"""
Workflow test data factories.

Provides factory functions for creating test workflow data with minimal boilerplate.

Note: These are placeholder factories. Actual model imports depend on workflow models
being defined in core.models.py. Use these as templates for your specific workflow models.
"""

from datetime import datetime
from typing import Optional, Dict, Any, List
from sqlalchemy.orm import Session


def create_test_workflow(
    db_session: Session,
    name: str = "TestWorkflow",
    status: str = "active",
    version: int = 1,
    **kwargs
) -> Any:
    """Factory function to create test workflows with defaults.

    Note: This is a template. Implement based on your actual Workflow model.

    Args:
        db_session: Database session
        name: Workflow name
        status: Workflow status (active, draft, archived)
        version: Workflow version
        **kwargs: Additional workflow fields

    Returns:
        Created workflow instance

    Example:
        workflow = create_test_workflow(db_session, name="MyWorkflow")
    """
    # TODO: Implement with actual Workflow model
    # workflow = Workflow(
    #     name=name,
    #     status=status,
    #     version=version,
    #     **kwargs
    # )
    # db_session.add(workflow)
    # db_session.commit()
    # return workflow

    # Placeholder: return a dict
    return {"id": "test_workflow", "name": name, "status": status, "version": version}


def create_workflow_execution(
    db_session: Session,
    workflow_id: str,
    status: str = "pending",
    **kwargs
) -> Any:
    """Factory function to create test workflow executions.

    Note: This is a template. Implement based on your actual WorkflowExecution model.

    Args:
        db_session: Database session
        workflow_id: Parent workflow ID
        status: Execution status (pending, running, completed, failed)
        **kwargs: Additional execution fields

    Returns:
        Created workflow execution instance
    """
    # TODO: Implement with actual WorkflowExecution model
    return {"workflow_id": workflow_id, "status": status}


def create_workflow_step(
    db_session: Session,
    execution_id: str,
    step_name: str = "test_step",
    status: str = "pending",
    **kwargs
) -> Any:
    """Factory function to create test workflow steps.

    Note: This is a template. Implement based on your actual WorkflowStep model.

    Args:
        db_session: Database session
        execution_id: Parent execution ID
        step_name: Step name
        status: Step status (pending, running, completed, failed)
        **kwargs: Additional step fields

    Returns:
        Created workflow step instance
    """
    # TODO: Implement with actual WorkflowStep model
    return {"execution_id": execution_id, "step_name": step_name, "status": status}


def create_workflow_with_steps(
    db_session: Session,
    workflow_name: str = "MultiStepWorkflow",
    step_count: int = 3
) -> tuple:
    """Create a complete workflow with execution and steps.

    Note: This is a template. Implement based on your actual workflow models.

    Args:
        db_session: Database session
        workflow_name: Workflow name
        step_count: Number of steps to create

    Returns:
        Tuple of (workflow, execution, steps)
    """
    workflow = create_test_workflow(db_session, name=workflow_name)
    execution = create_workflow_execution(db_session, workflow_id=workflow["id"])
    steps = [create_workflow_step(db_session, execution_id=execution["id"], step_name=f"step_{i+1}") for i in range(step_count)]
    return workflow, execution, steps