syndarix/backend/app/tasks/workflow.py

# app/tasks/workflow.py
"""
Workflow state management tasks for Syndarix.

These tasks manage workflow execution and state transitions:
- Sprint workflows (planning -> implementation -> review -> done)
- Story workflows (todo -> in_progress -> review -> done)
- Approval checkpoints for autonomy levels
- Stale workflow recovery

Per ADR-007 and ADR-010, workflow state is durable in PostgreSQL
with defined state transitions.
"""

import logging
from typing import Any

from app.celery_app import celery_app

logger = logging.getLogger(__name__)


@celery_app.task(bind=True, name="app.tasks.workflow.recover_stale_workflows")
def recover_stale_workflows(self) -> dict[str, Any]:
    """
    Recover workflows that have become stale.

    This periodic task (runs every 5 minutes):
    1. Find workflows stuck in intermediate states
    2. Check for timed-out agent operations
    3. Retry or escalate based on configuration
    4. Notify relevant users if needed

    Returns:
        dict with status and recovered count
    """
    logger.info("Checking for stale workflows to recover")

    # TODO: Implement stale workflow recovery
    # This will involve:
    # 1. Querying for workflows with last_updated > threshold
    # 2. Checking if associated agents are still running
    # 3. Retrying or resetting stuck workflows
    # 4. Sending notifications for manual intervention

    return {
        "status": "pending",
        "recovered": 0,
    }


@celery_app.task(bind=True, name="app.tasks.workflow.execute_workflow_step")
def execute_workflow_step(
    self,
    workflow_id: str,
    transition: str,
) -> dict[str, Any]:
    """
    Execute a state transition for a workflow.

    This task applies a transition to a workflow:
    1. Validate transition is allowed from current state
    2. Execute any pre-transition hooks
    3. Update workflow state
    4. Execute any post-transition hooks
    5. Trigger follow-up tasks

    Args:
        workflow_id: UUID of the workflow
        transition: Transition to execute (start, approve, reject, etc.)

    Returns:
        dict with status, workflow_id, and transition
    """
    logger.info(
        f"Executing transition '{transition}' for workflow {workflow_id}"
    )

    # TODO: Implement workflow transition
    # This will involve:
    # 1. Loading workflow from database
    # 2. Validating transition from current state
    # 3. Running pre-transition hooks
    # 4. Updating state in database
    # 5. Running post-transition hooks
    # 6. Scheduling follow-up tasks

    return {
        "status": "pending",
        "workflow_id": workflow_id,
        "transition": transition,
    }


@celery_app.task(bind=True, name="app.tasks.workflow.handle_approval_response")
def handle_approval_response(
    self,
    workflow_id: str,
    approved: bool,
    comment: str | None = None,
) -> dict[str, Any]:
    """
    Handle a user approval response for a workflow checkpoint.

    This task processes approval decisions:
    1. Record approval decision with timestamp
    2. Update workflow state accordingly
    3. Resume or halt workflow execution
    4. Notify relevant parties

    Args:
        workflow_id: UUID of the workflow
        approved: Whether the checkpoint was approved
        comment: Optional comment from approver

    Returns:
        dict with status, workflow_id, and approved flag
    """
    logger.info(
        f"Handling approval response for workflow {workflow_id}: approved={approved}"
    )

    # TODO: Implement approval handling
    # This will involve:
    # 1. Loading workflow and approval checkpoint
    # 2. Recording decision with user and timestamp
    # 3. Transitioning workflow state
    # 4. Resuming or stopping execution
    # 5. Sending notifications

    return {
        "status": "pending",
        "workflow_id": workflow_id,
        "approved": approved,
    }


@celery_app.task(bind=True, name="app.tasks.workflow.start_sprint_workflow")
def start_sprint_workflow(
    self,
    project_id: str,
    sprint_id: str,
) -> dict[str, Any]:
    """
    Start a new sprint workflow.

    This task initializes sprint execution:
    1. Create sprint workflow record
    2. Set up sprint planning phase
    3. Spawn Product Owner agent for planning
    4. Begin story assignment

    Args:
        project_id: UUID of the project
        sprint_id: UUID of the sprint

    Returns:
        dict with status and sprint_id
    """
    logger.info(
        f"Starting sprint workflow for sprint {sprint_id} in project {project_id}"
    )

    # TODO: Implement sprint workflow initialization
    # This will involve:
    # 1. Creating workflow record for sprint
    # 2. Setting initial state to PLANNING
    # 3. Spawning PO agent for sprint planning
    # 4. Setting up monitoring and checkpoints

    return {
        "status": "pending",
        "sprint_id": sprint_id,
    }


@celery_app.task(bind=True, name="app.tasks.workflow.start_story_workflow")
def start_story_workflow(
    self,
    project_id: str,
    story_id: str,
) -> dict[str, Any]:
    """
    Start a new story workflow.

    This task initializes story execution:
    1. Create story workflow record
    2. Spawn appropriate developer agent
    3. Set up implementation tracking
    4. Configure approval checkpoints based on autonomy level

    Args:
        project_id: UUID of the project
        story_id: UUID of the story/issue

    Returns:
        dict with status and story_id
    """
    logger.info(
        f"Starting story workflow for story {story_id} in project {project_id}"
    )

    # TODO: Implement story workflow initialization
    # This will involve:
    # 1. Creating workflow record for story
    # 2. Determining appropriate agent type
    # 3. Spawning developer agent
    # 4. Setting up checkpoints based on autonomy level

    return {
        "status": "pending",
        "story_id": story_id,
    }