Refactor _chat_stream_events in api_server.py to standardize SSE response format by removing additional status codes and consolidating output into a unified JSON structure. Update logging to enhance clarity on streaming events and improve error handling. Adjust documentation to reflect changes in event data structure.
This commit is contained in:
陈辅元
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+7
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@@ -659,7 +659,9 @@ async def _run_generate(
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async def _chat_stream_events(request: NLChatRequest) -> AsyncIterator[bytes]:
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async def _chat_stream_events(request: NLChatRequest) -> AsyncIterator[bytes]:
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if not request.message or not request.message.strip():
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if not request.message or not request.message.strip():
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lang = _normalize_lang_code(request.lang_code)
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lang = _normalize_lang_code(request.lang_code)
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yield _sse_data({"code": 400, "msg": _localized_empty_input_reply(lang), "data": None})
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yield _sse_data(
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{"stage": "sql_gen", "stream_kind": "content", "content": _localized_empty_input_reply(lang)}
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)
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return
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return
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text = request.message.strip()
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text = request.message.strip()
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orch = get_orchestrator()
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orch = get_orchestrator()
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@@ -696,16 +698,13 @@ async def _chat_stream_events(request: NLChatRequest) -> AsyncIterator[bytes]:
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len(reply),
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len(reply),
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reply[:500] + ("…" if len(reply) > 500 else ""),
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reply[:500] + ("…" if len(reply) > 500 else ""),
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)
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)
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yield _sse_data({"stage": "orchestrator", "stream_kind": "content", "content": "CHAT"})
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async for pkt in _sse_stream_text_chunks("sql_gen", reply):
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async for pkt in _sse_stream_text_chunks("chat", reply):
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yield pkt
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yield pkt
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data_dict = _conversation_nl_dict(reply)
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data_dict = _conversation_nl_dict(reply)
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data_dict["llm"] = _effective_llm_route_from_request(request)
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data_dict["llm"] = _effective_llm_route_from_request(request)
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yield _sse_data({"code": 200, "msg": "success", "data": data_dict})
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await _append_session_if_needed(request, text, data_dict)
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await _append_session_if_needed(request, text, data_dict)
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return
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return
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yield _sse_data({"stage": "orchestrator", "stream_kind": "content", "content": "DATA_QUERY"})
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dialect = resolve_sql_dialect(os.getenv("TEXT2SQL_DIALECT", "sqlserver"))
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dialect = resolve_sql_dialect(os.getenv("TEXT2SQL_DIALECT", "sqlserver"))
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dc_ctx = (dialog_block or "").strip() or None
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dc_ctx = (dialog_block or "").strip() or None
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top_k = 20
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top_k = 20
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@@ -759,7 +758,7 @@ async def _chat_stream_events(request: NLChatRequest) -> AsyncIterator[bytes]:
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result = holder["result"]
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result = holder["result"]
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except Exception as e:
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except Exception as e:
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logger.error(f"[API/stream] 生成异常: {e}", exc_info=True)
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logger.error(f"[API/stream] 生成异常: {e}", exc_info=True)
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yield _sse_data({"code": 500, "msg": str(e), "data": None})
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yield _sse_data({"stage": "sql_gen", "stream_kind": "content", "content": str(e)})
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return
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return
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sql_out = (result.sql or "").strip()
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sql_out = (result.sql or "").strip()
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@@ -792,8 +791,6 @@ async def _chat_stream_events(request: NLChatRequest) -> AsyncIterator[bytes]:
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data_dict = _nl_dict_from_generation(result)
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data_dict = _nl_dict_from_generation(result)
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data_dict["llm"] = _effective_llm_route_from_request(request)
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data_dict["llm"] = _effective_llm_route_from_request(request)
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msg = "success" if result.valid else "partial"
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yield _sse_data({"code": 200, "msg": msg, "data": data_dict})
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await _append_session_if_needed(request, text, data_dict)
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await _append_session_if_needed(request, text, data_dict)
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@@ -919,8 +916,8 @@ async def nl_chat(request: NLChatRequest):
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async def nl_chat_stream(request: NLChatRequest):
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async def nl_chat_stream(request: NLChatRequest):
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"""
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"""
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自然语言对话流式接口（SSE）。
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自然语言对话流式接口（SSE）。
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事件体为 JSON：分片 `data: {"stage","stream_kind","content"}`（例：sql_gen 时
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事件体为 JSON：仅发送分片 `data: {"stage":"sql_gen","stream_kind":"content","content":"..."}`，
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`stream_kind` 为 `content`）或结束包 `{code, msg, data}`。
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流结束表示完成；不再发送额外的结束包。
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"""
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"""
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return StreamingResponse(
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return StreamingResponse(
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_chat_stream_events(request),
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_chat_stream_events(request),
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+52
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@@ -1,50 +1,50 @@
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2026-04-16 13:35:24 INFO [utils.repo_logging] repo_logging.py:79 configure_text2sql_api_logging() | 日志文件: C:\Users\24019\Desktop\backman-camel\logs\text2sql_api.log
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2026-04-16 16:22:05 INFO [utils.repo_logging] repo_logging.py:79 configure_text2sql_api_logging() | 日志文件: C:\Users\24019\Desktop\backman-camel\logs\text2sql_api.log
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2026-04-16 13:35:29 INFO [__main__] api_server.py:85 <module>() | [OK] 已加载配置文件: C:\Users\24019\Desktop\backman-camel\.env
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2026-04-16 16:22:10 INFO [__main__] api_server.py:85 <module>() | [OK] 已加载配置文件: C:\Users\24019\Desktop\backman-camel\.env
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2026-04-16 13:35:29 INFO [__main__] api_server.py:1120 <module>() | 启动服务: http://0.0.0.0:8041
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2026-04-16 16:22:10 INFO [__main__] api_server.py:1108 <module>() | 启动服务: http://0.0.0.0:8041
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2026-04-16 13:35:29 INFO [__main__] api_server.py:1121 <module>() | API文档: http://0.0.0.0:8041/docs
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2026-04-16 16:22:10 INFO [__main__] api_server.py:1109 <module>() | API文档: http://0.0.0.0:8041/docs
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2026-04-16 13:35:29 INFO [uvicorn.error] server.py:92 _serve() | Started server process [37328]
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2026-04-16 16:22:10 INFO [uvicorn.error] server.py:92 _serve() | Started server process [33080]
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2026-04-16 13:35:29 INFO [uvicorn.error] on.py:48 startup() | Waiting for application startup.
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2026-04-16 16:22:10 INFO [uvicorn.error] on.py:48 startup() | Waiting for application startup.
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2026-04-16 13:35:29 INFO [__main__] api_server.py:811 lifespan() | ============================================================
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2026-04-16 16:22:10 INFO [__main__] api_server.py:799 lifespan() | ============================================================
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2026-04-16 13:35:29 INFO [__main__] api_server.py:812 lifespan() | Text2SQL API Server 启动中...
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2026-04-16 16:22:10 INFO [__main__] api_server.py:800 lifespan() | Text2SQL API Server 启动中...
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2026-04-16 13:35:29 INFO [__main__] api_server.py:813 lifespan() | ============================================================
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2026-04-16 16:22:10 INFO [__main__] api_server.py:801 lifespan() | ============================================================
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2026-04-16 13:35:29 INFO [main] main.py:126 setup_environment() | [OK] 环境检查通过
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2026-04-16 16:22:10 INFO [main] main.py:126 setup_environment() | [OK] 环境检查通过
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2026-04-16 13:35:29 INFO [main] main.py:127 setup_environment() | - Schema: data\schemas\G3SB_MCDataDictionary_table_structure.json
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2026-04-16 16:22:10 INFO [main] main.py:127 setup_environment() | - Schema: data\schemas\G3SB_MCDataDictionary_table_structure.json
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2026-04-16 13:35:29 INFO [main] main.py:128 setup_environment() | - LLM: openai
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2026-04-16 16:22:10 INFO [main] main.py:128 setup_environment() | - LLM: openai
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2026-04-16 13:35:29 INFO [main] main.py:154 load_schema() | 加载Schema: ./data/schemas/G3SB_MCDataDictionary_table_structure.json
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2026-04-16 16:22:10 INFO [main] main.py:154 load_schema() | 加载Schema: ./data/schemas/G3SB_MCDataDictionary_table_structure.json
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2026-04-16 13:35:29 INFO [main] main.py:156 load_schema() | 表注释(meta): ./data/schemas/G3SB_MCDataDictionary_table_meta.json
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2026-04-16 16:22:10 INFO [main] main.py:156 load_schema() | 表注释(meta): ./data/schemas/G3SB_MCDataDictionary_table_meta.json
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2026-04-16 13:35:30 INFO [schema.loader] loader.py:107 load_from_json() | [OK] 加载Schema完成(G3SB schemas): G3SB_MCDataDictionary_table_structure, 共2516张表
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2026-04-16 16:22:10 INFO [schema.loader] loader.py:107 load_from_json() | [OK] 加载Schema完成(G3SB schemas): G3SB_MCDataDictionary_table_structure, 共2516张表
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2026-04-16 13:35:30 INFO [main] main.py:163 load_schema() | [OK] Schema加载完成: G3SB_MCDataDictionary_table_structure, 共2516张表, 59196个字段
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2026-04-16 16:22:10 INFO [main] main.py:163 load_schema() | [OK] Schema加载完成: G3SB_MCDataDictionary_table_structure, 共2516张表, 59196个字段
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2026-04-16 13:35:33 INFO [llm.openai_client] openai_client.py:55 __init__() | [OK] OpenAIClient初始化: model=gpt-5.4, base_url=http://113.192.49.54:9080/v1
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2026-04-16 16:22:14 INFO [llm.openai_client] openai_client.py:55 __init__() | [OK] OpenAIClient初始化: model=gpt-4o-mini, base_url=http://113.192.49.54:9080/v1
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2026-04-16 13:35:35 INFO [utils.embedding] embedding.py:144 __init__() | 使用 OpenAI Embedding API：model=text-embedding-ada-002，base_url=http://113.192.49.54:9080/v1，max_batch=100
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2026-04-16 16:22:17 INFO [utils.embedding] embedding.py:144 __init__() | 使用 OpenAI Embedding API：model=text-embedding-ada-002，base_url=http://113.192.49.54:9080/v1，max_batch=100
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2026-04-16 13:35:37 INFO [utils.fewshot_chroma_store] fewshot_chroma_store.py:86 __init__() | [OK] FewShotChromaStore: 磁盘 data\embeddings\chroma_fewshot collection=fewshot_samples count=50
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2026-04-16 16:22:19 INFO [utils.fewshot_chroma_store] fewshot_chroma_store.py:86 __init__() | [OK] FewShotChromaStore: 磁盘 data\embeddings\chroma_fewshot collection=fewshot_samples count=50
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2026-04-16 13:35:37 INFO [utils.fewshot_selector] fewshot_selector.py:128 _init_chroma_mode() | [Few-shot] 已从向量库加载（Chroma 50 条，data\embeddings\chroma_fewshot）
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2026-04-16 16:22:19 INFO [utils.fewshot_selector] fewshot_selector.py:128 _init_chroma_mode() | [Few-shot] 已从向量库加载（Chroma 50 条，data\embeddings\chroma_fewshot）
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2026-04-16 13:35:37 INFO [utils.fewshot_selector] fewshot_selector.py:159 _init_chroma_mode() | [OK] Few-shot 使用 Chroma（50 条）
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2026-04-16 16:22:19 INFO [utils.fewshot_selector] fewshot_selector.py:159 _init_chroma_mode() | [OK] Few-shot 使用 Chroma（50 条）
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2026-04-16 13:35:37 INFO [agents.orchestrator] orchestrator.py:116 __init__() | Few-shot已启用: top_k=3, min_rating=7
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2026-04-16 16:22:19 INFO [agents.orchestrator] orchestrator.py:116 __init__() | Few-shot已启用: top_k=3, min_rating=7
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2026-04-16 13:35:37 INFO [agents.orchestrator] orchestrator.py:127 __init__() | [OK] Text2SQLOrchestrator初始化完成: max_retry=2, use_vector_search=True, fewshot=on, nl→zh_norm=on
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2026-04-16 16:22:19 INFO [agents.orchestrator] orchestrator.py:127 __init__() | [OK] Text2SQLOrchestrator初始化完成: max_retry=2, use_vector_search=True, fewshot=on, nl→zh_norm=on
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2026-04-16 13:35:37 INFO [__main__] api_server.py:132 get_orchestrator() | [OK] Orchestrator 初始化完成
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2026-04-16 16:22:19 INFO [__main__] api_server.py:132 get_orchestrator() | [OK] Orchestrator 初始化完成
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2026-04-16 13:35:37 INFO [__main__] api_server.py:817 lifespan() | [OK] 服务已就绪
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2026-04-16 16:22:19 INFO [__main__] api_server.py:805 lifespan() | [OK] 服务已就绪
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2026-04-16 13:35:37 INFO [uvicorn.error] on.py:62 startup() | Application startup complete.
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2026-04-16 16:22:19 INFO [uvicorn.error] on.py:62 startup() | Application startup complete.
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2026-04-16 13:35:37 INFO [uvicorn.error] server.py:224 _log_started_message() | Uvicorn running on http://0.0.0.0:8041 (Press CTRL+C to quit)
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2026-04-16 16:22:19 INFO [uvicorn.error] server.py:224 _log_started_message() | Uvicorn running on http://0.0.0.0:8041 (Press CTRL+C to quit)
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2026-04-16 13:35:52 INFO [uvicorn.access] httptools_impl.py:483 send() | 127.0.0.1:23615 - "POST /g3sb/api/nl/chat/stream HTTP/1.1" 200
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2026-04-16 16:22:20 INFO [uvicorn.access] httptools_impl.py:483 send() | 127.0.0.1:14651 - "POST /g3sb/api/nl/chat/stream HTTP/1.1" 200
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2026-04-16 13:35:52 INFO [__main__] api_server.py:668 _chat_stream_events() | [API/stream] 开始: user_id='anonymous' visitor_biz_id=None session_id=None service_code=None model='gpt-4o-mini' lang_code='auto' msg_chars=15 preview='所有客户账户之间的股票转移记录' dialog_context_chars=0 last_turn_was_data_query=False
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2026-04-16 16:22:20 INFO [__main__] api_server.py:669 _chat_stream_events() | [API/stream] 开始: user_id='anonymous' visitor_biz_id=None session_id=None service_code=None model='gpt-4o-mini' lang_code='auto' msg_chars=15 preview='所有客户账户之间的股票转移记录' dialog_context_chars=0 last_turn_was_data_query=False
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2026-04-16 13:35:55 INFO [llm.openai_client] openai_client.py:55 __init__() | [OK] OpenAIClient初始化: model=gpt-4o-mini, base_url=http://113.192.49.54:9080/v1
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2026-04-16 16:22:23 INFO [llm.openai_client] openai_client.py:55 __init__() | [OK] OpenAIClient初始化: model=gpt-4o-mini, base_url=http://113.192.49.54:9080/v1
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2026-04-16 13:35:55 INFO [utils.dialog_classifier] dialog_classifier.py:261 classify_dialog() | [dialog] intent=text2sql (hybrid fast: query hint) preview='所有客户账户之间的股票转移记录'
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2026-04-16 16:22:23 INFO [utils.dialog_classifier] dialog_classifier.py:261 classify_dialog() | [dialog] intent=text2sql (hybrid fast: query hint) preview='所有客户账户之间的股票转移记录'
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2026-04-16 13:35:55 INFO [__main__] api_server.py:715 _chat_stream_events() | [GEN/API/stream] dialect=tsql top_k=20 dialog_context_chars=0 question_len=15 preview='所有客户账户之间的股票转移记录'
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2026-04-16 16:22:23 INFO [__main__] api_server.py:712 _chat_stream_events() | [GEN/API/stream] dialect=tsql top_k=20 dialog_context_chars=0 question_len=15 preview='所有客户账户之间的股票转移记录'
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2026-04-16 13:35:57 INFO [llm.openai_client] openai_client.py:55 __init__() | [OK] OpenAIClient初始化: model=gpt-4o-mini, base_url=http://113.192.49.54:9080/v1
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2026-04-16 16:22:26 INFO [llm.openai_client] openai_client.py:55 __init__() | [OK] OpenAIClient初始化: model=gpt-4o-mini, base_url=http://113.192.49.54:9080/v1
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2026-04-16 13:36:00 INFO [agents.orchestrator] orchestrator.py:803 generate() | [GEN] 问句已归一中文：所有客户账户的股票转移记录
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2026-04-16 16:22:29 INFO [agents.orchestrator] orchestrator.py:803 generate() | [GEN] 问句已归一中文：所有客户账户的股票转移记录
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2026-04-16 13:36:00 INFO [agents.orchestrator] orchestrator.py:816 generate() | [GEN] 开始生成SQL: question_chars=13 preview='所有客户账户的股票转移记录' dialog_context_chars=0
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2026-04-16 16:22:29 INFO [agents.orchestrator] orchestrator.py:816 generate() | [GEN] 开始生成SQL: question_chars=13 preview='所有客户账户的股票转移记录' dialog_context_chars=0
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2026-04-16 13:36:00 INFO [agents.orchestrator] orchestrator.py:831 generate() | 尝试 #1
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2026-04-16 16:22:29 INFO [agents.orchestrator] orchestrator.py:831 generate() | 尝试 #1
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2026-04-16 13:36:00 INFO [schema.indexer] indexer.py:82 __init__() | [OK] 初始化SchemaIndexer(Chroma磁盘 path=data\embeddings\chroma): collection=schema_tables, count=2516
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2026-04-16 16:22:29 INFO [schema.indexer] indexer.py:82 __init__() | [OK] 初始化SchemaIndexer(Chroma磁盘 path=data\embeddings\chroma): collection=schema_tables, count=2516
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2026-04-16 13:36:00 INFO [schema.indexer] indexer.py:106 ensure_index_for_schema() | Schema 向量索引已就绪（2516 张表），跳过向量化
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2026-04-16 16:22:29 INFO [schema.indexer] indexer.py:106 ensure_index_for_schema() | Schema 向量索引已就绪（2516 张表），跳过向量化
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2026-04-16 13:36:00 INFO [agents.orchestrator] orchestrator.py:188 _coarse_filter() | [Orchestrator] 开始向量检索: query_chars=13 query_preview='所有客户账户的股票转移记录'
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2026-04-16 16:22:29 INFO [agents.orchestrator] orchestrator.py:188 _coarse_filter() | [Orchestrator] 开始向量检索: query_chars=13 query_preview='所有客户账户的股票转移记录'
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2026-04-16 13:36:02 INFO [utils.embedding] embedding.py:163 _set_dim_from_vector() | [OK] Embedding 向量维度：1536
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2026-04-16 16:22:30 INFO [utils.embedding] embedding.py:163 _set_dim_from_vector() | [OK] Embedding 向量维度：1536
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2026-04-16 13:36:03 INFO [schema.indexer] indexer.py:244 search() | Schema 向量检索: query_chars=13 命中=20（阈值=0.1）top=[('VSBHKRpt0430', 0.8264), ('VSBHKRpt0431', 0.8188), ('TSBTransferInstruction', 0.8147), ('VSBTransferInstruction', 0.8134), ('VSBHKRpt0397', 0.8126), ('VSBHKRpt0672', 0.8117), ('VSBHKRpt0090C', 0.81), ('VSBHKRpt0570', 0.8084), ('VSBHKRpt1030A', 0.8077), ('VSBRpt0999E', 0.8065), ('VSBRpt0999C', 0.8064), ('TSBAccountEntitlementRelease', 0.8063), ('VSBRpt0999A', 0.8059), ('TSBAccountInstrumentMovement', 0.8038), ('VSBTransferInstructionGenerationByAccountContract', 0.8033)]
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2026-04-16 16:22:31 INFO [schema.indexer] indexer.py:244 search() | Schema 向量检索: query_chars=13 命中=20（阈值=0.1）top=[('VSBHKRpt0430', 0.8264), ('VSBHKRpt0431', 0.8188), ('TSBTransferInstruction', 0.8147), ('VSBTransferInstruction', 0.8134), ('VSBHKRpt0397', 0.8126), ('VSBHKRpt0672', 0.8117), ('VSBHKRpt0090C', 0.81), ('VSBHKRpt0570', 0.8084), ('VSBHKRpt1030A', 0.8077), ('VSBRpt0999E', 0.8065), ('VSBRpt0999C', 0.8064), ('TSBAccountEntitlementRelease', 0.8063), ('VSBRpt0999A', 0.8059), ('TSBAccountInstrumentMovement', 0.8038), ('VSBTransferInstructionGenerationByAccountContract', 0.8033)]
|
||||||
2026-04-16 13:36:03 INFO [agents.orchestrator] orchestrator.py:204 _coarse_filter() | [Orchestrator] 向量粗筛: 命中=20 张（阈值内），表名+分: [('VSBHKRpt0430', 0.8264), ('VSBHKRpt0431', 0.8188), ('TSBTransferInstruction', 0.8147), ('VSBTransferInstruction', 0.8134), ('VSBHKRpt0397', 0.8126), ('VSBHKRpt0672', 0.8117), ('VSBHKRpt0090C', 0.81), ('VSBHKRpt0570', 0.8084), ('VSBHKRpt1030A', 0.8077), ('VSBRpt0999E', 0.8065), ('VSBRpt0999C', 0.8064), ('TSBAccountEntitlementRelease', 0.8063), ('VSBRpt0999A', 0.8059), ('TSBAccountInstrumentMovement', 0.8038), ('VSBTransferInstructionGenerationByAccountContract', 0.8033), ('VSBRpt0060', 0.8021), ('XCGatewayStockReconciliationReport', 0.802), ('TSBAccountEntitlementHold', 0.8013), ('WSBBatchLocationTransferDetail', 0.8012), ('VCAccountCashMovement', 0.8012)]
|
2026-04-16 16:22:31 INFO [agents.orchestrator] orchestrator.py:204 _coarse_filter() | [Orchestrator] 向量粗筛: 命中=20 张（阈值内），表名+分: [('VSBHKRpt0430', 0.8264), ('VSBHKRpt0431', 0.8188), ('TSBTransferInstruction', 0.8147), ('VSBTransferInstruction', 0.8134), ('VSBHKRpt0397', 0.8126), ('VSBHKRpt0672', 0.8117), ('VSBHKRpt0090C', 0.81), ('VSBHKRpt0570', 0.8084), ('VSBHKRpt1030A', 0.8077), ('VSBRpt0999E', 0.8065), ('VSBRpt0999C', 0.8064), ('TSBAccountEntitlementRelease', 0.8063), ('VSBRpt0999A', 0.8059), ('TSBAccountInstrumentMovement', 0.8038), ('VSBTransferInstructionGenerationByAccountContract', 0.8033), ('VSBRpt0060', 0.8021), ('XCGatewayStockReconciliationReport', 0.802), ('TSBAccountEntitlementHold', 0.8013), ('WSBBatchLocationTransferDetail', 0.8012), ('VCAccountCashMovement', 0.8012)]
|
||||||
2026-04-16 13:36:07 INFO [agents.orchestrator] orchestrator.py:258 _llm_select_tables() | LLM精筛选中表：['VSBHKRpt0430', 'VSBHKRpt0431', 'TSBTransferInstruction', 'VSBTransferInstruction', 'TSBAccountInstrumentMovement'] | reasoning_chars=181 reasoning_preview='问题涉及客户账户的股票转移记录，VSBHKRpt0430和VSBHKRpt0431提供了客户股票的日常转移报告和账户工具移动报告，TSBTransferInstruction和VSBTransferInstruction则记录了账户转移指令，TSBAccountInstrumentMovement包含账户工具的移动交易信息，这些表共同覆盖了股票转移的各个方面。'
|
2026-04-16 16:22:35 INFO [agents.orchestrator] orchestrator.py:258 _llm_select_tables() | LLM精筛选中表：['VSBHKRpt0430', 'VSBHKRpt0431', 'TSBTransferInstruction', 'VSBTransferInstruction', 'TSBAccountInstrumentMovement'] | reasoning_chars=192 reasoning_preview='问题涉及客户账户的股票转移记录，VSBHKRpt0430和VSBHKRpt0431提供了客户股票的日常转移报告和账户工具移动报告，TSBTransferInstruction和VSBTransferInstruction包含账户转移指令的详细信息，TSBAccountInstrumentMovement记录账户工具的移动交易。这些表共同涵盖了股票转移的各个方面，确保了信息的完整性。'
|
||||||
2026-04-16 13:36:07 INFO [agents.orchestrator] orchestrator.py:859 generate() | 选中表：['VSBHKRpt0430', 'VSBHKRpt0431', 'TSBTransferInstruction', 'VSBTransferInstruction', 'TSBAccountInstrumentMovement']，扩展后：['TSBTransferInstruction', 'VSBTransferInstruction', 'VSBHKRpt0431', 'VSBHKRpt0430', 'TSBAccountInstrumentMovement']
|
2026-04-16 16:22:35 INFO [agents.orchestrator] orchestrator.py:859 generate() | 选中表：['VSBHKRpt0430', 'VSBHKRpt0431', 'TSBTransferInstruction', 'VSBTransferInstruction', 'TSBAccountInstrumentMovement']，扩展后：['TSBAccountInstrumentMovement', 'TSBTransferInstruction', 'VSBHKRpt0431', 'VSBHKRpt0430', 'VSBTransferInstruction']
|
||||||
2026-04-16 13:36:08 INFO [utils.fewshot_selector] fewshot_selector.py:209 select_best_with_score() | [Few-shot] best_with_score: qid=Q2 score=0.9575 preview='列出今日所有客户账户之间的股票转移记录。'
|
2026-04-16 16:22:37 INFO [utils.fewshot_selector] fewshot_selector.py:209 select_best_with_score() | [Few-shot] best_with_score: qid=Q2 score=0.9575 preview='列出今日所有客户账户之间的股票转移记录。'
|
||||||
2026-04-16 13:36:08 INFO [agents.orchestrator] orchestrator.py:432 _generate_sql_golden_adapt() | [GEN] 黄金 few-shot 条件适配: qid=Q2 score=0.9575
|
2026-04-16 16:22:37 INFO [agents.orchestrator] orchestrator.py:432 _generate_sql_golden_adapt() | [GEN] 黄金 few-shot 条件适配: qid=Q2 score=0.9575
|
||||||
2026-04-16 13:36:12 INFO [agents.orchestrator] orchestrator.py:450 _generate_sql_golden_adapt() | 生成的SQL（黄金适配，chars=494）:
|
2026-04-16 16:22:41 INFO [agents.orchestrator] orchestrator.py:450 _generate_sql_golden_adapt() | 生成的SQL（黄金适配，chars=494）:
|
||||||
-- 查询所有客户账户间股票转移记录
|
-- 查询所有客户账户间股票转移记录
|
||||||
-- 使用 TSBAccountInstrumentMovement，MovementType='T' 表示账户间转移
|
-- 使用 TSBAccountInstrumentMovement，MovementType='T' 表示账户间转移
|
||||||
SELECT
|
SELECT
|
||||||
@@ -61,115 +61,8 @@ LEFT JOIN MCInstrument i ON m.InstrumentID = i.InstrumentID
|
|||||||
WHERE m.MovementType = 'T'
|
WHERE m.MovementType = 'T'
|
||||||
AND m.ValueDate = CAST(GETDATE() AS DATE)
|
AND m.ValueDate = CAST(GETDATE() AS DATE)
|
||||||
ORDER BY m.ValueDate;
|
ORDER BY m.ValueDate;
|
||||||
2026-04-16 13:36:12 INFO [db.engine] engine.py:45 get_engine() | SQLAlchemy engine initialized from database_url
|
2026-04-16 16:22:41 INFO [db.engine] engine.py:45 get_engine() | SQLAlchemy engine initialized from database_url
|
||||||
2026-04-16 13:36:12 INFO [db.dbhub_tools] dbhub_tools.py:627 _execute_sql() | _execute_sql 执行语句数=1 readonly=True max_rows=1
|
2026-04-16 16:22:41 INFO [db.dbhub_tools] dbhub_tools.py:627 _execute_sql() | _execute_sql 执行语句数=1 readonly=True max_rows=1
|
||||||
2026-04-16 13:36:15 INFO [agents.orchestrator] orchestrator.py:754 _validate_sql() | [validate] 程序+探针+LLM 汇总: valid=True err_count=0 warn_count=0 db_execution_status=0 sql_chars=494
|
2026-04-16 16:22:44 INFO [agents.orchestrator] orchestrator.py:754 _validate_sql() | [validate] 程序+探针+LLM 汇总: valid=True err_count=0 warn_count=0 db_execution_status=0 sql_chars=494
|
||||||
2026-04-16 13:36:15 INFO [agents.orchestrator] orchestrator.py:921 generate() | [OK] SQL生成与验证通过（1次尝试）
|
2026-04-16 16:22:44 INFO [agents.orchestrator] orchestrator.py:921 generate() | [OK] SQL生成与验证通过（1次尝试）
|
||||||
2026-04-16 13:36:15 INFO [__main__] api_server.py:776 _chat_stream_events() | [API/stream] Text2SQL 完成: valid=True attempts=1 tables_used=['TSBTransferInstruction', 'VSBTransferInstruction', 'VSBHKRpt0431', 'VSBHKRpt0430', 'TSBAccountInstrumentMovement'] sql_chars=494 sql_head="-- 查询所有客户账户间股票转移记录\n-- 使用 TSBAccountInstrumentMovement，MovementType='T' 表示账户间转移\nSELECT \n m.MovementID,\n m.AccountID AS FromAccountID,\n m.TransferToAccountID,\n m.InstrumentID,\n i.Name AS InstrumentSymbol,\n m.MovementType,\n m.Quantity AS TransferQuantity,\n m.ValueDate AS TransferDate\nFROM TSBAccountInstrumentMovement m\nLEFT JOIN MCInstrument i ON m.InstrumentID = i.InstrumentID\nWHERE m.MovementType = 'T'\n AND m.ValueDate = CAST(GETDATE() AS DATE)\nORDER BY m.ValueDate;"
|
2026-04-16 16:22:44 INFO [__main__] api_server.py:765 _chat_stream_events() | [API/stream] Text2SQL 完成: valid=True attempts=1 tables_used=['TSBAccountInstrumentMovement', 'TSBTransferInstruction', 'VSBHKRpt0431', 'VSBHKRpt0430', 'VSBTransferInstruction'] sql_chars=494 sql_head="-- 查询所有客户账户间股票转移记录\n-- 使用 TSBAccountInstrumentMovement，MovementType='T' 表示账户间转移\nSELECT \n m.MovementID,\n m.AccountID AS FromAccountID,\n m.TransferToAccountID,\n m.InstrumentID,\n i.Name AS InstrumentSymbol,\n m.MovementType,\n m.Quantity AS TransferQuantity,\n m.ValueDate AS TransferDate\nFROM TSBAccountInstrumentMovement m\nLEFT JOIN MCInstrument i ON m.InstrumentID = i.InstrumentID\nWHERE m.MovementType = 'T'\n AND m.ValueDate = CAST(GETDATE() AS DATE)\nORDER BY m.ValueDate;"
|
||||||
2026-04-16 13:47:46 INFO [uvicorn.access] httptools_impl.py:483 send() | 127.0.0.1:27791 - "POST /g3sb/api/nl/chat/stream HTTP/1.1" 200
|
|
||||||
2026-04-16 13:47:46 INFO [__main__] api_server.py:668 _chat_stream_events() | [API/stream] 开始: user_id='anonymous' visitor_biz_id=None session_id=None service_code=None model='gpt-4o-mini' lang_code='auto' msg_chars=15 preview='所有客户账户之间的股票转移记录' dialog_context_chars=0 last_turn_was_data_query=False
|
|
||||||
2026-04-16 13:47:49 INFO [llm.openai_client] openai_client.py:55 __init__() | [OK] OpenAIClient初始化: model=gpt-4o-mini, base_url=http://113.192.49.54:9080/v1
|
|
||||||
2026-04-16 13:47:49 INFO [utils.dialog_classifier] dialog_classifier.py:261 classify_dialog() | [dialog] intent=text2sql (hybrid fast: query hint) preview='所有客户账户之间的股票转移记录'
|
|
||||||
2026-04-16 13:47:49 INFO [__main__] api_server.py:715 _chat_stream_events() | [GEN/API/stream] dialect=tsql top_k=20 dialog_context_chars=0 question_len=15 preview='所有客户账户之间的股票转移记录'
|
|
||||||
2026-04-16 13:47:52 INFO [llm.openai_client] openai_client.py:55 __init__() | [OK] OpenAIClient初始化: model=gpt-4o-mini, base_url=http://113.192.49.54:9080/v1
|
|
||||||
2026-04-16 13:47:54 INFO [agents.orchestrator] orchestrator.py:803 generate() | [GEN] 问句已归一中文：所有客户账户的股票转移记录
|
|
||||||
2026-04-16 13:47:54 INFO [agents.orchestrator] orchestrator.py:816 generate() | [GEN] 开始生成SQL: question_chars=13 preview='所有客户账户的股票转移记录' dialog_context_chars=0
|
|
||||||
2026-04-16 13:47:54 INFO [agents.orchestrator] orchestrator.py:831 generate() | 尝试 #1
|
|
||||||
2026-04-16 13:47:54 INFO [schema.indexer] indexer.py:106 ensure_index_for_schema() | Schema 向量索引已就绪（2516 张表），跳过向量化
|
|
||||||
2026-04-16 13:47:54 INFO [agents.orchestrator] orchestrator.py:188 _coarse_filter() | [Orchestrator] 开始向量检索: query_chars=13 query_preview='所有客户账户的股票转移记录'
|
|
||||||
2026-04-16 13:47:56 INFO [schema.indexer] indexer.py:244 search() | Schema 向量检索: query_chars=13 命中=20（阈值=0.1）top=[('VSBHKRpt0430', 0.8264), ('VSBHKRpt0431', 0.8188), ('TSBTransferInstruction', 0.8147), ('VSBTransferInstruction', 0.8134), ('VSBHKRpt0397', 0.8126), ('VSBHKRpt0672', 0.8117), ('VSBHKRpt0090C', 0.81), ('VSBHKRpt0570', 0.8084), ('VSBHKRpt1030A', 0.8077), ('VSBRpt0999E', 0.8065), ('VSBRpt0999C', 0.8064), ('TSBAccountEntitlementRelease', 0.8063), ('VSBRpt0999A', 0.8059), ('TSBAccountInstrumentMovement', 0.8038), ('VSBTransferInstructionGenerationByAccountContract', 0.8033)]
|
|
||||||
2026-04-16 13:47:56 INFO [agents.orchestrator] orchestrator.py:204 _coarse_filter() | [Orchestrator] 向量粗筛: 命中=20 张（阈值内），表名+分: [('VSBHKRpt0430', 0.8264), ('VSBHKRpt0431', 0.8188), ('TSBTransferInstruction', 0.8147), ('VSBTransferInstruction', 0.8134), ('VSBHKRpt0397', 0.8126), ('VSBHKRpt0672', 0.8117), ('VSBHKRpt0090C', 0.81), ('VSBHKRpt0570', 0.8084), ('VSBHKRpt1030A', 0.8077), ('VSBRpt0999E', 0.8065), ('VSBRpt0999C', 0.8064), ('TSBAccountEntitlementRelease', 0.8063), ('VSBRpt0999A', 0.8059), ('TSBAccountInstrumentMovement', 0.8038), ('VSBTransferInstructionGenerationByAccountContract', 0.8033), ('VSBRpt0060', 0.8021), ('XCGatewayStockReconciliationReport', 0.802), ('TSBAccountEntitlementHold', 0.8013), ('WSBBatchLocationTransferDetail', 0.8012), ('VCAccountCashMovement', 0.8012)]
|
|
||||||
2026-04-16 13:48:00 INFO [agents.orchestrator] orchestrator.py:258 _llm_select_tables() | LLM精筛选中表：['VSBHKRpt0430', 'VSBHKRpt0431', 'TSBTransferInstruction', 'VSBTransferInstruction', 'TSBAccountInstrumentMovement'] | reasoning_chars=182 reasoning_preview='问题涉及客户账户的股票转移记录，VSBHKRpt0430和VSBHKRpt0431提供了客户股票的日常转移报告和账户工具移动报告，TSBTransferInstruction和VSBTransferInstruction包含账户转移指令的详细信息，TSBAccountInstrumentMovement记录账户工具的移动交易。这些表共同涵盖了股票转移的相关信息。'
|
|
||||||
2026-04-16 13:48:00 INFO [agents.orchestrator] orchestrator.py:859 generate() | 选中表：['VSBHKRpt0430', 'VSBHKRpt0431', 'TSBTransferInstruction', 'VSBTransferInstruction', 'TSBAccountInstrumentMovement']，扩展后：['TSBTransferInstruction', 'VSBTransferInstruction', 'VSBHKRpt0431', 'VSBHKRpt0430', 'TSBAccountInstrumentMovement']
|
|
||||||
2026-04-16 13:48:01 INFO [utils.fewshot_selector] fewshot_selector.py:209 select_best_with_score() | [Few-shot] best_with_score: qid=Q2 score=0.9575 preview='列出今日所有客户账户之间的股票转移记录。'
|
|
||||||
2026-04-16 13:48:01 INFO [agents.orchestrator] orchestrator.py:432 _generate_sql_golden_adapt() | [GEN] 黄金 few-shot 条件适配: qid=Q2 score=0.9575
|
|
||||||
2026-04-16 13:48:06 INFO [agents.orchestrator] orchestrator.py:450 _generate_sql_golden_adapt() | 生成的SQL（黄金适配，chars=494）:
|
|
||||||
-- 查询所有客户账户间股票转移记录
|
|
||||||
-- 使用 TSBAccountInstrumentMovement，MovementType='T' 表示账户间转移
|
|
||||||
SELECT
|
|
||||||
m.MovementID,
|
|
||||||
m.AccountID AS FromAccountID,
|
|
||||||
m.TransferToAccountID,
|
|
||||||
m.InstrumentID,
|
|
||||||
i.Name AS InstrumentSymbol,
|
|
||||||
m.MovementType,
|
|
||||||
m.Quantity AS TransferQuantity,
|
|
||||||
m.ValueDate AS TransferDate
|
|
||||||
FROM TSBAccountInstrumentMovement m
|
|
||||||
LEFT JOIN MCInstrument i ON m.InstrumentID = i.InstrumentID
|
|
||||||
WHERE m.MovementType = 'T'
|
|
||||||
AND m.ValueDate = CAST(GETDATE() AS DATE)
|
|
||||||
ORDER BY m.ValueDate;
|
|
||||||
2026-04-16 13:48:06 INFO [db.dbhub_tools] dbhub_tools.py:627 _execute_sql() | _execute_sql 执行语句数=1 readonly=True max_rows=1
|
|
||||||
2026-04-16 13:48:08 INFO [openai._base_client] _base_client.py:1111 _sleep_for_retry() | Retrying request to /chat/completions in 0.481978 seconds
|
|
||||||
2026-04-16 13:48:13 INFO [agents.orchestrator] orchestrator.py:754 _validate_sql() | [validate] 程序+探针+LLM 汇总: valid=True err_count=0 warn_count=0 db_execution_status=0 sql_chars=494
|
|
||||||
2026-04-16 13:48:13 INFO [agents.orchestrator] orchestrator.py:921 generate() | [OK] SQL生成与验证通过（1次尝试）
|
|
||||||
2026-04-16 13:48:13 INFO [__main__] api_server.py:776 _chat_stream_events() | [API/stream] Text2SQL 完成: valid=True attempts=1 tables_used=['TSBTransferInstruction', 'VSBTransferInstruction', 'VSBHKRpt0431', 'VSBHKRpt0430', 'TSBAccountInstrumentMovement'] sql_chars=494 sql_head="-- 查询所有客户账户间股票转移记录\n-- 使用 TSBAccountInstrumentMovement，MovementType='T' 表示账户间转移\nSELECT \n m.MovementID,\n m.AccountID AS FromAccountID,\n m.TransferToAccountID,\n m.InstrumentID,\n i.Name AS InstrumentSymbol,\n m.MovementType,\n m.Quantity AS TransferQuantity,\n m.ValueDate AS TransferDate\nFROM TSBAccountInstrumentMovement m\nLEFT JOIN MCInstrument i ON m.InstrumentID = i.InstrumentID\nWHERE m.MovementType = 'T'\n AND m.ValueDate = CAST(GETDATE() AS DATE)\nORDER BY m.ValueDate;"
|
|
||||||
2026-04-16 14:40:07 INFO [uvicorn.access] httptools_impl.py:483 send() | 192.168.3.210:53090 - "POST /g3sb/api/nl/chat/stream HTTP/1.1" 200
|
|
||||||
2026-04-16 14:50:35 INFO [__main__] api_server.py:668 _chat_stream_events() | [API/stream] 开始: user_id='ACCOUNT' visitor_biz_id=None session_id='a68b69c0-d945-4553-869f-3538d42900f9' service_code='openai' model=None lang_code='zh' msg_chars=3 preview='123' dialog_context_chars=0 last_turn_was_data_query=False
|
|
||||||
2026-04-16 14:50:38 INFO [llm.openai_client] openai_client.py:55 __init__() | [OK] OpenAIClient初始化: model=gpt-5.4, base_url=http://113.192.49.54:9080/v1
|
|
||||||
2026-04-16 14:50:38 INFO [uvicorn.error] server.py:272 shutdown() | Shutting down
|
|
||||||
2026-04-16 14:50:38 ERROR [asyncio] base_events.py:1820 default_exception_handler() | Exception in callback BaseProactorEventLoop._start_serving.<locals>.loop(<_OverlappedF...210', 55004))>) at D:\conda\Lib\asyncio\proactor_events.py:843
|
|
||||||
handle: <Handle BaseProactorEventLoop._start_serving.<locals>.loop(<_OverlappedF...210', 55004))>) at D:\conda\Lib\asyncio\proactor_events.py:843>
|
|
||||||
Traceback (most recent call last):
|
|
||||||
File "D:\conda\Lib\asyncio\events.py", line 88, in _run
|
|
||||||
self._context.run(self._callback, *self._args)
|
|
||||||
File "D:\conda\Lib\asyncio\proactor_events.py", line 858, in loop
|
|
||||||
self._make_socket_transport(
|
|
||||||
File "D:\conda\Lib\asyncio\proactor_events.py", line 647, in _make_socket_transport
|
|
||||||
return _ProactorSocketTransport(self, sock, protocol, waiter,
|
|
||||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
|
||||||
File "D:\conda\Lib\asyncio\proactor_events.py", line 613, in __init__
|
|
||||||
super().__init__(loop, sock, protocol, waiter, extra, server)
|
|
||||||
File "D:\conda\Lib\asyncio\proactor_events.py", line 189, in __init__
|
|
||||||
super().__init__(loop, sock, protocol, waiter, extra, server)
|
|
||||||
File "D:\conda\Lib\asyncio\proactor_events.py", line 335, in __init__
|
|
||||||
super().__init__(*args, **kw)
|
|
||||||
File "D:\conda\Lib\asyncio\proactor_events.py", line 66, in __init__
|
|
||||||
self._server._attach()
|
|
||||||
File "D:\conda\Lib\asyncio\base_events.py", line 296, in _attach
|
|
||||||
assert self._sockets is not None
|
|
||||||
^^^^^^^^^^^^^^^^^^^^^^^^^
|
|
||||||
AssertionError
|
|
||||||
2026-04-16 14:50:38 INFO [uvicorn.error] server.py:102 _serve() | Finished server process [37328]
|
|
||||||
2026-04-16 14:50:38 ERROR [uvicorn.error] on.py:134 send() | Traceback (most recent call last):
|
|
||||||
File "D:\conda\Lib\asyncio\runners.py", line 194, in run
|
|
||||||
return runner.run(main)
|
|
||||||
^^^^^^^^^^^^^^^^
|
|
||||||
File "D:\conda\Lib\asyncio\runners.py", line 118, in run
|
|
||||||
return self._loop.run_until_complete(task)
|
|
||||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
|
||||||
File "D:\conda\Lib\asyncio\base_events.py", line 674, in run_until_complete
|
|
||||||
self.run_forever()
|
|
||||||
File "D:\conda\Lib\asyncio\windows_events.py", line 322, in run_forever
|
|
||||||
super().run_forever()
|
|
||||||
File "D:\conda\Lib\asyncio\base_events.py", line 641, in run_forever
|
|
||||||
self._run_once()
|
|
||||||
File "D:\conda\Lib\asyncio\base_events.py", line 1986, in _run_once
|
|
||||||
handle._run()
|
|
||||||
File "D:\conda\Lib\asyncio\events.py", line 88, in _run
|
|
||||||
self._context.run(self._callback, *self._args)
|
|
||||||
File "C:\Users\24019\AppData\Roaming\Python\Python312\site-packages\uvicorn\server.py", line 78, in serve
|
|
||||||
with self.capture_signals():
|
|
||||||
^^^^^^^^^^^^^^^^^^^^^^
|
|
||||||
File "D:\conda\Lib\contextlib.py", line 144, in __exit__
|
|
||||||
next(self.gen)
|
|
||||||
File "C:\Users\24019\AppData\Roaming\Python\Python312\site-packages\uvicorn\server.py", line 339, in capture_signals
|
|
||||||
signal.raise_signal(captured_signal)
|
|
||||||
File "D:\conda\Lib\asyncio\runners.py", line 157, in _on_sigint
|
|
||||||
raise KeyboardInterrupt()
|
|
||||||
KeyboardInterrupt
|
|
||||||
|
|
||||||
During handling of the above exception, another exception occurred:
|
|
||||||
|
|
||||||
Traceback (most recent call last):
|
|
||||||
File "C:\Users\24019\AppData\Roaming\Python\Python312\site-packages\starlette\routing.py", line 645, in lifespan
|
|
||||||
await receive()
|
|
||||||
File "C:\Users\24019\AppData\Roaming\Python\Python312\site-packages\uvicorn\lifespan\on.py", line 137, in receive
|
|
||||||
return await self.receive_queue.get()
|
|
||||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
|
||||||
File "D:\conda\Lib\asyncio\queues.py", line 158, in get
|
|
||||||
await getter
|
|
||||||
asyncio.exceptions.CancelledError
|
|
||||||
|
|
||||||
2026-04-16 14:50:43 INFO [utils.dialog_classifier] dialog_classifier.py:211 _classify_dialog_llm() | [dialog] intent=conversation (LLM) reply_chars=51 reply_preview='请具体说明你想查询什么数据，例如时间范围、品种、账户或指标。仅输入“123”我还无法判断你的查询需求。'
|
|
||||||
|
|||||||
Reference in New Issue
Block a user