from app.tasks.worker import celery_app


@celery_app.task(bind=True)
def auto_classify_task(self, project_id: int, source_ids: list = None):
    """
    Async task to run automatic classification on metadata.
    Phase 1 placeholder.
    """
    from app.core.database import SessionLocal
    from app.models.project import ClassificationProject, ClassificationResult, ResultStatus
    from app.models.classification import RecognitionRule
    from app.models.metadata import DataColumn

    db = SessionLocal()
    try:
        project = db.query(ClassificationProject).filter(ClassificationProject.id == project_id).first()
        if not project:
            return {"status": "failed", "reason": "project not found"}

        # Update project status
        project.status = "scanning"
        db.commit()

        rules = db.query(RecognitionRule).filter(RecognitionRule.is_active == True).all()
        # TODO: implement rule matching logic in Phase 2

        project.status = "assigning"
        db.commit()
        return {"status": "completed", "project_id": project_id, "matched": 0}
    finally:
        db.close()