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Refactor api_server.py to import environment setup and schema loading from bootstrap.py, enhancing modularity. Introduce a new function in Text2SQLOrchestrator to prioritize VCUserAccessibleFunction in table selection, improving SQL generation accuracy. Update validation logic to enforce restrictions on CJK characters in SQL string literals, ensuring compliance with business rules. Enhance prompts to clarify SQL generation constraints regarding date conditions and CJK usage.

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陈辅元
2026-04-17 15:15:01 +08:00
parent bcb9a205fa
commit 3891aae7fe
19 changed files with 707 additions and 306 deletions
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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
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
2026-04-16 16:22:10 INFO [__main__] api_server.py:1108 <module>() | 启动服务: http://0.0.0.0:8041
2026-04-16 16:22:10 INFO [__main__] api_server.py:1109 <module>() | API文档: http://0.0.0.0:8041/docs
2026-04-16 16:22:10 INFO [uvicorn.error] server.py:92 _serve() | Started server process [33080]
2026-04-16 16:22:10 INFO [uvicorn.error] on.py:48 startup() | Waiting for application startup.
2026-04-16 16:22:10 INFO [__main__] api_server.py:799 lifespan() | ============================================================
2026-04-16 16:22:10 INFO [__main__] api_server.py:800 lifespan() | Text2SQL API Server 启动中...
2026-04-16 16:22:10 INFO [__main__] api_server.py:801 lifespan() | ============================================================
2026-04-16 16:22:10 INFO [main] main.py:126 setup_environment() | [OK] 环境检查通过
2026-04-16 16:22:10 INFO [main] main.py:127 setup_environment() | - Schema: data\schemas\G3SB_MCDataDictionary_table_structure.json
2026-04-16 16:22:10 INFO [main] main.py:128 setup_environment() | - LLM: openai
2026-04-16 16:22:10 INFO [main] main.py:154 load_schema() | 加载Schema: ./data/schemas/G3SB_MCDataDictionary_table_structure.json
2026-04-16 16:22:10 INFO [main] main.py:156 load_schema() | 表注释(meta): ./data/schemas/G3SB_MCDataDictionary_table_meta.json
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
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
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
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
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
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）
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）
2026-04-16 16:22:19 INFO [agents.orchestrator] orchestrator.py:116 __init__() | Few-shot已启用: top_k=3, min_rating=7
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
2026-04-16 16:22:19 INFO [__main__] api_server.py:132 get_orchestrator() | [OK] Orchestrator 初始化完成
2026-04-16 16:22:19 INFO [__main__] api_server.py:805 lifespan() | [OK] 服务已就绪
2026-04-16 16:22:19 INFO [uvicorn.error] on.py:62 startup() | Application startup complete.
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)
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
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
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
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'
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'
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
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
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
2026-04-16 16:22:29 INFO [agents.orchestrator] orchestrator.py:831 generate() | 尝试 #1
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
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
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'
2026-04-16 16:22:30 INFO [utils.embedding] embedding.py:163 _set_dim_from_vector() | [OK] Embedding 向量维度：1536
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 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 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 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 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 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 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
-- 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 16:22:41 INFO [db.engine] engine.py:45 get_engine() | SQLAlchemy engine initialized from database_url
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 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 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 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;"
2026-04-17 10:48:50 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
2026-04-17 10:48:55 INFO [__main__] api_server.py:86 <module>() | [OK] 已加载配置文件: C:\Users\24019\Desktop\backman-camel\.env
2026-04-17 10:48:55 INFO [__main__] api_server.py:1299 <module>() | 启动服务: http://0.0.0.0:8041
2026-04-17 10:48:55 INFO [__main__] api_server.py:1300 <module>() | API文档: http://0.0.0.0:8041/docs
2026-04-17 10:48:55 INFO [uvicorn.error] server.py:92 _serve() | Started server process [38600]
2026-04-17 10:48:55 INFO [uvicorn.error] on.py:48 startup() | Waiting for application startup.
2026-04-17 10:48:55 INFO [__main__] api_server.py:969 lifespan() | ============================================================
2026-04-17 10:48:55 INFO [__main__] api_server.py:970 lifespan() | Text2SQL API Server 启动中...
2026-04-17 10:48:55 INFO [__main__] api_server.py:971 lifespan() | ============================================================
2026-04-17 10:48:55 INFO [main] main.py:126 setup_environment() | [OK] 环境检查通过
2026-04-17 10:48:55 INFO [main] main.py:127 setup_environment() | - Schema: data\schemas\G3SB_MCDataDictionary_table_structure.json
2026-04-17 10:48:55 INFO [main] main.py:128 setup_environment() | - LLM: openai
2026-04-17 10:48:55 INFO [main] main.py:154 load_schema() | 加载Schema: ./data/schemas/G3SB_MCDataDictionary_table_structure.json
2026-04-17 10:48:55 INFO [main] main.py:156 load_schema() | 表注释(meta): ./data/schemas/G3SB_MCDataDictionary_table_meta.json
2026-04-17 10:48:55 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
2026-04-17 10:48:55 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
2026-04-17 10:48:59 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
2026-04-17 10:49:01 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
2026-04-17 10:49:03 INFO [utils.fewshot_chroma_store] fewshot_chroma_store.py:86 __init__() | [OK] FewShotChromaStore: 磁盘 data\embeddings\chroma_fewshot collection=fewshot_samples count=50
2026-04-17 10:49:03 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）
2026-04-17 10:49:03 INFO [utils.fewshot_selector] fewshot_selector.py:159 _init_chroma_mode() | [OK] Few-shot 使用 Chroma（50 条）
2026-04-17 10:49:03 INFO [agents.orchestrator] orchestrator.py:116 __init__() | Few-shot已启用: top_k=3, min_rating=7
2026-04-17 10:49:03 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
2026-04-17 10:49:03 INFO [__main__] api_server.py:133 get_orchestrator() | [OK] Orchestrator 初始化完成
2026-04-17 10:49:03 INFO [__main__] api_server.py:975 lifespan() | [OK] 服务已就绪
2026-04-17 10:49:03 INFO [uvicorn.error] on.py:62 startup() | Application startup complete.
2026-04-17 10:49:03 INFO [uvicorn.error] server.py:224 _log_started_message() | Uvicorn running on http://0.0.0.0:8041 (Press CTRL+C to quit)
2026-04-17 10:49:16 INFO [uvicorn.access] httptools_impl.py:483 send() | 127.0.0.1:29292 - "POST /g3sb/api/nl/chat/stream HTTP/1.1" 200
2026-04-17 10:49:16 INFO [__main__] api_server.py:735 _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=13 preview='查看目前余额最高的账号名称' dialog_context_chars=0 last_turn_was_data_query=False
2026-04-17 10:49:19 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
2026-04-17 10:49:19 INFO [utils.dialog_classifier] dialog_classifier.py:261 classify_dialog() | [dialog] intent=text2sql (hybrid fast: query hint) preview='查看目前余额最高的账号名称'
2026-04-17 10:49:19 INFO [__main__] api_server.py:801 _chat_stream_events() | [GEN/API/stream] dialect=tsql top_k=20 dialog_context_chars=0 question_len=13 preview='查看目前余额最高的账号名称'
2026-04-17 10:49:22 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
2026-04-17 10:49:24 INFO [agents.orchestrator] orchestrator.py:827 generate() | [GEN] 问句已归一中文：查看余额最高的账号名称
2026-04-17 10:49:24 INFO [agents.orchestrator] orchestrator.py:840 generate() | [GEN] 开始生成SQL: question_chars=11 preview='查看余额最高的账号名称' dialog_context_chars=0
2026-04-17 10:49:24 INFO [agents.orchestrator] orchestrator.py:855 generate() | 尝试 #1
2026-04-17 10:49:24 INFO [schema.indexer] indexer.py:82 __init__() | [OK] 初始化SchemaIndexer(Chroma磁盘 path=data\embeddings\chroma): collection=schema_tables, count=2516
2026-04-17 10:49:24 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
2026-04-17 10:49:24 INFO [agents.orchestrator] orchestrator.py:188 _coarse_filter() | [Orchestrator] 开始向量检索: query_chars=11 query_preview='查看余额最高的账号名称'
2026-04-17 10:49:27 INFO [utils.embedding] embedding.py:163 _set_dim_from_vector() | [OK] Embedding 向量维度：1536
2026-04-17 10:49:27 INFO [schema.indexer] indexer.py:244 search() | Schema 向量检索: query_chars=11 命中=20（阈值=0.1）top=[('VSBFrontOfficeBalanceAccountCash', 0.7854), ('VSBRpt9009', 0.7824), ('BCAccountCash', 0.7824), ('VXVNSyncBalanceAccountCash', 0.7812), ('VCAccountOnlineCashWithdrawOrTransferredAmount', 0.781), ('VCAccountBalance', 0.7798), ('VXPhilipsB2BInterfaceAccountCashBalance', 0.779), ('VCBAccountCash', 0.7788), ('VSBAccountContractOnlineAvailableCashInAdvanceAmount', 0.7775), ('VCAccountDailyCreditLimit', 0.7765), ('VSBAyersFrontOfficeBalanceAccountCash', 0.776), ('VSBRpt0060', 0.7756), ('VSBRpt0055D_CIBalance', 0.7745), ('VSBRpt9008', 0.7745), ('VSBVNFrontOfficeMasterAccount', 0.7745)]
2026-04-17 10:49:27 INFO [agents.orchestrator] orchestrator.py:204 _coarse_filter() | [Orchestrator] 向量粗筛: 命中=20 张（阈值内），表名+分: [('VSBFrontOfficeBalanceAccountCash', 0.7854), ('VSBRpt9009', 0.7824), ('BCAccountCash', 0.7824), ('VXVNSyncBalanceAccountCash', 0.7812), ('VCAccountOnlineCashWithdrawOrTransferredAmount', 0.781), ('VCAccountBalance', 0.7798), ('VXPhilipsB2BInterfaceAccountCashBalance', 0.779), ('VCBAccountCash', 0.7788), ('VSBAccountContractOnlineAvailableCashInAdvanceAmount', 0.7775), ('VCAccountDailyCreditLimit', 0.7765), ('VSBAyersFrontOfficeBalanceAccountCash', 0.776), ('VSBRpt0060', 0.7756), ('VSBRpt0055D_CIBalance', 0.7745), ('VSBRpt9008', 0.7745), ('VSBVNFrontOfficeMasterAccount', 0.7745), ('VSBRpt0061', 0.7744), ('VSBRpt0055N_CIBalance', 0.7743), ('VCBAccountCashForBatchCashWithdrawal', 0.7739), ('VSBRPT0290I', 0.7737), ('VCBAccountSummary', 0.7736)]
2026-04-17 10:49:31 INFO [agents.orchestrator] orchestrator.py:258 _llm_select_tables() | LLM精筛选中表：['BCAccountCash', 'VCAccountBalance', 'VCBAccountCash'] | reasoning_chars=101 reasoning_preview='问题涉及查看余额，BCAccountCash存储账户现金余额信息，VCAccountBalance提供账户余额视图，VCBAccountCash是账户现金视图，这些表能够提供账户名称及其对应的余额信息。'
2026-04-17 10:49:31 INFO [agents.orchestrator] orchestrator.py:320 _prioritize_vc_user_accessible_function() | 已优先纳入目录视图 VCUserAccessibleFunction（置于选表前列），当前选表：['VCUserAccessibleFunction', 'BCAccountCash', 'VCAccountBalance', 'VCBAccountCash']
2026-04-17 10:49:31 INFO [agents.orchestrator] orchestrator.py:894 generate() | 选中表：['VCUserAccessibleFunction', 'BCAccountCash', 'VCAccountBalance', 'VCBAccountCash']，扩展后：['VCBAccountCash', 'BCAccountCash', 'VCAccountBalance', 'VCUserAccessibleFunction']
2026-04-17 10:49:32 INFO [utils.fewshot_selector] fewshot_selector.py:209 select_best_with_score() | [Few-shot] best_with_score: qid=Q17 score=0.8266 preview='哪些客户已超过其信用额度？'
2026-04-17 10:49:34 INFO [utils.fewshot_selector] fewshot_selector.py:357 _select_chroma() | Few-shot(Chroma)选择: 问题='查看余额最高的账号名称...' → 选中3个示例 (top_k=3, min_rating=7)
2026-04-17 10:49:34 INFO [agents.orchestrator] orchestrator.py:568 _generate_sql() | 已注入 3 个 few-shot 示例: qid=['Q17', 'Q27', 'Q23'] question_zh_preview=['哪些客户已超过其信用额度？', '列出所有超过3天的暂记账户分录。', '列出所有逾期未付保证金利息的账户。']
2026-04-17 10:49:37 INFO [agents.orchestrator] orchestrator.py:635 _generate_sql() | 生成的SQL（chars=178）:
SELECT
a.AccountID,
a.AccountName AS AccountName,
a.AvailableBalance,
a.MarketValue,
a.LedgerBalance
FROM VCAccountBalance a
ORDER BY a.AvailableBalance DESC;
2026-04-17 10:49:37 INFO [db.engine] engine.py:45 get_engine() | SQLAlchemy engine initialized from database_url
2026-04-17 10:49:37 INFO [db.dbhub_tools] dbhub_tools.py:627 _execute_sql() | _execute_sql 执行语句数=1 readonly=True max_rows=1
2026-04-17 10:49:38 INFO [agents.orchestrator] orchestrator.py:778 _validate_sql() | [validate] 程序+探针+LLM 汇总: valid=True err_count=0 warn_count=0 db_execution_status=1 sql_chars=178
2026-04-17 10:49:38 INFO [agents.orchestrator] orchestrator.py:956 generate() | [OK] SQL生成与验证通过（1次尝试）
2026-04-17 10:49:41 INFO [__main__] api_server.py:916 _chat_stream_events() | [API/stream] Text2SQL 完成: valid=True attempts=1 tables_used=['VCBAccountCash', 'BCAccountCash', 'VCAccountBalance', 'VCUserAccessibleFunction'] sql_chars=178 sql_head='SELECT\n a.AccountID,\n a.AccountName AS AccountName,\n a.AvailableBalance,\n a.MarketValue,\n a.LedgerBalance\nFROM VCAccountBalance a\nORDER BY a.AvailableBalance DESC;'
2026-04-17 10:53:01 INFO [uvicorn.access] httptools_impl.py:483 send() | 127.0.0.1:24658 - "POST /g3sb/api/nl/chat/stream HTTP/1.1" 200
2026-04-17 10:53:01 INFO [__main__] api_server.py:735 _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=23 preview="查询账户'M050013'持有的所有股票及数量" dialog_context_chars=0 last_turn_was_data_query=False
2026-04-17 10:53:04 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
2026-04-17 10:53:04 INFO [utils.dialog_classifier] dialog_classifier.py:261 classify_dialog() | [dialog] intent=text2sql (hybrid fast: query hint) preview="查询账户'M050013'持有的所有股票及数量"
2026-04-17 10:53:04 INFO [__main__] api_server.py:801 _chat_stream_events() | [GEN/API/stream] dialect=tsql top_k=20 dialog_context_chars=0 question_len=23 preview="查询账户'M050013'持有的所有股票及数量"
2026-04-17 10:53:07 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
2026-04-17 10:53:08 INFO [agents.orchestrator] orchestrator.py:827 generate() | [GEN] 问句已归一中文：查询账户'M050013'持有的所有股票及其数量
2026-04-17 10:53:08 INFO [agents.orchestrator] orchestrator.py:840 generate() | [GEN] 开始生成SQL: question_chars=24 preview="查询账户'M050013'持有的所有股票及其数量" dialog_context_chars=0
2026-04-17 10:53:08 INFO [agents.orchestrator] orchestrator.py:855 generate() | 尝试 #1
2026-04-17 10:53:09 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
2026-04-17 10:53:09 INFO [agents.orchestrator] orchestrator.py:188 _coarse_filter() | [Orchestrator] 开始向量检索: query_chars=24 query_preview="查询账户'M050013'持有的所有股票及其数量"
2026-04-17 10:53:10 INFO [schema.indexer] indexer.py:244 search() | Schema 向量检索: query_chars=24 命中=20（阈值=0.1）top=[('VSBHKRpt0695A', 0.8153), ('VSBHKRpt0365A', 0.8114), ('VSBHKRpt1330', 0.809), ('VSBHKRPT0156', 0.8061), ('VSBHKRpt0672', 0.8053), ('VSBHKRpt0390D', 0.8051), ('VSBHKRPT0590', 0.8046), ('VSBRpt0055U_AccountInformation', 0.8038), ('VSBHKRpt4000A', 0.8028), ('VSBHKRptMSTATInvestmentPortfolioNoHoldings', 0.8026), ('VSBHKRpt1150', 0.8022), ('VSBRpt0055M_AccountInformation', 0.8019), ('VSBRpt0055U_Stock', 0.8017), ('VSBRpt0302V_AccountInformation', 0.8017), ('TSBYellowFormShareAllotment', 0.8016)]
2026-04-17 10:53:10 INFO [agents.orchestrator] orchestrator.py:204 _coarse_filter() | [Orchestrator] 向量粗筛: 命中=20 张（阈值内），表名+分: [('VSBHKRpt0695A', 0.8153), ('VSBHKRpt0365A', 0.8114), ('VSBHKRpt1330', 0.809), ('VSBHKRPT0156', 0.8061), ('VSBHKRpt0672', 0.8053), ('VSBHKRpt0390D', 0.8051), ('VSBHKRPT0590', 0.8046), ('VSBRpt0055U_AccountInformation', 0.8038), ('VSBHKRpt4000A', 0.8028), ('VSBHKRptMSTATInvestmentPortfolioNoHoldings', 0.8026), ('VSBHKRpt1150', 0.8022), ('VSBRpt0055M_AccountInformation', 0.8019), ('VSBRpt0055U_Stock', 0.8017), ('VSBRpt0302V_AccountInformation', 0.8017), ('TSBYellowFormShareAllotment', 0.8016), ('VSBHKRpt0450B', 0.8012), ('VSBHKRpt0390', 0.8009), ('VSBRpt0060', 0.8006), ('TSBAccountEntitlement', 0.8006), ('VSBHKRPT0157', 0.8004)]
2026-04-17 10:53:14 INFO [agents.orchestrator] orchestrator.py:258 _llm_select_tables() | LLM精筛选中表：['VSBHKRpt0390D', 'VSBHKRpt0390', 'VSBHKRpt0672'] | reasoning_chars=119 reasoning_preview="用户查询账户'M050013'持有的所有股票及其数量，VSBHKRpt0390D和VSBHKRpt0390均为账户持仓相关表，包含账户及其持有的股票信息，VSBHKRpt0672提供账户的基本信息，三者可以通过账户ID关联，满足查询需求。"
2026-04-17 10:53:14 INFO [agents.orchestrator] orchestrator.py:320 _prioritize_vc_user_accessible_function() | 已优先纳入目录视图 VCUserAccessibleFunction（置于选表前列），当前选表：['VCUserAccessibleFunction', 'VSBHKRpt0390D', 'VSBHKRpt0390', 'VSBHKRpt0672']
2026-04-17 10:53:14 INFO [agents.orchestrator] orchestrator.py:894 generate() | 选中表：['VCUserAccessibleFunction', 'VSBHKRpt0390D', 'VSBHKRpt0390', 'VSBHKRpt0672']，扩展后：['VSBHKRpt0390D', 'VSBHKRpt0390', 'VSBHKRpt0672', 'VCUserAccessibleFunction']
2026-04-17 10:53:15 INFO [utils.fewshot_selector] fewshot_selector.py:209 select_best_with_score() | [Few-shot] best_with_score: qid=Q2 score=0.8459 preview='列出今日所有客户账户之间的股票转移记录。'
2026-04-17 10:53:16 INFO [utils.fewshot_selector] fewshot_selector.py:357 _select_chroma() | Few-shot(Chroma)选择: 问题='查询账户'M050013'持有的所有股票及其数量...' → 选中3个示例 (top_k=3, min_rating=7)
2026-04-17 10:53:16 INFO [agents.orchestrator] orchestrator.py:568 _generate_sql() | 已注入 3 个 few-shot 示例: qid=['Q2', 'Q32', 'Q40'] question_zh_preview=['列出今日所有客户账户之间的股票转移记录。', '各市场客户不同资产（如股票、债券、基金、虚拟资产）的总持仓是多少？', '列出今日执行的所有股票转移/移动。']
2026-04-17 10:53:18 INFO [agents.orchestrator] orchestrator.py:635 _generate_sql() | 生成的SQL（chars=169）:
SELECT
h.AccountID,
h.InstrumentID,
h.InstrumentName AS InstrumentSymbol,
h.HoldQuantity AS HoldingQty
FROM VSBHKRpt0390 h
WHERE h.AccountID = 'M050013';
2026-04-17 10:53:18 INFO [db.dbhub_tools] dbhub_tools.py:627 _execute_sql() | _execute_sql 执行语句数=1 readonly=True max_rows=1
2026-04-17 10:53:18 INFO [agents.orchestrator] orchestrator.py:778 _validate_sql() | [validate] 程序+探针+LLM 汇总: valid=True err_count=0 warn_count=0 db_execution_status=1 sql_chars=169
2026-04-17 10:53:18 INFO [agents.orchestrator] orchestrator.py:956 generate() | [OK] SQL生成与验证通过（1次尝试）
2026-04-17 10:53:20 INFO [__main__] api_server.py:916 _chat_stream_events() | [API/stream] Text2SQL 完成: valid=True attempts=1 tables_used=['VSBHKRpt0390D', 'VSBHKRpt0390', 'VSBHKRpt0672', 'VCUserAccessibleFunction'] sql_chars=169 sql_head="SELECT\n h.AccountID,\n h.InstrumentID,\n h.InstrumentName AS InstrumentSymbol,\n h.HoldQuantity AS HoldingQty\nFROM VSBHKRpt0390 h\nWHERE h.AccountID = 'M050013';"
2026-04-17 15:07:22 INFO [uvicorn.error] server.py:272 shutdown() | Shutting down
2026-04-17 15:07:23 INFO [uvicorn.error] server.py:102 _serve() | Finished server process [38600]
2026-04-17 15:07:23 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