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257 Commits

Author SHA1 Message Date
Archer
11848b8f44 v4.4.5-3 (#357) 2023-09-26 21:17:13 +08:00
epoh
a11e0bd9c3 Update chatglm2.md (#354) 2023-09-26 15:06:38 +08:00
Archer
f6552d0d4f v4.4.5-2 (#355) 2023-09-26 14:31:37 +08:00
epoh
38d4db5d5f Rename requirement.txt to requirements.txt (#352) 2023-09-26 09:38:14 +08:00
Archer
63cd379682 Add share link hook (#351) 2023-09-25 23:12:42 +08:00
Archer
9136c9306a Add OpenAPI docs;Correct the glm document (#346) 2023-09-25 14:28:44 +08:00
Byte Sound
c9db9f33ea Update intro.md (#348)
错别字,市区改为时区
2023-09-25 13:33:30 +08:00
Archer
3d7178d06f monorepo packages (#344) 2023-09-24 18:02:09 +08:00
Archer
a4ff5a3f73 perf: api key (#342) 2023-09-23 20:28:03 +08:00
Archer
814c5b3d3c Add bill of training and rate of file upload (#339) 2023-09-21 21:02:44 +08:00
Chen X
e7e0677291 Docs:add-workflow-case-全能助手 (#334) 2023-09-21 15:57:42 +08:00
Archer
823f4b7ad1 Optimize the structure and naming of projects (#335) 2023-09-21 14:49:56 +08:00
Carson Yang
a3c77480f7 Add action for translating Non-English issues content to English (#333)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-21 14:19:54 +08:00
Archer
e367265dbb feat: function call prompt version (#331) 2023-09-21 12:27:48 +08:00
Archer
7e0deb29e0 Add SSE controller; fix share page login failed (#330) 2023-09-20 16:34:32 +08:00
Archer
0d94db4331 fix: ts and default dataset (#329) 2023-09-20 11:43:49 +08:00
Carson Yang
177482b33a Docs: fix code block highlight (#328)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-20 11:43:35 +08:00
Archer
63b183a9fe fix: mark modal cannot select folder (#327) 2023-09-20 11:26:17 +08:00
Carson Yang
858117f8c0 Docs: update font to LXGW WenKai (#325)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-19 21:22:04 +08:00
Archer
ac4355d2e1 Add modal to show completion response data (#324) 2023-09-19 20:31:45 +08:00
Archer
ce7da2db66 Optimize chat reponse data (#322) 2023-09-19 16:10:30 +08:00
Archer
0a4a1def1e fix: connected error (#318) 2023-09-19 07:54:50 +08:00
Archer
35f4deca76 Revert "Feature: 高级编排自动布局 (#314)" (#319)
This reverts commit ba1451a0e9.
2023-09-18 23:44:44 +08:00
jaden
ba1451a0e9 Feature: 高级编排自动布局 (#314)
* feat: adFlow auto layout

* chore: delete file and build pnpm lock file
2023-09-18 23:39:19 +08:00
Archer
40d69e6e20 version (#317) 2023-09-18 21:56:38 +08:00
Sr
b8ba947ba8 feat: Added defaultOpen Attribute for iframe (#302)
* feat: Added defaultOpen Attribute for iframe

This commit introduces a new attribute `defaultOpen` for the iframe created in `iframe.js`. The `defaultOpen` attribute allows the iframe to be visible by default when the page loads. This new feature enhances the user experience by providing an option to display the chatbot window immediately after the page is loaded, without requiring user interaction.

* Update iframe.js

code standard
2023-09-18 21:27:08 +08:00
Archer
06be57815e v4.4.3 (#316) 2023-09-18 21:26:42 +08:00
Carson Yang
81e37a5736 Update architecture diagram (#315)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-18 21:26:15 +08:00
Archer
b8ea546b3f v4.2.2 (#312) 2023-09-18 13:37:25 +08:00
Carson Yang
0bb31b985d Docs: update style (#310)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-17 15:06:25 +08:00
Carson Yang
453824260f Docs: fix typo (#307)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-15 22:44:04 +08:00
hehan
a8fdffc3e9 Docs: intergate feishu (#305) 2023-09-15 14:32:43 +08:00
Carson Yang
24164d9454 Update deploy-docs-preview workflow (#304)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-15 13:43:36 +08:00
Archer
4365a94ea9 System optimize (#303) 2023-09-15 10:21:46 +08:00
Carson Yang
7c1ec04380 Docs: add github badge (#301)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-14 17:36:51 +08:00
Archer
09b6365321 perf: action cache (#300) 2023-09-13 22:17:55 +08:00
Archer
eb2e383cc7 perf: document icon and language select (#299) 2023-09-13 19:54:29 +08:00
Archer
ae4c479f37 file name (#297) 2023-09-13 18:23:55 +08:00
Archer
6a996272da fix: share link quote (#296) 2023-09-13 18:15:22 +08:00
Carson Yang
1bf76ebe7a Docs: add limiting responsibility (#295)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-13 17:00:46 +08:00
Archer
a19afca148 v4.4.1 (#294)
* move file

* perf: dataset file manage

* v441 description

* fix: qa csv update file

* feat: rename file

* frontend show system-version
2023-09-13 17:00:17 +08:00
Carson Yang
be3b680bc6 Docs: add community (#293)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-13 13:55:50 +08:00
Carson Yang
31dbcfde9f Docs: update cdn (#291)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-13 09:29:17 +08:00
Archer
6d438aafdf google login and power share link (#292) 2023-09-13 08:49:22 +08:00
Carson Yang
1aaafcf631 Docs: update weight (#290)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-12 22:36:34 +08:00
Carson Yang
7521bce77e Docs: update cdn (#289)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-12 21:33:12 +08:00
Carson Yang
c8dee29dc4 Docs: add pricing doc (#287)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-12 20:06:09 +08:00
Carson Yang
8f953d1fc4 Update README.md (#283)
Add demo video

Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-12 12:46:29 +08:00
Carson Yang
970b62be25 Docs: enable ‘Edit this page’ (#280)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-11 23:59:14 +08:00
Carson Yang
b2b3aa651d Docs: add details shortcode (#279)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-11 20:48:14 +08:00
Archer
b0e7d25464 docs weight (#278) 2023-09-11 18:36:43 +08:00
Archer
b46048609c feat: move dataset (#277) 2023-09-11 18:23:51 +08:00
Archer
ae2887e956 fix: file_id undefined bug (#275) 2023-09-11 10:15:52 +08:00
Archer
7917766024 Dataset folder manager (#274)
* feat: retry send

* perf: qa default value

* feat: dataset folder

* feat: kb folder delete and path

* fix: ts

* perf: script load

* feat: fileCard and dataCard

* feat: search file

* feat: max token

* feat: select dataset

* fix: preview chunk

* perf: source update

* export data limit file_id

* docs

* fix: export limit
2023-09-10 16:37:32 +08:00
不做了睡大觉
a1a63260dd 更新镜像通道 (#272)
* 更新镜像

* 更新镜像信息

* 更新镜像信息
2023-09-08 18:13:37 +08:00
Archer
6f2d556a87 demo (#266) 2023-09-06 18:56:59 +08:00
Carson Yang
565f9c8113 Docs: fix typo (#265)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-06 14:29:49 +08:00
Carson Yang
975e011e03 Docs: update table style (#264)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-06 13:54:23 +08:00
Carson Yang
19ce6f66ca Docs: fix typo (#263)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-06 13:39:47 +08:00
cuisongliu
da6e26f95c build(main): add docs for ci (#261)
Signed-off-by: cuisongliu <cuisongliu@qq.com>
2023-09-06 12:06:51 +08:00
archer
71abe08f05 fix: onwechat yml 2023-09-06 10:46:55 +08:00
Carson Yang
45ba5e1e01 Docs: optimize codeblock (#259)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-06 09:53:37 +08:00
Carson Yang
139d0be52b Docs: fix favicon (#258)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-05 21:28:13 +08:00
Carson Yang
1ba3d72a8a Update docs: change image width (#256)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-09-05 20:51:50 +08:00
archer
cd455b2a79 prompt docs 2023-09-05 20:22:22 +08:00
archer
fa3f3e6264 limit prompt template 2023-09-05 18:29:18 +08:00
archer
9bf5a3ec76 m3e doc 2023-09-05 18:29:15 +08:00
qing hua
95389e31f7 修改了一些错误 (#254)
* Update sse.ts

解决chatglm2控制台输出一半不输出的问题

* 解决知识库相似度搜索结果超过1

* Update sse.ts

---------

Co-authored-by: Archer <545436317@qq.com>
2023-09-05 18:28:59 +08:00
archer
ea65d9b34b onwechat demo 2023-09-05 14:31:04 +08:00
archer
2dd2976efa perf: dev doc 2023-09-05 11:47:04 +08:00
archer
64fde42c87 perf: default lang 2023-09-05 11:44:31 +08:00
archer
7a926b7086 user timezone 2023-09-05 11:30:52 +08:00
archer
562fd2692d issue template 2023-09-04 23:44:08 +08:00
archer
935287a95a doc favicon 2023-09-04 19:45:24 +08:00
archer
bd419a22f4 adapt echarts 2023-09-04 19:25:28 +08:00
不做了睡大觉
32f482b232 增加对echarts图表的支持 (#249)
* 增加对echarts图表的支持

* 增加对echarts的支持
2023-09-04 18:17:39 +08:00
archer
5d596bd3d5 favicon html 2023-09-04 18:16:29 +08:00
archer
ae88d79d6f update bash 2023-09-04 18:03:20 +08:00
archer
1207e3e566 update bash 2023-09-04 17:51:56 +08:00
archer
3449024678 feat: labBot demo 2023-09-04 17:02:21 +08:00
archer
8dba2c39e1 fix: empty kb 2023-09-04 15:47:01 +08:00
archer
94c53804ce fix: quick question and variable 2023-09-04 14:45:01 +08:00
archer
a1bcd798e1 image name 2023-09-04 14:31:03 +08:00
archer
6d51b3babe README 2023-09-04 11:37:46 +08:00
archer
a5fe671ffe perf: timeout 2023-09-04 11:32:49 +08:00
archer
44e772f0fd feat: file relate kb 2023-09-04 10:51:57 +08:00
archer
a3c6d6800b fix: file id 2023-09-03 22:59:11 +08:00
archer
19b1ff5a8d version docs 2023-09-03 22:52:17 +08:00
archer
8d55587cf4 version docs 2023-09-03 22:43:24 +08:00
archer
a754ceaf3b dataset save raw file 2023-09-03 22:39:09 +08:00
archer
086ea83fac docs 2023-09-03 19:06:12 +08:00
archer
1ace8fb9a3 error track 2023-09-03 18:26:36 +08:00
archer
e0b23a26f2 feat: error track, app scroll 2023-09-03 17:43:15 +08:00
archer
7c16d08ec0 feat: crud file 2023-09-03 17:43:14 +08:00
archer
5157e62fed feat: gridfs save file 2023-09-03 17:43:13 +08:00
archer
1fe2c49204 fastgpt char 2023-09-02 00:28:08 +08:00
archer
b9b50a0f5a README 2023-09-01 23:57:58 +08:00
archer
23cc2f81e9 perf: code 2023-09-01 11:47:06 +08:00
archer
68cdf50cb6 perf: config home page 2023-09-01 10:22:31 +08:00
archer
2ae8d43216 fix: reg failed 2023-08-31 20:06:49 +08:00
archer
0ea464f30f docs 2023-08-31 19:04:56 +08:00
archer
7cb035ba24 docs 2023-08-31 18:54:41 +08:00
archer
7231a847f7 fix: variable 2023-08-31 18:46:48 +08:00
archer
4f0f950dd4 docs 2023-08-31 18:43:10 +08:00
archer
c1f4785392 docs 2023-08-31 18:16:24 +08:00
archer
b22c878cf9 fix: variable input and update chat time 2023-08-31 18:09:33 +08:00
archer
3420f677b6 env template 2023-08-31 18:09:32 +08:00
不做了睡大觉
baee8cfe82 私有化模型对接oneapi教程+镜像更新 (#237)
* chatglm2-m3e对接教程

* chatglm2docker部署+对接Oneapi

* Update m3e.md
2023-08-31 17:58:48 +08:00
archer
0b0570fa54 perf: mark icon show 2023-08-30 14:31:46 +08:00
gaord
299409aa7b add python requirement.txt for running GLM2 model (#226)
Signed-off-by: Ben Gao <bengao168@msn.com>
2023-08-30 08:18:03 +08:00
archer
5284312eb3 chat default model 2023-08-29 18:22:45 +08:00
archer
86a0e7ce23 perf: guide modules 2023-08-29 17:59:24 +08:00
archer
e0de04dddb perf: open push data api 2023-08-29 11:07:25 +08:00
archer
19d7edb585 readme 2023-08-28 22:09:42 +08:00
archer
fbb75c97d0 docs 2023-08-28 21:59:25 +08:00
archer
7e9cac3478 feat: config login tip 2023-08-28 21:43:15 +08:00
archer
be937956af perf: config home title 2023-08-28 21:36:37 +08:00
archer
c5c3826714 perf: vector over range error 2023-08-28 15:51:28 +08:00
archer
42fec3a95c perf: git login 2023-08-28 15:30:18 +08:00
archer
64b9367ca1 perf: quote output prompt 2023-08-28 13:47:33 +08:00
Archer
5fcdf28c5c user feedback and admin mark (#228)
* fix: csv empty data

* feat: user feedback and mark answer

* version intro

* perf: chat logs sort
2023-08-27 23:12:06 +08:00
archer
2556c19a9a issue template 2023-08-27 01:18:33 +08:00
Archer
8fd21ad5a7 Update issue templates 2023-08-27 01:13:13 +08:00
archer
efebcd6f1b docs images 2023-08-27 00:27:48 +08:00
Carson Yang
05e681f98f Fix favicon (#225)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-08-27 00:26:51 +08:00
archer
17c59bedfe README 2023-08-27 00:26:14 +08:00
archer
92ebd6a0b9 doc: m3e model 2023-08-26 22:31:21 +08:00
archer
0d26b1d48e fix: file sprcial char 2023-08-26 21:36:48 +08:00
archer
4973d7ad9c fix: default vector 2023-08-26 19:40:18 +08:00
archer
defc73651b glm2 docs 2023-08-26 19:24:14 +08:00
archer
eefc976d42 perf: qa prompt 2023-08-26 19:21:15 +08:00
archer
be33794a5f feat: self vector search 2023-08-26 18:25:12 +08:00
archer
13439c5183 perf: read file token error 2023-08-26 17:17:19 +08:00
archer
93030afe3e fix: limit prompt 2023-08-26 11:56:26 +08:00
archer
dfc40db835 prompt 2023-08-26 10:52:55 +08:00
MaricoHan
7f48acc42e 修正单词拼写 (#223) 2023-08-26 09:36:18 +08:00
archer
5661b11aee docs 2023-08-25 16:34:49 +08:00
archer
4b088e84c7 fix: ts 2023-08-25 15:45:24 +08:00
archer
6d93059e25 feat: config vector model and qa model 2023-08-25 15:00:51 +08:00
archer
a9970dd694 logo 2023-08-25 10:15:09 +08:00
Carson Yang
81421bccef Fix CI workflow (#220)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-08-25 10:06:20 +08:00
Carson Yang
f4ae980a75 Update favicon (#219)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-08-25 09:41:12 +08:00
Archer
9415e22de9 v4.2 (#217)
* fix: chat module link

* fix: url fetch check

* fix: import file ui

* feat: app logs

* perf: iframe icon

* imgs cdn

* perf: click range and pg
2023-08-24 21:08:49 +08:00
archer
2b50dac0e7 fix: imgs cdn 2023-08-24 09:23:17 +08:00
archer
e589350eb3 fix: base url 2023-08-24 09:20:46 +08:00
archer
a99ef9e2c0 docs 2023-08-24 09:06:25 +08:00
archer
34ab66bb69 fix: docs 2023-08-24 08:30:09 +08:00
archer
a5c8f34706 prompt 2023-08-23 18:53:46 +08:00
archer
e266ab6a2e docs 2023-08-23 18:47:32 +08:00
archer
7edc5c5b19 docs action 2023-08-23 18:27:48 +08:00
archer
f8fc53811c docs 2023-08-23 18:21:11 +08:00
archer
a3c4a856fa perf: default prompt 2023-08-23 16:20:53 +08:00
archer
6c70f0601d perf: vector unit 2023-08-23 15:09:27 +08:00
archer
6a39b51460 perf: plugin response 2023-08-23 15:09:26 +08:00
archer
a5f8fae3f2 perf: plus api 2023-08-23 15:09:26 +08:00
archer
7a231c6501 invite url 2023-08-23 15:09:25 +08:00
Carson Yang
c20fba11ba docs: update the framework of doc site (#207)
Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>
2023-08-22 11:08:28 +08:00
archer
c7d0975f6d add bill range 2023-08-20 14:05:33 +08:00
archer
006b1be2c3 perf: quote prompt 2023-08-20 14:05:32 +08:00
archer
4d8c03ead5 docs 2023-08-19 22:02:27 +08:00
Archer
1fcdd7cb8d feat: url fetch and create file (#199)
* docs

* docs

* feat: url fetch and create file
2023-08-19 12:54:24 +08:00
archer
4054eb9d18 docs 2023-08-18 10:45:48 +08:00
archer
b8d339fe66 docs 2023-08-18 10:07:24 +08:00
archer
c5b5c440ca perf: url fetch 2023-08-17 23:54:47 +08:00
不做了睡大觉
59ccc8565b 页面抓取 (#185)
* Create GLM2对接教程.md

* 添加GLM2接入教程

* Delete GLM2对接教程.md

* Delete image.png

* Delete openai_api.py

* Delete openai_api_int4.py

* Delete openai_api_int8.py

* Create GLM2对接教程.md

* 添加ChatGLM2接口

* Delete openai_api_int4.py

* Delete openai_api_int8.py

* Update openai_api.py

* Update GLM2对接教程.md

* 页面抓取接口

* Update package.json

* Update fetchContent.ts

* Delete GLM2对接教程.md

* Delete openai_api.py

---------

Co-authored-by: Archer <545436317@qq.com>
2023-08-17 23:25:36 +08:00
Archer
40168c56ea perf: logger (#186)
* feat: finish response

* perf: logger

* docs

* perf: log

* docs
2023-08-17 23:19:19 +08:00
Archer
324e4a0e75 v4.1 (#183)
* chat item table

* perf: chat item save

* docs

* limit

* docs

* docs

* perf: node card

* docs

* docs
2023-08-17 16:57:22 +08:00
Carson Yang
ce61ac3fac Update README.md (#181)
Add the option for self-hosting
2023-08-17 14:50:16 +08:00
archer
c9f4bad707 fix: file 2023-08-16 18:48:38 +08:00
archer
0455bdeace google search docs 2023-08-16 18:44:21 +08:00
archer
38e4a41cfd google search docs 2023-08-16 18:42:39 +08:00
archer
2c174aa91c feat: copy settings config 2023-08-16 18:21:55 +08:00
archer
a149b3a2ce feat: http docs 2023-08-16 16:35:08 +08:00
archer
72a9307eb3 fix: chat data outsize 2023-08-16 16:14:37 +08:00
archer
2f81fbc42f perf: http node response 2023-08-16 11:18:35 +08:00
archer
e8ff91c455 modules 2023-08-15 22:04:41 +08:00
archer
d8cd2e9b45 remove log 2023-08-15 20:38:11 +08:00
archer
cc57a7e27e perf: response tag;feat: history quote 2023-08-15 09:55:00 +08:00
archer
b8a65e1742 whole response modal 2023-08-14 17:45:48 +08:00
archer
7261f2250c cursor 2023-08-14 12:10:22 +08:00
archer
bb7596c3d5 feat: queue len show 2023-08-14 11:39:42 +08:00
archer
4952a48c52 perf: unlock training 2023-08-14 10:48:03 +08:00
archer
90f5f84bd8 feat: del dat confirm 2023-08-14 10:43:05 +08:00
archer
3a49efd46d pg table name 2023-08-14 10:36:15 +08:00
archer
c5fd5706a1 svg logo 2023-08-14 10:29:52 +08:00
archer
d4d9e1fe65 fix: markdonw link 2023-08-14 10:21:20 +08:00
archer
0d7022026b fix: file selector 2023-08-14 10:15:57 +08:00
archer
36bd25822d licence 2023-08-11 22:03:29 +08:00
archer
716423109e read 2023-08-11 21:33:52 +08:00
Archer
a0c397cfd2 docs (#165)
* perf: log

* README

* docs
2023-08-10 14:26:10 +08:00
archer
4dc0fd3c3f fix: completions delta 2023-08-10 13:15:26 +08:00
archer
f70a988574 perf: docs 2023-08-10 13:11:39 +08:00
archer
63c832d883 perf: search prompt, upload step and psw len 2023-08-10 11:49:32 +08:00
archer
9ea19b8eaa docs 2023-08-10 10:30:35 +08:00
archer
85feb005b9 feat: data config set scripts 2023-08-10 09:37:23 +08:00
Archer
b7b222fdfb perf: env template (#163) 2023-08-09 20:41:44 +08:00
Archer
adabc14340 del file (#162) 2023-08-09 20:00:27 +08:00
Archer
657d0ad374 flow moduoles (#161)
* flow intro

* docs:flow modules

* docs:flow modules
2023-08-09 18:07:58 +08:00
Archer
b6f9f77ed4 chat model config (#158)
* chat model config

* fix: i18n next
2023-08-09 11:08:39 +08:00
Archer
da4b14fbf8 docs (#156)
* docs

* docs

* docs

* docs

* init docs
2023-08-08 21:15:33 +08:00
archer
3993f520c7 docs 2023-08-08 16:58:19 +08:00
archer
48ab2d6338 docs 2023-08-08 16:42:27 +08:00
archer
93a04cc174 docs 2023-08-08 16:32:50 +08:00
archer
eb897daef2 docs 2023-08-08 16:22:37 +08:00
archer
5116bf7d25 docs 2023-08-08 16:14:03 +08:00
archer
6531af6c3a docs icon 2023-08-08 13:44:20 +08:00
archer
d3aca33ba2 perf: git 2023-08-08 13:33:35 +08:00
archer
5fc9041d46 perf: git 2023-08-08 13:30:58 +08:00
archer
3cf38930eb homepage 2023-08-08 13:24:05 +08:00
archer
37fe67dc81 fix: gitlogin 2023-08-07 19:31:49 +08:00
archer
78906d8557 perf: sse 2023-08-07 18:04:50 +08:00
archer
b142c04b95 perf: git 2023-08-07 17:59:17 +08:00
archer
a4c1a04900 iframe 2023-08-07 17:54:35 +08:00
archer
a178de37de git 2023-08-07 17:32:27 +08:00
archer
251f2225ee perf: generateVector 2023-08-07 17:31:37 +08:00
archer
ce729dff1f feat: git login 2023-08-07 17:19:04 +08:00
archer
206eb81bb4 feat: copy module 2023-08-07 14:45:49 +08:00
archer
90406fce9e feat: default message 2023-08-07 13:48:53 +08:00
archer
89036f8aec perf: git star 2023-08-07 13:26:53 +08:00
archer
c26be2e885 perf: chat completion api 2023-08-07 13:18:45 +08:00
archer
2f614ac40d perf: app type 2023-08-07 12:59:52 +08:00
archer
e190ee92e8 perf: navbar 2023-08-07 11:23:39 +08:00
archer
b6e156db26 perf: chunk filter 2023-08-07 11:04:32 +08:00
archer
7fe20ef041 perf: chunk filter 2023-08-07 10:59:31 +08:00
archer
1964640d5c perf: pay 2023-08-07 09:32:01 +08:00
archer
09879004be fix: abort chat response 2023-08-05 14:14:51 +08:00
archer
236e7d3c3f content censor 2023-08-05 13:26:48 +08:00
archer
8d3ad943be perf: send code 2023-08-05 12:56:37 +08:00
archer
bb824ab35e perf: user openai 2023-08-05 12:26:26 +08:00
archer
37a6293f5e fix: config 2023-08-05 11:51:40 +08:00
archer
761ae74b0a perf: token 2023-08-05 11:32:43 +08:00
archer
eb5a252654 fix: csv select 2023-08-04 18:32:37 +08:00
archer
a19c8b9106 i18n 2023-08-04 18:26:54 +08:00
archer
9a31407a01 feat: chat status 2023-08-04 18:16:48 +08:00
zhujingyang
c7bfd773e3 feat: file drag and drop (#2)
* feat file drag and drop

Signed-off-by: jingyang <3161362058@qq.com>

* add file select i18n

Signed-off-by: jingyang <3161362058@qq.com>

* add i18n Interpolation

Signed-off-by: jingyang <3161362058@qq.com>

---------

Signed-off-by: jingyang <3161362058@qq.com>
2023-08-04 18:16:34 +08:00
archer
25dc45c398 perf: extract 2023-08-04 14:17:52 +08:00
archer
6f37d7b460 default config 2023-08-04 14:00:50 +08:00
archer
94a241bbb1 feat: modules 2023-08-04 10:39:39 +08:00
archer
eb28bfb27b perf: ts 2023-08-04 10:06:34 +08:00
archer
ffd4e194bf feat: http request 2023-08-03 15:43:06 +08:00
archer
952da2a06e feat: http modules 2023-08-03 11:09:57 +08:00
archer
b7934ecc27 perf: extract modules 2023-08-02 18:08:27 +08:00
archer
8862e353aa fix: extract modules 2023-08-02 16:33:31 +08:00
archer
bf1f958dcd fix: tip 2023-08-02 15:37:18 +08:00
archer
83d569df83 perf: auth event model 2023-08-02 14:56:48 +08:00
archer
58d94e1018 head ,csv template and limit content size 2023-08-02 14:52:27 +08:00
archer
ae95a8908e fix: savechat.feat: extract flow 2023-08-02 14:17:43 +08:00
archer
58153306c5 extract modules 2023-08-02 14:17:42 +08:00
jingyang
2f28f57d78 feat translation of the user module
Signed-off-by: jingyang <3161362058@qq.com>
2023-08-02 10:50:38 +08:00
archer
911c5c00ba docs 2023-07-30 22:34:10 +08:00
archer
bd137d7595 root user 2023-07-30 12:53:54 +08:00
archer
40200c7c71 root user 2023-07-30 12:53:32 +08:00
archer
502d8d8c73 detail ux 2023-07-30 12:45:15 +08:00
archer
5f5d439f55 fix: sse headers and extract module 2023-07-30 12:26:21 +08:00
archer
b472127d3b fix: admin 2023-07-29 11:01:18 +08:00
archer
53a082278b fix: admin 2023-07-29 10:53:42 +08:00
archer
1704cf31de fix: table and message 2023-07-29 10:41:39 +08:00
972 changed files with 65225 additions and 31622 deletions

30
.github/ISSUE_TEMPLATE/bugs.md vendored Normal file
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@@ -0,0 +1,30 @@
---
name: 问题反馈
about: 详细清晰的描述你遇到的问题
title: ''
labels: bug
assignees: ''
---
**例行检查**
[//]: # '方框内填 x 表示打钩'
- [ ] 我已确认目前没有类似 issue
- [ ] 我已完整查看过项目 README以及[项目文档](https://doc.fastgpt.run/docs/intro/)
- [ ] 我使用了自己的 key并确认我的 key 是可正常使用的
- [ ] 我理解并愿意跟进此 issue协助测试和提供反馈
- [x] 我理解并认可上述内容,并理解项目维护者精力有限,**不遵循规则的 issue 可能会被无视或直接关闭**
**你的版本**
- [ ] 公有云版本
- [ ] 私有部署版本
**问题描述**
**复现步骤**
**预期结果**
**相关截图**

5
.github/ISSUE_TEMPLATE/config.yml vendored Normal file
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@@ -0,0 +1,5 @@
blank_issues_enabled: false
contact_links:
- name: 微信交流群
url: https://doc.fastgpt.run/wechat-fastgpt.webp
about: FastGPT 全是问题群

23
.github/ISSUE_TEMPLATE/features.md vendored Normal file
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@@ -0,0 +1,23 @@
---
name: 功能请求
about: 详细描述你期望的功能
title: ''
labels: enhancement
assignees: ''
---
**例行检查**
[//]: # '方框内填 x 表示打钩'
- [ ] 我已确认目前没有类似 features
- [ ] 我已确认我已升级到最新版本
- [ ] 我已完整查看过项目 README已确定现有版本无法满足需求
- [ ] 我理解并愿意跟进此 features协助测试和提供反馈
- [x] 我理解并认可上述内容,并理解项目维护者精力有限,**不遵循规则的 features 可能会被无视或直接关闭**
**功能描述**
**应用场景**
**相关示例**

30
.github/gh-bot.yml vendored Normal file
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@@ -0,0 +1,30 @@
version: v1
debug: true
action:
printConfig: false
release:
retry: 15s
actionName: Release
allowOps:
- cuisongliu
bot:
prefix: /
spe: _
allowOps:
- sealos-ci-robot
- sealos-release-robot
email: sealos-ci-robot@sealos.io
username: sealos-ci-robot
repo:
org: false
message:
success: |
🤖 says: Hooray! The action {{.Body}} has been completed successfully. 🎉
format_error: |
🤖 says: ‼️ There is a formatting issue with the action, kindly verify the action's format.
permission_error: |
🤖 says: ‼️ The action doesn't have permission to trigger.
release_error: |
🤖 says: ‼️ Release action failed.
Error details: {{.Error}}

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<svg width="32" height="32" viewBox="0 0 1041 1348" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M340.837 0.33933L681.068 0.338989V0.455643C684.032 0.378397 686.999 0.339702 689.967 0.339702C735.961 0.3397 781.504 9.62899 823.997 27.6772C866.49 45.7254 905.099 72.1791 937.622 105.528C970.144 138.877 995.942 178.467 1013.54 222.04C1031.14 265.612 1040.2 312.312 1040.2 359.474L340.836 359.474L340.836 1347.84C296.157 1347.84 251.914 1338.55 210.636 1320.49C169.357 1302.43 131.85 1275.95 100.257 1242.58C68.6636 1209.21 43.6023 1169.59 26.5041 1125.99C11.3834 1087.43 2.75216 1046.42 0.957956 1004.81H0.605869L0.605897 368.098H0.70363C0.105752 341.831 2.23741 315.443 7.14306 289.411C20.2709 219.745 52.6748 155.754 100.257 105.528C147.839 55.3017 208.462 21.0975 274.461 7.24017C296.426 2.62833 318.657 0.339101 340.837 0.33933Z" fill="url(#paint0_linear_1172_228)"/>
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<defs>
<linearGradient id="paint0_linear_1172_228" x1="520.404" y1="0.338989" x2="520.404" y2="1347.84" gradientUnits="userSpaceOnUse">
<stop stop-color="#326DFF"/>
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@@ -1,79 +0,0 @@
name: Build fastgpt-admin images and copy image to docker hub
on:
workflow_dispatch:
push:
paths:
- 'admin/**'
branches:
- 'main'
tags:
- 'v*.*.*'
jobs:
build-admin-images:
runs-on: ubuntu-20.04
steps:
- name: Checkout
uses: actions/checkout@v3
with:
fetch-depth: 1
- name: Install Dependencies
run: |
sudo apt update && sudo apt install -y nodejs npm
- name: Set up QEMU (optional)
uses: docker/setup-qemu-action@v2
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
with:
driver-opts: network=host
- name: Login to GitHub Container Registry
uses: docker/login-action@v2
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GH_PAT }}
- name: Set DOCKER_REPO_TAGGED based on branch or tag
run: |
if [[ "${{ github.ref_name }}" == "main" ]]; then
echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-admin:latest" >> $GITHUB_ENV
else
echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-admin:${{ github.ref_name }}" >> $GITHUB_ENV
fi
- name: Build and publish image for main branch or tag push event
env:
DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
run: |
cd admin && \
docker buildx build \
--platform linux/amd64,linux/arm64 \
--label "org.opencontainers.image.source= https://github.com/ ${{ github.repository_owner }}/FastGPT" \
--label "org.opencontainers.image.description=fastgpt-admin image" \
--label "org.opencontainers.image.licenses=MIT" \
--push \
-t ${DOCKER_REPO_TAGGED} \
-f Dockerfile \
.
push-to-docker-hub:
needs: build-admin-images
runs-on: ubuntu-20.04
steps:
- name: Checkout code
uses: actions/checkout@v3
- name: Login to Docker Hub
uses: docker/login-action@v2
with:
username: ${{ secrets.DOCKER_HUB_NAME }}
password: ${{ secrets.DOCKER_HUB_PASSWORD }}
- name: Set DOCKER_REPO_TAGGED based on branch or tag
run: |
if [[ "${{ github.ref_name }}" == "main" ]]; then
echo "IMAGE_TAG=latest" >> $GITHUB_ENV
else
echo "IMAGE_TAG=${{ github.ref_name }}" >> $GITHUB_ENV
fi
- name: Pull image from GitHub Container Registry
run: docker pull ghcr.io/${{ github.repository_owner }}/fastgpt-admin:${{env.IMAGE_TAG}}
- name: Tag image with Docker Hub repository name and version tag
run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt-admin:${{env.IMAGE_TAG}} ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
- name: Push image to Docker Hub
run: docker push ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}

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@@ -0,0 +1,19 @@
name: 'Github Rebot for issues-translator'
on:
issues:
types: [ opened ]
issue_comment:
types: [ created ]
jobs:
translate:
permissions:
issues: write
discussions: write
pull-requests: write
runs-on: ubuntu-latest
steps:
- uses: usthe/issues-translate-action@v2.7
with:
IS_MODIFY_TITLE: true
BOT_GITHUB_TOKEN: ${{ secrets.GH_PAT }}
CUSTOM_BOT_NOTE: Bot detected the issue body's language is not English, translate it automatically. 👯👭🏻🧑‍🤝‍🧑👫🧑🏿‍🤝‍🧑🏻👩🏾‍🤝‍👨🏿👬🏿

70
.github/workflows/deploy-docs.yml vendored Normal file
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@@ -0,0 +1,70 @@
name: deploy-docs
on:
workflow_dispatch:
push:
paths:
- 'docSite/**'
branches:
- 'main'
tags:
- 'v*.*.*'
# A workflow run is made up of one or more jobs that can run sequentially or in parallel
jobs:
# This workflow contains jobs "deploy-production"
deploy-production:
# The environment this job references
environment:
name: Production
url: ${{ steps.vercel-action.outputs.preview-url }}
# The type of runner that the job will run on
runs-on: ubuntu-22.04
# Job outputs
outputs:
docs: ${{ steps.filter.outputs.docs }}
# Steps represent a sequence of tasks that will be executed as part of the job
steps:
# Step 1 - Checks-out your repository under $GITHUB_WORKSPACE
- name: Checkout
uses: actions/checkout@v3
with:
submodules: recursive # Fetch submodules
fetch-depth: 0 # Fetch all history for .GitInfo and .Lastmod
# Step 2 Detect changes to Docs Content
- name: Detect changes in doc content
uses: dorny/paths-filter@v2
id: filter
with:
filters: |
docs:
- 'docSite/content/docs/**'
base: main
# Step 3 - Install Hugo (specific version)
- name: Install Hugo
uses: peaceiris/actions-hugo@v2
with:
hugo-version: '0.117.0'
extended: true
# Step 4 - Builds the site using Hugo
- name: Build
run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify
# Step 5 - Push our generated site to Vercel
- name: Deploy to Vercel
uses: amondnet/vercel-action@v25
id: vercel-action
with:
vercel-token: ${{ secrets.VERCEL_TOKEN }} # Required
vercel-org-id: ${{ secrets.VERCEL_ORG_ID }} #Required
vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }} #Required
github-comment: false
vercel-args: '--prod --local-config ../vercel.json' # Optional
working-directory: docSite/public

94
.github/workflows/deploy-preview.yml vendored Normal file
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@@ -0,0 +1,94 @@
name: deploy-docs-preview
on:
pull_request_target:
paths:
- 'docSite/**'
branches:
- 'main'
workflow_dispatch:
# A workflow run is made up of one or more jobs that can run sequentially or in parallel
jobs:
# This workflow contains jobs "deploy-production"
deploy-preview:
# The environment this job references
environment:
name: Preview
url: ${{ steps.vercel-action.outputs.preview-url }}
# The type of runner that the job will run on
runs-on: ubuntu-22.04
# Job outputs
outputs:
url: ${{ steps.vercel-action.outputs.preview-url }}
# Steps represent a sequence of tasks that will be executed as part of the job
steps:
# Step 1 - Checks-out your repository under $GITHUB_WORKSPACE
- name: Checkout
uses: actions/checkout@v3
with:
ref: ${{ github.event.pull_request.head.ref }}
repository: ${{ github.event.pull_request.head.repo.full_name }}
submodules: recursive # Fetch submodules
fetch-depth: 0 # Fetch all history for .GitInfo and .Lastmod
# Step 2 Detect changes to Docs Content
- name: Detect changes in doc content
uses: dorny/paths-filter@v2
id: filter
with:
filters: |
docs:
- 'docSite/content/docs/**'
base: main
# Step 3 - Install Hugo (specific version)
- name: Install Hugo
uses: peaceiris/actions-hugo@v2
with:
hugo-version: '0.117.0'
extended: true
# Step 4 - Builds the site using Hugo
- name: Build
run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify
# Step 5 - Push our generated site to Vercel
- name: Deploy to Vercel
uses: amondnet/vercel-action@v25
id: vercel-action
with:
vercel-token: ${{ secrets.VERCEL_TOKEN }} # Required
vercel-org-id: ${{ secrets.VERCEL_ORG_ID }} #Required
vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }} #Required
github-comment: false
vercel-args: '--local-config ../vercel.json' # Optional
working-directory: docSite/public
alias-domains: | #Optional
fastgpt-staging.vercel.app
docsOutput:
needs: [ deploy-preview ]
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
with:
ref: ${{ github.event.pull_request.head.ref }}
repository: ${{ github.event.pull_request.head.repo.full_name }}
- name: Write md
run: |
echo "# 🤖 Generated by deploy action" > report.md
echo "[👀 Visit Preview](${{ needs.deploy-preview.outputs.url }})" >> report.md
cat report.md
- name: Gh Rebot for Sealos
uses: labring/gh-rebot@v0.0.6
if: ${{ (github.event_name == 'pull_request_target') }}
with:
version: v0.0.6
env:
GH_TOKEN: "${{ secrets.GH_PAT }}"
SEALOS_TYPE: "pr_comment"
SEALOS_FILENAME: "report.md"
SEALOS_REPLACE_TAG: "DEFAULT_REPLACE_DEPLOY"

View File

@@ -3,7 +3,7 @@ on:
workflow_dispatch:
push:
paths:
- 'client/**'
- 'projects/app/**'
branches:
- 'main'
tags:
@@ -25,6 +25,13 @@ jobs:
uses: docker/setup-buildx-action@v2
with:
driver-opts: network=host
- name: Cache Docker layers
uses: actions/cache@v2
with:
path: /tmp/.buildx-cache
key: ${{ runner.os }}-buildx-${{ github.sha }}
restore-keys: |
${{ runner.os }}-buildx-
- name: Login to GitHub Container Registry
uses: docker/login-action@v2
with:
@@ -38,24 +45,26 @@ jobs:
else
echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
fi
- name: Build and publish image for main branch or tag push event
env:
DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
run: |
cd client && \
docker buildx build \
--build-arg name=app \
--platform linux/amd64,linux/arm64 \
--label "org.opencontainers.image.source= https://github.com/ ${{ github.repository_owner }}/FastGPT" \
--label "org.opencontainers.image.description=fastgpt image" \
--label "org.opencontainers.image.licenses=MIT" \
--push \
--cache-from=type=local,src=/tmp/.buildx-cache \
--cache-to=type=local,dest=/tmp/.buildx-cache \
-t ${DOCKER_REPO_TAGGED} \
-f Dockerfile \
.
push-to-docker-hub:
needs: build-fastgpt-images
runs-on: ubuntu-20.04
if: github.repository == 'labring/FastGPT'
steps:
- name: Checkout code
uses: actions/checkout@v3
@@ -77,3 +86,29 @@ jobs:
run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
- name: Push image to Docker Hub
run: docker push ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
push-to-ali-hub:
needs: build-fastgpt-images
if: github.repository == 'labring/FastGPT'
runs-on: ubuntu-20.04
steps:
- name: Checkout code
uses: actions/checkout@v3
- name: Login to Ali Hub
uses: docker/login-action@v2
with:
registry: registry.cn-hangzhou.aliyuncs.com
username: ${{ secrets.ALI_HUB_USERNAME }}
password: ${{ secrets.ALI_HUB_PASSWORD }}
- name: Set DOCKER_REPO_TAGGED based on branch or tag
run: |
if [[ "${{ github.ref_name }}" == "main" ]]; then
echo "IMAGE_TAG=latest" >> $GITHUB_ENV
else
echo "IMAGE_TAG=${{ github.ref_name }}" >> $GITHUB_ENV
fi
- name: Pull image from GitHub Container Registry
run: docker pull ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}}
- name: Tag image with Docker Hub repository name and version tag
run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}
- name: Push image to Docker Hub
run: docker push ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}

6
.gitignore vendored
View File

@@ -29,4 +29,8 @@ next-env.d.ts
platform.json
testApi/
local/
dist/
dist/
# hugo
**/.hugo_build.lock
docSite/public/

View File

@@ -1,4 +1,5 @@
dist
.vscode
**/.DS_Store
node_modules
node_modules
docSite/

View File

@@ -1,10 +1,10 @@
{
"editor.formatOnSave": true,
"editor.mouseWheelZoom": true,
"typescript.tsdk": "client/node_modules/typescript/lib",
"typescript.tsdk": "node_modules/typescript/lib",
"prettier.prettierPath": "./node_modules/prettier",
"i18n-ally.localesPaths": [
"client/public/locales"
"projects/app/public/locales"
],
"i18n-ally.enabledParsers": ["json"],
"i18n-ally.keystyle": "nested",

72
Dockerfile Normal file
View File

@@ -0,0 +1,72 @@
# Install dependencies only when needed
FROM node:current-alpine AS deps
# Check https://github.com/nodejs/docker-node/tree/b4117f9333da4138b03a546ec926ef50a31506c3#nodealpine to understand why libc6-compat might be needed.
RUN apk add --no-cache libc6-compat && npm install -g pnpm
WORKDIR /app
ARG name
# copy packages and one project
COPY package.json pnpm-lock.yaml pnpm-workspace.yaml ./
COPY ./packages ./packages
COPY ./projects/$name/package.json ./projects/$name/package.json
COPY ./projects/$name/pnpm-lock.yaml ./projects/$name/pnpm-lock.yaml
RUN \
[ -f pnpm-lock.yaml ] && pnpm install || \
(echo "Lockfile not found." && exit 1)
RUN pnpm prune
# Rebuild the source code only when needed
FROM node:current-alpine AS builder
WORKDIR /app
ARG name
# copy common node_modules and one project node_modules
COPY --from=deps /app/node_modules ./node_modules
COPY --from=deps /app/packages ./packages
COPY ./projects/$name ./projects/$name
COPY --from=deps /app/projects/$name/node_modules ./projects/$name/node_modules
COPY pnpm-lock.yaml pnpm-workspace.yaml ./
COPY ./packages ./packages
# Uncomment the following line in case you want to disable telemetry during the build.
ENV NEXT_TELEMETRY_DISABLED 1
RUN npm install -g pnpm
RUN pnpm --filter=$name run build
FROM node:current-alpine AS runner
WORKDIR /app
ARG name
# create user and use it
RUN addgroup --system --gid 1001 nodejs
RUN adduser --system --uid 1001 nextjs
RUN sed -i 's/https/http/' /etc/apk/repositories
RUN apk add curl \
&& apk add ca-certificates \
&& update-ca-certificates
# copy running files
COPY --from=builder /app/projects/$name/public ./projects/$name/public
COPY --from=builder /app/projects/$name/next.config.js ./projects/$name/next.config.js
COPY --from=builder --chown=nextjs:nodejs /app/projects/$name/.next/standalone ./
COPY --from=builder --chown=nextjs:nodejs /app/projects/$name/.next/static ./projects/$name/.next/static
# copy package.json to version file
COPY --from=builder /app/projects/$name/package.json ./package.json
ENV NODE_ENV production
ENV NEXT_TELEMETRY_DISABLED 1
ENV PORT=3000
EXPOSE 3000
USER nextjs
ENV serverPath=./projects/$name/server.js
ENTRYPOINT ["sh","-c","node ${serverPath}"]

210
LICENSE
View File

@@ -1,201 +1,35 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
# FastGPT Open Source License
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
The FastGPT is licensed under the Apache License 2.0, with the following additional conditions:
1. Definitions.
1. FastGPT is permitted to be used for commercialization. You can use FastGPT as a "backend-as-a-service" for your other applications, or delivering it to enterprises as an application development platform. However, when the following conditions are met, you must contact the producer to obtain a commercial license:
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
a. Multi-tenant SaaS service: Unless explicitly authorized by FastGPT in writing, you may not use the FastGPT.AI source code to operate a multi-tenant SaaS service that is similar to the FastGPT.
b. LOGO and copyright information: In the process of using FastGPT, you may not remove or moFastGPT the LOGO or copyright information in the FastGPT console.
"Licensor" shall mean the copyright owner or entity authorized by
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Please contact yujinlong@sealos.io by email to inquire about licensing matters.
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120
README.md
View File

@@ -1,57 +1,121 @@
# Fast GPT
<div align="center">
Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接口,目前集成了 Gpt35, Gpt4 和 embedding. 可构建自己的知识库。并且 OpenAPI Chat 接口兼容 OpenAI 接口,意味着你只需修改 BaseUrl 和 Authorization 即可在已有项目基础上接入 FastGpt
<a href="https://fastgpt.run/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
# FastGPT
FastGPT 是一个基于 LLM 大语言模型的知识库问答系统,提供开箱即用的数据处理、模型调用等能力。同时可以通过 Flow 可视化进行工作流编排,从而实现复杂的问答场景!
</div>
<p align="center">
<a href="https://fastgpt.run/">线上体验</a>
·
<a href="https://doc.fastgpt.run/docs/intro">相关文档</a>
·
<a href="https://doc.fastgpt.run/docs/development">本地开发</a>
·
<a href="https://github.com/labring/FastGPT#-%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE">相关项目</a>
</p>
https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
## 🛸 在线体验
🎉 [fastgpt.run](https://fastgpt.run/)
🎉 [ai.fastgpt.run](https://ai.fastgpt.run/)
[fastgpt.run](https://fastgpt.run/)(服务器在新加坡,部分地区可能无法直连)
![Demo](.github/imgs/demo.png?raw=true 'demo')
| | |
| ---------------------------------- | ---------------------------------- |
| ![Demo](./.github/imgs/intro1.png) | ![Demo](./.github/imgs/intro2.png) |
| ![Demo](./.github/imgs/intro3.png) | ![Demo](./.github/imgs/intro4.png) |
#### 知识库原理图
## 💡 功能
![KBProcess](.github/imgs/KBProcess.jpg?raw=true 'KBProcess')
1. 强大的可视化编排,轻松构建 AI 应用
- [x] 提供简易模式,无需操作编排
- [x] 用户对话前引导, 全局字符串变量
- [x] 知识库搜索
- [x] 多 LLM 模型对话
- [x] 文本内容提取成结构化数据
- [x] HTTP 扩展
- [ ] 嵌入 Laf实现在线编写 HTTP 模块
- [ ] 连续对话引导
- [ ] 对话多路线选择
- [x] 源文件引用追踪
- [ ] 自定义文件阅读器
2. 丰富的知识库预处理
- [x] 多库复用,混用
- [x] chunk 记录修改和删除
- [x] 支持 手动输入, 直接分段, QA 拆分导入
- [x] 支持 url 读取、 CSV 批量导入
- [x] 支持知识库单独设置向量模型
- [x] 源文件存储
- [ ] 文件学习 Agent
3. 多种效果测试渠道
- [x] 知识库单点搜索测试
- [x] 对话时反馈引用并可修改与删除
- [x] 完整上下文呈现
- [ ] 完整模块中间值呈现
4. OpenAPI
- [x] completions 接口(对齐 GPT 接口)
- [ ] 知识库 CRUD
5. 运营功能
- [x] 免登录分享窗口
- [x] Iframe 一键嵌入
- [x] 统一查阅对话记录,并对数据进行标注
## 👨‍💻 开发
项目技术栈: NextJs + TS + ChakraUI + Mongo + PostgresVector 插件)
这是一个平台项目,非单机项目,除了模型调用外还涉及非常多用户的内容。
[本地开发 Quick Start](docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/quick-start/dev.md)
项目技术栈: NextJs + TS + ChakraUI + Mongo + PostgresVector 插件)
## 🚀 私有化部署
- **⚡ 快速部署**
- [官方推荐 Sealos 部署](https://sealos.io/docs/examples/ai-applications/install-fastgpt-on-desktop) 无需服务器,代理和域名,高可用。
- [docker-compose 部署](docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/deploy/docker.md) 单机版。
- [由社区贡献的宝塔部署和本地运行教程](https://www.bilibili.com/video/BV1tV4y1y7Mj/?vd_source=92041a1a395f852f9d89158eaa3f61b4) 单机版。
> Sealos 的服务器在国外,不需要额外处理网络问题,无需服务器、无需魔法、无需域名,支持高并发 & 动态伸缩。点击以下按钮即可一键部署 👇
## :point_right: RoadMap
[![](https://cdn.jsdelivr.us/gh/labring-actions/templates@main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
- [FastGpt RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte)
由于需要部署数据库,部署完后需要等待 2~4 分钟才能正常访问。默认用了最低配置,首次访问时会有些慢。
## 🏘️ 交流群
* [快开始本地开发](https://doc.fastgpt.run/docs/development/intro/)
* [部署 FastGPT](https://doc.fastgpt.run/docs/installation)
* [系统配置文件说明](https://doc.fastgpt.run/docs/development/configuration/)
* [多模型配置](https://doc.fastgpt.run/docs/installation/one-api/)
* [版本升级](https://doc.fastgpt.run/docs/installation/upgrading)
* [API 文档](https://doc.fastgpt.run/docs/development/openapi?pre_pathname=%2Fdrive%2Fhome%2F)
添加 wx 进入:
![Demo](https://otnvvf-imgs.oss.laf.run/wx300.jpg)
## 🏘️ 社区交流群
## Powered by
添加 wx 小助手加入:
- [TuShan: 5 分钟搭建后台管理系统](https://github.com/msgbyte/tushan)
- [Laf: 3 分钟快速接入三方应用](https://github.com/labring/laf)
- [Sealos: 快速部署集群应用](https://github.com/labring/sealos)
- [One API: 令牌管理 & 二次分发,支持 Azure](https://github.com/songquanpeng/one-api)
![](https://otnvvf-imgs.oss.laf.run/wx300.jpg)
## 👀 其他
- [FastGpt 常见问题](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
- [FastGPT 常见问题](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
- [docker 部署教程视频](https://www.bilibili.com/video/BV1jo4y147fT/)
- [公众号接入视频教程](https://www.bilibili.com/video/BV1xh4y1t7fy/)
- [FastGpt 知识库演示](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
- [FastGPT 知识库演示](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
## 第三方生态
## 💪 相关项目
- [Laf: 3 分钟快速接入三方应用](https://github.com/labring/laf)
- [Sealos: 快速部署集群应用](https://github.com/labring/sealos)
- [One API: 多模型管理,支持 Azure、文心一言等](https://github.com/songquanpeng/one-api)
- [TuShan: 5 分钟搭建后台管理系统](https://github.com/msgbyte/tushan)
## 🤝 第三方生态
- [OnWeChat 个人微信/企微机器人](https://doc.fastgpt.run/docs/use-cases/onwechat/)
- [luolinAI: 企微机器人,开箱即用](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
## 🌟 Star History
[![Star History Chart](https://api.star-history.com/svg?repos=labring/FastGPT&type=Date)](https://star-history.com/#labring/FastGPT&Date)
## 使用协议
本仓库遵循 [FastGPT Open Source License](./LICENSE) 开源协议。
1. 允许作为后台服务直接商用,但不允许直接使用 saas 服务商用。
2. 需保留相关版权信息。
3. 完整请查看 [FastGPT Open Source License](./LICENSE)
4. 联系方式yujinlong@sealos.io, [点击查看定价策略](https://doc.fastgpt.run/docs/commercial)

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@@ -0,0 +1,115 @@
<div align="center">
<a href="https://fastgpt.run/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
# FastGPT
FastGPT is a knowledge-based question answering system built on the LLM. It offers out-of-the-box data processing and model invocation capabilities. Moreover, it allows for workflow orchestration through Flow visualization, thereby enabling complex question and answer scenarios!
</div>
<p align="center">
<a href="https://fastgpt.run/">Online</a>
·
<a href="https://doc.fastgpt.run/docs/intro">Document</a>
·
<a href="https://doc.fastgpt.run/docs/development">Development</a>
·
<a href="https://doc.fastgpt.run/docs/installation">Deploy</a>
·
<a href="#powered-by">Power By</a>
</p>
## 🛸 Online
[fastgpt.run](https://fastgpt.run/)
| | |
| ---------------------------------- | ---------------------------------- |
| ![Demo](./.github/imgs/intro1.png) | ![Demo](./.github/imgs/intro2.png) |
| ![Demo](./.github/imgs/intro3.png) | ![Demo](./.github/imgs/intro4.png) |
## 💡 Features
1. Powerful visual orchestration for easy AI application building
- [x] Provides a simple mode without the need for orchestration operations
- [x] User dialogue pre-guidance
- [x] Global variables
- [x] Knowledge base search
- [x] Multi-LLM model dialogue
- [x] Extraction of text content into structured data
- [x] HTTP extension
- [ ] Sandbox JS runtime module
- [ ] Continuous dialogue guidance
- [ ] Dialogue multi-path selection
- [ ] Source file reference tracking
2. Rich knowledge base preprocessing
- [x] Multiple library reuse and mixing
- [x] Chunk record modification and deletion
- [x] Supports direct segment import
- [x] Supports QA split import
- [x] Supports manual input content
- [ ] Supports URL import reading
- [x] Supports batch import of Q&A pairs in CSV format
- [ ] Supports separate vector model settings for knowledge bases
- [ ] Source file storage
3. Multiple effect testing channels
- [x] Knowledge base single point search testing
- [x] Feedback references and ability to modify and delete during dialogue
- [x] Complete context presentation
- [ ] Complete module intermediate value presentation
4. OpenAPI
- [x] completions interface (aligned with GPT interface)
- [ ] Knowledge base CRUD
5. Operational functions
- [x] Login-free sharing window
- [x] One-click embedding with Iframe
- [ ] Unified access to dialogue records
## 👨‍💻 Development
Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
- [Getting Started with Local Development](https://doc.fastgpt.run/docs/development)
- [Deploying FastGPT](https://doc.fastgpt.run/docs/installation)
- [System Configuration File Explanation](https://doc.fastgpt.run/docs/installation/reference)
- [Multi-model Configuration](https://doc.fastgpt.run/docs/installation/reference/models)
- [V3 Upgrade V4 Initialization](https://doc.fastgpt.run/docs/installation/upgrading)
<!-- ## :point_right: RoadMap
- [FastGPT RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte) -->
<!-- ## 🏘️ Community
| Community Group | Assistant |
| ------------------------------------------------- | ---------------------------------------------- |
| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) | -->
## 👀 Others
- [FastGPT FAQ](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
- [Docker Deployment Tutorial Video](https://www.bilibili.com/video/BV1jo4y147fT/)
- [Official Account Integration Video Tutorial](https://www.bilibili.com/video/BV1xh4y1t7fy/)
- [FastGPT Knowledge Base Demo](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
## 💪 Related Projects
- [Laf: 3-minute quick access to third-party applications](https://github.com/labring/laf)
- [Sealos: Rapid deployment of cluster applications](https://github.com/labring/sealos)
- [One API: Multi-model management, supports Azure, Wenxin Yiyuan, etc.](https://github.com/songquanpeng/one-api)
- [TuShan: Build a backend management system in 5 minutes](https://github.com/msgbyte/tushan)
## 🤝 Third-party Ecosystem
- [luolinAI: Enterprise WeChat bot, ready to use](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
## 🌟 Star History
[![Star History Chart](https://api.star-history.com/svg?repos=labring/FastGPT&type=Date)](https://star-history.com/#labring/FastGPT&Date)

View File

@@ -1,11 +0,0 @@
Dockerfile
.dockerignore
node_modules
npm-debug.log
README.md
.git
.yalc/
yalc.lock
testApi/
node_modules

View File

@@ -1,8 +0,0 @@
MONGODB_URI=mongodb://username:psw@0.0.0.0:27017/?authSource=admin
MONGODB_NAME=fastgpt
ADMIN_USER=username
ADMIN_PASS=password
ADMIN_SECRET=any
PARENT_URL=http://localhost:3000 # FastGpt服务的地址
PARENT_ROOT_KEY=rootkey # FastGpt 的rootkey
VITE_PUBLIC_SERVER_URL=http://localhost:3001 # 和server.js一致

1
admin/.gitignore vendored
View File

@@ -1 +0,0 @@
node_modules/

View File

@@ -1,48 +0,0 @@
# Install dependencies only when needed
FROM node:current-alpine AS builder
RUN npm config set registry https://registry.npmmirror.com/
RUN apk add --no-cache libc6-compat && npm install -g pnpm
RUN pnpm config set registry https://registry.npmmirror.com/
WORKDIR /app
ENV NEXT_TELEMETRY_DISABLED 1
ENV VITE_PUBLIC_SERVER_URL ''
# Install dependencies based on the preferred package manager
COPY . .
RUN \
[ -f pnpm-lock.yaml ] && pnpm install || \
(echo "Lockfile not found." && exit 1)
RUN pnpm build
# Production image, copy all the files and run next
FROM node:current-alpine AS runner
WORKDIR /app
ENV NODE_ENV production
ENV NEXT_TELEMETRY_DISABLED 1
RUN addgroup --system --gid 1001 nodejs
RUN adduser --system --uid 1001 nextjs
RUN sed -i 's/https/http/' /etc/apk/repositories
RUN apk add curl \
&& apk add ca-certificates \
&& update-ca-certificates
COPY package.json pnpm-lock.yaml* ./
COPY --from=builder /app/server.js ./server.js
COPY --from=builder /app/service ./service
COPY --from=builder /app/dist ./dist
RUN npm config set registry https://registry.npmmirror.com/
RUN npm install -g pnpm
RUN pnpm config set registry https://registry.npmmirror.com/
RUN pnpm install --prod
RUN npm remove -g pnpm
ENV PORT=3001
EXPOSE 3001
CMD ["node", "server.js"]

View File

@@ -1,201 +0,0 @@
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See the License for the specific language governing permissions and
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View File

@@ -1,43 +0,0 @@
# FastGpt Admin
## 项目原理
使用 [Tushan](https://tushan.msgbyte.com/) 项目做前端,然后构造了一个与 mongodb 做沟通的 API 做后端,可以做到创建、修改和删除用户
## 开发
1. `cp .env.template .env.local`: 复制 .env.template 文件,添加环境变量
2. `pnpm i`
3. `pnpm dev`
4. 打开 `http://localhost:5173/` 访问前端页面
## 部署
1. 本地打包
`docker build -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest . --network host --build-arg HTTP_PROXY=http://127.0.0.1:7890 --build-arg HTTPS_PROXY=http://127.0.0.1:7890`
2. 直接拉镜像: `registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest`
3. 部署时候填写环境变量: 数据库同 FastGpt 一致
```
MONGODB_URI=mongodb://username:psw@0.0.0.0:27017/?authSource=admin
MONGODB_NAME=fastgpt
ADMIN_USER=username
ADMIN_PASS=password
ADMIN_SECRET=any
PARENT_URL=http://localhost:3000
PARENT_ROOT_KEY=rootkey
```
## sealos 部署
1. 进入 sealos 官网: https://cloud.sealos.io/
2. 打开 App Launchpad(应用管理) 工具
3. 新建应用
1. 镜像名: `registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest`
2. 容器端口: 3001
3. 环境变量: 参考上面
4. 打开外网访问开关
4. 点击部署。 完成后大约等待 1 分钟,
5. 点击 sealos 提供的外网访问地址,可以直接访问。

View File

@@ -1,13 +0,0 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<link rel="icon" type="image/svg+xml" href="/logo.svg" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Fast GPT</title>
</head>
<body>
<div id="root"></div>
<script type="module" src="/src/main.tsx"></script>
</body>
</html>

View File

@@ -1,42 +0,0 @@
{
"name": "kbgpt-deafult",
"private": true,
"version": "0.0.0",
"type": "module",
"author": "anonymous",
"scripts": {
"dev": "concurrently \"vite\" \"npm run start:api\"",
"build": "tsc && vite build",
"preview": "vite preview",
"start:api": "nodemon server.js"
},
"dependencies": {
"@arco-design/web-react": "^2.49.1",
"concurrently": "^8.1.0",
"cors": "^2.8.5",
"crypto": "^1.0.1",
"dayjs": "^1.11.8",
"dotenv": "^16.1.4",
"express": "^4.18.2",
"jsonwebtoken": "^9.0.0",
"mongoose": "^7.2.2",
"nodemon": "^2.0.22",
"react": "^18.2.0",
"react-admin": "^4.11.0",
"react-dom": "^18.2.0",
"react-i18next": "^12.3.1",
"tushan": "^0.3.1"
},
"devDependencies": {
"@types/jsonexport": "^3.0.2",
"@types/lodash-es": "^4.17.7",
"@types/node": "^20.2.5",
"@types/react": "^18.0.28",
"@types/react-dom": "^18.0.11",
"@types/react-helmet": "^6.1.6",
"@types/styled-components": "^5.1.26",
"@vitejs/plugin-react": "^3.1.0",
"typescript": "^4.9.2",
"vite": "^4.2.1"
}
}

5553
admin/pnpm-lock.yaml generated

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@@ -1,10 +0,0 @@
<svg width="512" height="512" viewBox="0 0 512 512" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M28 88L49.5 57L118.5 29.5L248 51L323.5 122.5L360.5 324L301 421.5L164.5 412.5L118.5 324L127.5 225.5L143.5 184.5L151.5 130.5L127.5 95L82.5 80L49.5 95L28 88Z" fill="#DFDFDF"/>
<path d="M144.734 22.04C139.186 22.0047 133.638 22.1568 128.1 22.496C84.33 25.196 40.5 49 24.238 67.492C7.97598 85.984 4 91.601 4 91.601C4 91.601 34.922 98.392 57 97.5C79.078 96.608 111.355 88.82 127.692 104.564C144.032 120.309 151.428 146.017 135.232 175.709C116.062 210.852 102.516 271.862 115.086 332.235C127.656 392.609 168.054 451.995 254.814 478.007C288.29 488.043 333.639 494.757 376.459 485.673C420.966 476.885 472.309 450.915 483.351 422.563C474.101 431.448 463.911 437.703 453.149 442.353C471.455 421.433 484.884 392.621 489.939 354.179L492.469 334.939L476.147 345.435C465.644 352.19 455.562 358.838 446.054 363.831C448.692 357.959 451.092 350.611 453.784 341.054C442.687 356.244 430.054 366.409 415.186 372.526C405.952 372.023 396.833 367.659 385.976 356.429C374.618 344.682 367.856 324.334 363.513 298.763C359.169 273.191 357.053 242.836 352.845 211.886C344.425 149.984 326.933 84.013 263.105 50.851C226.15 31.651 184.013 22.274 144.733 22.038L144.734 22.04ZM144.611 40.05C181.073 40.305 220.721 49.115 254.808 66.824C311.201 96.124 326.802 153.964 335.011 214.312C339.115 244.487 341.197 274.866 345.769 301.777C347.085 309.53 348.604 317.019 350.462 324.162C335.014 324.202 323.208 315.855 308.758 299.445C316.143 329.855 320.748 335.979 334.463 354.995C306.243 346.76 273.823 320.255 253.513 290.932C250.239 330.979 273.736 362.506 286.788 374.862C261.612 360.666 226.075 333.326 202.165 286.207C201.149 327.633 214.095 373.939 238.615 402.672C204.1 391.136 173.645 303.2 153.195 275.039C140.155 308.256 150.247 364.124 169.267 405.161C149.639 382.323 138.38 355.786 132.712 328.565C121.188 273.223 134.462 214.718 151.037 184.327C170.587 148.485 161.952 112.577 140.187 91.601C118.419 70.625 66 81 53.633 83.286C41.266 85.572 31 83.286 31 83.286C31 83.286 41.3371 75.1684 48 70C74.6656 49.3155 88.786 42.954 129.211 40.461C134.263 40.149 139.406 40.011 144.614 40.047L144.611 40.05Z" fill="url(#paint0_linear_1104_3)"/>
<defs>
<linearGradient id="paint0_linear_1104_3" x1="384.5" y1="480" x2="256" y2="256" gradientUnits="userSpaceOnUse">
<stop stop-color="#FF6011"/>
<stop offset="1" stop-color="#FF9411"/>
</linearGradient>
</defs>
</svg>

Before

Width:  |  Height:  |  Size: 2.4 KiB

View File

@@ -1,37 +0,0 @@
import express from 'express';
import cors from 'cors';
import { useUserRoute } from './service/route/user.js';
import { useAppRoute } from './service/route/app.js';
import { useKbRoute } from './service/route/kb.js';
import { useSystemRoute } from './service/route/system.js';
const app = express();
app.use(cors());
app.use(express.json());
app.use(express.static('dist'));
useUserRoute(app);
useAppRoute(app);
useKbRoute(app);
useSystemRoute(app);
app.get('/*', (req, res) => {
try {
res.sendFile(new URL('dist/index.html', import.meta.url).pathname);
} catch (error) {
res.end();
}
});
app.use((err, req, res, next) => {
try {
res.sendFile(new URL('dist/index.html', import.meta.url).pathname);
} catch (error) {
res.end();
}
});
const PORT = process.env.PORT || 3001;
app.listen(PORT, () => {
console.log(`Server is running on port ${PORT}`);
});

View File

@@ -1,86 +0,0 @@
import { App, Kb } from '../schema.js';
import { auth } from './system.js';
export const useAppRoute = (app) => {
// 获取AI助手列表
app.get('/apps', auth(), async (req, res) => {
try {
const start = parseInt(req.query._start) || 0;
const end = parseInt(req.query._end) || 20;
const order = req.query._order === 'DESC' ? -1 : 1;
const sort = req.query._sort;
const name = req.query.name || '';
const id = req.query.id || '';
const where = {
...(name && { name: { $regex: name, $options: 'i' } }),
...(id && { _id: id })
};
const modelsRaw = await App.find(where)
.skip(start)
.limit(end - start)
.sort({ [sort]: order, 'share.isShare': -1, 'share.collection': -1 });
const models = [];
for (const modelRaw of modelsRaw) {
const app = modelRaw.toObject();
// 获取与模型关联的知识库名称
const kbNames = [];
for (const kbId of app.chat.relatedKbs) {
const kb = await Kb.findById(kbId);
kbNames.push(kb.name);
}
const orderedModel = {
id: app._id.toString(),
userId: app.userId,
name: app.name,
intro: app.intro,
relatedKbs: kbNames, // 将relatedKbs的id转换为相应的Kb名称
systemPrompt: app.chat?.systemPrompt || '',
temperature: app.chat?.temperature || 0,
'share.topNum': app.share?.topNum || 0,
'share.isShare': app.share?.isShare || false,
'share.collection': app.share?.collection || 0
};
models.push(orderedModel);
}
const totalCount = await App.countDocuments(where);
res.header('Access-Control-Expose-Headers', 'X-Total-Count');
res.header('X-Total-Count', totalCount);
res.json(models);
} catch (err) {
console.log(`Error fetching models: ${err}`);
res.status(500).json({ error: 'Error fetching models', details: err.message });
}
});
// 修改 app 信息
app.put('/apps/:id', auth(), async (req, res) => {
try {
const _id = req.params.id;
let {
share: { isShare, topNum },
intro
} = req.body;
await App.findByIdAndUpdate(_id, {
$set: {
intro: intro,
'share.topNum': Number(topNum),
'share.isShare': isShare === 'true' || isShare === true
}
});
res.json({});
} catch (err) {
console.log(`Error updating user: ${err}`);
res.status(500).json({ error: 'Error updating user' });
}
});
};

View File

@@ -1,57 +0,0 @@
import { Kb } from '../schema.js';
import { auth } from './system.js';
export const useKbRoute = (app) => {
// 获取用户知识库列表
app.get('/kbs', auth(), async (req, res) => {
try {
const start = parseInt(req.query._start) || 0;
const end = parseInt(req.query._end) || 20;
const order = req.query._order === 'DESC' ? -1 : 1;
const sort = req.query._sort || '_id';
const tag = req.query.tag || '';
const name = req.query.name || '';
const where = {
...(name
? {
name: { $regex: name, $options: 'i' }
}
: {}),
...(tag
? {
tags: { $elemMatch: { $regex: tag, $options: 'i' } }
}
: {})
};
const kbsRaw = await Kb.find(where)
.skip(start)
.limit(end - start)
.sort({ [sort]: order });
const kbs = [];
for (const kbRaw of kbsRaw) {
const kb = kbRaw.toObject();
const orderedKb = {
id: kb._id.toString(),
userId: kb.userId,
name: kb.name,
tags: kb.tags,
avatar: kb.avatar
};
kbs.push(orderedKb);
}
const totalCount = await Kb.countDocuments(where);
res.header('Access-Control-Expose-Headers', 'X-Total-Count');
res.header('X-Total-Count', totalCount);
res.json(kbs);
} catch (err) {
console.log(`Error fetching kbs: ${err}`);
res.status(500).json({ error: 'Error fetching kbs', details: err.message });
}
});
};

View File

@@ -1,76 +0,0 @@
import jwt from 'jsonwebtoken';
import { System } from '../schema.js';
const adminAuth = {
username: process.env.ADMIN_USER,
password: process.env.ADMIN_PASS
};
const authSecret = process.env.ADMIN_SECRET;
const postParent = () => {
fetch(`${process.env.PARENT_URL}/api/system/updateEnv`, {
headers: {
rootkey: process.env.PARENT_ROOT_KEY
}
});
};
export const useSystemRoute = (app) => {
app.post('/api/login', (req, res) => {
if (!adminAuth.username || !adminAuth.password) {
res.status(401).end('Server not set env: ADMIN_USER, ADMIN_PASS');
return;
}
const { username, password } = req.body;
if (username === adminAuth.username && password === adminAuth.password) {
// 用户名和密码都正确返回token
const token = jwt.sign(
{
username,
platform: 'admin'
},
authSecret,
{
expiresIn: '2h'
}
);
res.json({
username,
token: token,
expiredAt: new Date().valueOf() + 2 * 60 * 60 * 1000
});
} else {
res.status(401).end('username or password incorrect');
}
});
};
export const auth = () => {
return (req, res, next) => {
try {
const authorization = req.headers.authorization;
if (!authorization) {
return next(new Error('unAuthorization'));
}
const token = authorization.slice('Bearer '.length);
const payload = jwt.verify(token, authSecret);
if (typeof payload === 'string') {
res.status(401).end('payload type error');
return;
}
if (payload.platform !== 'admin') {
res.status(401).end('Payload invalid');
return;
}
next();
} catch (err) {
res.status(401).end(String(err));
}
};
};

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@@ -1,242 +0,0 @@
import { User, Pay } from '../schema.js';
import dayjs from 'dayjs';
import { auth } from './system.js';
import crypto from 'crypto';
export const PRICE_SCALE = 100000;
export const formatPrice = (val = 0, multiple = 1) => {
return Number(((val / PRICE_SCALE) * multiple).toFixed(10));
};
// 加密
const hashPassword = (psw) => {
return crypto.createHash('sha256').update(psw).digest('hex');
};
const day = 60;
export const useUserRoute = (app) => {
// 统计近 30 天注册用户数量
app.get('/users/data', auth(), async (req, res) => {
try {
let startCount = await User.countDocuments({
createTime: { $lt: new Date(Date.now() - day * 24 * 60 * 60 * 1000) }
});
const usersRaw = await User.aggregate([
{ $match: { createTime: { $gte: new Date(Date.now() - day * 24 * 60 * 60 * 1000) } } },
{
$group: {
_id: {
year: { $year: '$createTime' },
month: { $month: '$createTime' },
day: { $dayOfMonth: '$createTime' }
},
count: { $sum: 1 }
}
},
{
$project: {
_id: 0,
date: { $dateFromParts: { year: '$_id.year', month: '$_id.month', day: '$_id.day' } },
count: 1
}
},
{ $sort: { date: 1 } }
]);
const countResult = usersRaw.map((item) => {
const increaseRate = `${((item.count / startCount) * 100).toFixed(2)}%`;
startCount += item.count;
return {
date: item.date,
count: startCount,
increase: item.count,
increaseRate
};
});
res.json(countResult);
} catch (err) {
console.log(`Error fetching users: ${err}`);
res.status(500).json({ error: 'Error fetching users' });
}
});
// 获取用户列表
app.get('/users', auth(), async (req, res) => {
try {
const start = parseInt(req.query._start) || 0;
const end = parseInt(req.query._end) || 20;
const order = req.query._order === 'DESC' ? -1 : 1;
const sort = req.query._sort || 'createTime';
const username = req.query.username || '';
const where = {
username: { $regex: username, $options: 'i' }
};
const usersRaw = await User.find(where)
.skip(start)
.limit(end - start)
.sort({ [sort]: order });
const users = usersRaw.map((user) => {
const obj = user.toObject();
return {
...obj,
id: obj._id,
balance: formatPrice(obj.balance),
createTime: dayjs(obj.createTime).format('YYYY/MM/DD HH:mm'),
password: ''
};
});
const totalCount = await User.countDocuments(where);
res.header('Access-Control-Expose-Headers', 'X-Total-Count');
res.header('X-Total-Count', totalCount);
res.json(users);
} catch (err) {
console.log(`Error fetching users: ${err}`);
res.status(500).json({ error: 'Error fetching users' });
}
});
// 创建用户
app.post('/users', auth(), async (req, res) => {
try {
const { username, password, balance } = req.body;
if (!username || !password || !balance) {
return res.status(400).json({ error: 'Invalid user information' });
}
const existingUser = await User.findOne({ username });
if (existingUser) {
return res.status(400).json({ error: 'Username already exists' });
}
const result = await User.create({
username,
password: hashPassword(hashPassword(password)),
balance: balance * PRICE_SCALE
});
res.json(result);
} catch (err) {
console.log(`Error creating user: ${err}`);
res.status(500).json({ error: 'Error creating user' });
}
});
// 修改用户信息
app.put('/users/:id', auth(), async (req, res) => {
try {
const _id = req.params.id;
let { username, password, balance = 0 } = req.body;
const result = await User.findByIdAndUpdate(_id, {
...(username && { username }),
...(password && { password: hashPassword(hashPassword(password)) }),
...(balance && { balance: balance * PRICE_SCALE })
});
res.json(result);
} catch (err) {
console.log(`Error updating user: ${err}`);
res.status(500).json({ error: 'Error updating user' });
}
});
// 新增: 获取 pays 列表
app.get('/pays', auth(), async (req, res) => {
try {
const start = parseInt(req.query._start) || 0;
const end = parseInt(req.query._end) || 20;
const order = req.query._order === 'DESC' ? -1 : 1;
const sort = req.query._sort || '_id';
const userId = req.query.userId || '';
const where = userId ? { userId: userId } : {};
const paysRaw = await Pay.find({
...where
})
.skip(start)
.limit(end - start)
.sort({ [sort]: order });
const pays = [];
for (const payRaw of paysRaw) {
const pay = payRaw.toObject();
const orderedPay = {
id: pay._id.toString(),
userId: pay.userId,
price: pay.price,
orderId: pay.orderId,
status: pay.status,
createTime: dayjs(pay.createTime).format('YYYY/MM/DD HH:mm')
};
pays.push(orderedPay);
}
const totalCount = await Pay.countDocuments({
...where
});
res.header('Access-Control-Expose-Headers', 'X-Total-Count');
res.header('X-Total-Count', totalCount);
res.json(pays);
} catch (err) {
console.log(`Error fetching pays: ${err}`);
res.status(500).json({ error: 'Error fetching pays', details: err.message });
}
});
// 获取本月账单
app.get('/pays/data', auth(), async (req, res) => {
try {
let startCount = 0;
const paysRaw = await Pay.aggregate([
{
$match: {
status: 'SUCCESS',
createTime: {
$gte: new Date(Date.now() - day * 24 * 60 * 60 * 1000 + 8 * 60 * 60 * 1000) // 补时差
}
}
},
{
$addFields: {
adjustedCreateTime: { $add: ['$createTime', 8 * 60 * 60 * 1000] }
}
},
{
$group: {
_id: {
year: { $year: '$adjustedCreateTime' },
month: { $month: '$adjustedCreateTime' },
day: { $dayOfMonth: '$adjustedCreateTime' }
},
count: { $sum: '$price' }
}
},
{
$project: {
_id: 0,
date: { $dateFromParts: { year: '$_id.year', month: '$_id.month', day: '$_id.day' } },
count: 1
}
},
{ $sort: { date: 1 } }
]);
const countResult = paysRaw.map((item) => {
startCount += item.count;
return {
date: item.date,
total: startCount,
count: item.count
};
});
res.json(countResult);
} catch (err) {
console.log(`Error fetching users: ${err}`);
res.status(500).json({ error: 'Error fetching users' });
}
});
};

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@@ -1,121 +0,0 @@
import mongoose from 'mongoose';
import dotenv from 'dotenv';
dotenv.config({ path: '.env.local' });
const mongoUrl = process.env.MONGODB_URI;
const mongoDBName = process.env.MONGODB_NAME;
if (!mongoUrl || !mongoDBName) {
throw new Error('db error');
}
mongoose
.connect(mongoUrl, {
dbName: mongoDBName,
bufferCommands: true,
maxPoolSize: 5,
minPoolSize: 1,
maxConnecting: 5
})
.then(() => console.log('Connected to MongoDB successfully!'))
.catch((err) => console.log(`Error connecting to MongoDB: ${err}`));
const UserSchema = new mongoose.Schema({
username: {
type: String,
required: true,
unique: true
},
password: {
type: String,
required: true,
select: false
},
createTime: {
type: Date,
default: () => new Date()
},
avatar: {
type: String,
default: '/icon/human.png'
},
balance: {
type: Number,
default: 0
},
limit: {
exportKbTime: {
// Every half hour
type: Date
}
}
});
// 新增: 定义 pays 模型
const paySchema = new mongoose.Schema({
userId: mongoose.Schema.Types.ObjectId,
price: Number,
orderId: String,
status: String,
createTime: Date,
__v: Number
});
// 新增: 定义 kb 模型
const kbSchema = new mongoose.Schema({
userId: mongoose.Schema.Types.ObjectId,
avatar: String,
name: String,
tags: [String],
updateTime: Date,
__v: Number
});
const appSchema = new mongoose.Schema({
userId: mongoose.Schema.Types.ObjectId,
name: String,
avatar: String,
status: String,
intro: String,
share: {
topNum: Number,
isShare: Boolean,
isShareDetail: Boolean,
intro: String,
collection: Number
},
security: {
domain: [String],
contextMaxLen: Number,
contentMaxLen: Number,
expiredTime: Number,
maxLoadAmount: Number
},
updateTime: Date
});
const SystemSchema = new mongoose.Schema({
vectorMaxProcess: {
type: Number,
default: 10
},
qaMaxProcess: {
type: Number,
default: 10
},
pgIvfflatProbe: {
type: Number,
default: 10
},
sensitiveCheck: {
type: Boolean,
default: false
}
});
export const App = mongoose.models['model'] || mongoose.model('model', appSchema);
export const Kb = mongoose.models['kb'] || mongoose.model('kb', kbSchema);
export const User = mongoose.models['user'] || mongoose.model('user', UserSchema);
export const Pay = mongoose.models['pay'] || mongoose.model('pay', paySchema);
export const System = mongoose.models['system'] || mongoose.model('system', SystemSchema);

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@@ -1,129 +0,0 @@
import {
createTextField,
jsonServerProvider,
ListTable,
Resource,
Tushan,
fetchJSON,
TushanContextProps,
HTTPClient
} from 'tushan';
import { authProvider } from './auth';
import { userFields, payFields, kbFields, AppFields } from './fields';
import { Dashboard } from './Dashboard';
import { IconUser, IconApps, IconBook, IconStamp } from 'tushan/icon';
import { i18nZhTranslation } from 'tushan/client/i18n/resources/zh';
const authStorageKey = 'tushan:auth';
const httpClient: HTTPClient = (url, options = {}) => {
try {
if (!options.headers) {
options.headers = new Headers({ Accept: 'application/json' });
}
const { token } = JSON.parse(window.localStorage.getItem(authStorageKey) ?? '{}');
(options.headers as Headers).set('Authorization', `Bearer ${token}`);
return fetchJSON(url, options);
} catch (err) {
return Promise.reject();
}
};
const dataProvider = jsonServerProvider(import.meta.env.VITE_PUBLIC_SERVER_URL, httpClient);
const i18n: TushanContextProps['i18n'] = {
languages: [
{
key: 'zh',
label: '简体中文',
translation: i18nZhTranslation
}
]
};
function App() {
return (
<Tushan
basename="/"
header={'FastGpt-Admin'}
i18n={i18n}
dataProvider={dataProvider}
authProvider={authProvider}
dashboard={<Dashboard />}
>
<Resource
name="users"
label="用户信息"
icon={<IconUser />}
list={
<ListTable
filter={[
createTextField('username', {
label: 'username'
})
]}
fields={userFields}
action={{ create: true, detail: true, edit: true }}
/>
}
/>
<Resource
name="apps"
icon={<IconApps />}
label="应用"
list={
<ListTable
filter={[
createTextField('id', {
label: 'id'
}),
createTextField('name', {
label: 'name'
})
]}
fields={AppFields}
action={{ detail: true, edit: true }}
/>
}
/>
<Resource
name="pays"
label="支付记录"
icon={<IconStamp />}
list={
<ListTable
filter={[
createTextField('userId', {
label: 'userId'
})
]}
fields={payFields}
action={{ detail: true }}
/>
}
/>
<Resource
name="kbs"
label="知识库"
icon={<IconBook />}
list={
<ListTable
filter={[
createTextField('name', {
label: 'name'
}),
createTextField('tag', {
label: 'tag'
})
]}
fields={kbFields}
action={{ detail: true }}
/>
}
/>
</Tushan>
);
}
export default App;

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@@ -1,273 +0,0 @@
import { Card, Link, Space, Grid, Divider, Typography } from '@arco-design/web-react';
import { IconApps, IconUser, IconUserGroup } from 'tushan/icon';
import React, { useState, useEffect } from 'react';
import { useTranslation } from 'react-i18next';
import {
XAxis,
YAxis,
CartesianGrid,
Tooltip,
ResponsiveContainer,
AreaChart,
Area
} from 'tushan/chart';
import dayjs from 'dayjs';
const authStorageKey = 'tushan:auth';
const PRICE_SCALE = 100000;
type fetchChatData = {
count: number;
total?: number;
date: string;
increase?: number;
increaseRate?: string;
};
type chatDataType = {
date: string;
userCount: number;
userIncrease?: number;
userIncreaseRate?: string;
payTotal: number;
payCount: number;
};
export const Dashboard: React.FC = React.memo(() => {
const [userCount, setUserCount] = useState(0); //用户数量
const [kbCount, setkbCount] = useState(0);
const [modelCount, setmodelCount] = useState(0);
const [chatData, setChatData] = useState<chatDataType[]>([]);
useEffect(() => {
const baseUrl = import.meta.env.VITE_PUBLIC_SERVER_URL;
const { token } = JSON.parse(window.localStorage.getItem(authStorageKey) ?? '{}');
const headers = {
'Content-Type': 'application/json',
Authorization: `Bearer ${token}`
};
const fetchCounts = async () => {
const userResponse = await fetch(`${baseUrl}/users?_end=1`, {
headers
});
const kbResponse = await fetch(`${baseUrl}/kbs?_end=1`, {
headers
});
const modelResponse = await fetch(`${baseUrl}/models?_end=1`, {
headers
});
const userTotalCount = userResponse.headers.get('X-Total-Count');
const kbTotalCount = kbResponse.headers.get('X-Total-Count');
const modelTotalCount = modelResponse.headers.get('X-Total-Count');
if (userTotalCount) {
setUserCount(Number(userTotalCount));
}
if (kbTotalCount) {
setkbCount(Number(kbTotalCount));
}
if (modelTotalCount) {
setmodelCount(Number(modelTotalCount));
}
};
const fetchChatData = async () => {
const [userResponse, payResponse]: fetchChatData[][] = await Promise.all([
fetch(`${baseUrl}/users/data`, {
headers
}).then((res) => res.json()),
fetch(`${baseUrl}/pays/data`, {
headers
}).then((res) => res.json())
]);
const data = userResponse.map((item, i) => {
const pay = payResponse.find((pay) => item.date === pay.date);
return {
date: dayjs(item.date).format('MM/DD'),
userCount: item.count,
userIncrease: item.increase,
userIncreaseRate: item.increaseRate,
payCount: pay ? pay.count / PRICE_SCALE : 0,
payTotal: pay?.total ? pay.total / PRICE_SCALE : 0
};
});
setChatData(data);
};
fetchCounts();
fetchChatData();
}, []);
return (
<div>
<div>
<Space direction="vertical" style={{ width: '100%' }}>
<Card bordered={false}>
<Typography.Title heading={5}>FastGpt Admin</Typography.Title>
<Divider />
<Grid.Row justify="center">
<Grid.Col flex={1} style={{ paddingLeft: '1rem' }}>
{/* 把 userCount 传递给 DataItem 组件 */}
<DataItem icon={<IconUser />} title={'用户'} count={userCount} />
</Grid.Col>
<Divider type="vertical" style={{ height: 40 }} />
<Grid.Col flex={1} style={{ paddingLeft: '1rem' }}>
<DataItem icon={<IconUserGroup />} title={'知识库'} count={kbCount} />
</Grid.Col>
<Divider type="vertical" style={{ height: 40 }} />
<Grid.Col flex={1} style={{ paddingLeft: '1rem' }}>
<DataItem icon={<IconApps />} title={'应用'} count={modelCount} />
</Grid.Col>
</Grid.Row>
<Divider />
<div>
<strong> & </strong>
<UserChart data={chatData} />
</div>
<Divider />
</Card>
</Space>
</div>
</div>
);
});
Dashboard.displayName = 'Dashboard';
const DashboardItem = React.memo(
(props: { title: string; href?: string; children: React.ReactNode }) => {
const { t } = useTranslation();
return (
<Card
title={props.title}
extra={
props.href && (
<Link target="_blank" href={props.href}>
{t('tushan.dashboard.more')}
</Link>
)
}
bordered={false}
style={{ overflow: 'hidden' }}
>
{props.children}
</Card>
);
}
);
DashboardItem.displayName = 'DashboardItem';
const DataItem = React.memo((props: { icon: React.ReactElement; title: string; count: number }) => {
return (
<Space>
<div
style={{
fontSize: 20,
padding: '0.5rem',
borderRadius: '9999px',
border: '1px solid #ccc',
width: 24,
height: 24,
display: 'flex',
justifyContent: 'center',
alignItems: 'center'
}}
>
{props.icon}
</div>
<div>
<div style={{ fontWeight: 700 }}>{props.title}</div>
<div>{props.count}</div>
</div>
</Space>
);
});
DataItem.displayName = 'DataItem';
const CustomTooltip = ({ active, payload }: any) => {
const data = payload?.[0]?.payload as chatDataType;
if (active && data) {
return (
<div
style={{
background: 'white',
padding: '5px 8px',
borderRadius: '8px',
boxShadow: '2px 2px 5px rgba(0,0,0,0.2)'
}}
>
<p className="label">
: <strong>{data.date}</strong>
</p>
<p className="label">
: <strong>{data.userCount}</strong>
</p>
<p className="label">
: <strong>{data.userIncrease}</strong>
</p>
<p className="label">
: <strong>{data.payCount}</strong>
</p>
<p className="label">
60: <strong>{data.payTotal}</strong>
</p>
</div>
);
}
return null;
};
const UserChart = ({ data }: { data: chatDataType[] }) => {
return (
<ResponsiveContainer width="100%" height={320}>
<AreaChart
width={730}
height={250}
data={data}
margin={{ top: 10, right: 30, left: 0, bottom: 0 }}
>
<defs>
<linearGradient id="userCount" x1="0" y1="0" x2="0" y2="1">
<stop offset="5%" stopColor="#82ca9d" stopOpacity={0.8} />
<stop offset="95%" stopColor="#82ca9d" stopOpacity={0} />
</linearGradient>
<linearGradient id="payTotal" x1="0" y1="0" x2="0" y2="1">
<stop offset="5%" stopColor="#8884d8" stopOpacity={0.8} />
<stop offset="95%" stopColor="#8884d8" stopOpacity={0} />
</linearGradient>
</defs>
<XAxis dataKey="date" />
<YAxis />
<CartesianGrid strokeDasharray="3 3" />
<Tooltip content={<CustomTooltip />} />
<Area
type="monotone"
dataKey="userCount"
stroke="#82ca9d"
fillOpacity={1}
fill="url(#userCount)"
/>
<Area
type="monotone"
dataKey="payTotal"
stroke="#8884d8"
fillOpacity={1}
fill="url(#payTotal)"
/>
</AreaChart>
</ResponsiveContainer>
);
};

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@@ -1,5 +0,0 @@
import { createAuthProvider, type AuthProvider } from 'tushan';
export const authProvider: AuthProvider = createAuthProvider({
loginUrl: `${import.meta.env.VITE_PUBLIC_SERVER_URL}/api/login`
});

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@@ -1,49 +0,0 @@
import { createTextField, createNumberField } from 'tushan';
export const userFields = [
createTextField('id', { label: 'ID' }),
createTextField('username', { label: '用户名' }),
createNumberField('balance', { label: '余额(元)', list: { sort: true } }),
createTextField('createTime', {
label: '创建时间',
list: { sort: true },
edit: { hidden: true }
}),
createTextField('password', { label: '密码', list: { hidden: true } })
];
export const payFields = [
createTextField('id', { label: 'ID' }),
createTextField('userId', { label: '用户Id' }),
createNumberField('price', { label: '支付金额' }),
createTextField('orderId', { label: 'orderId' }),
createTextField('status', { label: '状态' }),
createTextField('createTime', { label: '创建时间', list: { sort: true } })
];
export const kbFields = [
createTextField('id', { label: 'ID' }),
createTextField('userId', { label: '所属用户', edit: { hidden: true } }),
createTextField('name', { label: '知识库' }),
createTextField('tags', { label: 'Tags' })
];
export const AppFields = [
createTextField('id', { label: 'ID' }),
createTextField('userId', { label: '所属用户', list: { hidden: true }, edit: { hidden: true } }),
createTextField('name', { label: '名字' }),
createTextField('app', { label: '应用', edit: { hidden: true } }),
createTextField('share.collection', { label: '收藏数', list: { sort: true } }),
createTextField('share.topNum', { label: '置顶等级', list: { sort: true } }),
createTextField('share.isShare', { label: '是否分享(true,false)' }),
createTextField('intro', { label: '介绍', list: { width: 400 } }),
createTextField('relatedKbs', { label: '引用的知识库', list: { hidden: true } }),
createTextField('temperature', { label: '温度' }),
createTextField('systemPrompt', {
label: '提示词',
list: {
width: 400,
hidden: true
}
})
];

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@@ -1,5 +0,0 @@
import React from 'react';
import ReactDOM from 'react-dom/client';
import App from './App';
ReactDOM.createRoot(document.getElementById('root') as HTMLElement).render(<App />);

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@@ -1 +0,0 @@
/// <reference types="vite/client" />

View File

@@ -1,21 +0,0 @@
{
"compilerOptions": {
"target": "ESNext",
"useDefineForClassFields": true,
"lib": ["DOM", "DOM.Iterable", "ESNext"],
"allowJs": false,
"skipLibCheck": true,
"esModuleInterop": false,
"allowSyntheticDefaultImports": true,
"strict": true,
"forceConsistentCasingInFileNames": true,
"module": "ESNext",
"moduleResolution": "Node",
"resolveJsonModule": true,
"isolatedModules": true,
"noEmit": true,
"jsx": "react-jsx"
},
"include": ["src"],
"references": [{ "path": "./tsconfig.node.json" }]
}

View File

@@ -1,9 +0,0 @@
{
"compilerOptions": {
"composite": true,
"module": "ESNext",
"moduleResolution": "Node",
"allowSyntheticDefaultImports": true
},
"include": ["vite.config.ts"]
}

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import { defineConfig } from 'vite';
import react from '@vitejs/plugin-react';
// https://vitejs.dev/config/
export default defineConfig({
plugins: [react()],
});

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@@ -1,33 +0,0 @@
# 运行端口,如果不是 3000 口运行,需要改成其他的。注意:不是改了这个变量就会变成其他端口,而是因为改成其他端口,才用这个变量。
PORT=3000
# database max link
DB_MAX_LINK=5
# 代理
# AXIOS_PROXY_HOST=127.0.0.1
# AXIOS_PROXY_PORT=7890
# email
MY_MAIL=xxxx@qq.com
MAILE_CODE=xxxx
# ali ems
aliAccessKeyId=xxxx
aliAccessKeySecret=xxxx
aliSignName=xxxx
aliTemplateCode=xxxx
# token
TOKEN_KEY=dfdasfdas
# root key, 最高权限
ROOT_KEY=fdafasd
# 使用 oneapi
# ONEAPI_URL=https://xxxx.cloud.sealos.io/v1
# ONEAPI_KEY=sk-xxxx
# openai 的基本地址(国外的可以忽略,默认走 api.openai.com。不用 oneapi 的话需要下面 2 个参数,用户的 key 也会走下面的参数
OPENAI_BASE_URL=https://xxxx.cloud.sealos.io/openai/v1
OPENAIKEY=sk-xxxx
# db
MONGODB_URI=mongodb://username:password@0.0.0.0:27017/?authSource=admin
MONGODB_NAME=fastgpt
PG_HOST=0.0.0.0
PG_PORT=8100
PG_USER=root
PG_PASSWORD=psw
PG_DB_NAME=dbname

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@@ -1,61 +0,0 @@
# Install dependencies only when needed
FROM node:current-alpine AS deps
# Check https://github.com/nodejs/docker-node/tree/b4117f9333da4138b03a546ec926ef50a31506c3#nodealpine to understand why libc6-compat might be needed.
RUN apk add --no-cache libc6-compat && npm install -g pnpm
WORKDIR /app
# Install dependencies based on the preferred package manager
COPY package.json ./
COPY pnpm-lock.yaml* ./
RUN pnpm config set registry https://registry.npmmirror.com/
RUN \
[ -f pnpm-lock.yaml ] && pnpm install || \
(echo "Lockfile not found." && exit 1)
# Rebuild the source code only when needed
FROM node:current-alpine AS builder
WORKDIR /app
COPY --from=deps /app/node_modules ./node_modules
COPY . .
# Next.js collects completely anonymous telemetry data about general usage.
# Learn more here: https://nextjs.org/telemetry
# Uncomment the following line in case you want to disable telemetry during the build.
ENV NEXT_TELEMETRY_DISABLED 1
RUN npm install -g pnpm && pnpm run build
# Production image, copy all the files and run next
FROM node:current-alpine AS runner
WORKDIR /app
ENV NODE_ENV production
# Uncomment the following line in case you want to disable telemetry during runtime.
ENV NEXT_TELEMETRY_DISABLED 1
RUN addgroup --system --gid 1001 nodejs
RUN adduser --system --uid 1001 nextjs
RUN sed -i 's/https/http/' /etc/apk/repositories
RUN apk add curl \
&& apk add ca-certificates \
&& update-ca-certificates
# You only need to copy next.config.js if you are NOT using the default configuration
# COPY --from=builder /app/next.config.js ./
COPY --from=builder /app/public ./public
COPY --from=builder /app/package.json ./package.json
# COPY --from=builder /app/.env* .
# Automatically leverage output traces to reduce image size
# https://nextjs.org/docs/advanced-features/output-file-tracing
COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./
COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static
USER nextjs
ENV PORT=3000
EXPOSE 3000
CMD ["node", "server.js"]

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@@ -1,70 +0,0 @@
{
"FeConfig": {
"show_emptyChat": true,
"show_register": true,
"show_appStore": false,
"show_userDetail": true,
"show_git": true,
"systemTitle": "FastAI",
"authorText": "Made by FastAI Team."
},
"SystemParams": {
"beianText": "",
"baiduTongji": "",
"googleClientVerKey": "",
"googleServiceVerKey": "",
"vectorMaxProcess": 15,
"qaMaxProcess": 15,
"pgIvfflatProbe": 20,
"sensitiveCheck": false
},
"ChatModels": [
{
"model": "gpt-3.5-turbo",
"name": "FastAI-4k",
"contextMaxToken": 4000,
"quoteMaxToken": 2000,
"maxTemperature": 1.2,
"price": 1.5
},
{
"model": "gpt-3.5-turbo-16k",
"name": "FastAI-16k",
"contextMaxToken": 16000,
"quoteMaxToken": 8000,
"maxTemperature": 1.2,
"price": 3
},
{
"model": "ERNIE-Bot",
"name": "文心一言",
"contextMaxToken": 3000,
"quoteMaxToken": 1500,
"maxTemperature": 1,
"price": 1.2
},
{
"model": "gpt-4",
"name": "FastAI-Plus",
"contextMaxToken": 8000,
"quoteMaxToken": 4000,
"maxTemperature": 1.2,
"price": 45
}
],
"QAModels": [
{
"model": "gpt-3.5-turbo-16k",
"name": "FastAI-16k",
"maxToken": 16000,
"price": 3
}
],
"VectorModels": [
{
"model": "text-embedding-ada-002",
"name": "Embedding-2",
"price": 0.2
}
]
}

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/// <reference types="next" />
/// <reference types="next/image-types/global" />
// NOTE: This file should not be edited
// see https://nextjs.org/docs/basic-features/typescript for more information.

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@@ -1,22 +0,0 @@
### 常见问题
**一键部署**V4 版本未正式开源,目前仅提供一键部署方案:
[![](https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
**Git 地址**: [项目地址。V4-beta 暂未开源,在正式版发布后会开源。](https://github.com/labring/FastGPT)
**反馈问卷**: 如果你遇到任何使用问题或有期望的功能,可以[填写该问卷](https://www.wjx.cn/vm/rLIw1uD.aspx#)
**问题文档**: [先看文档,再提问](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
**价格表**
| 计费项 | 价格: 元/ 1K tokens包含上下文|
| --- | --- |
| 知识库 - 索引 | 0.002 |
| FastAI4k - 对话 | 0.015 |
| FastAI16k - 对话 | 0.03 |
| FastAI-Plus - 对话 | 0.45 |
| 文件拆分 | 0.03 |
**其他问题**
| 交流群 | 小助手 |
| ----------------------- | -------------------- |
| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |

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@@ -1,8 +0,0 @@
### Fast GPT V4.0-beta
1. 全新交互,增加采用模块组合的方式构建知识库,同时保留表单的简易模式。
2. 问题分类 - 可以对用户的问题进行分类,再执行不同的操作。
3. 对话引导 - 增加开场引导和变量,提高对话可玩性。
4. 新增 - 每轮对话均可展示完整的上下文状态。
5. 新增 - 网页嵌入(简单版),可直接接入现有网页。在 【应用详情-外部使用-创建新链接-嵌入网页】 中获取嵌入脚本。
6. 新增 - 个人 openai 账号可以使用网页上 OpenAI 对话模型。

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{
"App": "App",
"Cancel": "No",
"Confirm": "Yes",
"Warning": "Warning",
"app": {
"App Detail": "App Detail",
"Confirm Del App Tip": "Confirm to delete the app and all its chats",
"Confirm Save App Tip": "After saving, the advanced orchestration configuration will be overwritten. Make sure that the application does not use advanced orchestration.",
"Connection is invalid": "Connecting is invalid",
"Connection type is different": "Connection type is different",
"My Apps": "My Apps"
},
"chat": {
"Confirm to clear history": "Confirm to clear history?",
"Exit Chat": "Exit",
"History": "History",
"New Chat": "New Chat",
"You need to a chat app": "You need to a chat app"
},
"home": {
"Quickly build AI question and answer library": "Quickly build AI question and answer library",
"Start Now": "Start Now",
"Visual AI orchestration": "Visual AI orchestration"
},
"navbar": {
"Account": "Account",
"Apps": "Apps",
"Chat": "Chat",
"Datasets": "DataSets",
"Store": "Store",
"Tools": "Tools"
},
"user": {
"Bill Detail": "Bill Detail",
"Old password is error": "Old password is error",
"OpenAI Account Setting": "OpenAI Account Setting",
"Pay": "Pay",
"Set OpenAI Account Failed": "Set OpenAI account failed",
"Update Password": "Update Password",
"Update password failed": "Update password failed",
"Update password succseful": "Update password succseful"
}
}

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{
"App": "应用",
"Cancel": "取消",
"Confirm": "确认",
"Warning": "提示",
"app": {
"App Detail": "应用详情",
"Confirm Del App Tip": "确认删除该应用及其所有聊天记录?",
"Confirm Save App Tip": "保存后将会覆盖高级编排配置,请确保该应用未使用高级编排功能。",
"Connection is invalid": "连接无效",
"Connection type is different": "连接的类型不一致",
"My Apps": "我的应用"
},
"chat": {
"Confirm to clear history": "确认清空该应用的聊天记录?",
"Exit Chat": "退出聊天",
"History": "记录",
"New Chat": "新对话",
"You need to a chat app": "你需要创建一个应用"
},
"home": {
"Quickly build AI question and answer library": "快速搭建 AI 问答系统",
"Start Now": "立即开始",
"Visual AI orchestration": "可视化 AI 编排"
},
"navbar": {
"Account": "账号",
"Apps": "应用",
"Chat": "聊天",
"Datasets": "知识库",
"Store": "应用市场",
"Tools": "工具"
},
"user": {
"Bill Detail": "账单详情",
"Old password is error": "旧密码错误",
"OpenAI Account Setting": "OpenAI 账号配置",
"Pay": "充值",
"Set OpenAI Account Failed": "设置 OpenAI 账号异常",
"Update Password": "修改密码",
"Update password failed": "修改密码异常",
"Update password succseful": "修改密码成功"
}
}

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@@ -1,16 +0,0 @@
import { GET, POST, DELETE } from './request';
import { UserOpenApiKey } from '@/types/openapi';
/**
* crete a api key
*/
export const createAOpenApiKey = () => POST<string>('/openapi/postKey');
/**
* get api keys
*/
export const getOpenApiKeys = () => GET<UserOpenApiKey[]>('/openapi/getKeys');
/**
* delete api by id
*/
export const delOpenApiById = (id: string) => DELETE(`/openapi/delKey?id=${id}`);

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import { GET, POST, PUT, DELETE } from '../request';
import type { KbItemType, KbListItemType } from '@/types/plugin';
import { RequestPaging } from '@/types/index';
import { TrainingModeEnum } from '@/constants/plugin';
import {
Props as PushDataProps,
Response as PushDateResponse
} from '@/pages/api/openapi/kb/pushData';
import {
Props as SearchTestProps,
Response as SearchTestResponse
} from '@/pages/api/openapi/kb/searchTest';
import { Response as KbDataItemType } from '@/pages/api/plugins/kb/data/getDataById';
import { Props as UpdateDataProps } from '@/pages/api/openapi/kb/updateData';
export type KbUpdateParams = {
id: string;
name: string;
tags: string;
avatar: string;
};
/* knowledge base */
export const getKbList = () => GET<KbListItemType[]>(`/plugins/kb/list`);
export const getKbById = (id: string) => GET<KbItemType>(`/plugins/kb/detail?id=${id}`);
export const postCreateKb = (data: { name: string }) => POST<string>(`/plugins/kb/create`, data);
export const putKbById = (data: KbUpdateParams) => PUT(`/plugins/kb/update`, data);
export const delKbById = (id: string) => DELETE(`/plugins/kb/delete?id=${id}`);
/* kb data */
type GetKbDataListProps = RequestPaging & {
kbId: string;
searchText: string;
};
export const getKbDataList = (data: GetKbDataListProps) =>
POST(`/plugins/kb/data/getDataList`, data);
/**
* 获取导出数据(不分页)
*/
export const getExportDataList = (kbId: string) =>
GET<[string, string, string][]>(
`/plugins/kb/data/exportModelData`,
{ kbId },
{
timeout: 600000
}
);
/**
* 获取模型正在拆分数据的数量
*/
export const getTrainingData = (data: { kbId: string; init: boolean }) =>
POST<{
qaListLen: number;
vectorListLen: number;
}>(`/plugins/kb/data/getTrainingData`, data);
export const getKbDataItemById = (dataId: string) =>
GET<KbDataItemType>(`/plugins/kb/data/getDataById`, { dataId });
/**
* 直接push数据
*/
export const postKbDataFromList = (data: PushDataProps) =>
POST<PushDateResponse>(`/openapi/kb/pushData`, data);
/**
* 更新一条数据
*/
export const putKbDataById = (data: UpdateDataProps) => PUT('/openapi/kb/updateData', data);
/**
* 删除一条知识库数据
*/
export const delOneKbDataByDataId = (dataId: string) =>
DELETE(`/openapi/kb/delDataById?dataId=${dataId}`);
/**
* 拆分数据
*/
export const postSplitData = (data: {
kbId: string;
chunks: string[];
prompt: string;
mode: `${TrainingModeEnum}`;
}) => POST(`/openapi/text/pushData`, data);
export const searchText = (data: SearchTestProps) =>
POST<SearchTestResponse>(`/openapi/kb/searchTest`, data);

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@@ -1,143 +0,0 @@
import React, { useState } from 'react';
import {
Box,
Button,
Flex,
ModalFooter,
ModalBody,
Table,
Thead,
Tbody,
Tr,
Th,
Td,
TableContainer,
IconButton
} from '@chakra-ui/react';
import { getOpenApiKeys, createAOpenApiKey, delOpenApiById } from '@/api/openapi';
import { useQuery, useMutation } from '@tanstack/react-query';
import { useLoading } from '@/hooks/useLoading';
import dayjs from 'dayjs';
import { AddIcon, DeleteIcon } from '@chakra-ui/icons';
import { getErrText, useCopyData } from '@/utils/tools';
import { useToast } from '@/hooks/useToast';
import MyIcon from '../Icon';
import MyModal from '../MyModal';
const APIKeyModal = ({ onClose }: { onClose: () => void }) => {
const { Loading } = useLoading();
const { toast } = useToast();
const {
data: apiKeys = [],
isLoading: isGetting,
refetch
} = useQuery(['getOpenApiKeys'], getOpenApiKeys);
const [apiKey, setApiKey] = useState('');
const { copyData } = useCopyData();
const { mutate: onclickCreateApiKey, isLoading: isCreating } = useMutation({
mutationFn: () => createAOpenApiKey(),
onSuccess(res) {
setApiKey(res);
refetch();
},
onError(err) {
toast({
status: 'warning',
title: getErrText(err)
});
}
});
const { mutate: onclickRemove, isLoading: isDeleting } = useMutation({
mutationFn: async (id: string) => delOpenApiById(id),
onSuccess() {
refetch();
}
});
return (
<MyModal isOpen onClose={onClose} w={'600px'}>
<Box py={3} px={5}>
<Box fontWeight={'bold'} fontSize={'2xl'}>
API
</Box>
<Box fontSize={'sm'} color={'myGray.600'}>
API 使~
</Box>
</Box>
<ModalBody minH={'300px'} maxH={['70vh', '500px']} overflow={'overlay'}>
<TableContainer mt={2} position={'relative'}>
<Table>
<Thead>
<Tr>
<Th>Api Key</Th>
<Th></Th>
<Th>使</Th>
<Th />
</Tr>
</Thead>
<Tbody fontSize={'sm'}>
{apiKeys.map(({ id, apiKey, createTime, lastUsedTime }) => (
<Tr key={id}>
<Td>{apiKey}</Td>
<Td>{dayjs(createTime).format('YYYY/MM/DD HH:mm:ss')}</Td>
<Td>
{lastUsedTime
? dayjs(lastUsedTime).format('YYYY/MM/DD HH:mm:ss')
: '没有使用过'}
</Td>
<Td>
<IconButton
icon={<DeleteIcon />}
size={'xs'}
aria-label={'delete'}
variant={'base'}
colorScheme={'gray'}
onClick={() => onclickRemove(id)}
/>
</Td>
</Tr>
))}
</Tbody>
</Table>
</TableContainer>
</ModalBody>
<ModalFooter>
<Button
variant="base"
leftIcon={<AddIcon color={'myGray.600'} fontSize={'sm'} />}
onClick={() => onclickCreateApiKey()}
>
</Button>
</ModalFooter>
<Loading loading={isGetting || isCreating || isDeleting} fixed={false} />
<MyModal isOpen={!!apiKey} w={'400px'} onClose={() => setApiKey('')}>
<Box py={3} px={5}>
<Box fontWeight={'bold'} fontSize={'2xl'}>
API
</Box>
<Box fontSize={'sm'} color={'myGray.600'}>
~
</Box>
</Box>
<ModalBody>
<Flex bg={'myGray.100'} px={3} py={2} cursor={'pointer'} onClick={() => copyData(apiKey)}>
<Box flex={1}>{apiKey}</Box>
<MyIcon name={'copy'} w={'16px'}></MyIcon>
</Flex>
</ModalBody>
<ModalFooter>
<Button variant="base" onClick={() => setApiKey('')}>
</Button>
</ModalFooter>
</MyModal>
</MyModal>
);
};
export default APIKeyModal;

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@@ -1,137 +0,0 @@
import React, { useCallback, useState } from 'react';
import { ModalBody, ModalCloseButton, ModalHeader, Box, useTheme } from '@chakra-ui/react';
import { getKbDataItemById } from '@/api/plugins/kb';
import { useLoading } from '@/hooks/useLoading';
import { useToast } from '@/hooks/useToast';
import { getErrText } from '@/utils/tools';
import { QuoteItemType } from '@/types/chat';
import MyIcon from '@/components/Icon';
import InputDataModal from '@/pages/kb/detail/components/InputDataModal';
import MyModal from '../MyModal';
const QuoteModal = ({
onUpdateQuote,
rawSearch = [],
onClose
}: {
onUpdateQuote: (quoteId: string, sourceText: string) => Promise<void>;
rawSearch: QuoteItemType[];
onClose: () => void;
}) => {
const theme = useTheme();
const { toast } = useToast();
const { setIsLoading, Loading } = useLoading();
const [editDataItem, setEditDataItem] = useState<{
kbId: string;
dataId: string;
a: string;
q: string;
}>();
/**
* click edit, get new kbDataItem
*/
const onclickEdit = useCallback(
async (item: QuoteItemType) => {
try {
setIsLoading(true);
const data = (await getKbDataItemById(item.id)) as QuoteItemType;
if (!data) {
onUpdateQuote(item.id, '已删除');
throw new Error('该数据已被删除');
}
setEditDataItem({
kbId: data.kb_id,
dataId: data.id,
q: data.q,
a: data.a
});
} catch (err) {
toast({
status: 'warning',
title: getErrText(err)
});
}
setIsLoading(false);
},
[setIsLoading, toast, onUpdateQuote]
);
return (
<>
<MyModal
isOpen={true}
onClose={onClose}
h={['90vh', '80vh']}
isCentered
minW={['90vw', '600px']}
title={
<>
({rawSearch.length})
<Box fontSize={['xs', 'sm']} fontWeight={'normal'}>
注意: 修改知识库内容成功后
</Box>
</>
}
>
<ModalBody pt={0} whiteSpace={'pre-wrap'} textAlign={'justify'} fontSize={'sm'}>
{rawSearch.map((item) => (
<Box
key={item.id}
flex={'1 0 0'}
p={2}
borderRadius={'lg'}
border={theme.borders.base}
_notLast={{ mb: 2 }}
position={'relative'}
_hover={{ '& .edit': { display: 'flex' } }}
>
{item.source && <Box color={'myGray.600'}>({item.source})</Box>}
<Box>{item.q}</Box>
<Box>{item.a}</Box>
<Box
className="edit"
display={'none'}
position={'absolute'}
right={0}
top={0}
bottom={0}
w={'40px'}
bg={'rgba(255,255,255,0.9)'}
alignItems={'center'}
justifyContent={'center'}
boxShadow={'-10px 0 10px rgba(255,255,255,1)'}
>
<MyIcon
name={'edit'}
w={'18px'}
h={'18px'}
cursor={'pointer'}
color={'myGray.600'}
_hover={{
color: 'myBlue.700'
}}
onClick={() => onclickEdit(item)}
/>
</Box>
</Box>
))}
</ModalBody>
<Loading fixed={false} />
</MyModal>
{editDataItem && (
<InputDataModal
onClose={() => setEditDataItem(undefined)}
onSuccess={() => onUpdateQuote(editDataItem.dataId, '手动修改')}
onDelete={() => onUpdateQuote(editDataItem.dataId, '已删除')}
kbId={editDataItem.kbId}
defaultValues={editDataItem}
/>
)}
</>
);
};
export default QuoteModal;

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@@ -1,94 +0,0 @@
import React, { useCallback, useMemo, useState } from 'react';
import { ChatModuleEnum } from '@/constants/chat';
import { ChatHistoryItemResType, ChatItemType, QuoteItemType } from '@/types/chat';
import { Flex, BoxProps } from '@chakra-ui/react';
import dynamic from 'next/dynamic';
import Tag from '../Tag';
import MyTooltip from '../MyTooltip';
const QuoteModal = dynamic(() => import('./QuoteModal'), { ssr: false });
const ContextModal = dynamic(() => import('./ContextModal'), { ssr: false });
const ResponseDetailModal = ({
chatId,
contentId,
responseData = []
}: {
chatId?: string;
contentId?: string;
responseData?: ChatHistoryItemResType[];
}) => {
const [quoteModalData, setQuoteModalData] = useState<QuoteItemType[]>();
const [contextModalData, setContextModalData] = useState<ChatItemType[]>();
const {
tokens = 0,
quoteList = [],
completeMessages = []
} = useMemo(() => {
const chatData = responseData.find((item) => item.moduleName === ChatModuleEnum.AIChat);
if (!chatData) return {};
return {
tokens: chatData.tokens,
quoteList: chatData.quoteList,
completeMessages: chatData.completeMessages
};
}, [responseData]);
const isEmpty = useMemo(
() => quoteList.length === 0 && completeMessages.length === 0 && tokens === 0,
[completeMessages.length, quoteList.length, tokens]
);
const updateQuote = useCallback(async (quoteId: string, sourceText: string) => {}, []);
const TagStyles: BoxProps = {
mr: 2,
bg: 'transparent'
};
return isEmpty ? null : (
<Flex alignItems={'center'} mt={2} flexWrap={'wrap'}>
{quoteList.length > 0 && (
<MyTooltip label="查看引用">
<Tag
colorSchema="blue"
cursor={'pointer'}
{...TagStyles}
onClick={() => setQuoteModalData(quoteList)}
>
{quoteList.length}
</Tag>
</MyTooltip>
)}
{completeMessages.length > 0 && (
<MyTooltip label={'点击查看完整对话记录'}>
<Tag
colorSchema="green"
cursor={'pointer'}
{...TagStyles}
onClick={() => setContextModalData(completeMessages)}
>
{completeMessages.length}
</Tag>
</MyTooltip>
)}
{tokens > 0 && (
<Tag colorSchema="gray" cursor={'default'} {...TagStyles}>
{tokens}tokens
</Tag>
)}
{!!quoteModalData && (
<QuoteModal
rawSearch={quoteModalData}
onUpdateQuote={updateQuote}
onClose={() => setQuoteModalData(undefined)}
/>
)}
{!!contextModalData && (
<ContextModal context={contextModalData} onClose={() => setContextModalData(undefined)} />
)}
</Flex>
);
};
export default ResponseDetailModal;

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@@ -1,818 +0,0 @@
import React, {
useCallback,
useRef,
useState,
useMemo,
forwardRef,
useImperativeHandle,
ForwardedRef,
useEffect
} from 'react';
import { throttle } from 'lodash';
import {
ChatHistoryItemResType,
ChatItemType,
ChatSiteItemType,
ExportChatType
} from '@/types/chat';
import { useToast } from '@/hooks/useToast';
import {
useCopyData,
voiceBroadcast,
cancelBroadcast,
hasVoiceApi,
getErrText
} from '@/utils/tools';
import { Box, Card, Flex, Input, Textarea, Button, useTheme, BoxProps } from '@chakra-ui/react';
import { feConfigs } from '@/store/static';
import { Types } from 'mongoose';
import { EventNameEnum } from '../Markdown/constant';
import { adaptChatItem_openAI } from '@/utils/plugin/openai';
import { useMarkdown } from '@/hooks/useMarkdown';
import { VariableItemType } from '@/types/app';
import { VariableInputEnum } from '@/constants/app';
import { useForm } from 'react-hook-form';
import { MessageItemType } from '@/pages/api/openapi/v1/chat/completions';
import { fileDownload } from '@/utils/file';
import { htmlTemplate } from '@/constants/common';
import { useRouter } from 'next/router';
import { useGlobalStore } from '@/store/global';
import { TaskResponseKeyEnum } from '@/constants/chat';
import MyIcon from '@/components/Icon';
import Avatar from '@/components/Avatar';
import Markdown from '@/components/Markdown';
import MySelect from '@/components/Select';
import MyTooltip from '../MyTooltip';
import dynamic from 'next/dynamic';
const ResponseDetailModal = dynamic(() => import('./ResponseDetailModal'));
import styles from './index.module.scss';
const textareaMinH = '22px';
export type StartChatFnProps = {
messages: MessageItemType[];
controller: AbortController;
variables: Record<string, any>;
generatingMessage: (text: string) => void;
};
export type ComponentRef = {
getChatHistory: () => ChatSiteItemType[];
resetVariables: (data?: Record<string, any>) => void;
resetHistory: (chatId: ChatSiteItemType[]) => void;
scrollToBottom: (behavior?: 'smooth' | 'auto') => void;
};
const VariableLabel = ({
required = false,
children
}: {
required?: boolean;
children: React.ReactNode | string;
}) => (
<Box as={'label'} display={'inline-block'} position={'relative'} mb={1}>
{children}
{required && (
<Box position={'absolute'} top={'-2px'} right={'-10px'} color={'red.500'} fontWeight={'bold'}>
*
</Box>
)}
</Box>
);
const Empty = () => {
const { data: chatProblem } = useMarkdown({ url: '/chatProblem.md' });
const { data: versionIntro } = useMarkdown({ url: '/versionIntro.md' });
return (
<Box
pt={[6, 0]}
w={'85%'}
maxW={'600px'}
m={'auto'}
alignItems={'center'}
justifyContent={'center'}
>
{/* version intro */}
<Card p={4} mb={10}>
<Markdown source={versionIntro} />
</Card>
<Card p={4}>
<Markdown source={chatProblem} />
</Card>
</Box>
);
};
const ChatAvatar = ({ src, type }: { src?: string; type: 'Human' | 'AI' }) => {
const theme = useTheme();
return (
<Box
w={['28px', '34px']}
h={['28px', '34px']}
p={'2px'}
borderRadius={'lg'}
border={theme.borders.base}
boxShadow={'0 0 5px rgba(0,0,0,0.1)'}
bg={type === 'Human' ? 'white' : 'myBlue.100'}
>
<Avatar src={src} w={'100%'} h={'100%'} />
</Box>
);
};
const ChatBox = (
{
showEmptyIntro = false,
chatId,
appAvatar,
userAvatar,
variableModules,
welcomeText,
onUpdateVariable,
onStartChat,
onDelMessage
}: {
showEmptyIntro?: boolean;
chatId?: string;
appAvatar?: string;
userAvatar?: string;
variableModules?: VariableItemType[];
welcomeText?: string;
onUpdateVariable?: (e: Record<string, any>) => void;
onStartChat: (e: StartChatFnProps) => Promise<{
responseText: string;
[TaskResponseKeyEnum.responseData]: ChatHistoryItemResType[];
}>;
onDelMessage?: (e: { contentId?: string; index: number }) => void;
},
ref: ForwardedRef<ComponentRef>
) => {
const ChatBoxRef = useRef<HTMLDivElement>(null);
const theme = useTheme();
const router = useRouter();
const { copyData } = useCopyData();
const { toast } = useToast();
const { isPc } = useGlobalStore();
const TextareaDom = useRef<HTMLTextAreaElement>(null);
const controller = useRef(new AbortController());
const [refresh, setRefresh] = useState(false);
const [variables, setVariables] = useState<Record<string, any>>({});
const [chatHistory, setChatHistory] = useState<ChatSiteItemType[]>([]);
const isChatting = useMemo(
() => chatHistory[chatHistory.length - 1]?.status === 'loading',
[chatHistory]
);
const variableIsFinish = useMemo(() => {
if (!variableModules || chatHistory.length > 0) return true;
for (let i = 0; i < variableModules.length; i++) {
const item = variableModules[i];
if (item.required && !variables[item.key]) {
return false;
}
}
return true;
}, [chatHistory.length, variableModules, variables]);
const { register, reset, getValues, setValue, handleSubmit } = useForm<Record<string, any>>({
defaultValues: variables
});
// 滚动到底部
const scrollToBottom = useCallback(
(behavior: 'smooth' | 'auto' = 'smooth') => {
if (!ChatBoxRef.current) return;
ChatBoxRef.current.scrollTo({
top: ChatBoxRef.current.scrollHeight,
behavior
});
},
[ChatBoxRef]
);
// 聊天信息生成中……获取当前滚动条位置,判断是否需要滚动到底部
const generatingScroll = useCallback(
throttle(() => {
if (!ChatBoxRef.current) return;
const isBottom =
ChatBoxRef.current.scrollTop + ChatBoxRef.current.clientHeight + 150 >=
ChatBoxRef.current.scrollHeight;
isBottom && scrollToBottom('auto');
}, 100),
[]
);
// eslint-disable-next-line react-hooks/exhaustive-deps
const generatingMessage = useCallback(
(text: string) => {
setChatHistory((state) =>
state.map((item, index) => {
if (index !== state.length - 1) return item;
return {
...item,
value: item.value + text
};
})
);
generatingScroll();
},
[generatingScroll, setChatHistory]
);
// 复制内容
const onclickCopy = useCallback(
(value: string) => {
const val = value.replace(/\n+/g, '\n');
copyData(val);
},
[copyData]
);
// 重置输入内容
const resetInputVal = useCallback((val: string) => {
if (!TextareaDom.current) return;
setTimeout(() => {
/* 回到最小高度 */
if (TextareaDom.current) {
TextareaDom.current.value = val;
TextareaDom.current.style.height =
val === '' ? textareaMinH : `${TextareaDom.current.scrollHeight}px`;
}
}, 100);
}, []);
/**
* user confirm send prompt
*/
const sendPrompt = useCallback(
async (data: Record<string, any> = {}, inputVal = '') => {
if (isChatting) {
toast({
title: '正在聊天中...请等待结束',
status: 'warning'
});
return;
}
// get input value
const val = inputVal.trim().replace(/\n\s*/g, '\n');
if (!val) {
toast({
title: '内容为空',
status: 'warning'
});
return;
}
const newChatList: ChatSiteItemType[] = [
...chatHistory,
{
_id: String(new Types.ObjectId()),
obj: 'Human',
value: val,
status: 'finish'
},
{
_id: String(new Types.ObjectId()),
obj: 'AI',
value: '',
status: 'loading'
}
];
// 插入内容
setChatHistory(newChatList);
// 清空输入内容
resetInputVal('');
setTimeout(() => {
scrollToBottom();
}, 100);
try {
// create abort obj
const abortSignal = new AbortController();
controller.current = abortSignal;
const messages = adaptChatItem_openAI({ messages: newChatList, reserveId: true });
const { responseData } = await onStartChat({
messages,
controller: abortSignal,
generatingMessage,
variables: data
});
// set finish status
setChatHistory((state) =>
state.map((item, index) => {
if (index !== state.length - 1) return item;
return {
...item,
status: 'finish',
responseData
};
})
);
setTimeout(() => {
generatingScroll();
isPc && TextareaDom.current?.focus();
}, 100);
} catch (err: any) {
toast({
title: getErrText(err, '聊天出错了~'),
status: 'error',
duration: 5000,
isClosable: true
});
if (!err?.responseText) {
resetInputVal(inputVal);
setChatHistory(newChatList.slice(0, newChatList.length - 2));
}
// set finish status
setChatHistory((state) =>
state.map((item, index) => {
if (index !== state.length - 1) return item;
return {
...item,
status: 'finish'
};
})
);
}
},
[
isChatting,
chatHistory,
resetInputVal,
toast,
scrollToBottom,
onStartChat,
generatingMessage,
generatingScroll,
isPc
]
);
useImperativeHandle(ref, () => ({
getChatHistory: () => chatHistory,
resetVariables(e) {
const defaultVal: Record<string, any> = {};
variableModules?.forEach((item) => {
defaultVal[item.key] = '';
});
reset(e || defaultVal);
setVariables(e || defaultVal);
},
resetHistory(e) {
setChatHistory(e);
},
scrollToBottom
}));
const controlIconStyle = {
w: '14px',
cursor: 'pointer',
p: 1,
bg: 'white',
borderRadius: 'lg',
boxShadow: '0 0 5px rgba(0,0,0,0.1)',
border: theme.borders.base,
mr: 3
};
const controlContainerStyle = {
className: 'control',
color: 'myGray.400',
display: ['flex', 'none'],
pl: 1,
mt: 2
};
const MessageCardStyle: BoxProps = {
px: 4,
py: 3,
borderRadius: '0 8px 8px 8px',
boxShadow: '0 0 8px rgba(0,0,0,0.15)'
};
const messageCardMaxW = ['calc(100% - 25px)', 'calc(100% - 40px)'];
const showEmpty = useMemo(
() =>
feConfigs?.show_emptyChat &&
showEmptyIntro &&
chatHistory.length === 0 &&
!variableModules?.length &&
!welcomeText,
[chatHistory.length, showEmptyIntro, variableModules, welcomeText]
);
useEffect(() => {
return () => {
controller.current?.abort();
// close voice
cancelBroadcast();
};
}, [router.query]);
useEffect(() => {
const listen = () => {
cancelBroadcast();
};
window.addEventListener('beforeunload', listen);
return () => {
window.removeEventListener('beforeunload', listen);
};
}, []);
return (
<Flex flexDirection={'column'} h={'100%'}>
<Box
ref={ChatBoxRef}
flex={'1 0 0'}
h={0}
w={'100%'}
overflow={'overlay'}
px={[4, 0]}
mt={[0, 5]}
pb={3}
>
<Box maxW={['100%', '92%']} h={'100%'} mx={'auto'}>
{showEmpty && <Empty />}
{!!welcomeText && (
<Flex flexDirection={'column'} alignItems={'flex-start'} py={2}>
{/* avatar */}
<ChatAvatar src={appAvatar} type={'AI'} />
{/* message */}
<Card order={2} mt={2} {...MessageCardStyle} bg={'white'} maxW={messageCardMaxW}>
<Markdown
source={`~~~guide \n${welcomeText}`}
isChatting={false}
onClick={(e) => {
const val = e?.data;
if (e?.event !== EventNameEnum.guideClick || !val) return;
handleSubmit((data) => sendPrompt(data, val))();
}}
/>
</Card>
</Flex>
)}
{/* variable input */}
{!!variableModules?.length && (
<Flex flexDirection={'column'} alignItems={'flex-start'} py={2}>
{/* avatar */}
<ChatAvatar src={appAvatar} type={'AI'} />
{/* message */}
<Card
order={2}
mt={2}
bg={'white'}
w={'400px'}
maxW={messageCardMaxW}
{...MessageCardStyle}
>
{variableModules.map((item) => (
<Box key={item.id} mb={4}>
<VariableLabel required={item.required}>{item.label}</VariableLabel>
{item.type === VariableInputEnum.input && (
<Input
isDisabled={variableIsFinish}
{...register(item.key, {
required: item.required
})}
/>
)}
{item.type === VariableInputEnum.select && (
<MySelect
width={'100%'}
isDisabled={variableIsFinish}
list={(item.enums || []).map((item) => ({
label: item.value,
value: item.value
}))}
value={getValues(item.key)}
onchange={(e) => {
setValue(item.key, e);
setRefresh(!refresh);
}}
/>
)}
</Box>
))}
{!variableIsFinish && (
<Button
leftIcon={<MyIcon name={'chatFill'} w={'16px'} />}
size={'sm'}
maxW={'100px'}
borderRadius={'lg'}
onClick={handleSubmit((data) => {
onUpdateVariable?.(data);
setVariables(data);
})}
>
{'开始对话'}
</Button>
)}
</Card>
</Flex>
)}
{/* chat history */}
<Box id={'history'}>
{chatHistory.map((item, index) => (
<Flex
position={'relative'}
key={item._id}
flexDirection={'column'}
alignItems={item.obj === 'Human' ? 'flex-end' : 'flex-start'}
py={5}
_hover={{
'& .control': {
display: item.status === 'finish' ? 'flex' : 'none'
}
}}
>
{item.obj === 'Human' && (
<>
<Flex w={'100%'} alignItems={'center'} justifyContent={'flex-end'}>
<Flex {...controlContainerStyle} justifyContent={'flex-end'} mr={3}>
<MyTooltip label={'复制'}>
<MyIcon
{...controlIconStyle}
name={'copy'}
_hover={{ color: 'myBlue.700' }}
onClick={() => onclickCopy(item.value)}
/>
</MyTooltip>
{onDelMessage && (
<MyTooltip label={'删除'}>
<MyIcon
{...controlIconStyle}
mr={0}
name={'delete'}
_hover={{ color: 'red.600' }}
onClick={() => {
setChatHistory((state) =>
state.filter((chat) => chat._id !== item._id)
);
onDelMessage({
contentId: item._id,
index
});
}}
/>
</MyTooltip>
)}
</Flex>
<ChatAvatar src={userAvatar} type={'Human'} />
</Flex>
<Box position={'relative'} maxW={messageCardMaxW} mt={['6px', 2]}>
<Card
className="markdown"
whiteSpace={'pre-wrap'}
{...MessageCardStyle}
bg={'myBlue.300'}
borderRadius={'8px 0 8px 8px'}
>
<Box as={'p'}>{item.value}</Box>
</Card>
</Box>
</>
)}
{item.obj === 'AI' && (
<>
<Flex w={'100%'} alignItems={'center'}>
<ChatAvatar src={appAvatar} type={'AI'} />
<Flex {...controlContainerStyle} ml={3}>
<MyTooltip label={'复制'}>
<MyIcon
{...controlIconStyle}
name={'copy'}
_hover={{ color: 'myBlue.700' }}
onClick={() => onclickCopy(item.value)}
/>
</MyTooltip>
{onDelMessage && (
<MyTooltip label={'删除'}>
<MyIcon
{...controlIconStyle}
name={'delete'}
_hover={{ color: 'red.600' }}
onClick={() => {
setChatHistory((state) =>
state.filter((chat) => chat._id !== item._id)
);
onDelMessage({
contentId: item._id,
index
});
}}
/>
</MyTooltip>
)}
{hasVoiceApi && (
<MyTooltip label={'语音播报'}>
<MyIcon
{...controlIconStyle}
name={'voice'}
_hover={{ color: '#E74694' }}
onClick={() => voiceBroadcast({ text: item.value })}
/>
</MyTooltip>
)}
</Flex>
</Flex>
<Box position={'relative'} maxW={messageCardMaxW} mt={['6px', 2]}>
<Card bg={'white'} {...MessageCardStyle}>
<Markdown
source={item.value}
isChatting={index === chatHistory.length - 1 && isChatting}
/>
<ResponseDetailModal
chatId={chatId}
contentId={item._id}
responseData={item.responseData}
/>
</Card>
</Box>
</>
)}
</Flex>
))}
</Box>
</Box>
</Box>
{/* input */}
{variableIsFinish ? (
<Box m={['0 auto', '10px auto']} w={'100%'} maxW={['auto', 'min(750px, 100%)']} px={[0, 5]}>
<Box
py={'18px'}
position={'relative'}
boxShadow={`0 0 10px rgba(0,0,0,0.2)`}
borderTop={['1px solid', 0]}
borderTopColor={'myGray.200'}
borderRadius={['none', 'md']}
backgroundColor={'white'}
>
{/* 输入框 */}
<Textarea
ref={TextareaDom}
py={0}
pr={['45px', '55px']}
border={'none'}
_focusVisible={{
border: 'none'
}}
placeholder="提问"
resize={'none'}
rows={1}
height={'22px'}
lineHeight={'22px'}
maxHeight={'150px'}
maxLength={-1}
overflowY={'auto'}
whiteSpace={'pre-wrap'}
wordBreak={'break-all'}
boxShadow={'none !important'}
color={'myGray.900'}
onChange={(e) => {
const textarea = e.target;
textarea.style.height = textareaMinH;
textarea.style.height = `${textarea.scrollHeight}px`;
}}
onKeyDown={(e) => {
// 触发快捷发送
if (e.keyCode === 13 && !e.shiftKey) {
handleSubmit((data) => sendPrompt(data, TextareaDom.current?.value))();
e.preventDefault();
}
// 全选内容
// @ts-ignore
e.key === 'a' && e.ctrlKey && e.target?.select();
}}
/>
{/* 发送和等待按键 */}
<Flex
alignItems={'center'}
justifyContent={'center'}
h={'25px'}
w={'25px'}
position={'absolute'}
right={['12px', '20px']}
bottom={'15px'}
>
{isChatting ? (
<MyIcon
className={styles.stopIcon}
width={['22px', '25px']}
height={['22px', '25px']}
cursor={'pointer'}
name={'stop'}
color={'gray.500'}
onClick={() => controller.current?.abort()}
/>
) : (
<MyIcon
name={'chatSend'}
width={['18px', '20px']}
height={['18px', '20px']}
cursor={'pointer'}
color={'gray.500'}
onClick={() => {
handleSubmit((data) => sendPrompt(data, TextareaDom.current?.value))();
}}
/>
)}
</Flex>
</Box>
</Box>
) : null}
</Flex>
);
};
export default React.memo(forwardRef(ChatBox));
export const useChatBox = () => {
const onExportChat = useCallback(
({ type, history }: { type: ExportChatType; history: ChatItemType[] }) => {
const getHistoryHtml = () => {
const historyDom = document.getElementById('history');
if (!historyDom) return;
const dom = Array.from(historyDom.children).map((child, i) => {
const avatar = `<img src="${
child.querySelector<HTMLImageElement>('.avatar')?.src
}" alt="" />`;
const chatContent = child.querySelector<HTMLDivElement>('.markdown');
if (!chatContent) {
return '';
}
const chatContentClone = chatContent.cloneNode(true) as HTMLDivElement;
const codeHeader = chatContentClone.querySelectorAll('.code-header');
codeHeader.forEach((childElement: any) => {
childElement.remove();
});
return `<div class="chat-item">
${avatar}
${chatContentClone.outerHTML}
</div>`;
});
const html = htmlTemplate.replace('{{CHAT_CONTENT}}', dom.join('\n'));
return html;
};
const map: Record<ExportChatType, () => void> = {
md: () => {
fileDownload({
text: history.map((item) => item.value).join('\n\n'),
type: 'text/markdown',
filename: 'chat.md'
});
},
html: () => {
const html = getHistoryHtml();
html &&
fileDownload({
text: html,
type: 'text/html',
filename: '聊天记录.html'
});
},
pdf: () => {
const html = getHistoryHtml();
html &&
// @ts-ignore
html2pdf(html, {
margin: 0,
filename: `聊天记录.pdf`
});
}
};
map[type]();
},
[]
);
return {
onExportChat
};
};

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@@ -1 +0,0 @@
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View File

@@ -1,97 +0,0 @@
import React from 'react';
import type { IconProps } from '@chakra-ui/react';
import { Icon } from '@chakra-ui/react';
const map = {
appFill: require('./icons/fill/app.svg').default,
appLight: require('./icons/light/app.svg').default,
copy: require('./icons/copy.svg').default,
chatSend: require('./icons/chatSend.svg').default,
delete: require('./icons/delete.svg').default,
withdraw: require('./icons/withdraw.svg').default,
stop: require('./icons/stop.svg').default,
collectionLight: require('./icons/collectionLight.svg').default,
collectionSolid: require('./icons/collectionSolid.svg').default,
empty: require('./icons/empty.svg').default,
back: require('./icons/back.svg').default,
backFill: require('./icons/fill/back.svg').default,
more: require('./icons/more.svg').default,
tabbarChat: require('./icons/phoneTabbar/chat.svg').default,
tabbarModel: require('./icons/phoneTabbar/app.svg').default,
tabbarMore: require('./icons/phoneTabbar/more.svg').default,
tabbarMe: require('./icons/phoneTabbar/me.svg').default,
closeSolid: require('./icons/closeSolid.svg').default,
wx: require('./icons/wx.svg').default,
out: require('./icons/out.svg').default,
git: require('./icons/git.svg').default,
menu: require('./icons/menu.svg').default,
edit: require('./icons/edit.svg').default,
inform: require('./icons/inform.svg').default,
export: require('./icons/export.svg').default,
text: require('./icons/text.svg').default,
history: require('./icons/history.svg').default,
kbTest: require('./icons/kbTest.svg').default,
date: require('./icons/date.svg').default,
apikey: require('./icons/apikey.svg').default,
save: require('./icons/save.svg').default,
minus: require('./icons/minus.svg').default,
chat: require('./icons/light/chat.svg').default,
chatFill: require('./icons/fill/chat.svg').default,
clear: require('./icons/light/clear.svg').default,
apiLight: require('./icons/light/appApi.svg').default,
overviewLight: require('./icons/light/overview.svg').default,
settingLight: require('./icons/light/setting.svg').default,
shareLight: require('./icons/light/share.svg').default,
dbLight: require('./icons/light/db.svg').default,
dbFill: require('./icons/fill/db.svg').default,
appStoreLight: require('./icons/light/appStore.svg').default,
appStoreFill: require('./icons/fill/appStore.svg').default,
meLight: require('./icons/light/me.svg').default,
meFill: require('./icons/fill/me.svg').default,
welcomeText: require('./icons/modules/welcomeText.svg').default,
variable: require('./icons/modules/variable.svg').default,
setTop: require('./icons/light/setTop.svg').default,
fullScreenLight: require('./icons/light/fullScreen.svg').default,
voice: require('./icons/voice.svg').default,
html: require('./icons/file/html.svg').default,
pdf: require('./icons/file/pdf.svg').default,
markdown: require('./icons/file/markdown.svg').default,
importLight: require('./icons/light/import.svg').default,
manualImport: require('./icons/file/manualImport.svg').default,
indexImport: require('./icons/file/indexImport.svg').default,
csvImport: require('./icons/file/csv.svg').default,
qaImport: require('./icons/file/qaImport.svg').default,
uploadFile: require('./icons/file/uploadFile.svg').default,
closeLight: require('./icons/light/close.svg').default,
customTitle: require('./icons/light/customTitle.svg').default,
billRecordLight: require('./icons/light/billRecord.svg').default,
informLight: require('./icons/light/inform.svg').default,
payRecordLight: require('./icons/light/payRecord.svg').default,
loginoutLight: require('./icons/light/loginout.svg').default,
chatModelTag: require('./icons/light/chatModelTag.svg').default,
language_en: require('./icons/language/en.svg').default,
language_zh: require('./icons/language/zh.svg').default,
outlink_share: require('./icons/outlink/share.svg').default,
outlink_iframe: require('./icons/outlink/iframe.svg').default
};
export type IconName = keyof typeof map;
const MyIcon = (
{ name, w = 'auto', h = 'auto', ...props }: { name: IconName } & IconProps,
ref: any
) => {
return map[name] ? (
<Icon
as={map[name]}
w={w}
h={h}
boxSizing={'content-box'}
verticalAlign={'top'}
fill={'currentcolor'}
{...props}
/>
) : null;
};
export default React.forwardRef(MyIcon);

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@@ -1,32 +0,0 @@
import React, { useMemo } from 'react';
import { Box } from '@chakra-ui/react';
import Image from './img/Image';
const regex = /((http|https|ftp):\/\/[^\s\u4e00-\u9fa5\u3000-\u303f\uff00-\uffef]+)/gi;
const Link = (props: { href?: string; children?: any }) => {
const Html = useMemo(() => {
const decText = decodeURIComponent(props.href || '');
return decText.replace(regex, (match, p1) => {
let text = decText === props.children?.[0] ? p1 : props.children?.[0];
const isInternal = /^\/#/i.test(p1);
const target = isInternal ? '_self' : '_blank';
if (props?.children?.[0]?.props?.node?.tagName === 'img') {
// eslint-disable-next-line @next/next/no-img-element
text = `<img src="${props?.children?.[0]?.props?.src}" />`;
}
return `<a href="${p1}" target=${target}>${text}</a>`;
});
}, [props.children, props.href]);
return typeof Html === 'string' ? (
<Box as={'span'} dangerouslySetInnerHTML={{ __html: Html }} />
) : (
Html
);
};
export default React.memo(Link);

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@@ -1,49 +0,0 @@
import React, { useMemo } from 'react';
import { Box } from '@chakra-ui/react';
import ReactMarkdown from 'react-markdown';
import RemarkGfm from 'remark-gfm';
import RemarkMath from 'remark-math';
import RehypeKatex from 'rehype-katex';
import 'katex/dist/katex.min.css';
import styles from '../index.module.scss';
import { EventNameEnum } from '../constant';
const Guide = ({ text, onClick }: { text: string; onClick?: (e: any) => void }) => {
const formatText = useMemo(() => text.replace(/\[(.*?)\]/g, '[$1]()'), [text]);
return (
<ReactMarkdown
className={`markdown ${styles.markdown}`}
remarkPlugins={[RemarkGfm, RemarkMath]}
rehypePlugins={[RehypeKatex]}
components={{
a({ children }: any) {
return (
<Box as={'li'} py={1} m={0}>
<Box
as={'span'}
color={'blue.600'}
textDecoration={'underline'}
cursor={'pointer'}
onClick={() => {
if (!onClick) return;
onClick({
event: EventNameEnum.guideClick,
data: String(children)
});
}}
>
{String(children)}
</Box>
</Box>
);
}
}}
>
{formatText}
</ReactMarkdown>
);
};
export default React.memo(Guide);

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@@ -1,3 +0,0 @@
export enum EventNameEnum {
guideClick = 'guideClick'
}

View File

@@ -1,27 +0,0 @@
import React from 'react';
import { Button, ModalFooter, ModalBody, Image } from '@chakra-ui/react';
import MyModal from '../MyModal';
const WxConcat = ({ onClose }: { onClose: () => void }) => {
return (
<MyModal isOpen={true} onClose={onClose} title={'联系方式-wx'}>
<ModalBody textAlign={'center'}>
<Image
style={{ margin: 'auto' }}
src={'https://otnvvf-imgs.oss.laf.run/wx300.jpg'}
width={'200px'}
height={'200px'}
alt=""
/>
</ModalBody>
<ModalFooter>
<Button variant={'base'} onClick={onClose}>
</Button>
</ModalFooter>
</MyModal>
);
};
export default WxConcat;

View File

@@ -1,12 +0,0 @@
import type { KbItemType } from '@/types/plugin';
export const defaultKbDetail: KbItemType = {
_id: '',
userId: '',
updateTime: new Date(),
avatar: '/icon/logo.png',
name: '',
tags: '',
totalData: 0,
model: 'text-embedding-ada-002'
};

View File

@@ -1,28 +0,0 @@
import type { ShareChatEditType } from '@/types/app';
import type { AppSchema } from '@/types/mongoSchema';
export enum OpenAiChatEnum {
'GPT35' = 'gpt-3.5-turbo',
'GPT3516k' = 'gpt-3.5-turbo-16k',
'FastAI-Plus' = 'gpt-4',
'FastAI-Plus32k' = 'gpt-4-32k'
}
export const defaultApp: AppSchema = {
_id: '',
userId: 'userId',
name: '模型加载中',
avatar: '/icon/logo.png',
intro: '',
updateTime: Date.now(),
share: {
isShare: false,
isShareDetail: false,
collection: 0
},
modules: []
};
export const defaultShareChat: ShareChatEditType = {
name: ''
};

View File

@@ -1,19 +0,0 @@
import { useEffect } from 'react';
import { useRouter } from 'next/router';
function Error() {
const router = useRouter();
useEffect(() => {
setTimeout(() => {
router.replace('/app/list');
}, 2000);
}, []);
return (
<p>
safari chrome
</p>
);
}
export default Error;

View File

@@ -1,128 +0,0 @@
import React, { useCallback, useRef } from 'react';
import { Box, Flex, useTheme } from '@chakra-ui/react';
import { useGlobalStore } from '@/store/global';
import { useRouter } from 'next/router';
import dynamic from 'next/dynamic';
import { clearCookie } from '@/utils/user';
import { useUserStore } from '@/store/user';
import { useConfirm } from '@/hooks/useConfirm';
import PageContainer from '@/components/PageContainer';
import SideTabs from '@/components/SideTabs';
import Tabs from '@/components/Tabs';
import UserInfo from './components/Info';
import { serviceSideProps } from '@/utils/i18n';
const BillTable = dynamic(() => import('./components/BillTable'), {
ssr: false
});
const PayRecordTable = dynamic(() => import('./components/PayRecordTable'), {
ssr: false
});
const InformTable = dynamic(() => import('./components/InformTable'), {
ssr: false
});
enum TabEnum {
'info' = 'info',
'bill' = 'bill',
'pay' = 'pay',
'inform' = 'inform',
'loginout' = 'loginout'
}
const Account = ({ currentTab }: { currentTab: `${TabEnum}` }) => {
const tabList = useRef([
{ icon: 'meLight', label: '个人信息', id: TabEnum.info, Component: <BillTable /> },
{ icon: 'billRecordLight', label: '使用记录', id: TabEnum.bill, Component: <BillTable /> },
{ icon: 'payRecordLight', label: '充值记录', id: TabEnum.pay, Component: <PayRecordTable /> },
{ icon: 'informLight', label: '通知', id: TabEnum.inform, Component: <InformTable /> },
{ icon: 'loginoutLight', label: '登出', id: TabEnum.loginout, Component: () => <></> }
]);
const { openConfirm, ConfirmModal } = useConfirm({
content: '确认退出登录?'
});
const router = useRouter();
const theme = useTheme();
const { isPc } = useGlobalStore();
const { setUserInfo } = useUserStore();
const setCurrentTab = useCallback(
(tab: string) => {
if (tab === TabEnum.loginout) {
openConfirm(() => {
clearCookie();
setUserInfo(null);
router.replace('/login');
})();
} else {
router.replace({
query: {
currentTab: tab
}
});
}
},
[openConfirm, router, setUserInfo]
);
return (
<PageContainer>
<Flex flexDirection={['column', 'row']} h={'100%'} pt={[4, 0]}>
{isPc ? (
<Flex
flexDirection={'column'}
p={4}
h={'100%'}
flex={'0 0 200px'}
borderRight={theme.borders.base}
>
<SideTabs
flex={1}
mx={'auto'}
mt={2}
w={'100%'}
list={tabList.current}
activeId={currentTab}
onChange={setCurrentTab}
/>
</Flex>
) : (
<Box mb={3}>
<Tabs
m={'auto'}
w={'90%'}
size={isPc ? 'md' : 'sm'}
list={tabList.current.map((item) => ({
id: item.id,
label: item.label
}))}
activeId={currentTab}
onChange={setCurrentTab}
/>
</Box>
)}
<Box flex={'1 0 0'} h={'100%'} pb={[4, 0]}>
{currentTab === TabEnum.info && <UserInfo />}
{currentTab === TabEnum.bill && <BillTable />}
{currentTab === TabEnum.pay && <PayRecordTable />}
{currentTab === TabEnum.inform && <InformTable />}
</Box>
</Flex>
<ConfirmModal />
</PageContainer>
);
};
export async function getServerSideProps(content: any) {
return {
props: {
currentTab: content?.query?.currentTab || TabEnum.info,
...(await serviceSideProps(content))
}
};
}
export default Account;

View File

@@ -1,60 +0,0 @@
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { authUser } from '@/service/utils/auth';
import { connectToDatabase, Chat } from '@/service/mongo';
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
await authUser({ req, authRoot: true });
await connectToDatabase();
const { limit = 1000 } = req.body as { limit: number };
let skip = 0;
const total = await Chat.countDocuments({
chatId: { $exists: false }
});
let promise = Promise.resolve();
console.log(total);
for (let i = 0; i < total; i += limit) {
const skipVal = skip;
skip += limit;
promise = promise
.then(() => init(limit, skipVal))
.then(() => {
console.log(skipVal);
});
}
await promise;
jsonRes(res, {});
} catch (error) {
jsonRes(res, {
code: 500,
error
});
}
}
async function init(limit: number, skip: number) {
// 遍历 app
const chats = await Chat.find(
{
chatId: { $exists: false }
},
'_id'
)
.limit(limit)
.skip(skip);
await Promise.all(
chats.map((chat) =>
Chat.findByIdAndUpdate(chat._id, {
chatId: String(chat._id),
source: 'online'
})
)
);
}

View File

@@ -1,430 +0,0 @@
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { authUser } from '@/service/utils/auth';
import { connectToDatabase, App } from '@/service/mongo';
import { AppModuleInputItemType } from '@/types/app';
import { FlowModuleTypeEnum, SpecialInputKeyEnum } from '@/constants/flow';
import { TaskResponseKeyEnum } from '@/constants/chat';
const chatModelInput = ({
model,
temperature,
maxToken,
systemPrompt,
limitPrompt,
kbList
}: {
model: string;
temperature: number;
maxToken: number;
systemPrompt: string;
limitPrompt: string;
kbList: { kbId: string }[];
}): AppModuleInputItemType[] => [
{
key: 'model',
value: model,
connected: true
},
{
key: 'temperature',
value: temperature,
connected: true
},
{
key: 'maxToken',
value: maxToken,
connected: true
},
{
key: 'systemPrompt',
value: systemPrompt,
connected: true
},
{
key: 'limitPrompt',
value: limitPrompt,
connected: true
},
{
key: 'switch',
connected: kbList.length > 0
},
{
key: 'quoteQA',
connected: kbList.length > 0
},
{
key: 'history',
connected: true
},
{
key: 'userChatInput',
connected: true
}
];
const chatTemplate = ({
model,
temperature,
maxToken,
systemPrompt,
limitPrompt
}: {
model: string;
temperature: number;
maxToken: number;
systemPrompt: string;
limitPrompt: string;
}) => {
return [
{
flowType: FlowModuleTypeEnum.questionInput,
inputs: [
{
key: 'userChatInput',
connected: true
}
],
outputs: [
{
key: 'userChatInput',
targets: [
{
moduleId: 'chatModule',
key: 'userChatInput'
}
]
}
],
position: {
x: 464.32198615344566,
y: 1602.2698463081606
},
moduleId: 'userChatInput'
},
{
flowType: FlowModuleTypeEnum.historyNode,
inputs: [
{
key: 'maxContext',
value: 10,
connected: true
},
{
key: 'history',
connected: true
}
],
outputs: [
{
key: 'history',
targets: [
{
moduleId: 'chatModule',
key: 'history'
}
]
}
],
position: {
x: 452.5466249541586,
y: 1276.3930310334215
},
moduleId: 'history'
},
{
flowType: FlowModuleTypeEnum.chatNode,
inputs: chatModelInput({
model,
temperature,
maxToken,
systemPrompt,
limitPrompt,
kbList: []
}),
outputs: [
{
key: TaskResponseKeyEnum.answerText,
targets: []
}
],
position: {
x: 981.9682828103937,
y: 890.014595014464
},
moduleId: 'chatModule'
}
];
};
const kbTemplate = ({
model,
temperature,
maxToken,
systemPrompt,
limitPrompt,
kbList = [],
searchSimilarity,
searchLimit,
searchEmptyText
}: {
model: string;
temperature: number;
maxToken: number;
systemPrompt: string;
limitPrompt: string;
kbList: { kbId: string }[];
searchSimilarity: number;
searchLimit: number;
searchEmptyText: string;
}) => {
return [
{
flowType: FlowModuleTypeEnum.questionInput,
inputs: [
{
key: 'userChatInput',
connected: true
}
],
outputs: [
{
key: 'userChatInput',
targets: [
{
moduleId: 'chatModule',
key: 'userChatInput'
},
{
moduleId: 'kbSearch',
key: 'userChatInput'
}
]
}
],
position: {
x: 464.32198615344566,
y: 1602.2698463081606
},
moduleId: 'userChatInput'
},
{
flowType: FlowModuleTypeEnum.historyNode,
inputs: [
{
key: 'maxContext',
value: 10,
connected: true
},
{
key: 'history',
connected: true
}
],
outputs: [
{
key: 'history',
targets: [
{
moduleId: 'chatModule',
key: 'history'
}
]
}
],
position: {
x: 452.5466249541586,
y: 1276.3930310334215
},
moduleId: 'history'
},
{
flowType: FlowModuleTypeEnum.kbSearchNode,
inputs: [
{
key: 'kbList',
value: kbList,
connected: true
},
{
key: 'similarity',
value: searchSimilarity,
connected: true
},
{
key: 'limit',
value: searchLimit,
connected: true
},
{
key: 'switch',
connected: false
},
{
key: 'userChatInput',
connected: true
}
],
outputs: [
{
key: 'isEmpty',
targets: searchEmptyText
? [
{
moduleId: 'emptyText',
key: 'switch'
}
]
: [
{
moduleId: 'chatModule',
key: 'switch'
}
]
},
{
key: 'unEmpty',
targets: [
{
moduleId: 'chatModule',
key: 'switch'
}
]
},
{
key: 'quoteQA',
targets: [
{
moduleId: 'chatModule',
key: 'quoteQA'
}
]
}
],
position: {
x: 956.0838440206068,
y: 887.462827870246
},
moduleId: 'kbSearch'
},
...(searchEmptyText
? [
{
flowType: FlowModuleTypeEnum.answerNode,
inputs: [
{
key: 'switch',
connected: true
},
{
key: SpecialInputKeyEnum.answerText,
value: searchEmptyText,
connected: true
}
],
outputs: [],
position: {
x: 1553.5815811529146,
y: 637.8753731306779
},
moduleId: 'emptyText'
}
]
: []),
{
flowType: FlowModuleTypeEnum.chatNode,
inputs: chatModelInput({ model, temperature, maxToken, systemPrompt, limitPrompt, kbList }),
outputs: [
{
key: TaskResponseKeyEnum.answerText,
targets: []
}
],
position: {
x: 1551.71405495818,
y: 977.4911578918461
},
moduleId: 'chatModule'
}
];
};
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
await authUser({ req, authRoot: true });
await connectToDatabase();
const { limit = 1000 } = req.body as { limit: number };
let skip = 0;
const total = await App.countDocuments();
let promise = Promise.resolve();
console.log(total);
for (let i = 0; i < total; i += limit) {
const skipVal = skip;
skip += limit;
promise = promise
.then(() => init(limit, skipVal))
.then(() => {
console.log(skipVal);
});
}
await promise;
jsonRes(res, {});
} catch (error) {
jsonRes(res, {
code: 500,
error
});
}
}
async function init(limit: number, skip: number) {
// 遍历 app
const apps = await App.find(
{
chat: { $ne: null },
modules: { $exists: false }
// userId: '63f9a14228d2a688d8dc9e1b'
},
'_id chat'
)
.limit(limit)
.skip(skip);
return Promise.all(
apps.map(async (app) => {
if (!app.chat) return app;
const modules = (() => {
if (app.chat.relatedKbs.length === 0) {
return chatTemplate({
model: app.chat.chatModel,
temperature: app.chat.temperature,
maxToken: app.chat.maxToken,
systemPrompt: app.chat.systemPrompt,
limitPrompt: app.chat.limitPrompt
});
} else {
return kbTemplate({
model: app.chat.chatModel,
temperature: app.chat.temperature,
maxToken: app.chat.maxToken,
systemPrompt: app.chat.systemPrompt,
limitPrompt: app.chat.limitPrompt,
kbList: app.chat.relatedKbs.map((id) => ({ kbId: id })),
searchEmptyText: app.chat.searchEmptyText,
searchLimit: app.chat.searchLimit,
searchSimilarity: app.chat.searchSimilarity
});
}
})();
await App.findByIdAndUpdate(app.id, {
modules
});
return modules;
})
);
}

View File

@@ -1,57 +0,0 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { connectToDatabase, Chat } from '@/service/mongo';
import { authUser } from '@/service/utils/auth';
import { Types } from 'mongoose';
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
let {
chatId,
contentId,
quoteId,
sourceText = ''
} = req.body as {
chatId: string;
contentId: string;
quoteId: string;
sourceText: string;
};
await connectToDatabase();
const { userId } = await authUser({ req, authToken: true });
if (!contentId || !chatId || !quoteId) {
throw new Error('params is error');
}
await Chat.updateOne(
{
chatId,
userId: new Types.ObjectId(userId),
'content._id': new Types.ObjectId(contentId)
},
{
$set: {
'content.$.rawSearch.$[quoteElem].source': sourceText
}
},
{
arrayFilters: [
{
'quoteElem.id': quoteId
}
]
}
);
jsonRes(res, {
data: ''
});
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}

View File

@@ -1,37 +0,0 @@
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { connectToDatabase, OpenApi } from '@/service/mongo';
import { authUser } from '@/service/utils/auth';
import { UserOpenApiKey } from '@/types/openapi';
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
const { userId } = await authUser({ req, authToken: true });
await connectToDatabase();
const findResponse = await OpenApi.find({ userId }).sort({ _id: -1 });
// jus save four data
const apiKeys = findResponse.map<UserOpenApiKey>(
({ _id, apiKey, createTime, lastUsedTime }) => {
return {
id: _id,
apiKey: `******${apiKey.substring(apiKey.length - 4)}`,
createTime,
lastUsedTime
};
}
);
jsonRes(res, {
data: apiKeys
});
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}

View File

@@ -1,171 +0,0 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { connectToDatabase, TrainingData } from '@/service/mongo';
import { authUser } from '@/service/utils/auth';
import { authKb } from '@/service/utils/auth';
import { withNextCors } from '@/service/utils/tools';
import { TrainingModeEnum } from '@/constants/plugin';
import { startQueue } from '@/service/utils/tools';
import { PgClient } from '@/service/pg';
import { modelToolMap } from '@/utils/plugin';
export type DateItemType = { a: string; q: string; source?: string };
export type Props = {
kbId: string;
data: DateItemType[];
model: string;
mode: `${TrainingModeEnum}`;
prompt?: string;
};
export type Response = {
insertLen: number;
};
const modeMaxToken = {
[TrainingModeEnum.index]: 6000,
[TrainingModeEnum.qa]: 12000
};
export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
try {
const { kbId, data, mode, prompt, model } = req.body as Props;
if (!kbId || !Array.isArray(data) || !model) {
throw new Error('缺少参数');
}
await connectToDatabase();
// 凭证校验
const { userId } = await authUser({ req });
jsonRes<Response>(res, {
data: await pushDataToKb({
kbId,
data,
userId,
mode,
prompt,
model
})
});
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
});
export async function pushDataToKb({
userId,
kbId,
data,
mode,
prompt,
model
}: { userId: string } & Props): Promise<Response> {
await authKb({
userId,
kbId
});
// 过滤重复的 qa 内容
const set = new Set();
const filterData: DateItemType[] = [];
data.forEach((item) => {
const text = item.q + item.a;
if (mode === TrainingModeEnum.qa) {
// count token
const token = modelToolMap.countTokens({
model: 'gpt-3.5-turbo-16k',
messages: [{ obj: 'System', value: item.q }]
});
if (token > modeMaxToken[TrainingModeEnum.qa]) {
return;
}
}
if (!set.has(text)) {
filterData.push(item);
set.add(text);
}
});
// 数据库去重
const insertData = (
await Promise.allSettled(
filterData.map(async ({ q, a = '', source }) => {
if (mode !== TrainingModeEnum.index) {
return Promise.resolve({
q,
a,
source
});
}
if (!q) {
return Promise.reject('q为空');
}
q = q.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
a = a.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
// Exactly the same data, not push
try {
const { rows } = await PgClient.query(`
SELECT COUNT(*) > 0 AS exists
FROM modelData
WHERE md5(q)=md5('${q}') AND md5(a)=md5('${a}') AND user_id='${userId}' AND kb_id='${kbId}'
`);
const exists = rows[0]?.exists || false;
if (exists) {
return Promise.reject('已经存在');
}
} catch (error) {
console.log(error);
error;
}
return Promise.resolve({
q,
a,
source
});
})
)
)
.filter((item) => item.status === 'fulfilled')
.map<DateItemType>((item: any) => item.value);
// 插入记录
await TrainingData.insertMany(
insertData.map((item) => ({
q: item.q,
a: item.a,
model,
source: item.source,
userId,
kbId,
mode,
prompt
}))
);
insertData.length > 0 && startQueue();
return {
insertLen: insertData.length
};
}
export const config = {
api: {
bodyParser: {
sizeLimit: '20mb'
}
}
};

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@@ -1,67 +0,0 @@
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { authUser } from '@/service/utils/auth';
import type { ChatItemType } from '@/types/chat';
import { countOpenAIToken } from '@/utils/plugin/openai';
import { OpenAiChatEnum } from '@/constants/model';
type ModelType = `${OpenAiChatEnum}`;
type Props = {
messages: ChatItemType[];
model: ModelType;
maxLen: number;
};
type Response = ChatItemType[];
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
await authUser({ req });
const { messages, model, maxLen } = req.body as Props;
if (!Array.isArray(messages) || !model || !maxLen) {
throw new Error('params is error');
}
return jsonRes<Response>(res, {
data: gpt_chatItemTokenSlice({
messages,
model,
maxToken: maxLen
})
});
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}
export function gpt_chatItemTokenSlice({
messages,
model = 'gpt-3.5-turbo',
maxToken
}: {
messages: ChatItemType[];
model?: string;
maxToken: number;
}) {
let result: ChatItemType[] = [];
for (let i = 0; i < messages.length; i++) {
const msgs = [...result, messages[i]];
const tokens = countOpenAIToken({ messages: msgs, model });
if (tokens < maxToken) {
result = msgs;
} else {
break;
}
}
return result.length === 0 && messages[0] ? [messages[0]] : result;
}

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@@ -1,55 +0,0 @@
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { authUser } from '@/service/utils/auth';
import axios from 'axios';
import { axiosConfig } from '@/service/ai/openai';
export type Props = {
input: string;
};
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
await authUser({ req });
const result = await sensitiveCheck(req.body);
jsonRes(res, {
data: result,
message: result
});
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}
export async function sensitiveCheck({ input }: Props) {
if (!global.systemEnv.sensitiveCheck) {
return Promise.resolve('');
}
const response = await axios({
...axiosConfig(),
method: 'POST',
url: `/moderations`,
data: {
input
}
});
const data = (response.data.results?.[0]?.category_scores as Record<string, number>) || {};
const values = Object.values(data);
for (const val of values) {
if (val > 0.2) {
return Promise.reject('您的内容不合规');
}
}
return '';
}

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@@ -1,80 +0,0 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { connectToDatabase, User } from '@/service/mongo';
import { authUser } from '@/service/utils/auth';
import { PgClient } from '@/service/pg';
export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
try {
let { kbId } = req.query as {
kbId: string;
};
if (!kbId) {
throw new Error('缺少参数');
}
await connectToDatabase();
// 凭证校验
const { userId } = await authUser({ req, authToken: true });
const thirtyMinutesAgo = new Date(Date.now() - 30 * 60 * 1000);
// auth export times
const authTimes = await User.findOne(
{
_id: userId,
$or: [
{ 'limit.exportKbTime': { $exists: false } },
{ 'limit.exportKbTime': { $lte: thirtyMinutesAgo } }
]
},
'_id limit'
);
if (!authTimes) {
throw new Error('上次导出未到半小时,每半小时仅可导出一次。');
}
// 统计数据
const count = await PgClient.count('modelData', {
where: [['kb_id', kbId], 'AND', ['user_id', userId]]
});
// 从 pg 中获取所有数据
const pgData = await PgClient.select<{ q: string; a: string; source: string }>('modelData', {
where: [['kb_id', kbId], 'AND', ['user_id', userId]],
fields: ['q', 'a', 'source'],
order: [{ field: 'id', mode: 'DESC' }],
limit: count
});
const data: [string, string, string][] = pgData.rows.map((item) => [
item.q.replace(/\n/g, '\\n'),
item.a.replace(/\n/g, '\\n'),
item.source
]);
// update export time
await User.findByIdAndUpdate(userId, {
'limit.exportKbTime': new Date()
});
jsonRes(res, {
data
});
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}
export const config = {
api: {
bodyParser: {
sizeLimit: '100mb'
}
}
};

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@@ -1,55 +0,0 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { connectToDatabase, KB, App, TrainingData } from '@/service/mongo';
import { authUser } from '@/service/utils/auth';
import { PgClient } from '@/service/pg';
import { Types } from 'mongoose';
export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
try {
const { id } = req.query as {
id: string;
};
if (!id) {
throw new Error('缺少参数');
}
// 凭证校验
const { userId } = await authUser({ req, authToken: true });
await connectToDatabase();
// delete all pg data
await PgClient.delete('modelData', {
where: [['user_id', userId], 'AND', ['kb_id', id]]
});
// delete training data
await TrainingData.deleteMany({
userId,
kbId: id
});
// delete related app
await App.updateMany(
{
userId
},
{ $pull: { 'chat.relatedKbs': new Types.ObjectId(id) } }
);
// delete kb data
await KB.findOneAndDelete({
_id: id,
userId
});
jsonRes(res);
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}

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@@ -1,114 +0,0 @@
import type { FeConfigsType, SystemEnvType } from '@/types';
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { readFileSync } from 'fs';
import {
type QAModelItemType,
type ChatModelItemType,
type VectorModelItemType
} from '@/types/model';
export type InitDateResponse = {
chatModels: ChatModelItemType[];
qaModels: QAModelItemType[];
vectorModels: VectorModelItemType[];
systemEnv: SystemEnvType;
feConfigs: FeConfigsType;
};
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
if (!global.feConfigs) {
await getInitConfig();
}
jsonRes<InitDateResponse>(res, {
data: {
systemEnv: global.systemEnv,
feConfigs: global.feConfigs,
chatModels: global.chatModels,
qaModels: global.qaModels,
vectorModels: global.vectorModels
}
});
}
const defaultSystemEnv = {
vectorMaxProcess: 15,
qaMaxProcess: 15,
pgIvfflatProbe: 20,
sensitiveCheck: false
};
const defaultFeConfigs = {
show_emptyChat: true,
show_register: true,
show_appStore: false,
show_userDetail: true,
show_git: true,
systemTitle: 'FastAI',
authorText: 'Made by FastAI Team.'
};
const defaultChatModels = [
{
model: 'gpt-3.5-turbo',
name: 'FastAI-4k',
contextMaxToken: 4000,
quoteMaxToken: 2400,
maxTemperature: 1.2,
price: 1.5
},
{
model: 'gpt-3.5-turbo-16k',
name: 'FastAI-16k',
contextMaxToken: 16000,
quoteMaxToken: 8000,
maxTemperature: 1.2,
price: 3
},
{
model: 'gpt-4',
name: 'FastAI-Plus',
contextMaxToken: 8000,
quoteMaxToken: 4000,
maxTemperature: 1.2,
price: 45
}
];
const defaultQAModels = [
{
model: 'gpt-3.5-turbo-16k',
name: 'FastAI-16k',
maxToken: 16000,
price: 3
}
];
const defaultVectorModels = [
{
model: 'text-embedding-ada-002',
name: 'Embedding-2',
price: 0.2
}
];
export async function getInitConfig() {
try {
const filename = process.env.NODE_ENV === 'development' ? 'config.json.local' : 'config.json';
const res = JSON.parse(readFileSync(`data/${filename}`, 'utf-8'));
console.log(res);
global.systemEnv = res.SystemParams || defaultSystemEnv;
global.feConfigs = res.FeConfig || defaultFeConfigs;
global.chatModels = res.ChatModels || defaultChatModels;
global.qaModels = res.QAModels || defaultQAModels;
global.vectorModels = res.VectorModels || defaultVectorModels;
} catch (error) {
setDefaultData();
console.log('get init config error, set default');
}
}
export function setDefaultData() {
global.systemEnv = defaultSystemEnv;
global.feConfigs = defaultFeConfigs;
global.chatModels = defaultChatModels;
global.qaModels = defaultQAModels;
global.vectorModels = defaultVectorModels;
}

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@@ -1,72 +0,0 @@
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { User } from '@/service/models/user';
import { AuthCode } from '@/service/models/authCode';
import { connectToDatabase } from '@/service/mongo';
import { setCookie } from '@/service/utils/tools';
import { UserAuthTypeEnum } from '@/constants/common';
export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
try {
const { username, code, password, inviterId } = req.body;
if (!username || !code || !password) {
throw new Error('缺少参数');
}
await connectToDatabase();
// 验证码校验
const authCode = await AuthCode.findOne({
username,
code,
type: UserAuthTypeEnum.register,
expiredTime: { $gte: Date.now() }
});
if (!authCode) {
throw new Error('验证码错误');
}
// 重名校验
const authRepeat = await User.findOne({
username
});
if (authRepeat) {
throw new Error('该用户已被注册');
}
const response = await User.create({
username,
password,
inviterId: inviterId ? inviterId : undefined
});
// 根据 id 获取用户信息
const user = await User.findById(response._id);
if (!user) {
throw new Error('获取用户信息异常');
}
// 删除验证码记录
await AuthCode.deleteMany({
username
});
setCookie(res, user._id);
jsonRes(res, {
data: {
user
}
});
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}

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@@ -1,64 +0,0 @@
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { User } from '@/service/models/user';
import { AuthCode } from '@/service/models/authCode';
import { connectToDatabase } from '@/service/mongo';
import { UserAuthTypeEnum } from '@/constants/common';
import { setCookie } from '@/service/utils/tools';
export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
try {
const { username, code, password } = req.body;
if (!username || !code || !password) {
throw new Error('缺少参数');
}
await connectToDatabase();
// 验证码校验
const authCode = await AuthCode.findOne({
username,
code,
type: UserAuthTypeEnum.findPassword,
expiredTime: { $gte: Date.now() }
});
if (!authCode) {
throw new Error('验证码错误');
}
// 更新对应的记录
await User.updateOne(
{
username
},
{
password
}
);
// 根据 username 获取用户信息
const user = await User.findOne({
username
});
if (!user) {
throw new Error('获取用户信息异常');
}
setCookie(res, user._id);
jsonRes(res, {
data: {
user
}
});
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}

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@@ -1,112 +0,0 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { connectToDatabase, User, Pay, TrainingData } from '@/service/mongo';
import { authUser } from '@/service/utils/auth';
import { PaySchema } from '@/types/mongoSchema';
import dayjs from 'dayjs';
import { getPayResult } from '@/service/utils/wxpay';
import { startQueue } from '@/service/utils/tools';
/* 校验支付结果 */
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
const { payId } = req.query as { payId: string };
const { userId } = await authUser({ req, authToken: true });
await connectToDatabase();
// 查找订单记录校验
const payOrder = await Pay.findById<PaySchema>(payId);
if (!payOrder) {
throw new Error('订单不存在');
}
if (payOrder.status !== 'NOTPAY') {
throw new Error('订单已结算');
}
// 获取当前用户
const user = await User.findById(userId);
if (!user) {
throw new Error('找不到用户');
}
const payRes = await getPayResult(payOrder.orderId);
// 校验下是否超过一天
const orderTime = dayjs(payOrder.createTime);
const diffInHours = dayjs().diff(orderTime, 'hours');
if (payRes.trade_state === 'SUCCESS') {
// 订单已支付
try {
// 更新订单状态. 如果没有合适的订单,说明订单重复了
const updateRes = await Pay.updateOne(
{
_id: payId,
status: 'NOTPAY'
},
{
status: 'SUCCESS'
}
);
if (updateRes.modifiedCount === 1) {
// 给用户账号充钱
await User.findByIdAndUpdate(userId, {
$inc: { balance: payOrder.price }
});
unlockTask(userId);
return jsonRes(res, {
data: '支付成功'
});
}
} catch (error) {
console.log(error);
// roll back status
try {
await Pay.findByIdAndUpdate(payId, {
status: 'NOTPAY'
});
} catch (error) {}
}
return jsonRes(res, {
code: 500,
data: '更新订单失败,请重试'
});
}
if (payRes.trade_state === 'CLOSED' || diffInHours > 24) {
// 订单已关闭
await Pay.findByIdAndUpdate(payId, {
status: 'CLOSED'
});
return jsonRes(res, {
data: '订单已过期'
});
}
throw new Error(payRes?.trade_state_desc || '订单无效');
} catch (err) {
// console.log(err);
jsonRes(res, {
code: 500,
error: err
});
}
}
async function unlockTask(userId: string) {
try {
await TrainingData.updateMany(
{
userId
},
{
lockTime: new Date('2000/1/1')
}
);
startQueue();
} catch (error) {
unlockTask(userId);
}
}

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@@ -1,43 +0,0 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { authUser } from '@/service/utils/auth';
import { customAlphabet } from 'nanoid';
import { connectToDatabase, Pay } from '@/service/mongo';
import { PRICE_SCALE } from '@/constants/common';
import { nativePay } from '@/service/utils/wxpay';
const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 20);
/* 获取支付二维码 */
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
let { amount = 0 } = req.query as { amount: string };
amount = +amount;
const { userId } = await authUser({ req, authToken: true });
const id = nanoid();
await connectToDatabase();
const code_url = await nativePay(amount * 100, id);
// 充值记录 + 1
const payOrder = await Pay.create({
userId,
price: amount * PRICE_SCALE,
orderId: id
});
jsonRes(res, {
data: {
payId: payOrder._id,
codeUrl: code_url
}
});
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}

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@@ -1,76 +0,0 @@
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { AuthCode } from '@/service/models/authCode';
import { connectToDatabase } from '@/service/mongo';
import { sendPhoneCode, sendEmailCode } from '@/service/utils/sendNote';
import { UserAuthTypeEnum } from '@/constants/common';
import { customAlphabet } from 'nanoid';
const nanoid = customAlphabet('123456789', 6);
import { authGoogleToken } from '@/utils/plugin/google';
import requestIp from 'request-ip';
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
const { username, type, googleToken } = req.body as {
username: string;
type: `${UserAuthTypeEnum}`;
googleToken: string;
};
if (!username || !type) {
throw new Error('缺少参数');
}
// google auth
global.systemEnv.googleServiceVerKey &&
(await authGoogleToken({
secret: global.systemEnv.googleServiceVerKey,
response: googleToken,
remoteip: requestIp.getClientIp(req) || undefined
}));
await connectToDatabase();
// register switch
if (type === UserAuthTypeEnum.register && !global.feConfigs?.show_register) {
throw new Error('Register is closed');
}
const code = nanoid();
// 判断 1 分钟内是否有重复数据
const authCode = await AuthCode.findOne({
username,
type,
expiredTime: { $gte: Date.now() + 4 * 60 * 1000 } // 如果有一个记录的过期时间,大于当前+4分钟说明距离上次发送还没到1分钟。因为默认创建时过期时间是未来5分钟
});
if (authCode) {
throw new Error('请勿频繁获取验证码');
}
// 创建 auth 记录
await AuthCode.create({
username,
type,
code
});
if (username.includes('@')) {
await sendEmailCode(username, code, type);
} else {
// 发送验证码
await sendPhoneCode(username, code);
}
jsonRes(res, {
message: '发送验证码成功'
});
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}

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@@ -1,92 +0,0 @@
import React, { useEffect, useState } from 'react';
import { Box, Divider, Flex, useTheme, Button, Skeleton, useDisclosure } from '@chakra-ui/react';
import { useCopyData } from '@/utils/tools';
import dynamic from 'next/dynamic';
import MyIcon from '@/components/Icon';
import { useGlobalStore } from '@/store/global';
const APIKeyModal = dynamic(() => import('@/components/APIKeyModal'), {
ssr: false
});
const API = ({ appId }: { appId: string }) => {
const theme = useTheme();
const { copyData } = useCopyData();
const [baseUrl, setBaseUrl] = useState('https://fastgpt.run/api/openapi');
const {
isOpen: isOpenAPIModal,
onOpen: onOpenAPIModal,
onClose: onCloseAPIModal
} = useDisclosure();
const [isLoaded, setIsLoaded] = useState(false);
const { isPc } = useGlobalStore();
useEffect(() => {
setBaseUrl(`${location.origin}/api/openapi`);
}, []);
return (
<Flex flexDirection={'column'} pt={[0, 5]} h={'100%'}>
<Flex px={5} alignItems={'center'}>
<Box flex={1}>
AppId:
<Box
as={'span'}
ml={2}
fontWeight={'bold'}
cursor={'pointer'}
onClick={() => copyData(appId, '已复制 AppId')}
>
{appId}
</Box>
</Box>
{isPc && (
<>
<Flex
bg={'myWhite.600'}
py={2}
px={4}
borderRadius={'md'}
cursor={'pointer'}
onClick={() => copyData(baseUrl, '已复制 API 地址')}
>
<Box border={theme.borders.md} px={2} borderRadius={'md'} fontSize={'sm'}>
API服务器
</Box>
<Box ml={2} color={'myGray.900'} fontSize={['sm', 'md']}>
{baseUrl}
</Box>
</Flex>
<Button
ml={3}
leftIcon={<MyIcon name={'apikey'} w={'16px'} color={''} />}
variant={'base'}
onClick={onOpenAPIModal}
>
API
</Button>
</>
)}
</Flex>
<Divider mt={3} />
<Box flex={'1 0 0'} h={0}>
<Skeleton h="100%" isLoaded={isLoaded} fadeDuration={2}>
<iframe
style={{
width: '100%',
height: '100%'
}}
src="https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh"
frameBorder="0"
onLoad={() => setIsLoaded(true)}
onError={() => setIsLoaded(true)}
/>
</Skeleton>
</Box>
{isOpenAPIModal && <APIKeyModal onClose={onCloseAPIModal} />}
</Flex>
);
};
export default API;

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@@ -1,125 +0,0 @@
import React, { useMemo } from 'react';
import { NodeProps } from 'reactflow';
import NodeCard from '../modules/NodeCard';
import { FlowModuleItemType } from '@/types/flow';
import Divider from '../modules/Divider';
import Container from '../modules/Container';
import RenderInput from '../render/RenderInput';
import RenderOutput from '../render/RenderOutput';
import { FlowOutputItemTypeEnum } from '@/constants/flow';
import MySelect from '@/components/Select';
import { chatModelList } from '@/store/static';
import MySlider from '@/components/Slider';
import { Box } from '@chakra-ui/react';
import { formatPrice } from '@/utils/user';
const NodeChat = ({
data: { moduleId, inputs, outputs, onChangeNode, ...props }
}: NodeProps<FlowModuleItemType>) => {
const outputsLen = useMemo(
() => outputs.filter((item) => item.type !== FlowOutputItemTypeEnum.hidden).length,
[outputs]
);
return (
<NodeCard minW={'400px'} moduleId={moduleId} {...props}>
<Divider text="Input" />
<Container>
<RenderInput
moduleId={moduleId}
onChangeNode={onChangeNode}
flowInputList={inputs}
CustomComponent={{
model: (inputItem) => {
const list = chatModelList.map((item) => {
const priceStr = `(${formatPrice(item.price, 1000)}元/1k Tokens)`;
return {
value: item.model,
label: `${item.name}${priceStr}`
};
});
return (
<MySelect
width={'100%'}
value={inputItem.value}
list={list}
onchange={(e) => {
onChangeNode({
moduleId,
key: inputItem.key,
value: e
});
// update max tokens
const model = chatModelList.find((item) => item.model === e);
if (!model) return;
onChangeNode({
moduleId,
key: 'maxToken',
valueKey: 'markList',
value: [
{ label: '100', value: 100 },
{ label: `${model.contextMaxToken}`, value: model.contextMaxToken }
]
});
onChangeNode({
moduleId,
key: 'maxToken',
valueKey: 'max',
value: model.contextMaxToken
});
onChangeNode({
moduleId,
key: 'maxToken',
valueKey: 'value',
value: model.contextMaxToken / 2
});
}}
/>
);
},
maxToken: (inputItem) => {
const model = inputs.find((item) => item.key === 'model')?.value;
const modelData = chatModelList.find((item) => item.model === model);
const maxToken = modelData ? modelData.contextMaxToken : 4000;
const markList = [
{ label: '100', value: 100 },
{ label: `${maxToken}`, value: maxToken }
];
return (
<Box pt={5} pb={4} px={2}>
<MySlider
markList={markList}
width={'100%'}
min={inputItem.min || 100}
max={maxToken}
step={inputItem.step || 1}
value={inputItem.value}
onChange={(e) => {
onChangeNode({
moduleId,
key: inputItem.key,
value: e
});
}}
/>
</Box>
);
}
}}
/>
</Container>
{outputsLen > 0 && (
<>
<Divider text="Output" />
<Container>
<RenderOutput flowOutputList={outputs} />
</Container>
</>
)}
</NodeCard>
);
};
export default React.memo(NodeChat);

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@@ -1,55 +0,0 @@
import React, { useMemo } from 'react';
import { NodeProps } from 'reactflow';
import { Box, Flex, Textarea } from '@chakra-ui/react';
import { QuestionOutlineIcon } from '@chakra-ui/icons';
import NodeCard from '../modules/NodeCard';
import { FlowModuleItemType } from '@/types/flow';
import Container from '../modules/Container';
import { SystemInputEnum } from '@/constants/app';
import MyIcon from '@/components/Icon';
import MyTooltip from '@/components/MyTooltip';
import { welcomeTextTip } from '@/constants/flow/ModuleTemplate';
const NodeUserGuide = ({
data: { inputs, outputs, onChangeNode, ...props }
}: NodeProps<FlowModuleItemType>) => {
const welcomeText = useMemo(
() => inputs.find((item) => item.key === SystemInputEnum.welcomeText)?.value,
[inputs]
);
return (
<>
<NodeCard minW={'300px'} {...props}>
<Container borderTop={'2px solid'} borderTopColor={'myGray.200'}>
<>
<Flex mb={1} alignItems={'center'}>
<MyIcon name={'welcomeText'} mr={2} w={'16px'} color={'#E74694'} />
<Box></Box>
<MyTooltip label={welcomeTextTip} forceShow>
<QuestionOutlineIcon display={['none', 'inline']} ml={1} />
</MyTooltip>
</Flex>
<Textarea
className="nodrag"
rows={6}
resize={'both'}
defaultValue={welcomeText}
bg={'myWhite.500'}
placeholder={welcomeTextTip}
onChange={(e) => {
onChangeNode({
moduleId: props.moduleId,
key: SystemInputEnum.welcomeText,
type: 'inputs',
value: e.target.value
});
}}
/>
</>
</Container>
</NodeCard>
</>
);
};
export default React.memo(NodeUserGuide);

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@@ -1,67 +0,0 @@
import React from 'react';
import { Box, Flex, useTheme } from '@chakra-ui/react';
import MyIcon from '@/components/Icon';
import Avatar from '@/components/Avatar';
import type { FlowModuleItemType } from '@/types/flow';
import MyTooltip from '@/components/MyTooltip';
import { QuestionOutlineIcon } from '@chakra-ui/icons';
type Props = {
children?: React.ReactNode | React.ReactNode[] | string;
logo: string;
name: string;
description?: string;
intro: string;
minW?: string | number;
moduleId: string;
onDelNode: FlowModuleItemType['onDelNode'];
};
const NodeCard = ({
children,
logo = '/icon/logo.png',
name = '未知模块',
description,
minW = '300px',
onDelNode,
moduleId
}: Props) => {
const theme = useTheme();
return (
<Box minW={minW} bg={'white'} border={theme.borders.md} borderRadius={'md'} boxShadow={'sm'}>
<Flex className="custom-drag-handle" px={4} py={3} alignItems={'center'}>
<Avatar src={logo} borderRadius={'md'} objectFit={'contain'} w={'30px'} h={'30px'} />
<Box ml={3} fontSize={'lg'} color={'myGray.600'}>
{name}
</Box>
{description && (
<MyTooltip label={description} forceShow>
<QuestionOutlineIcon
display={['none', 'inline']}
transform={'translateY(-1px)'}
ml={1}
/>
</MyTooltip>
)}
<Box flex={1} />
<Flex
className={'nodrag'}
w={'22px'}
h={'22px'}
alignItems={'center'}
justifyContent={'center'}
color={'myGray.600'}
_hover={{ color: 'red.600' }}
cursor={'pointer'}
onClick={() => onDelNode(moduleId)}
>
<MyIcon name="delete" w={'16px'} />
</Flex>
</Flex>
{children}
</Box>
);
};
export default React.memo(NodeCard);

View File

@@ -1,47 +0,0 @@
import React from 'react';
import type { FlowOutputItemType } from '@/types/flow';
import { Box, Flex } from '@chakra-ui/react';
import { FlowOutputItemTypeEnum } from '@/constants/flow';
import { QuestionOutlineIcon } from '@chakra-ui/icons';
import { Handle, Position } from 'reactflow';
import MyTooltip from '@/components/MyTooltip';
import SourceHandle from './SourceHandle';
const Label = ({
children,
description
}: {
children: React.ReactNode | string;
description?: string;
}) => (
<Flex as={'label'} justifyContent={'right'} alignItems={'center'} position={'relative'}>
{description && (
<MyTooltip label={description} forceShow>
<QuestionOutlineIcon display={['none', 'inline']} transform={'translateY(-1px)'} mr={1} />
</MyTooltip>
)}
{children}
</Flex>
);
const RenderBody = ({ flowOutputList }: { flowOutputList: FlowOutputItemType[] }) => {
return (
<>
{flowOutputList.map(
(item) =>
item.type !== FlowOutputItemTypeEnum.hidden && (
<Box key={item.key} _notLast={{ mb: 7 }} position={'relative'}>
<Label description={item.description}>{item.label}</Label>
<Box mt={FlowOutputItemTypeEnum.answer ? 0 : 2} className={'nodrag'}>
{item.type === FlowOutputItemTypeEnum.source && (
<SourceHandle handleKey={item.key} valueType={item.valueType} />
)}
</Box>
</Box>
)
)}
</>
);
};
export default React.memo(RenderBody);

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@@ -1,214 +0,0 @@
import React, { useState } from 'react';
import {
Card,
Flex,
Box,
Button,
ModalBody,
ModalHeader,
ModalFooter,
useTheme,
Textarea
} from '@chakra-ui/react';
import Avatar from '@/components/Avatar';
import { KbListItemType } from '@/types/plugin';
import { useForm } from 'react-hook-form';
import { QuestionOutlineIcon } from '@chakra-ui/icons';
import type { SelectedKbType } from '@/types/plugin';
import { useGlobalStore } from '@/store/global';
import MySlider from '@/components/Slider';
import MyTooltip from '@/components/MyTooltip';
import MyModal from '@/components/MyModal';
export type KbParamsType = {
searchSimilarity: number;
searchLimit: number;
searchEmptyText: string;
};
export const KBSelectModal = ({
kbList,
activeKbs = [],
onChange,
onClose
}: {
kbList: KbListItemType[];
activeKbs: SelectedKbType;
onChange: (e: SelectedKbType) => void;
onClose: () => void;
}) => {
const theme = useTheme();
const [selectedKbList, setSelectedKbList] = useState<SelectedKbType>(activeKbs);
const { isPc } = useGlobalStore();
return (
<MyModal
isOpen={true}
isCentered={!isPc}
maxW={['90vw', '800px']}
w={'800px'}
onClose={onClose}
>
<Flex flexDirection={'column'} h={['90vh', 'auto']}>
<ModalHeader>({selectedKbList.length})</ModalHeader>
<ModalBody
flex={['1 0 0', '0 0 auto']}
maxH={'80vh'}
overflowY={'auto'}
display={'grid'}
gridTemplateColumns={['repeat(1,1fr)', 'repeat(2,1fr)', 'repeat(3,1fr)']}
gridGap={3}
>
{kbList.map((item) =>
(() => {
const selected = !!selectedKbList.find((kb) => kb.kbId === item._id);
const active = !!activeKbs.find((kb) => kb.kbId === item._id);
return (
<Card
key={item._id}
p={3}
border={theme.borders.base}
boxShadow={'sm'}
h={'80px'}
cursor={'pointer'}
order={active ? 0 : 1}
_hover={{
boxShadow: 'md'
}}
{...(selected
? {
bg: 'myBlue.300'
}
: {})}
onClick={() => {
if (selected) {
setSelectedKbList((state) => state.filter((kb) => kb.kbId !== item._id));
} else {
setSelectedKbList((state) => [...state, { kbId: item._id }]);
}
}}
>
<Flex alignItems={'center'} h={'38px'}>
<Avatar src={item.avatar} w={['24px', '28px', '32px']}></Avatar>
<Box ml={3} fontWeight={'bold'} fontSize={['md', 'lg', 'xl']}>
{item.name}
</Box>
</Flex>
</Card>
);
})()
)}
</ModalBody>
<ModalFooter>
<Button
onClick={() => {
onClose();
onChange(selectedKbList);
}}
>
</Button>
</ModalFooter>
</Flex>
</MyModal>
);
};
export const KbParamsModal = ({
searchEmptyText,
searchLimit,
searchSimilarity,
onClose,
onChange
}: KbParamsType & { onClose: () => void; onChange: (e: KbParamsType) => void }) => {
const [refresh, setRefresh] = useState(false);
const { register, setValue, getValues, handleSubmit } = useForm<KbParamsType>({
defaultValues: {
searchEmptyText,
searchLimit,
searchSimilarity
}
});
return (
<MyModal isOpen={true} onClose={onClose} title={'搜索参数调整'} minW={['90vw', '600px']}>
<Flex flexDirection={'column'}>
<ModalBody>
<Box display={['block', 'flex']} py={5} pt={[0, 5]}>
<Box flex={'0 0 100px'} mb={[8, 0]}>
<MyTooltip label={'高相似度推荐0.8及以上。'} forceShow>
<QuestionOutlineIcon ml={1} />
</MyTooltip>
</Box>
<MySlider
markList={[
{ label: '0', value: 0 },
{ label: '1', value: 1 }
]}
min={0}
max={1}
step={0.01}
value={getValues('searchSimilarity')}
onChange={(val) => {
setValue('searchSimilarity', val);
setRefresh(!refresh);
}}
/>
</Box>
<Box display={['block', 'flex']} py={8}>
<Box flex={'0 0 100px'} mb={[8, 0]}>
</Box>
<Box flex={1}>
<MySlider
markList={[
{ label: '1', value: 1 },
{ label: '20', value: 20 }
]}
min={1}
max={20}
value={getValues('searchLimit')}
onChange={(val) => {
setValue('searchLimit', val);
setRefresh(!refresh);
}}
/>
</Box>
</Box>
<Box display={['block', 'flex']} pt={3}>
<Box flex={'0 0 100px'} mb={[2, 0]}>
</Box>
<Box flex={1}>
<Textarea
rows={5}
maxLength={500}
placeholder={
'若填写该内容,没有搜索到对应内容时,将直接回复填写的内容。\n为了连贯上下文FastGpt 会取部分上一个聊天的搜索记录作为补充,因此在连续对话时,该功能可能会失效。'
}
{...register('searchEmptyText')}
></Textarea>
</Box>
</Box>
</ModalBody>
<ModalFooter>
<Button variant={'base'} mr={3} onClick={onClose}>
</Button>
<Button
onClick={() => {
onClose();
handleSubmit(onChange)();
}}
>
</Button>
</ModalFooter>
</Flex>
</MyModal>
);
};
export default KBSelectModal;

View File

@@ -1,263 +0,0 @@
import React, { useState } from 'react';
import {
Flex,
Box,
Button,
TableContainer,
Table,
Thead,
Tr,
Th,
Td,
Tbody,
useDisclosure,
ModalFooter,
ModalBody,
FormControl,
Input,
useTheme
} from '@chakra-ui/react';
import { QuestionOutlineIcon } from '@chakra-ui/icons';
import MyIcon from '@/components/Icon';
import { useLoading } from '@/hooks/useLoading';
import { useQuery } from '@tanstack/react-query';
import { getShareChatList, delShareChatById, createShareChat } from '@/api/chat';
import { formatTimeToChatTime, useCopyData } from '@/utils/tools';
import { useForm } from 'react-hook-form';
import { defaultShareChat } from '@/constants/model';
import type { ShareChatEditType } from '@/types/app';
import { useRequest } from '@/hooks/useRequest';
import { formatPrice } from '@/utils/user';
import MyTooltip from '@/components/MyTooltip';
import MyModal from '@/components/MyModal';
import MyRadio from '@/components/Radio';
const Share = ({ appId }: { appId: string }) => {
const { Loading, setIsLoading } = useLoading();
const { copyData } = useCopyData();
const {
isOpen: isOpenCreateShareChat,
onOpen: onOpenCreateShareChat,
onClose: onCloseCreateShareChat
} = useDisclosure();
const {
register: registerShareChat,
getValues: getShareChatValues,
setValue: setShareChatValues,
handleSubmit: submitShareChat,
reset: resetShareChat
} = useForm({
defaultValues: defaultShareChat
});
const {
isFetching,
data: shareChatList = [],
refetch: refetchShareChatList
} = useQuery(['initShareChatList', appId], () => getShareChatList(appId));
const { mutate: onclickCreateShareChat, isLoading: creating } = useRequest({
mutationFn: async (e: ShareChatEditType) =>
createShareChat({
...e,
appId
}),
errorToast: '创建分享链接异常',
onSuccess(id) {
onCloseCreateShareChat();
refetchShareChatList();
const url = `${location.origin}/chat/share?shareId=${id}`;
copyData(url, '创建成功。已复制分享地址,可直接分享使用');
resetShareChat(defaultShareChat);
}
});
return (
<Box position={'relative'} pt={[3, 5, 8]} px={[5, 8]} minH={'50vh'}>
<Flex justifyContent={'space-between'}>
<Box fontWeight={'bold'}>
<MyTooltip
forceShow
label="可以直接分享该模型给其他用户去进行对话对方无需登录即可直接进行对话。注意这个功能会消耗你账号的tokens。请保管好链接和密码。"
>
<QuestionOutlineIcon ml={1} />
</MyTooltip>
</Box>
<Button
variant={'base'}
colorScheme={'myBlue'}
size={['sm', 'md']}
{...(shareChatList.length >= 10
? {
isDisabled: true,
title: '最多创建10组'
}
: {})}
onClick={onOpenCreateShareChat}
>
</Button>
</Flex>
<TableContainer mt={3}>
<Table variant={'simple'} w={'100%'} overflowX={'auto'}>
<Thead>
<Tr>
<Th></Th>
<Th></Th>
<Th>使</Th>
<Th></Th>
</Tr>
</Thead>
<Tbody>
{shareChatList.map((item) => (
<Tr key={item._id}>
<Td>{item.name}</Td>
<Td>{formatPrice(item.total)}</Td>
<Td>{item.lastTime ? formatTimeToChatTime(item.lastTime) : '未使用'}</Td>
<Td display={'flex'} alignItems={'center'}>
<MyTooltip label={'嵌入网页'}>
<MyIcon
mr={4}
name="apiLight"
w={'14px'}
cursor={'pointer'}
_hover={{ color: 'myBlue.600' }}
onClick={() => {
const url = `${location.origin}/chat/share?shareId=${item.shareId}`;
const src = `${location.origin}/js/iframe.js`;
const script = `<script src="${src}" id="fastgpt-iframe" data-src="${url}" data-color="#4e83fd"></script>`;
copyData(script, '已复制嵌入 Script可在应用 HTML 底部嵌入', 3000);
}}
/>
</MyTooltip>
<MyTooltip label={'复制分享链接'}>
<MyIcon
mr={4}
name="copy"
w={'14px'}
cursor={'pointer'}
_hover={{ color: 'myBlue.600' }}
onClick={() => {
const url = `${location.origin}/chat/share?shareId=${item.shareId}`;
copyData(url, '已复制分享链接,可直接分享使用');
}}
/>
</MyTooltip>
<MyTooltip label={'删除链接'}>
<MyIcon
name="delete"
w={'14px'}
cursor={'pointer'}
_hover={{ color: 'red' }}
onClick={async () => {
setIsLoading(true);
try {
await delShareChatById(item._id);
refetchShareChatList();
} catch (error) {
console.log(error);
}
setIsLoading(false);
}}
/>
</MyTooltip>
</Td>
</Tr>
))}
</Tbody>
</Table>
</TableContainer>
{shareChatList.length === 0 && !isFetching && (
<Flex h={'100%'} flexDirection={'column'} alignItems={'center'} pt={'10vh'}>
<MyIcon name="empty" w={'48px'} h={'48px'} color={'transparent'} />
<Box mt={2} color={'myGray.500'}>
</Box>
</Flex>
)}
{/* create shareChat modal */}
<MyModal
isOpen={isOpenCreateShareChat}
onClose={onCloseCreateShareChat}
title={'创建免登录窗口'}
>
<ModalBody>
<FormControl>
<Flex alignItems={'center'}>
<Box flex={'0 0 60px'} w={0}>
:
</Box>
<Input
placeholder="记录名字,仅用于展示"
maxLength={20}
{...registerShareChat('name', {
required: '记录名称不能为空'
})}
/>
</Flex>
</FormControl>
</ModalBody>
<ModalFooter>
<Button variant={'base'} mr={3} onClick={onCloseCreateShareChat}>
</Button>
<Button
isLoading={creating}
onClick={submitShareChat((data) => onclickCreateShareChat(data))}
>
</Button>
</ModalFooter>
</MyModal>
<Loading loading={isFetching} fixed={false} />
</Box>
);
};
enum LinkTypeEnum {
share = 'share',
iframe = 'iframe'
}
const OutLink = ({ appId }: { appId: string }) => {
const theme = useTheme();
const [linkType, setLinkType] = useState<`${LinkTypeEnum}`>(LinkTypeEnum.share);
return (
<Box pt={[1, 5]}>
<Box fontWeight={'bold'} fontSize={['md', 'xl']} mb={2} px={[4, 8]}>
使
</Box>
<Box pb={[5, 7]} px={[4, 8]} borderBottom={theme.borders.base}>
<MyRadio
gridTemplateColumns={['repeat(1,1fr)', 'repeat(auto-fill, minmax(0, 360px))']}
iconSize={'20px'}
list={[
{
icon: 'outlink_share',
title: '免登录窗口',
desc: '分享链接给其他用户,无需登录即可直接进行使用',
value: LinkTypeEnum.share
}
// {
// icon: 'outlink_iframe',
// title: '网页嵌入',
// desc: '嵌入到已有网页中,右下角会生成对话按键',
// value: LinkTypeEnum.iframe
// }
]}
value={linkType}
onChange={(e) => setLinkType(e as `${LinkTypeEnum}`)}
/>
</Box>
{linkType === LinkTypeEnum.share && <Share appId={appId} />}
</Box>
);
};
export default OutLink;

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@@ -1,243 +0,0 @@
import React, { useEffect, useState } from 'react';
import { Card, Box, Link, Flex, Image, Button } from '@chakra-ui/react';
import { useRouter } from 'next/router';
import { useGlobalStore } from '@/store/global';
import { beianText } from '@/store/static';
import { feConfigs } from '@/store/static';
import { serviceSideProps } from '@/utils/i18n';
import { useTranslation } from 'next-i18next';
import styles from './index.module.scss';
import axios from 'axios';
import MyIcon from '@/components/Icon';
const Home = () => {
const router = useRouter();
const { t } = useTranslation();
const { inviterId } = router.query as { inviterId: string };
const { isPc } = useGlobalStore();
const [star, setStar] = useState(1500);
useEffect(() => {
if (inviterId) {
localStorage.setItem('inviterId', inviterId);
}
}, [inviterId]);
/* 加载动画 */
useEffect(() => {
setTimeout(() => {
try {
window.particlesJS?.('particles-js', {
particles: {
number: {
value: 40,
density: {
enable: true,
value_area: 500
}
},
color: {
value: '#4e83fd'
},
shape: {
type: 'circle',
stroke: {
width: 0,
color: '#000000'
},
polygon: {
nb_sides: 5
}
},
opacity: {
value: 0.5,
random: false,
anim: {
enable: false,
speed: 0.1,
opacity_min: 0.1,
sync: false
}
},
size: {
value: 3,
random: true,
anim: {
enable: false,
speed: 10,
size_min: 0.1,
sync: false
}
},
line_linked: {
enable: true,
distance: 150,
color: '#adceff',
opacity: 0.4,
width: 1
},
move: {
enable: true,
speed: 2,
direction: 'none',
random: true,
straight: false,
out_mode: 'out',
bounce: false,
attract: {
enable: false,
rotateX: 600,
rotateY: 1200
}
}
},
interactivity: {
detect_on: 'canvas',
events: {
onhover: {
enable: true,
mode: 'grab'
},
onclick: {
enable: true,
mode: 'push'
},
resize: true
},
modes: {
grab: {
distance: 140,
line_linked: {
opacity: 1
}
},
bubble: {
distance: 400,
size: 40,
duration: 2,
opacity: 8,
speed: 3
},
repulse: {
distance: 200,
duration: 0.4
},
push: {
particles_nb: 4
},
remove: {
particles_nb: 2
}
}
},
retina_detect: true
});
} catch (error) {}
}, 500);
}, [isPc]);
useEffect(() => {
(async () => {
try {
const { data: git } = await axios.get('https://api.github.com/repos/labring/FastGPT');
setStar(git.stargazers_count);
} catch (error) {}
})();
}, []);
return (
<Flex
className={styles.home}
position={'relative'}
flexDirection={'column'}
alignItems={'center'}
h={'100%'}
overflow={'overlay'}
>
<Box id={'particles-js'} position={'absolute'} top={0} left={0} right={0} bottom={0} />
<Flex
flexDirection={'column'}
alignItems={'center'}
justifyContent={'center'}
mt={'22vh'}
position={'absolute'}
userSelect={'none'}
textAlign={'center'}
>
<Image src="/icon/logo2.png" w={['70px', '120px']} h={['70px', '120px']} alt={''}></Image>
<Box
className={styles.textlg}
fontWeight={'bold'}
fontSize={['40px', '70px']}
letterSpacing={'5px'}
>
{feConfigs?.systemTitle || 'AI知识库'}
</Box>
<Box className={styles.textlg} fontWeight={'bold'} fontSize={['30px', '50px']}>
{t('home.Visual AI orchestration')}
</Box>
<Box className={styles.textlg} fontWeight={'bold'} fontSize={['30px', '50px']}>
{t('home.Quickly build AI question and answer library')}
</Box>
<Flex flexDirection={['column', 'row']} my={5}>
{feConfigs?.show_git && (
<Button
mr={[0, 5]}
mb={[5, 0]}
fontSize={['xl', '3xl']}
h={'auto'}
py={[2, 3]}
variant={'base'}
border={'2px solid'}
borderColor={'myGray.800'}
transition={'0.3s'}
_hover={{
bg: 'myGray.800',
color: 'white'
}}
leftIcon={<MyIcon name={'git'} w={'20px'} />}
onClick={() => window.open('https://github.com/labring/FastGPT', '_blank')}
>
Stars {(star / 1000).toFixed(1)}k
</Button>
)}
<Button
fontSize={['xl', '3xl']}
h={'auto'}
py={[2, 3]}
onClick={() => router.push(`/app/list`)}
>
{t('home.Start Now')}
</Button>
</Flex>
</Flex>
{feConfigs?.authorText && (
<Box w={'100%'} mt={'100vh'} px={[5, 10]} pb={[5, 10]}>
<Card p={5} mt={4} textAlign={'center'}>
{beianText && (
<Link href="https://beian.miit.gov.cn/" target="_blank">
{beianText}
</Link>
)}
<Box>{feConfigs?.authorText}</Box>
</Card>
</Box>
)}
</Flex>
);
};
export async function getServerSideProps(content: any) {
return {
props: {
...(await serviceSideProps(content))
}
};
}
export default Home;

View File

@@ -1,56 +0,0 @@
import React from 'react';
import { Box, Flex, type BoxProps } from '@chakra-ui/react';
import { useLoading } from '@/hooks/useLoading';
import { useSelectFile } from '@/hooks/useSelectFile';
import MyIcon from '@/components/Icon';
interface Props extends BoxProps {
fileExtension: string;
tipText?: string;
onSelectFile: (files: File[]) => Promise<void>;
isLoading?: boolean;
}
const FileSelect = ({ fileExtension, onSelectFile, isLoading, tipText, ...props }: Props) => {
const { Loading: FileSelectLoading } = useLoading();
const { File, onOpen } = useSelectFile({
fileType: fileExtension,
multiple: true
});
return (
<Box
display={'inline-block'}
textAlign={'center'}
bg={'myWhite.400'}
p={5}
borderRadius={'lg'}
border={'1px dashed'}
borderColor={'myGray.300'}
w={'100%'}
position={'relative'}
{...props}
>
<Flex justifyContent={'center'} alignItems={'center'}>
<MyIcon mr={1} name={'uploadFile'} w={'16px'} />
{/* 拖拽文件至此,或{' '} */}
<Box ml={1} as={'span'} cursor={'pointer'} color={'myBlue.700'} onClick={onOpen}>
</Box>
</Flex>
<Box mt={1}> {fileExtension} </Box>
{tipText && (
<Box mt={1} fontSize={'sm'} color={'myGray.600'}>
{tipText}
</Box>
)}
<FileSelectLoading loading={isLoading} fixed={false} />
<File onSelect={onSelectFile} />
</Box>
);
};
export default FileSelect;

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