Merge branch 'main' into Agent_Hub_Dev

docs/getting_started/faq/deploy/deploy_faq.md

@@ -103,4 +103,5 @@ pip install --use-pep517 fschat
 delete files in `DB-GPT/pilot/meta_data/alembic/versions/` and reboot.
 ```commandline
 rm -rf DB-GPT/pilot/meta_data/alembic/versions/*
+rm -rf DB-GPT/pilot/meta_data/alembic/dbgpt.db
 ```

docs/getting_started/faq/kbqa/kbqa_faq.md

@@ -67,4 +67,27 @@ build Mysql KBQA system database schema.
 
 ```bash
 $ mysql -h127.0.0.1 -uroot -paa12345678 < ./assets/schema/knowledge_management.sql
+```
+
+
+##### Q6:when pull from 0.4.0, I found historical knowledge document disappeared
+
+In version 0.4.0, the metadata module of the DB-GPT application has been refactored. All metadata tables will now be automatically saved in the 'dbgpt' database, based on the database type specified in the .env file. If you would like to retain the existing data, it is recommended to use a data migration tool to transfer the database table information to the 'dbgpt' database.
+
+```{tip}
+old database:knowledge_management;
+new database:dbgpt;
+```
+```commandline
+### SQLite database (Current default database)
+#LOCAL_DB_PATH=data/default_sqlite.db
+#LOCAL_DB_TYPE=sqlite
+
+### Mysql database
+LOCAL_DB_TYPE=mysql
+LOCAL_DB_USER=root
+LOCAL_DB_PASSWORD=aa12345678
+LOCAL_DB_HOST=127.0.0.1
+LOCAL_DB_PORT=3306
+
 ```

docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/kbqa/kbqa_faq.po

@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-08-18 14:11+0800\n"
+"POT-Creation-Date: 2023-10-20 14:49+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -20,34 +20,34 @@ msgstr ""
 "Generated-By: Babel 2.12.1\n"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:1
-#: 348b327c869643c8baaafaddb9e7e6d4
+#: e95c136d802f486082c47a8c017eb725
 msgid "KBQA FAQ"
 msgstr "KBQA FAQ"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:4
-#: b2d05eeaec0b445ab3283e0e4eee028a
+#: f19c96b7b1ec4bc7ad8c7c26582d7e59
 msgid "Q1: text2vec-large-chinese not found"
 msgstr "Q1: text2vec-large-chinese not found"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:6
-#: d64bad7091de4b439ab80cd754b3e68f
+#: 24a0603be39d4418909c27f9a53b51e2
 msgid ""
 "make sure you have download text2vec-large-chinese embedding model in "
 "right way"
 msgstr "确认下载text2vec-large-chinese模型姿势以及路径正确"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:18
-#: 15a4987b681241cfa6dc4fc08dbebce3
+#: 356008dd415f4bdd9b0927d8ee073548
 msgid "Q2:How to change Vector DB Type in DB-GPT."
 msgstr "怎么修改向量数据库类型"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:20
-#: 6566d91820334c8fac964fe7e012acc7
+#: 42013bfb02624010b668bd244b33c977
 msgid "Update .env file and set VECTOR_STORE_TYPE."
 msgstr "怎样在.env文件设置VECTOR_STORE_TYPE"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:22
-#: 124dfe106c4b4afeadf0f2bc4b146f50
+#: 72b2bae15fea4e0d927bda68a8d0861d
 msgid ""
 "DB-GPT currently support Chroma(Default), Milvus(>2.1), Weaviate vector "
 "database. If you want to change vector db, Update your .env, set your "
@@ -55,57 +55,80 @@ msgid ""
 "Milvus(>2.1), if you set Milvus, please set MILVUS_URL and MILVUS_PORT) "
 "If you want to support more vector db, you can integrate yourself.[how to"
 " integrate](https://db-gpt.readthedocs.io/en/latest/modules/vector.html)"
-msgstr "DB-GPT当前支持向量数据库有Chroma(Default), Milvus(>2.1), Weaviate. 可以在在.env文件设置VECTOR_STORE_TYP，如果你想支持更多向量数据库， 参考[how to"
-" integrate](https://db-gpt.readthedocs.io/en/latest/modules/vector.html)"
-
+msgstr ""
+"DB-GPT当前支持向量数据库有Chroma(Default), Milvus(>2.1), Weaviate. "
+"可以在在.env文件设置VECTOR_STORE_TYP，如果你想支持更多向量数据库， 参考[how to integrate](https"
+"://db-gpt.readthedocs.io/en/latest/modules/vector.html)"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:38
-#: 5da7eb1fda5d43268eda0fab9d387dbb
+#: 0a12e3a5319c4a86a1db68d615d6fb8e
 msgid "Q3:When I use vicuna-13b, found some illegal character like this."
 msgstr "当使用vicuna系列模型时出现乱码。"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:43
-#: 80f9785ca43f4f8a9475556bffab28a7
+#: f89ffbf4697a4ccdb8030834c52b0473
 msgid ""
 "Set KNOWLEDGE_SEARCH_TOP_SIZE smaller or set KNOWLEDGE_CHUNK_SIZE "
 "smaller, and reboot server."
 msgstr "通过在.env文件将KNOWLEDGE_SEARCH_TOP_SIZE设置更小点或者在文档界面点击参数设置，将topk设置更小点"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:45
-#: 7627f9349fbb40968537866075e53541
+#: fc837488bcc7432a92b70126e80e75d7
 msgid ""
 "Q4:space add error (pymysql.err.OperationalError) (1054, \"Unknown column"
 " 'knowledge_space.context' in 'field list'\")"
-msgstr "space add error (pymysql.err.OperationalError) (1054, \"Unknown column"
-" 'knowledge_space.context' in 'field list'\")"
+msgstr ""
+"space add error (pymysql.err.OperationalError) (1054, \"Unknown column "
+"'knowledge_space.context' in 'field list'\")"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:47
-#: e4c8bc526f1744ca880fd0f5faaa18c6
+#: 30c186bae2c3489eb18c18768c11c302
 msgid "1.shutdown dbgpt_server(ctrl c)"
 msgstr "1.终止 dbgpt_server(ctrl c)"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:49
-#: 25762770ad7b4e52aa60c1b8a274331b
+#: 9cac5688ddb14c63905cc86e77d4567e
 msgid "2.add column context for table knowledge_space"
 msgstr "2.新增列 `context` for table knowledge_space"
 
-#: ../../getting_started/faq/kbqa/kbqa_faq.md:53
-#: b025ea011b704eaab5413514a00ada4a
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:55
+#: b32219bc1c6246108f606952d8ef0132
 msgid "3.execute sql ddl"
 msgstr "3.执行ddl"
 
-#: ../../getting_started/faq/kbqa/kbqa_faq.md:58
-#: 2c25d510b7cc4386a962be130232f39c
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:62
+#: ebfd196350994c44841d5766f776905c
 msgid "4.restart dbgpt serve"
 msgstr "4.重启dbgpt server"
 
-#: ../../getting_started/faq/kbqa/kbqa_faq.md:60
-#: 36aedd2404e84caf90fa6565fc05ee1f
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:64
+#: cfa083226efd4980a57ff15e86bb8480
 msgid "Q5:Use Mysql, how to use DB-GPT KBQA"
 msgstr "Q5:当使用 Mysql数据库时, 使用DB-GPT怎么初始化 KBQA service database schema"
 
-#: ../../getting_started/faq/kbqa/kbqa_faq.md:61
-#: bb01d8d145f64038bbacde1f05e69be1
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:66
+#: 95098205d36c4ca79ad9b1b0f9b2985a
 msgid "build Mysql KBQA system database schema."
 msgstr "构建Mysql KBQA system database schema"
 
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:73
+#: efc87678042d48b38b57f700d9ff74e5
+msgid "Q6:when pull from 0.4.0, I found historical knowledge document disappeared"
+msgstr "当从0.4.0版本拉取代码后，历史知识库问答信息没了"
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:75
+#: 975eaff1a20a40b5b5ee18d6c6ddb9c1
+msgid ""
+"In version 0.4.0, the metadata module of the DB-GPT application has been "
+"refactored. All metadata tables will now be automatically saved in the "
+"'dbgpt' database, based on the database type specified in the .env file. "
+"If you would like to retain the existing data, it is recommended to use a"
+" data migration tool to transfer the database table information to the "
+"'dbgpt' database."
+msgstr "v0.4.0 重构了DB-GPT应用的数据库元数据模块，所有的元数据库表都会自动保存在.env文件设置的数据库类型的`dbgpt`数据库中，如果想沿用以前的数据，建议使用数据迁移工具将数据库表信息挪到dbgpt数据库中。"
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:78
+#: 815e44fef54f4807a2cf1e8d64b73a70
+msgid "old database:knowledge_management; new database:dbgpt;"
+msgstr ""
+

pilot/connections/rdbms/base.py

@@ -349,7 +349,7 @@ class RDBMSDatabase(BaseConnect):
     def run(self, command: str, fetch: str = "all") -> List:
         """Execute a SQL command and return a string representing the results."""
         print("SQL:" + command)
-        if not command or len(command) <0:
+        if not command or len(command) < 0:
             return []
         parsed, ttype, sql_type, table_name = self.__sql_parse(command)
         if ttype == sqlparse.tokens.DML:

pilot/server/static/_next/static/O5FOClC-bCYrNf6P8Va8Z/_buildManifest.js

@@ -1 +0,0 @@
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pilot/server/static/_next/static/chunks/pages/knowledge/[knowledgeName]/[id]-288d3a43e60ca611.js

@@ -1,4 +1,4 @@
 (self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[670],{80882:function(e,t,r){"use strict";r.d(t,{Z:function(){return i}});var n=r(87462),l=r(67294),o={icon:{tag:"svg",attrs:{viewBox:"64 64 896 896",focusable:"false"},children:[{tag:"path",attrs:{d:"M884 256h-75c-5.1 0-9.9 2.5-12.9 6.6L512 654.2 227.9 262.6c-3-4.1-7.8-6.6-12.9-6.6h-75c-6.5 0-10.3 7.4-6.5 12.7l352.6 486.1c12.8 17.6 39 17.6 51.7 0l352.6-486.1c3.9-5.3.1-12.7-6.4-12.7z"}}]},name:"down",theme:"outlined"},a=r(84089),i=l.forwardRef(function(e,t){return l.createElement(a.Z,(0,n.Z)({},e,{ref:t,icon:o}))})},54068:function(e,t,r){(window.__NEXT_P=window.__NEXT_P||[]).push(["/knowledge/[knowledgeName]/[id]",function(){return r(21543)}])},21543:function(e,t,r){"use strict";r.r(t),r.d(t,{default:function(){return X}});var n=r(85893),l=r(67294),o=r(11163),a=r(94184),i=r.n(a),s=r(50344),c=r(64217),u=r(96159),p=r(53124),m=r(80882),d=r(1142);let f=e=>{let{children:t}=e,{getPrefixCls:r}=l.useContext(p.E_),n=r("breadcrumb");return l.createElement("li",{className:`${n}-separator`,"aria-hidden":"true"},""===t?t:t||"/")};f.__ANT_BREADCRUMB_SEPARATOR=!0;var b=function(e,t){var r={};for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&0>t.indexOf(n)&&(r[n]=e[n]);if(null!=e&&"function"==typeof Object.getOwnPropertySymbols)for(var l=0,n=Object.getOwnPropertySymbols(e);l<n.length;l++)0>t.indexOf(n[l])&&Object.prototype.propertyIsEnumerable.call(e,n[l])&&(r[n[l]]=e[n[l]]);return r};function g(e,t,r,n){if(null==r)return null;let{className:o,onClick:a}=t,s=b(t,["className","onClick"]),u=Object.assign(Object.assign({},(0,c.Z)(s,{data:!0,aria:!0})),{onClick:a});return void 0!==n?l.createElement("a",Object.assign({},u,{className:i()(`${e}-link`,o),href:n}),r):l.createElement("span",Object.assign({},u,{className:i()(`${e}-link`,o)}),r)}var O=function(e,t){var r={};for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&0>t.indexOf(n)&&(r[n]=e[n]);if(null!=e&&"function"==typeof Object.getOwnPropertySymbols)for(var l=0,n=Object.getOwnPropertySymbols(e);l<n.length;l++)0>t.indexOf(n[l])&&Object.prototype.propertyIsEnumerable.call(e,n[l])&&(r[n[l]]=e[n[l]]);return r};let y=e=>{let{prefixCls:t,separator:r="/",children:n,menu:o,overlay:a,dropdownProps:i,href:s}=e,c=(e=>{if(o||a){let r=Object.assign({},i);if(o){let e=o||{},{items:t}=e,n=O(e,["items"]);r.menu=Object.assign(Object.assign({},n),{items:null==t?void 0:t.map((e,t)=>{var{key:r,title:n,label:o,path:a}=e,i=O(e,["key","title","label","path"]);let c=null!=o?o:n;return a&&(c=l.createElement("a",{href:`${s}${a}`},c)),Object.assign(Object.assign({},i),{key:null!=r?r:t,label:c})})})}else a&&(r.overlay=a);return l.createElement(d.Z,Object.assign({placement:"bottom"},r),l.createElement("span",{className:`${t}-overlay-link`},e,l.createElement(m.Z,null)))}return e})(n);return null!=c?l.createElement(l.Fragment,null,l.createElement("li",null,c),r&&l.createElement(f,null,r)):null},h=e=>{let{prefixCls:t,children:r,href:n}=e,o=O(e,["prefixCls","children","href"]),{getPrefixCls:a}=l.useContext(p.E_),i=a("breadcrumb",t);return l.createElement(y,Object.assign({},o,{prefixCls:i}),g(i,o,r,n))};h.__ANT_BREADCRUMB_ITEM=!0;var v=r(14747),j=r(67968),x=r(45503);let E=e=>{let{componentCls:t,iconCls:r}=e;return{[t]:Object.assign(Object.assign({},(0,v.Wf)(e)),{color:e.itemColor,fontSize:e.fontSize,[r]:{fontSize:e.iconFontSize},ol:{display:"flex",flexWrap:"wrap",margin:0,padding:0,listStyle:"none"},a:Object.assign({color:e.linkColor,transition:`color ${e.motionDurationMid}`,padding:`0 ${e.paddingXXS}px`,borderRadius:e.borderRadiusSM,height:e.lineHeight*e.fontSize,display:"inline-block",marginInline:-e.marginXXS,"&:hover":{color:e.linkHoverColor,backgroundColor:e.colorBgTextHover}},(0,v.Qy)(e)),"li:last-child":{color:e.lastItemColor},[`${t}-separator`]:{marginInline:e.separatorMargin,color:e.separatorColor},[`${t}-link`]:{[`
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pilot/server/static/_next/static/ip766cXopjZ_vl18rrSLK/_buildManifest.js

@@ -0,0 +1 @@
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