shinalok
145b0cc96f
- Phase 12: FeedbackRepository + td_feedback 테이블, Gradio 👍/👎 이벤트, run_id 추적, LangSmith create_feedback() 연동 - Phase 13: 커스텀 _SemanticSplitter 제거 → langchain_experimental.SemanticChunker 교체, buffer_size/threshold_type 환경변수 적용 - Phase 13-B: RerankService (Cross-Encoder), RetrieverService.search()에 reranker 통합, tools.py as_retriever() → search() 전환 - Bug 5: mlx_chat_model enable_thinking 런타임 오버라이드, agent_service stream_mode=["messages","custom"] 이중 스트림, thinking 토큰 custom 이벤트로 emit - ROADMAP: LLM 모델명 8B 반영, RAG에 Reranker 추가, 추천 진행 순서 갱신 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
20 lines
536 B
Python
20 lines
536 B
Python
class FeedbackRepository:
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def __init__(self, db):
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self._db = db
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def save_feedback(
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self,
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user_id: str,
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message: str,
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response: str,
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rating: int,
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langsmith_run_id: str | None = None,
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) -> None:
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self._db.execute_write(
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"""
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INSERT INTO td_feedback (user_id, message, response, rating, langsmith_run_id)
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VALUES (%s, %s, %s, %s, %s)
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""",
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(user_id, message, response, rating, langsmith_run_id),
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)
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