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import logging |
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from qdrant_client import QdrantClient |
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from qdrant_client.http.models import Filter, FieldCondition |
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class QdrantSearcher: |
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def __init__(self, encoder, qdrant_url, access_token): |
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self.encoder = encoder |
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self.client = QdrantClient(url=qdrant_url, api_key=access_token) |
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def search_documents(self, collection_name, query, user_id, limit=3): |
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logging.info("Starting document search") |
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query_vector = self.encoder.encode(query).tolist() |
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query_filter = Filter(must=[FieldCondition(key="user_id", match={"value": user_id})]) |
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try: |
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hits = self.client.search( |
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collection_name=collection_name, |
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query_vector=query_vector, |
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limit=limit, |
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query_filter=query_filter |
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) |
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except Exception as e: |
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logging.error(f"Error during Qdrant search: {e}") |
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return None, str(e) |
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if not hits: |
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logging.info("No documents found for the given query") |
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return None, "No documents found for the given query." |
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hits_list = [] |
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for hit in hits: |
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hit_info = { |
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"id": hit.id, |
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"score": hit.score, |
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"file_id": hit.payload.get('file_id'), |
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"organization_id": hit.payload.get('organization_id'), |
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"chunk_index": hit.payload.get('chunk_index'), |
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"chunk_text": hit.payload.get('chunk_text'), |
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"s3_bucket_key": hit.payload.get('s3_bucket_key') |
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} |
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hits_list.append(hit_info) |
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logging.info(f"Document search completed with {len(hits_list)} hits") |
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return hits_list, None |
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