sajad-dev
2c42ebe01c
- Removed deprecated user_info files and paths from configuration. - Added user soil data integration in chat context to improve response accuracy. - Updated build_rag_context and chat_rag_stream functions to include sensor_uuid for user-specific data retrieval. - Enhanced load_sources function to load user data from the database. - Implemented filtering in search_with_query and QdrantVectorStore to isolate user data based on sensor_uuid. - Introduced Celery Beat schedule for periodic user data ingestion.
18 lines
489 B
Python
18 lines
489 B
Python
"""
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تسکهای Celery برای RAG
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"""
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from config.celery import app
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from .ingest import ingest
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@app.task
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def rag_ingest_task(recreate: bool = True):
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"""
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embed و ذخیره دیتای همه کاربران در Qdrant.
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هر چند ساعت یکبار اجرا شود (از طریق Celery Beat).
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recreate=True: collection از نو ساخته میشود تا دیتای قدیمی حذف شود.
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"""
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result = ingest(recreate=recreate)
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return result
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