feat: add a abstract layer for WorkflowNodeExcetion (#18026)
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9
api/repositories/workflow_node_execution/__init__.py
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9
api/repositories/workflow_node_execution/__init__.py
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"""
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WorkflowNodeExecution repository implementations.
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"""
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from repositories.workflow_node_execution.sqlalchemy_repository import SQLAlchemyWorkflowNodeExecutionRepository
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__all__ = [
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"SQLAlchemyWorkflowNodeExecutionRepository",
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]
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"""
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SQLAlchemy implementation of the WorkflowNodeExecutionRepository.
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"""
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import logging
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from collections.abc import Sequence
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from typing import Optional
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from sqlalchemy import UnaryExpression, asc, desc, select
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from sqlalchemy.engine import Engine
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from sqlalchemy.orm import sessionmaker
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from core.repository.workflow_node_execution_repository import OrderConfig
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from models.workflow import WorkflowNodeExecution, WorkflowNodeExecutionStatus, WorkflowNodeExecutionTriggeredFrom
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logger = logging.getLogger(__name__)
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class SQLAlchemyWorkflowNodeExecutionRepository:
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"""
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SQLAlchemy implementation of the WorkflowNodeExecutionRepository interface.
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This implementation supports multi-tenancy by filtering operations based on tenant_id.
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Each method creates its own session, handles the transaction, and commits changes
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to the database. This prevents long-running connections in the workflow core.
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"""
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def __init__(self, session_factory: sessionmaker | Engine, tenant_id: str, app_id: Optional[str] = None):
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"""
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Initialize the repository with a SQLAlchemy sessionmaker or engine and tenant context.
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Args:
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session_factory: SQLAlchemy sessionmaker or engine for creating sessions
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tenant_id: Tenant ID for multi-tenancy
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app_id: Optional app ID for filtering by application
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"""
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# If an engine is provided, create a sessionmaker from it
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if isinstance(session_factory, Engine):
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self._session_factory = sessionmaker(bind=session_factory)
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else:
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self._session_factory = session_factory
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self._tenant_id = tenant_id
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self._app_id = app_id
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def save(self, execution: WorkflowNodeExecution) -> None:
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"""
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Save a WorkflowNodeExecution instance and commit changes to the database.
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Args:
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execution: The WorkflowNodeExecution instance to save
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"""
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with self._session_factory() as session:
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# Ensure tenant_id is set
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if not execution.tenant_id:
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execution.tenant_id = self._tenant_id
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# Set app_id if provided and not already set
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if self._app_id and not execution.app_id:
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execution.app_id = self._app_id
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session.add(execution)
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session.commit()
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def get_by_node_execution_id(self, node_execution_id: str) -> Optional[WorkflowNodeExecution]:
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"""
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Retrieve a WorkflowNodeExecution by its node_execution_id.
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Args:
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node_execution_id: The node execution ID
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Returns:
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The WorkflowNodeExecution instance if found, None otherwise
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"""
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with self._session_factory() as session:
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stmt = select(WorkflowNodeExecution).where(
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WorkflowNodeExecution.node_execution_id == node_execution_id,
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WorkflowNodeExecution.tenant_id == self._tenant_id,
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)
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if self._app_id:
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stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id)
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return session.scalar(stmt)
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def get_by_workflow_run(
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self,
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workflow_run_id: str,
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order_config: Optional[OrderConfig] = None,
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) -> Sequence[WorkflowNodeExecution]:
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"""
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Retrieve all WorkflowNodeExecution instances for a specific workflow run.
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Args:
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workflow_run_id: The workflow run ID
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order_config: Optional configuration for ordering results
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order_config.order_by: List of fields to order by (e.g., ["index", "created_at"])
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order_config.order_direction: Direction to order ("asc" or "desc")
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Returns:
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A list of WorkflowNodeExecution instances
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"""
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with self._session_factory() as session:
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stmt = select(WorkflowNodeExecution).where(
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WorkflowNodeExecution.workflow_run_id == workflow_run_id,
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WorkflowNodeExecution.tenant_id == self._tenant_id,
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WorkflowNodeExecution.triggered_from == WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN,
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)
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if self._app_id:
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stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id)
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# Apply ordering if provided
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if order_config and order_config.order_by:
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order_columns: list[UnaryExpression] = []
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for field in order_config.order_by:
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column = getattr(WorkflowNodeExecution, field, None)
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if not column:
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continue
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if order_config.order_direction == "desc":
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order_columns.append(desc(column))
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else:
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order_columns.append(asc(column))
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if order_columns:
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stmt = stmt.order_by(*order_columns)
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return session.scalars(stmt).all()
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def get_running_executions(self, workflow_run_id: str) -> Sequence[WorkflowNodeExecution]:
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"""
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Retrieve all running WorkflowNodeExecution instances for a specific workflow run.
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Args:
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workflow_run_id: The workflow run ID
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Returns:
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A list of running WorkflowNodeExecution instances
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"""
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with self._session_factory() as session:
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stmt = select(WorkflowNodeExecution).where(
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WorkflowNodeExecution.workflow_run_id == workflow_run_id,
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WorkflowNodeExecution.tenant_id == self._tenant_id,
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WorkflowNodeExecution.status == WorkflowNodeExecutionStatus.RUNNING,
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WorkflowNodeExecution.triggered_from == WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN,
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)
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if self._app_id:
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stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id)
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return session.scalars(stmt).all()
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def update(self, execution: WorkflowNodeExecution) -> None:
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"""
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Update an existing WorkflowNodeExecution instance and commit changes to the database.
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Args:
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execution: The WorkflowNodeExecution instance to update
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"""
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with self._session_factory() as session:
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# Ensure tenant_id is set
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if not execution.tenant_id:
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execution.tenant_id = self._tenant_id
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# Set app_id if provided and not already set
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if self._app_id and not execution.app_id:
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execution.app_id = self._app_id
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session.merge(execution)
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session.commit()
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