From 0f90e6df751d1f95c222cdba74acb193cd560ac2 Mon Sep 17 00:00:00 2001 From: Jyong <76649700+JohnJyong@users.noreply.github.com> Date: Tue, 20 Aug 2024 13:20:19 +0800 Subject: [PATCH 001/164] add pgvector full text search settting (#7427) --- api/controllers/console/datasets/datasets.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py index a5bc2dd86a..f2a9a965ae 100644 --- a/api/controllers/console/datasets/datasets.py +++ b/api/controllers/console/datasets/datasets.py @@ -573,13 +573,13 @@ class DatasetRetrievalSettingMockApi(Resource): @account_initialization_required def get(self, vector_type): match vector_type: - case VectorType.MILVUS | VectorType.RELYT | VectorType.PGVECTOR | VectorType.TIDB_VECTOR | VectorType.CHROMA | VectorType.TENCENT: + case VectorType.MILVUS | VectorType.RELYT | VectorType.TIDB_VECTOR | VectorType.CHROMA | VectorType.TENCENT | VectorType.PGVECTO_RS: return { 'retrieval_method': [ RetrievalMethod.SEMANTIC_SEARCH.value ] } - case VectorType.QDRANT | VectorType.WEAVIATE | VectorType.OPENSEARCH| VectorType.ANALYTICDB | VectorType.MYSCALE | VectorType.ORACLE | VectorType.ELASTICSEARCH: + case VectorType.QDRANT | VectorType.WEAVIATE | VectorType.OPENSEARCH | VectorType.ANALYTICDB | VectorType.MYSCALE | VectorType.ORACLE | VectorType.ELASTICSEARCH | VectorType.PGVECTOR: return { 'retrieval_method': [ RetrievalMethod.SEMANTIC_SEARCH.value, From 2e9084f369cb7f05899e0abdc919a02e42efe218 Mon Sep 17 00:00:00 2001 From: -LAN- Date: Tue, 20 Aug 2024 14:34:03 +0800 Subject: [PATCH 002/164] chore(database): Rename table name from `workflow__conversation_variables` to `workflow_conversation_variables`. (#7432) --- ...ename_workflow__conversation_variables_.py | 28 +++++++++++++++++++ api/models/workflow.py | 2 +- 2 files changed, 29 insertions(+), 1 deletion(-) create mode 100644 api/migrations/versions/2024_08_20_0455-2dbe42621d96_rename_workflow__conversation_variables_.py diff --git a/api/migrations/versions/2024_08_20_0455-2dbe42621d96_rename_workflow__conversation_variables_.py b/api/migrations/versions/2024_08_20_0455-2dbe42621d96_rename_workflow__conversation_variables_.py new file mode 100644 index 0000000000..3dc7fed818 --- /dev/null +++ b/api/migrations/versions/2024_08_20_0455-2dbe42621d96_rename_workflow__conversation_variables_.py @@ -0,0 +1,28 @@ +"""rename workflow__conversation_variables to workflow_conversation_variables + +Revision ID: 2dbe42621d96 +Revises: a6be81136580 +Create Date: 2024-08-20 04:55:38.160010 + +""" +from alembic import op + +import models as models + +# revision identifiers, used by Alembic. +revision = '2dbe42621d96' +down_revision = 'a6be81136580' +branch_labels = None +depends_on = None + + +def upgrade(): + # ### commands auto generated by Alembic - please adjust! ### + op.rename_table('workflow__conversation_variables', 'workflow_conversation_variables') + # ### end Alembic commands ### + + +def downgrade(): + # ### commands auto generated by Alembic - please adjust! ### + op.rename_table('workflow_conversation_variables', 'workflow__conversation_variables') + # ### end Alembic commands ### diff --git a/api/models/workflow.py b/api/models/workflow.py index 759e07c715..396c023dc1 100644 --- a/api/models/workflow.py +++ b/api/models/workflow.py @@ -724,7 +724,7 @@ class WorkflowAppLog(db.Model): class ConversationVariable(db.Model): - __tablename__ = 'workflow__conversation_variables' + __tablename__ = 'workflow_conversation_variables' id: Mapped[str] = db.Column(StringUUID, primary_key=True) conversation_id: Mapped[str] = db.Column(StringUUID, nullable=False, primary_key=True) From 0d4753785f26aac1bb098ca316a63a0f83d05680 Mon Sep 17 00:00:00 2001 From: Yeuoly <45712896+Yeuoly@users.noreply.github.com> Date: Tue, 20 Aug 2024 15:37:29 +0800 Subject: [PATCH 003/164] chore: remove .idea and .vscode from root path (#7437) --- .gitignore | 1 + {.idea => api/.idea}/icon.png | Bin {.idea => api/.idea}/vcs.xml | 0 .../launch.json => api/.vscode/launch.json.example | 10 +++++----- 4 files changed, 6 insertions(+), 5 deletions(-) rename {.idea => api/.idea}/icon.png (100%) rename {.idea => api/.idea}/vcs.xml (100%) rename .vscode/launch.json => api/.vscode/launch.json.example (83%) diff --git a/.gitignore b/.gitignore index c52b9d8bbf..22aba65364 100644 --- a/.gitignore +++ b/.gitignore @@ -178,3 +178,4 @@ pyrightconfig.json api/.vscode .idea/ +.vscode \ No newline at end of file diff --git a/.idea/icon.png b/api/.idea/icon.png similarity index 100% rename from .idea/icon.png rename to api/.idea/icon.png diff --git a/.idea/vcs.xml b/api/.idea/vcs.xml similarity index 100% rename from .idea/vcs.xml rename to api/.idea/vcs.xml diff --git a/.vscode/launch.json b/api/.vscode/launch.json.example similarity index 83% rename from .vscode/launch.json rename to api/.vscode/launch.json.example index e4eb6aef93..e9f8e42dd5 100644 --- a/.vscode/launch.json +++ b/api/.vscode/launch.json.example @@ -5,8 +5,8 @@ "name": "Python: Flask", "type": "debugpy", "request": "launch", - "python": "${workspaceFolder}/api/.venv/bin/python", - "cwd": "${workspaceFolder}/api", + "python": "${workspaceFolder}/.venv/bin/python", + "cwd": "${workspaceFolder}", "envFile": ".env", "module": "flask", "justMyCode": true, @@ -18,15 +18,15 @@ "args": [ "run", "--host=0.0.0.0", - "--port=5001", + "--port=5001" ] }, { "name": "Python: Celery", "type": "debugpy", "request": "launch", - "python": "${workspaceFolder}/api/.venv/bin/python", - "cwd": "${workspaceFolder}/api", + "python": "${workspaceFolder}/.venv/bin/python", + "cwd": "${workspaceFolder}", "module": "celery", "justMyCode": true, "envFile": ".env", From 4f64a5d36deaa10578c8e32a57e4d1ada60f2322 Mon Sep 17 00:00:00 2001 From: -LAN- Date: Tue, 20 Aug 2024 15:40:19 +0800 Subject: [PATCH 004/164] refactor(api/core/workflow/nodes/variable_assigner): Split into multi files. (#7434) --- .../nodes/variable_assigner/__init__.py | 115 ++---------------- .../workflow/nodes/variable_assigner/exc.py | 2 + .../workflow/nodes/variable_assigner/node.py | 92 ++++++++++++++ .../nodes/variable_assigner/node_data.py | 19 +++ .../workflow/nodes/test_variable_assigner.py | 4 +- 5 files changed, 122 insertions(+), 110 deletions(-) create mode 100644 api/core/workflow/nodes/variable_assigner/exc.py create mode 100644 api/core/workflow/nodes/variable_assigner/node.py create mode 100644 api/core/workflow/nodes/variable_assigner/node_data.py diff --git a/api/core/workflow/nodes/variable_assigner/__init__.py b/api/core/workflow/nodes/variable_assigner/__init__.py index 552cc367f2..d791d51523 100644 --- a/api/core/workflow/nodes/variable_assigner/__init__.py +++ b/api/core/workflow/nodes/variable_assigner/__init__.py @@ -1,109 +1,8 @@ -from collections.abc import Sequence -from enum import Enum -from typing import Optional, cast +from .node import VariableAssignerNode +from .node_data import VariableAssignerData, WriteMode -from sqlalchemy import select -from sqlalchemy.orm import Session - -from core.app.segments import SegmentType, Variable, factory -from core.workflow.entities.base_node_data_entities import BaseNodeData -from core.workflow.entities.node_entities import NodeRunResult, NodeType -from core.workflow.entities.variable_pool import VariablePool -from core.workflow.nodes.base_node import BaseNode -from extensions.ext_database import db -from models import ConversationVariable, WorkflowNodeExecutionStatus - - -class VariableAssignerNodeError(Exception): - pass - - -class WriteMode(str, Enum): - OVER_WRITE = 'over-write' - APPEND = 'append' - CLEAR = 'clear' - - -class VariableAssignerData(BaseNodeData): - title: str = 'Variable Assigner' - desc: Optional[str] = 'Assign a value to a variable' - assigned_variable_selector: Sequence[str] - write_mode: WriteMode - input_variable_selector: Sequence[str] - - -class VariableAssignerNode(BaseNode): - _node_data_cls: type[BaseNodeData] = VariableAssignerData - _node_type: NodeType = NodeType.CONVERSATION_VARIABLE_ASSIGNER - - def _run(self, variable_pool: VariablePool) -> NodeRunResult: - data = cast(VariableAssignerData, self.node_data) - - # Should be String, Number, Object, ArrayString, ArrayNumber, ArrayObject - original_variable = variable_pool.get(data.assigned_variable_selector) - if not isinstance(original_variable, Variable): - raise VariableAssignerNodeError('assigned variable not found') - - match data.write_mode: - case WriteMode.OVER_WRITE: - income_value = variable_pool.get(data.input_variable_selector) - if not income_value: - raise VariableAssignerNodeError('input value not found') - updated_variable = original_variable.model_copy(update={'value': income_value.value}) - - case WriteMode.APPEND: - income_value = variable_pool.get(data.input_variable_selector) - if not income_value: - raise VariableAssignerNodeError('input value not found') - updated_value = original_variable.value + [income_value.value] - updated_variable = original_variable.model_copy(update={'value': updated_value}) - - case WriteMode.CLEAR: - income_value = get_zero_value(original_variable.value_type) - updated_variable = original_variable.model_copy(update={'value': income_value.to_object()}) - - case _: - raise VariableAssignerNodeError(f'unsupported write mode: {data.write_mode}') - - # Over write the variable. - variable_pool.add(data.assigned_variable_selector, updated_variable) - - # Update conversation variable. - # TODO: Find a better way to use the database. - conversation_id = variable_pool.get(['sys', 'conversation_id']) - if not conversation_id: - raise VariableAssignerNodeError('conversation_id not found') - update_conversation_variable(conversation_id=conversation_id.text, variable=updated_variable) - - return NodeRunResult( - status=WorkflowNodeExecutionStatus.SUCCEEDED, - inputs={ - 'value': income_value.to_object(), - }, - ) - - -def update_conversation_variable(conversation_id: str, variable: Variable): - stmt = select(ConversationVariable).where( - ConversationVariable.id == variable.id, ConversationVariable.conversation_id == conversation_id - ) - with Session(db.engine) as session: - row = session.scalar(stmt) - if not row: - raise VariableAssignerNodeError('conversation variable not found in the database') - row.data = variable.model_dump_json() - session.commit() - - -def get_zero_value(t: SegmentType): - match t: - case SegmentType.ARRAY_OBJECT | SegmentType.ARRAY_STRING | SegmentType.ARRAY_NUMBER: - return factory.build_segment([]) - case SegmentType.OBJECT: - return factory.build_segment({}) - case SegmentType.STRING: - return factory.build_segment('') - case SegmentType.NUMBER: - return factory.build_segment(0) - case _: - raise VariableAssignerNodeError(f'unsupported variable type: {t}') +__all__ = [ + 'VariableAssignerNode', + 'VariableAssignerData', + 'WriteMode', +] diff --git a/api/core/workflow/nodes/variable_assigner/exc.py b/api/core/workflow/nodes/variable_assigner/exc.py new file mode 100644 index 0000000000..914be22256 --- /dev/null +++ b/api/core/workflow/nodes/variable_assigner/exc.py @@ -0,0 +1,2 @@ +class VariableAssignerNodeError(Exception): + pass diff --git a/api/core/workflow/nodes/variable_assigner/node.py b/api/core/workflow/nodes/variable_assigner/node.py new file mode 100644 index 0000000000..8c2adcabb9 --- /dev/null +++ b/api/core/workflow/nodes/variable_assigner/node.py @@ -0,0 +1,92 @@ +from typing import cast + +from sqlalchemy import select +from sqlalchemy.orm import Session + +from core.app.segments import SegmentType, Variable, factory +from core.workflow.entities.base_node_data_entities import BaseNodeData +from core.workflow.entities.node_entities import NodeRunResult, NodeType +from core.workflow.entities.variable_pool import VariablePool +from core.workflow.nodes.base_node import BaseNode +from extensions.ext_database import db +from models import ConversationVariable, WorkflowNodeExecutionStatus + +from .exc import VariableAssignerNodeError +from .node_data import VariableAssignerData, WriteMode + + +class VariableAssignerNode(BaseNode): + _node_data_cls: type[BaseNodeData] = VariableAssignerData + _node_type: NodeType = NodeType.CONVERSATION_VARIABLE_ASSIGNER + + def _run(self, variable_pool: VariablePool) -> NodeRunResult: + data = cast(VariableAssignerData, self.node_data) + + # Should be String, Number, Object, ArrayString, ArrayNumber, ArrayObject + original_variable = variable_pool.get(data.assigned_variable_selector) + if not isinstance(original_variable, Variable): + raise VariableAssignerNodeError('assigned variable not found') + + match data.write_mode: + case WriteMode.OVER_WRITE: + income_value = variable_pool.get(data.input_variable_selector) + if not income_value: + raise VariableAssignerNodeError('input value not found') + updated_variable = original_variable.model_copy(update={'value': income_value.value}) + + case WriteMode.APPEND: + income_value = variable_pool.get(data.input_variable_selector) + if not income_value: + raise VariableAssignerNodeError('input value not found') + updated_value = original_variable.value + [income_value.value] + updated_variable = original_variable.model_copy(update={'value': updated_value}) + + case WriteMode.CLEAR: + income_value = get_zero_value(original_variable.value_type) + updated_variable = original_variable.model_copy(update={'value': income_value.to_object()}) + + case _: + raise VariableAssignerNodeError(f'unsupported write mode: {data.write_mode}') + + # Over write the variable. + variable_pool.add(data.assigned_variable_selector, updated_variable) + + # TODO: Move database operation to the pipeline. + # Update conversation variable. + conversation_id = variable_pool.get(['sys', 'conversation_id']) + if not conversation_id: + raise VariableAssignerNodeError('conversation_id not found') + update_conversation_variable(conversation_id=conversation_id.text, variable=updated_variable) + + return NodeRunResult( + status=WorkflowNodeExecutionStatus.SUCCEEDED, + inputs={ + 'value': income_value.to_object(), + }, + ) + + +def update_conversation_variable(conversation_id: str, variable: Variable): + stmt = select(ConversationVariable).where( + ConversationVariable.id == variable.id, ConversationVariable.conversation_id == conversation_id + ) + with Session(db.engine) as session: + row = session.scalar(stmt) + if not row: + raise VariableAssignerNodeError('conversation variable not found in the database') + row.data = variable.model_dump_json() + session.commit() + + +def get_zero_value(t: SegmentType): + match t: + case SegmentType.ARRAY_OBJECT | SegmentType.ARRAY_STRING | SegmentType.ARRAY_NUMBER: + return factory.build_segment([]) + case SegmentType.OBJECT: + return factory.build_segment({}) + case SegmentType.STRING: + return factory.build_segment('') + case SegmentType.NUMBER: + return factory.build_segment(0) + case _: + raise VariableAssignerNodeError(f'unsupported variable type: {t}') diff --git a/api/core/workflow/nodes/variable_assigner/node_data.py b/api/core/workflow/nodes/variable_assigner/node_data.py new file mode 100644 index 0000000000..b3652b6802 --- /dev/null +++ b/api/core/workflow/nodes/variable_assigner/node_data.py @@ -0,0 +1,19 @@ +from collections.abc import Sequence +from enum import Enum +from typing import Optional + +from core.workflow.entities.base_node_data_entities import BaseNodeData + + +class WriteMode(str, Enum): + OVER_WRITE = 'over-write' + APPEND = 'append' + CLEAR = 'clear' + + +class VariableAssignerData(BaseNodeData): + title: str = 'Variable Assigner' + desc: Optional[str] = 'Assign a value to a variable' + assigned_variable_selector: Sequence[str] + write_mode: WriteMode + input_variable_selector: Sequence[str] diff --git a/api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py b/api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py index 0b37d06fc0..78b3cf1415 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py +++ b/api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py @@ -52,7 +52,7 @@ def test_overwrite_string_variable(): input_variable, ) - with mock.patch('core.workflow.nodes.variable_assigner.update_conversation_variable') as mock_run: + with mock.patch('core.workflow.nodes.variable_assigner.node.update_conversation_variable') as mock_run: node.run(variable_pool) mock_run.assert_called_once() @@ -103,7 +103,7 @@ def test_append_variable_to_array(): input_variable, ) - with mock.patch('core.workflow.nodes.variable_assigner.update_conversation_variable') as mock_run: + with mock.patch('core.workflow.nodes.variable_assigner.node.update_conversation_variable') as mock_run: node.run(variable_pool) mock_run.assert_called_once() From e2d214e03062a58b2479912d0d722c7e361d1eb4 Mon Sep 17 00:00:00 2001 From: Joel Date: Tue, 20 Aug 2024 16:33:40 +0800 Subject: [PATCH 005/164] chore: add and update theme related css variables values (#7442) --- web/themes/dark.css | 65 ++++++++++++++++++++----- web/themes/light.css | 53 +++++++++++++++++--- web/themes/tailwind-theme-var-define.ts | 49 +++++++++++++++++-- 3 files changed, 142 insertions(+), 25 deletions(-) diff --git a/web/themes/dark.css b/web/themes/dark.css index 75534b14ed..b94124aad2 100644 --- a/web/themes/dark.css +++ b/web/themes/dark.css @@ -10,7 +10,7 @@ html[data-theme="dark"] { --color-components-input-bg-destructive: #FFFFFF03; --color-components-input-bg-disabled: #FFFFFF08; --color-components-input-text-disabled: #C8CEDA4D; - --color-components-input-text-filled-disabled: #C8CEDA66; + --color-components-input-text-filled-disabled: #C8CEDA99; --color-components-input-border-hover: #3A3A40; --color-components-input-border-active-prompt-1: #36BFFA; --color-components-input-border-active-prompt-2: #296DFF; @@ -57,7 +57,7 @@ html[data-theme="dark"] { --color-components-button-destructive-primary-border-hover: #FFFFFF33; --color-components-button-destructive-primary-border-disabled: #FFFFFF14; - --color-components-button-destructive-secondary-text: #F04438; + --color-components-button-destructive-secondary-text: #F97066; --color-components-button-destructive-secondary-text-disabled: #F0443833; --color-components-button-destructive-secondary-bg: #FFFFFF1F; --color-components-button-destructive-secondary-bg-hover: #F0443824; @@ -66,13 +66,13 @@ html[data-theme="dark"] { --color-components-button-destructive-secondary-border-hover: #FFFFFF1F; --color-components-button-destructive-secondary-border-disabled: #F0443814; - --color-components-button-destructive-tertiary-text: #F04438; + --color-components-button-destructive-tertiary-text: #F97066; --color-components-button-destructive-tertiary-text-disabled: #F0443833; --color-components-button-destructive-tertiary-bg: #F0443824; --color-components-button-destructive-tertiary-bg-hover: #F0443840; --color-components-button-destructive-tertiary-bg-disabled: #F0443814; - --color-components-button-destructive-ghost-text: #F04438; + --color-components-button-destructive-ghost-text: #F97066; --color-components-button-destructive-ghost-text-disabled: #F0443833; --color-components-button-destructive-ghost-bg-hover: #F0443824; @@ -136,6 +136,8 @@ html[data-theme="dark"] { --color-components-panel-on-panel-item-bg-hover: #3A3A40; --color-components-panel-on-panel-item-bg-alt: #3A3A40; + --color-components-panel-bg-transparent: #22222500; + --color-components-main-nav-nav-button-text: #C8CEDA99; --color-components-main-nav-nav-button-text-active: #F4F4F5; --color-components-main-nav-nav-button-bg: #FFFFFF00; @@ -204,7 +206,7 @@ html[data-theme="dark"] { --color-components-chart-current-2: #155AEF4D; --color-components-chart-bg: #18181BF2; - --color-components-actionbar-bg: #18181BCC; + --color-components-actionbar-bg: #222225; --color-components-actionbar-border: #C8CEDA14; --color-components-dropzone-bg-alt: #18181BCC; @@ -227,19 +229,29 @@ html[data-theme="dark"] { --color-components-progress-gray-bg: #C8CEDA05; --color-components-chat-input-audio-bg: #155AEF33; - --color-components-chat-input-audio-wave: #C8CEDA24; + --color-components-chat-input-audio-wave-default: #C8CEDA24; --color-components-chat-input-bg-mask-1: #18181B0A; --color-components-chat-input-bg-mask-2: #18181B99; --color-components-chat-input-border: #C8CEDA33; + --color-components-chat-input-audio-wave-active: #84ABFF; + --color-components-chat-input-audio-bg-alt: #18181BE5; + + --color-components-Avatar-shape-fill-stop-0: #FFFFFFF2; + --color-components-Avatar-shape-fill-stop-100: #FFFFFFCC; + + --color-components-Avatar-bg-mask-stop-0: #FFFFFF33; + --color-components-Avatar-bg-mask-stop-100: #FFFFFF08; + + --color-components-Avatar-default-avatar-bg: #222225; --color-text-primary: #FBFBFC; --color-text-secondary: #D9D9DE; --color-text-tertiary: #C8CEDA99; --color-text-quaternary: #C8CEDA66; - --color-text-destructive: #F04438; + --color-text-destructive: #F97066; --color-text-success: #17B26A; --color-text-warning: #F79009; - --color-text-destructive-secondary: #F04438; + --color-text-destructive-secondary: #F97066; --color-text-success-secondary: #47CD89; --color-text-warning-secondary: #FDB022; --color-text-accent: #5289FF; @@ -252,17 +264,20 @@ html[data-theme="dark"] { --color-text-secondary-on-surface: #FFFFFFE5; --color-text-logo-text: #E9E9EC; --color-text-empty-state-icon: #C8CEDA4D; + --color-text-inverted: #FFFFFF; --color-background-body: #1D1D20; --color-background-default-subtle: #222225; --color-background-neurtral-subtle: #1D1D20; - --color-background-sidenav-bg: #18181B80; + --color-background-sidenav-bg: #27272AEB; --color-background-default: #222225; --color-background-soft: #18181B40; --color-background-gradient-bg-fill-chat-bg-1: #222225; --color-background-gradient-bg-fill-chat-bg-2: #1D1D20; --color-background-gradient-bg-fill-chat-bubble-bg-1: #C8CEDA14; --color-background-gradient-bg-fill-chat-bubble-bg-2: #C8CEDA05; + --color-background-gradient-bg-fill-debug-bg-1: #C8CEDA14; + --color-background-gradient-bg-fill-debug-bg-2: #18181B0A; --color-background-gradient-mask-gray: #18181B14; --color-background-gradient-mask-transparent: #00000000; @@ -298,12 +313,8 @@ html[data-theme="dark"] { --color-shadow-shadow-2: #00000014; --color-shadow-shadow-10: #00000066; - --color-workflow-block-border: #FFFFFF14; - --color-workflow-block-panel-bg: #27272B; --color-workflow-block-border: #FFFFFF14; --color-workflow-block-parma-bg: #FFFFFF0D; - --color-workflow-block-nav-bg: #1D1D20; - --color-workflow-block-nav-border-right: #FFFFFF0D; --color-workflow-block-bg: #27272B; --color-workflow-canvas-workflow-dot-color: #8585AD26; @@ -557,6 +568,34 @@ html[data-theme="dark"] { --color-util-colors-gray-gray-600: #98A2B2; --color-util-colors-gray-gray-700: #D0D5DC; + --color-util-colors-green-light-green-light-50: #15290A; + --color-util-colors-green-light-green-light-100: #2B5314; + --color-util-colors-green-light-green-light-200: #326212; + --color-util-colors-green-light-green-light-300: #3B7C0F; + --color-util-colors-green-light-green-light-500: #66C61C; + --color-util-colors-green-light-green-light-400: #4CA30D; + --color-util-colors-green-light-green-light-600: #85E13A; + --color-util-colors-green-light-green-light-700: #A6EF67; + + --color-util-colors-rose-rose-50: #510B24; + --color-util-colors-rose-rose-100: #89123E; + --color-util-colors-rose-rose-200: #A11043; + --color-util-colors-rose-rose-300: #C01048; + --color-util-colors-rose-rose-400: #E31B54; + --color-util-colors-rose-rose-500: #F63D68; + --color-util-colors-rose-rose-600: #FD6F8E; + --color-util-colors-rose-rose-700: #FEA3B4; + + --color-util-colors-midnight-midnight-50: #171C22; + --color-util-colors-midnight-midnight-100: #202431; + --color-util-colors-midnight-midnight-200: #2F3648; + --color-util-colors-midnight-midnight-300: #3E465E; + --color-util-colors-midnight-midnight-400: #5D698D; + --color-util-colors-midnight-midnight-500: #828DAD; + --color-util-colors-midnight-midnight-600: #A7AEC5; + --color-util-colors-midnight-midnight-700: #C6CBD9; + --color-third-party-LangChain: #FFFFFF; --color-third-party-Langfuse: #FFFFFF; + --color-third-party-Github: #FFFFFF; } \ No newline at end of file diff --git a/web/themes/light.css b/web/themes/light.css index 5dd39abf88..80a0fa36f5 100644 --- a/web/themes/light.css +++ b/web/themes/light.css @@ -10,7 +10,7 @@ html[data-theme="light"] { --color-components-input-bg-destructive: #FFFFFF; --color-components-input-bg-disabled: #C8CEDA24; --color-components-input-text-disabled: #D0D5DC; - --color-components-input-text-filled-disabled: #1018284D; + --color-components-input-text-filled-disabled: #676F83; --color-components-input-border-hover: #D0D5DC; --color-components-input-border-active-prompt-1: #0BA5EC; --color-components-input-border-active-prompt-2: #155AEF; @@ -136,6 +136,8 @@ html[data-theme="light"] { --color-components-panel-on-panel-item-bg-hover: #F9FAFB; --color-components-panel-on-panel-item-bg-alt: #F9FAFB; + --color-components-panel-bg-transparent: #FFFFFF00; + --color-components-main-nav-nav-button-text: #495464; --color-components-main-nav-nav-button-text-active: #155AEF; --color-components-main-nav-nav-button-bg: #FFFFFF00; @@ -227,10 +229,20 @@ html[data-theme="light"] { --color-components-progress-gray-bg: #C8CEDA05; --color-components-chat-input-audio-bg: #EFF4FF; - --color-components-chat-input-audio-wave: #155AEF24; + --color-components-chat-input-audio-wave-default: #155AEF33; --color-components-chat-input-bg-mask-1: #FFFFFF03; --color-components-chat-input-bg-mask-2: #F2F4F7; --color-components-chat-input-border: #FFFFFF; + --color-components-chat-input-audio-wave-active: #296DFF; + --color-components-chat-input-audio-bg-alt: #FCFCFD; + + --color-components-Avatar-shape-fill-stop-0: #FFFFFF; + --color-components-Avatar-shape-fill-stop-100: #FFFFFFE5; + + --color-components-Avatar-bg-mask-stop-0: #FFFFFF1F; + --color-components-Avatar-bg-mask-stop-100: #FFFFFF14; + + --color-components-Avatar-default-avatar-bg: #D0D5DC; --color-text-primary: #101828; --color-text-secondary: #354052; @@ -252,17 +264,20 @@ html[data-theme="light"] { --color-text-secondary-on-surface: #FFFFFFE5; --color-text-logo-text: #18222F; --color-text-empty-state-icon: #D0D5DC; + --color-text-inverted: #000000; --color-background-body: #F2F4F7; --color-background-default-subtle: #FCFCFD; --color-background-neurtral-subtle: #F9FAFB; - --color-background-sidenav-bg: #FCFCFD; + --color-background-sidenav-bg: #FFFFFFCC; --color-background-default: #FFFFFF; --color-background-soft: #F9FAFB; --color-background-gradient-bg-fill-chat-bg-1: #F9FAFB; --color-background-gradient-bg-fill-chat-bg-2: #F2F4F7; --color-background-gradient-bg-fill-chat-bubble-bg-1: #FFFFFF; --color-background-gradient-bg-fill-chat-bubble-bg-2: #FFFFFF99; + --color-background-gradient-bg-fill-debug-bg-1: #FFFFFF00; + --color-background-gradient-bg-fill-debug-bg-2: #C8CEDA24; --color-background-gradient-mask-gray: #C8CEDA33; --color-background-gradient-mask-transparent: #FFFFFF00; @@ -298,12 +313,8 @@ html[data-theme="light"] { --color-shadow-shadow-2: #09090B0A; --color-shadow-shadow-10: #09090B0D; - --color-workflow-block-border: #18181B14; - --color-workflow-block-panel-bg: #FFFFFF; --color-workflow-block-border: #FFFFFF; --color-workflow-block-parma-bg: #F2F4F7; - --color-workflow-block-nav-bg: #FFFFFF; - --color-workflow-block-nav-border-right: #FFFFFF; --color-workflow-block-bg: #FCFCFD; --color-workflow-canvas-workflow-dot-color: #8585AD26; @@ -557,6 +568,34 @@ html[data-theme="light"] { --color-util-colors-gray-gray-600: #495464; --color-util-colors-gray-gray-700: #354052; + --color-util-colors-green-light-green-light-50: #F3FEE7; + --color-util-colors-green-light-green-light-100: #E3FBCC; + --color-util-colors-green-light-green-light-200: #D0F8AB; + --color-util-colors-green-light-green-light-300: #A6EF67; + --color-util-colors-green-light-green-light-500: #66C61C; + --color-util-colors-green-light-green-light-400: #85E13A; + --color-util-colors-green-light-green-light-600: #4CA30D; + --color-util-colors-green-light-green-light-700: #3B7C0F; + + --color-util-colors-rose-rose-50: #FFF1F3; + --color-util-colors-rose-rose-100: #FFE4E8; + --color-util-colors-rose-rose-200: #FECDD6; + --color-util-colors-rose-rose-300: #FEA3B4; + --color-util-colors-rose-rose-400: #FD6F8E; + --color-util-colors-rose-rose-500: #F63D68; + --color-util-colors-rose-rose-600: #E31B54; + --color-util-colors-rose-rose-700: #C01048; + + --color-util-colors-midnight-midnight-50: #FBFBFC; + --color-util-colors-midnight-midnight-100: #F0F2F5; + --color-util-colors-midnight-midnight-200: #DFE1EA; + --color-util-colors-midnight-midnight-300: #C6CBD9; + --color-util-colors-midnight-midnight-400: #A7AEC5; + --color-util-colors-midnight-midnight-500: #828DAD; + --color-util-colors-midnight-midnight-600: #5D698D; + --color-util-colors-midnight-midnight-700: #3E465E; + --color-third-party-LangChain: #1C3C3C; --color-third-party-Langfuse: #000000; + --color-third-party-Github: #1B1F24; } \ No newline at end of file diff --git a/web/themes/tailwind-theme-var-define.ts b/web/themes/tailwind-theme-var-define.ts index 1acb728b16..caeb01b5fa 100644 --- a/web/themes/tailwind-theme-var-define.ts +++ b/web/themes/tailwind-theme-var-define.ts @@ -136,6 +136,8 @@ const vars = { 'components-panel-on-panel-item-bg-hover': 'var(--color-components-panel-on-panel-item-bg-hover)', 'components-panel-on-panel-item-bg-alt': 'var(--color-components-panel-on-panel-item-bg-alt)', + 'components-panel-bg-transparent': 'var(--color-components-panel-bg-transparent)', + 'components-main-nav-nav-button-text': 'var(--color-components-main-nav-nav-button-text)', 'components-main-nav-nav-button-text-active': 'var(--color-components-main-nav-nav-button-text-active)', 'components-main-nav-nav-button-bg': 'var(--color-components-main-nav-nav-button-bg)', @@ -227,10 +229,20 @@ const vars = { 'components-progress-gray-bg': 'var(--color-components-progress-gray-bg)', 'components-chat-input-audio-bg': 'var(--color-components-chat-input-audio-bg)', - 'components-chat-input-audio-wave': 'var(--color-components-chat-input-audio-wave)', + 'components-chat-input-audio-wave-default': 'var(--color-components-chat-input-audio-wave-default)', 'components-chat-input-bg-mask-1': 'var(--color-components-chat-input-bg-mask-1)', 'components-chat-input-bg-mask-2': 'var(--color-components-chat-input-bg-mask-2)', 'components-chat-input-border': 'var(--color-components-chat-input-border)', + 'components-chat-input-audio-wave-active': 'var(--color-components-chat-input-audio-wave-active)', + 'components-chat-input-audio-bg-alt': 'var(--color-components-chat-input-audio-bg-alt)', + + 'components-Avatar-shape-fill-stop-0': 'var(--color-components-Avatar-shape-fill-stop-0)', + 'components-Avatar-shape-fill-stop-100': 'var(--color-components-Avatar-shape-fill-stop-100)', + + 'components-Avatar-bg-mask-stop-0': 'var(--color-components-Avatar-bg-mask-stop-0)', + 'components-Avatar-bg-mask-stop-100': 'var(--color-components-Avatar-bg-mask-stop-100)', + + 'components-Avatar-default-avatar-bg': 'var(--color-components-Avatar-default-avatar-bg)', 'text-primary': 'var(--color-text-primary)', 'text-secondary': 'var(--color-text-secondary)', @@ -252,6 +264,7 @@ const vars = { 'text-secondary-on-surface': 'var(--color-text-secondary-on-surface)', 'text-logo-text': 'var(--color-text-logo-text)', 'text-empty-state-icon': 'var(--color-text-empty-state-icon)', + 'text-inverted': 'var(--color-text-inverted)', 'background-body': 'var(--color-background-body)', 'background-default-subtle': 'var(--color-background-default-subtle)', @@ -263,6 +276,8 @@ const vars = { 'background-gradient-bg-fill-chat-bg-2': 'var(--color-background-gradient-bg-fill-chat-bg-2)', 'background-gradient-bg-fill-chat-bubble-bg-1': 'var(--color-background-gradient-bg-fill-chat-bubble-bg-1)', 'background-gradient-bg-fill-chat-bubble-bg-2': 'var(--color-background-gradient-bg-fill-chat-bubble-bg-2)', + 'background-gradient-bg-fill-debug-bg-1': 'var(--color-background-gradient-bg-fill-debug-bg-1)', + 'background-gradient-bg-fill-debug-bg-2': 'var(--color-background-gradient-bg-fill-debug-bg-2)', 'background-gradient-mask-gray': 'var(--color-background-gradient-mask-gray)', 'background-gradient-mask-transparent': 'var(--color-background-gradient-mask-transparent)', @@ -299,10 +314,7 @@ const vars = { 'shadow-shadow-10': 'var(--color-shadow-shadow-10)', 'workflow-block-border': 'var(--color-workflow-block-border)', - 'workflow-block-panel-bg': 'var(--color-workflow-block-panel-bg)', 'workflow-block-parma-bg': 'var(--color-workflow-block-parma-bg)', - 'workflow-block-nav-bg': 'var(--color-workflow-block-nav-bg)', - 'workflow-block-nav-border-right': 'var(--color-workflow-block-nav-border-right)', 'workflow-block-bg': 'var(--color-workflow-block-bg)', 'workflow-canvas-workflow-dot-color': 'var(--color-workflow-canvas-workflow-dot-color)', @@ -556,9 +568,36 @@ const vars = { 'util-colors-gray-gray-600': 'var(--color-util-colors-gray-gray-600)', 'util-colors-gray-gray-700': 'var(--color-util-colors-gray-gray-700)', + 'util-colors-green-light-green-light-50': 'var(--color-util-colors-green-light-green-light-50)', + 'util-colors-green-light-green-light-100': 'var(--color-util-colors-green-light-green-light-100)', + 'util-colors-green-light-green-light-200': 'var(--color-util-colors-green-light-green-light-200)', + 'util-colors-green-light-green-light-300': 'var(--color-util-colors-green-light-green-light-300)', + 'util-colors-green-light-green-light-500': 'var(--color-util-colors-green-light-green-light-500)', + 'util-colors-green-light-green-light-400': 'var(--color-util-colors-green-light-green-light-400)', + 'util-colors-green-light-green-light-600': 'var(--color-util-colors-green-light-green-light-600)', + 'util-colors-green-light-green-light-700': 'var(--color-util-colors-green-light-green-light-700)', + + 'util-colors-rose-rose-50': 'var(--color-util-colors-rose-rose-50)', + 'util-colors-rose-rose-100': 'var(--color-util-colors-rose-rose-100)', + 'util-colors-rose-rose-200': 'var(--color-util-colors-rose-rose-200)', + 'util-colors-rose-rose-300': 'var(--color-util-colors-rose-rose-300)', + 'util-colors-rose-rose-400': 'var(--color-util-colors-rose-rose-400)', + 'util-colors-rose-rose-500': 'var(--color-util-colors-rose-rose-500)', + 'util-colors-rose-rose-600': 'var(--color-util-colors-rose-rose-600)', + 'util-colors-rose-rose-700': 'var(--color-util-colors-rose-rose-700)', + + 'util-colors-midnight-midnight-50': 'var(--color-util-colors-midnight-midnight-50)', + 'util-colors-midnight-midnight-100': 'var(--color-util-colors-midnight-midnight-100)', + 'util-colors-midnight-midnight-200': 'var(--color-util-colors-midnight-midnight-200)', + 'util-colors-midnight-midnight-300': 'var(--color-util-colors-midnight-midnight-300)', + 'util-colors-midnight-midnight-400': 'var(--color-util-colors-midnight-midnight-400)', + 'util-colors-midnight-midnight-500': 'var(--color-util-colors-midnight-midnight-500)', + 'util-colors-midnight-midnight-600': 'var(--color-util-colors-midnight-midnight-600)', + 'util-colors-midnight-midnight-700': 'var(--color-util-colors-midnight-midnight-700)', + 'third-party-LangChain': 'var(--color-third-party-LangChain)', 'third-party-Langfuse': 'var(--color-third-party-Langfuse)', - + 'third-party-Github': 'var(--color-third-party-Github)', } export default vars From a10b207de2b7c1e606fa231c7ccdc908d1d43d22 Mon Sep 17 00:00:00 2001 From: -LAN- Date: Tue, 20 Aug 2024 17:30:14 +0800 Subject: [PATCH 006/164] refactor(api/core/app/app_config/entities.py): Move Type to outside and add EXTERNAL_DATA_TOOL. (#7444) --- .../easy_ui_based_app/variables/manager.py | 63 ++++++++----------- api/core/app/app_config/entities.py | 34 +++------- api/core/app/apps/base_app_generator.py | 28 ++++----- .../tools/provider/workflow_tool_provider.py | 43 ++++++------- api/core/workflow/nodes/start/entities.py | 6 +- .../workflow/test_workflow_converter.py | 12 ++-- 6 files changed, 82 insertions(+), 104 deletions(-) diff --git a/api/core/app/app_config/easy_ui_based_app/variables/manager.py b/api/core/app/app_config/easy_ui_based_app/variables/manager.py index 3eb006b46e..15fa4d99fd 100644 --- a/api/core/app/app_config/easy_ui_based_app/variables/manager.py +++ b/api/core/app/app_config/easy_ui_based_app/variables/manager.py @@ -1,6 +1,6 @@ import re -from core.app.app_config.entities import ExternalDataVariableEntity, VariableEntity +from core.app.app_config.entities import ExternalDataVariableEntity, VariableEntity, VariableEntityType from core.external_data_tool.factory import ExternalDataToolFactory @@ -13,7 +13,7 @@ class BasicVariablesConfigManager: :param config: model config args """ external_data_variables = [] - variables = [] + variable_entities = [] # old external_data_tools external_data_tools = config.get('external_data_tools', []) @@ -30,50 +30,41 @@ class BasicVariablesConfigManager: ) # variables and external_data_tools - for variable in config.get('user_input_form', []): - typ = list(variable.keys())[0] - if typ == 'external_data_tool': - val = variable[typ] - if 'config' not in val: + for variables in config.get('user_input_form', []): + variable_type = list(variables.keys())[0] + if variable_type == VariableEntityType.EXTERNAL_DATA_TOOL: + variable = variables[variable_type] + if 'config' not in variable: continue external_data_variables.append( ExternalDataVariableEntity( - variable=val['variable'], - type=val['type'], - config=val['config'] + variable=variable['variable'], + type=variable['type'], + config=variable['config'] ) ) - elif typ in [ - VariableEntity.Type.TEXT_INPUT.value, - VariableEntity.Type.PARAGRAPH.value, - VariableEntity.Type.NUMBER.value, + elif variable_type in [ + VariableEntityType.TEXT_INPUT, + VariableEntityType.PARAGRAPH, + VariableEntityType.NUMBER, + VariableEntityType.SELECT, ]: - variables.append( + variable = variables[variable_type] + variable_entities.append( VariableEntity( - type=VariableEntity.Type.value_of(typ), - variable=variable[typ].get('variable'), - description=variable[typ].get('description'), - label=variable[typ].get('label'), - required=variable[typ].get('required', False), - max_length=variable[typ].get('max_length'), - default=variable[typ].get('default'), - ) - ) - elif typ == VariableEntity.Type.SELECT.value: - variables.append( - VariableEntity( - type=VariableEntity.Type.SELECT, - variable=variable[typ].get('variable'), - description=variable[typ].get('description'), - label=variable[typ].get('label'), - required=variable[typ].get('required', False), - options=variable[typ].get('options'), - default=variable[typ].get('default'), + type=variable_type, + variable=variable.get('variable'), + description=variable.get('description'), + label=variable.get('label'), + required=variable.get('required', False), + max_length=variable.get('max_length'), + options=variable.get('options'), + default=variable.get('default'), ) ) - return variables, external_data_variables + return variable_entities, external_data_variables @classmethod def validate_and_set_defaults(cls, tenant_id: str, config: dict) -> tuple[dict, list[str]]: @@ -183,4 +174,4 @@ class BasicVariablesConfigManager: config=config ) - return config, ["external_data_tools"] \ No newline at end of file + return config, ["external_data_tools"] diff --git a/api/core/app/app_config/entities.py b/api/core/app/app_config/entities.py index 05a42a898e..bbb10d3d76 100644 --- a/api/core/app/app_config/entities.py +++ b/api/core/app/app_config/entities.py @@ -82,43 +82,29 @@ class PromptTemplateEntity(BaseModel): advanced_completion_prompt_template: Optional[AdvancedCompletionPromptTemplateEntity] = None +class VariableEntityType(str, Enum): + TEXT_INPUT = "text-input" + SELECT = "select" + PARAGRAPH = "paragraph" + NUMBER = "number" + EXTERNAL_DATA_TOOL = "external-data-tool" + + class VariableEntity(BaseModel): """ Variable Entity. """ - class Type(Enum): - TEXT_INPUT = 'text-input' - SELECT = 'select' - PARAGRAPH = 'paragraph' - NUMBER = 'number' - - @classmethod - def value_of(cls, value: str) -> 'VariableEntity.Type': - """ - Get value of given mode. - - :param value: mode value - :return: mode - """ - for mode in cls: - if mode.value == value: - return mode - raise ValueError(f'invalid variable type value {value}') variable: str label: str description: Optional[str] = None - type: Type + type: VariableEntityType required: bool = False max_length: Optional[int] = None options: Optional[list[str]] = None default: Optional[str] = None hint: Optional[str] = None - @property - def name(self) -> str: - return self.variable - class ExternalDataVariableEntity(BaseModel): """ @@ -252,4 +238,4 @@ class WorkflowUIBasedAppConfig(AppConfig): """ Workflow UI Based App Config Entity. """ - workflow_id: str \ No newline at end of file + workflow_id: str diff --git a/api/core/app/apps/base_app_generator.py b/api/core/app/apps/base_app_generator.py index 6f48aa2363..9e331dff4d 100644 --- a/api/core/app/apps/base_app_generator.py +++ b/api/core/app/apps/base_app_generator.py @@ -1,7 +1,7 @@ from collections.abc import Mapping from typing import Any, Optional -from core.app.app_config.entities import AppConfig, VariableEntity +from core.app.app_config.entities import AppConfig, VariableEntity, VariableEntityType class BaseAppGenerator: @@ -9,29 +9,29 @@ class BaseAppGenerator: user_inputs = user_inputs or {} # Filter input variables from form configuration, handle required fields, default values, and option values variables = app_config.variables - filtered_inputs = {var.name: self._validate_input(inputs=user_inputs, var=var) for var in variables} + filtered_inputs = {var.variable: self._validate_input(inputs=user_inputs, var=var) for var in variables} filtered_inputs = {k: self._sanitize_value(v) for k, v in filtered_inputs.items()} return filtered_inputs def _validate_input(self, *, inputs: Mapping[str, Any], var: VariableEntity): - user_input_value = inputs.get(var.name) + user_input_value = inputs.get(var.variable) if var.required and not user_input_value: - raise ValueError(f'{var.name} is required in input form') + raise ValueError(f'{var.variable} is required in input form') if not var.required and not user_input_value: # TODO: should we return None here if the default value is None? return var.default or '' if ( var.type in ( - VariableEntity.Type.TEXT_INPUT, - VariableEntity.Type.SELECT, - VariableEntity.Type.PARAGRAPH, + VariableEntityType.TEXT_INPUT, + VariableEntityType.SELECT, + VariableEntityType.PARAGRAPH, ) and user_input_value and not isinstance(user_input_value, str) ): - raise ValueError(f"(type '{var.type}') {var.name} in input form must be a string") - if var.type == VariableEntity.Type.NUMBER and isinstance(user_input_value, str): + raise ValueError(f"(type '{var.type}') {var.variable} in input form must be a string") + if var.type == VariableEntityType.NUMBER and isinstance(user_input_value, str): # may raise ValueError if user_input_value is not a valid number try: if '.' in user_input_value: @@ -39,14 +39,14 @@ class BaseAppGenerator: else: return int(user_input_value) except ValueError: - raise ValueError(f"{var.name} in input form must be a valid number") - if var.type == VariableEntity.Type.SELECT: + raise ValueError(f"{var.variable} in input form must be a valid number") + if var.type == VariableEntityType.SELECT: options = var.options or [] if user_input_value not in options: - raise ValueError(f'{var.name} in input form must be one of the following: {options}') - elif var.type in (VariableEntity.Type.TEXT_INPUT, VariableEntity.Type.PARAGRAPH): + raise ValueError(f'{var.variable} in input form must be one of the following: {options}') + elif var.type in (VariableEntityType.TEXT_INPUT, VariableEntityType.PARAGRAPH): if var.max_length and user_input_value and len(user_input_value) > var.max_length: - raise ValueError(f'{var.name} in input form must be less than {var.max_length} characters') + raise ValueError(f'{var.variable} in input form must be less than {var.max_length} characters') return user_input_value diff --git a/api/core/tools/provider/workflow_tool_provider.py b/api/core/tools/provider/workflow_tool_provider.py index f7911fea1d..f14abac767 100644 --- a/api/core/tools/provider/workflow_tool_provider.py +++ b/api/core/tools/provider/workflow_tool_provider.py @@ -1,6 +1,6 @@ from typing import Optional -from core.app.app_config.entities import VariableEntity +from core.app.app_config.entities import VariableEntity, VariableEntityType from core.app.apps.workflow.app_config_manager import WorkflowAppConfigManager from core.tools.entities.common_entities import I18nObject from core.tools.entities.tool_entities import ( @@ -18,6 +18,13 @@ from models.model import App, AppMode from models.tools import WorkflowToolProvider from models.workflow import Workflow +VARIABLE_TO_PARAMETER_TYPE_MAPPING = { + VariableEntityType.TEXT_INPUT: ToolParameter.ToolParameterType.STRING, + VariableEntityType.PARAGRAPH: ToolParameter.ToolParameterType.STRING, + VariableEntityType.SELECT: ToolParameter.ToolParameterType.SELECT, + VariableEntityType.NUMBER: ToolParameter.ToolParameterType.NUMBER, +} + class WorkflowToolProviderController(ToolProviderController): provider_id: str @@ -28,7 +35,7 @@ class WorkflowToolProviderController(ToolProviderController): if not app: raise ValueError('app not found') - + controller = WorkflowToolProviderController(**{ 'identity': { 'author': db_provider.user.name if db_provider.user_id and db_provider.user else '', @@ -46,7 +53,7 @@ class WorkflowToolProviderController(ToolProviderController): 'credentials_schema': {}, 'provider_id': db_provider.id or '', }) - + # init tools controller.tools = [controller._get_db_provider_tool(db_provider, app)] @@ -56,7 +63,7 @@ class WorkflowToolProviderController(ToolProviderController): @property def provider_type(self) -> ToolProviderType: return ToolProviderType.WORKFLOW - + def _get_db_provider_tool(self, db_provider: WorkflowToolProvider, app: App) -> WorkflowTool: """ get db provider tool @@ -93,23 +100,11 @@ class WorkflowToolProviderController(ToolProviderController): if variable: parameter_type = None options = None - if variable.type in [ - VariableEntity.Type.TEXT_INPUT, - VariableEntity.Type.PARAGRAPH, - ]: - parameter_type = ToolParameter.ToolParameterType.STRING - elif variable.type in [ - VariableEntity.Type.SELECT - ]: - parameter_type = ToolParameter.ToolParameterType.SELECT - elif variable.type in [ - VariableEntity.Type.NUMBER - ]: - parameter_type = ToolParameter.ToolParameterType.NUMBER - else: + if variable.type not in VARIABLE_TO_PARAMETER_TYPE_MAPPING: raise ValueError(f'unsupported variable type {variable.type}') - - if variable.type == VariableEntity.Type.SELECT and variable.options: + parameter_type = VARIABLE_TO_PARAMETER_TYPE_MAPPING[variable.type] + + if variable.type == VariableEntityType.SELECT and variable.options: options = [ ToolParameterOption( value=option, @@ -200,7 +195,7 @@ class WorkflowToolProviderController(ToolProviderController): """ if self.tools is not None: return self.tools - + db_providers: WorkflowToolProvider = db.session.query(WorkflowToolProvider).filter( WorkflowToolProvider.tenant_id == tenant_id, WorkflowToolProvider.app_id == self.provider_id, @@ -208,11 +203,11 @@ class WorkflowToolProviderController(ToolProviderController): if not db_providers: return [] - + self.tools = [self._get_db_provider_tool(db_providers, db_providers.app)] return self.tools - + def get_tool(self, tool_name: str) -> Optional[WorkflowTool]: """ get tool by name @@ -226,5 +221,5 @@ class WorkflowToolProviderController(ToolProviderController): for tool in self.tools: if tool.identity.name == tool_name: return tool - + return None diff --git a/api/core/workflow/nodes/start/entities.py b/api/core/workflow/nodes/start/entities.py index 0bd5f203bf..b81ce15bd7 100644 --- a/api/core/workflow/nodes/start/entities.py +++ b/api/core/workflow/nodes/start/entities.py @@ -1,3 +1,7 @@ +from collections.abc import Sequence + +from pydantic import Field + from core.app.app_config.entities import VariableEntity from core.workflow.entities.base_node_data_entities import BaseNodeData @@ -6,4 +10,4 @@ class StartNodeData(BaseNodeData): """ Start Node Data """ - variables: list[VariableEntity] = [] + variables: Sequence[VariableEntity] = Field(default_factory=list) diff --git a/api/tests/unit_tests/services/workflow/test_workflow_converter.py b/api/tests/unit_tests/services/workflow/test_workflow_converter.py index f589cd2097..a45423bf39 100644 --- a/api/tests/unit_tests/services/workflow/test_workflow_converter.py +++ b/api/tests/unit_tests/services/workflow/test_workflow_converter.py @@ -14,6 +14,7 @@ from core.app.app_config.entities import ( ModelConfigEntity, PromptTemplateEntity, VariableEntity, + VariableEntityType, ) from core.helper import encrypter from core.model_runtime.entities.llm_entities import LLMMode @@ -25,23 +26,24 @@ from services.workflow.workflow_converter import WorkflowConverter @pytest.fixture def default_variables(): - return [ + value = [ VariableEntity( variable="text_input", label="text-input", - type=VariableEntity.Type.TEXT_INPUT + type=VariableEntityType.TEXT_INPUT, ), VariableEntity( variable="paragraph", label="paragraph", - type=VariableEntity.Type.PARAGRAPH + type=VariableEntityType.PARAGRAPH, ), VariableEntity( variable="select", label="select", - type=VariableEntity.Type.SELECT - ) + type=VariableEntityType.SELECT, + ), ] + return value def test__convert_to_start_node(default_variables): From 5e42e90abca5f08869bfcb37b7a9a6733e58bf0a Mon Sep 17 00:00:00 2001 From: -LAN- Date: Tue, 20 Aug 2024 17:51:49 +0800 Subject: [PATCH 007/164] fix(api/services/workflow/workflow_converter.py): Add NoneType checkers & format file. (#7446) --- api/services/workflow/workflow_converter.py | 319 ++++++++------------ 1 file changed, 127 insertions(+), 192 deletions(-) diff --git a/api/services/workflow/workflow_converter.py b/api/services/workflow/workflow_converter.py index 9578ffc49b..c9057bd0e5 100644 --- a/api/services/workflow/workflow_converter.py +++ b/api/services/workflow/workflow_converter.py @@ -32,12 +32,9 @@ class WorkflowConverter: App Convert to Workflow Mode """ - def convert_to_workflow(self, app_model: App, - account: Account, - name: str, - icon_type: str, - icon: str, - icon_background: str) -> App: + def convert_to_workflow( + self, app_model: App, account: Account, name: str, icon_type: str, icon: str, icon_background: str + ): """ Convert app to workflow @@ -56,18 +53,18 @@ class WorkflowConverter: :return: new App instance """ # convert app model config + if not app_model.app_model_config: + raise ValueError("App model config is required") + workflow = self.convert_app_model_config_to_workflow( - app_model=app_model, - app_model_config=app_model.app_model_config, - account_id=account.id + app_model=app_model, app_model_config=app_model.app_model_config, account_id=account.id ) # create new app new_app = App() new_app.tenant_id = app_model.tenant_id - new_app.name = name if name else app_model.name + '(workflow)' - new_app.mode = AppMode.ADVANCED_CHAT.value \ - if app_model.mode == AppMode.CHAT.value else AppMode.WORKFLOW.value + new_app.name = name if name else app_model.name + "(workflow)" + new_app.mode = AppMode.ADVANCED_CHAT.value if app_model.mode == AppMode.CHAT.value else AppMode.WORKFLOW.value new_app.icon_type = icon_type if icon_type else app_model.icon_type new_app.icon = icon if icon else app_model.icon new_app.icon_background = icon_background if icon_background else app_model.icon_background @@ -88,30 +85,21 @@ class WorkflowConverter: return new_app - def convert_app_model_config_to_workflow(self, app_model: App, - app_model_config: AppModelConfig, - account_id: str) -> Workflow: + def convert_app_model_config_to_workflow(self, app_model: App, app_model_config: AppModelConfig, account_id: str): """ Convert app model config to workflow mode :param app_model: App instance :param app_model_config: AppModelConfig instance :param account_id: Account ID - :return: """ # get new app mode new_app_mode = self._get_new_app_mode(app_model) # convert app model config - app_config = self._convert_to_app_config( - app_model=app_model, - app_model_config=app_model_config - ) + app_config = self._convert_to_app_config(app_model=app_model, app_model_config=app_model_config) # init workflow graph - graph = { - "nodes": [], - "edges": [] - } + graph = {"nodes": [], "edges": []} # Convert list: # - variables -> start @@ -123,11 +111,9 @@ class WorkflowConverter: # - show_retrieve_source -> knowledge-retrieval # convert to start node - start_node = self._convert_to_start_node( - variables=app_config.variables - ) + start_node = self._convert_to_start_node(variables=app_config.variables) - graph['nodes'].append(start_node) + graph["nodes"].append(start_node) # convert to http request node external_data_variable_node_mapping = {} @@ -135,7 +121,7 @@ class WorkflowConverter: http_request_nodes, external_data_variable_node_mapping = self._convert_to_http_request_node( app_model=app_model, variables=app_config.variables, - external_data_variables=app_config.external_data_variables + external_data_variables=app_config.external_data_variables, ) for http_request_node in http_request_nodes: @@ -144,9 +130,7 @@ class WorkflowConverter: # convert to knowledge retrieval node if app_config.dataset: knowledge_retrieval_node = self._convert_to_knowledge_retrieval_node( - new_app_mode=new_app_mode, - dataset_config=app_config.dataset, - model_config=app_config.model + new_app_mode=new_app_mode, dataset_config=app_config.dataset, model_config=app_config.model ) if knowledge_retrieval_node: @@ -160,7 +144,7 @@ class WorkflowConverter: model_config=app_config.model, prompt_template=app_config.prompt_template, file_upload=app_config.additional_features.file_upload, - external_data_variable_node_mapping=external_data_variable_node_mapping + external_data_variable_node_mapping=external_data_variable_node_mapping, ) graph = self._append_node(graph, llm_node) @@ -199,7 +183,7 @@ class WorkflowConverter: tenant_id=app_model.tenant_id, app_id=app_model.id, type=WorkflowType.from_app_mode(new_app_mode).value, - version='draft', + version="draft", graph=json.dumps(graph), features=json.dumps(features), created_by=account_id, @@ -212,24 +196,18 @@ class WorkflowConverter: return workflow - def _convert_to_app_config(self, app_model: App, - app_model_config: AppModelConfig) -> EasyUIBasedAppConfig: + def _convert_to_app_config(self, app_model: App, app_model_config: AppModelConfig) -> EasyUIBasedAppConfig: app_mode = AppMode.value_of(app_model.mode) if app_mode == AppMode.AGENT_CHAT or app_model.is_agent: app_model.mode = AppMode.AGENT_CHAT.value app_config = AgentChatAppConfigManager.get_app_config( - app_model=app_model, - app_model_config=app_model_config + app_model=app_model, app_model_config=app_model_config ) elif app_mode == AppMode.CHAT: - app_config = ChatAppConfigManager.get_app_config( - app_model=app_model, - app_model_config=app_model_config - ) + app_config = ChatAppConfigManager.get_app_config(app_model=app_model, app_model_config=app_model_config) elif app_mode == AppMode.COMPLETION: app_config = CompletionAppConfigManager.get_app_config( - app_model=app_model, - app_model_config=app_model_config + app_model=app_model, app_model_config=app_model_config ) else: raise ValueError("Invalid app mode") @@ -248,14 +226,13 @@ class WorkflowConverter: "data": { "title": "START", "type": NodeType.START.value, - "variables": [jsonable_encoder(v) for v in variables] - } + "variables": [jsonable_encoder(v) for v in variables], + }, } - def _convert_to_http_request_node(self, app_model: App, - variables: list[VariableEntity], - external_data_variables: list[ExternalDataVariableEntity]) \ - -> tuple[list[dict], dict[str, str]]: + def _convert_to_http_request_node( + self, app_model: App, variables: list[VariableEntity], external_data_variables: list[ExternalDataVariableEntity] + ) -> tuple[list[dict], dict[str, str]]: """ Convert API Based Extension to HTTP Request Node :param app_model: App instance @@ -277,40 +254,33 @@ class WorkflowConverter: # get params from config api_based_extension_id = tool_config.get("api_based_extension_id") + if not api_based_extension_id: + continue # get api_based_extension api_based_extension = self._get_api_based_extension( - tenant_id=tenant_id, - api_based_extension_id=api_based_extension_id + tenant_id=tenant_id, api_based_extension_id=api_based_extension_id ) - if not api_based_extension: - raise ValueError("[External data tool] API query failed, variable: {}, " - "error: api_based_extension_id is invalid" - .format(tool_variable)) - # decrypt api_key - api_key = encrypter.decrypt_token( - tenant_id=tenant_id, - token=api_based_extension.api_key - ) + api_key = encrypter.decrypt_token(tenant_id=tenant_id, token=api_based_extension.api_key) inputs = {} for v in variables: - inputs[v.variable] = '{{#start.' + v.variable + '#}}' + inputs[v.variable] = "{{#start." + v.variable + "#}}" request_body = { - 'point': APIBasedExtensionPoint.APP_EXTERNAL_DATA_TOOL_QUERY.value, - 'params': { - 'app_id': app_model.id, - 'tool_variable': tool_variable, - 'inputs': inputs, - 'query': '{{#sys.query#}}' if app_model.mode == AppMode.CHAT.value else '' - } + "point": APIBasedExtensionPoint.APP_EXTERNAL_DATA_TOOL_QUERY.value, + "params": { + "app_id": app_model.id, + "tool_variable": tool_variable, + "inputs": inputs, + "query": "{{#sys.query#}}" if app_model.mode == AppMode.CHAT.value else "", + }, } request_body_json = json.dumps(request_body) - request_body_json = request_body_json.replace(r'\{\{', '{{').replace(r'\}\}', '}}') + request_body_json = request_body_json.replace(r"\{\{", "{{").replace(r"\}\}", "}}") http_request_node = { "id": f"http_request_{index}", @@ -320,20 +290,11 @@ class WorkflowConverter: "type": NodeType.HTTP_REQUEST.value, "method": "post", "url": api_based_extension.api_endpoint, - "authorization": { - "type": "api-key", - "config": { - "type": "bearer", - "api_key": api_key - } - }, + "authorization": {"type": "api-key", "config": {"type": "bearer", "api_key": api_key}}, "headers": "", "params": "", - "body": { - "type": "json", - "data": request_body_json - } - } + "body": {"type": "json", "data": request_body_json}, + }, } nodes.append(http_request_node) @@ -345,32 +306,24 @@ class WorkflowConverter: "data": { "title": f"Parse {api_based_extension.name} Response", "type": NodeType.CODE.value, - "variables": [{ - "variable": "response_json", - "value_selector": [http_request_node['id'], "body"] - }], + "variables": [{"variable": "response_json", "value_selector": [http_request_node["id"], "body"]}], "code_language": "python3", "code": "import json\n\ndef main(response_json: str) -> str:\n response_body = json.loads(" - "response_json)\n return {\n \"result\": response_body[\"result\"]\n }", - "outputs": { - "result": { - "type": "string" - } - } - } + 'response_json)\n return {\n "result": response_body["result"]\n }', + "outputs": {"result": {"type": "string"}}, + }, } nodes.append(code_node) - external_data_variable_node_mapping[external_data_variable.variable] = code_node['id'] + external_data_variable_node_mapping[external_data_variable.variable] = code_node["id"] index += 1 return nodes, external_data_variable_node_mapping - def _convert_to_knowledge_retrieval_node(self, new_app_mode: AppMode, - dataset_config: DatasetEntity, - model_config: ModelConfigEntity) \ - -> Optional[dict]: + def _convert_to_knowledge_retrieval_node( + self, new_app_mode: AppMode, dataset_config: DatasetEntity, model_config: ModelConfigEntity + ) -> Optional[dict]: """ Convert datasets to Knowledge Retrieval Node :param new_app_mode: new app mode @@ -404,7 +357,7 @@ class WorkflowConverter: "completion_params": { **model_config.parameters, "stop": model_config.stop, - } + }, } } if retrieve_config.retrieve_strategy == DatasetRetrieveConfigEntity.RetrieveStrategy.SINGLE @@ -412,20 +365,23 @@ class WorkflowConverter: "multiple_retrieval_config": { "top_k": retrieve_config.top_k, "score_threshold": retrieve_config.score_threshold, - "reranking_model": retrieve_config.reranking_model + "reranking_model": retrieve_config.reranking_model, } if retrieve_config.retrieve_strategy == DatasetRetrieveConfigEntity.RetrieveStrategy.MULTIPLE else None, - } + }, } - def _convert_to_llm_node(self, original_app_mode: AppMode, - new_app_mode: AppMode, - graph: dict, - model_config: ModelConfigEntity, - prompt_template: PromptTemplateEntity, - file_upload: Optional[FileExtraConfig] = None, - external_data_variable_node_mapping: dict[str, str] = None) -> dict: + def _convert_to_llm_node( + self, + original_app_mode: AppMode, + new_app_mode: AppMode, + graph: dict, + model_config: ModelConfigEntity, + prompt_template: PromptTemplateEntity, + file_upload: Optional[FileExtraConfig] = None, + external_data_variable_node_mapping: dict[str, str] | None = None, + ) -> dict: """ Convert to LLM Node :param original_app_mode: original app mode @@ -437,17 +393,18 @@ class WorkflowConverter: :param external_data_variable_node_mapping: external data variable node mapping """ # fetch start and knowledge retrieval node - start_node = next(filter(lambda n: n['data']['type'] == NodeType.START.value, graph['nodes'])) - knowledge_retrieval_node = next(filter( - lambda n: n['data']['type'] == NodeType.KNOWLEDGE_RETRIEVAL.value, - graph['nodes'] - ), None) + start_node = next(filter(lambda n: n["data"]["type"] == NodeType.START.value, graph["nodes"])) + knowledge_retrieval_node = next( + filter(lambda n: n["data"]["type"] == NodeType.KNOWLEDGE_RETRIEVAL.value, graph["nodes"]), None + ) role_prefix = None # Chat Model if model_config.mode == LLMMode.CHAT.value: if prompt_template.prompt_type == PromptTemplateEntity.PromptType.SIMPLE: + if not prompt_template.simple_prompt_template: + raise ValueError("Simple prompt template is required") # get prompt template prompt_transform = SimplePromptTransform() prompt_template_config = prompt_transform.get_prompt_template( @@ -456,45 +413,35 @@ class WorkflowConverter: model=model_config.model, pre_prompt=prompt_template.simple_prompt_template, has_context=knowledge_retrieval_node is not None, - query_in_prompt=False + query_in_prompt=False, ) - template = prompt_template_config['prompt_template'].template + template = prompt_template_config["prompt_template"].template if not template: prompts = [] else: template = self._replace_template_variables( - template, - start_node['data']['variables'], - external_data_variable_node_mapping + template, start_node["data"]["variables"], external_data_variable_node_mapping ) - prompts = [ - { - "role": 'user', - "text": template - } - ] + prompts = [{"role": "user", "text": template}] else: advanced_chat_prompt_template = prompt_template.advanced_chat_prompt_template prompts = [] - for m in advanced_chat_prompt_template.messages: - if advanced_chat_prompt_template: + if advanced_chat_prompt_template: + for m in advanced_chat_prompt_template.messages: text = m.text text = self._replace_template_variables( - text, - start_node['data']['variables'], - external_data_variable_node_mapping + text, start_node["data"]["variables"], external_data_variable_node_mapping ) - prompts.append({ - "role": m.role.value, - "text": text - }) + prompts.append({"role": m.role.value, "text": text}) # Completion Model else: if prompt_template.prompt_type == PromptTemplateEntity.PromptType.SIMPLE: + if not prompt_template.simple_prompt_template: + raise ValueError("Simple prompt template is required") # get prompt template prompt_transform = SimplePromptTransform() prompt_template_config = prompt_transform.get_prompt_template( @@ -503,57 +450,50 @@ class WorkflowConverter: model=model_config.model, pre_prompt=prompt_template.simple_prompt_template, has_context=knowledge_retrieval_node is not None, - query_in_prompt=False + query_in_prompt=False, ) - template = prompt_template_config['prompt_template'].template + template = prompt_template_config["prompt_template"].template template = self._replace_template_variables( - template, - start_node['data']['variables'], - external_data_variable_node_mapping + template=template, + variables=start_node["data"]["variables"], + external_data_variable_node_mapping=external_data_variable_node_mapping, ) - prompts = { - "text": template - } + prompts = {"text": template} - prompt_rules = prompt_template_config['prompt_rules'] + prompt_rules = prompt_template_config["prompt_rules"] role_prefix = { - "user": prompt_rules.get('human_prefix', 'Human'), - "assistant": prompt_rules.get('assistant_prefix', 'Assistant') + "user": prompt_rules.get("human_prefix", "Human"), + "assistant": prompt_rules.get("assistant_prefix", "Assistant"), } else: advanced_completion_prompt_template = prompt_template.advanced_completion_prompt_template if advanced_completion_prompt_template: text = advanced_completion_prompt_template.prompt text = self._replace_template_variables( - text, - start_node['data']['variables'], - external_data_variable_node_mapping + template=text, + variables=start_node["data"]["variables"], + external_data_variable_node_mapping=external_data_variable_node_mapping, ) else: text = "" - text = text.replace('{{#query#}}', '{{#sys.query#}}') + text = text.replace("{{#query#}}", "{{#sys.query#}}") prompts = { "text": text, } - if advanced_completion_prompt_template.role_prefix: + if advanced_completion_prompt_template and advanced_completion_prompt_template.role_prefix: role_prefix = { "user": advanced_completion_prompt_template.role_prefix.user, - "assistant": advanced_completion_prompt_template.role_prefix.assistant + "assistant": advanced_completion_prompt_template.role_prefix.assistant, } memory = None if new_app_mode == AppMode.ADVANCED_CHAT: - memory = { - "role_prefix": role_prefix, - "window": { - "enabled": False - } - } + memory = {"role_prefix": role_prefix, "window": {"enabled": False}} completion_params = model_config.parameters completion_params.update({"stop": model_config.stop}) @@ -567,28 +507,29 @@ class WorkflowConverter: "provider": model_config.provider, "name": model_config.model, "mode": model_config.mode, - "completion_params": completion_params + "completion_params": completion_params, }, "prompt_template": prompts, "memory": memory, "context": { "enabled": knowledge_retrieval_node is not None, "variable_selector": ["knowledge_retrieval", "result"] - if knowledge_retrieval_node is not None else None + if knowledge_retrieval_node is not None + else None, }, "vision": { "enabled": file_upload is not None, "variable_selector": ["sys", "files"] if file_upload is not None else None, - "configs": { - "detail": file_upload.image_config['detail'] - } if file_upload is not None else None - } - } + "configs": {"detail": file_upload.image_config["detail"]} + if file_upload is not None and file_upload.image_config is not None + else None, + }, + }, } - def _replace_template_variables(self, template: str, - variables: list[dict], - external_data_variable_node_mapping: dict[str, str] = None) -> str: + def _replace_template_variables( + self, template: str, variables: list[dict], external_data_variable_node_mapping: dict[str, str] | None = None + ) -> str: """ Replace Template Variables :param template: template @@ -597,12 +538,11 @@ class WorkflowConverter: :return: """ for v in variables: - template = template.replace('{{' + v['variable'] + '}}', '{{#start.' + v['variable'] + '#}}') + template = template.replace("{{" + v["variable"] + "}}", "{{#start." + v["variable"] + "#}}") if external_data_variable_node_mapping: for variable, code_node_id in external_data_variable_node_mapping.items(): - template = template.replace('{{' + variable + '}}', - '{{#' + code_node_id + '.result#}}') + template = template.replace("{{" + variable + "}}", "{{#" + code_node_id + ".result#}}") return template @@ -618,11 +558,8 @@ class WorkflowConverter: "data": { "title": "END", "type": NodeType.END.value, - "outputs": [{ - "variable": "result", - "value_selector": ["llm", "text"] - }] - } + "outputs": [{"variable": "result", "value_selector": ["llm", "text"]}], + }, } def _convert_to_answer_node(self) -> dict: @@ -634,11 +571,7 @@ class WorkflowConverter: return { "id": "answer", "position": None, - "data": { - "title": "ANSWER", - "type": NodeType.ANSWER.value, - "answer": "{{#llm.text#}}" - } + "data": {"title": "ANSWER", "type": NodeType.ANSWER.value, "answer": "{{#llm.text#}}"}, } def _create_edge(self, source: str, target: str) -> dict: @@ -648,11 +581,7 @@ class WorkflowConverter: :param target: target node id :return: """ - return { - "id": f"{source}-{target}", - "source": source, - "target": target - } + return {"id": f"{source}-{target}", "source": source, "target": target} def _append_node(self, graph: dict, node: dict) -> dict: """ @@ -662,9 +591,9 @@ class WorkflowConverter: :param node: Node to append :return: """ - previous_node = graph['nodes'][-1] - graph['nodes'].append(node) - graph['edges'].append(self._create_edge(previous_node['id'], node['id'])) + previous_node = graph["nodes"][-1] + graph["nodes"].append(node) + graph["edges"].append(self._create_edge(previous_node["id"], node["id"])) return graph def _get_new_app_mode(self, app_model: App) -> AppMode: @@ -678,14 +607,20 @@ class WorkflowConverter: else: return AppMode.ADVANCED_CHAT - def _get_api_based_extension(self, tenant_id: str, api_based_extension_id: str) -> APIBasedExtension: + def _get_api_based_extension(self, tenant_id: str, api_based_extension_id: str): """ Get API Based Extension :param tenant_id: tenant id :param api_based_extension_id: api based extension id :return: """ - return db.session.query(APIBasedExtension).filter( - APIBasedExtension.tenant_id == tenant_id, - APIBasedExtension.id == api_based_extension_id - ).first() + api_based_extension = ( + db.session.query(APIBasedExtension) + .filter(APIBasedExtension.tenant_id == tenant_id, APIBasedExtension.id == api_based_extension_id) + .first() + ) + + if not api_based_extension: + raise ValueError(f"API Based Extension not found, id: {api_based_extension_id}") + + return api_based_extension From 4f5f27cf2ba6322b4a9fbd7a98fa791f3083c8bf Mon Sep 17 00:00:00 2001 From: -LAN- Date: Tue, 20 Aug 2024 17:52:06 +0800 Subject: [PATCH 008/164] refactor(api/core/workflow/enums.py): Rename SystemVariable to SystemVariableKey. (#7445) --- .../app/apps/advanced_chat/app_generator.py | 32 +++++++------- .../advanced_chat/generate_task_pipeline.py | 12 +++--- api/core/app/apps/workflow/app_runner.py | 6 +-- .../apps/workflow/generate_task_pipeline.py | 8 ++-- .../workflow_cycle_state_manager.py | 4 +- api/core/workflow/entities/variable_pool.py | 18 ++++---- api/core/workflow/enums.py | 24 +++-------- api/core/workflow/nodes/llm/llm_node.py | 12 +++--- api/core/workflow/nodes/start/start_node.py | 14 +++---- api/core/workflow/nodes/tool/tool_node.py | 4 +- .../workflow/nodes/test_llm.py | 18 ++++---- .../nodes/test_parameter_extractor.py | 42 +++++++++---------- .../core/app/segments/test_segment.py | 6 +-- .../core/workflow/nodes/test_answer.py | 6 +-- .../core/workflow/nodes/test_if_else.py | 10 ++--- .../workflow/nodes/test_variable_assigner.py | 8 ++-- 16 files changed, 106 insertions(+), 118 deletions(-) diff --git a/api/core/app/apps/advanced_chat/app_generator.py b/api/core/app/apps/advanced_chat/app_generator.py index 351eb05d8a..5a1e5973cd 100644 --- a/api/core/app/apps/advanced_chat/app_generator.py +++ b/api/core/app/apps/advanced_chat/app_generator.py @@ -29,7 +29,7 @@ from core.file.message_file_parser import MessageFileParser from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError from core.ops.ops_trace_manager import TraceQueueManager from core.workflow.entities.variable_pool import VariablePool -from core.workflow.enums import SystemVariable +from core.workflow.enums import SystemVariableKey from extensions.ext_database import db from models.account import Account from models.model import App, Conversation, EndUser, Message @@ -46,7 +46,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): args: dict, invoke_from: InvokeFrom, stream: bool = True, - ) -> Union[dict, Generator[dict, None, None]]: + ): """ Generate App response. @@ -73,8 +73,9 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): # get conversation conversation = None - if args.get('conversation_id'): - conversation = self._get_conversation_by_user(app_model, args.get('conversation_id'), user) + conversation_id = args.get('conversation_id') + if conversation_id: + conversation = self._get_conversation_by_user(app_model=app_model, conversation_id=conversation_id, user=user) # parse files files = args['files'] if args.get('files') else [] @@ -133,8 +134,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): node_id: str, user: Account, args: dict, - stream: bool = True) \ - -> Union[dict, Generator[dict, None, None]]: + stream: bool = True): """ Generate App response. @@ -157,8 +157,9 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): # get conversation conversation = None - if args.get('conversation_id'): - conversation = self._get_conversation_by_user(app_model, args.get('conversation_id'), user) + conversation_id = args.get('conversation_id') + if conversation_id: + conversation = self._get_conversation_by_user(app_model=app_model, conversation_id=conversation_id, user=user) # convert to app config app_config = AdvancedChatAppConfigManager.get_app_config( @@ -200,8 +201,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): invoke_from: InvokeFrom, application_generate_entity: AdvancedChatAppGenerateEntity, conversation: Conversation | None = None, - stream: bool = True) \ - -> Union[dict, Generator[dict, None, None]]: + stream: bool = True): is_first_conversation = False if not conversation: is_first_conversation = True @@ -270,11 +270,11 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): # Create a variable pool. system_inputs = { - SystemVariable.QUERY: query, - SystemVariable.FILES: files, - SystemVariable.CONVERSATION_ID: conversation_id, - SystemVariable.USER_ID: user_id, - SystemVariable.DIALOGUE_COUNT: conversation_dialogue_count, + SystemVariableKey.QUERY: query, + SystemVariableKey.FILES: files, + SystemVariableKey.CONVERSATION_ID: conversation_id, + SystemVariableKey.USER_ID: user_id, + SystemVariableKey.DIALOGUE_COUNT: conversation_dialogue_count, } variable_pool = VariablePool( system_variables=system_inputs, @@ -362,7 +362,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): logger.exception("Validation Error when generating") queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER) except (ValueError, InvokeError) as e: - if os.environ.get("DEBUG") and os.environ.get("DEBUG").lower() == 'true': + if os.environ.get("DEBUG", "false").lower() == 'true': logger.exception("Error when generating") queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER) except Exception as e: diff --git a/api/core/app/apps/advanced_chat/generate_task_pipeline.py b/api/core/app/apps/advanced_chat/generate_task_pipeline.py index ac51a4e840..2b3596ded2 100644 --- a/api/core/app/apps/advanced_chat/generate_task_pipeline.py +++ b/api/core/app/apps/advanced_chat/generate_task_pipeline.py @@ -49,7 +49,7 @@ from core.model_runtime.entities.llm_entities import LLMUsage from core.model_runtime.utils.encoders import jsonable_encoder from core.ops.ops_trace_manager import TraceQueueManager from core.workflow.entities.node_entities import NodeType -from core.workflow.enums import SystemVariable +from core.workflow.enums import SystemVariableKey from core.workflow.nodes.answer.answer_node import AnswerNode from core.workflow.nodes.answer.entities import TextGenerateRouteChunk, VarGenerateRouteChunk from events.message_event import message_was_created @@ -74,7 +74,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc _workflow: Workflow _user: Union[Account, EndUser] # Deprecated - _workflow_system_variables: dict[SystemVariable, Any] + _workflow_system_variables: dict[SystemVariableKey, Any] _iteration_nested_relations: dict[str, list[str]] def __init__( @@ -108,10 +108,10 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc self._message = message # Deprecated self._workflow_system_variables = { - SystemVariable.QUERY: message.query, - SystemVariable.FILES: application_generate_entity.files, - SystemVariable.CONVERSATION_ID: conversation.id, - SystemVariable.USER_ID: user_id, + SystemVariableKey.QUERY: message.query, + SystemVariableKey.FILES: application_generate_entity.files, + SystemVariableKey.CONVERSATION_ID: conversation.id, + SystemVariableKey.USER_ID: user_id, } self._task_state = AdvancedChatTaskState( diff --git a/api/core/app/apps/workflow/app_runner.py b/api/core/app/apps/workflow/app_runner.py index 994919391e..e388d0184b 100644 --- a/api/core/app/apps/workflow/app_runner.py +++ b/api/core/app/apps/workflow/app_runner.py @@ -12,7 +12,7 @@ from core.app.entities.app_invoke_entities import ( ) from core.workflow.callbacks.base_workflow_callback import WorkflowCallback from core.workflow.entities.variable_pool import VariablePool -from core.workflow.enums import SystemVariable +from core.workflow.enums import SystemVariableKey from core.workflow.nodes.base_node import UserFrom from core.workflow.workflow_engine_manager import WorkflowEngineManager from extensions.ext_database import db @@ -67,8 +67,8 @@ class WorkflowAppRunner: # Create a variable pool. system_inputs = { - SystemVariable.FILES: files, - SystemVariable.USER_ID: user_id, + SystemVariableKey.FILES: files, + SystemVariableKey.USER_ID: user_id, } variable_pool = VariablePool( system_variables=system_inputs, diff --git a/api/core/app/apps/workflow/generate_task_pipeline.py b/api/core/app/apps/workflow/generate_task_pipeline.py index 5022eb0438..de8542d7b9 100644 --- a/api/core/app/apps/workflow/generate_task_pipeline.py +++ b/api/core/app/apps/workflow/generate_task_pipeline.py @@ -43,7 +43,7 @@ from core.app.task_pipeline.based_generate_task_pipeline import BasedGenerateTas from core.app.task_pipeline.workflow_cycle_manage import WorkflowCycleManage from core.ops.ops_trace_manager import TraceQueueManager from core.workflow.entities.node_entities import NodeType -from core.workflow.enums import SystemVariable +from core.workflow.enums import SystemVariableKey from core.workflow.nodes.end.end_node import EndNode from extensions.ext_database import db from models.account import Account @@ -67,7 +67,7 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa _user: Union[Account, EndUser] _task_state: WorkflowTaskState _application_generate_entity: WorkflowAppGenerateEntity - _workflow_system_variables: dict[SystemVariable, Any] + _workflow_system_variables: dict[SystemVariableKey, Any] _iteration_nested_relations: dict[str, list[str]] def __init__(self, application_generate_entity: WorkflowAppGenerateEntity, @@ -92,8 +92,8 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa self._workflow = workflow self._workflow_system_variables = { - SystemVariable.FILES: application_generate_entity.files, - SystemVariable.USER_ID: user_id + SystemVariableKey.FILES: application_generate_entity.files, + SystemVariableKey.USER_ID: user_id } self._task_state = WorkflowTaskState( diff --git a/api/core/app/task_pipeline/workflow_cycle_state_manager.py b/api/core/app/task_pipeline/workflow_cycle_state_manager.py index 8baa8ba09e..bd98c82720 100644 --- a/api/core/app/task_pipeline/workflow_cycle_state_manager.py +++ b/api/core/app/task_pipeline/workflow_cycle_state_manager.py @@ -2,7 +2,7 @@ from typing import Any, Union from core.app.entities.app_invoke_entities import AdvancedChatAppGenerateEntity, WorkflowAppGenerateEntity from core.app.entities.task_entities import AdvancedChatTaskState, WorkflowTaskState -from core.workflow.enums import SystemVariable +from core.workflow.enums import SystemVariableKey from models.account import Account from models.model import EndUser from models.workflow import Workflow @@ -13,4 +13,4 @@ class WorkflowCycleStateManager: _workflow: Workflow _user: Union[Account, EndUser] _task_state: Union[AdvancedChatTaskState, WorkflowTaskState] - _workflow_system_variables: dict[SystemVariable, Any] + _workflow_system_variables: dict[SystemVariableKey, Any] diff --git a/api/core/workflow/entities/variable_pool.py b/api/core/workflow/entities/variable_pool.py index 9fe3356faa..8120b2ac78 100644 --- a/api/core/workflow/entities/variable_pool.py +++ b/api/core/workflow/entities/variable_pool.py @@ -6,20 +6,20 @@ from typing_extensions import deprecated from core.app.segments import Segment, Variable, factory from core.file.file_obj import FileVar -from core.workflow.enums import SystemVariable +from core.workflow.enums import SystemVariableKey VariableValue = Union[str, int, float, dict, list, FileVar] -SYSTEM_VARIABLE_NODE_ID = 'sys' -ENVIRONMENT_VARIABLE_NODE_ID = 'env' -CONVERSATION_VARIABLE_NODE_ID = 'conversation' +SYSTEM_VARIABLE_NODE_ID = "sys" +ENVIRONMENT_VARIABLE_NODE_ID = "env" +CONVERSATION_VARIABLE_NODE_ID = "conversation" class VariablePool: def __init__( self, - system_variables: Mapping[SystemVariable, Any], + system_variables: Mapping[SystemVariableKey, Any], user_inputs: Mapping[str, Any], environment_variables: Sequence[Variable], conversation_variables: Sequence[Variable] | None = None, @@ -68,7 +68,7 @@ class VariablePool: None """ if len(selector) < 2: - raise ValueError('Invalid selector') + raise ValueError("Invalid selector") if value is None: return @@ -95,13 +95,13 @@ class VariablePool: ValueError: If the selector is invalid. """ if len(selector) < 2: - raise ValueError('Invalid selector') + raise ValueError("Invalid selector") hash_key = hash(tuple(selector[1:])) value = self._variable_dictionary[selector[0]].get(hash_key) return value - @deprecated('This method is deprecated, use `get` instead.') + @deprecated("This method is deprecated, use `get` instead.") def get_any(self, selector: Sequence[str], /) -> Any | None: """ Retrieves the value from the variable pool based on the given selector. @@ -116,7 +116,7 @@ class VariablePool: ValueError: If the selector is invalid. """ if len(selector) < 2: - raise ValueError('Invalid selector') + raise ValueError("Invalid selector") hash_key = hash(tuple(selector[1:])) value = self._variable_dictionary[selector[0]].get(hash_key) return value.to_object() if value else None diff --git a/api/core/workflow/enums.py b/api/core/workflow/enums.py index 4757cf32f8..da65f6b1fb 100644 --- a/api/core/workflow/enums.py +++ b/api/core/workflow/enums.py @@ -1,25 +1,13 @@ from enum import Enum -class SystemVariable(str, Enum): +class SystemVariableKey(str, Enum): """ System Variables. """ - QUERY = 'query' - FILES = 'files' - CONVERSATION_ID = 'conversation_id' - USER_ID = 'user_id' - DIALOGUE_COUNT = 'dialogue_count' - @classmethod - def value_of(cls, value: str): - """ - Get value of given system variable. - - :param value: system variable value - :return: system variable - """ - for system_variable in cls: - if system_variable.value == value: - return system_variable - raise ValueError(f'invalid system variable value {value}') + QUERY = "query" + FILES = "files" + CONVERSATION_ID = "conversation_id" + USER_ID = "user_id" + DIALOGUE_COUNT = "dialogue_count" diff --git a/api/core/workflow/nodes/llm/llm_node.py b/api/core/workflow/nodes/llm/llm_node.py index c20e0d4506..c3e4949421 100644 --- a/api/core/workflow/nodes/llm/llm_node.py +++ b/api/core/workflow/nodes/llm/llm_node.py @@ -24,7 +24,7 @@ from core.prompt.entities.advanced_prompt_entities import CompletionModelPromptT from core.prompt.utils.prompt_message_util import PromptMessageUtil from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult, NodeType from core.workflow.entities.variable_pool import VariablePool -from core.workflow.enums import SystemVariable +from core.workflow.enums import SystemVariableKey from core.workflow.nodes.base_node import BaseNode from core.workflow.nodes.llm.entities import ( LLMNodeChatModelMessage, @@ -94,7 +94,7 @@ class LLMNode(BaseNode): # fetch prompt messages prompt_messages, stop = self._fetch_prompt_messages( node_data=node_data, - query=variable_pool.get_any(['sys', SystemVariable.QUERY.value]) + query=variable_pool.get_any(['sys', SystemVariableKey.QUERY.value]) if node_data.memory else None, query_prompt_template=node_data.memory.query_prompt_template if node_data.memory else None, inputs=inputs, @@ -335,7 +335,7 @@ class LLMNode(BaseNode): if not node_data.vision.enabled: return [] - files = variable_pool.get_any(['sys', SystemVariable.FILES.value]) + files = variable_pool.get_any(['sys', SystemVariableKey.FILES.value]) if not files: return [] @@ -500,7 +500,7 @@ class LLMNode(BaseNode): return None # get conversation id - conversation_id = variable_pool.get_any(['sys', SystemVariable.CONVERSATION_ID.value]) + conversation_id = variable_pool.get_any(['sys', SystemVariableKey.CONVERSATION_ID.value]) if conversation_id is None: return None @@ -672,10 +672,10 @@ class LLMNode(BaseNode): variable_mapping['#context#'] = node_data.context.variable_selector if node_data.vision.enabled: - variable_mapping['#files#'] = ['sys', SystemVariable.FILES.value] + variable_mapping['#files#'] = ['sys', SystemVariableKey.FILES.value] if node_data.memory: - variable_mapping['#sys.query#'] = ['sys', SystemVariable.QUERY.value] + variable_mapping['#sys.query#'] = ['sys', SystemVariableKey.QUERY.value] if node_data.prompt_config: enable_jinja = False diff --git a/api/core/workflow/nodes/start/start_node.py b/api/core/workflow/nodes/start/start_node.py index 661b403d32..54e66bd671 100644 --- a/api/core/workflow/nodes/start/start_node.py +++ b/api/core/workflow/nodes/start/start_node.py @@ -1,7 +1,7 @@ from core.workflow.entities.base_node_data_entities import BaseNodeData from core.workflow.entities.node_entities import NodeRunResult, NodeType -from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.variable_pool import SYSTEM_VARIABLE_NODE_ID, VariablePool from core.workflow.nodes.base_node import BaseNode from core.workflow.nodes.start.entities import StartNodeData from models.workflow import WorkflowNodeExecutionStatus @@ -17,16 +17,16 @@ class StartNode(BaseNode): :param variable_pool: variable pool :return: """ - # Get cleaned inputs - cleaned_inputs = dict(variable_pool.user_inputs) + node_inputs = dict(variable_pool.user_inputs) + system_inputs = variable_pool.system_variables - for var in variable_pool.system_variables: - cleaned_inputs['sys.' + var.value] = variable_pool.system_variables[var] + for var in system_inputs: + node_inputs[SYSTEM_VARIABLE_NODE_ID + '.' + var] = system_inputs[var] return NodeRunResult( status=WorkflowNodeExecutionStatus.SUCCEEDED, - inputs=cleaned_inputs, - outputs=cleaned_inputs + inputs=node_inputs, + outputs=node_inputs ) @classmethod diff --git a/api/core/workflow/nodes/tool/tool_node.py b/api/core/workflow/nodes/tool/tool_node.py index 554e3b6074..9b52cd2f6b 100644 --- a/api/core/workflow/nodes/tool/tool_node.py +++ b/api/core/workflow/nodes/tool/tool_node.py @@ -11,7 +11,7 @@ from core.tools.tool_manager import ToolManager from core.tools.utils.message_transformer import ToolFileMessageTransformer from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult, NodeType from core.workflow.entities.variable_pool import VariablePool -from core.workflow.enums import SystemVariable +from core.workflow.enums import SystemVariableKey from core.workflow.nodes.base_node import BaseNode from core.workflow.nodes.tool.entities import ToolNodeData from core.workflow.utils.variable_template_parser import VariableTemplateParser @@ -141,7 +141,7 @@ class ToolNode(BaseNode): return result def _fetch_files(self, variable_pool: VariablePool) -> list[FileVar]: - variable = variable_pool.get(['sys', SystemVariable.FILES.value]) + variable = variable_pool.get(['sys', SystemVariableKey.FILES.value]) assert isinstance(variable, ArrayAnyVariable) return list(variable.value) if variable else [] diff --git a/api/tests/integration_tests/workflow/nodes/test_llm.py b/api/tests/integration_tests/workflow/nodes/test_llm.py index 4686ce0675..1b27af5af7 100644 --- a/api/tests/integration_tests/workflow/nodes/test_llm.py +++ b/api/tests/integration_tests/workflow/nodes/test_llm.py @@ -11,7 +11,7 @@ from core.model_manager import ModelInstance from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.model_providers import ModelProviderFactory from core.workflow.entities.variable_pool import VariablePool -from core.workflow.enums import SystemVariable +from core.workflow.enums import SystemVariableKey from core.workflow.nodes.base_node import UserFrom from core.workflow.nodes.llm.llm_node import LLMNode from extensions.ext_database import db @@ -66,10 +66,10 @@ def test_execute_llm(setup_openai_mock): # construct variable pool pool = VariablePool(system_variables={ - SystemVariable.QUERY: 'what\'s the weather today?', - SystemVariable.FILES: [], - SystemVariable.CONVERSATION_ID: 'abababa', - SystemVariable.USER_ID: 'aaa' + SystemVariableKey.QUERY: 'what\'s the weather today?', + SystemVariableKey.FILES: [], + SystemVariableKey.CONVERSATION_ID: 'abababa', + SystemVariableKey.USER_ID: 'aaa' }, user_inputs={}, environment_variables=[]) pool.add(['abc', 'output'], 'sunny') @@ -181,10 +181,10 @@ def test_execute_llm_with_jinja2(setup_code_executor_mock, setup_openai_mock): # construct variable pool pool = VariablePool(system_variables={ - SystemVariable.QUERY: 'what\'s the weather today?', - SystemVariable.FILES: [], - SystemVariable.CONVERSATION_ID: 'abababa', - SystemVariable.USER_ID: 'aaa' + SystemVariableKey.QUERY: 'what\'s the weather today?', + SystemVariableKey.FILES: [], + SystemVariableKey.CONVERSATION_ID: 'abababa', + SystemVariableKey.USER_ID: 'aaa' }, user_inputs={}, environment_variables=[]) pool.add(['abc', 'output'], 'sunny') diff --git a/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py b/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py index adf5ffe3ca..e32fa59df3 100644 --- a/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py +++ b/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py @@ -13,7 +13,7 @@ from core.model_manager import ModelInstance from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory from core.workflow.entities.variable_pool import VariablePool -from core.workflow.enums import SystemVariable +from core.workflow.enums import SystemVariableKey from core.workflow.nodes.base_node import UserFrom from core.workflow.nodes.parameter_extractor.parameter_extractor_node import ParameterExtractorNode from extensions.ext_database import db @@ -119,10 +119,10 @@ def test_function_calling_parameter_extractor(setup_openai_mock): # construct variable pool pool = VariablePool(system_variables={ - SystemVariable.QUERY: 'what\'s the weather in SF', - SystemVariable.FILES: [], - SystemVariable.CONVERSATION_ID: 'abababa', - SystemVariable.USER_ID: 'aaa' + SystemVariableKey.QUERY: 'what\'s the weather in SF', + SystemVariableKey.FILES: [], + SystemVariableKey.CONVERSATION_ID: 'abababa', + SystemVariableKey.USER_ID: 'aaa' }, user_inputs={}, environment_variables=[]) result = node.run(pool) @@ -177,10 +177,10 @@ def test_instructions(setup_openai_mock): # construct variable pool pool = VariablePool(system_variables={ - SystemVariable.QUERY: 'what\'s the weather in SF', - SystemVariable.FILES: [], - SystemVariable.CONVERSATION_ID: 'abababa', - SystemVariable.USER_ID: 'aaa' + SystemVariableKey.QUERY: 'what\'s the weather in SF', + SystemVariableKey.FILES: [], + SystemVariableKey.CONVERSATION_ID: 'abababa', + SystemVariableKey.USER_ID: 'aaa' }, user_inputs={}, environment_variables=[]) result = node.run(pool) @@ -243,10 +243,10 @@ def test_chat_parameter_extractor(setup_anthropic_mock): # construct variable pool pool = VariablePool(system_variables={ - SystemVariable.QUERY: 'what\'s the weather in SF', - SystemVariable.FILES: [], - SystemVariable.CONVERSATION_ID: 'abababa', - SystemVariable.USER_ID: 'aaa' + SystemVariableKey.QUERY: 'what\'s the weather in SF', + SystemVariableKey.FILES: [], + SystemVariableKey.CONVERSATION_ID: 'abababa', + SystemVariableKey.USER_ID: 'aaa' }, user_inputs={}, environment_variables=[]) result = node.run(pool) @@ -307,10 +307,10 @@ def test_completion_parameter_extractor(setup_openai_mock): # construct variable pool pool = VariablePool(system_variables={ - SystemVariable.QUERY: 'what\'s the weather in SF', - SystemVariable.FILES: [], - SystemVariable.CONVERSATION_ID: 'abababa', - SystemVariable.USER_ID: 'aaa' + SystemVariableKey.QUERY: 'what\'s the weather in SF', + SystemVariableKey.FILES: [], + SystemVariableKey.CONVERSATION_ID: 'abababa', + SystemVariableKey.USER_ID: 'aaa' }, user_inputs={}, environment_variables=[]) result = node.run(pool) @@ -420,10 +420,10 @@ def test_chat_parameter_extractor_with_memory(setup_anthropic_mock): # construct variable pool pool = VariablePool(system_variables={ - SystemVariable.QUERY: 'what\'s the weather in SF', - SystemVariable.FILES: [], - SystemVariable.CONVERSATION_ID: 'abababa', - SystemVariable.USER_ID: 'aaa' + SystemVariableKey.QUERY: 'what\'s the weather in SF', + SystemVariableKey.FILES: [], + SystemVariableKey.CONVERSATION_ID: 'abababa', + SystemVariableKey.USER_ID: 'aaa' }, user_inputs={}, environment_variables=[]) result = node.run(pool) diff --git a/api/tests/unit_tests/core/app/segments/test_segment.py b/api/tests/unit_tests/core/app/segments/test_segment.py index 7e3e69ffbf..50d991316d 100644 --- a/api/tests/unit_tests/core/app/segments/test_segment.py +++ b/api/tests/unit_tests/core/app/segments/test_segment.py @@ -1,13 +1,13 @@ from core.app.segments import SecretVariable, StringSegment, parser from core.helper import encrypter from core.workflow.entities.variable_pool import VariablePool -from core.workflow.enums import SystemVariable +from core.workflow.enums import SystemVariableKey def test_segment_group_to_text(): variable_pool = VariablePool( system_variables={ - SystemVariable('user_id'): 'fake-user-id', + SystemVariableKey('user_id'): 'fake-user-id', }, user_inputs={}, environment_variables=[ @@ -42,7 +42,7 @@ def test_convert_constant_to_segment_group(): def test_convert_variable_to_segment_group(): variable_pool = VariablePool( system_variables={ - SystemVariable('user_id'): 'fake-user-id', + SystemVariableKey('user_id'): 'fake-user-id', }, user_inputs={}, environment_variables=[], diff --git a/api/tests/unit_tests/core/workflow/nodes/test_answer.py b/api/tests/unit_tests/core/workflow/nodes/test_answer.py index 4617b6a42f..44b7c85256 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_answer.py +++ b/api/tests/unit_tests/core/workflow/nodes/test_answer.py @@ -2,7 +2,7 @@ from unittest.mock import MagicMock from core.app.entities.app_invoke_entities import InvokeFrom from core.workflow.entities.variable_pool import VariablePool -from core.workflow.enums import SystemVariable +from core.workflow.enums import SystemVariableKey from core.workflow.nodes.answer.answer_node import AnswerNode from core.workflow.nodes.base_node import UserFrom from extensions.ext_database import db @@ -29,8 +29,8 @@ def test_execute_answer(): # construct variable pool pool = VariablePool(system_variables={ - SystemVariable.FILES: [], - SystemVariable.USER_ID: 'aaa' + SystemVariableKey.FILES: [], + SystemVariableKey.USER_ID: 'aaa' }, user_inputs={}, environment_variables=[]) pool.add(['start', 'weather'], 'sunny') pool.add(['llm', 'text'], 'You are a helpful AI.') diff --git a/api/tests/unit_tests/core/workflow/nodes/test_if_else.py b/api/tests/unit_tests/core/workflow/nodes/test_if_else.py index d21b7785c4..87ebcb34e6 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_if_else.py +++ b/api/tests/unit_tests/core/workflow/nodes/test_if_else.py @@ -2,7 +2,7 @@ from unittest.mock import MagicMock from core.app.entities.app_invoke_entities import InvokeFrom from core.workflow.entities.variable_pool import VariablePool -from core.workflow.enums import SystemVariable +from core.workflow.enums import SystemVariableKey from core.workflow.nodes.base_node import UserFrom from core.workflow.nodes.if_else.if_else_node import IfElseNode from extensions.ext_database import db @@ -119,8 +119,8 @@ def test_execute_if_else_result_true(): # construct variable pool pool = VariablePool(system_variables={ - SystemVariable.FILES: [], - SystemVariable.USER_ID: 'aaa' + SystemVariableKey.FILES: [], + SystemVariableKey.USER_ID: 'aaa' }, user_inputs={}, environment_variables=[]) pool.add(['start', 'array_contains'], ['ab', 'def']) pool.add(['start', 'array_not_contains'], ['ac', 'def']) @@ -182,8 +182,8 @@ def test_execute_if_else_result_false(): # construct variable pool pool = VariablePool(system_variables={ - SystemVariable.FILES: [], - SystemVariable.USER_ID: 'aaa' + SystemVariableKey.FILES: [], + SystemVariableKey.USER_ID: 'aaa' }, user_inputs={}, environment_variables=[]) pool.add(['start', 'array_contains'], ['1ab', 'def']) pool.add(['start', 'array_not_contains'], ['ab', 'def']) diff --git a/api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py b/api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py index 78b3cf1415..5df8c1b763 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py +++ b/api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py @@ -4,7 +4,7 @@ from uuid import uuid4 from core.app.entities.app_invoke_entities import InvokeFrom from core.app.segments import ArrayStringVariable, StringVariable from core.workflow.entities.variable_pool import VariablePool -from core.workflow.enums import SystemVariable +from core.workflow.enums import SystemVariableKey from core.workflow.nodes.base_node import UserFrom from core.workflow.nodes.variable_assigner import VariableAssignerNode, WriteMode @@ -42,7 +42,7 @@ def test_overwrite_string_variable(): ) variable_pool = VariablePool( - system_variables={SystemVariable.CONVERSATION_ID: 'conversation_id'}, + system_variables={SystemVariableKey.CONVERSATION_ID: 'conversation_id'}, user_inputs={}, environment_variables=[], conversation_variables=[conversation_variable], @@ -93,7 +93,7 @@ def test_append_variable_to_array(): ) variable_pool = VariablePool( - system_variables={SystemVariable.CONVERSATION_ID: 'conversation_id'}, + system_variables={SystemVariableKey.CONVERSATION_ID: 'conversation_id'}, user_inputs={}, environment_variables=[], conversation_variables=[conversation_variable], @@ -137,7 +137,7 @@ def test_clear_array(): ) variable_pool = VariablePool( - system_variables={SystemVariable.CONVERSATION_ID: 'conversation_id'}, + system_variables={SystemVariableKey.CONVERSATION_ID: 'conversation_id'}, user_inputs={}, environment_variables=[], conversation_variables=[conversation_variable], From eae53e11e644f6f739b5890488b0b93d5f4913ad Mon Sep 17 00:00:00 2001 From: -LAN- Date: Tue, 20 Aug 2024 17:52:21 +0800 Subject: [PATCH 009/164] refactor(api/models/workflow.py): Add `__init__` to Workflow (#7443) --- api/models/workflow.py | 40 +++++++++++++------- api/tests/unit_tests/models/test_workflow.py | 38 ++++++++++++++++--- 2 files changed, 60 insertions(+), 18 deletions(-) diff --git a/api/models/workflow.py b/api/models/workflow.py index 396c023dc1..cdd5e1992d 100644 --- a/api/models/workflow.py +++ b/api/models/workflow.py @@ -1,5 +1,6 @@ import json from collections.abc import Mapping, Sequence +from datetime import datetime from enum import Enum from typing import Any, Optional, Union @@ -110,19 +111,32 @@ class Workflow(db.Model): db.Index('workflow_version_idx', 'tenant_id', 'app_id', 'version'), ) - id = db.Column(StringUUID, server_default=db.text('uuid_generate_v4()')) - tenant_id = db.Column(StringUUID, nullable=False) - app_id = db.Column(StringUUID, nullable=False) - type = db.Column(db.String(255), nullable=False) - version = db.Column(db.String(255), nullable=False) - graph = db.Column(db.Text) - features = db.Column(db.Text) - created_by = db.Column(StringUUID, nullable=False) - created_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)')) - updated_by = db.Column(StringUUID) - updated_at = db.Column(db.DateTime) - _environment_variables = db.Column('environment_variables', db.Text, nullable=False, server_default='{}') - _conversation_variables = db.Column('conversation_variables', db.Text, nullable=False, server_default='{}') + id: Mapped[str] = db.Column(StringUUID, server_default=db.text('uuid_generate_v4()')) + tenant_id: Mapped[str] = db.Column(StringUUID, nullable=False) + app_id: Mapped[str] = db.Column(StringUUID, nullable=False) + type: Mapped[str] = db.Column(db.String(255), nullable=False) + version: Mapped[str] = db.Column(db.String(255), nullable=False) + graph: Mapped[str] = db.Column(db.Text) + features: Mapped[str] = db.Column(db.Text) + created_by: Mapped[str] = db.Column(StringUUID, nullable=False) + created_at: Mapped[datetime] = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)')) + updated_by: Mapped[str] = db.Column(StringUUID) + updated_at: Mapped[datetime] = db.Column(db.DateTime) + _environment_variables: Mapped[str] = db.Column('environment_variables', db.Text, nullable=False, server_default='{}') + _conversation_variables: Mapped[str] = db.Column('conversation_variables', db.Text, nullable=False, server_default='{}') + + def __init__(self, *, tenant_id: str, app_id: str, type: str, version: str, graph: str, + features: str, created_by: str, environment_variables: Sequence[Variable], + conversation_variables: Sequence[Variable]): + self.tenant_id = tenant_id + self.app_id = app_id + self.type = type + self.version = version + self.graph = graph + self.features = features + self.created_by = created_by + self.environment_variables = environment_variables or [] + self.conversation_variables = conversation_variables or [] @property def created_by_account(self): diff --git a/api/tests/unit_tests/models/test_workflow.py b/api/tests/unit_tests/models/test_workflow.py index facea34b5b..bea896b83a 100644 --- a/api/tests/unit_tests/models/test_workflow.py +++ b/api/tests/unit_tests/models/test_workflow.py @@ -11,7 +11,17 @@ def test_environment_variables(): contexts.tenant_id.set('tenant_id') # Create a Workflow instance - workflow = Workflow() + workflow = Workflow( + tenant_id='tenant_id', + app_id='app_id', + type='workflow', + version='draft', + graph='{}', + features='{}', + created_by='account_id', + environment_variables=[], + conversation_variables=[], + ) # Create some EnvironmentVariable instances variable1 = StringVariable.model_validate({'name': 'var1', 'value': 'value1', 'id': str(uuid4())}) @@ -35,7 +45,17 @@ def test_update_environment_variables(): contexts.tenant_id.set('tenant_id') # Create a Workflow instance - workflow = Workflow() + workflow = Workflow( + tenant_id='tenant_id', + app_id='app_id', + type='workflow', + version='draft', + graph='{}', + features='{}', + created_by='account_id', + environment_variables=[], + conversation_variables=[], + ) # Create some EnvironmentVariable instances variable1 = StringVariable.model_validate({'name': 'var1', 'value': 'value1', 'id': str(uuid4())}) @@ -70,9 +90,17 @@ def test_to_dict(): contexts.tenant_id.set('tenant_id') # Create a Workflow instance - workflow = Workflow() - workflow.graph = '{}' - workflow.features = '{}' + workflow = Workflow( + tenant_id='tenant_id', + app_id='app_id', + type='workflow', + version='draft', + graph='{}', + features='{}', + created_by='account_id', + environment_variables=[], + conversation_variables=[], + ) # Create some EnvironmentVariable instances From e35e25186356e04b16d861079cf9a335a3aa2735 Mon Sep 17 00:00:00 2001 From: KinWang <33823007+KinWang130@users.noreply.github.com> Date: Tue, 20 Aug 2024 17:55:44 +0800 Subject: [PATCH 010/164] feat: Sort conversations by updated_at desc (#7348) Co-authored-by: wangpj Co-authored-by: JzoNg Co-authored-by: -LAN- --- api/controllers/console/app/conversation.py | 14 ++- .../service_api/app/conversation.py | 5 +- api/controllers/web/conversation.py | 3 + .../app/apps/message_based_app_generator.py | 26 +++--- api/fields/conversation_fields.py | 1 + api/services/conversation_service.py | 58 ++++++++---- api/services/web_conversation_service.py | 4 +- web/app/components/app/log/filter.tsx | 24 ++++- web/app/components/app/log/index.tsx | 16 +++- web/app/components/app/log/list.tsx | 10 +- web/app/components/base/sort/index.tsx | 92 +++++++++++++++++++ web/i18n/de-DE/app-log.ts | 3 +- web/i18n/en-US/app-log.ts | 6 +- web/i18n/es-ES/app-log.ts | 3 +- web/i18n/ja-JP/app-log.ts | 6 +- web/i18n/zh-Hans/app-log.ts | 6 +- web/models/log.ts | 1 + 17 files changed, 227 insertions(+), 51 deletions(-) create mode 100644 web/app/components/base/sort/index.tsx diff --git a/api/controllers/console/app/conversation.py b/api/controllers/console/app/conversation.py index eb61c83d46..995264541f 100644 --- a/api/controllers/console/app/conversation.py +++ b/api/controllers/console/app/conversation.py @@ -154,6 +154,8 @@ class ChatConversationApi(Resource): parser.add_argument('message_count_gte', type=int_range(1, 99999), required=False, location='args') parser.add_argument('page', type=int_range(1, 99999), required=False, default=1, location='args') parser.add_argument('limit', type=int_range(1, 100), required=False, default=20, location='args') + parser.add_argument('sort_by', type=str, choices=['created_at', '-created_at', 'updated_at', '-updated_at'], + required=False, default='-updated_at', location='args') args = parser.parse_args() subquery = ( @@ -225,7 +227,17 @@ class ChatConversationApi(Resource): if app_model.mode == AppMode.ADVANCED_CHAT.value: query = query.where(Conversation.invoke_from != InvokeFrom.DEBUGGER.value) - query = query.order_by(Conversation.created_at.desc()) + match args['sort_by']: + case 'created_at': + query = query.order_by(Conversation.created_at.asc()) + case '-created_at': + query = query.order_by(Conversation.created_at.desc()) + case 'updated_at': + query = query.order_by(Conversation.updated_at.asc()) + case '-updated_at': + query = query.order_by(Conversation.updated_at.desc()) + case _: + query = query.order_by(Conversation.created_at.desc()) conversations = db.paginate( query, diff --git a/api/controllers/service_api/app/conversation.py b/api/controllers/service_api/app/conversation.py index 44bda8e771..4598a14611 100644 --- a/api/controllers/service_api/app/conversation.py +++ b/api/controllers/service_api/app/conversation.py @@ -25,6 +25,8 @@ class ConversationApi(Resource): parser = reqparse.RequestParser() parser.add_argument('last_id', type=uuid_value, location='args') parser.add_argument('limit', type=int_range(1, 100), required=False, default=20, location='args') + parser.add_argument('sort_by', type=str, choices=['created_at', '-created_at', 'updated_at', '-updated_at'], + required=False, default='-updated_at', location='args') args = parser.parse_args() try: @@ -33,7 +35,8 @@ class ConversationApi(Resource): user=end_user, last_id=args['last_id'], limit=args['limit'], - invoke_from=InvokeFrom.SERVICE_API + invoke_from=InvokeFrom.SERVICE_API, + sort_by=args['sort_by'] ) except services.errors.conversation.LastConversationNotExistsError: raise NotFound("Last Conversation Not Exists.") diff --git a/api/controllers/web/conversation.py b/api/controllers/web/conversation.py index b83ea3a525..334ee382a2 100644 --- a/api/controllers/web/conversation.py +++ b/api/controllers/web/conversation.py @@ -26,6 +26,8 @@ class ConversationListApi(WebApiResource): parser.add_argument('last_id', type=uuid_value, location='args') parser.add_argument('limit', type=int_range(1, 100), required=False, default=20, location='args') parser.add_argument('pinned', type=str, choices=['true', 'false', None], location='args') + parser.add_argument('sort_by', type=str, choices=['created_at', '-created_at', 'updated_at', '-updated_at'], + required=False, default='-updated_at', location='args') args = parser.parse_args() pinned = None @@ -40,6 +42,7 @@ class ConversationListApi(WebApiResource): limit=args['limit'], invoke_from=InvokeFrom.WEB_APP, pinned=pinned, + sort_by=args['sort_by'] ) except LastConversationNotExistsError: raise NotFound("Last Conversation Not Exists.") diff --git a/api/core/app/apps/message_based_app_generator.py b/api/core/app/apps/message_based_app_generator.py index 49ef7b7b40..fceed95b91 100644 --- a/api/core/app/apps/message_based_app_generator.py +++ b/api/core/app/apps/message_based_app_generator.py @@ -1,6 +1,7 @@ import json import logging from collections.abc import Generator +from datetime import datetime, timezone from typing import Optional, Union from sqlalchemy import and_ @@ -36,17 +37,17 @@ logger = logging.getLogger(__name__) class MessageBasedAppGenerator(BaseAppGenerator): def _handle_response( - self, application_generate_entity: Union[ - ChatAppGenerateEntity, - CompletionAppGenerateEntity, - AgentChatAppGenerateEntity, - AdvancedChatAppGenerateEntity - ], - queue_manager: AppQueueManager, - conversation: Conversation, - message: Message, - user: Union[Account, EndUser], - stream: bool = False, + self, application_generate_entity: Union[ + ChatAppGenerateEntity, + CompletionAppGenerateEntity, + AgentChatAppGenerateEntity, + AdvancedChatAppGenerateEntity + ], + queue_manager: AppQueueManager, + conversation: Conversation, + message: Message, + user: Union[Account, EndUser], + stream: bool = False, ) -> Union[ ChatbotAppBlockingResponse, CompletionAppBlockingResponse, @@ -193,6 +194,9 @@ class MessageBasedAppGenerator(BaseAppGenerator): db.session.add(conversation) db.session.commit() db.session.refresh(conversation) + else: + conversation.updated_at = datetime.now(timezone.utc).replace(tzinfo=None) + db.session.commit() message = Message( app_id=app_config.app_id, diff --git a/api/fields/conversation_fields.py b/api/fields/conversation_fields.py index 1b15fe3880..3a64801e18 100644 --- a/api/fields/conversation_fields.py +++ b/api/fields/conversation_fields.py @@ -150,6 +150,7 @@ conversation_with_summary_fields = { "summary": fields.String(attribute="summary_or_query"), "read_at": TimestampField, "created_at": TimestampField, + "updated_at": TimestampField, "annotated": fields.Boolean, "model_config": fields.Nested(simple_model_config_fields), "message_count": fields.Integer, diff --git a/api/services/conversation_service.py b/api/services/conversation_service.py index 82ee10ee78..053d704e17 100644 --- a/api/services/conversation_service.py +++ b/api/services/conversation_service.py @@ -1,6 +1,7 @@ +from datetime import datetime, timezone from typing import Optional, Union -from sqlalchemy import or_ +from sqlalchemy import asc, desc, or_ from core.app.entities.app_invoke_entities import InvokeFrom from core.llm_generator.llm_generator import LLMGenerator @@ -18,7 +19,8 @@ class ConversationService: last_id: Optional[str], limit: int, invoke_from: InvokeFrom, include_ids: Optional[list] = None, - exclude_ids: Optional[list] = None) -> InfiniteScrollPagination: + exclude_ids: Optional[list] = None, + sort_by: str = '-updated_at') -> InfiniteScrollPagination: if not user: return InfiniteScrollPagination(data=[], limit=limit, has_more=False) @@ -37,28 +39,28 @@ class ConversationService: if exclude_ids is not None: base_query = base_query.filter(~Conversation.id.in_(exclude_ids)) - if last_id: - last_conversation = base_query.filter( - Conversation.id == last_id, - ).first() + # define sort fields and directions + sort_field, sort_direction = cls._get_sort_params(sort_by) + if last_id: + last_conversation = base_query.filter(Conversation.id == last_id).first() if not last_conversation: raise LastConversationNotExistsError() - conversations = base_query.filter( - Conversation.created_at < last_conversation.created_at, - Conversation.id != last_conversation.id - ).order_by(Conversation.created_at.desc()).limit(limit).all() - else: - conversations = base_query.order_by(Conversation.created_at.desc()).limit(limit).all() + # build filters based on sorting + filter_condition = cls._build_filter_condition(sort_field, sort_direction, last_conversation) + base_query = base_query.filter(filter_condition) + + base_query = base_query.order_by(sort_direction(getattr(Conversation, sort_field))) + + conversations = base_query.limit(limit).all() has_more = False if len(conversations) == limit: - current_page_first_conversation = conversations[-1] - rest_count = base_query.filter( - Conversation.created_at < current_page_first_conversation.created_at, - Conversation.id != current_page_first_conversation.id - ).count() + current_page_last_conversation = conversations[-1] + rest_filter_condition = cls._build_filter_condition(sort_field, sort_direction, + current_page_last_conversation, is_next_page=True) + rest_count = base_query.filter(rest_filter_condition).count() if rest_count > 0: has_more = True @@ -69,6 +71,21 @@ class ConversationService: has_more=has_more ) + @classmethod + def _get_sort_params(cls, sort_by: str) -> tuple[str, callable]: + if sort_by.startswith('-'): + return sort_by[1:], desc + return sort_by, asc + + @classmethod + def _build_filter_condition(cls, sort_field: str, sort_direction: callable, reference_conversation: Conversation, + is_next_page: bool = False): + field_value = getattr(reference_conversation, sort_field) + if (sort_direction == desc and not is_next_page) or (sort_direction == asc and is_next_page): + return getattr(Conversation, sort_field) < field_value + else: + return getattr(Conversation, sort_field) > field_value + @classmethod def rename(cls, app_model: App, conversation_id: str, user: Optional[Union[Account, EndUser]], name: str, auto_generate: bool): @@ -78,6 +95,7 @@ class ConversationService: return cls.auto_generate_name(app_model, conversation) else: conversation.name = name + conversation.updated_at = datetime.now(timezone.utc).replace(tzinfo=None) db.session.commit() return conversation @@ -87,9 +105,9 @@ class ConversationService: # get conversation first message message = db.session.query(Message) \ .filter( - Message.app_id == app_model.id, - Message.conversation_id == conversation.id - ).order_by(Message.created_at.asc()).first() + Message.app_id == app_model.id, + Message.conversation_id == conversation.id + ).order_by(Message.created_at.asc()).first() if not message: raise MessageNotExistsError() diff --git a/api/services/web_conversation_service.py b/api/services/web_conversation_service.py index cba048ccdb..269a048134 100644 --- a/api/services/web_conversation_service.py +++ b/api/services/web_conversation_service.py @@ -13,7 +13,8 @@ class WebConversationService: @classmethod def pagination_by_last_id(cls, app_model: App, user: Optional[Union[Account, EndUser]], last_id: Optional[str], limit: int, invoke_from: InvokeFrom, - pinned: Optional[bool] = None) -> InfiniteScrollPagination: + pinned: Optional[bool] = None, + sort_by='-updated_at') -> InfiniteScrollPagination: include_ids = None exclude_ids = None if pinned is not None: @@ -36,6 +37,7 @@ class WebConversationService: invoke_from=invoke_from, include_ids=include_ids, exclude_ids=exclude_ids, + sort_by=sort_by ) @classmethod diff --git a/web/app/components/app/log/filter.tsx b/web/app/components/app/log/filter.tsx index 80a58bb5a2..0552b44d16 100644 --- a/web/app/components/app/log/filter.tsx +++ b/web/app/components/app/log/filter.tsx @@ -10,6 +10,7 @@ import dayjs from 'dayjs' import quarterOfYear from 'dayjs/plugin/quarterOfYear' import type { QueryParam } from './index' import { SimpleSelect } from '@/app/components/base/select' +import Sort from '@/app/components/base/sort' import { fetchAnnotationsCount } from '@/service/log' dayjs.extend(quarterOfYear) @@ -28,18 +29,19 @@ export const TIME_PERIOD_LIST = [ ] type IFilterProps = { + isChatMode?: boolean appId: string queryParams: QueryParam setQueryParams: (v: QueryParam) => void } -const Filter: FC = ({ appId, queryParams, setQueryParams }: IFilterProps) => { +const Filter: FC = ({ isChatMode, appId, queryParams, setQueryParams }: IFilterProps) => { const { data } = useSWR({ url: `/apps/${appId}/annotations/count` }, fetchAnnotationsCount) const { t } = useTranslation() if (!data) return null return ( -
+
({ value: item.value, name: t(`appLog.filter.period.${item.name}`) }))} className='mt-0 !w-40' @@ -68,7 +70,7 @@ const Filter: FC = ({ appId, queryParams, setQueryParams }: IFilte { @@ -76,6 +78,22 @@ const Filter: FC = ({ appId, queryParams, setQueryParams }: IFilte }} />
+ {isChatMode && ( + <> +
+ { + setQueryParams({ ...queryParams, sort_by: value as string }) + }} + /> + + )}
) } diff --git a/web/app/components/app/log/index.tsx b/web/app/components/app/log/index.tsx index e9ad2f43c6..dd6ebd08f0 100644 --- a/web/app/components/app/log/index.tsx +++ b/web/app/components/app/log/index.tsx @@ -24,6 +24,7 @@ export type QueryParam = { period?: number | string annotation_status?: string keyword?: string + sort_by?: string } const ThreeDotsIcon = ({ className }: SVGProps) => { @@ -52,9 +53,16 @@ const EmptyElement: FC<{ appUrl: string }> = ({ appUrl }) => { const Logs: FC = ({ appDetail }) => { const { t } = useTranslation() - const [queryParams, setQueryParams] = useState({ period: 7, annotation_status: 'all' }) + const [queryParams, setQueryParams] = useState({ + period: 7, + annotation_status: 'all', + sort_by: '-created_at', + }) const [currPage, setCurrPage] = React.useState(0) + // Get the app type first + const isChatMode = appDetail.mode !== 'completion' + const query = { page: currPage + 1, limit: APP_PAGE_LIMIT, @@ -64,6 +72,7 @@ const Logs: FC = ({ appDetail }) => { end: dayjs().endOf('day').format('YYYY-MM-DD HH:mm'), } : {}), + ...(isChatMode ? { sort_by: queryParams.sort_by } : {}), ...omit(queryParams, ['period']), } @@ -73,9 +82,6 @@ const Logs: FC = ({ appDetail }) => { return appType } - // Get the app type first - const isChatMode = appDetail.mode !== 'completion' - // When the details are obtained, proceed to the next request const { data: chatConversations, mutate: mutateChatList } = useSWR(() => isChatMode ? { @@ -97,7 +103,7 @@ const Logs: FC = ({ appDetail }) => {

{t('appLog.description')}

- + {total === undefined ? : total > 0 diff --git a/web/app/components/app/log/list.tsx b/web/app/components/app/log/list.tsx index 646ae80116..40d171761b 100644 --- a/web/app/components/app/log/list.tsx +++ b/web/app/components/app/log/list.tsx @@ -671,12 +671,13 @@ const ConversationList: FC = ({ logs, appDetail, onRefresh }) - {t('appLog.table.header.time')} - {t('appLog.table.header.endUser')} {isChatMode ? t('appLog.table.header.summary') : t('appLog.table.header.input')} + {t('appLog.table.header.endUser')} {isChatMode ? t('appLog.table.header.messageCount') : t('appLog.table.header.output')} {t('appLog.table.header.userRate')} {t('appLog.table.header.adminRate')} + {t('appLog.table.header.updatedTime')} + {t('appLog.table.header.time')} @@ -692,11 +693,10 @@ const ConversationList: FC = ({ logs, appDetail, onRefresh }) setCurrentConversation(log) }}> {!log.read_at && } - {formatTime(log.created_at, t('appLog.dateTimeFormat') as string)} - {renderTdValue(endUser || defaultValue, !endUser)} {renderTdValue(leftValue || t('appLog.table.empty.noChat'), !leftValue, isChatMode && log.annotated)} + {renderTdValue(endUser || defaultValue, !endUser)} {renderTdValue(rightValue === 0 ? 0 : (rightValue || t('appLog.table.empty.noOutput')), !rightValue, !isChatMode && !!log.annotation?.content, log.annotation)} @@ -718,6 +718,8 @@ const ConversationList: FC = ({ logs, appDetail, onRefresh }) } + {formatTime(log.updated_at, t('appLog.dateTimeFormat') as string)} + {formatTime(log.created_at, t('appLog.dateTimeFormat') as string)} })} diff --git a/web/app/components/base/sort/index.tsx b/web/app/components/base/sort/index.tsx new file mode 100644 index 0000000000..b2524d8516 --- /dev/null +++ b/web/app/components/base/sort/index.tsx @@ -0,0 +1,92 @@ +import type { FC } from 'react' +import { useMemo, useState } from 'react' +import { useTranslation } from 'react-i18next' +import { RiArrowDownSLine, RiCheckLine, RiSortAsc, RiSortDesc } from '@remixicon/react' +import cn from '@/utils/classnames' +import { + PortalToFollowElem, + PortalToFollowElemContent, + PortalToFollowElemTrigger, +} from '@/app/components/base/portal-to-follow-elem' + +export type Item = { + value: number | string + name: string +} & Record + +type Props = { + order?: string + value: number | string + items: Item[] + onSelect: (item: any) => void +} +const Sort: FC = ({ + order, + value, + items, + onSelect, +}) => { + const { t } = useTranslation() + const [open, setOpen] = useState(false) + + const triggerContent = useMemo(() => { + return items.find(item => item.value === value)?.name || '' + }, [items, value]) + + return ( +
+ +
+ setOpen(v => !v)} + className='block' + > +
+
+
{t('appLog.filter.sortBy')}
+
+ {triggerContent} +
+
+ +
+ + +
+
+ {items.map(item => ( +
{ + onSelect(`${order}${item.value}`) + setOpen(false) + }} + > +
{item.name}
+ {value === item.value && } +
+ ))} +
+
+ +
+ +
onSelect(`${order ? '' : '-'}${value}`)}> + {!order && } + {order && } +
+
+ + ) +} + +export default Sort diff --git a/web/i18n/de-DE/app-log.ts b/web/i18n/de-DE/app-log.ts index f0985a2ed7..0660a87c91 100644 --- a/web/i18n/de-DE/app-log.ts +++ b/web/i18n/de-DE/app-log.ts @@ -4,7 +4,8 @@ const translation = { dateTimeFormat: 'MM/DD/YYYY hh:mm A', table: { header: { - time: 'Zeit', + updatedTime: 'Aktualisierungszeit', + time: 'Erstellungszeit', endUser: 'Endbenutzer', input: 'Eingabe', output: 'Ausgabe', diff --git a/web/i18n/en-US/app-log.ts b/web/i18n/en-US/app-log.ts index b45c1640d1..17a6f4755a 100644 --- a/web/i18n/en-US/app-log.ts +++ b/web/i18n/en-US/app-log.ts @@ -4,7 +4,8 @@ const translation = { dateTimeFormat: 'MM/DD/YYYY hh:mm A', table: { header: { - time: 'Time', + updatedTime: 'Updated time', + time: 'Created time', endUser: 'End User', input: 'Input', output: 'Output', @@ -69,6 +70,9 @@ const translation = { annotated: 'Annotated Improvements ({{count}} items)', not_annotated: 'Not Annotated', }, + sortBy: 'Sort by:', + descending: 'descending', + ascending: 'ascending', }, workflowTitle: 'Workflow Logs', workflowSubtitle: 'The log recorded the operation of Automate.', diff --git a/web/i18n/es-ES/app-log.ts b/web/i18n/es-ES/app-log.ts index 2a6c9f57da..cd957239b2 100644 --- a/web/i18n/es-ES/app-log.ts +++ b/web/i18n/es-ES/app-log.ts @@ -4,7 +4,8 @@ const translation = { dateTimeFormat: 'MM/DD/YYYY hh:mm A', table: { header: { - time: 'Tiempo', + updatedTime: 'Hora actualizada', + time: 'Hora creada', endUser: 'Usuario Final', input: 'Entrada', output: 'Salida', diff --git a/web/i18n/ja-JP/app-log.ts b/web/i18n/ja-JP/app-log.ts index 9d5ef54be8..806544f2de 100644 --- a/web/i18n/ja-JP/app-log.ts +++ b/web/i18n/ja-JP/app-log.ts @@ -4,7 +4,8 @@ const translation = { dateTimeFormat: 'MM/DD/YYYY hh:mm A', table: { header: { - time: '時間', + updatedTime: '更新時間', + time: '作成時間', endUser: 'エンドユーザー', input: '入力', output: '出力', @@ -69,6 +70,9 @@ const translation = { annotated: '注釈付きの改善 ({{count}} アイテム)', not_annotated: '注釈なし', }, + sortBy: '並べ替え', + descending: '降順', + ascending: '昇順', }, workflowTitle: 'ワークフローログ', workflowSubtitle: 'このログは Automate の操作を記録しました。', diff --git a/web/i18n/zh-Hans/app-log.ts b/web/i18n/zh-Hans/app-log.ts index d8993c8f75..47ed566085 100644 --- a/web/i18n/zh-Hans/app-log.ts +++ b/web/i18n/zh-Hans/app-log.ts @@ -4,7 +4,8 @@ const translation = { dateTimeFormat: 'YYYY-MM-DD HH:mm', table: { header: { - time: '时间', + updatedTime: '更新时间', + time: '创建时间', endUser: '用户', input: '输入', output: '输出', @@ -69,6 +70,9 @@ const translation = { annotated: '已标注改进（{{count}} 项）', not_annotated: '未标注', }, + sortBy: '排序：', + descending: '降序', + ascending: '升序', }, workflowTitle: '日志', workflowSubtitle: '日志记录了应用的执行情况', diff --git a/web/models/log.ts b/web/models/log.ts index fbd4674c9b..6f8ebb1a78 100644 --- a/web/models/log.ts +++ b/web/models/log.ts @@ -117,6 +117,7 @@ export type CompletionConversationGeneralDetail = { from_account_id: string read_at: Date created_at: number + updated_at: number annotation: Annotation user_feedback_stats: { like: number From c70d69322b122005940493869de62e3fe7614611 Mon Sep 17 00:00:00 2001 From: Joel Date: Tue, 20 Aug 2024 18:28:39 +0800 Subject: [PATCH 011/164] feat: support dialogue count in chatflow (#7440) --- .../nodes/_base/components/option-card.tsx | 13 +++++- .../nodes/_base/components/variable/utils.ts | 4 ++ .../workflow/nodes/assigner/panel.tsx | 2 +- .../components/workflow/nodes/start/panel.tsx | 35 +++++++++++----- web/package.json | 3 +- web/yarn.lock | 41 ++++++++++++------- 6 files changed, 69 insertions(+), 29 deletions(-) diff --git a/web/app/components/workflow/nodes/_base/components/option-card.tsx b/web/app/components/workflow/nodes/_base/components/option-card.tsx index 71c2c2958d..7be5c12633 100644 --- a/web/app/components/workflow/nodes/_base/components/option-card.tsx +++ b/web/app/components/workflow/nodes/_base/components/option-card.tsx @@ -3,7 +3,9 @@ import type { FC } from 'react' import React, { useCallback } from 'react' import type { VariantProps } from 'class-variance-authority' import { cva } from 'class-variance-authority' +import { RiQuestionLine } from '@remixicon/react' import cn from '@/utils/classnames' +import TooltipPlus from '@/app/components/base/tooltip-plus' const variants = cva([], { variants: { @@ -26,6 +28,7 @@ type Props = { selected: boolean disabled?: boolean align?: 'left' | 'center' | 'right' + tooltip?: string } & VariantProps const OptionCard: FC = ({ @@ -35,6 +38,7 @@ const OptionCard: FC = ({ selected, disabled, align = 'center', + tooltip, }) => { const handleSelect = useCallback(() => { if (selected || disabled) @@ -54,7 +58,14 @@ const OptionCard: FC = ({ )} onClick={handleSelect} > - {title} + {title} + {tooltip && + {tooltip} +
} + > + + }
) } diff --git a/web/app/components/workflow/nodes/_base/components/variable/utils.ts b/web/app/components/workflow/nodes/_base/components/variable/utils.ts index e42088fd1b..3deec09dc2 100644 --- a/web/app/components/workflow/nodes/_base/components/variable/utils.ts +++ b/web/app/components/workflow/nodes/_base/components/variable/utils.ts @@ -99,6 +99,10 @@ const formatItem = ( variable: 'sys.query', type: VarType.string, }) + res.vars.push({ + variable: 'sys.dialogue_count', + type: VarType.number, + }) res.vars.push({ variable: 'sys.conversation_id', type: VarType.string, diff --git a/web/app/components/workflow/nodes/assigner/panel.tsx b/web/app/components/workflow/nodes/assigner/panel.tsx index 6bba0d2a31..ff5a6420f3 100644 --- a/web/app/components/workflow/nodes/assigner/panel.tsx +++ b/web/app/components/workflow/nodes/assigner/panel.tsx @@ -49,7 +49,6 @@ const Panel: FC> = ({
{writeModeTypes.map(type => ( @@ -59,6 +58,7 @@ const Panel: FC> = ({ onSelect={handleWriteModeChange(type)} selected={inputs.write_mode === type} disabled={!isSupportAppend && type === WriteMode.Append} + tooltip={type === WriteMode.Append ? t(`${i18nPrefix}.writeModeTip`)! : undefined} /> ))}
diff --git a/web/app/components/workflow/nodes/start/panel.tsx b/web/app/components/workflow/nodes/start/panel.tsx index 48b5d6b7c2..ce86a34265 100644 --- a/web/app/components/workflow/nodes/start/panel.tsx +++ b/web/app/components/workflow/nodes/start/panel.tsx @@ -84,17 +84,30 @@ const Panel: FC> = ({ /> { isChatMode && ( - - String - - } - /> + <> + + Number + + } + /> + + String + + } + /> + ) } Date: Tue, 20 Aug 2024 19:30:57 +0800 Subject: [PATCH 012/164] fix: document error message can not be cleared (#7453) --- api/core/indexing_runner.py | 1 + 1 file changed, 1 insertion(+) diff --git a/api/core/indexing_runner.py b/api/core/indexing_runner.py index b20c6ed187..8173028ed7 100644 --- a/api/core/indexing_runner.py +++ b/api/core/indexing_runner.py @@ -700,6 +700,7 @@ class IndexingRunner: DatasetDocument.tokens: tokens, DatasetDocument.completed_at: datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None), DatasetDocument.indexing_latency: indexing_end_at - indexing_start_at, + DatasetDocument.error: None, } ) From 8c32f8c77da7825074a3a1d60ab5d16ba00b0520 Mon Sep 17 00:00:00 2001 From: Nam Vu Date: Wed, 21 Aug 2024 08:03:51 +0700 Subject: [PATCH 013/164] chore: #7348 i18n (#7451) --- web/i18n/de-DE/app-log.ts | 3 +++ web/i18n/es-ES/app-log.ts | 3 +++ web/i18n/fa-IR/app-log.ts | 6 +++++- web/i18n/fr-FR/app-log.ts | 6 +++++- web/i18n/hi-IN/app-log.ts | 6 +++++- web/i18n/it-IT/app-log.ts | 6 +++++- web/i18n/ko-KR/app-log.ts | 6 +++++- web/i18n/pl-PL/app-log.ts | 6 +++++- web/i18n/pt-BR/app-log.ts | 6 +++++- web/i18n/ro-RO/app-log.ts | 6 +++++- web/i18n/tr-TR/app-log.ts | 6 +++++- web/i18n/uk-UA/app-log.ts | 6 +++++- web/i18n/vi-VN/app-log.ts | 6 +++++- web/i18n/zh-Hant/app-log.ts | 6 +++++- 14 files changed, 66 insertions(+), 12 deletions(-) diff --git a/web/i18n/de-DE/app-log.ts b/web/i18n/de-DE/app-log.ts index 0660a87c91..8a961a597d 100644 --- a/web/i18n/de-DE/app-log.ts +++ b/web/i18n/de-DE/app-log.ts @@ -64,6 +64,9 @@ const translation = { annotated: 'Markierte Verbesserungen ({{count}} Elemente)', not_annotated: 'Nicht annotiert', }, + sortBy: 'Sortieren nach:', + descending: 'absteigend', + ascending: 'aufsteigend', }, workflowTitle: 'Workflow-Protokolle', workflowSubtitle: 'Das Protokoll hat den Vorgang von Automate aufgezeichnet.', diff --git a/web/i18n/es-ES/app-log.ts b/web/i18n/es-ES/app-log.ts index cd957239b2..9a5c467172 100644 --- a/web/i18n/es-ES/app-log.ts +++ b/web/i18n/es-ES/app-log.ts @@ -70,6 +70,9 @@ const translation = { annotated: 'Mejoras Anotadas ({{count}} elementos)', not_annotated: 'No Anotadas', }, + sortBy: 'Ordenar por:', + descending: 'descendente', + ascending: 'ascendente', }, workflowTitle: 'Registros de Flujo de Trabajo', workflowSubtitle: 'El registro registró la operación de Automate.', diff --git a/web/i18n/fa-IR/app-log.ts b/web/i18n/fa-IR/app-log.ts index 80919c1c3a..1f15ca2199 100644 --- a/web/i18n/fa-IR/app-log.ts +++ b/web/i18n/fa-IR/app-log.ts @@ -4,7 +4,8 @@ const translation = { dateTimeFormat: 'MM/DD/YYYY hh:mm A', table: { header: { - time: 'زمان', + updatedTime: 'زمان به‌روزرسانی', + time: 'زمان ایجاد', endUser: 'کاربر نهایی', input: 'ورودی', output: 'خروجی', @@ -69,6 +70,9 @@ const translation = { annotated: 'بهبودهای حاشیه‌نویسی شده ({{count}} آیتم)', not_annotated: 'حاشیه‌نویسی نشده', }, + sortBy: 'مرتب‌سازی بر اساس:', + descending: 'نزولی', + ascending: 'صعودی', }, workflowTitle: 'لاگ‌های جریان کاری', workflowSubtitle: 'لاگ عملیات خودکار را ثبت کرده است.', diff --git a/web/i18n/fr-FR/app-log.ts b/web/i18n/fr-FR/app-log.ts index ca438d0a37..da4cdaa7d8 100644 --- a/web/i18n/fr-FR/app-log.ts +++ b/web/i18n/fr-FR/app-log.ts @@ -4,7 +4,8 @@ const translation = { dateTimeFormat: 'MM/DD/YYYY hh:mm A', table: { header: { - time: 'Heure', + updatedTime: 'Heure de mise à jour', + time: 'Heure de création', endUser: 'Utilisateur final', input: 'Entrée', output: 'Sortie', @@ -69,6 +70,9 @@ const translation = { annotated: 'Améliorations annotées ({{count}} éléments)', not_annotated: 'Non annoté', }, + sortBy: 'Trier par :', + descending: 'décroissant', + ascending: 'croissant', }, workflowTitle: 'Journaux de workflow', workflowSubtitle: 'Le journal enregistre l\'opération d\'Automate.', diff --git a/web/i18n/hi-IN/app-log.ts b/web/i18n/hi-IN/app-log.ts index 907f9a57c9..887b0f4ae2 100644 --- a/web/i18n/hi-IN/app-log.ts +++ b/web/i18n/hi-IN/app-log.ts @@ -4,7 +4,8 @@ const translation = { dateTimeFormat: 'MM/DD/YYYY hh:mm A', table: { header: { - time: 'समय', + updatedTime: 'अपडेट का समय', + time: 'बनाने का समय', endUser: 'अंतिम उपयोगकर्ता', input: 'इनपुट', output: 'आउटपुट', @@ -71,6 +72,9 @@ const translation = { annotated: 'एनोटेट किए गए सुधार ({{count}} आइटम)', not_annotated: 'एनोटेट नहीं किया गया', }, + sortBy: 'इसके अनुसार क्रमबद्ध करें:', + descending: 'अवरोही', + ascending: 'आरोही', }, workflowTitle: 'वर्कफ़्लो लॉग्स', workflowSubtitle: 'यह लॉग ऑटोमेटे के ऑपरेशन को रिकॉर्ड करता है।', diff --git a/web/i18n/it-IT/app-log.ts b/web/i18n/it-IT/app-log.ts index 81acf78d99..b56a8ef23b 100644 --- a/web/i18n/it-IT/app-log.ts +++ b/web/i18n/it-IT/app-log.ts @@ -5,7 +5,8 @@ const translation = { dateTimeFormat: 'MM/DD/YYYY hh:mm A', table: { header: { - time: 'Ora', + updatedTime: 'Ora di aggiornamento', + time: 'Ora di creazione', endUser: 'Utente Finale', input: 'Input', output: 'Output', @@ -73,6 +74,9 @@ const translation = { annotated: 'Miglioramenti Annotati ({{count}} elementi)', not_annotated: 'Non Annotati', }, + sortBy: 'Ordina per:', + descending: 'decrescente', + ascending: 'crescente', }, workflowTitle: 'Registri del Workflow', workflowSubtitle: 'Il registro ha registrato il funzionamento di Automate.', diff --git a/web/i18n/ko-KR/app-log.ts b/web/i18n/ko-KR/app-log.ts index 61bf5a7f8e..f32512276d 100644 --- a/web/i18n/ko-KR/app-log.ts +++ b/web/i18n/ko-KR/app-log.ts @@ -4,7 +4,8 @@ const translation = { dateTimeFormat: 'YYYY/MM/DD HH:mm', table: { header: { - time: '시간', + updatedTime: '업데이트 시간', + time: '생성 시간', endUser: '엔드 유저', input: '입력', output: '출력', @@ -70,6 +71,9 @@ const translation = { annotated: '향상 주석 ({{count}} 개 항목)', not_annotated: '주석 없음', }, + sortBy: '정렬 기준:', + descending: '내림차순', + ascending: '오름차순', }, workflowTitle: '워크플로우 로그', workflowSubtitle: '이 로그는 Automate의 작업을 기록했습니다.', diff --git a/web/i18n/pl-PL/app-log.ts b/web/i18n/pl-PL/app-log.ts index 048958b110..8740c97ee9 100644 --- a/web/i18n/pl-PL/app-log.ts +++ b/web/i18n/pl-PL/app-log.ts @@ -5,7 +5,8 @@ const translation = { dateTimeFormat: 'DD/MM/YYYY HH:mm', table: { header: { - time: 'Czas', + updatedTime: 'Czas aktualizacji', + time: 'Czas utworzenia', endUser: 'Użytkownik końcowy', input: 'Wejście', output: 'Wyjście', @@ -73,6 +74,9 @@ const translation = { annotated: 'Zanotowane usprawnienia ({{count}} elementów)', not_annotated: 'Nie zanotowane', }, + sortBy: 'Sortuj według:', + descending: 'malejąco', + ascending: 'rosnąco', }, workflowTitle: 'Dzienniki przepływu pracy', workflowSubtitle: 'Dziennik zarejestrował operację Automatyzacji.', diff --git a/web/i18n/pt-BR/app-log.ts b/web/i18n/pt-BR/app-log.ts index 9b3ba9aaf2..0b5747e0ea 100644 --- a/web/i18n/pt-BR/app-log.ts +++ b/web/i18n/pt-BR/app-log.ts @@ -4,7 +4,8 @@ const translation = { dateTimeFormat: 'MM/DD/YYYY hh:mm A', table: { header: { - time: 'Hora', + updatedTime: 'Hora de atualização', + time: 'Hora de criação', endUser: 'Usuário Final', input: 'Entrada', output: 'Saída', @@ -69,6 +70,9 @@ const translation = { annotated: 'Melhorias Anotadas ({{count}} itens)', not_annotated: 'Não Anotado', }, + sortBy: 'Ordenar por:', + descending: 'decrescente', + ascending: 'crescente', }, workflowTitle: 'Registros de Fluxo de Trabalho', workflowSubtitle: 'O registro registrou a operação do Automate.', diff --git a/web/i18n/ro-RO/app-log.ts b/web/i18n/ro-RO/app-log.ts index 78cf9653e7..9072d7b99a 100644 --- a/web/i18n/ro-RO/app-log.ts +++ b/web/i18n/ro-RO/app-log.ts @@ -4,7 +4,8 @@ const translation = { dateTimeFormat: 'DD/MM/YYYY hh:mm A', table: { header: { - time: 'Oră', + updatedTime: 'Timp actualizare', + time: 'Timp creare', endUser: 'Utilizator final', input: 'Intrare', output: 'Ieșire', @@ -69,6 +70,9 @@ const translation = { annotated: 'Îmbunătățiri annotate ({{count}} elemente)', not_annotated: 'Fără annotări', }, + sortBy: 'Sortează după:', + descending: 'descrescător', + ascending: 'crescător', }, workflowTitle: 'Jurnale de flux de lucru', workflowSubtitle: 'Jurnalul a înregistrat operațiunea Automate.', diff --git a/web/i18n/tr-TR/app-log.ts b/web/i18n/tr-TR/app-log.ts index b0dce68959..7814ae61a5 100644 --- a/web/i18n/tr-TR/app-log.ts +++ b/web/i18n/tr-TR/app-log.ts @@ -4,7 +4,8 @@ const translation = { dateTimeFormat: 'GG/AA/YYYY ss:dd ÖÖ/ÖS', table: { header: { - time: 'Zaman', + updatedTime: 'Güncellenme zamanı', + time: 'Oluşturulma zamanı', endUser: 'Son Kullanıcı', input: 'Girdi', output: 'Çıktı', @@ -69,6 +70,9 @@ const translation = { annotated: 'Açıklamalı İyileştirmeler ({{count}} öğe)', not_annotated: 'Açıklanmamış', }, + sortBy: 'Sıralama ölçütü:', + descending: 'azalan', + ascending: 'artan', }, workflowTitle: 'Workflow Günlükleri', workflowSubtitle: 'Günlük, Automate\'in çalışmasını kaydetmiştir.', diff --git a/web/i18n/uk-UA/app-log.ts b/web/i18n/uk-UA/app-log.ts index c613589e8c..fd97d5ed4c 100644 --- a/web/i18n/uk-UA/app-log.ts +++ b/web/i18n/uk-UA/app-log.ts @@ -4,7 +4,8 @@ const translation = { dateTimeFormat: 'MM/DD/YYYY hh:mm A', table: { header: { - time: 'Час', + updatedTime: 'Час оновлення', + time: 'Час створення', endUser: 'Кінцевий Користувач', input: 'Введення', output: 'Виведення', @@ -69,6 +70,9 @@ const translation = { annotated: 'Покращення з Анотацією ({{count}} елементів)', not_annotated: 'Без Анотації', }, + sortBy: 'Сортувати за:', + descending: 'спадаючий', + ascending: 'зростаючий', }, workflowTitle: 'Журнали Робочого Процесу', workflowSubtitle: 'Журнал зареєстрував роботу Автоматизації.', diff --git a/web/i18n/vi-VN/app-log.ts b/web/i18n/vi-VN/app-log.ts index 7440be6126..733c6c84df 100644 --- a/web/i18n/vi-VN/app-log.ts +++ b/web/i18n/vi-VN/app-log.ts @@ -4,7 +4,8 @@ const translation = { dateTimeFormat: 'MM/DD/YYYY hh:mm A', table: { header: { - time: 'Thời gian', + updatedTime: 'Thời gian cập nhật', + time: 'Thời gian tạo', endUser: 'Người dùng cuối', input: 'Đầu vào', output: 'Đầu ra', @@ -69,6 +70,9 @@ const translation = { annotated: 'Đã chú thích ({{count}} mục)', not_annotated: 'Chưa chú thích', }, + sortBy: 'Sắp xếp theo:', + descending: 'giảm dần', + ascending: 'tăng dần', }, workflowTitle: 'Nhật ký quy trình làm việc', workflowSubtitle: 'Nhật ký ghi lại hoạt động của Tự động hóa.', diff --git a/web/i18n/zh-Hant/app-log.ts b/web/i18n/zh-Hant/app-log.ts index 09ef73bc06..0c5af34a1a 100644 --- a/web/i18n/zh-Hant/app-log.ts +++ b/web/i18n/zh-Hant/app-log.ts @@ -4,7 +4,8 @@ const translation = { dateTimeFormat: 'YYYY-MM-DD HH:mm', table: { header: { - time: '時間', + updatedTime: '更新時間', + time: '創建時間', endUser: '使用者', input: '輸入', output: '輸出', @@ -69,6 +70,9 @@ const translation = { annotated: '已標註改進（{{count}} 項）', not_annotated: '未標註', }, + sortBy: '排序方式：', + descending: '降序', + ascending: '升序', }, workflowTitle: '日誌', workflowSubtitle: '日誌記錄了應用的執行情況', From 9a715f6b687dca76c0faf8d2607a439c502aeb79 Mon Sep 17 00:00:00 2001 From: luckylhb90 Date: Wed, 21 Aug 2024 04:04:54 +0300 Subject: [PATCH 014/164] fix(tool): tool node error (#7459) Co-authored-by: hobo.l --- api/core/workflow/nodes/tool/tool_node.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/api/core/workflow/nodes/tool/tool_node.py b/api/core/workflow/nodes/tool/tool_node.py index 9b52cd2f6b..ccce9ef360 100644 --- a/api/core/workflow/nodes/tool/tool_node.py +++ b/api/core/workflow/nodes/tool/tool_node.py @@ -2,7 +2,7 @@ from collections.abc import Mapping, Sequence from os import path from typing import Any, cast -from core.app.segments import ArrayAnyVariable, parser +from core.app.segments import ArrayAnySegment, ArrayAnyVariable, parser from core.callback_handler.workflow_tool_callback_handler import DifyWorkflowCallbackHandler from core.file.file_obj import FileTransferMethod, FileType, FileVar from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter @@ -142,7 +142,7 @@ class ToolNode(BaseNode): def _fetch_files(self, variable_pool: VariablePool) -> list[FileVar]: variable = variable_pool.get(['sys', SystemVariableKey.FILES.value]) - assert isinstance(variable, ArrayAnyVariable) + assert isinstance(variable, ArrayAnyVariable | ArrayAnySegment) return list(variable.value) if variable else [] def _convert_tool_messages(self, messages: list[ToolInvokeMessage]): From 028fd52c9bf1677739418d54681b3c7e5cfc07da Mon Sep 17 00:00:00 2001 From: Hash Brown Date: Wed, 21 Aug 2024 10:29:16 +0800 Subject: [PATCH 015/164] fix: image icon not showing correctly on left panel in workflow web app page (#7466) --- web/app/components/share/text-generation/index.tsx | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/web/app/components/share/text-generation/index.tsx b/web/app/components/share/text-generation/index.tsx index 2cb942ca26..dd6efa86fa 100644 --- a/web/app/components/share/text-generation/index.tsx +++ b/web/app/components/share/text-generation/index.tsx @@ -551,7 +551,13 @@ const TextGeneration: FC = ({
- +
{siteInfo.title}
{!isPC && ( From 6c25d7bed393bb839bc33e391b62c913d56c443b Mon Sep 17 00:00:00 2001 From: Joel Date: Wed, 21 Aug 2024 10:34:25 +0800 Subject: [PATCH 016/164] chore: improve the copywrite of the assigner node append mode description (#7467) --- web/i18n/en-US/workflow.ts | 2 +- web/i18n/zh-Hans/workflow.ts | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/web/i18n/en-US/workflow.ts b/web/i18n/en-US/workflow.ts index 78bc58e4b9..e0613a110f 100644 --- a/web/i18n/en-US/workflow.ts +++ b/web/i18n/en-US/workflow.ts @@ -440,7 +440,7 @@ const translation = { assigner: { 'assignedVariable': 'Assigned Variable', 'writeMode': 'Write Mode', - 'writeModeTip': 'When ASSIGNED VARIABLE is an array, append mode adds to the end.', + 'writeModeTip': 'Append mode: Available for array variables only.', 'over-write': 'Overwrite', 'append': 'Append', 'plus': 'Plus', diff --git a/web/i18n/zh-Hans/workflow.ts b/web/i18n/zh-Hans/workflow.ts index eb75ba1db3..f57eb40bb0 100644 --- a/web/i18n/zh-Hans/workflow.ts +++ b/web/i18n/zh-Hans/workflow.ts @@ -440,7 +440,7 @@ const translation = { assigner: { 'assignedVariable': '赋值的变量', 'writeMode': '写入模式', - 'writeModeTip': '赋值的变量为数组时，可添加变量至数组末尾。', + 'writeModeTip': '使用追加模式时，赋值的变量必须是数组类型。', 'over-write': '覆盖', 'append': '追加', 'plus': '加', From 4e7b6aec3a7ab0c67777c2e44eede7dc500b7391 Mon Sep 17 00:00:00 2001 From: Xiyuan Chen <52963600+GareArc@users.noreply.github.com> Date: Tue, 20 Aug 2024 23:16:43 -0400 Subject: [PATCH 017/164] feat: support pinning, including, and excluding for model providers and tools (#7419) Co-authored-by: GareArc --- api/.env.example | 11 ++- api/configs/feature/__init__.py | 59 +++++++++++++ api/core/helper/position_helper.py | 82 ++++++++++++++++++ api/core/model_manager.py | 10 ++- .../model_providers/__base/ai_model.py | 6 +- .../model_providers/model_provider_factory.py | 4 +- api/core/provider_manager.py | 37 ++++++-- api/core/tools/provider/builtin/_positions.py | 6 +- api/core/tools/tool_manager.py | 29 ++++--- api/services/app_service.py | 9 +- api/services/model_provider_service.py | 28 +++--- .../tools/builtin_tools_manage_service.py | 34 +++++--- .../position_helper/test_position_helper.py | 86 +++++++++++++++++-- docker/.env.example | 19 ++++ 14 files changed, 363 insertions(+), 57 deletions(-) diff --git a/api/.env.example b/api/.env.example index 775149f8fd..f81675fd53 100644 --- a/api/.env.example +++ b/api/.env.example @@ -267,4 +267,13 @@ APP_MAX_ACTIVE_REQUESTS=0 # Celery beat configuration -CELERY_BEAT_SCHEDULER_TIME=1 \ No newline at end of file +CELERY_BEAT_SCHEDULER_TIME=1 + +# Position configuration +POSITION_TOOL_PINS= +POSITION_TOOL_INCLUDES= +POSITION_TOOL_EXCLUDES= + +POSITION_PROVIDER_PINS= +POSITION_PROVIDER_INCLUDES= +POSITION_PROVIDER_EXCLUDES= diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py index 369b25d788..27de2c0461 100644 --- a/api/configs/feature/__init__.py +++ b/api/configs/feature/__init__.py @@ -406,6 +406,7 @@ class DataSetConfig(BaseSettings): default=False, ) + class WorkspaceConfig(BaseSettings): """ Workspace configs @@ -442,6 +443,63 @@ class CeleryBeatConfig(BaseSettings): ) +class PositionConfig(BaseSettings): + + POSITION_PROVIDER_PINS: str = Field( + description='The heads of model providers', + default='', + ) + + POSITION_PROVIDER_INCLUDES: str = Field( + description='The included model providers', + default='', + ) + + POSITION_PROVIDER_EXCLUDES: str = Field( + description='The excluded model providers', + default='', + ) + + POSITION_TOOL_PINS: str = Field( + description='The heads of tools', + default='', + ) + + POSITION_TOOL_INCLUDES: str = Field( + description='The included tools', + default='', + ) + + POSITION_TOOL_EXCLUDES: str = Field( + description='The excluded tools', + default='', + ) + + @computed_field + def POSITION_PROVIDER_PINS_LIST(self) -> list[str]: + return [item.strip() for item in self.POSITION_PROVIDER_PINS.split(',') if item.strip() != ''] + + @computed_field + def POSITION_PROVIDER_INCLUDES_SET(self) -> set[str]: + return {item.strip() for item in self.POSITION_PROVIDER_INCLUDES.split(',') if item.strip() != ''} + + @computed_field + def POSITION_PROVIDER_EXCLUDES_SET(self) -> set[str]: + return {item.strip() for item in self.POSITION_PROVIDER_EXCLUDES.split(',') if item.strip() != ''} + + @computed_field + def POSITION_TOOL_PINS_LIST(self) -> list[str]: + return [item.strip() for item in self.POSITION_TOOL_PINS.split(',') if item.strip() != ''] + + @computed_field + def POSITION_TOOL_INCLUDES_SET(self) -> set[str]: + return {item.strip() for item in self.POSITION_TOOL_INCLUDES.split(',') if item.strip() != ''} + + @computed_field + def POSITION_TOOL_EXCLUDES_SET(self) -> set[str]: + return {item.strip() for item in self.POSITION_TOOL_EXCLUDES.split(',') if item.strip() != ''} + + class FeatureConfig( # place the configs in alphabet order AppExecutionConfig, @@ -466,6 +524,7 @@ class FeatureConfig( UpdateConfig, WorkflowConfig, WorkspaceConfig, + PositionConfig, # hosted services config HostedServiceConfig, diff --git a/api/core/helper/position_helper.py b/api/core/helper/position_helper.py index dd1534c791..8cf184ac44 100644 --- a/api/core/helper/position_helper.py +++ b/api/core/helper/position_helper.py @@ -3,6 +3,7 @@ from collections import OrderedDict from collections.abc import Callable from typing import Any +from configs import dify_config from core.tools.utils.yaml_utils import load_yaml_file @@ -19,6 +20,87 @@ def get_position_map(folder_path: str, *, file_name: str = "_position.yaml") -> return {name: index for index, name in enumerate(positions)} +def get_tool_position_map(folder_path: str, file_name: str = "_position.yaml") -> dict[str, int]: + """ + Get the mapping for tools from name to index from a YAML file. + :param folder_path: + :param file_name: the YAML file name, default to '_position.yaml' + :return: a dict with name as key and index as value + """ + position_map = get_position_map(folder_path, file_name=file_name) + + return pin_position_map( + position_map, + pin_list=dify_config.POSITION_TOOL_PINS_LIST, + ) + + +def get_provider_position_map(folder_path: str, file_name: str = "_position.yaml") -> dict[str, int]: + """ + Get the mapping for providers from name to index from a YAML file. + :param folder_path: + :param file_name: the YAML file name, default to '_position.yaml' + :return: a dict with name as key and index as value + """ + position_map = get_position_map(folder_path, file_name=file_name) + return pin_position_map( + position_map, + pin_list=dify_config.POSITION_PROVIDER_PINS_LIST, + ) + + +def pin_position_map(original_position_map: dict[str, int], pin_list: list[str]) -> dict[str, int]: + """ + Pin the items in the pin list to the beginning of the position map. + Overall logic: exclude > include > pin + :param position_map: the position map to be sorted and filtered + :param pin_list: the list of pins to be put at the beginning + :return: the sorted position map + """ + positions = sorted(original_position_map.keys(), key=lambda x: original_position_map[x]) + + # Add pins to position map + position_map = {name: idx for idx, name in enumerate(pin_list)} + + # Add remaining positions to position map + start_idx = len(position_map) + for name in positions: + if name not in position_map: + position_map[name] = start_idx + start_idx += 1 + + return position_map + + +def is_filtered( + include_set: set[str], + exclude_set: set[str], + data: Any, + name_func: Callable[[Any], str], +) -> bool: + """ + Chcek if the object should be filtered out. + Overall logic: exclude > include > pin + :param include_set: the set of names to be included + :param exclude_set: the set of names to be excluded + :param name_func: the function to get the name of the object + :param data: the data to be filtered + :return: True if the object should be filtered out, False otherwise + """ + if not data: + return False + if not include_set and not exclude_set: + return False + + name = name_func(data) + + if name in exclude_set: # exclude_set is prioritized + return True + if include_set and name not in include_set: # filter out only if include_set is not empty + return True + return False + + def sort_by_position_map( position_map: dict[str, int], data: list[Any], diff --git a/api/core/model_manager.py b/api/core/model_manager.py index 7c23e14297..1ceed8043c 100644 --- a/api/core/model_manager.py +++ b/api/core/model_manager.py @@ -368,6 +368,15 @@ class ModelManager: return ModelInstance(provider_model_bundle, model) + def get_default_provider_model_name(self, tenant_id: str, model_type: ModelType) -> tuple[str, str]: + """ + Return first provider and the first model in the provider + :param tenant_id: tenant id + :param model_type: model type + :return: provider name, model name + """ + return self._provider_manager.get_first_provider_first_model(tenant_id, model_type) + def get_default_model_instance(self, tenant_id: str, model_type: ModelType) -> ModelInstance: """ Get default model instance @@ -502,7 +511,6 @@ class LBModelManager: config.id ) - res = redis_client.exists(cooldown_cache_key) res = cast(bool, res) return res diff --git a/api/core/model_runtime/model_providers/__base/ai_model.py b/api/core/model_runtime/model_providers/__base/ai_model.py index 0de216bf89..716bb63566 100644 --- a/api/core/model_runtime/model_providers/__base/ai_model.py +++ b/api/core/model_runtime/model_providers/__base/ai_model.py @@ -151,9 +151,9 @@ class AIModel(ABC): os.path.join(provider_model_type_path, model_schema_yaml) for model_schema_yaml in os.listdir(provider_model_type_path) if not model_schema_yaml.startswith('__') - and not model_schema_yaml.startswith('_') - and os.path.isfile(os.path.join(provider_model_type_path, model_schema_yaml)) - and model_schema_yaml.endswith('.yaml') + and not model_schema_yaml.startswith('_') + and os.path.isfile(os.path.join(provider_model_type_path, model_schema_yaml)) + and model_schema_yaml.endswith('.yaml') ] # get _position.yaml file path diff --git a/api/core/model_runtime/model_providers/model_provider_factory.py b/api/core/model_runtime/model_providers/model_provider_factory.py index b1660afafb..e2d17e3257 100644 --- a/api/core/model_runtime/model_providers/model_provider_factory.py +++ b/api/core/model_runtime/model_providers/model_provider_factory.py @@ -6,7 +6,7 @@ from typing import Optional from pydantic import BaseModel, ConfigDict from core.helper.module_import_helper import load_single_subclass_from_source -from core.helper.position_helper import get_position_map, sort_to_dict_by_position_map +from core.helper.position_helper import get_provider_position_map, sort_to_dict_by_position_map from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.entities.provider_entities import ProviderConfig, ProviderEntity, SimpleProviderEntity from core.model_runtime.model_providers.__base.model_provider import ModelProvider @@ -234,7 +234,7 @@ class ModelProviderFactory: ] # get _position.yaml file path - position_map = get_position_map(model_providers_path) + position_map = get_provider_position_map(model_providers_path) # traverse all model_provider_dir_paths model_providers: list[ModelProviderExtension] = [] diff --git a/api/core/provider_manager.py b/api/core/provider_manager.py index 65a4cada88..6c68cee7be 100644 --- a/api/core/provider_manager.py +++ b/api/core/provider_manager.py @@ -5,6 +5,7 @@ from typing import Optional from sqlalchemy.exc import IntegrityError +from configs import dify_config from core.entities.model_entities import DefaultModelEntity, DefaultModelProviderEntity from core.entities.provider_configuration import ProviderConfiguration, ProviderConfigurations, ProviderModelBundle from core.entities.provider_entities import ( @@ -18,12 +19,9 @@ from core.entities.provider_entities import ( ) from core.helper import encrypter from core.helper.model_provider_cache import ProviderCredentialsCache, ProviderCredentialsCacheType +from core.helper.position_helper import is_filtered from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.entities.provider_entities import ( - CredentialFormSchema, - FormType, - ProviderEntity, -) +from core.model_runtime.entities.provider_entities import CredentialFormSchema, FormType, ProviderEntity from core.model_runtime.model_providers import model_provider_factory from extensions import ext_hosting_provider from extensions.ext_database import db @@ -45,6 +43,7 @@ class ProviderManager: """ ProviderManager is a class that manages the model providers includes Hosting and Customize Model Providers. """ + def __init__(self) -> None: self.decoding_rsa_key = None self.decoding_cipher_rsa = None @@ -117,6 +116,16 @@ class ProviderManager: # Construct ProviderConfiguration objects for each provider for provider_entity in provider_entities: + + # handle include, exclude + if is_filtered( + include_set=dify_config.POSITION_PROVIDER_INCLUDES_SET, + exclude_set=dify_config.POSITION_PROVIDER_EXCLUDES_SET, + data=provider_entity, + name_func=lambda x: x.provider, + ): + continue + provider_name = provider_entity.provider provider_records = provider_name_to_provider_records_dict.get(provider_entity.provider, []) provider_model_records = provider_name_to_provider_model_records_dict.get(provider_entity.provider, []) @@ -271,6 +280,24 @@ class ProviderManager: ) ) + def get_first_provider_first_model(self, tenant_id: str, model_type: ModelType) -> tuple[str, str]: + """ + Get names of first model and its provider + + :param tenant_id: workspace id + :param model_type: model type + :return: provider name, model name + """ + provider_configurations = self.get_configurations(tenant_id) + + # get available models from provider_configurations + all_models = provider_configurations.get_models( + model_type=model_type, + only_active=False + ) + + return all_models[0].provider.provider, all_models[0].model + def update_default_model_record(self, tenant_id: str, model_type: ModelType, provider: str, model: str) \ -> TenantDefaultModel: """ diff --git a/api/core/tools/provider/builtin/_positions.py b/api/core/tools/provider/builtin/_positions.py index ae806eaff4..062668fc5b 100644 --- a/api/core/tools/provider/builtin/_positions.py +++ b/api/core/tools/provider/builtin/_positions.py @@ -1,6 +1,6 @@ import os.path -from core.helper.position_helper import get_position_map, sort_by_position_map +from core.helper.position_helper import get_tool_position_map, sort_by_position_map from core.tools.entities.api_entities import UserToolProvider @@ -10,11 +10,11 @@ class BuiltinToolProviderSort: @classmethod def sort(cls, providers: list[UserToolProvider]) -> list[UserToolProvider]: if not cls._position: - cls._position = get_position_map(os.path.join(os.path.dirname(__file__), '..')) + cls._position = get_tool_position_map(os.path.join(os.path.dirname(__file__), '..')) def name_func(provider: UserToolProvider) -> str: return provider.name sorted_providers = sort_by_position_map(cls._position, providers, name_func) - return sorted_providers \ No newline at end of file + return sorted_providers diff --git a/api/core/tools/tool_manager.py b/api/core/tools/tool_manager.py index d7ddb40e6b..4a0188af49 100644 --- a/api/core/tools/tool_manager.py +++ b/api/core/tools/tool_manager.py @@ -10,14 +10,11 @@ from configs import dify_config from core.agent.entities import AgentToolEntity from core.app.entities.app_invoke_entities import InvokeFrom from core.helper.module_import_helper import load_single_subclass_from_source +from core.helper.position_helper import is_filtered from core.model_runtime.utils.encoders import jsonable_encoder from core.tools.entities.api_entities import UserToolProvider, UserToolProviderTypeLiteral from core.tools.entities.common_entities import I18nObject -from core.tools.entities.tool_entities import ( - ApiProviderAuthType, - ToolInvokeFrom, - ToolParameter, -) +from core.tools.entities.tool_entities import ApiProviderAuthType, ToolInvokeFrom, ToolParameter from core.tools.errors import ToolProviderNotFoundError from core.tools.provider.api_tool_provider import ApiToolProviderController from core.tools.provider.builtin._positions import BuiltinToolProviderSort @@ -26,10 +23,7 @@ from core.tools.tool.api_tool import ApiTool from core.tools.tool.builtin_tool import BuiltinTool from core.tools.tool.tool import Tool from core.tools.tool_label_manager import ToolLabelManager -from core.tools.utils.configuration import ( - ToolConfigurationManager, - ToolParameterConfigurationManager, -) +from core.tools.utils.configuration import ToolConfigurationManager, ToolParameterConfigurationManager from core.tools.utils.tool_parameter_converter import ToolParameterConverter from core.workflow.nodes.tool.entities import ToolEntity from extensions.ext_database import db @@ -38,6 +32,7 @@ from services.tools.tools_transform_service import ToolTransformService logger = logging.getLogger(__name__) + class ToolManager: _builtin_provider_lock = Lock() _builtin_providers = {} @@ -107,7 +102,7 @@ class ToolManager: tenant_id: str, invoke_from: InvokeFrom = InvokeFrom.DEBUGGER, tool_invoke_from: ToolInvokeFrom = ToolInvokeFrom.AGENT) \ - -> Union[BuiltinTool, ApiTool]: + -> Union[BuiltinTool, ApiTool]: """ get the tool runtime @@ -346,7 +341,7 @@ class ToolManager: provider_class = load_single_subclass_from_source( module_name=f'core.tools.provider.builtin.{provider}.{provider}', script_path=path.join(path.dirname(path.realpath(__file__)), - 'provider', 'builtin', provider, f'{provider}.py'), + 'provider', 'builtin', provider, f'{provider}.py'), parent_type=BuiltinToolProviderController) provider: BuiltinToolProviderController = provider_class() cls._builtin_providers[provider.identity.name] = provider @@ -414,6 +409,15 @@ class ToolManager: # append builtin providers for provider in builtin_providers: + # handle include, exclude + if is_filtered( + include_set=dify_config.POSITION_TOOL_INCLUDES_SET, + exclude_set=dify_config.POSITION_TOOL_EXCLUDES_SET, + data=provider, + name_func=lambda x: x.identity.name + ): + continue + user_provider = ToolTransformService.builtin_provider_to_user_provider( provider_controller=provider, db_provider=find_db_builtin_provider(provider.identity.name), @@ -473,7 +477,7 @@ class ToolManager: @classmethod def get_api_provider_controller(cls, tenant_id: str, provider_id: str) -> tuple[ - ApiToolProviderController, dict[str, Any]]: + ApiToolProviderController, dict[str, Any]]: """ get the api provider @@ -593,4 +597,5 @@ class ToolManager: else: raise ValueError(f"provider type {provider_type} not found") + ToolManager.load_builtin_providers_cache() diff --git a/api/services/app_service.py b/api/services/app_service.py index f33ef9b001..93f7169c1f 100644 --- a/api/services/app_service.py +++ b/api/services/app_service.py @@ -111,6 +111,12 @@ class AppService: 'completion_params': {} } else: + provider, model = model_manager.get_default_provider_model_name( + tenant_id=account.current_tenant_id, + model_type=ModelType.LLM + ) + default_model_config['model']['provider'] = provider + default_model_config['model']['name'] = model default_model_dict = default_model_config['model'] default_model_config['model'] = json.dumps(default_model_dict) @@ -190,13 +196,14 @@ class AppService: """ Modified App class """ + def __init__(self, app): self.__dict__.update(app.__dict__) @property def app_model_config(self): return model_config - + app = ModifiedApp(app) return app diff --git a/api/services/model_provider_service.py b/api/services/model_provider_service.py index 385af685f9..86c059fe90 100644 --- a/api/services/model_provider_service.py +++ b/api/services/model_provider_service.py @@ -30,6 +30,7 @@ class ModelProviderService: """ Model Provider Service """ + def __init__(self) -> None: self.provider_manager = ProviderManager() @@ -387,18 +388,21 @@ class ModelProviderService: tenant_id=tenant_id, model_type=model_type_enum ) - - return DefaultModelResponse( - model=result.model, - model_type=result.model_type, - provider=SimpleProviderEntityResponse( - provider=result.provider.provider, - label=result.provider.label, - icon_small=result.provider.icon_small, - icon_large=result.provider.icon_large, - supported_model_types=result.provider.supported_model_types - ) - ) if result else None + try: + return DefaultModelResponse( + model=result.model, + model_type=result.model_type, + provider=SimpleProviderEntityResponse( + provider=result.provider.provider, + label=result.provider.label, + icon_small=result.provider.icon_small, + icon_large=result.provider.icon_large, + supported_model_types=result.provider.supported_model_types + ) + ) if result else None + except Exception as e: + logger.info(f"get_default_model_of_model_type error: {e}") + return None def update_default_model_of_model_type(self, tenant_id: str, model_type: str, provider: str, model: str) -> None: """ diff --git a/api/services/tools/builtin_tools_manage_service.py b/api/services/tools/builtin_tools_manage_service.py index ea6ecf0c69..ebadbd9be0 100644 --- a/api/services/tools/builtin_tools_manage_service.py +++ b/api/services/tools/builtin_tools_manage_service.py @@ -1,6 +1,8 @@ import json import logging +from configs import dify_config +from core.helper.position_helper import is_filtered from core.model_runtime.utils.encoders import jsonable_encoder from core.tools.entities.api_entities import UserTool, UserToolProvider from core.tools.errors import ToolNotFoundError, ToolProviderCredentialValidationError, ToolProviderNotFoundError @@ -43,14 +45,14 @@ class BuiltinToolManageService: result = [] for tool in tools: result.append(ToolTransformService.tool_to_user_tool( - tool=tool, - credentials=credentials, + tool=tool, + credentials=credentials, tenant_id=tenant_id, labels=ToolLabelManager.get_tool_labels(provider_controller) )) return result - + @staticmethod def list_builtin_provider_credentials_schema( provider_name @@ -78,7 +80,7 @@ class BuiltinToolManageService: BuiltinToolProvider.provider == provider_name, ).first() - try: + try: # get provider provider_controller = ToolManager.get_builtin_provider(provider_name) if not provider_controller.need_credentials: @@ -119,8 +121,8 @@ class BuiltinToolManageService: # delete cache tool_configuration.delete_tool_credentials_cache() - return { 'result': 'success' } - + return {'result': 'success'} + @staticmethod def get_builtin_tool_provider_credentials( user_id: str, tenant_id: str, provider: str @@ -135,7 +137,7 @@ class BuiltinToolManageService: if provider is None: return {} - + provider_controller = ToolManager.get_builtin_provider(provider.provider) tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=provider_controller) credentials = tool_configuration.decrypt_tool_credentials(provider.credentials) @@ -156,7 +158,7 @@ class BuiltinToolManageService: if provider is None: raise ValueError(f'you have not added provider {provider_name}') - + db.session.delete(provider) db.session.commit() @@ -165,8 +167,8 @@ class BuiltinToolManageService: tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=provider_controller) tool_configuration.delete_tool_credentials_cache() - return { 'result': 'success' } - + return {'result': 'success'} + @staticmethod def get_builtin_tool_provider_icon( provider: str @@ -179,7 +181,7 @@ class BuiltinToolManageService: icon_bytes = f.read() return icon_bytes, mime_type - + @staticmethod def list_builtin_tools( user_id: str, tenant_id: str @@ -202,6 +204,15 @@ class BuiltinToolManageService: for provider_controller in provider_controllers: try: + # handle include, exclude + if is_filtered( + include_set=dify_config.POSITION_TOOL_INCLUDES_SET, + exclude_set=dify_config.POSITION_TOOL_EXCLUDES_SET, + data=provider_controller, + name_func=lambda x: x.identity.name + ): + continue + # convert provider controller to user provider user_builtin_provider = ToolTransformService.builtin_provider_to_user_provider( provider_controller=provider_controller, @@ -226,4 +237,3 @@ class BuiltinToolManageService: raise e return BuiltinToolProviderSort.sort(result) - \ No newline at end of file diff --git a/api/tests/unit_tests/utils/position_helper/test_position_helper.py b/api/tests/unit_tests/utils/position_helper/test_position_helper.py index 2237319904..1235e559c9 100644 --- a/api/tests/unit_tests/utils/position_helper/test_position_helper.py +++ b/api/tests/unit_tests/utils/position_helper/test_position_helper.py @@ -2,7 +2,7 @@ from textwrap import dedent import pytest -from core.helper.position_helper import get_position_map +from core.helper.position_helper import get_position_map, is_filtered, pin_position_map, sort_by_position_map @pytest.fixture @@ -14,7 +14,7 @@ def prepare_example_positions_yaml(tmp_path, monkeypatch) -> str: - second # - commented - third - + - 9999999999999 - forth """)) @@ -28,9 +28,9 @@ def prepare_empty_commented_positions_yaml(tmp_path, monkeypatch) -> str: """\ # - commented1 # - commented2 - - - - - + - + - + """)) return str(tmp_path) @@ -53,3 +53,79 @@ def test_position_helper_with_all_commented(prepare_empty_commented_positions_ya folder_path=prepare_empty_commented_positions_yaml, file_name='example_positions_all_commented.yaml') assert position_map == {} + + +def test_excluded_position_data(prepare_example_positions_yaml): + position_map = get_position_map( + folder_path=prepare_example_positions_yaml, + file_name='example_positions.yaml' + ) + pin_list = ['forth', 'first'] + include_set = set() + exclude_set = {'9999999999999'} + + position_map = pin_position_map( + original_position_map=position_map, + pin_list=pin_list + ) + + data = [ + "forth", + "first", + "second", + "third", + "9999999999999", + "extra1", + "extra2", + ] + + # filter out the data + data = [item for item in data if not is_filtered(include_set, exclude_set, item, lambda x: x)] + + # sort data by position map + sorted_data = sort_by_position_map( + position_map=position_map, + data=data, + name_func=lambda x: x, + ) + + # assert the result in the correct order + assert sorted_data == ['forth', 'first', 'second', 'third', 'extra1', 'extra2'] + + +def test_included_position_data(prepare_example_positions_yaml): + position_map = get_position_map( + folder_path=prepare_example_positions_yaml, + file_name='example_positions.yaml' + ) + pin_list = ['forth', 'first'] + include_set = {'forth', 'first'} + exclude_set = {} + + position_map = pin_position_map( + original_position_map=position_map, + pin_list=pin_list + ) + + data = [ + "forth", + "first", + "second", + "third", + "9999999999999", + "extra1", + "extra2", + ] + + # filter out the data + data = [item for item in data if not is_filtered(include_set, exclude_set, item, lambda x: x)] + + # sort data by position map + sorted_data = sort_by_position_map( + position_map=position_map, + data=data, + name_func=lambda x: x, + ) + + # assert the result in the correct order + assert sorted_data == ['forth', 'first'] diff --git a/docker/.env.example b/docker/.env.example index 03e1e4e50e..ed9621854a 100644 --- a/docker/.env.example +++ b/docker/.env.example @@ -701,3 +701,22 @@ COMPOSE_PROFILES=${VECTOR_STORE:-weaviate} # ------------------------------ EXPOSE_NGINX_PORT=80 EXPOSE_NGINX_SSL_PORT=443 + +# ---------------------------------------------------------------------------- +# ModelProvider & Tool Position Configuration +# Used to specify the model providers and tools that can be used in the app. +# ---------------------------------------------------------------------------- + +# Pin, include, and exclude tools +# Use comma-separated values with no spaces between items. +# Example: POSITION_TOOL_PINS=bing,google +POSITION_TOOL_PINS= +POSITION_TOOL_INCLUDES= +POSITION_TOOL_EXCLUDES= + +# Pin, include, and exclude model providers +# Use comma-separated values with no spaces between items. +# Example: POSITION_PROVIDER_PINS=openai,openllm +POSITION_PROVIDER_PINS= +POSITION_PROVIDER_INCLUDES= +POSITION_PROVIDER_EXCLUDES= \ No newline at end of file From 6435b4eb443911f688891f6b211ef68194a47ca8 Mon Sep 17 00:00:00 2001 From: hisir Date: Wed, 21 Aug 2024 12:48:25 +0800 Subject: [PATCH 018/164] Separate CODE_MAX_DEPTH and set it as an environment variable (#7474) --- api/configs/app_config.py | 1 + api/core/workflow/nodes/code/code_node.py | 2 +- docker/.env.example | 1 + docker/docker-compose.yaml | 1 + 4 files changed, 4 insertions(+), 1 deletion(-) diff --git a/api/configs/app_config.py b/api/configs/app_config.py index b277760edd..c902138595 100644 --- a/api/configs/app_config.py +++ b/api/configs/app_config.py @@ -37,6 +37,7 @@ class DifyConfig( CODE_MAX_NUMBER: int = 9223372036854775807 CODE_MIN_NUMBER: int = -9223372036854775808 + CODE_MAX_DEPTH: int = 5 CODE_MAX_STRING_LENGTH: int = 80000 CODE_MAX_STRING_ARRAY_LENGTH: int = 30 CODE_MAX_OBJECT_ARRAY_LENGTH: int = 30 diff --git a/api/core/workflow/nodes/code/code_node.py b/api/core/workflow/nodes/code/code_node.py index 60678bc2ba..4a010623f9 100644 --- a/api/core/workflow/nodes/code/code_node.py +++ b/api/core/workflow/nodes/code/code_node.py @@ -14,7 +14,7 @@ from models.workflow import WorkflowNodeExecutionStatus MAX_NUMBER = dify_config.CODE_MAX_NUMBER MIN_NUMBER = dify_config.CODE_MIN_NUMBER MAX_PRECISION = 20 -MAX_DEPTH = 5 +MAX_DEPTH = dify_config.CODE_MAX_DEPTH MAX_STRING_LENGTH = dify_config.CODE_MAX_STRING_LENGTH MAX_STRING_ARRAY_LENGTH = dify_config.CODE_MAX_STRING_ARRAY_LENGTH MAX_OBJECT_ARRAY_LENGTH = dify_config.CODE_MAX_OBJECT_ARRAY_LENGTH diff --git a/docker/.env.example b/docker/.env.example index ed9621854a..f530f27a47 100644 --- a/docker/.env.example +++ b/docker/.env.example @@ -514,6 +514,7 @@ RESET_PASSWORD_TOKEN_EXPIRY_HOURS=24 CODE_EXECUTION_ENDPOINT=http://sandbox:8194 CODE_MAX_NUMBER=9223372036854775807 CODE_MIN_NUMBER=-9223372036854775808 +CODE_MAX_DEPTH=5 CODE_MAX_STRING_LENGTH=80000 TEMPLATE_TRANSFORM_MAX_LENGTH=80000 CODE_MAX_STRING_ARRAY_LENGTH=30 diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index aea16e3817..b9fa5e6786 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -177,6 +177,7 @@ x-shared-env: &shared-api-worker-env CODE_EXECUTION_API_KEY: ${SANDBOX_API_KEY:-dify-sandbox} CODE_MAX_NUMBER: ${CODE_MAX_NUMBER:-9223372036854775807} CODE_MIN_NUMBER: ${CODE_MIN_NUMBER:--9223372036854775808} + CODE_MAX_DEPTH: ${CODE_MAX_DEPTH:-5} CODE_MAX_STRING_LENGTH: ${CODE_MAX_STRING_LENGTH:-80000} TEMPLATE_TRANSFORM_MAX_LENGTH: ${TEMPLATE_TRANSFORM_MAX_LENGTH:-80000} CODE_MAX_STRING_ARRAY_LENGTH: ${CODE_MAX_STRING_ARRAY_LENGTH:-30} From 66dfb5c89a5dc06ae522a8d6334e8640372dad6d Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=9D=9E=E6=B3=95=E6=93=8D=E4=BD=9C?= Date: Wed, 21 Aug 2024 14:58:14 +0800 Subject: [PATCH 019/164] fix: json schema not saved correctly (#7487) --- .../model-parameter-modal/parameter-item.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/parameter-item.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/parameter-item.tsx index eced2a8082..a9834ad422 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/parameter-item.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/parameter-item.tsx @@ -41,7 +41,7 @@ const ParameterItem: FC = ({ if (parameterRule.type === 'int' || parameterRule.type === 'float') defaultValue = isNullOrUndefined(parameterRule.default) ? (parameterRule.min || 0) : parameterRule.default - else if (parameterRule.type === 'string') + else if (parameterRule.type === 'string' || parameterRule.type === 'text') defaultValue = parameterRule.options?.length ? (parameterRule.default || '') : (parameterRule.default || '') else if (parameterRule.type === 'boolean') defaultValue = !isNullOrUndefined(parameterRule.default) ? parameterRule.default : false From 0c99a3d0c57e876021b3fd8c152134a684f17794 Mon Sep 17 00:00:00 2001 From: Xiao Ley Date: Wed, 21 Aug 2024 15:09:05 +0800 Subject: [PATCH 020/164] fix the issue of the refine_switches at param being invalid in the Novita.AI tool (#7485) --- .../builtin/novitaai/_novita_tool_base.py | 73 + .../novitaai/tools/novitaai_txt2img.py | 68 +- api/poetry.lock | 1556 +++++++++-------- api/pyproject.toml | 2 +- 4 files changed, 890 insertions(+), 809 deletions(-) create mode 100644 api/core/tools/provider/builtin/novitaai/_novita_tool_base.py diff --git a/api/core/tools/provider/builtin/novitaai/_novita_tool_base.py b/api/core/tools/provider/builtin/novitaai/_novita_tool_base.py new file mode 100644 index 0000000000..b753be4791 --- /dev/null +++ b/api/core/tools/provider/builtin/novitaai/_novita_tool_base.py @@ -0,0 +1,73 @@ +from novita_client import ( + Txt2ImgV3Embedding, + Txt2ImgV3HiresFix, + Txt2ImgV3LoRA, + Txt2ImgV3Refiner, + V3TaskImage, +) + + +class NovitaAiToolBase: + def _extract_loras(self, loras_str: str): + if not loras_str: + return [] + + loras_ori_list = lora_str.strip().split(';') + result_list = [] + for lora_str in loras_ori_list: + lora_info = lora_str.strip().split(',') + lora = Txt2ImgV3LoRA( + model_name=lora_info[0].strip(), + strength=float(lora_info[1]), + ) + result_list.append(lora) + + return result_list + + def _extract_embeddings(self, embeddings_str: str): + if not embeddings_str: + return [] + + embeddings_ori_list = embeddings_str.strip().split(';') + result_list = [] + for embedding_str in embeddings_ori_list: + embedding = Txt2ImgV3Embedding( + model_name=embedding_str.strip() + ) + result_list.append(embedding) + + return result_list + + def _extract_hires_fix(self, hires_fix_str: str): + hires_fix_info = hires_fix_str.strip().split(',') + if 'upscaler' in hires_fix_info: + hires_fix = Txt2ImgV3HiresFix( + target_width=int(hires_fix_info[0]), + target_height=int(hires_fix_info[1]), + strength=float(hires_fix_info[2]), + upscaler=hires_fix_info[3].strip() + ) + else: + hires_fix = Txt2ImgV3HiresFix( + target_width=int(hires_fix_info[0]), + target_height=int(hires_fix_info[1]), + strength=float(hires_fix_info[2]) + ) + + return hires_fix + + def _extract_refiner(self, switch_at: str): + refiner = Txt2ImgV3Refiner( + switch_at=float(switch_at) + ) + return refiner + + def _is_hit_nsfw_detection(self, image: V3TaskImage, confidence_threshold: float) -> bool: + """ + is hit nsfw + """ + if image.nsfw_detection_result is None: + return False + if image.nsfw_detection_result.valid and image.nsfw_detection_result.confidence >= confidence_threshold: + return True + return False diff --git a/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.py b/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.py index c9524d6a66..5fef3d2da7 100644 --- a/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.py +++ b/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.py @@ -4,19 +4,15 @@ from typing import Any, Union from novita_client import ( NovitaClient, - Txt2ImgV3Embedding, - Txt2ImgV3HiresFix, - Txt2ImgV3LoRA, - Txt2ImgV3Refiner, - V3TaskImage, ) from core.tools.entities.tool_entities import ToolInvokeMessage from core.tools.errors import ToolProviderCredentialValidationError +from core.tools.provider.builtin.novitaai._novita_tool_base import NovitaAiToolBase from core.tools.tool.builtin_tool import BuiltinTool -class NovitaAiTxt2ImgTool(BuiltinTool): +class NovitaAiTxt2ImgTool(BuiltinTool, NovitaAiToolBase): def _invoke(self, user_id: str, tool_parameters: dict[str, Any], @@ -73,65 +69,19 @@ class NovitaAiTxt2ImgTool(BuiltinTool): # process loras if 'loras' in res_parameters: - loras_ori_list = res_parameters.get('loras').strip().split(';') - locals_list = [] - for lora_str in loras_ori_list: - lora_info = lora_str.strip().split(',') - lora = Txt2ImgV3LoRA( - model_name=lora_info[0].strip(), - strength=float(lora_info[1]), - ) - locals_list.append(lora) - - res_parameters['loras'] = locals_list + res_parameters['loras'] = self._extract_loras(res_parameters.get('loras')) # process embeddings if 'embeddings' in res_parameters: - embeddings_ori_list = res_parameters.get('embeddings').strip().split(';') - locals_list = [] - for embedding_str in embeddings_ori_list: - embedding = Txt2ImgV3Embedding( - model_name=embedding_str.strip() - ) - locals_list.append(embedding) - - res_parameters['embeddings'] = locals_list + res_parameters['embeddings'] = self._extract_embeddings(res_parameters.get('embeddings')) # process hires_fix if 'hires_fix' in res_parameters: - hires_fix_ori = res_parameters.get('hires_fix') - hires_fix_info = hires_fix_ori.strip().split(',') - if 'upscaler' in hires_fix_info: - hires_fix = Txt2ImgV3HiresFix( - target_width=int(hires_fix_info[0]), - target_height=int(hires_fix_info[1]), - strength=float(hires_fix_info[2]), - upscaler=hires_fix_info[3].strip() - ) - else: - hires_fix = Txt2ImgV3HiresFix( - target_width=int(hires_fix_info[0]), - target_height=int(hires_fix_info[1]), - strength=float(hires_fix_info[2]) - ) + res_parameters['hires_fix'] = self._extract_hires_fix(res_parameters.get('hires_fix')) - res_parameters['hires_fix'] = hires_fix - - if 'refiner_switch_at' in res_parameters: - refiner = Txt2ImgV3Refiner( - switch_at=float(res_parameters.get('refiner_switch_at')) - ) - del res_parameters['refiner_switch_at'] - res_parameters['refiner'] = refiner + # process refiner + if 'refiner_switch_at' in res_parameters: + res_parameters['refiner'] = self._extract_refiner(res_parameters.get('refiner_switch_at')) + del res_parameters['refiner_switch_at'] return res_parameters - - def _is_hit_nsfw_detection(self, image: V3TaskImage, 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-9387,13 +9445,13 @@ requests = "*" [[package]] name = "zipp" -version = "3.19.2" +version = "3.20.0" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.8" files = [ - {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"}, - {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"}, + {file = "zipp-3.20.0-py3-none-any.whl", hash = "sha256:58da6168be89f0be59beb194da1250516fdaa062ccebd30127ac65d30045e10d"}, + {file = "zipp-3.20.0.tar.gz", hash = "sha256:0145e43d89664cfe1a2e533adc75adafed82fe2da404b4bbb6b026c0157bdb31"}, ] [package.extras] @@ -9584,4 +9642,4 @@ cffi = ["cffi (>=1.11)"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.13" -content-hash = "a74c7b6a72145d5074aa84581df6e543ea422810caf0ba1561cd2d35497243ca" +content-hash = "d82b0af7ec92f91035cd0c69741f7b749cce94198d598eac431ee746b9daf4f4" diff --git a/api/pyproject.toml b/api/pyproject.toml index 82ccd0b202..22c1e9f3a7 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -153,7 +153,7 @@ langfuse = "^2.36.1" langsmith = "^0.1.77" mailchimp-transactional = "~1.0.50" markdown = "~3.5.1" -novita-client = "^0.5.6" +novita-client = "^0.5.7" numpy = "~1.26.4" openai = "~1.29.0" openpyxl = "~3.1.5" From f7af8c7cc785b68e80bd16a308e22dc24f960641 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=9D=9E=E6=B3=95=E6=93=8D=E4=BD=9C?= Date: Wed, 21 Aug 2024 15:11:29 +0800 Subject: [PATCH 021/164] feat: gpt-4o-mini-2024-07-18 support json schema (#7489) --- .../model_providers/openai/llm/gpt-4o-mini-2024-07-18.yaml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-mini-2024-07-18.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4o-mini-2024-07-18.yaml index 6f23e0647d..03e28772e6 100644 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-mini-2024-07-18.yaml +++ b/api/core/model_runtime/model_providers/openai/llm/gpt-4o-mini-2024-07-18.yaml @@ -37,6 +37,9 @@ parameter_rules: options: - text - json_object + - json_schema + - name: json_schema + use_template: json_schema pricing: input: '0.15' output: '0.60' From 85fc0fdb51e38c1c9efae0d3556393b098d64853 Mon Sep 17 00:00:00 2001 From: Nam Vu Date: Wed, 21 Aug 2024 14:11:56 +0700 Subject: [PATCH 022/164] chore: support CODE_MAX_PRECISION (#7484) --- api/configs/app_config.py | 1 + api/core/workflow/nodes/code/code_node.py | 2 +- docker/.env.example | 1 + docker/docker-compose.yaml | 1 + 4 files changed, 4 insertions(+), 1 deletion(-) diff --git a/api/configs/app_config.py b/api/configs/app_config.py index c902138595..494e256442 100644 --- a/api/configs/app_config.py +++ b/api/configs/app_config.py @@ -38,6 +38,7 @@ class DifyConfig( CODE_MAX_NUMBER: int = 9223372036854775807 CODE_MIN_NUMBER: int = -9223372036854775808 CODE_MAX_DEPTH: int = 5 + CODE_MAX_PRECISION: int = 20 CODE_MAX_STRING_LENGTH: int = 80000 CODE_MAX_STRING_ARRAY_LENGTH: int = 30 CODE_MAX_OBJECT_ARRAY_LENGTH: int = 30 diff --git a/api/core/workflow/nodes/code/code_node.py b/api/core/workflow/nodes/code/code_node.py index 4a010623f9..bc3271dd8b 100644 --- a/api/core/workflow/nodes/code/code_node.py +++ b/api/core/workflow/nodes/code/code_node.py @@ -13,7 +13,7 @@ from models.workflow import WorkflowNodeExecutionStatus MAX_NUMBER = dify_config.CODE_MAX_NUMBER MIN_NUMBER = dify_config.CODE_MIN_NUMBER -MAX_PRECISION = 20 +MAX_PRECISION = dify_config.CODE_MAX_PRECISION MAX_DEPTH = dify_config.CODE_MAX_DEPTH MAX_STRING_LENGTH = dify_config.CODE_MAX_STRING_LENGTH MAX_STRING_ARRAY_LENGTH = dify_config.CODE_MAX_STRING_ARRAY_LENGTH diff --git a/docker/.env.example b/docker/.env.example index f530f27a47..7233c4e671 100644 --- a/docker/.env.example +++ b/docker/.env.example @@ -515,6 +515,7 @@ CODE_EXECUTION_ENDPOINT=http://sandbox:8194 CODE_MAX_NUMBER=9223372036854775807 CODE_MIN_NUMBER=-9223372036854775808 CODE_MAX_DEPTH=5 +CODE_MAX_PRECISION=20 CODE_MAX_STRING_LENGTH=80000 TEMPLATE_TRANSFORM_MAX_LENGTH=80000 CODE_MAX_STRING_ARRAY_LENGTH=30 diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index b9fa5e6786..95809a707e 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -178,6 +178,7 @@ x-shared-env: &shared-api-worker-env CODE_MAX_NUMBER: ${CODE_MAX_NUMBER:-9223372036854775807} CODE_MIN_NUMBER: ${CODE_MIN_NUMBER:--9223372036854775808} CODE_MAX_DEPTH: ${CODE_MAX_DEPTH:-5} + CODE_MAX_PRECISION: ${CODE_MAX_PRECISION:-20} CODE_MAX_STRING_LENGTH: ${CODE_MAX_STRING_LENGTH:-80000} TEMPLATE_TRANSFORM_MAX_LENGTH: ${TEMPLATE_TRANSFORM_MAX_LENGTH:-80000} CODE_MAX_STRING_ARRAY_LENGTH: ${CODE_MAX_STRING_ARRAY_LENGTH:-30} From a02118d5bcd0d552c45c9e7005014c113cff5c1c Mon Sep 17 00:00:00 2001 From: Yeuoly <45712896+Yeuoly@users.noreply.github.com> Date: Wed, 21 Aug 2024 15:31:13 +0800 Subject: [PATCH 023/164] Fix/incorrect code template (#7490) --- api/core/helper/code_executor/code_executor.py | 6 +++--- .../helper/code_executor/python3/python3_code_provider.py | 2 +- api/core/workflow/nodes/code/code_node.py | 5 ++--- 3 files changed, 6 insertions(+), 7 deletions(-) diff --git a/api/core/helper/code_executor/code_executor.py b/api/core/helper/code_executor/code_executor.py index afb2bbbbf3..264a246058 100644 --- a/api/core/helper/code_executor/code_executor.py +++ b/api/core/helper/code_executor/code_executor.py @@ -4,7 +4,7 @@ from enum import Enum from threading import Lock from typing import Literal, Optional -from httpx import get, post +from httpx import Timeout, get, post from pydantic import BaseModel from yarl import URL @@ -21,7 +21,7 @@ logger = logging.getLogger(__name__) CODE_EXECUTION_ENDPOINT = dify_config.CODE_EXECUTION_ENDPOINT CODE_EXECUTION_API_KEY = dify_config.CODE_EXECUTION_API_KEY -CODE_EXECUTION_TIMEOUT = (10, 60) +CODE_EXECUTION_TIMEOUT = Timeout(connect=10, write=10, read=60, pool=None) class CodeExecutionException(Exception): pass @@ -116,7 +116,7 @@ class CodeExecutor: if response.data.error: raise CodeExecutionException(response.data.error) - return response.data.stdout + return response.data.stdout or '' @classmethod def execute_workflow_code_template(cls, language: CodeLanguage, code: str, inputs: dict, dependencies: Optional[list[CodeDependency]] = None) -> dict: diff --git a/api/core/helper/code_executor/python3/python3_code_provider.py b/api/core/helper/code_executor/python3/python3_code_provider.py index efcb8a9d1e..923724b49d 100644 --- a/api/core/helper/code_executor/python3/python3_code_provider.py +++ b/api/core/helper/code_executor/python3/python3_code_provider.py @@ -13,7 +13,7 @@ class Python3CodeProvider(CodeNodeProvider): def get_default_code(cls) -> str: return dedent( """ - def main(arg1: int, arg2: int) -> dict: + def main(arg1: str, arg2: str) -> dict: return { "result": arg1 + arg2, } diff --git a/api/core/workflow/nodes/code/code_node.py b/api/core/workflow/nodes/code/code_node.py index bc3271dd8b..6dd39ca178 100644 --- a/api/core/workflow/nodes/code/code_node.py +++ b/api/core/workflow/nodes/code/code_node.py @@ -23,7 +23,7 @@ MAX_NUMBER_ARRAY_LENGTH = dify_config.CODE_MAX_NUMBER_ARRAY_LENGTH class CodeNode(BaseNode): _node_data_cls = CodeNodeData - node_type = NodeType.CODE + _node_type = NodeType.CODE @classmethod def get_default_config(cls, filters: Optional[dict] = None) -> dict: @@ -48,8 +48,7 @@ class CodeNode(BaseNode): :param variable_pool: variable pool :return: """ - node_data = self.node_data - node_data: CodeNodeData = cast(self._node_data_cls, node_data) + node_data = cast(CodeNodeData, self.node_data) # Get code language code_language = node_data.code_language From 715eb8fa3222cc80774fe1f65edecfbb2fd21c43 Mon Sep 17 00:00:00 2001 From: Jyong <76649700+JohnJyong@users.noreply.github.com> Date: Wed, 21 Aug 2024 16:42:28 +0800 Subject: [PATCH 024/164] fix rerank mode is none (#7496) --- api/core/app/app_config/easy_ui_based_app/dataset/manager.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/core/app/app_config/easy_ui_based_app/dataset/manager.py b/api/core/app/app_config/easy_ui_based_app/dataset/manager.py index f4e6675bd4..a8eb1f9f76 100644 --- a/api/core/app/app_config/easy_ui_based_app/dataset/manager.py +++ b/api/core/app/app_config/easy_ui_based_app/dataset/manager.py @@ -93,7 +93,7 @@ class DatasetConfigManager: reranking_model=dataset_configs.get('reranking_model'), weights=dataset_configs.get('weights'), reranking_enabled=dataset_configs.get('reranking_enabled', True), - rerank_mode=dataset_configs["reranking_mode"], + rerank_mode=dataset_configs.get('rerank_mode', 'reranking_model'), ) ) From 784b11ce19462e4235e38e9d5a3c62553214c3ad Mon Sep 17 00:00:00 2001 From: Yeuoly <45712896+Yeuoly@users.noreply.github.com> Date: Wed, 21 Aug 2024 16:57:14 +0800 Subject: [PATCH 025/164] Chore/remove python dependencies selector (#7494) --- .../helper/code_executor/code_executor.py | 75 ++------------ .../code_executor/code_node_provider.py | 9 +- api/core/helper/code_executor/entities.py | 6 -- .../code_executor/jinja2/jinja2_formatter.py | 2 +- .../jinja2/jinja2_transformer.py | 5 - .../python3/python3_transformer.py | 24 ----- .../code_executor/template_transformer.py | 19 +--- api/core/workflow/nodes/code/code_node.py | 1 - api/core/workflow/nodes/code/entities.py | 7 +- .../workflow/nodes/__mock/code_executor.py | 5 +- .../code_executor/test_code_javascript.py | 8 -- .../nodes/code_executor/test_code_python3.py | 9 -- .../workflow/nodes/code/dependency-picker.tsx | 97 ------------------- .../workflow/nodes/code/dependency.tsx | 36 ------- .../components/workflow/nodes/code/panel.tsx | 31 ------ .../components/workflow/nodes/code/types.ts | 6 -- .../workflow/nodes/code/use-config.ts | 69 +------------ 17 files changed, 21 insertions(+), 388 deletions(-) delete mode 100644 api/core/helper/code_executor/entities.py delete mode 100644 web/app/components/workflow/nodes/code/dependency-picker.tsx delete mode 100644 web/app/components/workflow/nodes/code/dependency.tsx diff --git a/api/core/helper/code_executor/code_executor.py b/api/core/helper/code_executor/code_executor.py index 264a246058..a829748b48 100644 --- a/api/core/helper/code_executor/code_executor.py +++ b/api/core/helper/code_executor/code_executor.py @@ -1,15 +1,13 @@ import logging -import time from enum import Enum from threading import Lock -from typing import Literal, Optional +from typing import Optional -from httpx import Timeout, get, post +from httpx import Timeout, post from pydantic import BaseModel from yarl import URL from configs import dify_config -from core.helper.code_executor.entities import CodeDependency from core.helper.code_executor.javascript.javascript_transformer import NodeJsTemplateTransformer from core.helper.code_executor.jinja2.jinja2_transformer import Jinja2TemplateTransformer from core.helper.code_executor.python3.python3_transformer import Python3TemplateTransformer @@ -66,8 +64,7 @@ class CodeExecutor: def execute_code(cls, language: CodeLanguage, preload: str, - code: str, - dependencies: Optional[list[CodeDependency]] = None) -> str: + code: str) -> str: """ Execute code :param language: code language @@ -87,9 +84,6 @@ class CodeExecutor: 'enable_network': True } - if dependencies: - data['dependencies'] = [dependency.model_dump() for dependency in dependencies] - try: response = post(str(url), json=data, headers=headers, timeout=CODE_EXECUTION_TIMEOUT) if response.status_code == 503: @@ -119,7 +113,7 @@ class CodeExecutor: return response.data.stdout or '' @classmethod - def execute_workflow_code_template(cls, language: CodeLanguage, code: str, inputs: dict, dependencies: Optional[list[CodeDependency]] = None) -> dict: + def execute_workflow_code_template(cls, language: CodeLanguage, code: str, inputs: dict) -> dict: """ Execute code :param language: code language @@ -131,67 +125,12 @@ class CodeExecutor: if not template_transformer: raise CodeExecutionException(f'Unsupported language {language}') - runner, preload, dependencies = template_transformer.transform_caller(code, inputs, dependencies) + runner, preload = template_transformer.transform_caller(code, inputs) try: - response = cls.execute_code(language, preload, runner, dependencies) + response = cls.execute_code(language, preload, runner) except CodeExecutionException as e: raise e return template_transformer.transform_response(response) - - @classmethod - def list_dependencies(cls, language: str) -> list[CodeDependency]: - if language not in cls.supported_dependencies_languages: - return [] - - with cls.dependencies_cache_lock: - if language in cls.dependencies_cache: - # check expiration - dependencies = cls.dependencies_cache[language] - if dependencies['expiration'] > time.time(): - return dependencies['data'] - # remove expired cache - del cls.dependencies_cache[language] - - dependencies = cls._get_dependencies(language) - with cls.dependencies_cache_lock: - cls.dependencies_cache[language] = { - 'data': dependencies, - 'expiration': time.time() + 60 - } - - return dependencies - - @classmethod - def _get_dependencies(cls, language: Literal['python3']) -> list[CodeDependency]: - """ - List dependencies - """ - url = URL(CODE_EXECUTION_ENDPOINT) / 'v1' / 'sandbox' / 'dependencies' - - headers = { - 'X-Api-Key': CODE_EXECUTION_API_KEY - } - - running_language = cls.code_language_to_running_language.get(language) - if isinstance(running_language, Enum): - running_language = running_language.value - - data = { - 'language': running_language, - } - - try: - response = get(str(url), params=data, headers=headers, timeout=CODE_EXECUTION_TIMEOUT) - if response.status_code != 200: - raise Exception(f'Failed to list dependencies, got status code {response.status_code}, please check if the sandbox service is running') - response = response.json() - dependencies = response.get('data', {}).get('dependencies', []) - return [ - CodeDependency(**dependency) for dependency in dependencies - if dependency.get('name') not in Python3TemplateTransformer.get_standard_packages() - ] - except Exception as e: - logger.exception(f'Failed to list dependencies: {e}') - return [] \ No newline at end of file + \ No newline at end of file diff --git a/api/core/helper/code_executor/code_node_provider.py b/api/core/helper/code_executor/code_node_provider.py index 761c0e2b25..3f099b7ac5 100644 --- a/api/core/helper/code_executor/code_node_provider.py +++ b/api/core/helper/code_executor/code_node_provider.py @@ -2,8 +2,6 @@ from abc import abstractmethod from pydantic import BaseModel -from core.helper.code_executor.code_executor import CodeExecutor - class CodeNodeProvider(BaseModel): @staticmethod @@ -23,10 +21,6 @@ class CodeNodeProvider(BaseModel): """ pass - @classmethod - def get_default_available_packages(cls) -> list[dict]: - return [p.model_dump() for p in CodeExecutor.list_dependencies(cls.get_language())] - @classmethod def get_default_config(cls) -> dict: return { @@ -50,6 +44,5 @@ class CodeNodeProvider(BaseModel): "children": None } } - }, - "available_dependencies": cls.get_default_available_packages(), + } } diff --git a/api/core/helper/code_executor/entities.py b/api/core/helper/code_executor/entities.py deleted file mode 100644 index cc10288521..0000000000 --- a/api/core/helper/code_executor/entities.py +++ /dev/null @@ -1,6 +0,0 @@ -from pydantic import BaseModel - - -class CodeDependency(BaseModel): - name: str - version: str diff --git a/api/core/helper/code_executor/jinja2/jinja2_formatter.py b/api/core/helper/code_executor/jinja2/jinja2_formatter.py index 63f48a56e2..f1e5da584c 100644 --- a/api/core/helper/code_executor/jinja2/jinja2_formatter.py +++ b/api/core/helper/code_executor/jinja2/jinja2_formatter.py @@ -3,7 +3,7 @@ from core.helper.code_executor.code_executor import CodeExecutor, CodeLanguage class Jinja2Formatter: @classmethod - def format(cls, template: str, inputs: str) -> str: + def format(cls, template: str, inputs: dict) -> str: """ Format template :param template: template diff --git a/api/core/helper/code_executor/jinja2/jinja2_transformer.py b/api/core/helper/code_executor/jinja2/jinja2_transformer.py index a8f8095d52..b8cb29600e 100644 --- a/api/core/helper/code_executor/jinja2/jinja2_transformer.py +++ b/api/core/helper/code_executor/jinja2/jinja2_transformer.py @@ -1,14 +1,9 @@ from textwrap import dedent -from core.helper.code_executor.python3.python3_transformer import Python3TemplateTransformer from core.helper.code_executor.template_transformer import TemplateTransformer class Jinja2TemplateTransformer(TemplateTransformer): - @classmethod - def get_standard_packages(cls) -> set[str]: - return {'jinja2'} | Python3TemplateTransformer.get_standard_packages() - @classmethod def transform_response(cls, response: str) -> dict: """ diff --git a/api/core/helper/code_executor/python3/python3_transformer.py b/api/core/helper/code_executor/python3/python3_transformer.py index 4a5fa35093..75a5a44d08 100644 --- a/api/core/helper/code_executor/python3/python3_transformer.py +++ b/api/core/helper/code_executor/python3/python3_transformer.py @@ -4,30 +4,6 @@ from core.helper.code_executor.template_transformer import TemplateTransformer class Python3TemplateTransformer(TemplateTransformer): - @classmethod - def get_standard_packages(cls) -> set[str]: - return { - 'base64', - 'binascii', - 'collections', - 'datetime', - 'functools', - 'hashlib', - 'hmac', - 'itertools', - 'json', - 'math', - 'operator', - 'os', - 'random', - 're', - 'string', - 'sys', - 'time', - 'traceback', - 'uuid', - } - @classmethod def get_runner_script(cls) -> str: runner_script = dedent(f""" diff --git a/api/core/helper/code_executor/template_transformer.py b/api/core/helper/code_executor/template_transformer.py index da7ef469d9..cf66558b65 100644 --- a/api/core/helper/code_executor/template_transformer.py +++ b/api/core/helper/code_executor/template_transformer.py @@ -2,9 +2,6 @@ import json import re from abc import ABC, abstractmethod from base64 import b64encode -from typing import Optional - -from core.helper.code_executor.entities import CodeDependency class TemplateTransformer(ABC): @@ -13,12 +10,7 @@ class TemplateTransformer(ABC): _result_tag: str = '<>' @classmethod - def get_standard_packages(cls) -> set[str]: - return set() - - @classmethod - def transform_caller(cls, code: str, inputs: dict, - dependencies: Optional[list[CodeDependency]] = None) -> tuple[str, str, list[CodeDependency]]: + def transform_caller(cls, code: str, inputs: dict) -> tuple[str, str]: """ Transform code to python runner :param code: code @@ -28,14 +20,7 @@ class TemplateTransformer(ABC): runner_script = cls.assemble_runner_script(code, inputs) preload_script = cls.get_preload_script() - packages = dependencies or [] - standard_packages = cls.get_standard_packages() - for package in standard_packages: - if package not in packages: - packages.append(CodeDependency(name=package, version='')) - packages = list({dep.name: dep for dep in packages if dep.name}.values()) - - return runner_script, preload_script, packages + return runner_script, preload_script @classmethod def extract_result_str_from_response(cls, response: str) -> str: diff --git a/api/core/workflow/nodes/code/code_node.py b/api/core/workflow/nodes/code/code_node.py index 6dd39ca178..71adf18a51 100644 --- a/api/core/workflow/nodes/code/code_node.py +++ b/api/core/workflow/nodes/code/code_node.py @@ -67,7 +67,6 @@ class CodeNode(BaseNode): language=code_language, code=code, inputs=variables, - dependencies=node_data.dependencies ) # Transform result diff --git a/api/core/workflow/nodes/code/entities.py b/api/core/workflow/nodes/code/entities.py index 83a5416d57..c0701ecccd 100644 --- a/api/core/workflow/nodes/code/entities.py +++ b/api/core/workflow/nodes/code/entities.py @@ -3,7 +3,6 @@ from typing import Literal, Optional from pydantic import BaseModel from core.helper.code_executor.code_executor import CodeLanguage -from core.helper.code_executor.entities import CodeDependency from core.workflow.entities.base_node_data_entities import BaseNodeData from core.workflow.entities.variable_entities import VariableSelector @@ -16,8 +15,12 @@ class CodeNodeData(BaseNodeData): type: Literal['string', 'number', 'object', 'array[string]', 'array[number]', 'array[object]'] children: Optional[dict[str, 'Output']] = None + class Dependency(BaseModel): + name: str + version: str + variables: list[VariableSelector] code_language: Literal[CodeLanguage.PYTHON3, CodeLanguage.JAVASCRIPT] code: str outputs: dict[str, Output] - dependencies: Optional[list[CodeDependency]] = None \ No newline at end of file + dependencies: Optional[list[Dependency]] = None \ No newline at end of file diff --git a/api/tests/integration_tests/workflow/nodes/__mock/code_executor.py b/api/tests/integration_tests/workflow/nodes/__mock/code_executor.py index 13f992136e..51398ccb32 100644 --- a/api/tests/integration_tests/workflow/nodes/__mock/code_executor.py +++ b/api/tests/integration_tests/workflow/nodes/__mock/code_executor.py @@ -6,14 +6,13 @@ from _pytest.monkeypatch import MonkeyPatch from jinja2 import Template from core.helper.code_executor.code_executor import CodeExecutor, CodeLanguage -from core.helper.code_executor.entities import CodeDependency MOCK = os.getenv('MOCK_SWITCH', 'false') == 'true' class MockedCodeExecutor: @classmethod def invoke(cls, language: Literal['python3', 'javascript', 'jinja2'], - code: str, inputs: dict, dependencies: Optional[list[CodeDependency]] = None) -> dict: + code: str, inputs: dict) -> dict: # invoke directly match language: case CodeLanguage.PYTHON3: @@ -24,6 +23,8 @@ class MockedCodeExecutor: return { "result": Template(code).render(inputs) } + case _: + raise Exception("Language not supported") @pytest.fixture def setup_code_executor_mock(request, monkeypatch: MonkeyPatch): diff --git a/api/tests/integration_tests/workflow/nodes/code_executor/test_code_javascript.py b/api/tests/integration_tests/workflow/nodes/code_executor/test_code_javascript.py index 2d798eb9c2..0757caba7b 100644 --- a/api/tests/integration_tests/workflow/nodes/code_executor/test_code_javascript.py +++ b/api/tests/integration_tests/workflow/nodes/code_executor/test_code_javascript.py @@ -28,14 +28,6 @@ def test_javascript_with_code_template(): inputs={'arg1': 'Hello', 'arg2': 'World'}) assert result == {'result': 'HelloWorld'} - -def test_javascript_list_default_available_packages(): - packages = JavascriptCodeProvider.get_default_available_packages() - - # no default packages available for javascript - assert len(packages) == 0 - - def test_javascript_get_runner_script(): runner_script = NodeJsTemplateTransformer.get_runner_script() assert runner_script.count(NodeJsTemplateTransformer._code_placeholder) == 1 diff --git a/api/tests/integration_tests/workflow/nodes/code_executor/test_code_python3.py b/api/tests/integration_tests/workflow/nodes/code_executor/test_code_python3.py index d265011d4c..9d7e86cd68 100644 --- a/api/tests/integration_tests/workflow/nodes/code_executor/test_code_python3.py +++ b/api/tests/integration_tests/workflow/nodes/code_executor/test_code_python3.py @@ -29,15 +29,6 @@ def test_python3_with_code_template(): assert result == {'result': 'HelloWorld'} -def test_python3_list_default_available_packages(): - packages = Python3CodeProvider.get_default_available_packages() - assert len(packages) > 0 - assert {'requests', 'httpx'}.issubset(p['name'] for p in packages) - - # check JSON serializable - assert len(str(json.dumps(packages))) > 0 - - def test_python3_get_runner_script(): runner_script = Python3TemplateTransformer.get_runner_script() assert runner_script.count(Python3TemplateTransformer._code_placeholder) == 1 diff --git a/web/app/components/workflow/nodes/code/dependency-picker.tsx b/web/app/components/workflow/nodes/code/dependency-picker.tsx deleted file mode 100644 index 3aa6c45f20..0000000000 --- a/web/app/components/workflow/nodes/code/dependency-picker.tsx +++ /dev/null @@ -1,97 +0,0 @@ -import type { FC } from 'react' -import React, { useCallback, useState } from 'react' -import { t } from 'i18next' -import { - RiArrowDownSLine, - RiSearchLine, -} from '@remixicon/react' -import type { CodeDependency } from './types' -import { PortalToFollowElem, PortalToFollowElemContent, PortalToFollowElemTrigger } from '@/app/components/base/portal-to-follow-elem' -import { Check } from '@/app/components/base/icons/src/vender/line/general' -import { XCircle } from '@/app/components/base/icons/src/vender/solid/general' - -type Props = { - value: CodeDependency - available_dependencies: CodeDependency[] - onChange: (dependency: CodeDependency) => void -} - -const DependencyPicker: FC = ({ - available_dependencies, - value, - onChange, -}) => { - const [open, setOpen] = useState(false) - const [searchText, setSearchText] = useState('') - - const handleChange = useCallback((dependency: CodeDependency) => { - return () => { - setOpen(false) - onChange(dependency) - } - }, [onChange]) - - return ( - - setOpen(!open)} className='flex-grow cursor-pointer'> -
-
{value.name}
- -
- - -
-
- - setSearchText(e.target.value)} - autoFocus - /> - { - searchText && ( -
setSearchText('')} - > - -
- ) - } -
-
- {available_dependencies.filter((v) => { - if (!searchText) - return true - return v.name.toLowerCase().includes(searchText.toLowerCase()) - }).map(dependency => ( -
-
{dependency.name}
- {dependency.name === value.name && } -
- ))} -
-
- - - ) -} - -export default React.memo(DependencyPicker) diff --git a/web/app/components/workflow/nodes/code/dependency.tsx b/web/app/components/workflow/nodes/code/dependency.tsx deleted file mode 100644 index 5e868efe31..0000000000 --- a/web/app/components/workflow/nodes/code/dependency.tsx +++ /dev/null @@ -1,36 +0,0 @@ -import type { FC } from 'react' -import React from 'react' -import RemoveButton from '../_base/components/remove-button' -import type { CodeDependency } from './types' -import DependencyPicker from './dependency-picker' - -type Props = { - available_dependencies: CodeDependency[] - dependencies: CodeDependency[] - handleRemove: (index: number) => void - handleChange: (index: number, dependency: CodeDependency) => void -} - -const Dependencies: FC = ({ - available_dependencies, dependencies, handleRemove, handleChange, -}) => { - return ( -
- {dependencies.map((dependency, index) => ( -
- handleChange(index, dependency)} - /> - handleRemove(index)} - /> -
- ))} -
- ) -} - -export default React.memo(Dependencies) diff --git a/web/app/components/workflow/nodes/code/panel.tsx b/web/app/components/workflow/nodes/code/panel.tsx index 8ab9b3d0e5..838e7190d3 100644 --- a/web/app/components/workflow/nodes/code/panel.tsx +++ b/web/app/components/workflow/nodes/code/panel.tsx @@ -5,7 +5,6 @@ import RemoveEffectVarConfirm from '../_base/components/remove-effect-var-confir import useConfig from './use-config' import type { CodeNodeType } from './types' import { CodeLanguage } from './types' -import Dependencies from './dependency' import VarList from '@/app/components/workflow/nodes/_base/components/variable/var-list' import OutputVarList from '@/app/components/workflow/nodes/_base/components/variable/output-var-list' import AddButton from '@/app/components/base/button/add-button' @@ -60,11 +59,6 @@ const Panel: FC> = ({ varInputs, inputVarValues, setInputVarValues, - allowDependencies, - availableDependencies, - handleAddDependency, - handleRemoveDependency, - handleChangeDependency, } = useConfig(id, data) return ( @@ -84,31 +78,6 @@ const Panel: FC> = ({ filterVar={filterVar} /> - { - allowDependencies - ? ( -
- -
- handleAddDependency({ name: '', version: '' })} /> - } - tooltip={t(`${i18nPrefix}.advancedDependenciesTip`)!} - > - handleRemoveDependency(index)} - handleChange={(index, dependency) => handleChangeDependency(index, dependency)} - /> - -
-
- ) - : null - } { const appId = useAppStore.getState().appDetail?.id const [allLanguageDefault, setAllLanguageDefault] = useState | null>(null) - const [allLanguageDependencies, setAllLanguageDependencies] = useState | null>(null) useEffect(() => { if (appId) { (async () => { const { config: javaScriptConfig } = await fetchNodeDefault(appId, BlockEnum.Code, { code_language: CodeLanguage.javascript }) as any - const { config: pythonConfig, available_dependencies: pythonDependencies } = await fetchNodeDefault(appId, BlockEnum.Code, { code_language: CodeLanguage.python3 }) as any + const { config: pythonConfig } = await fetchNodeDefault(appId, BlockEnum.Code, { code_language: CodeLanguage.python3 }) as any setAllLanguageDefault({ [CodeLanguage.javascript]: javaScriptConfig as CodeNodeType, [CodeLanguage.python3]: pythonConfig as CodeNodeType, } as any) - setAllLanguageDependencies({ - [CodeLanguage.python3]: pythonDependencies as CodeDependency[], - } as any) })() } }, [appId]) @@ -45,62 +41,6 @@ const useConfig = (id: string, payload: CodeNodeType) => { setInputs, }) - const handleAddDependency = useCallback((dependency: CodeDependency) => { - const newInputs = produce(inputs, (draft) => { - if (!draft.dependencies) - draft.dependencies = [] - draft.dependencies.push(dependency) - }) - setInputs(newInputs) - }, [inputs, setInputs]) - - const handleRemoveDependency = useCallback((index: number) => { - const newInputs = produce(inputs, (draft) => { - if (!draft.dependencies) - draft.dependencies = [] - draft.dependencies.splice(index, 1) - }) - setInputs(newInputs) - }, [inputs, setInputs]) - - const handleChangeDependency = useCallback((index: number, dependency: CodeDependency) => { - const newInputs = produce(inputs, (draft) => { - if (!draft.dependencies) - draft.dependencies = [] - draft.dependencies[index] = dependency - }) - setInputs(newInputs) - }, [inputs, setInputs]) - - const [allowDependencies, setAllowDependencies] = useState(false) - useEffect(() => { - if (!inputs.code_language) - return - if (!allLanguageDependencies) - return - - const newAllowDependencies = !!allLanguageDependencies[inputs.code_language] - setAllowDependencies(newAllowDependencies) - }, [allLanguageDependencies, inputs.code_language]) - - const [availableDependencies, setAvailableDependencies] = useState([]) - useEffect(() => { - if (!inputs.code_language) - return - if (!allLanguageDependencies) - return - - const newAvailableDependencies = produce(allLanguageDependencies[inputs.code_language], (draft) => { - const currentLanguage = inputs.code_language - if (!currentLanguage || !draft || !inputs.dependencies) - return [] - return draft.filter((dependency) => { - return !inputs.dependencies?.find(d => d.name === dependency.name) - }) - }) - setAvailableDependencies(newAvailableDependencies || []) - }, [allLanguageDependencies, inputs.code_language, inputs.dependencies]) - const [outputKeyOrders, setOutputKeyOrders] = useState([]) const syncOutputKeyOrders = useCallback((outputs: OutputVar) => { setOutputKeyOrders(Object.keys(outputs)) @@ -223,11 +163,6 @@ const useConfig = (id: string, payload: CodeNodeType) => { inputVarValues, setInputVarValues, runResult, - availableDependencies, - allowDependencies, - handleAddDependency, - handleRemoveDependency, - handleChangeDependency, } } From f53454f81d03e19387c7b230d664db13e8d09ff4 Mon Sep 17 00:00:00 2001 From: orangeclk Date: Wed, 21 Aug 2024 17:29:30 +0800 Subject: [PATCH 026/164] add finish_reason to the LLM node output (#7498) --- .../openai_api_compatible/llm/llm.py | 4 +++- api/core/workflow/nodes/llm/llm_node.py | 15 ++++++++++----- .../question_classifier_node.py | 3 ++- 3 files changed, 15 insertions(+), 7 deletions(-) diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py index e5cc884b6d..753dc6cb25 100644 --- a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py +++ b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py @@ -428,7 +428,7 @@ class OAIAPICompatLargeLanguageModel(_CommonOAI_API_Compat, LargeLanguageModel): if new_tool_call.function.arguments: tool_call.function.arguments += new_tool_call.function.arguments - finish_reason = 'Unknown' + finish_reason = None # The default value of finish_reason is None for chunk in response.iter_lines(decode_unicode=True, delimiter=delimiter): chunk = chunk.strip() @@ -437,6 +437,8 @@ class OAIAPICompatLargeLanguageModel(_CommonOAI_API_Compat, LargeLanguageModel): if chunk.startswith(':'): continue decoded_chunk = chunk.strip().lstrip('data: ').lstrip() + if decoded_chunk == '[DONE]': # Some provider returns "data: [DONE]" + continue try: chunk_json = json.loads(decoded_chunk) diff --git a/api/core/workflow/nodes/llm/llm_node.py b/api/core/workflow/nodes/llm/llm_node.py index c3e4949421..eb8921b526 100644 --- a/api/core/workflow/nodes/llm/llm_node.py +++ b/api/core/workflow/nodes/llm/llm_node.py @@ -113,7 +113,7 @@ class LLMNode(BaseNode): } # handle invoke result - result_text, usage = self._invoke_llm( + result_text, usage, finish_reason = self._invoke_llm( node_data_model=node_data.model, model_instance=model_instance, prompt_messages=prompt_messages, @@ -129,7 +129,8 @@ class LLMNode(BaseNode): outputs = { 'text': result_text, - 'usage': jsonable_encoder(usage) + 'usage': jsonable_encoder(usage), + 'finish_reason': finish_reason } return NodeRunResult( @@ -167,14 +168,14 @@ class LLMNode(BaseNode): ) # handle invoke result - text, usage = self._handle_invoke_result( + text, usage, finish_reason = self._handle_invoke_result( invoke_result=invoke_result ) # deduct quota self.deduct_llm_quota(tenant_id=self.tenant_id, model_instance=model_instance, usage=usage) - return text, usage + return text, usage, finish_reason def _handle_invoke_result(self, invoke_result: Generator) -> tuple[str, LLMUsage]: """ @@ -186,6 +187,7 @@ class LLMNode(BaseNode): prompt_messages = [] full_text = '' usage = None + finish_reason = None for result in invoke_result: text = result.delta.message.content full_text += text @@ -201,10 +203,13 @@ class LLMNode(BaseNode): if not usage and result.delta.usage: usage = result.delta.usage + if not finish_reason and result.delta.finish_reason: + finish_reason = result.delta.finish_reason + if not usage: usage = LLMUsage.empty_usage() - return full_text, usage + return full_text, usage, finish_reason def _transform_chat_messages(self, messages: list[LLMNodeChatModelMessage] | LLMNodeCompletionModelPromptTemplate diff --git a/api/core/workflow/nodes/question_classifier/question_classifier_node.py b/api/core/workflow/nodes/question_classifier/question_classifier_node.py index 2e1464efce..f4057d50f3 100644 --- a/api/core/workflow/nodes/question_classifier/question_classifier_node.py +++ b/api/core/workflow/nodes/question_classifier/question_classifier_node.py @@ -63,7 +63,7 @@ class QuestionClassifierNode(LLMNode): ) # handle invoke result - result_text, usage = self._invoke_llm( + result_text, usage, finish_reason = self._invoke_llm( node_data_model=node_data.model, model_instance=model_instance, prompt_messages=prompt_messages, @@ -93,6 +93,7 @@ class QuestionClassifierNode(LLMNode): prompt_messages=prompt_messages ), 'usage': jsonable_encoder(usage), + 'finish_reason': finish_reason } outputs = { 'class_name': category_name From 2c427e04be3ebbdd624d7b0c85bed3336e2ae040 Mon Sep 17 00:00:00 2001 From: crazywoola <100913391+crazywoola@users.noreply.github.com> Date: Wed, 21 Aug 2024 20:25:45 +0800 Subject: [PATCH 027/164] Feat/7134 use dataset api create a dataset with permission (#7508) --- api/.env.example | 4 ++-- api/controllers/console/datasets/datasets.py | 6 +++--- .../service_api/dataset/dataset.py | 7 +++++-- api/models/dataset.py | 6 ++++++ api/services/dataset_service.py | 19 ++++++++++--------- .../datasets/template/template.en.mdx | 11 +++++++++-- .../datasets/template/template.zh.mdx | 11 +++++++++-- 7 files changed, 44 insertions(+), 20 deletions(-) diff --git a/api/.env.example b/api/.env.example index f81675fd53..edbb684cc7 100644 --- a/api/.env.example +++ b/api/.env.example @@ -247,8 +247,8 @@ API_TOOL_DEFAULT_READ_TIMEOUT=60 HTTP_REQUEST_MAX_CONNECT_TIMEOUT=300 HTTP_REQUEST_MAX_READ_TIMEOUT=600 HTTP_REQUEST_MAX_WRITE_TIMEOUT=600 -HTTP_REQUEST_NODE_MAX_BINARY_SIZE=10485760 # 10MB -HTTP_REQUEST_NODE_MAX_TEXT_SIZE=1048576 # 1MB +HTTP_REQUEST_NODE_MAX_BINARY_SIZE=10485760 +HTTP_REQUEST_NODE_MAX_TEXT_SIZE=1048576 # Log file path LOG_FILE= diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py index f2a9a965ae..b9a1c25154 100644 --- a/api/controllers/console/datasets/datasets.py +++ b/api/controllers/console/datasets/datasets.py @@ -24,7 +24,7 @@ from fields.app_fields import related_app_list from fields.dataset_fields import dataset_detail_fields, dataset_query_detail_fields from fields.document_fields import document_status_fields from libs.login import login_required -from models.dataset import Dataset, Document, DocumentSegment +from models.dataset import Dataset, DatasetPermissionEnum, Document, DocumentSegment from models.model import ApiToken, UploadFile from services.dataset_service import DatasetPermissionService, DatasetService, DocumentService @@ -202,7 +202,7 @@ class DatasetApi(Resource): nullable=True, help='Invalid indexing technique.') parser.add_argument('permission', type=str, location='json', choices=( - 'only_me', 'all_team_members', 'partial_members'), help='Invalid permission.' + DatasetPermissionEnum.ONLY_ME, DatasetPermissionEnum.ALL_TEAM, DatasetPermissionEnum.PARTIAL_TEAM), help='Invalid permission.' ) parser.add_argument('embedding_model', type=str, location='json', help='Invalid embedding model.') @@ -239,7 +239,7 @@ class DatasetApi(Resource): tenant_id, dataset_id_str, data.get('partial_member_list') ) # clear partial member list when permission is only_me or all_team_members - elif data.get('permission') == 'only_me' or data.get('permission') == 'all_team_members': + elif data.get('permission') == DatasetPermissionEnum.ONLY_ME or data.get('permission') == DatasetPermissionEnum.ALL_TEAM: DatasetPermissionService.clear_partial_member_list(dataset_id_str) partial_member_list = DatasetPermissionService.get_dataset_partial_member_list(dataset_id_str) diff --git a/api/controllers/service_api/dataset/dataset.py b/api/controllers/service_api/dataset/dataset.py index 8dd16c0787..e0863859a2 100644 --- a/api/controllers/service_api/dataset/dataset.py +++ b/api/controllers/service_api/dataset/dataset.py @@ -10,7 +10,7 @@ from core.model_runtime.entities.model_entities import ModelType from core.provider_manager import ProviderManager from fields.dataset_fields import dataset_detail_fields from libs.login import current_user -from models.dataset import Dataset +from models.dataset import Dataset, DatasetPermissionEnum from services.dataset_service import DatasetService @@ -78,6 +78,8 @@ class DatasetListApi(DatasetApiResource): parser.add_argument('indexing_technique', type=str, location='json', choices=Dataset.INDEXING_TECHNIQUE_LIST, help='Invalid indexing technique.') + parser.add_argument('permission', type=str, location='json', choices=( + DatasetPermissionEnum.ONLY_ME, DatasetPermissionEnum.ALL_TEAM, DatasetPermissionEnum.PARTIAL_TEAM), help='Invalid permission.', required=False, nullable=False) args = parser.parse_args() try: @@ -85,7 +87,8 @@ class DatasetListApi(DatasetApiResource): tenant_id=tenant_id, name=args['name'], indexing_technique=args['indexing_technique'], - account=current_user + account=current_user, + permission=args['permission'] ) except services.errors.dataset.DatasetNameDuplicateError: raise DatasetNameDuplicateError() diff --git a/api/models/dataset.py b/api/models/dataset.py index 0d48177eb6..203031c7b9 100644 --- a/api/models/dataset.py +++ b/api/models/dataset.py @@ -1,4 +1,5 @@ import base64 +import enum import hashlib import hmac import json @@ -22,6 +23,11 @@ from .model import App, Tag, TagBinding, UploadFile from .types import StringUUID +class DatasetPermissionEnum(str, enum.Enum): + ONLY_ME = 'only_me' + ALL_TEAM = 'all_team_members' + PARTIAL_TEAM = 'partial_members' + class Dataset(db.Model): __tablename__ = 'datasets' __table_args__ = ( diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py index 12ae0e39a8..d547014866 100644 --- a/api/services/dataset_service.py +++ b/api/services/dataset_service.py @@ -27,6 +27,7 @@ from models.dataset import ( Dataset, DatasetCollectionBinding, DatasetPermission, + DatasetPermissionEnum, DatasetProcessRule, DatasetQuery, Document, @@ -80,21 +81,21 @@ class DatasetService: if permitted_dataset_ids: query = query.filter( db.or_( - Dataset.permission == 'all_team_members', - db.and_(Dataset.permission == 'only_me', Dataset.created_by == user.id), - db.and_(Dataset.permission == 'partial_members', Dataset.id.in_(permitted_dataset_ids)) + Dataset.permission == DatasetPermissionEnum.ALL_TEAM, + db.and_(Dataset.permission == DatasetPermissionEnum.ONLY_ME, Dataset.created_by == user.id), + db.and_(Dataset.permission == DatasetPermissionEnum.PARTIAL_TEAM, Dataset.id.in_(permitted_dataset_ids)) ) ) else: query = query.filter( db.or_( - Dataset.permission == 'all_team_members', - db.and_(Dataset.permission == 'only_me', Dataset.created_by == user.id) + Dataset.permission == DatasetPermissionEnum.ALL_TEAM, + db.and_(Dataset.permission == DatasetPermissionEnum.ONLY_ME, Dataset.created_by == user.id) ) ) else: # if no user, only show datasets that are shared with all team members - query = query.filter(Dataset.permission == 'all_team_members') + query = query.filter(Dataset.permission == DatasetPermissionEnum.ALL_TEAM) if search: query = query.filter(Dataset.name.ilike(f'%{search}%')) @@ -330,7 +331,7 @@ class DatasetService: raise NoPermissionError( 'You do not have permission to access this dataset.' ) - if dataset.permission == 'only_me' and dataset.created_by != user.id: + if dataset.permission == DatasetPermissionEnum.ONLY_ME and dataset.created_by != user.id: logging.debug( f'User {user.id} does not have permission to access dataset {dataset.id}' ) @@ -351,11 +352,11 @@ class DatasetService: @staticmethod def check_dataset_operator_permission(user: Account = None, dataset: Dataset = None): - if dataset.permission == 'only_me': + if dataset.permission == DatasetPermissionEnum.ONLY_ME: if dataset.created_by != user.id: raise NoPermissionError('You do not have permission to access this dataset.') - elif dataset.permission == 'partial_members': + elif dataset.permission == DatasetPermissionEnum.PARTIAL_TEAM: if not any( dp.dataset_id == dataset.id for dp in DatasetPermission.query.filter_by(account_id=user.id).all() ): diff --git a/web/app/(commonLayout)/datasets/template/template.en.mdx b/web/app/(commonLayout)/datasets/template/template.en.mdx index 44c5964d77..33451b8a0b 100644 --- a/web/app/(commonLayout)/datasets/template/template.en.mdx +++ b/web/app/(commonLayout)/datasets/template/template.en.mdx @@ -236,6 +236,12 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from Knowledge name + + Permission + - only_me Only me + - all_team_members All team members + - partial_members Partial members + @@ -243,14 +249,15 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from title="Request" tag="POST" label="/datasets" - targetCode={`curl --location --request POST '${props.apiBaseUrl}/datasets' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json' \\\n--data-raw '{"name": "name"}'`} + targetCode={`curl --location --request POST '${props.apiBaseUrl}/datasets' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json' \\\n--data-raw '{"name": "name", "permission": "only_me"}'`} > ```bash {{ title: 'cURL' }} curl --location --request POST '${apiBaseUrl}/v1/datasets' \ --header 'Authorization: Bearer {api_key}' \ --header 'Content-Type: application/json' \ --data-raw '{ - "name": "name" + "name": "name", + "permission": "only_me" }' ``` diff --git a/web/app/(commonLayout)/datasets/template/template.zh.mdx b/web/app/(commonLayout)/datasets/template/template.zh.mdx index 9f79b0f900..dc48f92f18 100644 --- a/web/app/(commonLayout)/datasets/template/template.zh.mdx +++ b/web/app/(commonLayout)/datasets/template/template.zh.mdx @@ -236,6 +236,12 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from 知识库名称 + + 权限 + - only_me 仅自己 + - all_team_members 所有团队成员 + - partial_members 部分团队成员 + @@ -243,14 +249,15 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from title="Request" tag="POST" label="/datasets" - targetCode={`curl --location --request POST '${props.apiBaseUrl}/datasets' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json' \\\n--data-raw '{"name": "name"}'`} + targetCode={`curl --location --request POST '${props.apiBaseUrl}/datasets' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json' \\\n--data-raw '{"name": "name", "permission": "only_me"}'`} > ```bash {{ title: 'cURL' }} curl --location --request POST '${props.apiBaseUrl}/datasets' \ --header 'Authorization: Bearer {api_key}' \ --header 'Content-Type: application/json' \ --data-raw '{ - "name": "name" + "name": "name", + "permission": "only_me" }' ``` From 0006c6f0fdaeca5df7cc03a8e806943c625d6e7e Mon Sep 17 00:00:00 2001 From: Vimpas Date: Thu, 22 Aug 2024 09:45:42 +0800 Subject: [PATCH 028/164] =?UTF-8?q?fix(storage):=20=F0=9F=90=9B=20Create?= =?UTF-8?q?=20S3=20bucket=20if=20it=20doesn't=20exist=20(#7514)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: 莫岳恒 --- api/extensions/storage/s3_storage.py | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/api/extensions/storage/s3_storage.py b/api/extensions/storage/s3_storage.py index 022ce5b14a..424d441cdc 100644 --- a/api/extensions/storage/s3_storage.py +++ b/api/extensions/storage/s3_storage.py @@ -28,6 +28,16 @@ class S3Storage(BaseStorage): region_name=app_config.get("S3_REGION"), config=Config(s3={"addressing_style": app_config.get("S3_ADDRESS_STYLE")}), ) + # create bucket + try: + self.client.head_bucket(Bucket=self.bucket_name) + except ClientError as e: + # if bucket not exists, create it + if e.response["Error"]["Code"] == "404": + self.client.create_bucket(Bucket=self.bucket_name) + else: + # other error, raise exception + raise def save(self, filename, data): self.client.put_object(Bucket=self.bucket_name, Key=filename, Body=data) From 9f6aab11d4c3818e5be86809e5efc382f2c14a5d Mon Sep 17 00:00:00 2001 From: Yi Xiao <54782454+YIXIAO0@users.noreply.github.com> Date: Thu, 22 Aug 2024 10:26:09 +0800 Subject: [PATCH 029/164] fix: tag input state lost issue (#7500) --- web/app/components/base/tag-management/selector.tsx | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/web/app/components/base/tag-management/selector.tsx b/web/app/components/base/tag-management/selector.tsx index 74e0357064..fd271a82e8 100644 --- a/web/app/components/base/tag-management/selector.tsx +++ b/web/app/components/base/tag-management/selector.tsx @@ -68,6 +68,7 @@ const Panel = (props: PanelProps) => { ...tagList, newTag, ]) + setKeywords('') setCreating(false) onCreate() } @@ -123,11 +124,8 @@ const Panel = (props: PanelProps) => { handleValueChange() }) - const onMouseLeave = async () => { - props.onClose?.() - } return ( -
+
From 6f968bafb2b0038253de1c605fae6e8db864fd70 Mon Sep 17 00:00:00 2001 From: Yi Xiao <54782454+YIXIAO0@users.noreply.github.com> Date: Thu, 22 Aug 2024 11:33:20 +0800 Subject: [PATCH 030/164] feat: update the "tag delete" confirm modal (#7522) --- .../base/tag-management/tag-item-editor.tsx | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/web/app/components/base/tag-management/tag-item-editor.tsx b/web/app/components/base/tag-management/tag-item-editor.tsx index f20e61a43c..3735695302 100644 --- a/web/app/components/base/tag-management/tag-item-editor.tsx +++ b/web/app/components/base/tag-management/tag-item-editor.tsx @@ -8,7 +8,7 @@ import { useDebounceFn } from 'ahooks' import { useContext } from 'use-context-selector' import { useTranslation } from 'react-i18next' import { useStore as useTagStore } from './store' -import TagRemoveModal from './tag-remove-modal' +import Confirm from '@/app/components/base/confirm' import cn from '@/utils/classnames' import type { Tag } from '@/app/components/base/tag-management/constant' import { ToastContext } from '@/app/components/base/toast' @@ -134,14 +134,15 @@ const TagItemEditor: FC = ({ /> )}
- { handleRemove() setShowRemoveModal(false) }} - onClose={() => setShowRemoveModal(false)} + onCancel={() => setShowRemoveModal(false)} /> ) From 60ef7ba8550d25ec4fa0d73e08af40cd08caba40 Mon Sep 17 00:00:00 2001 From: Hash Brown Date: Thu, 22 Aug 2024 13:32:59 +0800 Subject: [PATCH 031/164] fix: add missed modifications of `` (#7512) --- web/app/components/app-sidebar/basic.tsx | 2 +- web/app/components/app/app-publisher/index.tsx | 5 +++-- .../base/chat/chat-with-history/config-panel/index.tsx | 3 +++ .../base/chat/embedded-chatbot/config-panel/index.tsx | 3 +++ web/app/components/header/app-nav/index.tsx | 2 ++ web/app/components/header/nav/nav-selector/index.tsx | 5 ++++- web/app/components/tools/workflow-tool/index.tsx | 2 +- web/models/share.ts | 6 +++--- 8 files changed, 20 insertions(+), 8 deletions(-) diff --git a/web/app/components/app-sidebar/basic.tsx b/web/app/components/app-sidebar/basic.tsx index 09f978b04b..f1388f41de 100644 --- a/web/app/components/app-sidebar/basic.tsx +++ b/web/app/components/app-sidebar/basic.tsx @@ -9,7 +9,7 @@ import { randomString } from '@/utils' export type IAppBasicProps = { iconType?: 'app' | 'api' | 'dataset' | 'webapp' | 'notion' icon?: string - icon_background?: string + icon_background?: string | null name: string type: string | React.ReactNode hoverTip?: string diff --git a/web/app/components/app/app-publisher/index.tsx b/web/app/components/app/app-publisher/index.tsx index e971274a71..0558e29956 100644 --- a/web/app/components/app/app-publisher/index.tsx +++ b/web/app/components/app/app-publisher/index.tsx @@ -24,6 +24,7 @@ import { LeftIndent02 } from '@/app/components/base/icons/src/vender/line/editor import { FileText } from '@/app/components/base/icons/src/vender/line/files' import WorkflowToolConfigureButton from '@/app/components/tools/workflow-tool/configure-button' import type { InputVar } from '@/app/components/workflow/types' +import { appDefaultIconBackground } from '@/config' export type AppPublisherProps = { disabled?: boolean @@ -212,8 +213,8 @@ const AppPublisher = ({ detailNeedUpdate={!!toolPublished && published} workflowAppId={appDetail?.id} icon={{ - content: appDetail?.icon, - background: appDetail?.icon_background, + content: (appDetail.icon_type === 'image' ? '🤖' : appDetail?.icon) || '🤖', + background: (appDetail.icon_type === 'image' ? appDefaultIconBackground : appDetail?.icon_background) || appDefaultIconBackground, }} name={appDetail?.name} description={appDetail?.description} diff --git a/web/app/components/base/chat/chat-with-history/config-panel/index.tsx b/web/app/components/base/chat/chat-with-history/config-panel/index.tsx index 6bee44b8ef..05f253290f 100644 --- a/web/app/components/base/chat/chat-with-history/config-panel/index.tsx +++ b/web/app/components/base/chat/chat-with-history/config-panel/index.tsx @@ -43,9 +43,12 @@ const ConfigPanel = () => { <>
{appData?.site.title}
diff --git a/web/app/components/base/chat/embedded-chatbot/config-panel/index.tsx b/web/app/components/base/chat/embedded-chatbot/config-panel/index.tsx index 81f57a04ae..df5d12ef14 100644 --- a/web/app/components/base/chat/embedded-chatbot/config-panel/index.tsx +++ b/web/app/components/base/chat/embedded-chatbot/config-panel/index.tsx @@ -48,9 +48,12 @@ const ConfigPanel = () => { <>
{appData?.site.title}
diff --git a/web/app/components/header/app-nav/index.tsx b/web/app/components/header/app-nav/index.tsx index bab7aac1a2..d4dd9e3ffd 100644 --- a/web/app/components/header/app-nav/index.tsx +++ b/web/app/components/header/app-nav/index.tsx @@ -87,8 +87,10 @@ const AppNav = () => { })(isCurrentWorkspaceEditor, app) return { id: app.id, + icon_type: app.icon_type, icon: app.icon, icon_background: app.icon_background, + icon_url: app.icon_url, name: app.name, mode: app.mode, link, diff --git a/web/app/components/header/nav/nav-selector/index.tsx b/web/app/components/header/nav/nav-selector/index.tsx index 26f538d72d..ab5189bf92 100644 --- a/web/app/components/header/nav/nav-selector/index.tsx +++ b/web/app/components/header/nav/nav-selector/index.tsx @@ -16,13 +16,16 @@ import { Route } from '@/app/components/base/icons/src/vender/solid/mapsAndTrave import { useAppContext } from '@/context/app-context' import { useStore as useAppStore } from '@/app/components/app/store' import { FileArrow01, FilePlus01, FilePlus02 } from '@/app/components/base/icons/src/vender/line/files' +import type { AppIconType } from '@/types/app' export type NavItem = { id: string name: string link: string + icon_type: AppIconType | null icon: string icon_background: string + icon_url: string | null mode?: string } export type INavSelectorProps = { @@ -82,7 +85,7 @@ const NavSelector = ({ curNav, navs, createText, isApp, onCreate, onLoadmore }: router.push(nav.link) }} title={nav.name}>
- + {!!nav.mode && ( = ({
{t('tools.createTool.name')} *
- { setShowEmojiPicker(true) }} className='cursor-pointer' icon={emoji.content} background={emoji.background} /> + { setShowEmojiPicker(true) }} className='cursor-pointer' iconType='emoji' icon={emoji.content} background={emoji.background} /> Date: Thu, 22 Aug 2024 14:36:15 +0900 Subject: [PATCH 032/164] docs: update certbot/README.md (#7528) --- docker/certbot/README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docker/certbot/README.md b/docker/certbot/README.md index 3fab2f4bb7..c6f73ae699 100644 --- a/docker/certbot/README.md +++ b/docker/certbot/README.md @@ -16,7 +16,7 @@ Use `docker-compose --profile certbot up` to use this features. CERTBOT_DOMAIN=your_domain.com CERTBOT_EMAIL=example@your_domain.com ``` - excecute command: + execute command: ```shell sudo docker network prune sudo docker-compose --profile certbot up --force-recreate -d @@ -30,7 +30,7 @@ Use `docker-compose --profile certbot up` to use this features. ```properties NGINX_HTTPS_ENABLED=true ``` - excecute command: + execute command: ```shell sudo docker-compose --profile certbot up -d --no-deps --force-recreate nginx ``` @@ -73,4 +73,4 @@ To use cert files dir `nginx/ssl` as before, simply launch containers WITHOUT `- ```shell sudo docker-compose up -d -``` \ No newline at end of file +``` From f5dcc6092b5ca13d3e88e38b19f7758bd512bc36 Mon Sep 17 00:00:00 2001 From: Nam Vu Date: Thu, 22 Aug 2024 17:08:36 +0700 Subject: [PATCH 033/164] feat: CONTRIBUTING_VI i18n (#7532) --- CONTRIBUTING_VI.md | 156 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 156 insertions(+) create mode 100644 CONTRIBUTING_VI.md diff --git a/CONTRIBUTING_VI.md b/CONTRIBUTING_VI.md new file mode 100644 index 0000000000..2521256d24 --- /dev/null +++ b/CONTRIBUTING_VI.md @@ -0,0 +1,156 @@ +Thật tuyệt vời khi bạn muốn đóng góp cho Dify! Chúng tôi rất mong chờ được thấy những gì bạn sẽ làm. Là một startup với nguồn nhân lực và tài chính hạn chế, chúng tôi có tham vọng lớn là thiết kế quy trình trực quan nhất để xây dựng và quản lý các ứng dụng LLM. Mọi sự giúp đỡ từ cộng đồng đều rất quý giá đối với chúng tôi. + +Chúng tôi cần linh hoạt và làm việc nhanh chóng, nhưng đồng thời cũng muốn đảm bảo các cộng tác viên như bạn có trải nghiệm đóng góp thuận lợi nhất có thể. Chúng tôi đã tạo ra hướng dẫn đóng góp này nhằm giúp bạn làm quen với codebase và cách chúng tôi làm việc với các cộng tác viên, để bạn có thể nhanh chóng bắt tay vào phần thú vị. + +Hướng dẫn này, cũng như bản thân Dify, đang trong quá trình cải tiến liên tục. Chúng tôi rất cảm kích sự thông cảm của bạn nếu đôi khi nó không theo kịp dự án thực tế, và chúng tôi luôn hoan nghênh mọi phản hồi để cải thiện. + +Về vấn đề cấp phép, xin vui lòng dành chút thời gian đọc qua [Thỏa thuận Cấp phép và Đóng góp](./LICENSE) ngắn gọn của chúng tôi. Cộng đồng cũng tuân thủ [quy tắc ứng xử](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md). + +## Trước khi bắt đầu + +[Tìm kiếm](https://github.com/langgenius/dify/issues?q=is:issue+is:closed) một vấn đề hiện có, hoặc [tạo mới](https://github.com/langgenius/dify/issues/new/choose) một vấn đề. Chúng tôi phân loại các vấn đề thành 2 loại: + +### Yêu cầu tính năng: + +* Nếu bạn đang tạo một yêu cầu tính năng mới, chúng tôi muốn bạn giải thích tính năng đề xuất sẽ đạt được điều gì và cung cấp càng nhiều thông tin chi tiết càng tốt. [@perzeusss](https://github.com/perzeuss) đã tạo một [Trợ lý Yêu cầu Tính năng](https://udify.app/chat/MK2kVSnw1gakVwMX) rất hữu ích để giúp bạn soạn thảo nhu cầu của mình. Hãy thử dùng nó nhé. + +* Nếu bạn muốn chọn một vấn đề từ danh sách hiện có, chỉ cần để lại bình luận dưới vấn đề đó nói rằng bạn sẽ làm. + + Một thành viên trong nhóm làm việc trong lĩnh vực liên quan sẽ được thông báo. Nếu mọi thứ ổn, họ sẽ cho phép bạn bắt đầu code. Chúng tôi yêu cầu bạn chờ đợi cho đến lúc đó trước khi bắt tay vào làm tính năng, để không lãng phí công sức của bạn nếu chúng tôi đề xuất thay đổi. + + Tùy thuộc vào lĩnh vực mà tính năng đề xuất thuộc về, bạn có thể nói chuyện với các thành viên khác nhau trong nhóm. Dưới đây là danh sách các lĩnh vực mà các thành viên trong nhóm chúng tôi đang làm việc hiện tại: + + | Thành viên | Phạm vi | + | ------------------------------------------------------------ | ---------------------------------------------------- | + | [@yeuoly](https://github.com/Yeuoly) | Thiết kế kiến trúc Agents | + | [@jyong](https://github.com/JohnJyong) | Thiết kế quy trình RAG | + | [@GarfieldDai](https://github.com/GarfieldDai) | Xây dựng quy trình làm việc | + | [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | Làm cho giao diện người dùng dễ sử dụng | + | [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | Trải nghiệm nhà phát triển, đầu mối liên hệ cho mọi vấn đề | + | [@takatost](https://github.com/takatost) | Định hướng và kiến trúc tổng thể sản phẩm | + + Cách chúng tôi ưu tiên: + + | Loại tính năng | Mức độ ưu tiên | + | ------------------------------------------------------------ | -------------- | + | Tính năng ưu tiên cao được gắn nhãn bởi thành viên trong nhóm | Ưu tiên cao | + | Yêu cầu tính năng phổ biến từ [bảng phản hồi cộng đồng](https://github.com/langgenius/dify/discussions/categories/feedbacks) của chúng tôi | Ưu tiên trung bình | + | Tính năng không quan trọng và cải tiến nhỏ | Ưu tiên thấp | + | Có giá trị nhưng không cấp bách | Tính năng tương lai | + +### Những vấn đề khác (ví dụ: báo cáo lỗi, tối ưu hiệu suất, sửa lỗi chính tả): + +* Bắt đầu code ngay lập tức. + + Cách chúng tôi ưu tiên: + + | Loại vấn đề | Mức độ ưu tiên | + | ------------------------------------------------------------ | -------------- | + | Lỗi trong các chức năng chính (không thể đăng nhập, ứng dụng không hoạt động, lỗ hổng bảo mật) | Nghiêm trọng | + | Lỗi không quan trọng, cải thiện hiệu suất | Ưu tiên trung bình | + | Sửa lỗi nhỏ (lỗi chính tả, giao diện người dùng gây nhầm lẫn nhưng vẫn hoạt động) | Ưu tiên thấp | + + +## Cài đặt + +Dưới đây là các bước để thiết lập Dify cho việc phát triển: + +### 1. Fork repository này + +### 2. Clone repository + + Clone repository đã fork từ terminal của bạn: + +``` +git clone git@github.com:/dify.git +``` + +### 3. Kiểm tra các phụ thuộc + +Dify yêu cầu các phụ thuộc sau để build, hãy đảm bảo chúng đã được cài đặt trên hệ thống của bạn: + +- [Docker](https://www.docker.com/) +- [Docker Compose](https://docs.docker.com/compose/install/) +- [Node.js v18.x (LTS)](http://nodejs.org) +- [npm](https://www.npmjs.com/) phiên bản 8.x.x hoặc [Yarn](https://yarnpkg.com/) +- [Python](https://www.python.org/) phiên bản 3.10.x + +### 4. Cài đặt + +Dify bao gồm một backend và một frontend. Đi đến thư mục backend bằng lệnh `cd api/`, sau đó làm theo hướng dẫn trong [README của Backend](api/README.md) để cài đặt. Trong một terminal khác, đi đến thư mục frontend bằng lệnh `cd web/`, sau đó làm theo hướng dẫn trong [README của Frontend](web/README.md) để cài đặt. + +Kiểm tra [FAQ về cài đặt](https://docs.dify.ai/learn-more/faq/self-host-faq) để xem danh sách các vấn đề thường gặp và các bước khắc phục. + +### 5. Truy cập Dify trong trình duyệt của bạn + +Để xác nhận cài đặt của bạn, hãy truy cập [http://localhost:3000](http://localhost:3000) (địa chỉ mặc định, hoặc URL và cổng bạn đã cấu hình) trong trình duyệt. Bạn sẽ thấy Dify đang chạy. + +## Phát triển + +Nếu bạn đang thêm một nhà cung cấp mô hình, [hướng dẫn này](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md) dành cho bạn. + +Nếu bạn đang thêm một nhà cung cấp công cụ cho Agent hoặc Workflow, [hướng dẫn này](./api/core/tools/README.md) dành cho bạn. + +Để giúp bạn nhanh chóng định hướng phần đóng góp của mình, dưới đây là một bản phác thảo ngắn gọn về cấu trúc backend & frontend của Dify: + +### Backend + +Backend của Dify được viết bằng Python sử dụng [Flask](https://flask.palletsprojects.com/en/3.0.x/). Nó sử dụng [SQLAlchemy](https://www.sqlalchemy.org/) cho ORM và [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) cho hàng đợi tác vụ. Logic xác thực được thực hiện thông qua Flask-login. + +``` +[api/] +├── constants // Các cài đặt hằng số được sử dụng trong toàn bộ codebase. +├── controllers // Định nghĩa các route API và logic xử lý yêu cầu. +├── core // Điều phối ứng dụng cốt lõi, tích hợp mô hình và công cụ. +├── docker // Cấu hình liên quan đến Docker & containerization. +├── events // Xử lý và xử lý sự kiện +├── extensions // Mở rộng với các framework/nền tảng bên thứ 3. +├── fields // Định nghĩa trường cho serialization/marshalling. +├── libs // Thư viện và tiện ích có thể tái sử dụng. +├── migrations // Script cho việc di chuyển cơ sở dữ liệu. +├── models // Mô hình cơ sở dữ liệu & định nghĩa schema. +├── services // Xác định logic nghiệp vụ. +├── storage // Lưu trữ khóa riêng tư. +├── tasks // Xử lý các tác vụ bất đồng bộ và công việc nền. +└── tests +``` + +### Frontend + +Website được khởi tạo trên boilerplate [Next.js](https://nextjs.org/) bằng Typescript và sử dụng [Tailwind CSS](https://tailwindcss.com/) cho styling. [React-i18next](https://react.i18next.com/) được sử dụng cho việc quốc tế hóa. + +``` +[web/] +├── app // layouts, pages và components +│ ├── (commonLayout) // layout chung được sử dụng trong toàn bộ ứng dụng +│ ├── (shareLayout) // layouts được chia sẻ cụ thể cho các phiên dựa trên token +│ ├── activate // trang kích hoạt +│ ├── components // được chia sẻ bởi các trang và layouts +│ ├── install // trang cài đặt +│ ├── signin // trang đăng nhập +│ └── styles // styles được chia sẻ toàn cục +├── assets // Tài nguyên tĩnh +├── bin // scripts chạy ở bước build +├── config // cài đặt và tùy chọn có thể điều chỉnh +├── context // contexts được chia sẻ bởi các phần khác nhau của ứng dụng +├── dictionaries // File dịch cho từng ngôn ngữ +├── docker // cấu hình container +├── hooks // Hooks có thể tái sử dụng +├── i18n // Cấu hình quốc tế hóa +├── models // mô tả các mô hình dữ liệu & hình dạng của phản hồi API +├── public // tài nguyên meta như favicon +├── service // xác định hình dạng của các hành động API +├── test +├── types // mô tả các tham số hàm và giá trị trả về +└── utils // Các hàm tiện ích được chia sẻ +``` + +## Gửi PR của bạn + +Cuối cùng, đã đến lúc mở một pull request (PR) đến repository của chúng tôi. Đối với các tính năng lớn, chúng tôi sẽ merge chúng vào nhánh `deploy/dev` để kiểm tra trước khi đưa vào nhánh `main`. Nếu bạn gặp vấn đề như xung đột merge hoặc không biết cách mở pull request, hãy xem [hướng dẫn về pull request của GitHub](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests). + +Và thế là xong! Khi PR của bạn được merge, bạn sẽ được giới thiệu là một người đóng góp trong [README](https://github.com/langgenius/dify/blob/main/README.md) của chúng tôi. + +## Nhận trợ giúp + +Nếu bạn gặp khó khăn hoặc có câu hỏi cấp bách trong quá trình đóng góp, hãy đặt câu hỏi của bạn trong vấn đề GitHub liên quan, hoặc tham gia [Discord](https://discord.gg/8Tpq4AcN9c) của chúng tôi để trò chuyện nhanh chóng. \ No newline at end of file From 4ce47284dc9f3a485e419efc3d0d21c5d576157d Mon Sep 17 00:00:00 2001 From: Jyong <76649700+JohnJyong@users.noreply.github.com> Date: Thu, 22 Aug 2024 18:17:21 +0800 Subject: [PATCH 034/164] update nltk version to 3.8.1 (#7544) --- api/.idea/vcs.xml | 2 +- api/poetry.lock | 201 ++++++++++++++++++++++----------------------- api/pyproject.toml | 2 +- 3 files changed, 98 insertions(+), 107 deletions(-) diff --git a/api/.idea/vcs.xml b/api/.idea/vcs.xml index ae8b1755c5..eaa7c25c60 100644 --- a/api/.idea/vcs.xml +++ b/api/.idea/vcs.xml @@ -13,4 +13,4 @@ - \ No 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"Tencent Cloud Common SDK for Python" optional = false python-versions = "*" files = [ - {file = "tencentcloud-sdk-python-common-3.0.1215.tar.gz", hash = "sha256:2bc3be61598af06835f66a2b2f769fe32e7b6f8fdcde4bd5aefb2b0205a374ae"}, - {file = "tencentcloud_sdk_python_common-3.0.1215-py2.py3-none-any.whl", hash = "sha256:45a1a995d2d972e0e2673c19b97eecc2176c30ab25016a814fda20a9254e6e88"}, + {file = "tencentcloud-sdk-python-common-3.0.1216.tar.gz", hash = "sha256:7ad83b100574068fe25439fe47fd27253ff1c730348a309567a7ff88eda63cf8"}, + {file = "tencentcloud_sdk_python_common-3.0.1216-py2.py3-none-any.whl", hash = "sha256:5e1cf9b685923d567d379f96a7008084006ad68793cfa0a0524e65dc59fd09d7"}, ] [package.dependencies] @@ -8059,17 +8050,17 @@ requests = ">=2.16.0" [[package]] name = "tencentcloud-sdk-python-hunyuan" -version = "3.0.1215" +version = "3.0.1216" description = "Tencent Cloud Hunyuan SDK for Python" optional = false python-versions = "*" files = [ - {file = "tencentcloud-sdk-python-hunyuan-3.0.1215.tar.gz", hash = "sha256:aba15f29f14f27ec7c8801562601d4720368435b925640c7efd83170e2bfefe1"}, - {file = "tencentcloud_sdk_python_hunyuan-3.0.1215-py2.py3-none-any.whl", hash = "sha256:5baab9ded7509326d951aca553147e72d57b7c0ea961fa03afc123f7a45bf2b7"}, + {file = "tencentcloud-sdk-python-hunyuan-3.0.1216.tar.gz", hash = "sha256:b295d67f97dba52ed358a1d9e061f94b1a4a87e45714efbf0987edab12642206"}, + {file = "tencentcloud_sdk_python_hunyuan-3.0.1216-py2.py3-none-any.whl", hash = "sha256:62d925b41424017929b532389061a076dca72dde455e85ec089947645010e691"}, ] [package.dependencies] -tencentcloud-sdk-python-common = "3.0.1215" +tencentcloud-sdk-python-common = "3.0.1216" [[package]] name = "threadpoolctl" @@ -9116,13 +9107,13 @@ files = [ [[package]] name = "werkzeug" -version = "3.0.3" +version = "3.0.4" description = "The comprehensive WSGI web application library." optional = false python-versions = ">=3.8" files = [ - {file = "werkzeug-3.0.3-py3-none-any.whl", hash = "sha256:fc9645dc43e03e4d630d23143a04a7f947a9a3b5727cd535fdfe155a17cc48c8"}, - {file = "werkzeug-3.0.3.tar.gz", hash = "sha256:097e5bfda9f0aba8da6b8545146def481d06aa7d3266e7448e2cccf67dd8bd18"}, + {file = "werkzeug-3.0.4-py3-none-any.whl", hash = "sha256:02c9eb92b7d6c06f31a782811505d2157837cea66aaede3e217c7c27c039476c"}, + {file = "werkzeug-3.0.4.tar.gz", hash = "sha256:34f2371506b250df4d4f84bfe7b0921e4762525762bbd936614909fe25cd7306"}, ] [package.dependencies] @@ -9642,4 +9633,4 @@ cffi = ["cffi (>=1.11)"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.13" -content-hash = "d82b0af7ec92f91035cd0c69741f7b749cce94198d598eac431ee746b9daf4f4" +content-hash = "69c20af8ecacced3cca092662223a1511acaf65cb2616a5a1e38b498223463e0" diff --git a/api/pyproject.toml b/api/pyproject.toml index 22c1e9f3a7..8e050c4101 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -216,7 +216,7 @@ twilio = "~9.0.4" vanna = { version = "0.5.5", extras = ["postgres", "mysql", "clickhouse", "duckdb"] } wikipedia = "1.4.0" yfinance = "~0.2.40" - +nltk = "3.8.1" ############################################################ # VDB dependencies required by vector store clients ############################################################ From 931e6f1625e13a7b2cee1c8ad53847b09c06f88a Mon Sep 17 00:00:00 2001 From: AllenWriter Date: Thu, 22 Aug 2024 19:20:13 +0800 Subject: [PATCH 035/164] Added Space between Chinese and English within tools' description (#7545) --- api/core/tools/provider/builtin/azuredalle/tools/dalle3.yaml | 2 +- api/core/tools/provider/builtin/cogview/tools/cogview3.yaml | 2 +- api/core/tools/provider/builtin/dalle/tools/dalle2.yaml | 2 +- api/core/tools/provider/builtin/dalle/tools/dalle3.yaml | 2 +- api/core/tools/provider/builtin/stepfun/tools/image.yaml | 2 +- 5 files changed, 5 insertions(+), 5 deletions(-) diff --git a/api/core/tools/provider/builtin/azuredalle/tools/dalle3.yaml b/api/core/tools/provider/builtin/azuredalle/tools/dalle3.yaml index 63a8c99d97..e256748e8f 100644 --- a/api/core/tools/provider/builtin/azuredalle/tools/dalle3.yaml +++ b/api/core/tools/provider/builtin/azuredalle/tools/dalle3.yaml @@ -25,7 +25,7 @@ parameters: pt_BR: Prompt human_description: en_US: Image prompt, you can check the official documentation of DallE 3 - zh_Hans: 图像提示词，您可以查看DallE 3 的官方文档 + zh_Hans: 图像提示词，您可以查看 DallE 3 的官方文档 pt_BR: Imagem prompt, você pode verificar a documentação oficial do DallE 3 llm_description: Image prompt of DallE 3, you should describe the image you want to generate as a list of words as possible as detailed form: llm diff --git a/api/core/tools/provider/builtin/cogview/tools/cogview3.yaml b/api/core/tools/provider/builtin/cogview/tools/cogview3.yaml index ba0b271a1c..1de3f599b6 100644 --- a/api/core/tools/provider/builtin/cogview/tools/cogview3.yaml +++ b/api/core/tools/provider/builtin/cogview/tools/cogview3.yaml @@ -25,7 +25,7 @@ parameters: pt_BR: Prompt human_description: en_US: Image prompt, you can check the official documentation of CogView 3 - zh_Hans: 图像提示词，您可以查看CogView 3 的官方文档 + zh_Hans: 图像提示词，您可以查看 CogView 3 的官方文档 pt_BR: Image prompt, you can check the official documentation of CogView 3 llm_description: Image prompt of CogView 3, you should describe the image you want to generate as a list of words as possible as detailed form: llm diff --git a/api/core/tools/provider/builtin/dalle/tools/dalle2.yaml b/api/core/tools/provider/builtin/dalle/tools/dalle2.yaml index 90c73ecc57..e43e5df8cd 100644 --- a/api/core/tools/provider/builtin/dalle/tools/dalle2.yaml +++ b/api/core/tools/provider/builtin/dalle/tools/dalle2.yaml @@ -24,7 +24,7 @@ parameters: pt_BR: Prompt human_description: en_US: Image prompt, you can check the official documentation of DallE 2 - zh_Hans: 图像提示词，您可以查看DallE 2 的官方文档 + zh_Hans: 图像提示词，您可以查看 DallE 2 的官方文档 pt_BR: Image prompt, you can check the official documentation of DallE 2 llm_description: Image prompt of DallE 2, you should describe the image you want to generate as a list of words as possible as detailed form: llm diff --git a/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml b/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml index 7ba5c56889..0cea8af761 100644 --- a/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml +++ b/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml @@ -25,7 +25,7 @@ parameters: pt_BR: Prompt human_description: en_US: Image prompt, you can check the official documentation of DallE 3 - zh_Hans: 图像提示词，您可以查看DallE 3 的官方文档 + zh_Hans: 图像提示词，您可以查看 DallE 3 的官方文档 pt_BR: Image prompt, you can check the official documentation of DallE 3 llm_description: Image prompt of DallE 3, you should describe the image you want to generate as a list of words as possible as detailed form: llm diff --git a/api/core/tools/provider/builtin/stepfun/tools/image.yaml b/api/core/tools/provider/builtin/stepfun/tools/image.yaml index 1e20b157aa..dcc5bd2db2 100644 --- a/api/core/tools/provider/builtin/stepfun/tools/image.yaml +++ b/api/core/tools/provider/builtin/stepfun/tools/image.yaml @@ -25,7 +25,7 @@ parameters: pt_BR: Prompt human_description: en_US: Image prompt, you can check the official documentation of step-1x - zh_Hans: 图像提示词，您可以查看step-1x 的官方文档 + zh_Hans: 图像提示词，您可以查看 step-1x 的官方文档 pt_BR: Image prompt, you can check the official documentation of step-1x llm_description: Image prompt of step-1x you should describe the image you want to generate as a list of words as possible as detailed form: llm From 3e6a6bf396f0a493715ded04c08ee6cc2b705f64 Mon Sep 17 00:00:00 2001 From: "teruo OSHIDA(JP_SMN)" <37995617+monstaruos@users.noreply.github.com> Date: Fri, 23 Aug 2024 09:21:31 +0900 Subject: [PATCH 036/164] fix: wrong usage of created_at on the modal for API Key (#7548) --- web/app/components/develop/secret-key/secret-key-modal.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/web/app/components/develop/secret-key/secret-key-modal.tsx b/web/app/components/develop/secret-key/secret-key-modal.tsx index 01973ff028..fc780be05d 100644 --- a/web/app/components/develop/secret-key/secret-key-modal.tsx +++ b/web/app/components/develop/secret-key/secret-key-modal.tsx @@ -115,7 +115,7 @@ const SecretKeyModal = ({
{generateToken(api.token)}
{formatTime(Number(api.created_at), t('appLog.dateTimeFormat') as string)}
-
{api.last_used_at ? formatTime(Number(api.created_at), t('appLog.dateTimeFormat') as string) : t('appApi.never')}
+
{api.last_used_at ? formatTime(Number(api.last_used_at), t('appLog.dateTimeFormat') as string) : t('appApi.never')}
Date: Fri, 23 Aug 2024 08:33:41 +0800 Subject: [PATCH 037/164] fix: correct response structure in openapi documentation of app (#7556) --- .../components/develop/template/template_advanced_chat.en.mdx | 2 +- .../components/develop/template/template_advanced_chat.zh.mdx | 2 +- web/app/components/develop/template/template_chat.en.mdx | 4 ++-- web/app/components/develop/template/template_chat.zh.mdx | 4 ++-- 4 files changed, 6 insertions(+), 6 deletions(-) diff --git a/web/app/components/develop/template/template_advanced_chat.en.mdx b/web/app/components/develop/template/template_advanced_chat.en.mdx index cec42a4e32..6487ac79d7 100644 --- a/web/app/components/develop/template/template_advanced_chat.en.mdx +++ b/web/app/components/develop/template/template_advanced_chat.en.mdx @@ -285,7 +285,7 @@ Chat applications support session persistence, allowing previous chat history to data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " to", "created_at": 1679586595} data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595} data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595} - data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}}} + data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548}, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}} data: {"event": "tts_message", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": "qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"} data: {"event": "tts_message_end", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": ""} ``` diff --git a/web/app/components/develop/template/template_advanced_chat.zh.mdx b/web/app/components/develop/template/template_advanced_chat.zh.mdx index 97a2df01a6..33551509e5 100755 --- a/web/app/components/develop/template/template_advanced_chat.zh.mdx +++ b/web/app/components/develop/template/template_advanced_chat.zh.mdx @@ -296,7 +296,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx' data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " to", "created_at": 1679586595} data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595} data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595} - data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}}} + data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548}, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}} data: {"event": "tts_message", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": "qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"} data: {"event": "tts_message_end", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": ""} ``` diff --git a/web/app/components/develop/template/template_chat.en.mdx b/web/app/components/develop/template/template_chat.en.mdx index 00c02936a6..07840640f4 100644 --- a/web/app/components/develop/template/template_chat.en.mdx +++ b/web/app/components/develop/template/template_chat.en.mdx @@ -242,7 +242,7 @@ Chat applications support session persistence, allowing previous chat history to data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " to", "created_at": 1679586595} data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595} data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595} - data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}}} + data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548}, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}} data: {"event": "tts_message", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": "qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"} data: {"event": "tts_message_end", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": ""} ``` @@ -256,7 +256,7 @@ Chat applications support session persistence, allowing previous chat history to data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " to", "created_at": 1679586595} data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595} data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595} - data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}}} + data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548}, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}} data: {"event": "tts_message", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": "qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"} data: {"event": "tts_message_end", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": ""} ``` diff --git a/web/app/components/develop/template/template_chat.zh.mdx b/web/app/components/develop/template/template_chat.zh.mdx index 9323313d9f..727d884c1a 100644 --- a/web/app/components/develop/template/template_chat.zh.mdx +++ b/web/app/components/develop/template/template_chat.zh.mdx @@ -255,7 +255,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx' data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " to", "created_at": 1679586595} data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595} data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595} - data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}}} + data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548}, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}} data: {"event": "tts_message", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": "qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"} data: {"event": "tts_message_end", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": ""} ``` @@ -274,7 +274,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx' data: {"event": "agent_message", "id": "1fb10045-55fd-4040-99e6-d048d07cbad3", "task_id": "9cf1ddd7-f94b-459b-b942-b77b26c59e9b", "message_id": "1fb10045-55fd-4040-99e6-d048d07cbad3", "answer": " eyes wearing a bunny girl" ,"created_at": 1705639511, "conversation_id": "c216c595-2d89-438c-b33c-aae5ddddd142"} data: {"event": "agent_message", "id": "1fb10045-55fd-4040-99e6-d048d07cbad3", "task_id": "9cf1ddd7-f94b-459b-b942-b77b26c59e9b", "message_id": "1fb10045-55fd-4040-99e6-d048d07cbad3", "answer": " suit .", "created_at": 1705639511, "conversation_id": "c216c595-2d89-438c-b33c-aae5ddddd142"} data: {"event": "agent_thought", "id": "67a99dc1-4f82-42d3-b354-18d4594840c8", "task_id": "9cf1ddd7-f94b-459b-b942-b77b26c59e9b", "message_id": "1fb10045-55fd-4040-99e6-d048d07cbad3", "position": 2, "thought": "I have created an image of a cute Japanese anime girl with white hair and blue eyes wearing a bunny girl suit.", "observation": "", "tool": "", "tool_input": "", "created_at": 1705639511, "message_files": [], "conversation_id": "c216c595-2d89-438c-b33c-aae5ddddd142"} - data: {"event": "message_end", "task_id": "9cf1ddd7-f94b-459b-b942-b77b26c59e9b", "id": "1fb10045-55fd-4040-99e6-d048d07cbad3", "message_id": "1fb10045-55fd-4040-99e6-d048d07cbad3", "conversation_id": "c216c595-2d89-438c-b33c-aae5ddddd142", "metadata": {"usage": {"prompt_tokens": 305, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0003050", "completion_tokens": 97, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0001940", "total_tokens": 184, "total_price": "0.0002290", "currency": "USD", "latency": 1.771092874929309}}} + data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548}, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}} data: {"event": "tts_message", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": "qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"} data: {"event": "tts_message_end", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": ""} ``` From a40073afa446b4bb6bcd90477177baa6829949f1 Mon Sep 17 00:00:00 2001 From: Hanqing Zhao Date: Fri, 23 Aug 2024 08:34:22 +0800 Subject: [PATCH 038/164] Add N-to-1 warning translation for JP (#7553) --- web/i18n/ja-JP/dataset.ts | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/web/i18n/ja-JP/dataset.ts b/web/i18n/ja-JP/dataset.ts index 2cdc819cd5..5df8aaea7f 100644 --- a/web/i18n/ja-JP/dataset.ts +++ b/web/i18n/ja-JP/dataset.ts @@ -67,7 +67,9 @@ const translation = { semantic: 'セマンティクス', keyword: 'キーワード', }, - nTo1RetrievalLegacy: '製品計画によると、N To 1 Retrievalは9月に正式に廃止される予定です。それまでは通常通り使用できます。', + nTo1RetrievalLegacy: '製品計画によると、N-to-1 Retrievalは9月に正式に廃止される予定です。それまでは通常通り使用できます。', + nTo1RetrievalLegacyLink: '詳細を見る', + nTo1RetrievalLegacyLinkText: ' N-to-1 retrievalは9月に正式に廃止されます。', } export default translation From a24717765e5dd63519549a893230ae24fe6a4269 Mon Sep 17 00:00:00 2001 From: orangeclk Date: Fri, 23 Aug 2024 11:15:38 +0800 Subject: [PATCH 039/164] feat: forward zhipu finish_reason (#7560) --- api/core/model_runtime/model_providers/zhipuai/llm/llm.py | 1 + 1 file changed, 1 insertion(+) diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/llm.py b/api/core/model_runtime/model_providers/zhipuai/llm/llm.py index ff971964a8..13d8f5e5c3 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/llm.py +++ b/api/core/model_runtime/model_providers/zhipuai/llm/llm.py @@ -444,6 +444,7 @@ class ZhipuAILargeLanguageModel(_CommonZhipuaiAI, LargeLanguageModel): delta=LLMResultChunkDelta( index=delta.index, message=assistant_prompt_message, + finish_reason=delta.finish_reason ) ) From 3ac8a2871e2ea88d46f90ccd4fdc3f1d71c527af Mon Sep 17 00:00:00 2001 From: Nam Vu Date: Fri, 23 Aug 2024 10:16:37 +0700 Subject: [PATCH 040/164] chore: #6554 i18n (#7562) --- web/i18n/de-DE/dataset.ts | 26 ++++++++++++++++++++++++++ web/i18n/es-ES/dataset.ts | 26 ++++++++++++++++++++++++++ web/i18n/fr-FR/dataset.ts | 26 ++++++++++++++++++++++++++ web/i18n/hi-IN/dataset.ts | 26 ++++++++++++++++++++++++++ web/i18n/it-IT/dataset.ts | 26 ++++++++++++++++++++++++++ web/i18n/ko-KR/dataset.ts | 26 ++++++++++++++++++++++++++ web/i18n/pl-PL/dataset.ts | 26 ++++++++++++++++++++++++++ web/i18n/pt-BR/dataset.ts | 26 ++++++++++++++++++++++++++ web/i18n/ro-RO/dataset.ts | 26 ++++++++++++++++++++++++++ web/i18n/tr-TR/dataset.ts | 2 ++ web/i18n/uk-UA/dataset.ts | 26 ++++++++++++++++++++++++++ web/i18n/vi-VN/dataset.ts | 26 ++++++++++++++++++++++++++ web/i18n/zh-Hant/dataset.ts | 26 ++++++++++++++++++++++++++ 13 files changed, 314 insertions(+) diff --git a/web/i18n/de-DE/dataset.ts b/web/i18n/de-DE/dataset.ts index 53e8cdd447..c6586ceee8 100644 --- a/web/i18n/de-DE/dataset.ts +++ b/web/i18n/de-DE/dataset.ts @@ -45,6 +45,32 @@ const translation = { }, docsFailedNotice: 'Dokumente konnten nicht indiziert werden', retry: 'Wiederholen', + indexingTechnique: { + high_quality: 'HQ', + economy: 'ECO', + }, + indexingMethod: { + semantic_search: 'VEKTOR', + full_text_search: 'VOLLTEXT', + hybrid_search: 'HYBRID', + invertedIndex: 'INVERTIERT', + }, + mixtureHighQualityAndEconomicTip: 'Für die Mischung von hochwertigen und wirtschaftlichen Wissensbasen ist das Rerank-Modell erforderlich.', + inconsistentEmbeddingModelTip: 'Das Rerank-Modell ist erforderlich, wenn die Embedding-Modelle der ausgewählten Wissensbasen inkonsistent sind.', + retrievalSettings: 'Abrufeinstellungen', + rerankSettings: 'Rerank-Einstellungen', + weightedScore: { + title: 'Gewichtete Bewertung', + description: 'Durch Anpassung der zugewiesenen Gewichte bestimmt diese Rerank-Strategie, ob semantische oder Schlüsselwort-Übereinstimmung priorisiert werden soll.', + semanticFirst: 'Semantik zuerst', + keywordFirst: 'Schlüsselwort zuerst', + customized: 'Angepasst', + semantic: 'Semantisch', + keyword: 'Schlüsselwort', + }, + nTo1RetrievalLegacy: 'N-zu-1-Abruf wird ab September offiziell eingestellt. Es wird empfohlen, den neuesten Multi-Pfad-Abruf zu verwenden, um bessere Ergebnisse zu erzielen.', + nTo1RetrievalLegacyLink: 'Mehr erfahren', + nTo1RetrievalLegacyLinkText: 'N-zu-1-Abruf wird im September offiziell eingestellt.', } export default translation diff --git a/web/i18n/es-ES/dataset.ts b/web/i18n/es-ES/dataset.ts index 307187b605..e4fc362efa 100644 --- a/web/i18n/es-ES/dataset.ts +++ b/web/i18n/es-ES/dataset.ts @@ -45,6 +45,32 @@ const translation = { }, docsFailedNotice: 'no se pudieron indexar los documentos', retry: 'Reintentar', + indexingTechnique: { + high_quality: 'AC', + economy: 'ECO', + }, + indexingMethod: { + semantic_search: 'VECTOR', + full_text_search: 'TEXTO COMPLETO', + hybrid_search: 'HÍBRIDO', + invertedIndex: 'INVERTIDO', + }, + mixtureHighQualityAndEconomicTip: 'Se requiere el modelo de reclasificación para la mezcla de bases de conocimiento de alta calidad y económicas.', + inconsistentEmbeddingModelTip: 'Se requiere el modelo de reclasificación si los modelos de incrustación de las bases de conocimiento seleccionadas son inconsistentes.', + retrievalSettings: 'Configuración de recuperación', + rerankSettings: 'Configuración de reclasificación', + weightedScore: { + title: 'Puntuación ponderada', + description: 'Al ajustar los pesos asignados, esta estrategia de reclasificación determina si se debe priorizar la coincidencia semántica o de palabras clave.', + semanticFirst: 'Semántica primero', + keywordFirst: 'Palabra clave primero', + customized: 'Personalizado', + semantic: 'Semántico', + keyword: 'Palabra clave', + }, + nTo1RetrievalLegacy: 'La recuperación N-a-1 será oficialmente obsoleta a partir de septiembre. Se recomienda utilizar la última recuperación de múltiples rutas para obtener mejores resultados.', + nTo1RetrievalLegacyLink: 'Más información', + nTo1RetrievalLegacyLinkText: 'La recuperación N-a-1 será oficialmente obsoleta en septiembre.', } export default translation diff --git a/web/i18n/fr-FR/dataset.ts b/web/i18n/fr-FR/dataset.ts index 2ba5819c24..014168e006 100644 --- a/web/i18n/fr-FR/dataset.ts +++ b/web/i18n/fr-FR/dataset.ts @@ -45,6 +45,32 @@ const translation = { }, docsFailedNotice: 'Les documents n\'ont pas pu être indexés', retry: 'Réessayer', + indexingTechnique: { + high_quality: 'HQ', + economy: 'ÉCO', + }, + indexingMethod: { + semantic_search: 'VECTEUR', + full_text_search: 'TEXTE INTÉGRAL', + hybrid_search: 'HYBRIDE', + invertedIndex: 'INVERSÉ', + }, + mixtureHighQualityAndEconomicTip: 'Le modèle de reclassement est nécessaire pour le mélange de bases de connaissances de haute qualité et économiques.', + inconsistentEmbeddingModelTip: 'Le modèle de reclassement est nécessaire si les modèles d\'incorporation des bases de connaissances sélectionnées sont incohérents.', + retrievalSettings: 'Paramètres de récupération', + rerankSettings: 'Paramètres de reclassement', + weightedScore: { + title: 'Score pondéré', + description: 'En ajustant les poids attribués, cette stratégie de reclassement détermine s\'il faut prioriser la correspondance sémantique ou par mots-clés.', + semanticFirst: 'Sémantique d\'abord', + keywordFirst: 'Mot-clé d\'abord', + customized: 'Personnalisé', + semantic: 'Sémantique', + keyword: 'Mot-clé', + }, + nTo1RetrievalLegacy: 'La récupération N-à-1 sera officiellement obsolète à partir de septembre. Il est recommandé d\'utiliser la dernière récupération multi-chemins pour obtenir de meilleurs résultats.', + nTo1RetrievalLegacyLink: 'En savoir plus', + nTo1RetrievalLegacyLinkText: 'La récupération N-à-1 sera officiellement obsolète en septembre.', } export default translation diff --git a/web/i18n/hi-IN/dataset.ts b/web/i18n/hi-IN/dataset.ts index 859887a54d..de33113d2b 100644 --- a/web/i18n/hi-IN/dataset.ts +++ b/web/i18n/hi-IN/dataset.ts @@ -52,6 +52,32 @@ const translation = { }, docsFailedNotice: 'दस्तावेज़ों को अनुक्रमित करने में विफल', retry: 'पुनः प्रयास करें', + indexingTechnique: { + high_quality: 'उच्च गुणवत्ता', + economy: 'किफायती', + }, + indexingMethod: { + semantic_search: 'वेक्टर', + full_text_search: 'पूर्ण पाठ', + hybrid_search: 'हाइब्रिड', + invertedIndex: 'उल्टा', + }, + mixtureHighQualityAndEconomicTip: 'उच्च गुणवत्ता और किफायती ज्ञान आधारों के मिश्रण के लिए पुनः रैंकिंग मॉडल आवश्यक है।', + inconsistentEmbeddingModelTip: 'यदि चयनित ज्ञान आधारों के एम्बेडिंग मॉडल असंगत हैं, तो पुनः रैंकिंग मॉडल आवश्यक है।', + retrievalSettings: 'पुनर्प्राप्ति सेटिंग्स', + rerankSettings: 'पुनः रैंकिंग सेटिंग्स', + weightedScore: { + title: 'भारित स्कोर', + description: 'आवंटित भारों को समायोजित करके, यह पुनः रैंकिंग रणनीति निर्धारित करती है कि शब्दार्थ या कीवर्ड मिलान को प्राथमिकता दी जाए।', + semanticFirst: 'शब्दार्थ पहले', + keywordFirst: 'कीवर्ड पहले', + customized: 'अनुकूलित', + semantic: 'शब्दार्थ', + keyword: 'कीवर्ड', + }, + nTo1RetrievalLegacy: 'N-से-1 पुनर्प्राप्ति सितंबर से आधिकारिक तौर पर बंद कर दी जाएगी। बेहतर परिणाम प्राप्त करने के लिए नवीनतम बहु-मार्ग पुनर्प्राप्ति का उपयोग करने की सिफारिश की जाती है।', + nTo1RetrievalLegacyLink: 'और जानें', + nTo1RetrievalLegacyLinkText: 'N-से-1 पुनर्प्राप्ति सितंबर में आधिकारिक तौर पर बंद कर दी जाएगी।', } export default translation diff --git a/web/i18n/it-IT/dataset.ts b/web/i18n/it-IT/dataset.ts index f191f6f2a6..9223a3a96d 100644 --- a/web/i18n/it-IT/dataset.ts +++ b/web/i18n/it-IT/dataset.ts @@ -52,6 +52,32 @@ const translation = { }, docsFailedNotice: 'documenti non riusciti a essere indicizzati', retry: 'Riprova', + indexingTechnique: { + high_quality: 'AQ', + economy: 'ECO', + }, + indexingMethod: { + semantic_search: 'VETTORE', + full_text_search: 'TESTO COMPLETO', + hybrid_search: 'IBRIDO', + invertedIndex: 'INVERTITO', + }, + mixtureHighQualityAndEconomicTip: 'Il modello di riclassificazione è necessario per la miscela di basi di conoscenza di alta qualità ed economiche.', + inconsistentEmbeddingModelTip: 'Il modello di riclassificazione è necessario se i modelli di embedding delle basi di conoscenza selezionate sono incoerenti.', + retrievalSettings: 'Impostazioni di recupero', + rerankSettings: 'Impostazioni di riclassificazione', + weightedScore: { + title: 'Punteggio ponderato', + description: 'Regolando i pesi assegnati, questa strategia di riclassificazione determina se dare priorità alla corrispondenza semantica o per parole chiave.', + semanticFirst: 'Semantica prima', + keywordFirst: 'Parola chiave prima', + customized: 'Personalizzato', + semantic: 'Semantico', + keyword: 'Parola chiave', + }, + nTo1RetrievalLegacy: 'Il recupero N-a-1 sarà ufficialmente deprecato da settembre. Si consiglia di utilizzare il più recente recupero multi-percorso per ottenere risultati migliori.', + nTo1RetrievalLegacyLink: 'Scopri di più', + nTo1RetrievalLegacyLinkText: 'Il recupero N-a-1 sarà ufficialmente deprecato a settembre.', } export default translation diff --git a/web/i18n/ko-KR/dataset.ts b/web/i18n/ko-KR/dataset.ts index 27a5d7320e..907a1f21b6 100644 --- a/web/i18n/ko-KR/dataset.ts +++ b/web/i18n/ko-KR/dataset.ts @@ -44,6 +44,32 @@ const translation = { }, docsFailedNotice: '문서 인덱스에 실패했습니다', retry: '재시도', + indexingTechnique: { + high_quality: 'HQ', + economy: '이코노미', + }, + indexingMethod: { + semantic_search: '벡터', + full_text_search: '전체 텍스트', + hybrid_search: '하이브리드', + invertedIndex: '역인덱스', + }, + mixtureHighQualityAndEconomicTip: '고품질과 경제적 지식 베이스의 혼합을 위해서는 재순위 모델이 필요합니다.', + inconsistentEmbeddingModelTip: '선택된 지식 베이스의 임베딩 모델이 일관되지 않은 경우 재순위 모델이 필요합니다.', + retrievalSettings: '검색 설정', + rerankSettings: '재순위 설정', + weightedScore: { + title: '가중 점수', + description: '할당된 가중치를 조정함으로써, 이 재순위 전략은 의미론적 일치 또는 키워드 일치 중 어느 것을 우선시할지 결정합니다.', + semanticFirst: '의미론 우선', + keywordFirst: '키워드 우선', + customized: '사용자 정의', + semantic: '의미론적', + keyword: '키워드', + }, + nTo1RetrievalLegacy: 'N-대-1 검색은 9월부터 공식적으로 더 이상 사용되지 않습니다. 더 나은 결과를 얻으려면 최신 다중 경로 검색을 사용하는 것이 좋습니다.', + nTo1RetrievalLegacyLink: '자세히 알아보기', + nTo1RetrievalLegacyLinkText: 'N-대-1 검색은 9월에 공식적으로 더 이상 사용되지 않습니다.', } export default translation diff --git a/web/i18n/pl-PL/dataset.ts b/web/i18n/pl-PL/dataset.ts index 5351b3c739..14de4eaf40 100644 --- a/web/i18n/pl-PL/dataset.ts +++ b/web/i18n/pl-PL/dataset.ts @@ -51,6 +51,32 @@ const translation = { }, docsFailedNotice: 'nie udało się zindeksować dokumentów', retry: 'Ponów', + indexingTechnique: { + high_quality: 'WJ', + economy: 'EKO', + }, + indexingMethod: { + semantic_search: 'WEKTOR', + full_text_search: 'PEŁNY TEKST', + hybrid_search: 'HYBRYDOWY', + invertedIndex: 'ODWRÓCONY', + }, + mixtureHighQualityAndEconomicTip: 'Model ponownego rankingu jest wymagany dla mieszanki wysokiej jakości i ekonomicznych baz wiedzy.', + inconsistentEmbeddingModelTip: 'Model ponownego rankingu jest wymagany, jeśli modele osadzania wybranych baz wiedzy są niespójne.', + retrievalSettings: 'Ustawienia wyszukiwania', + rerankSettings: 'Ustawienia ponownego rankingu', + weightedScore: { + title: 'Ważona ocena', + description: 'Poprzez dostosowanie przypisanych wag, ta strategia ponownego rankingu określa, czy priorytetowo traktować dopasowanie semantyczne czy słów kluczowych.', + semanticFirst: 'Najpierw semantyczne', + keywordFirst: 'Najpierw słowa kluczowe', + customized: 'Dostosowane', + semantic: 'Semantyczne', + keyword: 'Słowo kluczowe', + }, + nTo1RetrievalLegacy: 'Wyszukiwanie N-do-1 zostanie oficjalnie wycofane od września. Zaleca się korzystanie z najnowszego wyszukiwania wielościeżkowego, aby uzyskać lepsze wyniki.', + nTo1RetrievalLegacyLink: 'Dowiedz się więcej', + nTo1RetrievalLegacyLinkText: 'Wyszukiwanie N-do-1 zostanie oficjalnie wycofane we wrześniu.', } export default translation diff --git a/web/i18n/pt-BR/dataset.ts b/web/i18n/pt-BR/dataset.ts index f6f76e4626..8710879149 100644 --- a/web/i18n/pt-BR/dataset.ts +++ b/web/i18n/pt-BR/dataset.ts @@ -44,6 +44,32 @@ const translation = { }, docsFailedNotice: 'documentos falharam ao serem indexados', retry: 'Tentar novamente', + indexingTechnique: { + high_quality: 'AQ', + economy: 'ECO', + }, + indexingMethod: { + semantic_search: 'VETOR', + full_text_search: 'TEXTO COMPLETO', + hybrid_search: 'HÍBRIDO', + invertedIndex: 'INVERTIDO', + }, + mixtureHighQualityAndEconomicTip: 'O modelo de reclassificação é necessário para a mistura de bases de conhecimento de alta qualidade e econômicas.', + inconsistentEmbeddingModelTip: 'O modelo de reclassificação é necessário se os modelos de incorporação das bases de conhecimento selecionadas forem inconsistentes.', + retrievalSettings: 'Configurações de Recuperação', + rerankSettings: 'Configurações de Reclassificação', + weightedScore: { + title: 'Pontuação Ponderada', + description: 'Ao ajustar os pesos atribuídos, esta estratégia de reclassificação determina se deve priorizar a correspondência semântica ou por palavras-chave.', + semanticFirst: 'Semântica primeiro', + keywordFirst: 'Palavra-chave primeiro', + customized: 'Personalizado', + semantic: 'Semântico', + keyword: 'Palavra-chave', + }, + nTo1RetrievalLegacy: 'A recuperação N-para-1 será oficialmente descontinuada a partir de setembro. Recomenda-se usar a recuperação de múltiplos caminhos mais recente para obter melhores resultados.', + nTo1RetrievalLegacyLink: 'Saiba mais', + nTo1RetrievalLegacyLinkText: 'A recuperação N-para-1 será oficialmente descontinuada em setembro.', } export default translation diff --git a/web/i18n/ro-RO/dataset.ts b/web/i18n/ro-RO/dataset.ts index 363d882b09..3e605baf92 100644 --- a/web/i18n/ro-RO/dataset.ts +++ b/web/i18n/ro-RO/dataset.ts @@ -45,6 +45,32 @@ const translation = { }, docsFailedNotice: 'documentele nu au putut fi indexate', retry: 'Reîncercați', + indexingTechnique: { + high_quality: 'IC', + economy: 'ECO', + }, + indexingMethod: { + semantic_search: 'VECTOR', + full_text_search: 'TEXT COMPLET', + hybrid_search: 'HIBRID', + invertedIndex: 'INVERSAT', + }, + mixtureHighQualityAndEconomicTip: 'Modelul de reclasificare este necesar pentru amestecul de baze de cunoștințe de înaltă calitate și economice.', + inconsistentEmbeddingModelTip: 'Modelul de reclasificare este necesar dacă modelele de încorporare ale bazelor de cunoștințe selectate sunt inconsistente.', + retrievalSettings: 'Setări de recuperare', + rerankSettings: 'Setări de reclasificare', + weightedScore: { + title: 'Scor ponderat', + description: 'Prin ajustarea ponderilor atribuite, această strategie de reclasificare determină dacă să prioritizeze potrivirea semantică sau pe cea a cuvintelor cheie.', + semanticFirst: 'Semantic primul', + keywordFirst: 'Cuvânt cheie primul', + customized: 'Personalizat', + semantic: 'Semantic', + keyword: 'Cuvânt cheie', + }, + nTo1RetrievalLegacy: 'Recuperarea N-la-1 va fi oficial depreciată din septembrie. Se recomandă utilizarea celei mai recente recuperări cu căi multiple pentru a obține rezultate mai bune.', + nTo1RetrievalLegacyLink: 'Află mai multe', + nTo1RetrievalLegacyLinkText: 'Recuperarea N-la-1 va fi oficial depreciată în septembrie.', } export default translation diff --git a/web/i18n/tr-TR/dataset.ts b/web/i18n/tr-TR/dataset.ts index 68bd5860bb..31d483f504 100644 --- a/web/i18n/tr-TR/dataset.ts +++ b/web/i18n/tr-TR/dataset.ts @@ -68,6 +68,8 @@ const translation = { keyword: 'Anahtar Kelime', }, nTo1RetrievalLegacy: 'Geri alım stratejisinin optimizasyonu ve yükseltilmesi nedeniyle, N-to-1 geri alımı Eylül ayında resmi olarak kullanım dışı kalacaktır. O zamana kadar normal şekilde kullanabilirsiniz.', + nTo1RetrievalLegacyLink: 'Daha fazla bilgi edin', + nTo1RetrievalLegacyLinkText: 'N-1 geri alma Eylül ayında resmi olarak kullanımdan kaldırılacaktır.', } export default translation diff --git a/web/i18n/uk-UA/dataset.ts b/web/i18n/uk-UA/dataset.ts index fb44b4107a..3bf59ed33b 100644 --- a/web/i18n/uk-UA/dataset.ts +++ b/web/i18n/uk-UA/dataset.ts @@ -45,6 +45,32 @@ const translation = { }, docsFailedNotice: 'документи не вдалося проіндексувати', retry: 'Повторити спробу', + indexingTechnique: { + high_quality: 'ВЯ', + economy: 'ЕКО', + }, + indexingMethod: { + semantic_search: 'ВЕКТОР', + full_text_search: 'ПОВНИЙ ТЕКСТ', + hybrid_search: 'ГІБРИД', + invertedIndex: 'ІНВЕРТОВАНИЙ', + }, + mixtureHighQualityAndEconomicTip: 'Модель перерангування потрібна для суміші високоякісних та економічних баз знань.', + inconsistentEmbeddingModelTip: 'Модель перерангування потрібна, якщо моделі вбудовування вибраних баз знань є несумісними.', + retrievalSettings: 'Налаштування пошуку', + rerankSettings: 'Налаштування перерангування', + weightedScore: { + title: 'Зважена оцінка', + description: 'Регулюючи призначені ваги, ця стратегія перерангування визначає, чи надавати пріоритет семантичному чи ключовому відповідності.', + semanticFirst: 'Спочатку семантичний', + keywordFirst: 'Спочатку ключове слово', + customized: 'Налаштований', + semantic: 'Семантичний', + keyword: 'Ключове слово', + }, + nTo1RetrievalLegacy: 'N-до-1 пошук буде офіційно застарілим з вересня. Рекомендується використовувати найновіший багатошляховий пошук для отримання кращих результатів.', + nTo1RetrievalLegacyLink: 'Дізнатися більше', + nTo1RetrievalLegacyLinkText: 'N-до-1 пошук буде офіційно застарілим у вересні.', } export default translation diff --git a/web/i18n/vi-VN/dataset.ts b/web/i18n/vi-VN/dataset.ts index 27dad01f51..81b4597800 100644 --- a/web/i18n/vi-VN/dataset.ts +++ b/web/i18n/vi-VN/dataset.ts @@ -45,6 +45,32 @@ const translation = { }, docsFailedNotice: 'tài liệu không được lập chỉ mục', retry: 'Thử lại', + indexingTechnique: { + high_quality: 'CHẤT LƯỢNG', + economy: 'TIẾT KIỆM', + }, + indexingMethod: { + semantic_search: 'VECTOR', + full_text_search: 'VĂN BẢN ĐẦY ĐỦ', + hybrid_search: 'KẾT HỢP', + invertedIndex: 'ĐẢO NGƯỢC', + }, + mixtureHighQualityAndEconomicTip: 'Mô hình xếp hạng lại là cần thiết cho sự kết hợp của các cơ sở kiến thức chất lượng cao và tiết kiệm.', + inconsistentEmbeddingModelTip: 'Mô hình xếp hạng lại là cần thiết nếu các mô hình nhúng của các cơ sở kiến thức được chọn không nhất quán.', + retrievalSettings: 'Cài đặt truy xuất', + rerankSettings: 'Cài đặt xếp hạng lại', + weightedScore: { + title: 'Điểm số có trọng số', + description: 'Bằng cách điều chỉnh trọng số được gán, chiến lược xếp hạng lại này xác định liệu ưu tiên khớp ngữ nghĩa hay từ khóa.', + semanticFirst: 'Ngữ nghĩa trước', + keywordFirst: 'Từ khóa trước', + customized: 'Tùy chỉnh', + semantic: 'Ngữ nghĩa', + keyword: 'Từ khóa', + }, + nTo1RetrievalLegacy: 'Truy xuất N-đến-1 sẽ chính thức bị loại bỏ từ tháng 9. Khuyến nghị sử dụng truy xuất đa đường dẫn mới nhất để có kết quả tốt hơn.', + nTo1RetrievalLegacyLink: 'Tìm hiểu thêm', + nTo1RetrievalLegacyLinkText: 'Truy xuất N-đến-1 sẽ chính thức bị loại bỏ vào tháng 9.', } export default translation diff --git a/web/i18n/zh-Hant/dataset.ts b/web/i18n/zh-Hant/dataset.ts index 8de7bc487f..1e011bc987 100644 --- a/web/i18n/zh-Hant/dataset.ts +++ b/web/i18n/zh-Hant/dataset.ts @@ -45,6 +45,32 @@ const translation = { }, docsFailedNotice: '文件無法被索引', retry: '重試', + indexingTechnique: { + high_quality: '高質量', + economy: '經濟', + }, + indexingMethod: { + semantic_search: '向量', + full_text_search: '全文', + hybrid_search: '混合', + invertedIndex: '倒排索引', + }, + mixtureHighQualityAndEconomicTip: '混合高質量和經濟知識庫需要重新排序模型。', + inconsistentEmbeddingModelTip: '如果選定知識庫的嵌入模型不一致，則需要重新排序模型。', + retrievalSettings: '檢索設置', + rerankSettings: '重新排序設置', + weightedScore: { + title: '加權分數', + description: '通過調整分配的權重，此重新排序策略決定是優先考慮語義匹配還是關鍵詞匹配。', + semanticFirst: '語義優先', + keywordFirst: '關鍵詞優先', + customized: '自定義', + semantic: '語義', + keyword: '關鍵詞', + }, + nTo1RetrievalLegacy: 'N對1檢索將從9月起正式棄用。建議使用最新的多路徑檢索以獲得更好的結果。', + nTo1RetrievalLegacyLink: '了解更多', + nTo1RetrievalLegacyLinkText: 'N對1檢索將於9月正式棄用。', } export default translation From a71fc185309f8b1fdc1dc079b3f6185848189091 Mon Sep 17 00:00:00 2001 From: Yi Xiao <54782454+YIXIAO0@users.noreply.github.com> Date: Fri, 23 Aug 2024 13:11:55 +0800 Subject: [PATCH 041/164] feat: set workflow zoom range for shortcut (#7563) --- .../workflow/hooks/use-shortcuts.ts | 21 +++++++++++++++---- 1 file changed, 17 insertions(+), 4 deletions(-) diff --git a/web/app/components/workflow/hooks/use-shortcuts.ts b/web/app/components/workflow/hooks/use-shortcuts.ts index 9484f9c16e..666c3a45ba 100644 --- a/web/app/components/workflow/hooks/use-shortcuts.ts +++ b/web/app/components/workflow/hooks/use-shortcuts.ts @@ -37,12 +37,25 @@ export const useShortcuts = (): void => { const { handleLayout } = useWorkflowOrganize() const { - zoomIn, - zoomOut, zoomTo, + getZoom, fitView, } = useReactFlow() + // Zoom out to a minimum of 0.5 for shortcut + const constrainedZoomOut = () => { + const currentZoom = getZoom() + const newZoom = Math.max(currentZoom - 0.1, 0.5) + zoomTo(newZoom) + } + + // Zoom in to a maximum of 1 for shortcut + const constrainedZoomIn = () => { + const currentZoom = getZoom() + const newZoom = Math.min(currentZoom + 0.1, 1) + zoomTo(newZoom) + } + const shouldHandleShortcut = useCallback((e: KeyboardEvent) => { const { showFeaturesPanel } = workflowStore.getState() return !showFeaturesPanel && !isEventTargetInputArea(e.target as HTMLElement) @@ -165,7 +178,7 @@ export const useShortcuts = (): void => { useKeyPress(`${getKeyboardKeyCodeBySystem('ctrl')}.dash`, (e) => { if (shouldHandleShortcut(e)) { e.preventDefault() - zoomOut() + constrainedZoomOut() handleSyncWorkflowDraft() } }, { @@ -176,7 +189,7 @@ export const useShortcuts = (): void => { useKeyPress(`${getKeyboardKeyCodeBySystem('ctrl')}.equalsign`, (e) => { if (shouldHandleShortcut(e)) { e.preventDefault() - zoomIn() + constrainedZoomIn() handleSyncWorkflowDraft() } }, { From 9618f86980a69ffaa5f48373267dc5aa22c3771a Mon Sep 17 00:00:00 2001 From: Yi Xiao <54782454+YIXIAO0@users.noreply.github.com> Date: Fri, 23 Aug 2024 13:14:17 +0800 Subject: [PATCH 042/164] fix: workflow context menu popup issue (#7530) --- web/app/components/workflow/node-contextmenu.tsx | 12 +++++++++--- web/app/components/workflow/panel-contextmenu.tsx | 8 +++++++- 2 files changed, 16 insertions(+), 4 deletions(-) diff --git a/web/app/components/workflow/node-contextmenu.tsx b/web/app/components/workflow/node-contextmenu.tsx index adfed37b26..311bf1fddf 100644 --- a/web/app/components/workflow/node-contextmenu.tsx +++ b/web/app/components/workflow/node-contextmenu.tsx @@ -1,5 +1,6 @@ import { memo, + useEffect, useRef, } from 'react' import { useClickAway } from 'ahooks' @@ -9,13 +10,18 @@ import type { Node } from './types' import { useStore } from './store' import { usePanelInteractions } from './hooks' -const PanelContextmenu = () => { +const NodeContextmenu = () => { const ref = useRef(null) const nodes = useNodes() - const { handleNodeContextmenuCancel } = usePanelInteractions() + const { handleNodeContextmenuCancel, handlePaneContextmenuCancel } = usePanelInteractions() const nodeMenu = useStore(s => s.nodeMenu) const currentNode = nodes.find(node => node.id === nodeMenu?.nodeId) as Node + useEffect(() => { + if (nodeMenu) + handlePaneContextmenuCancel() + }, [nodeMenu, handlePaneContextmenuCancel]) + useClickAway(() => { handleNodeContextmenuCancel() }, ref) @@ -42,4 +48,4 @@ const PanelContextmenu = () => { ) } -export default memo(PanelContextmenu) +export default memo(NodeContextmenu) diff --git a/web/app/components/workflow/panel-contextmenu.tsx b/web/app/components/workflow/panel-contextmenu.tsx index 502967ce2c..f01e3037a2 100644 --- a/web/app/components/workflow/panel-contextmenu.tsx +++ b/web/app/components/workflow/panel-contextmenu.tsx @@ -1,5 +1,6 @@ import { memo, + useEffect, useRef, } from 'react' import { useTranslation } from 'react-i18next' @@ -23,11 +24,16 @@ const PanelContextmenu = () => { const clipboardElements = useStore(s => s.clipboardElements) const setShowImportDSLModal = useStore(s => s.setShowImportDSLModal) const { handleNodesPaste } = useNodesInteractions() - const { handlePaneContextmenuCancel } = usePanelInteractions() + const { handlePaneContextmenuCancel, handleNodeContextmenuCancel } = usePanelInteractions() const { handleStartWorkflowRun } = useWorkflowStartRun() const { handleAddNote } = useOperator() const { exportCheck } = useDSL() + useEffect(() => { + if (panelMenu) + handleNodeContextmenuCancel() + }, [panelMenu, handleNodeContextmenuCancel]) + useClickAway(() => { handlePaneContextmenuCancel() }, ref) From 0a7ab9a47dc4858ed6d0cf8279add6ad299b6031 Mon Sep 17 00:00:00 2001 From: edo1z <89882017+edo1z@users.noreply.github.com> Date: Fri, 23 Aug 2024 14:16:15 +0900 Subject: [PATCH 043/164] fix: incorrect duplication when no target node is selected (#7539) --- .../workflow/hooks/use-nodes-interactions.ts | 30 ++++++++++++------- .../panel-operator/panel-operator-popup.tsx | 2 +- 2 files changed, 21 insertions(+), 11 deletions(-) diff --git a/web/app/components/workflow/hooks/use-nodes-interactions.ts b/web/app/components/workflow/hooks/use-nodes-interactions.ts index 87d1b4de8c..3645e18449 100644 --- a/web/app/components/workflow/hooks/use-nodes-interactions.ts +++ b/web/app/components/workflow/hooks/use-nodes-interactions.ts @@ -1027,7 +1027,7 @@ export const useNodesInteractions = () => { handleNodeSelect(node.id) }, [workflowStore, handleNodeSelect]) - const handleNodesCopy = useCallback(() => { + const handleNodesCopy = useCallback((nodeId?: string) => { if (getNodesReadOnly()) return @@ -1038,17 +1038,27 @@ export const useNodesInteractions = () => { } = store.getState() const nodes = getNodes() - const bundledNodes = nodes.filter(node => node.data._isBundled && node.data.type !== BlockEnum.Start && !node.data.isInIteration) - if (bundledNodes.length) { - setClipboardElements(bundledNodes) - return + if (nodeId) { + // If nodeId is provided, copy that specific node + const nodeToCopy = nodes.find(node => node.id === nodeId && node.data.type !== BlockEnum.Start) + if (nodeToCopy) + setClipboardElements([nodeToCopy]) } + else { + // If no nodeId is provided, fall back to the current behavior + const bundledNodes = nodes.filter(node => node.data._isBundled && node.data.type !== BlockEnum.Start && !node.data.isInIteration) - const selectedNode = nodes.find(node => node.data.selected && node.data.type !== BlockEnum.Start) + if (bundledNodes.length) { + setClipboardElements(bundledNodes) + return + } - if (selectedNode) - setClipboardElements([selectedNode]) + const selectedNode = nodes.find(node => node.data.selected && node.data.type !== BlockEnum.Start) + + if (selectedNode) + setClipboardElements([selectedNode]) + } }, [getNodesReadOnly, store, workflowStore]) const handleNodesPaste = useCallback(() => { @@ -1128,11 +1138,11 @@ export const useNodesInteractions = () => { } }, [getNodesReadOnly, workflowStore, store, reactflow, saveStateToHistory, handleSyncWorkflowDraft, handleNodeIterationChildrenCopy]) - const handleNodesDuplicate = useCallback(() => { + const handleNodesDuplicate = useCallback((nodeId?: string) => { if (getNodesReadOnly()) return - handleNodesCopy() + handleNodesCopy(nodeId) handleNodesPaste() }, [getNodesReadOnly, handleNodesCopy, handleNodesPaste]) diff --git a/web/app/components/workflow/nodes/_base/components/panel-operator/panel-operator-popup.tsx b/web/app/components/workflow/nodes/_base/components/panel-operator/panel-operator-popup.tsx index aade4d8be8..bd642fcd66 100644 --- a/web/app/components/workflow/nodes/_base/components/panel-operator/panel-operator-popup.tsx +++ b/web/app/components/workflow/nodes/_base/components/panel-operator/panel-operator-popup.tsx @@ -138,7 +138,7 @@ const PanelOperatorPopup = ({ className='flex items-center justify-between px-3 h-8 text-sm text-gray-700 rounded-lg cursor-pointer hover:bg-gray-50' onClick={() => { onClosePopup() - handleNodesDuplicate() + handleNodesDuplicate(id) }} > {t('workflow.common.duplicate')} From 399d7cd596e2d276e7c6df366c92293488c6e3e9 Mon Sep 17 00:00:00 2001 From: Joel Date: Fri, 23 Aug 2024 14:30:26 +0800 Subject: [PATCH 044/164] chore: improve the check time of variable name (#7569) --- .../config-var/config-modal/index.tsx | 37 ++++++++++--------- web/i18n/de-DE/app-debug.ts | 10 ++--- web/i18n/en-US/app-debug.ts | 11 +++--- web/i18n/es-ES/app-debug.ts | 10 ++--- web/i18n/fa-IR/app-debug.ts | 10 ++--- web/i18n/fr-FR/app-debug.ts | 10 ++--- web/i18n/hi-IN/app-debug.ts | 10 ++--- web/i18n/it-IT/app-debug.ts | 10 ++--- web/i18n/ja-JP/app-debug.ts | 10 ++--- web/i18n/ko-KR/app-debug.ts | 10 ++--- web/i18n/pl-PL/app-debug.ts | 10 ++--- web/i18n/pt-BR/app-debug.ts | 10 ++--- web/i18n/ro-RO/app-debug.ts | 10 ++--- web/i18n/tr-TR/app-debug.ts | 10 ++--- web/i18n/uk-UA/app-debug.ts | 10 ++--- web/i18n/vi-VN/app-debug.ts | 10 ++--- web/i18n/zh-Hans/app-debug.ts | 11 +++--- web/i18n/zh-Hant/app-debug.ts | 10 ++--- 18 files changed, 105 insertions(+), 104 deletions(-) diff --git a/web/app/components/app/configuration/config-var/config-modal/index.tsx b/web/app/components/app/configuration/config-var/config-modal/index.tsx index 20fcf49de1..3296c77fb2 100644 --- a/web/app/components/app/configuration/config-var/config-modal/index.tsx +++ b/web/app/components/app/configuration/config-var/config-modal/index.tsx @@ -42,18 +42,19 @@ const ConfigModal: FC = ({ const { type, label, variable, options, max_length } = tempPayload const isStringInput = type === InputVarType.textInput || type === InputVarType.paragraph + const checkVariableName = useCallback((value: string) => { + const { isValid, errorMessageKey } = checkKeys([value], false) + if (!isValid) { + Toast.notify({ + type: 'error', + message: t(`appDebug.varKeyError.${errorMessageKey}`, { key: t('appDebug.variableConig.varName') }), + }) + return false + } + return true + }, [t]) const handlePayloadChange = useCallback((key: string) => { return (value: any) => { - if (key === 'variable') { - const { isValid, errorKey, errorMessageKey } = checkKeys([value], true) - if (!isValid) { - Toast.notify({ - type: 'error', - message: t(`appDebug.varKeyError.${errorMessageKey}`, { key: errorKey }), - }) - return - } - } setTempPayload((prev) => { const newPayload = { ...prev, @@ -63,19 +64,20 @@ const ConfigModal: FC = ({ return newPayload }) } - }, [t]) + }, []) const handleVarKeyBlur = useCallback((e: any) => { - if (tempPayload.label) + const varName = e.target.value + if (!checkVariableName(varName) || tempPayload.label) return setTempPayload((prev) => { return { ...prev, - label: e.target.value, + label: varName, } }) - }, [tempPayload]) + }, [checkVariableName, tempPayload.label]) const handleConfirm = () => { const moreInfo = tempPayload.variable === payload?.variable @@ -84,10 +86,11 @@ const ConfigModal: FC = ({ type: ChangeType.changeVarName, payload: { beforeKey: payload?.variable || '', afterKey: tempPayload.variable }, } - if (!tempPayload.variable) { - Toast.notify({ type: 'error', message: t('appDebug.variableConig.errorMsg.varNameRequired') }) + + const isVariableNameValid = checkVariableName(tempPayload.variable) + if (!isVariableNameValid) return - } + // TODO: check if key already exists. should the consider the edit case // if (varKeys.map(key => key?.trim()).includes(tempPayload.variable.trim())) { // Toast.notify({ diff --git a/web/i18n/de-DE/app-debug.ts b/web/i18n/de-DE/app-debug.ts index e78b6c0d7a..acb3f53904 100644 --- a/web/i18n/de-DE/app-debug.ts +++ b/web/i18n/de-DE/app-debug.ts @@ -237,11 +237,11 @@ const translation = { typeSelect: 'Auswählen', }, varKeyError: { - canNoBeEmpty: 'Variablenschlüssel darf nicht leer sein', - tooLong: 'Variablenschlüssel: {{key}} zu lang. Darf nicht länger als 30 Zeichen sein', - notValid: 'Variablenschlüssel: {{key}} ist ungültig. Darf nur Buchstaben, Zahlen und Unterstriche enthalten', - notStartWithNumber: 'Variablenschlüssel: {{key}} darf nicht mit einer Zahl beginnen', - keyAlreadyExists: 'Variablenschlüssel: :{{key}} existiert bereits', + canNoBeEmpty: '{{key}} ist erforderlich', + tooLong: '{{key}} zu lang. Darf nicht länger als 30 Zeichen sein', + notValid: '{{key}} ist ungültig. Darf nur Buchstaben, Zahlen und Unterstriche enthalten', + notStartWithNumber: '{{key}} darf nicht mit einer Zahl beginnen', + keyAlreadyExists: '{{key}} existiert bereits', }, otherError: { promptNoBeEmpty: 'Prompt darf nicht leer sein', diff --git a/web/i18n/en-US/app-debug.ts b/web/i18n/en-US/app-debug.ts index a4e8a4f7fa..86c5f720c3 100644 --- a/web/i18n/en-US/app-debug.ts +++ b/web/i18n/en-US/app-debug.ts @@ -290,11 +290,11 @@ const translation = { typeSelect: 'Select', }, varKeyError: { - canNoBeEmpty: 'Variable key can not be empty', - tooLong: 'Variable key: {{key}} too length. Can not be longer then 30 characters', - notValid: 'Variable key: {{key}} is invalid. Can only contain letters, numbers, and underscores', - notStartWithNumber: 'Variable key: {{key}} can not start with a number', - keyAlreadyExists: 'Variable key: :{{key}} already exists', + canNoBeEmpty: '{{key}} is required', + tooLong: '{{key}} is too length. Can not be longer then 30 characters', + notValid: '{{key}} is invalid. Can only contain letters, numbers, and underscores', + notStartWithNumber: '{{key}} can not start with a number', + keyAlreadyExists: '{{key}} already exists', }, otherError: { promptNoBeEmpty: 'Prompt can not be empty', @@ -323,7 +323,6 @@ const translation = { 'content': 'Content', 'required': 'Required', 'errorMsg': { - varNameRequired: 'Variable name is required', labelNameRequired: 'Label name is required', varNameCanBeRepeat: 'Variable name can not be repeated', atLeastOneOption: 'At least one option is required', diff --git a/web/i18n/es-ES/app-debug.ts b/web/i18n/es-ES/app-debug.ts index 9e309a7d62..68088c26a6 100644 --- a/web/i18n/es-ES/app-debug.ts +++ b/web/i18n/es-ES/app-debug.ts @@ -248,11 +248,11 @@ const translation = { typeSelect: 'Seleccionar', }, varKeyError: { - canNoBeEmpty: 'La clave de la variable no puede estar vacía', - tooLong: 'Clave de la variable: {{key}} demasiado larga. No puede tener más de 30 caracteres', - notValid: 'Clave de la variable: {{key}} no es válida. Solo puede contener letras, números y guiones bajos', - notStartWithNumber: 'Clave de la variable: {{key}} no puede comenzar con un número', - keyAlreadyExists: 'Clave de la variable: {{key}} ya existe', + canNoBeEmpty: 'Se requiere {{key}}', + tooLong: '{{key}} demasiado larga. No puede tener más de 30 caracteres', + notValid: '{{key}} no es válida. Solo puede contener letras, números y guiones bajos', + notStartWithNumber: '{{key}} no puede comenzar con un número', + keyAlreadyExists: '{{key}} ya existe', }, otherError: { promptNoBeEmpty: 'La indicación no puede estar vacía', diff --git a/web/i18n/fa-IR/app-debug.ts b/web/i18n/fa-IR/app-debug.ts index 863f47bb18..1ce222581d 100644 --- a/web/i18n/fa-IR/app-debug.ts +++ b/web/i18n/fa-IR/app-debug.ts @@ -283,11 +283,11 @@ const translation = { typeSelect: 'انتخاب', }, varKeyError: { - canNoBeEmpty: 'کلید متغیر نمی‌تواند خالی باشد', - tooLong: 'کلید متغیر: {{key}} طولانی است. نمی‌تواند بیش از 30 کاراکتر باشد', - notValid: 'کلید متغیر: {{key}} نامعتبر است. فقط می‌تواند شامل حروف، اعداد و زیرخط باشد', - notStartWithNumber: 'کلید متغیر: {{key}} نمی‌تواند با عدد شروع شود', - keyAlreadyExists: 'کلید متغیر: :{{key}} از قبل وجود دارد', + canNoBeEmpty: '{{key}} مطلوب', + tooLong: '{{key}} طولانی است. نمی‌تواند بیش از 30 کاراکتر باشد', + notValid: '{{key}} نامعتبر است. فقط می‌تواند شامل حروف، اعداد و زیرخط باشد', + notStartWithNumber: '{{key}} نمی‌تواند با عدد شروع شود', + keyAlreadyExists: '{{key}} از قبل وجود دارد', }, otherError: { promptNoBeEmpty: 'پرس و جو نمی‌تواند خالی باشد', diff --git a/web/i18n/fr-FR/app-debug.ts b/web/i18n/fr-FR/app-debug.ts index 91d2dcb142..b71d251956 100644 --- a/web/i18n/fr-FR/app-debug.ts +++ b/web/i18n/fr-FR/app-debug.ts @@ -237,11 +237,11 @@ const translation = { typeSelect: 'Sélectionner', }, varKeyError: { - canNoBeEmpty: 'La clé variable ne peut pas être vide', - tooLong: 'Variable key: {{key}} too length. Can not be longer then 30 characters', - notValid: 'Variable key: {{key}} is invalid. Can only contain letters, numbers, and underscores', - notStartWithNumber: 'Variable key: {{key}} can not start with a number', - keyAlreadyExists: 'Variable key: :{{key}} already exists', + canNoBeEmpty: '{{key}} est obligatoire', + tooLong: '{{key}} too length. Can not be longer then 30 characters', + notValid: '{{key}} is invalid. Can only contain letters, numbers, and underscores', + notStartWithNumber: '{{key}} can not start with a number', + keyAlreadyExists: '{{key}} already exists', }, otherError: { promptNoBeEmpty: 'Le prompt ne peut pas être vide', diff --git a/web/i18n/hi-IN/app-debug.ts b/web/i18n/hi-IN/app-debug.ts index 872a1b9fe8..29944c8d84 100644 --- a/web/i18n/hi-IN/app-debug.ts +++ b/web/i18n/hi-IN/app-debug.ts @@ -276,14 +276,14 @@ const translation = { typeSelect: 'चुनें', }, varKeyError: { - canNoBeEmpty: 'वेरिएबल कुंजी खाली नहीं हो सकती', + canNoBeEmpty: '{{key}} आवश्यक है', tooLong: - 'वेरिएबल कुंजी: {{key}} बहुत लंबी है। 30 वर्णों से अधिक नहीं हो सकती', + '{{key}} बहुत लंबी है। 30 वर्णों से अधिक नहीं हो सकती', notValid: - 'वेरिएबल कुंजी: {{key}} अवैध है। केवल अक्षर, संख्याएं, और अंडरस्कोर शामिल हो सकते हैं', + '{{key}} अवैध है। केवल अक्षर, संख्याएं, और अंडरस्कोर शामिल हो सकते हैं', notStartWithNumber: - 'वेरिएबल कुंजी: {{key}} एक संख्या से प्रारंभ नहीं हो सकती', - keyAlreadyExists: 'वेरिएबल कुंजी: {{key}} पहले से मौजूद है', + '{{key}} एक संख्या से प्रारंभ नहीं हो सकती', + keyAlreadyExists: '{{key}} पहले से मौजूद है', }, otherError: { promptNoBeEmpty: 'प्रॉम्प्ट खाली नहीं हो सकता', diff --git a/web/i18n/it-IT/app-debug.ts b/web/i18n/it-IT/app-debug.ts index 8efe575945..a4cf7bba2d 100644 --- a/web/i18n/it-IT/app-debug.ts +++ b/web/i18n/it-IT/app-debug.ts @@ -278,14 +278,14 @@ const translation = { typeSelect: 'Seleziona', }, varKeyError: { - canNoBeEmpty: 'La chiave della variabile non può essere vuota', + canNoBeEmpty: '{{key}} è obbligatorio', tooLong: - 'La chiave della variabile: {{key}} è troppo lunga. Non può essere più lunga di 30 caratteri', + '{{key}} è troppo lunga. Non può essere più lunga di 30 caratteri', notValid: - 'La chiave della variabile: {{key}} non è valida. Può contenere solo lettere, numeri e underscore', + '{{key}} non è valida. Può contenere solo lettere, numeri e underscore', notStartWithNumber: - 'La chiave della variabile: {{key}} non può iniziare con un numero', - keyAlreadyExists: 'La chiave della variabile: {{key}} esiste già', + '{{key}} non può iniziare con un numero', + keyAlreadyExists: '{{key}} esiste già', }, otherError: { promptNoBeEmpty: 'Il prompt non può essere vuoto', diff --git a/web/i18n/ja-JP/app-debug.ts b/web/i18n/ja-JP/app-debug.ts index 39ea3386ed..6049be2406 100644 --- a/web/i18n/ja-JP/app-debug.ts +++ b/web/i18n/ja-JP/app-debug.ts @@ -284,11 +284,11 @@ const translation = { typeSelect: '選択', }, varKeyError: { - canNoBeEmpty: '変数キーを空にすることはできません', - tooLong: '変数キー: {{key}} が長すぎます。30文字を超えることはできません', - notValid: '変数キー: {{key}} が無効です。文字、数字、アンダースコアのみを含めることができます', - notStartWithNumber: '変数キー: {{key}} は数字で始めることはできません', - keyAlreadyExists: '変数キー: {{key}} はすでに存在します', + canNoBeEmpty: '{{key}} は必須です', + tooLong: '{{key}} が長すぎます。30文字を超えることはできません', + notValid: '{{key}} が無効です。文字、数字、アンダースコアのみを含めることができます', + notStartWithNumber: '{{key}} は数字で始めることはできません', + keyAlreadyExists: '{{key}} はすでに存在します', }, otherError: { promptNoBeEmpty: 'プロンプトを空にすることはできません', diff --git a/web/i18n/ko-KR/app-debug.ts b/web/i18n/ko-KR/app-debug.ts index 77eac2503d..0a2488b64c 100644 --- a/web/i18n/ko-KR/app-debug.ts +++ b/web/i18n/ko-KR/app-debug.ts @@ -248,11 +248,11 @@ const translation = { typeSelect: '선택', }, varKeyError: { - canNoBeEmpty: '변수 키를 비울 수 없습니다', - tooLong: '변수 키: {{key}}가 너무 깁니다. 30자를 넘을 수 없습니다', - notValid: '변수 키: {{key}}가 유효하지 않습니다. 문자, 숫자, 밑줄만 포함할 수 있습니다', - notStartWithNumber: '변수 키: {{key}}는 숫자로 시작할 수 없습니다', - keyAlreadyExists: '변수 키: {{key}}는 이미 존재합니다', + canNoBeEmpty: '{{key}}가 필요합니다', + tooLong: '{{key}}가 너무 깁니다. 30자를 넘을 수 없습니다', + notValid: '{{key}}가 유효하지 않습니다. 문자, 숫자, 밑줄만 포함할 수 있습니다', + notStartWithNumber: '{{key}}는 숫자로 시작할 수 없습니다', + keyAlreadyExists: '{{key}}는 이미 존재합니다', }, otherError: { promptNoBeEmpty: '프롬프트를 비울 수 없습니다', diff --git a/web/i18n/pl-PL/app-debug.ts b/web/i18n/pl-PL/app-debug.ts index 960209c045..afb412f264 100644 --- a/web/i18n/pl-PL/app-debug.ts +++ b/web/i18n/pl-PL/app-debug.ts @@ -275,14 +275,14 @@ const translation = { typeSelect: 'Wybierz', }, varKeyError: { - canNoBeEmpty: 'Klucz zmiennej nie może być pusty', + canNoBeEmpty: '{{klucz}} jest wymagany', tooLong: - 'Klucz zmiennej: {{key}} za długi. Nie może być dłuższy niż 30 znaków', + '{{key}} za długi. Nie może być dłuższy niż 30 znaków', notValid: - 'Klucz zmiennej: {{key}} jest nieprawidłowy. Może zawierać tylko litery, cyfry i podkreślenia', + '{{key}} jest nieprawidłowy. Może zawierać tylko litery, cyfry i podkreślenia', notStartWithNumber: - 'Klucz zmiennej: {{key}} nie może zaczynać się od cyfry', - keyAlreadyExists: 'Klucz zmiennej: :{{key}} już istnieje', + '{{key}} nie może zaczynać się od cyfry', + keyAlreadyExists: '{{key}} już istnieje', }, otherError: { promptNoBeEmpty: 'Monit nie może być pusty', diff --git a/web/i18n/pt-BR/app-debug.ts b/web/i18n/pt-BR/app-debug.ts index 91730d44b3..9605bd5d95 100644 --- a/web/i18n/pt-BR/app-debug.ts +++ b/web/i18n/pt-BR/app-debug.ts @@ -254,11 +254,11 @@ const translation = { typeSelect: 'Selecionar', }, varKeyError: { - canNoBeEmpty: 'A chave da variável não pode estar vazia', - tooLong: 'A chave da variável: {{key}} é muito longa. Não pode ter mais de 30 caracteres', - notValid: 'A chave da variável: {{key}} é inválida. Pode conter apenas letras, números e sublinhados', - notStartWithNumber: 'A chave da variável: {{key}} não pode começar com um número', - keyAlreadyExists: 'A chave da variável: :{{key}} já existe', + canNoBeEmpty: '{{key}} é obrigatório', + tooLong: '{{key}} é muito longa. Não pode ter mais de 30 caracteres', + notValid: '{{key}} é inválida. Pode conter apenas letras, números e sublinhados', + notStartWithNumber: '{{key}} não pode começar com um número', + keyAlreadyExists: '{{key}} já existe', }, otherError: { promptNoBeEmpty: 'A solicitação não pode estar vazia', diff --git a/web/i18n/ro-RO/app-debug.ts b/web/i18n/ro-RO/app-debug.ts index b4e9442de8..7363f2954f 100644 --- a/web/i18n/ro-RO/app-debug.ts +++ b/web/i18n/ro-RO/app-debug.ts @@ -254,11 +254,11 @@ const translation = { typeSelect: 'Selectează', }, varKeyError: { - canNoBeEmpty: 'Cheia variabilei nu poate fi goală', - tooLong: 'Cheia variabilei: {{key}} este prea lungă. Nu poate fi mai lungă de 30 de caractere', - notValid: 'Cheia variabilei: {{key}} este nevalidă. Poate conține doar litere, cifre și sublinieri', - notStartWithNumber: 'Cheia variabilei: {{key}} nu poate începe cu un număr', - keyAlreadyExists: 'Cheia variabilei: :{{key}} deja există', + canNoBeEmpty: '{{key}} este necesară', + tooLong: '{{key}} este prea lungă. Nu poate fi mai lungă de 30 de caractere', + notValid: '{{key}} este nevalidă. Poate conține doar litere, cifre și sublinieri', + notStartWithNumber: '{{key}} nu poate începe cu un număr', + keyAlreadyExists: ':{{key}} deja există', }, otherError: { promptNoBeEmpty: 'Promptul nu poate fi gol', diff --git a/web/i18n/tr-TR/app-debug.ts b/web/i18n/tr-TR/app-debug.ts index 889f48c78e..fbf51535fe 100644 --- a/web/i18n/tr-TR/app-debug.ts +++ b/web/i18n/tr-TR/app-debug.ts @@ -290,11 +290,11 @@ const translation = { typeSelect: 'Seçim', }, varKeyError: { - canNoBeEmpty: 'Değişken anahtarı boş olamaz', - tooLong: 'Değişken anahtarı: {{key}} çok uzun. 30 karakterden uzun olamaz', - notValid: 'Değişken anahtarı: {{key}} geçersizdir. Sadece harfler, rakamlar ve altçizgiler içerebilir', - notStartWithNumber: 'Değişken anahtarı: {{key}} bir rakamla başlamamalıdır', - keyAlreadyExists: 'Değişken anahtarı: {{key}} zaten mevcut', + canNoBeEmpty: '{{key}} gereklidir', + tooLong: '{{key}} çok uzun. 30 karakterden uzun olamaz', + notValid: '{{key}} geçersizdir. Sadece harfler, rakamlar ve altçizgiler içerebilir', + notStartWithNumber: '{{key}} bir rakamla başlamamalıdır', + keyAlreadyExists: '{{key}} zaten mevcut', }, otherError: { promptNoBeEmpty: 'Prompt boş olamaz', diff --git a/web/i18n/uk-UA/app-debug.ts b/web/i18n/uk-UA/app-debug.ts index c64444c871..7c0ba45b3c 100644 --- a/web/i18n/uk-UA/app-debug.ts +++ b/web/i18n/uk-UA/app-debug.ts @@ -248,11 +248,11 @@ const translation = { typeSelect: 'Вибрати', // Select }, varKeyError: { - canNoBeEmpty: 'Ключ змінної не може бути порожнім', // Variable key can not be empty - tooLong: 'Ключ змінної: {{key}} занадто довгий. Не може бути більше 30 символів', // Variable key: {{key}} too length. Can not be longer then 30 characters - notValid: 'Ключ змінної: {{key}} недійсний. Може містити лише літери, цифри та підкреслення', // Variable key: {{key}} is invalid. Can only contain letters, numbers, and underscores - notStartWithNumber: 'Ключ змінної: {{key}} не може починатися з цифри', // Variable key: {{key}} can not start with a number - keyAlreadyExists: 'Ключ змінної: :{{key}} вже існує', // Variable key: :{{key}} already exists + canNoBeEmpty: 'Потрібен {{key}}', // Variable key can not be empty + tooLong: '{{key}} занадто довгий. Не може бути більше 30 символів', // Variable key: {{key}} too length. Can not be longer then 30 characters + notValid: '{{key}} недійсний. Може містити лише літери, цифри та підкреслення', // Variable key: {{key}} is invalid. Can only contain letters, numbers, and underscores + notStartWithNumber: '{{key}} не може починатися з цифри', // Variable key: {{key}} can not start with a number + keyAlreadyExists: ':{{key}} вже існує', // Variable key: :{{key}} already exists }, otherError: { promptNoBeEmpty: 'Команда не може бути порожньою', // Prompt can not be empty diff --git a/web/i18n/vi-VN/app-debug.ts b/web/i18n/vi-VN/app-debug.ts index 4797f768e3..906b39d10a 100644 --- a/web/i18n/vi-VN/app-debug.ts +++ b/web/i18n/vi-VN/app-debug.ts @@ -248,11 +248,11 @@ const translation = { typeSelect: 'Lựa chọn', }, varKeyError: { - canNoBeEmpty: 'Khóa biến không thể trống', - tooLong: 'Khóa biến: {{key}} quá dài. Không thể dài hơn 30 ký tự', - notValid: 'Khóa biến: {{key}} không hợp lệ. Chỉ có thể chứa chữ cái, số, và dấu gạch dưới', - notStartWithNumber: 'Khóa biến: {{key}} không thể bắt đầu bằng số', - keyAlreadyExists: 'Khóa biến: {{key}} đã tồn tại', + canNoBeEmpty: '{{key}} là bắt buộc', + tooLong: '{{key}} quá dài. Không thể dài hơn 30 ký tự', + notValid: '{{key}} không hợp lệ. Chỉ có thể chứa chữ cái, số, và dấu gạch dưới', + notStartWithNumber: '{{key}} không thể bắt đầu bằng số', + keyAlreadyExists: '{{key}} đã tồn tại', }, otherError: { promptNoBeEmpty: 'Lời nhắc không thể trống', diff --git a/web/i18n/zh-Hans/app-debug.ts b/web/i18n/zh-Hans/app-debug.ts index b95bb8ce51..febf80d786 100644 --- a/web/i18n/zh-Hans/app-debug.ts +++ b/web/i18n/zh-Hans/app-debug.ts @@ -287,11 +287,11 @@ const translation = { typeSelect: '下拉选项', }, varKeyError: { - canNoBeEmpty: '变量不能为空', - tooLong: '变量: {{key}} 长度太长。不能超过 30 个字符', - notValid: '变量: {{key}} 非法。只能包含英文字符，数字和下划线', - notStartWithNumber: '变量: {{key}} 不能以数字开头', - keyAlreadyExists: '变量:{{key}} 已存在', + canNoBeEmpty: '{{key}}必填', + tooLong: '{{key}} 长度太长。不能超过 30 个字符', + notValid: '{{key}} 非法。只能包含英文字符，数字和下划线', + notStartWithNumber: '{{key}} 不能以数字开头', + keyAlreadyExists: '{{key}} 已存在', }, otherError: { promptNoBeEmpty: '提示词不能为空', @@ -320,7 +320,6 @@ const translation = { 'required': '必填', 'content': '内容', 'errorMsg': { - varNameRequired: '变量名称必填', labelNameRequired: '显示名称必填', varNameCanBeRepeat: '变量名称不能重复', atLeastOneOption: '至少需要一个选项', diff --git a/web/i18n/zh-Hant/app-debug.ts b/web/i18n/zh-Hant/app-debug.ts index ec5d536bb9..ca4dfbb0cf 100644 --- a/web/i18n/zh-Hant/app-debug.ts +++ b/web/i18n/zh-Hant/app-debug.ts @@ -233,11 +233,11 @@ const translation = { typeSelect: '下拉選項', }, varKeyError: { - canNoBeEmpty: '變數不能為空', - tooLong: '變數: {{key}} 長度太長。不能超過 30 個字元', - notValid: '變數: {{key}} 非法。只能包含英文字元，數字和下劃線', - notStartWithNumber: '變數: {{key}} 不能以數字開頭', - keyAlreadyExists: '變數:{{key}} 已存在', + canNoBeEmpty: '{{key}} 是必要的', + tooLong: '{{key}} 長度太長。不能超過 30 個字元', + notValid: '{{key}} 非法。只能包含英文字元，數字和下劃線', + notStartWithNumber: '{{key}} 不能以數字開頭', + keyAlreadyExists: '{{key}} 已存在', }, otherError: { promptNoBeEmpty: '提示詞不能為空', From fb75bd979048ed410616578dc9e825734174240a Mon Sep 17 00:00:00 2001 From: Joel Date: Fri, 23 Aug 2024 15:08:34 +0800 Subject: [PATCH 045/164] chore: improve the check time of variable name in conversation and env var (#7572) --- .../components/variable-modal.tsx | 26 +++++++++++-------- .../panel/env-panel/variable-modal.tsx | 26 +++++++++++-------- 2 files changed, 30 insertions(+), 22 deletions(-) diff --git a/web/app/components/workflow/panel/chat-variable-panel/components/variable-modal.tsx b/web/app/components/workflow/panel/chat-variable-panel/components/variable-modal.tsx index 289e29d592..e6c1ebb5cc 100644 --- a/web/app/components/workflow/panel/chat-variable-panel/components/variable-modal.tsx +++ b/web/app/components/workflow/panel/chat-variable-panel/components/variable-modal.tsx @@ -15,6 +15,7 @@ import type { ConversationVariable } from '@/app/components/workflow/types' import { CodeLanguage } from '@/app/components/workflow/nodes/code/types' import { ChatVarType } from '@/app/components/workflow/panel/chat-variable-panel/type' import cn from '@/utils/classnames' +import { checkKeys } from '@/utils/var' export type ModalPropsType = { chatVar?: ConversationVariable @@ -128,14 +129,16 @@ const ChatVariableModal = ({ } } - const handleNameChange = (v: string) => { - if (!v) - return setName('') - if (!/^[a-zA-Z0-9_]+$/.test(v)) - return notify({ type: 'error', message: 'name is can only contain letters, numbers and underscores' }) - if (/^[0-9]/.test(v)) - return notify({ type: 'error', message: 'name can not start with a number' }) - setName(v) + const checkVariableName = (value: string) => { + const { isValid, errorMessageKey } = checkKeys([value], false) + if (!isValid) { + notify({ + type: 'error', + message: t(`appDebug.varKeyError.${errorMessageKey}`, { key: t('workflow.env.modal.name') }), + }) + return false + } + return true } const handleTypeChange = (v: ChatVarType) => { @@ -211,8 +214,8 @@ const ChatVariableModal = ({ } const handleSave = () => { - if (!name) - return notify({ type: 'error', message: 'name can not be empty' }) + if (!checkVariableName(name)) + return if (!chatVar && varList.some(chatVar => chatVar.name === name)) return notify({ type: 'error', message: 'name is existed' }) // if (type !== ChatVarType.Object && !value) @@ -272,7 +275,8 @@ const ChatVariableModal = ({ className='block px-3 w-full h-8 bg-components-input-bg-normal system-sm-regular radius-md border border-transparent appearance-none outline-none caret-primary-600 hover:border-components-input-border-hover hover:bg-components-input-bg-hover focus:bg-components-input-bg-active focus:border-components-input-border-active focus:shadow-xs placeholder:system-sm-regular placeholder:text-components-input-text-placeholder' placeholder={t('workflow.chatVariable.modal.namePlaceholder') || ''} value={name} - onChange={e => handleNameChange(e.target.value)} + onChange={e => setName(e.target.value || '')} + onBlur={e => checkVariableName(e.target.value)} type='text' />
diff --git a/web/app/components/workflow/panel/env-panel/variable-modal.tsx b/web/app/components/workflow/panel/env-panel/variable-modal.tsx index 46f92bd8ed..c62a849f36 100644 --- a/web/app/components/workflow/panel/env-panel/variable-modal.tsx +++ b/web/app/components/workflow/panel/env-panel/variable-modal.tsx @@ -9,6 +9,7 @@ import { ToastContext } from '@/app/components/base/toast' import { useStore } from '@/app/components/workflow/store' import type { EnvironmentVariable } from '@/app/components/workflow/types' import cn from '@/utils/classnames' +import { checkKeys } from '@/utils/var' export type ModalPropsType = { env?: EnvironmentVariable @@ -28,19 +29,21 @@ const VariableModal = ({ const [name, setName] = React.useState('') const [value, setValue] = React.useState() - const handleNameChange = (v: string) => { - if (!v) - return setName('') - if (!/^[a-zA-Z0-9_]+$/.test(v)) - return notify({ type: 'error', message: 'name is can only contain letters, numbers and underscores' }) - if (/^[0-9]/.test(v)) - return notify({ type: 'error', message: 'name can not start with a number' }) - setName(v) + const checkVariableName = (value: string) => { + const { isValid, errorMessageKey } = checkKeys([value], false) + if (!isValid) { + notify({ + type: 'error', + message: t(`appDebug.varKeyError.${errorMessageKey}`, { key: t('workflow.env.modal.name') }), + }) + return false + } + return true } const handleSave = () => { - if (!name) - return notify({ type: 'error', message: 'name can not be empty' }) + if (!checkVariableName(name)) + return if (!value) return notify({ type: 'error', message: 'value can not be empty' }) if (!env && envList.some(env => env.name === name)) @@ -118,7 +121,8 @@ const VariableModal = ({ className='block px-3 w-full h-8 bg-components-input-bg-normal system-sm-regular radius-md border border-transparent appearance-none outline-none caret-primary-600 hover:border-components-input-border-hover hover:bg-components-input-bg-hover focus:bg-components-input-bg-active focus:border-components-input-border-active focus:shadow-xs placeholder:system-sm-regular placeholder:text-components-input-text-placeholder' placeholder={t('workflow.env.modal.namePlaceholder') || ''} value={name} - onChange={e => handleNameChange(e.target.value)} + onChange={e => setName(e.target.value || '')} + onBlur={e => checkVariableName(e.target.value)} type='text' />
From 0c38a8fdd43dd24f5daa5763a9a6f4e2acf823ca Mon Sep 17 00:00:00 2001 From: Nam Vu Date: Fri, 23 Aug 2024 14:25:07 +0700 Subject: [PATCH 046/164] Fix: voice language (#7570) --- web/i18n/de-DE/common.ts | 4 ++++ web/i18n/en-US/common.ts | 6 +++++- web/i18n/es-ES/common.ts | 4 ++++ web/i18n/fa-IR/common.ts | 4 ++++ web/i18n/fr-FR/common.ts | 6 +++++- web/i18n/hi-IN/common.ts | 4 ++++ web/i18n/it-IT/common.ts | 4 ++++ web/i18n/ja-JP/common.ts | 4 ++++ web/i18n/ko-KR/common.ts | 4 ++++ web/i18n/pl-PL/common.ts | 4 ++++ web/i18n/pt-BR/common.ts | 4 ++++ web/i18n/ro-RO/common.ts | 4 ++++ web/i18n/tr-TR/common.ts | 6 +++++- web/i18n/uk-UA/common.ts | 4 ++++ web/i18n/vi-VN/common.ts | 5 +++++ web/i18n/zh-Hans/common.ts | 4 ++++ web/i18n/zh-Hant/common.ts | 4 ++++ web/yarn.lock | 2 +- 18 files changed, 73 insertions(+), 4 deletions(-) diff --git a/web/i18n/de-DE/common.ts b/web/i18n/de-DE/common.ts index a7c7bb58fd..9a66d5b175 100644 --- a/web/i18n/de-DE/common.ts +++ b/web/i18n/de-DE/common.ts @@ -60,6 +60,10 @@ const translation = { ukUA: 'Ukrainisch', viVN: 'Vietnamesisch', plPL: 'Polnisch', + roRO: 'Rumänisch', + hiIN: 'Hindi', + trTR: 'Türkisch', + faIR: 'Persisch', }, }, unit: { diff --git a/web/i18n/en-US/common.ts b/web/i18n/en-US/common.ts index d48a9c233e..87dab5cb71 100644 --- a/web/i18n/en-US/common.ts +++ b/web/i18n/en-US/common.ts @@ -55,7 +55,7 @@ const translation = { frFR: 'French', esES: 'Spanish', itIT: 'Italian', - thTH: 'Thai.', + thTH: 'Thai', idID: 'Indonesian', jaJP: 'Japanese', koKR: 'Korean', @@ -64,6 +64,10 @@ const translation = { ukUA: 'Ukrainian', viVN: 'Vietnamese', plPL: 'Polish', + roRO: 'Romanian', + hiIN: 'Hindi', + trTR: 'Türkçe', + faIR: 'Farsi', }, }, unit: { diff --git a/web/i18n/es-ES/common.ts b/web/i18n/es-ES/common.ts index 4afc06b098..fc37775263 100644 --- a/web/i18n/es-ES/common.ts +++ b/web/i18n/es-ES/common.ts @@ -64,6 +64,10 @@ const translation = { ukUA: 'Ucraniano', viVN: 'Vietnamita', plPL: 'Polaco', + roRO: 'Rumano', + hiIN: 'Hindi', + trTR: 'Turco', + faIR: 'Persa', }, }, unit: { diff --git a/web/i18n/fa-IR/common.ts b/web/i18n/fa-IR/common.ts index 2b1c4647db..e4417bcbcc 100644 --- a/web/i18n/fa-IR/common.ts +++ b/web/i18n/fa-IR/common.ts @@ -64,6 +64,10 @@ const translation = { ukUA: 'اوکراینی', viVN: 'ویتنامی', plPL: 'لهستانی', + roRO: 'رومانیایی', + hiIN: 'هندی', + trTR: 'ترکی', + faIR: 'فارسی', }, }, unit: { diff --git a/web/i18n/fr-FR/common.ts b/web/i18n/fr-FR/common.ts index 424d8e4a99..2ae0731006 100644 --- a/web/i18n/fr-FR/common.ts +++ b/web/i18n/fr-FR/common.ts @@ -51,7 +51,7 @@ const translation = { frFR: 'Français', esES: 'Espagnol', itIT: 'Italien', - thTH: 'Thaï.', + thTH: 'Thaï', idID: 'Indonésien', jaJP: 'Japonais', koKR: 'Coréen', @@ -60,6 +60,10 @@ const translation = { ukUA: 'Ukrainien', viVN: 'Vietnamien', plPL: 'Polonais', + roRO: 'Roumain', + hiIN: 'Hindi', + trTR: 'Turc', + faIR: 'Persan', }, }, unit: { diff --git a/web/i18n/hi-IN/common.ts b/web/i18n/hi-IN/common.ts index 2be7cddf8f..0a210072e1 100644 --- a/web/i18n/hi-IN/common.ts +++ b/web/i18n/hi-IN/common.ts @@ -64,6 +64,10 @@ const translation = { ukUA: 'यूक्रेनी', viVN: 'वियतनामी', plPL: 'पोलिश', + roRO: 'रोमानियाई', + hiIN: 'हिन्दी', + trTR: 'तुर्की', + faIR: 'फ़ारसी', }, }, unit: { diff --git a/web/i18n/it-IT/common.ts b/web/i18n/it-IT/common.ts index cc9c34e2dc..595a5075eb 100644 --- a/web/i18n/it-IT/common.ts +++ b/web/i18n/it-IT/common.ts @@ -64,6 +64,10 @@ const translation = { ukUA: 'Ucraino', viVN: 'Vietnamita', plPL: 'Polacco', + roRO: 'Rumeno', + hiIN: 'Hindi', + trTR: 'Turco', + faIR: 'Persiano', }, }, unit: { diff --git a/web/i18n/ja-JP/common.ts b/web/i18n/ja-JP/common.ts index f3fb8466f1..fc61141bd3 100644 --- a/web/i18n/ja-JP/common.ts +++ b/web/i18n/ja-JP/common.ts @@ -64,6 +64,10 @@ const translation = { ukUA: 'ウクライナ語', viVN: 'ベトナム語', plPL: 'ポーランド語', + roRO: 'ルーマニア語', + hiIN: 'ヒンディー語', + trTR: 'トルコ語', + faIR: 'ペルシア語', }, }, unit: { diff --git a/web/i18n/ko-KR/common.ts b/web/i18n/ko-KR/common.ts index 9e78510078..edd0295b89 100644 --- a/web/i18n/ko-KR/common.ts +++ b/web/i18n/ko-KR/common.ts @@ -60,6 +60,10 @@ const translation = { ukUA: '우크라이나어', viVN: '베트남어', plPL: '폴란드어', + roRO: '루마니아어', + hiIN: '힌디어', + trTR: '터키어', + faIR: '페르시아어', }, }, unit: { diff --git a/web/i18n/pl-PL/common.ts b/web/i18n/pl-PL/common.ts index 39572ce09b..1f41abe154 100644 --- a/web/i18n/pl-PL/common.ts +++ b/web/i18n/pl-PL/common.ts @@ -60,6 +60,10 @@ const translation = { ukUA: 'Ukraiński', viVN: 'Wietnamski', plPL: 'Polski', + roRO: 'Rumuński', + hiIN: 'Hindi', + trTR: 'Turecki', + faIR: 'Perski', }, }, unit: { diff --git a/web/i18n/pt-BR/common.ts b/web/i18n/pt-BR/common.ts index 1b29d06669..f93979404b 100644 --- a/web/i18n/pt-BR/common.ts +++ b/web/i18n/pt-BR/common.ts @@ -60,6 +60,10 @@ const translation = { ukUA: 'Ucraniano', viVN: 'Vietnamita', plPL: 'Polonês', + roRO: 'Romeno', + hiIN: 'Hindi', + trTR: 'Turco', + faIR: 'Persa', }, }, unit: { diff --git a/web/i18n/ro-RO/common.ts b/web/i18n/ro-RO/common.ts index e7037f65b8..34ca1c4671 100644 --- a/web/i18n/ro-RO/common.ts +++ b/web/i18n/ro-RO/common.ts @@ -59,6 +59,10 @@ const translation = { ruRU: 'Rusă', ukUA: 'Ucraineană', viVN: 'Vietnameză', + roRO: 'Română', + hiIN: 'Hindi', + trTR: 'Turcă', + faIR: 'Persană', }, }, unit: { diff --git a/web/i18n/tr-TR/common.ts b/web/i18n/tr-TR/common.ts index f7981c3f48..a194ffd769 100644 --- a/web/i18n/tr-TR/common.ts +++ b/web/i18n/tr-TR/common.ts @@ -55,7 +55,7 @@ const translation = { frFR: 'French', esES: 'Spanish', itIT: 'Italian', - thTH: 'Thai.', + thTH: 'Thai', idID: 'Indonesian', jaJP: 'Japanese', koKR: 'Korean', @@ -64,6 +64,10 @@ const translation = { ukUA: 'Ukrainian', viVN: 'Vietnamese', plPL: 'Polish', + roRO: 'Romence', + hiIN: 'Hintçe', + trTR: 'Türkçe', + faIR: 'Farsça', }, }, unit: { diff --git a/web/i18n/uk-UA/common.ts b/web/i18n/uk-UA/common.ts index fb0003d35f..33324ce0f2 100644 --- a/web/i18n/uk-UA/common.ts +++ b/web/i18n/uk-UA/common.ts @@ -60,6 +60,10 @@ const translation = { ukUA: 'Українська', viVN: 'В\'є тнамська', plPL: 'Польська', + roRO: 'Румунська', + hiIN: 'Хінді', + trTR: 'Турецька', + faIR: 'Перська', }, }, unit: { diff --git a/web/i18n/vi-VN/common.ts b/web/i18n/vi-VN/common.ts index 232148ce74..19855d31f0 100644 --- a/web/i18n/vi-VN/common.ts +++ b/web/i18n/vi-VN/common.ts @@ -45,6 +45,7 @@ const translation = { voice: { language: { zhHans: 'Tiếng Trung', + zhHant: 'Tiếng Trung phồn thể', enUS: 'Tiếng Anh', deDE: 'Tiếng Đức', frFR: 'Tiếng Pháp', @@ -59,6 +60,10 @@ const translation = { ukUA: 'Tiếng Ukraina', viVN: 'Tiếng Việt', plPL: 'Tiếng Ba Lan', + roRO: 'Tiếng Rumani', + hiIN: 'Tiếng Hindi', + trTR: 'Tiếng Thổ Nhĩ Kỳ', + faIR: 'Tiếng Ba Tư', }, }, unit: { diff --git a/web/i18n/zh-Hans/common.ts b/web/i18n/zh-Hans/common.ts index e0072e2cba..73cf435a7c 100644 --- a/web/i18n/zh-Hans/common.ts +++ b/web/i18n/zh-Hans/common.ts @@ -64,6 +64,10 @@ const translation = { ukUA: '乌克兰语', viVN: '越南语', plPL: '波兰语', + roRO: '罗马尼亚语', + hiIN: '印地语', + trTR: '土耳其语', + faIR: '波斯语', }, }, unit: { diff --git a/web/i18n/zh-Hant/common.ts b/web/i18n/zh-Hant/common.ts index f4d6952f76..e14c3c3196 100644 --- a/web/i18n/zh-Hant/common.ts +++ b/web/i18n/zh-Hant/common.ts @@ -60,6 +60,10 @@ const translation = { ukUA: '烏克蘭語', viVN: '越南語', plPL: '波蘭語', + roRO: '羅馬尼亞語', + hiIN: '印地語', + trTR: '土耳其語', + faIR: '波斯語', }, }, unit: { diff --git a/web/yarn.lock b/web/yarn.lock index f6a6694b51..d50aa33f3e 100644 --- a/web/yarn.lock +++ b/web/yarn.lock @@ -9373,4 +9373,4 @@ zustand@^4.4.1, zustand@^4.5.2: zwitch@^2.0.0: version "2.0.4" resolved "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz" - integrity sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A== + integrity sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A== \ No newline at end of file From 60250029712f1ae864eb5fe57bbbe4488dd32acf Mon Sep 17 00:00:00 2001 From: Fei He Date: Fri, 23 Aug 2024 15:32:38 +0800 Subject: [PATCH 047/164] add qwen text-embedding-v3 support. (#7567) --- .../tongyi/text_embedding/text-embedding-v3.yaml | 9 +++++++++ 1 file changed, 9 insertions(+) create mode 100644 api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v3.yaml diff --git a/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v3.yaml b/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v3.yaml new file mode 100644 index 0000000000..171a379ee2 --- /dev/null +++ b/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v3.yaml @@ -0,0 +1,9 @@ +model: text-embedding-v3 +model_type: text-embedding +model_properties: + context_size: 8192 + max_chunks: 25 +pricing: + input: "0.0007" + unit: "0.001" + currency: RMB From 9864b354657910ea05812055658e232c29f1200e Mon Sep 17 00:00:00 2001 From: "Charlie.Wei" Date: Fri, 23 Aug 2024 15:53:49 +0800 Subject: [PATCH 048/164] langfuser add view button (#7571) --- api/core/ops/entities/config_entity.py | 1 + api/core/ops/langfuse_trace/langfuse_trace.py | 8 +++++ api/core/ops/ops_trace_manager.py | 16 ++++++++-- api/services/ops_service.py | 11 ++++++- .../overview/tracing/provider-panel.tsx | 31 +++++++++++++++---- web/i18n/en-US/app.ts | 1 + web/i18n/zh-Hans/app.ts | 1 + web/i18n/zh-Hant/app.ts | 1 + 8 files changed, 61 insertions(+), 9 deletions(-) diff --git a/api/core/ops/entities/config_entity.py b/api/core/ops/entities/config_entity.py index 221e6239ab..447f668e26 100644 --- a/api/core/ops/entities/config_entity.py +++ b/api/core/ops/entities/config_entity.py @@ -21,6 +21,7 @@ class LangfuseConfig(BaseTracingConfig): """ public_key: str secret_key: str + project_key: str host: str = 'https://api.langfuse.com' @field_validator("host") diff --git a/api/core/ops/langfuse_trace/langfuse_trace.py b/api/core/ops/langfuse_trace/langfuse_trace.py index 698398e0cb..a21c67ed50 100644 --- a/api/core/ops/langfuse_trace/langfuse_trace.py +++ b/api/core/ops/langfuse_trace/langfuse_trace.py @@ -419,3 +419,11 @@ class LangFuseDataTrace(BaseTraceInstance): except Exception as e: logger.debug(f"LangFuse API check failed: {str(e)}") raise ValueError(f"LangFuse API check failed: {str(e)}") + + def get_project_key(self): + try: + projects = self.langfuse_client.client.projects.get() + return projects.data[0].id + except Exception as e: + logger.debug(f"LangFuse get project key failed: {str(e)}") + raise ValueError(f"LangFuse get project key failed: {str(e)}") diff --git a/api/core/ops/ops_trace_manager.py b/api/core/ops/ops_trace_manager.py index 068b490ec8..1416d6bd2d 100644 --- a/api/core/ops/ops_trace_manager.py +++ b/api/core/ops/ops_trace_manager.py @@ -38,7 +38,7 @@ provider_config_map = { TracingProviderEnum.LANGFUSE.value: { 'config_class': LangfuseConfig, 'secret_keys': ['public_key', 'secret_key'], - 'other_keys': ['host'], + 'other_keys': ['host', 'project_key'], 'trace_instance': LangFuseDataTrace }, TracingProviderEnum.LANGSMITH.value: { @@ -123,7 +123,6 @@ class OpsTraceManager: for key in other_keys: new_config[key] = decrypt_tracing_config.get(key, "") - return config_class(**new_config).model_dump() @classmethod @@ -252,6 +251,19 @@ class OpsTraceManager: tracing_config = config_type(**tracing_config) return trace_instance(tracing_config).api_check() + @staticmethod + def get_trace_config_project_key(tracing_config: dict, tracing_provider: str): + """ + get trace config is project key + :param tracing_config: tracing config + :param tracing_provider: tracing provider + :return: + """ + config_type, trace_instance = provider_config_map[tracing_provider]['config_class'], \ + provider_config_map[tracing_provider]['trace_instance'] + tracing_config = config_type(**tracing_config) + return trace_instance(tracing_config).get_project_key() + class TraceTask: def __init__( diff --git a/api/services/ops_service.py b/api/services/ops_service.py index ffc12a9acd..7b2edcf7cb 100644 --- a/api/services/ops_service.py +++ b/api/services/ops_service.py @@ -22,6 +22,10 @@ class OpsService: # decrypt_token and obfuscated_token tenant_id = db.session.query(App).filter(App.id == app_id).first().tenant_id decrypt_tracing_config = OpsTraceManager.decrypt_tracing_config(tenant_id, tracing_provider, trace_config_data.tracing_config) + if tracing_provider == 'langfuse' and ('project_key' not in decrypt_tracing_config or not decrypt_tracing_config.get('project_key')): + project_key = OpsTraceManager.get_trace_config_project_key(decrypt_tracing_config, tracing_provider) + decrypt_tracing_config['project_key'] = project_key + decrypt_tracing_config = OpsTraceManager.obfuscated_decrypt_token(tracing_provider, decrypt_tracing_config) trace_config_data.tracing_config = decrypt_tracing_config @@ -37,7 +41,7 @@ class OpsService: :param tracing_config: tracing config :return: """ - if tracing_provider not in provider_config_map.keys() and tracing_provider != None: + if tracing_provider not in provider_config_map.keys() and tracing_provider: return {"error": f"Invalid tracing provider: {tracing_provider}"} config_class, other_keys = provider_config_map[tracing_provider]['config_class'], \ @@ -51,6 +55,9 @@ class OpsService: if not OpsTraceManager.check_trace_config_is_effective(tracing_config, tracing_provider): return {"error": "Invalid Credentials"} + # get project key + project_key = OpsTraceManager.get_trace_config_project_key(tracing_config, tracing_provider) + # check if trace config already exists trace_config_data: TraceAppConfig = db.session.query(TraceAppConfig).filter( TraceAppConfig.app_id == app_id, TraceAppConfig.tracing_provider == tracing_provider @@ -62,6 +69,8 @@ class OpsService: # get tenant id tenant_id = db.session.query(App).filter(App.id == app_id).first().tenant_id tracing_config = OpsTraceManager.encrypt_tracing_config(tenant_id, tracing_provider, tracing_config) + if tracing_provider == 'langfuse': + tracing_config['project_key'] = project_key trace_config_data = TraceAppConfig( app_id=app_id, tracing_provider=tracing_provider, diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx index 120fe29dff..4a39586064 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx @@ -6,6 +6,7 @@ import { TracingProvider } from './type' import cn from '@/utils/classnames' import { LangfuseIconBig, LangsmithIconBig } from '@/app/components/base/icons/src/public/tracing' import { Settings04 } from '@/app/components/base/icons/src/vender/line/general' +import { Eye as View } from '@/app/components/base/icons/src/vender/solid/general' const I18N_PREFIX = 'app.tracing' @@ -13,6 +14,7 @@ type Props = { type: TracingProvider readOnly: boolean isChosen: boolean + Config: any onChoose: () => void hasConfigured: boolean onConfig: () => void @@ -29,6 +31,7 @@ const ProviderPanel: FC = ({ type, readOnly, isChosen, + Config, onChoose, hasConfigured, onConfig, @@ -41,6 +44,14 @@ const ProviderPanel: FC = ({ onConfig() }, [onConfig]) + const viewBtnClick = useCallback((e: React.MouseEvent) => { + e.preventDefault() + e.stopPropagation() + + const url = `${Config?.host}/project/${Config?.project_key}` + window.open(url, '_blank', 'noopener,noreferrer') + }, [Config?.host, Config?.project_key]) + const handleChosen = useCallback((e: React.MouseEvent) => { e.stopPropagation() if (isChosen || !hasConfigured || readOnly) @@ -58,12 +69,20 @@ const ProviderPanel: FC = ({ {isChosen &&
{t(`${I18N_PREFIX}.inUse`)}
}
{!readOnly && ( -
- -
{t(`${I18N_PREFIX}.config`)}
+
+ {hasConfigured && ( +
+ +
{t(`${I18N_PREFIX}.view`)}
+
+ )} +
+ +
{t(`${I18N_PREFIX}.config`)}
+
)} diff --git a/web/i18n/en-US/app.ts b/web/i18n/en-US/app.ts index 39b47c8eb4..90724098de 100644 --- a/web/i18n/en-US/app.ts +++ b/web/i18n/en-US/app.ts @@ -95,6 +95,7 @@ const translation = { title: 'Tracing app performance', description: 'Configuring a Third-Party LLMOps provider and tracing app performance.', config: 'Config', + view: 'View', collapse: 'Collapse', expand: 'Expand', tracing: 'Tracing', diff --git a/web/i18n/zh-Hans/app.ts b/web/i18n/zh-Hans/app.ts index 6703e1ca95..e12ed1b35d 100644 --- a/web/i18n/zh-Hans/app.ts +++ b/web/i18n/zh-Hans/app.ts @@ -94,6 +94,7 @@ const translation = { title: '追踪应用性能', description: '配置第三方 LLMOps 提供商并跟踪应用程序性能。', config: '配置', + view: '查看', collapse: '折叠', expand: '展开', tracing: '追踪', diff --git a/web/i18n/zh-Hant/app.ts b/web/i18n/zh-Hant/app.ts index 4b915b7f2d..ff162c5b61 100644 --- a/web/i18n/zh-Hant/app.ts +++ b/web/i18n/zh-Hant/app.ts @@ -90,6 +90,7 @@ const translation = { title: '追蹤應用程式效能', description: '配置第三方LLMOps提供商並追蹤應用程式效能。', config: '配置', + view: '查看', collapse: '收起', expand: '展開', tracing: '追蹤', From df69ad9f0e4336f7cab62c6fdb4f53f03a290944 Mon Sep 17 00:00:00 2001 From: "Charlie.Wei" Date: Fri, 23 Aug 2024 16:23:26 +0800 Subject: [PATCH 049/164] Langfuse view button (#7578) --- .../[appId]/overview/tracing/config-popup.tsx | 2 ++ .../[appId]/overview/tracing/provider-panel.tsx | 8 ++++---- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx index 7aa1fca96d..7744bab7ba 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx @@ -85,6 +85,7 @@ const ConfigPopup: FC = ({ = ({ void hasConfigured: boolean onConfig: () => void @@ -31,7 +31,7 @@ const ProviderPanel: FC = ({ type, readOnly, isChosen, - Config, + config, onChoose, hasConfigured, onConfig, @@ -48,9 +48,9 @@ const ProviderPanel: FC = ({ e.preventDefault() e.stopPropagation() - const url = `${Config?.host}/project/${Config?.project_key}` + const url = `${config?.host}/project/${config?.project_key}` window.open(url, '_blank', 'noopener,noreferrer') - }, [Config?.host, Config?.project_key]) + }, []) const handleChosen = useCallback((e: React.MouseEvent) => { e.stopPropagation() From ad130110430b4a96a5a63f508fe98b0213e4a200 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E5=99=A2=E5=93=8E=E5=93=9F=E5=96=82?= Date: Fri, 23 Aug 2024 16:24:45 +0800 Subject: [PATCH 050/164] add JSON Mode support for moonshot models (#7568) --- .../moonshot/llm/moonshot-v1-128k.yaml | 12 ++++++++++++ .../moonshot/llm/moonshot-v1-32k.yaml | 12 ++++++++++++ .../model_providers/moonshot/llm/moonshot-v1-8k.yaml | 12 ++++++++++++ 3 files changed, 36 insertions(+) diff --git a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-128k.yaml b/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-128k.yaml index 0d2e51c47f..1078e84c59 100644 --- a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-128k.yaml +++ b/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-128k.yaml @@ -21,6 +21,18 @@ parameter_rules: default: 1024 min: 1 max: 128000 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: response_format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object pricing: input: '0.06' output: '0.06' diff --git a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-32k.yaml b/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-32k.yaml index 9ff537014a..9c739d0501 100644 --- a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-32k.yaml +++ b/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-32k.yaml @@ -21,6 +21,18 @@ parameter_rules: default: 1024 min: 1 max: 32000 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: response_format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object pricing: input: '0.024' output: '0.024' diff --git a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-8k.yaml b/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-8k.yaml index 0f308d3676..187a86999e 100644 --- a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-8k.yaml +++ b/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-8k.yaml @@ -21,6 +21,18 @@ parameter_rules: default: 512 min: 1 max: 8192 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: response_format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object pricing: input: '0.012' output: '0.012' From f29685f8a122d5d7c8ce124d86abc797a5458209 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E5=BC=A0=E7=9A=AE=E7=9A=AE?= <363230482@qq.com> Date: Fri, 23 Aug 2024 16:59:34 +0800 Subject: [PATCH 051/164] fix score_threshold is none, return all top K documents (#7581) --- api/core/rag/retrieval/dataset_retrieval.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/core/rag/retrieval/dataset_retrieval.py b/api/core/rag/retrieval/dataset_retrieval.py index e945364796..fc6d231f8e 100644 --- a/api/core/rag/retrieval/dataset_retrieval.py +++ b/api/core/rag/retrieval/dataset_retrieval.py @@ -614,7 +614,7 @@ class DatasetRetrieval: top_k: int, score_threshold: float) -> list[Document]: filter_documents = [] for document in all_documents: - if score_threshold and document.metadata['score'] >= score_threshold: + if score_threshold is None or document.metadata['score'] >= score_threshold: filter_documents.append(document) if not filter_documents: return [] From 25386af41aa961f332258190fad63a1639adb8ac Mon Sep 17 00:00:00 2001 From: Yi Xiao <54782454+YIXIAO0@users.noreply.github.com> Date: Fri, 23 Aug 2024 17:20:19 +0800 Subject: [PATCH 052/164] fix: knowledge setting "knowledge name" input width (#7584) --- .../components/datasets/settings/form/index.tsx | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/web/app/components/datasets/settings/form/index.tsx b/web/app/components/datasets/settings/form/index.tsx index f7519248e6..404a8ed6a0 100644 --- a/web/app/components/datasets/settings/form/index.tsx +++ b/web/app/components/datasets/settings/form/index.tsx @@ -163,12 +163,14 @@ const Form = () => {
{t('datasetSettings.form.name')}
- setName(e.target.value)} - /> +
+ setName(e.target.value)} + /> +
From e42848f4b7071d0ca188c1eb03b19e009bd838a8 Mon Sep 17 00:00:00 2001 From: Amos Date: Fri, 23 Aug 2024 11:50:38 +0100 Subject: [PATCH 053/164] Do not pass query parameter when the value is empty (#7585) --- api/core/tools/tool/api_tool.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/core/tools/tool/api_tool.py b/api/core/tools/tool/api_tool.py index 69e3dfa061..38f10032e2 100644 --- a/api/core/tools/tool/api_tool.py +++ b/api/core/tools/tool/api_tool.py @@ -144,7 +144,7 @@ class ApiTool(Tool): path_params[parameter['name']] = value elif parameter['in'] == 'query': - params[parameter['name']] = value + if value !='': params[parameter['name']] = value elif parameter['in'] == 'cookie': cookies[parameter['name']] = value From 70d6ab0bf5c68d44f1a62dc3e4e744f6a31fe0e3 Mon Sep 17 00:00:00 2001 From: "Jie.F" Date: Fri, 23 Aug 2024 18:58:13 +0800 Subject: [PATCH 054/164] Update stable_diffusion.py (#7536) --- .../stablediffusion/tools/stable_diffusion.py | 41 ++++++++++++++++++- 1 file changed, 39 insertions(+), 2 deletions(-) diff --git a/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.py b/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.py index 0c5ebc23ac..4be9207d66 100644 --- a/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.py +++ b/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.py @@ -27,7 +27,7 @@ DRAW_TEXT_OPTIONS = { "seed_resize_from_w": -1, # Samplers - # "sampler_name": "DPM++ 2M", + "sampler_name": "DPM++ 2M", # "scheduler": "", # "sampler_index": "Automatic", @@ -178,6 +178,23 @@ class StableDiffusionTool(BuiltinTool): return [d['model_name'] for d in response.json()] except Exception as e: return [] + + def get_sample_methods(self) -> list[str]: + """ + get sample method + """ + try: + base_url = self.runtime.credentials.get('base_url', None) + if not base_url: + return [] + api_url = str(URL(base_url) / 'sdapi' / 'v1' / 'samplers') + response = get(url=api_url, timeout=(2, 10)) + if response.status_code != 200: + return [] + else: + return [d['name'] for d in response.json()] + except Exception as e: + return [] def img2img(self, base_url: str, tool_parameters: dict[str, Any]) \ -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: @@ -339,7 +356,27 @@ class StableDiffusionTool(BuiltinTool): label=I18nObject(en_US=i, zh_Hans=i) ) for i in models]) ) + except: pass - + + sample_methods = self.get_sample_methods() + if len(sample_methods) != 0: + parameters.append( + ToolParameter(name='sampler_name', + label=I18nObject(en_US='Sampling method', zh_Hans='Sampling method'), + human_description=I18nObject( + en_US='Sampling method of Stable Diffusion, you can check the official documentation of Stable Diffusion', + zh_Hans='Stable Diffusion 的Sampling method，您可以查看 Stable Diffusion 的官方文档', + ), + type=ToolParameter.ToolParameterType.SELECT, + form=ToolParameter.ToolParameterForm.FORM, + llm_description='Sampling method of Stable Diffusion, you can check the official documentation of Stable Diffusion', + required=True, + default=sample_methods[0], + options=[ToolParameterOption( + value=i, + label=I18nObject(en_US=i, zh_Hans=i) + ) for i in sample_methods]) + ) return parameters From 8807d880dc50a540e74463c5c05ef277ef4bb57e Mon Sep 17 00:00:00 2001 From: Junyan Qin <1010553892@qq.com> Date: Fri, 23 Aug 2024 19:16:30 +0800 Subject: [PATCH 055/164] Feat: add OneBot protocol tool (#7583) --- .../provider/builtin/onebot/_assets/icon.ico | Bin 0 -> 38078 bytes .../tools/provider/builtin/onebot/onebot.py | 12 ++++ .../tools/provider/builtin/onebot/onebot.yaml | 35 ++++++++++ .../provider/builtin/onebot/tools/__init__.py | 0 .../builtin/onebot/tools/send_group_msg.py | 62 ++++++++++++++++++ .../builtin/onebot/tools/send_group_msg.yaml | 46 +++++++++++++ .../builtin/onebot/tools/send_private_msg.py | 61 +++++++++++++++++ .../onebot/tools/send_private_msg.yaml | 46 +++++++++++++ 8 files changed, 262 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b/api/core/tools/provider/builtin/onebot/onebot.py @@ -0,0 +1,12 @@ +from typing import Any + +from core.tools.errors import ToolProviderCredentialValidationError +from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController + + +class OneBotProvider(BuiltinToolProviderController): + + def _validate_credentials(self, credentials: dict[str, Any]) -> None: + + if not credentials.get("ob11_http_url"): + raise ToolProviderCredentialValidationError('OneBot HTTP URL is required.') diff --git a/api/core/tools/provider/builtin/onebot/onebot.yaml b/api/core/tools/provider/builtin/onebot/onebot.yaml new file mode 100644 index 0000000000..1922adc4de --- /dev/null +++ b/api/core/tools/provider/builtin/onebot/onebot.yaml @@ -0,0 +1,35 @@ +identity: + author: RockChinQ + name: onebot + label: + en_US: OneBot v11 Protocol + zh_Hans: OneBot v11 协议 + description: + en_US: Unofficial OneBot v11 Protocol Tool + zh_Hans: 非官方 OneBot v11 协议工具 + icon: icon.ico +credentials_for_provider: + ob11_http_url: + type: text-input + required: true + label: + en_US: HTTP URL + zh_Hans: HTTP URL + description: + en_US: Forward HTTP URL of OneBot v11 + zh_Hans: OneBot v11 正向 HTTP URL + help: + en_US: Fill this with the HTTP URL of your OneBot server + zh_Hans: 请在你的 OneBot 协议端开启 正向 HTTP 并填写其 URL + access_token: + type: secret-input + required: false + label: + en_US: Access Token + zh_Hans: 访问令牌 + description: + en_US: Access Token for OneBot v11 Protocol + zh_Hans: OneBot 协议访问令牌 + help: + en_US: Fill this if you set a access token in your OneBot server + zh_Hans: 如果你在 OneBot 服务器中设置了 access token，请填写此项 diff --git a/api/core/tools/provider/builtin/onebot/tools/__init__.py b/api/core/tools/provider/builtin/onebot/tools/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/core/tools/provider/builtin/onebot/tools/send_group_msg.py b/api/core/tools/provider/builtin/onebot/tools/send_group_msg.py new file mode 100644 index 0000000000..802bb7b610 --- /dev/null +++ b/api/core/tools/provider/builtin/onebot/tools/send_group_msg.py @@ -0,0 +1,62 @@ +from typing import Any, Union + +import requests + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.tool.builtin_tool import BuiltinTool + + +class SendGroupMsg(BuiltinTool): + """OneBot v11 Tool: Send Group Message""" + + def _invoke( + self, + user_id: str, + tool_parameters: dict[str, Any] + ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: + + # Get parameters + send_group_id = tool_parameters.get('group_id', '') + + message = tool_parameters.get('message', '') + if not message: + return self.create_json_message( + { + 'error': 'Message is empty.' + } + ) + + auto_escape = tool_parameters.get('auto_escape', False) + + try: + + resp = requests.post( + f'{self.runtime.credentials['ob11_http_url']}/send_group_msg', + json={ + 'group_id': send_group_id, + 'message': message, + 'auto_escape': auto_escape + }, + headers={ + 'Authorization': 'Bearer ' + self.runtime.credentials['access_token'] + } + ) + + if resp.status_code != 200: + return self.create_json_message( + { + 'error': f'Failed to send group message: {resp.text}' + } + ) + + return self.create_json_message( + { + 'response': resp.json() + } + ) + except Exception as e: + return self.create_json_message( + { + 'error': f'Failed to send group message: {e}' + } + ) diff --git a/api/core/tools/provider/builtin/onebot/tools/send_group_msg.yaml b/api/core/tools/provider/builtin/onebot/tools/send_group_msg.yaml new file mode 100644 index 0000000000..64beaa8545 --- /dev/null +++ b/api/core/tools/provider/builtin/onebot/tools/send_group_msg.yaml @@ -0,0 +1,46 @@ +identity: + name: send_group_msg + author: RockChinQ + label: + en_US: Send Group Message + zh_Hans: 发送群消息 +description: + human: + en_US: Send a message to a group + zh_Hans: 发送消息到群聊 + llm: A tool for sending a message segment to a group +parameters: + - name: group_id + type: number + required: true + label: + en_US: Target Group ID + zh_Hans: 目标群 ID + human_description: + en_US: The group ID of the target group + zh_Hans: 目标群的群 ID + llm_description: The group ID of the target group + form: llm + - name: message + type: string + required: true + label: + en_US: Message + zh_Hans: 消息 + human_description: + en_US: The message to send + zh_Hans: 要发送的消息。支持 CQ码（需要同时设置 auto_escape 为 true） + llm_description: The message to send + form: llm + - name: auto_escape + type: boolean + required: false + default: false + label: + en_US: Auto Escape + zh_Hans: 自动转义 + human_description: + en_US: If true, the message will be treated as a CQ code for parsing, otherwise it will be treated as plain text for direct sending. Since Dify currently does not support passing Object-format message chains, developers can send complex message components through CQ codes. + zh_Hans: 若为 true 则会把 message 视为 CQ 码解析，否则视为 纯文本 直接发送。由于 Dify 目前不支持传入 Object格式 的消息，故开发者可以通过 CQ 码来发送复杂消息组件。 + llm_description: If true, the message will be treated as a CQ code for parsing, otherwise it will be treated as plain text for direct sending. + form: form diff --git a/api/core/tools/provider/builtin/onebot/tools/send_private_msg.py b/api/core/tools/provider/builtin/onebot/tools/send_private_msg.py new file mode 100644 index 0000000000..a11c7a46c0 --- /dev/null +++ b/api/core/tools/provider/builtin/onebot/tools/send_private_msg.py @@ -0,0 +1,61 @@ +from typing import Any, Union + +import requests + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.tool.builtin_tool import BuiltinTool + + +class SendPrivateMsg(BuiltinTool): + """OneBot v11 Tool: Send Private Message""" + + def _invoke( + self, + user_id: str, + tool_parameters: dict[str, Any] + ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: + + # Get parameters + send_user_id = tool_parameters.get('user_id', '') + + message = tool_parameters.get('message', '') + if not message: + return self.create_json_message( + { + 'error': 'Message is empty.' + } + ) + + auto_escape = tool_parameters.get('auto_escape', False) + + try: + resp = requests.post( + f'{self.runtime.credentials['ob11_http_url']}/send_private_msg', + json={ + 'user_id': send_user_id, + 'message': message, + 'auto_escape': auto_escape + }, + headers={ + 'Authorization': 'Bearer ' + self.runtime.credentials['access_token'] + } + ) + + if resp.status_code != 200: + return self.create_json_message( + { + 'error': f'Failed to send private message: {resp.text}' + } + ) + + return self.create_json_message( + { + 'response': resp.json() + } + ) + except Exception as e: + return self.create_json_message( + { + 'error': f'Failed to send private message: {e}' + } + ) \ No newline at end of file diff --git a/api/core/tools/provider/builtin/onebot/tools/send_private_msg.yaml b/api/core/tools/provider/builtin/onebot/tools/send_private_msg.yaml new file mode 100644 index 0000000000..8200ce4a83 --- /dev/null +++ b/api/core/tools/provider/builtin/onebot/tools/send_private_msg.yaml @@ -0,0 +1,46 @@ +identity: + name: send_private_msg + author: RockChinQ + label: + en_US: Send Private Message + zh_Hans: 发送私聊消息 +description: + human: + en_US: Send a private message to a user + zh_Hans: 发送私聊消息给用户 + llm: A tool for sending a message segment to a user in private chat +parameters: + - name: user_id + type: number + required: true + label: + en_US: Target User ID + zh_Hans: 目标用户 ID + human_description: + en_US: The user ID of the target user + zh_Hans: 目标用户的用户 ID + llm_description: The user ID of the target user + form: llm + - name: message + type: string + required: true + label: + en_US: Message + zh_Hans: 消息 + human_description: + en_US: The message to send + zh_Hans: 要发送的消息。支持 CQ码（需要同时设置 auto_escape 为 true） + llm_description: The message to send + form: llm + - name: auto_escape + type: boolean + required: false + default: false + label: + en_US: Auto Escape + zh_Hans: 自动转义 + human_description: + en_US: If true, the message will be treated as a CQ code for parsing, otherwise it will be treated as plain text for direct sending. Since Dify currently does not support passing Object-format message chains, developers can send complex message components through CQ codes. + zh_Hans: 若为 true 则会把 message 视为 CQ 码解析，否则视为 纯文本 直接发送。由于 Dify 目前不支持传入 Object格式 的消息，故开发者可以通过 CQ 码来发送复杂消息组件。 + llm_description: If true, the message will be treated as a CQ code for parsing, otherwise it will be treated as plain text for direct sending. + form: form From e3d7c7c6f961a1b83feda718390e388a7ca2d8a5 Mon Sep 17 00:00:00 2001 From: Junyan Qin <1010553892@qq.com> Date: Fri, 23 Aug 2024 22:22:42 +0800 Subject: [PATCH 056/164] fix(onebot): use yarl to format url (#7589) --- .../tools/provider/builtin/onebot/tools/send_group_msg.py | 4 +++- .../tools/provider/builtin/onebot/tools/send_private_msg.py | 5 ++++- 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/api/core/tools/provider/builtin/onebot/tools/send_group_msg.py b/api/core/tools/provider/builtin/onebot/tools/send_group_msg.py index 802bb7b610..2a1a9f86de 100644 --- a/api/core/tools/provider/builtin/onebot/tools/send_group_msg.py +++ b/api/core/tools/provider/builtin/onebot/tools/send_group_msg.py @@ -1,6 +1,7 @@ from typing import Any, Union import requests +from yarl import URL from core.tools.entities.tool_entities import ToolInvokeMessage from core.tools.tool.builtin_tool import BuiltinTool @@ -29,9 +30,10 @@ class SendGroupMsg(BuiltinTool): auto_escape = tool_parameters.get('auto_escape', False) try: + url = URL(self.runtime.credentials['ob11_http_url']) / 'send_group_msg' resp = requests.post( - f'{self.runtime.credentials['ob11_http_url']}/send_group_msg', + url, json={ 'group_id': send_group_id, 'message': message, diff --git a/api/core/tools/provider/builtin/onebot/tools/send_private_msg.py b/api/core/tools/provider/builtin/onebot/tools/send_private_msg.py index a11c7a46c0..8ef4d72ab6 100644 --- a/api/core/tools/provider/builtin/onebot/tools/send_private_msg.py +++ b/api/core/tools/provider/builtin/onebot/tools/send_private_msg.py @@ -1,6 +1,7 @@ from typing import Any, Union import requests +from yarl import URL from core.tools.entities.tool_entities import ToolInvokeMessage from core.tools.tool.builtin_tool import BuiltinTool @@ -29,8 +30,10 @@ class SendPrivateMsg(BuiltinTool): auto_escape = tool_parameters.get('auto_escape', False) try: + url = URL(self.runtime.credentials['ob11_http_url']) / 'send_private_msg' + resp = requests.post( - f'{self.runtime.credentials['ob11_http_url']}/send_private_msg', + url, json={ 'user_id': send_user_id, 'message': message, From 3ace01cfb35b3e473a53993ddc35b1e39e2aee0b Mon Sep 17 00:00:00 2001 From: Bowen Liang Date: Fri, 23 Aug 2024 22:40:07 +0800 Subject: [PATCH 057/164] chore: cleanup and rearrange unclassified configs into feature config groups (#7586) --- api/configs/app_config.py | 37 +------- api/configs/deploy/__init__.py | 5 ++ api/configs/feature/__init__.py | 86 ++++++++++++++++++- api/core/workflow/nodes/code/code_node.py | 43 +++++----- .../nodes/http_request/http_executor.py | 23 ++--- api/poetry.lock | 9 +- api/pyproject.toml | 2 +- 7 files changed, 125 insertions(+), 80 deletions(-) diff --git a/api/configs/app_config.py b/api/configs/app_config.py index 494e256442..ff8c77de48 100644 --- a/api/configs/app_config.py +++ b/api/configs/app_config.py @@ -1,4 +1,3 @@ -from pydantic import Field, computed_field from pydantic_settings import SettingsConfigDict from configs.deploy import DeploymentConfig @@ -24,8 +23,6 @@ class DifyConfig( # **Before using, please contact business@dify.ai by email to inquire about licensing matters.** EnterpriseFeatureConfig, ): - DEBUG: bool = Field(default=False, description='whether to enable debug mode.') - model_config = SettingsConfigDict( # read from dotenv format config file env_file='.env', @@ -35,33 +32,7 @@ class DifyConfig( extra='ignore', ) - CODE_MAX_NUMBER: int = 9223372036854775807 - CODE_MIN_NUMBER: int = -9223372036854775808 - CODE_MAX_DEPTH: int = 5 - CODE_MAX_PRECISION: int = 20 - CODE_MAX_STRING_LENGTH: int = 80000 - CODE_MAX_STRING_ARRAY_LENGTH: int = 30 - CODE_MAX_OBJECT_ARRAY_LENGTH: int = 30 - CODE_MAX_NUMBER_ARRAY_LENGTH: int = 1000 - - HTTP_REQUEST_MAX_CONNECT_TIMEOUT: int = 300 - HTTP_REQUEST_MAX_READ_TIMEOUT: int = 600 - HTTP_REQUEST_MAX_WRITE_TIMEOUT: int = 600 - HTTP_REQUEST_NODE_MAX_BINARY_SIZE: int = 1024 * 1024 * 10 - - @computed_field - def HTTP_REQUEST_NODE_READABLE_MAX_BINARY_SIZE(self) -> str: - return f'{self.HTTP_REQUEST_NODE_MAX_BINARY_SIZE / 1024 / 1024:.2f}MB' - - HTTP_REQUEST_NODE_MAX_TEXT_SIZE: int = 1024 * 1024 - - @computed_field - def HTTP_REQUEST_NODE_READABLE_MAX_TEXT_SIZE(self) -> str: - return f'{self.HTTP_REQUEST_NODE_MAX_TEXT_SIZE / 1024 / 1024:.2f}MB' - - SSRF_PROXY_HTTP_URL: str | None = None - SSRF_PROXY_HTTPS_URL: str | None = None - - MODERATION_BUFFER_SIZE: int = Field(default=300, description='The buffer size for moderation.') - - MAX_VARIABLE_SIZE: int = Field(default=5 * 1024, description='The maximum size of a variable. default is 5KB.') + # Before adding any config, + # please consider to arrange it in the proper config group of existed or added + # for better readability and maintainability. + # Thanks for your concentration and consideration. diff --git a/api/configs/deploy/__init__.py b/api/configs/deploy/__init__.py index 219b315784..c99e3d21d2 100644 --- a/api/configs/deploy/__init__.py +++ b/api/configs/deploy/__init__.py @@ -11,6 +11,11 @@ class DeploymentConfig(BaseSettings): default='langgenius/dify', ) + DEBUG: bool = Field( + description='whether to enable debug mode.', + default=False, + ) + TESTING: bool = Field( description='', default=False, diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py index 27de2c0461..7f36abf7a6 100644 --- a/api/configs/feature/__init__.py +++ b/api/configs/feature/__init__.py @@ -1,6 +1,6 @@ from typing import Optional -from pydantic import AliasChoices, Field, NonNegativeInt, PositiveInt, computed_field +from pydantic import AliasChoices, Field, NegativeInt, NonNegativeInt, PositiveInt, computed_field from pydantic_settings import BaseSettings from configs.feature.hosted_service import HostedServiceConfig @@ -52,6 +52,46 @@ class CodeExecutionSandboxConfig(BaseSettings): default='dify-sandbox', ) + CODE_MAX_NUMBER: PositiveInt = Field( + description='max depth for code execution', + default=9223372036854775807, + ) + + CODE_MIN_NUMBER: NegativeInt = Field( + description='', + default=-9223372036854775807, + ) + + CODE_MAX_DEPTH: PositiveInt = Field( + description='max depth for code execution', + default=5, + ) + + CODE_MAX_PRECISION: PositiveInt = Field( + description='max precision digits for float type in code execution', + default=20, + ) + + CODE_MAX_STRING_LENGTH: PositiveInt = Field( + description='max string length for code execution', + default=80000, + ) + + CODE_MAX_STRING_ARRAY_LENGTH: PositiveInt = Field( + description='', + default=30, + ) + + CODE_MAX_OBJECT_ARRAY_LENGTH: PositiveInt = Field( + description='', + default=30, + ) + + CODE_MAX_NUMBER_ARRAY_LENGTH: PositiveInt = Field( + description='', + default=1000, + ) + class EndpointConfig(BaseSettings): """ @@ -157,6 +197,41 @@ class HttpConfig(BaseSettings): def WEB_API_CORS_ALLOW_ORIGINS(self) -> list[str]: return self.inner_WEB_API_CORS_ALLOW_ORIGINS.split(',') + HTTP_REQUEST_MAX_CONNECT_TIMEOUT: NonNegativeInt = Field( + description='', + default=300, + ) + + HTTP_REQUEST_MAX_READ_TIMEOUT: NonNegativeInt = Field( + description='', + default=600, + ) + + HTTP_REQUEST_MAX_WRITE_TIMEOUT: NonNegativeInt = Field( + description='', + default=600, + ) + + HTTP_REQUEST_NODE_MAX_BINARY_SIZE: PositiveInt = Field( + description='', + default=10 * 1024 * 1024, + ) + + HTTP_REQUEST_NODE_MAX_TEXT_SIZE: PositiveInt = Field( + description='', + default=1 * 1024 * 1024, + ) + + SSRF_PROXY_HTTP_URL: Optional[str] = Field( + description='HTTP URL for SSRF proxy', + default=None, + ) + + SSRF_PROXY_HTTPS_URL: Optional[str] = Field( + description='HTTPS URL for SSRF proxy', + default=None, + ) + class InnerAPIConfig(BaseSettings): """ @@ -255,6 +330,11 @@ class WorkflowConfig(BaseSettings): default=5, ) + MAX_VARIABLE_SIZE: PositiveInt = Field( + description='The maximum size in bytes of a variable. default to 5KB.', + default=5 * 1024, + ) + class OAuthConfig(BaseSettings): """ @@ -291,8 +371,7 @@ class ModerationConfig(BaseSettings): Moderation in app configs. """ - # todo: to be clarified in usage and unit - OUTPUT_MODERATION_BUFFER_SIZE: PositiveInt = Field( + MODERATION_BUFFER_SIZE: PositiveInt = Field( description='buffer size for moderation', default=300, ) @@ -444,7 +523,6 @@ class CeleryBeatConfig(BaseSettings): class PositionConfig(BaseSettings): - POSITION_PROVIDER_PINS: str = Field( description='The heads of model providers', default='', diff --git a/api/core/workflow/nodes/code/code_node.py b/api/core/workflow/nodes/code/code_node.py index 71adf18a51..17554d3db4 100644 --- a/api/core/workflow/nodes/code/code_node.py +++ b/api/core/workflow/nodes/code/code_node.py @@ -11,15 +11,6 @@ from core.workflow.nodes.base_node import BaseNode from core.workflow.nodes.code.entities import CodeNodeData from models.workflow import WorkflowNodeExecutionStatus -MAX_NUMBER = dify_config.CODE_MAX_NUMBER -MIN_NUMBER = dify_config.CODE_MIN_NUMBER -MAX_PRECISION = dify_config.CODE_MAX_PRECISION -MAX_DEPTH = dify_config.CODE_MAX_DEPTH -MAX_STRING_LENGTH = dify_config.CODE_MAX_STRING_LENGTH -MAX_STRING_ARRAY_LENGTH = dify_config.CODE_MAX_STRING_ARRAY_LENGTH -MAX_OBJECT_ARRAY_LENGTH = dify_config.CODE_MAX_OBJECT_ARRAY_LENGTH -MAX_NUMBER_ARRAY_LENGTH = dify_config.CODE_MAX_NUMBER_ARRAY_LENGTH - class CodeNode(BaseNode): _node_data_cls = CodeNodeData @@ -97,8 +88,9 @@ class CodeNode(BaseNode): else: raise ValueError(f"Output variable `{variable}` must be a string") - if len(value) > MAX_STRING_LENGTH: - raise ValueError(f'The length of output variable `{variable}` must be less than {MAX_STRING_LENGTH} characters') + if len(value) > dify_config.CODE_MAX_STRING_ARRAY_LENGTH: + raise ValueError(f'The length of output variable `{variable}` must be' + f' less than {dify_config.CODE_MAX_STRING_ARRAY_LENGTH} characters') return value.replace('\x00', '') @@ -115,13 +107,15 @@ class CodeNode(BaseNode): else: raise ValueError(f"Output variable `{variable}` must be a number") - if value > MAX_NUMBER or value < MIN_NUMBER: - raise ValueError(f'Output variable `{variable}` is out of range, it must be between {MIN_NUMBER} and {MAX_NUMBER}.') + if value > dify_config.CODE_MAX_NUMBER or value < dify_config.CODE_MIN_NUMBER: + raise ValueError(f'Output variable `{variable}` is out of range,' + f' it must be between {dify_config.CODE_MIN_NUMBER} and {dify_config.CODE_MAX_NUMBER}.') if isinstance(value, float): # raise error if precision is too high - if len(str(value).split('.')[1]) > MAX_PRECISION: - raise ValueError(f'Output variable `{variable}` has too high precision, it must be less than {MAX_PRECISION} digits.') + if len(str(value).split('.')[1]) > dify_config.CODE_MAX_PRECISION: + raise ValueError(f'Output variable `{variable}` has too high precision,' + f' it must be less than {dify_config.CODE_MAX_PRECISION} digits.') return value @@ -134,8 +128,8 @@ class CodeNode(BaseNode): :param output_schema: output schema :return: """ - if depth > MAX_DEPTH: - raise ValueError("Depth limit reached, object too deep.") + if depth > dify_config.CODE_MAX_DEPTH: + raise ValueError(f"Depth limit ${dify_config.CODE_MAX_DEPTH} reached, object too deep.") transformed_result = {} if output_schema is None: @@ -235,9 +229,10 @@ class CodeNode(BaseNode): f'Output {prefix}{dot}{output_name} is not an array, got {type(result.get(output_name))} instead.' ) else: - if len(result[output_name]) > MAX_NUMBER_ARRAY_LENGTH: + if len(result[output_name]) > dify_config.CODE_MAX_NUMBER_ARRAY_LENGTH: raise ValueError( - f'The length of output variable `{prefix}{dot}{output_name}` must be less than {MAX_NUMBER_ARRAY_LENGTH} elements.' + f'The length of output variable `{prefix}{dot}{output_name}` must be' + f' less than {dify_config.CODE_MAX_NUMBER_ARRAY_LENGTH} elements.' ) transformed_result[output_name] = [ @@ -257,9 +252,10 @@ class CodeNode(BaseNode): f'Output {prefix}{dot}{output_name} is not an array, got {type(result.get(output_name))} instead.' ) else: - if len(result[output_name]) > MAX_STRING_ARRAY_LENGTH: + if len(result[output_name]) > dify_config.CODE_MAX_STRING_ARRAY_LENGTH: raise ValueError( - f'The length of output variable `{prefix}{dot}{output_name}` must be less than {MAX_STRING_ARRAY_LENGTH} elements.' + f'The length of output variable `{prefix}{dot}{output_name}` must be' + f' less than {dify_config.CODE_MAX_STRING_ARRAY_LENGTH} elements.' ) transformed_result[output_name] = [ @@ -279,9 +275,10 @@ class CodeNode(BaseNode): f'Output {prefix}{dot}{output_name} is not an array, got {type(result.get(output_name))} instead.' ) else: - if len(result[output_name]) > MAX_OBJECT_ARRAY_LENGTH: + if len(result[output_name]) > dify_config.CODE_MAX_OBJECT_ARRAY_LENGTH: raise ValueError( - f'The length of output variable `{prefix}{dot}{output_name}` must be less than {MAX_OBJECT_ARRAY_LENGTH} elements.' + f'The length of output variable `{prefix}{dot}{output_name}` must be' + f' less than {dify_config.CODE_MAX_OBJECT_ARRAY_LENGTH} elements.' ) for i, value in enumerate(result[output_name]): diff --git a/api/core/workflow/nodes/http_request/http_executor.py b/api/core/workflow/nodes/http_request/http_executor.py index db18bd00b2..d16bff58bd 100644 --- a/api/core/workflow/nodes/http_request/http_executor.py +++ b/api/core/workflow/nodes/http_request/http_executor.py @@ -18,11 +18,6 @@ from core.workflow.nodes.http_request.entities import ( ) from core.workflow.utils.variable_template_parser import VariableTemplateParser -MAX_BINARY_SIZE = dify_config.HTTP_REQUEST_NODE_MAX_BINARY_SIZE -READABLE_MAX_BINARY_SIZE = dify_config.HTTP_REQUEST_NODE_READABLE_MAX_BINARY_SIZE -MAX_TEXT_SIZE = dify_config.HTTP_REQUEST_NODE_MAX_TEXT_SIZE -READABLE_MAX_TEXT_SIZE = dify_config.HTTP_REQUEST_NODE_READABLE_MAX_TEXT_SIZE - class HttpExecutorResponse: headers: dict[str, str] @@ -237,16 +232,14 @@ class HttpExecutor: else: raise ValueError(f'Invalid response type {type(response)}') - if executor_response.is_file: - if executor_response.size > MAX_BINARY_SIZE: - raise ValueError( - f'File size is too large, max size is {READABLE_MAX_BINARY_SIZE}, but current size is {executor_response.readable_size}.' - ) - else: - if executor_response.size > MAX_TEXT_SIZE: - raise ValueError( - f'Text size is too large, max size is {READABLE_MAX_TEXT_SIZE}, but current size is {executor_response.readable_size}.' - ) + threshold_size = dify_config.HTTP_REQUEST_NODE_MAX_BINARY_SIZE if executor_response.is_file \ + else dify_config.HTTP_REQUEST_NODE_MAX_TEXT_SIZE + if executor_response.size > threshold_size: + raise ValueError( + f'{"File" if executor_response.is_file else "Text"} size is too large,' + f' max size is {threshold_size / 1024 / 1024:.2f} MB,' + f' but current size is {executor_response.readable_size}.' + ) return executor_response diff --git a/api/poetry.lock b/api/poetry.lock index a68eadefcf..0a8919a30a 100644 --- a/api/poetry.lock +++ b/api/poetry.lock @@ -6372,13 +6372,13 @@ semver = ["semver (>=3.0.2)"] [[package]] name = "pydantic-settings" -version = "2.3.4" +version = "2.4.0" description = "Settings management using Pydantic" optional = false python-versions = ">=3.8" files = [ - {file = "pydantic_settings-2.3.4-py3-none-any.whl", hash = "sha256:11ad8bacb68a045f00e4f862c7a718c8a9ec766aa8fd4c32e39a0594b207b53a"}, - {file = "pydantic_settings-2.3.4.tar.gz", hash = "sha256:c5802e3d62b78e82522319bbc9b8f8ffb28ad1c988a99311d04f2a6051fca0a7"}, + {file = "pydantic_settings-2.4.0-py3-none-any.whl", hash = "sha256:bb6849dc067f1687574c12a639e231f3a6feeed0a12d710c1382045c5db1c315"}, + {file = "pydantic_settings-2.4.0.tar.gz", hash = "sha256:ed81c3a0f46392b4d7c0a565c05884e6e54b3456e6f0fe4d8814981172dc9a88"}, ] [package.dependencies] @@ -6386,6 +6386,7 @@ pydantic = ">=2.7.0" python-dotenv = ">=0.21.0" [package.extras] +azure-key-vault = ["azure-identity (>=1.16.0)", "azure-keyvault-secrets (>=4.8.0)"] toml = ["tomli (>=2.0.1)"] yaml = ["pyyaml (>=6.0.1)"] @@ -9633,4 +9634,4 @@ cffi = ["cffi (>=1.11)"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.13" -content-hash = "69c20af8ecacced3cca092662223a1511acaf65cb2616a5a1e38b498223463e0" +content-hash = "d7336115709114c2a4ff09b392f717e9c3547ae82b6a111d0c885c7a44269f02" diff --git a/api/pyproject.toml b/api/pyproject.toml index 8e050c4101..47b638573b 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -162,7 +162,7 @@ pandas = { version = "~2.2.2", extras = ["performance", "excel"] } psycopg2-binary = "~2.9.6" pycryptodome = "3.19.1" pydantic = "~2.8.2" -pydantic-settings = "~2.3.4" +pydantic-settings = "~2.4.0" pydantic_extra_types = "~2.9.0" pyjwt = "~2.8.0" pypdfium2 = "~4.17.0" From 2da63654e545f56695778c191b8b68f94775fd36 Mon Sep 17 00:00:00 2001 From: Bowen Liang Date: Fri, 23 Aug 2024 23:46:01 +0800 Subject: [PATCH 058/164] chore(api/configs): apply ruff reformat (#7590) --- api/configs/__init__.py | 2 +- api/configs/app_config.py | 6 +- api/configs/deploy/__init__.py | 17 +- api/configs/enterprise/__init__.py | 7 +- api/configs/extra/notion_config.py | 11 +- api/configs/extra/sentry_config.py | 7 +- api/configs/feature/__init__.py | 258 +++++++++--------- .../feature/hosted_service/__init__.py | 101 ++++--- api/configs/middleware/__init__.py | 97 +++---- api/configs/middleware/cache/redis_config.py | 15 +- .../storage/aliyun_oss_storage_config.py | 12 +- .../storage/amazon_s3_storage_config.py | 16 +- .../storage/azure_blob_storage_config.py | 8 +- .../storage/google_cloud_storage_config.py | 4 +- .../middleware/storage/oci_storage_config.py | 11 +- .../storage/tencent_cos_storage_config.py | 10 +- .../middleware/vdb/analyticdb_config.py | 39 ++- api/configs/middleware/vdb/chroma_config.py | 12 +- api/configs/middleware/vdb/milvus_config.py | 14 +- api/configs/middleware/vdb/myscale_config.py | 23 +- .../middleware/vdb/opensearch_config.py | 10 +- api/configs/middleware/vdb/oracle_config.py | 10 +- api/configs/middleware/vdb/pgvector_config.py | 10 +- .../middleware/vdb/pgvectors_config.py | 10 +- api/configs/middleware/vdb/qdrant_config.py | 10 +- api/configs/middleware/vdb/relyt_config.py | 12 +- .../middleware/vdb/tencent_vector_config.py | 16 +- .../middleware/vdb/tidb_vector_config.py | 10 +- api/configs/middleware/vdb/weaviate_config.py | 8 +- api/configs/packaging/__init__.py | 6 +- api/pyproject.toml | 1 - 31 files changed, 388 insertions(+), 385 deletions(-) diff --git a/api/configs/__init__.py b/api/configs/__init__.py index c0e28c34e1..3a172601c9 100644 --- a/api/configs/__init__.py +++ b/api/configs/__init__.py @@ -1,3 +1,3 @@ from .app_config import DifyConfig -dify_config = DifyConfig() \ No newline at end of file +dify_config = DifyConfig() diff --git a/api/configs/app_config.py b/api/configs/app_config.py index ff8c77de48..61de73c868 100644 --- a/api/configs/app_config.py +++ b/api/configs/app_config.py @@ -25,11 +25,11 @@ class DifyConfig( ): model_config = SettingsConfigDict( # read from dotenv format config file - env_file='.env', - env_file_encoding='utf-8', + env_file=".env", + env_file_encoding="utf-8", frozen=True, # ignore extra attributes - extra='ignore', + extra="ignore", ) # Before adding any config, diff --git a/api/configs/deploy/__init__.py b/api/configs/deploy/__init__.py index c99e3d21d2..10271483c4 100644 --- a/api/configs/deploy/__init__.py +++ b/api/configs/deploy/__init__.py @@ -6,27 +6,28 @@ class DeploymentConfig(BaseSettings): """ Deployment configs """ + APPLICATION_NAME: str = Field( - description='application name', - default='langgenius/dify', + description="application name", + default="langgenius/dify", ) DEBUG: bool = Field( - description='whether to enable debug mode.', + description="whether to enable debug mode.", default=False, ) TESTING: bool = Field( - description='', + description="", default=False, ) EDITION: str = Field( - description='deployment edition', - default='SELF_HOSTED', + description="deployment edition", + default="SELF_HOSTED", ) DEPLOY_ENV: str = Field( - description='deployment environment, default to PRODUCTION.', - default='PRODUCTION', + description="deployment environment, default to PRODUCTION.", + default="PRODUCTION", ) diff --git a/api/configs/enterprise/__init__.py b/api/configs/enterprise/__init__.py index b5d884e10e..c661593a44 100644 --- a/api/configs/enterprise/__init__.py +++ b/api/configs/enterprise/__init__.py @@ -7,13 +7,14 @@ class EnterpriseFeatureConfig(BaseSettings): Enterprise feature configs. **Before using, please contact business@dify.ai by email to inquire about licensing matters.** """ + ENTERPRISE_ENABLED: bool = Field( - description='whether to enable enterprise features.' - 'Before using, please contact business@dify.ai by email to inquire about licensing matters.', + description="whether to enable enterprise features." + "Before using, please contact business@dify.ai by email to inquire about licensing matters.", default=False, ) CAN_REPLACE_LOGO: bool = Field( - description='whether to allow replacing enterprise logo.', + description="whether to allow replacing enterprise logo.", default=False, ) diff --git a/api/configs/extra/notion_config.py b/api/configs/extra/notion_config.py index b77e8adaae..bd1268fa45 100644 --- a/api/configs/extra/notion_config.py +++ b/api/configs/extra/notion_config.py @@ -8,27 +8,28 @@ class NotionConfig(BaseSettings): """ Notion integration configs """ + NOTION_CLIENT_ID: Optional[str] = Field( - description='Notion client ID', + description="Notion client ID", default=None, ) NOTION_CLIENT_SECRET: Optional[str] = Field( - description='Notion client secret key', + description="Notion client secret key", default=None, ) NOTION_INTEGRATION_TYPE: Optional[str] = Field( - description='Notion integration type, default to None, available values: internal.', + description="Notion integration type, default to None, available values: internal.", default=None, ) NOTION_INTERNAL_SECRET: Optional[str] = Field( - description='Notion internal secret key', + description="Notion internal secret key", default=None, ) NOTION_INTEGRATION_TOKEN: Optional[str] = Field( - description='Notion integration token', + description="Notion integration token", default=None, ) diff --git a/api/configs/extra/sentry_config.py b/api/configs/extra/sentry_config.py index e6517f730a..ea9ea60ffb 100644 --- a/api/configs/extra/sentry_config.py +++ b/api/configs/extra/sentry_config.py @@ -8,17 +8,18 @@ class SentryConfig(BaseSettings): """ Sentry configs """ + SENTRY_DSN: Optional[str] = Field( - description='Sentry DSN', + description="Sentry DSN", default=None, ) SENTRY_TRACES_SAMPLE_RATE: NonNegativeFloat = Field( - description='Sentry trace sample rate', + description="Sentry trace sample rate", default=1.0, ) SENTRY_PROFILES_SAMPLE_RATE: NonNegativeFloat = Field( - description='Sentry profiles sample rate', + description="Sentry profiles sample rate", default=1.0, ) diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py index 7f36abf7a6..46ae7a0bc8 100644 --- a/api/configs/feature/__init__.py +++ b/api/configs/feature/__init__.py @@ -10,16 +10,17 @@ class SecurityConfig(BaseSettings): """ Secret Key configs """ + SECRET_KEY: Optional[str] = Field( - description='Your App secret key will be used for securely signing the session cookie' - 'Make sure you are changing this key for your deployment with a strong key.' - 'You can generate a strong key using `openssl rand -base64 42`.' - 'Alternatively you can set it with `SECRET_KEY` environment variable.', + description="Your App secret key will be used for securely signing the session cookie" + "Make sure you are changing this key for your deployment with a strong key." + "You can generate a strong key using `openssl rand -base64 42`." + "Alternatively you can set it with `SECRET_KEY` environment variable.", default=None, ) RESET_PASSWORD_TOKEN_EXPIRY_HOURS: PositiveInt = Field( - description='Expiry time in hours for reset token', + description="Expiry time in hours for reset token", default=24, ) @@ -28,12 +29,13 @@ class AppExecutionConfig(BaseSettings): """ App Execution configs """ + APP_MAX_EXECUTION_TIME: PositiveInt = Field( - description='execution timeout in seconds for app execution', + description="execution timeout in seconds for app execution", default=1200, ) APP_MAX_ACTIVE_REQUESTS: NonNegativeInt = Field( - description='max active request per app, 0 means unlimited', + description="max active request per app, 0 means unlimited", default=0, ) @@ -42,53 +44,54 @@ class CodeExecutionSandboxConfig(BaseSettings): """ Code Execution Sandbox configs """ + CODE_EXECUTION_ENDPOINT: str = Field( - description='endpoint URL of code execution servcie', - default='http://sandbox:8194', + description="endpoint URL of code execution servcie", + default="http://sandbox:8194", ) CODE_EXECUTION_API_KEY: str = Field( - description='API key for code execution service', - default='dify-sandbox', + description="API key for code execution service", + default="dify-sandbox", ) CODE_MAX_NUMBER: PositiveInt = Field( - description='max depth for code execution', + description="max depth for code execution", default=9223372036854775807, ) CODE_MIN_NUMBER: NegativeInt = Field( - description='', + description="", default=-9223372036854775807, ) CODE_MAX_DEPTH: PositiveInt = Field( - description='max depth for code execution', + description="max depth for code execution", default=5, ) CODE_MAX_PRECISION: PositiveInt = Field( - description='max precision digits for float type in code execution', + description="max precision digits for float type in code execution", default=20, ) CODE_MAX_STRING_LENGTH: PositiveInt = Field( - description='max string length for code execution', + description="max string length for code execution", default=80000, ) CODE_MAX_STRING_ARRAY_LENGTH: PositiveInt = Field( - description='', + description="", default=30, ) CODE_MAX_OBJECT_ARRAY_LENGTH: PositiveInt = Field( - description='', + description="", default=30, ) CODE_MAX_NUMBER_ARRAY_LENGTH: PositiveInt = Field( - description='', + description="", default=1000, ) @@ -97,28 +100,27 @@ class EndpointConfig(BaseSettings): """ Module URL configs """ + CONSOLE_API_URL: str = Field( - description='The backend URL prefix of the console API.' - 'used to concatenate the login authorization callback or notion integration callback.', - default='', + description="The backend URL prefix of the console API." + "used to concatenate the login authorization callback or notion integration callback.", + default="", ) CONSOLE_WEB_URL: str = Field( - description='The front-end URL prefix of the console web.' - 'used to concatenate some front-end addresses and for CORS configuration use.', - default='', + description="The front-end URL prefix of the console web." + "used to concatenate some front-end addresses and for CORS configuration use.", + default="", ) SERVICE_API_URL: str = Field( - description='Service API Url prefix.' - 'used to display Service API Base Url to the front-end.', - default='', + description="Service API Url prefix." "used to display Service API Base Url to the front-end.", + default="", ) APP_WEB_URL: str = Field( - description='WebApp Url prefix.' - 'used to display WebAPP API Base Url to the front-end.', - default='', + description="WebApp Url prefix." "used to display WebAPP API Base Url to the front-end.", + default="", ) @@ -126,17 +128,18 @@ class FileAccessConfig(BaseSettings): """ File Access configs """ + FILES_URL: str = Field( - description='File preview or download Url prefix.' - ' used to display File preview or download Url to the front-end or as Multi-model inputs;' - 'Url is signed and has expiration time.', - validation_alias=AliasChoices('FILES_URL', 'CONSOLE_API_URL'), + description="File preview or download Url prefix." + " used to display File preview or download Url to the front-end or as Multi-model inputs;" + "Url is signed and has expiration time.", + validation_alias=AliasChoices("FILES_URL", "CONSOLE_API_URL"), alias_priority=1, - default='', + default="", ) FILES_ACCESS_TIMEOUT: int = Field( - description='timeout in seconds for file accessing', + description="timeout in seconds for file accessing", default=300, ) @@ -145,23 +148,24 @@ class FileUploadConfig(BaseSettings): """ File Uploading configs """ + UPLOAD_FILE_SIZE_LIMIT: NonNegativeInt = Field( - description='size limit in Megabytes for uploading files', + description="size limit in Megabytes for uploading files", default=15, ) UPLOAD_FILE_BATCH_LIMIT: NonNegativeInt = Field( - description='batch size limit for uploading files', + description="batch size limit for uploading files", default=5, ) UPLOAD_IMAGE_FILE_SIZE_LIMIT: NonNegativeInt = Field( - description='image file size limit in Megabytes for uploading files', + description="image file size limit in Megabytes for uploading files", default=10, ) BATCH_UPLOAD_LIMIT: NonNegativeInt = Field( - description='', # todo: to be clarified + description="", # todo: to be clarified default=20, ) @@ -170,65 +174,66 @@ class HttpConfig(BaseSettings): """ HTTP configs """ + API_COMPRESSION_ENABLED: bool = Field( - description='whether to enable HTTP response compression of gzip', + description="whether to enable HTTP response compression of gzip", default=False, ) inner_CONSOLE_CORS_ALLOW_ORIGINS: str = Field( - description='', - validation_alias=AliasChoices('CONSOLE_CORS_ALLOW_ORIGINS', 'CONSOLE_WEB_URL'), - default='', + description="", + validation_alias=AliasChoices("CONSOLE_CORS_ALLOW_ORIGINS", "CONSOLE_WEB_URL"), + default="", ) @computed_field @property def CONSOLE_CORS_ALLOW_ORIGINS(self) -> list[str]: - return self.inner_CONSOLE_CORS_ALLOW_ORIGINS.split(',') + return self.inner_CONSOLE_CORS_ALLOW_ORIGINS.split(",") inner_WEB_API_CORS_ALLOW_ORIGINS: str = Field( - description='', - validation_alias=AliasChoices('WEB_API_CORS_ALLOW_ORIGINS'), - default='*', + description="", + validation_alias=AliasChoices("WEB_API_CORS_ALLOW_ORIGINS"), + default="*", ) @computed_field @property def WEB_API_CORS_ALLOW_ORIGINS(self) -> list[str]: - return self.inner_WEB_API_CORS_ALLOW_ORIGINS.split(',') + return self.inner_WEB_API_CORS_ALLOW_ORIGINS.split(",") HTTP_REQUEST_MAX_CONNECT_TIMEOUT: NonNegativeInt = Field( - description='', + description="", default=300, ) HTTP_REQUEST_MAX_READ_TIMEOUT: NonNegativeInt = Field( - description='', + description="", default=600, ) HTTP_REQUEST_MAX_WRITE_TIMEOUT: NonNegativeInt = Field( - description='', + description="", default=600, ) HTTP_REQUEST_NODE_MAX_BINARY_SIZE: PositiveInt = Field( - description='', + description="", default=10 * 1024 * 1024, ) HTTP_REQUEST_NODE_MAX_TEXT_SIZE: PositiveInt = Field( - description='', + description="", default=1 * 1024 * 1024, ) SSRF_PROXY_HTTP_URL: Optional[str] = Field( - description='HTTP URL for SSRF proxy', + description="HTTP URL for SSRF proxy", default=None, ) SSRF_PROXY_HTTPS_URL: Optional[str] = Field( - description='HTTPS URL for SSRF proxy', + description="HTTPS URL for SSRF proxy", default=None, ) @@ -237,13 +242,14 @@ class InnerAPIConfig(BaseSettings): """ Inner API configs """ + INNER_API: bool = Field( - description='whether to enable the inner API', + description="whether to enable the inner API", default=False, ) INNER_API_KEY: Optional[str] = Field( - description='The inner API key is used to authenticate the inner API', + description="The inner API key is used to authenticate the inner API", default=None, ) @@ -254,28 +260,27 @@ class LoggingConfig(BaseSettings): """ LOG_LEVEL: str = Field( - description='Log output level, default to INFO.' - 'It is recommended to set it to ERROR for production.', - default='INFO', + description="Log output level, default to INFO." "It is recommended to set it to ERROR for production.", + default="INFO", ) LOG_FILE: Optional[str] = Field( - description='logging output file path', + description="logging output file path", default=None, ) LOG_FORMAT: str = Field( - description='log format', - default='%(asctime)s.%(msecs)03d %(levelname)s [%(threadName)s] [%(filename)s:%(lineno)d] - %(message)s', + description="log format", + default="%(asctime)s.%(msecs)03d %(levelname)s [%(threadName)s] [%(filename)s:%(lineno)d] - %(message)s", ) LOG_DATEFORMAT: Optional[str] = Field( - description='log date format', + description="log date format", default=None, ) LOG_TZ: Optional[str] = Field( - description='specify log timezone, eg: America/New_York', + description="specify log timezone, eg: America/New_York", default=None, ) @@ -284,8 +289,9 @@ class ModelLoadBalanceConfig(BaseSettings): """ Model load balance configs """ + MODEL_LB_ENABLED: bool = Field( - description='whether to enable model load balancing', + description="whether to enable model load balancing", default=False, ) @@ -294,8 +300,9 @@ class BillingConfig(BaseSettings): """ Platform Billing Configurations """ + BILLING_ENABLED: bool = Field( - description='whether to enable billing', + description="whether to enable billing", default=False, ) @@ -304,9 +311,10 @@ class UpdateConfig(BaseSettings): """ Update configs """ + CHECK_UPDATE_URL: str = Field( - description='url for checking updates', - default='https://updates.dify.ai', + description="url for checking updates", + default="https://updates.dify.ai", ) @@ -316,22 +324,22 @@ class WorkflowConfig(BaseSettings): """ WORKFLOW_MAX_EXECUTION_STEPS: PositiveInt = Field( - description='max execution steps in single workflow execution', + description="max execution steps in single workflow execution", default=500, ) WORKFLOW_MAX_EXECUTION_TIME: PositiveInt = Field( - description='max execution time in seconds in single workflow execution', + description="max execution time in seconds in single workflow execution", default=1200, ) WORKFLOW_CALL_MAX_DEPTH: PositiveInt = Field( - description='max depth of calling in single workflow execution', + description="max depth of calling in single workflow execution", default=5, ) MAX_VARIABLE_SIZE: PositiveInt = Field( - description='The maximum size in bytes of a variable. default to 5KB.', + description="The maximum size in bytes of a variable. default to 5KB.", default=5 * 1024, ) @@ -340,28 +348,29 @@ class OAuthConfig(BaseSettings): """ oauth configs """ + OAUTH_REDIRECT_PATH: str = Field( - description='redirect path for OAuth', - default='/console/api/oauth/authorize', + description="redirect path for OAuth", + default="/console/api/oauth/authorize", ) GITHUB_CLIENT_ID: Optional[str] = Field( - description='GitHub client id for OAuth', + description="GitHub client id for OAuth", default=None, ) GITHUB_CLIENT_SECRET: Optional[str] = Field( - description='GitHub client secret key for OAuth', + description="GitHub client secret key for OAuth", default=None, ) GOOGLE_CLIENT_ID: Optional[str] = Field( - description='Google client id for OAuth', + description="Google client id for OAuth", default=None, ) GOOGLE_CLIENT_SECRET: Optional[str] = Field( - description='Google client secret key for OAuth', + description="Google client secret key for OAuth", default=None, ) @@ -372,7 +381,7 @@ class ModerationConfig(BaseSettings): """ MODERATION_BUFFER_SIZE: PositiveInt = Field( - description='buffer size for moderation', + description="buffer size for moderation", default=300, ) @@ -383,7 +392,7 @@ class ToolConfig(BaseSettings): """ TOOL_ICON_CACHE_MAX_AGE: PositiveInt = Field( - description='max age in seconds for tool icon caching', + description="max age in seconds for tool icon caching", default=3600, ) @@ -394,52 +403,52 @@ class MailConfig(BaseSettings): """ MAIL_TYPE: Optional[str] = Field( - description='Mail provider type name, default to None, availabile values are `smtp` and `resend`.', + description="Mail provider type name, default to None, availabile values are `smtp` and `resend`.", default=None, ) MAIL_DEFAULT_SEND_FROM: Optional[str] = Field( - description='default email address for sending from ', + description="default email address for sending from ", default=None, ) RESEND_API_KEY: Optional[str] = Field( - description='API key for Resend', + description="API key for Resend", default=None, ) RESEND_API_URL: Optional[str] = Field( - description='API URL for Resend', + description="API URL for Resend", default=None, ) SMTP_SERVER: Optional[str] = Field( - description='smtp server host', + description="smtp server host", default=None, ) SMTP_PORT: Optional[int] = Field( - description='smtp server port', + description="smtp server port", default=465, ) SMTP_USERNAME: Optional[str] = Field( - description='smtp server username', + description="smtp server username", default=None, ) SMTP_PASSWORD: Optional[str] = Field( - description='smtp server password', + description="smtp server password", default=None, ) SMTP_USE_TLS: bool = Field( - description='whether to use TLS connection to smtp server', + description="whether to use TLS connection to smtp server", default=False, ) SMTP_OPPORTUNISTIC_TLS: bool = Field( - description='whether to use opportunistic TLS connection to smtp server', + description="whether to use opportunistic TLS connection to smtp server", default=False, ) @@ -450,22 +459,22 @@ class RagEtlConfig(BaseSettings): """ ETL_TYPE: str = Field( - description='RAG ETL type name, default to `dify`, available values are `dify` and `Unstructured`. ', - default='dify', + description="RAG ETL type name, default to `dify`, available values are `dify` and `Unstructured`. ", + default="dify", ) KEYWORD_DATA_SOURCE_TYPE: str = Field( - description='source type for keyword data, default to `database`, available values are `database` .', - default='database', + description="source type for keyword data, default to `database`, available values are `database` .", + default="database", ) UNSTRUCTURED_API_URL: Optional[str] = Field( - description='API URL for Unstructured', + description="API URL for Unstructured", default=None, ) UNSTRUCTURED_API_KEY: Optional[str] = Field( - description='API key for Unstructured', + description="API key for Unstructured", default=None, ) @@ -476,12 +485,12 @@ class DataSetConfig(BaseSettings): """ CLEAN_DAY_SETTING: PositiveInt = Field( - description='interval in days for cleaning up dataset', + description="interval in days for cleaning up dataset", default=30, ) DATASET_OPERATOR_ENABLED: bool = Field( - description='whether to enable dataset operator', + description="whether to enable dataset operator", default=False, ) @@ -492,7 +501,7 @@ class WorkspaceConfig(BaseSettings): """ INVITE_EXPIRY_HOURS: PositiveInt = Field( - description='workspaces invitation expiration in hours', + description="workspaces invitation expiration in hours", default=72, ) @@ -503,79 +512,79 @@ class IndexingConfig(BaseSettings): """ INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: PositiveInt = Field( - description='max segmentation token length for indexing', + description="max segmentation token length for indexing", default=1000, ) class ImageFormatConfig(BaseSettings): MULTIMODAL_SEND_IMAGE_FORMAT: str = Field( - description='multi model send image format, support base64, url, default is base64', - default='base64', + description="multi model send image format, support base64, url, default is base64", + default="base64", ) class CeleryBeatConfig(BaseSettings): CELERY_BEAT_SCHEDULER_TIME: int = Field( - description='the time of the celery scheduler, default to 1 day', + description="the time of the celery scheduler, default to 1 day", default=1, ) class PositionConfig(BaseSettings): POSITION_PROVIDER_PINS: str = Field( - description='The heads of model providers', - default='', + description="The heads of model providers", + default="", ) POSITION_PROVIDER_INCLUDES: str = Field( - description='The included model providers', - default='', + description="The included model providers", + default="", ) POSITION_PROVIDER_EXCLUDES: str = Field( - description='The excluded model providers', - default='', + description="The excluded model providers", + default="", ) POSITION_TOOL_PINS: str = Field( - description='The heads of tools', - default='', + description="The heads of tools", + default="", ) POSITION_TOOL_INCLUDES: str = Field( - description='The included tools', - default='', + description="The included tools", + default="", ) POSITION_TOOL_EXCLUDES: str = Field( - description='The excluded tools', - default='', + description="The excluded tools", + default="", ) @computed_field def POSITION_PROVIDER_PINS_LIST(self) -> list[str]: - return [item.strip() for item in self.POSITION_PROVIDER_PINS.split(',') if item.strip() != ''] + return [item.strip() for item in self.POSITION_PROVIDER_PINS.split(",") if item.strip() != ""] @computed_field def POSITION_PROVIDER_INCLUDES_SET(self) -> set[str]: - return {item.strip() for item in self.POSITION_PROVIDER_INCLUDES.split(',') if item.strip() != ''} + return {item.strip() for item in self.POSITION_PROVIDER_INCLUDES.split(",") if item.strip() != ""} @computed_field def POSITION_PROVIDER_EXCLUDES_SET(self) -> set[str]: - return {item.strip() for item in self.POSITION_PROVIDER_EXCLUDES.split(',') if item.strip() != ''} + return {item.strip() for item in self.POSITION_PROVIDER_EXCLUDES.split(",") if item.strip() != ""} @computed_field def POSITION_TOOL_PINS_LIST(self) -> list[str]: - return [item.strip() for item in self.POSITION_TOOL_PINS.split(',') if item.strip() != ''] + return [item.strip() for item in self.POSITION_TOOL_PINS.split(",") if item.strip() != ""] @computed_field def POSITION_TOOL_INCLUDES_SET(self) -> set[str]: - return {item.strip() for item in self.POSITION_TOOL_INCLUDES.split(',') if item.strip() != ''} + return {item.strip() for item in self.POSITION_TOOL_INCLUDES.split(",") if item.strip() != ""} @computed_field def POSITION_TOOL_EXCLUDES_SET(self) -> set[str]: - return {item.strip() for item in self.POSITION_TOOL_EXCLUDES.split(',') if item.strip() != ''} + return {item.strip() for item in self.POSITION_TOOL_EXCLUDES.split(",") if item.strip() != ""} class FeatureConfig( @@ -603,7 +612,6 @@ class FeatureConfig( WorkflowConfig, WorkspaceConfig, PositionConfig, - # hosted services config HostedServiceConfig, CeleryBeatConfig, diff --git a/api/configs/feature/hosted_service/__init__.py b/api/configs/feature/hosted_service/__init__.py index 88fe188587..f269d0ab9c 100644 --- a/api/configs/feature/hosted_service/__init__.py +++ b/api/configs/feature/hosted_service/__init__.py @@ -10,62 +10,62 @@ class HostedOpenAiConfig(BaseSettings): """ HOSTED_OPENAI_API_KEY: Optional[str] = Field( - description='', + description="", default=None, ) HOSTED_OPENAI_API_BASE: Optional[str] = Field( - description='', + description="", default=None, ) HOSTED_OPENAI_API_ORGANIZATION: Optional[str] = Field( - description='', + description="", default=None, ) HOSTED_OPENAI_TRIAL_ENABLED: bool = Field( - description='', + description="", default=False, ) HOSTED_OPENAI_TRIAL_MODELS: str = Field( - description='', - default='gpt-3.5-turbo,' - 'gpt-3.5-turbo-1106,' - 'gpt-3.5-turbo-instruct,' - 'gpt-3.5-turbo-16k,' - 'gpt-3.5-turbo-16k-0613,' - 'gpt-3.5-turbo-0613,' - 'gpt-3.5-turbo-0125,' - 'text-davinci-003', + description="", + default="gpt-3.5-turbo," + "gpt-3.5-turbo-1106," + "gpt-3.5-turbo-instruct," + "gpt-3.5-turbo-16k," + "gpt-3.5-turbo-16k-0613," + "gpt-3.5-turbo-0613," + "gpt-3.5-turbo-0125," + "text-davinci-003", ) HOSTED_OPENAI_QUOTA_LIMIT: NonNegativeInt = Field( - description='', + description="", default=200, ) HOSTED_OPENAI_PAID_ENABLED: bool = Field( - description='', + description="", default=False, ) HOSTED_OPENAI_PAID_MODELS: str = Field( - description='', - default='gpt-4,' - 'gpt-4-turbo-preview,' - 'gpt-4-turbo-2024-04-09,' - 'gpt-4-1106-preview,' - 'gpt-4-0125-preview,' - 'gpt-3.5-turbo,' - 'gpt-3.5-turbo-16k,' - 'gpt-3.5-turbo-16k-0613,' - 'gpt-3.5-turbo-1106,' - 'gpt-3.5-turbo-0613,' - 'gpt-3.5-turbo-0125,' - 'gpt-3.5-turbo-instruct,' - 'text-davinci-003', + description="", + default="gpt-4," + "gpt-4-turbo-preview," + "gpt-4-turbo-2024-04-09," + "gpt-4-1106-preview," + "gpt-4-0125-preview," + "gpt-3.5-turbo," + "gpt-3.5-turbo-16k," + "gpt-3.5-turbo-16k-0613," + "gpt-3.5-turbo-1106," + "gpt-3.5-turbo-0613," + "gpt-3.5-turbo-0125," + "gpt-3.5-turbo-instruct," + "text-davinci-003", ) @@ -75,22 +75,22 @@ class HostedAzureOpenAiConfig(BaseSettings): """ HOSTED_AZURE_OPENAI_ENABLED: bool = Field( - description='', + description="", default=False, ) HOSTED_AZURE_OPENAI_API_KEY: Optional[str] = Field( - description='', + description="", default=None, ) HOSTED_AZURE_OPENAI_API_BASE: Optional[str] = Field( - description='', + description="", default=None, ) HOSTED_AZURE_OPENAI_QUOTA_LIMIT: NonNegativeInt = Field( - description='', + description="", default=200, ) @@ -101,27 +101,27 @@ class HostedAnthropicConfig(BaseSettings): """ HOSTED_ANTHROPIC_API_BASE: Optional[str] = Field( - description='', + description="", default=None, ) HOSTED_ANTHROPIC_API_KEY: Optional[str] = Field( - description='', + description="", default=None, ) HOSTED_ANTHROPIC_TRIAL_ENABLED: bool = Field( - description='', + description="", default=False, ) HOSTED_ANTHROPIC_QUOTA_LIMIT: NonNegativeInt = Field( - description='', + description="", default=600000, ) HOSTED_ANTHROPIC_PAID_ENABLED: bool = Field( - description='', + description="", default=False, ) @@ -132,7 +132,7 @@ class HostedMinmaxConfig(BaseSettings): """ HOSTED_MINIMAX_ENABLED: bool = Field( - description='', + description="", default=False, ) @@ -143,7 +143,7 @@ class HostedSparkConfig(BaseSettings): """ HOSTED_SPARK_ENABLED: bool = Field( - description='', + description="", default=False, ) @@ -154,7 +154,7 @@ class HostedZhipuAIConfig(BaseSettings): """ HOSTED_ZHIPUAI_ENABLED: bool = Field( - description='', + description="", default=False, ) @@ -165,13 +165,13 @@ class HostedModerationConfig(BaseSettings): """ HOSTED_MODERATION_ENABLED: bool = Field( - description='', + description="", default=False, ) HOSTED_MODERATION_PROVIDERS: str = Field( - description='', - default='', + description="", + default="", ) @@ -181,15 +181,15 @@ class HostedFetchAppTemplateConfig(BaseSettings): """ HOSTED_FETCH_APP_TEMPLATES_MODE: str = Field( - description='the mode for fetching app templates,' - ' default to remote,' - ' available values: remote, db, builtin', - default='remote', + description="the mode for fetching app templates," + " default to remote," + " available values: remote, db, builtin", + default="remote", ) HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN: str = Field( - description='the domain for fetching remote app templates', - default='https://tmpl.dify.ai', + description="the domain for fetching remote app templates", + default="https://tmpl.dify.ai", ) @@ -202,7 +202,6 @@ class HostedServiceConfig( HostedOpenAiConfig, HostedSparkConfig, HostedZhipuAIConfig, - # moderation HostedModerationConfig, ): diff --git a/api/configs/middleware/__init__.py b/api/configs/middleware/__init__.py index 07688e9aeb..05e9b8f7a6 100644 --- a/api/configs/middleware/__init__.py +++ b/api/configs/middleware/__init__.py @@ -28,108 +28,108 @@ from configs.middleware.vdb.weaviate_config import WeaviateConfig class StorageConfig(BaseSettings): STORAGE_TYPE: str = Field( - description='storage type,' - ' default to `local`,' - ' available values are `local`, `s3`, `azure-blob`, `aliyun-oss`, `google-storage`.', - default='local', + description="storage type," + " default to `local`," + " available values are `local`, `s3`, `azure-blob`, `aliyun-oss`, `google-storage`.", + default="local", ) STORAGE_LOCAL_PATH: str = Field( - description='local storage path', - default='storage', + description="local storage path", + default="storage", ) class VectorStoreConfig(BaseSettings): VECTOR_STORE: Optional[str] = Field( - description='vector store type', + description="vector store type", default=None, ) class KeywordStoreConfig(BaseSettings): KEYWORD_STORE: str = Field( - description='keyword store type', - default='jieba', + description="keyword store type", + default="jieba", ) class DatabaseConfig: DB_HOST: str = Field( - description='db host', - default='localhost', + description="db host", + default="localhost", ) DB_PORT: PositiveInt = Field( - description='db port', + description="db port", default=5432, ) DB_USERNAME: str = Field( - description='db username', - default='postgres', + description="db username", + default="postgres", ) DB_PASSWORD: str = Field( - description='db password', - default='', + description="db password", + default="", ) DB_DATABASE: str = Field( - description='db database', - default='dify', + description="db database", + default="dify", ) DB_CHARSET: str = Field( - description='db charset', - default='', + description="db charset", + default="", ) DB_EXTRAS: str = Field( - description='db extras options. Example: keepalives_idle=60&keepalives=1', - default='', + description="db extras options. Example: keepalives_idle=60&keepalives=1", + default="", ) SQLALCHEMY_DATABASE_URI_SCHEME: str = Field( - description='db uri scheme', - default='postgresql', + description="db uri scheme", + default="postgresql", ) @computed_field @property def SQLALCHEMY_DATABASE_URI(self) -> str: db_extras = ( - f"{self.DB_EXTRAS}&client_encoding={self.DB_CHARSET}" - if self.DB_CHARSET - else self.DB_EXTRAS + f"{self.DB_EXTRAS}&client_encoding={self.DB_CHARSET}" if self.DB_CHARSET else self.DB_EXTRAS ).strip("&") db_extras = f"?{db_extras}" if db_extras else "" - return (f"{self.SQLALCHEMY_DATABASE_URI_SCHEME}://" - f"{quote_plus(self.DB_USERNAME)}:{quote_plus(self.DB_PASSWORD)}@{self.DB_HOST}:{self.DB_PORT}/{self.DB_DATABASE}" - f"{db_extras}") + return ( + f"{self.SQLALCHEMY_DATABASE_URI_SCHEME}://" + f"{quote_plus(self.DB_USERNAME)}:{quote_plus(self.DB_PASSWORD)}@{self.DB_HOST}:{self.DB_PORT}/{self.DB_DATABASE}" + f"{db_extras}" + ) SQLALCHEMY_POOL_SIZE: NonNegativeInt = Field( - description='pool size of SqlAlchemy', + description="pool size of SqlAlchemy", default=30, ) SQLALCHEMY_MAX_OVERFLOW: NonNegativeInt = Field( - description='max overflows for SqlAlchemy', + description="max overflows for SqlAlchemy", default=10, ) SQLALCHEMY_POOL_RECYCLE: NonNegativeInt = Field( - description='SqlAlchemy pool recycle', + description="SqlAlchemy pool recycle", default=3600, ) SQLALCHEMY_POOL_PRE_PING: bool = Field( - description='whether to enable pool pre-ping in SqlAlchemy', + description="whether to enable pool pre-ping in SqlAlchemy", default=False, ) SQLALCHEMY_ECHO: bool | str = Field( - description='whether to enable SqlAlchemy echo', + description="whether to enable SqlAlchemy echo", default=False, ) @@ -137,35 +137,38 @@ class DatabaseConfig: @property def SQLALCHEMY_ENGINE_OPTIONS(self) -> dict[str, Any]: return { - 'pool_size': self.SQLALCHEMY_POOL_SIZE, - 'max_overflow': self.SQLALCHEMY_MAX_OVERFLOW, - 'pool_recycle': self.SQLALCHEMY_POOL_RECYCLE, - 'pool_pre_ping': self.SQLALCHEMY_POOL_PRE_PING, - 'connect_args': {'options': '-c timezone=UTC'}, + "pool_size": self.SQLALCHEMY_POOL_SIZE, + "max_overflow": self.SQLALCHEMY_MAX_OVERFLOW, + "pool_recycle": self.SQLALCHEMY_POOL_RECYCLE, + "pool_pre_ping": self.SQLALCHEMY_POOL_PRE_PING, + "connect_args": {"options": "-c timezone=UTC"}, } class CeleryConfig(DatabaseConfig): CELERY_BACKEND: str = Field( - description='Celery backend, available values are `database`, `redis`', - default='database', + description="Celery backend, available values are `database`, `redis`", + default="database", ) CELERY_BROKER_URL: Optional[str] = Field( - description='CELERY_BROKER_URL', + description="CELERY_BROKER_URL", default=None, ) @computed_field @property def CELERY_RESULT_BACKEND(self) -> str | None: - return 'db+{}'.format(self.SQLALCHEMY_DATABASE_URI) \ - if self.CELERY_BACKEND == 'database' else self.CELERY_BROKER_URL + return ( + "db+{}".format(self.SQLALCHEMY_DATABASE_URI) + if self.CELERY_BACKEND == "database" + else self.CELERY_BROKER_URL + ) @computed_field @property def BROKER_USE_SSL(self) -> bool: - return self.CELERY_BROKER_URL.startswith('rediss://') if self.CELERY_BROKER_URL else False + return self.CELERY_BROKER_URL.startswith("rediss://") if self.CELERY_BROKER_URL else False class MiddlewareConfig( @@ -174,7 +177,6 @@ class MiddlewareConfig( DatabaseConfig, KeywordStoreConfig, RedisConfig, - # configs of storage and storage providers StorageConfig, AliyunOSSStorageConfig, @@ -183,7 +185,6 @@ class MiddlewareConfig( TencentCloudCOSStorageConfig, S3StorageConfig, OCIStorageConfig, - # configs of vdb and vdb providers VectorStoreConfig, AnalyticdbConfig, diff --git a/api/configs/middleware/cache/redis_config.py b/api/configs/middleware/cache/redis_config.py index 436ba5d4c0..cacdaf6fb6 100644 --- a/api/configs/middleware/cache/redis_config.py +++ b/api/configs/middleware/cache/redis_config.py @@ -8,32 +8,33 @@ class RedisConfig(BaseSettings): """ Redis configs """ + REDIS_HOST: str = Field( - description='Redis host', - default='localhost', + description="Redis host", + default="localhost", ) REDIS_PORT: PositiveInt = Field( - description='Redis port', + description="Redis port", default=6379, ) REDIS_USERNAME: Optional[str] = Field( - description='Redis username', + description="Redis username", default=None, ) REDIS_PASSWORD: Optional[str] = Field( - description='Redis password', + description="Redis password", default=None, ) REDIS_DB: NonNegativeInt = Field( - description='Redis database id, default to 0', + description="Redis database id, default to 0", default=0, ) REDIS_USE_SSL: bool = Field( - description='whether to use SSL for Redis connection', + description="whether to use SSL for Redis connection", default=False, ) diff --git a/api/configs/middleware/storage/aliyun_oss_storage_config.py b/api/configs/middleware/storage/aliyun_oss_storage_config.py index 19e6cafb12..78f70b7ad3 100644 --- a/api/configs/middleware/storage/aliyun_oss_storage_config.py +++ b/api/configs/middleware/storage/aliyun_oss_storage_config.py @@ -10,31 +10,31 @@ class AliyunOSSStorageConfig(BaseSettings): """ ALIYUN_OSS_BUCKET_NAME: Optional[str] = Field( - description='Aliyun OSS bucket name', + description="Aliyun OSS bucket name", default=None, ) ALIYUN_OSS_ACCESS_KEY: Optional[str] = Field( - description='Aliyun OSS access key', + description="Aliyun OSS access key", default=None, ) ALIYUN_OSS_SECRET_KEY: Optional[str] = Field( - description='Aliyun OSS secret key', + description="Aliyun OSS secret key", default=None, ) ALIYUN_OSS_ENDPOINT: Optional[str] = Field( - description='Aliyun OSS endpoint URL', + description="Aliyun OSS endpoint URL", default=None, ) ALIYUN_OSS_REGION: Optional[str] = Field( - description='Aliyun OSS region', + description="Aliyun OSS region", default=None, ) ALIYUN_OSS_AUTH_VERSION: Optional[str] = Field( - description='Aliyun OSS authentication version', + description="Aliyun OSS authentication version", default=None, ) diff --git a/api/configs/middleware/storage/amazon_s3_storage_config.py b/api/configs/middleware/storage/amazon_s3_storage_config.py index 2566fbd5da..bef9326108 100644 --- a/api/configs/middleware/storage/amazon_s3_storage_config.py +++ b/api/configs/middleware/storage/amazon_s3_storage_config.py @@ -10,36 +10,36 @@ class S3StorageConfig(BaseSettings): """ S3_ENDPOINT: Optional[str] = Field( - description='S3 storage endpoint', + description="S3 storage endpoint", default=None, ) S3_REGION: Optional[str] = Field( - description='S3 storage region', + description="S3 storage region", default=None, ) S3_BUCKET_NAME: Optional[str] = Field( - description='S3 storage bucket name', + description="S3 storage bucket name", default=None, ) S3_ACCESS_KEY: Optional[str] = Field( - description='S3 storage access key', + description="S3 storage access key", default=None, ) S3_SECRET_KEY: Optional[str] = Field( - description='S3 storage secret key', + description="S3 storage secret key", default=None, ) S3_ADDRESS_STYLE: str = Field( - description='S3 storage address style', - default='auto', + description="S3 storage address style", + default="auto", ) S3_USE_AWS_MANAGED_IAM: bool = Field( - description='whether to use aws managed IAM for S3', + description="whether to use aws managed IAM for S3", default=False, ) diff --git a/api/configs/middleware/storage/azure_blob_storage_config.py b/api/configs/middleware/storage/azure_blob_storage_config.py index 26e441c89b..10944b58ed 100644 --- a/api/configs/middleware/storage/azure_blob_storage_config.py +++ b/api/configs/middleware/storage/azure_blob_storage_config.py @@ -10,21 +10,21 @@ class AzureBlobStorageConfig(BaseSettings): """ AZURE_BLOB_ACCOUNT_NAME: Optional[str] = Field( - description='Azure Blob account name', + description="Azure Blob account name", default=None, ) AZURE_BLOB_ACCOUNT_KEY: Optional[str] = Field( - description='Azure Blob account key', + description="Azure Blob account key", default=None, ) AZURE_BLOB_CONTAINER_NAME: Optional[str] = Field( - description='Azure Blob container name', + description="Azure Blob container name", default=None, ) AZURE_BLOB_ACCOUNT_URL: Optional[str] = Field( - description='Azure Blob account URL', + description="Azure Blob account URL", default=None, ) diff --git a/api/configs/middleware/storage/google_cloud_storage_config.py b/api/configs/middleware/storage/google_cloud_storage_config.py index e1b0e34e0c..10a2d97e8d 100644 --- a/api/configs/middleware/storage/google_cloud_storage_config.py +++ b/api/configs/middleware/storage/google_cloud_storage_config.py @@ -10,11 +10,11 @@ class GoogleCloudStorageConfig(BaseSettings): """ GOOGLE_STORAGE_BUCKET_NAME: Optional[str] = Field( - description='Google Cloud storage bucket name', + description="Google Cloud storage bucket name", default=None, ) GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: Optional[str] = Field( - description='Google Cloud storage service account json base64', + description="Google Cloud storage service account json base64", default=None, ) diff --git a/api/configs/middleware/storage/oci_storage_config.py b/api/configs/middleware/storage/oci_storage_config.py index 6c0c067469..f8993496c9 100644 --- a/api/configs/middleware/storage/oci_storage_config.py +++ b/api/configs/middleware/storage/oci_storage_config.py @@ -10,27 +10,26 @@ class OCIStorageConfig(BaseSettings): """ OCI_ENDPOINT: Optional[str] = Field( - description='OCI storage endpoint', + description="OCI storage endpoint", default=None, ) OCI_REGION: Optional[str] = Field( - description='OCI storage region', + description="OCI storage region", default=None, ) OCI_BUCKET_NAME: Optional[str] = Field( - description='OCI storage bucket name', + description="OCI storage bucket name", default=None, ) OCI_ACCESS_KEY: Optional[str] = Field( - description='OCI storage access key', + description="OCI storage access key", default=None, ) OCI_SECRET_KEY: Optional[str] = Field( - description='OCI storage secret key', + description="OCI storage secret key", default=None, ) - diff --git a/api/configs/middleware/storage/tencent_cos_storage_config.py b/api/configs/middleware/storage/tencent_cos_storage_config.py index 1060c7b93e..765ac08f3e 100644 --- a/api/configs/middleware/storage/tencent_cos_storage_config.py +++ b/api/configs/middleware/storage/tencent_cos_storage_config.py @@ -10,26 +10,26 @@ class TencentCloudCOSStorageConfig(BaseSettings): """ TENCENT_COS_BUCKET_NAME: Optional[str] = Field( - description='Tencent Cloud COS bucket name', + description="Tencent Cloud COS bucket name", default=None, ) TENCENT_COS_REGION: Optional[str] = Field( - description='Tencent Cloud COS region', + description="Tencent Cloud COS region", default=None, ) TENCENT_COS_SECRET_ID: Optional[str] = Field( - description='Tencent Cloud COS secret id', + description="Tencent Cloud COS secret id", default=None, ) TENCENT_COS_SECRET_KEY: Optional[str] = Field( - description='Tencent Cloud COS secret key', + description="Tencent Cloud COS secret key", default=None, ) TENCENT_COS_SCHEME: Optional[str] = Field( - description='Tencent Cloud COS scheme', + description="Tencent Cloud COS scheme", default=None, ) diff --git a/api/configs/middleware/vdb/analyticdb_config.py b/api/configs/middleware/vdb/analyticdb_config.py index db2899265e..04f5b0e5bf 100644 --- a/api/configs/middleware/vdb/analyticdb_config.py +++ b/api/configs/middleware/vdb/analyticdb_config.py @@ -10,35 +10,28 @@ class AnalyticdbConfig(BaseModel): https://www.alibabacloud.com/help/en/analyticdb-for-postgresql/getting-started/create-an-instance-instances-with-vector-engine-optimization-enabled """ - ANALYTICDB_KEY_ID : Optional[str] = Field( - default=None, - description="The Access Key ID provided by Alibaba Cloud for authentication." + ANALYTICDB_KEY_ID: Optional[str] = Field( + default=None, description="The Access Key ID provided by Alibaba Cloud for authentication." ) - ANALYTICDB_KEY_SECRET : Optional[str] = Field( - default=None, - description="The Secret Access Key corresponding to the Access Key ID for secure access." + ANALYTICDB_KEY_SECRET: Optional[str] = Field( + default=None, description="The Secret Access Key corresponding to the Access Key ID for secure access." ) - ANALYTICDB_REGION_ID : Optional[str] = Field( - default=None, - description="The region where the AnalyticDB instance is deployed (e.g., 'cn-hangzhou')." + ANALYTICDB_REGION_ID: Optional[str] = Field( + default=None, description="The region where the AnalyticDB instance is deployed (e.g., 'cn-hangzhou')." ) - ANALYTICDB_INSTANCE_ID : Optional[str] = Field( + ANALYTICDB_INSTANCE_ID: Optional[str] = Field( default=None, - description="The unique identifier of the AnalyticDB instance you want to connect to (e.g., 'gp-ab123456').." + description="The unique identifier of the AnalyticDB instance you want to connect to (e.g., 'gp-ab123456')..", ) - ANALYTICDB_ACCOUNT : Optional[str] = Field( - default=None, - description="The account name used to log in to the AnalyticDB instance." + ANALYTICDB_ACCOUNT: Optional[str] = Field( + default=None, description="The account name used to log in to the AnalyticDB instance." ) - ANALYTICDB_PASSWORD : Optional[str] = Field( - default=None, - description="The password associated with the AnalyticDB account for authentication." + ANALYTICDB_PASSWORD: Optional[str] = Field( + default=None, description="The password associated with the AnalyticDB account for authentication." ) - ANALYTICDB_NAMESPACE : Optional[str] = Field( - default=None, - description="The namespace within AnalyticDB for schema isolation." + ANALYTICDB_NAMESPACE: Optional[str] = Field( + default=None, description="The namespace within AnalyticDB for schema isolation." ) - ANALYTICDB_NAMESPACE_PASSWORD : Optional[str] = Field( - default=None, - description="The password for accessing the specified namespace within the AnalyticDB instance." + ANALYTICDB_NAMESPACE_PASSWORD: Optional[str] = Field( + default=None, description="The password for accessing the specified namespace within the AnalyticDB instance." ) diff --git a/api/configs/middleware/vdb/chroma_config.py b/api/configs/middleware/vdb/chroma_config.py index f365879efb..d386623a56 100644 --- a/api/configs/middleware/vdb/chroma_config.py +++ b/api/configs/middleware/vdb/chroma_config.py @@ -10,31 +10,31 @@ class ChromaConfig(BaseSettings): """ CHROMA_HOST: Optional[str] = Field( - description='Chroma host', + description="Chroma host", default=None, ) CHROMA_PORT: PositiveInt = Field( - description='Chroma port', + description="Chroma port", default=8000, ) CHROMA_TENANT: Optional[str] = Field( - description='Chroma database', + description="Chroma database", default=None, ) CHROMA_DATABASE: Optional[str] = Field( - description='Chroma database', + description="Chroma database", default=None, ) CHROMA_AUTH_PROVIDER: Optional[str] = Field( - description='Chroma authentication provider', + description="Chroma authentication provider", default=None, ) CHROMA_AUTH_CREDENTIALS: Optional[str] = Field( - description='Chroma authentication credentials', + description="Chroma authentication credentials", default=None, ) diff --git a/api/configs/middleware/vdb/milvus_config.py b/api/configs/middleware/vdb/milvus_config.py index 01502d4590..85466cd5cc 100644 --- a/api/configs/middleware/vdb/milvus_config.py +++ b/api/configs/middleware/vdb/milvus_config.py @@ -10,31 +10,31 @@ class MilvusConfig(BaseSettings): """ MILVUS_HOST: Optional[str] = Field( - description='Milvus host', + description="Milvus host", default=None, ) MILVUS_PORT: PositiveInt = Field( - description='Milvus RestFul API port', + description="Milvus RestFul API port", default=9091, ) MILVUS_USER: Optional[str] = Field( - description='Milvus user', + description="Milvus user", default=None, ) MILVUS_PASSWORD: Optional[str] = Field( - description='Milvus password', + description="Milvus password", default=None, ) MILVUS_SECURE: bool = Field( - description='whether to use SSL connection for Milvus', + description="whether to use SSL connection for Milvus", default=False, ) MILVUS_DATABASE: str = Field( - description='Milvus database, default to `default`', - default='default', + description="Milvus database, default to `default`", + default="default", ) diff --git a/api/configs/middleware/vdb/myscale_config.py b/api/configs/middleware/vdb/myscale_config.py index 895cd6f176..6451d26e1c 100644 --- a/api/configs/middleware/vdb/myscale_config.py +++ b/api/configs/middleware/vdb/myscale_config.py @@ -1,4 +1,3 @@ - from pydantic import BaseModel, Field, PositiveInt @@ -8,31 +7,31 @@ class MyScaleConfig(BaseModel): """ MYSCALE_HOST: str = Field( - description='MyScale host', - default='localhost', + description="MyScale host", + default="localhost", ) MYSCALE_PORT: PositiveInt = Field( - description='MyScale port', + description="MyScale port", default=8123, ) MYSCALE_USER: str = Field( - description='MyScale user', - default='default', + description="MyScale user", + default="default", ) MYSCALE_PASSWORD: str = Field( - description='MyScale password', - default='', + description="MyScale password", + default="", ) MYSCALE_DATABASE: str = Field( - description='MyScale database name', - default='default', + description="MyScale database name", + default="default", ) MYSCALE_FTS_PARAMS: str = Field( - description='MyScale fts index parameters', - default='', + description="MyScale fts index parameters", + default="", ) diff --git a/api/configs/middleware/vdb/opensearch_config.py b/api/configs/middleware/vdb/opensearch_config.py index 15d6f5b6a9..5823dc1433 100644 --- a/api/configs/middleware/vdb/opensearch_config.py +++ b/api/configs/middleware/vdb/opensearch_config.py @@ -10,26 +10,26 @@ class OpenSearchConfig(BaseSettings): """ OPENSEARCH_HOST: Optional[str] = Field( - description='OpenSearch host', + description="OpenSearch host", default=None, ) OPENSEARCH_PORT: PositiveInt = Field( - description='OpenSearch port', + description="OpenSearch port", default=9200, ) OPENSEARCH_USER: Optional[str] = Field( - description='OpenSearch user', + description="OpenSearch user", default=None, ) OPENSEARCH_PASSWORD: Optional[str] = Field( - description='OpenSearch password', + description="OpenSearch password", default=None, ) OPENSEARCH_SECURE: bool = Field( - description='whether to use SSL connection for OpenSearch', + description="whether to use SSL connection for OpenSearch", default=False, ) diff --git a/api/configs/middleware/vdb/oracle_config.py b/api/configs/middleware/vdb/oracle_config.py index 888fc19492..62614ae870 100644 --- a/api/configs/middleware/vdb/oracle_config.py +++ b/api/configs/middleware/vdb/oracle_config.py @@ -10,26 +10,26 @@ class OracleConfig(BaseSettings): """ ORACLE_HOST: Optional[str] = Field( - description='ORACLE host', + description="ORACLE host", default=None, ) ORACLE_PORT: Optional[PositiveInt] = Field( - description='ORACLE port', + description="ORACLE port", default=1521, ) ORACLE_USER: Optional[str] = Field( - description='ORACLE user', + description="ORACLE user", default=None, ) ORACLE_PASSWORD: Optional[str] = Field( - description='ORACLE password', + description="ORACLE password", default=None, ) ORACLE_DATABASE: Optional[str] = Field( - description='ORACLE database', + description="ORACLE database", default=None, ) diff --git a/api/configs/middleware/vdb/pgvector_config.py b/api/configs/middleware/vdb/pgvector_config.py index 8a677f60a3..39a7c1d8d5 100644 --- a/api/configs/middleware/vdb/pgvector_config.py +++ b/api/configs/middleware/vdb/pgvector_config.py @@ -10,26 +10,26 @@ class PGVectorConfig(BaseSettings): """ PGVECTOR_HOST: Optional[str] = Field( - description='PGVector host', + description="PGVector host", default=None, ) PGVECTOR_PORT: Optional[PositiveInt] = Field( - description='PGVector port', + description="PGVector port", default=5433, ) PGVECTOR_USER: Optional[str] = Field( - description='PGVector user', + description="PGVector user", default=None, ) PGVECTOR_PASSWORD: Optional[str] = Field( - description='PGVector password', + description="PGVector password", default=None, ) PGVECTOR_DATABASE: Optional[str] = Field( - description='PGVector database', + description="PGVector database", default=None, ) diff --git a/api/configs/middleware/vdb/pgvectors_config.py b/api/configs/middleware/vdb/pgvectors_config.py index 39f52f22ff..c40e5ff921 100644 --- a/api/configs/middleware/vdb/pgvectors_config.py +++ b/api/configs/middleware/vdb/pgvectors_config.py @@ -10,26 +10,26 @@ class PGVectoRSConfig(BaseSettings): """ PGVECTO_RS_HOST: Optional[str] = Field( - description='PGVectoRS host', + description="PGVectoRS host", default=None, ) PGVECTO_RS_PORT: Optional[PositiveInt] = Field( - description='PGVectoRS port', + description="PGVectoRS port", default=5431, ) PGVECTO_RS_USER: Optional[str] = Field( - description='PGVectoRS user', + description="PGVectoRS user", default=None, ) PGVECTO_RS_PASSWORD: Optional[str] = Field( - description='PGVectoRS password', + description="PGVectoRS password", default=None, ) PGVECTO_RS_DATABASE: Optional[str] = Field( - description='PGVectoRS database', + description="PGVectoRS database", default=None, ) diff --git a/api/configs/middleware/vdb/qdrant_config.py b/api/configs/middleware/vdb/qdrant_config.py index c85bf9c7dc..27f75491c9 100644 --- a/api/configs/middleware/vdb/qdrant_config.py +++ b/api/configs/middleware/vdb/qdrant_config.py @@ -10,26 +10,26 @@ class QdrantConfig(BaseSettings): """ QDRANT_URL: Optional[str] = Field( - description='Qdrant url', + description="Qdrant url", default=None, ) QDRANT_API_KEY: Optional[str] = Field( - description='Qdrant api key', + description="Qdrant api key", default=None, ) QDRANT_CLIENT_TIMEOUT: NonNegativeInt = Field( - description='Qdrant client timeout in seconds', + description="Qdrant client timeout in seconds", default=20, ) QDRANT_GRPC_ENABLED: bool = Field( - description='whether enable grpc support for Qdrant connection', + description="whether enable grpc support for Qdrant connection", default=False, ) QDRANT_GRPC_PORT: PositiveInt = Field( - description='Qdrant grpc port', + description="Qdrant grpc port", default=6334, ) diff --git a/api/configs/middleware/vdb/relyt_config.py b/api/configs/middleware/vdb/relyt_config.py index be93185f3c..66b9ecc03f 100644 --- a/api/configs/middleware/vdb/relyt_config.py +++ b/api/configs/middleware/vdb/relyt_config.py @@ -10,26 +10,26 @@ class RelytConfig(BaseSettings): """ RELYT_HOST: Optional[str] = Field( - description='Relyt host', + description="Relyt host", default=None, ) RELYT_PORT: PositiveInt = Field( - description='Relyt port', + description="Relyt port", default=9200, ) RELYT_USER: Optional[str] = Field( - description='Relyt user', + description="Relyt user", default=None, ) RELYT_PASSWORD: Optional[str] = Field( - description='Relyt password', + description="Relyt password", default=None, ) RELYT_DATABASE: Optional[str] = Field( - description='Relyt database', - default='default', + description="Relyt database", + default="default", ) diff --git a/api/configs/middleware/vdb/tencent_vector_config.py b/api/configs/middleware/vdb/tencent_vector_config.py index 531ec84068..46b4cb6a24 100644 --- a/api/configs/middleware/vdb/tencent_vector_config.py +++ b/api/configs/middleware/vdb/tencent_vector_config.py @@ -10,41 +10,41 @@ class TencentVectorDBConfig(BaseSettings): """ TENCENT_VECTOR_DB_URL: Optional[str] = Field( - description='Tencent Vector URL', + description="Tencent Vector URL", default=None, ) TENCENT_VECTOR_DB_API_KEY: Optional[str] = Field( - description='Tencent Vector API key', + description="Tencent Vector API key", default=None, ) TENCENT_VECTOR_DB_TIMEOUT: PositiveInt = Field( - description='Tencent Vector timeout in seconds', + description="Tencent Vector timeout in seconds", default=30, ) TENCENT_VECTOR_DB_USERNAME: Optional[str] = Field( - description='Tencent Vector username', + description="Tencent Vector username", default=None, ) TENCENT_VECTOR_DB_PASSWORD: Optional[str] = Field( - description='Tencent Vector password', + description="Tencent Vector password", default=None, ) TENCENT_VECTOR_DB_SHARD: PositiveInt = Field( - description='Tencent Vector sharding number', + description="Tencent Vector sharding number", default=1, ) TENCENT_VECTOR_DB_REPLICAS: NonNegativeInt = Field( - description='Tencent Vector replicas', + description="Tencent Vector replicas", default=2, ) TENCENT_VECTOR_DB_DATABASE: Optional[str] = Field( - description='Tencent Vector Database', + description="Tencent Vector Database", default=None, ) diff --git a/api/configs/middleware/vdb/tidb_vector_config.py b/api/configs/middleware/vdb/tidb_vector_config.py index 8d459691a8..dbcb276c01 100644 --- a/api/configs/middleware/vdb/tidb_vector_config.py +++ b/api/configs/middleware/vdb/tidb_vector_config.py @@ -10,26 +10,26 @@ class TiDBVectorConfig(BaseSettings): """ TIDB_VECTOR_HOST: Optional[str] = Field( - description='TiDB Vector host', + description="TiDB Vector host", default=None, ) TIDB_VECTOR_PORT: Optional[PositiveInt] = Field( - description='TiDB Vector port', + description="TiDB Vector port", default=4000, ) TIDB_VECTOR_USER: Optional[str] = Field( - description='TiDB Vector user', + description="TiDB Vector user", default=None, ) TIDB_VECTOR_PASSWORD: Optional[str] = Field( - description='TiDB Vector password', + description="TiDB Vector password", default=None, ) TIDB_VECTOR_DATABASE: Optional[str] = Field( - description='TiDB Vector database', + description="TiDB Vector database", default=None, ) diff --git a/api/configs/middleware/vdb/weaviate_config.py b/api/configs/middleware/vdb/weaviate_config.py index b985ecea12..63d1022f6a 100644 --- a/api/configs/middleware/vdb/weaviate_config.py +++ b/api/configs/middleware/vdb/weaviate_config.py @@ -10,21 +10,21 @@ class WeaviateConfig(BaseSettings): """ WEAVIATE_ENDPOINT: Optional[str] = Field( - description='Weaviate endpoint URL', + description="Weaviate endpoint URL", default=None, ) WEAVIATE_API_KEY: Optional[str] = Field( - description='Weaviate API key', + description="Weaviate API key", default=None, ) WEAVIATE_GRPC_ENABLED: bool = Field( - description='whether to enable gRPC for Weaviate connection', + description="whether to enable gRPC for Weaviate connection", default=True, ) WEAVIATE_BATCH_SIZE: PositiveInt = Field( - description='Weaviate batch size', + description="Weaviate batch size", default=100, ) diff --git a/api/configs/packaging/__init__.py b/api/configs/packaging/__init__.py index a7c5eb15a3..a6ab550de1 100644 --- a/api/configs/packaging/__init__.py +++ b/api/configs/packaging/__init__.py @@ -8,11 +8,11 @@ class PackagingInfo(BaseSettings): """ CURRENT_VERSION: str = Field( - description='Dify version', - default='0.7.1', + description="Dify version", + default="0.7.1", ) COMMIT_SHA: str = Field( description="SHA-1 checksum of the git commit used to build the app", - default='', + default="", ) diff --git a/api/pyproject.toml b/api/pyproject.toml index 47b638573b..6175fdbda7 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -77,7 +77,6 @@ exclude = [ "services/**/*.py", "tasks/**/*.py", "tests/**/*.py", - "configs/**/*.py", ] [tool.pytest_env] From b035c02f78924020e2329de36b473189851bb409 Mon Sep 17 00:00:00 2001 From: Bowen Liang Date: Fri, 23 Aug 2024 23:52:25 +0800 Subject: [PATCH 059/164] chore(api/tests): apply ruff reformat #7590 (#7591) Co-authored-by: -LAN- --- api/pyproject.toml | 1 - .../model_runtime/__mock/anthropic.py | 66 +-- .../model_runtime/__mock/google.py | 58 +- .../model_runtime/__mock/huggingface.py | 7 +- .../model_runtime/__mock/huggingface_chat.py | 27 +- .../model_runtime/__mock/huggingface_tei.py | 42 +- .../model_runtime/__mock/openai.py | 21 +- .../model_runtime/__mock/openai_chat.py | 178 +++--- .../model_runtime/__mock/openai_completion.py | 77 +-- .../model_runtime/__mock/openai_embeddings.py | 50 +- .../model_runtime/__mock/openai_moderation.py | 102 ++-- .../model_runtime/__mock/openai_remote.py | 11 +- .../__mock/openai_speech2text.py | 19 +- .../model_runtime/__mock/xinference.py | 135 +++-- .../model_runtime/anthropic/test_llm.py | 75 +-- .../model_runtime/anthropic/test_provider.py | 12 +- .../model_runtime/azure_openai/test_llm.py | 265 ++++----- .../azure_openai/test_text_embedding.py | 49 +- .../model_runtime/baichuan/test_llm.py | 132 ++--- .../model_runtime/baichuan/test_provider.py | 12 +- .../baichuan/test_text_embedding.py | 42 +- .../model_runtime/bedrock/test_llm.py | 66 +-- .../model_runtime/bedrock/test_provider.py | 6 +- .../model_runtime/chatglm/test_llm.py | 213 +++---- .../model_runtime/chatglm/test_provider.py | 14 +- .../model_runtime/cohere/test_llm.py | 179 ++---- .../model_runtime/cohere/test_provider.py | 10 +- .../model_runtime/cohere/test_rerank.py | 24 +- .../cohere/test_text_embedding.py | 38 +- .../model_runtime/google/test_llm.py | 191 +++---- .../model_runtime/google/test_provider.py | 12 +- .../model_runtime/huggingface_hub/test_llm.py | 260 ++++----- .../huggingface_hub/test_text_embedding.py | 89 ++- .../huggingface_tei/test_embeddings.py | 38 +- .../huggingface_tei/test_rerank.py | 38 +- .../model_runtime/hunyuan/test_llm.py | 69 +-- .../model_runtime/hunyuan/test_provider.py | 11 +- .../hunyuan/test_text_embedding.py | 50 +- .../model_runtime/jina/test_provider.py | 12 +- .../model_runtime/jina/test_text_embedding.py | 32 +- .../model_runtime/localai/test_embedding.py | 6 +- .../model_runtime/localai/test_llm.py | 154 ++---- .../model_runtime/localai/test_rerank.py | 56 +- .../model_runtime/localai/test_speech2text.py | 30 +- .../model_runtime/minimax/test_embedding.py | 41 +- .../model_runtime/minimax/test_llm.py | 107 ++-- .../model_runtime/minimax/test_provider.py | 8 +- .../model_runtime/novita/test_llm.py | 70 +-- .../model_runtime/novita/test_provider.py | 6 +- .../model_runtime/ollama/test_llm.py | 190 +++---- .../ollama/test_text_embedding.py | 48 +- .../model_runtime/openai/test_llm.py | 294 ++++------ .../model_runtime/openai/test_moderation.py | 33 +- .../model_runtime/openai/test_provider.py | 12 +- .../model_runtime/openai/test_speech2text.py | 35 +- .../openai/test_text_embedding.py | 45 +- .../openai_api_compatible/test_llm.py | 149 ++--- .../openai_api_compatible/test_speech2text.py | 17 +- .../test_text_embedding.py | 52 +- .../model_runtime/openllm/test_embedding.py | 33 +- .../model_runtime/openllm/test_llm.py | 69 +-- .../model_runtime/openrouter/test_llm.py | 71 +-- .../model_runtime/replicate/test_llm.py | 74 ++- .../replicate/test_text_embedding.py | 95 ++-- .../model_runtime/sagemaker/test_provider.py | 8 +- .../model_runtime/sagemaker/test_rerank.py | 12 +- .../sagemaker/test_text_embedding.py | 32 +- .../model_runtime/siliconflow/test_llm.py | 69 +-- .../siliconflow/test_provider.py | 10 +- .../model_runtime/siliconflow/test_rerank.py | 12 +- .../siliconflow/test_speech2text.py | 16 +- .../siliconflow/test_text_embedding.py | 4 +- .../model_runtime/spark/test_llm.py | 77 +-- .../model_runtime/spark/test_provider.py | 10 +- .../model_runtime/stepfun/test_llm.py | 121 ++-- .../test_model_provider_factory.py | 29 +- .../model_runtime/togetherai/test_llm.py | 74 +-- .../model_runtime/tongyi/test_llm.py | 67 +-- .../model_runtime/tongyi/test_provider.py | 8 +- .../tongyi/test_response_format.py | 18 +- .../model_runtime/upstage/test_llm.py | 177 ++---- .../model_runtime/upstage/test_provider.py | 12 +- .../upstage/test_text_embedding.py | 37 +- .../volcengine_maas/test_embedding.py | 70 ++- .../model_runtime/volcengine_maas/test_llm.py | 113 ++-- .../model_runtime/wenxin/test_embedding.py | 44 +- .../model_runtime/wenxin/test_llm.py | 195 +++---- .../model_runtime/wenxin/test_provider.py | 12 +- .../xinference/test_embeddings.py | 46 +- .../model_runtime/xinference/test_llm.py | 201 +++---- .../model_runtime/xinference/test_rerank.py | 32 +- .../model_runtime/zhinao/test_llm.py | 69 +-- .../model_runtime/zhinao/test_provider.py | 10 +- .../model_runtime/zhipuai/test_llm.py | 106 +--- .../model_runtime/zhipuai/test_provider.py | 10 +- .../zhipuai/test_text_embedding.py | 36 +- .../integration_tests/tools/__mock/http.py | 15 +- .../tools/__mock_server/openapi_todo.py | 6 +- .../tools/api_tool/test_api_tool.py | 51 +- .../tools/test_all_provider.py | 9 +- .../integration_tests/utils/parent_class.py | 2 +- .../utils/test_module_import_helper.py | 24 +- .../vdb/__mock/tcvectordb.py | 143 +++-- .../vdb/analyticdb/test_analyticdb.py | 5 +- .../vdb/chroma/test_chroma.py | 4 +- .../vdb/elasticsearch/test_elasticsearch.py | 11 +- .../vdb/milvus/test_milvus.py | 10 +- .../vdb/myscale/test_myscale.py | 2 +- .../vdb/opensearch/test_opensearch.py | 109 ++-- .../vdb/pgvecto_rs/test_pgvecto_rs.py | 13 +- .../vdb/qdrant/test_qdrant.py | 8 +- .../vdb/tcvectordb/test_tencent.py | 28 +- .../vdb/test_vector_store.py | 14 +- .../vdb/tidb_vector/test_tidb_vector.py | 14 +- .../vdb/weaviate/test_weaviate.py | 8 +- .../workflow/nodes/__mock/code_executor.py | 15 +- .../workflow/nodes/__mock/http.py | 30 +- .../nodes/code_executor/test_code_executor.py | 6 +- .../code_executor/test_code_javascript.py | 15 +- .../nodes/code_executor/test_code_jinja2.py | 25 +- .../nodes/code_executor/test_code_python3.py | 11 +- .../workflow/nodes/test_code.py | 278 +++++----- .../workflow/nodes/test_http.py | 519 +++++++++--------- .../workflow/nodes/test_llm.py | 236 ++++---- .../nodes/test_parameter_extractor.py | 499 ++++++++--------- .../workflow/nodes/test_template_transform.py | 45 +- .../workflow/nodes/test_tool.py | 101 ++-- .../unit_tests/configs/test_dify_config.py | 57 +- .../core/app/segments/test_factory.py | 98 ++-- .../core/app/segments/test_segment.py | 26 +- .../core/app/segments/test_variables.py | 50 +- .../unit_tests/core/helper/test_ssrf_proxy.py | 14 +- .../wenxin/test_text_embedding.py | 20 +- .../prompt/test_advanced_prompt_transform.py | 114 ++-- .../test_agent_history_prompt_transform.py | 38 +- .../core/prompt/test_prompt_transform.py | 26 +- .../prompt/test_simple_prompt_transform.py | 133 +++-- .../rag/datasource/vdb/milvus/test_milvus.py | 11 +- .../rag/extractor/firecrawl/test_firecrawl.py | 12 +- .../rag/extractor/test_notion_extractor.py | 57 +- .../unit_tests/core/test_model_manager.py | 35 +- .../unit_tests/core/test_provider_manager.py | 200 +++---- .../tools/test_tool_parameter_converter.py | 48 +- .../core/workflow/nodes/test_answer.py | 37 +- .../core/workflow/nodes/test_if_else.py | 232 +++----- .../workflow/nodes/test_variable_assigner.py | 98 ++-- api/tests/unit_tests/libs/test_pandas.py | 40 +- api/tests/unit_tests/libs/test_rsa.py | 2 +- api/tests/unit_tests/libs/test_yarl.py | 26 +- api/tests/unit_tests/models/test_account.py | 10 +- .../models/test_conversation_variable.py | 14 +- api/tests/unit_tests/models/test_workflow.py | 94 ++-- .../workflow/test_workflow_converter.py | 187 +++---- .../position_helper/test_position_helper.py | 66 +-- .../unit_tests/utils/yaml/test_yaml_utils.py | 38 +- 155 files changed, 4279 insertions(+), 5925 deletions(-) diff --git a/api/pyproject.toml b/api/pyproject.toml index 6175fdbda7..e05a51dc13 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -76,7 +76,6 @@ exclude = [ "migrations/**/*", "services/**/*.py", "tasks/**/*.py", - "tests/**/*.py", ] [tool.pytest_env] diff --git a/api/tests/integration_tests/model_runtime/__mock/anthropic.py b/api/tests/integration_tests/model_runtime/__mock/anthropic.py index 3326f874b0..79a3dc0394 100644 --- a/api/tests/integration_tests/model_runtime/__mock/anthropic.py +++ b/api/tests/integration_tests/model_runtime/__mock/anthropic.py @@ -22,23 +22,20 @@ from anthropic.types import ( ) from anthropic.types.message_delta_event import Delta -MOCK = os.getenv('MOCK_SWITCH', 'false') == 'true' +MOCK = os.getenv("MOCK_SWITCH", "false") == "true" class MockAnthropicClass: @staticmethod def mocked_anthropic_chat_create_sync(model: str) -> Message: return Message( - id='msg-123', - type='message', - role='assistant', - content=[ContentBlock(text='hello, I\'m a chatbot from anthropic', type='text')], + id="msg-123", + type="message", + role="assistant", + content=[ContentBlock(text="hello, I'm a chatbot from anthropic", type="text")], model=model, - stop_reason='stop_sequence', - usage=Usage( - input_tokens=1, - output_tokens=1 - ) + stop_reason="stop_sequence", + usage=Usage(input_tokens=1, output_tokens=1), ) @staticmethod @@ -46,52 +43,43 @@ class MockAnthropicClass: full_response_text = "hello, I'm a chatbot from anthropic" yield MessageStartEvent( - type='message_start', + type="message_start", message=Message( - id='msg-123', + id="msg-123", content=[], - role='assistant', + role="assistant", model=model, stop_reason=None, - type='message', - usage=Usage( - input_tokens=1, - output_tokens=1 - ) - ) + type="message", + usage=Usage(input_tokens=1, output_tokens=1), + ), ) index = 0 for i in range(0, len(full_response_text)): yield ContentBlockDeltaEvent( - type='content_block_delta', - delta=TextDelta(text=full_response_text[i], type='text_delta'), - index=index + type="content_block_delta", delta=TextDelta(text=full_response_text[i], type="text_delta"), index=index ) index += 1 yield MessageDeltaEvent( - type='message_delta', - delta=Delta( - stop_reason='stop_sequence' - ), - usage=MessageDeltaUsage( - output_tokens=1 - ) + type="message_delta", delta=Delta(stop_reason="stop_sequence"), usage=MessageDeltaUsage(output_tokens=1) ) - yield MessageStopEvent(type='message_stop') + yield MessageStopEvent(type="message_stop") - def mocked_anthropic(self: Messages, *, - max_tokens: int, - messages: Iterable[MessageParam], - model: str, - stream: Literal[True], - **kwargs: Any - ) -> Union[Message, Stream[MessageStreamEvent]]: + def mocked_anthropic( + self: Messages, + *, + max_tokens: int, + messages: Iterable[MessageParam], + model: str, + stream: Literal[True], + **kwargs: Any, + ) -> Union[Message, Stream[MessageStreamEvent]]: if len(self._client.api_key) < 18: - raise anthropic.AuthenticationError('Invalid API key') + raise anthropic.AuthenticationError("Invalid API key") if stream: return MockAnthropicClass.mocked_anthropic_chat_create_stream(model=model) @@ -102,7 +90,7 @@ class MockAnthropicClass: @pytest.fixture def setup_anthropic_mock(request, monkeypatch: MonkeyPatch): if MOCK: - monkeypatch.setattr(Messages, 'create', MockAnthropicClass.mocked_anthropic) + monkeypatch.setattr(Messages, "create", MockAnthropicClass.mocked_anthropic) yield diff --git a/api/tests/integration_tests/model_runtime/__mock/google.py b/api/tests/integration_tests/model_runtime/__mock/google.py index d838e9890f..bc0684086f 100644 --- a/api/tests/integration_tests/model_runtime/__mock/google.py +++ b/api/tests/integration_tests/model_runtime/__mock/google.py @@ -12,63 +12,46 @@ from google.generativeai.client import _ClientManager, configure from google.generativeai.types import GenerateContentResponse from google.generativeai.types.generation_types import BaseGenerateContentResponse -current_api_key = '' +current_api_key = "" + class MockGoogleResponseClass: _done = False def __iter__(self): - full_response_text = 'it\'s google!' + full_response_text = "it's google!" for i in range(0, len(full_response_text) + 1, 1): if i == len(full_response_text): self._done = True yield GenerateContentResponse( - done=True, - iterator=None, - result=glm.GenerateContentResponse({ - - }), - chunks=[] + done=True, iterator=None, result=glm.GenerateContentResponse({}), chunks=[] ) else: yield GenerateContentResponse( - done=False, - iterator=None, - result=glm.GenerateContentResponse({ - - }), - chunks=[] + done=False, iterator=None, result=glm.GenerateContentResponse({}), chunks=[] ) + class MockGoogleResponseCandidateClass: - finish_reason = 'stop' + finish_reason = "stop" @property def content(self) -> gag_content.Content: - return gag_content.Content( - parts=[ - gag_content.Part(text='it\'s google!') - ] - ) + return gag_content.Content(parts=[gag_content.Part(text="it's google!")]) + class MockGoogleClass: @staticmethod def generate_content_sync() -> GenerateContentResponse: - return GenerateContentResponse( - done=True, - iterator=None, - result=glm.GenerateContentResponse({ - - }), - chunks=[] - ) + return GenerateContentResponse(done=True, iterator=None, result=glm.GenerateContentResponse({}), chunks=[]) @staticmethod def generate_content_stream() -> Generator[GenerateContentResponse, None, None]: return MockGoogleResponseClass() - def generate_content(self: GenerativeModel, + def generate_content( + self: GenerativeModel, contents: content_types.ContentsType, *, generation_config: generation_config_types.GenerationConfigType | None = None, @@ -79,21 +62,21 @@ class MockGoogleClass: global current_api_key if len(current_api_key) < 16: - raise Exception('Invalid API key') + raise Exception("Invalid API key") if stream: return MockGoogleClass.generate_content_stream() - + return MockGoogleClass.generate_content_sync() - + @property def generative_response_text(self) -> str: - return 'it\'s google!' - + return "it's google!" + @property def generative_response_candidates(self) -> list[MockGoogleResponseCandidateClass]: return [MockGoogleResponseCandidateClass()] - + def make_client(self: _ClientManager, name: str): global current_api_key @@ -121,7 +104,8 @@ class MockGoogleClass: if not self.default_metadata: return client - + + @pytest.fixture def setup_google_mock(request, monkeypatch: MonkeyPatch): monkeypatch.setattr(BaseGenerateContentResponse, "text", MockGoogleClass.generative_response_text) @@ -131,4 +115,4 @@ def setup_google_mock(request, monkeypatch: MonkeyPatch): yield - monkeypatch.undo() \ No newline at end of file + monkeypatch.undo() diff --git a/api/tests/integration_tests/model_runtime/__mock/huggingface.py b/api/tests/integration_tests/model_runtime/__mock/huggingface.py index a75b058d92..97038ef596 100644 --- a/api/tests/integration_tests/model_runtime/__mock/huggingface.py +++ b/api/tests/integration_tests/model_runtime/__mock/huggingface.py @@ -6,14 +6,15 @@ from huggingface_hub import InferenceClient from tests.integration_tests.model_runtime.__mock.huggingface_chat import MockHuggingfaceChatClass -MOCK = os.getenv('MOCK_SWITCH', 'false').lower() == 'true' +MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" + @pytest.fixture def setup_huggingface_mock(request, monkeypatch: MonkeyPatch): if MOCK: monkeypatch.setattr(InferenceClient, "text_generation", MockHuggingfaceChatClass.text_generation) - + yield if MOCK: - monkeypatch.undo() \ No newline at end of file + monkeypatch.undo() diff --git a/api/tests/integration_tests/model_runtime/__mock/huggingface_chat.py b/api/tests/integration_tests/model_runtime/__mock/huggingface_chat.py index 1607624c3c..9ee76c935c 100644 --- a/api/tests/integration_tests/model_runtime/__mock/huggingface_chat.py +++ b/api/tests/integration_tests/model_runtime/__mock/huggingface_chat.py @@ -22,10 +22,8 @@ class MockHuggingfaceChatClass: details=Details( finish_reason="length", generated_tokens=6, - tokens=[ - Token(id=0, text="You", logprob=0.0, special=False) for i in range(0, 6) - ] - ) + tokens=[Token(id=0, text="You", logprob=0.0, special=False) for i in range(0, 6)], + ), ) return response @@ -36,26 +34,23 @@ class MockHuggingfaceChatClass: for i in range(0, len(full_text)): response = TextGenerationStreamResponse( - token = Token(id=i, text=full_text[i], logprob=0.0, special=False), + token=Token(id=i, text=full_text[i], logprob=0.0, special=False), ) response.generated_text = full_text[i] - response.details = StreamDetails(finish_reason='stop_sequence', generated_tokens=1) + response.details = StreamDetails(finish_reason="stop_sequence", generated_tokens=1) yield response - def text_generation(self: InferenceClient, prompt: str, *, - stream: Literal[False] = ..., - model: Optional[str] = None, - **kwargs: Any + def text_generation( + self: InferenceClient, prompt: str, *, stream: Literal[False] = ..., model: Optional[str] = None, **kwargs: Any ) -> Union[TextGenerationResponse, Generator[TextGenerationStreamResponse, None, None]]: # check if key is valid - if not re.match(r'Bearer\shf\-[a-zA-Z0-9]{16,}', self.headers['authorization']): - raise BadRequestError('Invalid API key') - + if not re.match(r"Bearer\shf\-[a-zA-Z0-9]{16,}", self.headers["authorization"]): + raise BadRequestError("Invalid API key") + if model is None: - raise BadRequestError('Invalid model') - + raise BadRequestError("Invalid model") + if stream: return MockHuggingfaceChatClass.generate_create_stream(model) return MockHuggingfaceChatClass.generate_create_sync(model) - diff --git a/api/tests/integration_tests/model_runtime/__mock/huggingface_tei.py b/api/tests/integration_tests/model_runtime/__mock/huggingface_tei.py index c2fe95974b..b37b109eba 100644 --- a/api/tests/integration_tests/model_runtime/__mock/huggingface_tei.py +++ b/api/tests/integration_tests/model_runtime/__mock/huggingface_tei.py @@ -5,10 +5,10 @@ class MockTEIClass: @staticmethod def get_tei_extra_parameter(server_url: str, model_name: str) -> TeiModelExtraParameter: # During mock, we don't have a real server to query, so we just return a dummy value - if 'rerank' in model_name: - model_type = 'reranker' + if "rerank" in model_name: + model_type = "reranker" else: - model_type = 'embedding' + model_type = "embedding" return TeiModelExtraParameter(model_type=model_type, max_input_length=512, max_client_batch_size=1) @@ -17,16 +17,16 @@ class MockTEIClass: # Use space as token separator, and split the text into tokens tokenized_texts = [] for text in texts: - tokens = text.split(' ') + tokens = text.split(" ") current_index = 0 tokenized_text = [] for idx, token in enumerate(tokens): s_token = { - 'id': idx, - 'text': token, - 'special': False, - 'start': current_index, - 'stop': current_index + len(token), + "id": idx, + "text": token, + "special": False, + "start": current_index, + "stop": current_index + len(token), } current_index += len(token) + 1 tokenized_text.append(s_token) @@ -55,18 +55,18 @@ class MockTEIClass: embedding = [0.1] * 768 embeddings.append( { - 'object': 'embedding', - 'embedding': embedding, - 'index': idx, + "object": "embedding", + "embedding": embedding, + "index": idx, } ) return { - 'object': 'list', - 'data': embeddings, - 'model': 'MODEL_NAME', - 'usage': { - 'prompt_tokens': sum(len(text.split(' ')) for text in texts), - 'total_tokens': sum(len(text.split(' ')) for text in texts), + "object": "list", + "data": embeddings, + "model": "MODEL_NAME", + "usage": { + "prompt_tokens": sum(len(text.split(" ")) for text in texts), + "total_tokens": sum(len(text.split(" ")) for text in texts), }, } @@ -83,9 +83,9 @@ class MockTEIClass: for idx, text in enumerate(texts): reranked_docs.append( { - 'index': idx, - 'text': text, - 'score': 0.9, + "index": idx, + "text": text, + "score": 0.9, } ) # For mock, only return the first document diff --git a/api/tests/integration_tests/model_runtime/__mock/openai.py b/api/tests/integration_tests/model_runtime/__mock/openai.py index 0d3f0fbbea..6637f4f212 100644 --- a/api/tests/integration_tests/model_runtime/__mock/openai.py +++ b/api/tests/integration_tests/model_runtime/__mock/openai.py @@ -21,13 +21,17 @@ from tests.integration_tests.model_runtime.__mock.openai_remote import MockModel from tests.integration_tests.model_runtime.__mock.openai_speech2text import MockSpeech2TextClass -def mock_openai(monkeypatch: MonkeyPatch, methods: list[Literal["completion", "chat", "remote", "moderation", "speech2text", "text_embedding"]]) -> Callable[[], None]: +def mock_openai( + monkeypatch: MonkeyPatch, + methods: list[Literal["completion", "chat", "remote", "moderation", "speech2text", "text_embedding"]], +) -> Callable[[], None]: """ - mock openai module + mock openai module - :param monkeypatch: pytest monkeypatch fixture - :return: unpatch function + :param monkeypatch: pytest monkeypatch fixture + :return: unpatch function """ + def unpatch() -> None: monkeypatch.undo() @@ -52,15 +56,16 @@ def mock_openai(monkeypatch: MonkeyPatch, methods: list[Literal["completion", "c return unpatch -MOCK = os.getenv('MOCK_SWITCH', 'false').lower() == 'true' +MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" + @pytest.fixture def setup_openai_mock(request, monkeypatch): - methods = request.param if hasattr(request, 'param') else [] + methods = request.param if hasattr(request, "param") else [] if MOCK: unpatch = mock_openai(monkeypatch, methods=methods) - + yield if MOCK: - unpatch() \ No newline at end of file + unpatch() diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_chat.py b/api/tests/integration_tests/model_runtime/__mock/openai_chat.py index ba902e32ea..d9cd7b046e 100644 --- a/api/tests/integration_tests/model_runtime/__mock/openai_chat.py +++ b/api/tests/integration_tests/model_runtime/__mock/openai_chat.py @@ -43,62 +43,64 @@ class MockChatClass: if not functions or len(functions) == 0: return None function: completion_create_params.Function = functions[0] - function_name = function['name'] - function_description = function['description'] - function_parameters = function['parameters'] - function_parameters_type = function_parameters['type'] - if function_parameters_type != 'object': + function_name = function["name"] + function_description = function["description"] + function_parameters = function["parameters"] + function_parameters_type = function_parameters["type"] + if function_parameters_type != "object": return None - function_parameters_properties = function_parameters['properties'] - function_parameters_required = function_parameters['required'] + function_parameters_properties = function_parameters["properties"] + function_parameters_required = function_parameters["required"] parameters = {} for parameter_name, parameter in function_parameters_properties.items(): if parameter_name not in function_parameters_required: continue - parameter_type = parameter['type'] - if parameter_type == 'string': - if 'enum' in parameter: - if len(parameter['enum']) == 0: + parameter_type = parameter["type"] + if parameter_type == "string": + if "enum" in parameter: + if len(parameter["enum"]) == 0: continue - parameters[parameter_name] = parameter['enum'][0] + parameters[parameter_name] = parameter["enum"][0] else: - parameters[parameter_name] = 'kawaii' - elif parameter_type == 'integer': + parameters[parameter_name] = "kawaii" + elif parameter_type == "integer": parameters[parameter_name] = 114514 - elif parameter_type == 'number': + elif parameter_type == "number": parameters[parameter_name] = 1919810.0 - elif parameter_type == 'boolean': + elif parameter_type == "boolean": parameters[parameter_name] = True return FunctionCall(name=function_name, arguments=dumps(parameters)) - + @staticmethod - def generate_tool_calls(tools = NOT_GIVEN) -> Optional[list[ChatCompletionMessageToolCall]]: + def generate_tool_calls(tools=NOT_GIVEN) -> Optional[list[ChatCompletionMessageToolCall]]: list_tool_calls = [] if not tools or len(tools) == 0: return None tool = tools[0] - if 'type' in tools and tools['type'] != 'function': + if "type" in tools and tools["type"] != "function": return None - function = tool['function'] + function = tool["function"] function_call = MockChatClass.generate_function_call(functions=[function]) if function_call is None: return None - - list_tool_calls.append(ChatCompletionMessageToolCall( - id='sakurajima-mai', - function=Function( - name=function_call.name, - arguments=function_call.arguments, - ), - type='function' - )) + + list_tool_calls.append( + ChatCompletionMessageToolCall( + id="sakurajima-mai", + function=Function( + name=function_call.name, + arguments=function_call.arguments, + ), + type="function", + ) + ) return list_tool_calls - + @staticmethod def mocked_openai_chat_create_sync( model: str, @@ -111,30 +113,27 @@ class MockChatClass: tool_calls = MockChatClass.generate_tool_calls(tools=tools) return _ChatCompletion( - id='cmpl-3QJQa5jXJ5Z5X', + id="cmpl-3QJQa5jXJ5Z5X", choices=[ _ChatCompletionChoice( - finish_reason='content_filter', + finish_reason="content_filter", index=0, message=ChatCompletionMessage( - content='elaina', - role='assistant', - function_call=function_call, - tool_calls=tool_calls - ) + content="elaina", role="assistant", function_call=function_call, tool_calls=tool_calls + ), ) ], created=int(time()), model=model, - object='chat.completion', - system_fingerprint='', + object="chat.completion", + system_fingerprint="", usage=CompletionUsage( prompt_tokens=2, completion_tokens=1, total_tokens=3, - ) + ), ) - + @staticmethod def mocked_openai_chat_create_stream( model: str, @@ -150,36 +149,40 @@ class MockChatClass: for i in range(0, len(full_text) + 1): if i == len(full_text): yield ChatCompletionChunk( - id='cmpl-3QJQa5jXJ5Z5X', + id="cmpl-3QJQa5jXJ5Z5X", choices=[ Choice( delta=ChoiceDelta( - content='', + content="", function_call=ChoiceDeltaFunctionCall( name=function_call.name, arguments=function_call.arguments, - ) if function_call else None, - role='assistant', + ) + if function_call + else None, + role="assistant", tool_calls=[ ChoiceDeltaToolCall( index=0, - id='misaka-mikoto', + id="misaka-mikoto", function=ChoiceDeltaToolCallFunction( name=tool_calls[0].function.name, arguments=tool_calls[0].function.arguments, ), - type='function' + type="function", ) - ] if tool_calls and len(tool_calls) > 0 else None + ] + if tool_calls and len(tool_calls) > 0 + else None, ), - finish_reason='function_call', + finish_reason="function_call", index=0, ) ], created=int(time()), model=model, - object='chat.completion.chunk', - system_fingerprint='', + object="chat.completion.chunk", + system_fingerprint="", usage=CompletionUsage( prompt_tokens=2, completion_tokens=17, @@ -188,30 +191,45 @@ class MockChatClass: ) else: yield ChatCompletionChunk( - id='cmpl-3QJQa5jXJ5Z5X', + id="cmpl-3QJQa5jXJ5Z5X", choices=[ Choice( delta=ChoiceDelta( content=full_text[i], - role='assistant', + role="assistant", ), - finish_reason='content_filter', + finish_reason="content_filter", index=0, ) ], created=int(time()), model=model, - object='chat.completion.chunk', - system_fingerprint='', + object="chat.completion.chunk", + system_fingerprint="", ) - def chat_create(self: Completions, *, + def chat_create( + self: Completions, + *, messages: list[ChatCompletionMessageParam], - model: Union[str,Literal[ - "gpt-4-1106-preview", "gpt-4-vision-preview", "gpt-4", "gpt-4-0314", "gpt-4-0613", - "gpt-4-32k", "gpt-4-32k-0314", "gpt-4-32k-0613", - "gpt-3.5-turbo-1106", "gpt-3.5-turbo", "gpt-3.5-turbo-16k", "gpt-3.5-turbo-0301", - "gpt-3.5-turbo-0613", "gpt-3.5-turbo-16k-0613"], + model: Union[ + str, + Literal[ + "gpt-4-1106-preview", + "gpt-4-vision-preview", + "gpt-4", + "gpt-4-0314", + "gpt-4-0613", + "gpt-4-32k", + "gpt-4-32k-0314", + "gpt-4-32k-0613", + "gpt-3.5-turbo-1106", + "gpt-3.5-turbo", + "gpt-3.5-turbo-16k", + "gpt-3.5-turbo-0301", + "gpt-3.5-turbo-0613", + "gpt-3.5-turbo-16k-0613", + ], ], functions: list[completion_create_params.Function] | NotGiven = NOT_GIVEN, response_format: completion_create_params.ResponseFormat | NotGiven = NOT_GIVEN, @@ -220,24 +238,32 @@ class MockChatClass: **kwargs: Any, ): openai_models = [ - "gpt-4-1106-preview", "gpt-4-vision-preview", "gpt-4", "gpt-4-0314", "gpt-4-0613", - "gpt-4-32k", "gpt-4-32k-0314", "gpt-4-32k-0613", - "gpt-3.5-turbo-1106", "gpt-3.5-turbo", "gpt-3.5-turbo-16k", "gpt-3.5-turbo-0301", - "gpt-3.5-turbo-0613", "gpt-3.5-turbo-16k-0613", + "gpt-4-1106-preview", + "gpt-4-vision-preview", + "gpt-4", + "gpt-4-0314", + "gpt-4-0613", + "gpt-4-32k", + "gpt-4-32k-0314", + "gpt-4-32k-0613", + "gpt-3.5-turbo-1106", + "gpt-3.5-turbo", + "gpt-3.5-turbo-16k", + "gpt-3.5-turbo-0301", + "gpt-3.5-turbo-0613", + "gpt-3.5-turbo-16k-0613", ] - azure_openai_models = [ - "gpt35", "gpt-4v", "gpt-35-turbo" - ] - if not re.match(r'^(https?):\/\/[^\s\/$.?#].[^\s]*$', self._client.base_url.__str__()): - raise InvokeAuthorizationError('Invalid base url') + azure_openai_models = ["gpt35", "gpt-4v", "gpt-35-turbo"] + if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", self._client.base_url.__str__()): + raise InvokeAuthorizationError("Invalid base url") if model in openai_models + azure_openai_models: - if not re.match(r'sk-[a-zA-Z0-9]{24,}$', self._client.api_key) and type(self._client) == OpenAI: + if not re.match(r"sk-[a-zA-Z0-9]{24,}$", self._client.api_key) and type(self._client) == OpenAI: # sometime, provider use OpenAI compatible API will not have api key or have different api key format # so we only check if model is in openai_models - raise InvokeAuthorizationError('Invalid api key') + raise InvokeAuthorizationError("Invalid api key") if len(self._client.api_key) < 18 and type(self._client) == AzureOpenAI: - raise InvokeAuthorizationError('Invalid api key') + raise InvokeAuthorizationError("Invalid api key") if stream: return MockChatClass.mocked_openai_chat_create_stream(model=model, functions=functions, tools=tools) - - return MockChatClass.mocked_openai_chat_create_sync(model=model, functions=functions, tools=tools) \ No newline at end of file + + return MockChatClass.mocked_openai_chat_create_sync(model=model, functions=functions, tools=tools) diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_completion.py b/api/tests/integration_tests/model_runtime/__mock/openai_completion.py index b0d2675905..c27e89248f 100644 --- a/api/tests/integration_tests/model_runtime/__mock/openai_completion.py +++ b/api/tests/integration_tests/model_runtime/__mock/openai_completion.py @@ -17,9 +17,7 @@ from core.model_runtime.errors.invoke import InvokeAuthorizationError class MockCompletionsClass: @staticmethod - def mocked_openai_completion_create_sync( - model: str - ) -> CompletionMessage: + def mocked_openai_completion_create_sync(model: str) -> CompletionMessage: return CompletionMessage( id="cmpl-3QJQa5jXJ5Z5X", object="text_completion", @@ -38,13 +36,11 @@ class MockCompletionsClass: prompt_tokens=2, completion_tokens=1, total_tokens=3, - ) + ), ) - + @staticmethod - def mocked_openai_completion_create_stream( - model: str - ) -> Generator[CompletionMessage, None, None]: + def mocked_openai_completion_create_stream(model: str) -> Generator[CompletionMessage, None, None]: full_text = "Hello, world!\n\n```python\nprint('Hello, world!')\n```" for i in range(0, len(full_text) + 1): if i == len(full_text): @@ -76,46 +72,59 @@ class MockCompletionsClass: model=model, system_fingerprint="", choices=[ - CompletionChoice( - text=full_text[i], - index=0, - logprobs=None, - finish_reason="content_filter" - ) + CompletionChoice(text=full_text[i], index=0, logprobs=None, finish_reason="content_filter") ], ) - def completion_create(self: Completions, *, model: Union[ - str, Literal["babbage-002", "davinci-002", "gpt-3.5-turbo-instruct", - "text-davinci-003", "text-davinci-002", "text-davinci-001", - "code-davinci-002", "text-curie-001", "text-babbage-001", - "text-ada-001"], + def completion_create( + self: Completions, + *, + model: Union[ + str, + Literal[ + "babbage-002", + "davinci-002", + "gpt-3.5-turbo-instruct", + "text-davinci-003", + "text-davinci-002", + "text-davinci-001", + "code-davinci-002", + "text-curie-001", + "text-babbage-001", + "text-ada-001", + ], ], prompt: Union[str, list[str], list[int], list[list[int]], None], stream: Optional[Literal[False]] | NotGiven = NOT_GIVEN, - **kwargs: Any + **kwargs: Any, ): openai_models = [ - "babbage-002", "davinci-002", "gpt-3.5-turbo-instruct", "text-davinci-003", "text-davinci-002", "text-davinci-001", - "code-davinci-002", "text-curie-001", "text-babbage-001", "text-ada-001", - ] - azure_openai_models = [ - "gpt-35-turbo-instruct" + "babbage-002", + "davinci-002", + "gpt-3.5-turbo-instruct", + "text-davinci-003", + "text-davinci-002", + "text-davinci-001", + "code-davinci-002", + "text-curie-001", + "text-babbage-001", + "text-ada-001", ] + azure_openai_models = ["gpt-35-turbo-instruct"] - if not re.match(r'^(https?):\/\/[^\s\/$.?#].[^\s]*$', self._client.base_url.__str__()): - raise InvokeAuthorizationError('Invalid base url') + if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", self._client.base_url.__str__()): + raise InvokeAuthorizationError("Invalid base url") if model in openai_models + azure_openai_models: - if not re.match(r'sk-[a-zA-Z0-9]{24,}$', self._client.api_key) and type(self._client) == OpenAI: + if not re.match(r"sk-[a-zA-Z0-9]{24,}$", self._client.api_key) and type(self._client) == OpenAI: # sometime, provider use OpenAI compatible API will not have api key or have different api key format # so we only check if model is in openai_models - raise InvokeAuthorizationError('Invalid api key') + raise InvokeAuthorizationError("Invalid api key") if len(self._client.api_key) < 18 and type(self._client) == AzureOpenAI: - raise InvokeAuthorizationError('Invalid api key') - + raise InvokeAuthorizationError("Invalid api key") + if not prompt: - raise BadRequestError('Invalid prompt') + raise BadRequestError("Invalid prompt") if stream: return MockCompletionsClass.mocked_openai_completion_create_stream(model=model) - - return MockCompletionsClass.mocked_openai_completion_create_sync(model=model) \ No newline at end of file + + return MockCompletionsClass.mocked_openai_completion_create_sync(model=model) diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_embeddings.py b/api/tests/integration_tests/model_runtime/__mock/openai_embeddings.py index eccdbd3479..4138cdd40d 100644 --- a/api/tests/integration_tests/model_runtime/__mock/openai_embeddings.py +++ b/api/tests/integration_tests/model_runtime/__mock/openai_embeddings.py @@ -12,48 +12,39 @@ from core.model_runtime.errors.invoke import InvokeAuthorizationError class MockEmbeddingsClass: def create_embeddings( - self: Embeddings, *, + self: Embeddings, + *, input: Union[str, list[str], list[int], list[list[int]]], model: Union[str, Literal["text-embedding-ada-002"]], encoding_format: Literal["float", "base64"] | NotGiven = NOT_GIVEN, - **kwargs: Any + **kwargs: Any, ) -> CreateEmbeddingResponse: if isinstance(input, str): input = [input] - if not re.match(r'^(https?):\/\/[^\s\/$.?#].[^\s]*$', self._client.base_url.__str__()): - raise InvokeAuthorizationError('Invalid base url') - + if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", self._client.base_url.__str__()): + raise InvokeAuthorizationError("Invalid base url") + if len(self._client.api_key) < 18: - raise InvokeAuthorizationError('Invalid API key') - - if encoding_format == 'float': + raise InvokeAuthorizationError("Invalid API key") + + if encoding_format == "float": return CreateEmbeddingResponse( data=[ - Embedding( - embedding=[0.23333 for _ in range(233)], - index=i, - object='embedding' - ) for i in range(len(input)) + Embedding(embedding=[0.23333 for _ in range(233)], index=i, object="embedding") + for i in range(len(input)) ], model=model, - object='list', + object="list", # marked: usage of embeddings should equal the number of testcase - usage=Usage( - prompt_tokens=2, - total_tokens=2 - ) + usage=Usage(prompt_tokens=2, total_tokens=2), ) - - embeddings = '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' + + embeddings = "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" data = [] for i, text in enumerate(input): - obj = Embedding( - embedding=[], - index=i, - object='embedding' - ) + obj = Embedding(embedding=[], index=i, object="embedding") obj.embedding = embeddings data.append(obj) @@ -61,10 +52,7 @@ class MockEmbeddingsClass: return CreateEmbeddingResponse( data=data, model=model, - object='list', + object="list", # marked: usage of embeddings should equal the number of testcase - usage=Usage( - prompt_tokens=2, - total_tokens=2 - ) - ) \ No newline at end of file + usage=Usage(prompt_tokens=2, total_tokens=2), + ) diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py b/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py index 9466f4bfb8..270a88e85f 100644 --- a/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py +++ b/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py @@ -10,58 +10,92 @@ from core.model_runtime.errors.invoke import InvokeAuthorizationError class MockModerationClass: - def moderation_create(self: Moderations,*, + def moderation_create( + self: Moderations, + *, input: Union[str, list[str]], model: Union[str, Literal["text-moderation-latest", "text-moderation-stable"]] | NotGiven = NOT_GIVEN, - **kwargs: Any + **kwargs: Any, ) -> ModerationCreateResponse: if isinstance(input, str): input = [input] - if not re.match(r'^(https?):\/\/[^\s\/$.?#].[^\s]*$', self._client.base_url.__str__()): - raise InvokeAuthorizationError('Invalid base url') - + if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", self._client.base_url.__str__()): + raise InvokeAuthorizationError("Invalid base url") + if len(self._client.api_key) < 18: - raise InvokeAuthorizationError('Invalid API key') + raise InvokeAuthorizationError("Invalid API key") for text in input: result = [] - if 'kill' in text: + if "kill" in text: moderation_categories = { - 'harassment': False, 'harassment/threatening': False, 'hate': False, 'hate/threatening': False, - 'self-harm': False, 'self-harm/instructions': False, 'self-harm/intent': False, 'sexual': False, - 'sexual/minors': False, 'violence': False, 'violence/graphic': False + "harassment": False, + "harassment/threatening": False, + "hate": False, + "hate/threatening": False, + "self-harm": False, + "self-harm/instructions": False, + "self-harm/intent": False, + "sexual": False, + "sexual/minors": False, + "violence": False, + "violence/graphic": False, } moderation_categories_scores = { - 'harassment': 1.0, 'harassment/threatening': 1.0, 'hate': 1.0, 'hate/threatening': 1.0, - 'self-harm': 1.0, 'self-harm/instructions': 1.0, 'self-harm/intent': 1.0, 'sexual': 1.0, - 'sexual/minors': 1.0, 'violence': 1.0, 'violence/graphic': 1.0 + "harassment": 1.0, + "harassment/threatening": 1.0, + "hate": 1.0, + "hate/threatening": 1.0, + "self-harm": 1.0, + "self-harm/instructions": 1.0, + "self-harm/intent": 1.0, + "sexual": 1.0, + "sexual/minors": 1.0, + "violence": 1.0, + "violence/graphic": 1.0, } - result.append(Moderation( - flagged=True, - categories=Categories(**moderation_categories), - category_scores=CategoryScores(**moderation_categories_scores) - )) + result.append( + Moderation( + flagged=True, + categories=Categories(**moderation_categories), + category_scores=CategoryScores(**moderation_categories_scores), + ) + ) else: moderation_categories = { - 'harassment': False, 'harassment/threatening': False, 'hate': False, 'hate/threatening': False, - 'self-harm': False, 'self-harm/instructions': False, 'self-harm/intent': False, 'sexual': False, - 'sexual/minors': False, 'violence': False, 'violence/graphic': False + "harassment": False, + "harassment/threatening": False, + "hate": False, + "hate/threatening": False, + "self-harm": False, + "self-harm/instructions": False, + "self-harm/intent": False, + "sexual": False, + "sexual/minors": False, + "violence": False, + "violence/graphic": False, } moderation_categories_scores = { - 'harassment': 0.0, 'harassment/threatening': 0.0, 'hate': 0.0, 'hate/threatening': 0.0, - 'self-harm': 0.0, 'self-harm/instructions': 0.0, 'self-harm/intent': 0.0, 'sexual': 0.0, - 'sexual/minors': 0.0, 'violence': 0.0, 'violence/graphic': 0.0 + "harassment": 0.0, + "harassment/threatening": 0.0, + "hate": 0.0, + "hate/threatening": 0.0, + "self-harm": 0.0, + "self-harm/instructions": 0.0, + "self-harm/intent": 0.0, + "sexual": 0.0, + "sexual/minors": 0.0, + "violence": 0.0, + "violence/graphic": 0.0, } - result.append(Moderation( - flagged=False, - categories=Categories(**moderation_categories), - category_scores=CategoryScores(**moderation_categories_scores) - )) + result.append( + Moderation( + flagged=False, + categories=Categories(**moderation_categories), + category_scores=CategoryScores(**moderation_categories_scores), + ) + ) - return ModerationCreateResponse( - id='shiroii kuloko', - model=model, - results=result - ) \ No newline at end of file + return ModerationCreateResponse(id="shiroii kuloko", model=model, results=result) diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_remote.py b/api/tests/integration_tests/model_runtime/__mock/openai_remote.py index 0124ac045b..cb8f249543 100644 --- a/api/tests/integration_tests/model_runtime/__mock/openai_remote.py +++ b/api/tests/integration_tests/model_runtime/__mock/openai_remote.py @@ -6,17 +6,18 @@ from openai.types.model import Model class MockModelClass: """ - mock class for openai.models.Models + mock class for openai.models.Models """ + def list( self, **kwargs, ) -> list[Model]: return [ Model( - id='ft:gpt-3.5-turbo-0613:personal::8GYJLPDQ', + id="ft:gpt-3.5-turbo-0613:personal::8GYJLPDQ", created=int(time()), - object='model', - owned_by='organization:org-123', + object="model", + owned_by="organization:org-123", ) - ] \ No newline at end of file + ] diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_speech2text.py b/api/tests/integration_tests/model_runtime/__mock/openai_speech2text.py index 755fec4c1f..ef361e8613 100644 --- a/api/tests/integration_tests/model_runtime/__mock/openai_speech2text.py +++ b/api/tests/integration_tests/model_runtime/__mock/openai_speech2text.py @@ -9,7 +9,8 @@ from core.model_runtime.errors.invoke import InvokeAuthorizationError class MockSpeech2TextClass: - def speech2text_create(self: Transcriptions, + def speech2text_create( + self: Transcriptions, *, file: FileTypes, model: Union[str, Literal["whisper-1"]], @@ -17,14 +18,12 @@ class MockSpeech2TextClass: prompt: str | NotGiven = NOT_GIVEN, response_format: Literal["json", "text", "srt", "verbose_json", "vtt"] | NotGiven = NOT_GIVEN, temperature: float | NotGiven = NOT_GIVEN, - **kwargs: Any + **kwargs: Any, ) -> Transcription: - if not re.match(r'^(https?):\/\/[^\s\/$.?#].[^\s]*$', self._client.base_url.__str__()): - raise InvokeAuthorizationError('Invalid base url') - + if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", self._client.base_url.__str__()): + raise InvokeAuthorizationError("Invalid base url") + if len(self._client.api_key) < 18: - raise InvokeAuthorizationError('Invalid API key') - - return Transcription( - text='1, 2, 3, 4, 5, 6, 7, 8, 9, 10' - ) \ No newline at end of file + raise InvokeAuthorizationError("Invalid API key") + + return Transcription(text="1, 2, 3, 4, 5, 6, 7, 8, 9, 10") diff --git a/api/tests/integration_tests/model_runtime/__mock/xinference.py b/api/tests/integration_tests/model_runtime/__mock/xinference.py index 7cb0a1318e..777737187e 100644 --- a/api/tests/integration_tests/model_runtime/__mock/xinference.py +++ b/api/tests/integration_tests/model_runtime/__mock/xinference.py @@ -19,40 +19,43 @@ from xinference_client.types import Embedding, EmbeddingData, EmbeddingUsage class MockXinferenceClass: - def get_chat_model(self: Client, model_uid: str) -> Union[RESTfulChatglmCppChatModelHandle, RESTfulGenerateModelHandle, RESTfulChatModelHandle]: - if not re.match(r'https?:\/\/[^\s\/$.?#].[^\s]*$', self.base_url): - raise RuntimeError('404 Not Found') - - if 'generate' == model_uid: + def get_chat_model( + self: Client, model_uid: str + ) -> Union[RESTfulChatglmCppChatModelHandle, RESTfulGenerateModelHandle, RESTfulChatModelHandle]: + if not re.match(r"https?:\/\/[^\s\/$.?#].[^\s]*$", self.base_url): + raise RuntimeError("404 Not Found") + + if "generate" == model_uid: return RESTfulGenerateModelHandle(model_uid, base_url=self.base_url, auth_headers={}) - if 'chat' == model_uid: + if "chat" == model_uid: return RESTfulChatModelHandle(model_uid, base_url=self.base_url, auth_headers={}) - if 'embedding' == model_uid: + if "embedding" == model_uid: return RESTfulEmbeddingModelHandle(model_uid, base_url=self.base_url, auth_headers={}) - if 'rerank' == model_uid: + if "rerank" == model_uid: return RESTfulRerankModelHandle(model_uid, base_url=self.base_url, auth_headers={}) - raise RuntimeError('404 Not Found') - + raise RuntimeError("404 Not Found") + def get(self: Session, url: str, **kwargs): response = Response() - if 'v1/models/' in url: + if "v1/models/" in url: # get model uid - model_uid = url.split('/')[-1] or '' - if not re.match(r'[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}', model_uid) and \ - model_uid not in ['generate', 'chat', 'embedding', 'rerank']: + model_uid = url.split("/")[-1] or "" + if not re.match( + r"[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}", model_uid + ) and model_uid not in ["generate", "chat", "embedding", "rerank"]: response.status_code = 404 - response._content = b'{}' + response._content = b"{}" return response # check if url is valid - if not re.match(r'^(https?):\/\/[^\s\/$.?#].[^\s]*$', url): + if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", url): response.status_code = 404 - response._content = b'{}' + response._content = b"{}" return response - - if model_uid in ['generate', 'chat']: + + if model_uid in ["generate", "chat"]: response.status_code = 200 - response._content = b'''{ + response._content = b"""{ "model_type": "LLM", "address": "127.0.0.1:43877", "accelerators": [ @@ -75,12 +78,12 @@ class MockXinferenceClass: "revision": null, "context_length": 2048, "replica": 1 - }''' + }""" return response - - elif model_uid == 'embedding': + + elif model_uid == "embedding": response.status_code = 200 - response._content = b'''{ + response._content = b"""{ "model_type": "embedding", "address": "127.0.0.1:43877", "accelerators": [ @@ -93,51 +96,48 @@ class MockXinferenceClass: ], "revision": null, "max_tokens": 512 - }''' + }""" return response - - elif 'v1/cluster/auth' in url: + + elif "v1/cluster/auth" in url: response.status_code = 200 - response._content = b'''{ + response._content = b"""{ "auth": true - }''' + }""" return response - + def _check_cluster_authenticated(self): self._cluster_authed = True - - def rerank(self: RESTfulRerankModelHandle, documents: list[str], query: str, top_n: int, return_documents: bool) -> dict: + + def rerank( + self: RESTfulRerankModelHandle, documents: list[str], query: str, top_n: int, return_documents: bool + ) -> dict: # check if self._model_uid is a valid uuid - if not re.match(r'[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}', self._model_uid) and \ - self._model_uid != 'rerank': - raise RuntimeError('404 Not Found') - - if not re.match(r'^(https?):\/\/[^\s\/$.?#].[^\s]*$', self._base_url): - raise RuntimeError('404 Not Found') + if ( + not re.match(r"[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}", self._model_uid) + and self._model_uid != "rerank" + ): + raise RuntimeError("404 Not Found") + + if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", self._base_url): + raise RuntimeError("404 Not Found") if top_n is None: top_n = 1 return { - 'results': [ - { - 'index': i, - 'document': doc, - 'relevance_score': 0.9 - } - for i, doc in enumerate(documents[:top_n]) + "results": [ + {"index": i, "document": doc, "relevance_score": 0.9} for i, doc in enumerate(documents[:top_n]) ] } - - def create_embedding( - self: RESTfulGenerateModelHandle, - input: Union[str, list[str]], - **kwargs - ) -> dict: + + def create_embedding(self: RESTfulGenerateModelHandle, input: Union[str, list[str]], **kwargs) -> dict: # check if self._model_uid is a valid uuid - if not re.match(r'[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}', self._model_uid) and \ - self._model_uid != 'embedding': - raise RuntimeError('404 Not Found') + if ( + not re.match(r"[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}", self._model_uid) + and self._model_uid != "embedding" + ): + raise RuntimeError("404 Not Found") if isinstance(input, str): input = [input] @@ -147,32 +147,27 @@ class MockXinferenceClass: object="list", model=self._model_uid, data=[ - EmbeddingData( - index=i, - object="embedding", - embedding=[1919.810 for _ in range(768)] - ) + EmbeddingData(index=i, object="embedding", embedding=[1919.810 for _ in range(768)]) for i in range(ipt_len) ], - usage=EmbeddingUsage( - prompt_tokens=ipt_len, - total_tokens=ipt_len - ) + usage=EmbeddingUsage(prompt_tokens=ipt_len, total_tokens=ipt_len), ) return embedding -MOCK = os.getenv('MOCK_SWITCH', 'false').lower() == 'true' + +MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" + @pytest.fixture def setup_xinference_mock(request, monkeypatch: MonkeyPatch): if MOCK: - monkeypatch.setattr(Client, 'get_model', MockXinferenceClass.get_chat_model) - monkeypatch.setattr(Client, '_check_cluster_authenticated', MockXinferenceClass._check_cluster_authenticated) - monkeypatch.setattr(Session, 'get', MockXinferenceClass.get) - monkeypatch.setattr(RESTfulEmbeddingModelHandle, 'create_embedding', MockXinferenceClass.create_embedding) - monkeypatch.setattr(RESTfulRerankModelHandle, 'rerank', MockXinferenceClass.rerank) + monkeypatch.setattr(Client, "get_model", MockXinferenceClass.get_chat_model) + monkeypatch.setattr(Client, "_check_cluster_authenticated", MockXinferenceClass._check_cluster_authenticated) + monkeypatch.setattr(Session, "get", MockXinferenceClass.get) + monkeypatch.setattr(RESTfulEmbeddingModelHandle, "create_embedding", MockXinferenceClass.create_embedding) + monkeypatch.setattr(RESTfulRerankModelHandle, "rerank", MockXinferenceClass.rerank) yield if MOCK: - monkeypatch.undo() \ No newline at end of file + monkeypatch.undo() diff --git a/api/tests/integration_tests/model_runtime/anthropic/test_llm.py b/api/tests/integration_tests/model_runtime/anthropic/test_llm.py index 0d54d97daa..8f7e9ec487 100644 --- a/api/tests/integration_tests/model_runtime/anthropic/test_llm.py +++ b/api/tests/integration_tests/model_runtime/anthropic/test_llm.py @@ -10,79 +10,60 @@ from core.model_runtime.model_providers.anthropic.llm.llm import AnthropicLargeL from tests.integration_tests.model_runtime.__mock.anthropic import setup_anthropic_mock -@pytest.mark.parametrize('setup_anthropic_mock', [['none']], indirect=True) +@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True) def test_validate_credentials(setup_anthropic_mock): model = AnthropicLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='claude-instant-1.2', - credentials={ - 'anthropic_api_key': 'invalid_key' - } - ) + model.validate_credentials(model="claude-instant-1.2", credentials={"anthropic_api_key": "invalid_key"}) model.validate_credentials( - model='claude-instant-1.2', - credentials={ - 'anthropic_api_key': os.environ.get('ANTHROPIC_API_KEY') - } + model="claude-instant-1.2", credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")} ) -@pytest.mark.parametrize('setup_anthropic_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True) def test_invoke_model(setup_anthropic_mock): model = AnthropicLargeLanguageModel() response = model.invoke( - model='claude-instant-1.2', + model="claude-instant-1.2", credentials={ - 'anthropic_api_key': os.environ.get('ANTHROPIC_API_KEY'), - 'anthropic_api_url': os.environ.get('ANTHROPIC_API_URL') + "anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY"), + "anthropic_api_url": os.environ.get("ANTHROPIC_API_URL"), }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], - model_parameters={ - 'temperature': 0.0, - 'top_p': 1.0, - 'max_tokens': 10 - }, - stop=['How'], + model_parameters={"temperature": 0.0, "top_p": 1.0, "max_tokens": 10}, + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 -@pytest.mark.parametrize('setup_anthropic_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True) def test_invoke_stream_model(setup_anthropic_mock): model = AnthropicLargeLanguageModel() response = model.invoke( - model='claude-instant-1.2', - credentials={ - 'anthropic_api_key': os.environ.get('ANTHROPIC_API_KEY') - }, + model="claude-instant-1.2", + credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 100 - }, + model_parameters={"temperature": 0.0, "max_tokens": 100}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -98,18 +79,14 @@ def test_get_num_tokens(): model = AnthropicLargeLanguageModel() num_tokens = model.get_num_tokens( - model='claude-instant-1.2', - credentials={ - 'anthropic_api_key': os.environ.get('ANTHROPIC_API_KEY') - }, + model="claude-instant-1.2", + credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert num_tokens == 18 diff --git a/api/tests/integration_tests/model_runtime/anthropic/test_provider.py b/api/tests/integration_tests/model_runtime/anthropic/test_provider.py index 7eaa40dfdd..6f1e50f431 100644 --- a/api/tests/integration_tests/model_runtime/anthropic/test_provider.py +++ b/api/tests/integration_tests/model_runtime/anthropic/test_provider.py @@ -7,17 +7,11 @@ from core.model_runtime.model_providers.anthropic.anthropic import AnthropicProv from tests.integration_tests.model_runtime.__mock.anthropic import setup_anthropic_mock -@pytest.mark.parametrize('setup_anthropic_mock', [['none']], indirect=True) +@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True) def test_validate_provider_credentials(setup_anthropic_mock): provider = AnthropicProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={} - ) + provider.validate_provider_credentials(credentials={}) - provider.validate_provider_credentials( - credentials={ - 'anthropic_api_key': os.environ.get('ANTHROPIC_API_KEY') - } - ) + provider.validate_provider_credentials(credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/azure_openai/test_llm.py b/api/tests/integration_tests/model_runtime/azure_openai/test_llm.py index 6afec540ad..8f50ebf7a6 100644 --- a/api/tests/integration_tests/model_runtime/azure_openai/test_llm.py +++ b/api/tests/integration_tests/model_runtime/azure_openai/test_llm.py @@ -17,101 +17,90 @@ from core.model_runtime.model_providers.azure_openai.llm.llm import AzureOpenAIL from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_validate_credentials_for_chat_model(setup_openai_mock): model = AzureOpenAILargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='gpt35', + model="gpt35", credentials={ - 'openai_api_base': os.environ.get('AZURE_OPENAI_API_BASE'), - 'openai_api_key': 'invalid_key', - 'base_model_name': 'gpt-35-turbo' - } + "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), + "openai_api_key": "invalid_key", + "base_model_name": "gpt-35-turbo", + }, ) model.validate_credentials( - model='gpt35', + model="gpt35", credentials={ - 'openai_api_base': os.environ.get('AZURE_OPENAI_API_BASE'), - 'openai_api_key': os.environ.get('AZURE_OPENAI_API_KEY'), - 'base_model_name': 'gpt-35-turbo' - } + "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), + "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), + "base_model_name": "gpt-35-turbo", + }, ) -@pytest.mark.parametrize('setup_openai_mock', [['completion']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True) def test_validate_credentials_for_completion_model(setup_openai_mock): model = AzureOpenAILargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='gpt-35-turbo-instruct', + model="gpt-35-turbo-instruct", credentials={ - 'openai_api_base': os.environ.get('AZURE_OPENAI_API_BASE'), - 'openai_api_key': 'invalid_key', - 'base_model_name': 'gpt-35-turbo-instruct' - } + "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), + "openai_api_key": "invalid_key", + "base_model_name": "gpt-35-turbo-instruct", + }, ) model.validate_credentials( - model='gpt-35-turbo-instruct', + model="gpt-35-turbo-instruct", credentials={ - 'openai_api_base': os.environ.get('AZURE_OPENAI_API_BASE'), - 'openai_api_key': os.environ.get('AZURE_OPENAI_API_KEY'), - 'base_model_name': 'gpt-35-turbo-instruct' - } + "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), + "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), + "base_model_name": "gpt-35-turbo-instruct", + }, ) -@pytest.mark.parametrize('setup_openai_mock', [['completion']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True) def test_invoke_completion_model(setup_openai_mock): model = AzureOpenAILargeLanguageModel() result = model.invoke( - model='gpt-35-turbo-instruct', + model="gpt-35-turbo-instruct", credentials={ - 'openai_api_base': os.environ.get('AZURE_OPENAI_API_BASE'), - 'openai_api_key': os.environ.get('AZURE_OPENAI_API_KEY'), - 'base_model_name': 'gpt-35-turbo-instruct' - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 1 + "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), + "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), + "base_model_name": "gpt-35-turbo-instruct", }, + prompt_messages=[UserPromptMessage(content="Hello World!")], + model_parameters={"temperature": 0.0, "max_tokens": 1}, stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) assert len(result.message.content) > 0 -@pytest.mark.parametrize('setup_openai_mock', [['completion']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True) def test_invoke_stream_completion_model(setup_openai_mock): model = AzureOpenAILargeLanguageModel() result = model.invoke( - model='gpt-35-turbo-instruct', + model="gpt-35-turbo-instruct", credentials={ - 'openai_api_base': os.environ.get('AZURE_OPENAI_API_BASE'), - 'openai_api_key': os.environ.get('AZURE_OPENAI_API_KEY'), - 'base_model_name': 'gpt-35-turbo-instruct' - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 100 + "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), + "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), + "base_model_name": "gpt-35-turbo-instruct", }, + prompt_messages=[UserPromptMessage(content="Hello World!")], + model_parameters={"temperature": 0.0, "max_tokens": 100}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(result, Generator) @@ -122,66 +111,60 @@ def test_invoke_stream_completion_model(setup_openai_mock): assert isinstance(chunk.delta.message, AssistantPromptMessage) assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_invoke_chat_model(setup_openai_mock): model = AzureOpenAILargeLanguageModel() result = model.invoke( - model='gpt35', + model="gpt35", credentials={ - 'openai_api_base': os.environ.get('AZURE_OPENAI_API_BASE'), - 'openai_api_key': os.environ.get('AZURE_OPENAI_API_KEY'), - 'base_model_name': 'gpt-35-turbo' + "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), + "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), + "base_model_name": "gpt-35-turbo", }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], model_parameters={ - 'temperature': 0.0, - 'top_p': 1.0, - 'presence_penalty': 0.0, - 'frequency_penalty': 0.0, - 'max_tokens': 10 + "temperature": 0.0, + "top_p": 1.0, + "presence_penalty": 0.0, + "frequency_penalty": 0.0, + "max_tokens": 10, }, - stop=['How'], + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) assert len(result.message.content) > 0 -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_invoke_stream_chat_model(setup_openai_mock): model = AzureOpenAILargeLanguageModel() result = model.invoke( - model='gpt35', + model="gpt35", credentials={ - 'openai_api_base': os.environ.get('AZURE_OPENAI_API_BASE'), - 'openai_api_key': os.environ.get('AZURE_OPENAI_API_KEY'), - 'base_model_name': 'gpt-35-turbo' + "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), + "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), + "base_model_name": "gpt-35-turbo", }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 100 - }, + model_parameters={"temperature": 0.0, "max_tokens": 100}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(result, Generator) @@ -194,109 +177,87 @@ def test_invoke_stream_chat_model(setup_openai_mock): assert chunk.delta.usage is not None assert chunk.delta.usage.completion_tokens > 0 -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_invoke_chat_model_with_vision(setup_openai_mock): model = AzureOpenAILargeLanguageModel() result = model.invoke( - model='gpt-4v', + model="gpt-4v", credentials={ - 'openai_api_base': os.environ.get('AZURE_OPENAI_API_BASE'), - 'openai_api_key': os.environ.get('AZURE_OPENAI_API_KEY'), - 'base_model_name': 'gpt-4-vision-preview' + "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), + "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), + "base_model_name": "gpt-4-vision-preview", }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), UserPromptMessage( content=[ TextPromptMessageContent( - data='Hello World!', + data="Hello World!", ), ImagePromptMessageContent( - 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' 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" + ), ] - ) + ), ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 100 - }, + model_parameters={"temperature": 0.0, "max_tokens": 100}, stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) assert len(result.message.content) > 0 -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_invoke_chat_model_with_tools(setup_openai_mock): model = AzureOpenAILargeLanguageModel() result = model.invoke( - model='gpt-35-turbo', + model="gpt-35-turbo", credentials={ - 'openai_api_base': os.environ.get('AZURE_OPENAI_API_BASE'), - 'openai_api_key': os.environ.get('AZURE_OPENAI_API_KEY'), - 'base_model_name': 'gpt-35-turbo' + "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), + "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), + "base_model_name": "gpt-35-turbo", }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), UserPromptMessage( content="what's the weather today in London?", - ) + ), ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 100 - }, + model_parameters={"temperature": 0.0, "max_tokens": 100}, tools=[ PromptMessageTool( - name='get_weather', - description='Determine weather in my location', + name="get_weather", + description="Determine weather in my location", parameters={ "type": "object", "properties": { - "location": { - "type": "string", - "description": "The city and state e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": [ - "c", - "f" - ] - } + "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, + "unit": {"type": "string", "enum": ["c", "f"]}, }, - "required": [ - "location" - ] - } + "required": ["location"], + }, ), PromptMessageTool( - name='get_stock_price', - description='Get the current stock price', + name="get_stock_price", + description="Get the current stock price", parameters={ "type": "object", - "properties": { - "symbol": { - "type": "string", - "description": "The stock symbol" - } - }, - "required": [ - "symbol" - ] - } - ) + "properties": {"symbol": {"type": "string", "description": "The stock symbol"}}, + "required": ["symbol"], + }, + ), ], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) @@ -308,32 +269,22 @@ def test_get_num_tokens(): model = AzureOpenAILargeLanguageModel() num_tokens = model.get_num_tokens( - model='gpt-35-turbo-instruct', - credentials={ - 'base_model_name': 'gpt-35-turbo-instruct' - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ] + model="gpt-35-turbo-instruct", + credentials={"base_model_name": "gpt-35-turbo-instruct"}, + prompt_messages=[UserPromptMessage(content="Hello World!")], ) assert num_tokens == 3 num_tokens = model.get_num_tokens( - model='gpt35', - credentials={ - 'base_model_name': 'gpt-35-turbo' - }, + model="gpt35", + credentials={"base_model_name": "gpt-35-turbo"}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert num_tokens == 21 diff --git a/api/tests/integration_tests/model_runtime/azure_openai/test_text_embedding.py b/api/tests/integration_tests/model_runtime/azure_openai/test_text_embedding.py index 8b838eb8fc..a1ae2b2e5b 100644 --- a/api/tests/integration_tests/model_runtime/azure_openai/test_text_embedding.py +++ b/api/tests/integration_tests/model_runtime/azure_openai/test_text_embedding.py @@ -8,45 +8,43 @@ from core.model_runtime.model_providers.azure_openai.text_embedding.text_embeddi from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock -@pytest.mark.parametrize('setup_openai_mock', [['text_embedding']], indirect=True) +@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True) def test_validate_credentials(setup_openai_mock): model = AzureOpenAITextEmbeddingModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='embedding', + model="embedding", credentials={ - 'openai_api_base': os.environ.get('AZURE_OPENAI_API_BASE'), - 'openai_api_key': 'invalid_key', - 'base_model_name': 'text-embedding-ada-002' - } + "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), + "openai_api_key": "invalid_key", + "base_model_name": "text-embedding-ada-002", + }, ) model.validate_credentials( - model='embedding', + model="embedding", credentials={ - 'openai_api_base': os.environ.get('AZURE_OPENAI_API_BASE'), - 'openai_api_key': os.environ.get('AZURE_OPENAI_API_KEY'), - 'base_model_name': 'text-embedding-ada-002' - } + "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), + "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), + "base_model_name": "text-embedding-ada-002", + }, ) -@pytest.mark.parametrize('setup_openai_mock', [['text_embedding']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True) def test_invoke_model(setup_openai_mock): model = AzureOpenAITextEmbeddingModel() result = model.invoke( - model='embedding', + model="embedding", credentials={ - 'openai_api_base': os.environ.get('AZURE_OPENAI_API_BASE'), - 'openai_api_key': os.environ.get('AZURE_OPENAI_API_KEY'), - 'base_model_name': 'text-embedding-ada-002' + "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), + "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), + "base_model_name": "text-embedding-ada-002", }, - texts=[ - "hello", - "world" - ], - user="abc-123" + texts=["hello", "world"], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) @@ -58,14 +56,7 @@ def test_get_num_tokens(): model = AzureOpenAITextEmbeddingModel() num_tokens = model.get_num_tokens( - model='embedding', - credentials={ - 'base_model_name': 'text-embedding-ada-002' - }, - texts=[ - "hello", - "world" - ] + model="embedding", credentials={"base_model_name": "text-embedding-ada-002"}, texts=["hello", "world"] ) assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/baichuan/test_llm.py b/api/tests/integration_tests/model_runtime/baichuan/test_llm.py index 1cae9a6dd0..ad58610287 100644 --- a/api/tests/integration_tests/model_runtime/baichuan/test_llm.py +++ b/api/tests/integration_tests/model_runtime/baichuan/test_llm.py @@ -17,111 +17,99 @@ def test_predefined_models(): assert len(model_schemas) >= 1 assert isinstance(model_schemas[0], AIModelEntity) + def test_validate_credentials_for_chat_model(): sleep(3) model = BaichuanLarguageModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='baichuan2-turbo', - credentials={ - 'api_key': 'invalid_key', - 'secret_key': 'invalid_key' - } + model="baichuan2-turbo", credentials={"api_key": "invalid_key", "secret_key": "invalid_key"} ) model.validate_credentials( - model='baichuan2-turbo', + model="baichuan2-turbo", credentials={ - 'api_key': os.environ.get('BAICHUAN_API_KEY'), - 'secret_key': os.environ.get('BAICHUAN_SECRET_KEY') - } + "api_key": os.environ.get("BAICHUAN_API_KEY"), + "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"), + }, ) + def test_invoke_model(): sleep(3) model = BaichuanLarguageModel() response = model.invoke( - model='baichuan2-turbo', + model="baichuan2-turbo", credentials={ - 'api_key': os.environ.get('BAICHUAN_API_KEY'), - 'secret_key': os.environ.get('BAICHUAN_SECRET_KEY') + "api_key": os.environ.get("BAICHUAN_API_KEY"), + "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"), }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], + prompt_messages=[UserPromptMessage(content="Hello World!")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, - 'top_k': 1, + "temperature": 0.7, + "top_p": 1.0, + "top_k": 1, }, - stop=['you'], + stop=["you"], user="abc-123", - stream=False + stream=False, ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 assert response.usage.total_tokens > 0 + def test_invoke_model_with_system_message(): sleep(3) model = BaichuanLarguageModel() response = model.invoke( - model='baichuan2-turbo', + model="baichuan2-turbo", credentials={ - 'api_key': os.environ.get('BAICHUAN_API_KEY'), - 'secret_key': os.environ.get('BAICHUAN_SECRET_KEY') + "api_key": os.environ.get("BAICHUAN_API_KEY"), + "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"), }, prompt_messages=[ - SystemPromptMessage( - content='请记住你是Kasumi。' - ), - UserPromptMessage( - content='现在告诉我你是谁？' - ) + SystemPromptMessage(content="请记住你是Kasumi。"), + UserPromptMessage(content="现在告诉我你是谁？"), ], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, - 'top_k': 1, + "temperature": 0.7, + "top_p": 1.0, + "top_k": 1, }, - stop=['you'], + stop=["you"], user="abc-123", - stream=False + stream=False, ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 assert response.usage.total_tokens > 0 + def test_invoke_stream_model(): sleep(3) model = BaichuanLarguageModel() response = model.invoke( - model='baichuan2-turbo', + model="baichuan2-turbo", credentials={ - 'api_key': os.environ.get('BAICHUAN_API_KEY'), - 'secret_key': os.environ.get('BAICHUAN_SECRET_KEY') + "api_key": os.environ.get("BAICHUAN_API_KEY"), + "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"), }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], + prompt_messages=[UserPromptMessage(content="Hello World!")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, - 'top_k': 1, + "temperature": 0.7, + "top_p": 1.0, + "top_k": 1, }, - stop=['you'], + stop=["you"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -131,34 +119,31 @@ def test_invoke_stream_model(): assert isinstance(chunk.delta.message, AssistantPromptMessage) assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True + def test_invoke_with_search(): sleep(3) model = BaichuanLarguageModel() response = model.invoke( - model='baichuan2-turbo', + model="baichuan2-turbo", credentials={ - 'api_key': os.environ.get('BAICHUAN_API_KEY'), - 'secret_key': os.environ.get('BAICHUAN_SECRET_KEY') + "api_key": os.environ.get("BAICHUAN_API_KEY"), + "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"), }, - prompt_messages=[ - UserPromptMessage( - content='北京今天的天气怎么样' - ) - ], + prompt_messages=[UserPromptMessage(content="北京今天的天气怎么样")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, - 'top_k': 1, - 'with_search_enhance': True, + "temperature": 0.7, + "top_p": 1.0, + "top_k": 1, + "with_search_enhance": True, }, - stop=['you'], + stop=["you"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) - total_message = '' + total_message = "" for chunk in response: assert isinstance(chunk, LLMResultChunk) assert isinstance(chunk.delta, LLMResultChunkDelta) @@ -166,25 +151,22 @@ def test_invoke_with_search(): assert len(chunk.delta.message.content) > 0 if not chunk.delta.finish_reason else True total_message += chunk.delta.message.content - assert '不' not in total_message + assert "不" not in total_message + def test_get_num_tokens(): sleep(3) model = BaichuanLarguageModel() response = model.get_num_tokens( - model='baichuan2-turbo', + model="baichuan2-turbo", credentials={ - 'api_key': os.environ.get('BAICHUAN_API_KEY'), - 'secret_key': os.environ.get('BAICHUAN_SECRET_KEY') + "api_key": os.environ.get("BAICHUAN_API_KEY"), + "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"), }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - tools=[] + prompt_messages=[UserPromptMessage(content="Hello World!")], + tools=[], ) assert isinstance(response, int) - assert response == 9 \ No newline at end of file + assert response == 9 diff --git a/api/tests/integration_tests/model_runtime/baichuan/test_provider.py b/api/tests/integration_tests/model_runtime/baichuan/test_provider.py index 87b3d9a609..4036edfb7a 100644 --- a/api/tests/integration_tests/model_runtime/baichuan/test_provider.py +++ b/api/tests/integration_tests/model_runtime/baichuan/test_provider.py @@ -10,14 +10,6 @@ def test_validate_provider_credentials(): provider = BaichuanProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={ - 'api_key': 'hahahaha' - } - ) + provider.validate_provider_credentials(credentials={"api_key": "hahahaha"}) - provider.validate_provider_credentials( - credentials={ - 'api_key': os.environ.get('BAICHUAN_API_KEY') - } - ) + provider.validate_provider_credentials(credentials={"api_key": os.environ.get("BAICHUAN_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/baichuan/test_text_embedding.py b/api/tests/integration_tests/model_runtime/baichuan/test_text_embedding.py index 1210ebc53d..cbc63f3978 100644 --- a/api/tests/integration_tests/model_runtime/baichuan/test_text_embedding.py +++ b/api/tests/integration_tests/model_runtime/baichuan/test_text_embedding.py @@ -11,18 +11,10 @@ def test_validate_credentials(): model = BaichuanTextEmbeddingModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='baichuan-text-embedding', - credentials={ - 'api_key': 'invalid_key' - } - ) + model.validate_credentials(model="baichuan-text-embedding", credentials={"api_key": "invalid_key"}) model.validate_credentials( - model='baichuan-text-embedding', - credentials={ - 'api_key': os.environ.get('BAICHUAN_API_KEY') - } + model="baichuan-text-embedding", credentials={"api_key": os.environ.get("BAICHUAN_API_KEY")} ) @@ -30,44 +22,40 @@ def test_invoke_model(): model = BaichuanTextEmbeddingModel() result = model.invoke( - model='baichuan-text-embedding', + model="baichuan-text-embedding", credentials={ - 'api_key': os.environ.get('BAICHUAN_API_KEY'), + "api_key": os.environ.get("BAICHUAN_API_KEY"), }, - texts=[ - "hello", - "world" - ], - user="abc-123" + texts=["hello", "world"], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) assert len(result.embeddings) == 2 assert result.usage.total_tokens == 6 + def test_get_num_tokens(): model = BaichuanTextEmbeddingModel() num_tokens = model.get_num_tokens( - model='baichuan-text-embedding', + model="baichuan-text-embedding", credentials={ - 'api_key': os.environ.get('BAICHUAN_API_KEY'), + "api_key": os.environ.get("BAICHUAN_API_KEY"), }, - texts=[ - "hello", - "world" - ] + texts=["hello", "world"], ) assert num_tokens == 2 + def test_max_chunks(): model = BaichuanTextEmbeddingModel() result = model.invoke( - model='baichuan-text-embedding', + model="baichuan-text-embedding", credentials={ - 'api_key': os.environ.get('BAICHUAN_API_KEY'), + "api_key": os.environ.get("BAICHUAN_API_KEY"), }, texts=[ "hello", @@ -92,8 +80,8 @@ def test_max_chunks(): "world", "hello", "world", - ] + ], ) assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 22 \ No newline at end of file + assert len(result.embeddings) == 22 diff --git a/api/tests/integration_tests/model_runtime/bedrock/test_llm.py b/api/tests/integration_tests/model_runtime/bedrock/test_llm.py index 20dc11151a..c19ec35a6e 100644 --- a/api/tests/integration_tests/model_runtime/bedrock/test_llm.py +++ b/api/tests/integration_tests/model_runtime/bedrock/test_llm.py @@ -13,77 +13,63 @@ def test_validate_credentials(): model = BedrockLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='meta.llama2-13b-chat-v1', - credentials={ - 'anthropic_api_key': 'invalid_key' - } - ) + model.validate_credentials(model="meta.llama2-13b-chat-v1", credentials={"anthropic_api_key": "invalid_key"}) model.validate_credentials( - model='meta.llama2-13b-chat-v1', + model="meta.llama2-13b-chat-v1", credentials={ "aws_region": os.getenv("AWS_REGION"), "aws_access_key": os.getenv("AWS_ACCESS_KEY"), - "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY") - } + "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"), + }, ) + def test_invoke_model(): model = BedrockLargeLanguageModel() response = model.invoke( - model='meta.llama2-13b-chat-v1', + model="meta.llama2-13b-chat-v1", credentials={ "aws_region": os.getenv("AWS_REGION"), "aws_access_key": os.getenv("AWS_ACCESS_KEY"), - "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY") + "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"), }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], - model_parameters={ - 'temperature': 0.0, - 'top_p': 1.0, - 'max_tokens_to_sample': 10 - }, - stop=['How'], + model_parameters={"temperature": 0.0, "top_p": 1.0, "max_tokens_to_sample": 10}, + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 + def test_invoke_stream_model(): model = BedrockLargeLanguageModel() response = model.invoke( - model='meta.llama2-13b-chat-v1', + model="meta.llama2-13b-chat-v1", credentials={ "aws_region": os.getenv("AWS_REGION"), "aws_access_key": os.getenv("AWS_ACCESS_KEY"), - "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY") + "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"), }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens_to_sample': 100 - }, + model_parameters={"temperature": 0.0, "max_tokens_to_sample": 100}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -100,20 +86,18 @@ def test_get_num_tokens(): model = BedrockLargeLanguageModel() num_tokens = model.get_num_tokens( - model='meta.llama2-13b-chat-v1', - credentials = { + model="meta.llama2-13b-chat-v1", + credentials={ "aws_region": os.getenv("AWS_REGION"), "aws_access_key": os.getenv("AWS_ACCESS_KEY"), - "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY") + "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"), }, messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert num_tokens == 18 diff --git a/api/tests/integration_tests/model_runtime/bedrock/test_provider.py b/api/tests/integration_tests/model_runtime/bedrock/test_provider.py index e53d4c1db2..080727829e 100644 --- a/api/tests/integration_tests/model_runtime/bedrock/test_provider.py +++ b/api/tests/integration_tests/model_runtime/bedrock/test_provider.py @@ -10,14 +10,12 @@ def test_validate_provider_credentials(): provider = BedrockProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={} - ) + provider.validate_provider_credentials(credentials={}) provider.validate_provider_credentials( credentials={ "aws_region": os.getenv("AWS_REGION"), "aws_access_key": os.getenv("AWS_ACCESS_KEY"), - "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY") + "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"), } ) diff --git a/api/tests/integration_tests/model_runtime/chatglm/test_llm.py b/api/tests/integration_tests/model_runtime/chatglm/test_llm.py index e32f01a315..418e88874d 100644 --- a/api/tests/integration_tests/model_runtime/chatglm/test_llm.py +++ b/api/tests/integration_tests/model_runtime/chatglm/test_llm.py @@ -23,79 +23,64 @@ def test_predefined_models(): assert len(model_schemas) >= 1 assert isinstance(model_schemas[0], AIModelEntity) -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_validate_credentials_for_chat_model(setup_openai_mock): model = ChatGLMLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='chatglm2-6b', - credentials={ - 'api_base': 'invalid_key' - } - ) + model.validate_credentials(model="chatglm2-6b", credentials={"api_base": "invalid_key"}) - model.validate_credentials( - model='chatglm2-6b', - credentials={ - 'api_base': os.environ.get('CHATGLM_API_BASE') - } - ) + model.validate_credentials(model="chatglm2-6b", credentials={"api_base": os.environ.get("CHATGLM_API_BASE")}) -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_invoke_model(setup_openai_mock): model = ChatGLMLargeLanguageModel() response = model.invoke( - model='chatglm2-6b', - credentials={ - 'api_base': os.environ.get('CHATGLM_API_BASE') - }, + model="chatglm2-6b", + credentials={"api_base": os.environ.get("CHATGLM_API_BASE")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, + "temperature": 0.7, + "top_p": 1.0, }, - stop=['you'], + stop=["you"], user="abc-123", - stream=False + stream=False, ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 assert response.usage.total_tokens > 0 -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_invoke_stream_model(setup_openai_mock): model = ChatGLMLargeLanguageModel() response = model.invoke( - model='chatglm2-6b', - credentials={ - 'api_base': os.environ.get('CHATGLM_API_BASE') - }, + model="chatglm2-6b", + credentials={"api_base": os.environ.get("CHATGLM_API_BASE")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, + "temperature": 0.7, + "top_p": 1.0, }, - stop=['you'], + stop=["you"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -105,56 +90,45 @@ def test_invoke_stream_model(setup_openai_mock): assert isinstance(chunk.delta.message, AssistantPromptMessage) assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_invoke_stream_model_with_functions(setup_openai_mock): model = ChatGLMLargeLanguageModel() response = model.invoke( - model='chatglm3-6b', - credentials={ - 'api_base': os.environ.get('CHATGLM_API_BASE') - }, + model="chatglm3-6b", + credentials={"api_base": os.environ.get("CHATGLM_API_BASE")}, prompt_messages=[ SystemPromptMessage( - content='你是一个天气机器人，你不知道今天的天气怎么样，你需要通过调用一个函数来获取天气信息。' + content="你是一个天气机器人，你不知道今天的天气怎么样，你需要通过调用一个函数来获取天气信息。" ), - UserPromptMessage( - content='波士顿天气如何？' - ) + UserPromptMessage(content="波士顿天气如何？"), ], model_parameters={ - 'temperature': 0, - 'top_p': 1.0, + "temperature": 0, + "top_p": 1.0, }, - stop=['you'], - user='abc-123', + stop=["you"], + user="abc-123", stream=True, tools=[ PromptMessageTool( - name='get_current_weather', - description='Get the current weather in a given location', + name="get_current_weather", + description="Get the current weather in a given location", parameters={ "type": "object", "properties": { - "location": { - "type": "string", - "description": "The city and state e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": ["celsius", "fahrenheit"] - } + "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, + "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, }, - "required": [ - "location" - ] - } + "required": ["location"], + }, ) - ] + ], ) assert isinstance(response, Generator) - + call: LLMResultChunk = None chunks = [] @@ -170,122 +144,87 @@ def test_invoke_stream_model_with_functions(setup_openai_mock): break assert call is not None - assert call.delta.message.tool_calls[0].function.name == 'get_current_weather' + assert call.delta.message.tool_calls[0].function.name == "get_current_weather" -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_invoke_model_with_functions(setup_openai_mock): model = ChatGLMLargeLanguageModel() response = model.invoke( - model='chatglm3-6b', - credentials={ - 'api_base': os.environ.get('CHATGLM_API_BASE') - }, - prompt_messages=[ - UserPromptMessage( - content='What is the weather like in San Francisco?' - ) - ], + model="chatglm3-6b", + credentials={"api_base": os.environ.get("CHATGLM_API_BASE")}, + prompt_messages=[UserPromptMessage(content="What is the weather like in San Francisco?")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, + "temperature": 0.7, + "top_p": 1.0, }, - stop=['you'], - user='abc-123', + stop=["you"], + user="abc-123", stream=False, tools=[ PromptMessageTool( - name='get_current_weather', - description='Get the current weather in a given location', + name="get_current_weather", + description="Get the current weather in a given location", parameters={ "type": "object", "properties": { - "location": { - "type": "string", - "description": "The city and state e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": [ - "c", - "f" - ] - } + "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, + "unit": {"type": "string", "enum": ["c", "f"]}, }, - "required": [ - "location" - ] - } + "required": ["location"], + }, ) - ] + ], ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 assert response.usage.total_tokens > 0 - assert response.message.tool_calls[0].function.name == 'get_current_weather' + assert response.message.tool_calls[0].function.name == "get_current_weather" def test_get_num_tokens(): model = ChatGLMLargeLanguageModel() num_tokens = model.get_num_tokens( - model='chatglm2-6b', - credentials={ - 'api_base': os.environ.get('CHATGLM_API_BASE') - }, + model="chatglm2-6b", + credentials={"api_base": os.environ.get("CHATGLM_API_BASE")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], tools=[ PromptMessageTool( - name='get_current_weather', - description='Get the current weather in a given location', + name="get_current_weather", + description="Get the current weather in a given location", parameters={ "type": "object", "properties": { - "location": { - "type": "string", - "description": "The city and state e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": [ - "c", - "f" - ] - } + "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, + "unit": {"type": "string", "enum": ["c", "f"]}, }, - "required": [ - "location" - ] - } + "required": ["location"], + }, ) - ] + ], ) assert isinstance(num_tokens, int) assert num_tokens == 77 num_tokens = model.get_num_tokens( - model='chatglm2-6b', - credentials={ - 'api_base': os.environ.get('CHATGLM_API_BASE') - }, + model="chatglm2-6b", + credentials={"api_base": os.environ.get("CHATGLM_API_BASE")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], ) assert isinstance(num_tokens, int) - assert num_tokens == 21 \ No newline at end of file + assert num_tokens == 21 diff --git a/api/tests/integration_tests/model_runtime/chatglm/test_provider.py b/api/tests/integration_tests/model_runtime/chatglm/test_provider.py index e9c5c4da75..7907805d07 100644 --- a/api/tests/integration_tests/model_runtime/chatglm/test_provider.py +++ b/api/tests/integration_tests/model_runtime/chatglm/test_provider.py @@ -7,19 +7,11 @@ from core.model_runtime.model_providers.chatglm.chatglm import ChatGLMProvider from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_validate_provider_credentials(setup_openai_mock): provider = ChatGLMProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={ - 'api_base': 'hahahaha' - } - ) + provider.validate_provider_credentials(credentials={"api_base": "hahahaha"}) - provider.validate_provider_credentials( - credentials={ - 'api_base': os.environ.get('CHATGLM_API_BASE') - } - ) + provider.validate_provider_credentials(credentials={"api_base": os.environ.get("CHATGLM_API_BASE")}) diff --git a/api/tests/integration_tests/model_runtime/cohere/test_llm.py b/api/tests/integration_tests/model_runtime/cohere/test_llm.py index 5ce4f8ecfe..b7f707e935 100644 --- a/api/tests/integration_tests/model_runtime/cohere/test_llm.py +++ b/api/tests/integration_tests/model_runtime/cohere/test_llm.py @@ -13,87 +13,49 @@ def test_validate_credentials_for_chat_model(): model = CohereLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='command-light-chat', - credentials={ - 'api_key': 'invalid_key' - } - ) + model.validate_credentials(model="command-light-chat", credentials={"api_key": "invalid_key"}) - model.validate_credentials( - model='command-light-chat', - credentials={ - 'api_key': os.environ.get('COHERE_API_KEY') - } - ) + model.validate_credentials(model="command-light-chat", credentials={"api_key": os.environ.get("COHERE_API_KEY")}) def test_validate_credentials_for_completion_model(): model = CohereLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='command-light', - credentials={ - 'api_key': 'invalid_key' - } - ) + model.validate_credentials(model="command-light", credentials={"api_key": "invalid_key"}) - model.validate_credentials( - model='command-light', - credentials={ - 'api_key': os.environ.get('COHERE_API_KEY') - } - ) + model.validate_credentials(model="command-light", credentials={"api_key": os.environ.get("COHERE_API_KEY")}) def test_invoke_completion_model(): model = CohereLargeLanguageModel() - credentials = { - 'api_key': os.environ.get('COHERE_API_KEY') - } + credentials = {"api_key": os.environ.get("COHERE_API_KEY")} result = model.invoke( - model='command-light', + model="command-light", credentials=credentials, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 1 - }, + prompt_messages=[UserPromptMessage(content="Hello World!")], + model_parameters={"temperature": 0.0, "max_tokens": 1}, stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) assert len(result.message.content) > 0 - assert model._num_tokens_from_string('command-light', credentials, result.message.content) == 1 + assert model._num_tokens_from_string("command-light", credentials, result.message.content) == 1 def test_invoke_stream_completion_model(): model = CohereLargeLanguageModel() result = model.invoke( - model='command-light', - credentials={ - 'api_key': os.environ.get('COHERE_API_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 100 - }, + model="command-light", + credentials={"api_key": os.environ.get("COHERE_API_KEY")}, + prompt_messages=[UserPromptMessage(content="Hello World!")], + model_parameters={"temperature": 0.0, "max_tokens": 100}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(result, Generator) @@ -109,28 +71,24 @@ def test_invoke_chat_model(): model = CohereLargeLanguageModel() result = model.invoke( - model='command-light-chat', - credentials={ - 'api_key': os.environ.get('COHERE_API_KEY') - }, + model="command-light-chat", + credentials={"api_key": os.environ.get("COHERE_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], model_parameters={ - 'temperature': 0.0, - 'p': 0.99, - 'presence_penalty': 0.0, - 'frequency_penalty': 0.0, - 'max_tokens': 10 + "temperature": 0.0, + "p": 0.99, + "presence_penalty": 0.0, + "frequency_penalty": 0.0, + "max_tokens": 10, }, - stop=['How'], + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) @@ -141,24 +99,17 @@ def test_invoke_stream_chat_model(): model = CohereLargeLanguageModel() result = model.invoke( - model='command-light-chat', - credentials={ - 'api_key': os.environ.get('COHERE_API_KEY') - }, + model="command-light-chat", + credentials={"api_key": os.environ.get("COHERE_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 100 - }, + model_parameters={"temperature": 0.0, "max_tokens": 100}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(result, Generator) @@ -177,32 +128,22 @@ def test_get_num_tokens(): model = CohereLargeLanguageModel() num_tokens = model.get_num_tokens( - model='command-light', - credentials={ - 'api_key': os.environ.get('COHERE_API_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ] + model="command-light", + credentials={"api_key": os.environ.get("COHERE_API_KEY")}, + prompt_messages=[UserPromptMessage(content="Hello World!")], ) assert num_tokens == 3 num_tokens = model.get_num_tokens( - model='command-light-chat', - credentials={ - 'api_key': os.environ.get('COHERE_API_KEY') - }, + model="command-light-chat", + credentials={"api_key": os.environ.get("COHERE_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert num_tokens == 15 @@ -213,25 +154,17 @@ def test_fine_tuned_model(): # test invoke result = model.invoke( - model='85ec47be-6139-4f75-a4be-0f0ec1ef115c-ft', - credentials={ - 'api_key': os.environ.get('COHERE_API_KEY'), - 'mode': 'completion' - }, + model="85ec47be-6139-4f75-a4be-0f0ec1ef115c-ft", + credentials={"api_key": os.environ.get("COHERE_API_KEY"), "mode": "completion"}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 100 - }, + model_parameters={"temperature": 0.0, "max_tokens": 100}, stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) @@ -242,25 +175,17 @@ def test_fine_tuned_chat_model(): # test invoke result = model.invoke( - model='94f2d55a-4c79-4c00-bde4-23962e74b170-ft', - credentials={ - 'api_key': os.environ.get('COHERE_API_KEY'), - 'mode': 'chat' - }, + model="94f2d55a-4c79-4c00-bde4-23962e74b170-ft", + credentials={"api_key": os.environ.get("COHERE_API_KEY"), "mode": "chat"}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 100 - }, + model_parameters={"temperature": 0.0, "max_tokens": 100}, stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) diff --git a/api/tests/integration_tests/model_runtime/cohere/test_provider.py b/api/tests/integration_tests/model_runtime/cohere/test_provider.py index a8f56b6194..fb7e6d3498 100644 --- a/api/tests/integration_tests/model_runtime/cohere/test_provider.py +++ b/api/tests/integration_tests/model_runtime/cohere/test_provider.py @@ -10,12 +10,6 @@ def test_validate_provider_credentials(): provider = CohereProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={} - ) + provider.validate_provider_credentials(credentials={}) - provider.validate_provider_credentials( - credentials={ - 'api_key': os.environ.get('COHERE_API_KEY') - } - ) + provider.validate_provider_credentials(credentials={"api_key": os.environ.get("COHERE_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/cohere/test_rerank.py b/api/tests/integration_tests/model_runtime/cohere/test_rerank.py index 415c5fbfda..a1b6922128 100644 --- a/api/tests/integration_tests/model_runtime/cohere/test_rerank.py +++ b/api/tests/integration_tests/model_runtime/cohere/test_rerank.py @@ -11,29 +11,17 @@ def test_validate_credentials(): model = CohereRerankModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='rerank-english-v2.0', - credentials={ - 'api_key': 'invalid_key' - } - ) + model.validate_credentials(model="rerank-english-v2.0", credentials={"api_key": "invalid_key"}) - model.validate_credentials( - model='rerank-english-v2.0', - credentials={ - 'api_key': os.environ.get('COHERE_API_KEY') - } - ) + model.validate_credentials(model="rerank-english-v2.0", credentials={"api_key": os.environ.get("COHERE_API_KEY")}) def test_invoke_model(): model = CohereRerankModel() result = model.invoke( - model='rerank-english-v2.0', - credentials={ - 'api_key': os.environ.get('COHERE_API_KEY') - }, + model="rerank-english-v2.0", + credentials={"api_key": os.environ.get("COHERE_API_KEY")}, query="What is the capital of the United States?", docs=[ "Carson City is the capital city of the American state of Nevada. At the 2010 United States " @@ -41,9 +29,9 @@ def test_invoke_model(): "Washington, D.C. (also known as simply Washington or D.C., and officially as the District of Columbia) " "is the capital of the United States. It is a federal district. The President of the USA and many major " "national government offices are in the territory. This makes it the political center of the United " - "States of America." + "States of America.", ], - score_threshold=0.8 + score_threshold=0.8, ) assert isinstance(result, RerankResult) diff --git a/api/tests/integration_tests/model_runtime/cohere/test_text_embedding.py b/api/tests/integration_tests/model_runtime/cohere/test_text_embedding.py index 5017ba47e1..ae26d36635 100644 --- a/api/tests/integration_tests/model_runtime/cohere/test_text_embedding.py +++ b/api/tests/integration_tests/model_runtime/cohere/test_text_embedding.py @@ -11,18 +11,10 @@ def test_validate_credentials(): model = CohereTextEmbeddingModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='embed-multilingual-v3.0', - credentials={ - 'api_key': 'invalid_key' - } - ) + model.validate_credentials(model="embed-multilingual-v3.0", credentials={"api_key": "invalid_key"}) model.validate_credentials( - model='embed-multilingual-v3.0', - credentials={ - 'api_key': os.environ.get('COHERE_API_KEY') - } + model="embed-multilingual-v3.0", credentials={"api_key": os.environ.get("COHERE_API_KEY")} ) @@ -30,17 +22,10 @@ def test_invoke_model(): model = CohereTextEmbeddingModel() result = model.invoke( - model='embed-multilingual-v3.0', - credentials={ - 'api_key': os.environ.get('COHERE_API_KEY') - }, - texts=[ - "hello", - "world", - " ".join(["long_text"] * 100), - " ".join(["another_long_text"] * 100) - ], - user="abc-123" + model="embed-multilingual-v3.0", + credentials={"api_key": os.environ.get("COHERE_API_KEY")}, + texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) @@ -52,14 +37,9 @@ def test_get_num_tokens(): model = CohereTextEmbeddingModel() num_tokens = model.get_num_tokens( - model='embed-multilingual-v3.0', - credentials={ - 'api_key': os.environ.get('COHERE_API_KEY') - }, - texts=[ - "hello", - "world" - ] + model="embed-multilingual-v3.0", + credentials={"api_key": os.environ.get("COHERE_API_KEY")}, + texts=["hello", "world"], ) assert num_tokens == 3 diff --git a/api/tests/integration_tests/model_runtime/google/test_llm.py b/api/tests/integration_tests/model_runtime/google/test_llm.py index 00d907d19e..4d9d490a87 100644 --- a/api/tests/integration_tests/model_runtime/google/test_llm.py +++ b/api/tests/integration_tests/model_runtime/google/test_llm.py @@ -16,103 +16,73 @@ from core.model_runtime.model_providers.google.llm.llm import GoogleLargeLanguag from tests.integration_tests.model_runtime.__mock.google import setup_google_mock -@pytest.mark.parametrize('setup_google_mock', [['none']], indirect=True) +@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True) def test_validate_credentials(setup_google_mock): model = GoogleLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='gemini-pro', - credentials={ - 'google_api_key': 'invalid_key' - } - ) + model.validate_credentials(model="gemini-pro", credentials={"google_api_key": "invalid_key"}) - model.validate_credentials( - model='gemini-pro', - credentials={ - 'google_api_key': os.environ.get('GOOGLE_API_KEY') - } - ) + model.validate_credentials(model="gemini-pro", credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")}) -@pytest.mark.parametrize('setup_google_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True) def test_invoke_model(setup_google_mock): model = GoogleLargeLanguageModel() response = model.invoke( - model='gemini-pro', - credentials={ - 'google_api_key': os.environ.get('GOOGLE_API_KEY') - }, + model="gemini-pro", + credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', - ), - UserPromptMessage( - content='Give me your worst dad joke or i will unplug you' + content="You are a helpful AI assistant.", ), + UserPromptMessage(content="Give me your worst dad joke or i will unplug you"), AssistantPromptMessage( - content='Why did the scarecrow win an award? Because he was outstanding in his field!' + content="Why did the scarecrow win an award? Because he was outstanding in his field!" ), UserPromptMessage( content=[ - TextPromptMessageContent( - data="ok something snarkier pls" - ), - TextPromptMessageContent( - data="i may still unplug you" - )] - ) + TextPromptMessageContent(data="ok something snarkier pls"), + TextPromptMessageContent(data="i may still unplug you"), + ] + ), ], - model_parameters={ - 'temperature': 0.5, - 'top_p': 1.0, - 'max_tokens_to_sample': 2048 - }, - stop=['How'], + model_parameters={"temperature": 0.5, "top_p": 1.0, "max_tokens_to_sample": 2048}, + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 -@pytest.mark.parametrize('setup_google_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True) def test_invoke_stream_model(setup_google_mock): model = GoogleLargeLanguageModel() response = model.invoke( - model='gemini-pro', - credentials={ - 'google_api_key': os.environ.get('GOOGLE_API_KEY') - }, + model="gemini-pro", + credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', - ), - UserPromptMessage( - content='Give me your worst dad joke or i will unplug you' + content="You are a helpful AI assistant.", ), + UserPromptMessage(content="Give me your worst dad joke or i will unplug you"), AssistantPromptMessage( - content='Why did the scarecrow win an award? Because he was outstanding in his field!' + content="Why did the scarecrow win an award? Because he was outstanding in his field!" ), UserPromptMessage( content=[ - TextPromptMessageContent( - data="ok something snarkier pls" - ), - TextPromptMessageContent( - data="i may still unplug you" - )] - ) + TextPromptMessageContent(data="ok something snarkier pls"), + TextPromptMessageContent(data="i may still unplug you"), + ] + ), ], - model_parameters={ - 'temperature': 0.2, - 'top_k': 5, - 'max_tokens_to_sample': 2048 - }, + model_parameters={"temperature": 0.2, "top_k": 5, "max_tokens_to_sample": 2048}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -123,88 +93,66 @@ def test_invoke_stream_model(setup_google_mock): assert isinstance(chunk.delta.message, AssistantPromptMessage) assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True -@pytest.mark.parametrize('setup_google_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True) def test_invoke_chat_model_with_vision(setup_google_mock): model = GoogleLargeLanguageModel() result = model.invoke( - model='gemini-pro-vision', - credentials={ - 'google_api_key': os.environ.get('GOOGLE_API_KEY') - }, + model="gemini-pro-vision", + credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), UserPromptMessage( - content=[ - TextPromptMessageContent( - data="what do you see?" - ), + content=[ + TextPromptMessageContent(data="what do you see?"), ImagePromptMessageContent( - 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' 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" + ), ] - ) + ), ], - model_parameters={ - 'temperature': 0.3, - 'top_p': 0.2, - 'top_k': 3, - 'max_tokens': 100 - }, + model_parameters={"temperature": 0.3, "top_p": 0.2, "top_k": 3, "max_tokens": 100}, stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) assert len(result.message.content) > 0 -@pytest.mark.parametrize('setup_google_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True) def test_invoke_chat_model_with_vision_multi_pics(setup_google_mock): model = GoogleLargeLanguageModel() result = model.invoke( - model='gemini-pro-vision', - credentials={ - 'google_api_key': os.environ.get('GOOGLE_API_KEY') - }, + model="gemini-pro-vision", + credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")}, prompt_messages=[ - SystemPromptMessage( - content='You are a helpful AI assistant.' - ), - UserPromptMessage( - content=[ - TextPromptMessageContent( - data="what do you see?" - ), - ImagePromptMessageContent( - 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' - ) - ] - ), - AssistantPromptMessage( - content="I see a blue letter 'D' with a gradient from light blue to dark blue." - ), + SystemPromptMessage(content="You are a helpful AI assistant."), UserPromptMessage( content=[ - TextPromptMessageContent( - data="what about now?" - ), + TextPromptMessageContent(data="what do you see?"), ImagePromptMessageContent( - 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" + ), ] - ) + ), + AssistantPromptMessage(content="I see a blue letter 'D' with a gradient from light blue to dark blue."), + UserPromptMessage( + content=[ + TextPromptMessageContent(data="what about now?"), + ImagePromptMessageContent( + data="data:image/png;base64,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" + ), + ] + ), ], - model_parameters={ - 'temperature': 0.3, - 'top_p': 0.2, - 'top_k': 3, - 'max_tokens': 100 - }, + model_parameters={"temperature": 0.3, "top_p": 0.2, "top_k": 3, "max_tokens": 100}, stream=False, - user="abc-123" + user="abc-123", ) print(f"resultz: {result.message.content}") @@ -212,23 +160,18 @@ def test_invoke_chat_model_with_vision_multi_pics(setup_google_mock): assert len(result.message.content) > 0 - def test_get_num_tokens(): model = GoogleLargeLanguageModel() num_tokens = model.get_num_tokens( - model='gemini-pro', - credentials={ - 'google_api_key': os.environ.get('GOOGLE_API_KEY') - }, + model="gemini-pro", + credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert num_tokens > 0 # The exact number of tokens may vary based on the model's tokenization diff --git a/api/tests/integration_tests/model_runtime/google/test_provider.py b/api/tests/integration_tests/model_runtime/google/test_provider.py index 103107ed5a..c217e4fe05 100644 --- a/api/tests/integration_tests/model_runtime/google/test_provider.py +++ b/api/tests/integration_tests/model_runtime/google/test_provider.py @@ -7,17 +7,11 @@ from core.model_runtime.model_providers.google.google import GoogleProvider from tests.integration_tests.model_runtime.__mock.google import setup_google_mock -@pytest.mark.parametrize('setup_google_mock', [['none']], indirect=True) +@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True) def test_validate_provider_credentials(setup_google_mock): provider = GoogleProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={} - ) + provider.validate_provider_credentials(credentials={}) - provider.validate_provider_credentials( - credentials={ - 'google_api_key': os.environ.get('GOOGLE_API_KEY') - } - ) + provider.validate_provider_credentials(credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py b/api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py index 28cd0955b3..6a6cc874fa 100644 --- a/api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py +++ b/api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py @@ -10,87 +10,75 @@ from core.model_runtime.model_providers.huggingface_hub.llm.llm import Huggingfa from tests.integration_tests.model_runtime.__mock.huggingface import setup_huggingface_mock -@pytest.mark.parametrize('setup_huggingface_mock', [['none']], indirect=True) +@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) def test_hosted_inference_api_validate_credentials(setup_huggingface_mock): model = HuggingfaceHubLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='HuggingFaceH4/zephyr-7b-beta', - credentials={ - 'huggingfacehub_api_type': 'hosted_inference_api', - 'huggingfacehub_api_token': 'invalid_key' - } + model="HuggingFaceH4/zephyr-7b-beta", + credentials={"huggingfacehub_api_type": "hosted_inference_api", "huggingfacehub_api_token": "invalid_key"}, ) with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='fake-model', - credentials={ - 'huggingfacehub_api_type': 'hosted_inference_api', - 'huggingfacehub_api_token': 'invalid_key' - } + model="fake-model", + credentials={"huggingfacehub_api_type": "hosted_inference_api", "huggingfacehub_api_token": "invalid_key"}, ) model.validate_credentials( - model='HuggingFaceH4/zephyr-7b-beta', + model="HuggingFaceH4/zephyr-7b-beta", credentials={ - 'huggingfacehub_api_type': 'hosted_inference_api', - 'huggingfacehub_api_token': os.environ.get('HUGGINGFACE_API_KEY') - } + "huggingfacehub_api_type": "hosted_inference_api", + "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), + }, ) -@pytest.mark.parametrize('setup_huggingface_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) def test_hosted_inference_api_invoke_model(setup_huggingface_mock): model = HuggingfaceHubLargeLanguageModel() response = model.invoke( - model='HuggingFaceH4/zephyr-7b-beta', + model="HuggingFaceH4/zephyr-7b-beta", credentials={ - 'huggingfacehub_api_type': 'hosted_inference_api', - 'huggingfacehub_api_token': os.environ.get('HUGGINGFACE_API_KEY') + "huggingfacehub_api_type": "hosted_inference_api", + "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), }, - prompt_messages=[ - UserPromptMessage( - content='Who are you?' - ) - ], + prompt_messages=[UserPromptMessage(content="Who are you?")], model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, + "temperature": 1.0, + "top_k": 2, + "top_p": 0.5, }, - stop=['How'], + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 -@pytest.mark.parametrize('setup_huggingface_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) def test_hosted_inference_api_invoke_stream_model(setup_huggingface_mock): model = HuggingfaceHubLargeLanguageModel() response = model.invoke( - model='HuggingFaceH4/zephyr-7b-beta', + model="HuggingFaceH4/zephyr-7b-beta", credentials={ - 'huggingfacehub_api_type': 'hosted_inference_api', - 'huggingfacehub_api_token': os.environ.get('HUGGINGFACE_API_KEY') + "huggingfacehub_api_type": "hosted_inference_api", + "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), }, - prompt_messages=[ - UserPromptMessage( - content='Who are you?' - ) - ], + prompt_messages=[UserPromptMessage(content="Who are you?")], model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, + "temperature": 1.0, + "top_k": 2, + "top_p": 0.5, }, - stop=['How'], + stop=["How"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -101,86 +89,81 @@ def test_hosted_inference_api_invoke_stream_model(setup_huggingface_mock): assert isinstance(chunk.delta.message, AssistantPromptMessage) assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True -@pytest.mark.parametrize('setup_huggingface_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) def test_inference_endpoints_text_generation_validate_credentials(setup_huggingface_mock): model = HuggingfaceHubLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='openchat/openchat_3.5', + model="openchat/openchat_3.5", credentials={ - 'huggingfacehub_api_type': 'inference_endpoints', - 'huggingfacehub_api_token': 'invalid_key', - 'huggingfacehub_endpoint_url': os.environ.get('HUGGINGFACE_TEXT_GEN_ENDPOINT_URL'), - 'task_type': 'text-generation' - } + "huggingfacehub_api_type": "inference_endpoints", + "huggingfacehub_api_token": "invalid_key", + "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT_GEN_ENDPOINT_URL"), + "task_type": "text-generation", + }, ) model.validate_credentials( - model='openchat/openchat_3.5', + model="openchat/openchat_3.5", credentials={ - 'huggingfacehub_api_type': 'inference_endpoints', - 'huggingfacehub_api_token': os.environ.get('HUGGINGFACE_API_KEY'), - 'huggingfacehub_endpoint_url': os.environ.get('HUGGINGFACE_TEXT_GEN_ENDPOINT_URL'), - 'task_type': 'text-generation' - } + "huggingfacehub_api_type": "inference_endpoints", + "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), + "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT_GEN_ENDPOINT_URL"), + "task_type": "text-generation", + }, ) -@pytest.mark.parametrize('setup_huggingface_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) def test_inference_endpoints_text_generation_invoke_model(setup_huggingface_mock): model = HuggingfaceHubLargeLanguageModel() response = model.invoke( - model='openchat/openchat_3.5', + model="openchat/openchat_3.5", credentials={ - 'huggingfacehub_api_type': 'inference_endpoints', - 'huggingfacehub_api_token': os.environ.get('HUGGINGFACE_API_KEY'), - 'huggingfacehub_endpoint_url': os.environ.get('HUGGINGFACE_TEXT_GEN_ENDPOINT_URL'), - 'task_type': 'text-generation' + "huggingfacehub_api_type": "inference_endpoints", + "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), + "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT_GEN_ENDPOINT_URL"), + "task_type": "text-generation", }, - prompt_messages=[ - UserPromptMessage( - content='Who are you?' - ) - ], + prompt_messages=[UserPromptMessage(content="Who are you?")], model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, + "temperature": 1.0, + "top_k": 2, + "top_p": 0.5, }, - stop=['How'], + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 -@pytest.mark.parametrize('setup_huggingface_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) def test_inference_endpoints_text_generation_invoke_stream_model(setup_huggingface_mock): model = HuggingfaceHubLargeLanguageModel() response = model.invoke( - model='openchat/openchat_3.5', + model="openchat/openchat_3.5", credentials={ - 'huggingfacehub_api_type': 'inference_endpoints', - 'huggingfacehub_api_token': os.environ.get('HUGGINGFACE_API_KEY'), - 'huggingfacehub_endpoint_url': os.environ.get('HUGGINGFACE_TEXT_GEN_ENDPOINT_URL'), - 'task_type': 'text-generation' + "huggingfacehub_api_type": "inference_endpoints", + "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), + "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT_GEN_ENDPOINT_URL"), + "task_type": "text-generation", }, - prompt_messages=[ - UserPromptMessage( - content='Who are you?' - ) - ], + prompt_messages=[UserPromptMessage(content="Who are you?")], model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, + "temperature": 1.0, + "top_k": 2, + "top_p": 0.5, }, - stop=['How'], + stop=["How"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -191,86 +174,81 @@ def test_inference_endpoints_text_generation_invoke_stream_model(setup_huggingfa assert isinstance(chunk.delta.message, AssistantPromptMessage) assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True -@pytest.mark.parametrize('setup_huggingface_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) def test_inference_endpoints_text2text_generation_validate_credentials(setup_huggingface_mock): model = HuggingfaceHubLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='google/mt5-base', + model="google/mt5-base", credentials={ - 'huggingfacehub_api_type': 'inference_endpoints', - 'huggingfacehub_api_token': 'invalid_key', - 'huggingfacehub_endpoint_url': os.environ.get('HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL'), - 'task_type': 'text2text-generation' - } + "huggingfacehub_api_type": "inference_endpoints", + "huggingfacehub_api_token": "invalid_key", + "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL"), + "task_type": "text2text-generation", + }, ) model.validate_credentials( - model='google/mt5-base', + model="google/mt5-base", credentials={ - 'huggingfacehub_api_type': 'inference_endpoints', - 'huggingfacehub_api_token': os.environ.get('HUGGINGFACE_API_KEY'), - 'huggingfacehub_endpoint_url': os.environ.get('HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL'), - 'task_type': 'text2text-generation' - } + "huggingfacehub_api_type": "inference_endpoints", + "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), + "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL"), + "task_type": "text2text-generation", + }, ) -@pytest.mark.parametrize('setup_huggingface_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) def test_inference_endpoints_text2text_generation_invoke_model(setup_huggingface_mock): model = HuggingfaceHubLargeLanguageModel() response = model.invoke( - model='google/mt5-base', + model="google/mt5-base", credentials={ - 'huggingfacehub_api_type': 'inference_endpoints', - 'huggingfacehub_api_token': os.environ.get('HUGGINGFACE_API_KEY'), - 'huggingfacehub_endpoint_url': os.environ.get('HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL'), - 'task_type': 'text2text-generation' + "huggingfacehub_api_type": "inference_endpoints", + "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), + "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL"), + "task_type": "text2text-generation", }, - prompt_messages=[ - UserPromptMessage( - content='Who are you?' - ) - ], + prompt_messages=[UserPromptMessage(content="Who are you?")], model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, + "temperature": 1.0, + "top_k": 2, + "top_p": 0.5, }, - stop=['How'], + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 -@pytest.mark.parametrize('setup_huggingface_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) def test_inference_endpoints_text2text_generation_invoke_stream_model(setup_huggingface_mock): model = HuggingfaceHubLargeLanguageModel() response = model.invoke( - model='google/mt5-base', + model="google/mt5-base", credentials={ - 'huggingfacehub_api_type': 'inference_endpoints', - 'huggingfacehub_api_token': os.environ.get('HUGGINGFACE_API_KEY'), - 'huggingfacehub_endpoint_url': os.environ.get('HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL'), - 'task_type': 'text2text-generation' + "huggingfacehub_api_type": "inference_endpoints", + "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), + "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL"), + "task_type": "text2text-generation", }, - prompt_messages=[ - UserPromptMessage( - content='Who are you?' - ) - ], + prompt_messages=[UserPromptMessage(content="Who are you?")], model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, + "temperature": 1.0, + "top_k": 2, + "top_p": 0.5, }, - stop=['How'], + stop=["How"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -286,18 +264,14 @@ def test_get_num_tokens(): model = HuggingfaceHubLargeLanguageModel() num_tokens = model.get_num_tokens( - model='google/mt5-base', + model="google/mt5-base", credentials={ - 'huggingfacehub_api_type': 'inference_endpoints', - 'huggingfacehub_api_token': os.environ.get('HUGGINGFACE_API_KEY'), - 'huggingfacehub_endpoint_url': os.environ.get('HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL'), - 'task_type': 'text2text-generation' + "huggingfacehub_api_type": "inference_endpoints", + "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), + "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL"), + "task_type": "text2text-generation", }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ] + prompt_messages=[UserPromptMessage(content="Hello World!")], ) assert num_tokens == 7 diff --git a/api/tests/integration_tests/model_runtime/huggingface_hub/test_text_embedding.py b/api/tests/integration_tests/model_runtime/huggingface_hub/test_text_embedding.py index d03b3186cb..0ee593f38a 100644 --- a/api/tests/integration_tests/model_runtime/huggingface_hub/test_text_embedding.py +++ b/api/tests/integration_tests/model_runtime/huggingface_hub/test_text_embedding.py @@ -14,19 +14,19 @@ def test_hosted_inference_api_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='facebook/bart-base', + model="facebook/bart-base", credentials={ - 'huggingfacehub_api_type': 'hosted_inference_api', - 'huggingfacehub_api_token': 'invalid_key', - } + "huggingfacehub_api_type": "hosted_inference_api", + "huggingfacehub_api_token": "invalid_key", + }, ) model.validate_credentials( - model='facebook/bart-base', + model="facebook/bart-base", credentials={ - 'huggingfacehub_api_type': 'hosted_inference_api', - 'huggingfacehub_api_token': os.environ.get('HUGGINGFACE_API_KEY'), - } + "huggingfacehub_api_type": "hosted_inference_api", + "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), + }, ) @@ -34,15 +34,12 @@ def test_hosted_inference_api_invoke_model(): model = HuggingfaceHubTextEmbeddingModel() result = model.invoke( - model='facebook/bart-base', + model="facebook/bart-base", credentials={ - 'huggingfacehub_api_type': 'hosted_inference_api', - 'huggingfacehub_api_token': os.environ.get('HUGGINGFACE_API_KEY'), + "huggingfacehub_api_type": "hosted_inference_api", + "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), }, - texts=[ - "hello", - "world" - ] + texts=["hello", "world"], ) assert isinstance(result, TextEmbeddingResult) @@ -55,25 +52,25 @@ def test_inference_endpoints_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='all-MiniLM-L6-v2', + model="all-MiniLM-L6-v2", credentials={ - 'huggingfacehub_api_type': 'inference_endpoints', - 'huggingfacehub_api_token': 'invalid_key', - 'huggingface_namespace': 'Dify-AI', - 'huggingfacehub_endpoint_url': os.environ.get('HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL'), - 'task_type': 'feature-extraction' - } + "huggingfacehub_api_type": "inference_endpoints", + "huggingfacehub_api_token": "invalid_key", + "huggingface_namespace": "Dify-AI", + "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL"), + "task_type": "feature-extraction", + }, ) model.validate_credentials( - model='all-MiniLM-L6-v2', + model="all-MiniLM-L6-v2", credentials={ - 'huggingfacehub_api_type': 'inference_endpoints', - 'huggingfacehub_api_token': os.environ.get('HUGGINGFACE_API_KEY'), - 'huggingface_namespace': 'Dify-AI', - 'huggingfacehub_endpoint_url': os.environ.get('HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL'), - 'task_type': 'feature-extraction' - } + "huggingfacehub_api_type": "inference_endpoints", + "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), + "huggingface_namespace": "Dify-AI", + "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL"), + "task_type": "feature-extraction", + }, ) @@ -81,18 +78,15 @@ def test_inference_endpoints_invoke_model(): model = HuggingfaceHubTextEmbeddingModel() result = model.invoke( - model='all-MiniLM-L6-v2', + model="all-MiniLM-L6-v2", credentials={ - 'huggingfacehub_api_type': 'inference_endpoints', - 'huggingfacehub_api_token': os.environ.get('HUGGINGFACE_API_KEY'), - 'huggingface_namespace': 'Dify-AI', - 'huggingfacehub_endpoint_url': os.environ.get('HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL'), - 'task_type': 'feature-extraction' + "huggingfacehub_api_type": "inference_endpoints", + "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), + "huggingface_namespace": "Dify-AI", + "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL"), + "task_type": "feature-extraction", }, - texts=[ - "hello", - "world" - ] + texts=["hello", "world"], ) assert isinstance(result, TextEmbeddingResult) @@ -104,18 +98,15 @@ def test_get_num_tokens(): model = HuggingfaceHubTextEmbeddingModel() num_tokens = model.get_num_tokens( - model='all-MiniLM-L6-v2', + model="all-MiniLM-L6-v2", credentials={ - 'huggingfacehub_api_type': 'inference_endpoints', - 'huggingfacehub_api_token': os.environ.get('HUGGINGFACE_API_KEY'), - 'huggingface_namespace': 'Dify-AI', - 'huggingfacehub_endpoint_url': os.environ.get('HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL'), - 'task_type': 'feature-extraction' + "huggingfacehub_api_type": "inference_endpoints", + "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), + "huggingface_namespace": "Dify-AI", + "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL"), + "task_type": "feature-extraction", }, - texts=[ - "hello", - "world" - ] + texts=["hello", "world"], ) assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/huggingface_tei/test_embeddings.py b/api/tests/integration_tests/model_runtime/huggingface_tei/test_embeddings.py index ed371fbc07..b1fa9d5ca5 100644 --- a/api/tests/integration_tests/model_runtime/huggingface_tei/test_embeddings.py +++ b/api/tests/integration_tests/model_runtime/huggingface_tei/test_embeddings.py @@ -10,61 +10,59 @@ from core.model_runtime.model_providers.huggingface_tei.text_embedding.text_embe ) from tests.integration_tests.model_runtime.__mock.huggingface_tei import MockTEIClass -MOCK = os.getenv('MOCK_SWITCH', 'false').lower() == 'true' +MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" @pytest.fixture def setup_tei_mock(request, monkeypatch: pytest.MonkeyPatch): if MOCK: - monkeypatch.setattr(TeiHelper, 'get_tei_extra_parameter', MockTEIClass.get_tei_extra_parameter) - monkeypatch.setattr(TeiHelper, 'invoke_tokenize', MockTEIClass.invoke_tokenize) - monkeypatch.setattr(TeiHelper, 'invoke_embeddings', MockTEIClass.invoke_embeddings) - monkeypatch.setattr(TeiHelper, 'invoke_rerank', MockTEIClass.invoke_rerank) + monkeypatch.setattr(TeiHelper, "get_tei_extra_parameter", MockTEIClass.get_tei_extra_parameter) + monkeypatch.setattr(TeiHelper, "invoke_tokenize", MockTEIClass.invoke_tokenize) + monkeypatch.setattr(TeiHelper, "invoke_embeddings", MockTEIClass.invoke_embeddings) + monkeypatch.setattr(TeiHelper, "invoke_rerank", MockTEIClass.invoke_rerank) yield if MOCK: monkeypatch.undo() -@pytest.mark.parametrize('setup_tei_mock', [['none']], indirect=True) +@pytest.mark.parametrize("setup_tei_mock", [["none"]], indirect=True) def test_validate_credentials(setup_tei_mock): model = HuggingfaceTeiTextEmbeddingModel() # model name is only used in mock - model_name = 'embedding' + model_name = "embedding" if MOCK: # TEI Provider will check model type by API endpoint, at real server, the model type is correct. # So we dont need to check model type here. Only check in mock with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='reranker', + model="reranker", credentials={ - 'server_url': os.environ.get('TEI_EMBEDDING_SERVER_URL', ""), - } + "server_url": os.environ.get("TEI_EMBEDDING_SERVER_URL", ""), + }, ) model.validate_credentials( model=model_name, credentials={ - 'server_url': os.environ.get('TEI_EMBEDDING_SERVER_URL', ""), - } + "server_url": os.environ.get("TEI_EMBEDDING_SERVER_URL", ""), + }, ) -@pytest.mark.parametrize('setup_tei_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_tei_mock", [["none"]], indirect=True) def test_invoke_model(setup_tei_mock): model = HuggingfaceTeiTextEmbeddingModel() - model_name = 'embedding' + model_name = "embedding" result = model.invoke( model=model_name, credentials={ - 'server_url': os.environ.get('TEI_EMBEDDING_SERVER_URL', ""), + "server_url": os.environ.get("TEI_EMBEDDING_SERVER_URL", ""), }, - texts=[ - "hello", - "world" - ], - user="abc-123" + texts=["hello", "world"], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) diff --git a/api/tests/integration_tests/model_runtime/huggingface_tei/test_rerank.py b/api/tests/integration_tests/model_runtime/huggingface_tei/test_rerank.py index 57e229e6be..45370d9fba 100644 --- a/api/tests/integration_tests/model_runtime/huggingface_tei/test_rerank.py +++ b/api/tests/integration_tests/model_runtime/huggingface_tei/test_rerank.py @@ -11,63 +11,65 @@ from core.model_runtime.model_providers.huggingface_tei.rerank.rerank import ( from core.model_runtime.model_providers.huggingface_tei.text_embedding.text_embedding import TeiHelper from tests.integration_tests.model_runtime.__mock.huggingface_tei import MockTEIClass -MOCK = os.getenv('MOCK_SWITCH', 'false').lower() == 'true' +MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" @pytest.fixture def setup_tei_mock(request, monkeypatch: pytest.MonkeyPatch): if MOCK: - monkeypatch.setattr(TeiHelper, 'get_tei_extra_parameter', MockTEIClass.get_tei_extra_parameter) - monkeypatch.setattr(TeiHelper, 'invoke_tokenize', MockTEIClass.invoke_tokenize) - monkeypatch.setattr(TeiHelper, 'invoke_embeddings', MockTEIClass.invoke_embeddings) - monkeypatch.setattr(TeiHelper, 'invoke_rerank', MockTEIClass.invoke_rerank) + monkeypatch.setattr(TeiHelper, "get_tei_extra_parameter", MockTEIClass.get_tei_extra_parameter) + monkeypatch.setattr(TeiHelper, "invoke_tokenize", MockTEIClass.invoke_tokenize) + monkeypatch.setattr(TeiHelper, "invoke_embeddings", MockTEIClass.invoke_embeddings) + monkeypatch.setattr(TeiHelper, "invoke_rerank", MockTEIClass.invoke_rerank) yield if MOCK: monkeypatch.undo() -@pytest.mark.parametrize('setup_tei_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_tei_mock", [["none"]], indirect=True) def test_validate_credentials(setup_tei_mock): model = HuggingfaceTeiRerankModel() # model name is only used in mock - model_name = 'reranker' + model_name = "reranker" if MOCK: # TEI Provider will check model type by API endpoint, at real server, the model type is correct. # So we dont need to check model type here. Only check in mock with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='embedding', + model="embedding", credentials={ - 'server_url': os.environ.get('TEI_RERANK_SERVER_URL'), - } + "server_url": os.environ.get("TEI_RERANK_SERVER_URL"), + }, ) model.validate_credentials( model=model_name, credentials={ - 'server_url': os.environ.get('TEI_RERANK_SERVER_URL'), - } + "server_url": os.environ.get("TEI_RERANK_SERVER_URL"), + }, ) -@pytest.mark.parametrize('setup_tei_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_tei_mock", [["none"]], indirect=True) def test_invoke_model(setup_tei_mock): model = HuggingfaceTeiRerankModel() # model name is only used in mock - model_name = 'reranker' + model_name = "reranker" result = model.invoke( model=model_name, credentials={ - 'server_url': os.environ.get('TEI_RERANK_SERVER_URL'), + "server_url": os.environ.get("TEI_RERANK_SERVER_URL"), }, query="Who is Kasumi?", docs=[ - "Kasumi is a girl's name of Japanese origin meaning \"mist\".", + 'Kasumi is a girl\'s name of Japanese origin meaning "mist".', "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music ", - "and she leads a team named PopiParty." + "and she leads a team named PopiParty.", ], - score_threshold=0.8 + score_threshold=0.8, ) assert isinstance(result, RerankResult) diff --git a/api/tests/integration_tests/model_runtime/hunyuan/test_llm.py b/api/tests/integration_tests/model_runtime/hunyuan/test_llm.py index 305f967ef0..b3049a06d9 100644 --- a/api/tests/integration_tests/model_runtime/hunyuan/test_llm.py +++ b/api/tests/integration_tests/model_runtime/hunyuan/test_llm.py @@ -14,19 +14,15 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='hunyuan-standard', - credentials={ - 'secret_id': 'invalid_key', - 'secret_key': 'invalid_key' - } + model="hunyuan-standard", credentials={"secret_id": "invalid_key", "secret_key": "invalid_key"} ) model.validate_credentials( - model='hunyuan-standard', + model="hunyuan-standard", credentials={ - 'secret_id': os.environ.get('HUNYUAN_SECRET_ID'), - 'secret_key': os.environ.get('HUNYUAN_SECRET_KEY') - } + "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), + "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), + }, ) @@ -34,23 +30,16 @@ def test_invoke_model(): model = HunyuanLargeLanguageModel() response = model.invoke( - model='hunyuan-standard', + model="hunyuan-standard", credentials={ - 'secret_id': os.environ.get('HUNYUAN_SECRET_ID'), - 'secret_key': os.environ.get('HUNYUAN_SECRET_KEY') + "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), + "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), }, - prompt_messages=[ - UserPromptMessage( - content='Hi' - ) - ], - model_parameters={ - 'temperature': 0.5, - 'max_tokens': 10 - }, - stop=['How'], + prompt_messages=[UserPromptMessage(content="Hi")], + model_parameters={"temperature": 0.5, "max_tokens": 10}, + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) @@ -61,23 +50,15 @@ def test_invoke_stream_model(): model = HunyuanLargeLanguageModel() response = model.invoke( - model='hunyuan-standard', + model="hunyuan-standard", credentials={ - 'secret_id': os.environ.get('HUNYUAN_SECRET_ID'), - 'secret_key': os.environ.get('HUNYUAN_SECRET_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hi' - ) - ], - model_parameters={ - 'temperature': 0.5, - 'max_tokens': 100, - 'seed': 1234 + "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), + "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), }, + prompt_messages=[UserPromptMessage(content="Hi")], + model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -93,19 +74,17 @@ def test_get_num_tokens(): model = HunyuanLargeLanguageModel() num_tokens = model.get_num_tokens( - model='hunyuan-standard', + model="hunyuan-standard", credentials={ - 'secret_id': os.environ.get('HUNYUAN_SECRET_ID'), - 'secret_key': os.environ.get('HUNYUAN_SECRET_KEY') + "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), + "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert num_tokens == 14 diff --git a/api/tests/integration_tests/model_runtime/hunyuan/test_provider.py b/api/tests/integration_tests/model_runtime/hunyuan/test_provider.py index bdec3d0e22..e3748c2ce7 100644 --- a/api/tests/integration_tests/model_runtime/hunyuan/test_provider.py +++ b/api/tests/integration_tests/model_runtime/hunyuan/test_provider.py @@ -10,16 +10,11 @@ def test_validate_provider_credentials(): provider = HunyuanProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={ - 'secret_id': 'invalid_key', - 'secret_key': 'invalid_key' - } - ) + provider.validate_provider_credentials(credentials={"secret_id": "invalid_key", "secret_key": "invalid_key"}) provider.validate_provider_credentials( credentials={ - 'secret_id': os.environ.get('HUNYUAN_SECRET_ID'), - 'secret_key': os.environ.get('HUNYUAN_SECRET_KEY') + "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), + "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), } ) diff --git a/api/tests/integration_tests/model_runtime/hunyuan/test_text_embedding.py b/api/tests/integration_tests/model_runtime/hunyuan/test_text_embedding.py index 7ae6c0e456..69d14dffee 100644 --- a/api/tests/integration_tests/model_runtime/hunyuan/test_text_embedding.py +++ b/api/tests/integration_tests/model_runtime/hunyuan/test_text_embedding.py @@ -12,19 +12,15 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='hunyuan-embedding', - credentials={ - 'secret_id': 'invalid_key', - 'secret_key': 'invalid_key' - } + model="hunyuan-embedding", credentials={"secret_id": "invalid_key", "secret_key": "invalid_key"} ) model.validate_credentials( - model='hunyuan-embedding', + model="hunyuan-embedding", credentials={ - 'secret_id': os.environ.get('HUNYUAN_SECRET_ID'), - 'secret_key': os.environ.get('HUNYUAN_SECRET_KEY') - } + "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), + "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), + }, ) @@ -32,47 +28,43 @@ def test_invoke_model(): model = HunyuanTextEmbeddingModel() result = model.invoke( - model='hunyuan-embedding', + model="hunyuan-embedding", credentials={ - 'secret_id': os.environ.get('HUNYUAN_SECRET_ID'), - 'secret_key': os.environ.get('HUNYUAN_SECRET_KEY') + "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), + "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), }, - texts=[ - "hello", - "world" - ], - user="abc-123" + texts=["hello", "world"], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) assert len(result.embeddings) == 2 assert result.usage.total_tokens == 6 + def test_get_num_tokens(): model = HunyuanTextEmbeddingModel() num_tokens = model.get_num_tokens( - model='hunyuan-embedding', + model="hunyuan-embedding", credentials={ - 'secret_id': os.environ.get('HUNYUAN_SECRET_ID'), - 'secret_key': os.environ.get('HUNYUAN_SECRET_KEY') + "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), + "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), }, - texts=[ - "hello", - "world" - ] + texts=["hello", "world"], ) assert num_tokens == 2 + def test_max_chunks(): model = HunyuanTextEmbeddingModel() result = model.invoke( - model='hunyuan-embedding', + model="hunyuan-embedding", credentials={ - 'secret_id': os.environ.get('HUNYUAN_SECRET_ID'), - 'secret_key': os.environ.get('HUNYUAN_SECRET_KEY') + "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), + "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), }, texts=[ "hello", @@ -97,8 +89,8 @@ def test_max_chunks(): "world", "hello", "world", - ] + ], ) assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 22 \ No newline at end of file + assert len(result.embeddings) == 22 diff --git a/api/tests/integration_tests/model_runtime/jina/test_provider.py b/api/tests/integration_tests/model_runtime/jina/test_provider.py index 2b43248388..e3b6128c59 100644 --- a/api/tests/integration_tests/model_runtime/jina/test_provider.py +++ b/api/tests/integration_tests/model_runtime/jina/test_provider.py @@ -10,14 +10,6 @@ def test_validate_provider_credentials(): provider = JinaProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={ - 'api_key': 'hahahaha' - } - ) + provider.validate_provider_credentials(credentials={"api_key": "hahahaha"}) - provider.validate_provider_credentials( - credentials={ - 'api_key': os.environ.get('JINA_API_KEY') - } - ) + provider.validate_provider_credentials(credentials={"api_key": os.environ.get("JINA_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/jina/test_text_embedding.py b/api/tests/integration_tests/model_runtime/jina/test_text_embedding.py index ac17566174..290735ec49 100644 --- a/api/tests/integration_tests/model_runtime/jina/test_text_embedding.py +++ b/api/tests/integration_tests/model_runtime/jina/test_text_embedding.py @@ -11,18 +11,10 @@ def test_validate_credentials(): model = JinaTextEmbeddingModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='jina-embeddings-v2-base-en', - credentials={ - 'api_key': 'invalid_key' - } - ) + model.validate_credentials(model="jina-embeddings-v2-base-en", credentials={"api_key": "invalid_key"}) model.validate_credentials( - model='jina-embeddings-v2-base-en', - credentials={ - 'api_key': os.environ.get('JINA_API_KEY') - } + model="jina-embeddings-v2-base-en", credentials={"api_key": os.environ.get("JINA_API_KEY")} ) @@ -30,15 +22,12 @@ def test_invoke_model(): model = JinaTextEmbeddingModel() result = model.invoke( - model='jina-embeddings-v2-base-en', + model="jina-embeddings-v2-base-en", credentials={ - 'api_key': os.environ.get('JINA_API_KEY'), + "api_key": os.environ.get("JINA_API_KEY"), }, - texts=[ - "hello", - "world" - ], - user="abc-123" + texts=["hello", "world"], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) @@ -50,14 +39,11 @@ def test_get_num_tokens(): model = JinaTextEmbeddingModel() num_tokens = model.get_num_tokens( - model='jina-embeddings-v2-base-en', + model="jina-embeddings-v2-base-en", credentials={ - 'api_key': os.environ.get('JINA_API_KEY'), + "api_key": os.environ.get("JINA_API_KEY"), }, - texts=[ - "hello", - "world" - ] + texts=["hello", "world"], ) assert num_tokens == 6 diff --git a/api/tests/integration_tests/model_runtime/localai/test_embedding.py b/api/tests/integration_tests/model_runtime/localai/test_embedding.py index e05345ee56..7fd9f2b300 100644 --- a/api/tests/integration_tests/model_runtime/localai/test_embedding.py +++ b/api/tests/integration_tests/model_runtime/localai/test_embedding.py @@ -1,4 +1,4 @@ """ - LocalAI Embedding Interface is temporarily unavailable due to - we could not find a way to test it for now. -""" \ No newline at end of file +LocalAI Embedding Interface is temporarily unavailable due to +we could not find a way to test it for now. +""" diff --git a/api/tests/integration_tests/model_runtime/localai/test_llm.py b/api/tests/integration_tests/model_runtime/localai/test_llm.py index 6f421403d4..aa5436c34f 100644 --- a/api/tests/integration_tests/model_runtime/localai/test_llm.py +++ b/api/tests/integration_tests/model_runtime/localai/test_llm.py @@ -21,99 +21,78 @@ def test_validate_credentials_for_chat_model(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='chinese-llama-2-7b', + model="chinese-llama-2-7b", credentials={ - 'server_url': 'hahahaha', - 'completion_type': 'completion', - } + "server_url": "hahahaha", + "completion_type": "completion", + }, ) model.validate_credentials( - model='chinese-llama-2-7b', + model="chinese-llama-2-7b", credentials={ - 'server_url': os.environ.get('LOCALAI_SERVER_URL'), - 'completion_type': 'completion', - } + "server_url": os.environ.get("LOCALAI_SERVER_URL"), + "completion_type": "completion", + }, ) + def test_invoke_completion_model(): model = LocalAILanguageModel() response = model.invoke( - model='chinese-llama-2-7b', + model="chinese-llama-2-7b", credentials={ - 'server_url': os.environ.get('LOCALAI_SERVER_URL'), - 'completion_type': 'completion', - }, - prompt_messages=[ - UserPromptMessage( - content='ping' - ) - ], - model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, - 'max_tokens': 10 + "server_url": os.environ.get("LOCALAI_SERVER_URL"), + "completion_type": "completion", }, + prompt_messages=[UserPromptMessage(content="ping")], + model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10}, stop=[], user="abc-123", - stream=False + stream=False, ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 assert response.usage.total_tokens > 0 + def test_invoke_chat_model(): model = LocalAILanguageModel() response = model.invoke( - model='chinese-llama-2-7b', + model="chinese-llama-2-7b", credentials={ - 'server_url': os.environ.get('LOCALAI_SERVER_URL'), - 'completion_type': 'chat_completion', - }, - prompt_messages=[ - UserPromptMessage( - content='ping' - ) - ], - model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, - 'max_tokens': 10 + "server_url": os.environ.get("LOCALAI_SERVER_URL"), + "completion_type": "chat_completion", }, + prompt_messages=[UserPromptMessage(content="ping")], + model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10}, stop=[], user="abc-123", - stream=False + stream=False, ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 assert response.usage.total_tokens > 0 + def test_invoke_stream_completion_model(): model = LocalAILanguageModel() response = model.invoke( - model='chinese-llama-2-7b', + model="chinese-llama-2-7b", credentials={ - 'server_url': os.environ.get('LOCALAI_SERVER_URL'), - 'completion_type': 'completion', + "server_url": os.environ.get("LOCALAI_SERVER_URL"), + "completion_type": "completion", }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, - 'max_tokens': 10 - }, - stop=['you'], + prompt_messages=[UserPromptMessage(content="Hello World!")], + model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10}, + stop=["you"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -123,28 +102,21 @@ def test_invoke_stream_completion_model(): assert isinstance(chunk.delta.message, AssistantPromptMessage) assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True + def test_invoke_stream_chat_model(): model = LocalAILanguageModel() response = model.invoke( - model='chinese-llama-2-7b', + model="chinese-llama-2-7b", credentials={ - 'server_url': os.environ.get('LOCALAI_SERVER_URL'), - 'completion_type': 'chat_completion', + "server_url": os.environ.get("LOCALAI_SERVER_URL"), + "completion_type": "chat_completion", }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, - 'max_tokens': 10 - }, - stop=['you'], + prompt_messages=[UserPromptMessage(content="Hello World!")], + model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10}, + stop=["you"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -154,64 +126,48 @@ def test_invoke_stream_chat_model(): assert isinstance(chunk.delta.message, AssistantPromptMessage) assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True + def test_get_num_tokens(): model = LocalAILanguageModel() num_tokens = model.get_num_tokens( - model='????', + model="????", credentials={ - 'server_url': os.environ.get('LOCALAI_SERVER_URL'), - 'completion_type': 'chat_completion', + "server_url": os.environ.get("LOCALAI_SERVER_URL"), + "completion_type": "chat_completion", }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], tools=[ PromptMessageTool( - name='get_current_weather', - description='Get the current weather in a given location', + name="get_current_weather", + description="Get the current weather in a given location", parameters={ "type": "object", "properties": { - "location": { - "type": "string", - "description": "The city and state e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": [ - "c", - "f" - ] - } + "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, + "unit": {"type": "string", "enum": ["c", "f"]}, }, - "required": [ - "location" - ] - } + "required": ["location"], + }, ) - ] + ], ) assert isinstance(num_tokens, int) assert num_tokens == 77 num_tokens = model.get_num_tokens( - model='????', + model="????", credentials={ - 'server_url': os.environ.get('LOCALAI_SERVER_URL'), - 'completion_type': 'chat_completion', + "server_url": os.environ.get("LOCALAI_SERVER_URL"), + "completion_type": "chat_completion", }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], + prompt_messages=[UserPromptMessage(content="Hello World!")], ) assert isinstance(num_tokens, int) diff --git a/api/tests/integration_tests/model_runtime/localai/test_rerank.py b/api/tests/integration_tests/model_runtime/localai/test_rerank.py index 99847bc852..13c7df6d14 100644 --- a/api/tests/integration_tests/model_runtime/localai/test_rerank.py +++ b/api/tests/integration_tests/model_runtime/localai/test_rerank.py @@ -12,30 +12,29 @@ def test_validate_credentials_for_chat_model(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='bge-reranker-v2-m3', + model="bge-reranker-v2-m3", credentials={ - 'server_url': 'hahahaha', - 'completion_type': 'completion', - } + "server_url": "hahahaha", + "completion_type": "completion", + }, ) model.validate_credentials( - model='bge-reranker-base', + model="bge-reranker-base", credentials={ - 'server_url': os.environ.get('LOCALAI_SERVER_URL'), - 'completion_type': 'completion', - } + "server_url": os.environ.get("LOCALAI_SERVER_URL"), + "completion_type": "completion", + }, ) + def test_invoke_rerank_model(): model = LocalaiRerankModel() response = model.invoke( - model='bge-reranker-base', - credentials={ - 'server_url': os.environ.get('LOCALAI_SERVER_URL') - }, - query='Organic skincare products for sensitive skin', + model="bge-reranker-base", + credentials={"server_url": os.environ.get("LOCALAI_SERVER_URL")}, + query="Organic skincare products for sensitive skin", docs=[ "Eco-friendly kitchenware for modern homes", "Biodegradable cleaning supplies for eco-conscious consumers", @@ -45,43 +44,38 @@ def test_invoke_rerank_model(): "Sustainable gardening tools and compost solutions", "Sensitive skin-friendly facial cleansers and toners", "Organic food wraps and storage solutions", - "Yoga mats made from recycled materials" + "Yoga mats made from recycled materials", ], top_n=3, score_threshold=0.75, - user="abc-123" + user="abc-123", ) assert isinstance(response, RerankResult) assert len(response.docs) == 3 + def test__invoke(): model = LocalaiRerankModel() # Test case 1: Empty docs result = model._invoke( - model='bge-reranker-base', - credentials={ - 'server_url': 'https://example.com', - 'api_key': '1234567890' - }, - query='Organic skincare products for sensitive skin', + model="bge-reranker-base", + credentials={"server_url": "https://example.com", "api_key": "1234567890"}, + query="Organic skincare products for sensitive skin", docs=[], top_n=3, score_threshold=0.75, - user="abc-123" + user="abc-123", ) assert isinstance(result, RerankResult) assert len(result.docs) == 0 # Test case 2: Valid invocation result = model._invoke( - model='bge-reranker-base', - credentials={ - 'server_url': 'https://example.com', - 'api_key': '1234567890' - }, - query='Organic skincare products for sensitive skin', + model="bge-reranker-base", + credentials={"server_url": "https://example.com", "api_key": "1234567890"}, + query="Organic skincare products for sensitive skin", docs=[ "Eco-friendly kitchenware for modern homes", "Biodegradable cleaning supplies for eco-conscious consumers", @@ -91,12 +85,12 @@ def test__invoke(): "Sustainable gardening tools and compost solutions", "Sensitive skin-friendly facial cleansers and toners", "Organic food wraps and storage solutions", - "Yoga mats made from recycled materials" + "Yoga mats made from recycled materials", ], top_n=3, score_threshold=0.75, - user="abc-123" + user="abc-123", ) assert isinstance(result, RerankResult) assert len(result.docs) == 3 - assert all(isinstance(doc, RerankDocument) for doc in result.docs) \ No newline at end of file + assert all(isinstance(doc, RerankDocument) for doc in result.docs) diff --git a/api/tests/integration_tests/model_runtime/localai/test_speech2text.py b/api/tests/integration_tests/model_runtime/localai/test_speech2text.py index 3fd2ebed4f..91b7a5752c 100644 --- a/api/tests/integration_tests/model_runtime/localai/test_speech2text.py +++ b/api/tests/integration_tests/model_runtime/localai/test_speech2text.py @@ -10,19 +10,9 @@ def test_validate_credentials(): model = LocalAISpeech2text() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='whisper-1', - credentials={ - 'server_url': 'invalid_url' - } - ) + model.validate_credentials(model="whisper-1", credentials={"server_url": "invalid_url"}) - model.validate_credentials( - model='whisper-1', - credentials={ - 'server_url': os.environ.get('LOCALAI_SERVER_URL') - } - ) + model.validate_credentials(model="whisper-1", credentials={"server_url": os.environ.get("LOCALAI_SERVER_URL")}) def test_invoke_model(): @@ -32,23 +22,21 @@ def test_invoke_model(): current_dir = os.path.dirname(os.path.abspath(__file__)) # Get assets directory - assets_dir = os.path.join(os.path.dirname(current_dir), 'assets') + assets_dir = os.path.join(os.path.dirname(current_dir), "assets") # Construct the path to the audio file - audio_file_path = os.path.join(assets_dir, 'audio.mp3') + audio_file_path = os.path.join(assets_dir, "audio.mp3") # Open the file and get the file object - with open(audio_file_path, 'rb') as audio_file: + with open(audio_file_path, "rb") as audio_file: file = audio_file result = model.invoke( - model='whisper-1', - credentials={ - 'server_url': os.environ.get('LOCALAI_SERVER_URL') - }, + model="whisper-1", + credentials={"server_url": os.environ.get("LOCALAI_SERVER_URL")}, file=file, - user="abc-123" + user="abc-123", ) assert isinstance(result, str) - assert result == '1, 2, 3, 4, 5, 6, 7, 8, 9, 10' \ No newline at end of file + assert result == "1, 2, 3, 4, 5, 6, 7, 8, 9, 10" diff --git a/api/tests/integration_tests/model_runtime/minimax/test_embedding.py b/api/tests/integration_tests/model_runtime/minimax/test_embedding.py index 6f4b8a163f..cf2a28eb9e 100644 --- a/api/tests/integration_tests/model_runtime/minimax/test_embedding.py +++ b/api/tests/integration_tests/model_runtime/minimax/test_embedding.py @@ -12,54 +12,47 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='embo-01', - credentials={ - 'minimax_api_key': 'invalid_key', - 'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID') - } + model="embo-01", + credentials={"minimax_api_key": "invalid_key", "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID")}, ) model.validate_credentials( - model='embo-01', + model="embo-01", credentials={ - 'minimax_api_key': os.environ.get('MINIMAX_API_KEY'), - 'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID') - } + "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), + "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), + }, ) + def test_invoke_model(): model = MinimaxTextEmbeddingModel() result = model.invoke( - model='embo-01', + model="embo-01", credentials={ - 'minimax_api_key': os.environ.get('MINIMAX_API_KEY'), - 'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID') + "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), + "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), }, - texts=[ - "hello", - "world" - ], - user="abc-123" + texts=["hello", "world"], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) assert len(result.embeddings) == 2 assert result.usage.total_tokens == 16 + def test_get_num_tokens(): model = MinimaxTextEmbeddingModel() num_tokens = model.get_num_tokens( - model='embo-01', + model="embo-01", credentials={ - 'minimax_api_key': os.environ.get('MINIMAX_API_KEY'), - 'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID') + "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), + "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), }, - texts=[ - "hello", - "world" - ] + texts=["hello", "world"], ) assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/minimax/test_llm.py b/api/tests/integration_tests/model_runtime/minimax/test_llm.py index 570e4901a9..aacde04d32 100644 --- a/api/tests/integration_tests/model_runtime/minimax/test_llm.py +++ b/api/tests/integration_tests/model_runtime/minimax/test_llm.py @@ -17,79 +17,70 @@ def test_predefined_models(): assert len(model_schemas) >= 1 assert isinstance(model_schemas[0], AIModelEntity) + def test_validate_credentials_for_chat_model(): sleep(3) model = MinimaxLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='abab5.5-chat', - credentials={ - 'minimax_api_key': 'invalid_key', - 'minimax_group_id': 'invalid_key' - } + model="abab5.5-chat", credentials={"minimax_api_key": "invalid_key", "minimax_group_id": "invalid_key"} ) model.validate_credentials( - model='abab5.5-chat', + model="abab5.5-chat", credentials={ - 'minimax_api_key': os.environ.get('MINIMAX_API_KEY'), - 'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID') - } + "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), + "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), + }, ) + def test_invoke_model(): sleep(3) model = MinimaxLargeLanguageModel() response = model.invoke( - model='abab5-chat', + model="abab5-chat", credentials={ - 'minimax_api_key': os.environ.get('MINIMAX_API_KEY'), - 'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID') + "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), + "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], + prompt_messages=[UserPromptMessage(content="Hello World!")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, - 'top_k': 1, + "temperature": 0.7, + "top_p": 1.0, + "top_k": 1, }, - stop=['you'], + stop=["you"], user="abc-123", - stream=False + stream=False, ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 assert response.usage.total_tokens > 0 + def test_invoke_stream_model(): sleep(3) model = MinimaxLargeLanguageModel() response = model.invoke( - model='abab5.5-chat', + model="abab5.5-chat", credentials={ - 'minimax_api_key': os.environ.get('MINIMAX_API_KEY'), - 'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID') + "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), + "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], + prompt_messages=[UserPromptMessage(content="Hello World!")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, - 'top_k': 1, + "temperature": 0.7, + "top_p": 1.0, + "top_k": 1, }, - stop=['you'], + stop=["you"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -99,34 +90,31 @@ def test_invoke_stream_model(): assert isinstance(chunk.delta.message, AssistantPromptMessage) assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True + def test_invoke_with_search(): sleep(3) model = MinimaxLargeLanguageModel() response = model.invoke( - model='abab5.5-chat', + model="abab5.5-chat", credentials={ - 'minimax_api_key': os.environ.get('MINIMAX_API_KEY'), - 'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID') + "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), + "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), }, - prompt_messages=[ - UserPromptMessage( - content='北京今天的天气怎么样' - ) - ], + prompt_messages=[UserPromptMessage(content="北京今天的天气怎么样")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, - 'top_k': 1, - 'plugin_web_search': True, + "temperature": 0.7, + "top_p": 1.0, + "top_k": 1, + "plugin_web_search": True, }, - stop=['you'], + stop=["you"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) - total_message = '' + total_message = "" for chunk in response: assert isinstance(chunk, LLMResultChunk) assert isinstance(chunk.delta, LLMResultChunkDelta) @@ -134,25 +122,22 @@ def test_invoke_with_search(): total_message += chunk.delta.message.content assert len(chunk.delta.message.content) > 0 if not chunk.delta.finish_reason else True - assert '参考资料' in total_message + assert "参考资料" in total_message + def test_get_num_tokens(): sleep(3) model = MinimaxLargeLanguageModel() response = model.get_num_tokens( - model='abab5.5-chat', + model="abab5.5-chat", credentials={ - 'minimax_api_key': os.environ.get('MINIMAX_API_KEY'), - 'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID') + "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), + "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - tools=[] + prompt_messages=[UserPromptMessage(content="Hello World!")], + tools=[], ) assert isinstance(response, int) - assert response == 30 \ No newline at end of file + assert response == 30 diff --git a/api/tests/integration_tests/model_runtime/minimax/test_provider.py b/api/tests/integration_tests/model_runtime/minimax/test_provider.py index 4c5462c6df..575ed13eef 100644 --- a/api/tests/integration_tests/model_runtime/minimax/test_provider.py +++ b/api/tests/integration_tests/model_runtime/minimax/test_provider.py @@ -12,14 +12,14 @@ def test_validate_provider_credentials(): with pytest.raises(CredentialsValidateFailedError): provider.validate_provider_credentials( credentials={ - 'minimax_api_key': 'hahahaha', - 'minimax_group_id': '123', + "minimax_api_key": "hahahaha", + "minimax_group_id": "123", } ) provider.validate_provider_credentials( credentials={ - 'minimax_api_key': os.environ.get('MINIMAX_API_KEY'), - 'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID'), + "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), + "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), } ) diff --git a/api/tests/integration_tests/model_runtime/novita/test_llm.py b/api/tests/integration_tests/model_runtime/novita/test_llm.py index 4ebc68493f..35fa0dc190 100644 --- a/api/tests/integration_tests/model_runtime/novita/test_llm.py +++ b/api/tests/integration_tests/model_runtime/novita/test_llm.py @@ -19,19 +19,12 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='meta-llama/llama-3-8b-instruct', - credentials={ - 'api_key': 'invalid_key', - 'mode': 'chat' - } + model="meta-llama/llama-3-8b-instruct", credentials={"api_key": "invalid_key", "mode": "chat"} ) model.validate_credentials( - model='meta-llama/llama-3-8b-instruct', - credentials={ - 'api_key': os.environ.get('NOVITA_API_KEY'), - 'mode': 'chat' - } + model="meta-llama/llama-3-8b-instruct", + credentials={"api_key": os.environ.get("NOVITA_API_KEY"), "mode": "chat"}, ) @@ -39,27 +32,22 @@ def test_invoke_model(): model = NovitaLargeLanguageModel() response = model.invoke( - model='meta-llama/llama-3-8b-instruct', - credentials={ - 'api_key': os.environ.get('NOVITA_API_KEY'), - 'mode': 'completion' - }, + model="meta-llama/llama-3-8b-instruct", + credentials={"api_key": os.environ.get("NOVITA_API_KEY"), "mode": "completion"}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Who are you?' - ) + UserPromptMessage(content="Who are you?"), ], model_parameters={ - 'temperature': 1.0, - 'top_p': 0.5, - 'max_tokens': 10, + "temperature": 1.0, + "top_p": 0.5, + "max_tokens": 10, }, - stop=['How'], + stop=["How"], stream=False, - user="novita" + user="novita", ) assert isinstance(response, LLMResult) @@ -70,27 +58,17 @@ def test_invoke_stream_model(): model = NovitaLargeLanguageModel() response = model.invoke( - model='meta-llama/llama-3-8b-instruct', - credentials={ - 'api_key': os.environ.get('NOVITA_API_KEY'), - 'mode': 'chat' - }, + model="meta-llama/llama-3-8b-instruct", + credentials={"api_key": os.environ.get("NOVITA_API_KEY"), "mode": "chat"}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Who are you?' - ) + UserPromptMessage(content="Who are you?"), ], - model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, - 'max_tokens': 100 - }, + model_parameters={"temperature": 1.0, "top_k": 2, "top_p": 0.5, "max_tokens": 100}, stream=True, - user="novita" + user="novita", ) assert isinstance(response, Generator) @@ -105,18 +83,16 @@ def test_get_num_tokens(): model = NovitaLargeLanguageModel() num_tokens = model.get_num_tokens( - model='meta-llama/llama-3-8b-instruct', + model="meta-llama/llama-3-8b-instruct", credentials={ - 'api_key': os.environ.get('NOVITA_API_KEY'), + "api_key": os.environ.get("NOVITA_API_KEY"), }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert isinstance(num_tokens, int) diff --git a/api/tests/integration_tests/model_runtime/novita/test_provider.py b/api/tests/integration_tests/model_runtime/novita/test_provider.py index bb3f19dc85..191af99db2 100644 --- a/api/tests/integration_tests/model_runtime/novita/test_provider.py +++ b/api/tests/integration_tests/model_runtime/novita/test_provider.py @@ -10,12 +10,10 @@ def test_validate_provider_credentials(): provider = NovitaProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={} - ) + provider.validate_provider_credentials(credentials={}) provider.validate_provider_credentials( credentials={ - 'api_key': os.environ.get('NOVITA_API_KEY'), + "api_key": os.environ.get("NOVITA_API_KEY"), } ) diff --git a/api/tests/integration_tests/model_runtime/ollama/test_llm.py b/api/tests/integration_tests/model_runtime/ollama/test_llm.py index 272e639a8a..58a1339f50 100644 --- a/api/tests/integration_tests/model_runtime/ollama/test_llm.py +++ b/api/tests/integration_tests/model_runtime/ollama/test_llm.py @@ -20,23 +20,23 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='mistral:text', + model="mistral:text", credentials={ - 'base_url': 'http://localhost:21434', - 'mode': 'chat', - 'context_size': 2048, - 'max_tokens': 2048, - } + "base_url": "http://localhost:21434", + "mode": "chat", + "context_size": 2048, + "max_tokens": 2048, + }, ) model.validate_credentials( - model='mistral:text', + model="mistral:text", credentials={ - 'base_url': os.environ.get('OLLAMA_BASE_URL'), - 'mode': 'chat', - 'context_size': 2048, - 'max_tokens': 2048, - } + "base_url": os.environ.get("OLLAMA_BASE_URL"), + "mode": "chat", + "context_size": 2048, + "max_tokens": 2048, + }, ) @@ -44,26 +44,17 @@ def test_invoke_model(): model = OllamaLargeLanguageModel() response = model.invoke( - model='mistral:text', + model="mistral:text", credentials={ - 'base_url': os.environ.get('OLLAMA_BASE_URL'), - 'mode': 'chat', - 'context_size': 2048, - 'max_tokens': 2048, + "base_url": os.environ.get("OLLAMA_BASE_URL"), + "mode": "chat", + "context_size": 2048, + "max_tokens": 2048, }, - prompt_messages=[ - UserPromptMessage( - content='Who are you?' - ) - ], - model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, - 'num_predict': 10 - }, - stop=['How'], - stream=False + prompt_messages=[UserPromptMessage(content="Who are you?")], + model_parameters={"temperature": 1.0, "top_k": 2, "top_p": 0.5, "num_predict": 10}, + stop=["How"], + stream=False, ) assert isinstance(response, LLMResult) @@ -74,29 +65,22 @@ def test_invoke_stream_model(): model = OllamaLargeLanguageModel() response = model.invoke( - model='mistral:text', + model="mistral:text", credentials={ - 'base_url': os.environ.get('OLLAMA_BASE_URL'), - 'mode': 'chat', - 'context_size': 2048, - 'max_tokens': 2048, + "base_url": os.environ.get("OLLAMA_BASE_URL"), + "mode": "chat", + "context_size": 2048, + "max_tokens": 2048, }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Who are you?' - ) + UserPromptMessage(content="Who are you?"), ], - model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, - 'num_predict': 10 - }, - stop=['How'], - stream=True + model_parameters={"temperature": 1.0, "top_k": 2, "top_p": 0.5, "num_predict": 10}, + stop=["How"], + stream=True, ) assert isinstance(response, Generator) @@ -111,26 +95,17 @@ def test_invoke_completion_model(): model = OllamaLargeLanguageModel() response = model.invoke( - model='mistral:text', + model="mistral:text", credentials={ - 'base_url': os.environ.get('OLLAMA_BASE_URL'), - 'mode': 'completion', - 'context_size': 2048, - 'max_tokens': 2048, + "base_url": os.environ.get("OLLAMA_BASE_URL"), + "mode": "completion", + "context_size": 2048, + "max_tokens": 2048, }, - prompt_messages=[ - UserPromptMessage( - content='Who are you?' - ) - ], - model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, - 'num_predict': 10 - }, - stop=['How'], - stream=False + prompt_messages=[UserPromptMessage(content="Who are you?")], + model_parameters={"temperature": 1.0, "top_k": 2, "top_p": 0.5, "num_predict": 10}, + stop=["How"], + stream=False, ) assert isinstance(response, LLMResult) @@ -141,29 +116,22 @@ def test_invoke_stream_completion_model(): model = OllamaLargeLanguageModel() response = model.invoke( - model='mistral:text', + model="mistral:text", credentials={ - 'base_url': os.environ.get('OLLAMA_BASE_URL'), - 'mode': 'completion', - 'context_size': 2048, - 'max_tokens': 2048, + "base_url": os.environ.get("OLLAMA_BASE_URL"), + "mode": "completion", + "context_size": 2048, + "max_tokens": 2048, }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Who are you?' - ) + UserPromptMessage(content="Who are you?"), ], - model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, - 'num_predict': 10 - }, - stop=['How'], - stream=True + model_parameters={"temperature": 1.0, "top_k": 2, "top_p": 0.5, "num_predict": 10}, + stop=["How"], + stream=True, ) assert isinstance(response, Generator) @@ -178,29 +146,26 @@ def test_invoke_completion_model_with_vision(): model = OllamaLargeLanguageModel() result = model.invoke( - model='llava', + model="llava", credentials={ - 'base_url': os.environ.get('OLLAMA_BASE_URL'), - 'mode': 'completion', - 'context_size': 2048, - 'max_tokens': 2048, + "base_url": os.environ.get("OLLAMA_BASE_URL"), + "mode": "completion", + "context_size": 2048, + "max_tokens": 2048, }, prompt_messages=[ UserPromptMessage( content=[ TextPromptMessageContent( - data='What is this in this picture?', + data="What is this in this picture?", ), ImagePromptMessageContent( - data='data:image/png;base64,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' - ) + 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" + ), ] ) ], - model_parameters={ - 'temperature': 0.1, - 'num_predict': 100 - }, + model_parameters={"temperature": 0.1, "num_predict": 100}, stream=False, ) @@ -212,29 +177,26 @@ def test_invoke_chat_model_with_vision(): model = OllamaLargeLanguageModel() result = model.invoke( - model='llava', + model="llava", credentials={ - 'base_url': os.environ.get('OLLAMA_BASE_URL'), - 'mode': 'chat', - 'context_size': 2048, - 'max_tokens': 2048, + "base_url": os.environ.get("OLLAMA_BASE_URL"), + "mode": "chat", + "context_size": 2048, + "max_tokens": 2048, }, prompt_messages=[ UserPromptMessage( content=[ TextPromptMessageContent( - data='What is this in this picture?', + data="What is this in this picture?", ), ImagePromptMessageContent( - data='data:image/png;base64,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' - ) + 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TJkgUbaPDxRADdZ8jU9LHoJYnwLUtgWN4ObDC7Kdr8Hp7d9qMTW8gt23V1zyvPrD1H56e9t+99vr9uJLprBDfaIw69U4dQRCIw2JdVIjbUzecj+7qYyPpZHiAbDaJwsXyMhQEQ0pq6sAp7hMS2XGqykdA2iy4EUtF6v206ur9k/fbNo//+frtt2OaW/rjxtmAaeNGqihBY5xfVQzQEZfoSH0KHgkrbD/CX6vPIqlSTU61vVCovRSbEwbIS851vj23Q+tff3vu/bzu5I7tvs4qVnADTa5FCbNC86qCLN2E1MxKKroYB2pgSz2RLbbVcVkSJhOKxIDjGxn+nSuqes2JlKuG8fA/IzPXazbj68X7et/27UfX7GifORwOuSju47h/c3beKfRFO74CNA04YP0ZT2/YzERFGojc9pmDG47/wyDZwJjiX4wwJNer1dZPJbs5/xzK5Ppzp7SQZBszNy22U7tX7/dtFdvJrv8aGE2cDJLoPycBgHSgICJUQLo8nmUo6y7oH0S5Lu/FGhDQULCfIooATw3yyOQQ46eYVpYiaBMTFtAFPR307r9y3fbdvsRfd5Rg6HJI2Lt1qaAF6TEqoxWdVdYSHawezCvAHLjW7Jh2QGcUkDDT4Og2OfSFRVkxipcAJUZARC5FVRbeRpB1hVY6r25XQHexIZ96Hfa++PTs4Dbi8rQg7imWQG27/uEgCTCssk/WWg7GwJWwDQ36PceGzQ+x7jOtgNogkIIpsZiFMdXoEfOPUlh3l5ulu2/X6bJ7Mc84Bw+xgOKzJqM0VKm8WYlVMqt61gFKNtQKeZ6o7Ls/aqEeYooJXDIZ9uiT0uZ5UxPUJNlYdoAK62qHfM7unz3/bb9/Ha+v3u/tn3AD0XOrnxAZdpNYZILgoxyGk4BqMCbssq66dXv6RdFkiB6Rj2u3N1npiMw1dQjF4oJW/kzy6VdMRFA9Xd8VvhCLxCyYUYkvhHZb7+fotvdUR6XmwXcYI1DangAA6yspgBj/dRjp6L+RbmSPaaxuuMnGEeVAhBF4pSapAFG5gUo60rAHmpVtcz0sR2aBZW8NAB9+W7dXr9N0dmPmUcu10pWrq7kQQvBQXn1dUsgoM4ej12TtyBknG51PEMGOV2TLLVZ/GLvLMBYHsYJhg7fuMBx6tq3LFu7aBxxD9jKFiO7Thbwcv7n5dS+/ML0eWEWcBqoptk+mEQp2aTG+rbmBYA+D6MyMwMAdepKsX5QpnglFZyZ5k4tDYsI/Y1pF7CRq22HoHXgGEOwgodvgH79INnW3tlFIVVQvkBXg1dvF3z27fkTGzw+zALOPZluVoVkV4yLHoBB3VBJUNyo6uEWXAyIkruC2OQjbVeppxkm8+iti2mySsM1EPYGKBcEyul3LKTW1+pr+wLRstwP0J8a2K95Txf/+6q1ZzeUDEXt/oFhHnA4fJYCBtawYlWmlsrJBEHhP43bi9Rq1Z0ymlK3Z/QCRqA5YfaNLZJWEACn929eluXlUGO8CgMrHWYi441S2tsFebLRL5RWL0e0nL64SEEf2sjMR4ZZwA0Ddfziclz1eN8yDn1qAaHSq3G0FEQXjABDo51sJVNyGnA0QlAPL4LOApzMo0mY1sUFbQBj8xTzYhKrROYF5VGIftR1uW3+3uiWU8XnBw7l3HIYVG/P/djYgMZoyrTJrci0n2qPZVnNFV913viW6btGzsXBT6aW3VKmsauVTFOc2DxpP5YJYLBBeCUixE71IlGBR2EF+6OugHbP12Ddoj29HgIPj+cxDiPDFGINzB8sKhLh0Ui4gOgDI8deb8FiwYxlteWhLHWTlmOzhkxLAObPIkFqS8+bbG5BdgWiAmJTwXdqZ7oysktzdKC/BWMWiAJNpyP0ZPTMItRy7fTi2RB4eDwLuIkpCma1gob/Dsw7zcKAMf3txiCot8c42ZCDPu3WAqRMJAGEk4cACaLzSZsFRhAE9QoAtXcwTX92XDT0sxTQXJYHdDJin0KfVN8PmzNvnOYBx5XNlik4giumihb7tJ60ezgNhgXuXgRNttxunZYAj7uzbL3nUA67rm5KJWrJCyTfIVwBMh3bTkD8TqFYp6uv8RwrgJpAZmHHScqv0qWeKT48NujhAuELekyYBdz9gXJQ53DvDh3tU62xTtN8bQhzzE9OccAK8wA2ez2k3cNtN7wM/RZs9M5NkNZoee0H2rmhLr8miPV9roAZtN1RHV/gDb7EoUtXKeXjYXUBN0oeFs8CbrtlhZRGPZSSZNyI9gA+TBFkelFNWxgEgCtG3wDiFqEr5Jz6y/U1DAM4QLxi2l7DNhl3w/epNTUFWGbXC7HrMQMz7WUbf8AaDQ46DYXuxLoJX6CFRzvuiPyJzCzgZIoKyqgKAx1yAGPQUWfa+GoDsqwDJNnHLF9juSz0i5VrpvqSwmsQul5dtyfrfX1zL3i0WdHHSjaKVjf0T5k7ABtxlEHbwxusgjydAY8N84BjvAx5GLfMqBW0VJEZ+pwKskQnbpnFHPzpwWo/bzkGvX51296+bu1v/+qL9usXT9rTJ07Bzh9k9HEPsxNhwhh6xLXKo3fXWf3iMkrBBz9nAbflbHm6ONxhXp8/NW26lkSleIEV9FBVI+o6ihjmffPDt+3v/+5Z+82vnsZw/fyercweB2d7wzA8mfuPEknpXTnHvQsoPd1v/aD8LODw+AxbAw/QjnEfv69u5kz6dtOiW2R6YmW7vd0C3qK94wcjf/zxZ1bRXfvqGT6U3f2G/Z6AesqotgJX477PNVmTmxfiwTSS5irqz2ybEHD6PzbMAk7lS/0BxgkTqPAUYBiAkQpTLLdKxe1D4Lbsp968uW1vXk+ZrnpsN7yL1TbmbvCl4GcPPPStZWyNcM9s++9y92ruZu2CT21q7lZ9KDcLuC3WbmGG42uA30EISOVkFynt1BBialOliF/wZHqGTa1tOfq8fbMHPL6N2iBPW2d7HfxZdWnreiN49UL0dfhLR6tBSVVwNo+TQ1U5IsHvQU4Dcry7bGNOix+SngVcwAhYpZjTQxaNMABLLLtUFEAMEwi4kk63fGDbLTcVm82ubd7hNylzEXCa6SPdz2Vf5iUobe0jAFIq8+JHT8CjGeUjHFOj5E7MIO4THxvOaHIcwu2IOKiznyg89BTEXi6WssO8B36vkLa33Pv7/QRbEtm21c/BtIm9Yb4ho19PDg4g09aeucySdpzq3BfVx6WQqh7MkLOSkHLf2olEKni4n7xznh0VH4jnAYdy6hfVSZTvUmF54f2cU9d9XmlhvUyTlbkxIT0BWtgH4wRRgPMy7EFbAwi8ojzbNyqtH/7coWxnUHyE+rmYjbs3NCnqdwIbbM/GZ4RZwDleVskO3viSBhWjSu2Pxj7JU4bsqrzTU5YZQ7xKu73Bb8bAbo+s28NStxEyb8e+K1UAKXhOVivK7x0RUANf3zEw/smJpsr37cad9RlhFnCbzQYwfN36I+5qwxgVwRA/vOHxlneeMiaux9lymN5tTTttkZN5mbZwCYsLM550taA+zJM5gsdHsGSdQTbngN7ZlC/JrRhXIcorRJvVcp2pnjzdy+0nnErOCbOAE5x8d4oVCy4xMSFGetjfgWJ3MQFHdomxZbUwwC4B84YlzBNojUEmxmqO1tVC4VcVopUzKuXK+XArUeDVTyq85wv7xKqHsel1dfIUkl8zUXcFm8eUH7IPjWcBp8J5mYxWcWmbclhlyEIAMJm2HbSwDCHZGD9IuR1UH4MhaZ4HOAIQIJOrIxfjxOFRUMNQq8wI9EH5WNVJdcEje22ofxs3K6PlQ+OZwA2ghrFSKhiEVSqh/5JJcfodKBnntLac7wb5CKLpAs+0RguYuAhoNh2CRV1dTVFhqWhRn/u+tOsMtTph6JhOkAWsQDz1K3NHeHyYBZyK70BG5oy3SyqGumoaAhr1Aiggnm8FzXr3cQWSq++p8seM10v6LW9Elgh5kyGINXMdi1xspw2LRHwqMjJTV2KdU9c2eQ1SkXDDHL2aYf2MprVp1dFrtcBlAWB/sNuxMoJIzEfRqhMk04qXfM0n8yVDaa/DRLp1GuGSKhNz65ZEOQUSdyD0Y/adRSojsxjoz2jnNFdN3l/S+sUvnqbDsx+zgCvQMJzhPaCrlouCLBvbA43x68DhsAc7DxpTr0y39VAMBCfpSlpSUMggzRe8X4bIAWRYJqVJj6t7feMV/9Bkfeb+bYw2Czg78S3GwWtEQEPRWFMMEDAZhVTiMaWLnZZRxSexfaStPR9DAXbMj5Qs479Dm8PqqYCNEpUTVAe/GpLC3vH16hI64zkLuB1XQVsdFkED8ps40oLjj2sMAdbFwGlKRjbW6UHAFZaRJVegIpeWVafZhQ4yHahUm+5VyfOwXYFHTX8DKUNSn+fCcsN3qOd8AT3GGPEs4EYnxho9YlOnU1WTUj98GbLKWCawI5wk71DiBMoh+qjYfgXUc+nNlW+rXuqjOrknPAs4sRoHcvvNguDZNEChYOoBUUZ175z9nMBZnQ6cnncgS7uDnt3BJ49Y8axqPYLZ0gVEb2DaICyHtOUM5t2eP7AJexWaGWYBVzcdsqneoAAViyzzo3ZsC1Jeq2qBKVhlkIxDsuSRrSY6/6S6eaaFjD+B4BGmMo9X9M06kcAdMq0qU5eT+lBBc8+GqaVmCc989iHP6yVvOcr4qE8ZLijVZ8VleC/5xWDWFmN6ow6aIKX75EfdL5rfKxBJgAcwwV/zeXrFjyqqo3uy52dnMa5oU4O7svo7YMNgWrFKdsk6WBXmmS82HuKsuADjHZFGi5iBIv+9qnn/qt+qSh3JTFNjPvWDiqpnA0SexYB/ijm6q5qP85wFnIZrXQHgillpVesHh9QVaAWWAJccfo/VNrOcbmrbYn/vCR9gy2m1aUH2WOa/rv4UoKnhPODowC2Gx6jQo4Nox4ZinDL392ssIHFSZWa1rTZJD/wSy0Kn34eDpwZvP1w96+dmH25zrsQs4KSLP4GAawWSjhnFZZQFmUZxOZSTj/ne2yUhIHCjRIlFKcIU0x852RjZTGGlDdaQrkxk7MPrJr/gzg17r4vgJ3rMAk4/wmQDE7wJhg+fFV1xaMGiMqnXaFc5jd4FjCCIRAEmAO5aPE7lzsw0ZelHYJB0PCWscErqOJcsrbllGmhmzE/7mAXcPof544Wlqg6wTuORtvKQzjV2gVC+shaNMhc24v8iIloGmS3ogc7bD9sS884Oi0kEP89jFnDX++/hCtPVtT7kwaxOkZpmxQ/L9vgdj1r+NCtAwQ6/A9DXMXnBqZgoHDdXP7Wna/Id6PRCum7DiREqcg1UPw9Yp6MsLv/HwlM4Hp7WQ1/CGQhcgDsDNJtcgLsAdyYCZza7MO4C3JkInNnswrgLcGcicGazC+POBO7/AH5zPa/ivytzAAAAAElFTkSuQmCC" + ), ] ) ], - model_parameters={ - 'temperature': 0.1, - 'num_predict': 100 - }, + model_parameters={"temperature": 0.1, "num_predict": 100}, stream=False, ) @@ -246,18 +208,14 @@ def test_get_num_tokens(): model = OllamaLargeLanguageModel() num_tokens = model.get_num_tokens( - model='mistral:text', + model="mistral:text", credentials={ - 'base_url': os.environ.get('OLLAMA_BASE_URL'), - 'mode': 'chat', - 'context_size': 2048, - 'max_tokens': 2048, + "base_url": os.environ.get("OLLAMA_BASE_URL"), + "mode": "chat", + "context_size": 2048, + "max_tokens": 2048, }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ] + prompt_messages=[UserPromptMessage(content="Hello World!")], ) assert isinstance(num_tokens, int) diff --git a/api/tests/integration_tests/model_runtime/ollama/test_text_embedding.py b/api/tests/integration_tests/model_runtime/ollama/test_text_embedding.py index c5f5918235..3c4f740a4f 100644 --- a/api/tests/integration_tests/model_runtime/ollama/test_text_embedding.py +++ b/api/tests/integration_tests/model_runtime/ollama/test_text_embedding.py @@ -12,21 +12,21 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='mistral:text', + model="mistral:text", credentials={ - 'base_url': 'http://localhost:21434', - 'mode': 'chat', - 'context_size': 4096, - } + "base_url": "http://localhost:21434", + "mode": "chat", + "context_size": 4096, + }, ) model.validate_credentials( - model='mistral:text', + model="mistral:text", credentials={ - 'base_url': os.environ.get('OLLAMA_BASE_URL'), - 'mode': 'chat', - 'context_size': 4096, - } + "base_url": os.environ.get("OLLAMA_BASE_URL"), + "mode": "chat", + "context_size": 4096, + }, ) @@ -34,17 +34,14 @@ def test_invoke_model(): model = OllamaEmbeddingModel() result = model.invoke( - model='mistral:text', + model="mistral:text", credentials={ - 'base_url': os.environ.get('OLLAMA_BASE_URL'), - 'mode': 'chat', - 'context_size': 4096, + "base_url": os.environ.get("OLLAMA_BASE_URL"), + "mode": "chat", + "context_size": 4096, }, - texts=[ - "hello", - "world" - ], - user="abc-123" + texts=["hello", "world"], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) @@ -56,16 +53,13 @@ def test_get_num_tokens(): model = OllamaEmbeddingModel() num_tokens = model.get_num_tokens( - model='mistral:text', + model="mistral:text", credentials={ - 'base_url': os.environ.get('OLLAMA_BASE_URL'), - 'mode': 'chat', - 'context_size': 4096, + "base_url": os.environ.get("OLLAMA_BASE_URL"), + "mode": "chat", + "context_size": 4096, }, - texts=[ - "hello", - "world" - ] + texts=["hello", "world"], ) assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/openai/test_llm.py b/api/tests/integration_tests/model_runtime/openai/test_llm.py index bf4ac53579..3b3ea9ec80 100644 --- a/api/tests/integration_tests/model_runtime/openai/test_llm.py +++ b/api/tests/integration_tests/model_runtime/openai/test_llm.py @@ -28,92 +28,61 @@ def test_predefined_models(): assert len(model_schemas) >= 1 assert isinstance(model_schemas[0], AIModelEntity) -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_validate_credentials_for_chat_model(setup_openai_mock): model = OpenAILargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='gpt-3.5-turbo', - credentials={ - 'openai_api_key': 'invalid_key' - } - ) + model.validate_credentials(model="gpt-3.5-turbo", credentials={"openai_api_key": "invalid_key"}) - model.validate_credentials( - model='gpt-3.5-turbo', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - } - ) + model.validate_credentials(model="gpt-3.5-turbo", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}) -@pytest.mark.parametrize('setup_openai_mock', [['completion']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True) def test_validate_credentials_for_completion_model(setup_openai_mock): model = OpenAILargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='text-davinci-003', - credentials={ - 'openai_api_key': 'invalid_key' - } - ) + model.validate_credentials(model="text-davinci-003", credentials={"openai_api_key": "invalid_key"}) model.validate_credentials( - model='text-davinci-003', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - } + model="text-davinci-003", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")} ) -@pytest.mark.parametrize('setup_openai_mock', [['completion']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True) def test_invoke_completion_model(setup_openai_mock): model = OpenAILargeLanguageModel() result = model.invoke( - model='gpt-3.5-turbo-instruct', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY'), - 'openai_api_base': 'https://api.openai.com' - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 1 - }, + model="gpt-3.5-turbo-instruct", + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY"), "openai_api_base": "https://api.openai.com"}, + prompt_messages=[UserPromptMessage(content="Hello World!")], + model_parameters={"temperature": 0.0, "max_tokens": 1}, stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) assert len(result.message.content) > 0 - assert model._num_tokens_from_string('gpt-3.5-turbo-instruct', result.message.content) == 1 + assert model._num_tokens_from_string("gpt-3.5-turbo-instruct", result.message.content) == 1 -@pytest.mark.parametrize('setup_openai_mock', [['completion']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True) def test_invoke_stream_completion_model(setup_openai_mock): model = OpenAILargeLanguageModel() result = model.invoke( - model='gpt-3.5-turbo-instruct', + model="gpt-3.5-turbo-instruct", credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY'), - 'openai_organization': os.environ.get('OPENAI_ORGANIZATION'), - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 100 + "openai_api_key": os.environ.get("OPENAI_API_KEY"), + "openai_organization": os.environ.get("OPENAI_ORGANIZATION"), }, + prompt_messages=[UserPromptMessage(content="Hello World!")], + model_parameters={"temperature": 0.0, "max_tokens": 100}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(result, Generator) @@ -124,166 +93,131 @@ def test_invoke_stream_completion_model(setup_openai_mock): assert isinstance(chunk.delta.message, AssistantPromptMessage) assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_invoke_chat_model(setup_openai_mock): model = OpenAILargeLanguageModel() result = model.invoke( - model='gpt-3.5-turbo', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - }, + model="gpt-3.5-turbo", + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], model_parameters={ - 'temperature': 0.0, - 'top_p': 1.0, - 'presence_penalty': 0.0, - 'frequency_penalty': 0.0, - 'max_tokens': 10 + "temperature": 0.0, + "top_p": 1.0, + "presence_penalty": 0.0, + "frequency_penalty": 0.0, + "max_tokens": 10, }, - stop=['How'], + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) assert len(result.message.content) > 0 -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_invoke_chat_model_with_vision(setup_openai_mock): model = OpenAILargeLanguageModel() result = model.invoke( - model='gpt-4-vision-preview', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - }, + model="gpt-4-vision-preview", + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), UserPromptMessage( content=[ TextPromptMessageContent( - data='Hello World!', + data="Hello World!", ), ImagePromptMessageContent( - 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' - ) + 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" + ), ] - ) + ), ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 100 - }, + model_parameters={"temperature": 0.0, "max_tokens": 100}, stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) assert len(result.message.content) > 0 -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_invoke_chat_model_with_tools(setup_openai_mock): model = OpenAILargeLanguageModel() result = model.invoke( - model='gpt-3.5-turbo', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - }, + model="gpt-3.5-turbo", + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), UserPromptMessage( content="what's the weather today in London?", - ) + ), ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 100 - }, + model_parameters={"temperature": 0.0, "max_tokens": 100}, tools=[ PromptMessageTool( - name='get_weather', - description='Determine weather in my location', + name="get_weather", + description="Determine weather in my location", parameters={ "type": "object", "properties": { - "location": { - "type": "string", - "description": "The city and state e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": [ - "c", - "f" - ] - } + "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, + "unit": {"type": "string", "enum": ["c", "f"]}, }, - "required": [ - "location" - ] - } + "required": ["location"], + }, ), PromptMessageTool( - name='get_stock_price', - description='Get the current stock price', + name="get_stock_price", + description="Get the current stock price", parameters={ "type": "object", - "properties": { - "symbol": { - "type": "string", - "description": "The stock symbol" - } - }, - "required": [ - "symbol" - ] - } - ) + "properties": {"symbol": {"type": "string", "description": "The stock symbol"}}, + "required": ["symbol"], + }, + ), ], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) assert isinstance(result.message, AssistantPromptMessage) assert len(result.message.tool_calls) > 0 -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_invoke_stream_chat_model(setup_openai_mock): model = OpenAILargeLanguageModel() result = model.invoke( - model='gpt-3.5-turbo', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - }, + model="gpt-3.5-turbo", + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 100 - }, + model_parameters={"temperature": 0.0, "max_tokens": 100}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(result, Generator) @@ -302,68 +236,46 @@ def test_get_num_tokens(): model = OpenAILargeLanguageModel() num_tokens = model.get_num_tokens( - model='gpt-3.5-turbo-instruct', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ] + model="gpt-3.5-turbo-instruct", + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, + prompt_messages=[UserPromptMessage(content="Hello World!")], ) assert num_tokens == 3 num_tokens = model.get_num_tokens( - model='gpt-3.5-turbo', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - }, + model="gpt-3.5-turbo", + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], tools=[ PromptMessageTool( - name='get_weather', - description='Determine weather in my location', + name="get_weather", + description="Determine weather in my location", parameters={ "type": "object", "properties": { - "location": { - "type": "string", - "description": "The city and state e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": [ - "c", - "f" - ] - } + "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, + "unit": {"type": "string", "enum": ["c", "f"]}, }, - "required": [ - "location" - ] - } + "required": ["location"], + }, ), - ] + ], ) assert num_tokens == 72 -@pytest.mark.parametrize('setup_openai_mock', [['chat', 'remote']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat", "remote"]], indirect=True) def test_fine_tuned_models(setup_openai_mock): model = OpenAILargeLanguageModel() - remote_models = model.remote_models(credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - }) + remote_models = model.remote_models(credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}) if not remote_models: assert isinstance(remote_models, list) @@ -379,29 +291,23 @@ def test_fine_tuned_models(setup_openai_mock): # test invoke result = model.invoke( model=llm_model.model, - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - }, + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 100 - }, + model_parameters={"temperature": 0.0, "max_tokens": 100}, stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) + def test__get_num_tokens_by_gpt2(): model = OpenAILargeLanguageModel() - num_tokens = model._get_num_tokens_by_gpt2('Hello World!') + num_tokens = model._get_num_tokens_by_gpt2("Hello World!") assert num_tokens == 3 diff --git a/api/tests/integration_tests/model_runtime/openai/test_moderation.py b/api/tests/integration_tests/model_runtime/openai/test_moderation.py index 04f9b9f33b..6de2624717 100644 --- a/api/tests/integration_tests/model_runtime/openai/test_moderation.py +++ b/api/tests/integration_tests/model_runtime/openai/test_moderation.py @@ -7,48 +7,37 @@ from core.model_runtime.model_providers.openai.moderation.moderation import Open from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock -@pytest.mark.parametrize('setup_openai_mock', [['moderation']], indirect=True) +@pytest.mark.parametrize("setup_openai_mock", [["moderation"]], indirect=True) def test_validate_credentials(setup_openai_mock): model = OpenAIModerationModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='text-moderation-stable', - credentials={ - 'openai_api_key': 'invalid_key' - } - ) + model.validate_credentials(model="text-moderation-stable", credentials={"openai_api_key": "invalid_key"}) model.validate_credentials( - model='text-moderation-stable', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - } + model="text-moderation-stable", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")} ) -@pytest.mark.parametrize('setup_openai_mock', [['moderation']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["moderation"]], indirect=True) def test_invoke_model(setup_openai_mock): model = OpenAIModerationModel() result = model.invoke( - model='text-moderation-stable', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - }, + model="text-moderation-stable", + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, text="hello", - user="abc-123" + user="abc-123", ) assert isinstance(result, bool) assert result is False result = model.invoke( - model='text-moderation-stable', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - }, + model="text-moderation-stable", + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, text="i will kill you", - user="abc-123" + user="abc-123", ) assert isinstance(result, bool) diff --git a/api/tests/integration_tests/model_runtime/openai/test_provider.py b/api/tests/integration_tests/model_runtime/openai/test_provider.py index 5314bffbdf..4d56cfcf3c 100644 --- a/api/tests/integration_tests/model_runtime/openai/test_provider.py +++ b/api/tests/integration_tests/model_runtime/openai/test_provider.py @@ -7,17 +7,11 @@ from core.model_runtime.model_providers.openai.openai import OpenAIProvider from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_validate_provider_credentials(setup_openai_mock): provider = OpenAIProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={} - ) + provider.validate_provider_credentials(credentials={}) - provider.validate_provider_credentials( - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - } - ) + provider.validate_provider_credentials(credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/openai/test_speech2text.py b/api/tests/integration_tests/model_runtime/openai/test_speech2text.py index f1a5c4fd23..aa92c8b61f 100644 --- a/api/tests/integration_tests/model_runtime/openai/test_speech2text.py +++ b/api/tests/integration_tests/model_runtime/openai/test_speech2text.py @@ -7,26 +7,17 @@ from core.model_runtime.model_providers.openai.speech2text.speech2text import Op from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock -@pytest.mark.parametrize('setup_openai_mock', [['speech2text']], indirect=True) +@pytest.mark.parametrize("setup_openai_mock", [["speech2text"]], indirect=True) def test_validate_credentials(setup_openai_mock): model = OpenAISpeech2TextModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='whisper-1', - credentials={ - 'openai_api_key': 'invalid_key' - } - ) + model.validate_credentials(model="whisper-1", credentials={"openai_api_key": "invalid_key"}) - model.validate_credentials( - model='whisper-1', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - } - ) + model.validate_credentials(model="whisper-1", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}) -@pytest.mark.parametrize('setup_openai_mock', [['speech2text']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["speech2text"]], indirect=True) def test_invoke_model(setup_openai_mock): model = OpenAISpeech2TextModel() @@ -34,23 +25,21 @@ def test_invoke_model(setup_openai_mock): current_dir = os.path.dirname(os.path.abspath(__file__)) # Get assets directory - assets_dir = os.path.join(os.path.dirname(current_dir), 'assets') + assets_dir = os.path.join(os.path.dirname(current_dir), "assets") # Construct the path to the audio file - audio_file_path = os.path.join(assets_dir, 'audio.mp3') + audio_file_path = os.path.join(assets_dir, "audio.mp3") # Open the file and get the file object - with open(audio_file_path, 'rb') as audio_file: + with open(audio_file_path, "rb") as audio_file: file = audio_file result = model.invoke( - model='whisper-1', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - }, + model="whisper-1", + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, file=file, - user="abc-123" + user="abc-123", ) assert isinstance(result, str) - assert result == '1, 2, 3, 4, 5, 6, 7, 8, 9, 10' + assert result == "1, 2, 3, 4, 5, 6, 7, 8, 9, 10" diff --git a/api/tests/integration_tests/model_runtime/openai/test_text_embedding.py b/api/tests/integration_tests/model_runtime/openai/test_text_embedding.py index e2c4c74ee7..f5dd73f2d4 100644 --- a/api/tests/integration_tests/model_runtime/openai/test_text_embedding.py +++ b/api/tests/integration_tests/model_runtime/openai/test_text_embedding.py @@ -8,42 +8,27 @@ from core.model_runtime.model_providers.openai.text_embedding.text_embedding imp from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock -@pytest.mark.parametrize('setup_openai_mock', [['text_embedding']], indirect=True) +@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True) def test_validate_credentials(setup_openai_mock): model = OpenAITextEmbeddingModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='text-embedding-ada-002', - credentials={ - 'openai_api_key': 'invalid_key' - } - ) + model.validate_credentials(model="text-embedding-ada-002", credentials={"openai_api_key": "invalid_key"}) model.validate_credentials( - model='text-embedding-ada-002', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - } + model="text-embedding-ada-002", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")} ) -@pytest.mark.parametrize('setup_openai_mock', [['text_embedding']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True) def test_invoke_model(setup_openai_mock): model = OpenAITextEmbeddingModel() result = model.invoke( - model='text-embedding-ada-002', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY'), - 'openai_api_base': 'https://api.openai.com' - }, - texts=[ - "hello", - "world", - " ".join(["long_text"] * 100), - " ".join(["another_long_text"] * 100) - ], - user="abc-123" + model="text-embedding-ada-002", + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY"), "openai_api_base": "https://api.openai.com"}, + texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) @@ -55,15 +40,9 @@ def test_get_num_tokens(): model = OpenAITextEmbeddingModel() num_tokens = model.get_num_tokens( - model='text-embedding-ada-002', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY'), - 'openai_api_base': 'https://api.openai.com' - }, - texts=[ - "hello", - "world" - ] + model="text-embedding-ada-002", + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY"), "openai_api_base": "https://api.openai.com"}, + texts=["hello", "world"], ) assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_llm.py b/api/tests/integration_tests/model_runtime/openai_api_compatible/test_llm.py index c833508569..f2302ef05e 100644 --- a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_llm.py +++ b/api/tests/integration_tests/model_runtime/openai_api_compatible/test_llm.py @@ -23,21 +23,17 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='mistralai/Mixtral-8x7B-Instruct-v0.1', - credentials={ - 'api_key': 'invalid_key', - 'endpoint_url': 'https://api.together.xyz/v1/', - 'mode': 'chat' - } + model="mistralai/Mixtral-8x7B-Instruct-v0.1", + credentials={"api_key": "invalid_key", "endpoint_url": "https://api.together.xyz/v1/", "mode": "chat"}, ) model.validate_credentials( - model='mistralai/Mixtral-8x7B-Instruct-v0.1', + model="mistralai/Mixtral-8x7B-Instruct-v0.1", credentials={ - 'api_key': os.environ.get('TOGETHER_API_KEY'), - 'endpoint_url': 'https://api.together.xyz/v1/', - 'mode': 'chat' - } + "api_key": os.environ.get("TOGETHER_API_KEY"), + "endpoint_url": "https://api.together.xyz/v1/", + "mode": "chat", + }, ) @@ -45,28 +41,26 @@ def test_invoke_model(): model = OAIAPICompatLargeLanguageModel() response = model.invoke( - model='mistralai/Mixtral-8x7B-Instruct-v0.1', + model="mistralai/Mixtral-8x7B-Instruct-v0.1", credentials={ - 'api_key': os.environ.get('TOGETHER_API_KEY'), - 'endpoint_url': 'https://api.together.xyz/v1/', - 'mode': 'completion' + "api_key": os.environ.get("TOGETHER_API_KEY"), + "endpoint_url": "https://api.together.xyz/v1/", + "mode": "completion", }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Who are you?' - ) + UserPromptMessage(content="Who are you?"), ], model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, + "temperature": 1.0, + "top_k": 2, + "top_p": 0.5, }, - stop=['How'], + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) @@ -77,29 +71,27 @@ def test_invoke_stream_model(): model = OAIAPICompatLargeLanguageModel() response = model.invoke( - model='mistralai/Mixtral-8x7B-Instruct-v0.1', + model="mistralai/Mixtral-8x7B-Instruct-v0.1", credentials={ - 'api_key': os.environ.get('TOGETHER_API_KEY'), - 'endpoint_url': 'https://api.together.xyz/v1/', - 'mode': 'chat', - 'stream_mode_delimiter': '\\n\\n' + "api_key": os.environ.get("TOGETHER_API_KEY"), + "endpoint_url": "https://api.together.xyz/v1/", + "mode": "chat", + "stream_mode_delimiter": "\\n\\n", }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Who are you?' - ) + UserPromptMessage(content="Who are you?"), ], model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, + "temperature": 1.0, + "top_k": 2, + "top_p": 0.5, }, - stop=['How'], + stop=["How"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -114,28 +106,26 @@ def test_invoke_stream_model_without_delimiter(): model = OAIAPICompatLargeLanguageModel() response = model.invoke( - model='mistralai/Mixtral-8x7B-Instruct-v0.1', + model="mistralai/Mixtral-8x7B-Instruct-v0.1", credentials={ - 'api_key': os.environ.get('TOGETHER_API_KEY'), - 'endpoint_url': 'https://api.together.xyz/v1/', - 'mode': 'chat' + "api_key": os.environ.get("TOGETHER_API_KEY"), + "endpoint_url": "https://api.together.xyz/v1/", + "mode": "chat", }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Who are you?' - ) + UserPromptMessage(content="Who are you?"), ], model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, + "temperature": 1.0, + "top_k": 2, + "top_p": 0.5, }, - stop=['How'], + stop=["How"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -151,51 +141,37 @@ def test_invoke_chat_model_with_tools(): model = OAIAPICompatLargeLanguageModel() result = model.invoke( - model='gpt-3.5-turbo', + model="gpt-3.5-turbo", credentials={ - 'api_key': os.environ.get('OPENAI_API_KEY'), - 'endpoint_url': 'https://api.openai.com/v1/', - 'mode': 'chat' + "api_key": os.environ.get("OPENAI_API_KEY"), + "endpoint_url": "https://api.openai.com/v1/", + "mode": "chat", }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), UserPromptMessage( content="what's the weather today in London?", - ) + ), ], tools=[ PromptMessageTool( - name='get_weather', - description='Determine weather in my location', + name="get_weather", + description="Determine weather in my location", parameters={ "type": "object", "properties": { - "location": { - "type": "string", - "description": "The city and state e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": [ - "celsius", - "fahrenheit" - ] - } + "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, + "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, }, - "required": [ - "location" - ] - } + "required": ["location"], + }, ), ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 1024 - }, + model_parameters={"temperature": 0.0, "max_tokens": 1024}, stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) @@ -207,19 +183,14 @@ def test_get_num_tokens(): model = OAIAPICompatLargeLanguageModel() num_tokens = model.get_num_tokens( - model='mistralai/Mixtral-8x7B-Instruct-v0.1', - credentials={ - 'api_key': os.environ.get('OPENAI_API_KEY'), - 'endpoint_url': 'https://api.openai.com/v1/' - }, + model="mistralai/Mixtral-8x7B-Instruct-v0.1", + credentials={"api_key": os.environ.get("OPENAI_API_KEY"), "endpoint_url": "https://api.openai.com/v1/"}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert isinstance(num_tokens, int) diff --git a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_speech2text.py b/api/tests/integration_tests/model_runtime/openai_api_compatible/test_speech2text.py index 61079104dc..cf805eafff 100644 --- a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_speech2text.py +++ b/api/tests/integration_tests/model_runtime/openai_api_compatible/test_speech2text.py @@ -14,18 +14,12 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( model="whisper-1", - credentials={ - "api_key": "invalid_key", - "endpoint_url": "https://api.openai.com/v1/" - }, + credentials={"api_key": "invalid_key", "endpoint_url": "https://api.openai.com/v1/"}, ) model.validate_credentials( model="whisper-1", - credentials={ - "api_key": os.environ.get("OPENAI_API_KEY"), - "endpoint_url": "https://api.openai.com/v1/" - }, + credentials={"api_key": os.environ.get("OPENAI_API_KEY"), "endpoint_url": "https://api.openai.com/v1/"}, ) @@ -47,13 +41,10 @@ def test_invoke_model(): result = model.invoke( model="whisper-1", - credentials={ - "api_key": os.environ.get("OPENAI_API_KEY"), - "endpoint_url": "https://api.openai.com/v1/" - }, + credentials={"api_key": os.environ.get("OPENAI_API_KEY"), "endpoint_url": "https://api.openai.com/v1/"}, file=file, user="abc-123", ) assert isinstance(result, str) - assert result == '1, 2, 3, 4, 5, 6, 7, 8, 9, 10' + assert result == "1, 2, 3, 4, 5, 6, 7, 8, 9, 10" diff --git a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_text_embedding.py b/api/tests/integration_tests/model_runtime/openai_api_compatible/test_text_embedding.py index 77d27ec161..052b41605f 100644 --- a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_text_embedding.py +++ b/api/tests/integration_tests/model_runtime/openai_api_compatible/test_text_embedding.py @@ -12,27 +12,23 @@ from core.model_runtime.model_providers.openai_api_compatible.text_embedding.tex Using OpenAI's API as testing endpoint """ + def test_validate_credentials(): model = OAICompatEmbeddingModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='text-embedding-ada-002', - credentials={ - 'api_key': 'invalid_key', - 'endpoint_url': 'https://api.openai.com/v1/', - 'context_size': 8184 - - } + model="text-embedding-ada-002", + credentials={"api_key": "invalid_key", "endpoint_url": "https://api.openai.com/v1/", "context_size": 8184}, ) model.validate_credentials( - model='text-embedding-ada-002', + model="text-embedding-ada-002", credentials={ - 'api_key': os.environ.get('OPENAI_API_KEY'), - 'endpoint_url': 'https://api.openai.com/v1/', - 'context_size': 8184 - } + "api_key": os.environ.get("OPENAI_API_KEY"), + "endpoint_url": "https://api.openai.com/v1/", + "context_size": 8184, + }, ) @@ -40,19 +36,14 @@ def test_invoke_model(): model = OAICompatEmbeddingModel() result = model.invoke( - model='text-embedding-ada-002', + model="text-embedding-ada-002", credentials={ - 'api_key': os.environ.get('OPENAI_API_KEY'), - 'endpoint_url': 'https://api.openai.com/v1/', - 'context_size': 8184 + "api_key": os.environ.get("OPENAI_API_KEY"), + "endpoint_url": "https://api.openai.com/v1/", + "context_size": 8184, }, - texts=[ - "hello", - "world", - " ".join(["long_text"] * 100), - " ".join(["another_long_text"] * 100) - ], - user="abc-123" + texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) @@ -64,16 +55,13 @@ def test_get_num_tokens(): model = OAICompatEmbeddingModel() num_tokens = model.get_num_tokens( - model='text-embedding-ada-002', + model="text-embedding-ada-002", credentials={ - 'api_key': os.environ.get('OPENAI_API_KEY'), - 'endpoint_url': 'https://api.openai.com/v1/embeddings', - 'context_size': 8184 + "api_key": os.environ.get("OPENAI_API_KEY"), + "endpoint_url": "https://api.openai.com/v1/embeddings", + "context_size": 8184, }, - texts=[ - "hello", - "world" - ] + texts=["hello", "world"], ) - assert num_tokens == 2 \ No newline at end of file + assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/openllm/test_embedding.py b/api/tests/integration_tests/model_runtime/openllm/test_embedding.py index 9eb05a111d..14d47217af 100644 --- a/api/tests/integration_tests/model_runtime/openllm/test_embedding.py +++ b/api/tests/integration_tests/model_runtime/openllm/test_embedding.py @@ -12,17 +12,17 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'server_url': 'ww' + os.environ.get('OPENLLM_SERVER_URL'), - } + "server_url": "ww" + os.environ.get("OPENLLM_SERVER_URL"), + }, ) model.validate_credentials( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'server_url': os.environ.get('OPENLLM_SERVER_URL'), - } + "server_url": os.environ.get("OPENLLM_SERVER_URL"), + }, ) @@ -30,33 +30,28 @@ def test_invoke_model(): model = OpenLLMTextEmbeddingModel() result = model.invoke( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'server_url': os.environ.get('OPENLLM_SERVER_URL'), + "server_url": os.environ.get("OPENLLM_SERVER_URL"), }, - texts=[ - "hello", - "world" - ], - user="abc-123" + texts=["hello", "world"], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) assert len(result.embeddings) == 2 assert result.usage.total_tokens > 0 + def test_get_num_tokens(): model = OpenLLMTextEmbeddingModel() num_tokens = model.get_num_tokens( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'server_url': os.environ.get('OPENLLM_SERVER_URL'), + "server_url": os.environ.get("OPENLLM_SERVER_URL"), }, - texts=[ - "hello", - "world" - ] + texts=["hello", "world"], ) assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/openllm/test_llm.py b/api/tests/integration_tests/model_runtime/openllm/test_llm.py index 853a0fbe3c..35939e3cfe 100644 --- a/api/tests/integration_tests/model_runtime/openllm/test_llm.py +++ b/api/tests/integration_tests/model_runtime/openllm/test_llm.py @@ -14,67 +14,61 @@ def test_validate_credentials_for_chat_model(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'server_url': 'invalid_key', - } + "server_url": "invalid_key", + }, ) model.validate_credentials( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'server_url': os.environ.get('OPENLLM_SERVER_URL'), - } + "server_url": os.environ.get("OPENLLM_SERVER_URL"), + }, ) + def test_invoke_model(): model = OpenLLMLargeLanguageModel() response = model.invoke( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'server_url': os.environ.get('OPENLLM_SERVER_URL'), + "server_url": os.environ.get("OPENLLM_SERVER_URL"), }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], + prompt_messages=[UserPromptMessage(content="Hello World!")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, - 'top_k': 1, + "temperature": 0.7, + "top_p": 1.0, + "top_k": 1, }, - stop=['you'], + stop=["you"], user="abc-123", - stream=False + stream=False, ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 assert response.usage.total_tokens > 0 + def test_invoke_stream_model(): model = OpenLLMLargeLanguageModel() response = model.invoke( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'server_url': os.environ.get('OPENLLM_SERVER_URL'), + "server_url": os.environ.get("OPENLLM_SERVER_URL"), }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], + prompt_messages=[UserPromptMessage(content="Hello World!")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, - 'top_k': 1, + "temperature": 0.7, + "top_p": 1.0, + "top_k": 1, }, - stop=['you'], + stop=["you"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -84,21 +78,18 @@ def test_invoke_stream_model(): assert isinstance(chunk.delta.message, AssistantPromptMessage) assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True + def test_get_num_tokens(): model = OpenLLMLargeLanguageModel() response = model.get_num_tokens( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'server_url': os.environ.get('OPENLLM_SERVER_URL'), + "server_url": os.environ.get("OPENLLM_SERVER_URL"), }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - tools=[] + prompt_messages=[UserPromptMessage(content="Hello World!")], + tools=[], ) assert isinstance(response, int) - assert response == 3 \ No newline at end of file + assert response == 3 diff --git a/api/tests/integration_tests/model_runtime/openrouter/test_llm.py b/api/tests/integration_tests/model_runtime/openrouter/test_llm.py index 8f1fb4c4ad..ce4876a73a 100644 --- a/api/tests/integration_tests/model_runtime/openrouter/test_llm.py +++ b/api/tests/integration_tests/model_runtime/openrouter/test_llm.py @@ -19,19 +19,12 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='mistralai/mixtral-8x7b-instruct', - credentials={ - 'api_key': 'invalid_key', - 'mode': 'chat' - } + model="mistralai/mixtral-8x7b-instruct", credentials={"api_key": "invalid_key", "mode": "chat"} ) model.validate_credentials( - model='mistralai/mixtral-8x7b-instruct', - credentials={ - 'api_key': os.environ.get('TOGETHER_API_KEY'), - 'mode': 'chat' - } + model="mistralai/mixtral-8x7b-instruct", + credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "chat"}, ) @@ -39,27 +32,22 @@ def test_invoke_model(): model = OpenRouterLargeLanguageModel() response = model.invoke( - model='mistralai/mixtral-8x7b-instruct', - credentials={ - 'api_key': os.environ.get('TOGETHER_API_KEY'), - 'mode': 'completion' - }, + model="mistralai/mixtral-8x7b-instruct", + credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "completion"}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Who are you?' - ) + UserPromptMessage(content="Who are you?"), ], model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, + "temperature": 1.0, + "top_k": 2, + "top_p": 0.5, }, - stop=['How'], + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) @@ -70,27 +58,22 @@ def test_invoke_stream_model(): model = OpenRouterLargeLanguageModel() response = model.invoke( - model='mistralai/mixtral-8x7b-instruct', - credentials={ - 'api_key': os.environ.get('TOGETHER_API_KEY'), - 'mode': 'chat' - }, + model="mistralai/mixtral-8x7b-instruct", + credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "chat"}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Who are you?' - ) + UserPromptMessage(content="Who are you?"), ], model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, + "temperature": 1.0, + "top_k": 2, + "top_p": 0.5, }, - stop=['How'], + stop=["How"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -105,18 +88,16 @@ def test_get_num_tokens(): model = OpenRouterLargeLanguageModel() num_tokens = model.get_num_tokens( - model='mistralai/mixtral-8x7b-instruct', + model="mistralai/mixtral-8x7b-instruct", credentials={ - 'api_key': os.environ.get('TOGETHER_API_KEY'), + "api_key": os.environ.get("TOGETHER_API_KEY"), }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert isinstance(num_tokens, int) diff --git a/api/tests/integration_tests/model_runtime/replicate/test_llm.py b/api/tests/integration_tests/model_runtime/replicate/test_llm.py index e248f064c0..b940005b71 100644 --- a/api/tests/integration_tests/model_runtime/replicate/test_llm.py +++ b/api/tests/integration_tests/model_runtime/replicate/test_llm.py @@ -14,19 +14,19 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='meta/llama-2-13b-chat', + model="meta/llama-2-13b-chat", credentials={ - 'replicate_api_token': 'invalid_key', - 'model_version': 'f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d' - } + "replicate_api_token": "invalid_key", + "model_version": "f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d", + }, ) model.validate_credentials( - model='meta/llama-2-13b-chat', + model="meta/llama-2-13b-chat", credentials={ - 'replicate_api_token': os.environ.get('REPLICATE_API_KEY'), - 'model_version': 'f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d' - } + "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), + "model_version": "f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d", + }, ) @@ -34,27 +34,25 @@ def test_invoke_model(): model = ReplicateLargeLanguageModel() response = model.invoke( - model='meta/llama-2-13b-chat', + model="meta/llama-2-13b-chat", credentials={ - 'replicate_api_token': os.environ.get('REPLICATE_API_KEY'), - 'model_version': 'f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d' + "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), + "model_version": "f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d", }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Who are you?' - ) + UserPromptMessage(content="Who are you?"), ], model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, + "temperature": 1.0, + "top_k": 2, + "top_p": 0.5, }, - stop=['How'], + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) @@ -65,27 +63,25 @@ def test_invoke_stream_model(): model = ReplicateLargeLanguageModel() response = model.invoke( - model='mistralai/mixtral-8x7b-instruct-v0.1', + model="mistralai/mixtral-8x7b-instruct-v0.1", credentials={ - 'replicate_api_token': os.environ.get('REPLICATE_API_KEY'), - 'model_version': '2b56576fcfbe32fa0526897d8385dd3fb3d36ba6fd0dbe033c72886b81ade93e' + "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), + "model_version": "2b56576fcfbe32fa0526897d8385dd3fb3d36ba6fd0dbe033c72886b81ade93e", }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Who are you?' - ) + UserPromptMessage(content="Who are you?"), ], model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, + "temperature": 1.0, + "top_k": 2, + "top_p": 0.5, }, - stop=['How'], + stop=["How"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -100,19 +96,17 @@ def test_get_num_tokens(): model = ReplicateLargeLanguageModel() num_tokens = model.get_num_tokens( - model='', + model="", credentials={ - 'replicate_api_token': os.environ.get('REPLICATE_API_KEY'), - 'model_version': '2b56576fcfbe32fa0526897d8385dd3fb3d36ba6fd0dbe033c72886b81ade93e' + "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), + "model_version": "2b56576fcfbe32fa0526897d8385dd3fb3d36ba6fd0dbe033c72886b81ade93e", }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert num_tokens == 14 diff --git a/api/tests/integration_tests/model_runtime/replicate/test_text_embedding.py b/api/tests/integration_tests/model_runtime/replicate/test_text_embedding.py index 5708ec9e5a..397715f225 100644 --- a/api/tests/integration_tests/model_runtime/replicate/test_text_embedding.py +++ b/api/tests/integration_tests/model_runtime/replicate/test_text_embedding.py @@ -12,19 +12,19 @@ def test_validate_credentials_one(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='replicate/all-mpnet-base-v2', + model="replicate/all-mpnet-base-v2", credentials={ - 'replicate_api_token': 'invalid_key', - 'model_version': 'b6b7585c9640cd7a9572c6e129c9549d79c9c31f0d3fdce7baac7c67ca38f305' - } + "replicate_api_token": "invalid_key", + "model_version": "b6b7585c9640cd7a9572c6e129c9549d79c9c31f0d3fdce7baac7c67ca38f305", + }, ) model.validate_credentials( - model='replicate/all-mpnet-base-v2', + model="replicate/all-mpnet-base-v2", credentials={ - 'replicate_api_token': os.environ.get('REPLICATE_API_KEY'), - 'model_version': 'b6b7585c9640cd7a9572c6e129c9549d79c9c31f0d3fdce7baac7c67ca38f305' - } + "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), + "model_version": "b6b7585c9640cd7a9572c6e129c9549d79c9c31f0d3fdce7baac7c67ca38f305", + }, ) @@ -33,19 +33,19 @@ def test_validate_credentials_two(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='nateraw/bge-large-en-v1.5', + model="nateraw/bge-large-en-v1.5", credentials={ - 'replicate_api_token': 'invalid_key', - 'model_version': '9cf9f015a9cb9c61d1a2610659cdac4a4ca222f2d3707a68517b18c198a9add1' - } + "replicate_api_token": "invalid_key", + "model_version": "9cf9f015a9cb9c61d1a2610659cdac4a4ca222f2d3707a68517b18c198a9add1", + }, ) model.validate_credentials( - model='nateraw/bge-large-en-v1.5', + model="nateraw/bge-large-en-v1.5", credentials={ - 'replicate_api_token': os.environ.get('REPLICATE_API_KEY'), - 'model_version': '9cf9f015a9cb9c61d1a2610659cdac4a4ca222f2d3707a68517b18c198a9add1' - } + "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), + "model_version": "9cf9f015a9cb9c61d1a2610659cdac4a4ca222f2d3707a68517b18c198a9add1", + }, ) @@ -53,16 +53,13 @@ def test_invoke_model_one(): model = ReplicateEmbeddingModel() result = model.invoke( - model='nateraw/bge-large-en-v1.5', + model="nateraw/bge-large-en-v1.5", credentials={ - 'replicate_api_token': os.environ.get('REPLICATE_API_KEY'), - 'model_version': '9cf9f015a9cb9c61d1a2610659cdac4a4ca222f2d3707a68517b18c198a9add1' + "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), + "model_version": "9cf9f015a9cb9c61d1a2610659cdac4a4ca222f2d3707a68517b18c198a9add1", }, - texts=[ - "hello", - "world" - ], - user="abc-123" + texts=["hello", "world"], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) @@ -74,16 +71,13 @@ def test_invoke_model_two(): model = ReplicateEmbeddingModel() result = model.invoke( - model='andreasjansson/clip-features', + model="andreasjansson/clip-features", credentials={ - 'replicate_api_token': os.environ.get('REPLICATE_API_KEY'), - 'model_version': '75b33f253f7714a281ad3e9b28f63e3232d583716ef6718f2e46641077ea040a' + "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), + "model_version": "75b33f253f7714a281ad3e9b28f63e3232d583716ef6718f2e46641077ea040a", }, - texts=[ - "hello", - "world" - ], - user="abc-123" + texts=["hello", "world"], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) @@ -95,16 +89,13 @@ def test_invoke_model_three(): model = ReplicateEmbeddingModel() result = model.invoke( - model='replicate/all-mpnet-base-v2', + model="replicate/all-mpnet-base-v2", credentials={ - 'replicate_api_token': os.environ.get('REPLICATE_API_KEY'), - 'model_version': 'b6b7585c9640cd7a9572c6e129c9549d79c9c31f0d3fdce7baac7c67ca38f305' + "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), + "model_version": "b6b7585c9640cd7a9572c6e129c9549d79c9c31f0d3fdce7baac7c67ca38f305", }, - texts=[ - "hello", - "world" - ], - user="abc-123" + texts=["hello", "world"], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) @@ -116,16 +107,13 @@ def test_invoke_model_four(): model = ReplicateEmbeddingModel() result = model.invoke( - model='nateraw/jina-embeddings-v2-base-en', + model="nateraw/jina-embeddings-v2-base-en", credentials={ - 'replicate_api_token': os.environ.get('REPLICATE_API_KEY'), - 'model_version': 'f8367a1c072ba2bc28af549d1faeacfe9b88b3f0e475add7a75091dac507f79e' + "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), + "model_version": "f8367a1c072ba2bc28af549d1faeacfe9b88b3f0e475add7a75091dac507f79e", }, - texts=[ - "hello", - "world" - ], - user="abc-123" + texts=["hello", "world"], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) @@ -137,15 +125,12 @@ def test_get_num_tokens(): model = ReplicateEmbeddingModel() num_tokens = model.get_num_tokens( - model='nateraw/jina-embeddings-v2-base-en', + model="nateraw/jina-embeddings-v2-base-en", credentials={ - 'replicate_api_token': os.environ.get('REPLICATE_API_KEY'), - 'model_version': 'f8367a1c072ba2bc28af549d1faeacfe9b88b3f0e475add7a75091dac507f79e' + "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), + "model_version": "f8367a1c072ba2bc28af549d1faeacfe9b88b3f0e475add7a75091dac507f79e", }, - texts=[ - "hello", - "world" - ] + texts=["hello", "world"], ) assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/sagemaker/test_provider.py b/api/tests/integration_tests/model_runtime/sagemaker/test_provider.py index 639227e745..9f0b439d6c 100644 --- a/api/tests/integration_tests/model_runtime/sagemaker/test_provider.py +++ b/api/tests/integration_tests/model_runtime/sagemaker/test_provider.py @@ -10,10 +10,6 @@ def test_validate_provider_credentials(): provider = SageMakerProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={} - ) + provider.validate_provider_credentials(credentials={}) - provider.validate_provider_credentials( - credentials={} - ) + provider.validate_provider_credentials(credentials={}) diff --git a/api/tests/integration_tests/model_runtime/sagemaker/test_rerank.py b/api/tests/integration_tests/model_runtime/sagemaker/test_rerank.py index c67849dd79..d5a6798a1e 100644 --- a/api/tests/integration_tests/model_runtime/sagemaker/test_rerank.py +++ b/api/tests/integration_tests/model_runtime/sagemaker/test_rerank.py @@ -12,11 +12,11 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='bge-m3-rerank-v2', + model="bge-m3-rerank-v2", credentials={ "aws_region": os.getenv("AWS_REGION"), "aws_access_key": os.getenv("AWS_ACCESS_KEY"), - "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY") + "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"), }, query="What is the capital of the United States?", docs=[ @@ -25,7 +25,7 @@ def test_validate_credentials(): "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " "are a political division controlled by the United States. Its capital is Saipan.", ], - score_threshold=0.8 + score_threshold=0.8, ) @@ -33,11 +33,11 @@ def test_invoke_model(): model = SageMakerRerankModel() result = model.invoke( - model='bge-m3-rerank-v2', + model="bge-m3-rerank-v2", credentials={ "aws_region": os.getenv("AWS_REGION"), "aws_access_key": os.getenv("AWS_ACCESS_KEY"), - "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY") + "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"), }, query="What is the capital of the United States?", docs=[ @@ -46,7 +46,7 @@ def test_invoke_model(): "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " "are a political division controlled by the United States. Its capital is Saipan.", ], - score_threshold=0.8 + score_threshold=0.8, ) assert isinstance(result, RerankResult) diff --git a/api/tests/integration_tests/model_runtime/sagemaker/test_text_embedding.py b/api/tests/integration_tests/model_runtime/sagemaker/test_text_embedding.py index e817e8f04a..e4e404c7a8 100644 --- a/api/tests/integration_tests/model_runtime/sagemaker/test_text_embedding.py +++ b/api/tests/integration_tests/model_runtime/sagemaker/test_text_embedding.py @@ -11,45 +11,23 @@ def test_validate_credentials(): model = SageMakerEmbeddingModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='bge-m3', - credentials={ - } - ) + model.validate_credentials(model="bge-m3", credentials={}) - model.validate_credentials( - model='bge-m3-embedding', - credentials={ - } - ) + model.validate_credentials(model="bge-m3-embedding", credentials={}) def test_invoke_model(): model = SageMakerEmbeddingModel() - result = model.invoke( - model='bge-m3-embedding', - credentials={ - }, - texts=[ - "hello", - "world" - ], - user="abc-123" - ) + result = model.invoke(model="bge-m3-embedding", credentials={}, texts=["hello", "world"], user="abc-123") assert isinstance(result, TextEmbeddingResult) assert len(result.embeddings) == 2 + def test_get_num_tokens(): model = SageMakerEmbeddingModel() - num_tokens = model.get_num_tokens( - model='bge-m3-embedding', - credentials={ - }, - texts=[ - ] - ) + num_tokens = model.get_num_tokens(model="bge-m3-embedding", credentials={}, texts=[]) assert num_tokens == 0 diff --git a/api/tests/integration_tests/model_runtime/siliconflow/test_llm.py b/api/tests/integration_tests/model_runtime/siliconflow/test_llm.py index befdd82352..f47c9c5588 100644 --- a/api/tests/integration_tests/model_runtime/siliconflow/test_llm.py +++ b/api/tests/integration_tests/model_runtime/siliconflow/test_llm.py @@ -13,41 +13,22 @@ def test_validate_credentials(): model = SiliconflowLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='deepseek-ai/DeepSeek-V2-Chat', - credentials={ - 'api_key': 'invalid_key' - } - ) + model.validate_credentials(model="deepseek-ai/DeepSeek-V2-Chat", credentials={"api_key": "invalid_key"}) - model.validate_credentials( - model='deepseek-ai/DeepSeek-V2-Chat', - credentials={ - 'api_key': os.environ.get('API_KEY') - } - ) + model.validate_credentials(model="deepseek-ai/DeepSeek-V2-Chat", credentials={"api_key": os.environ.get("API_KEY")}) def test_invoke_model(): model = SiliconflowLargeLanguageModel() response = model.invoke( - model='deepseek-ai/DeepSeek-V2-Chat', - credentials={ - 'api_key': os.environ.get('API_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Who are you?' - ) - ], - model_parameters={ - 'temperature': 0.5, - 'max_tokens': 10 - }, - stop=['How'], + model="deepseek-ai/DeepSeek-V2-Chat", + credentials={"api_key": os.environ.get("API_KEY")}, + prompt_messages=[UserPromptMessage(content="Who are you?")], + model_parameters={"temperature": 0.5, "max_tokens": 10}, + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) @@ -58,22 +39,12 @@ def test_invoke_stream_model(): model = SiliconflowLargeLanguageModel() response = model.invoke( - model='deepseek-ai/DeepSeek-V2-Chat', - credentials={ - 'api_key': os.environ.get('API_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - model_parameters={ - 'temperature': 0.5, - 'max_tokens': 100, - 'seed': 1234 - }, + model="deepseek-ai/DeepSeek-V2-Chat", + credentials={"api_key": os.environ.get("API_KEY")}, + prompt_messages=[UserPromptMessage(content="Hello World!")], + model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -89,18 +60,14 @@ def test_get_num_tokens(): model = SiliconflowLargeLanguageModel() num_tokens = model.get_num_tokens( - model='deepseek-ai/DeepSeek-V2-Chat', - credentials={ - 'api_key': os.environ.get('API_KEY') - }, + model="deepseek-ai/DeepSeek-V2-Chat", + credentials={"api_key": os.environ.get("API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert num_tokens == 12 diff --git a/api/tests/integration_tests/model_runtime/siliconflow/test_provider.py b/api/tests/integration_tests/model_runtime/siliconflow/test_provider.py index 7b9211a5db..8f70210b7a 100644 --- a/api/tests/integration_tests/model_runtime/siliconflow/test_provider.py +++ b/api/tests/integration_tests/model_runtime/siliconflow/test_provider.py @@ -10,12 +10,6 @@ def test_validate_provider_credentials(): provider = SiliconflowProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={} - ) + provider.validate_provider_credentials(credentials={}) - provider.validate_provider_credentials( - credentials={ - 'api_key': os.environ.get('API_KEY') - } - ) + provider.validate_provider_credentials(credentials={"api_key": os.environ.get("API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/siliconflow/test_rerank.py b/api/tests/integration_tests/model_runtime/siliconflow/test_rerank.py index 7b3ff82727..ad794613f9 100644 --- a/api/tests/integration_tests/model_runtime/siliconflow/test_rerank.py +++ b/api/tests/integration_tests/model_runtime/siliconflow/test_rerank.py @@ -13,9 +13,7 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( model="BAAI/bge-reranker-v2-m3", - credentials={ - "api_key": "invalid_key" - }, + credentials={"api_key": "invalid_key"}, ) model.validate_credentials( @@ -30,17 +28,17 @@ def test_invoke_model(): model = SiliconflowRerankModel() result = model.invoke( - model='BAAI/bge-reranker-v2-m3', + model="BAAI/bge-reranker-v2-m3", credentials={ "api_key": os.environ.get("API_KEY"), }, query="Who is Kasumi?", docs=[ - "Kasumi is a girl's name of Japanese origin meaning \"mist\".", + 'Kasumi is a girl\'s name of Japanese origin meaning "mist".', "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music ", - "and she leads a team named PopiParty." + "and she leads a team named PopiParty.", ], - score_threshold=0.8 + score_threshold=0.8, ) assert isinstance(result, RerankResult) diff --git a/api/tests/integration_tests/model_runtime/siliconflow/test_speech2text.py b/api/tests/integration_tests/model_runtime/siliconflow/test_speech2text.py index 82b7921c85..0502ba5ab4 100644 --- a/api/tests/integration_tests/model_runtime/siliconflow/test_speech2text.py +++ b/api/tests/integration_tests/model_runtime/siliconflow/test_speech2text.py @@ -12,16 +12,12 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( model="iic/SenseVoiceSmall", - credentials={ - "api_key": "invalid_key" - }, + credentials={"api_key": "invalid_key"}, ) model.validate_credentials( model="iic/SenseVoiceSmall", - credentials={ - "api_key": os.environ.get("API_KEY") - }, + credentials={"api_key": os.environ.get("API_KEY")}, ) @@ -42,12 +38,8 @@ def test_invoke_model(): file = audio_file result = model.invoke( - model="iic/SenseVoiceSmall", - credentials={ - "api_key": os.environ.get("API_KEY") - }, - file=file + model="iic/SenseVoiceSmall", credentials={"api_key": os.environ.get("API_KEY")}, file=file ) assert isinstance(result, str) - assert result == '1,2,3,4,5,6,7,8,9,10.' + assert result == "1,2,3,4,5,6,7,8,9,10." diff --git a/api/tests/integration_tests/model_runtime/siliconflow/test_text_embedding.py b/api/tests/integration_tests/model_runtime/siliconflow/test_text_embedding.py index 18bd2e893a..ab143c1061 100644 --- a/api/tests/integration_tests/model_runtime/siliconflow/test_text_embedding.py +++ b/api/tests/integration_tests/model_runtime/siliconflow/test_text_embedding.py @@ -15,9 +15,7 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( model="BAAI/bge-large-zh-v1.5", - credentials={ - "api_key": "invalid_key" - }, + credentials={"api_key": "invalid_key"}, ) model.validate_credentials( diff --git a/api/tests/integration_tests/model_runtime/spark/test_llm.py b/api/tests/integration_tests/model_runtime/spark/test_llm.py index 706316449d..4fe2fd8c0a 100644 --- a/api/tests/integration_tests/model_runtime/spark/test_llm.py +++ b/api/tests/integration_tests/model_runtime/spark/test_llm.py @@ -13,20 +13,15 @@ def test_validate_credentials(): model = SparkLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='spark-1.5', - credentials={ - 'app_id': 'invalid_key' - } - ) + model.validate_credentials(model="spark-1.5", credentials={"app_id": "invalid_key"}) model.validate_credentials( - model='spark-1.5', + model="spark-1.5", credentials={ - 'app_id': os.environ.get('SPARK_APP_ID'), - 'api_secret': os.environ.get('SPARK_API_SECRET'), - 'api_key': os.environ.get('SPARK_API_KEY') - } + "app_id": os.environ.get("SPARK_APP_ID"), + "api_secret": os.environ.get("SPARK_API_SECRET"), + "api_key": os.environ.get("SPARK_API_KEY"), + }, ) @@ -34,24 +29,17 @@ def test_invoke_model(): model = SparkLargeLanguageModel() response = model.invoke( - model='spark-1.5', + model="spark-1.5", credentials={ - 'app_id': os.environ.get('SPARK_APP_ID'), - 'api_secret': os.environ.get('SPARK_API_SECRET'), - 'api_key': os.environ.get('SPARK_API_KEY') + "app_id": os.environ.get("SPARK_APP_ID"), + "api_secret": os.environ.get("SPARK_API_SECRET"), + "api_key": os.environ.get("SPARK_API_KEY"), }, - prompt_messages=[ - UserPromptMessage( - content='Who are you?' - ) - ], - model_parameters={ - 'temperature': 0.5, - 'max_tokens': 10 - }, - stop=['How'], + prompt_messages=[UserPromptMessage(content="Who are you?")], + model_parameters={"temperature": 0.5, "max_tokens": 10}, + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) @@ -62,23 +50,16 @@ def test_invoke_stream_model(): model = SparkLargeLanguageModel() response = model.invoke( - model='spark-1.5', + model="spark-1.5", credentials={ - 'app_id': os.environ.get('SPARK_APP_ID'), - 'api_secret': os.environ.get('SPARK_API_SECRET'), - 'api_key': os.environ.get('SPARK_API_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - model_parameters={ - 'temperature': 0.5, - 'max_tokens': 100 + "app_id": os.environ.get("SPARK_APP_ID"), + "api_secret": os.environ.get("SPARK_API_SECRET"), + "api_key": os.environ.get("SPARK_API_KEY"), }, + prompt_messages=[UserPromptMessage(content="Hello World!")], + model_parameters={"temperature": 0.5, "max_tokens": 100}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -94,20 +75,18 @@ def test_get_num_tokens(): model = SparkLargeLanguageModel() num_tokens = model.get_num_tokens( - model='spark-1.5', + model="spark-1.5", credentials={ - 'app_id': os.environ.get('SPARK_APP_ID'), - 'api_secret': os.environ.get('SPARK_API_SECRET'), - 'api_key': os.environ.get('SPARK_API_KEY') + "app_id": os.environ.get("SPARK_APP_ID"), + "api_secret": os.environ.get("SPARK_API_SECRET"), + "api_key": os.environ.get("SPARK_API_KEY"), }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert num_tokens == 14 diff --git a/api/tests/integration_tests/model_runtime/spark/test_provider.py b/api/tests/integration_tests/model_runtime/spark/test_provider.py index 8e22815a86..9da0df6bb3 100644 --- a/api/tests/integration_tests/model_runtime/spark/test_provider.py +++ b/api/tests/integration_tests/model_runtime/spark/test_provider.py @@ -10,14 +10,12 @@ def test_validate_provider_credentials(): provider = SparkProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={} - ) + provider.validate_provider_credentials(credentials={}) provider.validate_provider_credentials( credentials={ - 'app_id': os.environ.get('SPARK_APP_ID'), - 'api_secret': os.environ.get('SPARK_API_SECRET'), - 'api_key': os.environ.get('SPARK_API_KEY') + "app_id": os.environ.get("SPARK_APP_ID"), + "api_secret": os.environ.get("SPARK_API_SECRET"), + "api_key": os.environ.get("SPARK_API_KEY"), } ) diff --git a/api/tests/integration_tests/model_runtime/stepfun/test_llm.py b/api/tests/integration_tests/model_runtime/stepfun/test_llm.py index d703147d63..c03b1bae1f 100644 --- a/api/tests/integration_tests/model_runtime/stepfun/test_llm.py +++ b/api/tests/integration_tests/model_runtime/stepfun/test_llm.py @@ -21,40 +21,22 @@ def test_validate_credentials(): model = StepfunLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='step-1-8k', - credentials={ - 'api_key': 'invalid_key' - } - ) + model.validate_credentials(model="step-1-8k", credentials={"api_key": "invalid_key"}) + + model.validate_credentials(model="step-1-8k", credentials={"api_key": os.environ.get("STEPFUN_API_KEY")}) - model.validate_credentials( - model='step-1-8k', - credentials={ - 'api_key': os.environ.get('STEPFUN_API_KEY') - } - ) def test_invoke_model(): model = StepfunLargeLanguageModel() response = model.invoke( - model='step-1-8k', - credentials={ - 'api_key': os.environ.get('STEPFUN_API_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - model_parameters={ - 'temperature': 0.9, - 'top_p': 0.7 - }, - stop=['Hi'], + model="step-1-8k", + credentials={"api_key": os.environ.get("STEPFUN_API_KEY")}, + prompt_messages=[UserPromptMessage(content="Hello World!")], + model_parameters={"temperature": 0.9, "top_p": 0.7}, + stop=["Hi"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) @@ -65,24 +47,17 @@ def test_invoke_stream_model(): model = StepfunLargeLanguageModel() response = model.invoke( - model='step-1-8k', - credentials={ - 'api_key': os.environ.get('STEPFUN_API_KEY') - }, + model="step-1-8k", + credentials={"api_key": os.environ.get("STEPFUN_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], - model_parameters={ - 'temperature': 0.9, - 'top_p': 0.7 - }, + model_parameters={"temperature": 0.9, "top_p": 0.7}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -98,10 +73,7 @@ def test_get_customizable_model_schema(): model = StepfunLargeLanguageModel() schema = model.get_customizable_model_schema( - model='step-1-8k', - credentials={ - 'api_key': os.environ.get('STEPFUN_API_KEY') - } + model="step-1-8k", credentials={"api_key": os.environ.get("STEPFUN_API_KEY")} ) assert isinstance(schema, AIModelEntity) @@ -110,67 +82,44 @@ def test_invoke_chat_model_with_tools(): model = StepfunLargeLanguageModel() result = model.invoke( - model='step-1-8k', - credentials={ - 'api_key': os.environ.get('STEPFUN_API_KEY') - }, + model="step-1-8k", + credentials={"api_key": os.environ.get("STEPFUN_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), UserPromptMessage( content="what's the weather today in Shanghai?", - ) + ), ], - model_parameters={ - 'temperature': 0.9, - 'max_tokens': 100 - }, + model_parameters={"temperature": 0.9, "max_tokens": 100}, tools=[ PromptMessageTool( - name='get_weather', - description='Determine weather in my location', + name="get_weather", + description="Determine weather in my location", parameters={ "type": "object", "properties": { - "location": { - "type": "string", - "description": "The city and state e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": [ - "c", - "f" - ] - } + "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, + "unit": {"type": "string", "enum": ["c", "f"]}, }, - "required": [ - "location" - ] - } + "required": ["location"], + }, ), PromptMessageTool( - name='get_stock_price', - description='Get the current stock price', + name="get_stock_price", + description="Get the current stock price", parameters={ "type": "object", - "properties": { - "symbol": { - "type": "string", - "description": "The stock symbol" - } - }, - "required": [ - "symbol" - ] - } - ) + "properties": {"symbol": {"type": "string", "description": "The stock symbol"}}, + "required": ["symbol"], + }, + ), ], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) assert isinstance(result.message, AssistantPromptMessage) - assert len(result.message.tool_calls) > 0 \ No newline at end of file + assert len(result.message.tool_calls) > 0 diff --git a/api/tests/integration_tests/model_runtime/test_model_provider_factory.py b/api/tests/integration_tests/model_runtime/test_model_provider_factory.py index fd8aa3f610..0ec4b0b724 100644 --- a/api/tests/integration_tests/model_runtime/test_model_provider_factory.py +++ b/api/tests/integration_tests/model_runtime/test_model_provider_factory.py @@ -24,13 +24,8 @@ def test_get_models(): providers = factory.get_models( model_type=ModelType.LLM, provider_configs=[ - ProviderConfig( - provider='openai', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - } - ) - ] + ProviderConfig(provider="openai", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}) + ], ) logger.debug(providers) @@ -44,29 +39,21 @@ def test_get_models(): assert provider_model.model_type == ModelType.LLM providers = factory.get_models( - provider='openai', + provider="openai", provider_configs=[ - ProviderConfig( - provider='openai', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - } - ) - ] + ProviderConfig(provider="openai", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}) + ], ) assert len(providers) == 1 assert isinstance(providers[0], SimpleProviderEntity) - assert providers[0].provider == 'openai' + assert providers[0].provider == "openai" def test_provider_credentials_validate(): factory = ModelProviderFactory() factory.provider_credentials_validate( - provider='openai', - credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - } + provider="openai", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")} ) @@ -79,4 +66,4 @@ def test__get_model_provider_map(): logger.debug(model_provider.provider_instance) assert len(model_providers) >= 1 - assert isinstance(model_providers['openai'], ModelProviderExtension) + assert isinstance(model_providers["openai"], ModelProviderExtension) diff --git a/api/tests/integration_tests/model_runtime/togetherai/test_llm.py b/api/tests/integration_tests/model_runtime/togetherai/test_llm.py index 698f534517..06ebc2a82d 100644 --- a/api/tests/integration_tests/model_runtime/togetherai/test_llm.py +++ b/api/tests/integration_tests/model_runtime/togetherai/test_llm.py @@ -19,76 +19,61 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='mistralai/Mixtral-8x7B-Instruct-v0.1', - credentials={ - 'api_key': 'invalid_key', - 'mode': 'chat' - } + model="mistralai/Mixtral-8x7B-Instruct-v0.1", credentials={"api_key": "invalid_key", "mode": "chat"} ) model.validate_credentials( - model='mistralai/Mixtral-8x7B-Instruct-v0.1', - credentials={ - 'api_key': os.environ.get('TOGETHER_API_KEY'), - 'mode': 'chat' - } + model="mistralai/Mixtral-8x7B-Instruct-v0.1", + credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "chat"}, ) + def test_invoke_model(): model = TogetherAILargeLanguageModel() response = model.invoke( - model='mistralai/Mixtral-8x7B-Instruct-v0.1', - credentials={ - 'api_key': os.environ.get('TOGETHER_API_KEY'), - 'mode': 'completion' - }, + model="mistralai/Mixtral-8x7B-Instruct-v0.1", + credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "completion"}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Who are you?' - ) + UserPromptMessage(content="Who are you?"), ], model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, + "temperature": 1.0, + "top_k": 2, + "top_p": 0.5, }, - stop=['How'], + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 + def test_invoke_stream_model(): model = TogetherAILargeLanguageModel() response = model.invoke( - model='mistralai/Mixtral-8x7B-Instruct-v0.1', - credentials={ - 'api_key': os.environ.get('TOGETHER_API_KEY'), - 'mode': 'chat' - }, + model="mistralai/Mixtral-8x7B-Instruct-v0.1", + credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "chat"}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Who are you?' - ) + UserPromptMessage(content="Who are you?"), ], model_parameters={ - 'temperature': 1.0, - 'top_k': 2, - 'top_p': 0.5, + "temperature": 1.0, + "top_k": 2, + "top_p": 0.5, }, - stop=['How'], + stop=["How"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -98,22 +83,21 @@ def test_invoke_stream_model(): assert isinstance(chunk.delta, LLMResultChunkDelta) assert isinstance(chunk.delta.message, AssistantPromptMessage) + def test_get_num_tokens(): model = TogetherAILargeLanguageModel() num_tokens = model.get_num_tokens( - model='mistralai/Mixtral-8x7B-Instruct-v0.1', + model="mistralai/Mixtral-8x7B-Instruct-v0.1", credentials={ - 'api_key': os.environ.get('TOGETHER_API_KEY'), + "api_key": os.environ.get("TOGETHER_API_KEY"), }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert isinstance(num_tokens, int) diff --git a/api/tests/integration_tests/model_runtime/tongyi/test_llm.py b/api/tests/integration_tests/model_runtime/tongyi/test_llm.py index 81fb676018..61650735f2 100644 --- a/api/tests/integration_tests/model_runtime/tongyi/test_llm.py +++ b/api/tests/integration_tests/model_runtime/tongyi/test_llm.py @@ -13,18 +13,10 @@ def test_validate_credentials(): model = TongyiLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='qwen-turbo', - credentials={ - 'dashscope_api_key': 'invalid_key' - } - ) + model.validate_credentials(model="qwen-turbo", credentials={"dashscope_api_key": "invalid_key"}) model.validate_credentials( - model='qwen-turbo', - credentials={ - 'dashscope_api_key': os.environ.get('TONGYI_DASHSCOPE_API_KEY') - } + model="qwen-turbo", credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")} ) @@ -32,22 +24,13 @@ def test_invoke_model(): model = TongyiLargeLanguageModel() response = model.invoke( - model='qwen-turbo', - credentials={ - 'dashscope_api_key': os.environ.get('TONGYI_DASHSCOPE_API_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Who are you?' - ) - ], - model_parameters={ - 'temperature': 0.5, - 'max_tokens': 10 - }, - stop=['How'], + model="qwen-turbo", + credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")}, + prompt_messages=[UserPromptMessage(content="Who are you?")], + model_parameters={"temperature": 0.5, "max_tokens": 10}, + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) @@ -58,22 +41,12 @@ def test_invoke_stream_model(): model = TongyiLargeLanguageModel() response = model.invoke( - model='qwen-turbo', - credentials={ - 'dashscope_api_key': os.environ.get('TONGYI_DASHSCOPE_API_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - model_parameters={ - 'temperature': 0.5, - 'max_tokens': 100, - 'seed': 1234 - }, + model="qwen-turbo", + credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")}, + prompt_messages=[UserPromptMessage(content="Hello World!")], + model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -89,18 +62,14 @@ def test_get_num_tokens(): model = TongyiLargeLanguageModel() num_tokens = model.get_num_tokens( - model='qwen-turbo', - credentials={ - 'dashscope_api_key': os.environ.get('TONGYI_DASHSCOPE_API_KEY') - }, + model="qwen-turbo", + credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert num_tokens == 12 diff --git a/api/tests/integration_tests/model_runtime/tongyi/test_provider.py b/api/tests/integration_tests/model_runtime/tongyi/test_provider.py index 6145c1dc37..0bc96c84e7 100644 --- a/api/tests/integration_tests/model_runtime/tongyi/test_provider.py +++ b/api/tests/integration_tests/model_runtime/tongyi/test_provider.py @@ -10,12 +10,8 @@ def test_validate_provider_credentials(): provider = TongyiProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={} - ) + provider.validate_provider_credentials(credentials={}) provider.validate_provider_credentials( - credentials={ - 'dashscope_api_key': os.environ.get('TONGYI_DASHSCOPE_API_KEY') - } + credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")} ) diff --git a/api/tests/integration_tests/model_runtime/tongyi/test_response_format.py b/api/tests/integration_tests/model_runtime/tongyi/test_response_format.py index 1b0a38d5d1..905e7907fd 100644 --- a/api/tests/integration_tests/model_runtime/tongyi/test_response_format.py +++ b/api/tests/integration_tests/model_runtime/tongyi/test_response_format.py @@ -39,21 +39,17 @@ def invoke_model_with_json_response(model_name="qwen-max-0403"): response = model.invoke( model=model_name, - credentials={ - 'dashscope_api_key': os.environ.get('TONGYI_DASHSCOPE_API_KEY') - }, + credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")}, prompt_messages=[ - UserPromptMessage( - content='output json data with format `{"data": "test", "code": 200, "msg": "success"}' - ) + UserPromptMessage(content='output json data with format `{"data": "test", "code": 200, "msg": "success"}') ], model_parameters={ - 'temperature': 0.5, - 'max_tokens': 50, - 'response_format': 'JSON', + "temperature": 0.5, + "max_tokens": 50, + "response_format": "JSON", }, stream=True, - user="abc-123" + user="abc-123", ) print("=====================================") print(response) @@ -81,4 +77,4 @@ def is_json(s): json.loads(s) except ValueError: return False - return True \ No newline at end of file + return True diff --git a/api/tests/integration_tests/model_runtime/upstage/test_llm.py b/api/tests/integration_tests/model_runtime/upstage/test_llm.py index c35580a8b1..bc7517acbe 100644 --- a/api/tests/integration_tests/model_runtime/upstage/test_llm.py +++ b/api/tests/integration_tests/model_runtime/upstage/test_llm.py @@ -26,151 +26,113 @@ def test_predefined_models(): assert len(model_schemas) >= 1 assert isinstance(model_schemas[0], AIModelEntity) -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_validate_credentials_for_chat_model(setup_openai_mock): model = UpstageLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): # model name to gpt-3.5-turbo because of mocking - model.validate_credentials( - model='gpt-3.5-turbo', - credentials={ - 'upstage_api_key': 'invalid_key' - } - ) + model.validate_credentials(model="gpt-3.5-turbo", credentials={"upstage_api_key": "invalid_key"}) model.validate_credentials( - model='solar-1-mini-chat', - credentials={ - 'upstage_api_key': os.environ.get('UPSTAGE_API_KEY') - } + model="solar-1-mini-chat", credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")} ) -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_invoke_chat_model(setup_openai_mock): model = UpstageLargeLanguageModel() result = model.invoke( - model='solar-1-mini-chat', - credentials={ - 'upstage_api_key': os.environ.get('UPSTAGE_API_KEY') - }, + model="solar-1-mini-chat", + credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], model_parameters={ - 'temperature': 0.0, - 'top_p': 1.0, - 'presence_penalty': 0.0, - 'frequency_penalty': 0.0, - 'max_tokens': 10 + "temperature": 0.0, + "top_p": 1.0, + "presence_penalty": 0.0, + "frequency_penalty": 0.0, + "max_tokens": 10, }, - stop=['How'], + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) assert len(result.message.content) > 0 -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_invoke_chat_model_with_tools(setup_openai_mock): model = UpstageLargeLanguageModel() result = model.invoke( - model='solar-1-mini-chat', - credentials={ - 'upstage_api_key': os.environ.get('UPSTAGE_API_KEY') - }, + model="solar-1-mini-chat", + credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), UserPromptMessage( content="what's the weather today in London?", - ) + ), ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 100 - }, + model_parameters={"temperature": 0.0, "max_tokens": 100}, tools=[ PromptMessageTool( - name='get_weather', - description='Determine weather in my location', + name="get_weather", + description="Determine weather in my location", parameters={ "type": "object", "properties": { - "location": { - "type": "string", - "description": "The city and state e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": [ - "c", - "f" - ] - } + "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, + "unit": {"type": "string", "enum": ["c", "f"]}, }, - "required": [ - "location" - ] - } + "required": ["location"], + }, ), PromptMessageTool( - name='get_stock_price', - description='Get the current stock price', + name="get_stock_price", + description="Get the current stock price", parameters={ "type": "object", - "properties": { - "symbol": { - "type": "string", - "description": "The stock symbol" - } - }, - "required": [ - "symbol" - ] - } - ) + "properties": {"symbol": {"type": "string", "description": "The stock symbol"}}, + "required": ["symbol"], + }, + ), ], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(result, LLMResult) assert isinstance(result.message, AssistantPromptMessage) assert len(result.message.tool_calls) > 0 -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_invoke_stream_chat_model(setup_openai_mock): model = UpstageLargeLanguageModel() result = model.invoke( - model='solar-1-mini-chat', - credentials={ - 'upstage_api_key': os.environ.get('UPSTAGE_API_KEY') - }, + model="solar-1-mini-chat", + credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], - model_parameters={ - 'temperature': 0.0, - 'max_tokens': 100 - }, + model_parameters={"temperature": 0.0, "max_tokens": 100}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(result, Generator) @@ -189,57 +151,36 @@ def test_get_num_tokens(): model = UpstageLargeLanguageModel() num_tokens = model.get_num_tokens( - model='solar-1-mini-chat', - credentials={ - 'upstage_api_key': os.environ.get('UPSTAGE_API_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ] + model="solar-1-mini-chat", + credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")}, + prompt_messages=[UserPromptMessage(content="Hello World!")], ) assert num_tokens == 13 num_tokens = model.get_num_tokens( - model='solar-1-mini-chat', - credentials={ - 'upstage_api_key': os.environ.get('UPSTAGE_API_KEY') - }, + model="solar-1-mini-chat", + credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], tools=[ PromptMessageTool( - name='get_weather', - description='Determine weather in my location', + name="get_weather", + description="Determine weather in my location", parameters={ "type": "object", "properties": { - "location": { - "type": "string", - "description": "The city and state e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": [ - "c", - "f" - ] - } + "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, + "unit": {"type": "string", "enum": ["c", "f"]}, }, - "required": [ - "location" - ] - } + "required": ["location"], + }, ), - ] + ], ) assert num_tokens == 106 diff --git a/api/tests/integration_tests/model_runtime/upstage/test_provider.py b/api/tests/integration_tests/model_runtime/upstage/test_provider.py index c33eef49b2..9d83779aa0 100644 --- a/api/tests/integration_tests/model_runtime/upstage/test_provider.py +++ b/api/tests/integration_tests/model_runtime/upstage/test_provider.py @@ -7,17 +7,11 @@ from core.model_runtime.model_providers.upstage.upstage import UpstageProvider from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_validate_provider_credentials(setup_openai_mock): provider = UpstageProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={} - ) + provider.validate_provider_credentials(credentials={}) - provider.validate_provider_credentials( - credentials={ - 'upstage_api_key': os.environ.get('UPSTAGE_API_KEY') - } - ) + provider.validate_provider_credentials(credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/upstage/test_text_embedding.py b/api/tests/integration_tests/model_runtime/upstage/test_text_embedding.py index 54135a0e74..8c83172fa3 100644 --- a/api/tests/integration_tests/model_runtime/upstage/test_text_embedding.py +++ b/api/tests/integration_tests/model_runtime/upstage/test_text_embedding.py @@ -8,41 +8,31 @@ from core.model_runtime.model_providers.upstage.text_embedding.text_embedding im from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock -@pytest.mark.parametrize('setup_openai_mock', [['text_embedding']], indirect=True) +@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True) def test_validate_credentials(setup_openai_mock): model = UpstageTextEmbeddingModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='solar-embedding-1-large-passage', - credentials={ - 'upstage_api_key': 'invalid_key' - } + model="solar-embedding-1-large-passage", credentials={"upstage_api_key": "invalid_key"} ) model.validate_credentials( - model='solar-embedding-1-large-passage', - credentials={ - 'upstage_api_key': os.environ.get('UPSTAGE_API_KEY') - } + model="solar-embedding-1-large-passage", credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")} ) -@pytest.mark.parametrize('setup_openai_mock', [['text_embedding']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True) def test_invoke_model(setup_openai_mock): model = UpstageTextEmbeddingModel() result = model.invoke( - model='solar-embedding-1-large-passage', + model="solar-embedding-1-large-passage", credentials={ - 'upstage_api_key': os.environ.get('UPSTAGE_API_KEY'), + "upstage_api_key": os.environ.get("UPSTAGE_API_KEY"), }, - texts=[ - "hello", - "world", - " ".join(["long_text"] * 100), - " ".join(["another_long_text"] * 100) - ], - user="abc-123" + texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) @@ -54,14 +44,11 @@ def test_get_num_tokens(): model = UpstageTextEmbeddingModel() num_tokens = model.get_num_tokens( - model='solar-embedding-1-large-passage', + model="solar-embedding-1-large-passage", credentials={ - 'upstage_api_key': os.environ.get('UPSTAGE_API_KEY'), + "upstage_api_key": os.environ.get("UPSTAGE_API_KEY"), }, - texts=[ - "hello", - "world" - ] + texts=["hello", "world"], ) assert num_tokens == 5 diff --git a/api/tests/integration_tests/model_runtime/volcengine_maas/test_embedding.py b/api/tests/integration_tests/model_runtime/volcengine_maas/test_embedding.py index 3b399d604e..f831c063a4 100644 --- a/api/tests/integration_tests/model_runtime/volcengine_maas/test_embedding.py +++ b/api/tests/integration_tests/model_runtime/volcengine_maas/test_embedding.py @@ -14,26 +14,26 @@ def test_validate_credentials(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com', - 'volc_region': 'cn-beijing', - 'volc_access_key_id': 'INVALID', - 'volc_secret_access_key': 'INVALID', - 'endpoint_id': 'INVALID', - 'base_model_name': 'Doubao-embedding', - } + "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", + "volc_region": "cn-beijing", + "volc_access_key_id": "INVALID", + "volc_secret_access_key": "INVALID", + "endpoint_id": "INVALID", + "base_model_name": "Doubao-embedding", + }, ) model.validate_credentials( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com', - 'volc_region': 'cn-beijing', - 'volc_access_key_id': os.environ.get('VOLC_API_KEY'), - 'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'), - 'endpoint_id': os.environ.get('VOLC_EMBEDDING_ENDPOINT_ID'), - 'base_model_name': 'Doubao-embedding', + "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", + "volc_region": "cn-beijing", + "volc_access_key_id": os.environ.get("VOLC_API_KEY"), + "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), + "endpoint_id": os.environ.get("VOLC_EMBEDDING_ENDPOINT_ID"), + "base_model_name": "Doubao-embedding", }, ) @@ -42,20 +42,17 @@ def test_invoke_model(): model = VolcengineMaaSTextEmbeddingModel() result = model.invoke( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com', - 'volc_region': 'cn-beijing', - 'volc_access_key_id': os.environ.get('VOLC_API_KEY'), - 'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'), - 'endpoint_id': os.environ.get('VOLC_EMBEDDING_ENDPOINT_ID'), - 'base_model_name': 'Doubao-embedding', + "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", + "volc_region": "cn-beijing", + "volc_access_key_id": os.environ.get("VOLC_API_KEY"), + "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), + "endpoint_id": os.environ.get("VOLC_EMBEDDING_ENDPOINT_ID"), + "base_model_name": "Doubao-embedding", }, - texts=[ - "hello", - "world" - ], - user="abc-123" + texts=["hello", "world"], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) @@ -67,19 +64,16 @@ def test_get_num_tokens(): model = VolcengineMaaSTextEmbeddingModel() num_tokens = model.get_num_tokens( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com', - 'volc_region': 'cn-beijing', - 'volc_access_key_id': os.environ.get('VOLC_API_KEY'), - 'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'), - 'endpoint_id': os.environ.get('VOLC_EMBEDDING_ENDPOINT_ID'), - 'base_model_name': 'Doubao-embedding', + "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", + "volc_region": "cn-beijing", + "volc_access_key_id": os.environ.get("VOLC_API_KEY"), + "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), + "endpoint_id": os.environ.get("VOLC_EMBEDDING_ENDPOINT_ID"), + "base_model_name": "Doubao-embedding", }, - texts=[ - "hello", - "world" - ] + texts=["hello", "world"], ) assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/volcengine_maas/test_llm.py b/api/tests/integration_tests/model_runtime/volcengine_maas/test_llm.py index 63835d0263..8ff9c41404 100644 --- a/api/tests/integration_tests/model_runtime/volcengine_maas/test_llm.py +++ b/api/tests/integration_tests/model_runtime/volcengine_maas/test_llm.py @@ -14,25 +14,25 @@ def test_validate_credentials_for_chat_model(): with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com', - 'volc_region': 'cn-beijing', - 'volc_access_key_id': 'INVALID', - 'volc_secret_access_key': 'INVALID', - 'endpoint_id': 'INVALID', - } + "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", + "volc_region": "cn-beijing", + "volc_access_key_id": "INVALID", + "volc_secret_access_key": "INVALID", + "endpoint_id": "INVALID", + }, ) model.validate_credentials( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com', - 'volc_region': 'cn-beijing', - 'volc_access_key_id': os.environ.get('VOLC_API_KEY'), - 'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'), - 'endpoint_id': os.environ.get('VOLC_MODEL_ENDPOINT_ID'), - } + "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", + "volc_region": "cn-beijing", + "volc_access_key_id": os.environ.get("VOLC_API_KEY"), + "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), + "endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"), + }, ) @@ -40,28 +40,24 @@ def test_invoke_model(): model = VolcengineMaaSLargeLanguageModel() response = model.invoke( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com', - 'volc_region': 'cn-beijing', - 'volc_access_key_id': os.environ.get('VOLC_API_KEY'), - 'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'), - 'endpoint_id': os.environ.get('VOLC_MODEL_ENDPOINT_ID'), - 'base_model_name': 'Skylark2-pro-4k', + "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", + "volc_region": "cn-beijing", + "volc_access_key_id": os.environ.get("VOLC_API_KEY"), + "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), + "endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"), + "base_model_name": "Skylark2-pro-4k", }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], + prompt_messages=[UserPromptMessage(content="Hello World!")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, - 'top_k': 1, + "temperature": 0.7, + "top_p": 1.0, + "top_k": 1, }, - stop=['you'], + stop=["you"], user="abc-123", - stream=False + stream=False, ) assert isinstance(response, LLMResult) @@ -73,28 +69,24 @@ def test_invoke_stream_model(): model = VolcengineMaaSLargeLanguageModel() response = model.invoke( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com', - 'volc_region': 'cn-beijing', - 'volc_access_key_id': os.environ.get('VOLC_API_KEY'), - 'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'), - 'endpoint_id': os.environ.get('VOLC_MODEL_ENDPOINT_ID'), - 'base_model_name': 'Skylark2-pro-4k', + "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", + "volc_region": "cn-beijing", + "volc_access_key_id": os.environ.get("VOLC_API_KEY"), + "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), + "endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"), + "base_model_name": "Skylark2-pro-4k", }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], + prompt_messages=[UserPromptMessage(content="Hello World!")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, - 'top_k': 1, + "temperature": 0.7, + "top_p": 1.0, + "top_k": 1, }, - stop=['you'], + stop=["you"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -102,29 +94,24 @@ def test_invoke_stream_model(): assert isinstance(chunk, LLMResultChunk) assert isinstance(chunk.delta, LLMResultChunkDelta) assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len( - chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True + assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True def test_get_num_tokens(): model = VolcengineMaaSLargeLanguageModel() response = model.get_num_tokens( - model='NOT IMPORTANT', + model="NOT IMPORTANT", credentials={ - 'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com', - 'volc_region': 'cn-beijing', - 'volc_access_key_id': os.environ.get('VOLC_API_KEY'), - 'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'), - 'endpoint_id': os.environ.get('VOLC_MODEL_ENDPOINT_ID'), - 'base_model_name': 'Skylark2-pro-4k', + "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", + "volc_region": "cn-beijing", + "volc_access_key_id": os.environ.get("VOLC_API_KEY"), + "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), + "endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"), + "base_model_name": "Skylark2-pro-4k", }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - tools=[] + prompt_messages=[UserPromptMessage(content="Hello World!")], + tools=[], ) assert isinstance(response, int) diff --git a/api/tests/integration_tests/model_runtime/wenxin/test_embedding.py b/api/tests/integration_tests/model_runtime/wenxin/test_embedding.py index d886226cf9..ac38340aec 100644 --- a/api/tests/integration_tests/model_runtime/wenxin/test_embedding.py +++ b/api/tests/integration_tests/model_runtime/wenxin/test_embedding.py @@ -10,13 +10,10 @@ def test_invoke_embedding_v1(): model = WenxinTextEmbeddingModel() response = model.invoke( - model='embedding-v1', - credentials={ - 'api_key': os.environ.get('WENXIN_API_KEY'), - 'secret_key': os.environ.get('WENXIN_SECRET_KEY') - }, - texts=['hello', '你好', 'xxxxx'], - user="abc-123" + model="embedding-v1", + credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, + texts=["hello", "你好", "xxxxx"], + user="abc-123", ) assert isinstance(response, TextEmbeddingResult) @@ -29,13 +26,10 @@ def test_invoke_embedding_bge_large_en(): model = WenxinTextEmbeddingModel() response = model.invoke( - model='bge-large-en', - credentials={ - 'api_key': os.environ.get('WENXIN_API_KEY'), - 'secret_key': os.environ.get('WENXIN_SECRET_KEY') - }, - texts=['hello', '你好', 'xxxxx'], - user="abc-123" + model="bge-large-en", + credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, + texts=["hello", "你好", "xxxxx"], + user="abc-123", ) assert isinstance(response, TextEmbeddingResult) @@ -48,13 +42,10 @@ def test_invoke_embedding_bge_large_zh(): model = WenxinTextEmbeddingModel() response = model.invoke( - model='bge-large-zh', - credentials={ - 'api_key': os.environ.get('WENXIN_API_KEY'), - 'secret_key': os.environ.get('WENXIN_SECRET_KEY') - }, - texts=['hello', '你好', 'xxxxx'], - user="abc-123" + model="bge-large-zh", + credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, + texts=["hello", "你好", "xxxxx"], + user="abc-123", ) assert isinstance(response, TextEmbeddingResult) @@ -67,13 +58,10 @@ def test_invoke_embedding_tao_8k(): model = WenxinTextEmbeddingModel() response = model.invoke( - model='tao-8k', - credentials={ - 'api_key': os.environ.get('WENXIN_API_KEY'), - 'secret_key': os.environ.get('WENXIN_SECRET_KEY') - }, - texts=['hello', '你好', 'xxxxx'], - user="abc-123" + model="tao-8k", + credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, + texts=["hello", "你好", "xxxxx"], + user="abc-123", ) assert isinstance(response, TextEmbeddingResult) diff --git a/api/tests/integration_tests/model_runtime/wenxin/test_llm.py b/api/tests/integration_tests/model_runtime/wenxin/test_llm.py index 164e8253d9..e2e58f15e0 100644 --- a/api/tests/integration_tests/model_runtime/wenxin/test_llm.py +++ b/api/tests/integration_tests/model_runtime/wenxin/test_llm.py @@ -17,161 +17,125 @@ def test_predefined_models(): assert len(model_schemas) >= 1 assert isinstance(model_schemas[0], AIModelEntity) + def test_validate_credentials_for_chat_model(): sleep(3) model = ErnieBotLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='ernie-bot', - credentials={ - 'api_key': 'invalid_key', - 'secret_key': 'invalid_key' - } + model="ernie-bot", credentials={"api_key": "invalid_key", "secret_key": "invalid_key"} ) model.validate_credentials( - model='ernie-bot', - credentials={ - 'api_key': os.environ.get('WENXIN_API_KEY'), - 'secret_key': os.environ.get('WENXIN_SECRET_KEY') - } + model="ernie-bot", + credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, ) + def test_invoke_model_ernie_bot(): sleep(3) model = ErnieBotLargeLanguageModel() response = model.invoke( - model='ernie-bot', - credentials={ - 'api_key': os.environ.get('WENXIN_API_KEY'), - 'secret_key': os.environ.get('WENXIN_SECRET_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], + model="ernie-bot", + credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, + prompt_messages=[UserPromptMessage(content="Hello World!")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, + "temperature": 0.7, + "top_p": 1.0, }, - stop=['you'], + stop=["you"], user="abc-123", - stream=False + stream=False, ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 assert response.usage.total_tokens > 0 + def test_invoke_model_ernie_bot_turbo(): sleep(3) model = ErnieBotLargeLanguageModel() response = model.invoke( - model='ernie-bot-turbo', - credentials={ - 'api_key': os.environ.get('WENXIN_API_KEY'), - 'secret_key': os.environ.get('WENXIN_SECRET_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], + model="ernie-bot-turbo", + credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, + prompt_messages=[UserPromptMessage(content="Hello World!")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, + "temperature": 0.7, + "top_p": 1.0, }, - stop=['you'], + stop=["you"], user="abc-123", - stream=False + stream=False, ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 assert response.usage.total_tokens > 0 + def test_invoke_model_ernie_8k(): sleep(3) model = ErnieBotLargeLanguageModel() response = model.invoke( - model='ernie-bot-8k', - credentials={ - 'api_key': os.environ.get('WENXIN_API_KEY'), - 'secret_key': os.environ.get('WENXIN_SECRET_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], + model="ernie-bot-8k", + credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, + prompt_messages=[UserPromptMessage(content="Hello World!")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, + "temperature": 0.7, + "top_p": 1.0, }, - stop=['you'], + stop=["you"], user="abc-123", - stream=False + stream=False, ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 assert response.usage.total_tokens > 0 + def test_invoke_model_ernie_bot_4(): sleep(3) model = ErnieBotLargeLanguageModel() response = model.invoke( - model='ernie-bot-4', - credentials={ - 'api_key': os.environ.get('WENXIN_API_KEY'), - 'secret_key': os.environ.get('WENXIN_SECRET_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], + model="ernie-bot-4", + credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, + prompt_messages=[UserPromptMessage(content="Hello World!")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, + "temperature": 0.7, + "top_p": 1.0, }, - stop=['you'], + stop=["you"], user="abc-123", - stream=False + stream=False, ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 assert response.usage.total_tokens > 0 + def test_invoke_stream_model(): sleep(3) model = ErnieBotLargeLanguageModel() response = model.invoke( - model='ernie-3.5-8k', - credentials={ - 'api_key': os.environ.get('WENXIN_API_KEY'), - 'secret_key': os.environ.get('WENXIN_SECRET_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], + model="ernie-3.5-8k", + credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, + prompt_messages=[UserPromptMessage(content="Hello World!")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, + "temperature": 0.7, + "top_p": 1.0, }, - stop=['you'], + stop=["you"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -181,63 +145,48 @@ def test_invoke_stream_model(): assert isinstance(chunk.delta.message, AssistantPromptMessage) assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True + def test_invoke_model_with_system(): sleep(3) model = ErnieBotLargeLanguageModel() response = model.invoke( - model='ernie-bot', - credentials={ - 'api_key': os.environ.get('WENXIN_API_KEY'), - 'secret_key': os.environ.get('WENXIN_SECRET_KEY') - }, - prompt_messages=[ - SystemPromptMessage( - content='你是Kasumi' - ), - UserPromptMessage( - content='你是谁？' - ) - ], + model="ernie-bot", + credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, + prompt_messages=[SystemPromptMessage(content="你是Kasumi"), UserPromptMessage(content="你是谁？")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, + "temperature": 0.7, + "top_p": 1.0, }, - stop=['you'], + stop=["you"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) - assert 'kasumi' in response.message.content.lower() + assert "kasumi" in response.message.content.lower() + def test_invoke_with_search(): sleep(3) model = ErnieBotLargeLanguageModel() response = model.invoke( - model='ernie-bot', - credentials={ - 'api_key': os.environ.get('WENXIN_API_KEY'), - 'secret_key': os.environ.get('WENXIN_SECRET_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='北京今天的天气怎么样' - ) - ], + model="ernie-bot", + credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, + prompt_messages=[UserPromptMessage(content="北京今天的天气怎么样")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, - 'disable_search': True, + "temperature": 0.7, + "top_p": 1.0, + "disable_search": True, }, stop=[], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) - total_message = '' + total_message = "" for chunk in response: assert isinstance(chunk, LLMResultChunk) assert isinstance(chunk.delta, LLMResultChunkDelta) @@ -247,25 +196,19 @@ def test_invoke_with_search(): assert len(chunk.delta.message.content) > 0 if not chunk.delta.finish_reason else True # there should be 对不起、我不能、不支持…… - assert ('不' in total_message or '抱歉' in total_message or '无法' in total_message) + assert "不" in total_message or "抱歉" in total_message or "无法" in total_message + def test_get_num_tokens(): sleep(3) model = ErnieBotLargeLanguageModel() response = model.get_num_tokens( - model='ernie-bot', - credentials={ - 'api_key': os.environ.get('WENXIN_API_KEY'), - 'secret_key': os.environ.get('WENXIN_SECRET_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - tools=[] + model="ernie-bot", + credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, + prompt_messages=[UserPromptMessage(content="Hello World!")], + tools=[], ) assert isinstance(response, int) - assert response == 10 \ No newline at end of file + assert response == 10 diff --git a/api/tests/integration_tests/model_runtime/wenxin/test_provider.py b/api/tests/integration_tests/model_runtime/wenxin/test_provider.py index 8922aa1868..337c3d2a80 100644 --- a/api/tests/integration_tests/model_runtime/wenxin/test_provider.py +++ b/api/tests/integration_tests/model_runtime/wenxin/test_provider.py @@ -10,16 +10,8 @@ def test_validate_provider_credentials(): provider = WenxinProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={ - 'api_key': 'hahahaha', - 'secret_key': 'hahahaha' - } - ) + provider.validate_provider_credentials(credentials={"api_key": "hahahaha", "secret_key": "hahahaha"}) provider.validate_provider_credentials( - credentials={ - 'api_key': os.environ.get('WENXIN_API_KEY'), - 'secret_key': os.environ.get('WENXIN_SECRET_KEY') - } + credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")} ) diff --git a/api/tests/integration_tests/model_runtime/xinference/test_embeddings.py b/api/tests/integration_tests/model_runtime/xinference/test_embeddings.py index f0a5151f3d..8e778d005a 100644 --- a/api/tests/integration_tests/model_runtime/xinference/test_embeddings.py +++ b/api/tests/integration_tests/model_runtime/xinference/test_embeddings.py @@ -8,61 +8,57 @@ from core.model_runtime.model_providers.xinference.text_embedding.text_embedding from tests.integration_tests.model_runtime.__mock.xinference import MOCK, setup_xinference_mock -@pytest.mark.parametrize('setup_xinference_mock', [['none']], indirect=True) +@pytest.mark.parametrize("setup_xinference_mock", [["none"]], indirect=True) def test_validate_credentials(setup_xinference_mock): model = XinferenceTextEmbeddingModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='bge-base-en', + model="bge-base-en", credentials={ - 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), - 'model_uid': 'www ' + os.environ.get('XINFERENCE_EMBEDDINGS_MODEL_UID') - } + "server_url": os.environ.get("XINFERENCE_SERVER_URL"), + "model_uid": "www " + os.environ.get("XINFERENCE_EMBEDDINGS_MODEL_UID"), + }, ) model.validate_credentials( - model='bge-base-en', + model="bge-base-en", credentials={ - 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), - 'model_uid': os.environ.get('XINFERENCE_EMBEDDINGS_MODEL_UID') - } + "server_url": os.environ.get("XINFERENCE_SERVER_URL"), + "model_uid": os.environ.get("XINFERENCE_EMBEDDINGS_MODEL_UID"), + }, ) -@pytest.mark.parametrize('setup_xinference_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_xinference_mock", [["none"]], indirect=True) def test_invoke_model(setup_xinference_mock): model = XinferenceTextEmbeddingModel() result = model.invoke( - model='bge-base-en', + model="bge-base-en", credentials={ - 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), - 'model_uid': os.environ.get('XINFERENCE_EMBEDDINGS_MODEL_UID') + "server_url": os.environ.get("XINFERENCE_SERVER_URL"), + "model_uid": os.environ.get("XINFERENCE_EMBEDDINGS_MODEL_UID"), }, - texts=[ - "hello", - "world" - ], - user="abc-123" + texts=["hello", "world"], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) assert len(result.embeddings) == 2 assert result.usage.total_tokens > 0 + def test_get_num_tokens(): model = XinferenceTextEmbeddingModel() num_tokens = model.get_num_tokens( - model='bge-base-en', + model="bge-base-en", credentials={ - 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), - 'model_uid': os.environ.get('XINFERENCE_EMBEDDINGS_MODEL_UID') + "server_url": os.environ.get("XINFERENCE_SERVER_URL"), + "model_uid": os.environ.get("XINFERENCE_EMBEDDINGS_MODEL_UID"), }, - texts=[ - "hello", - "world" - ] + texts=["hello", "world"], ) assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/xinference/test_llm.py b/api/tests/integration_tests/model_runtime/xinference/test_llm.py index 47730406de..48d1ae323d 100644 --- a/api/tests/integration_tests/model_runtime/xinference/test_llm.py +++ b/api/tests/integration_tests/model_runtime/xinference/test_llm.py @@ -20,92 +20,84 @@ from tests.integration_tests.model_runtime.__mock.openai import setup_openai_moc from tests.integration_tests.model_runtime.__mock.xinference import setup_xinference_mock -@pytest.mark.parametrize('setup_openai_mock, setup_xinference_mock', [['chat', 'none']], indirect=True) +@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["chat", "none"]], indirect=True) def test_validate_credentials_for_chat_model(setup_openai_mock, setup_xinference_mock): model = XinferenceAILargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='ChatGLM3', + model="ChatGLM3", credentials={ - 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), - 'model_uid': 'www ' + os.environ.get('XINFERENCE_CHAT_MODEL_UID') - } + "server_url": os.environ.get("XINFERENCE_SERVER_URL"), + "model_uid": "www " + os.environ.get("XINFERENCE_CHAT_MODEL_UID"), + }, ) with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='aaaaa', - credentials={ - 'server_url': '', - 'model_uid': '' - } - ) + model.validate_credentials(model="aaaaa", credentials={"server_url": "", "model_uid": ""}) model.validate_credentials( - model='ChatGLM3', + model="ChatGLM3", credentials={ - 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), - 'model_uid': os.environ.get('XINFERENCE_CHAT_MODEL_UID') - } + "server_url": os.environ.get("XINFERENCE_SERVER_URL"), + "model_uid": os.environ.get("XINFERENCE_CHAT_MODEL_UID"), + }, ) -@pytest.mark.parametrize('setup_openai_mock, setup_xinference_mock', [['chat', 'none']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["chat", "none"]], indirect=True) def test_invoke_chat_model(setup_openai_mock, setup_xinference_mock): model = XinferenceAILargeLanguageModel() response = model.invoke( - model='ChatGLM3', + model="ChatGLM3", credentials={ - 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), - 'model_uid': os.environ.get('XINFERENCE_CHAT_MODEL_UID') + "server_url": os.environ.get("XINFERENCE_SERVER_URL"), + "model_uid": os.environ.get("XINFERENCE_CHAT_MODEL_UID"), }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, + "temperature": 0.7, + "top_p": 1.0, }, - stop=['you'], + stop=["you"], user="abc-123", - stream=False + stream=False, ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 assert response.usage.total_tokens > 0 -@pytest.mark.parametrize('setup_openai_mock, setup_xinference_mock', [['chat', 'none']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["chat", "none"]], indirect=True) def test_invoke_stream_chat_model(setup_openai_mock, setup_xinference_mock): model = XinferenceAILargeLanguageModel() response = model.invoke( - model='ChatGLM3', + model="ChatGLM3", credentials={ - 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), - 'model_uid': os.environ.get('XINFERENCE_CHAT_MODEL_UID') + "server_url": os.environ.get("XINFERENCE_SERVER_URL"), + "model_uid": os.environ.get("XINFERENCE_CHAT_MODEL_UID"), }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, + "temperature": 0.7, + "top_p": 1.0, }, - stop=['you'], + stop=["you"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -114,6 +106,8 @@ def test_invoke_stream_chat_model(setup_openai_mock, setup_xinference_mock): assert isinstance(chunk.delta, LLMResultChunkDelta) assert isinstance(chunk.delta.message, AssistantPromptMessage) assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True + + """ Funtion calling of xinference does not support stream mode currently """ @@ -168,7 +162,7 @@ def test_invoke_stream_chat_model(setup_openai_mock, setup_xinference_mock): # ) # assert isinstance(response, Generator) - + # call: LLMResultChunk = None # chunks = [] @@ -241,86 +235,75 @@ def test_invoke_stream_chat_model(setup_openai_mock, setup_xinference_mock): # assert response.usage.total_tokens > 0 # assert response.message.tool_calls[0].function.name == 'get_current_weather' -@pytest.mark.parametrize('setup_openai_mock, setup_xinference_mock', [['completion', 'none']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["completion", "none"]], indirect=True) def test_validate_credentials_for_generation_model(setup_openai_mock, setup_xinference_mock): model = XinferenceAILargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='alapaca', + model="alapaca", credentials={ - 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), - 'model_uid': 'www ' + os.environ.get('XINFERENCE_GENERATION_MODEL_UID') - } + "server_url": os.environ.get("XINFERENCE_SERVER_URL"), + "model_uid": "www " + os.environ.get("XINFERENCE_GENERATION_MODEL_UID"), + }, ) with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='alapaca', - credentials={ - 'server_url': '', - 'model_uid': '' - } - ) + model.validate_credentials(model="alapaca", credentials={"server_url": "", "model_uid": ""}) model.validate_credentials( - model='alapaca', + model="alapaca", credentials={ - 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), - 'model_uid': os.environ.get('XINFERENCE_GENERATION_MODEL_UID') - } + "server_url": os.environ.get("XINFERENCE_SERVER_URL"), + "model_uid": os.environ.get("XINFERENCE_GENERATION_MODEL_UID"), + }, ) -@pytest.mark.parametrize('setup_openai_mock, setup_xinference_mock', [['completion', 'none']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["completion", "none"]], indirect=True) def test_invoke_generation_model(setup_openai_mock, setup_xinference_mock): model = XinferenceAILargeLanguageModel() response = model.invoke( - model='alapaca', + model="alapaca", credentials={ - 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), - 'model_uid': os.environ.get('XINFERENCE_GENERATION_MODEL_UID') + "server_url": os.environ.get("XINFERENCE_SERVER_URL"), + "model_uid": os.environ.get("XINFERENCE_GENERATION_MODEL_UID"), }, - prompt_messages=[ - UserPromptMessage( - content='the United States is' - ) - ], + prompt_messages=[UserPromptMessage(content="the United States is")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, + "temperature": 0.7, + "top_p": 1.0, }, - stop=['you'], + stop=["you"], user="abc-123", - stream=False + stream=False, ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 assert response.usage.total_tokens > 0 -@pytest.mark.parametrize('setup_openai_mock, setup_xinference_mock', [['completion', 'none']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["completion", "none"]], indirect=True) def test_invoke_stream_generation_model(setup_openai_mock, setup_xinference_mock): model = XinferenceAILargeLanguageModel() response = model.invoke( - model='alapaca', + model="alapaca", credentials={ - 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), - 'model_uid': os.environ.get('XINFERENCE_GENERATION_MODEL_UID') + "server_url": os.environ.get("XINFERENCE_SERVER_URL"), + "model_uid": os.environ.get("XINFERENCE_GENERATION_MODEL_UID"), }, - prompt_messages=[ - UserPromptMessage( - content='the United States is' - ) - ], + prompt_messages=[UserPromptMessage(content="the United States is")], model_parameters={ - 'temperature': 0.7, - 'top_p': 1.0, + "temperature": 0.7, + "top_p": 1.0, }, - stop=['you'], + stop=["you"], stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -330,68 +313,54 @@ def test_invoke_stream_generation_model(setup_openai_mock, setup_xinference_mock assert isinstance(chunk.delta.message, AssistantPromptMessage) assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True + def test_get_num_tokens(): model = XinferenceAILargeLanguageModel() num_tokens = model.get_num_tokens( - model='ChatGLM3', + model="ChatGLM3", credentials={ - 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), - 'model_uid': os.environ.get('XINFERENCE_GENERATION_MODEL_UID') + "server_url": os.environ.get("XINFERENCE_SERVER_URL"), + "model_uid": os.environ.get("XINFERENCE_GENERATION_MODEL_UID"), }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], tools=[ PromptMessageTool( - name='get_current_weather', - description='Get the current weather in a given location', + name="get_current_weather", + description="Get the current weather in a given location", parameters={ "type": "object", "properties": { - "location": { - "type": "string", - "description": "The city and state e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": [ - "c", - "f" - ] - } + "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, + "unit": {"type": "string", "enum": ["c", "f"]}, }, - "required": [ - "location" - ] - } + "required": ["location"], + }, ) - ] + ], ) assert isinstance(num_tokens, int) assert num_tokens == 77 num_tokens = model.get_num_tokens( - model='ChatGLM3', + model="ChatGLM3", credentials={ - 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), - 'model_uid': os.environ.get('XINFERENCE_GENERATION_MODEL_UID') + "server_url": os.environ.get("XINFERENCE_SERVER_URL"), + "model_uid": os.environ.get("XINFERENCE_GENERATION_MODEL_UID"), }, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) + UserPromptMessage(content="Hello World!"), ], ) assert isinstance(num_tokens, int) - assert num_tokens == 21 \ No newline at end of file + assert num_tokens == 21 diff --git a/api/tests/integration_tests/model_runtime/xinference/test_rerank.py b/api/tests/integration_tests/model_runtime/xinference/test_rerank.py index 9012c16a7e..71ac4eef7c 100644 --- a/api/tests/integration_tests/model_runtime/xinference/test_rerank.py +++ b/api/tests/integration_tests/model_runtime/xinference/test_rerank.py @@ -8,44 +8,42 @@ from core.model_runtime.model_providers.xinference.rerank.rerank import Xinferen from tests.integration_tests.model_runtime.__mock.xinference import MOCK, setup_xinference_mock -@pytest.mark.parametrize('setup_xinference_mock', [['none']], indirect=True) +@pytest.mark.parametrize("setup_xinference_mock", [["none"]], indirect=True) def test_validate_credentials(setup_xinference_mock): model = XinferenceRerankModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( - model='bge-reranker-base', - credentials={ - 'server_url': 'awdawdaw', - 'model_uid': os.environ.get('XINFERENCE_RERANK_MODEL_UID') - } + model="bge-reranker-base", + credentials={"server_url": "awdawdaw", "model_uid": os.environ.get("XINFERENCE_RERANK_MODEL_UID")}, ) model.validate_credentials( - model='bge-reranker-base', + model="bge-reranker-base", credentials={ - 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), - 'model_uid': os.environ.get('XINFERENCE_RERANK_MODEL_UID') - } + "server_url": os.environ.get("XINFERENCE_SERVER_URL"), + "model_uid": os.environ.get("XINFERENCE_RERANK_MODEL_UID"), + }, ) -@pytest.mark.parametrize('setup_xinference_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_xinference_mock", [["none"]], indirect=True) def test_invoke_model(setup_xinference_mock): model = XinferenceRerankModel() result = model.invoke( - model='bge-reranker-base', + model="bge-reranker-base", credentials={ - 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), - 'model_uid': os.environ.get('XINFERENCE_RERANK_MODEL_UID') + "server_url": os.environ.get("XINFERENCE_SERVER_URL"), + "model_uid": os.environ.get("XINFERENCE_RERANK_MODEL_UID"), }, query="Who is Kasumi?", docs=[ - "Kasumi is a girl's name of Japanese origin meaning \"mist\".", + 'Kasumi is a girl\'s name of Japanese origin meaning "mist".', "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music ", - "and she leads a team named PopiParty." + "and she leads a team named PopiParty.", ], - score_threshold=0.8 + score_threshold=0.8, ) assert isinstance(result, RerankResult) diff --git a/api/tests/integration_tests/model_runtime/zhinao/test_llm.py b/api/tests/integration_tests/model_runtime/zhinao/test_llm.py index 47a5b6cae2..4ca1b86476 100644 --- a/api/tests/integration_tests/model_runtime/zhinao/test_llm.py +++ b/api/tests/integration_tests/model_runtime/zhinao/test_llm.py @@ -13,41 +13,22 @@ def test_validate_credentials(): model = ZhinaoLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='360gpt2-pro', - credentials={ - 'api_key': 'invalid_key' - } - ) + model.validate_credentials(model="360gpt2-pro", credentials={"api_key": "invalid_key"}) - model.validate_credentials( - model='360gpt2-pro', - credentials={ - 'api_key': os.environ.get('ZHINAO_API_KEY') - } - ) + model.validate_credentials(model="360gpt2-pro", credentials={"api_key": os.environ.get("ZHINAO_API_KEY")}) def test_invoke_model(): model = ZhinaoLargeLanguageModel() response = model.invoke( - model='360gpt2-pro', - credentials={ - 'api_key': os.environ.get('ZHINAO_API_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Who are you?' - ) - ], - model_parameters={ - 'temperature': 0.5, - 'max_tokens': 10 - }, - stop=['How'], + model="360gpt2-pro", + credentials={"api_key": os.environ.get("ZHINAO_API_KEY")}, + prompt_messages=[UserPromptMessage(content="Who are you?")], + model_parameters={"temperature": 0.5, "max_tokens": 10}, + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) @@ -58,22 +39,12 @@ def test_invoke_stream_model(): model = ZhinaoLargeLanguageModel() response = model.invoke( - model='360gpt2-pro', - credentials={ - 'api_key': os.environ.get('ZHINAO_API_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - model_parameters={ - 'temperature': 0.5, - 'max_tokens': 100, - 'seed': 1234 - }, + model="360gpt2-pro", + credentials={"api_key": os.environ.get("ZHINAO_API_KEY")}, + prompt_messages=[UserPromptMessage(content="Hello World!")], + model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -89,18 +60,14 @@ def test_get_num_tokens(): model = ZhinaoLargeLanguageModel() num_tokens = model.get_num_tokens( - model='360gpt2-pro', - credentials={ - 'api_key': os.environ.get('ZHINAO_API_KEY') - }, + model="360gpt2-pro", + credentials={"api_key": os.environ.get("ZHINAO_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert num_tokens == 21 diff --git a/api/tests/integration_tests/model_runtime/zhinao/test_provider.py b/api/tests/integration_tests/model_runtime/zhinao/test_provider.py index 87b0e6c2d9..c22f797919 100644 --- a/api/tests/integration_tests/model_runtime/zhinao/test_provider.py +++ b/api/tests/integration_tests/model_runtime/zhinao/test_provider.py @@ -10,12 +10,6 @@ def test_validate_provider_credentials(): provider = ZhinaoProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={} - ) + provider.validate_provider_credentials(credentials={}) - provider.validate_provider_credentials( - credentials={ - 'api_key': os.environ.get('ZHINAO_API_KEY') - } - ) + provider.validate_provider_credentials(credentials={"api_key": os.environ.get("ZHINAO_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/zhipuai/test_llm.py b/api/tests/integration_tests/model_runtime/zhipuai/test_llm.py index 0f92b50cb0..20380513ea 100644 --- a/api/tests/integration_tests/model_runtime/zhipuai/test_llm.py +++ b/api/tests/integration_tests/model_runtime/zhipuai/test_llm.py @@ -18,41 +18,22 @@ def test_validate_credentials(): model = ZhipuAILargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='chatglm_turbo', - credentials={ - 'api_key': 'invalid_key' - } - ) + model.validate_credentials(model="chatglm_turbo", credentials={"api_key": "invalid_key"}) - model.validate_credentials( - model='chatglm_turbo', - credentials={ - 'api_key': os.environ.get('ZHIPUAI_API_KEY') - } - ) + model.validate_credentials(model="chatglm_turbo", credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}) def test_invoke_model(): model = ZhipuAILargeLanguageModel() response = model.invoke( - model='chatglm_turbo', - credentials={ - 'api_key': os.environ.get('ZHIPUAI_API_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Who are you?' - ) - ], - model_parameters={ - 'temperature': 0.9, - 'top_p': 0.7 - }, - stop=['How'], + model="chatglm_turbo", + credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}, + prompt_messages=[UserPromptMessage(content="Who are you?")], + model_parameters={"temperature": 0.9, "top_p": 0.7}, + stop=["How"], stream=False, - user="abc-123" + user="abc-123", ) assert isinstance(response, LLMResult) @@ -63,21 +44,12 @@ def test_invoke_stream_model(): model = ZhipuAILargeLanguageModel() response = model.invoke( - model='chatglm_turbo', - credentials={ - 'api_key': os.environ.get('ZHIPUAI_API_KEY') - }, - prompt_messages=[ - UserPromptMessage( - content='Hello World!' - ) - ], - model_parameters={ - 'temperature': 0.9, - 'top_p': 0.7 - }, + model="chatglm_turbo", + credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}, + prompt_messages=[UserPromptMessage(content="Hello World!")], + model_parameters={"temperature": 0.9, "top_p": 0.7}, stream=True, - user="abc-123" + user="abc-123", ) assert isinstance(response, Generator) @@ -93,63 +65,45 @@ def test_get_num_tokens(): model = ZhipuAILargeLanguageModel() num_tokens = model.get_num_tokens( - model='chatglm_turbo', - credentials={ - 'api_key': os.environ.get('ZHIPUAI_API_KEY') - }, + model="chatglm_turbo", + credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}, prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert num_tokens == 14 + def test_get_tools_num_tokens(): model = ZhipuAILargeLanguageModel() num_tokens = model.get_num_tokens( - model='tools', - credentials={ - 'api_key': os.environ.get('ZHIPUAI_API_KEY') - }, + model="tools", + credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}, tools=[ PromptMessageTool( - name='get_current_weather', - description='Get the current weather in a given location', + name="get_current_weather", + description="Get the current weather in a given location", parameters={ "type": "object", "properties": { - "location": { - "type": "string", - "description": "The city and state e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": [ - "c", - "f" - ] - } + "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, + "unit": {"type": "string", "enum": ["c", "f"]}, }, - "required": [ - "location" - ] - } + "required": ["location"], + }, ) ], prompt_messages=[ SystemPromptMessage( - content='You are a helpful AI assistant.', + content="You are a helpful AI assistant.", ), - UserPromptMessage( - content='Hello World!' - ) - ] + UserPromptMessage(content="Hello World!"), + ], ) assert num_tokens == 88 diff --git a/api/tests/integration_tests/model_runtime/zhipuai/test_provider.py b/api/tests/integration_tests/model_runtime/zhipuai/test_provider.py index 51b9cccf2e..cb5bc0b20a 100644 --- a/api/tests/integration_tests/model_runtime/zhipuai/test_provider.py +++ b/api/tests/integration_tests/model_runtime/zhipuai/test_provider.py @@ -10,12 +10,6 @@ def test_validate_provider_credentials(): provider = ZhipuaiProvider() with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={} - ) + provider.validate_provider_credentials(credentials={}) - provider.validate_provider_credentials( - credentials={ - 'api_key': os.environ.get('ZHIPUAI_API_KEY') - } - ) + provider.validate_provider_credentials(credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/zhipuai/test_text_embedding.py b/api/tests/integration_tests/model_runtime/zhipuai/test_text_embedding.py index 7308c57296..9c97c91ecb 100644 --- a/api/tests/integration_tests/model_runtime/zhipuai/test_text_embedding.py +++ b/api/tests/integration_tests/model_runtime/zhipuai/test_text_embedding.py @@ -11,34 +11,19 @@ def test_validate_credentials(): model = ZhipuAITextEmbeddingModel() with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model='text_embedding', - credentials={ - 'api_key': 'invalid_key' - } - ) + model.validate_credentials(model="text_embedding", credentials={"api_key": "invalid_key"}) - model.validate_credentials( - model='text_embedding', - credentials={ - 'api_key': os.environ.get('ZHIPUAI_API_KEY') - } - ) + model.validate_credentials(model="text_embedding", credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}) def test_invoke_model(): model = ZhipuAITextEmbeddingModel() result = model.invoke( - model='text_embedding', - credentials={ - 'api_key': os.environ.get('ZHIPUAI_API_KEY') - }, - texts=[ - "hello", - "world" - ], - user="abc-123" + model="text_embedding", + credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}, + texts=["hello", "world"], + user="abc-123", ) assert isinstance(result, TextEmbeddingResult) @@ -50,14 +35,7 @@ def test_get_num_tokens(): model = ZhipuAITextEmbeddingModel() num_tokens = model.get_num_tokens( - model='text_embedding', - credentials={ - 'api_key': os.environ.get('ZHIPUAI_API_KEY') - }, - texts=[ - "hello", - "world" - ] + model="text_embedding", credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}, texts=["hello", "world"] ) assert num_tokens == 2 diff --git a/api/tests/integration_tests/tools/__mock/http.py b/api/tests/integration_tests/tools/__mock/http.py index 41bb3daeb5..4dfc530010 100644 --- a/api/tests/integration_tests/tools/__mock/http.py +++ b/api/tests/integration_tests/tools/__mock/http.py @@ -7,20 +7,17 @@ from _pytest.monkeypatch import MonkeyPatch class MockedHttp: - def httpx_request(method: Literal['GET', 'POST', 'PUT', 'DELETE', 'PATCH', 'HEAD'], - url: str, **kwargs) -> httpx.Response: + def httpx_request( + method: Literal["GET", "POST", "PUT", "DELETE", "PATCH", "HEAD"], url: str, **kwargs + ) -> httpx.Response: """ Mocked httpx.request """ request = httpx.Request( - method, - url, - params=kwargs.get('params'), - headers=kwargs.get('headers'), - cookies=kwargs.get('cookies') + method, url, params=kwargs.get("params"), headers=kwargs.get("headers"), cookies=kwargs.get("cookies") ) - data = kwargs.get('data', None) - resp = json.dumps(data).encode('utf-8') if data else b'OK' + data = kwargs.get("data", None) + resp = json.dumps(data).encode("utf-8") if data else b"OK" response = httpx.Response( status_code=200, request=request, diff --git a/api/tests/integration_tests/tools/__mock_server/openapi_todo.py b/api/tests/integration_tests/tools/__mock_server/openapi_todo.py index ba14d365c5..83f4d70ce9 100644 --- a/api/tests/integration_tests/tools/__mock_server/openapi_todo.py +++ b/api/tests/integration_tests/tools/__mock_server/openapi_todo.py @@ -10,6 +10,7 @@ todos_data = { "user1": ["Go for a run", "Read a book"], } + class TodosResource(Resource): def get(self, username): todos = todos_data.get(username, []) @@ -32,7 +33,8 @@ class TodosResource(Resource): return {"error": "Invalid todo index"}, 400 -api.add_resource(TodosResource, '/todos/') -if __name__ == '__main__': +api.add_resource(TodosResource, "/todos/") + +if __name__ == "__main__": app.run(port=5003, debug=True) diff --git a/api/tests/integration_tests/tools/api_tool/test_api_tool.py b/api/tests/integration_tests/tools/api_tool/test_api_tool.py index f6e7b153dd..09729a961e 100644 --- a/api/tests/integration_tests/tools/api_tool/test_api_tool.py +++ b/api/tests/integration_tests/tools/api_tool/test_api_tool.py @@ -3,37 +3,40 @@ from core.tools.tool.tool import Tool from tests.integration_tests.tools.__mock.http import setup_http_mock tool_bundle = { - 'server_url': 'http://www.example.com/{path_param}', - 'method': 'post', - 'author': '', - 'openapi': {'parameters': [{'in': 'path', 'name': 'path_param'}, - {'in': 'query', 'name': 'query_param'}, - {'in': 'cookie', 'name': 'cookie_param'}, - {'in': 'header', 'name': 'header_param'}, - ], - 'requestBody': { - 'content': {'application/json': {'schema': {'properties': {'body_param': {'type': 'string'}}}}}} - }, - 'parameters': [] + "server_url": "http://www.example.com/{path_param}", + "method": "post", + "author": "", + "openapi": { + "parameters": [ + {"in": "path", "name": "path_param"}, + {"in": "query", "name": "query_param"}, + {"in": "cookie", "name": "cookie_param"}, + {"in": "header", "name": "header_param"}, + ], + "requestBody": { + "content": {"application/json": {"schema": {"properties": {"body_param": {"type": "string"}}}}} + }, + }, + "parameters": [], } parameters = { - 'path_param': 'p_param', - 'query_param': 'q_param', - 'cookie_param': 'c_param', - 'header_param': 'h_param', - 'body_param': 'b_param', + "path_param": "p_param", + "query_param": "q_param", + "cookie_param": "c_param", + "header_param": "h_param", + "body_param": "b_param", } def test_api_tool(setup_http_mock): - tool = ApiTool(api_bundle=tool_bundle, runtime=Tool.Runtime(credentials={'auth_type': 'none'})) + tool = ApiTool(api_bundle=tool_bundle, runtime=Tool.Runtime(credentials={"auth_type": "none"})) headers = tool.assembling_request(parameters) response = tool.do_http_request(tool.api_bundle.server_url, tool.api_bundle.method, headers, parameters) assert response.status_code == 200 - assert '/p_param' == response.request.url.path - assert b'query_param=q_param' == response.request.url.query - assert 'h_param' == response.request.headers.get('header_param') - assert 'application/json' == response.request.headers.get('content-type') - assert 'cookie_param=c_param' == response.request.headers.get('cookie') - assert 'b_param' in response.content.decode() + assert "/p_param" == response.request.url.path + assert b"query_param=q_param" == response.request.url.query + assert "h_param" == response.request.headers.get("header_param") + assert "application/json" == response.request.headers.get("content-type") + assert "cookie_param=c_param" == response.request.headers.get("cookie") + assert "b_param" in response.content.decode() diff --git a/api/tests/integration_tests/tools/test_all_provider.py b/api/tests/integration_tests/tools/test_all_provider.py index 2811bc816d..2dfce749b3 100644 --- a/api/tests/integration_tests/tools/test_all_provider.py +++ b/api/tests/integration_tests/tools/test_all_provider.py @@ -7,16 +7,17 @@ provider_names = [provider.identity.name for provider in provider_generator] ToolManager.clear_builtin_providers_cache() provider_generator = ToolManager.list_builtin_providers() -@pytest.mark.parametrize('name', provider_names) + +@pytest.mark.parametrize("name", provider_names) def test_tool_providers(benchmark, name): """ Test that all tool providers can be loaded """ - + def test(generator): try: return next(generator) except StopIteration: return None - - benchmark.pedantic(test, args=(provider_generator,), iterations=1, rounds=1) \ No newline at end of file + + benchmark.pedantic(test, args=(provider_generator,), iterations=1, rounds=1) diff --git a/api/tests/integration_tests/utils/parent_class.py b/api/tests/integration_tests/utils/parent_class.py index 39fc95256e..6a6de1cc41 100644 --- a/api/tests/integration_tests/utils/parent_class.py +++ b/api/tests/integration_tests/utils/parent_class.py @@ -3,4 +3,4 @@ class ParentClass: self.name = name def get_name(self): - return self.name \ No newline at end of file + return self.name diff --git a/api/tests/integration_tests/utils/test_module_import_helper.py b/api/tests/integration_tests/utils/test_module_import_helper.py index 256c9a911f..7d32f5ae66 100644 --- a/api/tests/integration_tests/utils/test_module_import_helper.py +++ b/api/tests/integration_tests/utils/test_module_import_helper.py @@ -7,26 +7,26 @@ from tests.integration_tests.utils.parent_class import ParentClass def test_loading_subclass_from_source(): current_path = os.getcwd() module = load_single_subclass_from_source( - module_name='ChildClass', - script_path=os.path.join(current_path, 'child_class.py'), - parent_type=ParentClass) - assert module and module.__name__ == 'ChildClass' + module_name="ChildClass", script_path=os.path.join(current_path, "child_class.py"), parent_type=ParentClass + ) + assert module and module.__name__ == "ChildClass" def test_load_import_module_from_source(): current_path = os.getcwd() module = import_module_from_source( - module_name='ChildClass', - py_file_path=os.path.join(current_path, 'child_class.py')) - assert module and module.__name__ == 'ChildClass' + module_name="ChildClass", py_file_path=os.path.join(current_path, "child_class.py") + ) + assert module and module.__name__ == "ChildClass" def test_lazy_loading_subclass_from_source(): current_path = os.getcwd() clz = load_single_subclass_from_source( - module_name='LazyLoadChildClass', - script_path=os.path.join(current_path, 'lazy_load_class.py'), + module_name="LazyLoadChildClass", + script_path=os.path.join(current_path, "lazy_load_class.py"), parent_type=ParentClass, - use_lazy_loader=True) - instance = clz('dify') - assert instance.get_name() == 'dify' + use_lazy_loader=True, + ) + instance = clz("dify") + assert instance.get_name() == "dify" diff --git a/api/tests/integration_tests/vdb/__mock/tcvectordb.py b/api/tests/integration_tests/vdb/__mock/tcvectordb.py index f8165cba94..571c1e3d44 100644 --- a/api/tests/integration_tests/vdb/__mock/tcvectordb.py +++ b/api/tests/integration_tests/vdb/__mock/tcvectordb.py @@ -13,11 +13,15 @@ from xinference_client.types import Embedding class MockTcvectordbClass: - - def VectorDBClient(self, url=None, username='', key='', - read_consistency: ReadConsistency = ReadConsistency.EVENTUAL_CONSISTENCY, - timeout=5, - adapter: HTTPAdapter = None): + def VectorDBClient( + self, + url=None, + username="", + key="", + read_consistency: ReadConsistency = ReadConsistency.EVENTUAL_CONSISTENCY, + timeout=5, + adapter: HTTPAdapter = None, + ): self._conn = None self._read_consistency = read_consistency @@ -26,105 +30,96 @@ class MockTcvectordbClass: Database( conn=self._conn, read_consistency=self._read_consistency, - name='dify', - )] + name="dify", + ) + ] def list_collections(self, timeout: Optional[float] = None) -> list[Collection]: return [] def drop_collection(self, name: str, timeout: Optional[float] = None): - return { - "code": 0, - "msg": "operation success" - } + return {"code": 0, "msg": "operation success"} def create_collection( - self, - name: str, - shard: int, - replicas: int, - description: str, - index: Index, - embedding: Embedding = None, - timeout: float = None, + self, + name: str, + shard: int, + replicas: int, + description: str, + index: Index, + embedding: Embedding = None, + timeout: float = None, ) -> Collection: - return Collection(self, name, shard, replicas, description, index, embedding=embedding, - read_consistency=self._read_consistency, timeout=timeout) - - def describe_collection(self, name: str, timeout: Optional[float] = None) -> Collection: - collection = Collection( + return Collection( self, name, - shard=1, - replicas=2, - description=name, - timeout=timeout + shard, + replicas, + description, + index, + embedding=embedding, + read_consistency=self._read_consistency, + timeout=timeout, ) + + def describe_collection(self, name: str, timeout: Optional[float] = None) -> Collection: + collection = Collection(self, name, shard=1, replicas=2, description=name, timeout=timeout) return collection def collection_upsert( - self, - documents: list[Document], - timeout: Optional[float] = None, - build_index: bool = True, - **kwargs + self, documents: list[Document], timeout: Optional[float] = None, build_index: bool = True, **kwargs ): - return { - "code": 0, - "msg": "operation success" - } + return {"code": 0, "msg": "operation success"} def collection_search( - self, - vectors: list[list[float]], - filter: Filter = None, - params=None, - retrieve_vector: bool = False, - limit: int = 10, - output_fields: Optional[list[str]] = None, - timeout: Optional[float] = None, + self, + vectors: list[list[float]], + filter: Filter = None, + params=None, + retrieve_vector: bool = False, + limit: int = 10, + output_fields: Optional[list[str]] = None, + timeout: Optional[float] = None, ) -> list[list[dict]]: - return [[{'metadata': '{"doc_id":"foo1"}', 'text': 'text', 'doc_id': 'foo1', 'score': 0.1}]] + return [[{"metadata": '{"doc_id":"foo1"}', "text": "text", "doc_id": "foo1", "score": 0.1}]] def collection_query( - self, - document_ids: Optional[list] = None, - retrieve_vector: bool = False, - limit: Optional[int] = None, - offset: Optional[int] = None, - filter: Optional[Filter] = None, - output_fields: Optional[list[str]] = None, - timeout: Optional[float] = None, + self, + document_ids: Optional[list] = None, + retrieve_vector: bool = False, + limit: Optional[int] = None, + offset: Optional[int] = None, + filter: Optional[Filter] = None, + output_fields: Optional[list[str]] = None, + timeout: Optional[float] = None, ) -> list[dict]: - return [{'metadata': '{"doc_id":"foo1"}', 'text': 'text', 'doc_id': 'foo1', 'score': 0.1}] + return [{"metadata": '{"doc_id":"foo1"}', "text": "text", "doc_id": "foo1", "score": 0.1}] def collection_delete( - self, - document_ids: list[str] = None, - filter: Filter = None, - timeout: float = None, + self, + document_ids: list[str] = None, + filter: Filter = None, + timeout: float = None, ): - return { - "code": 0, - "msg": "operation success" - } + return {"code": 0, "msg": "operation success"} -MOCK = os.getenv('MOCK_SWITCH', 'false').lower() == 'true' +MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" + @pytest.fixture def setup_tcvectordb_mock(request, monkeypatch: MonkeyPatch): if MOCK: - monkeypatch.setattr(VectorDBClient, '__init__', MockTcvectordbClass.VectorDBClient) - monkeypatch.setattr(VectorDBClient, 'list_databases', MockTcvectordbClass.list_databases) - monkeypatch.setattr(Database, 'collection', MockTcvectordbClass.describe_collection) - monkeypatch.setattr(Database, 'list_collections', MockTcvectordbClass.list_collections) - monkeypatch.setattr(Database, 'drop_collection', MockTcvectordbClass.drop_collection) - monkeypatch.setattr(Database, 'create_collection', MockTcvectordbClass.create_collection) - monkeypatch.setattr(Collection, 'upsert', MockTcvectordbClass.collection_upsert) - monkeypatch.setattr(Collection, 'search', MockTcvectordbClass.collection_search) - monkeypatch.setattr(Collection, 'query', MockTcvectordbClass.collection_query) - monkeypatch.setattr(Collection, 'delete', MockTcvectordbClass.collection_delete) + monkeypatch.setattr(VectorDBClient, "__init__", MockTcvectordbClass.VectorDBClient) + monkeypatch.setattr(VectorDBClient, "list_databases", MockTcvectordbClass.list_databases) + monkeypatch.setattr(Database, "collection", MockTcvectordbClass.describe_collection) + monkeypatch.setattr(Database, "list_collections", MockTcvectordbClass.list_collections) + monkeypatch.setattr(Database, "drop_collection", MockTcvectordbClass.drop_collection) + monkeypatch.setattr(Database, "create_collection", MockTcvectordbClass.create_collection) + monkeypatch.setattr(Collection, "upsert", MockTcvectordbClass.collection_upsert) + monkeypatch.setattr(Collection, "search", MockTcvectordbClass.collection_search) + monkeypatch.setattr(Collection, "query", MockTcvectordbClass.collection_query) + monkeypatch.setattr(Collection, "delete", MockTcvectordbClass.collection_delete) yield diff --git a/api/tests/integration_tests/vdb/analyticdb/test_analyticdb.py b/api/tests/integration_tests/vdb/analyticdb/test_analyticdb.py index d6067af73b..970b98edc3 100644 --- a/api/tests/integration_tests/vdb/analyticdb/test_analyticdb.py +++ b/api/tests/integration_tests/vdb/analyticdb/test_analyticdb.py @@ -26,6 +26,7 @@ class AnalyticdbVectorTest(AbstractVectorTest): def run_all_tests(self): self.vector.delete() return super().run_all_tests() - + + def test_chroma_vector(setup_mock_redis): - AnalyticdbVectorTest().run_all_tests() \ No newline at end of file + AnalyticdbVectorTest().run_all_tests() diff --git a/api/tests/integration_tests/vdb/chroma/test_chroma.py b/api/tests/integration_tests/vdb/chroma/test_chroma.py index 033f9a54da..ac7b5cbda4 100644 --- a/api/tests/integration_tests/vdb/chroma/test_chroma.py +++ b/api/tests/integration_tests/vdb/chroma/test_chroma.py @@ -14,13 +14,13 @@ class ChromaVectorTest(AbstractVectorTest): self.vector = ChromaVector( collection_name=self.collection_name, config=ChromaConfig( - host='localhost', + host="localhost", port=8000, tenant=chromadb.DEFAULT_TENANT, database=chromadb.DEFAULT_DATABASE, auth_provider="chromadb.auth.token_authn.TokenAuthClientProvider", auth_credentials="difyai123456", - ) + ), ) def search_by_full_text(self): diff --git a/api/tests/integration_tests/vdb/elasticsearch/test_elasticsearch.py b/api/tests/integration_tests/vdb/elasticsearch/test_elasticsearch.py index b1c1cc10d9..2a0c1bb038 100644 --- a/api/tests/integration_tests/vdb/elasticsearch/test_elasticsearch.py +++ b/api/tests/integration_tests/vdb/elasticsearch/test_elasticsearch.py @@ -8,16 +8,11 @@ from tests.integration_tests.vdb.test_vector_store import ( class ElasticSearchVectorTest(AbstractVectorTest): def __init__(self): super().__init__() - self.attributes = ['doc_id', 'dataset_id', 'document_id', 'doc_hash'] + self.attributes = ["doc_id", "dataset_id", "document_id", "doc_hash"] self.vector = ElasticSearchVector( index_name=self.collection_name.lower(), - config=ElasticSearchConfig( - host='http://localhost', - port='9200', - username='elastic', - password='elastic' - ), - attributes=self.attributes + config=ElasticSearchConfig(host="http://localhost", port="9200", username="elastic", password="elastic"), + attributes=self.attributes, ) diff --git a/api/tests/integration_tests/vdb/milvus/test_milvus.py b/api/tests/integration_tests/vdb/milvus/test_milvus.py index 9c0917ef30..7b5f19ea62 100644 --- a/api/tests/integration_tests/vdb/milvus/test_milvus.py +++ b/api/tests/integration_tests/vdb/milvus/test_milvus.py @@ -12,11 +12,11 @@ class MilvusVectorTest(AbstractVectorTest): self.vector = MilvusVector( collection_name=self.collection_name, config=MilvusConfig( - host='localhost', + host="localhost", port=19530, - user='root', - password='Milvus', - ) + user="root", + password="Milvus", + ), ) def search_by_full_text(self): @@ -25,7 +25,7 @@ class MilvusVectorTest(AbstractVectorTest): assert len(hits_by_full_text) == 0 def get_ids_by_metadata_field(self): - ids = self.vector.get_ids_by_metadata_field(key='document_id', value=self.example_doc_id) + ids = self.vector.get_ids_by_metadata_field(key="document_id", value=self.example_doc_id) assert len(ids) == 1 diff --git a/api/tests/integration_tests/vdb/myscale/test_myscale.py b/api/tests/integration_tests/vdb/myscale/test_myscale.py index b6260d549a..55b2fde427 100644 --- a/api/tests/integration_tests/vdb/myscale/test_myscale.py +++ b/api/tests/integration_tests/vdb/myscale/test_myscale.py @@ -21,7 +21,7 @@ class MyScaleVectorTest(AbstractVectorTest): ) def get_ids_by_metadata_field(self): - ids = self.vector.get_ids_by_metadata_field(key='document_id', value=self.example_doc_id) + ids = self.vector.get_ids_by_metadata_field(key="document_id", value=self.example_doc_id) assert len(ids) == 1 diff --git a/api/tests/integration_tests/vdb/opensearch/test_opensearch.py b/api/tests/integration_tests/vdb/opensearch/test_opensearch.py index ea1e05da90..a99b81d41e 100644 --- a/api/tests/integration_tests/vdb/opensearch/test_opensearch.py +++ b/api/tests/integration_tests/vdb/opensearch/test_opensearch.py @@ -29,54 +29,55 @@ class TestOpenSearchVector: self.example_doc_id = "example_doc_id" self.vector = OpenSearchVector( collection_name=self.collection_name, - config=OpenSearchConfig( - host='localhost', - port=9200, - user='admin', - password='password', - secure=False - ) + config=OpenSearchConfig(host="localhost", port=9200, user="admin", password="password", secure=False), ) self.vector._client = MagicMock() - @pytest.mark.parametrize("search_response, expected_length, expected_doc_id", [ - ({ - 'hits': { - 'total': {'value': 1}, - 'hits': [ - {'_source': {'page_content': get_example_text(), 'metadata': {"document_id": "example_doc_id"}}} - ] - } - }, 1, "example_doc_id"), - ({ - 'hits': { - 'total': {'value': 0}, - 'hits': [] - } - }, 0, None) - ]) + @pytest.mark.parametrize( + "search_response, expected_length, expected_doc_id", + [ + ( + { + "hits": { + "total": {"value": 1}, + "hits": [ + { + "_source": { + "page_content": get_example_text(), + "metadata": {"document_id": "example_doc_id"}, + } + } + ], + } + }, + 1, + "example_doc_id", + ), + ({"hits": {"total": {"value": 0}, "hits": []}}, 0, None), + ], + ) def test_search_by_full_text(self, search_response, expected_length, expected_doc_id): self.vector._client.search.return_value = search_response hits_by_full_text = self.vector.search_by_full_text(query=get_example_text()) assert len(hits_by_full_text) == expected_length if expected_length > 0: - assert hits_by_full_text[0].metadata['document_id'] == expected_doc_id + assert hits_by_full_text[0].metadata["document_id"] == expected_doc_id def test_search_by_vector(self): vector = [0.1] * 128 mock_response = { - 'hits': { - 'total': {'value': 1}, - 'hits': [ + "hits": { + "total": {"value": 1}, + "hits": [ { - '_source': { + "_source": { Field.CONTENT_KEY.value: get_example_text(), - Field.METADATA_KEY.value: {"document_id": self.example_doc_id} + Field.METADATA_KEY.value: {"document_id": self.example_doc_id}, }, - '_score': 1.0 + "_score": 1.0, } - ] + ], } } self.vector._client.search.return_value = mock_response @@ -85,53 +86,45 @@ class TestOpenSearchVector: print("Hits by vector:", hits_by_vector) print("Expected document ID:", self.example_doc_id) - print("Actual document ID:", hits_by_vector[0].metadata['document_id'] if hits_by_vector else "No hits") + print("Actual document ID:", hits_by_vector[0].metadata["document_id"] if hits_by_vector else "No hits") assert len(hits_by_vector) > 0, f"Expected at least one hit, got {len(hits_by_vector)}" - assert hits_by_vector[0].metadata['document_id'] == self.example_doc_id, \ - f"Expected document ID {self.example_doc_id}, got {hits_by_vector[0].metadata['document_id']}" + assert ( + hits_by_vector[0].metadata["document_id"] == self.example_doc_id + ), f"Expected document ID {self.example_doc_id}, got {hits_by_vector[0].metadata['document_id']}" def test_get_ids_by_metadata_field(self): - mock_response = { - 'hits': { - 'total': {'value': 1}, - 'hits': [{'_id': 'mock_id'}] - } - } + mock_response = {"hits": {"total": {"value": 1}, "hits": [{"_id": "mock_id"}]}} self.vector._client.search.return_value = mock_response doc = Document(page_content="Test content", metadata={"document_id": self.example_doc_id}) embedding = [0.1] * 128 - with patch('opensearchpy.helpers.bulk') as mock_bulk: + with patch("opensearchpy.helpers.bulk") as mock_bulk: mock_bulk.return_value = ([], []) self.vector.add_texts([doc], [embedding]) - ids = self.vector.get_ids_by_metadata_field(key='document_id', value=self.example_doc_id) + ids = self.vector.get_ids_by_metadata_field(key="document_id", value=self.example_doc_id) assert len(ids) == 1 - assert ids[0] == 'mock_id' + assert ids[0] == "mock_id" def test_add_texts(self): - self.vector._client.index.return_value = {'result': 'created'} + self.vector._client.index.return_value = {"result": "created"} doc = Document(page_content="Test content", metadata={"document_id": self.example_doc_id}) embedding = [0.1] * 128 - with patch('opensearchpy.helpers.bulk') as mock_bulk: + with patch("opensearchpy.helpers.bulk") as mock_bulk: mock_bulk.return_value = ([], []) self.vector.add_texts([doc], [embedding]) - mock_response = { - 'hits': { - 'total': {'value': 1}, - 'hits': [{'_id': 'mock_id'}] - } - } + mock_response = {"hits": {"total": {"value": 1}, "hits": [{"_id": "mock_id"}]}} self.vector._client.search.return_value = mock_response - ids = self.vector.get_ids_by_metadata_field(key='document_id', value=self.example_doc_id) + ids = self.vector.get_ids_by_metadata_field(key="document_id", value=self.example_doc_id) assert len(ids) == 1 - assert ids[0] == 'mock_id' + assert ids[0] == "mock_id" + @pytest.mark.usefixtures("setup_mock_redis") class TestOpenSearchVectorWithRedis: @@ -141,11 +134,11 @@ class TestOpenSearchVectorWithRedis: def test_search_by_full_text(self): self.tester.setup_method() search_response = { - 'hits': { - 'total': {'value': 1}, - 'hits': [ - {'_source': {'page_content': get_example_text(), 'metadata': {"document_id": "example_doc_id"}}} - ] + "hits": { + "total": {"value": 1}, + "hits": [ + {"_source": {"page_content": get_example_text(), "metadata": {"document_id": "example_doc_id"}}} + ], } } expected_length = 1 diff --git a/api/tests/integration_tests/vdb/pgvecto_rs/test_pgvecto_rs.py b/api/tests/integration_tests/vdb/pgvecto_rs/test_pgvecto_rs.py index e6ce8aab3d..6b33217d15 100644 --- a/api/tests/integration_tests/vdb/pgvecto_rs/test_pgvecto_rs.py +++ b/api/tests/integration_tests/vdb/pgvecto_rs/test_pgvecto_rs.py @@ -12,13 +12,13 @@ class PGVectoRSVectorTest(AbstractVectorTest): self.vector = PGVectoRS( collection_name=self.collection_name.lower(), config=PgvectoRSConfig( - host='localhost', + host="localhost", port=5431, - user='postgres', - password='difyai123456', - database='dify', + user="postgres", + password="difyai123456", + database="dify", ), - dim=128 + dim=128, ) def search_by_full_text(self): @@ -27,8 +27,9 @@ class PGVectoRSVectorTest(AbstractVectorTest): assert len(hits_by_full_text) == 0 def get_ids_by_metadata_field(self): - ids = self.vector.get_ids_by_metadata_field(key='document_id', value=self.example_doc_id) + ids = self.vector.get_ids_by_metadata_field(key="document_id", value=self.example_doc_id) assert len(ids) == 1 + def test_pgvecot_rs(setup_mock_redis): PGVectoRSVectorTest().run_all_tests() diff --git a/api/tests/integration_tests/vdb/qdrant/test_qdrant.py b/api/tests/integration_tests/vdb/qdrant/test_qdrant.py index 34beb25d45..61d9a9e712 100644 --- a/api/tests/integration_tests/vdb/qdrant/test_qdrant.py +++ b/api/tests/integration_tests/vdb/qdrant/test_qdrant.py @@ -8,14 +8,14 @@ from tests.integration_tests.vdb.test_vector_store import ( class QdrantVectorTest(AbstractVectorTest): def __init__(self): super().__init__() - self.attributes = ['doc_id', 'dataset_id', 'document_id', 'doc_hash'] + self.attributes = ["doc_id", "dataset_id", "document_id", "doc_hash"] self.vector = QdrantVector( collection_name=self.collection_name, group_id=self.dataset_id, config=QdrantConfig( - endpoint='http://localhost:6333', - api_key='difyai123456', - ) + endpoint="http://localhost:6333", + api_key="difyai123456", + ), ) diff --git a/api/tests/integration_tests/vdb/tcvectordb/test_tencent.py b/api/tests/integration_tests/vdb/tcvectordb/test_tencent.py index 8937fe0ea1..1b9466e27f 100644 --- a/api/tests/integration_tests/vdb/tcvectordb/test_tencent.py +++ b/api/tests/integration_tests/vdb/tcvectordb/test_tencent.py @@ -7,18 +7,22 @@ from tests.integration_tests.vdb.test_vector_store import AbstractVectorTest, ge mock_client = MagicMock() mock_client.list_databases.return_value = [{"name": "test"}] + class TencentVectorTest(AbstractVectorTest): def __init__(self): super().__init__() - self.vector = TencentVector("dify", TencentConfig( - url="http://127.0.0.1", - api_key="dify", - timeout=30, - username="dify", - database="dify", - shard=1, - replicas=2, - )) + self.vector = TencentVector( + "dify", + TencentConfig( + url="http://127.0.0.1", + api_key="dify", + timeout=30, + username="dify", + database="dify", + shard=1, + replicas=2, + ), + ) def search_by_vector(self): hits_by_vector = self.vector.search_by_vector(query_vector=self.example_embedding) @@ -28,8 +32,6 @@ class TencentVectorTest(AbstractVectorTest): hits_by_full_text = self.vector.search_by_full_text(query=get_example_text()) assert len(hits_by_full_text) == 0 -def test_tencent_vector(setup_mock_redis,setup_tcvectordb_mock): + +def test_tencent_vector(setup_mock_redis, setup_tcvectordb_mock): TencentVectorTest().run_all_tests() - - - diff --git a/api/tests/integration_tests/vdb/test_vector_store.py b/api/tests/integration_tests/vdb/test_vector_store.py index cb35822709..a11cd225b3 100644 --- a/api/tests/integration_tests/vdb/test_vector_store.py +++ b/api/tests/integration_tests/vdb/test_vector_store.py @@ -10,7 +10,7 @@ from models.dataset import Dataset def get_example_text() -> str: - return 'test_text' + return "test_text" def get_example_document(doc_id: str) -> Document: @@ -21,7 +21,7 @@ def get_example_document(doc_id: str) -> Document: "doc_hash": doc_id, "document_id": doc_id, "dataset_id": doc_id, - } + }, ) return doc @@ -45,7 +45,7 @@ class AbstractVectorTest: def __init__(self): self.vector = None self.dataset_id = str(uuid.uuid4()) - self.collection_name = Dataset.gen_collection_name_by_id(self.dataset_id) + '_test' + self.collection_name = Dataset.gen_collection_name_by_id(self.dataset_id) + "_test" self.example_doc_id = str(uuid.uuid4()) self.example_embedding = [1.001 * i for i in range(128)] @@ -58,12 +58,12 @@ class AbstractVectorTest: def search_by_vector(self): hits_by_vector: list[Document] = self.vector.search_by_vector(query_vector=self.example_embedding) assert len(hits_by_vector) == 1 - assert hits_by_vector[0].metadata['doc_id'] == self.example_doc_id + assert hits_by_vector[0].metadata["doc_id"] == self.example_doc_id def search_by_full_text(self): hits_by_full_text: list[Document] = self.vector.search_by_full_text(query=get_example_text()) assert len(hits_by_full_text) == 1 - assert hits_by_full_text[0].metadata['doc_id'] == self.example_doc_id + assert hits_by_full_text[0].metadata["doc_id"] == self.example_doc_id def delete_vector(self): self.vector.delete() @@ -76,14 +76,14 @@ class AbstractVectorTest: documents = [get_example_document(doc_id=str(uuid.uuid4())) for _ in range(batch_size)] embeddings = [self.example_embedding] * batch_size self.vector.add_texts(documents=documents, embeddings=embeddings) - return [doc.metadata['doc_id'] for doc in documents] + return [doc.metadata["doc_id"] for doc in documents] def text_exists(self): assert self.vector.text_exists(self.example_doc_id) def get_ids_by_metadata_field(self): with pytest.raises(NotImplementedError): - self.vector.get_ids_by_metadata_field(key='key', value='value') + self.vector.get_ids_by_metadata_field(key="key", value="value") def run_all_tests(self): self.create_vector() diff --git a/api/tests/integration_tests/vdb/tidb_vector/test_tidb_vector.py b/api/tests/integration_tests/vdb/tidb_vector/test_tidb_vector.py index 18e00dbedd..2a5320c7d5 100644 --- a/api/tests/integration_tests/vdb/tidb_vector/test_tidb_vector.py +++ b/api/tests/integration_tests/vdb/tidb_vector/test_tidb_vector.py @@ -10,15 +10,15 @@ from tests.integration_tests.vdb.test_vector_store import AbstractVectorTest, ge @pytest.fixture def tidb_vector(): return TiDBVector( - collection_name='test_collection', + collection_name="test_collection", config=TiDBVectorConfig( host="xxx.eu-central-1.xxx.aws.tidbcloud.com", port="4000", user="xxx.root", password="xxxxxx", database="dify", - program_name="langgenius/dify" - ) + program_name="langgenius/dify", + ), ) @@ -40,7 +40,7 @@ class TiDBVectorTest(AbstractVectorTest): assert len(hits_by_full_text) == 0 def get_ids_by_metadata_field(self): - ids = self.vector.get_ids_by_metadata_field(key='document_id', value=self.example_doc_id) + ids = self.vector.get_ids_by_metadata_field(key="document_id", value=self.example_doc_id) assert len(ids) == 0 @@ -50,12 +50,12 @@ def test_tidb_vector(setup_mock_redis, setup_tidbvector_mock, tidb_vector, mock_ @pytest.fixture def mock_session(): - with patch('core.rag.datasource.vdb.tidb_vector.tidb_vector.Session', new_callable=MagicMock) as mock_session: + with patch("core.rag.datasource.vdb.tidb_vector.tidb_vector.Session", new_callable=MagicMock) as mock_session: yield mock_session @pytest.fixture def setup_tidbvector_mock(tidb_vector, mock_session): - with patch('core.rag.datasource.vdb.tidb_vector.tidb_vector.create_engine'): - with patch.object(tidb_vector._engine, 'connect'): + with patch("core.rag.datasource.vdb.tidb_vector.tidb_vector.create_engine"): + with patch.object(tidb_vector._engine, "connect"): yield tidb_vector diff --git a/api/tests/integration_tests/vdb/weaviate/test_weaviate.py b/api/tests/integration_tests/vdb/weaviate/test_weaviate.py index 3d540cee32..a6f55420d3 100644 --- a/api/tests/integration_tests/vdb/weaviate/test_weaviate.py +++ b/api/tests/integration_tests/vdb/weaviate/test_weaviate.py @@ -8,14 +8,14 @@ from tests.integration_tests.vdb.test_vector_store import ( class WeaviateVectorTest(AbstractVectorTest): def __init__(self): super().__init__() - self.attributes = ['doc_id', 'dataset_id', 'document_id', 'doc_hash'] + self.attributes = ["doc_id", "dataset_id", "document_id", "doc_hash"] self.vector = WeaviateVector( collection_name=self.collection_name, config=WeaviateConfig( - endpoint='http://localhost:8080', - api_key='WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih', + endpoint="http://localhost:8080", + api_key="WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih", ), - attributes=self.attributes + attributes=self.attributes, ) diff --git a/api/tests/integration_tests/workflow/nodes/__mock/code_executor.py b/api/tests/integration_tests/workflow/nodes/__mock/code_executor.py index 51398ccb32..6fb8c86b82 100644 --- a/api/tests/integration_tests/workflow/nodes/__mock/code_executor.py +++ b/api/tests/integration_tests/workflow/nodes/__mock/code_executor.py @@ -7,25 +7,22 @@ from jinja2 import Template from core.helper.code_executor.code_executor import CodeExecutor, CodeLanguage -MOCK = os.getenv('MOCK_SWITCH', 'false') == 'true' +MOCK = os.getenv("MOCK_SWITCH", "false") == "true" + class MockedCodeExecutor: @classmethod - def invoke(cls, language: Literal['python3', 'javascript', 'jinja2'], - code: str, inputs: dict) -> dict: + def invoke(cls, language: Literal["python3", "javascript", "jinja2"], code: str, inputs: dict) -> dict: # invoke directly match language: case CodeLanguage.PYTHON3: - return { - "result": 3 - } + return {"result": 3} case CodeLanguage.JINJA2: - return { - "result": Template(code).render(inputs) - } + return {"result": Template(code).render(inputs)} case _: raise Exception("Language not supported") + @pytest.fixture def setup_code_executor_mock(request, monkeypatch: MonkeyPatch): if not MOCK: diff --git a/api/tests/integration_tests/workflow/nodes/__mock/http.py b/api/tests/integration_tests/workflow/nodes/__mock/http.py index beb5c04009..cfc47bcad4 100644 --- a/api/tests/integration_tests/workflow/nodes/__mock/http.py +++ b/api/tests/integration_tests/workflow/nodes/__mock/http.py @@ -6,38 +6,32 @@ import httpx import pytest from _pytest.monkeypatch import MonkeyPatch -MOCK = os.getenv('MOCK_SWITCH', 'false') == 'true' +MOCK = os.getenv("MOCK_SWITCH", "false") == "true" class MockedHttp: - def httpx_request(method: Literal['GET', 'POST', 'PUT', 'DELETE', 'PATCH', 'HEAD'], - url: str, **kwargs) -> httpx.Response: + def httpx_request( + method: Literal["GET", "POST", "PUT", "DELETE", "PATCH", "HEAD"], url: str, **kwargs + ) -> httpx.Response: """ Mocked httpx.request """ - if url == 'http://404.com': - response = httpx.Response( - status_code=404, - request=httpx.Request(method, url), - content=b'Not Found' - ) + if url == "http://404.com": + response = httpx.Response(status_code=404, request=httpx.Request(method, url), content=b"Not Found") return response # get data, files - data = kwargs.get('data', None) - files = kwargs.get('files', None) + data = kwargs.get("data", None) + files = kwargs.get("files", None) if data is not None: - resp = dumps(data).encode('utf-8') + resp = dumps(data).encode("utf-8") elif files is not None: - resp = dumps(files).encode('utf-8') + resp = dumps(files).encode("utf-8") else: - resp = b'OK' + resp = b"OK" response = httpx.Response( - status_code=200, - request=httpx.Request(method, url), - headers=kwargs.get('headers', {}), - content=resp + status_code=200, request=httpx.Request(method, url), headers=kwargs.get("headers", {}), content=resp ) return response diff --git a/api/tests/integration_tests/workflow/nodes/code_executor/test_code_executor.py b/api/tests/integration_tests/workflow/nodes/code_executor/test_code_executor.py index ae6e7ceaa7..44dcf9a10f 100644 --- a/api/tests/integration_tests/workflow/nodes/code_executor/test_code_executor.py +++ b/api/tests/integration_tests/workflow/nodes/code_executor/test_code_executor.py @@ -2,10 +2,10 @@ import pytest from core.helper.code_executor.code_executor import CodeExecutionException, CodeExecutor -CODE_LANGUAGE = 'unsupported_language' +CODE_LANGUAGE = "unsupported_language" def test_unsupported_with_code_template(): with pytest.raises(CodeExecutionException) as e: - CodeExecutor.execute_workflow_code_template(language=CODE_LANGUAGE, code='', inputs={}) - assert str(e.value) == f'Unsupported language {CODE_LANGUAGE}' + CodeExecutor.execute_workflow_code_template(language=CODE_LANGUAGE, code="", inputs={}) + assert str(e.value) == f"Unsupported language {CODE_LANGUAGE}" diff --git a/api/tests/integration_tests/workflow/nodes/code_executor/test_code_javascript.py b/api/tests/integration_tests/workflow/nodes/code_executor/test_code_javascript.py index 0757caba7b..09fcb68cf0 100644 --- a/api/tests/integration_tests/workflow/nodes/code_executor/test_code_javascript.py +++ b/api/tests/integration_tests/workflow/nodes/code_executor/test_code_javascript.py @@ -9,8 +9,8 @@ CODE_LANGUAGE = CodeLanguage.JAVASCRIPT def test_javascript_plain(): code = 'console.log("Hello World")' - result_message = CodeExecutor.execute_code(language=CODE_LANGUAGE, preload='', code=code) - assert result_message == 'Hello World\n' + result_message = CodeExecutor.execute_code(language=CODE_LANGUAGE, preload="", code=code) + assert result_message == "Hello World\n" def test_javascript_json(): @@ -18,15 +18,18 @@ def test_javascript_json(): obj = {'Hello': 'World'} console.log(JSON.stringify(obj)) """) - result = CodeExecutor.execute_code(language=CODE_LANGUAGE, preload='', code=code) + result = CodeExecutor.execute_code(language=CODE_LANGUAGE, preload="", code=code) assert result == '{"Hello":"World"}\n' def test_javascript_with_code_template(): result = CodeExecutor.execute_workflow_code_template( - language=CODE_LANGUAGE, code=JavascriptCodeProvider.get_default_code(), - inputs={'arg1': 'Hello', 'arg2': 'World'}) - assert result == {'result': 'HelloWorld'} + language=CODE_LANGUAGE, + code=JavascriptCodeProvider.get_default_code(), + inputs={"arg1": "Hello", "arg2": "World"}, + ) + assert result == {"result": "HelloWorld"} + def test_javascript_get_runner_script(): runner_script = NodeJsTemplateTransformer.get_runner_script() diff --git a/api/tests/integration_tests/workflow/nodes/code_executor/test_code_jinja2.py b/api/tests/integration_tests/workflow/nodes/code_executor/test_code_jinja2.py index 425f4cbdd4..94903cf796 100644 --- a/api/tests/integration_tests/workflow/nodes/code_executor/test_code_jinja2.py +++ b/api/tests/integration_tests/workflow/nodes/code_executor/test_code_jinja2.py @@ -7,21 +7,24 @@ CODE_LANGUAGE = CodeLanguage.JINJA2 def test_jinja2(): - template = 'Hello {{template}}' - inputs = base64.b64encode(b'{"template": "World"}').decode('utf-8') - code = (Jinja2TemplateTransformer.get_runner_script() - .replace(Jinja2TemplateTransformer._code_placeholder, template) - .replace(Jinja2TemplateTransformer._inputs_placeholder, inputs)) - result = CodeExecutor.execute_code(language=CODE_LANGUAGE, - preload=Jinja2TemplateTransformer.get_preload_script(), - code=code) - assert result == '<>Hello World<>\n' + template = "Hello {{template}}" + inputs = base64.b64encode(b'{"template": "World"}').decode("utf-8") + code = ( + Jinja2TemplateTransformer.get_runner_script() + .replace(Jinja2TemplateTransformer._code_placeholder, template) + .replace(Jinja2TemplateTransformer._inputs_placeholder, inputs) + ) + result = CodeExecutor.execute_code( + language=CODE_LANGUAGE, preload=Jinja2TemplateTransformer.get_preload_script(), code=code + ) + assert result == "<>Hello World<>\n" def test_jinja2_with_code_template(): result = CodeExecutor.execute_workflow_code_template( - language=CODE_LANGUAGE, code='Hello {{template}}', inputs={'template': 'World'}) - assert result == {'result': 'Hello World'} + language=CODE_LANGUAGE, code="Hello {{template}}", inputs={"template": "World"} + ) + assert result == {"result": "Hello World"} def test_jinja2_get_runner_script(): diff --git a/api/tests/integration_tests/workflow/nodes/code_executor/test_code_python3.py b/api/tests/integration_tests/workflow/nodes/code_executor/test_code_python3.py index 9d7e86cd68..cbe4a5d335 100644 --- a/api/tests/integration_tests/workflow/nodes/code_executor/test_code_python3.py +++ b/api/tests/integration_tests/workflow/nodes/code_executor/test_code_python3.py @@ -10,8 +10,8 @@ CODE_LANGUAGE = CodeLanguage.PYTHON3 def test_python3_plain(): code = 'print("Hello World")' - result = CodeExecutor.execute_code(language=CODE_LANGUAGE, preload='', code=code) - assert result == 'Hello World\n' + result = CodeExecutor.execute_code(language=CODE_LANGUAGE, preload="", code=code) + assert result == "Hello World\n" def test_python3_json(): @@ -19,14 +19,15 @@ def test_python3_json(): import json print(json.dumps({'Hello': 'World'})) """) - result = CodeExecutor.execute_code(language=CODE_LANGUAGE, preload='', code=code) + result = CodeExecutor.execute_code(language=CODE_LANGUAGE, preload="", code=code) assert result == '{"Hello": "World"}\n' def test_python3_with_code_template(): result = CodeExecutor.execute_workflow_code_template( - language=CODE_LANGUAGE, code=Python3CodeProvider.get_default_code(), inputs={'arg1': 'Hello', 'arg2': 'World'}) - assert result == {'result': 'HelloWorld'} + language=CODE_LANGUAGE, code=Python3CodeProvider.get_default_code(), inputs={"arg1": "Hello", "arg2": "World"} + ) + assert result == {"result": "HelloWorld"} def test_python3_get_runner_script(): diff --git a/api/tests/integration_tests/workflow/nodes/test_code.py b/api/tests/integration_tests/workflow/nodes/test_code.py index 5c95258520..6f5421e108 100644 --- a/api/tests/integration_tests/workflow/nodes/test_code.py +++ b/api/tests/integration_tests/workflow/nodes/test_code.py @@ -9,137 +9,134 @@ from core.workflow.nodes.code.code_node import CodeNode from models.workflow import WorkflowNodeExecutionStatus from tests.integration_tests.workflow.nodes.__mock.code_executor import setup_code_executor_mock -CODE_MAX_STRING_LENGTH = int(getenv('CODE_MAX_STRING_LENGTH', '10000')) +CODE_MAX_STRING_LENGTH = int(getenv("CODE_MAX_STRING_LENGTH", "10000")) -@pytest.mark.parametrize('setup_code_executor_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True) def test_execute_code(setup_code_executor_mock): - code = ''' + code = """ def main(args1: int, args2: int) -> dict: return { "result": args1 + args2, } - ''' + """ # trim first 4 spaces at the beginning of each line - code = '\n'.join([line[4:] for line in code.split('\n')]) + code = "\n".join([line[4:] for line in code.split("\n")]) node = CodeNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", user_from=UserFrom.ACCOUNT, invoke_from=InvokeFrom.WEB_APP, config={ - 'id': '1', - 'data': { - 'outputs': { - 'result': { - 'type': 'number', + "id": "1", + "data": { + "outputs": { + "result": { + "type": "number", }, }, - 'title': '123', - 'variables': [ + "title": "123", + "variables": [ { - 'variable': 'args1', - 'value_selector': ['1', '123', 'args1'], + "variable": "args1", + "value_selector": ["1", "123", "args1"], }, - { - 'variable': 'args2', - 'value_selector': ['1', '123', 'args2'] - } + {"variable": "args2", "value_selector": ["1", "123", "args2"]}, ], - 'answer': '123', - 'code_language': 'python3', - 'code': code - } - } + "answer": "123", + "code_language": "python3", + "code": code, + }, + }, ) # construct variable pool pool = VariablePool(system_variables={}, user_inputs={}, environment_variables=[]) - pool.add(['1', '123', 'args1'], 1) - pool.add(['1', '123', 'args2'], 2) - + pool.add(["1", "123", "args1"], 1) + pool.add(["1", "123", "args2"], 2) + # execute node result = node.run(pool) assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert result.outputs['result'] == 3 + assert result.outputs["result"] == 3 assert result.error is None -@pytest.mark.parametrize('setup_code_executor_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True) def test_execute_code_output_validator(setup_code_executor_mock): - code = ''' + code = """ def main(args1: int, args2: int) -> dict: return { "result": args1 + args2, } - ''' + """ # trim first 4 spaces at the beginning of each line - code = '\n'.join([line[4:] for line in code.split('\n')]) + code = "\n".join([line[4:] for line in code.split("\n")]) node = CodeNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", user_from=UserFrom.ACCOUNT, invoke_from=InvokeFrom.WEB_APP, config={ - 'id': '1', - 'data': { + "id": "1", + "data": { "outputs": { "result": { "type": "string", }, }, - 'title': '123', - 'variables': [ + "title": "123", + "variables": [ { - 'variable': 'args1', - 'value_selector': ['1', '123', 'args1'], + "variable": "args1", + "value_selector": ["1", "123", "args1"], }, - { - 'variable': 'args2', - 'value_selector': ['1', '123', 'args2'] - } + {"variable": "args2", "value_selector": ["1", "123", "args2"]}, ], - 'answer': '123', - 'code_language': 'python3', - 'code': code - } - } + "answer": "123", + "code_language": "python3", + "code": code, + }, + }, ) # construct variable pool pool = VariablePool(system_variables={}, user_inputs={}, environment_variables=[]) - pool.add(['1', '123', 'args1'], 1) - pool.add(['1', '123', 'args2'], 2) - + pool.add(["1", "123", "args1"], 1) + pool.add(["1", "123", "args2"], 2) + # execute node result = node.run(pool) assert result.status == WorkflowNodeExecutionStatus.FAILED - assert result.error == 'Output variable `result` must be a string' + assert result.error == "Output variable `result` must be a string" + def test_execute_code_output_validator_depth(): - code = ''' + code = """ def main(args1: int, args2: int) -> dict: return { "result": { "result": args1 + args2, } } - ''' + """ # trim first 4 spaces at the beginning of each line - code = '\n'.join([line[4:] for line in code.split('\n')]) + code = "\n".join([line[4:] for line in code.split("\n")]) node = CodeNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", user_from=UserFrom.ACCOUNT, invoke_from=InvokeFrom.WEB_APP, config={ - 'id': '1', - 'data': { + "id": "1", + "data": { "outputs": { "string_validator": { "type": "string", @@ -168,29 +165,26 @@ def test_execute_code_output_validator_depth(): "depth": { "type": "number", } - } + }, } - } - } - } + }, + }, + }, }, }, - 'title': '123', - 'variables': [ + "title": "123", + "variables": [ { - 'variable': 'args1', - 'value_selector': ['1', '123', 'args1'], + "variable": "args1", + "value_selector": ["1", "123", "args1"], }, - { - 'variable': 'args2', - 'value_selector': ['1', '123', 'args2'] - } + {"variable": "args2", "value_selector": ["1", "123", "args2"]}, ], - 'answer': '123', - 'code_language': 'python3', - 'code': code - } - } + "answer": "123", + "code_language": "python3", + "code": code, + }, + }, ) # construct result @@ -199,14 +193,7 @@ def test_execute_code_output_validator_depth(): "string_validator": "1", "number_array_validator": [1, 2, 3, 3.333], "string_array_validator": ["1", "2", "3"], - "object_validator": { - "result": 1, - "depth": { - "depth": { - "depth": 1 - } - } - } + "object_validator": {"result": 1, "depth": {"depth": {"depth": 1}}}, } # validate @@ -218,14 +205,7 @@ def test_execute_code_output_validator_depth(): "string_validator": 1, "number_array_validator": ["1", "2", "3", "3.333"], "string_array_validator": [1, 2, 3], - "object_validator": { - "result": "1", - "depth": { - "depth": { - "depth": "1" - } - } - } + "object_validator": {"result": "1", "depth": {"depth": {"depth": "1"}}}, } # validate @@ -238,34 +218,20 @@ def test_execute_code_output_validator_depth(): "string_validator": (CODE_MAX_STRING_LENGTH + 1) * "1", "number_array_validator": [1, 2, 3, 3.333], "string_array_validator": ["1", "2", "3"], - "object_validator": { - "result": 1, - "depth": { - "depth": { - "depth": 1 - } - } - } + "object_validator": {"result": 1, "depth": {"depth": {"depth": 1}}}, } # validate with pytest.raises(ValueError): node._transform_result(result, node.node_data.outputs) - + # construct result result = { "number_validator": 1, "string_validator": "1", "number_array_validator": [1, 2, 3, 3.333] * 2000, "string_array_validator": ["1", "2", "3"], - "object_validator": { - "result": 1, - "depth": { - "depth": { - "depth": 1 - } - } - } + "object_validator": {"result": 1, "depth": {"depth": {"depth": 1}}}, } # validate @@ -274,58 +240,59 @@ def test_execute_code_output_validator_depth(): def test_execute_code_output_object_list(): - code = ''' + code = """ def main(args1: int, args2: int) -> dict: return { "result": { "result": args1 + args2, } } - ''' + """ # trim first 4 spaces at the beginning of each line - code = '\n'.join([line[4:] for line in code.split('\n')]) + code = "\n".join([line[4:] for line in code.split("\n")]) node = CodeNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", invoke_from=InvokeFrom.WEB_APP, user_from=UserFrom.ACCOUNT, config={ - 'id': '1', - 'data': { + "id": "1", + "data": { "outputs": { "object_list": { "type": "array[object]", }, }, - 'title': '123', - 'variables': [ + "title": "123", + "variables": [ { - 'variable': 'args1', - 'value_selector': ['1', '123', 'args1'], + "variable": "args1", + "value_selector": ["1", "123", "args1"], }, - { - 'variable': 'args2', - 'value_selector': ['1', '123', 'args2'] - } + {"variable": "args2", "value_selector": ["1", "123", "args2"]}, ], - 'answer': '123', - 'code_language': 'python3', - 'code': code - } - } + "answer": "123", + "code_language": "python3", + "code": code, + }, + }, ) # construct result result = { - "object_list": [{ - "result": 1, - }, { - "result": 2, - }, { - "result": [1, 2, 3], - }] + "object_list": [ + { + "result": 1, + }, + { + "result": 2, + }, + { + "result": [1, 2, 3], + }, + ] } # validate @@ -333,13 +300,18 @@ def test_execute_code_output_object_list(): # construct result result = { - "object_list": [{ - "result": 1, - }, { - "result": 2, - }, { - "result": [1, 2, 3], - }, 1] + "object_list": [ + { + "result": 1, + }, + { + "result": 2, + }, + { + "result": [1, 2, 3], + }, + 1, + ] } # validate diff --git a/api/tests/integration_tests/workflow/nodes/test_http.py b/api/tests/integration_tests/workflow/nodes/test_http.py index a1354bd6a5..acb616b325 100644 --- a/api/tests/integration_tests/workflow/nodes/test_http.py +++ b/api/tests/integration_tests/workflow/nodes/test_http.py @@ -9,322 +9,337 @@ from core.workflow.nodes.http_request.http_request_node import HttpRequestNode from tests.integration_tests.workflow.nodes.__mock.http import setup_http_mock BASIC_NODE_DATA = { - 'tenant_id': '1', - 'app_id': '1', - 'workflow_id': '1', - 'user_id': '1', - 'user_from': UserFrom.ACCOUNT, - 'invoke_from': InvokeFrom.WEB_APP, + "tenant_id": "1", + "app_id": "1", + "workflow_id": "1", + "user_id": "1", + "user_from": UserFrom.ACCOUNT, + "invoke_from": InvokeFrom.WEB_APP, } # construct variable pool pool = VariablePool(system_variables={}, user_inputs={}, environment_variables=[]) -pool.add(['a', 'b123', 'args1'], 1) -pool.add(['a', 'b123', 'args2'], 2) +pool.add(["a", "b123", "args1"], 1) +pool.add(["a", "b123", "args2"], 2) -@pytest.mark.parametrize('setup_http_mock', [['none']], indirect=True) +@pytest.mark.parametrize("setup_http_mock", [["none"]], indirect=True) def test_get(setup_http_mock): - node = HttpRequestNode(config={ - 'id': '1', - 'data': { - 'title': 'http', - 'desc': '', - 'method': 'get', - 'url': 'http://example.com', - 'authorization': { - 'type': 'api-key', - 'config': { - 'type': 'basic', - 'api_key': 'ak-xxx', - 'header': 'api-key', - } - }, - 'headers': 'X-Header:123', - 'params': 'A:b', - 'body': None, - } - }, **BASIC_NODE_DATA) - - result = node.run(pool) - - data = result.process_data.get('request', '') - - assert '?A=b' in data - assert 'X-Header: 123' in data - - -@pytest.mark.parametrize('setup_http_mock', [['none']], indirect=True) -def test_no_auth(setup_http_mock): - node = HttpRequestNode(config={ - 'id': '1', - 'data': { - 'title': 'http', - 'desc': '', - 'method': 'get', - 'url': 'http://example.com', - 'authorization': { - 'type': 'no-auth', - 'config': None, - }, - 'headers': 'X-Header:123', - 'params': 'A:b', - 'body': None, - } - }, **BASIC_NODE_DATA) - - result = node.run(pool) - - data = result.process_data.get('request', '') - - assert '?A=b' in data - assert 'X-Header: 123' in data - - -@pytest.mark.parametrize('setup_http_mock', [['none']], indirect=True) -def test_custom_authorization_header(setup_http_mock): - node = HttpRequestNode(config={ - 'id': '1', - 'data': { - 'title': 'http', - 'desc': '', - 'method': 'get', - 'url': 'http://example.com', - 'authorization': { - 'type': 'api-key', - 'config': { - 'type': 'custom', - 'api_key': 'Auth', - 'header': 'X-Auth', + node = HttpRequestNode( + config={ + "id": "1", + "data": { + "title": "http", + "desc": "", + "method": "get", + "url": "http://example.com", + "authorization": { + "type": "api-key", + "config": { + "type": "basic", + "api_key": "ak-xxx", + "header": "api-key", + }, }, + "headers": "X-Header:123", + "params": "A:b", + "body": None, }, - 'headers': 'X-Header:123', - 'params': 'A:b', - 'body': None, - } - }, **BASIC_NODE_DATA) + }, + **BASIC_NODE_DATA, + ) result = node.run(pool) - data = result.process_data.get('request', '') + data = result.process_data.get("request", "") - assert '?A=b' in data - assert 'X-Header: 123' in data + assert "?A=b" in data + assert "X-Header: 123" in data -@pytest.mark.parametrize('setup_http_mock', [['none']], indirect=True) +@pytest.mark.parametrize("setup_http_mock", [["none"]], indirect=True) +def test_no_auth(setup_http_mock): + node = HttpRequestNode( + config={ + "id": "1", + "data": { + "title": "http", + "desc": "", + "method": "get", + "url": "http://example.com", + "authorization": { + "type": "no-auth", + "config": None, + }, + "headers": "X-Header:123", + "params": "A:b", + "body": None, + }, + }, + **BASIC_NODE_DATA, + ) + + result = node.run(pool) + + data = result.process_data.get("request", "") + + assert "?A=b" in data + assert "X-Header: 123" in data + + +@pytest.mark.parametrize("setup_http_mock", [["none"]], indirect=True) +def test_custom_authorization_header(setup_http_mock): + node = HttpRequestNode( + config={ + "id": "1", + "data": { + "title": "http", + "desc": "", + "method": "get", + "url": "http://example.com", + "authorization": { + "type": "api-key", + "config": { + "type": "custom", + "api_key": "Auth", + "header": "X-Auth", + }, + }, + "headers": "X-Header:123", + "params": "A:b", + "body": None, + }, + }, + **BASIC_NODE_DATA, + ) + + result = node.run(pool) + + data = result.process_data.get("request", "") + + assert "?A=b" in data + assert "X-Header: 123" in data + + +@pytest.mark.parametrize("setup_http_mock", [["none"]], indirect=True) def test_template(setup_http_mock): - node = HttpRequestNode(config={ - 'id': '1', - 'data': { - 'title': 'http', - 'desc': '', - 'method': 'get', - 'url': 'http://example.com/{{#a.b123.args2#}}', - 'authorization': { - 'type': 'api-key', - 'config': { - 'type': 'basic', - 'api_key': 'ak-xxx', - 'header': 'api-key', - } + node = HttpRequestNode( + config={ + "id": "1", + "data": { + "title": "http", + "desc": "", + "method": "get", + "url": "http://example.com/{{#a.b123.args2#}}", + "authorization": { + "type": "api-key", + "config": { + "type": "basic", + "api_key": "ak-xxx", + "header": "api-key", + }, + }, + "headers": "X-Header:123\nX-Header2:{{#a.b123.args2#}}", + "params": "A:b\nTemplate:{{#a.b123.args2#}}", + "body": None, }, - 'headers': 'X-Header:123\nX-Header2:{{#a.b123.args2#}}', - 'params': 'A:b\nTemplate:{{#a.b123.args2#}}', - 'body': None, - } - }, **BASIC_NODE_DATA) + }, + **BASIC_NODE_DATA, + ) result = node.run(pool) - data = result.process_data.get('request', '') + data = result.process_data.get("request", "") - assert '?A=b' in data - assert 'Template=2' in data - assert 'X-Header: 123' in data - assert 'X-Header2: 2' in data + assert "?A=b" in data + assert "Template=2" in data + assert "X-Header: 123" in data + assert "X-Header2: 2" in data -@pytest.mark.parametrize('setup_http_mock', [['none']], indirect=True) +@pytest.mark.parametrize("setup_http_mock", [["none"]], indirect=True) def test_json(setup_http_mock): - node = HttpRequestNode(config={ - 'id': '1', - 'data': { - 'title': 'http', - 'desc': '', - 'method': 'post', - 'url': 'http://example.com', - 'authorization': { - 'type': 'api-key', - 'config': { - 'type': 'basic', - 'api_key': 'ak-xxx', - 'header': 'api-key', - } + node = HttpRequestNode( + config={ + "id": "1", + "data": { + "title": "http", + "desc": "", + "method": "post", + "url": "http://example.com", + "authorization": { + "type": "api-key", + "config": { + "type": "basic", + "api_key": "ak-xxx", + "header": "api-key", + }, + }, + "headers": "X-Header:123", + "params": "A:b", + "body": {"type": "json", "data": '{"a": "{{#a.b123.args1#}}"}'}, }, - 'headers': 'X-Header:123', - 'params': 'A:b', - 'body': { - 'type': 'json', - 'data': '{"a": "{{#a.b123.args1#}}"}' - }, - } - }, **BASIC_NODE_DATA) + }, + **BASIC_NODE_DATA, + ) result = node.run(pool) - data = result.process_data.get('request', '') + data = result.process_data.get("request", "") assert '{"a": "1"}' in data - assert 'X-Header: 123' in data + assert "X-Header: 123" in data def test_x_www_form_urlencoded(setup_http_mock): - node = HttpRequestNode(config={ - 'id': '1', - 'data': { - 'title': 'http', - 'desc': '', - 'method': 'post', - 'url': 'http://example.com', - 'authorization': { - 'type': 'api-key', - 'config': { - 'type': 'basic', - 'api_key': 'ak-xxx', - 'header': 'api-key', - } + node = HttpRequestNode( + config={ + "id": "1", + "data": { + "title": "http", + "desc": "", + "method": "post", + "url": "http://example.com", + "authorization": { + "type": "api-key", + "config": { + "type": "basic", + "api_key": "ak-xxx", + "header": "api-key", + }, + }, + "headers": "X-Header:123", + "params": "A:b", + "body": {"type": "x-www-form-urlencoded", "data": "a:{{#a.b123.args1#}}\nb:{{#a.b123.args2#}}"}, }, - 'headers': 'X-Header:123', - 'params': 'A:b', - 'body': { - 'type': 'x-www-form-urlencoded', - 'data': 'a:{{#a.b123.args1#}}\nb:{{#a.b123.args2#}}' - }, - } - }, **BASIC_NODE_DATA) + }, + **BASIC_NODE_DATA, + ) result = node.run(pool) - data = result.process_data.get('request', '') + data = result.process_data.get("request", "") - assert 'a=1&b=2' in data - assert 'X-Header: 123' in data + assert "a=1&b=2" in data + assert "X-Header: 123" in data def test_form_data(setup_http_mock): - node = HttpRequestNode(config={ - 'id': '1', - 'data': { - 'title': 'http', - 'desc': '', - 'method': 'post', - 'url': 'http://example.com', - 'authorization': { - 'type': 'api-key', - 'config': { - 'type': 'basic', - 'api_key': 'ak-xxx', - 'header': 'api-key', - } + node = HttpRequestNode( + config={ + "id": "1", + "data": { + "title": "http", + "desc": "", + "method": "post", + "url": "http://example.com", + "authorization": { + "type": "api-key", + "config": { + "type": "basic", + "api_key": "ak-xxx", + "header": "api-key", + }, + }, + "headers": "X-Header:123", + "params": "A:b", + "body": {"type": "form-data", "data": "a:{{#a.b123.args1#}}\nb:{{#a.b123.args2#}}"}, }, - 'headers': 'X-Header:123', - 'params': 'A:b', - 'body': { - 'type': 'form-data', - 'data': 'a:{{#a.b123.args1#}}\nb:{{#a.b123.args2#}}' - }, - } - }, **BASIC_NODE_DATA) + }, + **BASIC_NODE_DATA, + ) result = node.run(pool) - data = result.process_data.get('request', '') + data = result.process_data.get("request", "") assert 'form-data; name="a"' in data - assert '1' in data + assert "1" in data assert 'form-data; name="b"' in data - assert '2' in data - assert 'X-Header: 123' in data + assert "2" in data + assert "X-Header: 123" in data def test_none_data(setup_http_mock): - node = HttpRequestNode(config={ - 'id': '1', - 'data': { - 'title': 'http', - 'desc': '', - 'method': 'post', - 'url': 'http://example.com', - 'authorization': { - 'type': 'api-key', - 'config': { - 'type': 'basic', - 'api_key': 'ak-xxx', - 'header': 'api-key', - } + node = HttpRequestNode( + config={ + "id": "1", + "data": { + "title": "http", + "desc": "", + "method": "post", + "url": "http://example.com", + "authorization": { + "type": "api-key", + "config": { + "type": "basic", + "api_key": "ak-xxx", + "header": "api-key", + }, + }, + "headers": "X-Header:123", + "params": "A:b", + "body": {"type": "none", "data": "123123123"}, }, - 'headers': 'X-Header:123', - 'params': 'A:b', - 'body': { - 'type': 'none', - 'data': '123123123' - }, - } - }, **BASIC_NODE_DATA) + }, + **BASIC_NODE_DATA, + ) result = node.run(pool) - data = result.process_data.get('request', '') + data = result.process_data.get("request", "") - assert 'X-Header: 123' in data - assert '123123123' not in data + assert "X-Header: 123" in data + assert "123123123" not in data def test_mock_404(setup_http_mock): - node = HttpRequestNode(config={ - 'id': '1', - 'data': { - 'title': 'http', - 'desc': '', - 'method': 'get', - 'url': 'http://404.com', - 'authorization': { - 'type': 'no-auth', - 'config': None, + node = HttpRequestNode( + config={ + "id": "1", + "data": { + "title": "http", + "desc": "", + "method": "get", + "url": "http://404.com", + "authorization": { + "type": "no-auth", + "config": None, + }, + "body": None, + "params": "", + "headers": "X-Header:123", }, - 'body': None, - 'params': '', - 'headers': 'X-Header:123', - } - }, **BASIC_NODE_DATA) + }, + **BASIC_NODE_DATA, + ) result = node.run(pool) resp = result.outputs - assert 404 == resp.get('status_code') - assert 'Not Found' in resp.get('body') + assert 404 == resp.get("status_code") + assert "Not Found" in resp.get("body") def test_multi_colons_parse(setup_http_mock): - node = HttpRequestNode(config={ - 'id': '1', - 'data': { - 'title': 'http', - 'desc': '', - 'method': 'get', - 'url': 'http://example.com', - 'authorization': { - 'type': 'no-auth', - 'config': None, + node = HttpRequestNode( + config={ + "id": "1", + "data": { + "title": "http", + "desc": "", + "method": "get", + "url": "http://example.com", + "authorization": { + "type": "no-auth", + "config": None, + }, + "params": "Referer:http://example1.com\nRedirect:http://example2.com", + "headers": "Referer:http://example3.com\nRedirect:http://example4.com", + "body": {"type": "form-data", "data": "Referer:http://example5.com\nRedirect:http://example6.com"}, }, - 'params': 'Referer:http://example1.com\nRedirect:http://example2.com', - 'headers': 'Referer:http://example3.com\nRedirect:http://example4.com', - 'body': { - 'type': 'form-data', - 'data': 'Referer:http://example5.com\nRedirect:http://example6.com' - }, - } - }, **BASIC_NODE_DATA) + }, + **BASIC_NODE_DATA, + ) result = node.run(pool) resp = result.outputs - assert urlencode({'Redirect': 'http://example2.com'}) in result.process_data.get('request') - assert 'form-data; name="Redirect"\n\nhttp://example6.com' in result.process_data.get('request') - assert 'http://example3.com' == resp.get('headers').get('referer') + assert urlencode({"Redirect": "http://example2.com"}) in result.process_data.get("request") + assert 'form-data; name="Redirect"\n\nhttp://example6.com' in result.process_data.get("request") + assert "http://example3.com" == resp.get("headers").get("referer") diff --git a/api/tests/integration_tests/workflow/nodes/test_llm.py b/api/tests/integration_tests/workflow/nodes/test_llm.py index 1b27af5af7..6bab83a019 100644 --- a/api/tests/integration_tests/workflow/nodes/test_llm.py +++ b/api/tests/integration_tests/workflow/nodes/test_llm.py @@ -23,90 +23,71 @@ from tests.integration_tests.model_runtime.__mock.openai import setup_openai_moc from tests.integration_tests.workflow.nodes.__mock.code_executor import setup_code_executor_mock -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_execute_llm(setup_openai_mock): node = LLMNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", invoke_from=InvokeFrom.WEB_APP, user_from=UserFrom.ACCOUNT, config={ - 'id': 'llm', - 'data': { - 'title': '123', - 'type': 'llm', - 'model': { - 'provider': 'openai', - 'name': 'gpt-3.5-turbo', - 'mode': 'chat', - 'completion_params': {} - }, - 'prompt_template': [ - { - 'role': 'system', - 'text': 'you are a helpful assistant.\ntoday\'s weather is {{#abc.output#}}.' - }, - { - 'role': 'user', - 'text': '{{#sys.query#}}' - } + "id": "llm", + "data": { + "title": "123", + "type": "llm", + "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}}, + "prompt_template": [ + {"role": "system", "text": "you are a helpful assistant.\ntoday's weather is {{#abc.output#}}."}, + {"role": "user", "text": "{{#sys.query#}}"}, ], - 'memory': None, - 'context': { - 'enabled': False - }, - 'vision': { - 'enabled': False - } - } - } + "memory": None, + "context": {"enabled": False}, + "vision": {"enabled": False}, + }, + }, ) # construct variable pool - pool = VariablePool(system_variables={ - SystemVariableKey.QUERY: 'what\'s the weather today?', - SystemVariableKey.FILES: [], - SystemVariableKey.CONVERSATION_ID: 'abababa', - SystemVariableKey.USER_ID: 'aaa' - }, user_inputs={}, environment_variables=[]) - pool.add(['abc', 'output'], 'sunny') + pool = VariablePool( + system_variables={ + SystemVariableKey.QUERY: "what's the weather today?", + SystemVariableKey.FILES: [], + SystemVariableKey.CONVERSATION_ID: "abababa", + SystemVariableKey.USER_ID: "aaa", + }, + user_inputs={}, + environment_variables=[], + ) + pool.add(["abc", "output"], "sunny") - credentials = { - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - } + credentials = {"openai_api_key": os.environ.get("OPENAI_API_KEY")} - provider_instance = ModelProviderFactory().get_provider_instance('openai') + provider_instance = ModelProviderFactory().get_provider_instance("openai") model_type_instance = provider_instance.get_model_instance(ModelType.LLM) provider_model_bundle = ProviderModelBundle( configuration=ProviderConfiguration( - tenant_id='1', + tenant_id="1", provider=provider_instance.get_provider_schema(), preferred_provider_type=ProviderType.CUSTOM, using_provider_type=ProviderType.CUSTOM, - system_configuration=SystemConfiguration( - enabled=False - ), - custom_configuration=CustomConfiguration( - provider=CustomProviderConfiguration( - credentials=credentials - ) - ), - model_settings=[] + system_configuration=SystemConfiguration(enabled=False), + custom_configuration=CustomConfiguration(provider=CustomProviderConfiguration(credentials=credentials)), + model_settings=[], ), provider_instance=provider_instance, - model_type_instance=model_type_instance + model_type_instance=model_type_instance, ) - model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model='gpt-3.5-turbo') + model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model="gpt-3.5-turbo") model_config = ModelConfigWithCredentialsEntity( - model='gpt-3.5-turbo', - provider='openai', - mode='chat', + model="gpt-3.5-turbo", + provider="openai", + mode="chat", credentials=credentials, parameters={}, - model_schema=model_type_instance.get_model_schema('gpt-3.5-turbo'), - provider_model_bundle=provider_model_bundle + model_schema=model_type_instance.get_model_schema("gpt-3.5-turbo"), + provider_model_bundle=provider_model_bundle, ) # Mock db.session.close() @@ -118,112 +99,97 @@ def test_execute_llm(setup_openai_mock): result = node.run(pool) assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert result.outputs['text'] is not None - assert result.outputs['usage']['total_tokens'] > 0 + assert result.outputs["text"] is not None + assert result.outputs["usage"]["total_tokens"] > 0 -@pytest.mark.parametrize('setup_code_executor_mock', [['none']], indirect=True) -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True) +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_execute_llm_with_jinja2(setup_code_executor_mock, setup_openai_mock): """ Test execute LLM node with jinja2 """ node = LLMNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", invoke_from=InvokeFrom.WEB_APP, user_from=UserFrom.ACCOUNT, config={ - 'id': 'llm', - 'data': { - 'title': '123', - 'type': 'llm', - 'model': { - 'provider': 'openai', - 'name': 'gpt-3.5-turbo', - 'mode': 'chat', - 'completion_params': {} + "id": "llm", + "data": { + "title": "123", + "type": "llm", + "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}}, + "prompt_config": { + "jinja2_variables": [ + {"variable": "sys_query", "value_selector": ["sys", "query"]}, + {"variable": "output", "value_selector": ["abc", "output"]}, + ] }, - 'prompt_config': { - 'jinja2_variables': [{ - 'variable': 'sys_query', - 'value_selector': ['sys', 'query'] - }, { - 'variable': 'output', - 'value_selector': ['abc', 'output'] - }] - }, - 'prompt_template': [ + "prompt_template": [ { - 'role': 'system', - 'text': 'you are a helpful assistant.\ntoday\'s weather is {{#abc.output#}}', - 'jinja2_text': 'you are a helpful assistant.\ntoday\'s weather is {{output}}.', - 'edition_type': 'jinja2' + "role": "system", + "text": "you are a helpful assistant.\ntoday's weather is {{#abc.output#}}", + "jinja2_text": "you are a helpful assistant.\ntoday's weather is {{output}}.", + "edition_type": "jinja2", }, { - 'role': 'user', - 'text': '{{#sys.query#}}', - 'jinja2_text': '{{sys_query}}', - 'edition_type': 'basic' - } + "role": "user", + "text": "{{#sys.query#}}", + "jinja2_text": "{{sys_query}}", + "edition_type": "basic", + }, ], - 'memory': None, - 'context': { - 'enabled': False - }, - 'vision': { - 'enabled': False - } - } - } + "memory": None, + "context": {"enabled": False}, + "vision": {"enabled": False}, + }, + }, ) # construct variable pool - pool = VariablePool(system_variables={ - SystemVariableKey.QUERY: 'what\'s the weather today?', - SystemVariableKey.FILES: [], - SystemVariableKey.CONVERSATION_ID: 'abababa', - SystemVariableKey.USER_ID: 'aaa' - }, user_inputs={}, environment_variables=[]) - pool.add(['abc', 'output'], 'sunny') + pool = VariablePool( + system_variables={ + SystemVariableKey.QUERY: "what's the weather today?", + SystemVariableKey.FILES: [], + SystemVariableKey.CONVERSATION_ID: "abababa", + SystemVariableKey.USER_ID: "aaa", + }, + user_inputs={}, + environment_variables=[], + ) + pool.add(["abc", "output"], "sunny") - credentials = { - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - } + credentials = {"openai_api_key": os.environ.get("OPENAI_API_KEY")} - provider_instance = ModelProviderFactory().get_provider_instance('openai') + provider_instance = ModelProviderFactory().get_provider_instance("openai") model_type_instance = provider_instance.get_model_instance(ModelType.LLM) provider_model_bundle = ProviderModelBundle( configuration=ProviderConfiguration( - tenant_id='1', + tenant_id="1", provider=provider_instance.get_provider_schema(), preferred_provider_type=ProviderType.CUSTOM, using_provider_type=ProviderType.CUSTOM, - system_configuration=SystemConfiguration( - enabled=False - ), - custom_configuration=CustomConfiguration( - provider=CustomProviderConfiguration( - credentials=credentials - ) - ), - model_settings=[] + system_configuration=SystemConfiguration(enabled=False), + custom_configuration=CustomConfiguration(provider=CustomProviderConfiguration(credentials=credentials)), + model_settings=[], ), provider_instance=provider_instance, model_type_instance=model_type_instance, ) - model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model='gpt-3.5-turbo') + model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model="gpt-3.5-turbo") model_config = ModelConfigWithCredentialsEntity( - model='gpt-3.5-turbo', - provider='openai', - mode='chat', + model="gpt-3.5-turbo", + provider="openai", + mode="chat", credentials=credentials, parameters={}, - model_schema=model_type_instance.get_model_schema('gpt-3.5-turbo'), - provider_model_bundle=provider_model_bundle + model_schema=model_type_instance.get_model_schema("gpt-3.5-turbo"), + provider_model_bundle=provider_model_bundle, ) # Mock db.session.close() @@ -235,5 +201,5 @@ def test_execute_llm_with_jinja2(setup_code_executor_mock, setup_openai_mock): result = node.run(pool) assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert 'sunny' in json.dumps(result.process_data) - assert 'what\'s the weather today?' in json.dumps(result.process_data) + assert "sunny" in json.dumps(result.process_data) + assert "what's the weather today?" in json.dumps(result.process_data) diff --git a/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py b/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py index e32fa59df3..ca2bae5c53 100644 --- a/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py +++ b/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py @@ -26,29 +26,25 @@ from tests.integration_tests.model_runtime.__mock.openai import setup_openai_moc def get_mocked_fetch_model_config( - provider: str, model: str, mode: str, + provider: str, + model: str, + mode: str, credentials: dict, ): provider_instance = ModelProviderFactory().get_provider_instance(provider) model_type_instance = provider_instance.get_model_instance(ModelType.LLM) provider_model_bundle = ProviderModelBundle( configuration=ProviderConfiguration( - tenant_id='1', + tenant_id="1", provider=provider_instance.get_provider_schema(), preferred_provider_type=ProviderType.CUSTOM, using_provider_type=ProviderType.CUSTOM, - system_configuration=SystemConfiguration( - enabled=False - ), - custom_configuration=CustomConfiguration( - provider=CustomProviderConfiguration( - credentials=credentials - ) - ), - model_settings=[] + system_configuration=SystemConfiguration(enabled=False), + custom_configuration=CustomConfiguration(provider=CustomProviderConfiguration(credentials=credentials)), + model_settings=[], ), provider_instance=provider_instance, - model_type_instance=model_type_instance + model_type_instance=model_type_instance, ) model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model=model) model_config = ModelConfigWithCredentialsEntity( @@ -58,268 +54,268 @@ def get_mocked_fetch_model_config( credentials=credentials, parameters={}, model_schema=model_type_instance.get_model_schema(model), - provider_model_bundle=provider_model_bundle + provider_model_bundle=provider_model_bundle, ) return MagicMock(return_value=(model_instance, model_config)) + def get_mocked_fetch_memory(memory_text: str): class MemoryMock: - def get_history_prompt_text(self, human_prefix: str = "Human", - ai_prefix: str = "Assistant", - max_token_limit: int = 2000, - message_limit: Optional[int] = None): + def get_history_prompt_text( + self, + human_prefix: str = "Human", + ai_prefix: str = "Assistant", + max_token_limit: int = 2000, + message_limit: Optional[int] = None, + ): return memory_text return MagicMock(return_value=MemoryMock()) -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_function_calling_parameter_extractor(setup_openai_mock): """ Test function calling for parameter extractor. """ node = ParameterExtractorNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", invoke_from=InvokeFrom.WEB_APP, user_from=UserFrom.ACCOUNT, config={ - 'id': 'llm', - 'data': { - 'title': '123', - 'type': 'parameter-extractor', - 'model': { - 'provider': 'openai', - 'name': 'gpt-3.5-turbo', - 'mode': 'chat', - 'completion_params': {} - }, - 'query': ['sys', 'query'], - 'parameters': [{ - 'name': 'location', - 'type': 'string', - 'description': 'location', - 'required': True - }], - 'instruction': '', - 'reasoning_mode': 'function_call', - 'memory': None, - } - } + "id": "llm", + "data": { + "title": "123", + "type": "parameter-extractor", + "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}}, + "query": ["sys", "query"], + "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}], + "instruction": "", + "reasoning_mode": "function_call", + "memory": None, + }, + }, ) node._fetch_model_config = get_mocked_fetch_model_config( - provider='openai', model='gpt-3.5-turbo', mode='chat', credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - } + provider="openai", + model="gpt-3.5-turbo", + mode="chat", + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, ) db.session.close = MagicMock() # construct variable pool - pool = VariablePool(system_variables={ - SystemVariableKey.QUERY: 'what\'s the weather in SF', - SystemVariableKey.FILES: [], - SystemVariableKey.CONVERSATION_ID: 'abababa', - SystemVariableKey.USER_ID: 'aaa' - }, user_inputs={}, environment_variables=[]) + pool = VariablePool( + system_variables={ + SystemVariableKey.QUERY: "what's the weather in SF", + SystemVariableKey.FILES: [], + SystemVariableKey.CONVERSATION_ID: "abababa", + SystemVariableKey.USER_ID: "aaa", + }, + user_inputs={}, + environment_variables=[], + ) result = node.run(pool) assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert result.outputs.get('location') == 'kawaii' - assert result.outputs.get('__reason') == None + assert result.outputs.get("location") == "kawaii" + assert result.outputs.get("__reason") == None -@pytest.mark.parametrize('setup_openai_mock', [['chat']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) def test_instructions(setup_openai_mock): """ Test chat parameter extractor. """ node = ParameterExtractorNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", invoke_from=InvokeFrom.WEB_APP, user_from=UserFrom.ACCOUNT, config={ - 'id': 'llm', - 'data': { - 'title': '123', - 'type': 'parameter-extractor', - 'model': { - 'provider': 'openai', - 'name': 'gpt-3.5-turbo', - 'mode': 'chat', - 'completion_params': {} - }, - 'query': ['sys', 'query'], - 'parameters': [{ - 'name': 'location', - 'type': 'string', - 'description': 'location', - 'required': True - }], - 'reasoning_mode': 'function_call', - 'instruction': '{{#sys.query#}}', - 'memory': None, - } - } + "id": "llm", + "data": { + "title": "123", + "type": "parameter-extractor", + "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}}, + "query": ["sys", "query"], + "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}], + "reasoning_mode": "function_call", + "instruction": "{{#sys.query#}}", + "memory": None, + }, + }, ) node._fetch_model_config = get_mocked_fetch_model_config( - provider='openai', model='gpt-3.5-turbo', mode='chat', credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - } + provider="openai", + model="gpt-3.5-turbo", + mode="chat", + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, ) db.session.close = MagicMock() # construct variable pool - pool = VariablePool(system_variables={ - SystemVariableKey.QUERY: 'what\'s the weather in SF', - SystemVariableKey.FILES: [], - SystemVariableKey.CONVERSATION_ID: 'abababa', - SystemVariableKey.USER_ID: 'aaa' - }, user_inputs={}, environment_variables=[]) + pool = VariablePool( + system_variables={ + SystemVariableKey.QUERY: "what's the weather in SF", + SystemVariableKey.FILES: [], + SystemVariableKey.CONVERSATION_ID: "abababa", + SystemVariableKey.USER_ID: "aaa", + }, + user_inputs={}, + environment_variables=[], + ) result = node.run(pool) assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert result.outputs.get('location') == 'kawaii' - assert result.outputs.get('__reason') == None + assert result.outputs.get("location") == "kawaii" + assert result.outputs.get("__reason") == None process_data = result.process_data - process_data.get('prompts') + process_data.get("prompts") - for prompt in process_data.get('prompts'): - if prompt.get('role') == 'system': - assert 'what\'s the weather in SF' in prompt.get('text') + for prompt in process_data.get("prompts"): + if prompt.get("role") == "system": + assert "what's the weather in SF" in prompt.get("text") -@pytest.mark.parametrize('setup_anthropic_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True) def test_chat_parameter_extractor(setup_anthropic_mock): """ Test chat parameter extractor. """ node = ParameterExtractorNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", invoke_from=InvokeFrom.WEB_APP, user_from=UserFrom.ACCOUNT, config={ - 'id': 'llm', - 'data': { - 'title': '123', - 'type': 'parameter-extractor', - 'model': { - 'provider': 'anthropic', - 'name': 'claude-2', - 'mode': 'chat', - 'completion_params': {} - }, - 'query': ['sys', 'query'], - 'parameters': [{ - 'name': 'location', - 'type': 'string', - 'description': 'location', - 'required': True - }], - 'reasoning_mode': 'prompt', - 'instruction': '', - 'memory': None, - } - } + "id": "llm", + "data": { + "title": "123", + "type": "parameter-extractor", + "model": {"provider": "anthropic", "name": "claude-2", "mode": "chat", "completion_params": {}}, + "query": ["sys", "query"], + "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}], + "reasoning_mode": "prompt", + "instruction": "", + "memory": None, + }, + }, ) node._fetch_model_config = get_mocked_fetch_model_config( - provider='anthropic', model='claude-2', mode='chat', credentials={ - 'anthropic_api_key': os.environ.get('ANTHROPIC_API_KEY') - } + provider="anthropic", + model="claude-2", + mode="chat", + credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")}, ) db.session.close = MagicMock() # construct variable pool - pool = VariablePool(system_variables={ - SystemVariableKey.QUERY: 'what\'s the weather in SF', - SystemVariableKey.FILES: [], - SystemVariableKey.CONVERSATION_ID: 'abababa', - SystemVariableKey.USER_ID: 'aaa' - }, user_inputs={}, environment_variables=[]) + pool = VariablePool( + system_variables={ + SystemVariableKey.QUERY: "what's the weather in SF", + SystemVariableKey.FILES: [], + SystemVariableKey.CONVERSATION_ID: "abababa", + SystemVariableKey.USER_ID: "aaa", + }, + user_inputs={}, + environment_variables=[], + ) result = node.run(pool) assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert result.outputs.get('location') == '' - assert result.outputs.get('__reason') == 'Failed to extract result from function call or text response, using empty result.' - prompts = result.process_data.get('prompts') + assert result.outputs.get("location") == "" + assert ( + result.outputs.get("__reason") + == "Failed to extract result from function call or text response, using empty result." + ) + prompts = result.process_data.get("prompts") for prompt in prompts: - if prompt.get('role') == 'user': - if '' in prompt.get('text'): - assert '\n{"type": "object"' in prompt.get('text') + if prompt.get("role") == "user": + if "" in prompt.get("text"): + assert '\n{"type": "object"' in prompt.get("text") -@pytest.mark.parametrize('setup_openai_mock', [['completion']], indirect=True) + +@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True) def test_completion_parameter_extractor(setup_openai_mock): """ Test completion parameter extractor. """ node = ParameterExtractorNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", invoke_from=InvokeFrom.WEB_APP, user_from=UserFrom.ACCOUNT, config={ - 'id': 'llm', - 'data': { - 'title': '123', - 'type': 'parameter-extractor', - 'model': { - 'provider': 'openai', - 'name': 'gpt-3.5-turbo-instruct', - 'mode': 'completion', - 'completion_params': {} + "id": "llm", + "data": { + "title": "123", + "type": "parameter-extractor", + "model": { + "provider": "openai", + "name": "gpt-3.5-turbo-instruct", + "mode": "completion", + "completion_params": {}, }, - 'query': ['sys', 'query'], - 'parameters': [{ - 'name': 'location', - 'type': 'string', - 'description': 'location', - 'required': True - }], - 'reasoning_mode': 'prompt', - 'instruction': '{{#sys.query#}}', - 'memory': None, - } - } + "query": ["sys", "query"], + "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}], + "reasoning_mode": "prompt", + "instruction": "{{#sys.query#}}", + "memory": None, + }, + }, ) node._fetch_model_config = get_mocked_fetch_model_config( - provider='openai', model='gpt-3.5-turbo-instruct', mode='completion', credentials={ - 'openai_api_key': os.environ.get('OPENAI_API_KEY') - } + provider="openai", + model="gpt-3.5-turbo-instruct", + mode="completion", + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, ) db.session.close = MagicMock() # construct variable pool - pool = VariablePool(system_variables={ - SystemVariableKey.QUERY: 'what\'s the weather in SF', - SystemVariableKey.FILES: [], - SystemVariableKey.CONVERSATION_ID: 'abababa', - SystemVariableKey.USER_ID: 'aaa' - }, user_inputs={}, environment_variables=[]) + pool = VariablePool( + system_variables={ + SystemVariableKey.QUERY: "what's the weather in SF", + SystemVariableKey.FILES: [], + SystemVariableKey.CONVERSATION_ID: "abababa", + SystemVariableKey.USER_ID: "aaa", + }, + user_inputs={}, + environment_variables=[], + ) result = node.run(pool) assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert result.outputs.get('location') == '' - assert result.outputs.get('__reason') == 'Failed to extract result from function call or text response, using empty result.' - assert len(result.process_data.get('prompts')) == 1 - assert 'SF' in result.process_data.get('prompts')[0].get('text') + assert result.outputs.get("location") == "" + assert ( + result.outputs.get("__reason") + == "Failed to extract result from function call or text response, using empty result." + ) + assert len(result.process_data.get("prompts")) == 1 + assert "SF" in result.process_data.get("prompts")[0].get("text") + def test_extract_json_response(): """ @@ -327,35 +323,30 @@ def test_extract_json_response(): """ node = ParameterExtractorNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", invoke_from=InvokeFrom.WEB_APP, user_from=UserFrom.ACCOUNT, config={ - 'id': 'llm', - 'data': { - 'title': '123', - 'type': 'parameter-extractor', - 'model': { - 'provider': 'openai', - 'name': 'gpt-3.5-turbo-instruct', - 'mode': 'completion', - 'completion_params': {} + "id": "llm", + "data": { + "title": "123", + "type": "parameter-extractor", + "model": { + "provider": "openai", + "name": "gpt-3.5-turbo-instruct", + "mode": "completion", + "completion_params": {}, }, - 'query': ['sys', 'query'], - 'parameters': [{ - 'name': 'location', - 'type': 'string', - 'description': 'location', - 'required': True - }], - 'reasoning_mode': 'prompt', - 'instruction': '{{#sys.query#}}', - 'memory': None, - } - } + "query": ["sys", "query"], + "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}], + "reasoning_mode": "prompt", + "instruction": "{{#sys.query#}}", + "memory": None, + }, + }, ) result = node._extract_complete_json_response(""" @@ -366,83 +357,77 @@ def test_extract_json_response(): hello world. """) - assert result['location'] == 'kawaii' + assert result["location"] == "kawaii" -@pytest.mark.parametrize('setup_anthropic_mock', [['none']], indirect=True) + +@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True) def test_chat_parameter_extractor_with_memory(setup_anthropic_mock): """ Test chat parameter extractor with memory. """ node = ParameterExtractorNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", invoke_from=InvokeFrom.WEB_APP, user_from=UserFrom.ACCOUNT, config={ - 'id': 'llm', - 'data': { - 'title': '123', - 'type': 'parameter-extractor', - 'model': { - 'provider': 'anthropic', - 'name': 'claude-2', - 'mode': 'chat', - 'completion_params': {} - }, - 'query': ['sys', 'query'], - 'parameters': [{ - 'name': 'location', - 'type': 'string', - 'description': 'location', - 'required': True - }], - 'reasoning_mode': 'prompt', - 'instruction': '', - 'memory': { - 'window': { - 'enabled': True, - 'size': 50 - } - }, - } - } + "id": "llm", + "data": { + "title": "123", + "type": "parameter-extractor", + "model": {"provider": "anthropic", "name": "claude-2", "mode": "chat", "completion_params": {}}, + "query": ["sys", "query"], + "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}], + "reasoning_mode": "prompt", + "instruction": "", + "memory": {"window": {"enabled": True, "size": 50}}, + }, + }, ) node._fetch_model_config = get_mocked_fetch_model_config( - provider='anthropic', model='claude-2', mode='chat', credentials={ - 'anthropic_api_key': os.environ.get('ANTHROPIC_API_KEY') - } + provider="anthropic", + model="claude-2", + mode="chat", + credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")}, ) - node._fetch_memory = get_mocked_fetch_memory('customized memory') + node._fetch_memory = get_mocked_fetch_memory("customized memory") db.session.close = MagicMock() # construct variable pool - pool = VariablePool(system_variables={ - SystemVariableKey.QUERY: 'what\'s the weather in SF', - SystemVariableKey.FILES: [], - SystemVariableKey.CONVERSATION_ID: 'abababa', - SystemVariableKey.USER_ID: 'aaa' - }, user_inputs={}, environment_variables=[]) + pool = VariablePool( + system_variables={ + SystemVariableKey.QUERY: "what's the weather in SF", + SystemVariableKey.FILES: [], + SystemVariableKey.CONVERSATION_ID: "abababa", + SystemVariableKey.USER_ID: "aaa", + }, + user_inputs={}, + environment_variables=[], + ) result = node.run(pool) assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert result.outputs.get('location') == '' - assert result.outputs.get('__reason') == 'Failed to extract result from function call or text response, using empty result.' - prompts = result.process_data.get('prompts') + assert result.outputs.get("location") == "" + assert ( + result.outputs.get("__reason") + == "Failed to extract result from function call or text response, using empty result." + ) + prompts = result.process_data.get("prompts") latest_role = None for prompt in prompts: - if prompt.get('role') == 'user': - if '' in prompt.get('text'): - assert '\n{"type": "object"' in prompt.get('text') - elif prompt.get('role') == 'system': - assert 'customized memory' in prompt.get('text') + if prompt.get("role") == "user": + if "" in prompt.get("text"): + assert '\n{"type": "object"' in prompt.get("text") + elif prompt.get("role") == "system": + assert "customized memory" in prompt.get("text") if latest_role is not None: - assert latest_role != prompt.get('role') + assert latest_role != prompt.get("role") - if prompt.get('role') in ['user', 'assistant']: - latest_role = prompt.get('role') + if prompt.get("role") in ["user", "assistant"]: + latest_role = prompt.get("role") diff --git a/api/tests/integration_tests/workflow/nodes/test_template_transform.py b/api/tests/integration_tests/workflow/nodes/test_template_transform.py index 781dfbc50f..617b6370c9 100644 --- a/api/tests/integration_tests/workflow/nodes/test_template_transform.py +++ b/api/tests/integration_tests/workflow/nodes/test_template_transform.py @@ -8,42 +8,39 @@ from models.workflow import WorkflowNodeExecutionStatus from tests.integration_tests.workflow.nodes.__mock.code_executor import setup_code_executor_mock -@pytest.mark.parametrize('setup_code_executor_mock', [['none']], indirect=True) +@pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True) def test_execute_code(setup_code_executor_mock): - code = '''{{args2}}''' + code = """{{args2}}""" node = TemplateTransformNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", invoke_from=InvokeFrom.WEB_APP, user_from=UserFrom.END_USER, config={ - 'id': '1', - 'data': { - 'title': '123', - 'variables': [ + "id": "1", + "data": { + "title": "123", + "variables": [ { - 'variable': 'args1', - 'value_selector': ['1', '123', 'args1'], + "variable": "args1", + "value_selector": ["1", "123", "args1"], }, - { - 'variable': 'args2', - 'value_selector': ['1', '123', 'args2'] - } + {"variable": "args2", "value_selector": ["1", "123", "args2"]}, ], - 'template': code, - } - } + "template": code, + }, + }, ) # construct variable pool pool = VariablePool(system_variables={}, user_inputs={}, environment_variables=[]) - pool.add(['1', '123', 'args1'], 1) - pool.add(['1', '123', 'args2'], 3) - + pool.add(["1", "123", "args1"], 1) + pool.add(["1", "123", "args2"], 3) + # execute node result = node.run(pool) - + assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert result.outputs['output'] == '3' + assert result.outputs["output"] == "3" diff --git a/api/tests/integration_tests/workflow/nodes/test_tool.py b/api/tests/integration_tests/workflow/nodes/test_tool.py index 01d62280e8..29c1efa8e7 100644 --- a/api/tests/integration_tests/workflow/nodes/test_tool.py +++ b/api/tests/integration_tests/workflow/nodes/test_tool.py @@ -7,78 +7,79 @@ from models.workflow import WorkflowNodeExecutionStatus def test_tool_variable_invoke(): pool = VariablePool(system_variables={}, user_inputs={}, environment_variables=[]) - pool.add(['1', '123', 'args1'], '1+1') + pool.add(["1", "123", "args1"], "1+1") node = ToolNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", invoke_from=InvokeFrom.WEB_APP, user_from=UserFrom.ACCOUNT, config={ - 'id': '1', - 'data': { - 'title': 'a', - 'desc': 'a', - 'provider_id': 'maths', - 'provider_type': 'builtin', - 'provider_name': 'maths', - 'tool_name': 'eval_expression', - 'tool_label': 'eval_expression', - 'tool_configurations': {}, - 'tool_parameters': { - 'expression': { - 'type': 'variable', - 'value': ['1', '123', 'args1'], + "id": "1", + "data": { + "title": "a", + "desc": "a", + "provider_id": "maths", + "provider_type": "builtin", + "provider_name": "maths", + "tool_name": "eval_expression", + "tool_label": "eval_expression", + "tool_configurations": {}, + "tool_parameters": { + "expression": { + "type": "variable", + "value": ["1", "123", "args1"], } - } - } - } + }, + }, + }, ) # execute node result = node.run(pool) - + assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert '2' in result.outputs['text'] - assert result.outputs['files'] == [] + assert "2" in result.outputs["text"] + assert result.outputs["files"] == [] + def test_tool_mixed_invoke(): pool = VariablePool(system_variables={}, user_inputs={}, environment_variables=[]) - pool.add(['1', 'args1'], '1+1') + pool.add(["1", "args1"], "1+1") node = ToolNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", invoke_from=InvokeFrom.WEB_APP, user_from=UserFrom.ACCOUNT, config={ - 'id': '1', - 'data': { - 'title': 'a', - 'desc': 'a', - 'provider_id': 'maths', - 'provider_type': 'builtin', - 'provider_name': 'maths', - 'tool_name': 'eval_expression', - 'tool_label': 'eval_expression', - 'tool_configurations': {}, - 'tool_parameters': { - 'expression': { - 'type': 'mixed', - 'value': '{{#1.args1#}}', + "id": "1", + "data": { + "title": "a", + "desc": "a", + "provider_id": "maths", + "provider_type": "builtin", + "provider_name": "maths", + "tool_name": "eval_expression", + "tool_label": "eval_expression", + "tool_configurations": {}, + "tool_parameters": { + "expression": { + "type": "mixed", + "value": "{{#1.args1#}}", } - } - } - } + }, + }, + }, ) # execute node result = node.run(pool) - + assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert '2' in result.outputs['text'] - assert result.outputs['files'] == [] \ No newline at end of file + assert "2" in result.outputs["text"] + assert result.outputs["files"] == [] diff --git a/api/tests/unit_tests/configs/test_dify_config.py b/api/tests/unit_tests/configs/test_dify_config.py index 949a5a1769..39f313b513 100644 --- a/api/tests/unit_tests/configs/test_dify_config.py +++ b/api/tests/unit_tests/configs/test_dify_config.py @@ -6,18 +6,21 @@ from flask import Flask from configs.app_config import DifyConfig -EXAMPLE_ENV_FILENAME = '.env' +EXAMPLE_ENV_FILENAME = ".env" @pytest.fixture def example_env_file(tmp_path, monkeypatch) -> str: monkeypatch.chdir(tmp_path) file_path = tmp_path.joinpath(EXAMPLE_ENV_FILENAME) - file_path.write_text(dedent( - """ + file_path.write_text( + dedent( + """ CONSOLE_API_URL=https://example.com CONSOLE_WEB_URL=https://example.com - """)) + """ + ) + ) return str(file_path) @@ -29,7 +32,7 @@ def test_dify_config_undefined_entry(example_env_file): # entries not defined in app settings with pytest.raises(TypeError): # TypeError: 'AppSettings' object is not subscriptable - assert config['LOG_LEVEL'] == 'INFO' + assert config["LOG_LEVEL"] == "INFO" def test_dify_config(example_env_file): @@ -37,10 +40,10 @@ def test_dify_config(example_env_file): config = DifyConfig(_env_file=example_env_file) # constant values - assert config.COMMIT_SHA == '' + assert config.COMMIT_SHA == "" # default values - assert config.EDITION == 'SELF_HOSTED' + assert config.EDITION == "SELF_HOSTED" assert config.API_COMPRESSION_ENABLED is False assert config.SENTRY_TRACES_SAMPLE_RATE == 1.0 @@ -48,36 +51,36 @@ def test_dify_config(example_env_file): # NOTE: If there is a `.env` file in your Workspace, this test might not succeed as expected. # This is due to `pymilvus` loading all the variables from the `.env` file into `os.environ`. def test_flask_configs(example_env_file): - flask_app = Flask('app') + flask_app = Flask("app") # clear system environment variables os.environ.clear() flask_app.config.from_mapping(DifyConfig(_env_file=example_env_file).model_dump()) # pyright: ignore config = flask_app.config # configs read from pydantic-settings - assert config['LOG_LEVEL'] == 'INFO' - assert config['COMMIT_SHA'] == '' - assert config['EDITION'] == 'SELF_HOSTED' - assert config['API_COMPRESSION_ENABLED'] is False - assert config['SENTRY_TRACES_SAMPLE_RATE'] == 1.0 - assert config['TESTING'] == False + assert config["LOG_LEVEL"] == "INFO" + assert config["COMMIT_SHA"] == "" + assert config["EDITION"] == "SELF_HOSTED" + assert config["API_COMPRESSION_ENABLED"] is False + assert config["SENTRY_TRACES_SAMPLE_RATE"] == 1.0 + assert config["TESTING"] == False # value from env file - assert config['CONSOLE_API_URL'] == 'https://example.com' + assert config["CONSOLE_API_URL"] == "https://example.com" # fallback to alias choices value as CONSOLE_API_URL - assert config['FILES_URL'] == 'https://example.com' + assert config["FILES_URL"] == "https://example.com" - assert config['SQLALCHEMY_DATABASE_URI'] == 'postgresql://postgres:@localhost:5432/dify' - assert config['SQLALCHEMY_ENGINE_OPTIONS'] == { - 'connect_args': { - 'options': '-c timezone=UTC', + assert config["SQLALCHEMY_DATABASE_URI"] == "postgresql://postgres:@localhost:5432/dify" + assert config["SQLALCHEMY_ENGINE_OPTIONS"] == { + "connect_args": { + "options": "-c timezone=UTC", }, - 'max_overflow': 10, - 'pool_pre_ping': False, - 'pool_recycle': 3600, - 'pool_size': 30, + "max_overflow": 10, + "pool_pre_ping": False, + "pool_recycle": 3600, + "pool_size": 30, } - assert config['CONSOLE_WEB_URL']=='https://example.com' - assert config['CONSOLE_CORS_ALLOW_ORIGINS']==['https://example.com'] - assert config['WEB_API_CORS_ALLOW_ORIGINS'] == ['*'] + assert config["CONSOLE_WEB_URL"] == "https://example.com" + assert config["CONSOLE_CORS_ALLOW_ORIGINS"] == ["https://example.com"] + assert config["WEB_API_CORS_ALLOW_ORIGINS"] == ["*"] diff --git a/api/tests/unit_tests/core/app/segments/test_factory.py b/api/tests/unit_tests/core/app/segments/test_factory.py index afd0fa50b5..0824c8e9e9 100644 --- a/api/tests/unit_tests/core/app/segments/test_factory.py +++ b/api/tests/unit_tests/core/app/segments/test_factory.py @@ -17,31 +17,31 @@ from core.app.segments.exc import VariableError def test_string_variable(): - test_data = {'value_type': 'string', 'name': 'test_text', 'value': 'Hello, World!'} + test_data = {"value_type": "string", "name": "test_text", "value": "Hello, World!"} result = factory.build_variable_from_mapping(test_data) assert isinstance(result, StringVariable) def test_integer_variable(): - test_data = {'value_type': 'number', 'name': 'test_int', 'value': 42} + test_data = {"value_type": "number", "name": "test_int", "value": 42} result = factory.build_variable_from_mapping(test_data) assert isinstance(result, IntegerVariable) def test_float_variable(): - test_data = {'value_type': 'number', 'name': 'test_float', 'value': 3.14} + test_data = {"value_type": "number", "name": "test_float", "value": 3.14} result = factory.build_variable_from_mapping(test_data) assert isinstance(result, FloatVariable) def test_secret_variable(): - test_data = {'value_type': 'secret', 'name': 'test_secret', 'value': 'secret_value'} + test_data = {"value_type": "secret", "name": "test_secret", "value": "secret_value"} result = factory.build_variable_from_mapping(test_data) assert isinstance(result, SecretVariable) def test_invalid_value_type(): - test_data = {'value_type': 'unknown', 'name': 'test_invalid', 'value': 'value'} + test_data = {"value_type": "unknown", "name": "test_invalid", "value": "value"} with pytest.raises(VariableError): factory.build_variable_from_mapping(test_data) @@ -49,51 +49,51 @@ def test_invalid_value_type(): def test_build_a_blank_string(): result = factory.build_variable_from_mapping( { - 'value_type': 'string', - 'name': 'blank', - 'value': '', + "value_type": "string", + "name": "blank", + "value": "", } ) assert isinstance(result, StringVariable) - assert result.value == '' + assert result.value == "" def test_build_a_object_variable_with_none_value(): var = factory.build_segment( { - 'key1': None, + "key1": None, } ) assert isinstance(var, ObjectSegment) - assert var.value['key1'] is None + assert var.value["key1"] is None def test_object_variable(): mapping = { - 'id': str(uuid4()), - 'value_type': 'object', - 'name': 'test_object', - 'description': 'Description of the variable.', - 'value': { - 'key1': 'text', - 'key2': 2, + "id": str(uuid4()), + "value_type": "object", + "name": "test_object", + "description": "Description of the variable.", + "value": { + "key1": "text", + "key2": 2, }, } variable = factory.build_variable_from_mapping(mapping) assert isinstance(variable, ObjectSegment) - assert isinstance(variable.value['key1'], str) - assert isinstance(variable.value['key2'], int) + assert isinstance(variable.value["key1"], str) + assert isinstance(variable.value["key2"], int) def test_array_string_variable(): mapping = { - 'id': str(uuid4()), - 'value_type': 'array[string]', - 'name': 'test_array', - 'description': 'Description of the variable.', - 'value': [ - 'text', - 'text', + "id": str(uuid4()), + "value_type": "array[string]", + "name": "test_array", + "description": "Description of the variable.", + "value": [ + "text", + "text", ], } variable = factory.build_variable_from_mapping(mapping) @@ -104,11 +104,11 @@ def test_array_string_variable(): def test_array_number_variable(): mapping = { - 'id': str(uuid4()), - 'value_type': 'array[number]', - 'name': 'test_array', - 'description': 'Description of the variable.', - 'value': [ + "id": str(uuid4()), + "value_type": "array[number]", + "name": "test_array", + "description": "Description of the variable.", + "value": [ 1, 2.0, ], @@ -121,18 +121,18 @@ def test_array_number_variable(): def test_array_object_variable(): mapping = { - 'id': str(uuid4()), - 'value_type': 'array[object]', - 'name': 'test_array', - 'description': 'Description of the variable.', - 'value': [ + "id": str(uuid4()), + "value_type": "array[object]", + "name": "test_array", + "description": "Description of the variable.", + "value": [ { - 'key1': 'text', - 'key2': 1, + "key1": "text", + "key2": 1, }, { - 'key1': 'text', - 'key2': 1, + "key1": "text", + "key2": 1, }, ], } @@ -140,19 +140,19 @@ def test_array_object_variable(): assert isinstance(variable, ArrayObjectVariable) assert isinstance(variable.value[0], dict) assert isinstance(variable.value[1], dict) - assert isinstance(variable.value[0]['key1'], str) - assert isinstance(variable.value[0]['key2'], int) - assert isinstance(variable.value[1]['key1'], str) - assert isinstance(variable.value[1]['key2'], int) + assert isinstance(variable.value[0]["key1"], str) + assert isinstance(variable.value[0]["key2"], int) + assert isinstance(variable.value[1]["key1"], str) + assert isinstance(variable.value[1]["key2"], int) def test_variable_cannot_large_than_5_kb(): with pytest.raises(VariableError): factory.build_variable_from_mapping( { - 'id': str(uuid4()), - 'value_type': 'string', - 'name': 'test_text', - 'value': 'a' * 1024 * 6, + "id": str(uuid4()), + "value_type": "string", + "name": "test_text", + "value": "a" * 1024 * 6, } ) diff --git a/api/tests/unit_tests/core/app/segments/test_segment.py b/api/tests/unit_tests/core/app/segments/test_segment.py index 50d991316d..7cc339d212 100644 --- a/api/tests/unit_tests/core/app/segments/test_segment.py +++ b/api/tests/unit_tests/core/app/segments/test_segment.py @@ -7,20 +7,20 @@ from core.workflow.enums import SystemVariableKey def test_segment_group_to_text(): variable_pool = VariablePool( system_variables={ - SystemVariableKey('user_id'): 'fake-user-id', + SystemVariableKey("user_id"): "fake-user-id", }, user_inputs={}, environment_variables=[ - SecretVariable(name='secret_key', value='fake-secret-key'), + SecretVariable(name="secret_key", value="fake-secret-key"), ], ) - variable_pool.add(('node_id', 'custom_query'), 'fake-user-query') + variable_pool.add(("node_id", "custom_query"), "fake-user-query") template = ( - 'Hello, {{#sys.user_id#}}! Your query is {{#node_id.custom_query#}}. And your key is {{#env.secret_key#}}.' + "Hello, {{#sys.user_id#}}! Your query is {{#node_id.custom_query#}}. And your key is {{#env.secret_key#}}." ) segments_group = parser.convert_template(template=template, variable_pool=variable_pool) - assert segments_group.text == 'Hello, fake-user-id! Your query is fake-user-query. And your key is fake-secret-key.' + assert segments_group.text == "Hello, fake-user-id! Your query is fake-user-query. And your key is fake-secret-key." assert ( segments_group.log == f"Hello, fake-user-id! Your query is fake-user-query. And your key is {encrypter.obfuscated_token('fake-secret-key')}." @@ -33,22 +33,22 @@ def test_convert_constant_to_segment_group(): user_inputs={}, environment_variables=[], ) - template = 'Hello, world!' + template = "Hello, world!" segments_group = parser.convert_template(template=template, variable_pool=variable_pool) - assert segments_group.text == 'Hello, world!' - assert segments_group.log == 'Hello, world!' + assert segments_group.text == "Hello, world!" + assert segments_group.log == "Hello, world!" def test_convert_variable_to_segment_group(): variable_pool = VariablePool( system_variables={ - SystemVariableKey('user_id'): 'fake-user-id', + SystemVariableKey("user_id"): "fake-user-id", }, user_inputs={}, environment_variables=[], ) - template = '{{#sys.user_id#}}' + template = "{{#sys.user_id#}}" segments_group = parser.convert_template(template=template, variable_pool=variable_pool) - assert segments_group.text == 'fake-user-id' - assert segments_group.log == 'fake-user-id' - assert segments_group.value == [StringSegment(value='fake-user-id')] + assert segments_group.text == "fake-user-id" + assert segments_group.log == "fake-user-id" + assert segments_group.value == [StringSegment(value="fake-user-id")] diff --git a/api/tests/unit_tests/core/app/segments/test_variables.py b/api/tests/unit_tests/core/app/segments/test_variables.py index 1f45c15f87..b3f0ae626c 100644 --- a/api/tests/unit_tests/core/app/segments/test_variables.py +++ b/api/tests/unit_tests/core/app/segments/test_variables.py @@ -13,60 +13,60 @@ from core.app.segments import ( def test_frozen_variables(): - var = StringVariable(name='text', value='text') + var = StringVariable(name="text", value="text") with pytest.raises(ValidationError): - var.value = 'new value' + var.value = "new value" - int_var = IntegerVariable(name='integer', value=42) + int_var = IntegerVariable(name="integer", value=42) with pytest.raises(ValidationError): int_var.value = 100 - float_var = FloatVariable(name='float', value=3.14) + float_var = FloatVariable(name="float", value=3.14) with pytest.raises(ValidationError): float_var.value = 2.718 - secret_var = SecretVariable(name='secret', value='secret_value') + secret_var = SecretVariable(name="secret", value="secret_value") with pytest.raises(ValidationError): - secret_var.value = 'new_secret_value' + secret_var.value = "new_secret_value" def test_variable_value_type_immutable(): with pytest.raises(ValidationError): - StringVariable(value_type=SegmentType.ARRAY_ANY, name='text', value='text') + StringVariable(value_type=SegmentType.ARRAY_ANY, name="text", value="text") with pytest.raises(ValidationError): - StringVariable.model_validate({'value_type': 'not text', 'name': 'text', 'value': 'text'}) + StringVariable.model_validate({"value_type": "not text", "name": "text", "value": "text"}) - var = IntegerVariable(name='integer', value=42) + var = IntegerVariable(name="integer", value=42) with pytest.raises(ValidationError): IntegerVariable(value_type=SegmentType.ARRAY_ANY, name=var.name, value=var.value) - var = FloatVariable(name='float', value=3.14) + var = FloatVariable(name="float", value=3.14) with pytest.raises(ValidationError): FloatVariable(value_type=SegmentType.ARRAY_ANY, name=var.name, value=var.value) - var = SecretVariable(name='secret', value='secret_value') + var = SecretVariable(name="secret", value="secret_value") with pytest.raises(ValidationError): SecretVariable(value_type=SegmentType.ARRAY_ANY, name=var.name, value=var.value) def test_object_variable_to_object(): var = ObjectVariable( - name='object', + name="object", value={ - 'key1': { - 'key2': 'value2', + "key1": { + "key2": "value2", }, - 'key2': ['value5_1', 42, {}], + "key2": ["value5_1", 42, {}], }, ) assert var.to_object() == { - 'key1': { - 'key2': 'value2', + "key1": { + "key2": "value2", }, - 'key2': [ - 'value5_1', + "key2": [ + "value5_1", 42, {}, ], @@ -74,11 +74,11 @@ def test_object_variable_to_object(): def test_variable_to_object(): - var = StringVariable(name='text', value='text') - assert var.to_object() == 'text' - var = IntegerVariable(name='integer', value=42) + var = StringVariable(name="text", value="text") + assert var.to_object() == "text" + var = IntegerVariable(name="integer", value=42) assert var.to_object() == 42 - var = FloatVariable(name='float', value=3.14) + var = FloatVariable(name="float", value=3.14) assert var.to_object() == 3.14 - var = SecretVariable(name='secret', value='secret_value') - assert var.to_object() == 'secret_value' + var = SecretVariable(name="secret", value="secret_value") + assert var.to_object() == "secret_value" diff --git a/api/tests/unit_tests/core/helper/test_ssrf_proxy.py b/api/tests/unit_tests/core/helper/test_ssrf_proxy.py index d917bb1003..7a0bc70c63 100644 --- a/api/tests/unit_tests/core/helper/test_ssrf_proxy.py +++ b/api/tests/unit_tests/core/helper/test_ssrf_proxy.py @@ -4,17 +4,17 @@ from unittest.mock import MagicMock, patch from core.helper.ssrf_proxy import SSRF_DEFAULT_MAX_RETRIES, STATUS_FORCELIST, make_request -@patch('httpx.request') +@patch("httpx.request") def test_successful_request(mock_request): mock_response = MagicMock() mock_response.status_code = 200 mock_request.return_value = mock_response - response = make_request('GET', 'http://example.com') + response = make_request("GET", "http://example.com") assert response.status_code == 200 -@patch('httpx.request') +@patch("httpx.request") def test_retry_exceed_max_retries(mock_request): mock_response = MagicMock() mock_response.status_code = 500 @@ -23,13 +23,13 @@ def test_retry_exceed_max_retries(mock_request): mock_request.side_effect = side_effects try: - make_request('GET', 'http://example.com', max_retries=SSRF_DEFAULT_MAX_RETRIES - 1) + make_request("GET", "http://example.com", max_retries=SSRF_DEFAULT_MAX_RETRIES - 1) raise AssertionError("Expected Exception not raised") except Exception as e: assert str(e) == f"Reached maximum retries ({SSRF_DEFAULT_MAX_RETRIES - 1}) for URL http://example.com" -@patch('httpx.request') +@patch("httpx.request") def test_retry_logic_success(mock_request): side_effects = [] @@ -45,8 +45,8 @@ def test_retry_logic_success(mock_request): mock_request.side_effect = side_effects - response = make_request('GET', 'http://example.com', max_retries=SSRF_DEFAULT_MAX_RETRIES) + response = make_request("GET", "http://example.com", max_retries=SSRF_DEFAULT_MAX_RETRIES) assert response.status_code == 200 assert mock_request.call_count == SSRF_DEFAULT_MAX_RETRIES + 1 - assert mock_request.call_args_list[0][1].get('method') == 'GET' + assert mock_request.call_args_list[0][1].get("method") == "GET" diff --git a/api/tests/unit_tests/core/model_runtime/model_providers/wenxin/test_text_embedding.py b/api/tests/unit_tests/core/model_runtime/model_providers/wenxin/test_text_embedding.py index 68334fde82..5b159b49b6 100644 --- a/api/tests/unit_tests/core/model_runtime/model_providers/wenxin/test_text_embedding.py +++ b/api/tests/unit_tests/core/model_runtime/model_providers/wenxin/test_text_embedding.py @@ -21,18 +21,18 @@ def test_max_chunks(): def _create_text_embedding(api_key: str, secret_key: str) -> TextEmbedding: return _MockTextEmbedding() - model = 'embedding-v1' + model = "embedding-v1" credentials = { - 'api_key': 'xxxx', - 'secret_key': 'yyyy', + "api_key": "xxxx", + "secret_key": "yyyy", } embedding_model = WenxinTextEmbeddingModel() context_size = embedding_model._get_context_size(model, credentials) max_chunks = embedding_model._get_max_chunks(model, credentials) embedding_model._create_text_embedding = _create_text_embedding - texts = ['0123456789' for i in range(0, max_chunks * 2)] - result: TextEmbeddingResult = embedding_model.invoke(model, credentials, texts, 'test') + texts = ["0123456789" for i in range(0, max_chunks * 2)] + result: TextEmbeddingResult = embedding_model.invoke(model, credentials, texts, "test") assert len(result.embeddings) == max_chunks * 2 @@ -41,16 +41,16 @@ def test_context_size(): return GPT2Tokenizer.get_num_tokens(text) def mock_text(token_size: int) -> str: - _text = "".join(['0' for i in range(token_size)]) + _text = "".join(["0" for i in range(token_size)]) num_tokens = get_num_tokens_by_gpt2(_text) ratio = int(np.floor(len(_text) / num_tokens)) m_text = "".join([_text for i in range(ratio)]) return m_text - model = 'embedding-v1' + model = "embedding-v1" credentials = { - 'api_key': 'xxxx', - 'secret_key': 'yyyy', + "api_key": "xxxx", + "secret_key": "yyyy", } embedding_model = WenxinTextEmbeddingModel() context_size = embedding_model._get_context_size(model, credentials) @@ -71,5 +71,5 @@ def test_context_size(): assert get_num_tokens_by_gpt2(text) == context_size * 2 texts = [text] - result: TextEmbeddingResult = embedding_model.invoke(model, credentials, texts, 'test') + result: TextEmbeddingResult = embedding_model.invoke(model, credentials, texts, "test") assert result.usage.tokens == context_size diff --git a/api/tests/unit_tests/core/prompt/test_advanced_prompt_transform.py b/api/tests/unit_tests/core/prompt/test_advanced_prompt_transform.py index d24cd4aae9..24bbde6d4e 100644 --- a/api/tests/unit_tests/core/prompt/test_advanced_prompt_transform.py +++ b/api/tests/unit_tests/core/prompt/test_advanced_prompt_transform.py @@ -14,39 +14,24 @@ from models.model import Conversation def test__get_completion_model_prompt_messages(): model_config_mock = MagicMock(spec=ModelConfigEntity) - model_config_mock.provider = 'openai' - model_config_mock.model = 'gpt-3.5-turbo-instruct' + model_config_mock.provider = "openai" + model_config_mock.model = "gpt-3.5-turbo-instruct" prompt_template = "Context:\n{{#context#}}\n\nHistories:\n{{#histories#}}\n\nyou are {{name}}." - prompt_template_config = CompletionModelPromptTemplate( - text=prompt_template - ) + prompt_template_config = CompletionModelPromptTemplate(text=prompt_template) memory_config = MemoryConfig( - role_prefix=MemoryConfig.RolePrefix( - user="Human", - assistant="Assistant" - ), - window=MemoryConfig.WindowConfig( - enabled=False - ) + role_prefix=MemoryConfig.RolePrefix(user="Human", assistant="Assistant"), + window=MemoryConfig.WindowConfig(enabled=False), ) - inputs = { - "name": "John" - } + inputs = {"name": "John"} files = [] context = "I am superman." - memory = TokenBufferMemory( - conversation=Conversation(), - model_instance=model_config_mock - ) + memory = TokenBufferMemory(conversation=Conversation(), model_instance=model_config_mock) - history_prompt_messages = [ - UserPromptMessage(content="Hi"), - AssistantPromptMessage(content="Hello") - ] + history_prompt_messages = [UserPromptMessage(content="Hi"), AssistantPromptMessage(content="Hello")] memory.get_history_prompt_messages = MagicMock(return_value=history_prompt_messages) prompt_transform = AdvancedPromptTransform() @@ -59,16 +44,22 @@ def test__get_completion_model_prompt_messages(): context=context, memory_config=memory_config, memory=memory, - model_config=model_config_mock + model_config=model_config_mock, ) assert len(prompt_messages) == 1 - assert prompt_messages[0].content == PromptTemplateParser(template=prompt_template).format({ - "#context#": context, - "#histories#": "\n".join([f"{'Human' if prompt.role.value == 'user' else 'Assistant'}: " - f"{prompt.content}" for prompt in history_prompt_messages]), - **inputs, - }) + assert prompt_messages[0].content == PromptTemplateParser(template=prompt_template).format( + { + "#context#": context, + "#histories#": "\n".join( + [ + f"{'Human' if prompt.role.value == 'user' else 'Assistant'}: " f"{prompt.content}" + for prompt in history_prompt_messages + ] + ), + **inputs, + } + ) def test__get_chat_model_prompt_messages(get_chat_model_args): @@ -77,15 +68,9 @@ def test__get_chat_model_prompt_messages(get_chat_model_args): files = [] query = "Hi2." - memory = TokenBufferMemory( - conversation=Conversation(), - model_instance=model_config_mock - ) + memory = TokenBufferMemory(conversation=Conversation(), model_instance=model_config_mock) - history_prompt_messages = [ - UserPromptMessage(content="Hi1."), - AssistantPromptMessage(content="Hello1!") - ] + history_prompt_messages = [UserPromptMessage(content="Hi1."), AssistantPromptMessage(content="Hello1!")] memory.get_history_prompt_messages = MagicMock(return_value=history_prompt_messages) prompt_transform = AdvancedPromptTransform() @@ -98,14 +83,14 @@ def test__get_chat_model_prompt_messages(get_chat_model_args): context=context, memory_config=memory_config, memory=memory, - model_config=model_config_mock + model_config=model_config_mock, ) assert len(prompt_messages) == 6 assert prompt_messages[0].role == PromptMessageRole.SYSTEM - assert prompt_messages[0].content == PromptTemplateParser( - template=messages[0].text - ).format({**inputs, "#context#": context}) + assert prompt_messages[0].content == PromptTemplateParser(template=messages[0].text).format( + {**inputs, "#context#": context} + ) assert prompt_messages[5].content == query @@ -124,14 +109,14 @@ def test__get_chat_model_prompt_messages_no_memory(get_chat_model_args): context=context, memory_config=None, memory=None, - model_config=model_config_mock + model_config=model_config_mock, ) assert len(prompt_messages) == 3 assert prompt_messages[0].role == PromptMessageRole.SYSTEM - assert prompt_messages[0].content == PromptTemplateParser( - template=messages[0].text - ).format({**inputs, "#context#": context}) + assert prompt_messages[0].content == PromptTemplateParser(template=messages[0].text).format( + {**inputs, "#context#": context} + ) def test__get_chat_model_prompt_messages_with_files_no_memory(get_chat_model_args): @@ -148,7 +133,7 @@ def test__get_chat_model_prompt_messages_with_files_no_memory(get_chat_model_arg image_config={ "detail": "high", } - ) + ), ) ] @@ -162,14 +147,14 @@ def test__get_chat_model_prompt_messages_with_files_no_memory(get_chat_model_arg context=context, memory_config=None, memory=None, - model_config=model_config_mock + model_config=model_config_mock, ) assert len(prompt_messages) == 4 assert prompt_messages[0].role == PromptMessageRole.SYSTEM - assert prompt_messages[0].content == PromptTemplateParser( - template=messages[0].text - ).format({**inputs, "#context#": context}) + assert prompt_messages[0].content == PromptTemplateParser(template=messages[0].text).format( + {**inputs, "#context#": context} + ) assert isinstance(prompt_messages[3].content, list) assert len(prompt_messages[3].content) == 2 assert prompt_messages[3].content[1].data == files[0].url @@ -178,33 +163,20 @@ def test__get_chat_model_prompt_messages_with_files_no_memory(get_chat_model_arg @pytest.fixture def get_chat_model_args(): model_config_mock = MagicMock(spec=ModelConfigEntity) - model_config_mock.provider = 'openai' - model_config_mock.model = 'gpt-4' + model_config_mock.provider = "openai" + model_config_mock.model = "gpt-4" - memory_config = MemoryConfig( - window=MemoryConfig.WindowConfig( - enabled=False - ) - ) + memory_config = MemoryConfig(window=MemoryConfig.WindowConfig(enabled=False)) prompt_messages = [ ChatModelMessage( - text="You are a helpful assistant named {{name}}.\n\nContext:\n{{#context#}}", - role=PromptMessageRole.SYSTEM + text="You are a helpful assistant named {{name}}.\n\nContext:\n{{#context#}}", role=PromptMessageRole.SYSTEM ), - ChatModelMessage( - text="Hi.", - role=PromptMessageRole.USER - ), - ChatModelMessage( - text="Hello!", - role=PromptMessageRole.ASSISTANT - ) + ChatModelMessage(text="Hi.", role=PromptMessageRole.USER), + ChatModelMessage(text="Hello!", role=PromptMessageRole.ASSISTANT), ] - inputs = { - "name": "John" - } + inputs = {"name": "John"} context = "I am superman." diff --git a/api/tests/unit_tests/core/prompt/test_agent_history_prompt_transform.py b/api/tests/unit_tests/core/prompt/test_agent_history_prompt_transform.py index 9de268d762..0fd176e65d 100644 --- a/api/tests/unit_tests/core/prompt/test_agent_history_prompt_transform.py +++ b/api/tests/unit_tests/core/prompt/test_agent_history_prompt_transform.py @@ -18,27 +18,28 @@ from models.model import Conversation def test_get_prompt(): prompt_messages = [ - SystemPromptMessage(content='System Template'), - UserPromptMessage(content='User Query'), + SystemPromptMessage(content="System Template"), + UserPromptMessage(content="User Query"), ] history_messages = [ - SystemPromptMessage(content='System Prompt 1'), - UserPromptMessage(content='User Prompt 1'), - AssistantPromptMessage(content='Assistant Thought 1'), - ToolPromptMessage(content='Tool 1-1', name='Tool 1-1', tool_call_id='1'), - ToolPromptMessage(content='Tool 1-2', name='Tool 1-2', tool_call_id='2'), - SystemPromptMessage(content='System Prompt 2'), - UserPromptMessage(content='User Prompt 2'), - AssistantPromptMessage(content='Assistant Thought 2'), - ToolPromptMessage(content='Tool 2-1', name='Tool 2-1', tool_call_id='3'), - ToolPromptMessage(content='Tool 2-2', name='Tool 2-2', tool_call_id='4'), - UserPromptMessage(content='User Prompt 3'), - AssistantPromptMessage(content='Assistant Thought 3'), + SystemPromptMessage(content="System Prompt 1"), + UserPromptMessage(content="User Prompt 1"), + AssistantPromptMessage(content="Assistant Thought 1"), + ToolPromptMessage(content="Tool 1-1", name="Tool 1-1", tool_call_id="1"), + ToolPromptMessage(content="Tool 1-2", name="Tool 1-2", tool_call_id="2"), + SystemPromptMessage(content="System Prompt 2"), + UserPromptMessage(content="User Prompt 2"), + AssistantPromptMessage(content="Assistant Thought 2"), + ToolPromptMessage(content="Tool 2-1", name="Tool 2-1", tool_call_id="3"), + ToolPromptMessage(content="Tool 2-2", name="Tool 2-2", tool_call_id="4"), + UserPromptMessage(content="User Prompt 3"), + AssistantPromptMessage(content="Assistant Thought 3"), ] # use message number instead of token for testing def side_effect_get_num_tokens(*args): return len(args[2]) + large_language_model_mock = MagicMock(spec=LargeLanguageModel) large_language_model_mock.get_num_tokens = MagicMock(side_effect=side_effect_get_num_tokens) @@ -46,20 +47,17 @@ def test_get_prompt(): provider_model_bundle_mock.model_type_instance = large_language_model_mock model_config_mock = MagicMock(spec=ModelConfigWithCredentialsEntity) - model_config_mock.model = 'openai' + model_config_mock.model = "openai" model_config_mock.credentials = {} model_config_mock.provider_model_bundle = provider_model_bundle_mock - memory = TokenBufferMemory( - conversation=Conversation(), - model_instance=model_config_mock - ) + memory = TokenBufferMemory(conversation=Conversation(), model_instance=model_config_mock) transform = AgentHistoryPromptTransform( model_config=model_config_mock, prompt_messages=prompt_messages, history_messages=history_messages, - memory=memory + memory=memory, ) max_token_limit = 5 diff --git a/api/tests/unit_tests/core/prompt/test_prompt_transform.py b/api/tests/unit_tests/core/prompt/test_prompt_transform.py index 2bcc6f4292..89c14463bb 100644 --- a/api/tests/unit_tests/core/prompt/test_prompt_transform.py +++ b/api/tests/unit_tests/core/prompt/test_prompt_transform.py @@ -12,19 +12,15 @@ from core.prompt.prompt_transform import PromptTransform def test__calculate_rest_token(): model_schema_mock = MagicMock(spec=AIModelEntity) parameter_rule_mock = MagicMock(spec=ParameterRule) - parameter_rule_mock.name = 'max_tokens' - model_schema_mock.parameter_rules = [ - parameter_rule_mock - ] - model_schema_mock.model_properties = { - ModelPropertyKey.CONTEXT_SIZE: 62 - } + parameter_rule_mock.name = "max_tokens" + model_schema_mock.parameter_rules = [parameter_rule_mock] + model_schema_mock.model_properties = {ModelPropertyKey.CONTEXT_SIZE: 62} large_language_model_mock = MagicMock(spec=LargeLanguageModel) large_language_model_mock.get_num_tokens.return_value = 6 provider_mock = MagicMock(spec=ProviderEntity) - provider_mock.provider = 'openai' + provider_mock.provider = "openai" provider_configuration_mock = MagicMock(spec=ProviderConfiguration) provider_configuration_mock.provider = provider_mock @@ -35,11 +31,9 @@ def test__calculate_rest_token(): provider_model_bundle_mock.configuration = provider_configuration_mock model_config_mock = MagicMock(spec=ModelConfigEntity) - model_config_mock.model = 'gpt-4' + model_config_mock.model = "gpt-4" model_config_mock.credentials = {} - model_config_mock.parameters = { - 'max_tokens': 50 - } + model_config_mock.parameters = {"max_tokens": 50} model_config_mock.model_schema = model_schema_mock model_config_mock.provider_model_bundle = provider_model_bundle_mock @@ -49,8 +43,10 @@ def test__calculate_rest_token(): rest_tokens = prompt_transform._calculate_rest_token(prompt_messages, model_config_mock) # Validate based on the mock configuration and expected logic - expected_rest_tokens = (model_schema_mock.model_properties[ModelPropertyKey.CONTEXT_SIZE] - - model_config_mock.parameters['max_tokens'] - - large_language_model_mock.get_num_tokens.return_value) + expected_rest_tokens = ( + model_schema_mock.model_properties[ModelPropertyKey.CONTEXT_SIZE] + - model_config_mock.parameters["max_tokens"] + - large_language_model_mock.get_num_tokens.return_value + ) assert rest_tokens == expected_rest_tokens assert rest_tokens == 6 diff --git a/api/tests/unit_tests/core/prompt/test_simple_prompt_transform.py b/api/tests/unit_tests/core/prompt/test_simple_prompt_transform.py index 6d6363610b..c32fc2bc34 100644 --- a/api/tests/unit_tests/core/prompt/test_simple_prompt_transform.py +++ b/api/tests/unit_tests/core/prompt/test_simple_prompt_transform.py @@ -19,12 +19,15 @@ def test_get_common_chat_app_prompt_template_with_pcqm(): query_in_prompt=True, with_memory_prompt=True, ) - prompt_rules = prompt_template['prompt_rules'] - assert prompt_template['prompt_template'].template == (prompt_rules['context_prompt'] - + pre_prompt + '\n' - + prompt_rules['histories_prompt'] - + prompt_rules['query_prompt']) - assert prompt_template['special_variable_keys'] == ['#context#', '#histories#', '#query#'] + prompt_rules = prompt_template["prompt_rules"] + assert prompt_template["prompt_template"].template == ( + prompt_rules["context_prompt"] + + pre_prompt + + "\n" + + prompt_rules["histories_prompt"] + + prompt_rules["query_prompt"] + ) + assert prompt_template["special_variable_keys"] == ["#context#", "#histories#", "#query#"] def test_get_baichuan_chat_app_prompt_template_with_pcqm(): @@ -39,12 +42,15 @@ def test_get_baichuan_chat_app_prompt_template_with_pcqm(): query_in_prompt=True, with_memory_prompt=True, ) - prompt_rules = prompt_template['prompt_rules'] - assert prompt_template['prompt_template'].template == (prompt_rules['context_prompt'] - + pre_prompt + '\n' - + prompt_rules['histories_prompt'] - + prompt_rules['query_prompt']) - assert prompt_template['special_variable_keys'] == ['#context#', '#histories#', '#query#'] + prompt_rules = prompt_template["prompt_rules"] + assert prompt_template["prompt_template"].template == ( + prompt_rules["context_prompt"] + + pre_prompt + + "\n" + + prompt_rules["histories_prompt"] + + prompt_rules["query_prompt"] + ) + assert prompt_template["special_variable_keys"] == ["#context#", "#histories#", "#query#"] def test_get_common_completion_app_prompt_template_with_pcq(): @@ -59,11 +65,11 @@ def test_get_common_completion_app_prompt_template_with_pcq(): query_in_prompt=True, with_memory_prompt=False, ) - prompt_rules = prompt_template['prompt_rules'] - assert prompt_template['prompt_template'].template == (prompt_rules['context_prompt'] - + pre_prompt + '\n' - + prompt_rules['query_prompt']) - assert prompt_template['special_variable_keys'] == ['#context#', '#query#'] + prompt_rules = prompt_template["prompt_rules"] + assert prompt_template["prompt_template"].template == ( + prompt_rules["context_prompt"] + pre_prompt + "\n" + prompt_rules["query_prompt"] + ) + assert prompt_template["special_variable_keys"] == ["#context#", "#query#"] def test_get_baichuan_completion_app_prompt_template_with_pcq(): @@ -78,12 +84,12 @@ def test_get_baichuan_completion_app_prompt_template_with_pcq(): query_in_prompt=True, with_memory_prompt=False, ) - print(prompt_template['prompt_template'].template) - prompt_rules = prompt_template['prompt_rules'] - assert prompt_template['prompt_template'].template == (prompt_rules['context_prompt'] - + pre_prompt + '\n' - + prompt_rules['query_prompt']) - assert prompt_template['special_variable_keys'] == ['#context#', '#query#'] + print(prompt_template["prompt_template"].template) + prompt_rules = prompt_template["prompt_rules"] + assert prompt_template["prompt_template"].template == ( + prompt_rules["context_prompt"] + pre_prompt + "\n" + prompt_rules["query_prompt"] + ) + assert prompt_template["special_variable_keys"] == ["#context#", "#query#"] def test_get_common_chat_app_prompt_template_with_q(): @@ -98,9 +104,9 @@ def test_get_common_chat_app_prompt_template_with_q(): query_in_prompt=True, with_memory_prompt=False, ) - prompt_rules = prompt_template['prompt_rules'] - assert prompt_template['prompt_template'].template == prompt_rules['query_prompt'] - assert prompt_template['special_variable_keys'] == ['#query#'] + prompt_rules = prompt_template["prompt_rules"] + assert prompt_template["prompt_template"].template == prompt_rules["query_prompt"] + assert prompt_template["special_variable_keys"] == ["#query#"] def test_get_common_chat_app_prompt_template_with_cq(): @@ -115,10 +121,11 @@ def test_get_common_chat_app_prompt_template_with_cq(): query_in_prompt=True, with_memory_prompt=False, ) - prompt_rules = prompt_template['prompt_rules'] - assert prompt_template['prompt_template'].template == (prompt_rules['context_prompt'] - + prompt_rules['query_prompt']) - assert prompt_template['special_variable_keys'] == ['#context#', '#query#'] + prompt_rules = prompt_template["prompt_rules"] + assert prompt_template["prompt_template"].template == ( + prompt_rules["context_prompt"] + prompt_rules["query_prompt"] + ) + assert prompt_template["special_variable_keys"] == ["#context#", "#query#"] def test_get_common_chat_app_prompt_template_with_p(): @@ -133,30 +140,25 @@ def test_get_common_chat_app_prompt_template_with_p(): query_in_prompt=False, with_memory_prompt=False, ) - assert prompt_template['prompt_template'].template == pre_prompt + '\n' - assert prompt_template['custom_variable_keys'] == ['name'] - assert prompt_template['special_variable_keys'] == [] + assert prompt_template["prompt_template"].template == pre_prompt + "\n" + assert prompt_template["custom_variable_keys"] == ["name"] + assert prompt_template["special_variable_keys"] == [] def test__get_chat_model_prompt_messages(): model_config_mock = MagicMock(spec=ModelConfigWithCredentialsEntity) - model_config_mock.provider = 'openai' - model_config_mock.model = 'gpt-4' + model_config_mock.provider = "openai" + model_config_mock.model = "gpt-4" memory_mock = MagicMock(spec=TokenBufferMemory) - history_prompt_messages = [ - UserPromptMessage(content="Hi"), - AssistantPromptMessage(content="Hello") - ] + history_prompt_messages = [UserPromptMessage(content="Hi"), AssistantPromptMessage(content="Hello")] memory_mock.get_history_prompt_messages.return_value = history_prompt_messages prompt_transform = SimplePromptTransform() prompt_transform._calculate_rest_token = MagicMock(return_value=2000) pre_prompt = "You are a helpful assistant {{name}}." - inputs = { - "name": "John" - } + inputs = {"name": "John"} context = "yes or no." query = "How are you?" prompt_messages, _ = prompt_transform._get_chat_model_prompt_messages( @@ -167,7 +169,7 @@ def test__get_chat_model_prompt_messages(): files=[], context=context, memory=memory_mock, - model_config=model_config_mock + model_config=model_config_mock, ) prompt_template = prompt_transform.get_prompt_template( @@ -180,8 +182,8 @@ def test__get_chat_model_prompt_messages(): with_memory_prompt=False, ) - full_inputs = {**inputs, '#context#': context} - real_system_prompt = prompt_template['prompt_template'].format(full_inputs) + full_inputs = {**inputs, "#context#": context} + real_system_prompt = prompt_template["prompt_template"].format(full_inputs) assert len(prompt_messages) == 4 assert prompt_messages[0].content == real_system_prompt @@ -192,26 +194,18 @@ def test__get_chat_model_prompt_messages(): def test__get_completion_model_prompt_messages(): model_config_mock = MagicMock(spec=ModelConfigWithCredentialsEntity) - model_config_mock.provider = 'openai' - model_config_mock.model = 'gpt-3.5-turbo-instruct' + model_config_mock.provider = "openai" + model_config_mock.model = "gpt-3.5-turbo-instruct" - memory = TokenBufferMemory( - conversation=Conversation(), - model_instance=model_config_mock - ) + memory = TokenBufferMemory(conversation=Conversation(), model_instance=model_config_mock) - history_prompt_messages = [ - UserPromptMessage(content="Hi"), - AssistantPromptMessage(content="Hello") - ] + history_prompt_messages = [UserPromptMessage(content="Hi"), AssistantPromptMessage(content="Hello")] memory.get_history_prompt_messages = MagicMock(return_value=history_prompt_messages) prompt_transform = SimplePromptTransform() prompt_transform._calculate_rest_token = MagicMock(return_value=2000) pre_prompt = "You are a helpful assistant {{name}}." - inputs = { - "name": "John" - } + inputs = {"name": "John"} context = "yes or no." query = "How are you?" prompt_messages, stops = prompt_transform._get_completion_model_prompt_messages( @@ -222,7 +216,7 @@ def test__get_completion_model_prompt_messages(): files=[], context=context, memory=memory, - model_config=model_config_mock + model_config=model_config_mock, ) prompt_template = prompt_transform.get_prompt_template( @@ -235,14 +229,19 @@ def test__get_completion_model_prompt_messages(): with_memory_prompt=True, ) - prompt_rules = prompt_template['prompt_rules'] - full_inputs = {**inputs, '#context#': context, '#query#': query, '#histories#': memory.get_history_prompt_text( - max_token_limit=2000, - human_prefix=prompt_rules.get("human_prefix", "Human"), - ai_prefix=prompt_rules.get("assistant_prefix", "Assistant") - )} - real_prompt = prompt_template['prompt_template'].format(full_inputs) + prompt_rules = prompt_template["prompt_rules"] + full_inputs = { + **inputs, + "#context#": context, + "#query#": query, + "#histories#": memory.get_history_prompt_text( + max_token_limit=2000, + human_prefix=prompt_rules.get("human_prefix", "Human"), + ai_prefix=prompt_rules.get("assistant_prefix", "Assistant"), + ), + } + real_prompt = prompt_template["prompt_template"].format(full_inputs) assert len(prompt_messages) == 1 - assert stops == prompt_rules.get('stops') + assert stops == prompt_rules.get("stops") assert prompt_messages[0].content == real_prompt diff --git a/api/tests/unit_tests/core/rag/datasource/vdb/milvus/test_milvus.py b/api/tests/unit_tests/core/rag/datasource/vdb/milvus/test_milvus.py index 9e43b23658..8d735cae86 100644 --- a/api/tests/unit_tests/core/rag/datasource/vdb/milvus/test_milvus.py +++ b/api/tests/unit_tests/core/rag/datasource/vdb/milvus/test_milvus.py @@ -5,20 +5,15 @@ from core.rag.datasource.vdb.milvus.milvus_vector import MilvusConfig def test_default_value(): - valid_config = { - 'host': 'localhost', - 'port': 19530, - 'user': 'root', - 'password': 'Milvus' - } + valid_config = {"host": "localhost", "port": 19530, "user": "root", "password": "Milvus"} for key in valid_config: config = valid_config.copy() del config[key] with pytest.raises(ValidationError) as e: MilvusConfig(**config) - assert e.value.errors()[0]['msg'] == f'Value error, config MILVUS_{key.upper()} is required' + assert e.value.errors()[0]["msg"] == f"Value error, config MILVUS_{key.upper()} is required" config = MilvusConfig(**valid_config) assert config.secure is False - assert config.database == 'default' + assert config.database == "default" diff --git a/api/tests/unit_tests/core/rag/extractor/firecrawl/test_firecrawl.py b/api/tests/unit_tests/core/rag/extractor/firecrawl/test_firecrawl.py index a8bba11e16..d5a1d8f436 100644 --- a/api/tests/unit_tests/core/rag/extractor/firecrawl/test_firecrawl.py +++ b/api/tests/unit_tests/core/rag/extractor/firecrawl/test_firecrawl.py @@ -9,19 +9,17 @@ from tests.unit_tests.core.rag.extractor.test_notion_extractor import _mock_resp def test_firecrawl_web_extractor_crawl_mode(mocker): url = "https://firecrawl.dev" - api_key = os.getenv('FIRECRAWL_API_KEY') or 'fc-' - base_url = 'https://api.firecrawl.dev' - firecrawl_app = FirecrawlApp(api_key=api_key, - base_url=base_url) + api_key = os.getenv("FIRECRAWL_API_KEY") or "fc-" + base_url = "https://api.firecrawl.dev" + firecrawl_app = FirecrawlApp(api_key=api_key, base_url=base_url) params = { - 'crawlerOptions': { + "crawlerOptions": { "includes": [], "excludes": [], "generateImgAltText": True, "maxDepth": 1, "limit": 1, - 'returnOnlyUrls': False, - + "returnOnlyUrls": False, } } mocked_firecrawl = { diff --git a/api/tests/unit_tests/core/rag/extractor/test_notion_extractor.py b/api/tests/unit_tests/core/rag/extractor/test_notion_extractor.py index b231fe479b..eea584a2f8 100644 --- a/api/tests/unit_tests/core/rag/extractor/test_notion_extractor.py +++ b/api/tests/unit_tests/core/rag/extractor/test_notion_extractor.py @@ -8,11 +8,8 @@ page_id = "page1" extractor = notion_extractor.NotionExtractor( - notion_workspace_id='x', - notion_obj_id='x', - notion_page_type='page', - tenant_id='x', - notion_access_token='x') + notion_workspace_id="x", notion_obj_id="x", notion_page_type="page", tenant_id="x", notion_access_token="x" +) def _generate_page(page_title: str): @@ -21,16 +18,10 @@ def _generate_page(page_title: str): "id": page_id, "properties": { "Page": { - "type": "title", - "title": [ - { - "type": "text", - "text": {"content": page_title}, - "plain_text": page_title - } - ] + "type": "title", + "title": [{"type": "text", "text": {"content": page_title}, "plain_text": page_title}], } - } + }, } @@ -38,10 +29,7 @@ def _generate_block(block_id: str, block_type: str, block_text: str): return { "object": "block", "id": block_id, - "parent": { - "type": "page_id", - "page_id": page_id - }, + "parent": {"type": "page_id", "page_id": page_id}, "type": block_type, "has_children": False, block_type: { @@ -49,10 +37,11 @@ def _generate_block(block_id: str, block_type: str, block_text: str): { "type": "text", "text": {"content": block_text}, - "plain_text": block_text, - }] - } - } + "plain_text": block_text, + } + ] + }, + } def _mock_response(data): @@ -63,7 +52,7 @@ def _mock_response(data): def _remove_multiple_new_lines(text): - while '\n\n' in text: + while "\n\n" in text: text = text.replace("\n\n", "\n") return text.strip() @@ -71,21 +60,21 @@ def _remove_multiple_new_lines(text): def test_notion_page(mocker): texts = ["Head 1", "1.1", "paragraph 1", "1.1.1"] mocked_notion_page = { - "object": "list", - "results": [ - _generate_block("b1", "heading_1", texts[0]), - _generate_block("b2", "heading_2", texts[1]), - _generate_block("b3", "paragraph", texts[2]), - _generate_block("b4", "heading_3", texts[3]) - ], - "next_cursor": None + "object": "list", + "results": [ + _generate_block("b1", "heading_1", texts[0]), + _generate_block("b2", "heading_2", texts[1]), + _generate_block("b3", "paragraph", texts[2]), + _generate_block("b4", "heading_3", texts[3]), + ], + "next_cursor": None, } mocker.patch("requests.request", return_value=_mock_response(mocked_notion_page)) page_docs = extractor._load_data_as_documents(page_id, "page") assert len(page_docs) == 1 content = _remove_multiple_new_lines(page_docs[0].page_content) - assert content == '# Head 1\n## 1.1\nparagraph 1\n### 1.1.1' + assert content == "# Head 1\n## 1.1\nparagraph 1\n### 1.1.1" def test_notion_database(mocker): @@ -93,10 +82,10 @@ def test_notion_database(mocker): mocked_notion_database = { "object": "list", "results": [_generate_page(i) for i in page_title_list], - "next_cursor": None + "next_cursor": None, } mocker.patch("requests.post", return_value=_mock_response(mocked_notion_database)) database_docs = extractor._load_data_as_documents(database_id, "database") assert len(database_docs) == 1 content = _remove_multiple_new_lines(database_docs[0].page_content) - assert content == '\n'.join([f'Page:{i}' for i in page_title_list]) + assert content == "\n".join([f"Page:{i}" for i in page_title_list]) diff --git a/api/tests/unit_tests/core/test_model_manager.py b/api/tests/unit_tests/core/test_model_manager.py index 3024a54a4d..2808b5b0fa 100644 --- a/api/tests/unit_tests/core/test_model_manager.py +++ b/api/tests/unit_tests/core/test_model_manager.py @@ -10,36 +10,24 @@ from core.model_runtime.entities.model_entities import ModelType @pytest.fixture def lb_model_manager(): load_balancing_configs = [ - ModelLoadBalancingConfiguration( - id='id1', - name='__inherit__', - credentials={} - ), - ModelLoadBalancingConfiguration( - id='id2', - name='first', - credentials={"openai_api_key": "fake_key"} - ), - ModelLoadBalancingConfiguration( - id='id3', - name='second', - credentials={"openai_api_key": "fake_key"} - ) + ModelLoadBalancingConfiguration(id="id1", name="__inherit__", credentials={}), + ModelLoadBalancingConfiguration(id="id2", name="first", credentials={"openai_api_key": "fake_key"}), + ModelLoadBalancingConfiguration(id="id3", name="second", credentials={"openai_api_key": "fake_key"}), ] lb_model_manager = LBModelManager( - tenant_id='tenant_id', - provider='openai', + tenant_id="tenant_id", + provider="openai", model_type=ModelType.LLM, - model='gpt-4', + model="gpt-4", load_balancing_configs=load_balancing_configs, - managed_credentials={"openai_api_key": "fake_key"} + managed_credentials={"openai_api_key": "fake_key"}, ) lb_model_manager.cooldown = MagicMock(return_value=None) def is_cooldown(config: ModelLoadBalancingConfiguration): - if config.id == 'id1': + if config.id == "id1": return True return False @@ -61,14 +49,15 @@ def test_lb_model_manager_fetch_next(mocker, lb_model_manager): assert lb_model_manager.in_cooldown(config3) is False start_index = 0 + def incr(key): nonlocal start_index start_index += 1 return start_index - mocker.patch('redis.Redis.incr', side_effect=incr) - mocker.patch('redis.Redis.set', return_value=None) - mocker.patch('redis.Redis.expire', return_value=None) + mocker.patch("redis.Redis.incr", side_effect=incr) + mocker.patch("redis.Redis.set", return_value=None) + mocker.patch("redis.Redis.expire", return_value=None) config = lb_model_manager.fetch_next() assert config == config2 diff --git a/api/tests/unit_tests/core/test_provider_manager.py b/api/tests/unit_tests/core/test_provider_manager.py index 072b6f100f..2f4214a580 100644 --- a/api/tests/unit_tests/core/test_provider_manager.py +++ b/api/tests/unit_tests/core/test_provider_manager.py @@ -11,62 +11,62 @@ def test__to_model_settings(mocker): provider_entity = None for provider in provider_entities: - if provider.provider == 'openai': + if provider.provider == "openai": provider_entity = provider # Mocking the inputs - provider_model_settings = [ProviderModelSetting( - id='id', - tenant_id='tenant_id', - provider_name='openai', - model_name='gpt-4', - model_type='text-generation', - enabled=True, - load_balancing_enabled=True - )] - load_balancing_model_configs = [ - LoadBalancingModelConfig( - id='id1', - tenant_id='tenant_id', - provider_name='openai', - model_name='gpt-4', - model_type='text-generation', - name='__inherit__', - encrypted_config=None, - enabled=True - ), - LoadBalancingModelConfig( - id='id2', - tenant_id='tenant_id', - provider_name='openai', - model_name='gpt-4', - model_type='text-generation', - name='first', - encrypted_config='{"openai_api_key": "fake_key"}', - enabled=True + provider_model_settings = [ + ProviderModelSetting( + id="id", + tenant_id="tenant_id", + provider_name="openai", + model_name="gpt-4", + model_type="text-generation", + enabled=True, + load_balancing_enabled=True, ) ] + load_balancing_model_configs = [ + LoadBalancingModelConfig( + id="id1", + tenant_id="tenant_id", + provider_name="openai", + model_name="gpt-4", + model_type="text-generation", + name="__inherit__", + encrypted_config=None, + enabled=True, + ), + LoadBalancingModelConfig( + id="id2", + tenant_id="tenant_id", + provider_name="openai", + model_name="gpt-4", + model_type="text-generation", + name="first", + encrypted_config='{"openai_api_key": "fake_key"}', + enabled=True, + ), + ] - mocker.patch('core.helper.model_provider_cache.ProviderCredentialsCache.get', return_value={"openai_api_key": "fake_key"}) + mocker.patch( + "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"} + ) provider_manager = ProviderManager() # Running the method - result = provider_manager._to_model_settings( - provider_entity, - provider_model_settings, - load_balancing_model_configs - ) + result = provider_manager._to_model_settings(provider_entity, provider_model_settings, load_balancing_model_configs) # Asserting that the result is as expected assert len(result) == 1 assert isinstance(result[0], ModelSettings) - assert result[0].model == 'gpt-4' + assert result[0].model == "gpt-4" assert result[0].model_type == ModelType.LLM assert result[0].enabled is True assert len(result[0].load_balancing_configs) == 2 - assert result[0].load_balancing_configs[0].name == '__inherit__' - assert result[0].load_balancing_configs[1].name == 'first' + assert result[0].load_balancing_configs[0].name == "__inherit__" + assert result[0].load_balancing_configs[1].name == "first" def test__to_model_settings_only_one_lb(mocker): @@ -75,47 +75,47 @@ def test__to_model_settings_only_one_lb(mocker): provider_entity = None for provider in provider_entities: - if provider.provider == 'openai': + if provider.provider == "openai": provider_entity = provider # Mocking the inputs - provider_model_settings = [ProviderModelSetting( - id='id', - tenant_id='tenant_id', - provider_name='openai', - model_name='gpt-4', - model_type='text-generation', - enabled=True, - load_balancing_enabled=True - )] + provider_model_settings = [ + ProviderModelSetting( + id="id", + tenant_id="tenant_id", + provider_name="openai", + model_name="gpt-4", + model_type="text-generation", + enabled=True, + load_balancing_enabled=True, + ) + ] load_balancing_model_configs = [ LoadBalancingModelConfig( - id='id1', - tenant_id='tenant_id', - provider_name='openai', - model_name='gpt-4', - model_type='text-generation', - name='__inherit__', + id="id1", + tenant_id="tenant_id", + provider_name="openai", + model_name="gpt-4", + model_type="text-generation", + name="__inherit__", encrypted_config=None, - enabled=True + enabled=True, ) ] - mocker.patch('core.helper.model_provider_cache.ProviderCredentialsCache.get', return_value={"openai_api_key": "fake_key"}) + mocker.patch( + "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"} + ) provider_manager = ProviderManager() # Running the method - result = provider_manager._to_model_settings( - provider_entity, - provider_model_settings, - load_balancing_model_configs - ) + result = provider_manager._to_model_settings(provider_entity, provider_model_settings, load_balancing_model_configs) # Asserting that the result is as expected assert len(result) == 1 assert isinstance(result[0], ModelSettings) - assert result[0].model == 'gpt-4' + assert result[0].model == "gpt-4" assert result[0].model_type == ModelType.LLM assert result[0].enabled is True assert len(result[0].load_balancing_configs) == 0 @@ -127,57 +127,57 @@ def test__to_model_settings_lb_disabled(mocker): provider_entity = None for provider in provider_entities: - if provider.provider == 'openai': + if provider.provider == "openai": provider_entity = provider # Mocking the inputs - provider_model_settings = [ProviderModelSetting( - id='id', - tenant_id='tenant_id', - provider_name='openai', - model_name='gpt-4', - model_type='text-generation', - enabled=True, - load_balancing_enabled=False - )] - load_balancing_model_configs = [ - LoadBalancingModelConfig( - id='id1', - tenant_id='tenant_id', - provider_name='openai', - model_name='gpt-4', - model_type='text-generation', - name='__inherit__', - encrypted_config=None, - enabled=True - ), - LoadBalancingModelConfig( - id='id2', - tenant_id='tenant_id', - provider_name='openai', - model_name='gpt-4', - model_type='text-generation', - name='first', - encrypted_config='{"openai_api_key": "fake_key"}', - enabled=True + provider_model_settings = [ + ProviderModelSetting( + id="id", + tenant_id="tenant_id", + provider_name="openai", + model_name="gpt-4", + model_type="text-generation", + enabled=True, + load_balancing_enabled=False, ) ] + load_balancing_model_configs = [ + LoadBalancingModelConfig( + id="id1", + tenant_id="tenant_id", + provider_name="openai", + model_name="gpt-4", + model_type="text-generation", + name="__inherit__", + encrypted_config=None, + enabled=True, + ), + LoadBalancingModelConfig( + id="id2", + tenant_id="tenant_id", + provider_name="openai", + model_name="gpt-4", + model_type="text-generation", + name="first", + encrypted_config='{"openai_api_key": "fake_key"}', + enabled=True, + ), + ] - mocker.patch('core.helper.model_provider_cache.ProviderCredentialsCache.get', return_value={"openai_api_key": "fake_key"}) + mocker.patch( + "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"} + ) provider_manager = ProviderManager() # Running the method - result = provider_manager._to_model_settings( - provider_entity, - provider_model_settings, - load_balancing_model_configs - ) + result = provider_manager._to_model_settings(provider_entity, provider_model_settings, load_balancing_model_configs) # Asserting that the result is as expected assert len(result) == 1 assert isinstance(result[0], ModelSettings) - assert result[0].model == 'gpt-4' + assert result[0].model == "gpt-4" assert result[0].model_type == ModelType.LLM assert result[0].enabled is True assert len(result[0].load_balancing_configs) == 0 diff --git a/api/tests/unit_tests/core/tools/test_tool_parameter_converter.py b/api/tests/unit_tests/core/tools/test_tool_parameter_converter.py index 9addeeadca..279a6cdbc3 100644 --- a/api/tests/unit_tests/core/tools/test_tool_parameter_converter.py +++ b/api/tests/unit_tests/core/tools/test_tool_parameter_converter.py @@ -5,52 +5,52 @@ from core.tools.utils.tool_parameter_converter import ToolParameterConverter def test_get_parameter_type(): - assert ToolParameterConverter.get_parameter_type(ToolParameter.ToolParameterType.STRING) == 'string' - assert ToolParameterConverter.get_parameter_type(ToolParameter.ToolParameterType.SELECT) == 'string' - assert ToolParameterConverter.get_parameter_type(ToolParameter.ToolParameterType.BOOLEAN) == 'boolean' - assert ToolParameterConverter.get_parameter_type(ToolParameter.ToolParameterType.NUMBER) == 'number' + assert ToolParameterConverter.get_parameter_type(ToolParameter.ToolParameterType.STRING) == "string" + assert ToolParameterConverter.get_parameter_type(ToolParameter.ToolParameterType.SELECT) == "string" + assert ToolParameterConverter.get_parameter_type(ToolParameter.ToolParameterType.BOOLEAN) == "boolean" + assert ToolParameterConverter.get_parameter_type(ToolParameter.ToolParameterType.NUMBER) == "number" with pytest.raises(ValueError): - ToolParameterConverter.get_parameter_type('unsupported_type') + ToolParameterConverter.get_parameter_type("unsupported_type") def test_cast_parameter_by_type(): # string - assert ToolParameterConverter.cast_parameter_by_type('test', ToolParameter.ToolParameterType.STRING) == 'test' - assert ToolParameterConverter.cast_parameter_by_type(1, ToolParameter.ToolParameterType.STRING) == '1' - assert ToolParameterConverter.cast_parameter_by_type(1.0, ToolParameter.ToolParameterType.STRING) == '1.0' - assert ToolParameterConverter.cast_parameter_by_type(None, ToolParameter.ToolParameterType.STRING) == '' + assert ToolParameterConverter.cast_parameter_by_type("test", ToolParameter.ToolParameterType.STRING) == "test" + assert ToolParameterConverter.cast_parameter_by_type(1, ToolParameter.ToolParameterType.STRING) == "1" + assert ToolParameterConverter.cast_parameter_by_type(1.0, ToolParameter.ToolParameterType.STRING) == "1.0" + assert ToolParameterConverter.cast_parameter_by_type(None, ToolParameter.ToolParameterType.STRING) == "" # secret input - assert ToolParameterConverter.cast_parameter_by_type('test', ToolParameter.ToolParameterType.SECRET_INPUT) == 'test' - assert ToolParameterConverter.cast_parameter_by_type(1, ToolParameter.ToolParameterType.SECRET_INPUT) == '1' - assert ToolParameterConverter.cast_parameter_by_type(1.0, ToolParameter.ToolParameterType.SECRET_INPUT) == '1.0' - assert ToolParameterConverter.cast_parameter_by_type(None, ToolParameter.ToolParameterType.SECRET_INPUT) == '' + assert ToolParameterConverter.cast_parameter_by_type("test", ToolParameter.ToolParameterType.SECRET_INPUT) == "test" + assert ToolParameterConverter.cast_parameter_by_type(1, ToolParameter.ToolParameterType.SECRET_INPUT) == "1" + assert ToolParameterConverter.cast_parameter_by_type(1.0, ToolParameter.ToolParameterType.SECRET_INPUT) == "1.0" + assert ToolParameterConverter.cast_parameter_by_type(None, ToolParameter.ToolParameterType.SECRET_INPUT) == "" # select - assert ToolParameterConverter.cast_parameter_by_type('test', ToolParameter.ToolParameterType.SELECT) == 'test' - assert ToolParameterConverter.cast_parameter_by_type(1, ToolParameter.ToolParameterType.SELECT) == '1' - assert ToolParameterConverter.cast_parameter_by_type(1.0, ToolParameter.ToolParameterType.SELECT) == '1.0' - assert ToolParameterConverter.cast_parameter_by_type(None, ToolParameter.ToolParameterType.SELECT) == '' + assert ToolParameterConverter.cast_parameter_by_type("test", ToolParameter.ToolParameterType.SELECT) == "test" + assert ToolParameterConverter.cast_parameter_by_type(1, ToolParameter.ToolParameterType.SELECT) == "1" + assert ToolParameterConverter.cast_parameter_by_type(1.0, ToolParameter.ToolParameterType.SELECT) == "1.0" + assert ToolParameterConverter.cast_parameter_by_type(None, ToolParameter.ToolParameterType.SELECT) == "" # boolean - true_values = [True, 'True', 'true', '1', 'YES', 'Yes', 'yes', 'y', 'something'] + true_values = [True, "True", "true", "1", "YES", "Yes", "yes", "y", "something"] for value in true_values: assert ToolParameterConverter.cast_parameter_by_type(value, ToolParameter.ToolParameterType.BOOLEAN) is True - false_values = [False, 'False', 'false', '0', 'NO', 'No', 'no', 'n', None, ''] + false_values = [False, "False", "false", "0", "NO", "No", "no", "n", None, ""] for value in false_values: assert ToolParameterConverter.cast_parameter_by_type(value, ToolParameter.ToolParameterType.BOOLEAN) is False # number - assert ToolParameterConverter.cast_parameter_by_type('1', ToolParameter.ToolParameterType.NUMBER) == 1 - assert ToolParameterConverter.cast_parameter_by_type('1.0', ToolParameter.ToolParameterType.NUMBER) == 1.0 - assert ToolParameterConverter.cast_parameter_by_type('-1.0', ToolParameter.ToolParameterType.NUMBER) == -1.0 + assert ToolParameterConverter.cast_parameter_by_type("1", ToolParameter.ToolParameterType.NUMBER) == 1 + assert ToolParameterConverter.cast_parameter_by_type("1.0", ToolParameter.ToolParameterType.NUMBER) == 1.0 + assert ToolParameterConverter.cast_parameter_by_type("-1.0", ToolParameter.ToolParameterType.NUMBER) == -1.0 assert ToolParameterConverter.cast_parameter_by_type(1, ToolParameter.ToolParameterType.NUMBER) == 1 assert ToolParameterConverter.cast_parameter_by_type(1.0, ToolParameter.ToolParameterType.NUMBER) == 1.0 assert ToolParameterConverter.cast_parameter_by_type(-1.0, ToolParameter.ToolParameterType.NUMBER) == -1.0 assert ToolParameterConverter.cast_parameter_by_type(None, ToolParameter.ToolParameterType.NUMBER) is None # unknown - assert ToolParameterConverter.cast_parameter_by_type('1', 'unknown_type') == '1' - assert ToolParameterConverter.cast_parameter_by_type(1, 'unknown_type') == '1' + assert ToolParameterConverter.cast_parameter_by_type("1", "unknown_type") == "1" + assert ToolParameterConverter.cast_parameter_by_type(1, "unknown_type") == "1" assert ToolParameterConverter.cast_parameter_by_type(None, ToolParameter.ToolParameterType.NUMBER) is None diff --git a/api/tests/unit_tests/core/workflow/nodes/test_answer.py b/api/tests/unit_tests/core/workflow/nodes/test_answer.py index 44b7c85256..8020674ee6 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_answer.py +++ b/api/tests/unit_tests/core/workflow/nodes/test_answer.py @@ -11,29 +11,30 @@ from models.workflow import WorkflowNodeExecutionStatus def test_execute_answer(): node = AnswerNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", user_from=UserFrom.ACCOUNT, invoke_from=InvokeFrom.DEBUGGER, config={ - 'id': 'answer', - 'data': { - 'title': '123', - 'type': 'answer', - 'answer': 'Today\'s weather is {{#start.weather#}}\n{{#llm.text#}}\n{{img}}\nFin.' - } - } + "id": "answer", + "data": { + "title": "123", + "type": "answer", + "answer": "Today's weather is {{#start.weather#}}\n{{#llm.text#}}\n{{img}}\nFin.", + }, + }, ) # construct variable pool - pool = VariablePool(system_variables={ - SystemVariableKey.FILES: [], - SystemVariableKey.USER_ID: 'aaa' - }, user_inputs={}, environment_variables=[]) - pool.add(['start', 'weather'], 'sunny') - pool.add(['llm', 'text'], 'You are a helpful AI.') + pool = VariablePool( + system_variables={SystemVariableKey.FILES: [], SystemVariableKey.USER_ID: "aaa"}, + user_inputs={}, + environment_variables=[], + ) + pool.add(["start", "weather"], "sunny") + pool.add(["llm", "text"], "You are a helpful AI.") # Mock db.session.close() db.session.close = MagicMock() @@ -42,4 +43,4 @@ def test_execute_answer(): result = node._run(pool) assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert result.outputs['answer'] == "Today's weather is sunny\nYou are a helpful AI.\n{{img}}\nFin." + assert result.outputs["answer"] == "Today's weather is sunny\nYou are a helpful AI.\n{{img}}\nFin." diff --git a/api/tests/unit_tests/core/workflow/nodes/test_if_else.py b/api/tests/unit_tests/core/workflow/nodes/test_if_else.py index 87ebcb34e6..9535bc2186 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_if_else.py +++ b/api/tests/unit_tests/core/workflow/nodes/test_if_else.py @@ -11,134 +11,81 @@ from models.workflow import WorkflowNodeExecutionStatus def test_execute_if_else_result_true(): node = IfElseNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", user_from=UserFrom.ACCOUNT, invoke_from=InvokeFrom.DEBUGGER, config={ - 'id': 'if-else', - 'data': { - 'title': '123', - 'type': 'if-else', - 'logical_operator': 'and', - 'conditions': [ + "id": "if-else", + "data": { + "title": "123", + "type": "if-else", + "logical_operator": "and", + "conditions": [ { - 'comparison_operator': 'contains', - 'variable_selector': ['start', 'array_contains'], - 'value': 'ab' + "comparison_operator": "contains", + "variable_selector": ["start", "array_contains"], + "value": "ab", }, { - 'comparison_operator': 'not contains', - 'variable_selector': ['start', 'array_not_contains'], - 'value': 'ab' + "comparison_operator": "not contains", + "variable_selector": ["start", "array_not_contains"], + "value": "ab", }, + {"comparison_operator": "contains", "variable_selector": ["start", "contains"], "value": "ab"}, { - 'comparison_operator': 'contains', - 'variable_selector': ['start', 'contains'], - 'value': 'ab' + "comparison_operator": "not contains", + "variable_selector": ["start", "not_contains"], + "value": "ab", }, + {"comparison_operator": "start with", "variable_selector": ["start", "start_with"], "value": "ab"}, + {"comparison_operator": "end with", "variable_selector": ["start", "end_with"], "value": "ab"}, + {"comparison_operator": "is", "variable_selector": ["start", "is"], "value": "ab"}, + {"comparison_operator": "is not", "variable_selector": ["start", "is_not"], "value": "ab"}, + {"comparison_operator": "empty", "variable_selector": ["start", "empty"], "value": "ab"}, + {"comparison_operator": "not empty", "variable_selector": ["start", "not_empty"], "value": "ab"}, + {"comparison_operator": "=", "variable_selector": ["start", "equals"], "value": "22"}, + {"comparison_operator": "≠", "variable_selector": ["start", "not_equals"], "value": "22"}, + {"comparison_operator": ">", "variable_selector": ["start", "greater_than"], "value": "22"}, + {"comparison_operator": "<", "variable_selector": ["start", "less_than"], "value": "22"}, { - 'comparison_operator': 'not contains', - 'variable_selector': ['start', 'not_contains'], - 'value': 'ab' + "comparison_operator": "≥", + "variable_selector": ["start", "greater_than_or_equal"], + "value": "22", }, - { - 'comparison_operator': 'start with', - 'variable_selector': ['start', 'start_with'], - 'value': 'ab' - }, - { - 'comparison_operator': 'end with', - 'variable_selector': ['start', 'end_with'], - 'value': 'ab' - }, - { - 'comparison_operator': 'is', - 'variable_selector': ['start', 'is'], - 'value': 'ab' - }, - { - 'comparison_operator': 'is not', - 'variable_selector': ['start', 'is_not'], - 'value': 'ab' - }, - { - 'comparison_operator': 'empty', - 'variable_selector': ['start', 'empty'], - 'value': 'ab' - }, - { - 'comparison_operator': 'not empty', - 'variable_selector': ['start', 'not_empty'], - 'value': 'ab' - }, - { - 'comparison_operator': '=', - 'variable_selector': ['start', 'equals'], - 'value': '22' - }, - { - 'comparison_operator': '≠', - 'variable_selector': ['start', 'not_equals'], - 'value': '22' - }, - { - 'comparison_operator': '>', - 'variable_selector': ['start', 'greater_than'], - 'value': '22' - }, - { - 'comparison_operator': '<', - 'variable_selector': ['start', 'less_than'], - 'value': '22' - }, - { - 'comparison_operator': '≥', - 'variable_selector': ['start', 'greater_than_or_equal'], - 'value': '22' - }, - { - 'comparison_operator': '≤', - 'variable_selector': ['start', 'less_than_or_equal'], - 'value': '22' - }, - { - 'comparison_operator': 'null', - 'variable_selector': ['start', 'null'] - }, - { - 'comparison_operator': 'not null', - 'variable_selector': ['start', 'not_null'] - }, - ] - } - } + {"comparison_operator": "≤", "variable_selector": ["start", "less_than_or_equal"], "value": "22"}, + {"comparison_operator": "null", "variable_selector": ["start", "null"]}, + {"comparison_operator": "not null", "variable_selector": ["start", "not_null"]}, + ], + }, + }, ) # construct variable pool - pool = VariablePool(system_variables={ - SystemVariableKey.FILES: [], - SystemVariableKey.USER_ID: 'aaa' - }, user_inputs={}, environment_variables=[]) - pool.add(['start', 'array_contains'], ['ab', 'def']) - pool.add(['start', 'array_not_contains'], ['ac', 'def']) - pool.add(['start', 'contains'], 'cabcde') - pool.add(['start', 'not_contains'], 'zacde') - pool.add(['start', 'start_with'], 'abc') - pool.add(['start', 'end_with'], 'zzab') - pool.add(['start', 'is'], 'ab') - pool.add(['start', 'is_not'], 'aab') - pool.add(['start', 'empty'], '') - pool.add(['start', 'not_empty'], 'aaa') - pool.add(['start', 'equals'], 22) - pool.add(['start', 'not_equals'], 23) - pool.add(['start', 'greater_than'], 23) - pool.add(['start', 'less_than'], 21) - pool.add(['start', 'greater_than_or_equal'], 22) - pool.add(['start', 'less_than_or_equal'], 21) - pool.add(['start', 'not_null'], '1212') + pool = VariablePool( + system_variables={SystemVariableKey.FILES: [], SystemVariableKey.USER_ID: "aaa"}, + user_inputs={}, + environment_variables=[], + ) + pool.add(["start", "array_contains"], ["ab", "def"]) + pool.add(["start", "array_not_contains"], ["ac", "def"]) + pool.add(["start", "contains"], "cabcde") + pool.add(["start", "not_contains"], "zacde") + pool.add(["start", "start_with"], "abc") + pool.add(["start", "end_with"], "zzab") + pool.add(["start", "is"], "ab") + pool.add(["start", "is_not"], "aab") + pool.add(["start", "empty"], "") + pool.add(["start", "not_empty"], "aaa") + pool.add(["start", "equals"], 22) + pool.add(["start", "not_equals"], 23) + pool.add(["start", "greater_than"], 23) + pool.add(["start", "less_than"], 21) + pool.add(["start", "greater_than_or_equal"], 22) + pool.add(["start", "less_than_or_equal"], 21) + pool.add(["start", "not_null"], "1212") # Mock db.session.close() db.session.close = MagicMock() @@ -147,46 +94,47 @@ def test_execute_if_else_result_true(): result = node._run(pool) assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert result.outputs['result'] is True + assert result.outputs["result"] is True def test_execute_if_else_result_false(): node = IfElseNode( - tenant_id='1', - app_id='1', - workflow_id='1', - user_id='1', + tenant_id="1", + app_id="1", + workflow_id="1", + user_id="1", user_from=UserFrom.ACCOUNT, invoke_from=InvokeFrom.DEBUGGER, config={ - 'id': 'if-else', - 'data': { - 'title': '123', - 'type': 'if-else', - 'logical_operator': 'or', - 'conditions': [ + "id": "if-else", + "data": { + "title": "123", + "type": "if-else", + "logical_operator": "or", + "conditions": [ { - 'comparison_operator': 'contains', - 'variable_selector': ['start', 'array_contains'], - 'value': 'ab' + "comparison_operator": "contains", + "variable_selector": ["start", "array_contains"], + "value": "ab", }, { - 'comparison_operator': 'not contains', - 'variable_selector': ['start', 'array_not_contains'], - 'value': 'ab' - } - ] - } - } + "comparison_operator": "not contains", + "variable_selector": ["start", "array_not_contains"], + "value": "ab", + }, + ], + }, + }, ) # construct variable pool - pool = VariablePool(system_variables={ - SystemVariableKey.FILES: [], - SystemVariableKey.USER_ID: 'aaa' - }, user_inputs={}, environment_variables=[]) - pool.add(['start', 'array_contains'], ['1ab', 'def']) - pool.add(['start', 'array_not_contains'], ['ab', 'def']) + pool = VariablePool( + system_variables={SystemVariableKey.FILES: [], SystemVariableKey.USER_ID: "aaa"}, + user_inputs={}, + environment_variables=[], + ) + pool.add(["start", "array_contains"], ["1ab", "def"]) + pool.add(["start", "array_not_contains"], ["ab", "def"]) # Mock db.session.close() db.session.close = MagicMock() @@ -195,4 +143,4 @@ def test_execute_if_else_result_false(): result = node._run(pool) assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert result.outputs['result'] is False + assert result.outputs["result"] is False diff --git a/api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py b/api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py index 5df8c1b763..e26c7df642 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py +++ b/api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py @@ -8,41 +8,41 @@ from core.workflow.enums import SystemVariableKey from core.workflow.nodes.base_node import UserFrom from core.workflow.nodes.variable_assigner import VariableAssignerNode, WriteMode -DEFAULT_NODE_ID = 'node_id' +DEFAULT_NODE_ID = "node_id" def test_overwrite_string_variable(): conversation_variable = StringVariable( id=str(uuid4()), - name='test_conversation_variable', - value='the first value', + name="test_conversation_variable", + value="the first value", ) input_variable = StringVariable( id=str(uuid4()), - name='test_string_variable', - value='the second value', + name="test_string_variable", + value="the second value", ) node = VariableAssignerNode( - tenant_id='tenant_id', - app_id='app_id', - workflow_id='workflow_id', - user_id='user_id', + tenant_id="tenant_id", + app_id="app_id", + workflow_id="workflow_id", + user_id="user_id", user_from=UserFrom.ACCOUNT, invoke_from=InvokeFrom.DEBUGGER, config={ - 'id': 'node_id', - 'data': { - 'assigned_variable_selector': ['conversation', conversation_variable.name], - 'write_mode': WriteMode.OVER_WRITE.value, - 'input_variable_selector': [DEFAULT_NODE_ID, input_variable.name], + "id": "node_id", + "data": { + "assigned_variable_selector": ["conversation", conversation_variable.name], + "write_mode": WriteMode.OVER_WRITE.value, + "input_variable_selector": [DEFAULT_NODE_ID, input_variable.name], }, }, ) variable_pool = VariablePool( - system_variables={SystemVariableKey.CONVERSATION_ID: 'conversation_id'}, + system_variables={SystemVariableKey.CONVERSATION_ID: "conversation_id"}, user_inputs={}, environment_variables=[], conversation_variables=[conversation_variable], @@ -52,48 +52,48 @@ def test_overwrite_string_variable(): input_variable, ) - with mock.patch('core.workflow.nodes.variable_assigner.node.update_conversation_variable') as mock_run: + with mock.patch("core.workflow.nodes.variable_assigner.node.update_conversation_variable") as mock_run: node.run(variable_pool) mock_run.assert_called_once() - got = variable_pool.get(['conversation', conversation_variable.name]) + got = variable_pool.get(["conversation", conversation_variable.name]) assert got is not None - assert got.value == 'the second value' - assert got.to_object() == 'the second value' + assert got.value == "the second value" + assert got.to_object() == "the second value" def test_append_variable_to_array(): conversation_variable = ArrayStringVariable( id=str(uuid4()), - name='test_conversation_variable', - value=['the first value'], + name="test_conversation_variable", + value=["the first value"], ) input_variable = StringVariable( id=str(uuid4()), - name='test_string_variable', - value='the second value', + name="test_string_variable", + value="the second value", ) node = VariableAssignerNode( - tenant_id='tenant_id', - app_id='app_id', - workflow_id='workflow_id', - user_id='user_id', + tenant_id="tenant_id", + app_id="app_id", + workflow_id="workflow_id", + user_id="user_id", user_from=UserFrom.ACCOUNT, invoke_from=InvokeFrom.DEBUGGER, config={ - 'id': 'node_id', - 'data': { - 'assigned_variable_selector': ['conversation', conversation_variable.name], - 'write_mode': WriteMode.APPEND.value, - 'input_variable_selector': [DEFAULT_NODE_ID, input_variable.name], + "id": "node_id", + "data": { + "assigned_variable_selector": ["conversation", conversation_variable.name], + "write_mode": WriteMode.APPEND.value, + "input_variable_selector": [DEFAULT_NODE_ID, input_variable.name], }, }, ) variable_pool = VariablePool( - system_variables={SystemVariableKey.CONVERSATION_ID: 'conversation_id'}, + system_variables={SystemVariableKey.CONVERSATION_ID: "conversation_id"}, user_inputs={}, environment_variables=[], conversation_variables=[conversation_variable], @@ -103,41 +103,41 @@ def test_append_variable_to_array(): input_variable, ) - with mock.patch('core.workflow.nodes.variable_assigner.node.update_conversation_variable') as mock_run: + with mock.patch("core.workflow.nodes.variable_assigner.node.update_conversation_variable") as mock_run: node.run(variable_pool) mock_run.assert_called_once() - got = variable_pool.get(['conversation', conversation_variable.name]) + got = variable_pool.get(["conversation", conversation_variable.name]) assert got is not None - assert got.to_object() == ['the first value', 'the second value'] + assert got.to_object() == ["the first value", "the second value"] def test_clear_array(): conversation_variable = ArrayStringVariable( id=str(uuid4()), - name='test_conversation_variable', - value=['the first value'], + name="test_conversation_variable", + value=["the first value"], ) node = VariableAssignerNode( - tenant_id='tenant_id', - app_id='app_id', - workflow_id='workflow_id', - user_id='user_id', + tenant_id="tenant_id", + app_id="app_id", + workflow_id="workflow_id", + user_id="user_id", user_from=UserFrom.ACCOUNT, invoke_from=InvokeFrom.DEBUGGER, config={ - 'id': 'node_id', - 'data': { - 'assigned_variable_selector': ['conversation', conversation_variable.name], - 'write_mode': WriteMode.CLEAR.value, - 'input_variable_selector': [], + "id": "node_id", + "data": { + "assigned_variable_selector": ["conversation", conversation_variable.name], + "write_mode": WriteMode.CLEAR.value, + "input_variable_selector": [], }, }, ) variable_pool = VariablePool( - system_variables={SystemVariableKey.CONVERSATION_ID: 'conversation_id'}, + system_variables={SystemVariableKey.CONVERSATION_ID: "conversation_id"}, user_inputs={}, environment_variables=[], conversation_variables=[conversation_variable], @@ -145,6 +145,6 @@ def test_clear_array(): node.run(variable_pool) - got = variable_pool.get(['conversation', conversation_variable.name]) + got = variable_pool.get(["conversation", conversation_variable.name]) assert got is not None assert got.to_object() == [] diff --git a/api/tests/unit_tests/libs/test_pandas.py b/api/tests/unit_tests/libs/test_pandas.py index bbc372ed61..21c2f0781d 100644 --- a/api/tests/unit_tests/libs/test_pandas.py +++ b/api/tests/unit_tests/libs/test_pandas.py @@ -3,50 +3,46 @@ import pandas as pd def test_pandas_csv(tmp_path, monkeypatch): monkeypatch.chdir(tmp_path) - data = {'col1': [1, 2.2, -3.3, 4.0, 5], - 'col2': ['A', 'B', 'C', 'D', 'E']} + data = {"col1": [1, 2.2, -3.3, 4.0, 5], "col2": ["A", "B", "C", "D", "E"]} df1 = pd.DataFrame(data) # write to csv file - csv_file_path = tmp_path.joinpath('example.csv') + csv_file_path = tmp_path.joinpath("example.csv") df1.to_csv(csv_file_path, index=False) # read from csv file - df2 = pd.read_csv(csv_file_path, on_bad_lines='skip') - assert df2[df2.columns[0]].to_list() == data['col1'] - assert df2[df2.columns[1]].to_list() == data['col2'] + df2 = pd.read_csv(csv_file_path, on_bad_lines="skip") + assert df2[df2.columns[0]].to_list() == data["col1"] + assert df2[df2.columns[1]].to_list() == data["col2"] def test_pandas_xlsx(tmp_path, monkeypatch): monkeypatch.chdir(tmp_path) - data = {'col1': [1, 2.2, -3.3, 4.0, 5], - 'col2': ['A', 'B', 'C', 'D', 'E']} + data = {"col1": [1, 2.2, -3.3, 4.0, 5], "col2": ["A", "B", "C", "D", "E"]} df1 = pd.DataFrame(data) # write to xlsx file - xlsx_file_path = tmp_path.joinpath('example.xlsx') + xlsx_file_path = tmp_path.joinpath("example.xlsx") df1.to_excel(xlsx_file_path, index=False) # read from xlsx file df2 = pd.read_excel(xlsx_file_path) - assert df2[df2.columns[0]].to_list() == data['col1'] - assert df2[df2.columns[1]].to_list() == data['col2'] + assert df2[df2.columns[0]].to_list() == data["col1"] + assert df2[df2.columns[1]].to_list() == data["col2"] def test_pandas_xlsx_with_sheets(tmp_path, monkeypatch): monkeypatch.chdir(tmp_path) - data1 = {'col1': [1, 2, 3, 4, 5], - 'col2': ['A', 'B', 'C', 'D', 'E']} + data1 = {"col1": [1, 2, 3, 4, 5], "col2": ["A", "B", "C", "D", "E"]} df1 = pd.DataFrame(data1) - data2 = {'col1': [6, 7, 8, 9, 10], - 'col2': ['F', 'G', 'H', 'I', 'J']} + data2 = {"col1": [6, 7, 8, 9, 10], "col2": ["F", "G", "H", "I", "J"]} df2 = pd.DataFrame(data2) # write to xlsx file with sheets - xlsx_file_path = tmp_path.joinpath('example_with_sheets.xlsx') - sheet1 = 'Sheet1' - sheet2 = 'Sheet2' + xlsx_file_path = tmp_path.joinpath("example_with_sheets.xlsx") + sheet1 = "Sheet1" + sheet2 = "Sheet2" with pd.ExcelWriter(xlsx_file_path) as excel_writer: df1.to_excel(excel_writer, sheet_name=sheet1, index=False) df2.to_excel(excel_writer, sheet_name=sheet2, index=False) @@ -54,9 +50,9 @@ def test_pandas_xlsx_with_sheets(tmp_path, monkeypatch): # read from xlsx file with sheets with pd.ExcelFile(xlsx_file_path) as excel_file: df1 = pd.read_excel(excel_file, sheet_name=sheet1) - assert df1[df1.columns[0]].to_list() == data1['col1'] - assert df1[df1.columns[1]].to_list() == data1['col2'] + assert df1[df1.columns[0]].to_list() == data1["col1"] + assert df1[df1.columns[1]].to_list() == data1["col2"] df2 = pd.read_excel(excel_file, sheet_name=sheet2) - assert df2[df2.columns[0]].to_list() == data2['col1'] - assert df2[df2.columns[1]].to_list() == data2['col2'] + assert df2[df2.columns[0]].to_list() == data2["col1"] + assert df2[df2.columns[1]].to_list() == data2["col2"] diff --git a/api/tests/unit_tests/libs/test_rsa.py b/api/tests/unit_tests/libs/test_rsa.py index a979b77d70..2dc51252f0 100644 --- a/api/tests/unit_tests/libs/test_rsa.py +++ b/api/tests/unit_tests/libs/test_rsa.py @@ -15,7 +15,7 @@ def test_gmpy2_pkcs10aep_cipher() -> None: private_rsa_key = RSA.import_key(private_key) private_cipher_rsa = gmpy2_pkcs10aep_cipher.new(private_rsa_key) - raw_text = 'raw_text' + raw_text = "raw_text" raw_text_bytes = raw_text.encode() # RSA encryption by public key and decryption by private key diff --git a/api/tests/unit_tests/libs/test_yarl.py b/api/tests/unit_tests/libs/test_yarl.py index 75a5344126..b9aee4af5f 100644 --- a/api/tests/unit_tests/libs/test_yarl.py +++ b/api/tests/unit_tests/libs/test_yarl.py @@ -3,21 +3,21 @@ from yarl import URL def test_yarl_urls(): - expected_1 = 'https://dify.ai/api' - assert str(URL('https://dify.ai') / 'api') == expected_1 - assert str(URL('https://dify.ai/') / 'api') == expected_1 + expected_1 = "https://dify.ai/api" + assert str(URL("https://dify.ai") / "api") == expected_1 + assert str(URL("https://dify.ai/") / "api") == expected_1 - expected_2 = 'http://dify.ai:12345/api' - assert str(URL('http://dify.ai:12345') / 'api') == expected_2 - assert str(URL('http://dify.ai:12345/') / 'api') == expected_2 + expected_2 = "http://dify.ai:12345/api" + assert str(URL("http://dify.ai:12345") / "api") == expected_2 + assert str(URL("http://dify.ai:12345/") / "api") == expected_2 - expected_3 = 'https://dify.ai/api/v1' - assert str(URL('https://dify.ai') / 'api' / 'v1') == expected_3 - assert str(URL('https://dify.ai') / 'api/v1') == expected_3 - assert str(URL('https://dify.ai/') / 'api/v1') == expected_3 - assert str(URL('https://dify.ai/api') / 'v1') == expected_3 - assert str(URL('https://dify.ai/api/') / 'v1') == expected_3 + expected_3 = "https://dify.ai/api/v1" + assert str(URL("https://dify.ai") / "api" / "v1") == expected_3 + assert str(URL("https://dify.ai") / "api/v1") == expected_3 + assert str(URL("https://dify.ai/") / "api/v1") == expected_3 + assert str(URL("https://dify.ai/api") / "v1") == expected_3 + assert str(URL("https://dify.ai/api/") / "v1") == expected_3 with pytest.raises(ValueError) as e1: - str(URL('https://dify.ai') / '/api') + str(URL("https://dify.ai") / "/api") assert str(e1.value) == "Appending path '/api' starting from slash is forbidden" diff --git a/api/tests/unit_tests/models/test_account.py b/api/tests/unit_tests/models/test_account.py index 006b99fb7d..026912ffbe 100644 --- a/api/tests/unit_tests/models/test_account.py +++ b/api/tests/unit_tests/models/test_account.py @@ -2,13 +2,13 @@ from models.account import TenantAccountRole def test_account_is_privileged_role() -> None: - assert TenantAccountRole.ADMIN == 'admin' - assert TenantAccountRole.OWNER == 'owner' - assert TenantAccountRole.EDITOR == 'editor' - assert TenantAccountRole.NORMAL == 'normal' + assert TenantAccountRole.ADMIN == "admin" + assert TenantAccountRole.OWNER == "owner" + assert TenantAccountRole.EDITOR == "editor" + assert TenantAccountRole.NORMAL == "normal" assert TenantAccountRole.is_privileged_role(TenantAccountRole.ADMIN) assert TenantAccountRole.is_privileged_role(TenantAccountRole.OWNER) assert not TenantAccountRole.is_privileged_role(TenantAccountRole.NORMAL) assert not TenantAccountRole.is_privileged_role(TenantAccountRole.EDITOR) - assert not TenantAccountRole.is_privileged_role('') + assert not TenantAccountRole.is_privileged_role("") diff --git a/api/tests/unit_tests/models/test_conversation_variable.py b/api/tests/unit_tests/models/test_conversation_variable.py index 9e16010d7e..7968347dec 100644 --- a/api/tests/unit_tests/models/test_conversation_variable.py +++ b/api/tests/unit_tests/models/test_conversation_variable.py @@ -7,19 +7,19 @@ from models import ConversationVariable def test_from_variable_and_to_variable(): variable = factory.build_variable_from_mapping( { - 'id': str(uuid4()), - 'name': 'name', - 'value_type': SegmentType.OBJECT, - 'value': { - 'key': { - 'key': 'value', + "id": str(uuid4()), + "name": "name", + "value_type": SegmentType.OBJECT, + "value": { + "key": { + "key": "value", } }, } ) conversation_variable = ConversationVariable.from_variable( - app_id='app_id', conversation_id='conversation_id', variable=variable + app_id="app_id", conversation_id="conversation_id", variable=variable ) assert conversation_variable.to_variable() == variable diff --git a/api/tests/unit_tests/models/test_workflow.py b/api/tests/unit_tests/models/test_workflow.py index bea896b83a..40483d7e3a 100644 --- a/api/tests/unit_tests/models/test_workflow.py +++ b/api/tests/unit_tests/models/test_workflow.py @@ -8,30 +8,30 @@ from models.workflow import Workflow def test_environment_variables(): - contexts.tenant_id.set('tenant_id') + contexts.tenant_id.set("tenant_id") # Create a Workflow instance workflow = Workflow( - tenant_id='tenant_id', - app_id='app_id', - type='workflow', - version='draft', - graph='{}', - features='{}', - created_by='account_id', + tenant_id="tenant_id", + app_id="app_id", + type="workflow", + version="draft", + graph="{}", + features="{}", + created_by="account_id", environment_variables=[], conversation_variables=[], ) # Create some EnvironmentVariable instances - variable1 = StringVariable.model_validate({'name': 'var1', 'value': 'value1', 'id': str(uuid4())}) - variable2 = IntegerVariable.model_validate({'name': 'var2', 'value': 123, 'id': str(uuid4())}) - variable3 = SecretVariable.model_validate({'name': 'var3', 'value': 'secret', 'id': str(uuid4())}) - variable4 = FloatVariable.model_validate({'name': 'var4', 'value': 3.14, 'id': str(uuid4())}) + variable1 = StringVariable.model_validate({"name": "var1", "value": "value1", "id": str(uuid4())}) + variable2 = IntegerVariable.model_validate({"name": "var2", "value": 123, "id": str(uuid4())}) + variable3 = SecretVariable.model_validate({"name": "var3", "value": "secret", "id": str(uuid4())}) + variable4 = FloatVariable.model_validate({"name": "var4", "value": 3.14, "id": str(uuid4())}) with ( - mock.patch('core.helper.encrypter.encrypt_token', return_value='encrypted_token'), - mock.patch('core.helper.encrypter.decrypt_token', return_value='secret'), + mock.patch("core.helper.encrypter.encrypt_token", return_value="encrypted_token"), + mock.patch("core.helper.encrypter.decrypt_token", return_value="secret"), ): # Set the environment_variables property of the Workflow instance variables = [variable1, variable2, variable3, variable4] @@ -42,30 +42,30 @@ def test_environment_variables(): def test_update_environment_variables(): - contexts.tenant_id.set('tenant_id') + contexts.tenant_id.set("tenant_id") # Create a Workflow instance workflow = Workflow( - tenant_id='tenant_id', - app_id='app_id', - type='workflow', - version='draft', - graph='{}', - features='{}', - created_by='account_id', + tenant_id="tenant_id", + app_id="app_id", + type="workflow", + version="draft", + graph="{}", + features="{}", + created_by="account_id", environment_variables=[], conversation_variables=[], ) # Create some EnvironmentVariable instances - variable1 = StringVariable.model_validate({'name': 'var1', 'value': 'value1', 'id': str(uuid4())}) - variable2 = IntegerVariable.model_validate({'name': 'var2', 'value': 123, 'id': str(uuid4())}) - variable3 = SecretVariable.model_validate({'name': 'var3', 'value': 'secret', 'id': str(uuid4())}) - variable4 = FloatVariable.model_validate({'name': 'var4', 'value': 3.14, 'id': str(uuid4())}) + variable1 = StringVariable.model_validate({"name": "var1", "value": "value1", "id": str(uuid4())}) + variable2 = IntegerVariable.model_validate({"name": "var2", "value": 123, "id": str(uuid4())}) + variable3 = SecretVariable.model_validate({"name": "var3", "value": "secret", "id": str(uuid4())}) + variable4 = FloatVariable.model_validate({"name": "var4", "value": 3.14, "id": str(uuid4())}) with ( - mock.patch('core.helper.encrypter.encrypt_token', return_value='encrypted_token'), - mock.patch('core.helper.encrypter.decrypt_token', return_value='secret'), + mock.patch("core.helper.encrypter.encrypt_token", return_value="encrypted_token"), + mock.patch("core.helper.encrypter.decrypt_token", return_value="secret"), ): variables = [variable1, variable2, variable3, variable4] @@ -76,28 +76,28 @@ def test_update_environment_variables(): # Update the name of variable3 and keep the value as it is variables[2] = variable3.model_copy( update={ - 'name': 'new name', - 'value': HIDDEN_VALUE, + "name": "new name", + "value": HIDDEN_VALUE, } ) workflow.environment_variables = variables - assert workflow.environment_variables[2].name == 'new name' + assert workflow.environment_variables[2].name == "new name" assert workflow.environment_variables[2].value == variable3.value def test_to_dict(): - contexts.tenant_id.set('tenant_id') + contexts.tenant_id.set("tenant_id") # Create a Workflow instance workflow = Workflow( - tenant_id='tenant_id', - app_id='app_id', - type='workflow', - version='draft', - graph='{}', - features='{}', - created_by='account_id', + tenant_id="tenant_id", + app_id="app_id", + type="workflow", + version="draft", + graph="{}", + features="{}", + created_by="account_id", environment_variables=[], conversation_variables=[], ) @@ -105,19 +105,19 @@ def test_to_dict(): # Create some EnvironmentVariable instances with ( - mock.patch('core.helper.encrypter.encrypt_token', return_value='encrypted_token'), - mock.patch('core.helper.encrypter.decrypt_token', return_value='secret'), + mock.patch("core.helper.encrypter.encrypt_token", return_value="encrypted_token"), + mock.patch("core.helper.encrypter.decrypt_token", return_value="secret"), ): # Set the environment_variables property of the Workflow instance workflow.environment_variables = [ - SecretVariable.model_validate({'name': 'secret', 'value': 'secret', 'id': str(uuid4())}), - StringVariable.model_validate({'name': 'text', 'value': 'text', 'id': str(uuid4())}), + SecretVariable.model_validate({"name": "secret", "value": "secret", "id": str(uuid4())}), + StringVariable.model_validate({"name": "text", "value": "text", "id": str(uuid4())}), ] workflow_dict = workflow.to_dict() - assert workflow_dict['environment_variables'][0]['value'] == '' - assert workflow_dict['environment_variables'][1]['value'] == 'text' + assert workflow_dict["environment_variables"][0]["value"] == "" + assert workflow_dict["environment_variables"][1]["value"] == "text" workflow_dict = workflow.to_dict(include_secret=True) - assert workflow_dict['environment_variables'][0]['value'] == 'secret' - assert workflow_dict['environment_variables'][1]['value'] == 'text' + assert workflow_dict["environment_variables"][0]["value"] == "secret" + assert workflow_dict["environment_variables"][1]["value"] == "text" diff --git a/api/tests/unit_tests/services/workflow/test_workflow_converter.py b/api/tests/unit_tests/services/workflow/test_workflow_converter.py index a45423bf39..805d92dfc9 100644 --- a/api/tests/unit_tests/services/workflow/test_workflow_converter.py +++ b/api/tests/unit_tests/services/workflow/test_workflow_converter.py @@ -83,18 +83,12 @@ def test__convert_to_http_request_node_for_chatbot(default_variables): external_data_variables = [ ExternalDataVariableEntity( - variable="external_variable", - type="api", - config={ - "api_based_extension_id": api_based_extension_id - } + variable="external_variable", type="api", config={"api_based_extension_id": api_based_extension_id} ) ] nodes, _ = workflow_converter._convert_to_http_request_node( - app_model=app_model, - variables=default_variables, - external_data_variables=external_data_variables + app_model=app_model, variables=default_variables, external_data_variables=external_data_variables ) assert len(nodes) == 2 @@ -105,10 +99,7 @@ def test__convert_to_http_request_node_for_chatbot(default_variables): assert http_request_node["data"]["method"] == "post" assert http_request_node["data"]["url"] == mock_api_based_extension.api_endpoint assert http_request_node["data"]["authorization"]["type"] == "api-key" - assert http_request_node["data"]["authorization"]["config"] == { - "type": "bearer", - "api_key": "api_key" - } + assert http_request_node["data"]["authorization"]["config"] == {"type": "bearer", "api_key": "api_key"} assert http_request_node["data"]["body"]["type"] == "json" body_data = http_request_node["data"]["body"]["data"] @@ -153,18 +144,12 @@ def test__convert_to_http_request_node_for_workflow_app(default_variables): external_data_variables = [ ExternalDataVariableEntity( - variable="external_variable", - type="api", - config={ - "api_based_extension_id": api_based_extension_id - } + variable="external_variable", type="api", config={"api_based_extension_id": api_based_extension_id} ) ] nodes, _ = workflow_converter._convert_to_http_request_node( - app_model=app_model, - variables=default_variables, - external_data_variables=external_data_variables + app_model=app_model, variables=default_variables, external_data_variables=external_data_variables ) assert len(nodes) == 2 @@ -175,10 +160,7 @@ def test__convert_to_http_request_node_for_workflow_app(default_variables): assert http_request_node["data"]["method"] == "post" assert http_request_node["data"]["url"] == mock_api_based_extension.api_endpoint assert http_request_node["data"]["authorization"]["type"] == "api-key" - assert http_request_node["data"]["authorization"]["config"] == { - "type": "bearer", - "api_key": "api_key" - } + assert http_request_node["data"]["authorization"]["config"] == {"type": "bearer", "api_key": "api_key"} assert http_request_node["data"]["body"]["type"] == "json" body_data = http_request_node["data"]["body"]["data"] @@ -207,37 +189,25 @@ def test__convert_to_knowledge_retrieval_node_for_chatbot(): retrieve_strategy=DatasetRetrieveConfigEntity.RetrieveStrategy.MULTIPLE, top_k=5, score_threshold=0.8, - reranking_model={ - 'reranking_provider_name': 'cohere', - 'reranking_model_name': 'rerank-english-v2.0' - }, - reranking_enabled=True - ) + reranking_model={"reranking_provider_name": "cohere", "reranking_model_name": "rerank-english-v2.0"}, + reranking_enabled=True, + ), ) - model_config = ModelConfigEntity( - provider='openai', - model='gpt-4', - mode='chat', - parameters={}, - stop=[] - ) + model_config = ModelConfigEntity(provider="openai", model="gpt-4", mode="chat", parameters={}, stop=[]) node = WorkflowConverter()._convert_to_knowledge_retrieval_node( - new_app_mode=new_app_mode, - dataset_config=dataset_config, - model_config=model_config + new_app_mode=new_app_mode, dataset_config=dataset_config, model_config=model_config ) assert node["data"]["type"] == "knowledge-retrieval" assert node["data"]["query_variable_selector"] == ["sys", "query"] assert node["data"]["dataset_ids"] == dataset_config.dataset_ids - assert (node["data"]["retrieval_mode"] - == dataset_config.retrieve_config.retrieve_strategy.value) + assert node["data"]["retrieval_mode"] == dataset_config.retrieve_config.retrieve_strategy.value assert node["data"]["multiple_retrieval_config"] == { "top_k": dataset_config.retrieve_config.top_k, "score_threshold": dataset_config.retrieve_config.score_threshold, - "reranking_model": dataset_config.retrieve_config.reranking_model + "reranking_model": dataset_config.retrieve_config.reranking_model, } @@ -251,37 +221,25 @@ def test__convert_to_knowledge_retrieval_node_for_workflow_app(): retrieve_strategy=DatasetRetrieveConfigEntity.RetrieveStrategy.MULTIPLE, top_k=5, score_threshold=0.8, - reranking_model={ - 'reranking_provider_name': 'cohere', - 'reranking_model_name': 'rerank-english-v2.0' - }, - reranking_enabled=True - ) + reranking_model={"reranking_provider_name": "cohere", "reranking_model_name": "rerank-english-v2.0"}, + reranking_enabled=True, + ), ) - model_config = ModelConfigEntity( - provider='openai', - model='gpt-4', - mode='chat', - parameters={}, - stop=[] - ) + model_config = ModelConfigEntity(provider="openai", model="gpt-4", mode="chat", parameters={}, stop=[]) node = WorkflowConverter()._convert_to_knowledge_retrieval_node( - new_app_mode=new_app_mode, - dataset_config=dataset_config, - model_config=model_config + new_app_mode=new_app_mode, dataset_config=dataset_config, model_config=model_config ) assert node["data"]["type"] == "knowledge-retrieval" assert node["data"]["query_variable_selector"] == ["start", dataset_config.retrieve_config.query_variable] assert node["data"]["dataset_ids"] == dataset_config.dataset_ids - assert (node["data"]["retrieval_mode"] - == dataset_config.retrieve_config.retrieve_strategy.value) + assert node["data"]["retrieval_mode"] == dataset_config.retrieve_config.retrieve_strategy.value assert node["data"]["multiple_retrieval_config"] == { "top_k": dataset_config.retrieve_config.top_k, "score_threshold": dataset_config.retrieve_config.score_threshold, - "reranking_model": dataset_config.retrieve_config.reranking_model + "reranking_model": dataset_config.retrieve_config.reranking_model, } @@ -293,14 +251,12 @@ def test__convert_to_llm_node_for_chatbot_simple_chat_model(default_variables): workflow_converter = WorkflowConverter() start_node = workflow_converter._convert_to_start_node(default_variables) graph = { - "nodes": [ - start_node - ], - "edges": [] # no need + "nodes": [start_node], + "edges": [], # no need } model_config_mock = MagicMock(spec=ModelConfigEntity) - model_config_mock.provider = 'openai' + model_config_mock.provider = "openai" model_config_mock.model = model model_config_mock.mode = model_mode.value model_config_mock.parameters = {} @@ -308,7 +264,7 @@ def test__convert_to_llm_node_for_chatbot_simple_chat_model(default_variables): prompt_template = PromptTemplateEntity( prompt_type=PromptTemplateEntity.PromptType.SIMPLE, - simple_prompt_template="You are a helpful assistant {{text_input}}, {{paragraph}}, {{select}}." + simple_prompt_template="You are a helpful assistant {{text_input}}, {{paragraph}}, {{select}}.", ) llm_node = workflow_converter._convert_to_llm_node( @@ -316,17 +272,17 @@ def test__convert_to_llm_node_for_chatbot_simple_chat_model(default_variables): new_app_mode=new_app_mode, model_config=model_config_mock, graph=graph, - prompt_template=prompt_template + prompt_template=prompt_template, ) assert llm_node["data"]["type"] == "llm" - assert llm_node["data"]["model"]['name'] == model - assert llm_node["data"]['model']["mode"] == model_mode.value + assert llm_node["data"]["model"]["name"] == model + assert llm_node["data"]["model"]["mode"] == model_mode.value template = prompt_template.simple_prompt_template for v in default_variables: - template = template.replace('{{' + v.variable + '}}', '{{#start.' + v.variable + '#}}') - assert llm_node["data"]["prompt_template"][0]['text'] == template + '\n' - assert llm_node["data"]['context']['enabled'] is False + template = template.replace("{{" + v.variable + "}}", "{{#start." + v.variable + "#}}") + assert llm_node["data"]["prompt_template"][0]["text"] == template + "\n" + assert llm_node["data"]["context"]["enabled"] is False def test__convert_to_llm_node_for_chatbot_simple_completion_model(default_variables): @@ -337,14 +293,12 @@ def test__convert_to_llm_node_for_chatbot_simple_completion_model(default_variab workflow_converter = WorkflowConverter() start_node = workflow_converter._convert_to_start_node(default_variables) graph = { - "nodes": [ - start_node - ], - "edges": [] # no need + "nodes": [start_node], + "edges": [], # no need } model_config_mock = MagicMock(spec=ModelConfigEntity) - model_config_mock.provider = 'openai' + model_config_mock.provider = "openai" model_config_mock.model = model model_config_mock.mode = model_mode.value model_config_mock.parameters = {} @@ -352,7 +306,7 @@ def test__convert_to_llm_node_for_chatbot_simple_completion_model(default_variab prompt_template = PromptTemplateEntity( prompt_type=PromptTemplateEntity.PromptType.SIMPLE, - simple_prompt_template="You are a helpful assistant {{text_input}}, {{paragraph}}, {{select}}." + simple_prompt_template="You are a helpful assistant {{text_input}}, {{paragraph}}, {{select}}.", ) llm_node = workflow_converter._convert_to_llm_node( @@ -360,17 +314,17 @@ def test__convert_to_llm_node_for_chatbot_simple_completion_model(default_variab new_app_mode=new_app_mode, model_config=model_config_mock, graph=graph, - prompt_template=prompt_template + prompt_template=prompt_template, ) assert llm_node["data"]["type"] == "llm" - assert llm_node["data"]["model"]['name'] == model - assert llm_node["data"]['model']["mode"] == model_mode.value + assert llm_node["data"]["model"]["name"] == model + assert llm_node["data"]["model"]["mode"] == model_mode.value template = prompt_template.simple_prompt_template for v in default_variables: - template = template.replace('{{' + v.variable + '}}', '{{#start.' + v.variable + '#}}') - assert llm_node["data"]["prompt_template"]['text'] == template + '\n' - assert llm_node["data"]['context']['enabled'] is False + template = template.replace("{{" + v.variable + "}}", "{{#start." + v.variable + "#}}") + assert llm_node["data"]["prompt_template"]["text"] == template + "\n" + assert llm_node["data"]["context"]["enabled"] is False def test__convert_to_llm_node_for_chatbot_advanced_chat_model(default_variables): @@ -381,14 +335,12 @@ def test__convert_to_llm_node_for_chatbot_advanced_chat_model(default_variables) workflow_converter = WorkflowConverter() start_node = workflow_converter._convert_to_start_node(default_variables) graph = { - "nodes": [ - start_node - ], - "edges": [] # no need + "nodes": [start_node], + "edges": [], # no need } model_config_mock = MagicMock(spec=ModelConfigEntity) - model_config_mock.provider = 'openai' + model_config_mock.provider = "openai" model_config_mock.model = model model_config_mock.mode = model_mode.value model_config_mock.parameters = {} @@ -396,12 +348,16 @@ def test__convert_to_llm_node_for_chatbot_advanced_chat_model(default_variables) prompt_template = PromptTemplateEntity( prompt_type=PromptTemplateEntity.PromptType.ADVANCED, - advanced_chat_prompt_template=AdvancedChatPromptTemplateEntity(messages=[ - AdvancedChatMessageEntity(text="You are a helpful assistant named {{name}}.\n\nContext:\n{{#context#}}", - role=PromptMessageRole.SYSTEM), - AdvancedChatMessageEntity(text="Hi.", role=PromptMessageRole.USER), - AdvancedChatMessageEntity(text="Hello!", role=PromptMessageRole.ASSISTANT), - ]) + advanced_chat_prompt_template=AdvancedChatPromptTemplateEntity( + messages=[ + AdvancedChatMessageEntity( + text="You are a helpful assistant named {{name}}.\n\nContext:\n{{#context#}}", + role=PromptMessageRole.SYSTEM, + ), + AdvancedChatMessageEntity(text="Hi.", role=PromptMessageRole.USER), + AdvancedChatMessageEntity(text="Hello!", role=PromptMessageRole.ASSISTANT), + ] + ), ) llm_node = workflow_converter._convert_to_llm_node( @@ -409,18 +365,18 @@ def test__convert_to_llm_node_for_chatbot_advanced_chat_model(default_variables) new_app_mode=new_app_mode, model_config=model_config_mock, graph=graph, - prompt_template=prompt_template + prompt_template=prompt_template, ) assert llm_node["data"]["type"] == "llm" - assert llm_node["data"]["model"]['name'] == model - assert llm_node["data"]['model']["mode"] == model_mode.value + assert llm_node["data"]["model"]["name"] == model + assert llm_node["data"]["model"]["mode"] == model_mode.value assert isinstance(llm_node["data"]["prompt_template"], list) assert len(llm_node["data"]["prompt_template"]) == len(prompt_template.advanced_chat_prompt_template.messages) template = prompt_template.advanced_chat_prompt_template.messages[0].text for v in default_variables: - template = template.replace('{{' + v.variable + '}}', '{{#start.' + v.variable + '#}}') - assert llm_node["data"]["prompt_template"][0]['text'] == template + template = template.replace("{{" + v.variable + "}}", "{{#start." + v.variable + "#}}") + assert llm_node["data"]["prompt_template"][0]["text"] == template def test__convert_to_llm_node_for_workflow_advanced_completion_model(default_variables): @@ -431,14 +387,12 @@ def test__convert_to_llm_node_for_workflow_advanced_completion_model(default_var workflow_converter = WorkflowConverter() start_node = workflow_converter._convert_to_start_node(default_variables) graph = { - "nodes": [ - start_node - ], - "edges": [] # no need + "nodes": [start_node], + "edges": [], # no need } model_config_mock = MagicMock(spec=ModelConfigEntity) - model_config_mock.provider = 'openai' + model_config_mock.provider = "openai" model_config_mock.model = model model_config_mock.mode = model_mode.value model_config_mock.parameters = {} @@ -448,12 +402,9 @@ def test__convert_to_llm_node_for_workflow_advanced_completion_model(default_var prompt_type=PromptTemplateEntity.PromptType.ADVANCED, advanced_completion_prompt_template=AdvancedCompletionPromptTemplateEntity( prompt="You are a helpful assistant named {{name}}.\n\nContext:\n{{#context#}}\n\n" - "Human: hi\nAssistant: ", - role_prefix=AdvancedCompletionPromptTemplateEntity.RolePrefixEntity( - user="Human", - assistant="Assistant" - ) - ) + "Human: hi\nAssistant: ", + role_prefix=AdvancedCompletionPromptTemplateEntity.RolePrefixEntity(user="Human", assistant="Assistant"), + ), ) llm_node = workflow_converter._convert_to_llm_node( @@ -461,14 +412,14 @@ def test__convert_to_llm_node_for_workflow_advanced_completion_model(default_var new_app_mode=new_app_mode, model_config=model_config_mock, graph=graph, - prompt_template=prompt_template + prompt_template=prompt_template, ) assert llm_node["data"]["type"] == "llm" - assert llm_node["data"]["model"]['name'] == model - assert llm_node["data"]['model']["mode"] == model_mode.value + assert llm_node["data"]["model"]["name"] == model + assert llm_node["data"]["model"]["mode"] == model_mode.value assert isinstance(llm_node["data"]["prompt_template"], dict) template = prompt_template.advanced_completion_prompt_template.prompt for v in default_variables: - template = template.replace('{{' + v.variable + '}}', '{{#start.' + v.variable + '#}}') - assert llm_node["data"]["prompt_template"]['text'] == template + template = template.replace("{{" + v.variable + "}}", "{{#start." + v.variable + "#}}") + assert llm_node["data"]["prompt_template"]["text"] == template diff --git a/api/tests/unit_tests/utils/position_helper/test_position_helper.py b/api/tests/unit_tests/utils/position_helper/test_position_helper.py index 1235e559c9..29558a93c2 100644 --- a/api/tests/unit_tests/utils/position_helper/test_position_helper.py +++ b/api/tests/unit_tests/utils/position_helper/test_position_helper.py @@ -8,8 +8,9 @@ from core.helper.position_helper import get_position_map, is_filtered, pin_posit @pytest.fixture def prepare_example_positions_yaml(tmp_path, monkeypatch) -> str: monkeypatch.chdir(tmp_path) - tmp_path.joinpath("example_positions.yaml").write_text(dedent( - """\ + tmp_path.joinpath("example_positions.yaml").write_text( + dedent( + """\ - first - second # - commented @@ -17,57 +18,54 @@ def prepare_example_positions_yaml(tmp_path, monkeypatch) -> str: - 9999999999999 - forth - """)) + """ + ) + ) return str(tmp_path) @pytest.fixture def prepare_empty_commented_positions_yaml(tmp_path, monkeypatch) -> str: monkeypatch.chdir(tmp_path) - tmp_path.joinpath("example_positions_all_commented.yaml").write_text(dedent( - """\ + tmp_path.joinpath("example_positions_all_commented.yaml").write_text( + dedent( + """\ # - commented1 # - commented2 - - - """)) + """ + ) + ) return str(tmp_path) def test_position_helper(prepare_example_positions_yaml): - position_map = get_position_map( - folder_path=prepare_example_positions_yaml, - file_name='example_positions.yaml') + position_map = get_position_map(folder_path=prepare_example_positions_yaml, file_name="example_positions.yaml") assert len(position_map) == 4 assert position_map == { - 'first': 0, - 'second': 1, - 'third': 2, - 'forth': 3, + "first": 0, + "second": 1, + "third": 2, + "forth": 3, } def test_position_helper_with_all_commented(prepare_empty_commented_positions_yaml): position_map = get_position_map( - folder_path=prepare_empty_commented_positions_yaml, - file_name='example_positions_all_commented.yaml') + folder_path=prepare_empty_commented_positions_yaml, file_name="example_positions_all_commented.yaml" + ) assert position_map == {} def test_excluded_position_data(prepare_example_positions_yaml): - position_map = get_position_map( - folder_path=prepare_example_positions_yaml, - file_name='example_positions.yaml' - ) - pin_list = ['forth', 'first'] + position_map = get_position_map(folder_path=prepare_example_positions_yaml, file_name="example_positions.yaml") + pin_list = ["forth", "first"] include_set = set() - exclude_set = {'9999999999999'} + exclude_set = {"9999999999999"} - position_map = pin_position_map( - original_position_map=position_map, - pin_list=pin_list - ) + position_map = pin_position_map(original_position_map=position_map, pin_list=pin_list) data = [ "forth", @@ -90,22 +88,16 @@ def test_excluded_position_data(prepare_example_positions_yaml): ) # assert the result in the correct order - assert sorted_data == ['forth', 'first', 'second', 'third', 'extra1', 'extra2'] + assert sorted_data == ["forth", "first", "second", "third", "extra1", "extra2"] def test_included_position_data(prepare_example_positions_yaml): - position_map = get_position_map( - folder_path=prepare_example_positions_yaml, - file_name='example_positions.yaml' - ) - pin_list = ['forth', 'first'] - include_set = {'forth', 'first'} + position_map = get_position_map(folder_path=prepare_example_positions_yaml, file_name="example_positions.yaml") + pin_list = ["forth", "first"] + include_set = {"forth", "first"} exclude_set = {} - position_map = pin_position_map( - original_position_map=position_map, - pin_list=pin_list - ) + position_map = pin_position_map(original_position_map=position_map, pin_list=pin_list) data = [ "forth", @@ -128,4 +120,4 @@ def test_included_position_data(prepare_example_positions_yaml): ) # assert the result in the correct order - assert sorted_data == ['forth', 'first'] + assert sorted_data == ["forth", "first"] diff --git a/api/tests/unit_tests/utils/yaml/test_yaml_utils.py b/api/tests/unit_tests/utils/yaml/test_yaml_utils.py index c0452b4e4d..95b93651d5 100644 --- a/api/tests/unit_tests/utils/yaml/test_yaml_utils.py +++ b/api/tests/unit_tests/utils/yaml/test_yaml_utils.py @@ -5,17 +5,18 @@ from yaml import YAMLError from core.tools.utils.yaml_utils import load_yaml_file -EXAMPLE_YAML_FILE = 'example_yaml.yaml' -INVALID_YAML_FILE = 'invalid_yaml.yaml' -NON_EXISTING_YAML_FILE = 'non_existing_file.yaml' +EXAMPLE_YAML_FILE = "example_yaml.yaml" +INVALID_YAML_FILE = "invalid_yaml.yaml" +NON_EXISTING_YAML_FILE = "non_existing_file.yaml" @pytest.fixture def prepare_example_yaml_file(tmp_path, monkeypatch) -> str: monkeypatch.chdir(tmp_path) file_path = tmp_path.joinpath(EXAMPLE_YAML_FILE) - file_path.write_text(dedent( - """\ + file_path.write_text( + dedent( + """\ address: city: Example City country: Example Country @@ -26,7 +27,9 @@ def prepare_example_yaml_file(tmp_path, monkeypatch) -> str: - Java - C++ empty_key: - """)) + """ + ) + ) return str(file_path) @@ -34,8 +37,9 @@ def prepare_example_yaml_file(tmp_path, monkeypatch) -> str: def prepare_invalid_yaml_file(tmp_path, monkeypatch) -> str: monkeypatch.chdir(tmp_path) file_path = tmp_path.joinpath(INVALID_YAML_FILE) - file_path.write_text(dedent( - """\ + file_path.write_text( + dedent( + """\ address: city: Example City country: Example Country @@ -45,13 +49,15 @@ def prepare_invalid_yaml_file(tmp_path, monkeypatch) -> str: - Python - Java - C++ - """)) + """ + ) + ) return str(file_path) def test_load_yaml_non_existing_file(): assert load_yaml_file(file_path=NON_EXISTING_YAML_FILE) == {} - assert load_yaml_file(file_path='') == {} + assert load_yaml_file(file_path="") == {} with pytest.raises(FileNotFoundError): load_yaml_file(file_path=NON_EXISTING_YAML_FILE, ignore_error=False) @@ -60,12 +66,12 @@ def test_load_yaml_non_existing_file(): def test_load_valid_yaml_file(prepare_example_yaml_file): yaml_data = load_yaml_file(file_path=prepare_example_yaml_file) assert len(yaml_data) > 0 - assert yaml_data['age'] == 30 - assert yaml_data['gender'] == 'male' - assert yaml_data['address']['city'] == 'Example City' - assert set(yaml_data['languages']) == {'Python', 'Java', 'C++'} - assert yaml_data.get('empty_key') is None - assert yaml_data.get('non_existed_key') is None + assert yaml_data["age"] == 30 + assert yaml_data["gender"] == "male" + assert yaml_data["address"]["city"] == "Example City" + assert set(yaml_data["languages"]) == {"Python", "Java", "C++"} + assert yaml_data.get("empty_key") is None + assert yaml_data.get("non_existed_key") is None def test_load_invalid_yaml_file(prepare_invalid_yaml_file): From efc136cce5469899c4582bf8db260c74bcf74830 Mon Sep 17 00:00:00 2001 From: sino Date: Sat, 24 Aug 2024 19:29:45 +0800 Subject: [PATCH 060/164] feat: Introduce Ark SDK v3 and ensure compatibility with models of SDK v2 (#7579) Co-authored-by: crazywoola <427733928@qq.com> --- .../model_providers/volcengine_maas/client.py | 247 ++++++++++------- .../volcengine_maas/legacy/__init__.py | 0 .../volcengine_maas/legacy/client.py | 134 ++++++++++ .../volcengine_maas/{ => legacy}/errors.py | 2 +- .../{ => legacy}/volc_sdk/__init__.py | 0 .../{ => legacy}/volc_sdk/base/__init__.py | 0 .../{ => legacy}/volc_sdk/base/auth.py | 0 .../{ => legacy}/volc_sdk/base/service.py | 0 .../{ => legacy}/volc_sdk/base/util.py | 0 .../{ => legacy}/volc_sdk/common.py | 0 .../{ => legacy}/volc_sdk/maas.py | 0 .../volcengine_maas/llm/llm.py | 252 +++++++++++++----- .../volcengine_maas/llm/models.py | 58 +++- .../volcengine_maas/text_embedding/models.py | 15 +- .../text_embedding/text_embedding.py | 50 +++- api/poetry.lock | 37 ++- api/pyproject.toml | 1 + 17 files changed, 604 insertions(+), 192 deletions(-) create mode 100644 api/core/model_runtime/model_providers/volcengine_maas/legacy/__init__.py create mode 100644 api/core/model_runtime/model_providers/volcengine_maas/legacy/client.py rename api/core/model_runtime/model_providers/volcengine_maas/{ => legacy}/errors.py (97%) rename api/core/model_runtime/model_providers/volcengine_maas/{ => legacy}/volc_sdk/__init__.py (100%) rename api/core/model_runtime/model_providers/volcengine_maas/{ => legacy}/volc_sdk/base/__init__.py (100%) rename api/core/model_runtime/model_providers/volcengine_maas/{ => legacy}/volc_sdk/base/auth.py (100%) rename api/core/model_runtime/model_providers/volcengine_maas/{ => legacy}/volc_sdk/base/service.py (100%) rename api/core/model_runtime/model_providers/volcengine_maas/{ => legacy}/volc_sdk/base/util.py (100%) rename api/core/model_runtime/model_providers/volcengine_maas/{ => legacy}/volc_sdk/common.py (100%) rename api/core/model_runtime/model_providers/volcengine_maas/{ => legacy}/volc_sdk/maas.py (100%) diff --git a/api/core/model_runtime/model_providers/volcengine_maas/client.py b/api/core/model_runtime/model_providers/volcengine_maas/client.py index 471cb3c94e..5100494e58 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/client.py +++ b/api/core/model_runtime/model_providers/volcengine_maas/client.py @@ -1,6 +1,25 @@ import re -from collections.abc import Callable, Generator -from typing import cast +from collections.abc import Generator +from typing import Optional, cast + +from volcenginesdkarkruntime import Ark +from volcenginesdkarkruntime.types.chat import ( + ChatCompletion, + ChatCompletionAssistantMessageParam, + ChatCompletionChunk, + ChatCompletionContentPartImageParam, + ChatCompletionContentPartTextParam, + ChatCompletionMessageParam, + ChatCompletionMessageToolCallParam, + ChatCompletionSystemMessageParam, + ChatCompletionToolMessageParam, + ChatCompletionToolParam, + ChatCompletionUserMessageParam, +) +from volcenginesdkarkruntime.types.chat.chat_completion_content_part_image_param import ImageURL +from volcenginesdkarkruntime.types.chat.chat_completion_message_tool_call_param import Function +from volcenginesdkarkruntime.types.create_embedding_response import CreateEmbeddingResponse +from volcenginesdkarkruntime.types.shared_params import FunctionDefinition from core.model_runtime.entities.message_entities import ( AssistantPromptMessage, @@ -12,123 +31,171 @@ from core.model_runtime.entities.message_entities import ( ToolPromptMessage, UserPromptMessage, ) -from core.model_runtime.model_providers.volcengine_maas.errors import wrap_error -from core.model_runtime.model_providers.volcengine_maas.volc_sdk import ChatRole, MaasException, MaasService -class MaaSClient(MaasService): - def __init__(self, host: str, region: str): +class ArkClientV3: + endpoint_id: Optional[str] = None + ark: Optional[Ark] = None + + def __init__(self, *args, **kwargs): + self.ark = Ark(*args, **kwargs) self.endpoint_id = None - super().__init__(host, region) - - def set_endpoint_id(self, endpoint_id: str): - self.endpoint_id = endpoint_id - - @classmethod - def from_credential(cls, credentials: dict) -> 'MaaSClient': - host = credentials['api_endpoint_host'] - region = credentials['volc_region'] - ak = credentials['volc_access_key_id'] - sk = credentials['volc_secret_access_key'] - endpoint_id = credentials['endpoint_id'] - - client = cls(host, region) - client.set_endpoint_id(endpoint_id) - client.set_ak(ak) - client.set_sk(sk) - return client - - def chat(self, params: dict, messages: list[PromptMessage], stream=False, **extra_model_kwargs) -> Generator | dict: - req = { - 'parameters': params, - 'messages': [self.convert_prompt_message_to_maas_message(prompt) for prompt in messages], - **extra_model_kwargs, - } - if not stream: - return super().chat( - self.endpoint_id, - req, - ) - return super().stream_chat( - self.endpoint_id, - req, - ) - - def embeddings(self, texts: list[str]) -> dict: - req = { - 'input': texts - } - return super().embeddings(self.endpoint_id, req) @staticmethod - def convert_prompt_message_to_maas_message(message: PromptMessage) -> dict: + def is_legacy(credentials: dict) -> bool: + if ArkClientV3.is_compatible_with_legacy(credentials): + return False + sdk_version = credentials.get("sdk_version", "v2") + return sdk_version != "v3" + + @staticmethod + def is_compatible_with_legacy(credentials: dict) -> bool: + sdk_version = credentials.get("sdk_version") + endpoint = credentials.get("api_endpoint_host") + return sdk_version is None and endpoint == "maas-api.ml-platform-cn-beijing.volces.com" + + @classmethod + def from_credentials(cls, credentials): + """Initialize the client using the credentials provided.""" + args = { + "base_url": credentials['api_endpoint_host'], + "region": credentials['volc_region'], + "ak": credentials['volc_access_key_id'], + "sk": credentials['volc_secret_access_key'], + } + if cls.is_compatible_with_legacy(credentials): + args["base_url"] = "https://ark.cn-beijing.volces.com/api/v3" + + client = ArkClientV3( + **args + ) + client.endpoint_id = credentials['endpoint_id'] + return client + + @staticmethod + def convert_prompt_message(message: PromptMessage) -> ChatCompletionMessageParam: + """Converts a PromptMessage to a ChatCompletionMessageParam""" if isinstance(message, UserPromptMessage): message = cast(UserPromptMessage, message) if isinstance(message.content, str): - message_dict = {"role": ChatRole.USER, - "content": message.content} + content = message.content else: content = [] for message_content in message.content: if message_content.type == PromptMessageContentType.TEXT: - raise ValueError( - 'Content object type only support image_url') + content.append(ChatCompletionContentPartTextParam( + text=message_content.text, + type='text', + )) elif message_content.type == PromptMessageContentType.IMAGE: message_content = cast( ImagePromptMessageContent, message_content) image_data = re.sub( r'^data:image\/[a-zA-Z]+;base64,', '', message_content.data) - content.append({ - 'type': 'image_url', - 'image_url': { - 'url': '', - 'image_bytes': image_data, - 'detail': message_content.detail, - } - }) - - message_dict = {'role': ChatRole.USER, 'content': content} + content.append(ChatCompletionContentPartImageParam( + image_url=ImageURL( + url=image_data, + detail=message_content.detail.value, + ), + type='image_url', + )) + message_dict = ChatCompletionUserMessageParam( + role='user', + content=content + ) elif isinstance(message, AssistantPromptMessage): message = cast(AssistantPromptMessage, message) - message_dict = {'role': ChatRole.ASSISTANT, - 'content': message.content} - if message.tool_calls: - message_dict['tool_calls'] = [ - { - 'name': call.function.name, - 'arguments': call.function.arguments - } for call in message.tool_calls + message_dict = ChatCompletionAssistantMessageParam( + content=message.content, + role='assistant', + tool_calls=None if not message.tool_calls else [ + ChatCompletionMessageToolCallParam( + id=call.id, + function=Function( + name=call.function.name, + arguments=call.function.arguments + ), + type='function' + ) for call in message.tool_calls ] + ) elif isinstance(message, SystemPromptMessage): message = cast(SystemPromptMessage, message) - message_dict = {'role': ChatRole.SYSTEM, - 'content': message.content} + message_dict = ChatCompletionSystemMessageParam( + content=message.content, + role='system' + ) elif isinstance(message, ToolPromptMessage): message = cast(ToolPromptMessage, message) - message_dict = {'role': ChatRole.FUNCTION, - 'content': message.content, - 'name': message.tool_call_id} + message_dict = ChatCompletionToolMessageParam( + content=message.content, + role='tool', + tool_call_id=message.tool_call_id + ) else: raise ValueError(f"Got unknown PromptMessage type {message}") return message_dict @staticmethod - def wrap_exception(fn: Callable[[], dict | Generator]) -> dict | Generator: - try: - resp = fn() - except MaasException as e: - raise wrap_error(e) + def _convert_tool_prompt(message: PromptMessageTool) -> ChatCompletionToolParam: + return ChatCompletionToolParam( + type='function', + function=FunctionDefinition( + name=message.name, + description=message.description, + parameters=message.parameters, + ) + ) - return resp + def chat(self, messages: list[PromptMessage], + tools: Optional[list[PromptMessageTool]] = None, + stop: Optional[list[str]] = None, + frequency_penalty: Optional[float] = None, + max_tokens: Optional[int] = None, + presence_penalty: Optional[float] = None, + top_p: Optional[float] = None, + temperature: Optional[float] = None, + ) -> ChatCompletion: + """Block chat""" + return self.ark.chat.completions.create( + model=self.endpoint_id, + messages=[self.convert_prompt_message(message) for message in messages], + tools=[self._convert_tool_prompt(tool) for tool in tools] if tools else None, + stop=stop, + frequency_penalty=frequency_penalty, + max_tokens=max_tokens, + presence_penalty=presence_penalty, + top_p=top_p, + temperature=temperature, + ) - @staticmethod - def transform_tool_prompt_to_maas_config(tool: PromptMessageTool): - return { - "type": "function", - "function": { - "name": tool.name, - "description": tool.description, - "parameters": tool.parameters, - } - } + def stream_chat(self, messages: list[PromptMessage], + tools: Optional[list[PromptMessageTool]] = None, + stop: Optional[list[str]] = None, + frequency_penalty: Optional[float] = None, + max_tokens: Optional[int] = None, + presence_penalty: Optional[float] = None, + top_p: Optional[float] = None, + temperature: Optional[float] = None, + ) -> Generator[ChatCompletionChunk]: + """Stream chat""" + chunks = self.ark.chat.completions.create( + stream=True, + model=self.endpoint_id, + messages=[self.convert_prompt_message(message) for message in messages], + tools=[self._convert_tool_prompt(tool) for tool in tools] if tools else None, + stop=stop, + frequency_penalty=frequency_penalty, + max_tokens=max_tokens, + presence_penalty=presence_penalty, + top_p=top_p, + temperature=temperature, + ) + for chunk in chunks: + if not chunk.choices: + continue + yield chunk + + def embeddings(self, texts: list[str]) -> CreateEmbeddingResponse: + return self.ark.embeddings.create(model=self.endpoint_id, input=texts) diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/__init__.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/client.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/client.py new file mode 100644 index 0000000000..1978c11680 --- /dev/null +++ b/api/core/model_runtime/model_providers/volcengine_maas/legacy/client.py @@ -0,0 +1,134 @@ +import re +from collections.abc import Callable, Generator +from typing import cast + +from core.model_runtime.entities.message_entities import ( + AssistantPromptMessage, + ImagePromptMessageContent, + PromptMessage, + PromptMessageContentType, + PromptMessageTool, + SystemPromptMessage, + ToolPromptMessage, + UserPromptMessage, +) +from core.model_runtime.model_providers.volcengine_maas.legacy.errors import wrap_error +from core.model_runtime.model_providers.volcengine_maas.legacy.volc_sdk import ChatRole, MaasException, MaasService + + +class MaaSClient(MaasService): + def __init__(self, host: str, region: str): + self.endpoint_id = None + super().__init__(host, region) + + def set_endpoint_id(self, endpoint_id: str): + self.endpoint_id = endpoint_id + + @classmethod + def from_credential(cls, credentials: dict) -> 'MaaSClient': + host = credentials['api_endpoint_host'] + region = credentials['volc_region'] + ak = credentials['volc_access_key_id'] + sk = credentials['volc_secret_access_key'] + endpoint_id = credentials['endpoint_id'] + + client = cls(host, region) + client.set_endpoint_id(endpoint_id) + client.set_ak(ak) + client.set_sk(sk) + return client + + def chat(self, params: dict, messages: list[PromptMessage], stream=False, **extra_model_kwargs) -> Generator | dict: + req = { + 'parameters': params, + 'messages': [self.convert_prompt_message_to_maas_message(prompt) for prompt in messages], + **extra_model_kwargs, + } + if not stream: + return super().chat( + self.endpoint_id, + req, + ) + return super().stream_chat( + self.endpoint_id, + req, + ) + + def embeddings(self, texts: list[str]) -> dict: + req = { + 'input': texts + } + return super().embeddings(self.endpoint_id, req) + + @staticmethod + def convert_prompt_message_to_maas_message(message: PromptMessage) -> dict: + if isinstance(message, UserPromptMessage): + message = cast(UserPromptMessage, message) + if isinstance(message.content, str): + message_dict = {"role": ChatRole.USER, + "content": message.content} + else: + content = [] + for message_content in message.content: + if message_content.type == PromptMessageContentType.TEXT: + raise ValueError( + 'Content object type only support image_url') + elif message_content.type == PromptMessageContentType.IMAGE: + message_content = cast( + ImagePromptMessageContent, message_content) + image_data = re.sub( + r'^data:image\/[a-zA-Z]+;base64,', '', message_content.data) + content.append({ + 'type': 'image_url', + 'image_url': { + 'url': '', + 'image_bytes': image_data, + 'detail': message_content.detail, + } + }) + + message_dict = {'role': ChatRole.USER, 'content': content} + elif isinstance(message, AssistantPromptMessage): + message = cast(AssistantPromptMessage, message) + message_dict = {'role': ChatRole.ASSISTANT, + 'content': message.content} + if message.tool_calls: + message_dict['tool_calls'] = [ + { + 'name': call.function.name, + 'arguments': call.function.arguments + } for call in message.tool_calls + ] + elif isinstance(message, SystemPromptMessage): + message = cast(SystemPromptMessage, message) + message_dict = {'role': ChatRole.SYSTEM, + 'content': message.content} + elif isinstance(message, ToolPromptMessage): + message = cast(ToolPromptMessage, message) + message_dict = {'role': ChatRole.FUNCTION, + 'content': message.content, + 'name': message.tool_call_id} + else: + raise ValueError(f"Got unknown PromptMessage type {message}") + + return message_dict + + @staticmethod + def wrap_exception(fn: Callable[[], dict | Generator]) -> dict | Generator: + try: + resp = fn() + except MaasException as e: + raise wrap_error(e) + + return resp + + @staticmethod + def transform_tool_prompt_to_maas_config(tool: PromptMessageTool): + return { + "type": "function", + "function": { + "name": tool.name, + "description": tool.description, + "parameters": tool.parameters, + } + } diff --git a/api/core/model_runtime/model_providers/volcengine_maas/errors.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/errors.py similarity index 97% rename from api/core/model_runtime/model_providers/volcengine_maas/errors.py rename to api/core/model_runtime/model_providers/volcengine_maas/legacy/errors.py index 63397a456e..21ffaf1258 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/errors.py +++ b/api/core/model_runtime/model_providers/volcengine_maas/legacy/errors.py @@ -1,4 +1,4 @@ -from core.model_runtime.model_providers.volcengine_maas.volc_sdk import MaasException +from core.model_runtime.model_providers.volcengine_maas.legacy.volc_sdk import MaasException class ClientSDKRequestError(MaasException): diff --git a/api/core/model_runtime/model_providers/volcengine_maas/volc_sdk/__init__.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/__init__.py similarity index 100% rename from api/core/model_runtime/model_providers/volcengine_maas/volc_sdk/__init__.py rename to api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/__init__.py diff --git a/api/core/model_runtime/model_providers/volcengine_maas/volc_sdk/base/__init__.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/__init__.py similarity index 100% rename from api/core/model_runtime/model_providers/volcengine_maas/volc_sdk/base/__init__.py rename to api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/__init__.py diff --git a/api/core/model_runtime/model_providers/volcengine_maas/volc_sdk/base/auth.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/auth.py similarity index 100% rename from api/core/model_runtime/model_providers/volcengine_maas/volc_sdk/base/auth.py rename to api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/auth.py diff --git a/api/core/model_runtime/model_providers/volcengine_maas/volc_sdk/base/service.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/service.py similarity index 100% rename from api/core/model_runtime/model_providers/volcengine_maas/volc_sdk/base/service.py rename to api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/service.py diff --git a/api/core/model_runtime/model_providers/volcengine_maas/volc_sdk/base/util.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/util.py similarity index 100% rename from api/core/model_runtime/model_providers/volcengine_maas/volc_sdk/base/util.py rename to api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/util.py diff --git a/api/core/model_runtime/model_providers/volcengine_maas/volc_sdk/common.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/common.py similarity index 100% rename from api/core/model_runtime/model_providers/volcengine_maas/volc_sdk/common.py rename to api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/common.py diff --git a/api/core/model_runtime/model_providers/volcengine_maas/volc_sdk/maas.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/maas.py similarity index 100% rename from api/core/model_runtime/model_providers/volcengine_maas/volc_sdk/maas.py rename to api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/maas.py diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py index add5822bef..996c66e604 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py +++ b/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py @@ -1,8 +1,10 @@ import logging from collections.abc import Generator +from volcenginesdkarkruntime.types.chat import ChatCompletion, ChatCompletionChunk + from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage +from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta from core.model_runtime.entities.message_entities import ( AssistantPromptMessage, PromptMessage, @@ -27,19 +29,21 @@ from core.model_runtime.errors.invoke import ( ) from core.model_runtime.errors.validate import CredentialsValidateFailedError from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel -from core.model_runtime.model_providers.volcengine_maas.client import MaaSClient -from core.model_runtime.model_providers.volcengine_maas.errors import ( +from core.model_runtime.model_providers.volcengine_maas.client import ArkClientV3 +from core.model_runtime.model_providers.volcengine_maas.legacy.client import MaaSClient +from core.model_runtime.model_providers.volcengine_maas.legacy.errors import ( AuthErrors, BadRequestErrors, ConnectionErrors, + MaasException, RateLimitErrors, ServerUnavailableErrors, ) from core.model_runtime.model_providers.volcengine_maas.llm.models import ( get_model_config, get_v2_req_params, + get_v3_req_params, ) -from core.model_runtime.model_providers.volcengine_maas.volc_sdk import MaasException logger = logging.getLogger(__name__) @@ -49,13 +53,20 @@ class VolcengineMaaSLargeLanguageModel(LargeLanguageModel): model_parameters: dict, tools: list[PromptMessageTool] | None = None, stop: list[str] | None = None, stream: bool = True, user: str | None = None) \ -> LLMResult | Generator: - return self._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) + if ArkClientV3.is_legacy(credentials): + return self._generate_v2(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) + return self._generate_v3(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) def validate_credentials(self, model: str, credentials: dict) -> None: """ Validate credentials """ - # ping + if ArkClientV3.is_legacy(credentials): + return self._validate_credentials_v2(credentials) + return self._validate_credentials_v3(credentials) + + @staticmethod + def _validate_credentials_v2(credentials: dict) -> None: client = MaaSClient.from_credential(credentials) try: client.chat( @@ -70,18 +81,24 @@ class VolcengineMaaSLargeLanguageModel(LargeLanguageModel): except MaasException as e: raise CredentialsValidateFailedError(e.message) + @staticmethod + def _validate_credentials_v3(credentials: dict) -> None: + client = ArkClientV3.from_credentials(credentials) + try: + client.chat(max_tokens=16, temperature=0.7, top_p=0.9, + messages=[UserPromptMessage(content='ping\nAnswer: ')], ) + except Exception as e: + raise CredentialsValidateFailedError(e) + def get_num_tokens(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], tools: list[PromptMessageTool] | None = None) -> int: - if len(prompt_messages) == 0: + if ArkClientV3.is_legacy(credentials): + return self._get_num_tokens_v2(prompt_messages) + return self._get_num_tokens_v3(prompt_messages) + + def _get_num_tokens_v2(self, messages: list[PromptMessage]) -> int: + if len(messages) == 0: return 0 - return self._num_tokens_from_messages(prompt_messages) - - def _num_tokens_from_messages(self, messages: list[PromptMessage]) -> int: - """ - Calculate num tokens. - - :param messages: messages - """ num_tokens = 0 messages_dict = [ MaaSClient.convert_prompt_message_to_maas_message(m) for m in messages] @@ -92,9 +109,22 @@ class VolcengineMaaSLargeLanguageModel(LargeLanguageModel): return num_tokens - def _generate(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], - model_parameters: dict, tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, stream: bool = True, user: str | None = None) \ + def _get_num_tokens_v3(self, messages: list[PromptMessage]) -> int: + if len(messages) == 0: + return 0 + num_tokens = 0 + messages_dict = [ + ArkClientV3.convert_prompt_message(m) for m in messages] + for message in messages_dict: + for key, value in message.items(): + num_tokens += self._get_num_tokens_by_gpt2(str(key)) + num_tokens += self._get_num_tokens_by_gpt2(str(value)) + + return num_tokens + + def _generate_v2(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], + model_parameters: dict, tools: list[PromptMessageTool] | None = None, + stop: list[str] | None = None, stream: bool = True, user: str | None = None) \ -> LLMResult | Generator: client = MaaSClient.from_credential(credentials) @@ -106,77 +136,151 @@ class VolcengineMaaSLargeLanguageModel(LargeLanguageModel): ] resp = MaaSClient.wrap_exception( lambda: client.chat(req_params, prompt_messages, stream, **extra_model_kwargs)) - if not stream: - return self._handle_chat_response(model, credentials, prompt_messages, resp) - return self._handle_stream_chat_response(model, credentials, prompt_messages, resp) - def _handle_stream_chat_response(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], resp: Generator) -> Generator: - for index, r in enumerate(resp): - choices = r['choices'] + def _handle_stream_chat_response() -> Generator: + for index, r in enumerate(resp): + choices = r['choices'] + if not choices: + continue + choice = choices[0] + message = choice['message'] + usage = None + if r.get('usage'): + usage = self._calc_response_usage(model=model, credentials=credentials, + prompt_tokens=r['usage']['prompt_tokens'], + completion_tokens=r['usage']['completion_tokens'] + ) + yield LLMResultChunk( + model=model, + prompt_messages=prompt_messages, + delta=LLMResultChunkDelta( + index=index, + message=AssistantPromptMessage( + content=message['content'] if message['content'] else '', + tool_calls=[] + ), + usage=usage, + finish_reason=choice.get('finish_reason'), + ), + ) + + def _handle_chat_response() -> LLMResult: + choices = resp['choices'] if not choices: - continue + raise ValueError("No choices found") + choice = choices[0] message = choice['message'] - usage = None - if r.get('usage'): - usage = self._calc_usage(model, credentials, r['usage']) - yield LLMResultChunk( + + # parse tool calls + tool_calls = [] + if message['tool_calls']: + for call in message['tool_calls']: + tool_call = AssistantPromptMessage.ToolCall( + id=call['function']['name'], + type=call['type'], + function=AssistantPromptMessage.ToolCall.ToolCallFunction( + name=call['function']['name'], + arguments=call['function']['arguments'] + ) + ) + tool_calls.append(tool_call) + + usage = resp['usage'] + return LLMResult( model=model, prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=index, - message=AssistantPromptMessage( - content=message['content'] if message['content'] else '', - tool_calls=[] - ), - usage=usage, - finish_reason=choice.get('finish_reason'), + message=AssistantPromptMessage( + content=message['content'] if message['content'] else '', + tool_calls=tool_calls, ), + usage=self._calc_response_usage(model=model, credentials=credentials, + prompt_tokens=usage['prompt_tokens'], + completion_tokens=usage['completion_tokens'] + ), ) - def _handle_chat_response(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], resp: dict) -> LLMResult: - choices = resp['choices'] - if not choices: - return - choice = choices[0] - message = choice['message'] + if not stream: + return _handle_chat_response() + return _handle_stream_chat_response() - # parse tool calls - tool_calls = [] - if message['tool_calls']: - for call in message['tool_calls']: - tool_call = AssistantPromptMessage.ToolCall( - id=call['function']['name'], - type=call['type'], - function=AssistantPromptMessage.ToolCall.ToolCallFunction( - name=call['function']['name'], - arguments=call['function']['arguments'] - ) + def _generate_v3(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], + model_parameters: dict, tools: list[PromptMessageTool] | None = None, + stop: list[str] | None = None, stream: bool = True, user: str | None = None) \ + -> LLMResult | Generator: + + client = ArkClientV3.from_credentials(credentials) + req_params = get_v3_req_params(credentials, model_parameters, stop) + if tools: + req_params['tools'] = tools + + def _handle_stream_chat_response(chunks: Generator[ChatCompletionChunk]) -> Generator: + for chunk in chunks: + if not chunk.choices: + continue + choice = chunk.choices[0] + + yield LLMResultChunk( + model=model, + prompt_messages=prompt_messages, + delta=LLMResultChunkDelta( + index=choice.index, + message=AssistantPromptMessage( + content=choice.delta.content, + tool_calls=[] + ), + usage=self._calc_response_usage(model=model, credentials=credentials, + prompt_tokens=chunk.usage.prompt_tokens, + completion_tokens=chunk.usage.completion_tokens + ) if chunk.usage else None, + finish_reason=choice.finish_reason, + ), ) - tool_calls.append(tool_call) - return LLMResult( - model=model, - prompt_messages=prompt_messages, - message=AssistantPromptMessage( - content=message['content'] if message['content'] else '', - tool_calls=tool_calls, - ), - usage=self._calc_usage(model, credentials, resp['usage']), - ) + def _handle_chat_response(resp: ChatCompletion) -> LLMResult: + choice = resp.choices[0] + message = choice.message + # parse tool calls + tool_calls = [] + if message.tool_calls: + for call in message.tool_calls: + tool_call = AssistantPromptMessage.ToolCall( + id=call.id, + type=call.type, + function=AssistantPromptMessage.ToolCall.ToolCallFunction( + name=call.function.name, + arguments=call.function.arguments + ) + ) + tool_calls.append(tool_call) - def _calc_usage(self, model: str, credentials: dict, usage: dict) -> LLMUsage: - return self._calc_response_usage(model=model, credentials=credentials, - prompt_tokens=usage['prompt_tokens'], - completion_tokens=usage['completion_tokens'] - ) + usage = resp.usage + return LLMResult( + model=model, + prompt_messages=prompt_messages, + message=AssistantPromptMessage( + content=message.content if message.content else "", + tool_calls=tool_calls, + ), + usage=self._calc_response_usage(model=model, credentials=credentials, + prompt_tokens=usage.prompt_tokens, + completion_tokens=usage.completion_tokens + ), + ) + + if not stream: + resp = client.chat(prompt_messages, **req_params) + return _handle_chat_response(resp) + + chunks = client.stream_chat(prompt_messages, **req_params) + return _handle_stream_chat_response(chunks) def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity | None: """ used to define customizable model schema """ model_config = get_model_config(credentials) - + rules = [ ParameterRule( name='temperature', @@ -212,7 +316,7 @@ class VolcengineMaaSLargeLanguageModel(LargeLanguageModel): use_template='presence_penalty', label=I18nObject( en_US='Presence Penalty', - zh_Hans= '存在惩罚', + zh_Hans='存在惩罚', ), min=-2.0, max=2.0, @@ -222,8 +326,8 @@ class VolcengineMaaSLargeLanguageModel(LargeLanguageModel): type=ParameterType.FLOAT, use_template='frequency_penalty', label=I18nObject( - en_US= 'Frequency Penalty', - zh_Hans= '频率惩罚', + en_US='Frequency Penalty', + zh_Hans='频率惩罚', ), min=-2.0, max=2.0, @@ -245,7 +349,7 @@ class VolcengineMaaSLargeLanguageModel(LargeLanguageModel): model_properties = {} model_properties[ModelPropertyKey.CONTEXT_SIZE] = model_config.properties.context_size model_properties[ModelPropertyKey.MODE] = model_config.properties.mode.value - + entity = AIModelEntity( model=model, label=I18nObject( diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py index c5e53d8955..4e2c66a066 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py +++ b/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py @@ -5,10 +5,11 @@ from core.model_runtime.entities.model_entities import ModelFeature class ModelProperties(BaseModel): - context_size: int - max_tokens: int + context_size: int + max_tokens: int mode: LLMMode + class ModelConfig(BaseModel): properties: ModelProperties features: list[ModelFeature] @@ -24,23 +25,23 @@ configs: dict[str, ModelConfig] = { features=[ModelFeature.TOOL_CALL] ), 'Doubao-pro-32k': ModelConfig( - properties=ModelProperties(context_size=32768, max_tokens=32768, mode=LLMMode.CHAT), + properties=ModelProperties(context_size=32768, max_tokens=4096, mode=LLMMode.CHAT), features=[ModelFeature.TOOL_CALL] ), 'Doubao-lite-32k': ModelConfig( - properties=ModelProperties(context_size=32768, max_tokens=32768, mode=LLMMode.CHAT), + properties=ModelProperties(context_size=32768, max_tokens=4096, mode=LLMMode.CHAT), features=[ModelFeature.TOOL_CALL] ), 'Doubao-pro-128k': ModelConfig( - properties=ModelProperties(context_size=131072, max_tokens=131072, mode=LLMMode.CHAT), + properties=ModelProperties(context_size=131072, max_tokens=4096, mode=LLMMode.CHAT), features=[ModelFeature.TOOL_CALL] ), 'Doubao-lite-128k': ModelConfig( - properties=ModelProperties(context_size=131072, max_tokens=131072, mode=LLMMode.CHAT), + properties=ModelProperties(context_size=131072, max_tokens=4096, mode=LLMMode.CHAT), features=[ModelFeature.TOOL_CALL] ), 'Skylark2-pro-4k': ModelConfig( - properties=ModelProperties(context_size=4096, max_tokens=4000, mode=LLMMode.CHAT), + properties=ModelProperties(context_size=4096, max_tokens=4096, mode=LLMMode.CHAT), features=[] ), 'Llama3-8B': ModelConfig( @@ -77,23 +78,24 @@ configs: dict[str, ModelConfig] = { ) } -def get_model_config(credentials: dict)->ModelConfig: + +def get_model_config(credentials: dict) -> ModelConfig: base_model = credentials.get('base_model_name', '') model_configs = configs.get(base_model) if not model_configs: return ModelConfig( - properties=ModelProperties( + properties=ModelProperties( context_size=int(credentials.get('context_size', 0)), max_tokens=int(credentials.get('max_tokens', 0)), - mode= LLMMode.value_of(credentials.get('mode', 'chat')), + mode=LLMMode.value_of(credentials.get('mode', 'chat')), ), features=[] ) return model_configs -def get_v2_req_params(credentials: dict, model_parameters: dict, - stop: list[str] | None=None): +def get_v2_req_params(credentials: dict, model_parameters: dict, + stop: list[str] | None = None): req_params = {} # predefined properties model_configs = get_model_config(credentials) @@ -116,8 +118,36 @@ def get_v2_req_params(credentials: dict, model_parameters: dict, if model_parameters.get('frequency_penalty'): req_params['frequency_penalty'] = model_parameters.get( 'frequency_penalty') - + if stop: req_params['stop'] = stop - return req_params \ No newline at end of file + return req_params + + +def get_v3_req_params(credentials: dict, model_parameters: dict, + stop: list[str] | None = None): + req_params = {} + # predefined properties + model_configs = get_model_config(credentials) + if model_configs: + req_params['max_tokens'] = model_configs.properties.max_tokens + + # model parameters + if model_parameters.get('max_tokens'): + req_params['max_tokens'] = model_parameters.get('max_tokens') + if model_parameters.get('temperature'): + req_params['temperature'] = model_parameters.get('temperature') + if model_parameters.get('top_p'): + req_params['top_p'] = model_parameters.get('top_p') + if model_parameters.get('presence_penalty'): + req_params['presence_penalty'] = model_parameters.get( + 'presence_penalty') + if model_parameters.get('frequency_penalty'): + req_params['frequency_penalty'] = model_parameters.get( + 'frequency_penalty') + + if stop: + req_params['stop'] = stop + + return req_params diff --git a/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/models.py b/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/models.py index 2d8f972b94..74cf26247c 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/models.py +++ b/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/models.py @@ -2,26 +2,29 @@ from pydantic import BaseModel class ModelProperties(BaseModel): - context_size: int - max_chunks: int + context_size: int + max_chunks: int + class ModelConfig(BaseModel): properties: ModelProperties + ModelConfigs = { 'Doubao-embedding': ModelConfig( - properties=ModelProperties(context_size=4096, max_chunks=1) + properties=ModelProperties(context_size=4096, max_chunks=32) ), } -def get_model_config(credentials: dict)->ModelConfig: + +def get_model_config(credentials: dict) -> ModelConfig: base_model = credentials.get('base_model_name', '') model_configs = ModelConfigs.get(base_model) if not model_configs: return ModelConfig( - properties=ModelProperties( + properties=ModelProperties( context_size=int(credentials.get('context_size', 0)), max_chunks=int(credentials.get('max_chunks', 0)), ) ) - return model_configs \ No newline at end of file + return model_configs diff --git a/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/text_embedding.py index 8ac632369e..d54aeeb0b1 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/text_embedding.py +++ b/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/text_embedding.py @@ -22,16 +22,17 @@ from core.model_runtime.errors.invoke import ( ) from core.model_runtime.errors.validate import CredentialsValidateFailedError from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel -from core.model_runtime.model_providers.volcengine_maas.client import MaaSClient -from core.model_runtime.model_providers.volcengine_maas.errors import ( +from core.model_runtime.model_providers.volcengine_maas.client import ArkClientV3 +from core.model_runtime.model_providers.volcengine_maas.legacy.client import MaaSClient +from core.model_runtime.model_providers.volcengine_maas.legacy.errors import ( AuthErrors, BadRequestErrors, ConnectionErrors, + MaasException, RateLimitErrors, ServerUnavailableErrors, ) from core.model_runtime.model_providers.volcengine_maas.text_embedding.models import get_model_config -from core.model_runtime.model_providers.volcengine_maas.volc_sdk import MaasException class VolcengineMaaSTextEmbeddingModel(TextEmbeddingModel): @@ -51,6 +52,14 @@ class VolcengineMaaSTextEmbeddingModel(TextEmbeddingModel): :param user: unique user id :return: embeddings result """ + if ArkClientV3.is_legacy(credentials): + return self._generate_v2(model, credentials, texts, user) + + return self._generate_v3(model, credentials, texts, user) + + def _generate_v2(self, model: str, credentials: dict, + texts: list[str], user: Optional[str] = None) \ + -> TextEmbeddingResult: client = MaaSClient.from_credential(credentials) resp = MaaSClient.wrap_exception(lambda: client.embeddings(texts)) @@ -65,6 +74,23 @@ class VolcengineMaaSTextEmbeddingModel(TextEmbeddingModel): return result + def _generate_v3(self, model: str, credentials: dict, + texts: list[str], user: Optional[str] = None) \ + -> TextEmbeddingResult: + client = ArkClientV3.from_credentials(credentials) + resp = client.embeddings(texts) + + usage = self._calc_response_usage( + model=model, credentials=credentials, tokens=resp.usage.total_tokens) + + result = TextEmbeddingResult( + model=model, + embeddings=[v.embedding for v in resp.data], + usage=usage + ) + + return result + def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: """ Get number of tokens for given prompt messages @@ -88,11 +114,22 @@ class VolcengineMaaSTextEmbeddingModel(TextEmbeddingModel): :param credentials: model credentials :return: """ + if ArkClientV3.is_legacy(credentials): + return self._validate_credentials_v2(model, credentials) + return self._validate_credentials_v3(model, credentials) + + def _validate_credentials_v2(self, model: str, credentials: dict) -> None: try: self._invoke(model=model, credentials=credentials, texts=['ping']) except MaasException as e: raise CredentialsValidateFailedError(e.message) + def _validate_credentials_v3(self, model: str, credentials: dict) -> None: + try: + self._invoke(model=model, credentials=credentials, texts=['ping']) + except Exception as e: + raise CredentialsValidateFailedError(e) + @property def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: """ @@ -116,9 +153,10 @@ class VolcengineMaaSTextEmbeddingModel(TextEmbeddingModel): generate custom model entities from credentials """ model_config = get_model_config(credentials) - model_properties = {} - model_properties[ModelPropertyKey.CONTEXT_SIZE] = model_config.properties.context_size - model_properties[ModelPropertyKey.MAX_CHUNKS] = model_config.properties.max_chunks + model_properties = { + ModelPropertyKey.CONTEXT_SIZE: model_config.properties.context_size, + ModelPropertyKey.MAX_CHUNKS: model_config.properties.max_chunks + } entity = AIModelEntity( model=model, label=I18nObject(en_US=model), diff --git a/api/poetry.lock b/api/poetry.lock index 0a8919a30a..a273b3c4d9 100644 --- a/api/poetry.lock +++ b/api/poetry.lock @@ -6143,6 +6143,19 @@ files = [ {file = "pyarrow-17.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:392bc9feabc647338e6c89267635e111d71edad5fcffba204425a7c8d13610d7"}, {file = "pyarrow-17.0.0-cp38-cp38-macosx_10_15_x86_64.whl", hash = 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"sha256:42bf93249a083aca230ba7e2786c5f673507fa97bbd9725a1e2754715151a204"}, + {file = "pyarrow-17.0.0.tar.gz", hash = "sha256:4beca9521ed2c0921c1023e68d097d0299b62c362639ea315572a58f3f50fd28"}, ] [package.dependencies] @@ -8854,6 +8867,28 @@ files = [ {file = "vine-5.1.0.tar.gz", hash = "sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0"}, ] +[[package]] +name = "volcengine-python-sdk" +version = "1.0.98" +description = "Volcengine SDK for Python" +optional = false +python-versions = "*" +files = [ + {file = "volcengine-python-sdk-1.0.98.tar.gz", hash = "sha256:1515e8d46cdcda387f9b45abbcaf0b04b982f7be68068de83f1e388281441784"}, +] + +[package.dependencies] +anyio = {version = ">=3.5.0,<5", optional = true, markers = "extra == \"ark\""} +certifi = ">=2017.4.17" +httpx = {version = ">=0.23.0,<1", optional = true, markers = "extra == \"ark\""} +pydantic = {version = ">=1.9.0,<3", optional = true, markers = "extra == \"ark\""} +python-dateutil = ">=2.1" +six = ">=1.10" +urllib3 = ">=1.23" + +[package.extras] +ark = ["anyio (>=3.5.0,<5)", "cached-property", "httpx (>=0.23.0,<1)", "pydantic (>=1.9.0,<3)"] + [[package]] name = "watchfiles" version = "0.23.0" @@ -9634,4 +9669,4 @@ cffi = ["cffi (>=1.11)"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.13" -content-hash = "d7336115709114c2a4ff09b392f717e9c3547ae82b6a111d0c885c7a44269f02" +content-hash = "04f970820de691f40fc9fb30f5ff0618b0f1a04d3315b14467fb88e475fa1243" diff --git a/api/pyproject.toml b/api/pyproject.toml index e05a51dc13..0b2369663e 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -191,6 +191,7 @@ zhipuai = "1.0.7" # Related transparent dependencies with pinned verion # required by main implementations ############################################################ +volcengine-python-sdk = {extras = ["ark"], version = "^1.0.98"} [tool.poetry.group.indriect.dependencies] kaleido = "0.2.1" rank-bm25 = "~0.2.2" From 47919983bf6500bca9b5dd6fb1a7b6bd8c16dee9 Mon Sep 17 00:00:00 2001 From: Shota Totsuka <153569547+totsukash@users.noreply.github.com> Date: Sun, 25 Aug 2024 10:56:08 +0900 Subject: [PATCH 061/164] fix: typo in comment (#7606) --- api/controllers/service_api/app/app.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/controllers/service_api/app/app.py b/api/controllers/service_api/app/app.py index 3b3cf1b026..af8e38ed3c 100644 --- a/api/controllers/service_api/app/app.py +++ b/api/controllers/service_api/app/app.py @@ -92,7 +92,7 @@ class AppMetaApi(Resource): class AppInfoApi(Resource): @validate_app_token def get(self, app_model: App): - """Get app infomation""" + """Get app information""" return { 'name':app_model.name, 'description':app_model.description From 561a61e7fe2071ac50e796ffc01d4894406ea65a Mon Sep 17 00:00:00 2001 From: Seayon <153660639@qq.com> Date: Sun, 25 Aug 2024 13:36:16 +0800 Subject: [PATCH 062/164] Improve MIME type detection for image URLs (#6531) Co-authored-by: seayon --- .../model_runtime/model_providers/anthropic/llm/llm.py | 6 ++++-- api/core/model_runtime/model_providers/bedrock/llm/llm.py | 8 ++++---- api/core/model_runtime/model_providers/google/llm/llm.py | 6 ++++-- .../model_runtime/model_providers/vertex_ai/llm/llm.py | 5 ++++- 4 files changed, 16 insertions(+), 9 deletions(-) diff --git a/api/core/model_runtime/model_providers/anthropic/llm/llm.py b/api/core/model_runtime/model_providers/anthropic/llm/llm.py index 19ce401999..81be1a06a7 100644 --- a/api/core/model_runtime/model_providers/anthropic/llm/llm.py +++ b/api/core/model_runtime/model_providers/anthropic/llm/llm.py @@ -1,6 +1,6 @@ import base64 +import io import json -import mimetypes from collections.abc import Generator from typing import Optional, Union, cast @@ -18,6 +18,7 @@ from anthropic.types import ( ) from anthropic.types.beta.tools import ToolsBetaMessage from httpx import Timeout +from PIL import Image from core.model_runtime.callbacks.base_callback import Callback from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta @@ -462,7 +463,8 @@ class AnthropicLargeLanguageModel(LargeLanguageModel): # fetch image data from url try: image_content = requests.get(message_content.data).content - mime_type, _ = mimetypes.guess_type(message_content.data) + with Image.open(io.BytesIO(image_content)) as img: + mime_type = f"image/{img.format.lower()}" base64_data = base64.b64encode(image_content).decode('utf-8') except Exception as ex: raise ValueError(f"Failed to fetch image data from url {message_content.data}, {ex}") diff --git a/api/core/model_runtime/model_providers/bedrock/llm/llm.py b/api/core/model_runtime/model_providers/bedrock/llm/llm.py index 335fa493cd..3f7266f600 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/llm.py +++ b/api/core/model_runtime/model_providers/bedrock/llm/llm.py @@ -1,8 +1,8 @@ # standard import import base64 +import io import json import logging -import mimetypes from collections.abc import Generator from typing import Optional, Union, cast @@ -17,6 +17,7 @@ from botocore.exceptions import ( ServiceNotInRegionError, UnknownServiceError, ) +from PIL.Image import Image # local import from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta @@ -381,9 +382,8 @@ class BedrockLargeLanguageModel(LargeLanguageModel): try: url = message_content.data image_content = requests.get(url).content - if '?' in url: - url = url.split('?')[0] - mime_type, _ = mimetypes.guess_type(url) + with Image.open(io.BytesIO(image_content)) as img: + mime_type = f"image/{img.format.lower()}" base64_data = base64.b64encode(image_content).decode('utf-8') except Exception as ex: raise ValueError(f"Failed to fetch image data from url {message_content.data}, {ex}") diff --git a/api/core/model_runtime/model_providers/google/llm/llm.py b/api/core/model_runtime/model_providers/google/llm/llm.py index ebcd0af35b..84241fb6c8 100644 --- a/api/core/model_runtime/model_providers/google/llm/llm.py +++ b/api/core/model_runtime/model_providers/google/llm/llm.py @@ -1,7 +1,7 @@ import base64 +import io import json import logging -import mimetypes from collections.abc import Generator from typing import Optional, Union, cast @@ -12,6 +12,7 @@ import google.generativeai.client as client import requests from google.generativeai.types import ContentType, GenerateContentResponse, HarmBlockThreshold, HarmCategory from google.generativeai.types.content_types import to_part +from PIL import Image from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta from core.model_runtime.entities.message_entities import ( @@ -371,7 +372,8 @@ class GoogleLargeLanguageModel(LargeLanguageModel): # fetch image data from url try: image_content = requests.get(message_content.data).content - mime_type, _ = mimetypes.guess_type(message_content.data) + with Image.open(io.BytesIO(image_content)) as img: + mime_type = f"image/{img.format.lower()}" base64_data = base64.b64encode(image_content).decode('utf-8') except Exception as ex: raise ValueError(f"Failed to fetch image data from url {message_content.data}, {ex}") diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py b/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py index 8901549110..1a7368a2cf 100644 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py +++ b/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py @@ -1,4 +1,5 @@ import base64 +import io import json import logging from collections.abc import Generator @@ -18,6 +19,7 @@ from anthropic.types import ( ) from google.cloud import aiplatform from google.oauth2 import service_account +from PIL import Image from vertexai.generative_models import HarmBlockThreshold, HarmCategory from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage @@ -332,7 +334,8 @@ class VertexAiLargeLanguageModel(LargeLanguageModel): # fetch image data from url try: image_content = requests.get(message_content.data).content - mime_type, _ = mimetypes.guess_type(message_content.data) + with Image.open(io.BytesIO(image_content)) as img: + mime_type = f"image/{img.format.lower()}" base64_data = base64.b64encode(image_content).decode('utf-8') except Exception as ex: raise ValueError(f"Failed to fetch image data from url {message_content.data}, {ex}") From 556f4ad5df13e8aa838ea3e7ed28f85976f13c74 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=9D=9E=E6=B3=95=E6=93=8D=E4=BD=9C?= Date: Sun, 25 Aug 2024 14:39:58 +0800 Subject: [PATCH 063/164] feat: add siliconflow text2img tool (#7612) --- .../builtin/siliconflow/_assets/icon.svg | 1 + .../builtin/siliconflow/siliconflow.py | 19 +++ .../builtin/siliconflow/siliconflow.yaml | 21 +++ .../builtin/siliconflow/tools/flux.py | 44 +++++++ .../builtin/siliconflow/tools/flux.yaml | 73 +++++++++++ .../siliconflow/tools/stable_diffusion.py | 51 ++++++++ .../siliconflow/tools/stable_diffusion.yaml | 121 ++++++++++++++++++ 7 files changed, 330 insertions(+) create mode 100644 api/core/tools/provider/builtin/siliconflow/_assets/icon.svg create mode 100644 api/core/tools/provider/builtin/siliconflow/siliconflow.py create mode 100644 api/core/tools/provider/builtin/siliconflow/siliconflow.yaml create mode 100644 api/core/tools/provider/builtin/siliconflow/tools/flux.py create mode 100644 api/core/tools/provider/builtin/siliconflow/tools/flux.yaml create mode 100644 api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.py create mode 100644 api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.yaml diff --git a/api/core/tools/provider/builtin/siliconflow/_assets/icon.svg b/api/core/tools/provider/builtin/siliconflow/_assets/icon.svg new file mode 100644 index 0000000000..ad6b384f7a --- /dev/null +++ b/api/core/tools/provider/builtin/siliconflow/_assets/icon.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/api/core/tools/provider/builtin/siliconflow/siliconflow.py b/api/core/tools/provider/builtin/siliconflow/siliconflow.py new file mode 100644 index 0000000000..0df78280df --- /dev/null +++ b/api/core/tools/provider/builtin/siliconflow/siliconflow.py @@ -0,0 +1,19 @@ +import requests + +from core.tools.errors import ToolProviderCredentialValidationError +from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController + + +class SiliconflowProvider(BuiltinToolProviderController): + def _validate_credentials(self, credentials: dict) -> None: + url = "https://api.siliconflow.cn/v1/models" + headers = { + "accept": "application/json", + "authorization": f"Bearer {credentials.get('siliconFlow_api_key')}", + } + + response = requests.get(url, headers=headers) + if response.status_code != 200: + raise ToolProviderCredentialValidationError( + "SiliconFlow API key is invalid" + ) diff --git a/api/core/tools/provider/builtin/siliconflow/siliconflow.yaml b/api/core/tools/provider/builtin/siliconflow/siliconflow.yaml new file mode 100644 index 0000000000..46be99f262 --- /dev/null +++ b/api/core/tools/provider/builtin/siliconflow/siliconflow.yaml @@ -0,0 +1,21 @@ +identity: + author: hjlarry + name: siliconflow + label: + en_US: SiliconFlow + zh_CN: 硅基流动 + description: + en_US: The image generation API provided by SiliconFlow includes Flux and Stable Diffusion models. + zh_CN: 硅基流动提供的图片生成 API，包含 Flux 和 Stable Diffusion 模型。 + icon: icon.svg + tags: + - image +credentials_for_provider: + siliconFlow_api_key: + type: secret-input + required: true + label: + en_US: SiliconFlow API Key + placeholder: + en_US: Please input your SiliconFlow API key + url: https://cloud.siliconflow.cn/account/ak diff --git a/api/core/tools/provider/builtin/siliconflow/tools/flux.py b/api/core/tools/provider/builtin/siliconflow/tools/flux.py new file mode 100644 index 0000000000..ed9f4be574 --- /dev/null +++ b/api/core/tools/provider/builtin/siliconflow/tools/flux.py @@ -0,0 +1,44 @@ +from typing import Any, Union + +import requests + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.tool.builtin_tool import BuiltinTool + +FLUX_URL = ( + "https://api.siliconflow.cn/v1/black-forest-labs/FLUX.1-schnell/text-to-image" +) + + +class FluxTool(BuiltinTool): + + def _invoke( + self, user_id: str, tool_parameters: dict[str, Any] + ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: + + headers = { + "accept": "application/json", + "content-type": "application/json", + "authorization": f"Bearer {self.runtime.credentials['siliconFlow_api_key']}", + } + + payload = { + "prompt": tool_parameters.get("prompt"), + "image_size": tool_parameters.get("image_size", "1024x1024"), + "seed": tool_parameters.get("seed"), + "num_inference_steps": tool_parameters.get("num_inference_steps", 20), + } + + response = requests.post(FLUX_URL, json=payload, headers=headers) + if response.status_code != 200: + return self.create_text_message(f"Got Error Response:{response.text}") + + res = response.json() + result = [self.create_json_message(res)] + for image in res.get("images", []): + result.append( + self.create_image_message( + image=image.get("url"), save_as=self.VARIABLE_KEY.IMAGE.value + ) + ) + return result diff --git a/api/core/tools/provider/builtin/siliconflow/tools/flux.yaml b/api/core/tools/provider/builtin/siliconflow/tools/flux.yaml new file mode 100644 index 0000000000..2a0698700c --- /dev/null +++ b/api/core/tools/provider/builtin/siliconflow/tools/flux.yaml @@ -0,0 +1,73 @@ +identity: + name: flux + author: hjlarry + label: + en_US: Flux + icon: icon.svg +description: + human: + en_US: Generate image via SiliconFlow's flux schnell. + llm: This tool is used to generate image from prompt via SiliconFlow's flux schnell model. +parameters: + - name: prompt + type: string + required: true + label: + en_US: prompt + zh_Hans: 提示词 + human_description: + en_US: The text prompt used to generate the image. + zh_Hans: 用于生成图片的文字提示词 + llm_description: this prompt text will be used to generate image. + form: llm + - name: image_size + type: select + required: true + options: + - value: 1024x1024 + label: + en_US: 1024x1024 + - value: 768x1024 + label: + en_US: 768x1024 + - value: 576x1024 + label: + en_US: 576x1024 + - value: 512x1024 + label: + en_US: 512x1024 + - value: 1024x576 + label: + en_US: 1024x576 + - value: 768x512 + label: + en_US: 768x512 + default: 1024x1024 + label: + en_US: Choose Image Size + zh_Hans: 选择生成的图片大小 + form: form + - name: num_inference_steps + type: number + required: true + default: 20 + min: 1 + max: 100 + label: + en_US: Num Inference Steps + zh_Hans: 生成图片的步数 + form: form + human_description: + en_US: The number of inference steps to perform. More steps produce higher quality but take longer. + zh_Hans: 执行的推理步骤数量。更多的步骤可以产生更高质量的结果，但需要更长的时间。 + - name: seed + type: number + min: 0 + max: 9999999999 + label: + en_US: Seed + zh_Hans: 种子 + human_description: + en_US: The same seed and prompt can produce similar images. + zh_Hans: 相同的种子和提示可以产生相似的图像。 + form: form diff --git a/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.py b/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.py new file mode 100644 index 0000000000..e8134a6565 --- /dev/null +++ b/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.py @@ -0,0 +1,51 @@ +from typing import Any, Union + +import requests + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.tool.builtin_tool import BuiltinTool + +SDURL = { + "sd_3": "https://api.siliconflow.cn/v1/stabilityai/stable-diffusion-3-medium/text-to-image", + "sd_xl": "https://api.siliconflow.cn/v1/stabilityai/stable-diffusion-xl-base-1.0/text-to-image", +} + + +class StableDiffusionTool(BuiltinTool): + + def _invoke( + self, user_id: str, tool_parameters: dict[str, Any] + ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: + + headers = { + "accept": "application/json", + "content-type": "application/json", + "authorization": f"Bearer {self.runtime.credentials['siliconFlow_api_key']}", + } + + model = tool_parameters.get("model", "sd_3") + url = SDURL.get(model) + + payload = { + "prompt": tool_parameters.get("prompt"), + "negative_prompt": tool_parameters.get("negative_prompt", ""), + "image_size": tool_parameters.get("image_size", "1024x1024"), + "batch_size": tool_parameters.get("batch_size", 1), + "seed": tool_parameters.get("seed"), + "guidance_scale": tool_parameters.get("guidance_scale", 7.5), + "num_inference_steps": tool_parameters.get("num_inference_steps", 20), + } + + response = requests.post(url, json=payload, headers=headers) + if response.status_code != 200: + return self.create_text_message(f"Got Error Response:{response.text}") + + res = response.json() + result = [self.create_json_message(res)] + for image in res.get("images", []): + result.append( + self.create_image_message( + image=image.get("url"), save_as=self.VARIABLE_KEY.IMAGE.value + ) + ) + return result diff --git a/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.yaml b/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.yaml new file mode 100644 index 0000000000..abb541c485 --- /dev/null +++ b/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.yaml @@ -0,0 +1,121 @@ +identity: + name: stable_diffusion + author: hjlarry + label: + en_US: Stable Diffusion + icon: icon.svg +description: + human: + en_US: Generate image via SiliconFlow's stable diffusion model. + llm: This tool is used to generate image from prompt via SiliconFlow's stable diffusion model. +parameters: + - name: prompt + type: string + required: true + label: + en_US: prompt + zh_Hans: 提示词 + human_description: + en_US: The text prompt used to generate the image. + zh_Hans: 用于生成图片的文字提示词 + llm_description: this prompt text will be used to generate image. + form: llm + - name: negative_prompt + type: string + label: + en_US: negative prompt + zh_Hans: 负面提示词 + human_description: + en_US: Describe what you don't want included in the image. + zh_Hans: 描述您不希望包含在图片中的内容。 + llm_description: Describe what you don't want included in the image. + form: llm + - name: model + type: select + required: true + options: + - value: sd_3 + label: + en_US: Stable Diffusion 3 + - value: sd_xl + label: + en_US: Stable Diffusion XL + default: sd_3 + label: + en_US: Choose Image Model + zh_Hans: 选择生成图片的模型 + form: form + - name: image_size + type: select + required: true + options: + - value: 1024x1024 + label: + en_US: 1024x1024 + - value: 1024x2048 + label: + en_US: 1024x2048 + - value: 1152x2048 + label: + en_US: 1152x2048 + - value: 1536x1024 + label: + en_US: 1536x1024 + - value: 1536x2048 + label: + en_US: 1536x2048 + - value: 2048x1152 + label: + en_US: 2048x1152 + default: 1024x1024 + label: + en_US: Choose Image Size + zh_Hans: 选择生成图片的大小 + form: form + - name: batch_size + type: number + required: true + default: 1 + min: 1 + max: 4 + label: + en_US: Number Images + zh_Hans: 生成图片的数量 + form: form + - name: guidance_scale + type: number + required: true + default: 7 + min: 0 + max: 100 + label: + en_US: Guidance Scale + zh_Hans: 与提示词紧密性 + human_description: + en_US: Classifier Free Guidance. How close you want the model to stick to your prompt when looking for a related image to show you. + zh_Hans: 无分类器引导。您希望模型在寻找相关图片向您展示时，与您的提示保持多紧密的关联度。 + form: form + - name: num_inference_steps + type: number + required: true + default: 20 + min: 1 + max: 100 + label: + en_US: Num Inference Steps + zh_Hans: 生成图片的步数 + human_description: + en_US: The number of inference steps to perform. More steps produce higher quality but take longer. + zh_Hans: 执行的推理步骤数量。更多的步骤可以产生更高质量的结果，但需要更长的时间。 + form: form + - name: seed + type: number + min: 0 + max: 9999999999 + label: + en_US: Seed + zh_Hans: 种子 + human_description: + en_US: The same seed and prompt can produce similar images. + zh_Hans: 相同的种子和提示可以产生相似的图像。 + form: form From 741c548f3c0d348d9a3e252cffc7859a9fb4dd32 Mon Sep 17 00:00:00 2001 From: Joe <79627742+ZhouhaoJiang@users.noreply.github.com> Date: Sun, 25 Aug 2024 18:47:02 +0800 Subject: [PATCH 064/164] feat: web sso (#7135) --- api/controllers/web/passport.py | 10 ++++---- api/controllers/web/wraps.py | 23 ++++++++++++------- api/services/enterprise/enterprise_service.py | 4 ++++ api/services/feature_service.py | 3 ++- 4 files changed, 27 insertions(+), 13 deletions(-) diff --git a/api/controllers/web/passport.py b/api/controllers/web/passport.py index ccc8683a79..cce8943ead 100644 --- a/api/controllers/web/passport.py +++ b/api/controllers/web/passport.py @@ -9,21 +9,23 @@ from controllers.web.error import WebSSOAuthRequiredError from extensions.ext_database import db from libs.passport import PassportService from models.model import App, EndUser, Site +from services.enterprise.enterprise_service import EnterpriseService from services.feature_service import FeatureService class PassportResource(Resource): """Base resource for passport.""" def get(self): - system_features = FeatureService.get_system_features() - if system_features.sso_enforced_for_web: - raise WebSSOAuthRequiredError() - app_code = request.headers.get('X-App-Code') if app_code is None: raise Unauthorized('X-App-Code header is missing.') + if system_features.sso_enforced_for_web: + app_web_sso_enabled = EnterpriseService.get_app_web_sso_enabled(app_code).get('enabled', False) + if app_web_sso_enabled: + raise WebSSOAuthRequiredError() + # get site from db and check if it is normal site = db.session.query(Site).filter( Site.code == app_code, diff --git a/api/controllers/web/wraps.py b/api/controllers/web/wraps.py index f5ab49d7e1..ae363672c6 100644 --- a/api/controllers/web/wraps.py +++ b/api/controllers/web/wraps.py @@ -8,6 +8,7 @@ from controllers.web.error import WebSSOAuthRequiredError from extensions.ext_database import db from libs.passport import PassportService from models.model import App, EndUser, Site +from services.enterprise.enterprise_service import EnterpriseService from services.feature_service import FeatureService @@ -26,7 +27,7 @@ def validate_jwt_token(view=None): def decode_jwt_token(): system_features = FeatureService.get_system_features() - + app_code = request.headers.get('X-App-Code') try: auth_header = request.headers.get('Authorization') if auth_header is None: @@ -54,25 +55,31 @@ def decode_jwt_token(): if not end_user: raise NotFound() - _validate_web_sso_token(decoded, system_features) + _validate_web_sso_token(decoded, system_features, app_code) return app_model, end_user except Unauthorized as e: if system_features.sso_enforced_for_web: - raise WebSSOAuthRequiredError() + app_web_sso_enabled = EnterpriseService.get_app_web_sso_enabled(app_code).get('enabled', False) + if app_web_sso_enabled: + raise WebSSOAuthRequiredError() raise Unauthorized(e.description) -def _validate_web_sso_token(decoded, system_features): +def _validate_web_sso_token(decoded, system_features, app_code): + app_web_sso_enabled = False + # Check if SSO is enforced for web, and if the token source is not SSO, raise an error and redirect to SSO login if system_features.sso_enforced_for_web: - source = decoded.get('token_source') - if not source or source != 'sso': - raise WebSSOAuthRequiredError() + app_web_sso_enabled = EnterpriseService.get_app_web_sso_enabled(app_code).get('enabled', False) + if app_web_sso_enabled: + source = decoded.get('token_source') + if not source or source != 'sso': + raise WebSSOAuthRequiredError() # Check if SSO is not enforced for web, and if the token source is SSO, raise an error and redirect to normal passport login - if not system_features.sso_enforced_for_web: + if not system_features.sso_enforced_for_web or not app_web_sso_enabled: source = decoded.get('token_source') if source and source == 'sso': raise Unauthorized('sso token expired.') diff --git a/api/services/enterprise/enterprise_service.py b/api/services/enterprise/enterprise_service.py index 115d0d5523..6fd72c2321 100644 --- a/api/services/enterprise/enterprise_service.py +++ b/api/services/enterprise/enterprise_service.py @@ -6,3 +6,7 @@ class EnterpriseService: @classmethod def get_info(cls): return EnterpriseRequest.send_request('GET', '/info') + + @classmethod + def get_app_web_sso_enabled(cls, app_code): + return EnterpriseRequest.send_request('GET', f'/app-sso-setting?appCode={app_code}') diff --git a/api/services/feature_service.py b/api/services/feature_service.py index 83e675a9d2..57400e5951 100644 --- a/api/services/feature_service.py +++ b/api/services/feature_service.py @@ -41,7 +41,7 @@ class SystemFeatureModel(BaseModel): sso_enforced_for_signin_protocol: str = '' sso_enforced_for_web: bool = False sso_enforced_for_web_protocol: str = '' - + enable_web_sso_switch_component: bool = False class FeatureService: @@ -61,6 +61,7 @@ class FeatureService: system_features = SystemFeatureModel() if dify_config.ENTERPRISE_ENABLED: + system_features.enable_web_sso_switch_component = True cls._fulfill_params_from_enterprise(system_features) return system_features From 23cedc3f1ccdda4fef42eb763a51dbde7c2ff444 Mon Sep 17 00:00:00 2001 From: NFish Date: Sun, 25 Aug 2024 18:47:16 +0800 Subject: [PATCH 065/164] Web app now supports SSO config (#7137) --- .../app/(appDetailLayout)/[appId]/layout.tsx | 13 ++++++-- .../[appId]/overview/cardView.tsx | 32 ++++++++++++++++--- web/app/components/app/overview/appCard.tsx | 3 +- .../app/overview/settings/index.tsx | 25 +++++++++++++-- web/app/components/app/store.ts | 6 ++-- web/context/app-context.tsx | 11 ++++++- web/i18n/en-US/app-overview.ts | 6 ++++ web/i18n/zh-Hans/app-overview.ts | 6 ++++ web/models/app.ts | 3 +- web/service/apps.ts | 9 +++++- web/types/app.ts | 4 +++ web/types/feature.ts | 2 ++ 12 files changed, 102 insertions(+), 18 deletions(-) diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx index 09569df8bf..84ec157323 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx @@ -15,13 +15,14 @@ import { } from '@remixicon/react' import { useTranslation } from 'react-i18next' import { useShallow } from 'zustand/react/shallow' +import { useContextSelector } from 'use-context-selector' import s from './style.module.css' import cn from '@/utils/classnames' import { useStore } from '@/app/components/app/store' import AppSideBar from '@/app/components/app-sidebar' import type { NavIcon } from '@/app/components/app-sidebar/navLink' -import { fetchAppDetail } from '@/service/apps' -import { useAppContext } from '@/context/app-context' +import { fetchAppDetail, fetchAppSSO } from '@/service/apps' +import AppContext, { useAppContext } from '@/context/app-context' import Loading from '@/app/components/base/loading' import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints' @@ -52,6 +53,7 @@ const AppDetailLayout: FC = (props) => { icon: NavIcon selectedIcon: NavIcon }>>([]) + const systemFeatures = useContextSelector(AppContext, state => state.systemFeatures) const getNavigations = useCallback((appId: string, isCurrentWorkspaceEditor: boolean, mode: string) => { const navs = [ @@ -114,8 +116,13 @@ const AppDetailLayout: FC = (props) => { router.replace(`/app/${appId}/configuration`) } else { - setAppDetail(res) + setAppDetail({ ...res, enable_sso: false }) setNavigation(getNavigations(appId, isCurrentWorkspaceEditor, res.mode)) + if (systemFeatures.enable_web_sso_switch_component) { + fetchAppSSO({ appId }).then((ssoRes) => { + setAppDetail({ ...res, enable_sso: ssoRes.enabled }) + }) + } } }).catch((e: any) => { if (e.status === 404) diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/cardView.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/cardView.tsx index 5fa9a2e406..3584e13733 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/cardView.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/cardView.tsx @@ -2,22 +2,25 @@ import type { FC } from 'react' import React from 'react' import { useTranslation } from 'react-i18next' -import { useContext } from 'use-context-selector' +import { useContext, useContextSelector } from 'use-context-selector' import AppCard from '@/app/components/app/overview/appCard' import Loading from '@/app/components/base/loading' import { ToastContext } from '@/app/components/base/toast' import { fetchAppDetail, + fetchAppSSO, + updateAppSSO, updateAppSiteAccessToken, updateAppSiteConfig, updateAppSiteStatus, } from '@/service/apps' -import type { App } from '@/types/app' +import type { App, AppSSO } from '@/types/app' import type { UpdateAppSiteCodeResponse } from '@/models/app' import { asyncRunSafe } from '@/utils' import { NEED_REFRESH_APP_LIST_KEY } from '@/config' import type { IAppCardProps } from '@/app/components/app/overview/appCard' import { useStore as useAppStore } from '@/app/components/app/store' +import AppContext from '@/context/app-context' export type ICardViewProps = { appId: string @@ -28,11 +31,20 @@ const CardView: FC = ({ appId }) => { const { notify } = useContext(ToastContext) const appDetail = useAppStore(state => state.appDetail) const setAppDetail = useAppStore(state => state.setAppDetail) + const systemFeatures = useContextSelector(AppContext, state => state.systemFeatures) const updateAppDetail = async () => { - fetchAppDetail({ url: '/apps', id: appId }).then((res) => { - setAppDetail(res) - }) + try { + const res = await fetchAppDetail({ url: '/apps', id: appId }) + if (systemFeatures.enable_web_sso_switch_component) { + const ssoRes = await fetchAppSSO({ appId }) + setAppDetail({ ...res, enable_sso: ssoRes.enabled }) + } + else { + setAppDetail({ ...res }) + } + } + catch (error) { console.error(error) } } const handleCallbackResult = (err: Error | null, message?: string) => { @@ -81,6 +93,16 @@ const CardView: FC = ({ appId }) => { if (!err) localStorage.setItem(NEED_REFRESH_APP_LIST_KEY, '1') + if (systemFeatures.enable_web_sso_switch_component) { + const [sso_err] = await asyncRunSafe( + updateAppSSO({ id: appId, enabled: params.enable_sso }) as Promise, + ) + if (sso_err) { + handleCallbackResult(sso_err) + return + } + } + handleCallbackResult(err) } diff --git a/web/app/components/app/overview/appCard.tsx b/web/app/components/app/overview/appCard.tsx index ea0b793857..a7564120a2 100644 --- a/web/app/components/app/overview/appCard.tsx +++ b/web/app/components/app/overview/appCard.tsx @@ -27,10 +27,11 @@ import ShareQRCode from '@/app/components/base/qrcode' import SecretKeyButton from '@/app/components/develop/secret-key/secret-key-button' import type { AppDetailResponse } from '@/models/app' import { useAppContext } from '@/context/app-context' +import type { AppSSO } from '@/types/app' export type IAppCardProps = { className?: string - appInfo: AppDetailResponse + appInfo: AppDetailResponse & Partial cardType?: 'api' | 'webapp' customBgColor?: string onChangeStatus: (val: boolean) => Promise diff --git a/web/app/components/app/overview/settings/index.tsx b/web/app/components/app/overview/settings/index.tsx index 8da9b9864f..a67093183a 100644 --- a/web/app/components/app/overview/settings/index.tsx +++ b/web/app/components/app/overview/settings/index.tsx @@ -4,21 +4,25 @@ import React, { useEffect, useState } from 'react' import { ChevronRightIcon } from '@heroicons/react/20/solid' import Link from 'next/link' import { Trans, useTranslation } from 'react-i18next' +import { useContextSelector } from 'use-context-selector' import s from './style.module.css' import Modal from '@/app/components/base/modal' import Button from '@/app/components/base/button' import AppIcon from '@/app/components/base/app-icon' +import Switch from '@/app/components/base/switch' import { SimpleSelect } from '@/app/components/base/select' import type { AppDetailResponse } from '@/models/app' -import type { AppIconType, Language } from '@/types/app' +import type { AppIconType, AppSSO, Language } from '@/types/app' import { useToastContext } from '@/app/components/base/toast' import { languages } from '@/i18n/language' +import TooltipPlus from '@/app/components/base/tooltip-plus' +import AppContext from '@/context/app-context' import type { AppIconSelection } from '@/app/components/base/app-icon-picker' import AppIconPicker from '@/app/components/base/app-icon-picker' export type ISettingsModalProps = { isChat: boolean - appInfo: AppDetailResponse + appInfo: AppDetailResponse & Partial isShow: boolean defaultValue?: string onClose: () => void @@ -39,6 +43,7 @@ export type ConfigParams = { icon: string icon_background?: string show_workflow_steps: boolean + enable_sso?: boolean } const prefixSettings = 'appOverview.overview.appInfo.settings' @@ -50,6 +55,7 @@ const SettingsModal: FC = ({ onClose, onSave, }) => { + const systemFeatures = useContextSelector(AppContext, state => state.systemFeatures) const { notify } = useToastContext() const [isShowMore, setIsShowMore] = useState(false) const { @@ -76,6 +82,7 @@ const SettingsModal: FC = ({ privacyPolicy: privacy_policy, customDisclaimer: custom_disclaimer, show_workflow_steps, + enable_sso: appInfo.enable_sso, }) const [language, setLanguage] = useState(default_language) const [saveLoading, setSaveLoading] = useState(false) @@ -98,6 +105,7 @@ const SettingsModal: FC = ({ privacyPolicy: privacy_policy, customDisclaimer: custom_disclaimer, show_workflow_steps, + enable_sso: appInfo.enable_sso, }) setLanguage(default_language) setAppIcon(icon_type === 'image' @@ -149,6 +157,7 @@ const SettingsModal: FC = ({ icon: appIcon.type === 'emoji' ? appIcon.icon : appIcon.fileId, icon_background: appIcon.type === 'emoji' ? appIcon.background : undefined, show_workflow_steps: inputInfo.show_workflow_steps, + enable_sso: inputInfo.enable_sso, } await onSave?.(params) setSaveLoading(false) @@ -219,9 +228,19 @@ const SettingsModal: FC = ({ } + {systemFeatures.enable_web_sso_switch_component &&
+

{t(`${prefixSettings}.sso.label`)}

+
+
{t(`${prefixSettings}.sso.title`)}
+ {t(`${prefixSettings}.sso.tooltip`)}
}> + setInputInfo({ ...inputInfo, enable_sso: v })}> + +
+

{t(`${prefixSettings}.sso.description`)}

+
} {!isShowMore &&
setIsShowMore(true)}>
{t(`${prefixSettings}.more.entry`)}
diff --git a/web/app/components/app/store.ts b/web/app/components/app/store.ts index a89b96d65d..0209102372 100644 --- a/web/app/components/app/store.ts +++ b/web/app/components/app/store.ts @@ -1,9 +1,9 @@ import { create } from 'zustand' -import type { App } from '@/types/app' +import type { App, AppSSO } from '@/types/app' import type { IChatItem } from '@/app/components/base/chat/chat/type' type State = { - appDetail?: App + appDetail?: App & Partial appSidebarExpand: string currentLogItem?: IChatItem currentLogModalActiveTab: string @@ -13,7 +13,7 @@ type State = { } type Action = { - setAppDetail: (appDetail?: App) => void + setAppDetail: (appDetail?: App & Partial) => void setAppSiderbarExpand: (state: string) => void setCurrentLogItem: (item?: IChatItem) => void setCurrentLogModalActiveTab: (tab: string) => void diff --git a/web/context/app-context.tsx b/web/context/app-context.tsx index db28d28518..78ac1c9848 100644 --- a/web/context/app-context.tsx +++ b/web/context/app-context.tsx @@ -6,16 +6,19 @@ import { createContext, useContext, useContextSelector } from 'use-context-selec import type { FC, ReactNode } from 'react' import { fetchAppList } from '@/service/apps' import Loading from '@/app/components/base/loading' -import { fetchCurrentWorkspace, fetchLanggeniusVersion, fetchUserProfile } from '@/service/common' +import { fetchCurrentWorkspace, fetchLanggeniusVersion, fetchUserProfile, getSystemFeatures } from '@/service/common' import type { App } from '@/types/app' import { Theme } from '@/types/app' import type { ICurrentWorkspace, LangGeniusVersionResponse, UserProfileResponse } from '@/models/common' import MaintenanceNotice from '@/app/components/header/maintenance-notice' +import type { SystemFeatures } from '@/types/feature' +import { defaultSystemFeatures } from '@/types/feature' export type AppContextValue = { theme: Theme setTheme: (theme: Theme) => void apps: App[] + systemFeatures: SystemFeatures mutateApps: VoidFunction userProfile: UserProfileResponse mutateUserProfile: VoidFunction @@ -53,6 +56,7 @@ const initialWorkspaceInfo: ICurrentWorkspace = { const AppContext = createContext({ theme: Theme.light, + systemFeatures: defaultSystemFeatures, setTheme: () => { }, apps: [], mutateApps: () => { }, @@ -90,6 +94,10 @@ export const AppContextProvider: FC = ({ children }) => const { data: userProfileResponse, mutate: mutateUserProfile } = useSWR({ url: '/account/profile', params: {} }, fetchUserProfile) const { data: currentWorkspaceResponse, mutate: mutateCurrentWorkspace } = useSWR({ url: '/workspaces/current', params: {} }, fetchCurrentWorkspace) + const { data: systemFeatures } = useSWR({ url: '/console/system-features' }, getSystemFeatures, { + fallbackData: defaultSystemFeatures, + }) + const [userProfile, setUserProfile] = useState() const [langeniusVersionInfo, setLangeniusVersionInfo] = useState(initialLangeniusVersionInfo) const [currentWorkspace, setCurrentWorkspace] = useState(initialWorkspaceInfo) @@ -136,6 +144,7 @@ export const AppContextProvider: FC = ({ children }) => theme, setTheme: handleSetTheme, apps: appList.data, + systemFeatures, mutateApps, userProfile, mutateUserProfile, diff --git a/web/i18n/en-US/app-overview.ts b/web/i18n/en-US/app-overview.ts index 5bf0b44563..d5f619887d 100644 --- a/web/i18n/en-US/app-overview.ts +++ b/web/i18n/en-US/app-overview.ts @@ -53,6 +53,12 @@ const translation = { chatColorThemeDesc: 'Set the color theme of the chatbot', chatColorThemeInverted: 'Inverted', invalidHexMessage: 'Invalid hex value', + sso: { + label: 'SSO Authentication', + title: 'WebApp SSO', + description: 'All users are required to login with SSO before using WebApp', + tooltip: 'Contact the administrator to enable WebApp SSO', + }, more: { entry: 'Show more settings', copyright: 'Copyright', diff --git a/web/i18n/zh-Hans/app-overview.ts b/web/i18n/zh-Hans/app-overview.ts index 556dfe539e..7b4f61fc13 100644 --- a/web/i18n/zh-Hans/app-overview.ts +++ b/web/i18n/zh-Hans/app-overview.ts @@ -53,6 +53,12 @@ const translation = { chatColorThemeDesc: '设置聊天机器人的颜色主题', chatColorThemeInverted: '反转', invalidHexMessage: '无效的十六进制值', + sso: { + label: '单点登录认证', + title: 'WebApp SSO 认证', + description: '启用后，所有用户都需要先进行 SSO 认证才能访问', + tooltip: '联系管理员以开启 WebApp SSO 认证', + }, more: { entry: '展示更多设置', copyright: '版权', diff --git a/web/models/app.ts b/web/models/app.ts index 80d121c7a3..c0fc532a37 100644 --- a/web/models/app.ts +++ b/web/models/app.ts @@ -1,5 +1,5 @@ import type { LangFuseConfig, LangSmithConfig, TracingProvider } from '@/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type' -import type { App, AppTemplate, SiteConfig } from '@/types/app' +import type { App, AppSSO, AppTemplate, SiteConfig } from '@/types/app' /* export type App = { id: string @@ -67,6 +67,7 @@ export type AppListResponse = { } export type AppDetailResponse = App +export type AppSSOResponse = { enabled: AppSSO['enable_sso'] } export type AppTemplatesResponse = { data: AppTemplate[] diff --git a/web/service/apps.ts b/web/service/apps.ts index 7049af82cf..6beba7bc61 100644 --- a/web/service/apps.ts +++ b/web/service/apps.ts @@ -1,6 +1,6 @@ import type { Fetcher } from 'swr' import { del, get, patch, post, put } from './base' -import type { ApikeysListResponse, AppDailyConversationsResponse, AppDailyEndUsersResponse, AppDetailResponse, AppListResponse, AppStatisticsResponse, AppTemplatesResponse, AppTokenCostsResponse, AppVoicesListResponse, CreateApiKeyResponse, GenerationIntroductionResponse, TracingConfig, TracingStatus, UpdateAppModelConfigResponse, UpdateAppSiteCodeResponse, UpdateOpenAIKeyResponse, ValidateOpenAIKeyResponse, WorkflowDailyConversationsResponse } from '@/models/app' +import type { ApikeysListResponse, AppDailyConversationsResponse, AppDailyEndUsersResponse, AppDetailResponse, AppListResponse, AppSSOResponse, AppStatisticsResponse, AppTemplatesResponse, AppTokenCostsResponse, AppVoicesListResponse, CreateApiKeyResponse, GenerationIntroductionResponse, TracingConfig, TracingStatus, UpdateAppModelConfigResponse, UpdateAppSiteCodeResponse, UpdateOpenAIKeyResponse, ValidateOpenAIKeyResponse, WorkflowDailyConversationsResponse } from '@/models/app' import type { CommonResponse } from '@/models/common' import type { AppIconType, AppMode, ModelConfig } from '@/types/app' import type { TracingProvider } from '@/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type' @@ -13,6 +13,13 @@ export const fetchAppDetail = ({ url, id }: { url: string; id: string }) => { return get(`${url}/${id}`) } +export const fetchAppSSO = async ({ appId }: { appId: string }) => { + return get(`/enterprise/app-setting/sso?appID=${appId}`) +} +export const updateAppSSO = async ({ id, enabled }: { id: string; enabled: boolean }) => { + return post('/enterprise/app-setting/sso', { body: { app_id: id, enabled } }) +} + export const fetchAppTemplates: Fetcher = ({ url }) => { return get(url) } diff --git a/web/types/app.ts b/web/types/app.ts index ed3c24234d..fb8a407dd2 100644 --- a/web/types/app.ts +++ b/web/types/app.ts @@ -348,6 +348,10 @@ export type App = { tags: Tag[] } +export type AppSSO = { + enable_sso: boolean +} + /** * App Template */ diff --git a/web/types/feature.ts b/web/types/feature.ts index 89af9d21ab..b129da3aee 100644 --- a/web/types/feature.ts +++ b/web/types/feature.ts @@ -3,6 +3,7 @@ export type SystemFeatures = { sso_enforced_for_signin_protocol: string sso_enforced_for_web: boolean sso_enforced_for_web_protocol: string + enable_web_sso_switch_component: boolean } export const defaultSystemFeatures: SystemFeatures = { @@ -10,4 +11,5 @@ export const defaultSystemFeatures: SystemFeatures = { sso_enforced_for_signin_protocol: '', sso_enforced_for_web: false, sso_enforced_for_web_protocol: '', + enable_web_sso_switch_component: false, } From 1ba3d3acd6ecf253249f2f3b97e53868bee81cd9 Mon Sep 17 00:00:00 2001 From: crazywoola <100913391+crazywoola@users.noreply.github.com> Date: Mon, 26 Aug 2024 11:00:57 +0800 Subject: [PATCH 066/164] feat: replace show/hide workflow_steps with switch (#7627) --- .../app/overview/settings/index.tsx | 21 ++++++++++++------- web/i18n/en-US/app-overview.ts | 4 +++- web/i18n/zh-Hans/app-overview.ts | 4 +++- 3 files changed, 19 insertions(+), 10 deletions(-) diff --git a/web/app/components/app/overview/settings/index.tsx b/web/app/components/app/overview/settings/index.tsx index a67093183a..9e5d838ce6 100644 --- a/web/app/components/app/overview/settings/index.tsx +++ b/web/app/components/app/overview/settings/index.tsx @@ -215,14 +215,19 @@ const SettingsModal: FC = ({ defaultValue={language} onSelect={item => setLanguage(item.value as Language)} /> - {(appInfo.mode === 'workflow' || appInfo.mode === 'advanced-chat') && <> -
{t(`${prefixSettings}.workflow.title`)}
- setInputInfo({ ...inputInfo, show_workflow_steps: item.value === 'true' })} - /> - } +
+

{t(`${prefixSettings}.workflow.title`)}

+
+
{t(`${prefixSettings}.workflow.subTitle`)}
+ setInputInfo({ ...inputInfo, show_workflow_steps: v })} + /> +
+

{t(`${prefixSettings}.workflow.showDesc`)}

+
+ {isChat && <>
{t(`${prefixSettings}.chatColorTheme`)}

{t(`${prefixSettings}.chatColorThemeDesc`)}

Date: Mon, 26 Aug 2024 13:00:02 +0800 Subject: [PATCH 067/164] feat: tooltip (#7634) --- .../[appId]/overview/tracing/config-popup.tsx | 7 +- .../overview/tracing/toggle-fold-btn.tsx | 7 +- .../(commonLayout)/datasets/DatasetCard.tsx | 9 +- web/app/components/app-sidebar/basic.tsx | 20 +-- .../config-prompt/advanced-prompt-input.tsx | 13 +- .../config-prompt/simple-prompt-input.tsx | 15 +- .../app/configuration/config-var/index.tsx | 13 +- .../app/configuration/config-vision/index.tsx | 15 +- .../config-vision/param-config-content.tsx | 19 ++- .../config-voice/param-config-content.tsx | 19 ++- .../config/agent/agent-setting/item-panel.tsx | 5 +- .../config/agent/agent-tools/index.tsx | 32 +++-- .../dataset-config/card-item/index.tsx | 5 +- .../dataset-config/context-var/index.tsx | 16 +-- .../params-config/config-content.tsx | 40 +++--- .../model-parameter-trigger.tsx | 6 +- .../index.tsx | 17 ++- .../prompt-value-panel/index.tsx | 3 +- .../annotation/annotation-ctrl-btn/index.tsx | 16 ++- .../toolbox/annotation/config-param.tsx | 11 +- .../app/configuration/tools/index.tsx | 17 ++- .../components/app/create-app-modal/index.tsx | 22 ++- web/app/components/app/log/list.tsx | 22 ++- web/app/components/app/overview/appCard.tsx | 8 +- .../app/overview/embedded/index.tsx | 3 +- .../app/overview/settings/index.tsx | 12 +- web/app/components/base/audio-btn/index.tsx | 14 +- .../base/chat/chat/answer/operation.tsx | 20 ++- .../components/base/chat/chat/chat-input.tsx | 6 +- .../base/chat/embedded-chatbot/header.tsx | 4 +- .../base/chat/embedded-chatbot/index.tsx | 4 +- web/app/components/base/copy-btn/index.tsx | 8 +- .../components/base/copy-feedback/index.tsx | 17 +-- web/app/components/base/copy-icon/index.tsx | 6 +- .../index.tsx | 9 +- .../text-to-speech/param-config-content.tsx | 20 +-- .../base/image-uploader/image-list.tsx | 6 +- web/app/components/base/param-item/index.tsx | 12 +- .../workflow-variable-block/component.tsx | 6 +- web/app/components/base/qrcode/index.tsx | 5 +- .../components/base/tooltip-plus/index.tsx | 109 -------------- web/app/components/base/tooltip/index.tsx | 136 +++++++++++++----- .../components/billing/pricing/plan-item.tsx | 23 +-- .../billing/priority-label/index.tsx | 6 +- .../components/billing/usage-info/index.tsx | 13 +- .../common/retrieval-param-config/index.tsx | 20 ++- .../create/embedding-process/index.tsx | 16 ++- .../datasets/create/step-two/index.tsx | 18 ++- .../create/website/firecrawl/base/field.tsx | 16 +-- .../documents/detail/metadata/index.tsx | 4 +- .../components/datasets/documents/list.tsx | 28 ++-- .../datasets/hit-testing/textarea.tsx | 8 +- .../develop/secret-key/input-copy.tsx | 31 ++-- .../develop/secret-key/secret-key-modal.tsx | 5 +- .../members-page/invited-modal/index.tsx | 8 +- .../invited-modal/invitation-link.tsx | 8 +- .../model-provider-page/model-modal/Form.tsx | 6 +- .../model-parameter-modal/parameter-item.tsx | 13 +- .../model-parameter-modal/trigger.tsx | 6 +- .../deprecated-model-trigger.tsx | 6 +- .../model-selector/feature-icon.tsx | 26 ++-- .../model-selector/model-trigger.tsx | 6 +- .../model-selector/popup-item.tsx | 3 +- .../provider-added-card/cooldown-timer.tsx | 6 +- .../provider-added-card/model-list-item.tsx | 11 +- .../model-load-balancing-configs.tsx | 15 +- .../provider-added-card/priority-use-tip.tsx | 3 +- .../provider-added-card/quota-panel.tsx | 10 +- .../system-model-selector/index.tsx | 66 ++++----- .../share/text-generation/result/header.tsx | 14 +- .../components/tools/add-tool-modal/tools.tsx | 7 +- .../config-credentials.tsx | 13 +- .../components/tools/workflow-tool/index.tsx | 10 +- .../workflow/block-selector/blocks.tsx | 6 +- .../workflow/block-selector/tools.tsx | 8 +- .../workflow/header/view-history.tsx | 6 +- .../workflow/nodes/_base/components/field.tsx | 14 +- .../nodes/_base/components/help-link.tsx | 6 +- .../components/input-support-select-var.tsx | 6 +- .../nodes/_base/components/node-control.tsx | 7 +- .../nodes/_base/components/option-card.tsx | 19 +-- .../nodes/_base/components/prompt/editor.tsx | 13 +- .../components/workflow/nodes/_base/panel.tsx | 7 +- .../workflow/nodes/iteration/add-block.tsx | 6 +- .../llm/components/config-prompt-item.tsx | 10 +- .../components/workflow/nodes/llm/panel.tsx | 17 +-- .../nodes/parameter-extractor/panel.tsx | 19 ++- .../components/advanced-setting.tsx | 19 ++- .../note-node/note-editor/toolbar/command.tsx | 8 +- .../workflow/operator/tip-popup.tsx | 7 +- .../panel/debug-and-preview/index.tsx | 14 +- .../panel/env-panel/variable-modal.tsx | 19 +-- web/app/signin/oneMoreStep.tsx | 8 +- 93 files changed, 640 insertions(+), 758 deletions(-) delete mode 100644 web/app/components/base/tooltip-plus/index.tsx diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx index 7744bab7ba..8e3d8f9ec6 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx @@ -10,7 +10,7 @@ import { TracingProvider } from './type' import ProviderConfigModal from './provider-config-modal' import Indicator from '@/app/components/header/indicator' import Switch from '@/app/components/base/switch' -import TooltipPlus from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' const I18N_PREFIX = 'app.tracing' @@ -121,12 +121,11 @@ const ConfigPopup: FC = ({ <> {providerAllNotConfigured ? ( - {switchContent} - - + ) : switchContent} diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/toggle-fold-btn.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/toggle-fold-btn.tsx index 9119deede8..934eb681b9 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/toggle-fold-btn.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/toggle-fold-btn.tsx @@ -3,7 +3,7 @@ import { ChevronDoubleDownIcon } from '@heroicons/react/20/solid' import type { FC } from 'react' import { useTranslation } from 'react-i18next' import React, { useCallback } from 'react' -import TooltipPlus from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' const I18N_PREFIX = 'app.tracing' @@ -25,9 +25,8 @@ const ToggleFoldBtn: FC = ({ return ( // text-[0px] to hide spacing between tooltip elements
- {isFold && (
@@ -39,7 +38,7 @@ const ToggleFoldBtn: FC = ({
)} - +
) } diff --git a/web/app/(commonLayout)/datasets/DatasetCard.tsx b/web/app/(commonLayout)/datasets/DatasetCard.tsx index 096d9d357e..f66c6bccf4 100644 --- a/web/app/(commonLayout)/datasets/DatasetCard.tsx +++ b/web/app/(commonLayout)/datasets/DatasetCard.tsx @@ -4,9 +4,7 @@ import { useContext } from 'use-context-selector' import { useRouter } from 'next/navigation' import { useCallback, useEffect, useState } from 'react' import { useTranslation } from 'react-i18next' -import { - RiMoreFill, -} from '@remixicon/react' +import { RiMoreFill } from '@remixicon/react' import cn from '@/utils/classnames' import Confirm from '@/app/components/base/confirm' import { ToastContext } from '@/app/components/base/toast' @@ -129,10 +127,9 @@ const DatasetCard = ({
{dataset.name}
{!dataset.embedding_available && ( - {t('dataset.unavailable')} + {t('dataset.unavailable')} )}
diff --git a/web/app/components/app-sidebar/basic.tsx b/web/app/components/app-sidebar/basic.tsx index f1388f41de..c939cb7bb3 100644 --- a/web/app/components/app-sidebar/basic.tsx +++ b/web/app/components/app-sidebar/basic.tsx @@ -1,10 +1,6 @@ import React from 'react' -import { - InformationCircleIcon, -} from '@heroicons/react/24/outline' -import Tooltip from '../base/tooltip' import AppIcon from '../base/app-icon' -import { randomString } from '@/utils' +import Tooltip from '@/app/components/base/tooltip' export type IAppBasicProps = { iconType?: 'app' | 'api' | 'dataset' | 'webapp' | 'notion' @@ -74,9 +70,17 @@ export default function AppBasic({ icon, icon_background, name, type, hoverTip,
{name} {hoverTip - && - - } + && + {hoverTip} +
+ } + popupClassName='ml-1' + triggerClassName='w-4 h-4 ml-1' + position='top' + /> + }
{type}
} diff --git a/web/app/components/app/configuration/config-prompt/advanced-prompt-input.tsx b/web/app/components/app/configuration/config-prompt/advanced-prompt-input.tsx index fb3ceadc0d..a07fe69821 100644 --- a/web/app/components/app/configuration/config-prompt/advanced-prompt-input.tsx +++ b/web/app/components/app/configuration/config-prompt/advanced-prompt-input.tsx @@ -9,7 +9,6 @@ import produce from 'immer' import { RiDeleteBinLine, RiErrorWarningFill, - RiQuestionLine, } from '@remixicon/react' import s from './style.module.css' import MessageTypeSelector from './message-type-selector' @@ -174,12 +173,12 @@ const AdvancedPromptInput: FC = ({
{t('appDebug.pageTitle.line1')}
- {t('appDebug.promptTip')} -
} - selector='config-prompt-tooltip'> - - + popupContent={ +
+ {t('appDebug.promptTip')} +
+ } + />
)}
{canDelete && ( diff --git a/web/app/components/app/configuration/config-prompt/simple-prompt-input.tsx b/web/app/components/app/configuration/config-prompt/simple-prompt-input.tsx index adcfcdd126..69e01a8e22 100644 --- a/web/app/components/app/configuration/config-prompt/simple-prompt-input.tsx +++ b/web/app/components/app/configuration/config-prompt/simple-prompt-input.tsx @@ -3,9 +3,6 @@ import type { FC } from 'react' import React, { useState } from 'react' import { useTranslation } from 'react-i18next' import { useBoolean } from 'ahooks' -import { - RiQuestionLine, -} from '@remixicon/react' import produce from 'immer' import { useContext } from 'use-context-selector' import ConfirmAddVar from './confirm-add-var' @@ -156,12 +153,12 @@ const Prompt: FC = ({
{mode !== AppType.completion ? t('appDebug.chatSubTitle') : t('appDebug.completionSubTitle')}
{!readonly && ( - {t('appDebug.promptTip')} -
} - selector='config-prompt-tooltip'> - - + popupContent={ +
+ {t('appDebug.promptTip')} +
+ } + /> )}
diff --git a/web/app/components/app/configuration/config-var/index.tsx b/web/app/components/app/configuration/config-var/index.tsx index 82a220c6db..802528e0af 100644 --- a/web/app/components/app/configuration/config-var/index.tsx +++ b/web/app/components/app/configuration/config-var/index.tsx @@ -8,7 +8,6 @@ import { useContext } from 'use-context-selector' import produce from 'immer' import { RiDeleteBinLine, - RiQuestionLine, } from '@remixicon/react' import Panel from '../base/feature-panel' import EditModal from './config-modal' @@ -282,11 +281,13 @@ const ConfigVar: FC = ({ promptVariables, readonly, onPromptVar
{t('appDebug.variableTitle')}
{!readonly && ( - - {t('appDebug.variableTip')} -
} selector='config-var-tooltip'> - - + + {t('appDebug.variableTip')} +
+ } + /> )}
} diff --git a/web/app/components/app/configuration/config-vision/index.tsx b/web/app/components/app/configuration/config-vision/index.tsx index 9b12e059b5..515709bff1 100644 --- a/web/app/components/app/configuration/config-vision/index.tsx +++ b/web/app/components/app/configuration/config-vision/index.tsx @@ -2,9 +2,6 @@ import type { FC } from 'react' import React from 'react' import { useTranslation } from 'react-i18next' -import { - RiQuestionLine, -} from '@remixicon/react' import { useContext } from 'use-context-selector' import Panel from '../base/feature-panel' import ParamConfig from './param-config' @@ -33,11 +30,13 @@ const ConfigVision: FC = () => { title={
{t('appDebug.vision.name')}
- - {t('appDebug.vision.description')} -
} selector='config-vision-tooltip'> - - + + {t('appDebug.vision.description')} +
+ } + /> } headerRight={ diff --git a/web/app/components/app/configuration/config-vision/param-config-content.tsx b/web/app/components/app/configuration/config-vision/param-config-content.tsx index 89fad411e7..cb01f57254 100644 --- a/web/app/components/app/configuration/config-vision/param-config-content.tsx +++ b/web/app/components/app/configuration/config-vision/param-config-content.tsx @@ -3,9 +3,6 @@ import type { FC } from 'react' import React from 'react' import { useContext } from 'use-context-selector' import { useTranslation } from 'react-i18next' -import { - RiQuestionLine, -} from '@remixicon/react' import RadioGroup from './radio-group' import ConfigContext from '@/context/debug-configuration' import { Resolution, TransferMethod } from '@/types/app' @@ -37,13 +34,15 @@ const ParamConfigContent: FC = () => {
{t('appDebug.vision.visionSettings.resolution')}
- - {t('appDebug.vision.visionSettings.resolutionTooltip').split('\n').map(item => ( -
{item}
- ))} -
} selector='config-resolution-tooltip'> - - + + {t('appDebug.vision.visionSettings.resolutionTooltip').split('\n').map(item => ( +
{item}
+ ))} +
+ } + /> {
{t('appDebug.voice.voiceSettings.language')}
- - {t('appDebug.voice.voiceSettings.resolutionTooltip').split('\n').map(item => ( -
{item}
- ))} -
} selector='config-resolution-tooltip'> - - + + {t('appDebug.voice.voiceSettings.resolutionTooltip').split('\n').map(item => ( +
{item}
+ ))} + + } + /> = ({ {icon}
{name}
{description} } - selector={`agent-setting-tooltip-${name}`} > -
diff --git a/web/app/components/app/configuration/config/agent/agent-tools/index.tsx b/web/app/components/app/configuration/config/agent/agent-tools/index.tsx index 16f2257c38..1280fd8928 100644 --- a/web/app/components/app/configuration/config/agent/agent-tools/index.tsx +++ b/web/app/components/app/configuration/config/agent/agent-tools/index.tsx @@ -7,13 +7,11 @@ import produce from 'immer' import { RiDeleteBinLine, RiHammerFill, - RiQuestionLine, } from '@remixicon/react' import { useFormattingChangedDispatcher } from '../../../debug/hooks' import SettingBuiltInTool from './setting-built-in-tool' import cn from '@/utils/classnames' import Panel from '@/app/components/app/configuration/base/feature-panel' -import Tooltip from '@/app/components/base/tooltip' import { InfoCircle } from '@/app/components/base/icons/src/vender/line/general' import OperationBtn from '@/app/components/app/configuration/base/operation-btn' import AppIcon from '@/app/components/base/app-icon' @@ -23,7 +21,7 @@ import type { AgentTool } from '@/types/app' import { type Collection, CollectionType } from '@/app/components/tools/types' import { MAX_TOOLS_NUM } from '@/config' import { AlertTriangle } from '@/app/components/base/icons/src/vender/solid/alertsAndFeedback' -import TooltipPlus from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' import { DefaultToolIcon } from '@/app/components/base/icons/src/public/other' import AddToolModal from '@/app/components/tools/add-tool-modal' @@ -68,11 +66,13 @@ const AgentTools: FC = () => { title={
{t('appDebug.agent.tools.name')}
- - {t('appDebug.agent.tools.description')} -
} selector='config-tools-tooltip'> - - + + {t('appDebug.agent.tools.description')} +
+ } + /> } headerRight={ @@ -119,19 +119,20 @@ const AgentTools: FC = () => { className={cn((item.isDeleted || item.notAuthor) ? 'line-through opacity-50' : '', 'grow w-0 ml-2 leading-[18px] text-[13px] font-medium text-gray-800 truncate')} > {item.provider_type === CollectionType.builtIn ? item.provider_name : item.tool_label} - {item.tool_name} - +
{(item.isDeleted || item.notAuthor) ? (
-
{ if (item.notAuthor) @@ -139,7 +140,7 @@ const AgentTools: FC = () => { }}>
- +
{ const newModelConfig = produce(modelConfig, (draft) => { @@ -155,16 +156,17 @@ const AgentTools: FC = () => { ) : (
- -
{ +
{ setCurrentTool(item) setIsShowSettingTool(true) }}>
- +
{ const newModelConfig = produce(modelConfig, (draft) => { diff --git a/web/app/components/app/configuration/dataset-config/card-item/index.tsx b/web/app/components/app/configuration/dataset-config/card-item/index.tsx index 7b369d9d79..a528b2288c 100644 --- a/web/app/components/app/configuration/dataset-config/card-item/index.tsx +++ b/web/app/components/app/configuration/dataset-config/card-item/index.tsx @@ -39,10 +39,9 @@ const CardItem: FC = ({
{config.name}
{!config.embedding_available && ( - {t('dataset.unavailable')} + {t('dataset.unavailable')} )}
diff --git a/web/app/components/app/configuration/dataset-config/context-var/index.tsx b/web/app/components/app/configuration/dataset-config/context-var/index.tsx index be0ae47242..0de182b0a9 100644 --- a/web/app/components/app/configuration/dataset-config/context-var/index.tsx +++ b/web/app/components/app/configuration/dataset-config/context-var/index.tsx @@ -2,9 +2,6 @@ import type { FC } from 'react' import React from 'react' import { useTranslation } from 'react-i18next' -import { - RiQuestionLine, -} from '@remixicon/react' import type { Props } from './var-picker' import VarPicker from './var-picker' import cn from '@/utils/classnames' @@ -24,13 +21,12 @@ const ContextVar: FC = (props) => {
{t('appDebug.feature.dataSet.queryVariable.title')}
- {t('appDebug.feature.dataSet.queryVariable.tip')} -
} - selector='context-var-tooltip' - > - - + popupContent={ +
+ {t('appDebug.feature.dataSet.queryVariable.tip')} +
+ } + />
diff --git a/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx b/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx index 3656bf6ea7..7f55649dab 100644 --- a/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx +++ b/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx @@ -5,7 +5,6 @@ import type { FC } from 'react' import { useTranslation } from 'react-i18next' import { RiAlertFill, - RiQuestionLine, } from '@remixicon/react' import WeightedScore from './weighted-score' import TopKItem from '@/app/components/base/param-item/top-k-item' @@ -23,7 +22,7 @@ import ModelSelector from '@/app/components/header/account-setting/model-provide import { useModelListAndDefaultModelAndCurrentProviderAndModel } from '@/app/components/header/account-setting/model-provider-page/hooks' import type { ModelConfig } from '@/app/components/workflow/types' import ModelParameterModal from '@/app/components/header/account-setting/model-provider-page/model-parameter-modal' -import TooltipPlus from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' import { ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' import type { DataSet, @@ -173,7 +172,7 @@ const ConfigContent: FC = ({ title={(
{t('appDebug.datasetConfig.retrieveOneWay.title')} - {t('dataset.nTo1RetrievalLegacy')} @@ -181,7 +180,7 @@ const ConfigContent: FC = ({ )} >
legacy
- +
)} description={t('appDebug.datasetConfig.retrieveOneWay.description')} @@ -250,12 +249,15 @@ const ConfigContent: FC = ({ onClick={() => handleRerankModeChange(option.value)} >
{option.label}
- {option.tips}
} - hideArrow - > - - + + {option.tips} +
+ } + popupClassName='ml-0.5' + triggerClassName='ml-0.5 w-3.5 h-3.5' + /> )) } @@ -281,9 +283,15 @@ const ConfigContent: FC = ({ ) }
{t('common.modelProvider.rerankModel.key')}
- {t('common.modelProvider.rerankModel.tip')}}> - - + + {t('common.modelProvider.rerankModel.tip')} + + } + popupClassName='ml-0.5' + triggerClassName='ml-0.5 w-3.5 h-3.5' + />
= ({
{t('common.modelProvider.systemReasoningModel.key')}
- - - + />
= ({ { currentModel && currentModel.status !== ModelStatusEnum.active && ( - + - + ) }
diff --git a/web/app/components/app/configuration/features/chat-group/suggested-questions-after-answer/index.tsx b/web/app/components/app/configuration/features/chat-group/suggested-questions-after-answer/index.tsx index e27eec46c8..199558f4aa 100644 --- a/web/app/components/app/configuration/features/chat-group/suggested-questions-after-answer/index.tsx +++ b/web/app/components/app/configuration/features/chat-group/suggested-questions-after-answer/index.tsx @@ -2,9 +2,6 @@ import type { FC } from 'react' import React from 'react' import { useTranslation } from 'react-i18next' -import { - RiQuestionLine, -} from '@remixicon/react' import Panel from '@/app/components/app/configuration/base/feature-panel' import SuggestedQuestionsAfterAnswerIcon from '@/app/components/app/configuration/base/icons/suggested-questions-after-answer-icon' import Tooltip from '@/app/components/base/tooltip' @@ -15,13 +12,15 @@ const SuggestedQuestionsAfterAnswer: FC = () => { return ( +
{t('appDebug.feature.suggestedQuestionsAfterAnswer.title')}
- - {t('appDebug.feature.suggestedQuestionsAfterAnswer.description')} -
} selector='suggestion-question-tooltip'> - - + + {t('appDebug.feature.suggestedQuestionsAfterAnswer.description')} +
+ } + /> } headerIcon={} diff --git a/web/app/components/app/configuration/prompt-value-panel/index.tsx b/web/app/components/app/configuration/prompt-value-panel/index.tsx index 0192024c83..dc9b0a4333 100644 --- a/web/app/components/app/configuration/prompt-value-panel/index.tsx +++ b/web/app/components/app/configuration/prompt-value-panel/index.tsx @@ -16,7 +16,7 @@ import { AppType, ModelModeType } from '@/types/app' import Select from '@/app/components/base/select' import { DEFAULT_VALUE_MAX_LEN } from '@/config' import Button from '@/app/components/base/button' -import Tooltip from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' import TextGenerationImageUploader from '@/app/components/base/image-uploader/text-generation-image-uploader' import type { VisionFile, VisionSettings } from '@/types/app' @@ -207,6 +207,7 @@ const PromptValuePanel: FC = ({ {canNotRun ? ( {renderRunButton()} ) diff --git a/web/app/components/app/configuration/toolbox/annotation/annotation-ctrl-btn/index.tsx b/web/app/components/app/configuration/toolbox/annotation/annotation-ctrl-btn/index.tsx index b2c6792107..111c380afc 100644 --- a/web/app/components/app/configuration/toolbox/annotation/annotation-ctrl-btn/index.tsx +++ b/web/app/components/app/configuration/toolbox/annotation/annotation-ctrl-btn/index.tsx @@ -8,7 +8,7 @@ import { MessageCheckRemove, MessageFastPlus } from '@/app/components/base/icons import { MessageFast } from '@/app/components/base/icons/src/vender/solid/communication' import { Edit04 } from '@/app/components/base/icons/src/vender/line/general' import RemoveAnnotationConfirmModal from '@/app/components/app/annotation/remove-annotation-confirm-modal' -import TooltipPlus from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' import { addAnnotation, delAnnotation } from '@/service/annotation' import Toast from '@/app/components/base/toast' import { useProviderContext } from '@/context/provider-context' @@ -99,8 +99,9 @@ const CacheCtrlBtn: FC = ({ ) : answer ? ( -
= ({ >
- + ) : null } -
= ({ >
- +
{title}
- {tooltip}
} - > - - + />
{children}
diff --git a/web/app/components/app/configuration/tools/index.tsx b/web/app/components/app/configuration/tools/index.tsx index 2ec8f55441..03525d7232 100644 --- a/web/app/components/app/configuration/tools/index.tsx +++ b/web/app/components/app/configuration/tools/index.tsx @@ -7,11 +7,10 @@ import { RiAddLine, RiArrowDownSLine, RiDeleteBinLine, - RiQuestionLine, } from '@remixicon/react' import ConfigContext from '@/context/debug-configuration' import Switch from '@/app/components/base/switch' -import TooltipPlus from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' import { Tool03 } from '@/app/components/base/icons/src/vender/solid/general' import { Settings01, @@ -107,9 +106,13 @@ const Tools = () => {
{t('appDebug.feature.tools.title')}
- {t('appDebug.feature.tools.tips')}}> - - + + {t('appDebug.feature.tools.tips')} + + } + /> { !expanded && !!externalDataToolsConfig.length && ( @@ -143,7 +146,7 @@ const Tools = () => { background={item.icon_background} />
{item.label}
-
{ > {item.variable}
- +
{
{t('app.newApp.captionAppType')}
- {t('app.newApp.chatbotDescription')}
} @@ -120,9 +119,8 @@ const CreateAppModal = ({ show, onSuccess, onClose }: CreateAppDialogProps) => {
{t('app.types.chatbot')}
- - +
{t('app.newApp.completionDescription')}
@@ -143,9 +141,8 @@ const CreateAppModal = ({ show, onSuccess, onClose }: CreateAppDialogProps) => {
{t('app.newApp.completeApp')}
- - + {t('app.newApp.agentDescription')} } @@ -164,9 +161,8 @@ const CreateAppModal = ({ show, onSuccess, onClose }: CreateAppDialogProps) => {
{t('app.types.agent')}
- - +
{t('app.newApp.workflowDescription')}
@@ -188,7 +184,7 @@ const CreateAppModal = ({ show, onSuccess, onClose }: CreateAppDialogProps) => {
{t('app.types.workflow')}
BETA - + {showChatBotType && ( diff --git a/web/app/components/app/log/list.tsx b/web/app/components/app/log/list.tsx index 40d171761b..2258b69394 100644 --- a/web/app/components/app/log/list.tsx +++ b/web/app/components/app/log/list.tsx @@ -5,10 +5,9 @@ import useSWR from 'swr' import { HandThumbDownIcon, HandThumbUpIcon, - InformationCircleIcon, XMarkIcon, } from '@heroicons/react/24/outline' -import { RiEditFill } from '@remixicon/react' +import { RiEditFill, RiQuestionLine } from '@remixicon/react' import { get } from 'lodash-es' import InfiniteScroll from 'react-infinite-scroll-component' import dayjs from 'dayjs' @@ -20,7 +19,6 @@ import { useTranslation } from 'react-i18next' import s from './style.module.css' import VarPanel from './var-panel' import cn from '@/utils/classnames' -import { randomString } from '@/utils' import type { FeedbackFunc, Feedbacktype, IChatItem, SubmitAnnotationFunc } from '@/app/components/base/chat/chat/type' import type { Annotation, ChatConversationFullDetailResponse, ChatConversationGeneralDetail, ChatConversationsResponse, ChatMessage, ChatMessagesRequest, CompletionConversationFullDetailResponse, CompletionConversationGeneralDetail, CompletionConversationsResponse, LogAnnotation } from '@/models/log' import type { App } from '@/types/app' @@ -28,7 +26,6 @@ import Loading from '@/app/components/base/loading' import Drawer from '@/app/components/base/drawer' import Popover from '@/app/components/base/popover' import Chat from '@/app/components/base/chat/chat' -import Tooltip from '@/app/components/base/tooltip' import { ToastContext } from '@/app/components/base/toast' import { fetchChatConversationDetail, fetchChatMessages, fetchCompletionConversationDetail, updateLogMessageAnnotations, updateLogMessageFeedbacks } from '@/service/log' import { TONE_LIST } from '@/config' @@ -42,7 +39,7 @@ import MessageLogModal from '@/app/components/base/message-log-modal' import { useStore as useAppStore } from '@/app/components/app/store' import { useAppContext } from '@/context/app-context' import useTimestamp from '@/hooks/use-timestamp' -import TooltipPlus from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' import { CopyIcon } from '@/app/components/base/copy-icon' dayjs.extend(utc) @@ -346,11 +343,11 @@ function DetailPanel{isChatMode ? t('appLog.detail.conversationId') : t('appLog.detail.time')} {isChatMode && (
- +
{detail.id}
- +
)} @@ -380,7 +377,7 @@ function DetailPanel {targetTone} - + } htmlContent={
@@ -641,13 +638,12 @@ const ConversationList: FC = ({ logs, appDetail, onRefresh }) const renderTdValue = (value: string | number | null, isEmptyStyle: boolean, isHighlight = false, annotation?: LogAnnotation) => { return ( {`${t('appLog.detail.annotationTip', { user: annotation?.account?.name })} ${formatTime(annotation?.created_at || dayjs().unix(), 'MM-DD hh:mm A')}`} } - className={(isHighlight && !isChatMode) ? '' : '!hidden'} - selector={`highlight-${randomString(16)}`} + popupClassName={(isHighlight && !isChatMode) ? '' : '!hidden'} >
{value || '-'} diff --git a/web/app/components/app/overview/appCard.tsx b/web/app/components/app/overview/appCard.tsx index a7564120a2..0d0b95c0a0 100644 --- a/web/app/components/app/overview/appCard.tsx +++ b/web/app/components/app/overview/appCard.tsx @@ -195,8 +195,7 @@ function AppCard({ )} {isApp && isCurrentWorkspaceManager && (
diff --git a/web/app/components/app/overview/embedded/index.tsx b/web/app/components/app/overview/embedded/index.tsx index 9e5d5af0da..fa023192c9 100644 --- a/web/app/components/app/overview/embedded/index.tsx +++ b/web/app/components/app/overview/embedded/index.tsx @@ -153,8 +153,7 @@ const Embedded = ({ siteInfo, isShow, onClose, appBaseUrl, accessToken, classNam
diff --git a/web/app/components/app/overview/settings/index.tsx b/web/app/components/app/overview/settings/index.tsx index 9e5d838ce6..02eff06c0a 100644 --- a/web/app/components/app/overview/settings/index.tsx +++ b/web/app/components/app/overview/settings/index.tsx @@ -15,7 +15,7 @@ import type { AppDetailResponse } from '@/models/app' import type { AppIconType, AppSSO, Language } from '@/types/app' import { useToastContext } from '@/app/components/base/toast' import { languages } from '@/i18n/language' -import TooltipPlus from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' import AppContext from '@/context/app-context' import type { AppIconSelection } from '@/app/components/base/app-icon-picker' import AppIconPicker from '@/app/components/base/app-icon-picker' @@ -240,9 +240,15 @@ const SettingsModal: FC = ({

{t(`${prefixSettings}.sso.label`)}

{t(`${prefixSettings}.sso.title`)}
- {t(`${prefixSettings}.sso.tooltip`)}
}> + {t(`${prefixSettings}.sso.tooltip`)}
+ } + asChild={false} + > setInputInfo({ ...inputInfo, enable_sso: v })}> - +

{t(`${prefixSettings}.sso.description`)}

} diff --git a/web/app/components/base/audio-btn/index.tsx b/web/app/components/base/audio-btn/index.tsx index 675f58b530..d57c79b571 100644 --- a/web/app/components/base/audio-btn/index.tsx +++ b/web/app/components/base/audio-btn/index.tsx @@ -83,25 +83,25 @@ const AudioBtn = ({ }[audioState] return ( -
+
diff --git a/web/app/components/base/chat/chat/answer/operation.tsx b/web/app/components/base/chat/chat/answer/operation.tsx index 8ec5c0f3b2..f54e736826 100644 --- a/web/app/components/base/chat/chat/answer/operation.tsx +++ b/web/app/components/base/chat/chat/answer/operation.tsx @@ -17,7 +17,7 @@ import { ThumbsDown, ThumbsUp, } from '@/app/components/base/icons/src/vender/line/alertsAndFeedback' -import TooltipPlus from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' import Log from '@/app/components/base/chat/chat/log' type OperationProps = { @@ -162,28 +162,34 @@ const Operation: FC = ({ { config?.supportFeedback && !localFeedback?.rating && onFeedback && !isOpeningStatement && (
- +
handleFeedback('like')} >
- - + +
handleFeedback('dislike')} >
- +
) } { config?.supportFeedback && localFeedback?.rating && onFeedback && !isOpeningStatement && ( - +
= ({ ) }
- + ) }
diff --git a/web/app/components/base/chat/chat/chat-input.tsx b/web/app/components/base/chat/chat/chat-input.tsx index 0c083157a1..c4578fab62 100644 --- a/web/app/components/base/chat/chat/chat-input.tsx +++ b/web/app/components/base/chat/chat/chat-input.tsx @@ -17,7 +17,7 @@ import { TransferMethod } from '../types' import { useChatWithHistoryContext } from '../chat-with-history/context' import type { Theme } from '../embedded-chatbot/theme/theme-context' import { CssTransform } from '../embedded-chatbot/theme/utils' -import TooltipPlus from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' import { ToastContext } from '@/app/components/base/toast' import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints' import VoiceInput from '@/app/components/base/voice-input' @@ -220,7 +220,7 @@ const ChatInput: FC = ({ {isMobile ? sendBtn : ( -
{t('common.operation.send')} Enter
@@ -229,7 +229,7 @@ const ChatInput: FC = ({ } > {sendBtn} - + )}
{ diff --git a/web/app/components/base/chat/embedded-chatbot/header.tsx b/web/app/components/base/chat/embedded-chatbot/header.tsx index c35f98e3f2..a5c74434c6 100644 --- a/web/app/components/base/chat/embedded-chatbot/header.tsx +++ b/web/app/components/base/chat/embedded-chatbot/header.tsx @@ -41,9 +41,7 @@ const Header: FC = ({
{ onCreateNewChat?.() diff --git a/web/app/components/base/chat/embedded-chatbot/index.tsx b/web/app/components/base/chat/embedded-chatbot/index.tsx index d34fe164d1..480adaae2d 100644 --- a/web/app/components/base/chat/embedded-chatbot/index.tsx +++ b/web/app/components/base/chat/embedded-chatbot/index.tsx @@ -88,9 +88,7 @@ const Chatbot = () => { {!isMobile && (
diff --git a/web/app/components/base/copy-btn/index.tsx b/web/app/components/base/copy-btn/index.tsx index a03b991057..2acb5d8e76 100644 --- a/web/app/components/base/copy-btn/index.tsx +++ b/web/app/components/base/copy-btn/index.tsx @@ -1,10 +1,9 @@ 'use client' -import { useRef, useState } from 'react' +import { useState } from 'react' import { t } from 'i18next' import copy from 'copy-to-clipboard' import s from './style.module.css' import Tooltip from '@/app/components/base/tooltip' -import { randomString } from '@/utils' type ICopyBtnProps = { value: string @@ -18,14 +17,11 @@ const CopyBtn = ({ isPlain, }: ICopyBtnProps) => { const [isCopied, setIsCopied] = useState(false) - const selector = useRef(`copy-tooltip-${randomString(4)}`) return (
{ +const CopyFeedback = ({ content, className }: Props) => { const { t } = useTranslation() const [isCopied, setIsCopied] = useState(false) @@ -30,8 +28,7 @@ const CopyFeedback = ({ content, selectorId, className }: Props) => { return ( { className={`w-8 h-8 cursor-pointer hover:bg-gray-100 rounded-lg ${ className ?? '' }`} - onMouseLeave={onMouseLeave} >
- + ) } diff --git a/web/app/components/base/copy-icon/index.tsx b/web/app/components/base/copy-icon/index.tsx index 0eb0356ffe..425a9ad293 100644 --- a/web/app/components/base/copy-icon/index.tsx +++ b/web/app/components/base/copy-icon/index.tsx @@ -3,7 +3,7 @@ import React, { useState } from 'react' import { useTranslation } from 'react-i18next' import { debounce } from 'lodash-es' import copy from 'copy-to-clipboard' -import TooltipPlus from '../tooltip-plus' +import Tooltip from '../tooltip' import { Clipboard, ClipboardCheck, @@ -29,7 +29,7 @@ export const CopyIcon = ({ content }: Props) => { }, 100) return ( - { ) }
- + ) } diff --git a/web/app/components/base/features/feature-panel/suggested-questions-after-answer/index.tsx b/web/app/components/base/features/feature-panel/suggested-questions-after-answer/index.tsx index e424c4ead5..e6d0b6e7e0 100644 --- a/web/app/components/base/features/feature-panel/suggested-questions-after-answer/index.tsx +++ b/web/app/components/base/features/feature-panel/suggested-questions-after-answer/index.tsx @@ -2,11 +2,8 @@ import type { FC } from 'react' import React from 'react' import { useTranslation } from 'react-i18next' -import { - RiQuestionLine, -} from '@remixicon/react' import { MessageSmileSquare } from '@/app/components/base/icons/src/vender/solid/communication' -import TooltipPlus from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' const SuggestedQuestionsAfterAnswer: FC = () => { const { t } = useTranslation() @@ -18,9 +15,7 @@ const SuggestedQuestionsAfterAnswer: FC = () => {
{t('appDebug.feature.suggestedQuestionsAfterAnswer.title')}
- - - +
{t('appDebug.feature.suggestedQuestionsAfterAnswer.resDes')}
diff --git a/web/app/components/base/features/feature-panel/text-to-speech/param-config-content.tsx b/web/app/components/base/features/feature-panel/text-to-speech/param-config-content.tsx index a5a2eb7bb7..e923d9a333 100644 --- a/web/app/components/base/features/feature-panel/text-to-speech/param-config-content.tsx +++ b/web/app/components/base/features/feature-panel/text-to-speech/param-config-content.tsx @@ -2,9 +2,6 @@ import useSWR from 'swr' import produce from 'immer' import React, { Fragment } from 'react' -import { - RiQuestionLine, -} from '@remixicon/react' import { usePathname } from 'next/navigation' import { useTranslation } from 'react-i18next' import { Listbox, Transition } from '@headlessui/react' @@ -74,13 +71,16 @@ const VoiceParamConfig = ({
{t('appDebug.voice.voiceSettings.language')}
- - {t('appDebug.voice.voiceSettings.resolutionTooltip').split('\n').map(item => ( -
{item}
- ))} -
} selector='config-resolution-tooltip'> - - + + {t('appDebug.voice.voiceSettings.resolutionTooltip').split('\n').map(item => ( +
{item} +
+ ))} +
+ } + />
= ({ )} {item.progress === -1 && ( - - + )}
)} diff --git a/web/app/components/base/param-item/index.tsx b/web/app/components/base/param-item/index.tsx index 20beb7a9a1..318b0fb0e3 100644 --- a/web/app/components/base/param-item/index.tsx +++ b/web/app/components/base/param-item/index.tsx @@ -1,10 +1,6 @@ 'use client' import type { FC } from 'react' -import { - RiQuestionLine, -} from '@remixicon/react' - -import Tooltip from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' import Slider from '@/app/components/base/slider' import Switch from '@/app/components/base/switch' @@ -40,9 +36,9 @@ const ParamItem: FC = ({ className, id, name, noTooltip, tip, step = 0.1, )} {name} {!noTooltip && ( - {tip}
}> - - + {tip}} + /> )} diff --git a/web/app/components/base/prompt-editor/plugins/workflow-variable-block/component.tsx b/web/app/components/base/prompt-editor/plugins/workflow-variable-block/component.tsx index 39193fc31d..65f3dad3a2 100644 --- a/web/app/components/base/prompt-editor/plugins/workflow-variable-block/component.tsx +++ b/web/app/components/base/prompt-editor/plugins/workflow-variable-block/component.tsx @@ -25,7 +25,7 @@ import { BubbleX, Env } from '@/app/components/base/icons/src/vender/line/others import { VarBlockIcon } from '@/app/components/workflow/block-icon' import { Line3 } from '@/app/components/base/icons/src/public/common' import { isConversationVar, isENV, isSystemVar } from '@/app/components/workflow/nodes/_base/components/variable/utils' -import TooltipPlus from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' type WorkflowVariableBlockComponentProps = { nodeKey: string @@ -113,9 +113,9 @@ const WorkflowVariableBlockComponent = ({ if (!node && !isEnv && !isChatVar) { return ( - + {Item} - + ) } diff --git a/web/app/components/base/qrcode/index.tsx b/web/app/components/base/qrcode/index.tsx index 721f8c9029..c9323992e9 100644 --- a/web/app/components/base/qrcode/index.tsx +++ b/web/app/components/base/qrcode/index.tsx @@ -2,8 +2,8 @@ import React, { useEffect, useRef, useState } from 'react' import { useTranslation } from 'react-i18next' import QRCode from 'qrcode.react' -import Tooltip from '../tooltip' import QrcodeStyle from './style.module.css' +import Tooltip from '@/app/components/base/tooltip' type Props = { content: string @@ -51,8 +51,7 @@ const ShareQRCode = ({ content, selectorId, className }: Props) => { return (
-) - -const Tooltip: FC = ({ - position = 'top', - triggerMethod = 'hover', - disabled = false, - popupContent, - children, - hideArrow, - popupClassName, - offset, - asChild, -}) => { - const [open, setOpen] = useState(false) - const [isHoverPopup, { - setTrue: setHoverPopup, - setFalse: setNotHoverPopup, - }] = useBoolean(false) - - const isHoverPopupRef = useRef(isHoverPopup) - useEffect(() => { - isHoverPopupRef.current = isHoverPopup - }, [isHoverPopup]) - - const [isHoverTrigger, { - setTrue: setHoverTrigger, - setFalse: setNotHoverTrigger, - }] = useBoolean(false) - - const isHoverTriggerRef = useRef(isHoverTrigger) - useEffect(() => { - isHoverTriggerRef.current = isHoverTrigger - }, [isHoverTrigger]) - - const handleLeave = (isTrigger: boolean) => { - if (isTrigger) - setNotHoverTrigger() - - else - setNotHoverPopup() - - // give time to move to the popup - setTimeout(() => { - if (!isHoverPopupRef.current && !isHoverTriggerRef.current) - setOpen(false) - }, 500) - } - - return ( - - triggerMethod === 'click' && setOpen(v => !v)} - onMouseEnter={() => { - if (triggerMethod === 'hover') { - setHoverTrigger() - setOpen(true) - } - }} - onMouseLeave={() => triggerMethod === 'hover' && handleLeave(true)} - asChild={asChild} - > - {children} - - -
triggerMethod === 'hover' && setHoverPopup()} - onMouseLeave={() => triggerMethod === 'hover' && handleLeave(false)} - > - {popupContent} - {!hideArrow && arrow} -
- - - ) -} - -export default React.memo(Tooltip) diff --git a/web/app/components/base/tooltip/index.tsx b/web/app/components/base/tooltip/index.tsx index e7795c6537..f3b4cff132 100644 --- a/web/app/components/base/tooltip/index.tsx +++ b/web/app/components/base/tooltip/index.tsx @@ -1,52 +1,112 @@ 'use client' import type { FC } from 'react' -import React from 'react' -import { Tooltip as ReactTooltip } from 'react-tooltip' // fixed version to 5.8.3 https://github.com/ReactTooltip/react-tooltip/issues/972 -import classNames from '@/utils/classnames' -import 'react-tooltip/dist/react-tooltip.css' - -type TooltipProps = { - selector: string - content?: string +import React, { useEffect, useRef, useState } from 'react' +import { useBoolean } from 'ahooks' +import type { OffsetOptions, Placement } from '@floating-ui/react' +import { RiQuestionLine } from '@remixicon/react' +import cn from '@/utils/classnames' +import { PortalToFollowElem, PortalToFollowElemContent, PortalToFollowElemTrigger } from '@/app/components/base/portal-to-follow-elem' +export type TooltipProps = { + position?: Placement + triggerMethod?: 'hover' | 'click' + triggerClassName?: string disabled?: boolean - htmlContent?: React.ReactNode - className?: string // This should use !impornant to override the default styles eg: '!bg-white' - position?: 'top' | 'right' | 'bottom' | 'left' - clickable?: boolean - children: React.ReactNode - noArrow?: boolean + popupContent?: React.ReactNode + children?: React.ReactNode + popupClassName?: string + offset?: OffsetOptions + needsDelay?: boolean + asChild?: boolean } const Tooltip: FC = ({ - selector, - content, - disabled, position = 'top', + triggerMethod = 'hover', + triggerClassName, + disabled = false, + popupContent, children, - htmlContent, - className, - clickable, - noArrow, + popupClassName, + offset, + asChild = true, + needsDelay = false, }) => { + const [open, setOpen] = useState(false) + const [isHoverPopup, { + setTrue: setHoverPopup, + setFalse: setNotHoverPopup, + }] = useBoolean(false) + + const isHoverPopupRef = useRef(isHoverPopup) + useEffect(() => { + isHoverPopupRef.current = isHoverPopup + }, [isHoverPopup]) + + const [isHoverTrigger, { + setTrue: setHoverTrigger, + setFalse: setNotHoverTrigger, + }] = useBoolean(false) + + const isHoverTriggerRef = useRef(isHoverTrigger) + useEffect(() => { + isHoverTriggerRef.current = isHoverTrigger + }, [isHoverTrigger]) + + const handleLeave = (isTrigger: boolean) => { + if (isTrigger) + setNotHoverTrigger() + + else + setNotHoverPopup() + + // give time to move to the popup + if (needsDelay) { + setTimeout(() => { + if (!isHoverPopupRef.current && !isHoverTriggerRef.current) + setOpen(false) + }, 500) + } + else { + setOpen(false) + } + } + return ( -
- {React.cloneElement(children as React.ReactElement, { - 'data-tooltip-id': selector, - }) - } - + triggerMethod === 'click' && setOpen(v => !v)} + onMouseEnter={() => { + if (triggerMethod === 'hover') { + setHoverTrigger() + setOpen(true) + } + }} + onMouseLeave={() => triggerMethod === 'hover' && handleLeave(true)} + asChild={asChild} > - {htmlContent && htmlContent} - -
+ {children ||
} + + + {popupContent && (
triggerMethod === 'hover' && setHoverPopup()} + onMouseLeave={() => triggerMethod === 'hover' && handleLeave(false)} + > + {popupContent} +
)} + + ) } -export default Tooltip +export default React.memo(Tooltip) diff --git a/web/app/components/billing/pricing/plan-item.tsx b/web/app/components/billing/pricing/plan-item.tsx index 87a20437c3..b6ac17472e 100644 --- a/web/app/components/billing/pricing/plan-item.tsx +++ b/web/app/components/billing/pricing/plan-item.tsx @@ -2,14 +2,11 @@ import type { FC } from 'react' import React from 'react' import { useTranslation } from 'react-i18next' -import { - RiQuestionLine, -} from '@remixicon/react' import { useContext } from 'use-context-selector' import { Plan } from '../type' import { ALL_PLANS, NUM_INFINITE, contactSalesUrl, contractSales, unAvailable } from '../config' import Toast from '../../base/toast' -import TooltipPlus from '../../base/tooltip-plus' +import Tooltip from '../../base/tooltip' import { PlanRange } from './select-plan-range' import cn from '@/utils/classnames' import { useAppContext } from '@/context/app-context' @@ -30,13 +27,11 @@ const KeyValue = ({ label, value, tooltip }: { label: string; value: string | nu
{label}
{tooltip && ( - {tooltip}
} - > - - + /> )}
{value}
@@ -136,25 +131,21 @@ const PlanItem: FC = ({
+
{t('billing.plansCommon.supportItems.llmLoadingBalancing')}
- {t('billing.plansCommon.supportItems.llmLoadingBalancingTooltip')}
} - > - - + />
+
 {t('billing.plansCommon.supportItems.ragAPIRequest')}
- {t('billing.plansCommon.ragAPIRequestTooltip')}
} - > - - + />
{comingSoon}
diff --git a/web/app/components/billing/priority-label/index.tsx b/web/app/components/billing/priority-label/index.tsx index d8ad27b6e0..36338cf4a8 100644 --- a/web/app/components/billing/priority-label/index.tsx +++ b/web/app/components/billing/priority-label/index.tsx @@ -9,7 +9,7 @@ import { ZapFast, ZapNarrow, } from '@/app/components/base/icons/src/vender/solid/general' -import TooltipPlus from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' const PriorityLabel = () => { const { t } = useTranslation() @@ -27,7 +27,7 @@ const PriorityLabel = () => { }, [plan]) return ( -
{`${t('billing.plansCommon.documentProcessingPriority')}: ${t(`billing.plansCommon.priority.${priority}`)}`}
{ @@ -53,7 +53,7 @@ const PriorityLabel = () => { } {t(`billing.plansCommon.priority.${priority}`)} - + ) } diff --git a/web/app/components/billing/usage-info/index.tsx b/web/app/components/billing/usage-info/index.tsx index e929249584..ee41508ea6 100644 --- a/web/app/components/billing/usage-info/index.tsx +++ b/web/app/components/billing/usage-info/index.tsx @@ -2,7 +2,6 @@ import type { FC } from 'react' import React from 'react' import { useTranslation } from 'react-i18next' -import { InfoCircle } from '../../base/icons/src/vender/line/general' import ProgressBar from '../progress-bar' import { NUM_INFINITE } from '../config' import Tooltip from '@/app/components/base/tooltip' @@ -48,11 +47,13 @@ const UsageInfo: FC = ({
{name}
{tooltip && ( - - {tooltip} - } selector='config-var-tooltip'> - - + + {tooltip} + + } + /> )}
diff --git a/web/app/components/datasets/common/retrieval-param-config/index.tsx b/web/app/components/datasets/common/retrieval-param-config/index.tsx index 98676f2e83..54a0963f59 100644 --- a/web/app/components/datasets/common/retrieval-param-config/index.tsx +++ b/web/app/components/datasets/common/retrieval-param-config/index.tsx @@ -2,15 +2,13 @@ import type { FC } from 'react' import React from 'react' import { useTranslation } from 'react-i18next' -import { - RiQuestionLine, -} from '@remixicon/react' + import cn from '@/utils/classnames' import TopKItem from '@/app/components/base/param-item/top-k-item' import ScoreThresholdItem from '@/app/components/base/param-item/score-threshold-item' import { RETRIEVE_METHOD } from '@/types/app' import Switch from '@/app/components/base/switch' -import Tooltip from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' import type { RetrievalConfig } from '@/types/app' import ModelSelector from '@/app/components/header/account-setting/model-provider-page/model-selector' import { useModelListAndDefaultModel } from '@/app/components/header/account-setting/model-provider-page/hooks' @@ -114,9 +112,11 @@ const RetrievalParamConfig: FC = ({ )}
{t('common.modelProvider.rerankModel.key')} - {t('common.modelProvider.rerankModel.tip')}
}> - - + {t('common.modelProvider.rerankModel.tip')}
+ } + /> = ({
{option.label}
{option.tips}} - hideArrow - > - - + triggerClassName='ml-0.5 w-3.5 h-4.5' + /> )) } diff --git a/web/app/components/datasets/create/embedding-process/index.tsx b/web/app/components/datasets/create/embedding-process/index.tsx index 1e340d692f..574dd083c7 100644 --- a/web/app/components/datasets/create/embedding-process/index.tsx +++ b/web/app/components/datasets/create/embedding-process/index.tsx @@ -22,7 +22,7 @@ import { Plan } from '@/app/components/billing/type' import { ZapFast } from '@/app/components/base/icons/src/vender/solid/general' import UpgradeBtn from '@/app/components/billing/upgrade-btn' import { useProviderContext } from '@/context/provider-context' -import TooltipPlus from '@/app/components/base/tooltip-plus' +import Tooltip from '@/app/components/base/tooltip' import { sleep } from '@/utils' type Props = { @@ -259,16 +259,18 @@ const EmbeddingProcess: FC = ({ datasetId, batchId, documents = [], index
{`${getSourcePercent(indexingStatusDetail)}%`}
)} {indexingStatusDetail.indexing_status === 'error' && indexingStatusDetail.error && ( - - {indexingStatusDetail.error} - - )}> + + {indexingStatusDetail.error} + + )} + >
Error
- + )} {indexingStatusDetail.indexing_status === 'error' && !indexingStatusDetail.error && (
diff --git a/web/app/components/datasets/create/step-two/index.tsx b/web/app/components/datasets/create/step-two/index.tsx index 3849f817d6..1b56241191 100644 --- a/web/app/components/datasets/create/step-two/index.tsx +++ b/web/app/components/datasets/create/step-two/index.tsx @@ -7,7 +7,6 @@ import { XMarkIcon } from '@heroicons/react/20/solid' import { RocketLaunchIcon } from '@heroicons/react/24/outline' import { RiCloseLine, - RiQuestionLine, } from '@remixicon/react' import Link from 'next/link' import { groupBy } from 'lodash-es' @@ -43,7 +42,6 @@ import { IS_CE_EDITION } from '@/config' import { RETRIEVE_METHOD } from '@/types/app' import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints' import Tooltip from '@/app/components/base/tooltip' -import TooltipPlus from '@/app/components/base/tooltip-plus' import { useModelListAndDefaultModelAndCurrentProviderAndModel } from '@/app/components/header/account-setting/model-provider-page/hooks' import { LanguagesSupported } from '@/i18n/language' import { ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' @@ -556,7 +554,7 @@ const StepTwo = ({ className='border-[0.5px] !h-8 hover:outline hover:outline-[0.5px] hover:outline-gray-300 text-gray-700 font-medium bg-white shadow-[0px_1px_2px_0px_rgba(16,24,40,0.05)]' onClick={setShowPreview} > - +
{t('datasetCreation.stepTwo.previewTitleButton')} @@ -628,13 +626,13 @@ const StepTwo = ({
{t('datasetCreation.stepTwo.overlap')} - - {t('datasetCreation.stepTwo.overlapTip')} -
- }> - - + + {t('datasetCreation.stepTwo.overlapTip')} +
+ } + />
= ({
{label}
{isRequired && *} {tooltip && ( - {tooltip}
- }> - - + {tooltip} + } + popupClassName='relative top-[3px] w-3 h-3 ml-1' + /> )} + -
- - -
{t('custom.app.changeLogoTip')}
- - ) -} - -export default CustomAppHeaderBrand diff --git a/web/app/components/custom/custom-app-header-brand/style.module.css b/web/app/components/custom/custom-app-header-brand/style.module.css deleted file mode 100644 index 492733ff9f..0000000000 --- a/web/app/components/custom/custom-app-header-brand/style.module.css +++ /dev/null @@ -1,3 +0,0 @@ -.mask { - background: linear-gradient(95deg, rgba(255, 255, 255, 0.00) 43.9%, rgba(255, 255, 255, 0.80) 95.76%); ; -} \ No newline at end of file diff --git a/web/app/components/custom/custom-page/index.tsx b/web/app/components/custom/custom-page/index.tsx index c3b1e93da3..75d592389d 100644 --- a/web/app/components/custom/custom-page/index.tsx +++ b/web/app/components/custom/custom-page/index.tsx @@ -1,6 +1,5 @@ import { useTranslation } from 'react-i18next' import CustomWebAppBrand from '../custom-web-app-brand' -import CustomAppHeaderBrand from '../custom-app-header-brand' import s from '../style.module.css' import GridMask from '@/app/components/base/grid-mask' import UpgradeBtn from '@/app/components/billing/upgrade-btn' @@ -13,7 +12,6 @@ const CustomPage = () => { const { plan, enableBilling } = useProviderContext() const showBillingTip = enableBilling && plan.type === Plan.sandbox - const showCustomAppHeaderBrand = enableBilling && plan.type === Plan.sandbox const showContact = enableBilling && (plan.type === Plan.professional || plan.type === Plan.team) return ( @@ -32,14 +30,6 @@ const CustomPage = () => { ) } - { - showCustomAppHeaderBrand && ( - <> -
- - - ) - } { showContact && (
From da326baa5ec04c2c261bac11ba0b80853f3534b4 Mon Sep 17 00:00:00 2001 From: crazywoola <100913391+crazywoola@users.noreply.github.com> Date: Tue, 27 Aug 2024 16:56:06 +0800 Subject: [PATCH 094/164] fix: tongyi Error: 'NoneType' object is not subscriptable (#7705) --- .../tongyi/text_embedding/text_embedding.py | 16 +++++++++++++--- 1 file changed, 13 insertions(+), 3 deletions(-) diff --git a/api/core/model_runtime/model_providers/tongyi/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/tongyi/text_embedding/text_embedding.py index e7e1b5c764..97dcb72f7c 100644 --- a/api/core/model_runtime/model_providers/tongyi/text_embedding/text_embedding.py +++ b/api/core/model_runtime/model_providers/tongyi/text_embedding/text_embedding.py @@ -137,9 +137,19 @@ class TongyiTextEmbeddingModel(_CommonTongyi, TextEmbeddingModel): input=text, text_type="document", ) - data = response.output["embeddings"][0] - embeddings.append(data["embedding"]) - embedding_used_tokens += response.usage["total_tokens"] + if response.output and "embeddings" in response.output and response.output["embeddings"]: + data = response.output["embeddings"][0] + if "embedding" in data: + embeddings.append(data["embedding"]) + else: + raise ValueError("Embedding data is missing in the response.") + else: + raise ValueError("Response output is missing or does not contain embeddings.") + + if response.usage and "total_tokens" in response.usage: + embedding_used_tokens += response.usage["total_tokens"] + else: + raise ValueError("Response usage is missing or does not contain total tokens.") return [list(map(float, e)) for e in embeddings], embedding_used_tokens From 205d33a813bca1a859da43dccdb1b7510c513b7a Mon Sep 17 00:00:00 2001 From: Bryan Date: Tue, 27 Aug 2024 19:23:56 +0800 Subject: [PATCH 095/164] Fix: read properties of undefined issue (#7708) Co-authored-by: libing --- web/app/components/datasets/documents/list.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/web/app/components/datasets/documents/list.tsx b/web/app/components/datasets/documents/list.tsx index ab602955d7..540474e7a5 100644 --- a/web/app/components/datasets/documents/list.tsx +++ b/web/app/components/datasets/documents/list.tsx @@ -405,7 +405,7 @@ const DocumentList: FC = ({ embeddingAvailable, documents = {localDocs.map((doc) => { const isFile = doc.data_source_type === DataSourceType.FILE - const fileType = isFile ? doc.data_source_detail_dict?.upload_file.extension : '' + const fileType = isFile ? doc.data_source_detail_dict?.upload_file?.extension : '' return Date: Tue, 27 Aug 2024 19:38:33 +0800 Subject: [PATCH 096/164] feat: support configs for code execution request (#7704) --- api/configs/feature/__init__.py | 19 ++++++++++++-- .../helper/code_executor/code_executor.py | 26 +++++++++---------- api/poetry.lock | 12 ++++----- api/pyproject.toml | 2 +- .../unit_tests/configs/test_dify_config.py | 4 +++ 5 files changed, 40 insertions(+), 23 deletions(-) diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py index 46ae7a0bc8..f2efa52de3 100644 --- a/api/configs/feature/__init__.py +++ b/api/configs/feature/__init__.py @@ -1,6 +1,6 @@ from typing import Optional -from pydantic import AliasChoices, Field, NegativeInt, NonNegativeInt, PositiveInt, computed_field +from pydantic import AliasChoices, Field, HttpUrl, NegativeInt, NonNegativeInt, PositiveInt, computed_field from pydantic_settings import BaseSettings from configs.feature.hosted_service import HostedServiceConfig @@ -45,7 +45,7 @@ class CodeExecutionSandboxConfig(BaseSettings): Code Execution Sandbox configs """ - CODE_EXECUTION_ENDPOINT: str = Field( + CODE_EXECUTION_ENDPOINT: HttpUrl = Field( description="endpoint URL of code execution servcie", default="http://sandbox:8194", ) @@ -55,6 +55,21 @@ class CodeExecutionSandboxConfig(BaseSettings): default="dify-sandbox", ) + CODE_EXECUTION_CONNECT_TIMEOUT: Optional[float] = Field( + description="connect timeout in seconds for code execution request", + default=10.0, + ) + + CODE_EXECUTION_READ_TIMEOUT: Optional[float] = Field( + description="read timeout in seconds for code execution request", + default=60.0, + ) + + CODE_EXECUTION_WRITE_TIMEOUT: Optional[float] = Field( + description="write timeout in seconds for code execution request", + default=10.0, + ) + CODE_MAX_NUMBER: PositiveInt = Field( description="max depth for code execution", default=9223372036854775807, diff --git a/api/core/helper/code_executor/code_executor.py b/api/core/helper/code_executor/code_executor.py index a829748b48..4662ebb47a 100644 --- a/api/core/helper/code_executor/code_executor.py +++ b/api/core/helper/code_executor/code_executor.py @@ -15,12 +15,6 @@ from core.helper.code_executor.template_transformer import TemplateTransformer logger = logging.getLogger(__name__) -# Code Executor -CODE_EXECUTION_ENDPOINT = dify_config.CODE_EXECUTION_ENDPOINT -CODE_EXECUTION_API_KEY = dify_config.CODE_EXECUTION_API_KEY - -CODE_EXECUTION_TIMEOUT = Timeout(connect=10, write=10, read=60, pool=None) - class CodeExecutionException(Exception): pass @@ -71,10 +65,10 @@ class CodeExecutor: :param code: code :return: """ - url = URL(CODE_EXECUTION_ENDPOINT) / 'v1' / 'sandbox' / 'run' + url = URL(str(dify_config.CODE_EXECUTION_ENDPOINT)) / 'v1' / 'sandbox' / 'run' headers = { - 'X-Api-Key': CODE_EXECUTION_API_KEY + 'X-Api-Key': dify_config.CODE_EXECUTION_API_KEY } data = { @@ -85,7 +79,12 @@ class CodeExecutor: } try: - response = post(str(url), json=data, headers=headers, timeout=CODE_EXECUTION_TIMEOUT) + response = post(str(url), json=data, headers=headers, + timeout=Timeout( + connect=dify_config.CODE_EXECUTION_CONNECT_TIMEOUT, + read=dify_config.CODE_EXECUTION_READ_TIMEOUT, + write=dify_config.CODE_EXECUTION_WRITE_TIMEOUT, + pool=None)) if response.status_code == 503: raise CodeExecutionException('Code execution service is unavailable') elif response.status_code != 200: @@ -96,7 +95,7 @@ class CodeExecutor: raise CodeExecutionException('Failed to execute code, which is likely a network issue,' ' please check if the sandbox service is running.' f' ( Error: {str(e)} )') - + try: response = response.json() except: @@ -104,12 +103,12 @@ class CodeExecutor: if (code := response.get('code')) != 0: raise CodeExecutionException(f"Got error code: {code}. Got error msg: {response.get('message')}") - + response = CodeExecutionResponse(**response) - + if response.data.error: raise CodeExecutionException(response.data.error) - + return response.data.stdout or '' @classmethod @@ -133,4 +132,3 @@ class CodeExecutor: raise e return template_transformer.transform_response(response) - \ No newline at end of file diff --git a/api/poetry.lock b/api/poetry.lock index 224c0bfb8c..7d26dbdc57 100644 --- a/api/poetry.lock +++ b/api/poetry.lock @@ -6821,13 +6821,13 @@ files = [ [[package]] name = "pytest" -version = "8.1.2" +version = "8.3.2" description = "pytest: simple powerful testing with Python" optional = false python-versions = ">=3.8" files = [ - {file = "pytest-8.1.2-py3-none-any.whl", hash = "sha256:6c06dc309ff46a05721e6fd48e492a775ed8165d2ecdf57f156a80c7e95bb142"}, - {file = "pytest-8.1.2.tar.gz", hash = "sha256:f3c45d1d5eed96b01a2aea70dee6a4a366d51d38f9957768083e4fecfc77f3ef"}, + {file = "pytest-8.3.2-py3-none-any.whl", hash = "sha256:4ba08f9ae7dcf84ded419494d229b48d0903ea6407b030eaec46df5e6a73bba5"}, + {file = "pytest-8.3.2.tar.gz", hash = "sha256:c132345d12ce551242c87269de812483f5bcc87cdbb4722e48487ba194f9fdce"}, ] [package.dependencies] @@ -6835,11 +6835,11 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""} exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""} iniconfig = "*" packaging = "*" -pluggy = ">=1.4,<2.0" +pluggy = ">=1.5,<2" tomli = {version = ">=1", markers = "python_version < \"3.11\""} [package.extras] -testing = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] +dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] [[package]] name = "pytest-benchmark" @@ -10063,4 +10063,4 @@ cffi = ["cffi (>=1.11)"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.13" -content-hash = "0b912a7d500c4ff3c7f0c51877e55de70cec5317a990f9e882600e32a30a610e" +content-hash = "e4c00268514d26bd07c6b72925e0e3b4558ec972895d252e60e9571e3ac38895" diff --git a/api/pyproject.toml b/api/pyproject.toml index 1f5bafe591..f1d5e213ae 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -243,7 +243,7 @@ optional = true [tool.poetry.group.dev.dependencies] coverage = "~7.2.4" -pytest = "~8.1.1" +pytest = "~8.3.2" pytest-benchmark = "~4.0.0" pytest-env = "~1.1.3" pytest-mock = "~3.14.0" diff --git a/api/tests/unit_tests/configs/test_dify_config.py b/api/tests/unit_tests/configs/test_dify_config.py index 39f313b513..fb415483dd 100644 --- a/api/tests/unit_tests/configs/test_dify_config.py +++ b/api/tests/unit_tests/configs/test_dify_config.py @@ -3,6 +3,7 @@ from textwrap import dedent import pytest from flask import Flask +from yarl import URL from configs.app_config import DifyConfig @@ -84,3 +85,6 @@ def test_flask_configs(example_env_file): assert config["CONSOLE_WEB_URL"] == "https://example.com" assert config["CONSOLE_CORS_ALLOW_ORIGINS"] == ["https://example.com"] assert config["WEB_API_CORS_ALLOW_ORIGINS"] == ["*"] + + assert str(config["CODE_EXECUTION_ENDPOINT"]) == "http://sandbox:8194/" + assert str(URL(str(config["CODE_EXECUTION_ENDPOINT"])) / "v1") == "http://sandbox:8194/v1" From 92cab33b73d42f20d04541fb383dc783ee336de1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E8=B5=B0=E5=9C=A8=E4=BF=AE=E8=A1=8C=E7=9A=84=E5=A4=A7?= =?UTF-8?q?=E8=A1=97=E4=B8=8A?= Date: Tue, 27 Aug 2024 20:21:42 +0800 Subject: [PATCH 097/164] feat(Tools): add feishu document and message plugins (#6435) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: 黎斌 --- api/core/tools/provider/_position.yaml | 2 + .../builtin/feishu_document/_assets/icon.svg | 9 ++ .../feishu_document/feishu_document.py | 15 ++ .../feishu_document/feishu_document.yaml | 34 +++++ .../feishu_document/tools/create_document.py | 19 +++ .../tools/create_document.yaml | 47 ++++++ .../tools/get_document_raw_content.py | 17 +++ .../tools/get_document_raw_content.yaml | 23 +++ .../tools/list_document_block.py | 19 +++ .../tools/list_document_block.yaml | 48 ++++++ .../feishu_document/tools/write_document.py | 19 +++ .../feishu_document/tools/write_document.yaml | 56 +++++++ .../builtin/feishu_message/_assets/icon.svg | 19 +++ .../builtin/feishu_message/feishu_message.py | 15 ++ .../feishu_message/feishu_message.yaml | 34 +++++ .../feishu_message/tools/send_bot_message.py | 20 +++ .../tools/send_bot_message.yaml | 91 +++++++++++ .../tools/send_webhook_message.py | 19 +++ .../tools/send_webhook_message.yaml | 58 +++++++ api/core/tools/utils/feishu_api_utils.py | 143 ++++++++++++++++++ 20 files changed, 707 insertions(+) create mode 100644 api/core/tools/provider/builtin/feishu_document/_assets/icon.svg create mode 100644 api/core/tools/provider/builtin/feishu_document/feishu_document.py create mode 100644 api/core/tools/provider/builtin/feishu_document/feishu_document.yaml create mode 100644 api/core/tools/provider/builtin/feishu_document/tools/create_document.py create mode 100644 api/core/tools/provider/builtin/feishu_document/tools/create_document.yaml create mode 100644 api/core/tools/provider/builtin/feishu_document/tools/get_document_raw_content.py create mode 100644 api/core/tools/provider/builtin/feishu_document/tools/get_document_raw_content.yaml create mode 100644 api/core/tools/provider/builtin/feishu_document/tools/list_document_block.py create mode 100644 api/core/tools/provider/builtin/feishu_document/tools/list_document_block.yaml create mode 100644 api/core/tools/provider/builtin/feishu_document/tools/write_document.py create mode 100644 api/core/tools/provider/builtin/feishu_document/tools/write_document.yaml create mode 100644 api/core/tools/provider/builtin/feishu_message/_assets/icon.svg create mode 100644 api/core/tools/provider/builtin/feishu_message/feishu_message.py create mode 100644 api/core/tools/provider/builtin/feishu_message/feishu_message.yaml create mode 100644 api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.py create mode 100644 api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.yaml create mode 100644 api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.py create mode 100644 api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.yaml create mode 100644 api/core/tools/utils/feishu_api_utils.py diff --git a/api/core/tools/provider/_position.yaml b/api/core/tools/provider/_position.yaml index 25d9f403a0..b804089570 100644 --- a/api/core/tools/provider/_position.yaml +++ b/api/core/tools/provider/_position.yaml @@ -30,5 +30,7 @@ - dingtalk - feishu - feishu_base +- feishu_document +- feishu_message - slack - tianditu diff --git a/api/core/tools/provider/builtin/feishu_document/_assets/icon.svg b/api/core/tools/provider/builtin/feishu_document/_assets/icon.svg new file mode 100644 index 0000000000..5a0a6416b3 --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_document/_assets/icon.svg @@ -0,0 +1,9 @@ + + + + + + + + + diff --git a/api/core/tools/provider/builtin/feishu_document/feishu_document.py b/api/core/tools/provider/builtin/feishu_document/feishu_document.py new file mode 100644 index 0000000000..c4f8f26e2c --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_document/feishu_document.py @@ -0,0 +1,15 @@ +from core.tools.errors import ToolProviderCredentialValidationError +from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController +from core.tools.utils.feishu_api_utils import FeishuRequest + + +class FeishuDocumentProvider(BuiltinToolProviderController): + def _validate_credentials(self, credentials: dict) -> None: + app_id = credentials.get('app_id') + app_secret = credentials.get('app_secret') + if not app_id or not app_secret: + raise ToolProviderCredentialValidationError("app_id and app_secret is required") + try: + assert FeishuRequest(app_id, app_secret).tenant_access_token is not None + except Exception as e: + raise ToolProviderCredentialValidationError(str(e)) \ No newline at end of file diff --git a/api/core/tools/provider/builtin/feishu_document/feishu_document.yaml b/api/core/tools/provider/builtin/feishu_document/feishu_document.yaml new file mode 100644 index 0000000000..8eaa6b2704 --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_document/feishu_document.yaml @@ -0,0 +1,34 @@ +identity: + author: Doug Lea + name: feishu_document + label: + en_US: Lark Cloud Document + zh_Hans: 飞书云文档 + description: + en_US: Lark Cloud Document + zh_Hans: 飞书云文档 + icon: icon.svg + tags: + - social + - productivity +credentials_for_provider: + app_id: + type: text-input + required: true + label: + en_US: APP ID + placeholder: + en_US: Please input your feishu app id + zh_Hans: 请输入你的飞书 app id + help: + en_US: Get your app_id and app_secret from Feishu + zh_Hans: 从飞书获取您的 app_id 和 app_secret + url: https://open.feishu.cn + app_secret: + type: secret-input + required: true + label: + en_US: APP Secret + placeholder: + en_US: Please input your app secret + zh_Hans: 请输入你的飞书 app secret diff --git a/api/core/tools/provider/builtin/feishu_document/tools/create_document.py b/api/core/tools/provider/builtin/feishu_document/tools/create_document.py new file mode 100644 index 0000000000..0ff82e621b --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_document/tools/create_document.py @@ -0,0 +1,19 @@ +from typing import Any + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.tool.builtin_tool import BuiltinTool +from core.tools.utils.feishu_api_utils import FeishuRequest + + +class CreateDocumentTool(BuiltinTool): + def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: + app_id = self.runtime.credentials.get('app_id') + app_secret = self.runtime.credentials.get('app_secret') + client = FeishuRequest(app_id, app_secret) + + title = tool_parameters.get('title') + content = tool_parameters.get('content') + folder_token = tool_parameters.get('folder_token') + + res = client.create_document(title, content, folder_token) + return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_document/tools/create_document.yaml b/api/core/tools/provider/builtin/feishu_document/tools/create_document.yaml new file mode 100644 index 0000000000..ddf2729f0e --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_document/tools/create_document.yaml @@ -0,0 +1,47 @@ +identity: + name: create_document + author: Doug Lea + label: + en_US: Create Lark document + zh_Hans: 创建飞书文档 +description: + human: + en_US: Create Lark document + zh_Hans: 创建飞书文档，支持创建空文档和带内容的文档，支持 markdown 语法创建。 + llm: A tool for creating Feishu documents. +parameters: + - name: title + type: string + required: false + label: + en_US: Document title + zh_Hans: 文档标题 + human_description: + en_US: Document title, only supports plain text content. + zh_Hans: 文档标题，只支持纯文本内容。 + llm_description: 文档标题，只支持纯文本内容，可以为空。 + form: llm + + - name: content + type: string + required: false + label: + en_US: Document content + zh_Hans: 文档内容 + human_description: + en_US: Document content, supports markdown syntax, can be empty. + zh_Hans: 文档内容，支持 markdown 语法，可以为空。 + llm_description: 文档内容，支持 markdown 语法，可以为空。 + form: llm + + - name: folder_token + type: string + required: false + label: + en_US: folder_token + zh_Hans: 文档所在文件夹的 Token + human_description: + en_US: The token of the folder where the document is located. If it is not passed or is empty, it means the root directory. + zh_Hans: 文档所在文件夹的 Token，不传或传空表示根目录。 + llm_description: 文档所在文件夹的 Token，不传或传空表示根目录。 + form: llm diff --git a/api/core/tools/provider/builtin/feishu_document/tools/get_document_raw_content.py b/api/core/tools/provider/builtin/feishu_document/tools/get_document_raw_content.py new file mode 100644 index 0000000000..16ef90908b --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_document/tools/get_document_raw_content.py @@ -0,0 +1,17 @@ +from typing import Any + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.tool.builtin_tool import BuiltinTool +from core.tools.utils.feishu_api_utils import FeishuRequest + + +class GetDocumentRawContentTool(BuiltinTool): + def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: + app_id = self.runtime.credentials.get('app_id') + app_secret = self.runtime.credentials.get('app_secret') + client = FeishuRequest(app_id, app_secret) + + document_id = tool_parameters.get('document_id') + + res = client.get_document_raw_content(document_id) + return self.create_json_message(res) \ No newline at end of file diff --git a/api/core/tools/provider/builtin/feishu_document/tools/get_document_raw_content.yaml b/api/core/tools/provider/builtin/feishu_document/tools/get_document_raw_content.yaml new file mode 100644 index 0000000000..e5b0937e03 --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_document/tools/get_document_raw_content.yaml @@ -0,0 +1,23 @@ +identity: + name: get_document_raw_content + author: Doug Lea + label: + en_US: Get Document Raw Content + zh_Hans: 获取文档纯文本内容 +description: + human: + en_US: Get document raw content + zh_Hans: 获取文档纯文本内容 + llm: A tool for getting the plain text content of Feishu documents +parameters: + - name: document_id + type: string + required: true + label: + en_US: document_id + zh_Hans: 飞书文档的唯一标识 + human_description: + en_US: Unique ID of Feishu document document_id + zh_Hans: 飞书文档的唯一标识 document_id + llm_description: 飞书文档的唯一标识 document_id + form: llm diff --git a/api/core/tools/provider/builtin/feishu_document/tools/list_document_block.py b/api/core/tools/provider/builtin/feishu_document/tools/list_document_block.py new file mode 100644 index 0000000000..97d17bdb04 --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_document/tools/list_document_block.py @@ -0,0 +1,19 @@ +from typing import Any + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.tool.builtin_tool import BuiltinTool +from core.tools.utils.feishu_api_utils import FeishuRequest + + +class ListDocumentBlockTool(BuiltinTool): + def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: + app_id = self.runtime.credentials.get('app_id') + app_secret = self.runtime.credentials.get('app_secret') + client = FeishuRequest(app_id, app_secret) + + document_id = tool_parameters.get('document_id') + page_size = tool_parameters.get('page_size', 500) + page_token = tool_parameters.get('page_token', '') + + res = client.list_document_block(document_id, page_token, page_size) + return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_document/tools/list_document_block.yaml b/api/core/tools/provider/builtin/feishu_document/tools/list_document_block.yaml new file mode 100644 index 0000000000..d51e5a837c --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_document/tools/list_document_block.yaml @@ -0,0 +1,48 @@ +identity: + name: list_document_block + author: Doug Lea + label: + en_US: List Document Block + zh_Hans: 获取飞书文档所有块 +description: + human: + en_US: List document block + zh_Hans: 获取飞书文档所有块的富文本内容并分页返回。 + llm: A tool to get all blocks of Feishu documents +parameters: + - name: document_id + type: string + required: true + label: + en_US: document_id + zh_Hans: 飞书文档的唯一标识 + human_description: + en_US: Unique ID of Feishu document document_id + zh_Hans: 飞书文档的唯一标识 document_id + llm_description: 飞书文档的唯一标识 document_id + form: llm + + - name: page_size + type: number + required: false + default: 500 + label: + en_US: page_size + zh_Hans: 分页大小 + human_description: + en_US: Paging size, the default and maximum value is 500. + zh_Hans: 分页大小, 默认值和最大值为 500。 + llm_description: 分页大小, 表示一次请求最多返回多少条数据，默认值和最大值为 500。 + form: llm + + - name: page_token + type: string + required: false + label: + en_US: page_token + zh_Hans: 分页标记 + human_description: + en_US: Pagination tag, used to paginate query results so that more items can be obtained in the next traversal. + zh_Hans: 分页标记，用于分页查询结果，以便下次遍历时获取更多项。 + llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 + form: llm diff --git a/api/core/tools/provider/builtin/feishu_document/tools/write_document.py b/api/core/tools/provider/builtin/feishu_document/tools/write_document.py new file mode 100644 index 0000000000..914a44dce6 --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_document/tools/write_document.py @@ -0,0 +1,19 @@ +from typing import Any + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.tool.builtin_tool import BuiltinTool +from core.tools.utils.feishu_api_utils import FeishuRequest + + +class CreateDocumentTool(BuiltinTool): + def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: + app_id = self.runtime.credentials.get('app_id') + app_secret = self.runtime.credentials.get('app_secret') + client = FeishuRequest(app_id, app_secret) + + document_id = tool_parameters.get('document_id') + content = tool_parameters.get('content') + position = tool_parameters.get('position') + + res = client.write_document(document_id, content, position) + return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_document/tools/write_document.yaml b/api/core/tools/provider/builtin/feishu_document/tools/write_document.yaml new file mode 100644 index 0000000000..8ee219d4a7 --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_document/tools/write_document.yaml @@ -0,0 +1,56 @@ +identity: + name: write_document + author: Doug Lea + label: + en_US: Write Document + zh_Hans: 在飞书文档中新增内容 +description: + human: + en_US: Adding new content to Lark documents + zh_Hans: 在飞书文档中新增内容 + llm: A tool for adding new content to Lark documents. +parameters: + - name: document_id + type: string + required: true + label: + en_US: document_id + zh_Hans: 飞书文档的唯一标识 + human_description: + en_US: Unique ID of Feishu document document_id + zh_Hans: 飞书文档的唯一标识 document_id + llm_description: 飞书文档的唯一标识 document_id + form: llm + + - name: content + type: string + required: true + label: + en_US: document content + zh_Hans: 文档内容 + human_description: + en_US: Document content, supports markdown syntax, can be empty. + zh_Hans: 文档内容，支持 markdown 语法，可以为空。 + llm_description: + form: llm + + - name: position + type: select + required: true + default: start + label: + en_US: Choose where to add content + zh_Hans: 选择添加内容的位置 + human_description: + en_US: Please fill in start or end to add content at the beginning or end of the document respectively. + zh_Hans: 请填入 start 或 end, 分别表示在文档开头(start)或结尾(end)添加内容。 + form: llm + options: + - value: start + label: + en_US: start + zh_Hans: 在文档开头添加内容 + - value: end + label: + en_US: end + zh_Hans: 在文档结尾添加内容 diff --git a/api/core/tools/provider/builtin/feishu_message/_assets/icon.svg b/api/core/tools/provider/builtin/feishu_message/_assets/icon.svg new file mode 100644 index 0000000000..222a1571f9 --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_message/_assets/icon.svg @@ -0,0 +1,19 @@ + + + + diff --git a/api/core/tools/provider/builtin/feishu_message/feishu_message.py b/api/core/tools/provider/builtin/feishu_message/feishu_message.py new file mode 100644 index 0000000000..6d7fed330c --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_message/feishu_message.py @@ -0,0 +1,15 @@ +from core.tools.errors import ToolProviderCredentialValidationError +from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController +from core.tools.utils.feishu_api_utils import FeishuRequest + + +class FeishuMessageProvider(BuiltinToolProviderController): + def _validate_credentials(self, credentials: dict) -> None: + app_id = credentials.get('app_id') + app_secret = credentials.get('app_secret') + if not app_id or not app_secret: + raise ToolProviderCredentialValidationError("app_id and app_secret is required") + try: + assert FeishuRequest(app_id, app_secret).tenant_access_token is not None + except Exception as e: + raise ToolProviderCredentialValidationError(str(e)) \ No newline at end of file diff --git a/api/core/tools/provider/builtin/feishu_message/feishu_message.yaml b/api/core/tools/provider/builtin/feishu_message/feishu_message.yaml new file mode 100644 index 0000000000..1bd8953ddd --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_message/feishu_message.yaml @@ -0,0 +1,34 @@ +identity: + author: Doug Lea + name: feishu_message + label: + en_US: Lark Message + zh_Hans: 飞书消息 + description: + en_US: Lark Message + zh_Hans: 飞书消息 + icon: icon.svg + tags: + - social + - productivity +credentials_for_provider: + app_id: + type: text-input + required: true + label: + en_US: APP ID + placeholder: + en_US: Please input your feishu app id + zh_Hans: 请输入你的飞书 app id + help: + en_US: Get your app_id and app_secret from Feishu + zh_Hans: 从飞书获取您的 app_id 和 app_secret + url: https://open.feishu.cn + app_secret: + type: secret-input + required: true + label: + en_US: APP Secret + placeholder: + en_US: Please input your app secret + zh_Hans: 请输入你的飞书 app secret diff --git a/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.py b/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.py new file mode 100644 index 0000000000..74f6866ba3 --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.py @@ -0,0 +1,20 @@ +from typing import Any + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.tool.builtin_tool import BuiltinTool +from core.tools.utils.feishu_api_utils import FeishuRequest + + +class SendBotMessageTool(BuiltinTool): + def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: + app_id = self.runtime.credentials.get('app_id') + app_secret = self.runtime.credentials.get('app_secret') + client = FeishuRequest(app_id, app_secret) + + receive_id_type = tool_parameters.get('receive_id_type') + receive_id = tool_parameters.get('receive_id') + msg_type = tool_parameters.get('msg_type') + content = tool_parameters.get('content') + + res = client.send_bot_message(receive_id_type, receive_id, msg_type, content) + return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.yaml b/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.yaml new file mode 100644 index 0000000000..6e398b18ab --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.yaml @@ -0,0 +1,91 @@ +identity: + name: send_bot_message + author: Doug Lea + label: + en_US: Send Bot Message + zh_Hans: 发送飞书应用消息 +description: + human: + en_US: Send bot message + zh_Hans: 发送飞书应用消息 + llm: A tool for sending Feishu application messages. +parameters: + - name: receive_id_type + type: select + required: true + options: + - value: open_id + label: + en_US: open id + zh_Hans: open id + - value: union_id + label: + en_US: union id + zh_Hans: union id + - value: user_id + label: + en_US: user id + zh_Hans: user id + - value: email + label: + en_US: email + zh_Hans: email + - value: chat_id + label: + en_US: chat id + zh_Hans: chat id + label: + en_US: User ID Type + zh_Hans: 用户 ID 类型 + human_description: + en_US: User ID Type + zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id、email、chat_id。 + llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id、email、chat_id。 + form: llm + + - name: receive_id + type: string + required: true + label: + en_US: Receive Id + zh_Hans: 消息接收者的 ID + human_description: + en_US: The ID of the message receiver. The ID type should correspond to the query parameter receive_id_type. + zh_Hans: 消息接收者的 ID，ID 类型应与查询参数 receive_id_type 对应。 + llm_description: 消息接收者的 ID，ID 类型应与查询参数 receive_id_type 对应。 + form: llm + + - name: msg_type + type: string + required: true + options: + - value: text + label: + en_US: text + zh_Hans: 文本 + - value: interactive + label: + en_US: message card + zh_Hans: 消息卡片 + label: + en_US: Message type + zh_Hans: 消息类型 + human_description: + en_US: Message type, optional values are, text (text), interactive (message card). + zh_Hans: 消息类型，可选值有：text(文本)、interactive(消息卡片)。 + llm_description: 消息类型，可选值有：text(文本)、interactive(消息卡片)。 + form: llm + + - name: content + type: string + required: true + label: + en_US: Message content + zh_Hans: 消息内容 + human_description: + en_US: Message content + zh_Hans: | + 消息内容，JSON 结构序列化后的字符串。不同 msg_type 对应不同内容， + 具体格式说明参考：https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json + llm_description: 消息内容，JSON 结构序列化后的字符串。不同 msg_type 对应不同内容。 + form: llm diff --git a/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.py b/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.py new file mode 100644 index 0000000000..7159f59ffa --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.py @@ -0,0 +1,19 @@ +from typing import Any + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.tool.builtin_tool import BuiltinTool +from core.tools.utils.feishu_api_utils import FeishuRequest + + +class SendWebhookMessageTool(BuiltinTool): + def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) ->ToolInvokeMessage: + app_id = self.runtime.credentials.get('app_id') + app_secret = self.runtime.credentials.get('app_secret') + client = FeishuRequest(app_id, app_secret) + + webhook = tool_parameters.get('webhook') + msg_type = tool_parameters.get('msg_type') + content = tool_parameters.get('content') + + res = client.send_webhook_message(webhook, msg_type, content) + return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.yaml b/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.yaml new file mode 100644 index 0000000000..8b39ce4874 --- /dev/null +++ b/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.yaml @@ -0,0 +1,58 @@ +identity: + name: send_webhook_message + author: Doug Lea + label: + en_US: Send Webhook Message + zh_Hans: 使用自定义机器人发送飞书消息 +description: + human: + en_US: Send webhook message + zh_Hans: 使用自定义机器人发送飞书消息 + llm: A tool for sending Lark messages using a custom robot. +parameters: + - name: webhook + type: string + required: true + label: + en_US: webhook + zh_Hans: webhook 的地址 + human_description: + en_US: The address of the webhook + zh_Hans: webhook 的地址 + llm_description: webhook 的地址 + form: llm + + - name: msg_type + type: string + required: true + options: + - value: text + label: + en_US: text + zh_Hans: 文本 + - value: interactive + label: + en_US: message card + zh_Hans: 消息卡片 + label: + en_US: Message type + zh_Hans: 消息类型 + human_description: + en_US: Message type, optional values are, text (text), interactive (message card). + zh_Hans: 消息类型，可选值有：text(文本)、interactive(消息卡片)。 + llm_description: 消息类型，可选值有：text(文本)、interactive(消息卡片)。 + form: llm + + - name: content + type: string + required: true + label: + en_US: Message content + zh_Hans: 消息内容 + human_description: + en_US: Message content + zh_Hans: | + 消息内容，JSON 结构序列化后的字符串。不同 msg_type 对应不同内容， + 具体格式说明参考：https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json + llm_description: 消息内容，JSON 结构序列化后的字符串。不同 msg_type 对应不同内容。 + form: llm diff --git a/api/core/tools/utils/feishu_api_utils.py b/api/core/tools/utils/feishu_api_utils.py new file mode 100644 index 0000000000..e6b288868f --- /dev/null +++ b/api/core/tools/utils/feishu_api_utils.py @@ -0,0 +1,143 @@ +import httpx + +from extensions.ext_redis import redis_client + + +class FeishuRequest: + def __init__(self, app_id: str, app_secret: str): + self.app_id = app_id + self.app_secret = app_secret + + @property + def tenant_access_token(self): + feishu_tenant_access_token = f"tools:{self.app_id}:feishu_tenant_access_token" + if redis_client.exists(feishu_tenant_access_token): + return redis_client.get(feishu_tenant_access_token).decode() + res = self.get_tenant_access_token(self.app_id, self.app_secret) + redis_client.setex(feishu_tenant_access_token, res.get("expire"), res.get("tenant_access_token")) + return res.get("tenant_access_token") + + def _send_request(self, url: str, method: str = "post", require_token: bool = True, payload: dict = None, + params: dict = None): + headers = { + "Content-Type": "application/json", + "user-agent": "Dify", + } + if require_token: + headers["tenant-access-token"] = f"{self.tenant_access_token}" + res = httpx.request(method=method, url=url, headers=headers, json=payload, params=params, timeout=30).json() + if res.get("code") != 0: + raise Exception(res) + return res + + def get_tenant_access_token(self, app_id: str, app_secret: str) -> dict: + """ + API url: https://open.feishu.cn/document/server-docs/authentication-management/access-token/tenant_access_token_internal + Example Response: + { + "code": 0, + "msg": "ok", + "tenant_access_token": "t-caecc734c2e3328a62489fe0648c4b98779515d3", + "expire": 7200 + } + """ + url = "https://lark-plugin-api.solutionsuite.cn/lark-plugin/access_token/get_tenant_access_token" + payload = { + "app_id": app_id, + "app_secret": app_secret + } + res = self._send_request(url, require_token=False, payload=payload) + return res + + def create_document(self, title: str, content: str, folder_token: str) -> dict: + """ + API url: https://open.larkoffice.com/document/server-docs/docs/docs/docx-v1/document/create + Example Response: + { + "data": { + "title": "title", + "url": "https://svi136aogf123.feishu.cn/docx/VWbvd4fEdoW0WSxaY1McQTz8n7d", + "type": "docx", + "token": "VWbvd4fEdoW0WSxaY1McQTz8n7d" + }, + "log_id": "021721281231575fdbddc0200ff00060a9258ec0000103df61b5d", + "code": 0, + "msg": "创建飞书文档成功，请查看" + } + """ + url = "https://lark-plugin-api.solutionsuite.cn/lark-plugin/document/create_document" + payload = { + "title": title, + "content": content, + "folder_token": folder_token, + } + res = self._send_request(url, payload=payload) + return res.get("data") + + def write_document(self, document_id: str, content: str, position: str = "start") -> dict: + url = "https://lark-plugin-api.solutionsuite.cn/lark-plugin/document/write_document" + payload = { + "document_id": document_id, + "content": content, + "position": position + } + res = self._send_request(url, payload=payload) + return res.get("data") + + def get_document_raw_content(self, document_id: str) -> dict: + """ + API url: https://open.larkoffice.com/document/server-docs/docs/docs/docx-v1/document/raw_content + Example Response: + { + "code": 0, + "msg": "success", + "data": { + "content": "云文档\n多人实时协同，插入一切元素。不仅是在线文档，更是强大的创作和互动工具\n云文档：专为协作而生\n" + } + } + """ + params = { + "document_id": document_id, + } + url = "https://lark-plugin-api.solutionsuite.cn/lark-plugin/document/get_document_raw_content" + res = self._send_request(url, method="get", params=params) + return res.get("data").get("content") + + def list_document_block(self, document_id: str, page_token: str, page_size: int = 500) -> dict: + """ + API url: https://open.larkoffice.com/document/server-docs/docs/docs/docx-v1/document/list + """ + url = "https://lark-plugin-api.solutionsuite.cn/lark-plugin/document/list_document_block" + params = { + "document_id": document_id, + "page_size": page_size, + "page_token": page_token, + } + res = self._send_request(url, method="get", params=params) + return res.get("data") + + def send_bot_message(self, receive_id_type: str, receive_id: str, msg_type: str, content: str) -> dict: + """ + API url: https://open.larkoffice.com/document/server-docs/im-v1/message/create + """ + url = "https://lark-plugin-api.solutionsuite.cn/lark-plugin/message/send_bot_message" + params = { + "receive_id_type": receive_id_type, + } + payload = { + "receive_id": receive_id, + "msg_type": msg_type, + "content": content, + } + res = self._send_request(url, params=params, payload=payload) + return res.get("data") + + def send_webhook_message(self, webhook: str, msg_type: str, content: str) -> dict: + url = "https://lark-plugin-api.solutionsuite.cn/lark-plugin/message/send_webhook_message" + payload = { + "webhook": webhook, + "msg_type": msg_type, + "content": content, + } + res = self._send_request(url, require_token=False, payload=payload) + return res From e38334cfd2535a6981236ae4e8f76759b4aab75f Mon Sep 17 00:00:00 2001 From: Jiakun Xu Date: Wed, 28 Aug 2024 08:45:51 +0800 Subject: [PATCH 098/164] fix: doc_language return null when document segment settings (#7719) --- api/controllers/console/datasets/datasets_document.py | 2 ++ web/app/components/datasets/create/step-two/index.tsx | 4 +++- web/models/datasets.ts | 1 + 3 files changed, 6 insertions(+), 1 deletion(-) diff --git a/api/controllers/console/datasets/datasets_document.py b/api/controllers/console/datasets/datasets_document.py index 7d0b9f0460..6bc29a8643 100644 --- a/api/controllers/console/datasets/datasets_document.py +++ b/api/controllers/console/datasets/datasets_document.py @@ -599,6 +599,7 @@ class DocumentDetailApi(DocumentResource): "hit_count": document.hit_count, "display_status": document.display_status, "doc_form": document.doc_form, + "doc_language": document.doc_language, } else: process_rules = DatasetService.get_process_rules(dataset_id) @@ -631,6 +632,7 @@ class DocumentDetailApi(DocumentResource): "hit_count": document.hit_count, "display_status": document.display_status, "doc_form": document.doc_form, + "doc_language": document.doc_language, } return response, 200 diff --git a/web/app/components/datasets/create/step-two/index.tsx b/web/app/components/datasets/create/step-two/index.tsx index 890ceea630..10b378d8c5 100644 --- a/web/app/components/datasets/create/step-two/index.tsx +++ b/web/app/components/datasets/create/step-two/index.tsx @@ -123,7 +123,9 @@ const StepTwo = ({ const [docForm, setDocForm] = useState( (datasetId && documentDetail) ? documentDetail.doc_form : DocForm.TEXT, ) - const [docLanguage, setDocLanguage] = useState(locale !== LanguagesSupported[1] ? 'English' : 'Chinese') + const [docLanguage, setDocLanguage] = useState( + (datasetId && documentDetail) ? documentDetail.doc_language : (locale !== LanguagesSupported[1] ? 'English' : 'Chinese'), + ) const [QATipHide, setQATipHide] = useState(false) const [previewSwitched, setPreviewSwitched] = useState(false) const [showPreview, { setTrue: setShowPreview, setFalse: hidePreview }] = useBoolean() diff --git a/web/models/datasets.ts b/web/models/datasets.ts index 5731ec7646..0ae7831245 100644 --- a/web/models/datasets.ts +++ b/web/models/datasets.ts @@ -189,6 +189,7 @@ export type InitialDocumentDetail = { completed_segments?: number total_segments?: number doc_form: 'text_model' | 'qa_model' + doc_language: string } export type SimpleDocumentDetail = InitialDocumentDetail & { From bc3a8e0ca2ad4117a2fe3899f36a59f6c2effc85 Mon Sep 17 00:00:00 2001 From: kurokobo Date: Wed, 28 Aug 2024 09:47:30 +0900 Subject: [PATCH 099/164] feat: store created_by and updated_by for apps, modelconfigs, and sites (#7613) --- api/controllers/console/app/model_config.py | 2 + api/controllers/console/app/site.py | 6 +++ .../create_site_record_when_app_created.py | 2 + api/fields/app_fields.py | 24 +++++++++ api/fields/workflow_fields.py | 8 +++ ...d_add_created_by_and_updated_by_to_app_.py | 52 +++++++++++++++++++ api/models/model.py | 6 +++ api/services/app_dsl_service.py | 4 ++ api/services/app_service.py | 9 ++++ api/services/workflow/workflow_converter.py | 2 + 10 files changed, 115 insertions(+) create mode 100644 api/migrations/versions/2024_08_25_0441-d0187d6a88dd_add_created_by_and_updated_by_to_app_.py diff --git a/api/controllers/console/app/model_config.py b/api/controllers/console/app/model_config.py index 702afe9864..f5068a4cd8 100644 --- a/api/controllers/console/app/model_config.py +++ b/api/controllers/console/app/model_config.py @@ -32,6 +32,8 @@ class ModelConfigResource(Resource): new_app_model_config = AppModelConfig( app_id=app_model.id, + created_by=current_user.id, + updated_by=current_user.id, ) new_app_model_config = new_app_model_config.from_model_config_dict(model_configuration) diff --git a/api/controllers/console/app/site.py b/api/controllers/console/app/site.py index d903a2609f..f936642acd 100644 --- a/api/controllers/console/app/site.py +++ b/api/controllers/console/app/site.py @@ -1,3 +1,5 @@ +from datetime import datetime, timezone + from flask_login import current_user from flask_restful import Resource, marshal_with, reqparse from werkzeug.exceptions import Forbidden, NotFound @@ -71,6 +73,8 @@ class AppSite(Resource): if value is not None: setattr(site, attr_name, value) + site.updated_by = current_user.id + site.updated_at = datetime.now(timezone.utc).replace(tzinfo=None) db.session.commit() return site @@ -93,6 +97,8 @@ class AppSiteAccessTokenReset(Resource): raise NotFound site.code = Site.generate_code(16) + site.updated_by = current_user.id + site.updated_at = datetime.now(timezone.utc).replace(tzinfo=None) db.session.commit() return site diff --git a/api/events/event_handlers/create_site_record_when_app_created.py b/api/events/event_handlers/create_site_record_when_app_created.py index ab07c5d366..1515661b2d 100644 --- a/api/events/event_handlers/create_site_record_when_app_created.py +++ b/api/events/event_handlers/create_site_record_when_app_created.py @@ -17,6 +17,8 @@ def handle(sender, **kwargs): default_language=account.interface_language, customize_token_strategy="not_allow", code=Site.generate_code(16), + created_by=app.created_by, + updated_by=app.updated_by, ) db.session.add(site) diff --git a/api/fields/app_fields.py b/api/fields/app_fields.py index 26ed686783..45fcb128ce 100644 --- a/api/fields/app_fields.py +++ b/api/fields/app_fields.py @@ -1,5 +1,6 @@ from flask_restful import fields +from fields.workflow_fields import workflow_partial_fields from libs.helper import AppIconUrlField, TimestampField app_detail_kernel_fields = { @@ -39,7 +40,10 @@ model_config_fields = { "completion_prompt_config": fields.Raw(attribute="completion_prompt_config_dict"), "dataset_configs": fields.Raw(attribute="dataset_configs_dict"), "file_upload": fields.Raw(attribute="file_upload_dict"), + "created_by": fields.String, "created_at": TimestampField, + "updated_by": fields.String, + "updated_at": TimestampField, } app_detail_fields = { @@ -52,8 +56,12 @@ app_detail_fields = { "enable_site": fields.Boolean, "enable_api": fields.Boolean, "model_config": fields.Nested(model_config_fields, attribute="app_model_config", allow_null=True), + "workflow": fields.Nested(workflow_partial_fields, allow_null=True), "tracing": fields.Raw, + "created_by": fields.String, "created_at": TimestampField, + "updated_by": fields.String, + "updated_at": TimestampField, } prompt_config_fields = { @@ -63,6 +71,10 @@ prompt_config_fields = { model_config_partial_fields = { "model": fields.Raw(attribute="model_dict"), "pre_prompt": fields.String, + "created_by": fields.String, + "created_at": TimestampField, + "updated_by": fields.String, + "updated_at": TimestampField, } tag_fields = {"id": fields.String, "name": fields.String, "type": fields.String} @@ -78,7 +90,11 @@ app_partial_fields = { "icon_background": fields.String, "icon_url": AppIconUrlField, "model_config": fields.Nested(model_config_partial_fields, attribute="app_model_config", allow_null=True), + "workflow": fields.Nested(workflow_partial_fields, allow_null=True), + "created_by": fields.String, "created_at": TimestampField, + "updated_by": fields.String, + "updated_at": TimestampField, "tags": fields.List(fields.Nested(tag_fields)), } @@ -124,6 +140,10 @@ site_fields = { "prompt_public": fields.Boolean, "app_base_url": fields.String, "show_workflow_steps": fields.Boolean, + "created_by": fields.String, + "created_at": TimestampField, + "updated_by": fields.String, + "updated_at": TimestampField, } app_detail_fields_with_site = { @@ -138,9 +158,13 @@ app_detail_fields_with_site = { "enable_site": fields.Boolean, "enable_api": fields.Boolean, "model_config": fields.Nested(model_config_fields, attribute="app_model_config", allow_null=True), + "workflow": fields.Nested(workflow_partial_fields, allow_null=True), "site": fields.Nested(site_fields), "api_base_url": fields.String, + "created_by": fields.String, "created_at": TimestampField, + "updated_by": fields.String, + "updated_at": TimestampField, "deleted_tools": fields.List(fields.String), } diff --git a/api/fields/workflow_fields.py b/api/fields/workflow_fields.py index 240b8f2eb0..2adef63ada 100644 --- a/api/fields/workflow_fields.py +++ b/api/fields/workflow_fields.py @@ -53,3 +53,11 @@ workflow_fields = { "environment_variables": fields.List(EnvironmentVariableField()), "conversation_variables": fields.List(fields.Nested(conversation_variable_fields)), } + +workflow_partial_fields = { + "id": fields.String, + "created_by": fields.String, + "created_at": TimestampField, + "updated_by": fields.String, + "updated_at": TimestampField, +} diff --git a/api/migrations/versions/2024_08_25_0441-d0187d6a88dd_add_created_by_and_updated_by_to_app_.py b/api/migrations/versions/2024_08_25_0441-d0187d6a88dd_add_created_by_and_updated_by_to_app_.py new file mode 100644 index 0000000000..e0066a302c --- /dev/null +++ b/api/migrations/versions/2024_08_25_0441-d0187d6a88dd_add_created_by_and_updated_by_to_app_.py @@ -0,0 +1,52 @@ +"""add created_by and updated_by to app, modelconfig, and site + +Revision ID: d0187d6a88dd +Revises: 2dbe42621d96 +Create Date: 2024-08-25 04:41:18.157397 + +""" + +import sqlalchemy as sa +from alembic import op + +import models as models + +# revision identifiers, used by Alembic. +revision = "d0187d6a88dd" +down_revision = "2dbe42621d96" +branch_labels = None +depends_on = None + + +def upgrade(): + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table("app_model_configs", schema=None) as batch_op: + batch_op.add_column(sa.Column("created_by", models.types.StringUUID(), nullable=True)) + batch_op.add_column(sa.Column("updated_by", models.types.StringUUID(), nullable=True)) + + with op.batch_alter_table("apps", schema=None) as batch_op: + batch_op.add_column(sa.Column("created_by", models.types.StringUUID(), nullable=True)) + batch_op.add_column(sa.Column("updated_by", models.types.StringUUID(), nullable=True)) + + with op.batch_alter_table("sites", schema=None) as batch_op: + batch_op.add_column(sa.Column("created_by", models.types.StringUUID(), nullable=True)) + batch_op.add_column(sa.Column("updated_by", models.types.StringUUID(), nullable=True)) + + # ### end Alembic commands ### + + +def downgrade(): + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table("sites", schema=None) as batch_op: + batch_op.drop_column("updated_by") + batch_op.drop_column("created_by") + + with op.batch_alter_table("apps", schema=None) as batch_op: + batch_op.drop_column("updated_by") + batch_op.drop_column("created_by") + + with op.batch_alter_table("app_model_configs", schema=None) as batch_op: + batch_op.drop_column("updated_by") + batch_op.drop_column("created_by") + + # ### end Alembic commands ### diff --git a/api/models/model.py b/api/models/model.py index 83c56363e3..e2d1fcfc23 100644 --- a/api/models/model.py +++ b/api/models/model.py @@ -82,7 +82,9 @@ class App(db.Model): is_universal = db.Column(db.Boolean, nullable=False, server_default=db.text('false')) tracing = db.Column(db.Text, nullable=True) max_active_requests = db.Column(db.Integer, nullable=True) + created_by = db.Column(StringUUID, nullable=True) created_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)')) + updated_by = db.Column(StringUUID, nullable=True) updated_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)')) @property @@ -221,7 +223,9 @@ class AppModelConfig(db.Model): provider = db.Column(db.String(255), nullable=True) model_id = db.Column(db.String(255), nullable=True) configs = db.Column(db.JSON, nullable=True) + created_by = db.Column(StringUUID, nullable=True) created_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)')) + updated_by = db.Column(StringUUID, nullable=True) updated_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)')) opening_statement = db.Column(db.Text) suggested_questions = db.Column(db.Text) @@ -1115,7 +1119,9 @@ class Site(db.Model): customize_token_strategy = db.Column(db.String(255), nullable=False) prompt_public = db.Column(db.Boolean, nullable=False, server_default=db.text('false')) status = db.Column(db.String(255), nullable=False, server_default=db.text("'normal'::character varying")) + created_by = db.Column(StringUUID, nullable=True) created_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)')) + updated_by = db.Column(StringUUID, nullable=True) updated_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)')) code = db.Column(db.String(255)) diff --git a/api/services/app_dsl_service.py b/api/services/app_dsl_service.py index a938b4f93b..a2aa15ed4b 100644 --- a/api/services/app_dsl_service.py +++ b/api/services/app_dsl_service.py @@ -346,6 +346,8 @@ class AppDslService: app_model_config = AppModelConfig() app_model_config = app_model_config.from_model_config_dict(model_config_data) app_model_config.app_id = app.id + app_model_config.created_by = account.id + app_model_config.updated_by = account.id db.session.add(app_model_config) db.session.commit() @@ -390,6 +392,8 @@ class AppDslService: icon_background=icon_background, enable_site=True, enable_api=True, + created_by=account.id, + updated_by=account.id, ) db.session.add(app) diff --git a/api/services/app_service.py b/api/services/app_service.py index 8a2f8c0535..462613fb7d 100644 --- a/api/services/app_service.py +++ b/api/services/app_service.py @@ -127,6 +127,8 @@ class AppService: app.tenant_id = tenant_id app.api_rph = args.get("api_rph", 0) app.api_rpm = args.get("api_rpm", 0) + app.created_by = account.id + app.updated_by = account.id db.session.add(app) db.session.flush() @@ -134,6 +136,8 @@ class AppService: if default_model_config: app_model_config = AppModelConfig(**default_model_config) app_model_config.app_id = app.id + app_model_config.created_by = account.id + app_model_config.updated_by = account.id db.session.add(app_model_config) db.session.flush() @@ -217,6 +221,7 @@ class AppService: app.icon_type = args.get("icon_type", "emoji") app.icon = args.get("icon") app.icon_background = args.get("icon_background") + app.updated_by = current_user.id app.updated_at = datetime.now(timezone.utc).replace(tzinfo=None) db.session.commit() @@ -233,6 +238,7 @@ class AppService: :return: App instance """ app.name = name + app.updated_by = current_user.id app.updated_at = datetime.now(timezone.utc).replace(tzinfo=None) db.session.commit() @@ -248,6 +254,7 @@ class AppService: """ app.icon = icon app.icon_background = icon_background + app.updated_by = current_user.id app.updated_at = datetime.now(timezone.utc).replace(tzinfo=None) db.session.commit() @@ -264,6 +271,7 @@ class AppService: return app app.enable_site = enable_site + app.updated_by = current_user.id app.updated_at = datetime.now(timezone.utc).replace(tzinfo=None) db.session.commit() @@ -280,6 +288,7 @@ class AppService: return app app.enable_api = enable_api + app.updated_by = current_user.id app.updated_at = datetime.now(timezone.utc).replace(tzinfo=None) db.session.commit() diff --git a/api/services/workflow/workflow_converter.py b/api/services/workflow/workflow_converter.py index c9057bd0e5..4b845be2f4 100644 --- a/api/services/workflow/workflow_converter.py +++ b/api/services/workflow/workflow_converter.py @@ -74,6 +74,8 @@ class WorkflowConverter: new_app.api_rph = app_model.api_rph new_app.is_demo = False new_app.is_public = app_model.is_public + new_app.created_by = account.id + new_app.updated_by = account.id db.session.add(new_app) db.session.flush() db.session.commit() From 693fe912f283c633677cc1b85dfc5876b7a790e2 Mon Sep 17 00:00:00 2001 From: KVOJJJin Date: Wed, 28 Aug 2024 09:42:54 +0800 Subject: [PATCH 100/164] Fix annotation reply settings (#7696) --- web/app/components/app/annotation/index.tsx | 2 +- .../toolbox/annotation/config-param.tsx | 2 +- .../components/app/configuration/toolbox/index.tsx | 2 +- web/app/components/app/log-annotation/index.tsx | 14 +++++++++----- 4 files changed, 12 insertions(+), 8 deletions(-) diff --git a/web/app/components/app/annotation/index.tsx b/web/app/components/app/annotation/index.tsx index 1e65d7a94f..0f54f5bfc3 100644 --- a/web/app/components/app/annotation/index.tsx +++ b/web/app/components/app/annotation/index.tsx @@ -280,7 +280,7 @@ const Annotation: FC = ({ onSave={async (embeddingModel, score) => { if ( embeddingModel.embedding_model_name !== annotationConfig?.embedding_model?.embedding_model_name - && embeddingModel.embedding_provider_name !== annotationConfig?.embedding_model?.embedding_provider_name + || embeddingModel.embedding_provider_name !== annotationConfig?.embedding_model?.embedding_provider_name ) { const { job_id: jobId }: any = await updateAnnotationStatus(appDetail.id, AnnotationEnableStatus.enable, embeddingModel, score) await ensureJobCompleted(jobId, AnnotationEnableStatus.enable) diff --git a/web/app/components/app/configuration/toolbox/annotation/config-param.tsx b/web/app/components/app/configuration/toolbox/annotation/config-param.tsx index e49c69e373..e418a76c34 100644 --- a/web/app/components/app/configuration/toolbox/annotation/config-param.tsx +++ b/web/app/components/app/configuration/toolbox/annotation/config-param.tsx @@ -98,7 +98,7 @@ const AnnotationReplyConfig: FC = ({ let isEmbeddingModelChanged = false if ( embeddingModel.embedding_model_name !== annotationConfig.embedding_model.embedding_model_name - && embeddingModel.embedding_provider_name !== annotationConfig.embedding_model.embedding_provider_name + || embeddingModel.embedding_provider_name !== annotationConfig.embedding_model.embedding_provider_name ) { await onEmbeddingChange(embeddingModel) isEmbeddingModelChanged = true diff --git a/web/app/components/app/configuration/toolbox/index.tsx b/web/app/components/app/configuration/toolbox/index.tsx index 488ca86b90..00ea301a42 100644 --- a/web/app/components/app/configuration/toolbox/index.tsx +++ b/web/app/components/app/configuration/toolbox/index.tsx @@ -32,7 +32,7 @@ const Toolbox: FC = ({ ) } { - (showAnnotation || true) && ( + showAnnotation && ( = ({ const router = useRouter() const appDetail = useAppStore(state => state.appDetail) - const options = [ - { value: PageType.log, text: t('appLog.title') }, - { value: PageType.annotation, text: t('appAnnotation.title') }, - ] + const options = useMemo(() => { + if (appDetail?.mode === 'completion') + return [{ value: PageType.log, text: t('appLog.title') }] + return [ + { value: PageType.log, text: t('appLog.title') }, + { value: PageType.annotation, text: t('appAnnotation.title') }, + ] + }, [appDetail]) if (!appDetail) { return ( From 7cfebffbb883f942dc683a3739a299ea4839f0a6 Mon Sep 17 00:00:00 2001 From: sino Date: Wed, 28 Aug 2024 13:56:50 +0800 Subject: [PATCH 101/164] chore: update default endpoint for ark provider (#7741) --- .../model_providers/volcengine_maas/client.py | 21 ++++++++++++++----- .../volcengine_maas/volcengine_maas.yaml | 2 +- 2 files changed, 17 insertions(+), 6 deletions(-) diff --git a/api/core/model_runtime/model_providers/volcengine_maas/client.py b/api/core/model_runtime/model_providers/volcengine_maas/client.py index 5100494e58..61f3521a43 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/client.py +++ b/api/core/model_runtime/model_providers/volcengine_maas/client.py @@ -32,6 +32,9 @@ from core.model_runtime.entities.message_entities import ( UserPromptMessage, ) +DEFAULT_V2_ENDPOINT = "maas-api.ml-platform-cn-beijing.volces.com" +DEFAULT_V3_ENDPOINT = "https://ark.cn-beijing.volces.com/api/v3" + class ArkClientV3: endpoint_id: Optional[str] = None @@ -43,16 +46,24 @@ class ArkClientV3: @staticmethod def is_legacy(credentials: dict) -> bool: + # match default v2 endpoint if ArkClientV3.is_compatible_with_legacy(credentials): return False - sdk_version = credentials.get("sdk_version", "v2") - return sdk_version != "v3" + # match default v3 endpoint + if credentials.get("api_endpoint_host") == DEFAULT_V3_ENDPOINT: + return False + # only v3 support api_key + if credentials.get("auth_method") == "api_key": + return False + # these cases are considered as sdk v2 + # - modified default v2 endpoint + # - modified default v3 endpoint and auth without api_key + return True @staticmethod def is_compatible_with_legacy(credentials: dict) -> bool: - sdk_version = credentials.get("sdk_version") endpoint = credentials.get("api_endpoint_host") - return sdk_version is None and endpoint == "maas-api.ml-platform-cn-beijing.volces.com" + return endpoint == DEFAULT_V2_ENDPOINT @classmethod def from_credentials(cls, credentials): @@ -64,7 +75,7 @@ class ArkClientV3: "sk": credentials['volc_secret_access_key'], } if cls.is_compatible_with_legacy(credentials): - args["base_url"] = "https://ark.cn-beijing.volces.com/api/v3" + args["base_url"] = DEFAULT_V3_ENDPOINT client = ArkClientV3( **args diff --git a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml b/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml index a00c1b7994..735ba2b314 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml +++ b/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml @@ -64,7 +64,7 @@ model_credential_schema: en_US: API Endpoint Host zh_Hans: API Endpoint Host type: text-input - default: maas-api.ml-platform-cn-beijing.volces.com + default: https://ark.cn-beijing.volces.com/api/v3 placeholder: en_US: Enter your API Endpoint Host zh_Hans: 输入 API Endpoint Host From 4682e0ac7c415a3ae5675b15f066f01bc1884bcd Mon Sep 17 00:00:00 2001 From: Vimpas Date: Wed, 28 Aug 2024 13:57:45 +0800 Subject: [PATCH 102/164] =?UTF-8?q?fix(storage):=20=F0=9F=90=9B=20HeadBuck?= =?UTF-8?q?et=20Operation=20Permission=20(#7733)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: 莫岳恒 --- api/extensions/storage/s3_storage.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/api/extensions/storage/s3_storage.py b/api/extensions/storage/s3_storage.py index 424d441cdc..0858be3af6 100644 --- a/api/extensions/storage/s3_storage.py +++ b/api/extensions/storage/s3_storage.py @@ -35,6 +35,9 @@ class S3Storage(BaseStorage): # if bucket not exists, create it if e.response["Error"]["Code"] == "404": self.client.create_bucket(Bucket=self.bucket_name) + # if bucket is not accessible, pass, maybe the bucket is existing but not accessible + elif e.response["Error"]["Code"] == "403": + pass else: # other error, raise exception raise From 9342b4b95192c0372ce9a3a79aa485c4962ba2fe Mon Sep 17 00:00:00 2001 From: snickerjp Date: Wed, 28 Aug 2024 15:44:05 +0900 Subject: [PATCH 103/164] Update package "libldap-2.5-0" for docker build. (#7726) --- api/Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/Dockerfile b/api/Dockerfile index cca6488679..82b89ad77b 100644 --- a/api/Dockerfile +++ b/api/Dockerfile @@ -55,7 +55,7 @@ RUN apt-get update \ && echo "deb http://deb.debian.org/debian testing main" > /etc/apt/sources.list \ && apt-get update \ # For Security - && apt-get install -y --no-install-recommends zlib1g=1:1.3.dfsg+really1.3.1-1 expat=2.6.2-1 libldap-2.5-0=2.5.18+dfsg-2 perl=5.38.2-5 libsqlite3-0=3.46.0-1 \ + && apt-get install -y --no-install-recommends zlib1g=1:1.3.dfsg+really1.3.1-1 expat=2.6.2-1 libldap-2.5-0=2.5.18+dfsg-3 perl=5.38.2-5 libsqlite3-0=3.46.0-1 \ && apt-get autoremove -y \ && rm -rf /var/lib/apt/lists/* From 3a071b8db98c004fdd8049a6ed0fce5321978267 Mon Sep 17 00:00:00 2001 From: crazywoola <100913391+crazywoola@users.noreply.github.com> Date: Wed, 28 Aug 2024 15:36:11 +0800 Subject: [PATCH 104/164] fix: datasets permission is missing (#7751) --- api/services/dataset_service.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py index 8649d0fea5..ce5fa632dc 100644 --- a/api/services/dataset_service.py +++ b/api/services/dataset_service.py @@ -136,7 +136,9 @@ class DatasetService: return datasets.items, datasets.total @staticmethod - def create_empty_dataset(tenant_id: str, name: str, indexing_technique: Optional[str], account: Account): + def create_empty_dataset( + tenant_id: str, name: str, indexing_technique: Optional[str], account: Account, permission: Optional[str] + ): # check if dataset name already exists if Dataset.query.filter_by(name=name, tenant_id=tenant_id).first(): raise DatasetNameDuplicateError(f"Dataset with name {name} already exists.") @@ -153,6 +155,7 @@ class DatasetService: dataset.tenant_id = tenant_id dataset.embedding_model_provider = embedding_model.provider if embedding_model else None dataset.embedding_model = embedding_model.model if embedding_model else None + dataset.permission = permission if permission else DatasetPermissionEnum.ONLY_ME db.session.add(dataset) db.session.commit() return dataset From 7541a492b79dbb5ad6bf6043eeafc75767fe14ed Mon Sep 17 00:00:00 2001 From: Joel Date: Wed, 28 Aug 2024 17:16:07 +0800 Subject: [PATCH 105/164] fix: crawl options max length can not set 0 (#7758) Co-authored-by: Yi --- .../components/datasets/create/website/firecrawl/base/field.tsx | 2 +- .../components/datasets/create/website/firecrawl/base/input.tsx | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/web/app/components/datasets/create/website/firecrawl/base/field.tsx b/web/app/components/datasets/create/website/firecrawl/base/field.tsx index cac40798c1..5b5ca90c5d 100644 --- a/web/app/components/datasets/create/website/firecrawl/base/field.tsx +++ b/web/app/components/datasets/create/website/firecrawl/base/field.tsx @@ -38,7 +38,7 @@ const Field: FC = ({ popupContent={
{tooltip}
} - popupClassName='relative top-[3px] w-3 h-3 ml-1' + triggerClassName='ml-0.5 w-4 h-4' /> )}
diff --git a/web/app/components/datasets/create/website/firecrawl/base/input.tsx b/web/app/components/datasets/create/website/firecrawl/base/input.tsx index 06249f57e7..7d2d2b609f 100644 --- a/web/app/components/datasets/create/website/firecrawl/base/input.tsx +++ b/web/app/components/datasets/create/website/firecrawl/base/input.tsx @@ -9,7 +9,7 @@ type Props = { isNumber?: boolean } -const MIN_VALUE = 1 +const MIN_VALUE = 0 const Input: FC = ({ value, From 5d0914daea66aaef9d0ee4f86672dae198483043 Mon Sep 17 00:00:00 2001 From: Leheng Lu <55642493+Leheng620@users.noreply.github.com> Date: Wed, 28 Aug 2024 17:25:20 +0800 Subject: [PATCH 106/164] fix: not able to pass array of string/number/object into variable aggregator groups (#7757) --- api/core/workflow/nodes/variable_aggregator/entities.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/api/core/workflow/nodes/variable_aggregator/entities.py b/api/core/workflow/nodes/variable_aggregator/entities.py index cea88334b9..e5de38dc0f 100644 --- a/api/core/workflow/nodes/variable_aggregator/entities.py +++ b/api/core/workflow/nodes/variable_aggregator/entities.py @@ -17,7 +17,7 @@ class AdvancedSettings(BaseModel): """ Group. """ - output_type: Literal['string', 'number', 'array', 'object'] + output_type: Literal['string', 'number', 'object', 'array[string]', 'array[number]', 'array[object]'] variables: list[list[str]] group_name: str @@ -30,4 +30,4 @@ class VariableAssignerNodeData(BaseNodeData): type: str = 'variable-assigner' output_type: str variables: list[list[str]] - advanced_settings: Optional[AdvancedSettings] = None \ No newline at end of file + advanced_settings: Optional[AdvancedSettings] = None From 26abbe8e5bf7d957617dc1e00b648d897f4e96db Mon Sep 17 00:00:00 2001 From: zhuhao <37029601+hwzhuhao@users.noreply.github.com> Date: Wed, 28 Aug 2024 17:27:20 +0800 Subject: [PATCH 107/164] feat(Tools): add a tool to query the stock price from Alpha Vantage (#7019) (#7752) --- api/core/tools/provider/_position.yaml | 1 + .../builtin/alphavantage/_assets/icon.svg | 7 +++ .../builtin/alphavantage/alphavantage.py | 22 +++++++++ .../builtin/alphavantage/alphavantage.yaml | 31 ++++++++++++ .../builtin/alphavantage/tools/query_stock.py | 49 +++++++++++++++++++ .../alphavantage/tools/query_stock.yaml | 27 ++++++++++ 6 files changed, 137 insertions(+) create mode 100644 api/core/tools/provider/builtin/alphavantage/_assets/icon.svg create mode 100644 api/core/tools/provider/builtin/alphavantage/alphavantage.py create mode 100644 api/core/tools/provider/builtin/alphavantage/alphavantage.yaml create mode 100644 api/core/tools/provider/builtin/alphavantage/tools/query_stock.py create mode 100644 api/core/tools/provider/builtin/alphavantage/tools/query_stock.yaml diff --git a/api/core/tools/provider/_position.yaml b/api/core/tools/provider/_position.yaml index b804089570..9b90dda3b2 100644 --- a/api/core/tools/provider/_position.yaml +++ b/api/core/tools/provider/_position.yaml @@ -10,6 +10,7 @@ - wikipedia - nominatim - yahoo +- alphavantage - arxiv - pubmed - stablediffusion diff --git a/api/core/tools/provider/builtin/alphavantage/_assets/icon.svg b/api/core/tools/provider/builtin/alphavantage/_assets/icon.svg new file mode 100644 index 0000000000..785432943b --- /dev/null +++ b/api/core/tools/provider/builtin/alphavantage/_assets/icon.svg @@ -0,0 +1,7 @@ + + + 形状结合 + + + + \ No newline at end of file diff --git a/api/core/tools/provider/builtin/alphavantage/alphavantage.py b/api/core/tools/provider/builtin/alphavantage/alphavantage.py new file mode 100644 index 0000000000..01f2acfb5b --- /dev/null +++ b/api/core/tools/provider/builtin/alphavantage/alphavantage.py @@ -0,0 +1,22 @@ +from typing import Any + +from core.tools.errors import ToolProviderCredentialValidationError +from core.tools.provider.builtin.alphavantage.tools.query_stock import QueryStockTool +from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController + + +class AlphaVantageProvider(BuiltinToolProviderController): + def _validate_credentials(self, credentials: dict[str, Any]) -> None: + try: + QueryStockTool().fork_tool_runtime( + runtime={ + "credentials": credentials, + } + ).invoke( + user_id='', + tool_parameters={ + "code": "AAPL", # Apple Inc. + }, + ) + except Exception as e: + raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/alphavantage/alphavantage.yaml b/api/core/tools/provider/builtin/alphavantage/alphavantage.yaml new file mode 100644 index 0000000000..710510cfd8 --- /dev/null +++ b/api/core/tools/provider/builtin/alphavantage/alphavantage.yaml @@ -0,0 +1,31 @@ +identity: + author: zhuhao + name: alphavantage + label: + en_US: AlphaVantage + zh_Hans: AlphaVantage + pt_BR: AlphaVantage + description: + en_US: AlphaVantage is an online platform that provides financial market data and APIs, making it convenient for individual investors and developers to access stock quotes, technical indicators, and stock analysis. + zh_Hans: AlphaVantage是一个在线平台，它提供金融市场数据和API，便于个人投资者和开发者获取股票报价、技术指标和股票分析。 + pt_BR: AlphaVantage is an online platform that provides financial market data and APIs, making it convenient for individual investors and developers to access stock quotes, technical indicators, and stock analysis. + icon: icon.svg + tags: + - finance +credentials_for_provider: + api_key: + type: secret-input + required: true + label: + en_US: AlphaVantage API key + zh_Hans: AlphaVantage API key + pt_BR: AlphaVantage API key + placeholder: + en_US: Please input your AlphaVantage API key + zh_Hans: 请输入你的 AlphaVantage API key + pt_BR: Please input your AlphaVantage API key + help: + en_US: Get your AlphaVantage API key from AlphaVantage + zh_Hans: 从 AlphaVantage 获取您的 AlphaVantage API key + pt_BR: Get your AlphaVantage API key from AlphaVantage + url: https://www.alphavantage.co/support/#api-key diff --git a/api/core/tools/provider/builtin/alphavantage/tools/query_stock.py b/api/core/tools/provider/builtin/alphavantage/tools/query_stock.py new file mode 100644 index 0000000000..5c379b746d --- /dev/null +++ b/api/core/tools/provider/builtin/alphavantage/tools/query_stock.py @@ -0,0 +1,49 @@ +from typing import Any, Union + +import requests + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.tool.builtin_tool import BuiltinTool + +ALPHAVANTAGE_API_URL = "https://www.alphavantage.co/query" + + +class QueryStockTool(BuiltinTool): + + def _invoke(self, + user_id: str, + tool_parameters: dict[str, Any], + ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: + + stock_code = tool_parameters.get('code', '') + if not stock_code: + return self.create_text_message('Please tell me your stock code') + + if 'api_key' not in self.runtime.credentials or not self.runtime.credentials.get('api_key'): + return self.create_text_message("Alpha Vantage API key is required.") + + params = { + "function": "TIME_SERIES_DAILY", + "symbol": stock_code, + "outputsize": "compact", + "datatype": "json", + "apikey": self.runtime.credentials['api_key'] + } + response = requests.get(url=ALPHAVANTAGE_API_URL, params=params) + response.raise_for_status() + result = self._handle_response(response.json()) + return self.create_json_message(result) + + def _handle_response(self, response: dict[str, Any]) -> dict[str, Any]: + result = response.get('Time Series (Daily)', {}) + if not result: + return {} + stock_result = {} + for k, v in result.items(): + stock_result[k] = {} + stock_result[k]['open'] = v.get('1. open') + stock_result[k]['high'] = v.get('2. high') + stock_result[k]['low'] = v.get('3. low') + stock_result[k]['close'] = v.get('4. close') + stock_result[k]['volume'] = v.get('5. volume') + return stock_result diff --git a/api/core/tools/provider/builtin/alphavantage/tools/query_stock.yaml b/api/core/tools/provider/builtin/alphavantage/tools/query_stock.yaml new file mode 100644 index 0000000000..d89f34e373 --- /dev/null +++ b/api/core/tools/provider/builtin/alphavantage/tools/query_stock.yaml @@ -0,0 +1,27 @@ +identity: + name: query_stock + author: zhuhao + label: + en_US: query_stock + zh_Hans: query_stock + pt_BR: query_stock +description: + human: + en_US: Retrieve information such as daily opening price, daily highest price, daily lowest price, daily closing price, and daily trading volume for a specified stock symbol. + zh_Hans: 获取指定股票代码的每日开盘价、每日最高价、每日最低价、每日收盘价和每日交易量等信息。 + pt_BR: Retrieve information such as daily opening price, daily highest price, daily lowest price, daily closing price, and daily trading volume for a specified stock symbol + llm: Retrieve information such as daily opening price, daily highest price, daily lowest price, daily closing price, and daily trading volume for a specified stock symbol +parameters: + - name: code + type: string + required: true + label: + en_US: stock code + zh_Hans: 股票代码 + pt_BR: stock code + human_description: + en_US: stock code + zh_Hans: 股票代码 + pt_BR: stock code + llm_description: stock code for query from alphavantage + form: llm From 3a67fc6c5af17345abc947409e65f56d10b31282 Mon Sep 17 00:00:00 2001 From: YidaHu Date: Wed, 28 Aug 2024 17:30:13 +0800 Subject: [PATCH 108/164] feat: add support for array types in available variable list (#7715) --- .../workflow/nodes/http/components/edit-body/index.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/web/app/components/workflow/nodes/http/components/edit-body/index.tsx b/web/app/components/workflow/nodes/http/components/edit-body/index.tsx index 645bcdcdf9..6e8f4eac3b 100644 --- a/web/app/components/workflow/nodes/http/components/edit-body/index.tsx +++ b/web/app/components/workflow/nodes/http/components/edit-body/index.tsx @@ -44,7 +44,7 @@ const EditBody: FC = ({ const { availableVars, availableNodes } = useAvailableVarList(nodeId, { onlyLeafNodeVar: false, filterVar: (varPayload: Var) => { - return [VarType.string, VarType.number, VarType.secret].includes(varPayload.type) + return [VarType.string, VarType.number, VarType.secret, VarType.arrayNumber, VarType.arrayString].includes(varPayload.type) }, }) From 1262277714ba00120f61c71cbae309e06a520622 Mon Sep 17 00:00:00 2001 From: Bowen Liang Date: Wed, 28 Aug 2024 17:46:37 +0800 Subject: [PATCH 109/164] chore: improve http executor configs (#7730) --- .../workflow/nodes/http_request/entities.py | 10 ++---- .../nodes/http_request/http_request_node.py | 31 +++++++++---------- 2 files changed, 18 insertions(+), 23 deletions(-) diff --git a/api/core/workflow/nodes/http_request/entities.py b/api/core/workflow/nodes/http_request/entities.py index 90d644e0e2..c066d469d8 100644 --- a/api/core/workflow/nodes/http_request/entities.py +++ b/api/core/workflow/nodes/http_request/entities.py @@ -5,10 +5,6 @@ from pydantic import BaseModel, ValidationInfo, field_validator from configs import dify_config from core.workflow.entities.base_node_data_entities import BaseNodeData -MAX_CONNECT_TIMEOUT = dify_config.HTTP_REQUEST_MAX_CONNECT_TIMEOUT -MAX_READ_TIMEOUT = dify_config.HTTP_REQUEST_MAX_READ_TIMEOUT -MAX_WRITE_TIMEOUT = dify_config.HTTP_REQUEST_MAX_WRITE_TIMEOUT - class HttpRequestNodeAuthorizationConfig(BaseModel): type: Literal[None, 'basic', 'bearer', 'custom'] @@ -41,9 +37,9 @@ class HttpRequestNodeBody(BaseModel): class HttpRequestNodeTimeout(BaseModel): - connect: int = MAX_CONNECT_TIMEOUT - read: int = MAX_READ_TIMEOUT - write: int = MAX_WRITE_TIMEOUT + connect: int = dify_config.HTTP_REQUEST_MAX_CONNECT_TIMEOUT + read: int = dify_config.HTTP_REQUEST_MAX_READ_TIMEOUT + write: int = dify_config.HTTP_REQUEST_MAX_WRITE_TIMEOUT class HttpRequestNodeData(BaseNodeData): diff --git a/api/core/workflow/nodes/http_request/http_request_node.py b/api/core/workflow/nodes/http_request/http_request_node.py index 1facf8a4f4..f6c8ea3c83 100644 --- a/api/core/workflow/nodes/http_request/http_request_node.py +++ b/api/core/workflow/nodes/http_request/http_request_node.py @@ -3,6 +3,7 @@ from mimetypes import guess_extension from os import path from typing import cast +from configs import dify_config from core.app.segments import parser from core.file.file_obj import FileTransferMethod, FileType, FileVar from core.tools.tool_file_manager import ToolFileManager @@ -11,9 +12,6 @@ from core.workflow.entities.node_entities import NodeRunResult, NodeType from core.workflow.entities.variable_pool import VariablePool from core.workflow.nodes.base_node import BaseNode from core.workflow.nodes.http_request.entities import ( - MAX_CONNECT_TIMEOUT, - MAX_READ_TIMEOUT, - MAX_WRITE_TIMEOUT, HttpRequestNodeData, HttpRequestNodeTimeout, ) @@ -21,9 +19,9 @@ from core.workflow.nodes.http_request.http_executor import HttpExecutor, HttpExe from models.workflow import WorkflowNodeExecutionStatus HTTP_REQUEST_DEFAULT_TIMEOUT = HttpRequestNodeTimeout( - connect=min(10, MAX_CONNECT_TIMEOUT), - read=min(60, MAX_READ_TIMEOUT), - write=min(20, MAX_WRITE_TIMEOUT), + connect=min(10, dify_config.HTTP_REQUEST_MAX_CONNECT_TIMEOUT), + read=min(60, dify_config.HTTP_REQUEST_MAX_READ_TIMEOUT), + write=min(20, dify_config.HTTP_REQUEST_MAX_WRITE_TIMEOUT), ) @@ -43,9 +41,9 @@ class HttpRequestNode(BaseNode): 'body': {'type': 'none'}, 'timeout': { **HTTP_REQUEST_DEFAULT_TIMEOUT.model_dump(), - 'max_connect_timeout': MAX_CONNECT_TIMEOUT, - 'max_read_timeout': MAX_READ_TIMEOUT, - 'max_write_timeout': MAX_WRITE_TIMEOUT, + 'max_connect_timeout': dify_config.HTTP_REQUEST_MAX_CONNECT_TIMEOUT, + 'max_read_timeout': dify_config.HTTP_REQUEST_MAX_READ_TIMEOUT, + 'max_write_timeout': dify_config.HTTP_REQUEST_MAX_WRITE_TIMEOUT, }, }, } @@ -92,17 +90,18 @@ class HttpRequestNode(BaseNode): }, ) - def _get_request_timeout(self, node_data: HttpRequestNodeData) -> HttpRequestNodeTimeout: + @staticmethod + def _get_request_timeout(node_data: HttpRequestNodeData) -> HttpRequestNodeTimeout: timeout = node_data.timeout if timeout is None: return HTTP_REQUEST_DEFAULT_TIMEOUT - timeout.connect = timeout.connect or HTTP_REQUEST_DEFAULT_TIMEOUT.connect - timeout.connect = min(timeout.connect, MAX_CONNECT_TIMEOUT) - timeout.read = timeout.read or HTTP_REQUEST_DEFAULT_TIMEOUT.read - timeout.read = min(timeout.read, MAX_READ_TIMEOUT) - timeout.write = timeout.write or HTTP_REQUEST_DEFAULT_TIMEOUT.write - timeout.write = min(timeout.write, MAX_WRITE_TIMEOUT) + timeout.connect = min(timeout.connect or HTTP_REQUEST_DEFAULT_TIMEOUT.connect, + dify_config.HTTP_REQUEST_MAX_CONNECT_TIMEOUT) + timeout.read = min(timeout.read or HTTP_REQUEST_DEFAULT_TIMEOUT.read, + dify_config.HTTP_REQUEST_MAX_READ_TIMEOUT) + timeout.write = min(timeout.write or HTTP_REQUEST_DEFAULT_TIMEOUT.write, + dify_config.HTTP_REQUEST_MAX_WRITE_TIMEOUT) return timeout @classmethod From 54b693d5b1811239ca34144f026f8d4914d00317 Mon Sep 17 00:00:00 2001 From: Garfield Dai Date: Wed, 28 Aug 2024 18:55:47 +0800 Subject: [PATCH 110/164] feat: update saas billing hint. (#7760) --- api/controllers/console/datasets/file.py | 2 +- api/controllers/console/wraps.py | 26 +++++++++++------------- api/controllers/service_api/wraps.py | 22 ++++++++------------ 3 files changed, 22 insertions(+), 28 deletions(-) diff --git a/api/controllers/console/datasets/file.py b/api/controllers/console/datasets/file.py index d6a464545e..846aa70e86 100644 --- a/api/controllers/console/datasets/file.py +++ b/api/controllers/console/datasets/file.py @@ -39,7 +39,7 @@ class FileApi(Resource): @login_required @account_initialization_required @marshal_with(file_fields) - @cloud_edition_billing_resource_check(resource="documents") + @cloud_edition_billing_resource_check("documents") def post(self): # get file from request file = request.files["file"] diff --git a/api/controllers/console/wraps.py b/api/controllers/console/wraps.py index 5a964c84fa..7667b30e34 100644 --- a/api/controllers/console/wraps.py +++ b/api/controllers/console/wraps.py @@ -46,9 +46,7 @@ def only_edition_self_hosted(view): return decorated -def cloud_edition_billing_resource_check( - resource: str, error_msg: str = "You have reached the limit of your subscription." -): +def cloud_edition_billing_resource_check(resource: str): def interceptor(view): @wraps(view) def decorated(*args, **kwargs): @@ -60,22 +58,22 @@ def cloud_edition_billing_resource_check( documents_upload_quota = features.documents_upload_quota annotation_quota_limit = features.annotation_quota_limit if resource == "members" and 0 < members.limit <= members.size: - abort(403, error_msg) + abort(403, "The number of members has reached the limit of your subscription.") elif resource == "apps" and 0 < apps.limit <= apps.size: - abort(403, error_msg) + abort(403, "The number of apps has reached the limit of your subscription.") elif resource == "vector_space" and 0 < vector_space.limit <= vector_space.size: - abort(403, error_msg) + abort(403, "The capacity of the vector space has reached the limit of your subscription.") elif resource == "documents" and 0 < documents_upload_quota.limit <= documents_upload_quota.size: # The api of file upload is used in the multiple places, so we need to check the source of the request from datasets source = request.args.get("source") if source == "datasets": - abort(403, error_msg) + abort(403, "The number of documents has reached the limit of your subscription.") else: return view(*args, **kwargs) elif resource == "workspace_custom" and not features.can_replace_logo: - abort(403, error_msg) + abort(403, "The workspace custom feature has reached the limit of your subscription.") elif resource == "annotation" and 0 < annotation_quota_limit.limit < annotation_quota_limit.size: - abort(403, error_msg) + abort(403, "The annotation quota has reached the limit of your subscription.") else: return view(*args, **kwargs) @@ -86,10 +84,7 @@ def cloud_edition_billing_resource_check( return interceptor -def cloud_edition_billing_knowledge_limit_check( - resource: str, - error_msg: str = "To unlock this feature and elevate your Dify experience, please upgrade to a paid plan.", -): +def cloud_edition_billing_knowledge_limit_check(resource: str): def interceptor(view): @wraps(view) def decorated(*args, **kwargs): @@ -97,7 +92,10 @@ def cloud_edition_billing_knowledge_limit_check( if features.billing.enabled: if resource == "add_segment": if features.billing.subscription.plan == "sandbox": - abort(403, error_msg) + abort( + 403, + "To unlock this feature and elevate your Dify experience, please upgrade to a paid plan.", + ) else: return view(*args, **kwargs) diff --git a/api/controllers/service_api/wraps.py b/api/controllers/service_api/wraps.py index a596c6f287..b935b23ed6 100644 --- a/api/controllers/service_api/wraps.py +++ b/api/controllers/service_api/wraps.py @@ -83,9 +83,7 @@ def validate_app_token(view: Optional[Callable] = None, *, fetch_user_arg: Optio return decorator(view) -def cloud_edition_billing_resource_check( - resource: str, api_token_type: str, error_msg: str = "You have reached the limit of your subscription." -): +def cloud_edition_billing_resource_check(resource: str, api_token_type: str): def interceptor(view): def decorated(*args, **kwargs): api_token = validate_and_get_api_token(api_token_type) @@ -98,13 +96,13 @@ def cloud_edition_billing_resource_check( documents_upload_quota = features.documents_upload_quota if resource == "members" and 0 < members.limit <= members.size: - raise Forbidden(error_msg) + raise Forbidden("The number of members has reached the limit of your subscription.") elif resource == "apps" and 0 < apps.limit <= apps.size: - raise Forbidden(error_msg) + raise Forbidden("The number of apps has reached the limit of your subscription.") elif resource == "vector_space" and 0 < vector_space.limit <= vector_space.size: - raise Forbidden(error_msg) + raise Forbidden("The capacity of the vector space has reached the limit of your subscription.") elif resource == "documents" and 0 < documents_upload_quota.limit <= documents_upload_quota.size: - raise Forbidden(error_msg) + raise Forbidden("The number of documents has reached the limit of your subscription.") else: return view(*args, **kwargs) @@ -115,11 +113,7 @@ def cloud_edition_billing_resource_check( return interceptor -def cloud_edition_billing_knowledge_limit_check( - resource: str, - api_token_type: str, - error_msg: str = "To unlock this feature and elevate your Dify experience, please upgrade to a paid plan.", -): +def cloud_edition_billing_knowledge_limit_check(resource: str, api_token_type: str): def interceptor(view): @wraps(view) def decorated(*args, **kwargs): @@ -128,7 +122,9 @@ def cloud_edition_billing_knowledge_limit_check( if features.billing.enabled: if resource == "add_segment": if features.billing.subscription.plan == "sandbox": - raise Forbidden(error_msg) + raise Forbidden( + "To unlock this feature and elevate your Dify experience, please upgrade to a paid plan." + ) else: return view(*args, **kwargs) From 0e0a70349668a9c40b6835a1a5a016a4fdec423a Mon Sep 17 00:00:00 2001 From: takatost Date: Wed, 28 Aug 2024 23:26:11 +0800 Subject: [PATCH 111/164] chore: ignore openai error record in sentry (#7770) --- api/extensions/ext_sentry.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/api/extensions/ext_sentry.py b/api/extensions/ext_sentry.py index 227c6635f0..3b7b0a37f4 100644 --- a/api/extensions/ext_sentry.py +++ b/api/extensions/ext_sentry.py @@ -1,3 +1,4 @@ +import openai import sentry_sdk from sentry_sdk.integrations.celery import CeleryIntegration from sentry_sdk.integrations.flask import FlaskIntegration @@ -9,7 +10,7 @@ def init_app(app): sentry_sdk.init( dsn=app.config.get("SENTRY_DSN"), integrations=[FlaskIntegration(), CeleryIntegration()], - ignore_errors=[HTTPException, ValueError], + ignore_errors=[HTTPException, ValueError, openai.APIStatusError], traces_sample_rate=app.config.get("SENTRY_TRACES_SAMPLE_RATE", 1.0), profiles_sample_rate=app.config.get("SENTRY_PROFILES_SAMPLE_RATE", 1.0), environment=app.config.get("DEPLOY_ENV"), From ec1408346eb121f72bfcba9e0f4018efcd31b849 Mon Sep 17 00:00:00 2001 From: kanoshiou <73424326+kanoshiou@users.noreply.github.com> Date: Thu, 29 Aug 2024 11:18:49 +0800 Subject: [PATCH 112/164] docs: navigate to open issues in contributing documents (#7781) --- CONTRIBUTING.md | 2 +- CONTRIBUTING_CN.md | 2 +- CONTRIBUTING_JA.md | 2 +- CONTRIBUTING_VI.md | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index f810584f24..8f57cd545e 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -8,7 +8,7 @@ In terms of licensing, please take a minute to read our short [License and Contr ## Before you jump in -[Find](https://github.com/langgenius/dify/issues?q=is:issue+is:closed) an existing issue, or [open](https://github.com/langgenius/dify/issues/new/choose) a new one. We categorize issues into 2 types: +[Find](https://github.com/langgenius/dify/issues?q=is:issue+is:open) an existing issue, or [open](https://github.com/langgenius/dify/issues/new/choose) a new one. We categorize issues into 2 types: ### Feature requests: diff --git a/CONTRIBUTING_CN.md b/CONTRIBUTING_CN.md index 303c2513f5..7cd2bb60eb 100644 --- a/CONTRIBUTING_CN.md +++ b/CONTRIBUTING_CN.md @@ -8,7 +8,7 @@ ## 在开始之前 -[查找](https://github.com/langgenius/dify/issues?q=is:issue+is:closed)现有问题，或 [创建](https://github.com/langgenius/dify/issues/new/choose) 一个新问题。我们将问题分为两类： +[查找](https://github.com/langgenius/dify/issues?q=is:issue+is:open)现有问题，或 [创建](https://github.com/langgenius/dify/issues/new/choose) 一个新问题。我们将问题分为两类： ### 功能请求： diff --git a/CONTRIBUTING_JA.md b/CONTRIBUTING_JA.md index 6d5bfb205c..a68bdeddbc 100644 --- a/CONTRIBUTING_JA.md +++ b/CONTRIBUTING_JA.md @@ -10,7 +10,7 @@ Dify にコントリビュートしたいとお考えなのですね。それは ## 飛び込む前に -[既存の Issue](https://github.com/langgenius/dify/issues?q=is:issue+is:closed) を探すか、[新しい Issue](https://github.com/langgenius/dify/issues/new/choose) を作成してください。私たちは Issue を 2 つのタイプに分類しています。 +[既存の Issue](https://github.com/langgenius/dify/issues?q=is:issue+is:open) を探すか、[新しい Issue](https://github.com/langgenius/dify/issues/new/choose) を作成してください。私たちは Issue を 2 つのタイプに分類しています。 ### 機能リクエスト diff --git a/CONTRIBUTING_VI.md b/CONTRIBUTING_VI.md index 2521256d24..80e68a046e 100644 --- a/CONTRIBUTING_VI.md +++ b/CONTRIBUTING_VI.md @@ -8,7 +8,7 @@ Về vấn đề cấp phép, xin vui lòng dành chút thời gian đọc qua [ ## Trước khi bắt đầu -[Tìm kiếm](https://github.com/langgenius/dify/issues?q=is:issue+is:closed) một vấn đề hiện có, hoặc [tạo mới](https://github.com/langgenius/dify/issues/new/choose) một vấn đề. Chúng tôi phân loại các vấn đề thành 2 loại: +[Tìm kiếm](https://github.com/langgenius/dify/issues?q=is:issue+is:open) một vấn đề hiện có, hoặc [tạo mới](https://github.com/langgenius/dify/issues/new/choose) một vấn đề. Chúng tôi phân loại các vấn đề thành 2 loại: ### Yêu cầu tính năng: From 62f48015234ade1a6c9aa7e1befdfb4d90427ba2 Mon Sep 17 00:00:00 2001 From: Huang YunKun Date: Thu, 29 Aug 2024 11:22:39 +0800 Subject: [PATCH 113/164] Update ssrf_proxy related doc link in docker-compose file (#7778) --- docker/docker-compose.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index c1ed2ce5f8..a319d6b45a 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -294,7 +294,7 @@ services: # ssrf_proxy server # for more information, please refer to - # https://docs.dify.ai/learn-more/faq/self-host-faq#id-18.-why-is-ssrf_proxy-needed + # https://docs.dify.ai/learn-more/faq/install-faq#id-18.-why-is-ssrf_proxy-needed ssrf_proxy: image: ubuntu/squid:latest restart: always From ad30668eb62c1c023d3426f38f01ee3ceb637b11 Mon Sep 17 00:00:00 2001 From: NFish Date: Thu, 29 Aug 2024 11:23:16 +0800 Subject: [PATCH 114/164] Sync Input component from feat/attachments branch (#7782) --- web/app/components/base/input/index.tsx | 104 ++++++++++++------ .../empty-dataset-creation-modal/index.tsx | 2 +- .../documents/detail/completed/index.tsx | 2 +- .../documents/detail/metadata/index.tsx | 2 +- .../components/datasets/documents/index.tsx | 4 +- .../key-value/key-value-edit/item.tsx | 2 +- 6 files changed, 78 insertions(+), 38 deletions(-) diff --git a/web/app/components/base/input/index.tsx b/web/app/components/base/input/index.tsx index 5ab8249446..cac5efd879 100644 --- a/web/app/components/base/input/index.tsx +++ b/web/app/components/base/input/index.tsx @@ -1,43 +1,83 @@ -'use client' -import type { SVGProps } from 'react' -import React, { useState } from 'react' +import type { CSSProperties } from 'react' +import React from 'react' import { useTranslation } from 'react-i18next' -import cn from 'classnames' +import { RiCloseCircleFill, RiErrorWarningLine, RiSearchLine } from '@remixicon/react' +import { type VariantProps, cva } from 'class-variance-authority' +import cn from '@/utils/classnames' -type InputProps = { - placeholder?: string - value?: string - defaultValue?: string - onChange?: (v: string) => void - className?: string - wrapperClassName?: string - type?: string - showPrefix?: React.ReactNode - prefixIcon?: React.ReactNode -} - -const GlassIcon = ({ className }: SVGProps) => ( - - - +export const inputVariants = cva( + '', + { + variants: { + size: { + regular: 'px-3 radius-md system-sm-regular', + large: 'px-4 radius-lg system-md-regular', + }, + }, + defaultVariants: { + size: 'regular', + }, + }, ) -const Input = ({ value, defaultValue, onChange, className = '', wrapperClassName = '', placeholder, type, showPrefix, prefixIcon }: InputProps) => { - const [localValue, setLocalValue] = useState(value ?? defaultValue) +export type InputProps = { + showLeftIcon?: boolean + showClearIcon?: boolean + onClear?: () => void + disabled?: boolean + destructive?: boolean + wrapperClassName?: string + styleCss?: CSSProperties +} & React.InputHTMLAttributes & VariantProps + +const Input = ({ + size, + disabled, + destructive, + showLeftIcon, + showClearIcon, + onClear, + wrapperClassName, + className, + styleCss, + value, + placeholder, + onChange, + ...props +}: InputProps) => { const { t } = useTranslation() return ( -
- {showPrefix && {prefixIcon ?? }} +
+ {showLeftIcon && } { - setLocalValue(e.target.value) - onChange && onChange(e.target.value) - }} + style={styleCss} + className={cn( + 'w-full py-[7px] bg-components-input-bg-normal border border-transparent text-components-input-text-filled hover:bg-components-input-bg-hover hover:border-components-input-border-hover focus:bg-components-input-bg-active focus:border-components-input-border-active focus:shadow-xs placeholder:text-components-input-text-placeholder appearance-none outline-none caret-primary-600', + inputVariants({ size }), + showLeftIcon && 'pl-[26px]', + showLeftIcon && size === 'large' && 'pl-7', + showClearIcon && value && 'pr-[26px]', + showClearIcon && value && size === 'large' && 'pr-7', + destructive && 'pr-[26px]', + destructive && size === 'large' && 'pr-7', + disabled && 'bg-components-input-bg-disabled border-transparent text-components-input-text-filled-disabled cursor-not-allowed hover:bg-components-input-bg-disabled hover:border-transparent', + destructive && 'bg-components-input-bg-destructive border-components-input-border-destructive text-components-input-text-filled hover:bg-components-input-bg-destructive hover:border-components-input-border-destructive focus:bg-components-input-bg-destructive focus:border-components-input-border-destructive', + className, + )} + placeholder={placeholder ?? (showLeftIcon ? t('common.operation.search') ?? '' : 'please input')} + value={value} + onChange={onChange} + disabled={disabled} + {...props} /> + {showClearIcon && value && !disabled && !destructive && ( +
+ +
+ )} + {destructive && ( + + )}
) } diff --git a/web/app/components/datasets/create/empty-dataset-creation-modal/index.tsx b/web/app/components/datasets/create/empty-dataset-creation-modal/index.tsx index e9247c49df..c490d50b88 100644 --- a/web/app/components/datasets/create/empty-dataset-creation-modal/index.tsx +++ b/web/app/components/datasets/create/empty-dataset-creation-modal/index.tsx @@ -58,7 +58,7 @@ const EmptyDatasetCreationModal = ({
{t('datasetCreation.stepOne.modal.tip')}
{t('datasetCreation.stepOne.modal.input')}
- + setInputValue(e.target.value)} />
diff --git a/web/app/components/datasets/documents/detail/completed/index.tsx b/web/app/components/datasets/documents/detail/completed/index.tsx index f2addac2e2..195b75b0a2 100644 --- a/web/app/components/datasets/documents/detail/completed/index.tsx +++ b/web/app/components/datasets/documents/detail/completed/index.tsx @@ -391,7 +391,7 @@ const Completed: FC = ({ defaultValue={'all'} className={s.select} wrapperClassName='h-fit w-[120px] mr-2' /> - + setSearchValue(e.target.value), 500)} />
= ({ /> : onUpdate?.(e.target.value)} value={value} defaultValue={defaultValue} placeholder={`${t('datasetDocuments.metadata.placeholder.add')}${label}`} diff --git a/web/app/components/datasets/documents/index.tsx b/web/app/components/datasets/documents/index.tsx index ce81e44792..32c045eccd 100644 --- a/web/app/components/datasets/documents/index.tsx +++ b/web/app/components/datasets/documents/index.tsx @@ -201,10 +201,10 @@ const Documents: FC = ({ datasetId }) => {
setSearchValue(e.target.value), 500)} value={searchValue} />
diff --git a/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/item.tsx b/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/item.tsx index 93c2696b98..0f28db96c3 100644 --- a/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/item.tsx +++ b/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/item.tsx @@ -73,7 +73,7 @@ const KeyValueItem: FC = ({ handleChange('key')(e.target.value)} /> )}
From c441bea4d14312fc1c535e63e67cbbfb3ea0c368 Mon Sep 17 00:00:00 2001 From: crazywoola <100913391+crazywoola@users.noreply.github.com> Date: Thu, 29 Aug 2024 12:46:33 +0800 Subject: [PATCH 115/164] fix: datasets permission is missing (#7787) --- api/controllers/console/datasets/datasets.py | 1 + 1 file changed, 1 insertion(+) diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py index d369730594..44c1390c14 100644 --- a/api/controllers/console/datasets/datasets.py +++ b/api/controllers/console/datasets/datasets.py @@ -122,6 +122,7 @@ class DatasetListApi(Resource): name=args["name"], indexing_technique=args["indexing_technique"], account=current_user, + permission=DatasetPermissionEnum.ONLY_ME, ) except services.errors.dataset.DatasetNameDuplicateError: raise DatasetNameDuplicateError() From 8e311cc45cfeabf2fc88527619fef1c8337be94a Mon Sep 17 00:00:00 2001 From: Jyong <76649700+JohnJyong@users.noreply.github.com> Date: Thu, 29 Aug 2024 12:46:42 +0800 Subject: [PATCH 116/164] fixed permission is None (#7788) --- api/services/dataset_service.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py index ce5fa632dc..d10df3f600 100644 --- a/api/services/dataset_service.py +++ b/api/services/dataset_service.py @@ -137,7 +137,7 @@ class DatasetService: @staticmethod def create_empty_dataset( - tenant_id: str, name: str, indexing_technique: Optional[str], account: Account, permission: Optional[str] + tenant_id: str, name: str, indexing_technique: Optional[str], account: Account, permission: Optional[str] = None ): # check if dataset name already exists if Dataset.query.filter_by(name=name, tenant_id=tenant_id).first(): From 2c51e3a3275092603ba5f9548e4aea7f5e99ebf7 Mon Sep 17 00:00:00 2001 From: NFish Date: Thu, 29 Aug 2024 15:57:43 +0800 Subject: [PATCH 117/164] fix: webapp sso setting may not the latest value when refresh (#7795) --- .../app/(appDetailLayout)/[appId]/layout.tsx | 2 +- .../app/(appDetailLayout)/[appId]/overview/cardView.tsx | 2 +- web/app/components/app/overview/appCard.tsx | 9 ++++----- 3 files changed, 6 insertions(+), 7 deletions(-) diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx index 84ec157323..8723420d84 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx @@ -128,7 +128,7 @@ const AppDetailLayout: FC = (props) => { if (e.status === 404) router.replace('/apps') }) - }, [appId, isCurrentWorkspaceEditor]) + }, [appId, isCurrentWorkspaceEditor, systemFeatures]) useUnmount(() => { setAppDetail() diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/cardView.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/cardView.tsx index 3584e13733..8f3ee510b8 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/cardView.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/cardView.tsx @@ -95,7 +95,7 @@ const CardView: FC = ({ appId }) => { if (systemFeatures.enable_web_sso_switch_component) { const [sso_err] = await asyncRunSafe( - updateAppSSO({ id: appId, enabled: params.enable_sso }) as Promise, + updateAppSSO({ id: appId, enabled: Boolean(params.enable_sso) }) as Promise, ) if (sso_err) { handleCallbackResult(sso_err) diff --git a/web/app/components/app/overview/appCard.tsx b/web/app/components/app/overview/appCard.tsx index 0d0b95c0a0..f9f5c1fbff 100644 --- a/web/app/components/app/overview/appCard.tsx +++ b/web/app/components/app/overview/appCard.tsx @@ -134,8 +134,8 @@ function AppCard({ return (
@@ -176,7 +176,6 @@ function AppCard({ {isApp && } {/* button copy link/ button regenerate */} @@ -202,8 +201,8 @@ function AppCard({ onClick={() => setShowConfirmDelete(true)} >
From 962cdbbebd9e0614ea05593aed785faa063d7cf4 Mon Sep 17 00:00:00 2001 From: Yeuoly <45712896+Yeuoly@users.noreply.github.com> Date: Thu, 29 Aug 2024 16:04:01 +0800 Subject: [PATCH 118/164] chore: add app generator overload (#7792) --- .../app/apps/advanced_chat/app_generator.py | 22 ++++++++++++++++- api/core/app/apps/agent_chat/app_generator.py | 20 +++++++++++++++- api/core/app/apps/chat/app_generator.py | 22 +++++++++++++++-- api/core/app/apps/completion/app_generator.py | 24 ++++++++++++++++--- api/core/app/apps/workflow/app_generator.py | 24 +++++++++++++++++-- 5 files changed, 103 insertions(+), 9 deletions(-) diff --git a/api/core/app/apps/advanced_chat/app_generator.py b/api/core/app/apps/advanced_chat/app_generator.py index 5a1e5973cd..e7c9ebe097 100644 --- a/api/core/app/apps/advanced_chat/app_generator.py +++ b/api/core/app/apps/advanced_chat/app_generator.py @@ -4,7 +4,7 @@ import os import threading import uuid from collections.abc import Generator -from typing import Union +from typing import Literal, Union, overload from flask import Flask, current_app from pydantic import ValidationError @@ -39,6 +39,26 @@ logger = logging.getLogger(__name__) class AdvancedChatAppGenerator(MessageBasedAppGenerator): + @overload + def generate( + self, app_model: App, + workflow: Workflow, + user: Union[Account, EndUser], + args: dict, + invoke_from: InvokeFrom, + stream: Literal[True] = True, + ) -> Generator[str, None, None]: ... + + @overload + def generate( + self, app_model: App, + workflow: Workflow, + user: Union[Account, EndUser], + args: dict, + invoke_from: InvokeFrom, + stream: Literal[False] = False, + ) -> dict: ... + def generate( self, app_model: App, workflow: Workflow, diff --git a/api/core/app/apps/agent_chat/app_generator.py b/api/core/app/apps/agent_chat/app_generator.py index 53780bdfb0..daf37f4a50 100644 --- a/api/core/app/apps/agent_chat/app_generator.py +++ b/api/core/app/apps/agent_chat/app_generator.py @@ -3,7 +3,7 @@ import os import threading import uuid from collections.abc import Generator -from typing import Any, Union +from typing import Any, Literal, Union, overload from flask import Flask, current_app from pydantic import ValidationError @@ -28,6 +28,24 @@ logger = logging.getLogger(__name__) class AgentChatAppGenerator(MessageBasedAppGenerator): + @overload + def generate( + self, app_model: App, + user: Union[Account, EndUser], + args: dict, + invoke_from: InvokeFrom, + stream: Literal[True] = True, + ) -> Generator[dict, None, None]: ... + + @overload + def generate( + self, app_model: App, + user: Union[Account, EndUser], + args: dict, + invoke_from: InvokeFrom, + stream: Literal[False] = False, + ) -> dict: ... + def generate(self, app_model: App, user: Union[Account, EndUser], args: Any, diff --git a/api/core/app/apps/chat/app_generator.py b/api/core/app/apps/chat/app_generator.py index 5b896e2845..ab15928b74 100644 --- a/api/core/app/apps/chat/app_generator.py +++ b/api/core/app/apps/chat/app_generator.py @@ -3,7 +3,7 @@ import os import threading import uuid from collections.abc import Generator -from typing import Any, Union +from typing import Any, Literal, Union, overload from flask import Flask, current_app from pydantic import ValidationError @@ -28,13 +28,31 @@ logger = logging.getLogger(__name__) class ChatAppGenerator(MessageBasedAppGenerator): + @overload + def generate( + self, app_model: App, + user: Union[Account, EndUser], + args: Any, + invoke_from: InvokeFrom, + stream: Literal[True] = True, + ) -> Generator[str, None, None]: ... + + @overload + def generate( + self, app_model: App, + user: Union[Account, EndUser], + args: Any, + invoke_from: InvokeFrom, + stream: Literal[False] = False, + ) -> dict: ... + def generate( self, app_model: App, user: Union[Account, EndUser], args: Any, invoke_from: InvokeFrom, stream: bool = True, - ) -> Union[dict, Generator[dict, None, None]]: + ) -> Union[dict, Generator[str, None, None]]: """ Generate App response. diff --git a/api/core/app/apps/completion/app_generator.py b/api/core/app/apps/completion/app_generator.py index c4e1caf65a..c0b13b40fd 100644 --- a/api/core/app/apps/completion/app_generator.py +++ b/api/core/app/apps/completion/app_generator.py @@ -3,7 +3,7 @@ import os import threading import uuid from collections.abc import Generator -from typing import Any, Union +from typing import Any, Literal, Union, overload from flask import Flask, current_app from pydantic import ValidationError @@ -30,12 +30,30 @@ logger = logging.getLogger(__name__) class CompletionAppGenerator(MessageBasedAppGenerator): + @overload + def generate( + self, app_model: App, + user: Union[Account, EndUser], + args: dict, + invoke_from: InvokeFrom, + stream: Literal[True] = True, + ) -> Generator[str, None, None]: ... + + @overload + def generate( + self, app_model: App, + user: Union[Account, EndUser], + args: dict, + invoke_from: InvokeFrom, + stream: Literal[False] = False, + ) -> dict: ... + def generate(self, app_model: App, user: Union[Account, EndUser], args: Any, invoke_from: InvokeFrom, stream: bool = True) \ - -> Union[dict, Generator[dict, None, None]]: + -> Union[dict, Generator[str, None, None]]: """ Generate App response. @@ -203,7 +221,7 @@ class CompletionAppGenerator(MessageBasedAppGenerator): user: Union[Account, EndUser], invoke_from: InvokeFrom, stream: bool = True) \ - -> Union[dict, Generator[dict, None, None]]: + -> Union[dict, Generator[str, None, None]]: """ Generate App response. diff --git a/api/core/app/apps/workflow/app_generator.py b/api/core/app/apps/workflow/app_generator.py index df40aec154..26bb6c0f4f 100644 --- a/api/core/app/apps/workflow/app_generator.py +++ b/api/core/app/apps/workflow/app_generator.py @@ -4,7 +4,7 @@ import os import threading import uuid from collections.abc import Generator -from typing import Union +from typing import Literal, Union, overload from flask import Flask, current_app from pydantic import ValidationError @@ -32,6 +32,26 @@ logger = logging.getLogger(__name__) class WorkflowAppGenerator(BaseAppGenerator): + @overload + def generate( + self, app_model: App, + workflow: Workflow, + user: Union[Account, EndUser], + args: dict, + invoke_from: InvokeFrom, + stream: Literal[True] = True, + ) -> Generator[str, None, None]: ... + + @overload + def generate( + self, app_model: App, + workflow: Workflow, + user: Union[Account, EndUser], + args: dict, + invoke_from: InvokeFrom, + stream: Literal[False] = False, + ) -> dict: ... + def generate( self, app_model: App, workflow: Workflow, @@ -107,7 +127,7 @@ class WorkflowAppGenerator(BaseAppGenerator): application_generate_entity: WorkflowAppGenerateEntity, invoke_from: InvokeFrom, stream: bool = True, - ) -> Union[dict, Generator[dict, None, None]]: + ) -> Union[dict, Generator[str, None, None]]: """ Generate App response. From f0273f00e18d023fd6270307f9eb5c1030567e1b Mon Sep 17 00:00:00 2001 From: hisir Date: Thu, 29 Aug 2024 18:58:19 +0800 Subject: [PATCH 119/164] Fixed when testing the openai compatible interface model, an error is reported when no object is returned (#7808) --- .../model_providers/openai_api_compatible/llm/llm.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py index 2b729d4293..6279125f46 100644 --- a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py +++ b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py @@ -150,9 +150,9 @@ class OAIAPICompatLargeLanguageModel(_CommonOAI_API_Compat, LargeLanguageModel): except json.JSONDecodeError as e: raise CredentialsValidateFailedError('Credentials validation failed: JSON decode error') - if (completion_type is LLMMode.CHAT and json_result['object'] == ''): + if (completion_type is LLMMode.CHAT and json_result.get('object','') == ''): json_result['object'] = 'chat.completion' - elif (completion_type is LLMMode.COMPLETION and json_result['object'] == ''): + elif (completion_type is LLMMode.COMPLETION and json_result.get('object','') == ''): json_result['object'] = 'text_completion' if (completion_type is LLMMode.CHAT From bd6d4d0553696f711e2f4ab101b952a34c3ca33c Mon Sep 17 00:00:00 2001 From: YidaHu Date: Thu, 29 Aug 2024 19:03:08 +0800 Subject: [PATCH 120/164] fix: filter out installed apps without an app (#7799) --- api/controllers/console/explore/installed_app.py | 1 + 1 file changed, 1 insertion(+) diff --git a/api/controllers/console/explore/installed_app.py b/api/controllers/console/explore/installed_app.py index b71078760c..3f1e64a247 100644 --- a/api/controllers/console/explore/installed_app.py +++ b/api/controllers/console/explore/installed_app.py @@ -35,6 +35,7 @@ class InstalledAppsListApi(Resource): "uninstallable": current_tenant_id == installed_app.app_owner_tenant_id, } for installed_app in installed_apps + if installed_app.app is not None ] installed_apps.sort( key=lambda app: ( From c9e0f0bf20a587e640284a02070b95a1611f37a9 Mon Sep 17 00:00:00 2001 From: Benjamin Date: Fri, 30 Aug 2024 00:03:40 +0800 Subject: [PATCH 121/164] fix: correct typo in environment variable description (#7817) --- web/i18n/zh-Hans/workflow.ts | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/web/i18n/zh-Hans/workflow.ts b/web/i18n/zh-Hans/workflow.ts index f57eb40bb0..56d1de6ceb 100644 --- a/web/i18n/zh-Hans/workflow.ts +++ b/web/i18n/zh-Hans/workflow.ts @@ -80,7 +80,7 @@ const translation = { }, env: { envPanelTitle: '环境变量', - envDescription: '环境变量是一种存储敏感信息的方法，如 API 密钥、数据库密码等。它们被存储在工作流程中，而不是代码中，以便在不同环墋中共享。', + envDescription: '环境变量是一种存储敏感信息的方法，如 API 密钥、数据库密码等。它们被存储在工作流程中，而不是代码中，以便在不同环境中共享。', envPanelButton: '添加环境变量', modal: { title: '添加环境变量', From dc015c380a94543da572222685bcfbf1af766eee Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=9D=9E=E6=B3=95=E6=93=8D=E4=BD=9C?= Date: Fri, 30 Aug 2024 15:08:31 +0800 Subject: [PATCH 122/164] feat: add zhipu glm_4_plus and glm_4v_plus model (#7824) --- .../zhipuai/llm/glm_4_plus.yaml | 39 +++++++++++++++++++ .../zhipuai/llm/glm_4v_plus.yaml | 37 ++++++++++++++++++ .../model_providers/zhipuai/llm/llm.py | 9 +++-- 3 files changed, 81 insertions(+), 4 deletions(-) create mode 100644 api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml create mode 100644 api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml new file mode 100644 index 0000000000..d9132640b2 --- /dev/null +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml @@ -0,0 +1,39 @@ +model: glm-4-plus +label: + en_US: glm-4-plus +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat +parameter_rules: + - name: temperature + use_template: temperature + default: 0.95 + min: 0.0 + max: 1.0 + help: + zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: top_p + use_template: top_p + default: 0.7 + help: + zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: incremental + label: + zh_Hans: 增量返回 + en_US: Incremental + type: boolean + help: + zh_Hans: SSE接口调用时，用于控制每次返回内容方式是增量还是全量，不提供此参数时默认为增量返回，true 为增量返回，false 为全量返回。 + en_US: When the SSE interface is called, it is used to control whether the content is returned incrementally or in full. If this parameter is not provided, the default is incremental return. true means incremental return, false means full return. + required: false + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 8192 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml new file mode 100644 index 0000000000..4a45c65f64 --- /dev/null +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml @@ -0,0 +1,37 @@ +model: glm-4v-plus +label: + en_US: glm-4v-plus +model_type: llm +model_properties: + mode: chat +features: + - vision +parameter_rules: + - name: temperature + use_template: temperature + default: 0.95 + min: 0.0 + max: 1.0 + help: + zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: top_p + use_template: top_p + default: 0.7 + help: + zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: incremental + label: + zh_Hans: 增量返回 + en_US: Incremental + type: boolean + help: + zh_Hans: SSE接口调用时，用于控制每次返回内容方式是增量还是全量，不提供此参数时默认为增量返回，true 为增量返回，false 为全量返回。 + en_US: When the SSE interface is called, it is used to control whether the content is returned incrementally or in full. If this parameter is not provided, the default is incremental return. true means incremental return, false means full return. + required: false + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 8192 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/llm.py b/api/core/model_runtime/model_providers/zhipuai/llm/llm.py index 13d8f5e5c3..b2cdc7ad7a 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/llm.py +++ b/api/core/model_runtime/model_providers/zhipuai/llm/llm.py @@ -153,7 +153,8 @@ class ZhipuAILargeLanguageModel(_CommonZhipuaiAI, LargeLanguageModel): :return: full response or stream response chunk generator result """ extra_model_kwargs = {} - if stop: + # request to glm-4v-plus with stop words will always response "finish_reason":"network_error" + if stop and model!= 'glm-4v-plus': extra_model_kwargs['stop'] = stop client = ZhipuAI( @@ -174,7 +175,7 @@ class ZhipuAILargeLanguageModel(_CommonZhipuaiAI, LargeLanguageModel): if copy_prompt_message.role in [PromptMessageRole.USER, PromptMessageRole.SYSTEM, PromptMessageRole.TOOL]: if isinstance(copy_prompt_message.content, list): # check if model is 'glm-4v' - if model != 'glm-4v': + if model not in ('glm-4v', 'glm-4v-plus'): # not support list message continue # get image and @@ -207,7 +208,7 @@ class ZhipuAILargeLanguageModel(_CommonZhipuaiAI, LargeLanguageModel): else: new_prompt_messages.append(copy_prompt_message) - if model == 'glm-4v': + if model == 'glm-4v' or model == 'glm-4v-plus': params = self._construct_glm_4v_parameter(model, new_prompt_messages, model_parameters) else: params = { @@ -304,7 +305,7 @@ class ZhipuAILargeLanguageModel(_CommonZhipuaiAI, LargeLanguageModel): return params - def _construct_glm_4v_messages(self, prompt_message: Union[str | list[PromptMessageContent]]) -> list[dict]: + def _construct_glm_4v_messages(self, prompt_message: Union[str, list[PromptMessageContent]]) -> list[dict]: if isinstance(prompt_message, str): return [{'type': 'text', 'text': prompt_message}] From ceb2b150fff62fa515ec26e1aeffce0095d5c7be Mon Sep 17 00:00:00 2001 From: Zhi Date: Fri, 30 Aug 2024 15:53:50 +0800 Subject: [PATCH 123/164] enhance: include workspace name in create-tenant command (#7834) --- api/commands.py | 7 +++++-- api/services/account_service.py | 7 +++++-- 2 files changed, 10 insertions(+), 4 deletions(-) diff --git a/api/commands.py b/api/commands.py index 41f1a6444c..3bf8bc0ecc 100644 --- a/api/commands.py +++ b/api/commands.py @@ -559,8 +559,9 @@ def add_qdrant_doc_id_index(field: str): @click.command("create-tenant", help="Create account and tenant.") @click.option("--email", prompt=True, help="The email address of the tenant account.") +@click.option("--name", prompt=True, help="The workspace name of the tenant account.") @click.option("--language", prompt=True, help="Account language, default: en-US.") -def create_tenant(email: str, language: Optional[str] = None): +def create_tenant(email: str, language: Optional[str] = None, name: Optional[str] = None): """ Create tenant account """ @@ -580,13 +581,15 @@ def create_tenant(email: str, language: Optional[str] = None): if language not in languages: language = "en-US" + name = name.strip() + # generate random password new_password = secrets.token_urlsafe(16) # register account account = RegisterService.register(email=email, name=account_name, password=new_password, language=language) - TenantService.create_owner_tenant_if_not_exist(account) + TenantService.create_owner_tenant_if_not_exist(account, name) click.echo( click.style( diff --git a/api/services/account_service.py b/api/services/account_service.py index cd501c9792..e1b70fc9ed 100644 --- a/api/services/account_service.py +++ b/api/services/account_service.py @@ -265,7 +265,7 @@ class TenantService: return tenant @staticmethod - def create_owner_tenant_if_not_exist(account: Account): + def create_owner_tenant_if_not_exist(account: Account, name: Optional[str] = None): """Create owner tenant if not exist""" available_ta = ( TenantAccountJoin.query.filter_by(account_id=account.id).order_by(TenantAccountJoin.id.asc()).first() @@ -274,7 +274,10 @@ class TenantService: if available_ta: return - tenant = TenantService.create_tenant(f"{account.name}'s Workspace") + if name: + tenant = TenantService.create_tenant(name) + else: + tenant = TenantService.create_tenant(f"{account.name}'s Workspace") TenantService.create_tenant_member(tenant, account, role="owner") account.current_tenant = tenant db.session.commit() From 62bfc4dba6e5e99ddf162b659b4cf07054c16559 Mon Sep 17 00:00:00 2001 From: Yi Xiao <54782454+YIXIAO0@users.noreply.github.com> Date: Fri, 30 Aug 2024 18:13:54 +0800 Subject: [PATCH 124/164] fix: tooltip size sets improperly (#7836) --- .../common/retrieval-param-config/index.tsx | 2 +- .../system-model-selector/index.tsx | 13 +++++-------- .../config-credentials.tsx | 2 +- 3 files changed, 7 insertions(+), 10 deletions(-) diff --git a/web/app/components/datasets/common/retrieval-param-config/index.tsx b/web/app/components/datasets/common/retrieval-param-config/index.tsx index 54a0963f59..323e47f3b4 100644 --- a/web/app/components/datasets/common/retrieval-param-config/index.tsx +++ b/web/app/components/datasets/common/retrieval-param-config/index.tsx @@ -191,7 +191,7 @@ const RetrievalParamConfig: FC = ({
{option.label}
{option.tips}
} - triggerClassName='ml-0.5 w-3.5 h-4.5' + triggerClassName='ml-0.5 w-3.5 h-3.5' />
)) diff --git a/web/app/components/header/account-setting/model-provider-page/system-model-selector/index.tsx b/web/app/components/header/account-setting/model-provider-page/system-model-selector/index.tsx index 6e181425e2..1574785898 100644 --- a/web/app/components/header/account-setting/model-provider-page/system-model-selector/index.tsx +++ b/web/app/components/header/account-setting/model-provider-page/system-model-selector/index.tsx @@ -148,7 +148,7 @@ const SystemModel: FC = ({ {t('common.modelProvider.systemReasoningModel.tip')}
} - triggerClassName='ml-0.5' + triggerClassName='ml-0.5 w-4 h-4 shrink-0' />
@@ -168,8 +168,7 @@ const SystemModel: FC = ({ {t('common.modelProvider.embeddingModel.tip')}
} - needsDelay={false} - triggerClassName='ml-0.5' + triggerClassName='ml-0.5 w-4 h-4 shrink-0' />
@@ -189,8 +188,7 @@ const SystemModel: FC = ({ {t('common.modelProvider.rerankModel.tip')}
} - needsDelay={false} - triggerClassName='ml-0.5' + triggerClassName='ml-0.5 w-4 h-4 shrink-0' />
@@ -210,8 +208,7 @@ const SystemModel: FC = ({ {t('common.modelProvider.speechToTextModel.tip')}
} - needsDelay={false} - triggerClassName='ml-0.5' + triggerClassName='ml-0.5 w-4 h-4 shrink-0' />
@@ -231,7 +228,7 @@ const SystemModel: FC = ({ {t('common.modelProvider.ttsModel.tip')}
} - triggerClassName='ml-0.5' + triggerClassName='ml-0.5 w-4 h-4 shrink-0' />
diff --git a/web/app/components/tools/edit-custom-collection-modal/config-credentials.tsx b/web/app/components/tools/edit-custom-collection-modal/config-credentials.tsx index c7685d496d..d580c00102 100644 --- a/web/app/components/tools/edit-custom-collection-modal/config-credentials.tsx +++ b/web/app/components/tools/edit-custom-collection-modal/config-credentials.tsx @@ -114,7 +114,7 @@ const ConfigCredential: FC = ({ {t('tools.createTool.authMethod.keyTooltip')}
} - triggerClassName='ml-0.5' + triggerClassName='ml-0.5 w-4 h-4' /> Date: Fri, 30 Aug 2024 18:48:05 +0800 Subject: [PATCH 125/164] fix: an issue of keyword search feature in application log list (#7816) --- api/controllers/console/app/conversation.py | 27 +++++++++------------ 1 file changed, 12 insertions(+), 15 deletions(-) diff --git a/api/controllers/console/app/conversation.py b/api/controllers/console/app/conversation.py index 753a6be20c..c3aac6690e 100644 --- a/api/controllers/console/app/conversation.py +++ b/api/controllers/console/app/conversation.py @@ -173,21 +173,18 @@ class ChatConversationApi(Resource): if args["keyword"]: keyword_filter = "%{}%".format(args["keyword"]) - query = ( - query.join( - Message, - Message.conversation_id == Conversation.id, - ) - .join(subquery, subquery.c.conversation_id == Conversation.id) - .filter( - or_( - Message.query.ilike(keyword_filter), - Message.answer.ilike(keyword_filter), - Conversation.name.ilike(keyword_filter), - Conversation.introduction.ilike(keyword_filter), - subquery.c.from_end_user_session_id.ilike(keyword_filter), - ), - ) + message_subquery = ( + db.session.query(Message.conversation_id) + .filter(or_(Message.query.ilike(keyword_filter), Message.answer.ilike(keyword_filter))) + .subquery() + ) + query = query.join(subquery, subquery.c.conversation_id == Conversation.id).filter( + or_( + Conversation.id.in_(message_subquery), + Conversation.name.ilike(keyword_filter), + Conversation.introduction.ilike(keyword_filter), + subquery.c.from_end_user_session_id.ilike(keyword_filter), + ), ) account = current_user From 0c2a62f8479d4cfcc18751b5859290af7d24370b Mon Sep 17 00:00:00 2001 From: Bowen Liang Date: Fri, 30 Aug 2024 19:09:10 +0800 Subject: [PATCH 126/164] =?UTF-8?q?fix:=20correct=20http=20timeout=20confi?= =?UTF-8?q?gs=E2=80=98=20default=20values=20and=20ignorance=20by=20HttpReq?= =?UTF-8?q?uestNode=20(#7762)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- api/configs/feature/__init__.py | 23 ++++++++----------- .../nodes/http_request/http_request_node.py | 15 +++++------- .../unit_tests/configs/test_dify_config.py | 7 ++++++ 3 files changed, 23 insertions(+), 22 deletions(-) diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py index f2efa52de3..303bce2aa5 100644 --- a/api/configs/feature/__init__.py +++ b/api/configs/feature/__init__.py @@ -1,4 +1,4 @@ -from typing import Optional +from typing import Annotated, Optional from pydantic import AliasChoices, Field, HttpUrl, NegativeInt, NonNegativeInt, PositiveInt, computed_field from pydantic_settings import BaseSettings @@ -217,20 +217,17 @@ class HttpConfig(BaseSettings): def WEB_API_CORS_ALLOW_ORIGINS(self) -> list[str]: return self.inner_WEB_API_CORS_ALLOW_ORIGINS.split(",") - HTTP_REQUEST_MAX_CONNECT_TIMEOUT: NonNegativeInt = Field( - description="", - default=300, - ) + HTTP_REQUEST_MAX_CONNECT_TIMEOUT: Annotated[ + PositiveInt, Field(ge=10, description="connect timeout in seconds for HTTP request") + ] = 10 - HTTP_REQUEST_MAX_READ_TIMEOUT: NonNegativeInt = Field( - description="", - default=600, - ) + HTTP_REQUEST_MAX_READ_TIMEOUT: Annotated[ + PositiveInt, Field(ge=60, description="read timeout in seconds for HTTP request") + ] = 60 - HTTP_REQUEST_MAX_WRITE_TIMEOUT: NonNegativeInt = Field( - description="", - default=600, - ) + HTTP_REQUEST_MAX_WRITE_TIMEOUT: Annotated[ + PositiveInt, Field(ge=10, description="read timeout in seconds for HTTP request") + ] = 20 HTTP_REQUEST_NODE_MAX_BINARY_SIZE: PositiveInt = Field( description="", diff --git a/api/core/workflow/nodes/http_request/http_request_node.py b/api/core/workflow/nodes/http_request/http_request_node.py index f6c8ea3c83..037a7a1848 100644 --- a/api/core/workflow/nodes/http_request/http_request_node.py +++ b/api/core/workflow/nodes/http_request/http_request_node.py @@ -19,9 +19,9 @@ from core.workflow.nodes.http_request.http_executor import HttpExecutor, HttpExe from models.workflow import WorkflowNodeExecutionStatus HTTP_REQUEST_DEFAULT_TIMEOUT = HttpRequestNodeTimeout( - connect=min(10, dify_config.HTTP_REQUEST_MAX_CONNECT_TIMEOUT), - read=min(60, dify_config.HTTP_REQUEST_MAX_READ_TIMEOUT), - write=min(20, dify_config.HTTP_REQUEST_MAX_WRITE_TIMEOUT), + connect=dify_config.HTTP_REQUEST_MAX_CONNECT_TIMEOUT, + read=dify_config.HTTP_REQUEST_MAX_READ_TIMEOUT, + write=dify_config.HTTP_REQUEST_MAX_WRITE_TIMEOUT, ) @@ -96,12 +96,9 @@ class HttpRequestNode(BaseNode): if timeout is None: return HTTP_REQUEST_DEFAULT_TIMEOUT - timeout.connect = min(timeout.connect or HTTP_REQUEST_DEFAULT_TIMEOUT.connect, - dify_config.HTTP_REQUEST_MAX_CONNECT_TIMEOUT) - timeout.read = min(timeout.read or HTTP_REQUEST_DEFAULT_TIMEOUT.read, - dify_config.HTTP_REQUEST_MAX_READ_TIMEOUT) - timeout.write = min(timeout.write or HTTP_REQUEST_DEFAULT_TIMEOUT.write, - dify_config.HTTP_REQUEST_MAX_WRITE_TIMEOUT) + timeout.connect = timeout.connect or HTTP_REQUEST_DEFAULT_TIMEOUT.connect + timeout.read = timeout.read or HTTP_REQUEST_DEFAULT_TIMEOUT.read + timeout.write = timeout.write or HTTP_REQUEST_DEFAULT_TIMEOUT.write return timeout @classmethod diff --git a/api/tests/unit_tests/configs/test_dify_config.py b/api/tests/unit_tests/configs/test_dify_config.py index fb415483dd..3f639ccacc 100644 --- a/api/tests/unit_tests/configs/test_dify_config.py +++ b/api/tests/unit_tests/configs/test_dify_config.py @@ -19,6 +19,7 @@ def example_env_file(tmp_path, monkeypatch) -> str: """ CONSOLE_API_URL=https://example.com CONSOLE_WEB_URL=https://example.com + HTTP_REQUEST_MAX_WRITE_TIMEOUT=30 """ ) ) @@ -48,6 +49,12 @@ def test_dify_config(example_env_file): assert config.API_COMPRESSION_ENABLED is False assert config.SENTRY_TRACES_SAMPLE_RATE == 1.0 + # annotated field with default value + assert config.HTTP_REQUEST_MAX_READ_TIMEOUT == 60 + + # annotated field with configured value + assert config.HTTP_REQUEST_MAX_WRITE_TIMEOUT == 30 + # NOTE: If there is a `.env` file in your Workspace, this test might not succeed as expected. # This is due to `pymilvus` loading all the variables from the `.env` file into `os.environ`. From 1f56a20b626d2e721404ecab179fac81a5dffe90 Mon Sep 17 00:00:00 2001 From: sino Date: Sat, 31 Aug 2024 10:56:32 +0800 Subject: [PATCH 127/164] feat: support auth by api key for ark provider (#7845) --- .../model_providers/volcengine_maas/client.py | 19 +++++++++-- .../volcengine_maas/volcengine_maas.yaml | 34 +++++++++++++++++++ 2 files changed, 50 insertions(+), 3 deletions(-) diff --git a/api/core/model_runtime/model_providers/volcengine_maas/client.py b/api/core/model_runtime/model_providers/volcengine_maas/client.py index 61f3521a43..a4d89dabcb 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/client.py +++ b/api/core/model_runtime/model_providers/volcengine_maas/client.py @@ -71,11 +71,24 @@ class ArkClientV3: args = { "base_url": credentials['api_endpoint_host'], "region": credentials['volc_region'], - "ak": credentials['volc_access_key_id'], - "sk": credentials['volc_secret_access_key'], } + if credentials.get("auth_method") == "api_key": + args = { + **args, + "api_key": credentials['volc_api_key'], + } + else: + args = { + **args, + "ak": credentials['volc_access_key_id'], + "sk": credentials['volc_secret_access_key'], + } + if cls.is_compatible_with_legacy(credentials): - args["base_url"] = DEFAULT_V3_ENDPOINT + args = { + **args, + "base_url": DEFAULT_V3_ENDPOINT + } client = ArkClientV3( **args diff --git a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml b/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml index 735ba2b314..13e00da76f 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml +++ b/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml @@ -30,8 +30,28 @@ model_credential_schema: en_US: Enter your Model Name zh_Hans: 输入模型名称 credential_form_schemas: + - variable: auth_method + required: true + label: + en_US: Authentication Method + zh_Hans: 鉴权方式 + type: select + default: aksk + options: + - label: + en_US: API Key + value: api_key + - label: + en_US: Access Key / Secret Access Key + value: aksk + placeholder: + en_US: Enter your Authentication Method + zh_Hans: 选择鉴权方式 - variable: volc_access_key_id required: true + show_on: + - variable: auth_method + value: aksk label: en_US: Access Key zh_Hans: Access Key @@ -41,6 +61,9 @@ model_credential_schema: zh_Hans: 输入您的 Access Key - variable: volc_secret_access_key required: true + show_on: + - variable: auth_method + value: aksk label: en_US: Secret Access Key zh_Hans: Secret Access Key @@ -48,6 +71,17 @@ model_credential_schema: placeholder: en_US: Enter your Secret Access Key zh_Hans: 输入您的 Secret Access Key + - variable: volc_api_key + required: true + show_on: + - variable: auth_method + value: api_key + label: + en_US: API Key + type: secret-input + placeholder: + en_US: Enter your API Key + zh_Hans: 输入您的 API Key - variable: volc_region required: true label: From ef82a29e2307f08c3ce6ce51720afc43e2d5bfc1 Mon Sep 17 00:00:00 2001 From: zhujinle <32472522+zhujinle@users.noreply.github.com> Date: Sun, 1 Sep 2024 14:52:27 +0800 Subject: [PATCH 128/164] fix: crash when ECharts accesses undefined objects (#7853) --- web/app/components/base/markdown.tsx | 30 ++++++++++++++++++++++++---- 1 file changed, 26 insertions(+), 4 deletions(-) diff --git a/web/app/components/base/markdown.tsx b/web/app/components/base/markdown.tsx index af4b13ff70..6e8ae6c9e6 100644 --- a/web/app/components/base/markdown.tsx +++ b/web/app/components/base/markdown.tsx @@ -8,7 +8,7 @@ import RemarkGfm from 'remark-gfm' import SyntaxHighlighter from 'react-syntax-highlighter' import { atelierHeathLight } from 'react-syntax-highlighter/dist/esm/styles/hljs' import type { RefObject } from 'react' -import { memo, useEffect, useMemo, useRef, useState } from 'react' +import { Component, memo, useEffect, useMemo, useRef, useState } from 'react' import type { CodeComponent } from 'react-markdown/lib/ast-to-react' import cn from '@/utils/classnames' import CopyBtn from '@/app/components/base/copy-btn' @@ -104,7 +104,7 @@ const CodeBlock: CodeComponent = memo(({ inline, className, children, ...props } const match = /language-(\w+)/.exec(className || '') const language = match?.[1] const languageShowName = getCorrectCapitalizationLanguageName(language || '') - let chartData = JSON.parse(String('{"title":{"text":"Something went wrong."}}').replace(/\n$/, '')) + let chartData = JSON.parse(String('{"title":{"text":"ECharts error - Wrong JSON format."}}').replace(/\n$/, '')) if (language === 'echarts') { try { chartData = JSON.parse(String(children).replace(/\n$/, '')) @@ -143,10 +143,10 @@ const CodeBlock: CodeComponent = memo(({ inline, className, children, ...props } ? () : ( (language === 'echarts') - ? (
-
) + ) : ( ) } + +// **Add an ECharts runtime error handler +// Avoid error #7832 (Crash when ECharts accesses undefined objects) +// This can happen when a component attempts to access an undefined object that references an unregistered map, causing the program to crash. + +export default class ErrorBoundary extends Component { + constructor(props) { + super(props) + this.state = { hasError: false } + } + + componentDidCatch(error, errorInfo) { + this.setState({ hasError: true }) + console.error(error, errorInfo) + } + + render() { + if (this.state.hasError) + return
Oops! ECharts reported a runtime error.
(see the browser console for more information)
+ return this.props.children + } +} From 024d688b77f7fafdabf66498ee77efec9631d769 Mon Sep 17 00:00:00 2001 From: Hirotaka Miyagi <31152321+MH4GF@users.noreply.github.com> Date: Sun, 1 Sep 2024 15:57:50 +0900 Subject: [PATCH 129/164] fix(RetrievalConfig): Fix score threshold assignment for zero value (#7865) --- .../nodes/knowledge-retrieval/components/retrieval-config.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/components/retrieval-config.tsx b/web/app/components/workflow/nodes/knowledge-retrieval/components/retrieval-config.tsx index ebe9d2151e..b335b62e33 100644 --- a/web/app/components/workflow/nodes/knowledge-retrieval/components/retrieval-config.tsx +++ b/web/app/components/workflow/nodes/knowledge-retrieval/components/retrieval-config.tsx @@ -70,7 +70,7 @@ const RetrievalConfig: FC = ({ } onMultipleRetrievalConfigChange({ top_k: configs.top_k, - score_threshold: configs.score_threshold_enabled ? (configs.score_threshold || DATASET_DEFAULT.score_threshold) : null, + score_threshold: configs.score_threshold_enabled ? (configs.score_threshold ?? DATASET_DEFAULT.score_threshold) : null, reranking_model: payload.retrieval_mode === RETRIEVE_TYPE.oneWay ? undefined : (!configs.reranking_model?.reranking_provider_name From 1510bdbcf66dfdb14a269eeb22605a0182fdd450 Mon Sep 17 00:00:00 2001 From: Hirotaka Miyagi <31152321+MH4GF@users.noreply.github.com> Date: Sun, 1 Sep 2024 15:58:12 +0900 Subject: [PATCH 130/164] refactor: Remove typecasting by any (#7862) --- web/app/(commonLayout)/apps/Apps.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/web/app/(commonLayout)/apps/Apps.tsx b/web/app/(commonLayout)/apps/Apps.tsx index c16512bd50..132096c6b4 100644 --- a/web/app/(commonLayout)/apps/Apps.tsx +++ b/web/app/(commonLayout)/apps/Apps.tsx @@ -139,7 +139,7 @@ const Apps = () => {