136 lines
19 KiB
Plaintext
136 lines
19 KiB
Plaintext
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
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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
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2026-04-17 10:48:55 INFO [__main__] api_server.py:1299 <module>() | 启动服务: http://0.0.0.0:8041
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2026-04-17 10:48:55 INFO [__main__] api_server.py:1300 <module>() | API文档: http://0.0.0.0:8041/docs
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2026-04-17 10:48:55 INFO [uvicorn.error] server.py:92 _serve() | Started server process [38600]
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2026-04-17 10:48:55 INFO [uvicorn.error] on.py:48 startup() | Waiting for application startup.
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2026-04-17 10:48:55 INFO [__main__] api_server.py:969 lifespan() | ============================================================
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2026-04-17 10:48:55 INFO [__main__] api_server.py:970 lifespan() | Text2SQL API Server 启动中...
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2026-04-17 10:48:55 INFO [__main__] api_server.py:971 lifespan() | ============================================================
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2026-04-17 10:48:55 INFO [main] main.py:126 setup_environment() | [OK] 环境检查通过
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2026-04-17 10:48:55 INFO [main] main.py:127 setup_environment() | - Schema: data\schemas\G3SB_MCDataDictionary_table_structure.json
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2026-04-17 10:48:55 INFO [main] main.py:128 setup_environment() | - LLM: openai
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2026-04-17 10:48:55 INFO [main] main.py:154 load_schema() | 加载Schema: ./data/schemas/G3SB_MCDataDictionary_table_structure.json
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2026-04-17 10:48:55 INFO [main] main.py:156 load_schema() | 表注释(meta): ./data/schemas/G3SB_MCDataDictionary_table_meta.json
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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
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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
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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
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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
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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
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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）
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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）
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2026-04-17 10:49:03 INFO [agents.orchestrator] orchestrator.py:116 __init__() | Few-shot已启用: top_k=3, min_rating=7
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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
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2026-04-17 10:49:03 INFO [__main__] api_server.py:133 get_orchestrator() | [OK] Orchestrator 初始化完成
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2026-04-17 10:49:03 INFO [__main__] api_server.py:975 lifespan() | [OK] 服务已就绪
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2026-04-17 10:49:03 INFO [uvicorn.error] on.py:62 startup() | Application startup complete.
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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)
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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
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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
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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
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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'
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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'
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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
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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
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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
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2026-04-17 10:49:24 INFO [agents.orchestrator] orchestrator.py:855 generate() | 尝试 #1
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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
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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
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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'
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2026-04-17 10:49:27 INFO [utils.embedding] embedding.py:163 _set_dim_from_vector() | [OK] Embedding 向量维度：1536
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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)]
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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)]
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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。'
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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']
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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']
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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？'
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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)
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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。']
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2026-04-17 10:49:37 INFO [agents.orchestrator] orchestrator.py:635 _generate_sql() | 生成的SQL（chars=178）:
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SELECT
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a.AccountID,
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a.AccountName AS AccountName,
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a.AvailableBalance,
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a.MarketValue,
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a.LedgerBalance
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FROM VCAccountBalance a
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ORDER BY a.AvailableBalance DESC;
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2026-04-17 10:49:37 INFO [db.engine] engine.py:45 get_engine() | SQLAlchemy engine initialized from database_url
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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
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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
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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）
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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;'
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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
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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
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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
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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"
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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"
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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
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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
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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
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2026-04-17 10:53:08 INFO [agents.orchestrator] orchestrator.py:855 generate() | 尝试 #1
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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
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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"
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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)]
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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)]
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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。"
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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']
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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']
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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。'
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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)
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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。']
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2026-04-17 10:53:18 INFO [agents.orchestrator] orchestrator.py:635 _generate_sql() | 生成的SQL（chars=169）:
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SELECT
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h.AccountID,
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h.InstrumentID,
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h.InstrumentName AS InstrumentSymbol,
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h.HoldQuantity AS HoldingQty
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FROM VSBHKRpt0390 h
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WHERE h.AccountID = 'M050013';
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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
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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
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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）
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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';"
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2026-04-17 15:07:22 INFO [uvicorn.error] server.py:272 shutdown() | Shutting down
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2026-04-17 15:07:23 INFO [uvicorn.error] server.py:102 _serve() | Finished server process [38600]
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2026-04-17 15:07:23 ERROR [uvicorn.error] on.py:134 send() | Traceback (most recent call last):
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File "D:\conda\Lib\asyncio\runners.py", line 194, in run
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return runner.run(main)
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^^^^^^^^^^^^^^^^
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File "D:\conda\Lib\asyncio\runners.py", line 118, in run
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return self._loop.run_until_complete(task)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "D:\conda\Lib\asyncio\base_events.py", line 674, in run_until_complete
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self.run_forever()
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File "D:\conda\Lib\asyncio\windows_events.py", line 322, in run_forever
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super().run_forever()
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File "D:\conda\Lib\asyncio\base_events.py", line 641, in run_forever
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self._run_once()
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File "D:\conda\Lib\asyncio\base_events.py", line 1986, in _run_once
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handle._run()
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File "D:\conda\Lib\asyncio\events.py", line 88, in _run
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self._context.run(self._callback, *self._args)
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File "C:\Users\24019\AppData\Roaming\Python\Python312\site-packages\uvicorn\server.py", line 78, in serve
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with self.capture_signals():
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^^^^^^^^^^^^^^^^^^^^^^
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File "D:\conda\Lib\contextlib.py", line 144, in __exit__
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next(self.gen)
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File "C:\Users\24019\AppData\Roaming\Python\Python312\site-packages\uvicorn\server.py", line 339, in capture_signals
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signal.raise_signal(captured_signal)
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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
|
||
|