hiderfong
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
from app.tasks.worker import celery_app
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@celery_app.task(bind=True)
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def auto_classify_task(self, project_id: int, source_ids: list = None):
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"""
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Async task to run automatic classification on metadata.
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Phase 1 placeholder.
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"""
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from app.core.database import SessionLocal
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from app.models.project import ClassificationProject, ClassificationResult, ResultStatus
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from app.models.classification import RecognitionRule
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from app.models.metadata import DataColumn
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db = SessionLocal()
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try:
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project = db.query(ClassificationProject).filter(ClassificationProject.id == project_id).first()
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if not project:
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return {"status": "failed", "reason": "project not found"}
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# Update project status
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project.status = "scanning"
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db.commit()
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rules = db.query(RecognitionRule).filter(RecognitionRule.is_active == True).all()
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# TODO: implement rule matching logic in Phase 2
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project.status = "assigning"
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db.commit()
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return {"status": "completed", "project_id": project_id, "matched": 0}
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finally:
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db.close()
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