diff --git a/.github/workflows/expose_service_ports.sh b/.github/workflows/expose_service_ports.sh index bc65c19a91..d3146cd90d 100755 --- a/.github/workflows/expose_service_ports.sh +++ b/.github/workflows/expose_service_ports.sh @@ -9,5 +9,6 @@ yq eval '.services["pgvecto-rs"].ports += ["5431:5432"]' -i docker/docker-compos yq eval '.services["elasticsearch"].ports += ["9200:9200"]' -i docker/docker-compose.yaml yq eval '.services.couchbase-server.ports += ["8091-8096:8091-8096"]' -i docker/docker-compose.yaml yq eval '.services.couchbase-server.ports += ["11210:11210"]' -i docker/docker-compose.yaml +yq eval '.services.tidb.ports += ["4000:4000"]' -i docker/docker-compose.yaml -echo "Ports exposed for sandbox, weaviate, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch, couchbase" +echo "Ports exposed for sandbox, weaviate, tidb, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch, couchbase" diff --git a/.github/workflows/vdb-tests.yml b/.github/workflows/vdb-tests.yml index 73af370063..146bee95f2 100644 --- a/.github/workflows/vdb-tests.yml +++ b/.github/workflows/vdb-tests.yml @@ -51,7 +51,7 @@ jobs: - name: Expose Service Ports run: sh .github/workflows/expose_service_ports.sh - - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase) + - name: Set up Vector Stores (TiDB, Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase) uses: hoverkraft-tech/compose-action@v2.0.2 with: compose-file: | @@ -67,6 +67,7 @@ jobs: pgvector chroma elasticsearch + tidb - name: Test Vector Stores run: poetry run -C api bash dev/pytest/pytest_vdb.sh diff --git a/api/.env.example b/api/.env.example index c2e3f33fc4..5652b9c346 100644 --- a/api/.env.example +++ b/api/.env.example @@ -60,17 +60,8 @@ DB_DATABASE=dify STORAGE_TYPE=opendal # Apache OpenDAL storage configuration, refer to https://github.com/apache/opendal -STORAGE_OPENDAL_SCHEME=fs -# OpenDAL FS +OPENDAL_SCHEME=fs OPENDAL_FS_ROOT=storage -# OpenDAL S3 -OPENDAL_S3_ROOT=/ -OPENDAL_S3_BUCKET=your-bucket-name -OPENDAL_S3_ENDPOINT=https://s3.amazonaws.com -OPENDAL_S3_ACCESS_KEY_ID=your-access-key -OPENDAL_S3_SECRET_ACCESS_KEY=your-secret-key -OPENDAL_S3_REGION=your-region -OPENDAL_S3_SERVER_SIDE_ENCRYPTION= # S3 Storage configuration S3_USE_AWS_MANAGED_IAM=false @@ -313,8 +304,7 @@ UPLOAD_VIDEO_FILE_SIZE_LIMIT=100 UPLOAD_AUDIO_FILE_SIZE_LIMIT=50 # Model configuration -MULTIMODAL_SEND_IMAGE_FORMAT=base64 -MULTIMODAL_SEND_VIDEO_FORMAT=base64 +MULTIMODAL_SEND_FORMAT=base64 PROMPT_GENERATION_MAX_TOKENS=512 CODE_GENERATION_MAX_TOKENS=1024 @@ -399,6 +389,8 @@ LOG_FILE_BACKUP_COUNT=5 LOG_DATEFORMAT=%Y-%m-%d %H:%M:%S # Log Timezone LOG_TZ=UTC +# Log format +LOG_FORMAT=%(asctime)s,%(msecs)d %(levelname)-2s [%(filename)s:%(lineno)d] %(req_id)s %(message)s # Indexing configuration INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=4000 @@ -431,3 +423,7 @@ RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5 CREATE_TIDB_SERVICE_JOB_ENABLED=false +# Maximum number of submitted thread count in a ThreadPool for parallel node execution +MAX_SUBMIT_COUNT=100 +# Lockout duration in seconds +LOGIN_LOCKOUT_DURATION=86400 \ No newline at end of file diff --git a/api/app.py b/api/app.py index 996e2e890f..c6a0829080 100644 --- a/api/app.py +++ b/api/app.py @@ -1,13 +1,30 @@ -from app_factory import create_app -from libs import threadings_utils, version_utils +from libs import version_utils # preparation before creating app version_utils.check_supported_python_version() -threadings_utils.apply_gevent_threading_patch() + + +def is_db_command(): + import sys + + if len(sys.argv) > 1 and sys.argv[0].endswith("flask") and sys.argv[1] == "db": + return True + return False + # create app -app = create_app() -celery = app.extensions["celery"] +if is_db_command(): + from app_factory import create_migrations_app + + app = create_migrations_app() +else: + from app_factory import create_app + from libs import threadings_utils + + threadings_utils.apply_gevent_threading_patch() + + app = create_app() + celery = app.extensions["celery"] if __name__ == "__main__": app.run(host="0.0.0.0", port=5001) diff --git a/api/app_factory.py b/api/app_factory.py index 7dc08c4d93..c0714116a3 100644 --- a/api/app_factory.py +++ b/api/app_factory.py @@ -1,5 +1,4 @@ import logging -import os import time from configs import dify_config @@ -17,15 +16,6 @@ def create_flask_app_with_configs() -> DifyApp: dify_app = DifyApp(__name__) dify_app.config.from_mapping(dify_config.model_dump()) - # populate configs into system environment variables - for key, value in dify_app.config.items(): - if isinstance(value, str): - os.environ[key] = value - elif isinstance(value, int | float | bool): - os.environ[key] = str(value) - elif value is None: - os.environ[key] = "" - return dify_app @@ -98,3 +88,14 @@ def initialize_extensions(app: DifyApp): end_time = time.perf_counter() if dify_config.DEBUG: logging.info(f"Loaded {short_name} ({round((end_time - start_time) * 1000, 2)} ms)") + + +def create_migrations_app(): + app = create_flask_app_with_configs() + from extensions import ext_database, ext_migrate + + # Initialize only required extensions + ext_database.init_app(app) + ext_migrate.init_app(app) + + return app diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py index f1cb3efda7..623c7cf1e1 100644 --- a/api/configs/feature/__init__.py +++ b/api/configs/feature/__init__.py @@ -439,6 +439,17 @@ class WorkflowConfig(BaseSettings): ) +class WorkflowNodeExecutionConfig(BaseSettings): + """ + Configuration for workflow node execution + """ + + MAX_SUBMIT_COUNT: PositiveInt = Field( + description="Maximum number of submitted thread count in a ThreadPool for parallel node execution", + default=100, + ) + + class AuthConfig(BaseSettings): """ Configuration for authentication and OAuth @@ -474,6 +485,11 @@ class AuthConfig(BaseSettings): default=60, ) + LOGIN_LOCKOUT_DURATION: PositiveInt = Field( + description="Time (in seconds) a user must wait before retrying login after exceeding the rate limit.", + default=86400, + ) + class ModerationConfig(BaseSettings): """ @@ -649,14 +665,9 @@ class IndexingConfig(BaseSettings): ) -class VisionFormatConfig(BaseSettings): - MULTIMODAL_SEND_IMAGE_FORMAT: Literal["base64", "url"] = Field( - description="Format for sending images in multimodal contexts ('base64' or 'url'), default is base64", - default="base64", - ) - - MULTIMODAL_SEND_VIDEO_FORMAT: Literal["base64", "url"] = Field( - description="Format for sending videos in multimodal contexts ('base64' or 'url'), default is base64", +class MultiModalTransferConfig(BaseSettings): + MULTIMODAL_SEND_FORMAT: Literal["base64", "url"] = Field( + description="Format for sending files in multimodal contexts ('base64' or 'url'), default is base64", default="base64", ) @@ -762,19 +773,20 @@ class FeatureConfig( FileAccessConfig, FileUploadConfig, HttpConfig, - VisionFormatConfig, InnerAPIConfig, IndexingConfig, LoggingConfig, MailConfig, ModelLoadBalanceConfig, ModerationConfig, + MultiModalTransferConfig, PositionConfig, RagEtlConfig, SecurityConfig, ToolConfig, UpdateConfig, WorkflowConfig, + WorkflowNodeExecutionConfig, WorkspaceConfig, LoginConfig, # hosted services config diff --git a/api/configs/middleware/storage/opendal_storage_config.py b/api/configs/middleware/storage/opendal_storage_config.py index 56a8d24edf..ef38070e53 100644 --- a/api/configs/middleware/storage/opendal_storage_config.py +++ b/api/configs/middleware/storage/opendal_storage_config.py @@ -1,51 +1,9 @@ -from enum import StrEnum -from typing import Literal - from pydantic import Field from pydantic_settings import BaseSettings -class OpenDALScheme(StrEnum): - FS = "fs" - S3 = "s3" - - class OpenDALStorageConfig(BaseSettings): - STORAGE_OPENDAL_SCHEME: str = Field( - default=OpenDALScheme.FS.value, + OPENDAL_SCHEME: str = Field( + default="fs", description="OpenDAL scheme.", ) - # FS - OPENDAL_FS_ROOT: str = Field( - default="storage", - description="Root path for local storage.", - ) - # S3 - OPENDAL_S3_ROOT: str = Field( - default="/", - description="Root path for S3 storage.", - ) - OPENDAL_S3_BUCKET: str = Field( - default="", - description="S3 bucket name.", - ) - OPENDAL_S3_ENDPOINT: str = Field( - default="https://s3.amazonaws.com", - description="S3 endpoint URL.", - ) - OPENDAL_S3_ACCESS_KEY_ID: str = Field( - default="", - description="S3 access key ID.", - ) - OPENDAL_S3_SECRET_ACCESS_KEY: str = Field( - default="", - description="S3 secret access key.", - ) - OPENDAL_S3_REGION: str = Field( - default="", - description="S3 region.", - ) - OPENDAL_S3_SERVER_SIDE_ENCRYPTION: Literal["aws:kms", ""] = Field( - default="", - description="S3 server-side encryption.", - ) diff --git a/api/configs/packaging/__init__.py b/api/configs/packaging/__init__.py index 0c2ccd826e..51db50ec3d 100644 --- a/api/configs/packaging/__init__.py +++ b/api/configs/packaging/__init__.py @@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings): CURRENT_VERSION: str = Field( description="Dify version", - default="0.13.2", + default="0.14.0", ) COMMIT_SHA: str = Field( diff --git a/api/controllers/console/app/model_config.py b/api/controllers/console/app/model_config.py index 8ba195f5a5..a46bc6a8a9 100644 --- a/api/controllers/console/app/model_config.py +++ b/api/controllers/console/app/model_config.py @@ -65,7 +65,7 @@ class ModelConfigResource(Resource): provider_type=agent_tool_entity.provider_type, identity_id=f"AGENT.{app_model.id}", ) - except Exception as e: + except Exception: continue # get decrypted parameters @@ -97,7 +97,7 @@ class ModelConfigResource(Resource): app_id=app_model.id, agent_tool=agent_tool_entity, ) - except Exception as e: + except Exception: continue manager = ToolParameterConfigurationManager( diff --git a/api/controllers/console/app/ops_trace.py b/api/controllers/console/app/ops_trace.py index 47b58396a1..3f10215e70 100644 --- a/api/controllers/console/app/ops_trace.py +++ b/api/controllers/console/app/ops_trace.py @@ -1,4 +1,5 @@ from flask_restful import Resource, reqparse +from werkzeug.exceptions import BadRequest from controllers.console import api from controllers.console.app.error import TracingConfigCheckError, TracingConfigIsExist, TracingConfigNotExist @@ -26,7 +27,7 @@ class TraceAppConfigApi(Resource): return {"has_not_configured": True} return trace_config except Exception as e: - raise e + raise BadRequest(str(e)) @setup_required @login_required @@ -48,7 +49,7 @@ class TraceAppConfigApi(Resource): raise TracingConfigCheckError() return result except Exception as e: - raise e + raise BadRequest(str(e)) @setup_required @login_required @@ -68,7 +69,7 @@ class TraceAppConfigApi(Resource): raise TracingConfigNotExist() return {"result": "success"} except Exception as e: - raise e + raise BadRequest(str(e)) @setup_required @login_required @@ -85,7 +86,7 @@ class TraceAppConfigApi(Resource): raise TracingConfigNotExist() return {"result": "success"} except Exception as e: - raise e + raise BadRequest(str(e)) api.add_resource(TraceAppConfigApi, "/apps//trace-config") diff --git a/api/controllers/console/datasets/datasets_document.py b/api/controllers/console/datasets/datasets_document.py index de3b4f6262..ad4768f519 100644 --- a/api/controllers/console/datasets/datasets_document.py +++ b/api/controllers/console/datasets/datasets_document.py @@ -948,7 +948,7 @@ class DocumentRetryApi(DocumentResource): if document.indexing_status == "completed": raise DocumentAlreadyFinishedError() retry_documents.append(document) - except Exception as e: + except Exception: logging.exception(f"Failed to retry document, document id: {document_id}") continue # retry document diff --git a/api/controllers/console/explore/recommended_app.py b/api/controllers/console/explore/recommended_app.py index 5daaa1e7c3..baf1f591b9 100644 --- a/api/controllers/console/explore/recommended_app.py +++ b/api/controllers/console/explore/recommended_app.py @@ -4,6 +4,7 @@ from flask_restful import Resource, fields, marshal_with, reqparse from constants.languages import languages from controllers.console import api from controllers.console.wraps import account_initialization_required +from libs.helper import AppIconUrlField from libs.login import login_required from services.recommended_app_service import RecommendedAppService @@ -12,6 +13,7 @@ app_fields = { "name": fields.String, "mode": fields.String, "icon": fields.String, + "icon_url": AppIconUrlField, "icon_background": fields.String, } diff --git a/api/core/app/apps/workflow/generate_task_pipeline.py b/api/core/app/apps/workflow/generate_task_pipeline.py index 3038a3a922..94dd1b6e47 100644 --- a/api/core/app/apps/workflow/generate_task_pipeline.py +++ b/api/core/app/apps/workflow/generate_task_pipeline.py @@ -260,36 +260,34 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa workflow_node_execution = self._handle_node_execution_start(workflow_run=workflow_run, event=event) - response = self._workflow_node_start_to_stream_response( + node_start_response = self._workflow_node_start_to_stream_response( event=event, task_id=self._application_generate_entity.task_id, workflow_node_execution=workflow_node_execution, ) - if response: - yield response + if node_start_response: + yield node_start_response elif isinstance(event, QueueNodeSucceededEvent): workflow_node_execution = self._handle_workflow_node_execution_success(event) - response = self._workflow_node_finish_to_stream_response( + node_success_response = self._workflow_node_finish_to_stream_response( event=event, task_id=self._application_generate_entity.task_id, workflow_node_execution=workflow_node_execution, ) - if response: - yield response + if node_success_response: + yield node_success_response elif isinstance(event, QueueNodeFailedEvent | QueueNodeInIterationFailedEvent | QueueNodeExceptionEvent): workflow_node_execution = self._handle_workflow_node_execution_failed(event) - response = self._workflow_node_finish_to_stream_response( + node_failed_response = self._workflow_node_finish_to_stream_response( event=event, task_id=self._application_generate_entity.task_id, workflow_node_execution=workflow_node_execution, ) - if response: - yield response elif isinstance( event, QueueNodeRetryEvent, @@ -306,6 +304,8 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa if response: yield response + if node_failed_response: + yield node_failed_response elif isinstance(event, QueueParallelBranchRunStartedEvent): if not workflow_run: raise Exception("Workflow run not initialized.") @@ -394,47 +394,19 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa if not graph_runtime_state: raise Exception("Graph runtime state not initialized.") - handle_args = { - "workflow_run": workflow_run, - "start_at": graph_runtime_state.start_at, - "total_tokens": graph_runtime_state.total_tokens, - "total_steps": graph_runtime_state.node_run_steps, - "status": WorkflowRunStatus.FAILED + workflow_run = self._handle_workflow_run_failed( + workflow_run=workflow_run, + start_at=graph_runtime_state.start_at, + total_tokens=graph_runtime_state.total_tokens, + total_steps=graph_runtime_state.node_run_steps, + status=WorkflowRunStatus.FAILED if isinstance(event, QueueWorkflowFailedEvent) else WorkflowRunStatus.STOPPED, - "error": event.error if isinstance(event, QueueWorkflowFailedEvent) else event.get_stop_reason(), - "conversation_id": None, - "trace_manager": trace_manager, - "exceptions_count": event.exceptions_count if isinstance(event, QueueWorkflowFailedEvent) else 0, - } - workflow_run = self._handle_workflow_run_failed(**handle_args) - - # save workflow app log - self._save_workflow_app_log(workflow_run) - - yield self._workflow_finish_to_stream_response( - task_id=self._application_generate_entity.task_id, workflow_run=workflow_run + error=event.error if isinstance(event, QueueWorkflowFailedEvent) else event.get_stop_reason(), + conversation_id=None, + trace_manager=trace_manager, + exceptions_count=event.exceptions_count if isinstance(event, QueueWorkflowFailedEvent) else 0, ) - elif isinstance(event, QueueWorkflowPartialSuccessEvent): - if not workflow_run: - raise Exception("Workflow run not initialized.") - - if not graph_runtime_state: - raise Exception("Graph runtime state not initialized.") - handle_args = { - "workflow_run": workflow_run, - "start_at": graph_runtime_state.start_at, - "total_tokens": graph_runtime_state.total_tokens, - "total_steps": graph_runtime_state.node_run_steps, - "status": WorkflowRunStatus.FAILED - if isinstance(event, QueueWorkflowFailedEvent) - else WorkflowRunStatus.STOPPED, - "error": event.error if isinstance(event, QueueWorkflowFailedEvent) else event.get_stop_reason(), - "conversation_id": None, - "trace_manager": trace_manager, - "exceptions_count": event.exceptions_count, - } - workflow_run = self._handle_workflow_run_partial_success(**handle_args) # save workflow app log self._save_workflow_app_log(workflow_run) diff --git a/api/core/app/task_pipeline/workflow_cycle_manage.py b/api/core/app/task_pipeline/workflow_cycle_manage.py index 535143f163..041e82b099 100644 --- a/api/core/app/task_pipeline/workflow_cycle_manage.py +++ b/api/core/app/task_pipeline/workflow_cycle_manage.py @@ -273,9 +273,9 @@ class WorkflowCycleManage: db.session.close() - with Session(db.engine, expire_on_commit=False) as session: - session.add(workflow_run) - session.refresh(workflow_run) + # with Session(db.engine, expire_on_commit=False) as session: + # session.add(workflow_run) + # session.refresh(workflow_run) if trace_manager: trace_manager.add_trace_task( diff --git a/api/core/file/file_manager.py b/api/core/file/file_manager.py index 3b83683755..dd363ee1ba 100644 --- a/api/core/file/file_manager.py +++ b/api/core/file/file_manager.py @@ -42,39 +42,31 @@ def to_prompt_message_content( *, image_detail_config: ImagePromptMessageContent.DETAIL | None = None, ): - match f.type: - case FileType.IMAGE: - image_detail_config = image_detail_config or ImagePromptMessageContent.DETAIL.LOW - if dify_config.MULTIMODAL_SEND_IMAGE_FORMAT == "url": - data = _to_url(f) - else: - data = _to_base64_data_string(f) + if f.extension is None: + raise ValueError("Missing file extension") + if f.mime_type is None: + raise ValueError("Missing file mime_type") - return ImagePromptMessageContent(data=data, detail=image_detail_config) - case FileType.AUDIO: - encoded_string = _get_encoded_string(f) - if f.extension is None: - raise ValueError("Missing file extension") - return AudioPromptMessageContent(data=encoded_string, format=f.extension.lstrip(".")) - case FileType.VIDEO: - if dify_config.MULTIMODAL_SEND_VIDEO_FORMAT == "url": - data = _to_url(f) - else: - data = _to_base64_data_string(f) - if f.extension is None: - raise ValueError("Missing file extension") - return VideoPromptMessageContent(data=data, format=f.extension.lstrip(".")) - case FileType.DOCUMENT: - data = _get_encoded_string(f) - if f.mime_type is None: - raise ValueError("Missing file mime_type") - return DocumentPromptMessageContent( - encode_format="base64", - mime_type=f.mime_type, - data=data, - ) - case _: - raise ValueError(f"file type {f.type} is not supported") + params = { + "base64_data": _get_encoded_string(f) if dify_config.MULTIMODAL_SEND_FORMAT == "base64" else "", + "url": _to_url(f) if dify_config.MULTIMODAL_SEND_FORMAT == "url" else "", + "format": f.extension.removeprefix("."), + "mime_type": f.mime_type, + } + if f.type == FileType.IMAGE: + params["detail"] = image_detail_config or ImagePromptMessageContent.DETAIL.LOW + + prompt_class_map = { + FileType.IMAGE: ImagePromptMessageContent, + FileType.AUDIO: AudioPromptMessageContent, + FileType.VIDEO: VideoPromptMessageContent, + FileType.DOCUMENT: DocumentPromptMessageContent, + } + + try: + return prompt_class_map[f.type](**params) + except KeyError: + raise ValueError(f"file type {f.type} is not supported") def download(f: File, /): @@ -128,11 +120,6 @@ def _get_encoded_string(f: File, /): return encoded_string -def _to_base64_data_string(f: File, /): - encoded_string = _get_encoded_string(f) - return f"data:{f.mime_type};base64,{encoded_string}" - - def _to_url(f: File, /): if f.transfer_method == FileTransferMethod.REMOTE_URL: if f.remote_url is None: diff --git a/api/core/model_runtime/entities/message_entities.py b/api/core/model_runtime/entities/message_entities.py index f2870209bb..7928426106 100644 --- a/api/core/model_runtime/entities/message_entities.py +++ b/api/core/model_runtime/entities/message_entities.py @@ -1,9 +1,9 @@ from abc import ABC from collections.abc import Sequence from enum import Enum, StrEnum -from typing import Literal, Optional +from typing import Optional -from pydantic import BaseModel, Field, field_validator +from pydantic import BaseModel, Field, computed_field, field_validator class PromptMessageRole(Enum): @@ -67,7 +67,6 @@ class PromptMessageContent(BaseModel): """ type: PromptMessageContentType - data: str class TextPromptMessageContent(PromptMessageContent): @@ -76,21 +75,35 @@ class TextPromptMessageContent(PromptMessageContent): """ type: PromptMessageContentType = PromptMessageContentType.TEXT + data: str -class VideoPromptMessageContent(PromptMessageContent): +class MultiModalPromptMessageContent(PromptMessageContent): + """ + Model class for multi-modal prompt message content. + """ + + type: PromptMessageContentType + format: str = Field(..., description="the format of multi-modal file") + base64_data: str = Field("", description="the base64 data of multi-modal file") + url: str = Field("", description="the url of multi-modal file") + mime_type: str = Field(..., description="the mime type of multi-modal file") + + @computed_field(return_type=str) + @property + def data(self): + return self.url or f"data:{self.mime_type};base64,{self.base64_data}" + + +class VideoPromptMessageContent(MultiModalPromptMessageContent): type: PromptMessageContentType = PromptMessageContentType.VIDEO - data: str = Field(..., description="Base64 encoded video data") - format: str = Field(..., description="Video format") -class AudioPromptMessageContent(PromptMessageContent): +class AudioPromptMessageContent(MultiModalPromptMessageContent): type: PromptMessageContentType = PromptMessageContentType.AUDIO - data: str = Field(..., description="Base64 encoded audio data") - format: str = Field(..., description="Audio format") -class ImagePromptMessageContent(PromptMessageContent): +class ImagePromptMessageContent(MultiModalPromptMessageContent): """ Model class for image prompt message content. """ @@ -103,11 +116,8 @@ class ImagePromptMessageContent(PromptMessageContent): detail: DETAIL = DETAIL.LOW -class DocumentPromptMessageContent(PromptMessageContent): +class DocumentPromptMessageContent(MultiModalPromptMessageContent): type: PromptMessageContentType = PromptMessageContentType.DOCUMENT - encode_format: Literal["base64"] - mime_type: str - data: str class PromptMessage(ABC, BaseModel): 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 3faf5abbe8..e1d35ff872 100644 --- a/api/core/model_runtime/model_providers/anthropic/llm/llm.py +++ b/api/core/model_runtime/model_providers/anthropic/llm/llm.py @@ -1,5 +1,4 @@ import base64 -import io import json from collections.abc import Generator, Sequence from typing import Optional, Union, cast @@ -18,7 +17,6 @@ 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 import ( @@ -498,22 +496,19 @@ class AnthropicLargeLanguageModel(LargeLanguageModel): sub_messages.append(sub_message_dict) elif message_content.type == PromptMessageContentType.IMAGE: message_content = cast(ImagePromptMessageContent, message_content) - if not message_content.data.startswith("data:"): + if not message_content.base64_data: # fetch image data from url try: - image_content = requests.get(message_content.data).content - with Image.open(io.BytesIO(image_content)) as img: - mime_type = f"image/{img.format.lower()}" + image_content = requests.get(message_content.url).content 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}" ) else: - data_split = message_content.data.split(";base64,") - mime_type = data_split[0].replace("data:", "") - base64_data = data_split[1] + base64_data = message_content.base64_data + mime_type = message_content.mime_type if mime_type not in {"image/jpeg", "image/png", "image/gif", "image/webp"}: raise ValueError( f"Unsupported image type {mime_type}, " @@ -534,7 +529,7 @@ class AnthropicLargeLanguageModel(LargeLanguageModel): sub_message_dict = { "type": "document", "source": { - "type": message_content.encode_format, + "type": "base64", "media_type": message_content.mime_type, "data": message_content.data, }, diff --git a/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml b/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml index 1ef5e83abc..66c523504e 100644 --- a/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml +++ b/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml @@ -86,6 +86,9 @@ model_credential_schema: - label: en_US: '2024-06-01' value: '2024-06-01' + - label: + en_US: '2024-10-21' + value: '2024-10-21' placeholder: zh_Hans: 在此选择您的 API 版本 en_US: Select your API Version here diff --git a/api/core/model_runtime/model_providers/baichuan/llm/llm.py b/api/core/model_runtime/model_providers/baichuan/llm/llm.py index 91a14bf100..e8d18cfff1 100644 --- a/api/core/model_runtime/model_providers/baichuan/llm/llm.py +++ b/api/core/model_runtime/model_providers/baichuan/llm/llm.py @@ -10,6 +10,7 @@ from core.model_runtime.entities.llm_entities import ( from core.model_runtime.entities.message_entities import ( AssistantPromptMessage, PromptMessage, + PromptMessageContentType, PromptMessageTool, SystemPromptMessage, ToolPromptMessage, @@ -105,7 +106,11 @@ class BaichuanLanguageModel(LargeLanguageModel): if isinstance(message.content, str): message_dict = {"role": "user", "content": message.content} else: - raise ValueError("User message content must be str") + for message_content in message.content: + if message_content.type == PromptMessageContentType.TEXT: + message_dict = {"role": "user", "content": message_content.data} + elif message_content.type == PromptMessageContentType.IMAGE: + raise ValueError("Content object type not support image_url") elif isinstance(message, AssistantPromptMessage): message = cast(AssistantPromptMessage, message) message_dict = {"role": "assistant", "content": message.content} diff --git a/api/core/model_runtime/model_providers/deepseek/llm/llm.py b/api/core/model_runtime/model_providers/deepseek/llm/llm.py index 610dc7b458..0a81f0c094 100644 --- a/api/core/model_runtime/model_providers/deepseek/llm/llm.py +++ b/api/core/model_runtime/model_providers/deepseek/llm/llm.py @@ -24,6 +24,9 @@ class DeepseekLargeLanguageModel(OAIAPICompatLargeLanguageModel): user: Optional[str] = None, ) -> Union[LLMResult, Generator]: self._add_custom_parameters(credentials) + # {"response_format": "xx"} need convert to {"response_format": {"type": "xx"}} + if "response_format" in model_parameters: + model_parameters["response_format"] = {"type": model_parameters.get("response_format")} return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream) def validate_credentials(self, model: str, credentials: dict) -> None: diff --git a/api/core/model_runtime/model_providers/gitee_ai/llm/InternVL2-8B.yaml b/api/core/model_runtime/model_providers/gitee_ai/llm/InternVL2-8B.yaml new file mode 100644 index 0000000000..d288c3dd39 --- /dev/null +++ b/api/core/model_runtime/model_providers/gitee_ai/llm/InternVL2-8B.yaml @@ -0,0 +1,93 @@ +model: InternVL2-8B +label: + en_US: InternVL2-8B +model_type: llm +features: + - vision + - agent-thought +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + label: + en_US: "Max Tokens" + zh_Hans: "最大Token数" + type: int + default: 512 + min: 1 + required: true + help: + en_US: "The maximum number of tokens that can be generated by the model varies depending on the model." + zh_Hans: "模型可生成的最大 token 个数，不同模型上限不同。" + + - name: temperature + use_template: temperature + label: + en_US: "Temperature" + zh_Hans: "采样温度" + type: float + default: 0.7 + min: 0.0 + max: 1.0 + precision: 1 + required: true + help: + en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." + zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" + + - name: top_p + use_template: top_p + label: + en_US: "Top P" + zh_Hans: "Top P" + type: float + default: 0.7 + min: 0.0 + max: 1.0 + precision: 1 + required: true + help: + en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." + zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" + + - name: top_k + use_template: top_k + label: + en_US: "Top K" + zh_Hans: "Top K" + type: int + default: 50 + min: 0 + max: 100 + required: true + help: + en_US: "The value range is [0,100], which limits the model to only select from the top k words with the highest probability when choosing the next word at each step. The larger the value, the more diverse text generation will be." + zh_Hans: "取值范围为 [0,100]，限制模型在每一步选择下一个词时，只从概率最高的前 k 个词中选取。数值越大，文本生成越多样。" + + - name: frequency_penalty + use_template: frequency_penalty + label: + en_US: "Frequency Penalty" + zh_Hans: "频率惩罚" + type: float + default: 0 + min: -1.0 + max: 1.0 + precision: 1 + required: false + help: + en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation." + zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。" + + - name: user + use_template: text + label: + en_US: "User" + zh_Hans: "用户" + type: string + required: false + help: + en_US: "Used to track and differentiate conversation requests from different users." + zh_Hans: "用于追踪和区分不同用户的对话请求。" diff --git a/api/core/model_runtime/model_providers/gitee_ai/llm/InternVL2.5-26B.yaml b/api/core/model_runtime/model_providers/gitee_ai/llm/InternVL2.5-26B.yaml new file mode 100644 index 0000000000..b2dee88c02 --- /dev/null +++ b/api/core/model_runtime/model_providers/gitee_ai/llm/InternVL2.5-26B.yaml @@ -0,0 +1,93 @@ +model: InternVL2.5-26B +label: + en_US: InternVL2.5-26B +model_type: llm +features: + - vision + - agent-thought +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + label: + en_US: "Max Tokens" + zh_Hans: "最大Token数" + type: int + default: 512 + min: 1 + required: true + help: + en_US: "The maximum number of tokens that can be generated by the model varies depending on the model." + zh_Hans: "模型可生成的最大 token 个数，不同模型上限不同。" + + - name: temperature + use_template: temperature + label: + en_US: "Temperature" + zh_Hans: "采样温度" + type: float + default: 0.7 + min: 0.0 + max: 1.0 + precision: 1 + required: true + help: + en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." + zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" + + - name: top_p + use_template: top_p + label: + en_US: "Top P" + zh_Hans: "Top P" + type: float + default: 0.7 + min: 0.0 + max: 1.0 + precision: 1 + required: true + help: + en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." + zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" + + - name: top_k + use_template: top_k + label: + en_US: "Top K" + zh_Hans: "Top K" + type: int + default: 50 + min: 0 + max: 100 + required: true + help: + en_US: "The value range is [0,100], which limits the model to only select from the top k words with the highest probability when choosing the next word at each step. The larger the value, the more diverse text generation will be." + zh_Hans: "取值范围为 [0,100]，限制模型在每一步选择下一个词时，只从概率最高的前 k 个词中选取。数值越大，文本生成越多样。" + + - name: frequency_penalty + use_template: frequency_penalty + label: + en_US: "Frequency Penalty" + zh_Hans: "频率惩罚" + type: float + default: 0 + min: -1.0 + max: 1.0 + precision: 1 + required: false + help: + en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation." + zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。" + + - name: user + use_template: text + label: + en_US: "User" + zh_Hans: "用户" + type: string + required: false + help: + en_US: "Used to track and differentiate conversation requests from different users." + zh_Hans: "用于追踪和区分不同用户的对话请求。" diff --git a/api/core/model_runtime/model_providers/gitee_ai/llm/_position.yaml b/api/core/model_runtime/model_providers/gitee_ai/llm/_position.yaml index 13c31ad02b..c942cda3b2 100644 --- a/api/core/model_runtime/model_providers/gitee_ai/llm/_position.yaml +++ b/api/core/model_runtime/model_providers/gitee_ai/llm/_position.yaml @@ -6,3 +6,5 @@ - deepseek-coder-33B-instruct-chat - deepseek-coder-33B-instruct-completions - codegeex4-all-9b +- InternVL2.5-26B +- InternVL2-8B diff --git a/api/core/model_runtime/model_providers/gitee_ai/llm/llm.py b/api/core/model_runtime/model_providers/gitee_ai/llm/llm.py index 0c253a4a0a..68aaad2e3f 100644 --- a/api/core/model_runtime/model_providers/gitee_ai/llm/llm.py +++ b/api/core/model_runtime/model_providers/gitee_ai/llm/llm.py @@ -29,18 +29,26 @@ class GiteeAILargeLanguageModel(OAIAPICompatLargeLanguageModel): user: Optional[str] = None, ) -> Union[LLMResult, Generator]: self._add_custom_parameters(credentials, model, model_parameters) - return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) + return super()._invoke( + GiteeAILargeLanguageModel.MODEL_TO_IDENTITY.get(model, model), + credentials, + prompt_messages, + model_parameters, + tools, + stop, + stream, + user, + ) def validate_credentials(self, model: str, credentials: dict) -> None: - self._add_custom_parameters(credentials, None) - super().validate_credentials(model, credentials) + self._add_custom_parameters(credentials, model, None) + super().validate_credentials(GiteeAILargeLanguageModel.MODEL_TO_IDENTITY.get(model, model), credentials) - def _add_custom_parameters(self, credentials: dict, model: Optional[str]) -> None: + def _add_custom_parameters(self, credentials: dict, model: Optional[str], model_parameters: dict) -> None: if model is None: model = "Qwen2-72B-Instruct" - model_identity = GiteeAILargeLanguageModel.MODEL_TO_IDENTITY.get(model, model) - credentials["endpoint_url"] = f"https://ai.gitee.com/api/serverless/{model_identity}/" + credentials["endpoint_url"] = "https://ai.gitee.com/v1" if model.endswith("completions"): credentials["mode"] = LLMMode.COMPLETION.value else: diff --git a/api/core/model_runtime/model_providers/google/llm/_position.yaml b/api/core/model_runtime/model_providers/google/llm/_position.yaml index ab3081db38..0b5e1025bf 100644 --- a/api/core/model_runtime/model_providers/google/llm/_position.yaml +++ b/api/core/model_runtime/model_providers/google/llm/_position.yaml @@ -1,3 +1,4 @@ +- gemini-2.0-flash-exp - gemini-1.5-pro - gemini-1.5-pro-latest - gemini-1.5-pro-001 @@ -11,6 +12,8 @@ - gemini-1.5-flash-exp-0827 - gemini-1.5-flash-8b-exp-0827 - gemini-1.5-flash-8b-exp-0924 +- gemini-exp-1206 +- gemini-exp-1121 - gemini-exp-1114 - gemini-pro - gemini-pro-vision diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml index 43f4e4787d..86bba2154a 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml @@ -8,6 +8,8 @@ features: - tool-call - stream-tool-call - document + - video + - audio model_properties: mode: chat context_size: 1048576 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml index 7b9add6af1..9ad57a1933 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml @@ -8,6 +8,8 @@ features: - tool-call - stream-tool-call - document + - video + - audio model_properties: mode: chat context_size: 1048576 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml index d6de82012e..72205f15a8 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml @@ -8,6 +8,8 @@ features: - tool-call - stream-tool-call - document + - video + - audio model_properties: mode: chat context_size: 1048576 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml index 23b8d318fc..1193e60669 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml @@ -8,6 +8,8 @@ features: - tool-call - stream-tool-call - document + - video + - audio model_properties: mode: chat context_size: 1048576 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml index 9762706cd7..7eba1f3d4d 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml @@ -8,6 +8,8 @@ features: - tool-call - stream-tool-call - document + - video + - audio model_properties: mode: chat context_size: 1048576 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml index b9739d068e..b8c5024158 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml @@ -8,6 +8,8 @@ features: - tool-call - stream-tool-call - document + - video + - audio model_properties: mode: chat context_size: 1048576 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml index d8ab4efc91..ea0c42dda8 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml @@ -8,6 +8,8 @@ features: - tool-call - stream-tool-call - document + - video + - audio model_properties: mode: chat context_size: 1048576 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml index 05184823e4..16df30857c 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml @@ -8,6 +8,8 @@ features: - tool-call - stream-tool-call - document + - video + - audio model_properties: mode: chat context_size: 2097152 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml index 548fe6ddb2..717d9481b9 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml @@ -8,6 +8,8 @@ features: - tool-call - stream-tool-call - document + - video + - audio model_properties: mode: chat context_size: 2097152 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml index defab26acf..bf9704f0d5 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml @@ -8,6 +8,8 @@ features: - tool-call - stream-tool-call - document + - video + - audio model_properties: mode: chat context_size: 2097152 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml index 9cbc889f17..714ff35f34 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml @@ -8,6 +8,8 @@ features: - tool-call - stream-tool-call - document + - video + - audio model_properties: mode: chat context_size: 2097152 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml index e5aefcdb99..bbca2ba385 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml @@ -8,6 +8,8 @@ features: - tool-call - stream-tool-call - document + - video + - audio model_properties: mode: chat context_size: 2097152 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml index 00bd3e8d99..ae127fb4e2 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml @@ -8,6 +8,8 @@ features: - tool-call - stream-tool-call - document + - video + - audio model_properties: mode: chat context_size: 2097152 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-exp.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-exp.yaml index bcd59623a7..966617e902 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-exp.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-exp.yaml @@ -8,6 +8,8 @@ features: - tool-call - stream-tool-call - document + - video + - audio model_properties: mode: chat context_size: 1048576 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-exp-1114.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-exp-1114.yaml index 0515e706c2..bd49b47693 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-exp-1114.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-exp-1114.yaml @@ -8,6 +8,8 @@ features: - tool-call - stream-tool-call - document + - video + - audio model_properties: mode: chat context_size: 32767 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-exp-1121.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-exp-1121.yaml index 9ca4f6e675..8e3f218df4 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-exp-1121.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-exp-1121.yaml @@ -7,6 +7,9 @@ features: - vision - tool-call - stream-tool-call + - document + - video + - audio model_properties: mode: chat context_size: 32767 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-exp-1206.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-exp-1206.yaml index 1743d8b968..7a7c361c43 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-exp-1206.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-exp-1206.yaml @@ -7,6 +7,9 @@ features: - vision - tool-call - stream-tool-call + - document + - video + - audio model_properties: mode: chat context_size: 2097152 diff --git a/api/core/model_runtime/model_providers/google/llm/learnlm-1.5-pro-experimental.yaml b/api/core/model_runtime/model_providers/google/llm/learnlm-1.5-pro-experimental.yaml index 0b29814289..f6d90d52ec 100644 --- a/api/core/model_runtime/model_providers/google/llm/learnlm-1.5-pro-experimental.yaml +++ b/api/core/model_runtime/model_providers/google/llm/learnlm-1.5-pro-experimental.yaml @@ -7,6 +7,9 @@ features: - vision - tool-call - stream-tool-call + - document + - video + - audio model_properties: mode: chat context_size: 32767 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 c19e860d2e..b54668a12d 100644 --- a/api/core/model_runtime/model_providers/google/llm/llm.py +++ b/api/core/model_runtime/model_providers/google/llm/llm.py @@ -1,24 +1,23 @@ import base64 -import io import json +import os +import tempfile +import time from collections.abc import Generator -from typing import Optional, Union, cast +from typing import Optional, Union import google.ai.generativelanguage as glm import google.generativeai as genai import requests from google.api_core import exceptions -from google.generativeai.client import _ClientManager -from google.generativeai.types import ContentType, GenerateContentResponse +from google.generativeai.types import ContentType, File, GenerateContentResponse 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 ( AssistantPromptMessage, - DocumentPromptMessageContent, - ImagePromptMessageContent, PromptMessage, + PromptMessageContent, PromptMessageContentType, PromptMessageTool, SystemPromptMessage, @@ -35,21 +34,7 @@ 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 - -GOOGLE_AVAILABLE_MIMETYPE = [ - "application/pdf", - "application/x-javascript", - "text/javascript", - "application/x-python", - "text/x-python", - "text/plain", - "text/html", - "text/css", - "text/md", - "text/csv", - "text/xml", - "text/rtf", -] +from extensions.ext_redis import redis_client class GoogleLargeLanguageModel(LargeLanguageModel): @@ -201,29 +186,17 @@ class GoogleLargeLanguageModel(LargeLanguageModel): if stop: config_kwargs["stop_sequences"] = stop + genai.configure(api_key=credentials["google_api_key"]) google_model = genai.GenerativeModel(model_name=model) history = [] - # hack for gemini-pro-vision, which currently does not support multi-turn chat - if model == "gemini-pro-vision": - last_msg = prompt_messages[-1] - content = self._format_message_to_glm_content(last_msg) - history.append(content) - else: - for msg in prompt_messages: # makes message roles strictly alternating - content = self._format_message_to_glm_content(msg) - if history and history[-1]["role"] == content["role"]: - history[-1]["parts"].extend(content["parts"]) - else: - history.append(content) - - # Create a new ClientManager with tenant's API key - new_client_manager = _ClientManager() - new_client_manager.configure(api_key=credentials["google_api_key"]) - new_custom_client = new_client_manager.make_client("generative") - - google_model._client = new_custom_client + for msg in prompt_messages: # makes message roles strictly alternating + content = self._format_message_to_glm_content(msg) + if history and history[-1]["role"] == content["role"]: + history[-1]["parts"].extend(content["parts"]) + else: + history.append(content) response = google_model.generate_content( contents=history, @@ -317,8 +290,12 @@ class GoogleLargeLanguageModel(LargeLanguageModel): ) else: # calculate num tokens - prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages) - completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message]) + if hasattr(response, "usage_metadata") and response.usage_metadata: + prompt_tokens = response.usage_metadata.prompt_token_count + completion_tokens = response.usage_metadata.candidates_token_count + else: + prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages) + completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message]) # transform usage usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) @@ -346,7 +323,7 @@ class GoogleLargeLanguageModel(LargeLanguageModel): content = message.content if isinstance(content, list): - content = "".join(c.data for c in content if c.type != PromptMessageContentType.IMAGE) + content = "".join(c.data for c in content if c.type == PromptMessageContentType.TEXT) if isinstance(message, UserPromptMessage): message_text = f"{human_prompt} {content}" @@ -359,6 +336,40 @@ class GoogleLargeLanguageModel(LargeLanguageModel): return message_text + def _upload_file_content_to_google(self, message_content: PromptMessageContent) -> File: + key = f"{message_content.type.value}:{hash(message_content.data)}" + if redis_client.exists(key): + try: + return genai.get_file(redis_client.get(key).decode()) + except: + pass + with tempfile.NamedTemporaryFile(delete=False) as temp_file: + if message_content.base64_data: + file_content = base64.b64decode(message_content.base64_data) + temp_file.write(file_content) + else: + try: + response = requests.get(message_content.url) + response.raise_for_status() + temp_file.write(response.content) + except Exception as ex: + raise ValueError(f"Failed to fetch data from url {message_content.url}, {ex}") + temp_file.flush() + + file = genai.upload_file(path=temp_file.name, mime_type=message_content.mime_type) + while file.state.name == "PROCESSING": + time.sleep(5) + file = genai.get_file(file.name) + # google will delete your upload files in 2 days. + redis_client.setex(key, 47 * 60 * 60, file.name) + + try: + os.unlink(temp_file.name) + except PermissionError: + # windows may raise permission error + pass + return file + def _format_message_to_glm_content(self, message: PromptMessage) -> ContentType: """ Format a single message into glm.Content for Google API @@ -374,28 +385,8 @@ class GoogleLargeLanguageModel(LargeLanguageModel): for c in message.content: if c.type == PromptMessageContentType.TEXT: glm_content["parts"].append(to_part(c.data)) - elif c.type == PromptMessageContentType.IMAGE: - message_content = cast(ImagePromptMessageContent, c) - if message_content.data.startswith("data:"): - metadata, base64_data = c.data.split(",", 1) - mime_type = metadata.split(";", 1)[0].split(":")[1] - else: - # fetch image data from url - try: - image_content = requests.get(message_content.data).content - 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}") - blob = {"inline_data": {"mime_type": mime_type, "data": base64_data}} - glm_content["parts"].append(blob) - elif c.type == PromptMessageContentType.DOCUMENT: - message_content = cast(DocumentPromptMessageContent, c) - if message_content.mime_type not in GOOGLE_AVAILABLE_MIMETYPE: - raise ValueError(f"Unsupported mime type {message_content.mime_type}") - blob = {"inline_data": {"mime_type": message_content.mime_type, "data": message_content.data}} - glm_content["parts"].append(blob) + else: + glm_content["parts"].append(self._upload_file_content_to_google(c)) return glm_content elif isinstance(message, AssistantPromptMessage): diff --git a/api/core/model_runtime/model_providers/openai/llm/llm.py b/api/core/model_runtime/model_providers/openai/llm/llm.py index 07cb1e2d10..b73ce8752f 100644 --- a/api/core/model_runtime/model_providers/openai/llm/llm.py +++ b/api/core/model_runtime/model_providers/openai/llm/llm.py @@ -920,10 +920,12 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel): } sub_messages.append(sub_message_dict) elif isinstance(message_content, AudioPromptMessageContent): + data_split = message_content.data.split(";base64,") + base64_data = data_split[1] sub_message_dict = { "type": "input_audio", "input_audio": { - "data": message_content.data, + "data": base64_data, "format": message_content.format, }, } 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 26c090d30e..8e07d56f45 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 @@ -478,6 +478,10 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel): usage=usage, ) break + # handle the error here. for issue #11629 + if chunk_json.get("error") and chunk_json.get("choices") is None: + raise ValueError(chunk_json.get("error")) + if chunk_json: if u := chunk_json.get("usage"): usage = u diff --git a/api/core/model_runtime/model_providers/tongyi/llm/llm.py b/api/core/model_runtime/model_providers/tongyi/llm/llm.py index cde5d214d0..0c1f651881 100644 --- a/api/core/model_runtime/model_providers/tongyi/llm/llm.py +++ b/api/core/model_runtime/model_providers/tongyi/llm/llm.py @@ -434,9 +434,9 @@ class TongyiLargeLanguageModel(LargeLanguageModel): sub_messages.append(sub_message_dict) elif message_content.type == PromptMessageContentType.VIDEO: message_content = cast(VideoPromptMessageContent, message_content) - video_url = message_content.data - if message_content.data.startswith("data:"): - raise InvokeError("not support base64, please set MULTIMODAL_SEND_VIDEO_FORMAT to url") + video_url = message_content.url + if not video_url: + raise InvokeError("not support base64, please set MULTIMODAL_SEND_FORMAT to url") sub_message_dict = {"video": video_url} sub_messages.append(sub_message_dict) 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 cfe21e4b9f..1cffd902c7 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/client.py +++ b/api/core/model_runtime/model_providers/volcengine_maas/client.py @@ -1,4 +1,3 @@ -import re from collections.abc import Generator from typing import Optional, cast @@ -104,17 +103,16 @@ class ArkClientV3: if message_content.type == PromptMessageContentType.TEXT: content.append( ChatCompletionContentPartTextParam( - text=message_content.text, + text=message_content.data, 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( ChatCompletionContentPartImageParam( image_url=ImageURL( - url=image_data, + url=message_content.data, detail=message_content.detail.value, ), type="image_url", 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 index 266f1216f8..0c61e19f06 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/client.py +++ b/api/core/model_runtime/model_providers/volcengine_maas/legacy/client.py @@ -68,7 +68,12 @@ class MaaSClient(MaasService): content = [] for message_content in message.content: if message_content.type == PromptMessageContentType.TEXT: - raise ValueError("Content object type only support image_url") + content.append( + { + "type": "text", + "text": message_content.data, + } + ) 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) 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 1c776cec7e..9e19b7deda 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 @@ -132,6 +132,14 @@ class VolcengineMaaSLargeLanguageModel(LargeLanguageModel): messages_dict = [ArkClientV3.convert_prompt_message(m) for m in messages] for message in messages_dict: for key, value in message.items(): + # Ignore tokens for image type + if isinstance(value, list): + text = "" + for item in value: + if isinstance(item, dict) and item["type"] == "text": + text += item["text"] + + value = text num_tokens += self._get_num_tokens_by_gpt2(str(key)) num_tokens += self._get_num_tokens_by_gpt2(str(value)) 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 d8be14b024..f7698f9443 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 @@ -16,6 +16,14 @@ class ModelConfig(BaseModel): configs: dict[str, ModelConfig] = { + "Doubao-vision-pro-32k": ModelConfig( + properties=ModelProperties(context_size=32768, max_tokens=4096, mode=LLMMode.CHAT), + features=[ModelFeature.VISION], + ), + "Doubao-vision-lite-32k": ModelConfig( + properties=ModelProperties(context_size=32768, max_tokens=4096, mode=LLMMode.CHAT), + features=[ModelFeature.VISION], + ), "Doubao-pro-4k": ModelConfig( properties=ModelProperties(context_size=4096, max_tokens=4096, mode=LLMMode.CHAT), features=[ModelFeature.TOOL_CALL], 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 13e00da76f..57492b6d9f 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 @@ -118,6 +118,18 @@ model_credential_schema: type: select required: true options: + - label: + en_US: Doubao-vision-pro-32k + value: Doubao-vision-pro-32k + show_on: + - variable: __model_type + value: llm + - label: + en_US: Doubao-vision-lite-32k + value: Doubao-vision-lite-32k + show_on: + - variable: __model_type + value: llm - label: en_US: Doubao-pro-4k value: Doubao-pro-4k diff --git a/api/core/model_runtime/model_providers/x/llm/grok-2-1212.yaml b/api/core/model_runtime/model_providers/x/llm/grok-2-1212.yaml new file mode 100644 index 0000000000..24ea716a98 --- /dev/null +++ b/api/core/model_runtime/model_providers/x/llm/grok-2-1212.yaml @@ -0,0 +1,66 @@ +model: grok-2-1212 +label: + en_US: grok-2-1212 +model_type: llm +features: + - agent-thought + - tool-call + - multi-tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + label: + en_US: "Temperature" + zh_Hans: "采样温度" + type: float + default: 0.7 + min: 0.0 + max: 2.0 + precision: 1 + required: true + help: + en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." + zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" + + - name: top_p + label: + en_US: "Top P" + zh_Hans: "Top P" + type: float + default: 0.7 + min: 0.0 + max: 1.0 + precision: 1 + required: true + help: + en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." + zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" + + - name: frequency_penalty + use_template: frequency_penalty + label: + en_US: "Frequency Penalty" + zh_Hans: "频率惩罚" + type: float + default: 0 + min: 0 + max: 2.0 + precision: 1 + required: false + help: + en_US: "Number between 0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim." + zh_Hans: "介于0和2.0之间的数字。正值会根据新标记在文本中迄今为止的现有频率来惩罚它们，从而降低模型一字不差地重复同一句话的可能性。" + + - name: user + use_template: text + label: + en_US: "User" + zh_Hans: "用户" + type: string + required: false + help: + en_US: "Used to track and differentiate conversation requests from different users." + zh_Hans: "用于追踪和区分不同用户的对话请求。" diff --git a/api/core/model_runtime/model_providers/x/llm/grok-2-vision-1212.yaml b/api/core/model_runtime/model_providers/x/llm/grok-2-vision-1212.yaml new file mode 100644 index 0000000000..f224fa5757 --- /dev/null +++ b/api/core/model_runtime/model_providers/x/llm/grok-2-vision-1212.yaml @@ -0,0 +1,64 @@ +model: grok-2-vision-1212 +label: + en_US: grok-2-vision-1212 +model_type: llm +features: + - agent-thought + - vision +model_properties: + mode: chat + context_size: 8192 +parameter_rules: + - name: temperature + label: + en_US: "Temperature" + zh_Hans: "采样温度" + type: float + default: 0.7 + min: 0.0 + max: 2.0 + precision: 1 + required: true + help: + en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." + zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" + + - name: top_p + label: + en_US: "Top P" + zh_Hans: "Top P" + type: float + default: 0.7 + min: 0.0 + max: 1.0 + precision: 1 + required: true + help: + en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." + zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" + + - name: frequency_penalty + use_template: frequency_penalty + label: + en_US: "Frequency Penalty" + zh_Hans: "频率惩罚" + type: float + default: 0 + min: 0 + max: 2.0 + precision: 1 + required: false + help: + en_US: "Number between 0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim." + zh_Hans: "介于0和2.0之间的数字。正值会根据新标记在文本中迄今为止的现有频率来惩罚它们，从而降低模型一字不差地重复同一句话的可能性。" + + - name: user + use_template: text + label: + en_US: "User" + zh_Hans: "用户" + type: string + required: false + help: + en_US: "Used to track and differentiate conversation requests from different users." + zh_Hans: "用于追踪和区分不同用户的对话请求。" diff --git a/api/core/model_runtime/model_providers/x/llm/grok-beta.yaml b/api/core/model_runtime/model_providers/x/llm/grok-beta.yaml index bb71de2bad..7f722539d9 100644 --- a/api/core/model_runtime/model_providers/x/llm/grok-beta.yaml +++ b/api/core/model_runtime/model_providers/x/llm/grok-beta.yaml @@ -1,6 +1,6 @@ model: grok-beta label: - en_US: Grok Beta + en_US: grok-beta model_type: llm features: - agent-thought diff --git a/api/core/model_runtime/model_providers/x/llm/grok-vision-beta.yaml b/api/core/model_runtime/model_providers/x/llm/grok-vision-beta.yaml index 844f0520bc..1d81282534 100644 --- a/api/core/model_runtime/model_providers/x/llm/grok-vision-beta.yaml +++ b/api/core/model_runtime/model_providers/x/llm/grok-vision-beta.yaml @@ -1,6 +1,6 @@ model: grok-vision-beta label: - en_US: Grok Vision Beta + en_US: grok-vision-beta model_type: llm features: - agent-thought diff --git a/api/core/ops/langfuse_trace/langfuse_trace.py b/api/core/ops/langfuse_trace/langfuse_trace.py index 9bfd9f1dc8..29fdebd8fe 100644 --- a/api/core/ops/langfuse_trace/langfuse_trace.py +++ b/api/core/ops/langfuse_trace/langfuse_trace.py @@ -4,7 +4,7 @@ import os from datetime import datetime, timedelta from typing import Optional -from langfuse import Langfuse +from langfuse import Langfuse # type: ignore from core.ops.base_trace_instance import BaseTraceInstance from core.ops.entities.config_entity import LangfuseConfig @@ -82,8 +82,6 @@ class LangFuseDataTrace(BaseTraceInstance): metadata=metadata, session_id=trace_info.conversation_id, tags=["message", "workflow"], - created_at=trace_info.start_time, - updated_at=trace_info.end_time, ) self.add_trace(langfuse_trace_data=trace_data) workflow_span_data = LangfuseSpan( @@ -242,11 +240,13 @@ class LangFuseDataTrace(BaseTraceInstance): file_list = trace_info.file_list metadata = trace_info.metadata message_data = trace_info.message_data + if message_data is None: + return message_id = message_data.id user_id = message_data.from_account_id if message_data.from_end_user_id: - end_user_data: EndUser = ( + end_user_data: Optional[EndUser] = ( db.session.query(EndUser).filter(EndUser.id == message_data.from_end_user_id).first() ) if end_user_data is not None: @@ -303,6 +303,8 @@ class LangFuseDataTrace(BaseTraceInstance): self.add_generation(langfuse_generation_data) def moderation_trace(self, trace_info: ModerationTraceInfo): + if trace_info.message_data is None: + return span_data = LangfuseSpan( name=TraceTaskName.MODERATION_TRACE.value, input=trace_info.inputs, @@ -322,9 +324,11 @@ class LangFuseDataTrace(BaseTraceInstance): def suggested_question_trace(self, trace_info: SuggestedQuestionTraceInfo): message_data = trace_info.message_data + if message_data is None: + return generation_usage = GenerationUsage( total=len(str(trace_info.suggested_question)), - input=len(trace_info.inputs), + input=len(trace_info.inputs) if trace_info.inputs else 0, output=len(trace_info.suggested_question), unit=UnitEnum.CHARACTERS, ) @@ -345,6 +349,8 @@ class LangFuseDataTrace(BaseTraceInstance): self.add_generation(langfuse_generation_data=generation_data) def dataset_retrieval_trace(self, trace_info: DatasetRetrievalTraceInfo): + if trace_info.message_data is None: + return dataset_retrieval_span_data = LangfuseSpan( name=TraceTaskName.DATASET_RETRIEVAL_TRACE.value, input=trace_info.inputs, diff --git a/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py b/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py index cccc2c4abc..aa2bb01842 100644 --- a/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py +++ b/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py @@ -424,7 +424,7 @@ def default_vector_search_query( ) -> dict: if filters is not None: filter_type = "post_filter" if filter_type is None else filter_type - if not isinstance(filter, list): + if not isinstance(filters, list): raise RuntimeError(f"unexpected filter with {type(filters)}") final_ext = {"lvector": {}} if min_score != "0.0": diff --git a/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py b/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py index 1147e35ce8..39ab6ea71e 100644 --- a/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py +++ b/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py @@ -37,8 +37,6 @@ class TiDBVectorConfig(BaseModel): raise ValueError("config TIDB_VECTOR_PORT is required") if not values["user"]: raise ValueError("config TIDB_VECTOR_USER is required") - if not values["password"]: - raise ValueError("config TIDB_VECTOR_PASSWORD is required") if not values["database"]: raise ValueError("config TIDB_VECTOR_DATABASE is required") if not values["program_name"]: diff --git a/api/core/tools/README_JP.md b/api/core/tools/README_JA.md similarity index 100% rename from api/core/tools/README_JP.md rename to api/core/tools/README_JA.md diff --git a/api/core/tools/provider/builtin/jina/tools/jina_reader.py b/api/core/tools/provider/builtin/jina/tools/jina_reader.py index 0dd55c6529..756b727224 100644 --- a/api/core/tools/provider/builtin/jina/tools/jina_reader.py +++ b/api/core/tools/provider/builtin/jina/tools/jina_reader.py @@ -43,6 +43,13 @@ class JinaReaderTool(BuiltinTool): if wait_for_selector is not None and wait_for_selector != "": headers["X-Wait-For-Selector"] = wait_for_selector + remove_selector = tool_parameters.get("remove_selector") + if remove_selector is not None and remove_selector != "": + headers["X-Remove-Selector"] = remove_selector + + if tool_parameters.get("retain_images", False): + headers["X-Retain-Images"] = "true" + if tool_parameters.get("image_caption", False): headers["X-With-Generated-Alt"] = "true" @@ -59,6 +66,12 @@ class JinaReaderTool(BuiltinTool): if tool_parameters.get("no_cache", False): headers["X-No-Cache"] = "true" + if tool_parameters.get("with_iframe", False): + headers["X-With-Iframe"] = "true" + + if tool_parameters.get("with_shadow_dom", False): + headers["X-With-Shadow-Dom"] = "true" + max_retries = tool_parameters.get("max_retries", 3) response = ssrf_proxy.get( str(URL(self._jina_reader_endpoint + url)), diff --git a/api/core/tools/provider/builtin/jina/tools/jina_reader.yaml b/api/core/tools/provider/builtin/jina/tools/jina_reader.yaml index 589bc3433d..012a8c7688 100644 --- a/api/core/tools/provider/builtin/jina/tools/jina_reader.yaml +++ b/api/core/tools/provider/builtin/jina/tools/jina_reader.yaml @@ -67,6 +67,33 @@ parameters: pt_BR: css selector para aguardar elementos específicos llm_description: css selector of the target element to wait for form: form + - name: remove_selector + type: string + required: false + label: + en_US: Excluded Selector + zh_Hans: 排除选择器 + pt_BR: Seletor Excluído + human_description: + en_US: css selector for remove for specific elements + zh_Hans: css 选择器用于排除特定元素 + pt_BR: seletor CSS para remover elementos específicos + llm_description: css selector of the target element to remove for + form: form + - name: retain_images + type: boolean + required: false + default: false + label: + en_US: Remove All Images + zh_Hans: 删除所有图片 + pt_BR: Remover todas as imagens + human_description: + en_US: Removes all images from the response. + zh_Hans: 从响应中删除所有图片。 + pt_BR: Remove todas as imagens da resposta. + llm_description: Remove all images + form: form - name: image_caption type: boolean required: false @@ -136,6 +163,34 @@ parameters: pt_BR: Ignorar o cache llm_description: bypass the cache form: form + - name: with_iframe + type: boolean + required: false + default: false + label: + en_US: Enable iframe extraction + zh_Hans: 启用 iframe 提取 + pt_BR: Habilitar extração de iframe + human_description: + en_US: Extract and process content of all embedded iframes in the DOM tree. + zh_Hans: 提取并处理 DOM 树中所有嵌入 iframe 的内容。 + pt_BR: Extrair e processar o conteúdo de todos os iframes incorporados na árvore DOM. + llm_description: Extract content from embedded iframes + form: form + - name: with_shadow_dom + type: boolean + required: false + default: false + label: + en_US: Enable Shadow DOM extraction + zh_Hans: 启用 Shadow DOM 提取 + pt_BR: Habilitar extração de Shadow DOM + human_description: + en_US: Traverse all Shadow DOM roots in the document and extract content. + zh_Hans: 遍历文档中所有 Shadow DOM 根并提取内容。 + pt_BR: Percorra todas as raízes do Shadow DOM no documento e extraia o conteúdo. + llm_description: Extract content from Shadow DOM roots + form: form - name: summary type: boolean required: false diff --git a/api/core/workflow/graph_engine/graph_engine.py b/api/core/workflow/graph_engine/graph_engine.py index 49af567f31..5d400cd438 100644 --- a/api/core/workflow/graph_engine/graph_engine.py +++ b/api/core/workflow/graph_engine/graph_engine.py @@ -10,6 +10,7 @@ from typing import Any, Optional, cast from flask import Flask, current_app +from configs import dify_config from core.app.apps.base_app_queue_manager import GenerateTaskStoppedError from core.app.entities.app_invoke_entities import InvokeFrom from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult @@ -54,7 +55,12 @@ logger = logging.getLogger(__name__) class GraphEngineThreadPool(ThreadPoolExecutor): def __init__( - self, max_workers=None, thread_name_prefix="", initializer=None, initargs=(), max_submit_count=100 + self, + max_workers=None, + thread_name_prefix="", + initializer=None, + initargs=(), + max_submit_count=dify_config.MAX_SUBMIT_COUNT, ) -> None: super().__init__(max_workers, thread_name_prefix, initializer, initargs) self.max_submit_count = max_submit_count @@ -94,7 +100,7 @@ class GraphEngine: max_execution_time: int, thread_pool_id: Optional[str] = None, ) -> None: - thread_pool_max_submit_count = 100 + thread_pool_max_submit_count = dify_config.MAX_SUBMIT_COUNT thread_pool_max_workers = 10 # init thread pool diff --git a/api/core/workflow/nodes/base/node.py b/api/core/workflow/nodes/base/node.py index fd33de1253..b799e74266 100644 --- a/api/core/workflow/nodes/base/node.py +++ b/api/core/workflow/nodes/base/node.py @@ -72,7 +72,11 @@ class BaseNode(Generic[GenericNodeData]): result = self._run() except Exception as e: logger.exception(f"Node {self.node_id} failed to run") - result = NodeRunResult(status=WorkflowNodeExecutionStatus.FAILED, error=str(e), error_type="SystemError") + result = NodeRunResult( + status=WorkflowNodeExecutionStatus.FAILED, + error=str(e), + error_type="WorkflowNodeError", + ) if isinstance(result, NodeRunResult): yield RunCompletedEvent(run_result=result) diff --git a/api/core/workflow/nodes/http_request/executor.py b/api/core/workflow/nodes/http_request/executor.py index b72e20daaf..92f190091b 100644 --- a/api/core/workflow/nodes/http_request/executor.py +++ b/api/core/workflow/nodes/http_request/executor.py @@ -37,7 +37,7 @@ BODY_TYPE_TO_CONTENT_TYPE = { class Executor: method: Literal["get", "head", "post", "put", "delete", "patch"] url: str - params: Mapping[str, str] | None + params: list[tuple[str, str]] | None content: str | bytes | None data: Mapping[str, Any] | None files: Mapping[str, tuple[str | None, bytes, str]] | None @@ -69,7 +69,7 @@ class Executor: self.method = node_data.method self.auth = node_data.authorization self.timeout = timeout - self.params = {} + self.params = [] self.headers = {} self.content = None self.files = None @@ -92,14 +92,48 @@ class Executor: self.url = self.variable_pool.convert_template(self.node_data.url).text def _init_params(self): - params = _plain_text_to_dict(self.node_data.params) - for key in params: - params[key] = self.variable_pool.convert_template(params[key]).text - self.params = params + """ + Almost same as _init_headers(), difference: + 1. response a list tuple to support same key, like 'aa=1&aa=2' + 2. param value may have '\n', we need to splitlines then extract the variable value. + """ + result = [] + for line in self.node_data.params.splitlines(): + if not (line := line.strip()): + continue + + key, *value = line.split(":", 1) + if not (key := key.strip()): + continue + + value = value[0].strip() if value else "" + result.append( + (self.variable_pool.convert_template(key).text, self.variable_pool.convert_template(value).text) + ) + + self.params = result def _init_headers(self): + """ + Convert the header string of frontend to a dictionary. + + Each line in the header string represents a key-value pair. + Keys and values are separated by ':'. + Empty values are allowed. + + Examples: + 'aa:bb\n cc:dd' -> {'aa': 'bb', 'cc': 'dd'} + 'aa:\n cc:dd\n' -> {'aa': '', 'cc': 'dd'} + 'aa\n cc : dd' -> {'aa': '', 'cc': 'dd'} + + """ headers = self.variable_pool.convert_template(self.node_data.headers).text - self.headers = _plain_text_to_dict(headers) + self.headers = { + key.strip(): (value[0].strip() if value else "") + for line in headers.splitlines() + if line.strip() + for key, *value in [line.split(":", 1)] + } def _init_body(self): body = self.node_data.body @@ -292,33 +326,6 @@ class Executor: return raw -def _plain_text_to_dict(text: str, /) -> dict[str, str]: - """ - Convert a string of key-value pairs to a dictionary. - - Each line in the input string represents a key-value pair. - Keys and values are separated by ':'. - Empty values are allowed. - - Examples: - 'aa:bb\n cc:dd' -> {'aa': 'bb', 'cc': 'dd'} - 'aa:\n cc:dd\n' -> {'aa': '', 'cc': 'dd'} - 'aa\n cc : dd' -> {'aa': '', 'cc': 'dd'} - - Args: - convert_text (str): The input string to convert. - - Returns: - dict[str, str]: A dictionary of key-value pairs. - """ - return { - key.strip(): (value[0].strip() if value else "") - for line in text.splitlines() - if line.strip() - for key, *value in [line.split(":", 1)] - } - - def _generate_random_string(n: int) -> str: """ Generate a random string of lowercase ASCII letters. diff --git a/api/core/workflow/nodes/iteration/iteration_node.py b/api/core/workflow/nodes/iteration/iteration_node.py index cbabe7a3c5..d935228c16 100644 --- a/api/core/workflow/nodes/iteration/iteration_node.py +++ b/api/core/workflow/nodes/iteration/iteration_node.py @@ -163,7 +163,9 @@ class IterationNode(BaseNode[IterationNodeData]): if self.node_data.is_parallel: futures: list[Future] = [] q: Queue = Queue() - thread_pool = GraphEngineThreadPool(max_workers=self.node_data.parallel_nums, max_submit_count=100) + thread_pool = GraphEngineThreadPool( + max_workers=self.node_data.parallel_nums, max_submit_count=dify_config.MAX_SUBMIT_COUNT + ) for index, item in enumerate(iterator_list_value): future: Future = thread_pool.submit( self._run_single_iter_parallel, diff --git a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py index 8c5a9b5ecb..4f9e415f4b 100644 --- a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py +++ b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py @@ -70,7 +70,20 @@ class KnowledgeRetrievalNode(BaseNode[KnowledgeRetrievalNodeData]): except KnowledgeRetrievalNodeError as e: logger.warning("Error when running knowledge retrieval node") - return NodeRunResult(status=WorkflowNodeExecutionStatus.FAILED, inputs=variables, error=str(e)) + return NodeRunResult( + status=WorkflowNodeExecutionStatus.FAILED, + inputs=variables, + error=str(e), + error_type=type(e).__name__, + ) + # Temporary handle all exceptions from DatasetRetrieval class here. + except Exception as e: + return NodeRunResult( + status=WorkflowNodeExecutionStatus.FAILED, + inputs=variables, + error=str(e), + error_type=type(e).__name__, + ) def _fetch_dataset_retriever(self, node_data: KnowledgeRetrievalNodeData, query: str) -> list[dict[str, Any]]: available_datasets = [] @@ -160,18 +173,18 @@ class KnowledgeRetrievalNode(BaseNode[KnowledgeRetrievalNodeData]): reranking_model = None weights = None all_documents = dataset_retrieval.multiple_retrieve( - self.app_id, - self.tenant_id, - self.user_id, - self.user_from.value, - available_datasets, - query, - node_data.multiple_retrieval_config.top_k, - node_data.multiple_retrieval_config.score_threshold, - node_data.multiple_retrieval_config.reranking_mode, - reranking_model, - weights, - node_data.multiple_retrieval_config.reranking_enable, + app_id=self.app_id, + tenant_id=self.tenant_id, + user_id=self.user_id, + user_from=self.user_from.value, + available_datasets=available_datasets, + query=query, + top_k=node_data.multiple_retrieval_config.top_k, + score_threshold=node_data.multiple_retrieval_config.score_threshold, + reranking_mode=node_data.multiple_retrieval_config.reranking_mode, + reranking_model=reranking_model, + weights=weights, + reranking_enable=node_data.multiple_retrieval_config.reranking_enable, ) dify_documents = [item for item in all_documents if item.provider == "dify"] external_documents = [item for item in all_documents if item.provider == "external"] diff --git a/api/core/workflow/nodes/tool/tool_node.py b/api/core/workflow/nodes/tool/tool_node.py index 9b901c026e..3b56f94876 100644 --- a/api/core/workflow/nodes/tool/tool_node.py +++ b/api/core/workflow/nodes/tool/tool_node.py @@ -92,6 +92,16 @@ class ToolNode(BaseNode[ToolNodeData]): error=f"Failed to invoke tool: {str(e)}", error_type=type(e).__name__, ) + except Exception as e: + return NodeRunResult( + status=WorkflowNodeExecutionStatus.FAILED, + inputs=parameters_for_log, + metadata={ + NodeRunMetadataKey.TOOL_INFO: tool_info, + }, + error=f"Failed to invoke tool: {str(e)}", + error_type="UnknownError", + ) # convert tool messages plain_text, files, json = self._convert_tool_messages(messages) diff --git a/api/extensions/ext_logging.py b/api/extensions/ext_logging.py index 738d5c7bd2..9fc29b4eb1 100644 --- a/api/extensions/ext_logging.py +++ b/api/extensions/ext_logging.py @@ -1,8 +1,11 @@ import logging import os import sys +import uuid from logging.handlers import RotatingFileHandler +import flask + from configs import dify_config from dify_app import DifyApp @@ -22,11 +25,14 @@ def init_app(app: DifyApp): ) # Always add StreamHandler to log to console - log_handlers.append(logging.StreamHandler(sys.stdout)) + sh = logging.StreamHandler(sys.stdout) + sh.addFilter(RequestIdFilter()) + log_formatter = logging.Formatter(fmt=dify_config.LOG_FORMAT) + sh.setFormatter(log_formatter) + log_handlers.append(sh) logging.basicConfig( level=dify_config.LOG_LEVEL, - format=dify_config.LOG_FORMAT, datefmt=dify_config.LOG_DATEFORMAT, handlers=log_handlers, force=True, @@ -44,3 +50,22 @@ def init_app(app: DifyApp): for handler in logging.root.handlers: handler.formatter.converter = time_converter + + +def get_request_id(): + if getattr(flask.g, "request_id", None): + return flask.g.request_id + + new_uuid = uuid.uuid4().hex[:10] + flask.g.request_id = new_uuid + + return new_uuid + + +class RequestIdFilter(logging.Filter): + # This is a logging filter that makes the request ID available for use in + # the logging format. Note that we're checking if we're in a request + # context, as we may want to log things before Flask is fully loaded. + def filter(self, record): + record.req_id = get_request_id() if flask.has_request_context() else "" + return True diff --git a/api/extensions/ext_storage.py b/api/extensions/ext_storage.py index 4b66f3801e..42422263c4 100644 --- a/api/extensions/ext_storage.py +++ b/api/extensions/ext_storage.py @@ -1,11 +1,10 @@ import logging -from collections.abc import Callable, Generator, Mapping +from collections.abc import Callable, Generator from typing import Union from flask import Flask from configs import dify_config -from configs.middleware.storage.opendal_storage_config import OpenDALScheme from dify_app import DifyApp from extensions.storage.base_storage import BaseStorage from extensions.storage.storage_type import StorageType @@ -23,21 +22,17 @@ class Storage: def get_storage_factory(storage_type: str) -> Callable[[], BaseStorage]: match storage_type: case StorageType.S3: - from extensions.storage.opendal_storage import OpenDALStorage + from extensions.storage.aws_s3_storage import AwsS3Storage - kwargs = _load_s3_storage_kwargs() - return lambda: OpenDALStorage(scheme=OpenDALScheme.S3, **kwargs) + return AwsS3Storage case StorageType.OPENDAL: from extensions.storage.opendal_storage import OpenDALStorage - scheme = OpenDALScheme(dify_config.STORAGE_OPENDAL_SCHEME) - kwargs = _load_opendal_storage_kwargs(scheme) - return lambda: OpenDALStorage(scheme=scheme, **kwargs) + return lambda: OpenDALStorage(dify_config.OPENDAL_SCHEME) case StorageType.LOCAL: from extensions.storage.opendal_storage import OpenDALStorage - kwargs = _load_local_storage_kwargs() - return lambda: OpenDALStorage(scheme=OpenDALScheme.FS, **kwargs) + return lambda: OpenDALStorage(scheme="fs", root=dify_config.STORAGE_LOCAL_PATH) case StorageType.AZURE_BLOB: from extensions.storage.azure_blob_storage import AzureBlobStorage @@ -75,7 +70,7 @@ class Storage: return SupabaseStorage case _: - raise ValueError(f"Unsupported storage type {storage_type}") + raise ValueError(f"unsupported storage type {storage_type}") def save(self, filename, data): try: @@ -130,81 +125,6 @@ class Storage: raise e -def _load_s3_storage_kwargs() -> Mapping[str, str]: - """ - Load the kwargs for S3 storage based on dify_config. - Handles special cases like AWS managed IAM and R2. - """ - kwargs = { - "root": "/", - "bucket": dify_config.S3_BUCKET_NAME, - "endpoint": dify_config.S3_ENDPOINT, - "access_key_id": dify_config.S3_ACCESS_KEY, - "secret_access_key": dify_config.S3_SECRET_KEY, - "region": dify_config.S3_REGION, - } - kwargs = {k: v for k, v in kwargs.items() if isinstance(v, str)} - - # For AWS managed IAM - if dify_config.S3_USE_AWS_MANAGED_IAM: - from extensions.storage.opendal_storage import S3_SSE_WITH_AWS_MANAGED_IAM_KWARGS - - logger.debug("Using AWS managed IAM role for S3") - kwargs = {**kwargs, **{k: v for k, v in S3_SSE_WITH_AWS_MANAGED_IAM_KWARGS.items() if k not in kwargs}} - - # For Cloudflare R2 - if kwargs.get("endpoint"): - from extensions.storage.opendal_storage import S3_R2_COMPATIBLE_KWARGS, is_r2_endpoint - - if is_r2_endpoint(kwargs["endpoint"]): - logger.debug("Using R2 for OpenDAL S3") - kwargs = {**kwargs, **{k: v for k, v in S3_R2_COMPATIBLE_KWARGS.items() if k not in kwargs}} - - return kwargs - - -def _load_local_storage_kwargs() -> Mapping[str, str]: - """ - Load the kwargs for local storage based on dify_config. - """ - return { - "root": dify_config.STORAGE_LOCAL_PATH, - } - - -def _load_opendal_storage_kwargs(scheme: OpenDALScheme) -> Mapping[str, str]: - """ - Load the kwargs for OpenDAL storage based on the given scheme. - """ - match scheme: - case OpenDALScheme.FS: - kwargs = { - "root": dify_config.OPENDAL_FS_ROOT, - } - case OpenDALScheme.S3: - # Load OpenDAL S3-related configs - kwargs = { - "root": dify_config.OPENDAL_S3_ROOT, - "bucket": dify_config.OPENDAL_S3_BUCKET, - "endpoint": dify_config.OPENDAL_S3_ENDPOINT, - "access_key_id": dify_config.OPENDAL_S3_ACCESS_KEY_ID, - "secret_access_key": dify_config.OPENDAL_S3_SECRET_ACCESS_KEY, - "region": dify_config.OPENDAL_S3_REGION, - } - - # For Cloudflare R2 - if kwargs.get("endpoint"): - from extensions.storage.opendal_storage import S3_R2_COMPATIBLE_KWARGS, is_r2_endpoint - - if is_r2_endpoint(kwargs["endpoint"]): - logger.debug("Using R2 for OpenDAL S3") - kwargs = {**kwargs, **{k: v for k, v in S3_R2_COMPATIBLE_KWARGS.items() if k not in kwargs}} - case _: - logger.warning(f"Unrecognized OpenDAL scheme: {scheme}, will fall back to default.") - kwargs = {} - return kwargs - - storage = Storage() diff --git a/api/extensions/storage/opendal_storage.py b/api/extensions/storage/opendal_storage.py index dc71839c70..381007199a 100644 --- a/api/extensions/storage/opendal_storage.py +++ b/api/extensions/storage/opendal_storage.py @@ -1,46 +1,57 @@ +import logging +import os from collections.abc import Generator from pathlib import Path -from urllib.parse import urlparse import opendal +from dotenv import dotenv_values -from configs.middleware.storage.opendal_storage_config import OpenDALScheme from extensions.storage.base_storage import BaseStorage -S3_R2_HOSTNAME = "r2.cloudflarestorage.com" -S3_R2_COMPATIBLE_KWARGS = { - "delete_max_size": "700", - "disable_stat_with_override": "true", - "region": "auto", -} -S3_SSE_WITH_AWS_MANAGED_IAM_KWARGS = { - "server_side_encryption": "aws:kms", -} +logger = logging.getLogger(__name__) -def is_r2_endpoint(endpoint: str) -> bool: - if not endpoint: - return False +def _get_opendal_kwargs(*, scheme: str, env_file_path: str = ".env", prefix: str = "OPENDAL_"): + kwargs = {} + config_prefix = prefix + scheme.upper() + "_" + for key, value in os.environ.items(): + if key.startswith(config_prefix): + kwargs[key[len(config_prefix) :].lower()] = value - parsed_url = urlparse(endpoint) - return bool(parsed_url.hostname and parsed_url.hostname.endswith(S3_R2_HOSTNAME)) + file_env_vars = dotenv_values(env_file_path) + for key, value in file_env_vars.items(): + if key.startswith(config_prefix) and key[len(config_prefix) :].lower() not in kwargs and value: + kwargs[key[len(config_prefix) :].lower()] = value + + return kwargs class OpenDALStorage(BaseStorage): - def __init__(self, scheme: OpenDALScheme, **kwargs): - if scheme == OpenDALScheme.FS: - Path(kwargs["root"]).mkdir(parents=True, exist_ok=True) + def __init__(self, scheme: str, **kwargs): + kwargs = kwargs or _get_opendal_kwargs(scheme=scheme) + if scheme == "fs": + root = kwargs.get("root", "storage") + Path(root).mkdir(parents=True, exist_ok=True) + + # self.op = opendal.Operator(scheme=scheme, **kwargs) self.op = opendal.Operator(scheme=scheme, **kwargs) + logger.debug(f"opendal operator created with scheme {scheme}") + retry_layer = opendal.layers.RetryLayer(max_times=3, factor=2.0, jitter=True) + self.op = self.op.layer(retry_layer) + logger.debug("added retry layer to opendal operator") def save(self, filename: str, data: bytes) -> None: self.op.write(path=filename, bs=data) + logger.debug(f"file {filename} saved") def load_once(self, filename: str) -> bytes: if not self.exists(filename): raise FileNotFoundError("File not found") - return self.op.read(path=filename) + content = self.op.read(path=filename) + logger.debug(f"file {filename} loaded") + return content def load_stream(self, filename: str) -> Generator: if not self.exists(filename): @@ -50,6 +61,7 @@ class OpenDALStorage(BaseStorage): file = self.op.open(path=filename, mode="rb") while chunk := file.read(batch_size): yield chunk + logger.debug(f"file {filename} loaded as stream") def download(self, filename: str, target_filepath: str): if not self.exists(filename): @@ -57,16 +69,22 @@ class OpenDALStorage(BaseStorage): with Path(target_filepath).open("wb") as f: f.write(self.op.read(path=filename)) + logger.debug(f"file {filename} downloaded to {target_filepath}") def exists(self, filename: str) -> bool: # FIXME this is a workaround for opendal python-binding do not have a exists method and no better # error handler here when opendal python-binding has a exists method, we should use it # more https://github.com/apache/opendal/blob/main/bindings/python/src/operator.rs try: - return self.op.stat(path=filename).mode.is_file() - except Exception as e: + res = self.op.stat(path=filename).mode.is_file() + logger.debug(f"file {filename} checked") + return res + except Exception: return False def delete(self, filename: str): if self.exists(filename): self.op.delete(path=filename) + logger.debug(f"file {filename} deleted") + return + logger.debug(f"file {filename} not found, skip delete") diff --git a/api/libs/helper.py b/api/libs/helper.py index 7652d73c8b..026ded3506 100644 --- a/api/libs/helper.py +++ b/api/libs/helper.py @@ -9,11 +9,11 @@ import uuid from collections.abc import Generator, Mapping from datetime import datetime from hashlib import sha256 -from typing import Any, Optional, Union +from typing import Any, Optional, Union, cast from zoneinfo import available_timezones from flask import Response, stream_with_context -from flask_restful import fields +from flask_restful import fields # type: ignore from configs import dify_config from core.app.features.rate_limiting.rate_limit import RateLimitGenerator @@ -168,11 +168,11 @@ def generate_string(n): def extract_remote_ip(request) -> str: if request.headers.get("CF-Connecting-IP"): - return request.headers.get("Cf-Connecting-Ip") + return cast(str, request.headers.get("Cf-Connecting-Ip")) elif request.headers.getlist("X-Forwarded-For"): - return request.headers.getlist("X-Forwarded-For")[0] + return cast(str, request.headers.getlist("X-Forwarded-For")[0]) else: - return request.remote_addr + return cast(str, request.remote_addr) def generate_text_hash(text: str) -> str: @@ -221,12 +221,14 @@ class TokenManager: token_data.update(additional_data) expiry_minutes = dify_config.model_dump().get(f"{token_type.upper()}_TOKEN_EXPIRY_MINUTES") + if expiry_minutes is None: + raise ValueError(f"Expiry minutes for {token_type} token is not set") token_key = cls._get_token_key(token, token_type) expiry_time = int(expiry_minutes * 60) redis_client.setex(token_key, expiry_time, json.dumps(token_data)) if account_id: - cls._set_current_token_for_account(account.id, token, token_type, expiry_minutes) + cls._set_current_token_for_account(account_id, token, token_type, expiry_minutes) return token diff --git a/api/models/workflow.py b/api/models/workflow.py index 0ba99739d3..cd45223975 100644 --- a/api/models/workflow.py +++ b/api/models/workflow.py @@ -225,8 +225,10 @@ class Workflow(db.Model): from models.tools import WorkflowToolProvider return ( - db.session.query(WorkflowToolProvider).filter(WorkflowToolProvider.app_id == self.app_id).first() - is not None + db.session.query(WorkflowToolProvider) + .filter(WorkflowToolProvider.tenant_id == self.tenant_id, WorkflowToolProvider.app_id == self.app_id) + .count() + > 0 ) @property diff --git a/api/poetry.lock b/api/poetry.lock index 2cdd07202c..35fda9b36f 100644 --- a/api/poetry.lock +++ b/api/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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0 count = int(count) + 1 - redis_client.setex(key, 60 * 60 * 24, count) + redis_client.setex(key, dify_config.LOGIN_LOCKOUT_DURATION, count) @staticmethod def is_login_error_rate_limit(email: str) -> bool: diff --git a/api/services/recommend_app/database/database_retrieval.py b/api/services/recommend_app/database/database_retrieval.py index 995d3755bb..3295516cce 100644 --- a/api/services/recommend_app/database/database_retrieval.py +++ b/api/services/recommend_app/database/database_retrieval.py @@ -57,13 +57,7 @@ class DatabaseRecommendAppRetrieval(RecommendAppRetrievalBase): recommended_app_result = { "id": recommended_app.id, - "app": { - "id": app.id, - "name": app.name, - "mode": app.mode, - "icon": app.icon, - "icon_background": app.icon_background, - }, + "app": recommended_app.app, "app_id": recommended_app.app_id, "description": site.description, "copyright": site.copyright, diff --git a/api/tasks/external_document_indexing_task.py b/api/tasks/external_document_indexing_task.py index 69f3072e2d..a45b3030bf 100644 --- a/api/tasks/external_document_indexing_task.py +++ b/api/tasks/external_document_indexing_task.py @@ -3,7 +3,7 @@ import logging import time import click -from celery import shared_task +from celery import shared_task # type: ignore from core.indexing_runner import DocumentIsPausedError from extensions.ext_database import db @@ -68,11 +68,9 @@ def external_document_indexing_task( settings = ExternalDatasetService.get_external_knowledge_api_settings( json.loads(external_knowledge_api.settings) ) - # assemble headers - headers = ExternalDatasetService.assembling_headers(settings.authorization, settings.headers) # do http request - response = ExternalDatasetService.process_external_api(settings, headers, process_parameter, files) + response = ExternalDatasetService.process_external_api(settings, files) job_id = response.json().get("job_id") if job_id: # save job_id to dataset diff --git a/api/tests/integration_tests/model_runtime/__mock/google.py b/api/tests/integration_tests/model_runtime/__mock/google.py index 402bd9c2c2..5ea86baa83 100644 --- a/api/tests/integration_tests/model_runtime/__mock/google.py +++ b/api/tests/integration_tests/model_runtime/__mock/google.py @@ -1,4 +1,5 @@ from collections.abc import Generator +from unittest.mock import MagicMock import google.generativeai.types.generation_types as generation_config_types import pytest @@ -6,11 +7,10 @@ from _pytest.monkeypatch import MonkeyPatch from google.ai import generativelanguage as glm from google.ai.generativelanguage_v1beta.types import content as gag_content from google.generativeai import GenerativeModel -from google.generativeai.client import _ClientManager, configure from google.generativeai.types import GenerateContentResponse, content_types, safety_types from google.generativeai.types.generation_types import BaseGenerateContentResponse -current_api_key = "" +from extensions import ext_redis class MockGoogleResponseClass: @@ -57,11 +57,6 @@ class MockGoogleClass: stream: bool = False, **kwargs, ) -> GenerateContentResponse: - global current_api_key - - if len(current_api_key) < 16: - raise Exception("Invalid API key") - if stream: return MockGoogleClass.generate_content_stream() @@ -75,33 +70,29 @@ class MockGoogleClass: def generative_response_candidates(self) -> list[MockGoogleResponseCandidateClass]: return [MockGoogleResponseCandidateClass()] - def make_client(self: _ClientManager, name: str): - global current_api_key - if name.endswith("_async"): - name = name.split("_")[0] - cls = getattr(glm, name.title() + "ServiceAsyncClient") - else: - cls = getattr(glm, name.title() + "ServiceClient") +def mock_configure(api_key: str): + if len(api_key) < 16: + raise Exception("Invalid API key") - # Attempt to configure using defaults. - if not self.client_config: - configure() - client_options = self.client_config.get("client_options", None) - if client_options: - current_api_key = client_options.api_key +class MockFileState: + def __init__(self): + self.name = "FINISHED" - def nop(self, *args, **kwargs): - pass - original_init = cls.__init__ - cls.__init__ = nop - client: glm.GenerativeServiceClient = cls(**self.client_config) - cls.__init__ = original_init +class MockGoogleFile: + def __init__(self, name: str = "mock_file_name"): + self.name = name + self.state = MockFileState() - if not self.default_metadata: - return client + +def mock_get_file(name: str) -> MockGoogleFile: + return MockGoogleFile(name) + + +def mock_upload_file(path: str, mime_type: str) -> MockGoogleFile: + return MockGoogleFile() @pytest.fixture @@ -109,8 +100,17 @@ def setup_google_mock(request, monkeypatch: MonkeyPatch): monkeypatch.setattr(BaseGenerateContentResponse, "text", MockGoogleClass.generative_response_text) monkeypatch.setattr(BaseGenerateContentResponse, "candidates", MockGoogleClass.generative_response_candidates) monkeypatch.setattr(GenerativeModel, "generate_content", MockGoogleClass.generate_content) - monkeypatch.setattr(_ClientManager, "make_client", MockGoogleClass.make_client) + monkeypatch.setattr("google.generativeai.configure", mock_configure) + monkeypatch.setattr("google.generativeai.get_file", mock_get_file) + monkeypatch.setattr("google.generativeai.upload_file", mock_upload_file) yield monkeypatch.undo() + + +@pytest.fixture +def setup_mock_redis() -> None: + ext_redis.redis_client.get = MagicMock(return_value=None) + ext_redis.redis_client.setex = MagicMock(return_value=None) + ext_redis.redis_client.exists = MagicMock(return_value=True) 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 8f50ebf7a6..216c50a182 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 @@ -199,7 +199,9 @@ def test_invoke_chat_model_with_vision(setup_openai_mock): data="Hello World!", ), ImagePromptMessageContent( - 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" 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", ), ] ), 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 2877fa1507..65357be658 100644 --- a/api/tests/integration_tests/model_runtime/google/test_llm.py +++ b/api/tests/integration_tests/model_runtime/google/test_llm.py @@ -13,7 +13,7 @@ from core.model_runtime.entities.message_entities import ( ) from core.model_runtime.errors.validate import CredentialsValidateFailedError from core.model_runtime.model_providers.google.llm.llm import GoogleLargeLanguageModel -from tests.integration_tests.model_runtime.__mock.google import setup_google_mock +from tests.integration_tests.model_runtime.__mock.google import setup_google_mock, setup_mock_redis @pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True) @@ -95,7 +95,7 @@ def test_invoke_stream_model(setup_google_mock): @pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True) -def test_invoke_chat_model_with_vision(setup_google_mock): +def test_invoke_chat_model_with_vision(setup_google_mock, setup_mock_redis): model = GoogleLargeLanguageModel() result = model.invoke( @@ -109,7 +109,9 @@ def test_invoke_chat_model_with_vision(setup_google_mock): content=[ TextPromptMessageContent(data="what do you see?"), ImagePromptMessageContent( - 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" 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", ), ] ), @@ -124,7 +126,7 @@ def test_invoke_chat_model_with_vision(setup_google_mock): @pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True) -def test_invoke_chat_model_with_vision_multi_pics(setup_google_mock): +def test_invoke_chat_model_with_vision_multi_pics(setup_google_mock, setup_mock_redis): model = GoogleLargeLanguageModel() result = model.invoke( @@ -136,7 +138,9 @@ def test_invoke_chat_model_with_vision_multi_pics(setup_google_mock): content=[ TextPromptMessageContent(data="what do you see?"), ImagePromptMessageContent( - 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" + mime_type="image/png", + format="png", + 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", ), ] ), @@ -145,7 +149,9 @@ def test_invoke_chat_model_with_vision_multi_pics(setup_google_mock): content=[ TextPromptMessageContent(data="what about now?"), ImagePromptMessageContent( - data="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAACXBIWXMAAAABAAAAAQBPJcTWAAADl0lEQVR4nC3Uf0zUdRjA8S9W6w//bGs1DUd5RT+gIY0oYeEqY0QCy5EbAnF4IEgyAnGuCBANWOjih6YOlK0BbtLAX+iAENFgUBLMkzs8uDuO+wEcxx3cgdx9v3fvvn/0x+v5PM+z56/n2T6CIAgIQUEECVsICnqOoC0v8PyLW3n5lW28GhLG9hAFwYowdoRsJ+Tzv3hdEcpOxVvsfDscheI1BIXKy5t7OwiPiCI8IZaIL+OISPKxK/IDdiU6ifwqjqj4WKISP5VN8mHSFNHJA7KnfJQYh7A7+g1i9hXw2dcX2JuSxhcJnxCfnEJ8ygESqtfYl3qA5O/1pKaX8E2Rn7R0JWnKXFkRaX0OhIOqUtJVRWQoj5ChyiOjb4XMQ0fIVB0lM6eEzMO5ZN5x8W1xD1nZh1Fm55OtzOdQTgEqZR6CSi5UjSI5hTnk3bWSX/gj+ccaKCgspaDkNIWlpygc3OTYtZc4fqKcE5Vn+eFkDWUp8ZS1ryOUn66lvGmCyt/8nLwxTlXZcapqL1Nd10B1Uy01FbnUnFVS+2sLvzTWUXfRRMOAgcb6KhovdSA0XnHRdL6Zcy1/0lyTS3NfgJbWNq6cu0nrPyu0FSlpu9pF21037ZFhXLtYT+eNIbp61+jq70bofv8drvf0c2vQz+3O3+nRrNI78JD+/psMfLefe0MG7p+a5v6tP3g48ojhC7mMXP2Y0YoZRitnEcbkMPaglzEnPAoNZrw4hXH1LBOtOiYfa3gcugO1+gnqZwGeaHRMTcyhaduKRjOBxiJfQSsnWq0W7YwVrd3PtH6BaeMST40adJ3V6OwBZlR7mNUvMWswYsiKxTA1gWHOgsGiRzCmRGOcW8QoD855JObWJUxmHSb5nfd4Mc+ZMFv1MjtmuWepSMNiMmAxz2LN2o1gbdmDdV6NdVnE1p6EzajHZp7BtjCLbSnAgsMtE1k8H8OiwyuTWPL4sLduwz5vRLA7XCzbLCw7PTiswzgWJnBsijhNwzhtw6xmRLLmdLC27sU9dBC324un/iieSyF4rPIS1/8eZOOego0NL898Epv14Wz2nMHrsOB12/Glh+Mrfg/fqgufKCHmxSC21SE6JxFdKwjihhFxw4O4aUf0bSKVRyN1pyKNXEcaDUbS3EZan5Sp/zeFtLGO5LUiSRKCJAXwZ0bg73oXv+kBfrsOv8uOXxIJ/JRG4N/9sjME1B3QXAjzd8CqhqWfkT8C4T8Z5+ciRtwo8gAAAABJRU5ErkJggg==" + mime_type="image/png", + format="png", + base64_data="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", ), ] ), 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 58a1339f50..979751afce 100644 --- a/api/tests/integration_tests/model_runtime/ollama/test_llm.py +++ b/api/tests/integration_tests/model_runtime/ollama/test_llm.py @@ -160,7 +160,9 @@ def test_invoke_completion_model_with_vision(): data="What is this in this picture?", ), ImagePromptMessageContent( - data="data:image/png;base64,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" 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", ), ] ) @@ -191,7 +193,9 @@ def test_invoke_chat_model_with_vision(): data="What is this in this picture?", ), ImagePromptMessageContent( - 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" 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8jU9LHoJYnwLUtgWN4ObDC7Kdr8Hp7d9qMTW8gt23V1zyvPrD1H56e9t+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", ), ] ) 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 41c99f6875..9e83b9d434 100644 --- a/api/tests/integration_tests/model_runtime/openai/test_llm.py +++ b/api/tests/integration_tests/model_runtime/openai/test_llm.py @@ -139,7 +139,9 @@ def test_invoke_chat_model_with_vision(setup_openai_mock): data="Hello World!", ), ImagePromptMessageContent( - 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" 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", ), ] ), 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 2a5320c7d5..4c83c66bff 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 @@ -12,11 +12,11 @@ def tidb_vector(): return TiDBVector( collection_name="test_collection", config=TiDBVectorConfig( - host="xxx.eu-central-1.xxx.aws.tidbcloud.com", - port="4000", - user="xxx.root", - password="xxxxxx", - database="dify", + host="localhost", + port=4000, + user="root", + password="", + database="test", program_name="langgenius/dify", ), ) @@ -27,35 +27,14 @@ class TiDBVectorTest(AbstractVectorTest): super().__init__() self.vector = vector - def text_exists(self): - exist = self.vector.text_exists(self.example_doc_id) - assert exist == False - - 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) == 0 - 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) == 0 def get_ids_by_metadata_field(self): - ids = self.vector.get_ids_by_metadata_field(key="document_id", value=self.example_doc_id) - assert len(ids) == 0 + ids = self.vector.get_ids_by_metadata_field(key="doc_id", value=self.example_doc_id) + assert len(ids) == 1 -def test_tidb_vector(setup_mock_redis, setup_tidbvector_mock, tidb_vector, mock_session): +def test_tidb_vector(setup_mock_redis, tidb_vector): TiDBVectorTest(vector=tidb_vector).run_all_tests() - - -@pytest.fixture -def 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"): - yield tidb_vector diff --git a/api/tests/unit_tests/configs/test_opendal_config_parse.py b/api/tests/unit_tests/configs/test_opendal_config_parse.py deleted file mode 100644 index 94de40450b..0000000000 --- a/api/tests/unit_tests/configs/test_opendal_config_parse.py +++ /dev/null @@ -1,20 +0,0 @@ -import pytest - -from extensions.storage.opendal_storage import is_r2_endpoint - - -@pytest.mark.parametrize( - ("endpoint", "expected"), - [ - ("https://bucket.r2.cloudflarestorage.com", True), - ("https://custom-domain.r2.cloudflarestorage.com/", True), - ("https://bucket.r2.cloudflarestorage.com/path", True), - ("https://s3.amazonaws.com", False), - ("https://storage.googleapis.com", False), - ("http://localhost:9000", False), - ("invalid-url", False), - ("", False), - ], -) -def test_is_r2_endpoint(endpoint: str, expected: bool): - assert is_r2_endpoint(endpoint) == expected 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 7d19cff3e8..941984863b 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 @@ -2,6 +2,7 @@ from unittest.mock import MagicMock, patch import pytest +from configs import dify_config from core.app.app_config.entities import ModelConfigEntity from core.file import File, FileTransferMethod, FileType, FileUploadConfig, ImageConfig from core.memory.token_buffer_memory import TokenBufferMemory @@ -126,6 +127,7 @@ def test__get_chat_model_prompt_messages_no_memory(get_chat_model_args): def test__get_chat_model_prompt_messages_with_files_no_memory(get_chat_model_args): model_config_mock, _, messages, inputs, context = get_chat_model_args + dify_config.MULTIMODAL_SEND_FORMAT = "url" files = [ File( @@ -140,7 +142,9 @@ def test__get_chat_model_prompt_messages_with_files_no_memory(get_chat_model_arg prompt_transform = AdvancedPromptTransform() prompt_transform._calculate_rest_token = MagicMock(return_value=2000) with patch("core.file.file_manager.to_prompt_message_content") as mock_get_encoded_string: - mock_get_encoded_string.return_value = ImagePromptMessageContent(data=str(files[0].remote_url)) + mock_get_encoded_string.return_value = ImagePromptMessageContent( + url=str(files[0].remote_url), format="jpg", mime_type="image/jpg" + ) prompt_messages = prompt_transform._get_chat_model_prompt_messages( prompt_template=messages, inputs=inputs, diff --git a/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_executor.py b/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_executor.py index 7c19de6078..58b910e17b 100644 --- a/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_executor.py +++ b/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_executor.py @@ -48,7 +48,7 @@ def test_executor_with_json_body_and_number_variable(): assert executor.method == "post" assert executor.url == "https://api.example.com/data" assert executor.headers == {"Content-Type": "application/json"} - assert executor.params == {} + assert executor.params == [] assert executor.json == {"number": 42} assert executor.data is None assert executor.files is None @@ -101,7 +101,7 @@ def test_executor_with_json_body_and_object_variable(): assert executor.method == "post" assert executor.url == "https://api.example.com/data" assert executor.headers == {"Content-Type": "application/json"} - assert executor.params == {} + assert executor.params == [] assert executor.json == {"name": "John Doe", "age": 30, "email": "john@example.com"} assert executor.data is None assert executor.files is None @@ -156,7 +156,7 @@ def test_executor_with_json_body_and_nested_object_variable(): assert executor.method == "post" assert executor.url == "https://api.example.com/data" assert executor.headers == {"Content-Type": "application/json"} - assert executor.params == {} + assert executor.params == [] assert executor.json == {"object": {"name": "John Doe", "age": 30, "email": "john@example.com"}} assert executor.data is None assert executor.files is None @@ -195,7 +195,7 @@ def test_extract_selectors_from_template_with_newline(): variable_pool=variable_pool, ) - assert executor.params == {"test": "line1\nline2"} + assert executor.params == [("test", "line1\nline2")] def test_executor_with_form_data(): @@ -244,7 +244,7 @@ def test_executor_with_form_data(): assert executor.url == "https://api.example.com/upload" assert "Content-Type" in executor.headers assert "multipart/form-data" in executor.headers["Content-Type"] - assert executor.params == {} + assert executor.params == [] assert executor.json is None assert executor.files is None assert executor.content is None @@ -265,3 +265,72 @@ def test_executor_with_form_data(): assert "Hello, World!" in raw_request assert "number_field" in raw_request assert "42" in raw_request + + +def test_init_headers(): + def create_executor(headers: str) -> Executor: + node_data = HttpRequestNodeData( + title="test", + method="get", + url="http://example.com", + headers=headers, + params="", + authorization=HttpRequestNodeAuthorization(type="no-auth"), + ) + timeout = HttpRequestNodeTimeout(connect=10, read=30, write=30) + return Executor(node_data=node_data, timeout=timeout, variable_pool=VariablePool()) + + executor = create_executor("aa\n cc:") + executor._init_headers() + assert executor.headers == {"aa": "", "cc": ""} + + executor = create_executor("aa:bb\n cc:dd") + executor._init_headers() + assert executor.headers == {"aa": "bb", "cc": "dd"} + + executor = create_executor("aa:bb\n cc:dd\n") + executor._init_headers() + assert executor.headers == {"aa": "bb", "cc": "dd"} + + executor = create_executor("aa:bb\n\n cc : dd\n\n") + executor._init_headers() + assert executor.headers == {"aa": "bb", "cc": "dd"} + + +def test_init_params(): + def create_executor(params: str) -> Executor: + node_data = HttpRequestNodeData( + title="test", + method="get", + url="http://example.com", + headers="", + params=params, + authorization=HttpRequestNodeAuthorization(type="no-auth"), + ) + timeout = HttpRequestNodeTimeout(connect=10, read=30, write=30) + return Executor(node_data=node_data, timeout=timeout, variable_pool=VariablePool()) + + # Test basic key-value pairs + executor = create_executor("key1:value1\nkey2:value2") + executor._init_params() + assert executor.params == [("key1", "value1"), ("key2", "value2")] + + # Test empty values + executor = create_executor("key1:\nkey2:") + executor._init_params() + assert executor.params == [("key1", ""), ("key2", "")] + + # Test duplicate keys (which is allowed for params) + executor = create_executor("key1:value1\nkey1:value2") + executor._init_params() + assert executor.params == [("key1", "value1"), ("key1", "value2")] + + # Test whitespace handling + executor = create_executor(" key1 : value1 \n key2 : value2 ") + executor._init_params() + assert executor.params == [("key1", "value1"), ("key2", "value2")] + + # Test empty lines and extra whitespace + executor = create_executor("key1:value1\n\nkey2:value2\n\n") + executor._init_params() + assert executor.params == [("key1", "value1"), ("key2", "value2")] diff --git a/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_node.py b/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_node.py index 741a3a1894..70ec023140 100644 --- a/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_node.py +++ b/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_node.py @@ -14,18 +14,10 @@ from core.workflow.nodes.http_request import ( HttpRequestNodeBody, HttpRequestNodeData, ) -from core.workflow.nodes.http_request.executor import _plain_text_to_dict from models.enums import UserFrom from models.workflow import WorkflowNodeExecutionStatus, WorkflowType -def test_plain_text_to_dict(): - assert _plain_text_to_dict("aa\n cc:") == {"aa": "", "cc": ""} - assert _plain_text_to_dict("aa:bb\n cc:dd") == {"aa": "bb", "cc": "dd"} - assert _plain_text_to_dict("aa:bb\n cc:dd\n") == {"aa": "bb", "cc": "dd"} - assert _plain_text_to_dict("aa:bb\n\n cc : dd\n\n") == {"aa": "bb", "cc": "dd"} - - def test_http_request_node_binary_file(monkeypatch): data = HttpRequestNodeData( title="test", diff --git a/api/tests/unit_tests/core/workflow/nodes/llm/test_node.py b/api/tests/unit_tests/core/workflow/nodes/llm/test_node.py index 9a24d35a1f..5f69a4f205 100644 --- a/api/tests/unit_tests/core/workflow/nodes/llm/test_node.py +++ b/api/tests/unit_tests/core/workflow/nodes/llm/test_node.py @@ -18,8 +18,7 @@ from core.model_runtime.entities.message_entities import ( TextPromptMessageContent, UserPromptMessage, ) -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelFeature, ModelType, ProviderModel -from core.model_runtime.entities.provider_entities import ConfigurateMethod, ProviderEntity +from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelFeature, ModelType from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory from core.prompt.entities.advanced_prompt_entities import MemoryConfig from core.variables import ArrayAnySegment, ArrayFileSegment, NoneSegment @@ -249,8 +248,7 @@ def test_fetch_prompt_messages__vison_disabled(faker, llm_node, model_config): def test_fetch_prompt_messages__basic(faker, llm_node, model_config): # Setup dify config - dify_config.MULTIMODAL_SEND_IMAGE_FORMAT = "url" - dify_config.MULTIMODAL_SEND_VIDEO_FORMAT = "url" + dify_config.MULTIMODAL_SEND_FORMAT = "url" # Generate fake values for prompt template fake_assistant_prompt = faker.sentence() @@ -328,6 +326,8 @@ def test_fetch_prompt_messages__basic(faker, llm_node, model_config): filename="test1.jpg", transfer_method=FileTransferMethod.REMOTE_URL, remote_url=fake_remote_url, + extension=".jpg", + mime_type="image/jpg", ) ], vision_enabled=True, @@ -361,7 +361,9 @@ def test_fetch_prompt_messages__basic(faker, llm_node, model_config): UserPromptMessage( content=[ TextPromptMessageContent(data=fake_query), - ImagePromptMessageContent(data=fake_remote_url, detail=fake_vision_detail), + ImagePromptMessageContent( + url=fake_remote_url, mime_type="image/jpg", format="jpg", detail=fake_vision_detail + ), ] ), ], @@ -384,7 +386,9 @@ def test_fetch_prompt_messages__basic(faker, llm_node, model_config): expected_messages=[ UserPromptMessage( content=[ - ImagePromptMessageContent(data=fake_remote_url, detail=fake_vision_detail), + ImagePromptMessageContent( + url=fake_remote_url, mime_type="image/jpg", format="jpg", detail=fake_vision_detail + ), ] ), ] @@ -397,6 +401,8 @@ def test_fetch_prompt_messages__basic(faker, llm_node, model_config): filename="test1.jpg", transfer_method=FileTransferMethod.REMOTE_URL, remote_url=fake_remote_url, + extension=".jpg", + mime_type="image/jpg", ) }, ), diff --git a/api/tests/unit_tests/oss/opendal/test_opendal.py b/api/tests/unit_tests/oss/opendal/test_opendal.py index 1caee55677..6acec6e579 100644 --- a/api/tests/unit_tests/oss/opendal/test_opendal.py +++ b/api/tests/unit_tests/oss/opendal/test_opendal.py @@ -1,15 +1,12 @@ -import os from collections.abc import Generator from pathlib import Path import pytest -from configs.middleware.storage.opendal_storage_config import OpenDALScheme from extensions.storage.opendal_storage import OpenDALStorage from tests.unit_tests.oss.__mock.base import ( get_example_data, get_example_filename, - get_example_filepath, get_opendal_bucket, ) @@ -19,7 +16,7 @@ class TestOpenDAL: def setup_method(self, *args, **kwargs): """Executed before each test method.""" self.storage = OpenDALStorage( - scheme=OpenDALScheme.FS, + scheme="fs", root=get_opendal_bucket(), ) diff --git a/dev/pytest/pytest_vdb.sh b/dev/pytest/pytest_vdb.sh index 02a9f49279..c68a94c79b 100755 --- a/dev/pytest/pytest_vdb.sh +++ b/dev/pytest/pytest_vdb.sh @@ -14,3 +14,4 @@ pytest api/tests/integration_tests/vdb/chroma \ api/tests/integration_tests/vdb/upstash \ api/tests/integration_tests/vdb/couchbase \ api/tests/integration_tests/vdb/oceanbase \ + api/tests/integration_tests/vdb/tidb_vector \ diff --git a/docker-legacy/docker-compose.yaml b/docker-legacy/docker-compose.yaml index 4392407a73..6c38b5c4f9 100644 --- a/docker-legacy/docker-compose.yaml +++ b/docker-legacy/docker-compose.yaml @@ -2,7 +2,7 @@ version: '3' services: # API service api: - image: langgenius/dify-api:0.13.2 + image: langgenius/dify-api:0.14.0 restart: always environment: # Startup mode, 'api' starts the API server. @@ -227,7 +227,7 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:0.13.2 + image: langgenius/dify-api:0.14.0 restart: always environment: CONSOLE_WEB_URL: '' @@ -397,7 +397,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:0.13.2 + image: langgenius/dify-web:0.14.0 restart: always environment: # The base URL of console application api server, refers to the Console base URL of WEB service if console domain is diff --git a/docker/.env.example b/docker/.env.example index db85e5d511..cd48c9e3a1 100644 --- a/docker/.env.example +++ b/docker/.env.example @@ -119,15 +119,15 @@ DIFY_BIND_ADDRESS=0.0.0.0 # API service binding port number, default 5001. DIFY_PORT=5001 -# The number of API server workers, i.e., the number of gevent workers. -# Formula: number of cpu cores x 2 + 1 +# The number of API server workers, i.e., the number of workers. +# Formula: number of cpu cores x 2 + 1 for sync, 1 for Gevent # Reference: https://docs.gunicorn.org/en/stable/design.html#how-many-workers SERVER_WORKER_AMOUNT= # Defaults to gevent. If using windows, it can be switched to sync or solo. SERVER_WORKER_CLASS= -# Similar to SERVER_WORKER_CLASS. Default is gevent. +# Similar to SERVER_WORKER_CLASS. # If using windows, it can be switched to sync or solo. CELERY_WORKER_CLASS= @@ -227,6 +227,7 @@ REDIS_PORT=6379 REDIS_USERNAME= REDIS_PASSWORD=difyai123456 REDIS_USE_SSL=false +REDIS_DB=0 # Whether to use Redis Sentinel mode. # If set to true, the application will automatically discover and connect to the master node through Sentinel. @@ -281,57 +282,39 @@ CONSOLE_CORS_ALLOW_ORIGINS=* # ------------------------------ # The type of storage to use for storing user files. -# Supported values are `opendal` , `s3` , `azure-blob` , `google-storage`, `tencent-cos`, `huawei-obs`, `volcengine-tos`, `baidu-obs`, `supabase` -# Default: `opendal` STORAGE_TYPE=opendal # Apache OpenDAL Configuration, refer to https://github.com/apache/opendal # The scheme for the OpenDAL storage. -STORAGE_OPENDAL_SCHEME=fs -# OpenDAL FS +OPENDAL_SCHEME=fs +# Configurations for OpenDAL Local File System. OPENDAL_FS_ROOT=storage -# OpenDAL S3 -OPENDAL_S3_ROOT=/ -OPENDAL_S3_BUCKET=your-bucket-name -OPENDAL_S3_ENDPOINT=https://s3.amazonaws.com -OPENDAL_S3_ACCESS_KEY_ID=your-access-key -OPENDAL_S3_SECRET_ACCESS_KEY=your-secret-key -OPENDAL_S3_REGION=your-region -OPENDAL_S3_SERVER_SIDE_ENCRYPTION= # S3 Configuration +# +S3_ENDPOINT= +S3_REGION=us-east-1 +S3_BUCKET_NAME=difyai +S3_ACCESS_KEY= +S3_SECRET_KEY= # Whether to use AWS managed IAM roles for authenticating with the S3 service. # If set to false, the access key and secret key must be provided. S3_USE_AWS_MANAGED_IAM=false -# The endpoint of the S3 service. -S3_ENDPOINT= -# The region of the S3 service. -S3_REGION=us-east-1 -# The name of the S3 bucket to use for storing files. -S3_BUCKET_NAME=difyai -# The access key to use for authenticating with the S3 service. -S3_ACCESS_KEY= -# The secret key to use for authenticating with the S3 service. -S3_SECRET_KEY= # Azure Blob Configuration -# The name of the Azure Blob Storage account to use for storing files. +# AZURE_BLOB_ACCOUNT_NAME=difyai -# The access key to use for authenticating with the Azure Blob Storage account. AZURE_BLOB_ACCOUNT_KEY=difyai -# The name of the Azure Blob Storage container to use for storing files. AZURE_BLOB_CONTAINER_NAME=difyai-container -# The URL of the Azure Blob Storage account. AZURE_BLOB_ACCOUNT_URL=https://.blob.core.windows.net # Google Storage Configuration -# The name of the Google Storage bucket to use for storing files. +# GOOGLE_STORAGE_BUCKET_NAME=your-bucket-name -# The service account JSON key to use for authenticating with the Google Storage service. GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64=your-google-service-account-json-base64-string # The Alibaba Cloud OSS configurations, -# only available when STORAGE_TYPE is `aliyun-oss` +# ALIYUN_OSS_BUCKET_NAME=your-bucket-name ALIYUN_OSS_ACCESS_KEY=your-access-key ALIYUN_OSS_SECRET_KEY=your-secret-key @@ -342,55 +325,47 @@ ALIYUN_OSS_AUTH_VERSION=v4 ALIYUN_OSS_PATH=your-path # Tencent COS Configuration -# The name of the Tencent COS bucket to use for storing files. +# TENCENT_COS_BUCKET_NAME=your-bucket-name -# The secret key to use for authenticating with the Tencent COS service. TENCENT_COS_SECRET_KEY=your-secret-key -# The secret id to use for authenticating with the Tencent COS service. TENCENT_COS_SECRET_ID=your-secret-id -# The region of the Tencent COS service. TENCENT_COS_REGION=your-region -# The scheme of the Tencent COS service. TENCENT_COS_SCHEME=your-scheme +# Oracle Storage Configuration +# +OCI_ENDPOINT=https://objectstorage.us-ashburn-1.oraclecloud.com +OCI_BUCKET_NAME=your-bucket-name +OCI_ACCESS_KEY=your-access-key +OCI_SECRET_KEY=your-secret-key +OCI_REGION=us-ashburn-1 + # Huawei OBS Configuration -# The name of the Huawei OBS bucket to use for storing files. +# HUAWEI_OBS_BUCKET_NAME=your-bucket-name -# The secret key to use for authenticating with the Huawei OBS service. HUAWEI_OBS_SECRET_KEY=your-secret-key -# The access key to use for authenticating with the Huawei OBS service. HUAWEI_OBS_ACCESS_KEY=your-access-key -# The server url of the HUAWEI OBS service. HUAWEI_OBS_SERVER=your-server-url # Volcengine TOS Configuration -# The name of the Volcengine TOS bucket to use for storing files. +# VOLCENGINE_TOS_BUCKET_NAME=your-bucket-name -# The secret key to use for authenticating with the Volcengine TOS service. VOLCENGINE_TOS_SECRET_KEY=your-secret-key -# The access key to use for authenticating with the Volcengine TOS service. VOLCENGINE_TOS_ACCESS_KEY=your-access-key -# The endpoint of the Volcengine TOS service. VOLCENGINE_TOS_ENDPOINT=your-server-url -# The region of the Volcengine TOS service. VOLCENGINE_TOS_REGION=your-region # Baidu OBS Storage Configuration -# The name of the Baidu OBS bucket to use for storing files. +# BAIDU_OBS_BUCKET_NAME=your-bucket-name -# The secret key to use for authenticating with the Baidu OBS service. BAIDU_OBS_SECRET_KEY=your-secret-key -# The access key to use for authenticating with the Baidu OBS service. BAIDU_OBS_ACCESS_KEY=your-access-key -# The endpoint of the Baidu OBS service. BAIDU_OBS_ENDPOINT=your-server-url # Supabase Storage Configuration -# The name of the Supabase bucket to use for storing files. +# SUPABASE_BUCKET_NAME=your-bucket-name -# The api key to use for authenticating with the Supabase service. SUPABASE_API_KEY=your-access-key -# The project endpoint url of the Supabase service. SUPABASE_URL=your-server-url # ------------------------------ @@ -403,28 +378,20 @@ VECTOR_STORE=weaviate # The Weaviate endpoint URL. Only available when VECTOR_STORE is `weaviate`. WEAVIATE_ENDPOINT=http://weaviate:8080 -# The Weaviate API key. WEAVIATE_API_KEY=WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih # The Qdrant endpoint URL. Only available when VECTOR_STORE is `qdrant`. QDRANT_URL=http://qdrant:6333 -# The Qdrant API key. QDRANT_API_KEY=difyai123456 -# The Qdrant client timeout setting. QDRANT_CLIENT_TIMEOUT=20 -# The Qdrant client enable gRPC mode. QDRANT_GRPC_ENABLED=false -# The Qdrant server gRPC mode PORT. QDRANT_GRPC_PORT=6334 # Milvus configuration Only available when VECTOR_STORE is `milvus`. # The milvus uri. MILVUS_URI=http://127.0.0.1:19530 -# The milvus token. MILVUS_TOKEN= -# The milvus username. MILVUS_USER=root -# The milvus password. MILVUS_PASSWORD=Milvus # MyScale configuration, only available when VECTOR_STORE is `myscale` @@ -478,8 +445,8 @@ ANALYTICDB_MAX_CONNECTION=5 # TiDB vector configurations, only available when VECTOR_STORE is `tidb` TIDB_VECTOR_HOST=tidb TIDB_VECTOR_PORT=4000 -TIDB_VECTOR_USER=xxx.root -TIDB_VECTOR_PASSWORD=xxxxxx +TIDB_VECTOR_USER= +TIDB_VECTOR_PASSWORD= TIDB_VECTOR_DATABASE=dify # Tidb on qdrant configuration, only available when VECTOR_STORE is `tidb_on_qdrant` @@ -502,7 +469,7 @@ CHROMA_PORT=8000 CHROMA_TENANT=default_tenant CHROMA_DATABASE=default_database CHROMA_AUTH_PROVIDER=chromadb.auth.token_authn.TokenAuthClientProvider -CHROMA_AUTH_CREDENTIALS=xxxxxx +CHROMA_AUTH_CREDENTIALS= # Oracle configuration, only available when VECTOR_STORE is `oracle` ORACLE_HOST=oracle @@ -539,6 +506,7 @@ ELASTICSEARCH_HOST=0.0.0.0 ELASTICSEARCH_PORT=9200 ELASTICSEARCH_USERNAME=elastic ELASTICSEARCH_PASSWORD=elastic +KIBANA_PORT=5601 # baidu vector configurations, only available when VECTOR_STORE is `baidu` BAIDU_VECTOR_DB_ENDPOINT=http://127.0.0.1:5287 @@ -558,11 +526,10 @@ VIKINGDB_SCHEMA=http VIKINGDB_CONNECTION_TIMEOUT=30 VIKINGDB_SOCKET_TIMEOUT=30 - # Lindorm configuration, only available when VECTOR_STORE is `lindorm` -LINDORM_URL=http://ld-***************-proxy-search-pub.lindorm.aliyuncs.com:30070 -LINDORM_USERNAME=username -LINDORM_PASSWORD=password +LINDORM_URL=http://lindorm:30070 +LINDORM_USERNAME=lindorm +LINDORM_PASSWORD=lindorm # OceanBase Vector configuration, only available when VECTOR_STORE is `oceanbase` OCEANBASE_VECTOR_HOST=oceanbase @@ -570,8 +537,13 @@ OCEANBASE_VECTOR_PORT=2881 OCEANBASE_VECTOR_USER=root@test OCEANBASE_VECTOR_PASSWORD=difyai123456 OCEANBASE_VECTOR_DATABASE=test +OCEANBASE_CLUSTER_NAME=difyai OCEANBASE_MEMORY_LIMIT=6G +# Upstash Vector configuration, only available when VECTOR_STORE is `upstash` +UPSTASH_VECTOR_URL=https://xxx-vector.upstash.io +UPSTASH_VECTOR_TOKEN=dify + # ------------------------------ # Knowledge Configuration # ------------------------------ @@ -614,20 +586,16 @@ CODE_GENERATION_MAX_TOKENS=1024 # Multi-modal Configuration # ------------------------------ -# The format of the image/video sent when the multi-modal model is input, +# The format of the image/video/audio/document sent when the multi-modal model is input, # the default is base64, optional url. # The delay of the call in url mode will be lower than that in base64 mode. # It is generally recommended to use the more compatible base64 mode. -# If configured as url, you need to configure FILES_URL as an externally accessible address so that the multi-modal model can access the image/video. -MULTIMODAL_SEND_IMAGE_FORMAT=base64 -MULTIMODAL_SEND_VIDEO_FORMAT=base64 - +# If configured as url, you need to configure FILES_URL as an externally accessible address so that the multi-modal model can access the image/video/audio/document. +MULTIMODAL_SEND_FORMAT=base64 # Upload image file size limit, default 10M. UPLOAD_IMAGE_FILE_SIZE_LIMIT=10 - # Upload video file size limit, default 100M. UPLOAD_VIDEO_FILE_SIZE_LIMIT=100 - # Upload audio file size limit, default 50M. UPLOAD_AUDIO_FILE_SIZE_LIMIT=50 @@ -640,10 +608,8 @@ UPLOAD_AUDIO_FILE_SIZE_LIMIT=50 # all monitoring information is not reported to Sentry. # If not set, Sentry error reporting will be disabled. API_SENTRY_DSN= - # API Service The reporting ratio of Sentry events, if it is 0.01, it is 1%. API_SENTRY_TRACES_SAMPLE_RATE=1.0 - # API Service The reporting ratio of Sentry profiles, if it is 0.01, it is 1%. API_SENTRY_PROFILES_SAMPLE_RATE=1.0 @@ -681,8 +647,10 @@ MAIL_TYPE=resend MAIL_DEFAULT_SEND_FROM= # API-Key for the Resend email provider, used when MAIL_TYPE is `resend`. +RESEND_API_URL=https://api.resend.com RESEND_API_KEY=your-resend-api-key + # SMTP server configuration, used when MAIL_TYPE is `smtp` SMTP_SERVER= SMTP_PORT=465 @@ -707,18 +675,19 @@ RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5 # The sandbox service endpoint. CODE_EXECUTION_ENDPOINT=http://sandbox:8194 +CODE_EXECUTION_API_KEY=dify-sandbox 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 CODE_MAX_OBJECT_ARRAY_LENGTH=30 CODE_MAX_NUMBER_ARRAY_LENGTH=1000 CODE_EXECUTION_CONNECT_TIMEOUT=10 CODE_EXECUTION_READ_TIMEOUT=60 CODE_EXECUTION_WRITE_TIMEOUT=10 +TEMPLATE_TRANSFORM_MAX_LENGTH=80000 # Workflow runtime configuration WORKFLOW_MAX_EXECUTION_STEPS=500 @@ -944,3 +913,10 @@ CSP_WHITELIST= # Enable or disable create tidb service job CREATE_TIDB_SERVICE_JOB_ENABLED=false + +# Maximum number of submitted thread count in a ThreadPool for parallel node execution +MAX_SUBMIT_COUNT=100 + +# Proxy +HTTP_PROXY= +HTTPS_PROXY= \ No newline at end of file diff --git a/docker/docker-compose-template.yaml b/docker/docker-compose-template.yaml new file mode 100644 index 0000000000..23fc9692ca --- /dev/null +++ b/docker/docker-compose-template.yaml @@ -0,0 +1,576 @@ +x-shared-env: &shared-api-worker-env +services: + # API service + api: + image: langgenius/dify-api:0.14.0 + restart: always + environment: + # Use the shared environment variables. + <<: *shared-api-worker-env + # Startup mode, 'api' starts the API server. + MODE: api + SENTRY_DSN: ${API_SENTRY_DSN:-} + SENTRY_TRACES_SAMPLE_RATE: ${API_SENTRY_TRACES_SAMPLE_RATE:-1.0} + SENTRY_PROFILES_SAMPLE_RATE: ${API_SENTRY_PROFILES_SAMPLE_RATE:-1.0} + depends_on: + - db + - redis + volumes: + # Mount the storage directory to the container, for storing user files. + - ./volumes/app/storage:/app/api/storage + networks: + - ssrf_proxy_network + - default + + # worker service + # The Celery worker for processing the queue. + worker: + image: langgenius/dify-api:0.14.0 + restart: always + environment: + # Use the shared environment variables. + <<: *shared-api-worker-env + # Startup mode, 'worker' starts the Celery worker for processing the queue. + MODE: worker + SENTRY_DSN: ${API_SENTRY_DSN:-} + SENTRY_TRACES_SAMPLE_RATE: ${API_SENTRY_TRACES_SAMPLE_RATE:-1.0} + SENTRY_PROFILES_SAMPLE_RATE: ${API_SENTRY_PROFILES_SAMPLE_RATE:-1.0} + depends_on: + - db + - redis + volumes: + # Mount the storage directory to the container, for storing user files. + - ./volumes/app/storage:/app/api/storage + networks: + - ssrf_proxy_network + - default + + # Frontend web application. + web: + image: langgenius/dify-web:0.14.0 + restart: always + environment: + CONSOLE_API_URL: ${CONSOLE_API_URL:-} + APP_API_URL: ${APP_API_URL:-} + SENTRY_DSN: ${WEB_SENTRY_DSN:-} + NEXT_TELEMETRY_DISABLED: ${NEXT_TELEMETRY_DISABLED:-0} + TEXT_GENERATION_TIMEOUT_MS: ${TEXT_GENERATION_TIMEOUT_MS:-60000} + CSP_WHITELIST: ${CSP_WHITELIST:-} + + # The postgres database. + db: + image: postgres:15-alpine + restart: always + environment: + PGUSER: ${PGUSER:-postgres} + POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-difyai123456} + POSTGRES_DB: ${POSTGRES_DB:-dify} + PGDATA: ${PGDATA:-/var/lib/postgresql/data/pgdata} + command: > + postgres -c 'max_connections=${POSTGRES_MAX_CONNECTIONS:-100}' + -c 'shared_buffers=${POSTGRES_SHARED_BUFFERS:-128MB}' + -c 'work_mem=${POSTGRES_WORK_MEM:-4MB}' + -c 'maintenance_work_mem=${POSTGRES_MAINTENANCE_WORK_MEM:-64MB}' + -c 'effective_cache_size=${POSTGRES_EFFECTIVE_CACHE_SIZE:-4096MB}' + volumes: + - ./volumes/db/data:/var/lib/postgresql/data + healthcheck: + test: ['CMD', 'pg_isready'] + interval: 1s + timeout: 3s + retries: 30 + + # The redis cache. + redis: + image: redis:6-alpine + restart: always + environment: + REDISCLI_AUTH: ${REDIS_PASSWORD:-difyai123456} + volumes: + # Mount the redis data directory to the container. + - ./volumes/redis/data:/data + # Set the redis password when startup redis server. + command: redis-server --requirepass ${REDIS_PASSWORD:-difyai123456} + healthcheck: + test: ['CMD', 'redis-cli', 'ping'] + + # The DifySandbox + sandbox: + image: langgenius/dify-sandbox:0.2.10 + restart: always + environment: + # The DifySandbox configurations + # 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`. + API_KEY: ${SANDBOX_API_KEY:-dify-sandbox} + GIN_MODE: ${SANDBOX_GIN_MODE:-release} + WORKER_TIMEOUT: ${SANDBOX_WORKER_TIMEOUT:-15} + ENABLE_NETWORK: ${SANDBOX_ENABLE_NETWORK:-true} + HTTP_PROXY: ${SANDBOX_HTTP_PROXY:-http://ssrf_proxy:3128} + HTTPS_PROXY: ${SANDBOX_HTTPS_PROXY:-http://ssrf_proxy:3128} + SANDBOX_PORT: ${SANDBOX_PORT:-8194} + volumes: + - ./volumes/sandbox/dependencies:/dependencies + healthcheck: + test: ['CMD', 'curl', '-f', 'http://localhost:8194/health'] + networks: + - ssrf_proxy_network + + # ssrf_proxy server + # for more information, please refer to + # https://docs.dify.ai/learn-more/faq/install-faq#id-18.-why-is-ssrf_proxy-needed + ssrf_proxy: + image: ubuntu/squid:latest + restart: always + volumes: + - ./ssrf_proxy/squid.conf.template:/etc/squid/squid.conf.template + - ./ssrf_proxy/docker-entrypoint.sh:/docker-entrypoint-mount.sh + entrypoint: + [ + 'sh', + '-c', + "cp /docker-entrypoint-mount.sh /docker-entrypoint.sh && sed -i 's/\r$$//' /docker-entrypoint.sh && chmod +x /docker-entrypoint.sh && /docker-entrypoint.sh", + ] + environment: + # pls clearly modify the squid env vars to fit your network environment. + HTTP_PORT: ${SSRF_HTTP_PORT:-3128} + COREDUMP_DIR: ${SSRF_COREDUMP_DIR:-/var/spool/squid} + REVERSE_PROXY_PORT: ${SSRF_REVERSE_PROXY_PORT:-8194} + SANDBOX_HOST: ${SSRF_SANDBOX_HOST:-sandbox} + SANDBOX_PORT: ${SANDBOX_PORT:-8194} + networks: + - ssrf_proxy_network + - default + + # Certbot service + # use `docker-compose --profile certbot up` to start the certbot service. + certbot: + image: certbot/certbot + profiles: + - certbot + volumes: + - ./volumes/certbot/conf:/etc/letsencrypt + - ./volumes/certbot/www:/var/www/html + - ./volumes/certbot/logs:/var/log/letsencrypt + - ./volumes/certbot/conf/live:/etc/letsencrypt/live + - ./certbot/update-cert.template.txt:/update-cert.template.txt + - ./certbot/docker-entrypoint.sh:/docker-entrypoint.sh + environment: + - CERTBOT_EMAIL=${CERTBOT_EMAIL} + - CERTBOT_DOMAIN=${CERTBOT_DOMAIN} + - CERTBOT_OPTIONS=${CERTBOT_OPTIONS:-} + entrypoint: ['/docker-entrypoint.sh'] + command: ['tail', '-f', '/dev/null'] + + # The nginx reverse proxy. + # used for reverse proxying the API service and Web service. + nginx: + image: nginx:latest + restart: always + volumes: + - ./nginx/nginx.conf.template:/etc/nginx/nginx.conf.template + - ./nginx/proxy.conf.template:/etc/nginx/proxy.conf.template + - ./nginx/https.conf.template:/etc/nginx/https.conf.template + - ./nginx/conf.d:/etc/nginx/conf.d + - ./nginx/docker-entrypoint.sh:/docker-entrypoint-mount.sh + - ./nginx/ssl:/etc/ssl # cert dir (legacy) + - ./volumes/certbot/conf/live:/etc/letsencrypt/live # cert dir (with certbot container) + - ./volumes/certbot/conf:/etc/letsencrypt + - ./volumes/certbot/www:/var/www/html + entrypoint: + [ + 'sh', + '-c', + "cp /docker-entrypoint-mount.sh /docker-entrypoint.sh && sed -i 's/\r$$//' /docker-entrypoint.sh && chmod +x /docker-entrypoint.sh && /docker-entrypoint.sh", + ] + environment: + NGINX_SERVER_NAME: ${NGINX_SERVER_NAME:-_} + NGINX_HTTPS_ENABLED: ${NGINX_HTTPS_ENABLED:-false} + NGINX_SSL_PORT: ${NGINX_SSL_PORT:-443} + NGINX_PORT: ${NGINX_PORT:-80} + # You're required to add your own SSL certificates/keys to the `./nginx/ssl` directory + # and modify the env vars below in .env if HTTPS_ENABLED is true. + NGINX_SSL_CERT_FILENAME: ${NGINX_SSL_CERT_FILENAME:-dify.crt} + NGINX_SSL_CERT_KEY_FILENAME: ${NGINX_SSL_CERT_KEY_FILENAME:-dify.key} + NGINX_SSL_PROTOCOLS: ${NGINX_SSL_PROTOCOLS:-TLSv1.1 TLSv1.2 TLSv1.3} + NGINX_WORKER_PROCESSES: ${NGINX_WORKER_PROCESSES:-auto} + NGINX_CLIENT_MAX_BODY_SIZE: ${NGINX_CLIENT_MAX_BODY_SIZE:-15M} + NGINX_KEEPALIVE_TIMEOUT: ${NGINX_KEEPALIVE_TIMEOUT:-65} + NGINX_PROXY_READ_TIMEOUT: ${NGINX_PROXY_READ_TIMEOUT:-3600s} + NGINX_PROXY_SEND_TIMEOUT: ${NGINX_PROXY_SEND_TIMEOUT:-3600s} + NGINX_ENABLE_CERTBOT_CHALLENGE: ${NGINX_ENABLE_CERTBOT_CHALLENGE:-false} + CERTBOT_DOMAIN: ${CERTBOT_DOMAIN:-} + depends_on: + - api + - web + ports: + - '${EXPOSE_NGINX_PORT:-80}:${NGINX_PORT:-80}' + - '${EXPOSE_NGINX_SSL_PORT:-443}:${NGINX_SSL_PORT:-443}' + + # The TiDB vector store. + # For production use, please refer to https://github.com/pingcap/tidb-docker-compose + tidb: + image: pingcap/tidb:v8.4.0 + profiles: + - tidb + command: + - --store=unistore + restart: always + + # The Weaviate vector store. + weaviate: + image: semitechnologies/weaviate:1.19.0 + profiles: + - '' + - weaviate + restart: always + volumes: + # Mount the Weaviate data directory to the con tainer. + - ./volumes/weaviate:/var/lib/weaviate + environment: + # The Weaviate configurations + # You can refer to the [Weaviate](https://weaviate.io/developers/weaviate/config-refs/env-vars) documentation for more information. + PERSISTENCE_DATA_PATH: ${WEAVIATE_PERSISTENCE_DATA_PATH:-/var/lib/weaviate} + QUERY_DEFAULTS_LIMIT: ${WEAVIATE_QUERY_DEFAULTS_LIMIT:-25} + AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: ${WEAVIATE_AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED:-false} + DEFAULT_VECTORIZER_MODULE: ${WEAVIATE_DEFAULT_VECTORIZER_MODULE:-none} + CLUSTER_HOSTNAME: ${WEAVIATE_CLUSTER_HOSTNAME:-node1} + AUTHENTICATION_APIKEY_ENABLED: ${WEAVIATE_AUTHENTICATION_APIKEY_ENABLED:-true} + AUTHENTICATION_APIKEY_ALLOWED_KEYS: ${WEAVIATE_AUTHENTICATION_APIKEY_ALLOWED_KEYS:-WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih} + AUTHENTICATION_APIKEY_USERS: ${WEAVIATE_AUTHENTICATION_APIKEY_USERS:-hello@dify.ai} + AUTHORIZATION_ADMINLIST_ENABLED: ${WEAVIATE_AUTHORIZATION_ADMINLIST_ENABLED:-true} + AUTHORIZATION_ADMINLIST_USERS: ${WEAVIATE_AUTHORIZATION_ADMINLIST_USERS:-hello@dify.ai} + + # Qdrant vector store. + # (if used, you need to set VECTOR_STORE to qdrant in the api & worker service.) + qdrant: + image: langgenius/qdrant:v1.7.3 + profiles: + - qdrant + restart: always + volumes: + - ./volumes/qdrant:/qdrant/storage + environment: + QDRANT_API_KEY: ${QDRANT_API_KEY:-difyai123456} + + # The Couchbase vector store. + couchbase-server: + build: ./couchbase-server + profiles: + - couchbase + restart: always + environment: + - CLUSTER_NAME=dify_search + - COUCHBASE_ADMINISTRATOR_USERNAME=${COUCHBASE_USER:-Administrator} + - COUCHBASE_ADMINISTRATOR_PASSWORD=${COUCHBASE_PASSWORD:-password} + - COUCHBASE_BUCKET=${COUCHBASE_BUCKET_NAME:-Embeddings} + - COUCHBASE_BUCKET_RAMSIZE=512 + - COUCHBASE_RAM_SIZE=2048 + - COUCHBASE_EVENTING_RAM_SIZE=512 + - COUCHBASE_INDEX_RAM_SIZE=512 + - COUCHBASE_FTS_RAM_SIZE=1024 + hostname: couchbase-server + container_name: couchbase-server + working_dir: /opt/couchbase + stdin_open: true + tty: true + entrypoint: [""] + command: sh -c "/opt/couchbase/init/init-cbserver.sh" + volumes: + - ./volumes/couchbase/data:/opt/couchbase/var/lib/couchbase/data + healthcheck: + # ensure bucket was created before proceeding + test: [ "CMD-SHELL", "curl -s -f -u Administrator:password http://localhost:8091/pools/default/buckets | grep -q '\\[{' || exit 1" ] + interval: 10s + retries: 10 + start_period: 30s + timeout: 10s + + # The pgvector vector database. + pgvector: + image: pgvector/pgvector:pg16 + profiles: + - pgvector + restart: always + environment: + PGUSER: ${PGVECTOR_PGUSER:-postgres} + # The password for the default postgres user. + POSTGRES_PASSWORD: ${PGVECTOR_POSTGRES_PASSWORD:-difyai123456} + # The name of the default postgres database. + POSTGRES_DB: ${PGVECTOR_POSTGRES_DB:-dify} + # postgres data directory + PGDATA: ${PGVECTOR_PGDATA:-/var/lib/postgresql/data/pgdata} + volumes: + - ./volumes/pgvector/data:/var/lib/postgresql/data + healthcheck: + test: ['CMD', 'pg_isready'] + interval: 1s + timeout: 3s + retries: 30 + + # pgvecto-rs vector store + pgvecto-rs: + image: tensorchord/pgvecto-rs:pg16-v0.3.0 + profiles: + - pgvecto-rs + restart: always + environment: + PGUSER: ${PGVECTOR_PGUSER:-postgres} + # The password for the default postgres user. + POSTGRES_PASSWORD: ${PGVECTOR_POSTGRES_PASSWORD:-difyai123456} + # The name of the default postgres database. + POSTGRES_DB: ${PGVECTOR_POSTGRES_DB:-dify} + # postgres data directory + PGDATA: ${PGVECTOR_PGDATA:-/var/lib/postgresql/data/pgdata} + volumes: + - ./volumes/pgvecto_rs/data:/var/lib/postgresql/data + healthcheck: + test: ['CMD', 'pg_isready'] + interval: 1s + timeout: 3s + retries: 30 + + # Chroma vector database + chroma: + image: ghcr.io/chroma-core/chroma:0.5.20 + profiles: + - chroma + restart: always + volumes: + - ./volumes/chroma:/chroma/chroma + environment: + CHROMA_SERVER_AUTHN_CREDENTIALS: ${CHROMA_SERVER_AUTHN_CREDENTIALS:-difyai123456} + CHROMA_SERVER_AUTHN_PROVIDER: ${CHROMA_SERVER_AUTHN_PROVIDER:-chromadb.auth.token_authn.TokenAuthenticationServerProvider} + IS_PERSISTENT: ${CHROMA_IS_PERSISTENT:-TRUE} + + # OceanBase vector database + oceanbase: + image: quay.io/oceanbase/oceanbase-ce:4.3.3.0-100000142024101215 + profiles: + - oceanbase + restart: always + volumes: + - ./volumes/oceanbase/data:/root/ob + - ./volumes/oceanbase/conf:/root/.obd/cluster + - ./volumes/oceanbase/init.d:/root/boot/init.d + environment: + OB_MEMORY_LIMIT: ${OCEANBASE_MEMORY_LIMIT:-6G} + OB_SYS_PASSWORD: ${OCEANBASE_VECTOR_PASSWORD:-difyai123456} + OB_TENANT_PASSWORD: ${OCEANBASE_VECTOR_PASSWORD:-difyai123456} + OB_CLUSTER_NAME: ${OCEANBASE_CLUSTER_NAME:-difyai} + OB_SERVER_IP: '127.0.0.1' + + # Oracle vector database + oracle: + image: container-registry.oracle.com/database/free:latest + profiles: + - oracle + restart: always + volumes: + - source: oradata + type: volume + target: /opt/oracle/oradata + - ./startupscripts:/opt/oracle/scripts/startup + environment: + ORACLE_PWD: ${ORACLE_PWD:-Dify123456} + ORACLE_CHARACTERSET: ${ORACLE_CHARACTERSET:-AL32UTF8} + + # Milvus vector database services + etcd: + container_name: milvus-etcd + image: quay.io/coreos/etcd:v3.5.5 + profiles: + - milvus + environment: + ETCD_AUTO_COMPACTION_MODE: ${ETCD_AUTO_COMPACTION_MODE:-revision} + ETCD_AUTO_COMPACTION_RETENTION: ${ETCD_AUTO_COMPACTION_RETENTION:-1000} + ETCD_QUOTA_BACKEND_BYTES: ${ETCD_QUOTA_BACKEND_BYTES:-4294967296} + ETCD_SNAPSHOT_COUNT: ${ETCD_SNAPSHOT_COUNT:-50000} + volumes: + - ./volumes/milvus/etcd:/etcd + command: etcd -advertise-client-urls=http://127.0.0.1:2379 -listen-client-urls http://0.0.0.0:2379 --data-dir /etcd + healthcheck: + test: ['CMD', 'etcdctl', 'endpoint', 'health'] + interval: 30s + timeout: 20s + retries: 3 + networks: + - milvus + + minio: + container_name: milvus-minio + image: minio/minio:RELEASE.2023-03-20T20-16-18Z + profiles: + - milvus + environment: + MINIO_ACCESS_KEY: ${MINIO_ACCESS_KEY:-minioadmin} + MINIO_SECRET_KEY: ${MINIO_SECRET_KEY:-minioadmin} + volumes: + - ./volumes/milvus/minio:/minio_data + command: minio server /minio_data --console-address ":9001" + healthcheck: + test: ['CMD', 'curl', '-f', 'http://localhost:9000/minio/health/live'] + interval: 30s + timeout: 20s + retries: 3 + networks: + - milvus + + milvus-standalone: + container_name: milvus-standalone + image: milvusdb/milvus:v2.3.1 + profiles: + - milvus + command: ['milvus', 'run', 'standalone'] + environment: + ETCD_ENDPOINTS: ${ETCD_ENDPOINTS:-etcd:2379} + MINIO_ADDRESS: ${MINIO_ADDRESS:-minio:9000} + common.security.authorizationEnabled: ${MILVUS_AUTHORIZATION_ENABLED:-true} + volumes: + - ./volumes/milvus/milvus:/var/lib/milvus + healthcheck: + test: ['CMD', 'curl', '-f', 'http://localhost:9091/healthz'] + interval: 30s + start_period: 90s + timeout: 20s + retries: 3 + depends_on: + - etcd + - minio + ports: + - 19530:19530 + - 9091:9091 + networks: + - milvus + + # Opensearch vector database + opensearch: + container_name: opensearch + image: opensearchproject/opensearch:latest + profiles: + - opensearch + environment: + discovery.type: ${OPENSEARCH_DISCOVERY_TYPE:-single-node} + bootstrap.memory_lock: ${OPENSEARCH_BOOTSTRAP_MEMORY_LOCK:-true} + OPENSEARCH_JAVA_OPTS: -Xms${OPENSEARCH_JAVA_OPTS_MIN:-512m} -Xmx${OPENSEARCH_JAVA_OPTS_MAX:-1024m} + OPENSEARCH_INITIAL_ADMIN_PASSWORD: ${OPENSEARCH_INITIAL_ADMIN_PASSWORD:-Qazwsxedc!@#123} + ulimits: + memlock: + soft: ${OPENSEARCH_MEMLOCK_SOFT:--1} + hard: ${OPENSEARCH_MEMLOCK_HARD:--1} + nofile: + soft: ${OPENSEARCH_NOFILE_SOFT:-65536} + hard: ${OPENSEARCH_NOFILE_HARD:-65536} + volumes: + - ./volumes/opensearch/data:/usr/share/opensearch/data + networks: + - opensearch-net + + opensearch-dashboards: + container_name: opensearch-dashboards + image: opensearchproject/opensearch-dashboards:latest + profiles: + - opensearch + environment: + OPENSEARCH_HOSTS: '["https://opensearch:9200"]' + volumes: + - ./volumes/opensearch/opensearch_dashboards.yml:/usr/share/opensearch-dashboards/config/opensearch_dashboards.yml + networks: + - opensearch-net + depends_on: + - opensearch + + # MyScale vector database + myscale: + container_name: myscale + image: myscale/myscaledb:1.6.4 + profiles: + - myscale + restart: always + tty: true + volumes: + - ./volumes/myscale/data:/var/lib/clickhouse + - ./volumes/myscale/log:/var/log/clickhouse-server + - ./volumes/myscale/config/users.d/custom_users_config.xml:/etc/clickhouse-server/users.d/custom_users_config.xml + ports: + - ${MYSCALE_PORT:-8123}:${MYSCALE_PORT:-8123} + + # https://www.elastic.co/guide/en/elasticsearch/reference/current/settings.html + # https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html#docker-prod-prerequisites + elasticsearch: + image: docker.elastic.co/elasticsearch/elasticsearch:8.14.3 + container_name: elasticsearch + profiles: + - elasticsearch + restart: always + volumes: + - dify_es01_data:/usr/share/elasticsearch/data + environment: + ELASTIC_PASSWORD: ${ELASTICSEARCH_PASSWORD:-elastic} + cluster.name: dify-es-cluster + node.name: dify-es0 + discovery.type: single-node + xpack.license.self_generated.type: trial + xpack.security.enabled: 'true' + xpack.security.enrollment.enabled: 'false' + xpack.security.http.ssl.enabled: 'false' + ports: + - ${ELASTICSEARCH_PORT:-9200}:9200 + healthcheck: + test: ['CMD', 'curl', '-s', 'http://localhost:9200/_cluster/health?pretty'] + interval: 30s + timeout: 10s + retries: 50 + + # https://www.elastic.co/guide/en/kibana/current/docker.html + # https://www.elastic.co/guide/en/kibana/current/settings.html + kibana: + image: docker.elastic.co/kibana/kibana:8.14.3 + container_name: kibana + profiles: + - elasticsearch + depends_on: + - elasticsearch + restart: always + environment: + XPACK_ENCRYPTEDSAVEDOBJECTS_ENCRYPTIONKEY: d1a66dfd-c4d3-4a0a-8290-2abcb83ab3aa + NO_PROXY: localhost,127.0.0.1,elasticsearch,kibana + XPACK_SECURITY_ENABLED: 'true' + XPACK_SECURITY_ENROLLMENT_ENABLED: 'false' + XPACK_SECURITY_HTTP_SSL_ENABLED: 'false' + XPACK_FLEET_ISAIRGAPPED: 'true' + I18N_LOCALE: zh-CN + SERVER_PORT: '5601' + ELASTICSEARCH_HOSTS: http://elasticsearch:9200 + ports: + - ${KIBANA_PORT:-5601}:5601 + healthcheck: + test: ['CMD-SHELL', 'curl -s http://localhost:5601 >/dev/null || exit 1'] + interval: 30s + timeout: 10s + retries: 3 + + # unstructured . + # (if used, you need to set ETL_TYPE to Unstructured in the api & worker service.) + unstructured: + image: downloads.unstructured.io/unstructured-io/unstructured-api:latest + profiles: + - unstructured + restart: always + volumes: + - ./volumes/unstructured:/app/data + +networks: + # create a network between sandbox, api and ssrf_proxy, and can not access outside. + ssrf_proxy_network: + driver: bridge + internal: true + milvus: + driver: bridge + opensearch-net: + driver: bridge + internal: true + +volumes: + oradata: + dify_es01_data: diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index 6872e5b5da..5cda756b1b 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -1,28 +1,33 @@ +# ================================================================== +# WARNING: This file is auto-generated by generate_docker_compose +# Do not modify this file directly. Instead, update the .env.example +# or docker-compose-template.yaml and regenerate this file. +# ================================================================== + x-shared-env: &shared-api-worker-env - WORKFLOW_FILE_UPLOAD_LIMIT: ${WORKFLOW_FILE_UPLOAD_LIMIT:-10} + CONSOLE_API_URL: ${CONSOLE_API_URL:-} + CONSOLE_WEB_URL: ${CONSOLE_WEB_URL:-} + SERVICE_API_URL: ${SERVICE_API_URL:-} + APP_API_URL: ${APP_API_URL:-} + APP_WEB_URL: ${APP_WEB_URL:-} + FILES_URL: ${FILES_URL:-} LOG_LEVEL: ${LOG_LEVEL:-INFO} - LOG_FILE: ${LOG_FILE:-} + LOG_FILE: ${LOG_FILE:-/app/logs/server.log} LOG_FILE_MAX_SIZE: ${LOG_FILE_MAX_SIZE:-20} LOG_FILE_BACKUP_COUNT: ${LOG_FILE_BACKUP_COUNT:-5} - # Log dateformat - LOG_DATEFORMAT: ${LOG_DATEFORMAT:-%Y-%m-%d %H:%M:%S} - # Log Timezone + LOG_DATEFORMAT: ${LOG_DATEFORMAT:-"%Y-%m-%d %H:%M:%S"} LOG_TZ: ${LOG_TZ:-UTC} DEBUG: ${DEBUG:-false} FLASK_DEBUG: ${FLASK_DEBUG:-false} SECRET_KEY: ${SECRET_KEY:-sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U} INIT_PASSWORD: ${INIT_PASSWORD:-} - CONSOLE_WEB_URL: ${CONSOLE_WEB_URL:-} - CONSOLE_API_URL: ${CONSOLE_API_URL:-} - SERVICE_API_URL: ${SERVICE_API_URL:-} - APP_WEB_URL: ${APP_WEB_URL:-} - CHECK_UPDATE_URL: ${CHECK_UPDATE_URL:-https://updates.dify.ai} - OPENAI_API_BASE: ${OPENAI_API_BASE:-https://api.openai.com/v1} - FILES_URL: ${FILES_URL:-} - FILES_ACCESS_TIMEOUT: ${FILES_ACCESS_TIMEOUT:-300} - APP_MAX_ACTIVE_REQUESTS: ${APP_MAX_ACTIVE_REQUESTS:-0} - MIGRATION_ENABLED: ${MIGRATION_ENABLED:-true} DEPLOY_ENV: ${DEPLOY_ENV:-PRODUCTION} + CHECK_UPDATE_URL: ${CHECK_UPDATE_URL:-"https://updates.dify.ai"} + OPENAI_API_BASE: ${OPENAI_API_BASE:-"https://api.openai.com/v1"} + MIGRATION_ENABLED: ${MIGRATION_ENABLED:-true} + FILES_ACCESS_TIMEOUT: ${FILES_ACCESS_TIMEOUT:-300} + ACCESS_TOKEN_EXPIRE_MINUTES: ${ACCESS_TOKEN_EXPIRE_MINUTES:-60} + APP_MAX_ACTIVE_REQUESTS: ${APP_MAX_ACTIVE_REQUESTS:-0} DIFY_BIND_ADDRESS: ${DIFY_BIND_ADDRESS:-0.0.0.0} DIFY_PORT: ${DIFY_PORT:-5001} SERVER_WORKER_AMOUNT: ${SERVER_WORKER_AMOUNT:-} @@ -43,6 +48,11 @@ x-shared-env: &shared-api-worker-env SQLALCHEMY_POOL_SIZE: ${SQLALCHEMY_POOL_SIZE:-30} SQLALCHEMY_POOL_RECYCLE: ${SQLALCHEMY_POOL_RECYCLE:-3600} SQLALCHEMY_ECHO: ${SQLALCHEMY_ECHO:-false} + POSTGRES_MAX_CONNECTIONS: ${POSTGRES_MAX_CONNECTIONS:-100} + POSTGRES_SHARED_BUFFERS: ${POSTGRES_SHARED_BUFFERS:-128MB} + POSTGRES_WORK_MEM: ${POSTGRES_WORK_MEM:-4MB} + POSTGRES_MAINTENANCE_WORK_MEM: ${POSTGRES_MAINTENANCE_WORK_MEM:-64MB} + POSTGRES_EFFECTIVE_CACHE_SIZE: ${POSTGRES_EFFECTIVE_CACHE_SIZE:-4096MB} REDIS_HOST: ${REDIS_HOST:-redis} REDIS_PORT: ${REDIS_PORT:-6379} REDIS_USERNAME: ${REDIS_USERNAME:-} @@ -55,75 +65,73 @@ x-shared-env: &shared-api-worker-env REDIS_SENTINEL_USERNAME: ${REDIS_SENTINEL_USERNAME:-} REDIS_SENTINEL_PASSWORD: ${REDIS_SENTINEL_PASSWORD:-} REDIS_SENTINEL_SOCKET_TIMEOUT: ${REDIS_SENTINEL_SOCKET_TIMEOUT:-0.1} - REDIS_CLUSTERS: ${REDIS_CLUSTERS:-} REDIS_USE_CLUSTERS: ${REDIS_USE_CLUSTERS:-false} + REDIS_CLUSTERS: ${REDIS_CLUSTERS:-} REDIS_CLUSTERS_PASSWORD: ${REDIS_CLUSTERS_PASSWORD:-} - ACCESS_TOKEN_EXPIRE_MINUTES: ${ACCESS_TOKEN_EXPIRE_MINUTES:-60} - CELERY_BROKER_URL: ${CELERY_BROKER_URL:-redis://:difyai123456@redis:6379/1} + CELERY_BROKER_URL: ${CELERY_BROKER_URL:-"redis://:difyai123456@redis:6379/1"} BROKER_USE_SSL: ${BROKER_USE_SSL:-false} CELERY_USE_SENTINEL: ${CELERY_USE_SENTINEL:-false} CELERY_SENTINEL_MASTER_NAME: ${CELERY_SENTINEL_MASTER_NAME:-} CELERY_SENTINEL_SOCKET_TIMEOUT: ${CELERY_SENTINEL_SOCKET_TIMEOUT:-0.1} WEB_API_CORS_ALLOW_ORIGINS: ${WEB_API_CORS_ALLOW_ORIGINS:-*} CONSOLE_CORS_ALLOW_ORIGINS: ${CONSOLE_CORS_ALLOW_ORIGINS:-*} - STORAGE_TYPE: ${STORAGE_TYPE:-local} - STORAGE_LOCAL_PATH: ${STORAGE_LOCAL_PATH:-storage} - S3_USE_AWS_MANAGED_IAM: ${S3_USE_AWS_MANAGED_IAM:-false} + STORAGE_TYPE: ${STORAGE_TYPE:-opendal} + OPENDAL_SCHEME: ${OPENDAL_SCHEME:-fs} + OPENDAL_FS_ROOT: ${OPENDAL_FS_ROOT:-storage} S3_ENDPOINT: ${S3_ENDPOINT:-} - S3_BUCKET_NAME: ${S3_BUCKET_NAME:-} + S3_REGION: ${S3_REGION:-us-east-1} + S3_BUCKET_NAME: ${S3_BUCKET_NAME:-difyai} S3_ACCESS_KEY: ${S3_ACCESS_KEY:-} S3_SECRET_KEY: ${S3_SECRET_KEY:-} - S3_REGION: ${S3_REGION:-us-east-1} - AZURE_BLOB_ACCOUNT_NAME: ${AZURE_BLOB_ACCOUNT_NAME:-} - AZURE_BLOB_ACCOUNT_KEY: ${AZURE_BLOB_ACCOUNT_KEY:-} - AZURE_BLOB_CONTAINER_NAME: ${AZURE_BLOB_CONTAINER_NAME:-} - AZURE_BLOB_ACCOUNT_URL: ${AZURE_BLOB_ACCOUNT_URL:-} - GOOGLE_STORAGE_BUCKET_NAME: ${GOOGLE_STORAGE_BUCKET_NAME:-} - GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: ${GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64:-} - ALIYUN_OSS_BUCKET_NAME: ${ALIYUN_OSS_BUCKET_NAME:-} - ALIYUN_OSS_ACCESS_KEY: ${ALIYUN_OSS_ACCESS_KEY:-} - ALIYUN_OSS_SECRET_KEY: ${ALIYUN_OSS_SECRET_KEY:-} - ALIYUN_OSS_ENDPOINT: ${ALIYUN_OSS_ENDPOINT:-} - ALIYUN_OSS_REGION: ${ALIYUN_OSS_REGION:-} + S3_USE_AWS_MANAGED_IAM: ${S3_USE_AWS_MANAGED_IAM:-false} + AZURE_BLOB_ACCOUNT_NAME: ${AZURE_BLOB_ACCOUNT_NAME:-difyai} + AZURE_BLOB_ACCOUNT_KEY: ${AZURE_BLOB_ACCOUNT_KEY:-difyai} + AZURE_BLOB_CONTAINER_NAME: ${AZURE_BLOB_CONTAINER_NAME:-difyai-container} + AZURE_BLOB_ACCOUNT_URL: ${AZURE_BLOB_ACCOUNT_URL:-"https://.blob.core.windows.net"} + GOOGLE_STORAGE_BUCKET_NAME: ${GOOGLE_STORAGE_BUCKET_NAME:-your-bucket-name} + GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: ${GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64:-your-google-service-account-json-base64-string} + ALIYUN_OSS_BUCKET_NAME: ${ALIYUN_OSS_BUCKET_NAME:-your-bucket-name} + ALIYUN_OSS_ACCESS_KEY: ${ALIYUN_OSS_ACCESS_KEY:-your-access-key} + ALIYUN_OSS_SECRET_KEY: ${ALIYUN_OSS_SECRET_KEY:-your-secret-key} + ALIYUN_OSS_ENDPOINT: ${ALIYUN_OSS_ENDPOINT:-"https://oss-ap-southeast-1-internal.aliyuncs.com"} + ALIYUN_OSS_REGION: ${ALIYUN_OSS_REGION:-ap-southeast-1} ALIYUN_OSS_AUTH_VERSION: ${ALIYUN_OSS_AUTH_VERSION:-v4} - ALIYUN_OSS_PATH: ${ALIYUN_OSS_PATH:-} - TENCENT_COS_BUCKET_NAME: ${TENCENT_COS_BUCKET_NAME:-} - TENCENT_COS_SECRET_KEY: ${TENCENT_COS_SECRET_KEY:-} - TENCENT_COS_SECRET_ID: ${TENCENT_COS_SECRET_ID:-} - TENCENT_COS_REGION: ${TENCENT_COS_REGION:-} - TENCENT_COS_SCHEME: ${TENCENT_COS_SCHEME:-} - HUAWEI_OBS_BUCKET_NAME: ${HUAWEI_OBS_BUCKET_NAME:-} - HUAWEI_OBS_SECRET_KEY: ${HUAWEI_OBS_SECRET_KEY:-} - HUAWEI_OBS_ACCESS_KEY: ${HUAWEI_OBS_ACCESS_KEY:-} - HUAWEI_OBS_SERVER: ${HUAWEI_OBS_SERVER:-} - OCI_ENDPOINT: ${OCI_ENDPOINT:-} - OCI_BUCKET_NAME: ${OCI_BUCKET_NAME:-} - OCI_ACCESS_KEY: ${OCI_ACCESS_KEY:-} - OCI_SECRET_KEY: ${OCI_SECRET_KEY:-} - OCI_REGION: ${OCI_REGION:-} - VOLCENGINE_TOS_BUCKET_NAME: ${VOLCENGINE_TOS_BUCKET_NAME:-} - VOLCENGINE_TOS_SECRET_KEY: ${VOLCENGINE_TOS_SECRET_KEY:-} - VOLCENGINE_TOS_ACCESS_KEY: ${VOLCENGINE_TOS_ACCESS_KEY:-} - VOLCENGINE_TOS_ENDPOINT: ${VOLCENGINE_TOS_ENDPOINT:-} - VOLCENGINE_TOS_REGION: ${VOLCENGINE_TOS_REGION:-} - BAIDU_OBS_BUCKET_NAME: ${BAIDU_OBS_BUCKET_NAME:-} - BAIDU_OBS_SECRET_KEY: ${BAIDU_OBS_SECRET_KEY:-} - BAIDU_OBS_ACCESS_KEY: ${BAIDU_OBS_ACCESS_KEY:-} - BAIDU_OBS_ENDPOINT: ${BAIDU_OBS_ENDPOINT:-} + ALIYUN_OSS_PATH: ${ALIYUN_OSS_PATH:-your-path} + TENCENT_COS_BUCKET_NAME: ${TENCENT_COS_BUCKET_NAME:-your-bucket-name} + TENCENT_COS_SECRET_KEY: ${TENCENT_COS_SECRET_KEY:-your-secret-key} + TENCENT_COS_SECRET_ID: ${TENCENT_COS_SECRET_ID:-your-secret-id} + TENCENT_COS_REGION: ${TENCENT_COS_REGION:-your-region} + TENCENT_COS_SCHEME: ${TENCENT_COS_SCHEME:-your-scheme} + OCI_ENDPOINT: ${OCI_ENDPOINT:-"https://objectstorage.us-ashburn-1.oraclecloud.com"} + OCI_BUCKET_NAME: ${OCI_BUCKET_NAME:-your-bucket-name} + OCI_ACCESS_KEY: ${OCI_ACCESS_KEY:-your-access-key} + OCI_SECRET_KEY: ${OCI_SECRET_KEY:-your-secret-key} + OCI_REGION: ${OCI_REGION:-us-ashburn-1} + HUAWEI_OBS_BUCKET_NAME: ${HUAWEI_OBS_BUCKET_NAME:-your-bucket-name} + HUAWEI_OBS_SECRET_KEY: ${HUAWEI_OBS_SECRET_KEY:-your-secret-key} + HUAWEI_OBS_ACCESS_KEY: ${HUAWEI_OBS_ACCESS_KEY:-your-access-key} + HUAWEI_OBS_SERVER: ${HUAWEI_OBS_SERVER:-your-server-url} + VOLCENGINE_TOS_BUCKET_NAME: ${VOLCENGINE_TOS_BUCKET_NAME:-your-bucket-name} + VOLCENGINE_TOS_SECRET_KEY: ${VOLCENGINE_TOS_SECRET_KEY:-your-secret-key} + VOLCENGINE_TOS_ACCESS_KEY: ${VOLCENGINE_TOS_ACCESS_KEY:-your-access-key} + VOLCENGINE_TOS_ENDPOINT: ${VOLCENGINE_TOS_ENDPOINT:-your-server-url} + VOLCENGINE_TOS_REGION: ${VOLCENGINE_TOS_REGION:-your-region} + BAIDU_OBS_BUCKET_NAME: ${BAIDU_OBS_BUCKET_NAME:-your-bucket-name} + BAIDU_OBS_SECRET_KEY: ${BAIDU_OBS_SECRET_KEY:-your-secret-key} + BAIDU_OBS_ACCESS_KEY: ${BAIDU_OBS_ACCESS_KEY:-your-access-key} + BAIDU_OBS_ENDPOINT: ${BAIDU_OBS_ENDPOINT:-your-server-url} + SUPABASE_BUCKET_NAME: ${SUPABASE_BUCKET_NAME:-your-bucket-name} + SUPABASE_API_KEY: ${SUPABASE_API_KEY:-your-access-key} + SUPABASE_URL: ${SUPABASE_URL:-your-server-url} VECTOR_STORE: ${VECTOR_STORE:-weaviate} - WEAVIATE_ENDPOINT: ${WEAVIATE_ENDPOINT:-http://weaviate:8080} + WEAVIATE_ENDPOINT: ${WEAVIATE_ENDPOINT:-"http://weaviate:8080"} WEAVIATE_API_KEY: ${WEAVIATE_API_KEY:-WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih} - QDRANT_URL: ${QDRANT_URL:-http://qdrant:6333} + QDRANT_URL: ${QDRANT_URL:-"http://qdrant:6333"} QDRANT_API_KEY: ${QDRANT_API_KEY:-difyai123456} QDRANT_CLIENT_TIMEOUT: ${QDRANT_CLIENT_TIMEOUT:-20} QDRANT_GRPC_ENABLED: ${QDRANT_GRPC_ENABLED:-false} QDRANT_GRPC_PORT: ${QDRANT_GRPC_PORT:-6334} - COUCHBASE_CONNECTION_STRING: ${COUCHBASE_CONNECTION_STRING:-'couchbase-server'} - COUCHBASE_USER: ${COUCHBASE_USER:-Administrator} - COUCHBASE_PASSWORD: ${COUCHBASE_PASSWORD:-password} - COUCHBASE_BUCKET_NAME: ${COUCHBASE_BUCKET_NAME:-Embeddings} - COUCHBASE_SCOPE_NAME: ${COUCHBASE_SCOPE_NAME:-_default} - MILVUS_URI: ${MILVUS_URI:-http://127.0.0.1:19530} + MILVUS_URI: ${MILVUS_URI:-"http://127.0.0.1:19530"} MILVUS_TOKEN: ${MILVUS_TOKEN:-} MILVUS_USER: ${MILVUS_USER:-root} MILVUS_PASSWORD: ${MILVUS_PASSWORD:-Milvus} @@ -133,172 +141,264 @@ x-shared-env: &shared-api-worker-env MYSCALE_PASSWORD: ${MYSCALE_PASSWORD:-} MYSCALE_DATABASE: ${MYSCALE_DATABASE:-dify} MYSCALE_FTS_PARAMS: ${MYSCALE_FTS_PARAMS:-} - RELYT_HOST: ${RELYT_HOST:-db} - RELYT_PORT: ${RELYT_PORT:-5432} - RELYT_USER: ${RELYT_USER:-postgres} - RELYT_PASSWORD: ${RELYT_PASSWORD:-difyai123456} - RELYT_DATABASE: ${RELYT_DATABASE:-postgres} + COUCHBASE_CONNECTION_STRING: ${COUCHBASE_CONNECTION_STRING:-"couchbase://couchbase-server"} + COUCHBASE_USER: ${COUCHBASE_USER:-Administrator} + COUCHBASE_PASSWORD: ${COUCHBASE_PASSWORD:-password} + COUCHBASE_BUCKET_NAME: ${COUCHBASE_BUCKET_NAME:-Embeddings} + COUCHBASE_SCOPE_NAME: ${COUCHBASE_SCOPE_NAME:-_default} PGVECTOR_HOST: ${PGVECTOR_HOST:-pgvector} PGVECTOR_PORT: ${PGVECTOR_PORT:-5432} PGVECTOR_USER: ${PGVECTOR_USER:-postgres} PGVECTOR_PASSWORD: ${PGVECTOR_PASSWORD:-difyai123456} PGVECTOR_DATABASE: ${PGVECTOR_DATABASE:-dify} + PGVECTOR_MIN_CONNECTION: ${PGVECTOR_MIN_CONNECTION:-1} + PGVECTOR_MAX_CONNECTION: ${PGVECTOR_MAX_CONNECTION:-5} + PGVECTO_RS_HOST: ${PGVECTO_RS_HOST:-pgvecto-rs} + PGVECTO_RS_PORT: ${PGVECTO_RS_PORT:-5432} + PGVECTO_RS_USER: ${PGVECTO_RS_USER:-postgres} + PGVECTO_RS_PASSWORD: ${PGVECTO_RS_PASSWORD:-difyai123456} + PGVECTO_RS_DATABASE: ${PGVECTO_RS_DATABASE:-dify} + ANALYTICDB_KEY_ID: ${ANALYTICDB_KEY_ID:-your-ak} + ANALYTICDB_KEY_SECRET: ${ANALYTICDB_KEY_SECRET:-your-sk} + ANALYTICDB_REGION_ID: ${ANALYTICDB_REGION_ID:-cn-hangzhou} + ANALYTICDB_INSTANCE_ID: ${ANALYTICDB_INSTANCE_ID:-gp-ab123456} + ANALYTICDB_ACCOUNT: ${ANALYTICDB_ACCOUNT:-testaccount} + ANALYTICDB_PASSWORD: ${ANALYTICDB_PASSWORD:-testpassword} + ANALYTICDB_NAMESPACE: ${ANALYTICDB_NAMESPACE:-dify} + ANALYTICDB_NAMESPACE_PASSWORD: ${ANALYTICDB_NAMESPACE_PASSWORD:-difypassword} + ANALYTICDB_HOST: ${ANALYTICDB_HOST:-gp-test.aliyuncs.com} + ANALYTICDB_PORT: ${ANALYTICDB_PORT:-5432} + ANALYTICDB_MIN_CONNECTION: ${ANALYTICDB_MIN_CONNECTION:-1} + ANALYTICDB_MAX_CONNECTION: ${ANALYTICDB_MAX_CONNECTION:-5} TIDB_VECTOR_HOST: ${TIDB_VECTOR_HOST:-tidb} TIDB_VECTOR_PORT: ${TIDB_VECTOR_PORT:-4000} TIDB_VECTOR_USER: ${TIDB_VECTOR_USER:-} TIDB_VECTOR_PASSWORD: ${TIDB_VECTOR_PASSWORD:-} TIDB_VECTOR_DATABASE: ${TIDB_VECTOR_DATABASE:-dify} - TIDB_ON_QDRANT_URL: ${TIDB_ON_QDRANT_URL:-http://127.0.0.1} + TIDB_ON_QDRANT_URL: ${TIDB_ON_QDRANT_URL:-"http://127.0.0.1"} TIDB_ON_QDRANT_API_KEY: ${TIDB_ON_QDRANT_API_KEY:-dify} TIDB_ON_QDRANT_CLIENT_TIMEOUT: ${TIDB_ON_QDRANT_CLIENT_TIMEOUT:-20} TIDB_ON_QDRANT_GRPC_ENABLED: ${TIDB_ON_QDRANT_GRPC_ENABLED:-false} TIDB_ON_QDRANT_GRPC_PORT: ${TIDB_ON_QDRANT_GRPC_PORT:-6334} TIDB_PUBLIC_KEY: ${TIDB_PUBLIC_KEY:-dify} TIDB_PRIVATE_KEY: ${TIDB_PRIVATE_KEY:-dify} - TIDB_API_URL: ${TIDB_API_URL:-http://127.0.0.1} - TIDB_IAM_API_URL: ${TIDB_IAM_API_URL:-http://127.0.0.1} + TIDB_API_URL: ${TIDB_API_URL:-"http://127.0.0.1"} + TIDB_IAM_API_URL: ${TIDB_IAM_API_URL:-"http://127.0.0.1"} TIDB_REGION: ${TIDB_REGION:-regions/aws-us-east-1} TIDB_PROJECT_ID: ${TIDB_PROJECT_ID:-dify} TIDB_SPEND_LIMIT: ${TIDB_SPEND_LIMIT:-100} - ORACLE_HOST: ${ORACLE_HOST:-oracle} - ORACLE_PORT: ${ORACLE_PORT:-1521} - ORACLE_USER: ${ORACLE_USER:-dify} - ORACLE_PASSWORD: ${ORACLE_PASSWORD:-dify} - ORACLE_DATABASE: ${ORACLE_DATABASE:-FREEPDB1} CHROMA_HOST: ${CHROMA_HOST:-127.0.0.1} CHROMA_PORT: ${CHROMA_PORT:-8000} CHROMA_TENANT: ${CHROMA_TENANT:-default_tenant} CHROMA_DATABASE: ${CHROMA_DATABASE:-default_database} CHROMA_AUTH_PROVIDER: ${CHROMA_AUTH_PROVIDER:-chromadb.auth.token_authn.TokenAuthClientProvider} CHROMA_AUTH_CREDENTIALS: ${CHROMA_AUTH_CREDENTIALS:-} - ELASTICSEARCH_HOST: ${ELASTICSEARCH_HOST:-0.0.0.0} - ELASTICSEARCH_PORT: ${ELASTICSEARCH_PORT:-9200} - ELASTICSEARCH_USERNAME: ${ELASTICSEARCH_USERNAME:-elastic} - ELASTICSEARCH_PASSWORD: ${ELASTICSEARCH_PASSWORD:-elastic} - LINDORM_URL: ${LINDORM_URL:-http://lindorm:30070} - LINDORM_USERNAME: ${LINDORM_USERNAME:-lindorm} - LINDORM_PASSWORD: ${LINDORM_PASSWORD:-lindorm } - KIBANA_PORT: ${KIBANA_PORT:-5601} - # AnalyticDB configuration - ANALYTICDB_KEY_ID: ${ANALYTICDB_KEY_ID:-} - ANALYTICDB_KEY_SECRET: ${ANALYTICDB_KEY_SECRET:-} - ANALYTICDB_REGION_ID: ${ANALYTICDB_REGION_ID:-} - ANALYTICDB_INSTANCE_ID: ${ANALYTICDB_INSTANCE_ID:-} - ANALYTICDB_ACCOUNT: ${ANALYTICDB_ACCOUNT:-} - ANALYTICDB_PASSWORD: ${ANALYTICDB_PASSWORD:-} - ANALYTICDB_NAMESPACE: ${ANALYTICDB_NAMESPACE:-dify} - ANALYTICDB_NAMESPACE_PASSWORD: ${ANALYTICDB_NAMESPACE_PASSWORD:-} - ANALYTICDB_HOST: ${ANALYTICDB_HOST:-} - ANALYTICDB_PORT: ${ANALYTICDB_PORT:-5432} - ANALYTICDB_MIN_CONNECTION: ${ANALYTICDB_MIN_CONNECTION:-1} - ANALYTICDB_MAX_CONNECTION: ${ANALYTICDB_MAX_CONNECTION:-5} + ORACLE_HOST: ${ORACLE_HOST:-oracle} + ORACLE_PORT: ${ORACLE_PORT:-1521} + ORACLE_USER: ${ORACLE_USER:-dify} + ORACLE_PASSWORD: ${ORACLE_PASSWORD:-dify} + ORACLE_DATABASE: ${ORACLE_DATABASE:-FREEPDB1} + RELYT_HOST: ${RELYT_HOST:-db} + RELYT_PORT: ${RELYT_PORT:-5432} + RELYT_USER: ${RELYT_USER:-postgres} + RELYT_PASSWORD: ${RELYT_PASSWORD:-difyai123456} + RELYT_DATABASE: ${RELYT_DATABASE:-postgres} OPENSEARCH_HOST: ${OPENSEARCH_HOST:-opensearch} OPENSEARCH_PORT: ${OPENSEARCH_PORT:-9200} OPENSEARCH_USER: ${OPENSEARCH_USER:-admin} OPENSEARCH_PASSWORD: ${OPENSEARCH_PASSWORD:-admin} OPENSEARCH_SECURE: ${OPENSEARCH_SECURE:-true} - TENCENT_VECTOR_DB_URL: ${TENCENT_VECTOR_DB_URL:-http://127.0.0.1} + TENCENT_VECTOR_DB_URL: ${TENCENT_VECTOR_DB_URL:-"http://127.0.0.1"} TENCENT_VECTOR_DB_API_KEY: ${TENCENT_VECTOR_DB_API_KEY:-dify} TENCENT_VECTOR_DB_TIMEOUT: ${TENCENT_VECTOR_DB_TIMEOUT:-30} TENCENT_VECTOR_DB_USERNAME: ${TENCENT_VECTOR_DB_USERNAME:-dify} TENCENT_VECTOR_DB_DATABASE: ${TENCENT_VECTOR_DB_DATABASE:-dify} TENCENT_VECTOR_DB_SHARD: ${TENCENT_VECTOR_DB_SHARD:-1} TENCENT_VECTOR_DB_REPLICAS: ${TENCENT_VECTOR_DB_REPLICAS:-2} - BAIDU_VECTOR_DB_ENDPOINT: ${BAIDU_VECTOR_DB_ENDPOINT:-http://127.0.0.1:5287} + ELASTICSEARCH_HOST: ${ELASTICSEARCH_HOST:-0.0.0.0} + ELASTICSEARCH_PORT: ${ELASTICSEARCH_PORT:-9200} + ELASTICSEARCH_USERNAME: ${ELASTICSEARCH_USERNAME:-elastic} + ELASTICSEARCH_PASSWORD: ${ELASTICSEARCH_PASSWORD:-elastic} + KIBANA_PORT: ${KIBANA_PORT:-5601} + BAIDU_VECTOR_DB_ENDPOINT: ${BAIDU_VECTOR_DB_ENDPOINT:-"http://127.0.0.1:5287"} BAIDU_VECTOR_DB_CONNECTION_TIMEOUT_MS: ${BAIDU_VECTOR_DB_CONNECTION_TIMEOUT_MS:-30000} BAIDU_VECTOR_DB_ACCOUNT: ${BAIDU_VECTOR_DB_ACCOUNT:-root} BAIDU_VECTOR_DB_API_KEY: ${BAIDU_VECTOR_DB_API_KEY:-dify} BAIDU_VECTOR_DB_DATABASE: ${BAIDU_VECTOR_DB_DATABASE:-dify} BAIDU_VECTOR_DB_SHARD: ${BAIDU_VECTOR_DB_SHARD:-1} BAIDU_VECTOR_DB_REPLICAS: ${BAIDU_VECTOR_DB_REPLICAS:-3} - VIKINGDB_ACCESS_KEY: ${VIKINGDB_ACCESS_KEY:-dify} - VIKINGDB_SECRET_KEY: ${VIKINGDB_SECRET_KEY:-dify} + VIKINGDB_ACCESS_KEY: ${VIKINGDB_ACCESS_KEY:-your-ak} + VIKINGDB_SECRET_KEY: ${VIKINGDB_SECRET_KEY:-your-sk} VIKINGDB_REGION: ${VIKINGDB_REGION:-cn-shanghai} VIKINGDB_HOST: ${VIKINGDB_HOST:-api-vikingdb.xxx.volces.com} VIKINGDB_SCHEMA: ${VIKINGDB_SCHEMA:-http} - UPSTASH_VECTOR_URL: ${UPSTASH_VECTOR_URL:-https://xxx-vector.upstash.io} - UPSTASH_VECTOR_TOKEN: ${UPSTASH_VECTOR_TOKEN:-dify} - UPLOAD_FILE_SIZE_LIMIT: ${UPLOAD_FILE_SIZE_LIMIT:-15} - UPLOAD_FILE_BATCH_LIMIT: ${UPLOAD_FILE_BATCH_LIMIT:-5} - ETL_TYPE: ${ETL_TYPE:-dify} - UNSTRUCTURED_API_URL: ${UNSTRUCTURED_API_URL:-} - UNSTRUCTURED_API_KEY: ${UNSTRUCTURED_API_KEY:-} - PROMPT_GENERATION_MAX_TOKENS: ${PROMPT_GENERATION_MAX_TOKENS:-512} - CODE_GENERATION_MAX_TOKENS: ${CODE_GENERATION_MAX_TOKENS:-1024} - MULTIMODAL_SEND_IMAGE_FORMAT: ${MULTIMODAL_SEND_IMAGE_FORMAT:-base64} - MULTIMODAL_SEND_VIDEO_FORMAT: ${MULTIMODAL_SEND_VIDEO_FORMAT:-base64} - UPLOAD_IMAGE_FILE_SIZE_LIMIT: ${UPLOAD_IMAGE_FILE_SIZE_LIMIT:-10} - UPLOAD_VIDEO_FILE_SIZE_LIMIT: ${UPLOAD_VIDEO_FILE_SIZE_LIMIT:-100} - UPLOAD_AUDIO_FILE_SIZE_LIMIT: ${UPLOAD_AUDIO_FILE_SIZE_LIMIT:-50} - SENTRY_DSN: ${API_SENTRY_DSN:-} - SENTRY_TRACES_SAMPLE_RATE: ${API_SENTRY_TRACES_SAMPLE_RATE:-1.0} - SENTRY_PROFILES_SAMPLE_RATE: ${API_SENTRY_PROFILES_SAMPLE_RATE:-1.0} - NOTION_INTEGRATION_TYPE: ${NOTION_INTEGRATION_TYPE:-public} - NOTION_CLIENT_SECRET: ${NOTION_CLIENT_SECRET:-} - NOTION_CLIENT_ID: ${NOTION_CLIENT_ID:-} - NOTION_INTERNAL_SECRET: ${NOTION_INTERNAL_SECRET:-} - MAIL_TYPE: ${MAIL_TYPE:-resend} - MAIL_DEFAULT_SEND_FROM: ${MAIL_DEFAULT_SEND_FROM:-} - SMTP_SERVER: ${SMTP_SERVER:-} - SMTP_PORT: ${SMTP_PORT:-465} - SMTP_USERNAME: ${SMTP_USERNAME:-} - SMTP_PASSWORD: ${SMTP_PASSWORD:-} - SMTP_USE_TLS: ${SMTP_USE_TLS:-true} - SMTP_OPPORTUNISTIC_TLS: ${SMTP_OPPORTUNISTIC_TLS:-false} - RESEND_API_KEY: ${RESEND_API_KEY:-your-resend-api-key} - RESEND_API_URL: ${RESEND_API_URL:-https://api.resend.com} - INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: ${INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH:-4000} - INVITE_EXPIRY_HOURS: ${INVITE_EXPIRY_HOURS:-72} - RESET_PASSWORD_TOKEN_EXPIRY_MINUTES: ${RESET_PASSWORD_TOKEN_EXPIRY_MINUTES:-5} - CODE_EXECUTION_ENDPOINT: ${CODE_EXECUTION_ENDPOINT:-http://sandbox:8194} - CODE_EXECUTION_API_KEY: ${SANDBOX_API_KEY:-dify-sandbox} - CODE_EXECUTION_CONNECT_TIMEOUT: ${CODE_EXECUTION_CONNECT_TIMEOUT:-10} - CODE_EXECUTION_READ_TIMEOUT: ${CODE_EXECUTION_READ_TIMEOUT:-60} - CODE_EXECUTION_WRITE_TIMEOUT: ${CODE_EXECUTION_WRITE_TIMEOUT:-10} - 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} - CODE_MAX_OBJECT_ARRAY_LENGTH: ${CODE_MAX_OBJECT_ARRAY_LENGTH:-30} - CODE_MAX_NUMBER_ARRAY_LENGTH: ${CODE_MAX_NUMBER_ARRAY_LENGTH:-1000} - WORKFLOW_MAX_EXECUTION_STEPS: ${WORKFLOW_MAX_EXECUTION_STEPS:-500} - WORKFLOW_MAX_EXECUTION_TIME: ${WORKFLOW_MAX_EXECUTION_TIME:-1200} - WORKFLOW_CALL_MAX_DEPTH: ${WORKFLOW_CALL_MAX_DEPTH:-5} - SSRF_PROXY_HTTP_URL: ${SSRF_PROXY_HTTP_URL:-http://ssrf_proxy:3128} - SSRF_PROXY_HTTPS_URL: ${SSRF_PROXY_HTTPS_URL:-http://ssrf_proxy:3128} - HTTP_REQUEST_NODE_MAX_BINARY_SIZE: ${HTTP_REQUEST_NODE_MAX_BINARY_SIZE:-10485760} - HTTP_REQUEST_NODE_MAX_TEXT_SIZE: ${HTTP_REQUEST_NODE_MAX_TEXT_SIZE:-1048576} - APP_MAX_EXECUTION_TIME: ${APP_MAX_EXECUTION_TIME:-12000} - POSITION_TOOL_PINS: ${POSITION_TOOL_PINS:-} - POSITION_TOOL_INCLUDES: ${POSITION_TOOL_INCLUDES:-} - POSITION_TOOL_EXCLUDES: ${POSITION_TOOL_EXCLUDES:-} - POSITION_PROVIDER_PINS: ${POSITION_PROVIDER_PINS:-} - POSITION_PROVIDER_INCLUDES: ${POSITION_PROVIDER_INCLUDES:-} - POSITION_PROVIDER_EXCLUDES: ${POSITION_PROVIDER_EXCLUDES:-} - MAX_VARIABLE_SIZE: ${MAX_VARIABLE_SIZE:-204800} - OCEANBASE_VECTOR_HOST: ${OCEANBASE_VECTOR_HOST:-http://oceanbase-vector} + VIKINGDB_CONNECTION_TIMEOUT: ${VIKINGDB_CONNECTION_TIMEOUT:-30} + VIKINGDB_SOCKET_TIMEOUT: ${VIKINGDB_SOCKET_TIMEOUT:-30} + LINDORM_URL: ${LINDORM_URL:-"http://lindorm:30070"} + LINDORM_USERNAME: ${LINDORM_USERNAME:-lindorm} + LINDORM_PASSWORD: ${LINDORM_PASSWORD:-lindorm} + OCEANBASE_VECTOR_HOST: ${OCEANBASE_VECTOR_HOST:-oceanbase} OCEANBASE_VECTOR_PORT: ${OCEANBASE_VECTOR_PORT:-2881} OCEANBASE_VECTOR_USER: ${OCEANBASE_VECTOR_USER:-root@test} OCEANBASE_VECTOR_PASSWORD: ${OCEANBASE_VECTOR_PASSWORD:-difyai123456} OCEANBASE_VECTOR_DATABASE: ${OCEANBASE_VECTOR_DATABASE:-test} OCEANBASE_CLUSTER_NAME: ${OCEANBASE_CLUSTER_NAME:-difyai} OCEANBASE_MEMORY_LIMIT: ${OCEANBASE_MEMORY_LIMIT:-6G} + UPSTASH_VECTOR_URL: ${UPSTASH_VECTOR_URL:-"https://xxx-vector.upstash.io"} + UPSTASH_VECTOR_TOKEN: ${UPSTASH_VECTOR_TOKEN:-dify} + UPLOAD_FILE_SIZE_LIMIT: ${UPLOAD_FILE_SIZE_LIMIT:-15} + UPLOAD_FILE_BATCH_LIMIT: ${UPLOAD_FILE_BATCH_LIMIT:-5} + ETL_TYPE: ${ETL_TYPE:-dify} + UNSTRUCTURED_API_URL: ${UNSTRUCTURED_API_URL:-} + UNSTRUCTURED_API_KEY: ${UNSTRUCTURED_API_KEY:-} + SCARF_NO_ANALYTICS: ${SCARF_NO_ANALYTICS:-true} + PROMPT_GENERATION_MAX_TOKENS: ${PROMPT_GENERATION_MAX_TOKENS:-512} + CODE_GENERATION_MAX_TOKENS: ${CODE_GENERATION_MAX_TOKENS:-1024} + MULTIMODAL_SEND_FORMAT: ${MULTIMODAL_SEND_FORMAT:-base64} + UPLOAD_IMAGE_FILE_SIZE_LIMIT: ${UPLOAD_IMAGE_FILE_SIZE_LIMIT:-10} + UPLOAD_VIDEO_FILE_SIZE_LIMIT: ${UPLOAD_VIDEO_FILE_SIZE_LIMIT:-100} + UPLOAD_AUDIO_FILE_SIZE_LIMIT: ${UPLOAD_AUDIO_FILE_SIZE_LIMIT:-50} + API_SENTRY_DSN: ${API_SENTRY_DSN:-} + API_SENTRY_TRACES_SAMPLE_RATE: ${API_SENTRY_TRACES_SAMPLE_RATE:-1.0} + API_SENTRY_PROFILES_SAMPLE_RATE: ${API_SENTRY_PROFILES_SAMPLE_RATE:-1.0} + WEB_SENTRY_DSN: ${WEB_SENTRY_DSN:-} + NOTION_INTEGRATION_TYPE: ${NOTION_INTEGRATION_TYPE:-public} + NOTION_CLIENT_SECRET: ${NOTION_CLIENT_SECRET:-} + NOTION_CLIENT_ID: ${NOTION_CLIENT_ID:-} + NOTION_INTERNAL_SECRET: ${NOTION_INTERNAL_SECRET:-} + MAIL_TYPE: ${MAIL_TYPE:-resend} + MAIL_DEFAULT_SEND_FROM: ${MAIL_DEFAULT_SEND_FROM:-} + RESEND_API_URL: ${RESEND_API_URL:-"https://api.resend.com"} + RESEND_API_KEY: ${RESEND_API_KEY:-your-resend-api-key} + SMTP_SERVER: ${SMTP_SERVER:-} + SMTP_PORT: ${SMTP_PORT:-465} + SMTP_USERNAME: ${SMTP_USERNAME:-} + SMTP_PASSWORD: ${SMTP_PASSWORD:-} + SMTP_USE_TLS: ${SMTP_USE_TLS:-true} + SMTP_OPPORTUNISTIC_TLS: ${SMTP_OPPORTUNISTIC_TLS:-false} + INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: ${INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH:-4000} + INVITE_EXPIRY_HOURS: ${INVITE_EXPIRY_HOURS:-72} + RESET_PASSWORD_TOKEN_EXPIRY_MINUTES: ${RESET_PASSWORD_TOKEN_EXPIRY_MINUTES:-5} + CODE_EXECUTION_ENDPOINT: ${CODE_EXECUTION_ENDPOINT:-"http://sandbox:8194"} + CODE_EXECUTION_API_KEY: ${CODE_EXECUTION_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_PRECISION: ${CODE_MAX_PRECISION:-20} + CODE_MAX_STRING_LENGTH: ${CODE_MAX_STRING_LENGTH:-80000} + CODE_MAX_STRING_ARRAY_LENGTH: ${CODE_MAX_STRING_ARRAY_LENGTH:-30} + CODE_MAX_OBJECT_ARRAY_LENGTH: ${CODE_MAX_OBJECT_ARRAY_LENGTH:-30} + CODE_MAX_NUMBER_ARRAY_LENGTH: ${CODE_MAX_NUMBER_ARRAY_LENGTH:-1000} + CODE_EXECUTION_CONNECT_TIMEOUT: ${CODE_EXECUTION_CONNECT_TIMEOUT:-10} + CODE_EXECUTION_READ_TIMEOUT: ${CODE_EXECUTION_READ_TIMEOUT:-60} + CODE_EXECUTION_WRITE_TIMEOUT: ${CODE_EXECUTION_WRITE_TIMEOUT:-10} + TEMPLATE_TRANSFORM_MAX_LENGTH: ${TEMPLATE_TRANSFORM_MAX_LENGTH:-80000} + WORKFLOW_MAX_EXECUTION_STEPS: ${WORKFLOW_MAX_EXECUTION_STEPS:-500} + WORKFLOW_MAX_EXECUTION_TIME: ${WORKFLOW_MAX_EXECUTION_TIME:-1200} + WORKFLOW_CALL_MAX_DEPTH: ${WORKFLOW_CALL_MAX_DEPTH:-5} + MAX_VARIABLE_SIZE: ${MAX_VARIABLE_SIZE:-204800} + WORKFLOW_FILE_UPLOAD_LIMIT: ${WORKFLOW_FILE_UPLOAD_LIMIT:-10} + HTTP_REQUEST_NODE_MAX_BINARY_SIZE: ${HTTP_REQUEST_NODE_MAX_BINARY_SIZE:-10485760} + HTTP_REQUEST_NODE_MAX_TEXT_SIZE: ${HTTP_REQUEST_NODE_MAX_TEXT_SIZE:-1048576} + SSRF_PROXY_HTTP_URL: ${SSRF_PROXY_HTTP_URL:-"http://ssrf_proxy:3128"} + SSRF_PROXY_HTTPS_URL: ${SSRF_PROXY_HTTPS_URL:-"http://ssrf_proxy:3128"} + TEXT_GENERATION_TIMEOUT_MS: ${TEXT_GENERATION_TIMEOUT_MS:-60000} + PGUSER: ${PGUSER:-${DB_USERNAME}} + POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-${DB_PASSWORD}} + POSTGRES_DB: ${POSTGRES_DB:-${DB_DATABASE}} + PGDATA: ${PGDATA:-/var/lib/postgresql/data/pgdata} + SANDBOX_API_KEY: ${SANDBOX_API_KEY:-dify-sandbox} + SANDBOX_GIN_MODE: ${SANDBOX_GIN_MODE:-release} + SANDBOX_WORKER_TIMEOUT: ${SANDBOX_WORKER_TIMEOUT:-15} + SANDBOX_ENABLE_NETWORK: ${SANDBOX_ENABLE_NETWORK:-true} + SANDBOX_HTTP_PROXY: ${SANDBOX_HTTP_PROXY:-"http://ssrf_proxy:3128"} + SANDBOX_HTTPS_PROXY: ${SANDBOX_HTTPS_PROXY:-"http://ssrf_proxy:3128"} + SANDBOX_PORT: ${SANDBOX_PORT:-8194} + WEAVIATE_PERSISTENCE_DATA_PATH: ${WEAVIATE_PERSISTENCE_DATA_PATH:-/var/lib/weaviate} + WEAVIATE_QUERY_DEFAULTS_LIMIT: ${WEAVIATE_QUERY_DEFAULTS_LIMIT:-25} + WEAVIATE_AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: ${WEAVIATE_AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED:-true} + WEAVIATE_DEFAULT_VECTORIZER_MODULE: ${WEAVIATE_DEFAULT_VECTORIZER_MODULE:-none} + WEAVIATE_CLUSTER_HOSTNAME: ${WEAVIATE_CLUSTER_HOSTNAME:-node1} + WEAVIATE_AUTHENTICATION_APIKEY_ENABLED: ${WEAVIATE_AUTHENTICATION_APIKEY_ENABLED:-true} + WEAVIATE_AUTHENTICATION_APIKEY_ALLOWED_KEYS: ${WEAVIATE_AUTHENTICATION_APIKEY_ALLOWED_KEYS:-WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih} + WEAVIATE_AUTHENTICATION_APIKEY_USERS: ${WEAVIATE_AUTHENTICATION_APIKEY_USERS:-hello@dify.ai} + WEAVIATE_AUTHORIZATION_ADMINLIST_ENABLED: ${WEAVIATE_AUTHORIZATION_ADMINLIST_ENABLED:-true} + WEAVIATE_AUTHORIZATION_ADMINLIST_USERS: ${WEAVIATE_AUTHORIZATION_ADMINLIST_USERS:-hello@dify.ai} + CHROMA_SERVER_AUTHN_CREDENTIALS: ${CHROMA_SERVER_AUTHN_CREDENTIALS:-difyai123456} + CHROMA_SERVER_AUTHN_PROVIDER: ${CHROMA_SERVER_AUTHN_PROVIDER:-chromadb.auth.token_authn.TokenAuthenticationServerProvider} + CHROMA_IS_PERSISTENT: ${CHROMA_IS_PERSISTENT:-TRUE} + ORACLE_PWD: ${ORACLE_PWD:-Dify123456} + ORACLE_CHARACTERSET: ${ORACLE_CHARACTERSET:-AL32UTF8} + ETCD_AUTO_COMPACTION_MODE: ${ETCD_AUTO_COMPACTION_MODE:-revision} + ETCD_AUTO_COMPACTION_RETENTION: ${ETCD_AUTO_COMPACTION_RETENTION:-1000} + ETCD_QUOTA_BACKEND_BYTES: ${ETCD_QUOTA_BACKEND_BYTES:-4294967296} + ETCD_SNAPSHOT_COUNT: ${ETCD_SNAPSHOT_COUNT:-50000} + MINIO_ACCESS_KEY: ${MINIO_ACCESS_KEY:-minioadmin} + MINIO_SECRET_KEY: ${MINIO_SECRET_KEY:-minioadmin} + ETCD_ENDPOINTS: ${ETCD_ENDPOINTS:-"etcd:2379"} + MINIO_ADDRESS: ${MINIO_ADDRESS:-"minio:9000"} + MILVUS_AUTHORIZATION_ENABLED: ${MILVUS_AUTHORIZATION_ENABLED:-true} + PGVECTOR_PGUSER: ${PGVECTOR_PGUSER:-postgres} + PGVECTOR_POSTGRES_PASSWORD: ${PGVECTOR_POSTGRES_PASSWORD:-difyai123456} + PGVECTOR_POSTGRES_DB: ${PGVECTOR_POSTGRES_DB:-dify} + PGVECTOR_PGDATA: ${PGVECTOR_PGDATA:-/var/lib/postgresql/data/pgdata} + OPENSEARCH_DISCOVERY_TYPE: ${OPENSEARCH_DISCOVERY_TYPE:-single-node} + OPENSEARCH_BOOTSTRAP_MEMORY_LOCK: ${OPENSEARCH_BOOTSTRAP_MEMORY_LOCK:-true} + OPENSEARCH_JAVA_OPTS_MIN: ${OPENSEARCH_JAVA_OPTS_MIN:-512m} + OPENSEARCH_JAVA_OPTS_MAX: ${OPENSEARCH_JAVA_OPTS_MAX:-1024m} + OPENSEARCH_INITIAL_ADMIN_PASSWORD: ${OPENSEARCH_INITIAL_ADMIN_PASSWORD:-Qazwsxedc!@#123} + OPENSEARCH_MEMLOCK_SOFT: ${OPENSEARCH_MEMLOCK_SOFT:--1} + OPENSEARCH_MEMLOCK_HARD: ${OPENSEARCH_MEMLOCK_HARD:--1} + OPENSEARCH_NOFILE_SOFT: ${OPENSEARCH_NOFILE_SOFT:-65536} + OPENSEARCH_NOFILE_HARD: ${OPENSEARCH_NOFILE_HARD:-65536} + NGINX_SERVER_NAME: ${NGINX_SERVER_NAME:-_} + NGINX_HTTPS_ENABLED: ${NGINX_HTTPS_ENABLED:-false} + NGINX_PORT: ${NGINX_PORT:-80} + NGINX_SSL_PORT: ${NGINX_SSL_PORT:-443} + NGINX_SSL_CERT_FILENAME: ${NGINX_SSL_CERT_FILENAME:-dify.crt} + NGINX_SSL_CERT_KEY_FILENAME: ${NGINX_SSL_CERT_KEY_FILENAME:-dify.key} + NGINX_SSL_PROTOCOLS: ${NGINX_SSL_PROTOCOLS:-"TLSv1.1 TLSv1.2 TLSv1.3"} + NGINX_WORKER_PROCESSES: ${NGINX_WORKER_PROCESSES:-auto} + NGINX_CLIENT_MAX_BODY_SIZE: ${NGINX_CLIENT_MAX_BODY_SIZE:-15M} + NGINX_KEEPALIVE_TIMEOUT: ${NGINX_KEEPALIVE_TIMEOUT:-65} + NGINX_PROXY_READ_TIMEOUT: ${NGINX_PROXY_READ_TIMEOUT:-3600s} + NGINX_PROXY_SEND_TIMEOUT: ${NGINX_PROXY_SEND_TIMEOUT:-3600s} + NGINX_ENABLE_CERTBOT_CHALLENGE: ${NGINX_ENABLE_CERTBOT_CHALLENGE:-false} + CERTBOT_EMAIL: ${CERTBOT_EMAIL:-your_email@example.com} + CERTBOT_DOMAIN: ${CERTBOT_DOMAIN:-your_domain.com} + CERTBOT_OPTIONS: ${CERTBOT_OPTIONS:-} + SSRF_HTTP_PORT: ${SSRF_HTTP_PORT:-3128} + SSRF_COREDUMP_DIR: ${SSRF_COREDUMP_DIR:-/var/spool/squid} + SSRF_REVERSE_PROXY_PORT: ${SSRF_REVERSE_PROXY_PORT:-8194} + SSRF_SANDBOX_HOST: ${SSRF_SANDBOX_HOST:-sandbox} + COMPOSE_PROFILES: ${COMPOSE_PROFILES:-"${VECTOR_STORE:-weaviate}"} + EXPOSE_NGINX_PORT: ${EXPOSE_NGINX_PORT:-80} + EXPOSE_NGINX_SSL_PORT: ${EXPOSE_NGINX_SSL_PORT:-443} + POSITION_TOOL_PINS: ${POSITION_TOOL_PINS:-} + POSITION_TOOL_INCLUDES: ${POSITION_TOOL_INCLUDES:-} + POSITION_TOOL_EXCLUDES: ${POSITION_TOOL_EXCLUDES:-} + POSITION_PROVIDER_PINS: ${POSITION_PROVIDER_PINS:-} + POSITION_PROVIDER_INCLUDES: ${POSITION_PROVIDER_INCLUDES:-} + POSITION_PROVIDER_EXCLUDES: ${POSITION_PROVIDER_EXCLUDES:-} + CSP_WHITELIST: ${CSP_WHITELIST:-} CREATE_TIDB_SERVICE_JOB_ENABLED: ${CREATE_TIDB_SERVICE_JOB_ENABLED:-false} - RETRIEVAL_TOP_N: ${RETRIEVAL_TOP_N:-0} + MAX_SUBMIT_COUNT: ${MAX_SUBMIT_COUNT:-100} + HTTP_PROXY: ${HTTP_PROXY:-} + HTTPS_PROXY: ${HTTPS_PROXY:-} services: # API service api: - image: langgenius/dify-api:0.13.2 + image: langgenius/dify-api:0.14.0 restart: always environment: # Use the shared environment variables. <<: *shared-api-worker-env # Startup mode, 'api' starts the API server. MODE: api + SENTRY_DSN: ${API_SENTRY_DSN:-} + SENTRY_TRACES_SAMPLE_RATE: ${API_SENTRY_TRACES_SAMPLE_RATE:-1.0} + SENTRY_PROFILES_SAMPLE_RATE: ${API_SENTRY_PROFILES_SAMPLE_RATE:-1.0} depends_on: - db - redis @@ -312,13 +412,16 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:0.13.2 + image: langgenius/dify-api:0.14.0 restart: always environment: # Use the shared environment variables. <<: *shared-api-worker-env # Startup mode, 'worker' starts the Celery worker for processing the queue. MODE: worker + SENTRY_DSN: ${API_SENTRY_DSN:-} + SENTRY_TRACES_SAMPLE_RATE: ${API_SENTRY_TRACES_SAMPLE_RATE:-1.0} + SENTRY_PROFILES_SAMPLE_RATE: ${API_SENTRY_PROFILES_SAMPLE_RATE:-1.0} depends_on: - db - redis @@ -331,7 +434,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:0.13.2 + image: langgenius/dify-web:0.14.0 restart: always environment: CONSOLE_API_URL: ${CONSOLE_API_URL:-} @@ -491,6 +594,16 @@ services: - '${EXPOSE_NGINX_PORT:-80}:${NGINX_PORT:-80}' - '${EXPOSE_NGINX_SSL_PORT:-443}:${NGINX_SSL_PORT:-443}' + # The TiDB vector store. + # For production use, please refer to https://github.com/pingcap/tidb-docker-compose + tidb: + image: pingcap/tidb:v8.4.0 + profiles: + - tidb + command: + - --store=unistore + restart: always + # The Weaviate vector store. weaviate: image: semitechnologies/weaviate:1.19.0 diff --git a/docker/generate_docker_compose b/docker/generate_docker_compose new file mode 100755 index 0000000000..54b6d55217 --- /dev/null +++ b/docker/generate_docker_compose @@ -0,0 +1,110 @@ +#!/usr/bin/env python3 +import os +import re +import sys + + +def parse_env_example(file_path): + """ + Parses the .env.example file and returns a dictionary with variable names as keys and default values as values. + """ + env_vars = {} + with open(file_path, "r") as f: + for line_number, line in enumerate(f, 1): + line = line.strip() + # Ignore empty lines and comments + if not line or line.startswith("#"): + continue + # Use regex to parse KEY=VALUE + match = re.match(r"^([^=]+)=(.*)$", line) + if match: + key = match.group(1).strip() + value = match.group(2).strip() + # Remove possible quotes around the value + if (value.startswith('"') and value.endswith('"')) or ( + value.startswith("'") and value.endswith("'") + ): + value = value[1:-1] + env_vars[key] = value + else: + print(f"Warning: Unable to parse line {line_number}: {line}") + return env_vars + + +def generate_shared_env_block(env_vars, anchor_name="shared-api-worker-env"): + """ + Generates a shared environment variables block as a YAML string. + """ + lines = [f"x-shared-env: &{anchor_name}"] + for key, default in env_vars.items(): + # If default value is empty, use ${KEY:-} + if default == "": + lines.append(f" {key}: ${{{key}:-}}") + else: + # If default value contains special characters, wrap it in quotes + if re.search(r"[:\s]", default): + default = f'"{default}"' + lines.append(f" {key}: ${{{key}:-{default}}}") + return "\n".join(lines) + + +def insert_shared_env(template_path, output_path, shared_env_block, header_comments): + """ + Inserts the shared environment variables block and header comments into the template file, + removing any existing x-shared-env anchors, and generates the final docker-compose.yaml file. + """ + with open(template_path, "r") as f: + template_content = f.read() + + # Remove existing x-shared-env: &shared-api-worker-env lines + template_content = re.sub( + r"^x-shared-env: &shared-api-worker-env\s*\n?", + "", + template_content, + flags=re.MULTILINE, + ) + + # Prepare the final content with header comments and shared env block + final_content = f"{header_comments}\n{shared_env_block}\n\n{template_content}" + + with open(output_path, "w") as f: + f.write(final_content) + print(f"Generated {output_path}") + + +def main(): + env_example_path = ".env.example" + template_path = "docker-compose-template.yaml" + output_path = "docker-compose.yaml" + anchor_name = "shared-api-worker-env" # Can be modified as needed + + # Define header comments to be added at the top of docker-compose.yaml + header_comments = ( + "# ==================================================================\n" + "# WARNING: This file is auto-generated by generate_docker_compose\n" + "# Do not modify this file directly. Instead, update the .env.example\n" + "# or docker-compose-template.yaml and regenerate this file.\n" + "# ==================================================================\n" + ) + + # Check if required files exist + for path in [env_example_path, template_path]: + if not os.path.isfile(path): + print(f"Error: File {path} does not exist.") + sys.exit(1) + + # Parse .env.example file + env_vars = parse_env_example(env_example_path) + + if not env_vars: + print("Warning: No environment variables found in .env.example.") + + # Generate shared environment variables block + shared_env_block = generate_shared_env_block(env_vars, anchor_name) + + # Insert shared environment variables block and header comments into the template + insert_shared_env(template_path, output_path, shared_env_block, header_comments) + + +if __name__ == "__main__": + main() diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx index 7a5347c7d5..1d96320309 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx @@ -25,6 +25,7 @@ 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' +import type { App } from '@/types/app' export type IAppDetailLayoutProps = { children: React.ReactNode @@ -41,12 +42,14 @@ const AppDetailLayout: FC = (props) => { const pathname = usePathname() const media = useBreakpoints() const isMobile = media === MediaType.mobile - const { isCurrentWorkspaceEditor } = useAppContext() + const { isCurrentWorkspaceEditor, isLoadingCurrentWorkspace } = useAppContext() const { appDetail, setAppDetail, setAppSiderbarExpand } = useStore(useShallow(state => ({ appDetail: state.appDetail, setAppDetail: state.setAppDetail, setAppSiderbarExpand: state.setAppSiderbarExpand, }))) + const [isLoadingAppDetail, setIsLoadingAppDetail] = useState(false) + const [appDetailRes, setAppDetailRes] = useState(null) const [navigation, setNavigation] = useState = (props) => { useEffect(() => { setAppDetail() + setIsLoadingAppDetail(true) fetchAppDetail({ url: '/apps', id: appId }).then((res) => { - // redirection - const canIEditApp = isCurrentWorkspaceEditor - if (!canIEditApp && (pathname.endsWith('configuration') || pathname.endsWith('workflow') || pathname.endsWith('logs'))) { - router.replace(`/app/${appId}/overview`) - return - } - if ((res.mode === 'workflow' || res.mode === 'advanced-chat') && (pathname).endsWith('configuration')) { - router.replace(`/app/${appId}/workflow`) - } - else if ((res.mode !== 'workflow' && res.mode !== 'advanced-chat') && (pathname).endsWith('workflow')) { - router.replace(`/app/${appId}/configuration`) - } - else { - setAppDetail({ ...res, enable_sso: false }) - setNavigation(getNavigations(appId, isCurrentWorkspaceEditor, res.mode)) - if (systemFeatures.enable_web_sso_switch_component && canIEditApp) { - fetchAppSSO({ appId }).then((ssoRes) => { - setAppDetail({ ...res, enable_sso: ssoRes.enabled }) - }) - } - } + setAppDetailRes(res) }).catch((e: any) => { if (e.status === 404) router.replace('/apps') + }).finally(() => { + setIsLoadingAppDetail(false) }) - }, [appId, isCurrentWorkspaceEditor, systemFeatures, getNavigations, pathname, router, setAppDetail]) + }, [appId, router, setAppDetail]) + + useEffect(() => { + if (!appDetailRes || isLoadingCurrentWorkspace || isLoadingAppDetail) + return + const res = appDetailRes + // redirection + const canIEditApp = isCurrentWorkspaceEditor + if (!canIEditApp && (pathname.endsWith('configuration') || pathname.endsWith('workflow') || pathname.endsWith('logs'))) { + router.replace(`/app/${appId}/overview`) + return + } + if ((res.mode === 'workflow' || res.mode === 'advanced-chat') && (pathname).endsWith('configuration')) { + router.replace(`/app/${appId}/workflow`) + } + else if ((res.mode !== 'workflow' && res.mode !== 'advanced-chat') && (pathname).endsWith('workflow')) { + router.replace(`/app/${appId}/configuration`) + } + else { + setAppDetail({ ...res, enable_sso: false }) + setNavigation(getNavigations(appId, isCurrentWorkspaceEditor, res.mode)) + if (systemFeatures.enable_web_sso_switch_component && canIEditApp) { + fetchAppSSO({ appId }).then((ssoRes) => { + setAppDetail({ ...res, enable_sso: ssoRes.enabled }) + }) + } + } + }, [appDetailRes, appId, getNavigations, isCurrentWorkspaceEditor, isLoadingAppDetail, isLoadingCurrentWorkspace, pathname, router, setAppDetail, systemFeatures.enable_web_sso_switch_component]) useUnmount(() => { setAppDetail() diff --git a/web/app/components/app/create-app-dialog/app-card/index.tsx b/web/app/components/app/create-app-dialog/app-card/index.tsx index 254d67c923..f1807941ee 100644 --- a/web/app/components/app/create-app-dialog/app-card/index.tsx +++ b/web/app/components/app/create-app-dialog/app-card/index.tsx @@ -25,10 +25,10 @@ const AppCard = ({
diff --git a/web/app/components/base/app-icon/index.tsx b/web/app/components/base/app-icon/index.tsx index c195b7253d..1938c42d3e 100644 --- a/web/app/components/base/app-icon/index.tsx +++ b/web/app/components/base/app-icon/index.tsx @@ -3,7 +3,6 @@ import type { FC } from 'react' import { init } from 'emoji-mart' import data from '@emoji-mart/data' -import Image from 'next/image' import { cva } from 'class-variance-authority' import type { AppIconType } from '@/types/app' import classNames from '@/utils/classnames' @@ -62,7 +61,8 @@ const AppIcon: FC = ({ onClick={onClick} > {isValidImageIcon - ? app icon + // eslint-disable-next-line @next/next/no-img-element + ? app icon : (innerIcon || ((icon && icon !== '') ? : )) } 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 1d12a045ea..5f00977e75 100644 --- a/web/app/components/develop/template/template_advanced_chat.en.mdx +++ b/web/app/components/develop/template/template_advanced_chat.en.mdx @@ -675,7 +675,7 @@ Chat applications support session persistence, allowing previous chat history to - + ```bash {{ title: 'cURL' }} curl -X GET '${props.appDetail.api_base_url}/conversations?user=abc-123&last_id=&limit=20' \ diff --git a/web/app/components/develop/template/template_advanced_chat.ja.mdx b/web/app/components/develop/template/template_advanced_chat.ja.mdx index 2fc17d1ca9..7c933598f9 100644 --- a/web/app/components/develop/template/template_advanced_chat.ja.mdx +++ b/web/app/components/develop/template/template_advanced_chat.ja.mdx @@ -674,7 +674,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from - + ```bash {{ title: 'cURL' }} curl -X GET '${props.appDetail.api_base_url}/conversations?user=abc-123&last_id=&limit=20' \ diff --git a/web/app/components/develop/template/template_chat.en.mdx b/web/app/components/develop/template/template_chat.en.mdx index 4e873b3294..1eb289b3c1 100644 --- a/web/app/components/develop/template/template_chat.en.mdx +++ b/web/app/components/develop/template/template_chat.en.mdx @@ -709,7 +709,7 @@ Chat applications support session persistence, allowing previous chat history to - + ```bash {{ title: 'cURL' }} curl -X GET '${props.appDetail.api_base_url}/conversations?user=abc-123&last_id=&limit=20' \ diff --git a/web/app/components/develop/template/template_chat.ja.mdx b/web/app/components/develop/template/template_chat.ja.mdx index b8914a4749..fb686e0cff 100644 --- a/web/app/components/develop/template/template_chat.ja.mdx +++ b/web/app/components/develop/template/template_chat.ja.mdx @@ -708,7 +708,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from - + ```bash {{ title: 'cURL' }} curl -X GET '${props.appDetail.api_base_url}/conversations?user=abc-123&last_id=&limit=20' \ diff --git a/web/app/components/develop/template/template_workflow.en.mdx b/web/app/components/develop/template/template_workflow.en.mdx index 97519611aa..cfa5a60d47 100644 --- a/web/app/components/develop/template/template_workflow.en.mdx +++ b/web/app/components/develop/template/template_workflow.en.mdx @@ -238,84 +238,81 @@ Workflow applications offers non-session support and is ideal for translation, a ```json {{ title: 'File upload sample code' }} - { - import requests - import json + import requests + import json - def upload_file(file_path, user): - upload_url = "https://api.dify.ai/v1/files/upload" - headers = { - "Authorization": "Bearer app-xxxxxxxx", - } - - try: - print("Upload file...") - with open(file_path, 'rb') as file: - files = { - 'file': (file_path, file, 'text/plain') # Make sure the file is uploaded with the appropriate MIME type - } - data = { - "user": user, - "type": "TXT" # Set the file type to TXT - } - - response = requests.post(upload_url, headers=headers, files=files, data=data) - if response.status_code == 201: # 201 means creation is successful - print("File uploaded successfully") - return response.json().get("id") # Get the uploaded file ID - else: - print(f"File upload failed, status code: {response.status_code}") - return None - except Exception as e: - print(f"Error occurred: {str(e)}") - return None + def upload_file(file_path, user): + upload_url = "https://api.dify.ai/v1/files/upload" + headers = { + "Authorization": "Bearer app-xxxxxxxx", + } + + try: + print("Upload file...") + with open(file_path, 'rb') as file: + files = { + 'file': (file_path, file, 'text/plain') # Make sure the file is uploaded with the appropriate MIME type + } + data = { + "user": user, + "type": "TXT" # Set the file type to TXT + } + + response = requests.post(upload_url, headers=headers, files=files, data=data) + if response.status_code == 201: # 201 means creation is successful + print("File uploaded successfully") + return response.json().get("id") # Get the uploaded file ID + else: + print(f"File upload failed, status code: {response.status_code}") + return None + except Exception as e: + print(f"Error occurred: {str(e)}") + return None - def run_workflow(file_id, user, response_mode="blocking"): - workflow_url = "https://api.dify.ai/v1/workflows/run" - headers = { - "Authorization": "Bearer app-xxxxxxxxx", - "Content-Type": "application/json" - } + def run_workflow(file_id, user, response_mode="blocking"): + workflow_url = "https://api.dify.ai/v1/workflows/run" + headers = { + "Authorization": "Bearer app-xxxxxxxxx", + "Content-Type": "application/json" + } - data = { - "inputs": { - "orig_mail": { - "transfer_method": "local_file", - "upload_file_id": file_id, - "type": "document" - } - }, - "response_mode": response_mode, - "user": user - } + data = { + "inputs": { + "orig_mail": { + "transfer_method": "local_file", + "upload_file_id": file_id, + "type": "document" + } + }, + "response_mode": response_mode, + "user": user + } - try: - print("Run Workflow...") - response = requests.post(workflow_url, headers=headers, json=data) - if response.status_code == 200: - print("Workflow execution successful") - return response.json() - else: - print(f"Workflow execution failed, status code: {response.status_code}") - return {"status": "error", "message": f"Failed to execute workflow, status code: {response.status_code}"} - except Exception as e: - print(f"Error occurred: {str(e)}") - return {"status": "error", "message": str(e)} + try: + print("Run Workflow...") + response = requests.post(workflow_url, headers=headers, json=data) + if response.status_code == 200: + print("Workflow execution successful") + return response.json() + else: + print(f"Workflow execution failed, status code: {response.status_code}") + return {"status": "error", "message": f"Failed to execute workflow, status code: {response.status_code}"} + except Exception as e: + print(f"Error occurred: {str(e)}") + return {"status": "error", "message": str(e)} - # Usage Examples - file_path = "{your_file_path}" - user = "difyuser" + # Usage Examples + file_path = "{your_file_path}" + user = "difyuser" - # Upload files - file_id = upload_file(file_path, user) - if file_id: - # The file was uploaded successfully, and the workflow continues to run - result = run_workflow(file_id, user) - print(result) - else: - print("File upload failed and workflow cannot be executed") - - } + # Upload files + file_id = upload_file(file_path, user) + if file_id: + # The file was uploaded successfully, and the workflow continues to run + result = run_workflow(file_id, user) + print(result) + else: + print("File upload failed and workflow cannot be executed") ``` diff --git a/web/app/components/develop/template/template_workflow.ja.mdx b/web/app/components/develop/template/template_workflow.ja.mdx index 56eaeda2d7..b6f8fb543f 100644 --- a/web/app/components/develop/template/template_workflow.ja.mdx +++ b/web/app/components/develop/template/template_workflow.ja.mdx @@ -238,84 +238,81 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from ```json {{ title: 'ファイルアップロードのサンプルコード' }} - { - import requests - import json + import requests + import json - def upload_file(file_path, user): - upload_url = "https://api.dify.ai/v1/files/upload" - headers = { - "Authorization": "Bearer app-xxxxxxxx", - } - - try: - print("ファイルをアップロードしています...") - with open(file_path, 'rb') as file: - files = { - 'file': (file_path, file, 'text/plain') # ファイルが適切な MIME タイプでアップロードされていることを確認してください - } - data = { - "user": user, - "type": "TXT" # ファイルタイプをTXTに設定します - } - - response = requests.post(upload_url, headers=headers, files=files, data=data) - if response.status_code == 201: # 201 は作成が成功したことを意味します - print("ファイルが正常にアップロードされました") - return response.json().get("id") # アップロードされたファイルIDを取得する - else: - print(f"ファイルのアップロードに失敗しました。ステータス コード: {response.status_code}") - return None - except Exception as e: - print(f"エラーが発生しました: {str(e)}") - return None + def upload_file(file_path, user): + upload_url = "https://api.dify.ai/v1/files/upload" + headers = { + "Authorization": "Bearer app-xxxxxxxx", + } + + try: + print("ファイルをアップロードしています...") + with open(file_path, 'rb') as file: + files = { + 'file': (file_path, file, 'text/plain') # ファイルが適切な MIME タイプでアップロードされていることを確認してください + } + data = { + "user": user, + "type": "TXT" # ファイルタイプをTXTに設定します + } + + response = requests.post(upload_url, headers=headers, files=files, data=data) + if response.status_code == 201: # 201 は作成が成功したことを意味します + print("ファイルが正常にアップロードされました") + return response.json().get("id") # アップロードされたファイルIDを取得する + else: + print(f"ファイルのアップロードに失敗しました。ステータス コード: {response.status_code}") + return None + except Exception as e: + print(f"エラーが発生しました: {str(e)}") + return None - def run_workflow(file_id, user, response_mode="blocking"): - workflow_url = "https://api.dify.ai/v1/workflows/run" - headers = { - "Authorization": "Bearer app-xxxxxxxxx", - "Content-Type": "application/json" - } + def run_workflow(file_id, user, response_mode="blocking"): + workflow_url = "https://api.dify.ai/v1/workflows/run" + headers = { + "Authorization": "Bearer app-xxxxxxxxx", + "Content-Type": "application/json" + } - data = { - "inputs": { - "orig_mail": { - "transfer_method": "local_file", - "upload_file_id": file_id, - "type": "document" - } - }, - "response_mode": response_mode, - "user": user - } + data = { + "inputs": { + "orig_mail": { + "transfer_method": "local_file", + "upload_file_id": file_id, + "type": "document" + } + }, + "response_mode": response_mode, + "user": user + } - try: - print("ワークフローを実行...") - response = requests.post(workflow_url, headers=headers, json=data) - if response.status_code == 200: - print("ワークフローが正常に実行されました") - return response.json() - else: - print(f"ワークフローの実行がステータス コードで失敗しました: {response.status_code}") - return {"status": "error", "message": f"Failed to execute workflow, status code: {response.status_code}"} - except Exception as e: - print(f"エラーが発生しました: {str(e)}") - return {"status": "error", "message": str(e)} + try: + print("ワークフローを実行...") + response = requests.post(workflow_url, headers=headers, json=data) + if response.status_code == 200: + print("ワークフローが正常に実行されました") + return response.json() + else: + print(f"ワークフローの実行がステータス コードで失敗しました: {response.status_code}") + return {"status": "error", "message": f"Failed to execute workflow, status code: {response.status_code}"} + except Exception as e: + print(f"エラーが発生しました: {str(e)}") + return {"status": "error", "message": str(e)} - # 使用例 - file_path = "{your_file_path}" - user = "difyuser" + # 使用例 + file_path = "{your_file_path}" + user = "difyuser" - # ファイルをアップロードする - file_id = upload_file(file_path, user) - if file_id: - # ファイルは正常にアップロードされました。ワークフローの実行を続行します - result = run_workflow(file_id, user) - print(result) - else: - print("ファイルのアップロードに失敗し、ワークフローを実行できません") - - } + # ファイルをアップロードする + file_id = upload_file(file_path, user) + if file_id: + # ファイルは正常にアップロードされました。ワークフローの実行を続行します + result = run_workflow(file_id, user) + print(result) + else: + print("ファイルのアップロードに失敗し、ワークフローを実行できません") ``` diff --git a/web/app/components/develop/template/template_workflow.zh.mdx b/web/app/components/develop/template/template_workflow.zh.mdx index cfebb0e319..9cef3d18a5 100644 --- a/web/app/components/develop/template/template_workflow.zh.mdx +++ b/web/app/components/develop/template/template_workflow.zh.mdx @@ -232,84 +232,81 @@ Workflow 应用无会话支持，适合用于翻译/文章写作/总结 AI 等 ```json {{ title: 'File upload sample code' }} - { - import requests - import json + import requests + import json - def upload_file(file_path, user): - upload_url = "https://api.dify.ai/v1/files/upload" - headers = { - "Authorization": "Bearer app-xxxxxxxx", - } - - try: - print("上传文件中...") - with open(file_path, 'rb') as file: - files = { - 'file': (file_path, file, 'text/plain') # 确保文件以适当的MIME类型上传 - } - data = { - "user": user, - "type": "TXT" # 设置文件类型为TXT - } - - response = requests.post(upload_url, headers=headers, files=files, data=data) - if response.status_code == 201: # 201 表示创建成功 - print("文件上传成功") - return response.json().get("id") # 获取上传的文件 ID - else: - print(f"文件上传失败，状态码: {response.status_code}") - return None - except Exception as e: - print(f"发生错误: {str(e)}") - return None + def upload_file(file_path, user): + upload_url = "https://api.dify.ai/v1/files/upload" + headers = { + "Authorization": "Bearer app-xxxxxxxx", + } + + try: + print("上传文件中...") + with open(file_path, 'rb') as file: + files = { + 'file': (file_path, file, 'text/plain') # 确保文件以适当的MIME类型上传 + } + data = { + "user": user, + "type": "TXT" # 设置文件类型为TXT + } + + response = requests.post(upload_url, headers=headers, files=files, data=data) + if response.status_code == 201: # 201 表示创建成功 + print("文件上传成功") + return response.json().get("id") # 获取上传的文件 ID + else: + print(f"文件上传失败，状态码: {response.status_code}") + return None + except Exception as e: + print(f"发生错误: {str(e)}") + return None - def run_workflow(file_id, user, response_mode="blocking"): - workflow_url = "https://api.dify.ai/v1/workflows/run" - headers = { - "Authorization": "Bearer app-xxxxxxxxx", - "Content-Type": "application/json" - } + def run_workflow(file_id, user, response_mode="blocking"): + workflow_url = "https://api.dify.ai/v1/workflows/run" + headers = { + "Authorization": "Bearer app-xxxxxxxxx", + "Content-Type": "application/json" + } - data = { - "inputs": { - "orig_mail": { - "transfer_method": "local_file", - "upload_file_id": file_id, - "type": "document" - } - }, - "response_mode": response_mode, - "user": user - } + data = { + "inputs": { + "orig_mail": { + "transfer_method": "local_file", + "upload_file_id": file_id, + "type": "document" + } + }, + "response_mode": response_mode, + "user": user + } - try: - print("运行工作流...") - response = requests.post(workflow_url, headers=headers, json=data) - if response.status_code == 200: - print("工作流执行成功") - return response.json() - else: - print(f"工作流执行失败，状态码: {response.status_code}") - return {"status": "error", "message": f"Failed to execute workflow, status code: {response.status_code}"} - except Exception as e: - print(f"发生错误: {str(e)}") - return {"status": "error", "message": str(e)} + try: + print("运行工作流...") + response = requests.post(workflow_url, headers=headers, json=data) + if response.status_code == 200: + print("工作流执行成功") + return response.json() + else: + print(f"工作流执行失败，状态码: {response.status_code}") + return {"status": "error", "message": f"Failed to execute workflow, status code: {response.status_code}"} + except Exception as e: + print(f"发生错误: {str(e)}") + return {"status": "error", "message": str(e)} - # 使用示例 - file_path = "{your_file_path}" - user = "difyuser" + # 使用示例 + file_path = "{your_file_path}" + user = "difyuser" - # 上传文件 - file_id = upload_file(file_path, user) - if file_id: - # 文件上传成功，继续运行工作流 - result = run_workflow(file_id, user) - print(result) - else: - print("文件上传失败，无法执行工作流") - - } + # 上传文件 + file_id = upload_file(file_path, user) + if file_id: + # 文件上传成功，继续运行工作流 + result = run_workflow(file_id, user) + print(result) + else: + print("文件上传失败，无法执行工作流") ``` diff --git a/web/app/components/explore/app-card/index.tsx b/web/app/components/explore/app-card/index.tsx index b1ea4a95bf..f1826395f7 100644 --- a/web/app/components/explore/app-card/index.tsx +++ b/web/app/components/explore/app-card/index.tsx @@ -28,10 +28,10 @@ const AppCard = ({
{appBasicInfo.mode === 'advanced-chat' && ( diff --git a/web/app/components/tools/add-tool-modal/empty.tsx b/web/app/components/tools/add-tool-modal/empty.tsx index 78c2deeed4..051ae446d4 100644 --- a/web/app/components/tools/add-tool-modal/empty.tsx +++ b/web/app/components/tools/add-tool-modal/empty.tsx @@ -6,8 +6,8 @@ const Empty = () => { return (
-
{t('tools.addToolModal.emptyTitle')}
-
{t('tools.addToolModal.emptyTip')}
+
{t('tools.addToolModal.emptyTitle')}
+
{t('tools.addToolModal.emptyTip')}
) } diff --git a/web/app/components/workflow/block-selector/all-tools.tsx b/web/app/components/workflow/block-selector/all-tools.tsx index dc15313216..aaa3811251 100644 --- a/web/app/components/workflow/block-selector/all-tools.tsx +++ b/web/app/components/workflow/block-selector/all-tools.tsx @@ -43,23 +43,23 @@ const AllTools = ({ return mergedTools.filter((toolWithProvider) => { return isMatchingKeywords(toolWithProvider.name, searchText) - || toolWithProvider.tools.some((tool) => { - return Object.values(tool.label).some((label) => { - return isMatchingKeywords(label, searchText) + || toolWithProvider.tools.some((tool) => { + return Object.values(tool.label).some((label) => { + return isMatchingKeywords(label, searchText) + }) }) - }) }) }, [activeTab, buildInTools, customTools, workflowTools, searchText]) return (
-
+
{ tabs.map(tab => (
setActiveTab(tab.key)} diff --git a/web/app/components/workflow/block-selector/blocks.tsx b/web/app/components/workflow/block-selector/blocks.tsx index a1bada1a8e..eaaa473f3d 100644 --- a/web/app/components/workflow/block-selector/blocks.tsx +++ b/web/app/components/workflow/block-selector/blocks.tsx @@ -58,7 +58,7 @@ const Blocks = ({ > { classification !== '-' && !!list.length && ( -
+
{t(`workflow.tabs.${classification}`)}
) @@ -68,7 +68,7 @@ const Blocks = ({ -
{block.title}
-
{nodesExtraData[block.type].about}
+
{block.title}
+
{nodesExtraData[block.type].about}
)} >
onSelect(block.type)} > -
{block.title}
+
{block.title}
)) @@ -103,7 +103,7 @@ const Blocks = ({
{ isEmpty && ( -
{t('workflow.tabs.noResult')}
+
{t('workflow.tabs.noResult')}
) } { diff --git a/web/app/components/workflow/block-selector/index-bar.tsx b/web/app/components/workflow/block-selector/index-bar.tsx index 6eab51246d..2a4cbad432 100644 --- a/web/app/components/workflow/block-selector/index-bar.tsx +++ b/web/app/components/workflow/block-selector/index-bar.tsx @@ -47,9 +47,9 @@ const IndexBar: FC = ({ letters, itemRefs }) => { element.scrollIntoView({ behavior: 'smooth' }) } return ( -
+
{letters.map(letter => ( -
handleIndexClick(letter)}> +
handleIndexClick(letter)}> {letter}
))} diff --git a/web/app/components/workflow/block-selector/index.tsx b/web/app/components/workflow/block-selector/index.tsx index 6f05ba16fb..dc93c275f2 100644 --- a/web/app/components/workflow/block-selector/index.tsx +++ b/web/app/components/workflow/block-selector/index.tsx @@ -25,6 +25,7 @@ import Input from '@/app/components/base/input' import { Plus02, } from '@/app/components/base/icons/src/vender/line/general' +import classNames from '@/utils/classnames' type NodeSelectorProps = { open?: boolean @@ -114,19 +115,21 @@ const NodeSelector: FC = ({
- +
) } -
-
e.stopPropagation()}> +
+
e.stopPropagation()}> = ({
e.stopPropagation()}> { !noBlocks && ( -
+
{ tabs.map(tab => (
onActiveTabChange(tab.key)} > diff --git a/web/app/components/workflow/block-selector/tools.tsx b/web/app/components/workflow/block-selector/tools.tsx index a2ae845997..394966fb4f 100644 --- a/web/app/components/workflow/block-selector/tools.tsx +++ b/web/app/components/workflow/block-selector/tools.tsx @@ -45,7 +45,7 @@ const Blocks = ({ -
{tool.label[language]}
-
{tool.description[language]}
+
{tool.label[language]}
+
{tool.description[language]}
)} >
onSelect(BlockEnum.Tool, { provider_id: toolWithProvider.id, provider_type: toolWithProvider.type, @@ -75,7 +75,7 @@ const Blocks = ({ type={BlockEnum.Tool} toolIcon={toolWithProvider.icon} /> -
{tool.label[language]}
+
{tool.label[language]}
)) @@ -100,7 +100,7 @@ const Blocks = ({
{ !tools.length && !showWorkflowEmpty && ( -
{t('workflow.tabs.noResult')}
+
{t('workflow.tabs.noResult')}
) } {!tools.length && showWorkflowEmpty && ( diff --git a/web/app/components/workflow/header/editing-title.tsx b/web/app/components/workflow/header/editing-title.tsx index 44a85631dc..9148420cbe 100644 --- a/web/app/components/workflow/header/editing-title.tsx +++ b/web/app/components/workflow/header/editing-title.tsx @@ -13,7 +13,7 @@ const EditingTitle = () => { const isSyncingWorkflowDraft = useStore(s => s.isSyncingWorkflowDraft) return ( -
+
{ !!draftUpdatedAt && ( <> diff --git a/web/app/components/workflow/header/index.tsx b/web/app/components/workflow/header/index.tsx index 010d9ca1cd..6e46990df8 100644 --- a/web/app/components/workflow/header/index.tsx +++ b/web/app/components/workflow/header/index.tsx @@ -27,6 +27,7 @@ import { } from '../hooks' import AppPublisher from '../../app/app-publisher' import { ToastContext } from '../../base/toast' +import Divider from '../../base/divider' import RunAndHistory from './run-and-history' import EditingTitle from './editing-title' import RunningTitle from './running-title' @@ -144,15 +145,12 @@ const Header: FC = () => { return (
{ appSidebarExpand === 'collapse' && ( -
{appDetail?.name}
+
{appDetail?.name}
) } { @@ -171,7 +169,7 @@ const Header: FC = () => { {/* */} {isChatMode && } -
+ -
+