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feat(backend): Use deterministic content in connector ingestion
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parent
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commit
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24 changed files with 80 additions and 625 deletions
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@ -9,7 +9,6 @@ from app.utils.document_converters import (
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create_document_chunks,
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embed_text,
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generate_content_hash,
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generate_document_summary,
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generate_unique_identifier_hash,
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)
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@ -78,30 +77,11 @@ class GmailKBSyncService:
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)
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content_hash = unique_hash
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from app.services.llm_service import get_user_long_context_llm
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user_llm = await get_user_long_context_llm(
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self.db_session,
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user_id,
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search_space_id,
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disable_streaming=True,
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)
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doc_metadata_for_summary = {
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"subject": subject,
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"sender": sender,
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"document_type": "Gmail Message",
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"connector_type": "Gmail",
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}
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if user_llm:
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summary_content, summary_embedding = await generate_document_summary(
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indexable_content, user_llm, doc_metadata_for_summary
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)
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else:
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logger.warning("No LLM configured -- using fallback summary")
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summary_content = f"Gmail Message: {subject}\n\n{indexable_content}"
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summary_embedding = await asyncio.to_thread(embed_text, summary_content)
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summary_content = f"Gmail Message: {subject}\n\n{indexable_content}"
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summary_embedding = await asyncio.to_thread(embed_text, summary_content)
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chunks = await create_document_chunks(indexable_content)
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now_str = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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