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0.1.1 暂存
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0.1.1 暂存
2026-04-14 10:28:22 +08:00
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
用户输入�图分类：区分「自然语言查数 / Text2SQL�与「寒暄�致谢�元问题�等�适�直接生� SQL 的对�。
支�环境�� ``DIALOG_INTENT_CLASSIFIER``：
- ``rules``：仅用关键�与短语规则（无 LLM 调用）。
- ``hybrid``（默认）：明显查数�/寒暄/元问题走规则；其余交 LLM 判断（需调用方传入 ``llm_client``）。
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
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Optional[str]Úreply_suggestion)rrrÚ__annotations__rrrrrrs…Ø ÓØ[Ø&*Ð�mÔ*rruØ您好，我是业务库 Text2SQL 助手。
请用自然语言�述�查询或统计的内容（例如：查询�账户�用余��按�纪商汇总未结算交易笔数）。
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输入 quit 或 exit å�¯é€€å‡ºã€‚u?请输入具体的业务查询问题，或输入 quit 退出。uX(查|查询|查出|检索|统计|列出|汇总|求和|å¹³å�‡|分组|排åº�|排å��|显示|导出|筛选|过滤|多少|几个|几张|哪些|å� æ¯”|å�Œæ¯”|环比|ä½™é¢�|交易|账户|æŒ�仓|报表|结算|å�ˆçº¦|订å�•|æµ�æ°´|ç»�纪商|对手方|è¯�券|资金|query|select|list|show|count|sum|avg|how\s+many|statistics|\bfrom\b|\bwhere\b|\btable\b)>#õå—¨õå—¯õ好õè¡Œõ👋õ😀õ你好õå†�è§�õ哈哈õ哈喽õ嗯嗯õ在å�—õ多谢õ好的õ您好õæ„Ÿè°¢õ拜拜õ收到õ谢谢õ 下å�ˆå¥½õ 哈哈哈õ 在ä¸�在õ 早上好õ 晚上好õ 哈哈谢谢ú thank youÚhiÚokÚbyeÚheyÚthxÚokayÚhelloÚthanksÚgoodbyec#ó<K—|]}|j«–—Œy­w)N)Úcasefold)Ú.0Úps rÚ <genexpr>rC^sèø€ÐCÑ1B¨A˜1Ÿ:™:Ÿ<Ñ1Bùs‚u„(你是è°�|你是什么|你能(å�š|å¹²)什么|你会什么|怎么用|如何使用|使用说明|帮助|help\b|什么功能|干啥的)có„—tjd|xsd«j«}tjdd|«}|S)NÚNFKCÚz\s+Ú )Ú unicodedataÚ normalizeÚstripÚreÚsub)ÚtextÚts rÚ
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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0.1.1 暂存
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d|«y|S)NÚhybrid)ÚrulesrSz8[dialog] unknown DIALOG_INTENT_CLASSIFIER=%r, use hybrid)ÚosÚgetenvÚ_INTENT_CLASSIFIER_ENVrJÚlowerÚloggerÚwarning)Úms rÚ_intent_classifier_moder\qsL€Ü �‰Ô)Ó *Ò 6¨h×=Ñ=Ó?×EÑEÓG€AØÐ#Ñ#Ü�‰Ø FÈô
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0.1.1 暂存
2026-04-14 10:28:22 +08:00
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0.1.1 暂存
2026-04-14 10:28:22 +08:00
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
规则分类（与历�行为一致）：优先查数关键�；寒暄/元问题为 conversation；
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若上一轮为数�查询且�寒暄/元问题，则倾� text2sql。
©rz9[dialog] intent=text2sql (query/business hint) preview=%rNéxz6[dialog] intent=conversation (chitchat phrase) core=%rz7[dialog] intent=conversation (meta question) preview=%rz@[dialog] intent=text2sql (follow-up after data query) preview=%rz3[dialog] intent=text2sql (default rules) preview=%r)rOrr rÚ_EMPTY_INPUT_REPLYÚ_SQL_OR_QUERY_HINT_REÚsearchrYÚinforrQr@Ú_CHITCHAT_KEYSÚDEFAULT_CONVERSATION_REPLYÚ_META_QUESTION_RE)Ú user_textr^rNÚcores rÚ_classify_dialog_rulesrk{sA€ô �9Ó€AÙ Ü#Ü × %Ñ %Ô8Jô
Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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2026-04-16 10:53:10 +08:00
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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0.1.1 暂存
2026-04-14 10:28:22 +08:00
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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对用户一轮输入�分类。
Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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``DIALOG_INTENT_CLASSIFIER``：
Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
- ``rules``：仅规则。
- ``hybrid``：规则快速命中查数�/寒暄/元问题�返回；�则在有 ``llm_client`` 时用 LLM，
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失败或无客户端时回退规则。
Args:
user_text: 用户输入。
last_turn_was_data_query: 上一轮助手是�为数�查询（供规则与 LLM �考）。
0.1.1 暂存
2026-04-14 10:28:22 +08:00
dialog_context: 会�摘�，供 LLM �考（�选）。
llm_client: DeepSeek 客户端；hybrid 下 LLM 分支需�。
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rTr]r`z=[dialog] intent=text2sql (hybrid fast: query hint) preview=%rNraz<[dialog] intent=conversation (hybrid fast: chitchat) core=%rz;[dialog] intent=conversation (hybrid fast: meta) preview=%r)r^r…z.[dialog] LLM intent failed, fallback rules: %s)r\rkrOrr rrbrcrdrYrerrQr@rfrgrhr‹Ú ExceptionrZ)rir^r…rŒÚmoderNrjÚes rÚclassify_dialogr‘áso€ô* #Ó $€Dà ˆw‚Ü%Ø Ð0Hô
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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