refactor: Refactors repository imports structure (#18901)

Signed-off-by: -LAN- <laipz8200@outlook.com>
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-LAN- 2025-04-27 17:29:03 +08:00 • committed by GitHub
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20 changed files with 29 additions and 29 deletions

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@ -25,8 +25,8 @@ from core.app.entities.task_entities import ChatbotAppBlockingResponse, ChatbotA
from core.model_runtime.errors.invoke import InvokeAuthorizationError
from core.ops.ops_trace_manager import TraceQueueManager
from core.prompt.utils.get_thread_messages_length import get_thread_messages_length
from core.repository import RepositoryFactory
from core.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from core.workflow.repository import RepositoryFactory
from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from extensions.ext_database import db
from factories import file_factory
from models.account import Account

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@ -62,10 +62,10 @@ from core.app.task_pipeline.workflow_cycle_manage import WorkflowCycleManage
from core.model_runtime.entities.llm_entities import LLMUsage
from core.model_runtime.utils.encoders import jsonable_encoder
from core.ops.ops_trace_manager import TraceQueueManager
from core.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from core.workflow.enums import SystemVariableKey
from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState
from core.workflow.nodes import NodeType
from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from events.message_event import message_was_created
from extensions.ext_database import db
from models import Conversation, EndUser, Message, MessageFile

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@ -23,8 +23,8 @@ from core.app.entities.app_invoke_entities import InvokeFrom, WorkflowAppGenerat
from core.app.entities.task_entities import WorkflowAppBlockingResponse, WorkflowAppStreamResponse
from core.model_runtime.errors.invoke import InvokeAuthorizationError
from core.ops.ops_trace_manager import TraceQueueManager
from core.repository import RepositoryFactory
from core.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from core.workflow.repository import RepositoryFactory
from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from extensions.ext_database import db
from factories import file_factory
from models import Account, App, EndUser, Workflow

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@ -54,8 +54,8 @@ from core.app.entities.task_entities import (
from core.app.task_pipeline.based_generate_task_pipeline import BasedGenerateTaskPipeline
from core.app.task_pipeline.workflow_cycle_manage import WorkflowCycleManage
from core.ops.ops_trace_manager import TraceQueueManager
from core.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from core.workflow.enums import SystemVariableKey
from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from extensions.ext_database import db
from models.account import Account
from models.enums import CreatedByRole

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@ -49,12 +49,12 @@ from core.file import FILE_MODEL_IDENTITY, File
from core.model_runtime.utils.encoders import jsonable_encoder
from core.ops.entities.trace_entity import TraceTaskName
from core.ops.ops_trace_manager import TraceQueueManager, TraceTask
from core.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from core.tools.tool_manager import ToolManager
from core.workflow.entities.node_entities import NodeRunMetadataKey
from core.workflow.enums import SystemVariableKey
from core.workflow.nodes import NodeType
from core.workflow.nodes.tool.entities import ToolNodeData
from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from core.workflow.workflow_entry import WorkflowEntry
from models.account import Account
from models.enums import CreatedByRole, WorkflowRunTriggeredFrom

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@ -29,7 +29,7 @@ from core.ops.langfuse_trace.entities.langfuse_trace_entity import (
UnitEnum,
)
from core.ops.utils import filter_none_values
from core.repository.repository_factory import RepositoryFactory
from core.workflow.repository.repository_factory import RepositoryFactory
from extensions.ext_database import db
from models.model import EndUser

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@ -28,7 +28,7 @@ from core.ops.langsmith_trace.entities.langsmith_trace_entity import (
LangSmithRunUpdateModel,
)
from core.ops.utils import filter_none_values, generate_dotted_order
from core.repository.repository_factory import RepositoryFactory
from core.workflow.repository.repository_factory import RepositoryFactory
from extensions.ext_database import db
from models.model import EndUser, MessageFile

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@ -22,7 +22,7 @@ from core.ops.entities.trace_entity import (
TraceTaskName,
WorkflowTraceInfo,
)
from core.repository.repository_factory import RepositoryFactory
from core.workflow.repository.repository_factory import RepositoryFactory
from extensions.ext_database import db
from models.model import EndUser, MessageFile

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@ -0,0 +1,6 @@
"""
Repository implementations for data access.
This package contains concrete implementations of the repository interfaces
defined in the core.workflow.repository package.
"""

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@ -0,0 +1,87 @@
"""
Registry for repository implementations.
This module is responsible for registering factory functions with the repository factory.
"""
import logging
from collections.abc import Mapping
from typing import Any
from sqlalchemy.orm import sessionmaker
from configs import dify_config
from core.repositories.workflow_node_execution import SQLAlchemyWorkflowNodeExecutionRepository
from core.workflow.repository.repository_factory import RepositoryFactory
from extensions.ext_database import db
logger = logging.getLogger(__name__)
# Storage type constants
STORAGE_TYPE_RDBMS = "rdbms"
STORAGE_TYPE_HYBRID = "hybrid"
def register_repositories() -> None:
"""
Register repository factory functions with the RepositoryFactory.
This function reads configuration settings to determine which repository
implementations to register.
"""
# Configure WorkflowNodeExecutionRepository factory based on configuration
workflow_node_execution_storage = dify_config.WORKFLOW_NODE_EXECUTION_STORAGE
# Check storage type and register appropriate implementation
if workflow_node_execution_storage == STORAGE_TYPE_RDBMS:
# Register SQLAlchemy implementation for RDBMS storage
logger.info("Registering WorkflowNodeExecution repository with RDBMS storage")
RepositoryFactory.register_workflow_node_execution_factory(create_workflow_node_execution_repository)
elif workflow_node_execution_storage == STORAGE_TYPE_HYBRID:
# Hybrid storage is not yet implemented
raise NotImplementedError("Hybrid storage for WorkflowNodeExecution repository is not yet implemented")
else:
# Unknown storage type
raise ValueError(
f"Unknown storage type '{workflow_node_execution_storage}' for WorkflowNodeExecution repository. "
f"Supported types: {STORAGE_TYPE_RDBMS}"
)
def create_workflow_node_execution_repository(params: Mapping[str, Any]) -> SQLAlchemyWorkflowNodeExecutionRepository:
"""
Create a WorkflowNodeExecutionRepository instance using SQLAlchemy implementation.
This factory function creates a repository for the RDBMS storage type.
Args:
params: Parameters for creating the repository, including:
- tenant_id: Required. The tenant ID for multi-tenancy.
- app_id: Optional. The application ID for filtering.
- session_factory: Optional. A SQLAlchemy sessionmaker instance. If not provided,
a new sessionmaker will be created using the global database engine.
Returns:
A WorkflowNodeExecutionRepository instance
Raises:
ValueError: If required parameters are missing
"""
# Extract required parameters
tenant_id = params.get("tenant_id")
if tenant_id is None:
raise ValueError("tenant_id is required for WorkflowNodeExecution repository with RDBMS storage")
# Extract optional parameters
app_id = params.get("app_id")
# Use the session_factory from params if provided, otherwise create one using the global db engine
session_factory = params.get("session_factory")
if session_factory is None:
# Create a sessionmaker using the same engine as the global db session
session_factory = sessionmaker(bind=db.engine)
# Create and return the repository
return SQLAlchemyWorkflowNodeExecutionRepository(
session_factory=session_factory, tenant_id=tenant_id, app_id=app_id
)

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@ -0,0 +1,9 @@
"""
WorkflowNodeExecution repository implementations.
"""
from core.repositories.workflow_node_execution.sqlalchemy_repository import SQLAlchemyWorkflowNodeExecutionRepository
__all__ = [
"SQLAlchemyWorkflowNodeExecutionRepository",
]

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@ -0,0 +1,196 @@
"""
SQLAlchemy implementation of the WorkflowNodeExecutionRepository.
"""
import logging
from collections.abc import Sequence
from typing import Optional
from sqlalchemy import UnaryExpression, asc, delete, desc, select
from sqlalchemy.engine import Engine
from sqlalchemy.orm import sessionmaker
from core.workflow.repository.workflow_node_execution_repository import OrderConfig
from models.workflow import WorkflowNodeExecution, WorkflowNodeExecutionStatus, WorkflowNodeExecutionTriggeredFrom
logger = logging.getLogger(__name__)
class SQLAlchemyWorkflowNodeExecutionRepository:
"""
SQLAlchemy implementation of the WorkflowNodeExecutionRepository interface.
This implementation supports multi-tenancy by filtering operations based on tenant_id.
Each method creates its own session, handles the transaction, and commits changes
to the database. This prevents long-running connections in the workflow core.
"""
def __init__(self, session_factory: sessionmaker | Engine, tenant_id: str, app_id: Optional[str] = None):
"""
Initialize the repository with a SQLAlchemy sessionmaker or engine and tenant context.
Args:
session_factory: SQLAlchemy sessionmaker or engine for creating sessions
tenant_id: Tenant ID for multi-tenancy
app_id: Optional app ID for filtering by application
"""
# If an engine is provided, create a sessionmaker from it
if isinstance(session_factory, Engine):
self._session_factory = sessionmaker(bind=session_factory, expire_on_commit=False)
elif isinstance(session_factory, sessionmaker):
self._session_factory = session_factory
else:
raise ValueError(
f"Invalid session_factory type {type(session_factory).__name__}; expected sessionmaker or Engine"
)
self._tenant_id = tenant_id
self._app_id = app_id
def save(self, execution: WorkflowNodeExecution) -> None:
"""
Save a WorkflowNodeExecution instance and commit changes to the database.
Args:
execution: The WorkflowNodeExecution instance to save
"""
with self._session_factory() as session:
# Ensure tenant_id is set
if not execution.tenant_id:
execution.tenant_id = self._tenant_id
# Set app_id if provided and not already set
if self._app_id and not execution.app_id:
execution.app_id = self._app_id
session.add(execution)
session.commit()
def get_by_node_execution_id(self, node_execution_id: str) -> Optional[WorkflowNodeExecution]:
"""
Retrieve a WorkflowNodeExecution by its node_execution_id.
Args:
node_execution_id: The node execution ID
Returns:
The WorkflowNodeExecution instance if found, None otherwise
"""
with self._session_factory() as session:
stmt = select(WorkflowNodeExecution).where(
WorkflowNodeExecution.node_execution_id == node_execution_id,
WorkflowNodeExecution.tenant_id == self._tenant_id,
)
if self._app_id:
stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id)
return session.scalar(stmt)
def get_by_workflow_run(
self,
workflow_run_id: str,
order_config: Optional[OrderConfig] = None,
) -> Sequence[WorkflowNodeExecution]:
"""
Retrieve all WorkflowNodeExecution instances for a specific workflow run.
Args:
workflow_run_id: The workflow run ID
order_config: Optional configuration for ordering results
order_config.order_by: List of fields to order by (e.g., ["index", "created_at"])
order_config.order_direction: Direction to order ("asc" or "desc")
Returns:
A list of WorkflowNodeExecution instances
"""
with self._session_factory() as session:
stmt = select(WorkflowNodeExecution).where(
WorkflowNodeExecution.workflow_run_id == workflow_run_id,
WorkflowNodeExecution.tenant_id == self._tenant_id,
WorkflowNodeExecution.triggered_from == WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN,
)
if self._app_id:
stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id)
# Apply ordering if provided
if order_config and order_config.order_by:
order_columns: list[UnaryExpression] = []
for field in order_config.order_by:
column = getattr(WorkflowNodeExecution, field, None)
if not column:
continue
if order_config.order_direction == "desc":
order_columns.append(desc(column))
else:
order_columns.append(asc(column))
if order_columns:
stmt = stmt.order_by(*order_columns)
return session.scalars(stmt).all()
def get_running_executions(self, workflow_run_id: str) -> Sequence[WorkflowNodeExecution]:
"""
Retrieve all running WorkflowNodeExecution instances for a specific workflow run.
Args:
workflow_run_id: The workflow run ID
Returns:
A list of running WorkflowNodeExecution instances
"""
with self._session_factory() as session:
stmt = select(WorkflowNodeExecution).where(
WorkflowNodeExecution.workflow_run_id == workflow_run_id,
WorkflowNodeExecution.tenant_id == self._tenant_id,
WorkflowNodeExecution.status == WorkflowNodeExecutionStatus.RUNNING,
WorkflowNodeExecution.triggered_from == WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN,
)
if self._app_id:
stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id)
return session.scalars(stmt).all()
def update(self, execution: WorkflowNodeExecution) -> None:
"""
Update an existing WorkflowNodeExecution instance and commit changes to the database.
Args:
execution: The WorkflowNodeExecution instance to update
"""
with self._session_factory() as session:
# Ensure tenant_id is set
if not execution.tenant_id:
execution.tenant_id = self._tenant_id
# Set app_id if provided and not already set
if self._app_id and not execution.app_id:
execution.app_id = self._app_id
session.merge(execution)
session.commit()
def clear(self) -> None:
"""
Clear all WorkflowNodeExecution records for the current tenant_id and app_id.
This method deletes all WorkflowNodeExecution records that match the tenant_id
and app_id (if provided) associated with this repository instance.
"""
with self._session_factory() as session:
stmt = delete(WorkflowNodeExecution).where(WorkflowNodeExecution.tenant_id == self._tenant_id)
if self._app_id:
stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id)
result = session.execute(stmt)
session.commit()
deleted_count = result.rowcount
logger.info(
f"Cleared {deleted_count} workflow node execution records for tenant {self._tenant_id}"
+ (f" and app {self._app_id}" if self._app_id else "")
)

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@ -0,0 +1,15 @@
"""
Repository interfaces for data access.
This package contains repository interfaces that define the contract
for accessing and manipulating data, regardless of the underlying
storage mechanism.
"""
from core.workflow.repository.repository_factory import RepositoryFactory
from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
__all__ = [
"RepositoryFactory",
"WorkflowNodeExecutionRepository",
]

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@ -0,0 +1,97 @@
"""
Repository factory for creating repository instances.
This module provides a simple factory interface for creating repository instances.
It does not contain any implementation details or dependencies on specific repositories.
"""
from collections.abc import Callable, Mapping
from typing import Any, Literal, Optional, cast
from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
# Type for factory functions - takes a dict of parameters and returns any repository type
RepositoryFactoryFunc = Callable[[Mapping[str, Any]], Any]
# Type for workflow node execution factory function
WorkflowNodeExecutionFactoryFunc = Callable[[Mapping[str, Any]], WorkflowNodeExecutionRepository]
# Repository type literals
_RepositoryType = Literal["workflow_node_execution"]
class RepositoryFactory:
"""
Factory class for creating repository instances.
This factory delegates the actual repository creation to implementation-specific
factory functions that are registered with the factory at runtime.
"""
# Dictionary to store factory functions
_factory_functions: dict[str, RepositoryFactoryFunc] = {}
@classmethod
def _register_factory(cls, repository_type: _RepositoryType, factory_func: RepositoryFactoryFunc) -> None:
"""
Register a factory function for a specific repository type.
This is a private method and should not be called directly.
Args:
repository_type: The type of repository (e.g., 'workflow_node_execution')
factory_func: A function that takes parameters and returns a repository instance
"""
cls._factory_functions[repository_type] = factory_func
@classmethod
def _create_repository(cls, repository_type: _RepositoryType, params: Optional[Mapping[str, Any]] = None) -> Any:
"""
Create a new repository instance with the provided parameters.
This is a private method and should not be called directly.
Args:
repository_type: The type of repository to create
params: A dictionary of parameters to pass to the factory function
Returns:
A new instance of the requested repository
Raises:
ValueError: If no factory function is registered for the repository type
"""
if repository_type not in cls._factory_functions:
raise ValueError(f"No factory function registered for repository type '{repository_type}'")
# Use empty dict if params is None
params = params or {}
return cls._factory_functions[repository_type](params)
@classmethod
def register_workflow_node_execution_factory(cls, factory_func: WorkflowNodeExecutionFactoryFunc) -> None:
"""
Register a factory function for the workflow node execution repository.
Args:
factory_func: A function that takes parameters and returns a WorkflowNodeExecutionRepository instance
"""
cls._register_factory("workflow_node_execution", factory_func)
@classmethod
def create_workflow_node_execution_repository(
cls, params: Optional[Mapping[str, Any]] = None
) -> WorkflowNodeExecutionRepository:
"""
Create a new WorkflowNodeExecutionRepository instance with the provided parameters.
Args:
params: A dictionary of parameters to pass to the factory function
Returns:
A new instance of the WorkflowNodeExecutionRepository
Raises:
ValueError: If no factory function is registered for the workflow_node_execution repository type
"""
# We can safely cast here because we've registered a WorkflowNodeExecutionFactoryFunc
return cast(WorkflowNodeExecutionRepository, cls._create_repository("workflow_node_execution", params))

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@ -0,0 +1,97 @@
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Literal, Optional, Protocol
from models.workflow import WorkflowNodeExecution
@dataclass
class OrderConfig:
"""Configuration for ordering WorkflowNodeExecution instances."""
order_by: list[str]
order_direction: Optional[Literal["asc", "desc"]] = None
class WorkflowNodeExecutionRepository(Protocol):
"""
Repository interface for WorkflowNodeExecution.
This interface defines the contract for accessing and manipulating
WorkflowNodeExecution data, regardless of the underlying storage mechanism.
Note: Domain-specific concepts like multi-tenancy (tenant_id), application context (app_id),
and trigger sources (triggered_from) should be handled at the implementation level, not in
the core interface. This keeps the core domain model clean and independent of specific
application domains or deployment scenarios.
"""
def save(self, execution: WorkflowNodeExecution) -> None:
"""
Save a WorkflowNodeExecution instance.
Args:
execution: The WorkflowNodeExecution instance to save
"""
...
def get_by_node_execution_id(self, node_execution_id: str) -> Optional[WorkflowNodeExecution]:
"""
Retrieve a WorkflowNodeExecution by its node_execution_id.
Args:
node_execution_id: The node execution ID
Returns:
The WorkflowNodeExecution instance if found, None otherwise
"""
...
def get_by_workflow_run(
self,
workflow_run_id: str,
order_config: Optional[OrderConfig] = None,
) -> Sequence[WorkflowNodeExecution]:
"""
Retrieve all WorkflowNodeExecution instances for a specific workflow run.
Args:
workflow_run_id: The workflow run ID
order_config: Optional configuration for ordering results
order_config.order_by: List of fields to order by (e.g., ["index", "created_at"])
order_config.order_direction: Direction to order ("asc" or "desc")
Returns:
A list of WorkflowNodeExecution instances
"""
...
def get_running_executions(self, workflow_run_id: str) -> Sequence[WorkflowNodeExecution]:
"""
Retrieve all running WorkflowNodeExecution instances for a specific workflow run.
Args:
workflow_run_id: The workflow run ID
Returns:
A list of running WorkflowNodeExecution instances
"""
...
def update(self, execution: WorkflowNodeExecution) -> None:
"""
Update an existing WorkflowNodeExecution instance.
Args:
execution: The WorkflowNodeExecution instance to update
"""
...
def clear(self) -> None:
"""
Clear all WorkflowNodeExecution records based on implementation-specific criteria.
This method is intended to be used for bulk deletion operations, such as removing
all records associated with a specific app_id and tenant_id in multi-tenant implementations.
"""
...

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@ -4,8 +4,8 @@ Extension for initializing repositories.
This extension registers repository implementations with the RepositoryFactory.
"""
from core.repositories.repository_registry import register_repositories
from dify_app import DifyApp
from repositories.repository_registry import register_repositories
def init_app(_app: DifyApp) -> None:

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@ -2,8 +2,8 @@ import threading
from typing import Optional
import contexts
from core.repository import RepositoryFactory
from core.repository.workflow_node_execution_repository import OrderConfig
from core.workflow.repository import RepositoryFactory
from core.workflow.repository.workflow_node_execution_repository import OrderConfig
from extensions.ext_database import db
from libs.infinite_scroll_pagination import InfiniteScrollPagination
from models.enums import WorkflowRunTriggeredFrom

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@ -11,7 +11,6 @@ from sqlalchemy.orm import Session
from core.app.apps.advanced_chat.app_config_manager import AdvancedChatAppConfigManager
from core.app.apps.workflow.app_config_manager import WorkflowAppConfigManager
from core.model_runtime.utils.encoders import jsonable_encoder
from core.repository import RepositoryFactory
from core.variables import Variable
from core.workflow.entities.node_entities import NodeRunResult
from core.workflow.errors import WorkflowNodeRunFailedError
@ -22,6 +21,7 @@ from core.workflow.nodes.enums import ErrorStrategy
from core.workflow.nodes.event import RunCompletedEvent
from core.workflow.nodes.event.types import NodeEvent
from core.workflow.nodes.node_mapping import LATEST_VERSION, NODE_TYPE_CLASSES_MAPPING
from core.workflow.repository import RepositoryFactory
from core.workflow.workflow_entry import WorkflowEntry
from events.app_event import app_draft_workflow_was_synced, app_published_workflow_was_updated
from extensions.ext_database import db

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@ -7,7 +7,7 @@ from celery import shared_task # type: ignore
from sqlalchemy import delete
from sqlalchemy.exc import SQLAlchemyError
from core.repository import RepositoryFactory
from core.workflow.repository import RepositoryFactory
from extensions.ext_database import db
from models.dataset import AppDatasetJoin
from models.model import (

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@ -8,9 +8,9 @@ import pytest
from pytest_mock import MockerFixture
from sqlalchemy.orm import Session, sessionmaker
from core.repository.workflow_node_execution_repository import OrderConfig
from core.repositories.workflow_node_execution.sqlalchemy_repository import SQLAlchemyWorkflowNodeExecutionRepository
from core.workflow.repository.workflow_node_execution_repository import OrderConfig
from models.workflow import WorkflowNodeExecution
from repositories.workflow_node_execution.sqlalchemy_repository import SQLAlchemyWorkflowNodeExecutionRepository
@pytest.fixture
@ -80,7 +80,7 @@ def test_get_by_node_execution_id(repository, session, mocker: MockerFixture):
"""Test get_by_node_execution_id method."""
session_obj, _ = session
# Set up mock
mock_select = mocker.patch("repositories.workflow_node_execution.sqlalchemy_repository.select")
mock_select = mocker.patch("core.repositories.workflow_node_execution.sqlalchemy_repository.select")
mock_stmt = mocker.MagicMock()
mock_select.return_value = mock_stmt
mock_stmt.where.return_value = mock_stmt
@ -99,7 +99,7 @@ def test_get_by_workflow_run(repository, session, mocker: MockerFixture):
"""Test get_by_workflow_run method."""
session_obj, _ = session
# Set up mock
mock_select = mocker.patch("repositories.workflow_node_execution.sqlalchemy_repository.select")
mock_select = mocker.patch("core.repositories.workflow_node_execution.sqlalchemy_repository.select")
mock_stmt = mocker.MagicMock()
mock_select.return_value = mock_stmt
mock_stmt.where.return_value = mock_stmt
@ -120,7 +120,7 @@ def test_get_running_executions(repository, session, mocker: MockerFixture):
"""Test get_running_executions method."""
session_obj, _ = session
# Set up mock
mock_select = mocker.patch("repositories.workflow_node_execution.sqlalchemy_repository.select")
mock_select = mocker.patch("core.repositories.workflow_node_execution.sqlalchemy_repository.select")
mock_stmt = mocker.MagicMock()
mock_select.return_value = mock_stmt
mock_stmt.where.return_value = mock_stmt
@ -158,7 +158,7 @@ def test_clear(repository, session, mocker: MockerFixture):
"""Test clear method."""
session_obj, _ = session
# Set up mock
mock_delete = mocker.patch("repositories.workflow_node_execution.sqlalchemy_repository.delete")
mock_delete = mocker.patch("core.repositories.workflow_node_execution.sqlalchemy_repository.delete")
mock_stmt = mocker.MagicMock()
mock_delete.return_value = mock_stmt
mock_stmt.where.return_value = mock_stmt