mirror of https://github.com/langgenius/dify.git
fix: validate first then save to db (#30107)
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
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9885e92854
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@ -76,7 +76,7 @@ class PluginParameter(BaseModel):
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auto_generate: PluginParameterAutoGenerate | None = None
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template: PluginParameterTemplate | None = None
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required: bool = False
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default: Union[float, int, str, bool] | None = None
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default: Union[float, int, str, bool, list, dict] | None = None
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min: Union[float, int] | None = None
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max: Union[float, int] | None = None
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precision: int | None = None
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@ -5,6 +5,7 @@ from sqlalchemy.orm import Session
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from core.app.app_config.entities import VariableEntity, VariableEntityType
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from core.app.apps.workflow.app_config_manager import WorkflowAppConfigManager
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from core.db.session_factory import session_factory
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from core.plugin.entities.parameters import PluginParameterOption
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from core.tools.__base.tool_provider import ToolProviderController
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from core.tools.__base.tool_runtime import ToolRuntime
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@ -47,33 +48,30 @@ class WorkflowToolProviderController(ToolProviderController):
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@classmethod
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def from_db(cls, db_provider: WorkflowToolProvider) -> "WorkflowToolProviderController":
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with Session(db.engine, expire_on_commit=False) as session, session.begin():
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provider = session.get(WorkflowToolProvider, db_provider.id) if db_provider.id else None
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if not provider:
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raise ValueError("workflow provider not found")
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app = session.get(App, provider.app_id)
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with session_factory.create_session() as session, session.begin():
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app = session.get(App, db_provider.app_id)
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if not app:
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raise ValueError("app not found")
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user = session.get(Account, provider.user_id) if provider.user_id else None
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user = session.get(Account, db_provider.user_id) if db_provider.user_id else None
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controller = WorkflowToolProviderController(
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entity=ToolProviderEntity(
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identity=ToolProviderIdentity(
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author=user.name if user else "",
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name=provider.label,
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label=I18nObject(en_US=provider.label, zh_Hans=provider.label),
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description=I18nObject(en_US=provider.description, zh_Hans=provider.description),
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icon=provider.icon,
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name=db_provider.label,
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label=I18nObject(en_US=db_provider.label, zh_Hans=db_provider.label),
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description=I18nObject(en_US=db_provider.description, zh_Hans=db_provider.description),
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icon=db_provider.icon,
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),
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credentials_schema=[],
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plugin_id=None,
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),
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provider_id=provider.id or "",
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provider_id="",
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)
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controller.tools = [
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controller._get_db_provider_tool(provider, app, session=session, user=user),
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controller._get_db_provider_tool(db_provider, app, session=session, user=user),
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]
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return controller
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@ -5,8 +5,8 @@ from datetime import datetime
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from typing import Any
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from sqlalchemy import or_, select
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from sqlalchemy.orm import Session
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from core.db.session_factory import session_factory
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from core.helper.tool_provider_cache import ToolProviderListCache
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from core.model_runtime.utils.encoders import jsonable_encoder
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from core.tools.__base.tool_provider import ToolProviderController
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@ -68,26 +68,27 @@ class WorkflowToolManageService:
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if workflow is None:
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raise ValueError(f"Workflow not found for app {workflow_app_id}")
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with Session(db.engine, expire_on_commit=False) as session, session.begin():
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workflow_tool_provider = WorkflowToolProvider(
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tenant_id=tenant_id,
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user_id=user_id,
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app_id=workflow_app_id,
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name=name,
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label=label,
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icon=json.dumps(icon),
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description=description,
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parameter_configuration=json.dumps(parameters),
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privacy_policy=privacy_policy,
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version=workflow.version,
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)
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session.add(workflow_tool_provider)
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workflow_tool_provider = WorkflowToolProvider(
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tenant_id=tenant_id,
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user_id=user_id,
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app_id=workflow_app_id,
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name=name,
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label=label,
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icon=json.dumps(icon),
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description=description,
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parameter_configuration=json.dumps(parameters),
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privacy_policy=privacy_policy,
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version=workflow.version,
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)
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try:
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WorkflowToolProviderController.from_db(workflow_tool_provider)
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except Exception as e:
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raise ValueError(str(e))
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with session_factory.create_session() as session, session.begin():
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session.add(workflow_tool_provider)
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if labels is not None:
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ToolLabelManager.update_tool_labels(
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ToolTransformService.workflow_provider_to_controller(workflow_tool_provider), labels
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@ -705,3 +705,207 @@ class TestWorkflowToolManageService:
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db.session.refresh(created_tool)
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assert created_tool.name == first_tool_name
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assert created_tool.updated_at is not None
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def test_create_workflow_tool_with_file_parameter_default(
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self, db_session_with_containers, mock_external_service_dependencies
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):
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"""
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Test workflow tool creation with FILE parameter having a file object as default.
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This test verifies:
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- FILE parameters can have file object defaults
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- The default value (dict with id/base64Url) is properly handled
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- Tool creation succeeds without Pydantic validation errors
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Related issue: Array[File] default value causes Pydantic validation errors.
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"""
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fake = Faker()
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# Create test data
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app, account, workflow = self._create_test_app_and_account(
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db_session_with_containers, mock_external_service_dependencies
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)
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# Create workflow graph with a FILE variable that has a default value
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workflow_graph = {
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"nodes": [
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{
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"id": "start_node",
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"data": {
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"type": "start",
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"variables": [
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{
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"variable": "document",
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"label": "Document",
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"type": "file",
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"required": False,
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"default": {"id": fake.uuid4(), "base64Url": ""},
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}
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],
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},
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}
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]
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}
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workflow.graph = json.dumps(workflow_graph)
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# Setup workflow tool parameters with FILE type
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file_parameters = [
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{
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"name": "document",
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"description": "Upload a document",
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"form": "form",
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"type": "file",
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"required": False,
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}
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]
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# Execute the method under test
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# Note: from_db is mocked, so this test primarily validates the parameter configuration
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result = WorkflowToolManageService.create_workflow_tool(
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user_id=account.id,
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tenant_id=account.current_tenant.id,
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workflow_app_id=app.id,
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name=fake.word(),
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label=fake.word(),
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icon={"type": "emoji", "emoji": "📄"},
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description=fake.text(max_nb_chars=200),
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parameters=file_parameters,
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)
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# Verify the result
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assert result == {"result": "success"}
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def test_create_workflow_tool_with_files_parameter_default(
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self, db_session_with_containers, mock_external_service_dependencies
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):
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"""
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Test workflow tool creation with FILES (Array[File]) parameter having file objects as default.
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This test verifies:
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- FILES parameters can have a list of file objects as default
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- The default value (list of dicts with id/base64Url) is properly handled
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- Tool creation succeeds without Pydantic validation errors
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Related issue: Array[File] default value causes 4 Pydantic validation errors
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because PluginParameter.default only accepts Union[float, int, str, bool] | None.
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"""
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fake = Faker()
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# Create test data
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app, account, workflow = self._create_test_app_and_account(
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db_session_with_containers, mock_external_service_dependencies
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)
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# Create workflow graph with a FILE_LIST variable that has a default value
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workflow_graph = {
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"nodes": [
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{
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"id": "start_node",
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"data": {
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"type": "start",
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"variables": [
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{
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"variable": "documents",
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"label": "Documents",
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"type": "file-list",
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"required": False,
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"default": [
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{"id": fake.uuid4(), "base64Url": ""},
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{"id": fake.uuid4(), "base64Url": ""},
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],
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}
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],
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},
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}
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]
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}
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workflow.graph = json.dumps(workflow_graph)
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# Setup workflow tool parameters with FILES type
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files_parameters = [
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{
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"name": "documents",
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"description": "Upload multiple documents",
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"form": "form",
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"type": "files",
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"required": False,
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}
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]
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# Execute the method under test
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# Note: from_db is mocked, so this test primarily validates the parameter configuration
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result = WorkflowToolManageService.create_workflow_tool(
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user_id=account.id,
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tenant_id=account.current_tenant.id,
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workflow_app_id=app.id,
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name=fake.word(),
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label=fake.word(),
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icon={"type": "emoji", "emoji": "📁"},
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description=fake.text(max_nb_chars=200),
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parameters=files_parameters,
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)
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# Verify the result
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assert result == {"result": "success"}
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def test_create_workflow_tool_db_commit_before_validation(
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self, db_session_with_containers, mock_external_service_dependencies
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):
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"""
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Test that database commit happens before validation, causing DB pollution on validation failure.
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This test verifies the second bug:
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- WorkflowToolProvider is committed to database BEFORE from_db validation
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- If validation fails, the record remains in the database
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- Subsequent attempts fail with "Tool already exists" error
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This demonstrates why we need to validate BEFORE database commit.
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"""
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fake = Faker()
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# Create test data
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app, account, workflow = self._create_test_app_and_account(
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db_session_with_containers, mock_external_service_dependencies
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)
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tool_name = fake.word()
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# Mock from_db to raise validation error
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mock_external_service_dependencies["workflow_tool_provider_controller"].from_db.side_effect = ValueError(
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"Validation failed: default parameter type mismatch"
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)
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# Attempt to create workflow tool (will fail at validation stage)
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with pytest.raises(ValueError) as exc_info:
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WorkflowToolManageService.create_workflow_tool(
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user_id=account.id,
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tenant_id=account.current_tenant.id,
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workflow_app_id=app.id,
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name=tool_name,
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label=fake.word(),
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icon={"type": "emoji", "emoji": "🔧"},
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description=fake.text(max_nb_chars=200),
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parameters=self._create_test_workflow_tool_parameters(),
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)
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assert "Validation failed" in str(exc_info.value)
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# Verify the tool was NOT created in database
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# This is the expected behavior (no pollution)
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from extensions.ext_database import db
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tool_count = (
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db.session.query(WorkflowToolProvider)
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.where(
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WorkflowToolProvider.tenant_id == account.current_tenant.id,
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WorkflowToolProvider.name == tool_name,
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)
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.count()
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)
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# The record should NOT exist because the transaction should be rolled back
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# Currently, due to the bug, the record might exist (this test documents the bug)
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# After the fix, this should always be 0
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# For now, we document that the record may exist, demonstrating the bug
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# assert tool_count == 0 # Expected after fix
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