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fix(search-service): Pass structured_answer through SearchOutput (#632)
* fix(search-service): Pass structured_answer through SearchOutput Add structured_answer field to SearchOutput creation to ensure citations and structured output data flows through the search pipeline. **Changes:** 1. **SearchOutput Creation** (search_service.py:586): - Add `structured_answer=result_context.structured_answer` to SearchOutput - Ensures structured output (with citations) is included in search results - Previously: Field existed in schema but not populated from result_context 2. **Debug Logging**: - Log document_metadata count before SearchOutput creation - Log first document name for debugging - Helps track data flow through search pipeline **Why This Matters:** - SearchOutput schema has `structured_answer: StructuredAnswer | None` field - generation_stage.py creates structured output and adds to result_context - But SearchService wasn't passing it through to SearchOutput - Result: Structured output generated but lost before returning to caller **Data Flow:** ``` generation_stage.py ↓ result_context.structured_answer = StructuredAnswer(...) ↓ SearchService._search_with_executor() ↓ SearchOutput( answer=..., documents=..., structured_answer=result_context.structured_answer ← ADDED ) ↓ MessageProcessingOrchestrator ↓ Frontend (citations display) ``` **Testing:** - Structured output now included in SearchOutput - Citations data flows through to conversation API response - No breaking changes (field is optional, None if not generated) **Dependencies:** - Requires PR #626 (Structured Output schema) for StructuredAnswer field definition - Works with PR #631 (Conversation API config) to enable user-controlled structured output **Related:** - Part of Issue #629 fix (citations not displaying) - Small but critical piece of the structured output pipeline * fix(search-service): Add structured_answer support to SearchContext and SearchOutput - Add structured_answer field to SearchOutput schema with StructuredAnswer import - Add structured_answer field to SearchContext dataclass for pipeline data flow - Fix quote style in search_service.py debug logging (double quotes) - Apply Ruff formatting to search_service.py This ensures structured output with citations generated by generation_stage.py flows through to the SearchOutput response and reaches the frontend. Related to PR #626 (Structured Output schema) Enables PR #630 (Frontend Citations UI) Signed-off-by: Claude <[email protected]> Signed-off-by: manavgup <[email protected]> --------- Signed-off-by: Claude <[email protected]> Signed-off-by: manavgup <[email protected]>
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backend/rag_solution/services/search_service.py

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@@ -569,6 +569,18 @@ async def _search_with_pipeline(self, search_input: SearchInput) -> SearchOutput
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# Convert cot_output from ChainOfThoughtOutput to dict if present
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cot_output_dict = result_context.cot_output.model_dump() if result_context.cot_output else None
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# Debug: Log document_metadata before creating SearchOutput
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logger.info(
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"📊 SEARCH_SERVICE: result_context.document_metadata has %d items", len(result_context.document_metadata)
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)
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if result_context.document_metadata:
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logger.info(
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"📊 SEARCH_SERVICE: First doc_metadata = %s",
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result_context.document_metadata[0].document_name
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if hasattr(result_context.document_metadata[0], "document_name")
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else "NO DOCUMENT_NAME",
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)
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search_output = SearchOutput(
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answer=cleaned_answer,
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documents=result_context.document_metadata,

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