Compare commits

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258 Commits
v0.9 ... v3.2

Author SHA1 Message Date
archer
00a99261ae perf: chat framwork 2023-05-03 15:28:25 +08:00
archer
91decc3683 perf: model framwork 2023-05-03 10:57:56 +08:00
archer
aa74625f96 fix: system prompt response 2023-05-03 10:27:06 +08:00
archer
9199e3e57d fix: userquery cache 2023-05-02 17:28:23 +08:00
archer
89234c197c fix: response 2023-05-02 14:56:12 +08:00
archer
a409db9578 perf: icon 2023-05-02 14:52:20 +08:00
archer
11f42ad9ed perf: chat load 2023-05-02 14:18:43 +08:00
archer
90456301d2 feat: save system prompt 2023-05-02 14:06:10 +08:00
archer
b0d414ac12 feat: export chat 2023-05-02 12:01:22 +08:00
archer
89a67ca9c0 perf: token split text 2023-04-30 22:35:47 +08:00
archer
39869bc4ea perf: search kb model 2023-04-30 14:01:39 +08:00
archer
f109f1cf60 perf: save chat and del chat content;UI 2023-04-30 13:26:56 +08:00
archer
c971adaabd docs 2023-04-29 16:01:42 +08:00
archer
ea100d84bf perf: auth token 2023-04-29 15:59:53 +08:00
archer
78762498eb perf: model framwork 2023-04-29 15:55:47 +08:00
archer
cd9acab938 fix: request config 2023-04-28 16:47:55 +08:00
archer
56b3ddc147 fix: mode data 2023-04-28 15:07:38 +08:00
archer
5969f5e0c5 docs and login direct 2023-04-28 14:16:30 +08:00
archer
ca8e940c9b perf: image and auth 2023-04-28 14:01:27 +08:00
archer
75073a64fb fix: chat window auth 2023-04-28 13:21:56 +08:00
archer
5b9185159d feat: collection model 2023-04-28 13:10:12 +08:00
archer
08ae4073bd feat: model set avatar 2023-04-28 10:06:14 +08:00
archer
606105d633 perf: select file 2023-04-28 09:32:03 +08:00
archer
3b8e5d2738 feat: model share market 2023-04-27 23:41:42 +08:00
archer
46eb96c72e perf: 去除冗余代码 2023-04-26 22:43:58 +08:00
晓杰
0540c2e46a ci: let image build by ci auto link to fastgpt repo
Signed-off-by: 晓杰 <2561589453@qq.com>
2023-04-26 21:56:36 +08:00
archer
d13b823065 Merge branch 'dev2.9' into main 2023-04-26 21:52:09 +08:00
archer
71f58b791f docs 2023-04-26 21:51:57 +08:00
archer
4b1cc6878c feat: 中转安全凭证;perf: 部署文件 2023-04-26 16:41:58 +08:00
archer
c6a5f16336 perf: stream 2023-04-26 13:50:09 +08:00
archer
7ed3c91ac6 docs: nginx proxy 2023-04-26 10:04:10 +08:00
archer
1f801d1464 fix: abort chat make page error 2023-04-25 23:47:24 +08:00
archer
d0e65431d0 fix: 反向代理 2023-04-25 23:14:46 +08:00
archer
a21b2ccdd0 fix: 反向代理 2023-04-25 22:29:43 +08:00
archer
8767c576be feat: stop chat 2023-04-25 21:06:04 +08:00
archer
fb08f61eb5 feat: openai base url 2023-04-25 20:13:29 +08:00
archer
ce68791c3c perf: not cut text when little text 2023-04-25 09:48:01 +08:00
archer
3294be5e7f perf: auto refresh split data 2023-04-24 23:41:11 +08:00
archer
ec86847280 docs 2023-04-24 19:05:08 +08:00
archer
dd2d93c953 perf: error response 2023-04-24 18:26:36 +08:00
archer
e60c36b423 perf: init chat content.use mongo aggregate 2023-04-24 18:26:36 +08:00
archer
1f112f7715 feat: chat content use tiktoken count 2023-04-24 18:26:35 +08:00
archer
adbaa8b37b feat: use Tiktokenizer to count tokens 2023-04-24 18:26:34 +08:00
archer
29c95d24ae perf: model data code 2023-04-24 18:26:34 +08:00
archer
e0b1a78344 feat: 拆分文本增加滑块,增加直接分段导入方式 2023-04-24 18:26:33 +08:00
archer
2774940851 feat: history chat 2023-04-24 18:26:32 +08:00
archer
c2c73ed23c perf: 生成对话框时机 2023-04-24 18:26:32 +08:00
archer
9682c82713 perf: 凭证校验 2023-04-24 18:26:31 +08:00
archer
e8d4933dc4 docs 2023-04-24 18:26:31 +08:00
archer
0b6020a9cd perf: 索引优化成hash 2023-04-24 18:26:26 +08:00
Archer
894beee266 Merge pull request #18 from xiao-jay/ci-buildimage
ci: build arm and amd image when push main branch
2023-04-24 18:25:39 +08:00
晓杰
405e453ed3 ci: build arm and amd image when push
Signed-off-by: 晓杰 <2561589453@qq.com>
2023-04-23 14:19:49 +08:00
Archer
79d289e25b Merge pull request #17 from xiao-jay/install-mac-docs
docs:how to run fast-gpt in mac
2023-04-23 08:02:23 +08:00
晓杰
51054f5829 docs:how to run fast-gpt in mac
Signed-off-by: 晓杰 <2561589453@qq.com>
2023-04-22 16:10:06 +08:00
archer
317fba1855 fix: init.sql 2023-04-22 10:54:08 +08:00
archer
f61e467d04 fix: 邀请id 2023-04-21 23:47:52 +08:00
archer
27de1cad47 fix: 短信验证码首位不能为0 2023-04-21 23:40:20 +08:00
archer
3ea2cf1dcb perf: chat上下文截断;QA提示词 2023-04-21 23:30:26 +08:00
archer
4397a0ad6b feat: 好友邀请 2023-04-21 22:23:19 +08:00
archer
4f51839026 perf: 参数值 2023-04-21 19:55:56 +08:00
archer
3c0fa30aaf perf: 对话框优化;feat: 模糊搜索 2023-04-20 23:06:30 +08:00
archer
02abe42afe feat: docs 2023-04-20 09:49:35 +08:00
archer
088a90de10 perf: 过滤器 2023-04-19 23:56:16 +08:00
archer
a98c56f968 perf: pg 2023-04-19 23:10:42 +08:00
archer
1e5714da1b feat: 替换redis搜索 2023-04-19 12:00:28 +08:00
archer
867d69659f feat: sql 封装 2023-04-19 10:03:11 +08:00
archer
d44203bff1 feat: sql 封装 2023-04-19 10:02:04 +08:00
archer
629a147741 perf: 倒序 2023-04-18 23:51:30 +08:00
archer
9e951fbc15 feat: pg引入 2023-04-18 23:47:56 +08:00
archer
a540ee944a perf: prompt 2023-04-17 18:52:42 +08:00
archer
b064e704f3 feat: 支持邮箱和手机号同时注册 2023-04-17 18:42:56 +08:00
archer
7e54421190 fix: 多机部署,导致任务重复 2023-04-17 10:41:35 +08:00
archer
647f701692 perf: 去除内容截取 2023-04-17 09:58:22 +08:00
archer
0db413ab52 perf: 文本截取 2023-04-17 09:05:01 +08:00
archer
426eceac22 fix: inviterId无效 2023-04-17 00:31:08 +08:00
archer
1ee527ceb8 fix: 验证码程度 2023-04-16 23:33:12 +08:00
archer
03f1ab1a2f feat: 邀请注册 2023-04-16 23:26:14 +08:00
archer
faf722fa15 feat: 手机验证码作为用户凭证 2023-04-16 19:53:50 +08:00
archer
36dad6df33 perf: docs 2023-04-14 16:53:05 +08:00
archer
6ff5db7b41 fix: btn位置 2023-04-14 01:37:45 +08:00
archer
56a0b48b97 perf: 文案;feat: 知识库模糊搜索 2023-04-13 21:34:36 +08:00
archer
ff24042df5 feat: chatgpt 对外api 2023-04-12 22:39:30 +08:00
archer
c31d247f07 feat: 知识库openapi 2023-04-12 21:54:57 +08:00
archer
e903eb5b94 perf: lafgpt 2023-04-12 19:03:27 +08:00
archer
c605964fa8 feat: 知识库匹配模式选择 2023-04-12 00:44:01 +08:00
archer
1fe5cd751a perf: 知识库匹配模式 2023-04-11 18:17:00 +08:00
archer
488e2f476e fix: 重名模型高亮;perf: 未匹配到问题时输出 2023-04-11 17:28:43 +08:00
archer
915b104b8a perf: 输入引导。导出数据编码格式。列表数字被隐藏 2023-04-11 16:32:07 +08:00
archer
aaa350a13e fix: response 2023-04-10 21:27:13 +08:00
archer
6a2b34cb92 perf: 保持数据原样 2023-04-10 21:08:43 +08:00
archer
7f26b31f53 feat: csv导入去重;文档说明 2023-04-10 20:58:23 +08:00
archer
2a597964a2 perf: csv导入导出 2023-04-10 20:39:27 +08:00
archer
c1d3a46dc7 perf: csv文件选择 2023-04-10 19:47:03 +08:00
archer
0c55beb72d perf: comment 2023-04-10 14:39:46 +08:00
archer
9b1c0e1a3c perf: openapi. error catch 2023-04-10 13:16:24 +08:00
archer
a7988c164e perf: readme 2023-04-10 01:59:32 +08:00
archer
99e5fbd0f5 perf: md引入;docker-compose; 2023-04-09 22:56:08 +08:00
archer
5e4c4dd79b README 2023-04-09 12:38:36 +08:00
archer
70584783a5 perf: 环境变量例子 2023-04-09 12:37:13 +08:00
archer
705ac1c27e perf: 专线代理配置 2023-04-08 20:49:15 +08:00
archer
52d00d0562 feat: 知识库对外api 2023-04-08 20:27:43 +08:00
archer
9a145f223f fix: chat 页有些手机无法加载 2023-04-08 13:21:03 +08:00
archer
b7cd4dec89 fix: model auth 2023-04-08 11:57:13 +08:00
archer
33154a9c19 fix: 去除share 2023-04-08 11:51:51 +08:00
archer
e1c7503611 fix: api page hidden 2023-04-08 10:26:34 +08:00
archer
d04c298132 README 2023-04-08 00:47:31 +08:00
archer
eceda01c19 perf: openapi auth and lafgpt 2023-04-08 00:35:35 +08:00
archer
ea1681e1eb feat: auth openapi key 2023-04-07 23:33:59 +08:00
archer
f6c4b4c96d feat: openapi crd 2023-04-07 23:15:30 +08:00
archer
22cc9c85be feat: openapi page 2023-04-07 22:48:21 +08:00
archer
43f8d6008f fix: README.md 2023-04-07 21:51:21 +08:00
archer
29c5554f9e perf: 分页组件 2023-04-07 21:34:51 +08:00
archer
9b18a46456 perf: 账号api结构 2023-04-07 20:58:41 +08:00
archer
d5923bc64f perf: 去掉testapi 2023-04-07 17:23:52 +08:00
archer
f19c2d2ca1 perf: 去掉raw content 2023-04-07 16:12:43 +08:00
archer
84d91f3f76 perf: 接口大小 2023-04-07 15:46:30 +08:00
archer
7811f7482b fix: 账单第一页不展示 2023-04-07 01:20:41 +08:00
archer
9c8ca7dd25 perf: 压缩上下文 2023-04-07 01:11:23 +08:00
archer
1409916bd0 perf: 知识库范围 2023-04-06 23:43:34 +08:00
archer
fc7edcb54f perf: log和向量对话 2023-04-06 22:24:23 +08:00
archer
87d35042de perf: 阈值 2023-04-06 19:44:44 +08:00
archer
77dc961a07 perf: 账号页异步加载组件 2023-04-06 18:30:47 +08:00
archer
9a45fb64c2 perf: 未更新信息时也能保存 2023-04-06 16:12:36 +08:00
archer
881c36542c perf: 连续手动输入数据 2023-04-06 16:02:35 +08:00
archer
f88c6031f5 feat: lafgpt。openapi schema 2023-04-06 15:25:48 +08:00
archer
8a02b3b04a perf: 响应流抽离 2023-04-06 11:42:47 +08:00
archer
d460305871 perf: 文案优化 2023-04-06 09:07:07 +08:00
archer
144bed5a77 perf: 优化tokens计算 2023-04-05 23:43:20 +08:00
archer
96fc917bad perf: 支付文案 2023-04-05 22:32:14 +08:00
archer
794a3698ad feat: wx pay 2023-04-05 22:07:02 +08:00
archer
fbbc32361b perf: 加快拆分QA和生成向量;余额不足提醒 2023-04-05 20:37:37 +08:00
archer
dc329041f3 feat: 根据url获取网站文本 2023-04-05 16:10:47 +08:00
archer
5feb2e19bf fix: word解析失败 2023-04-05 11:16:12 +08:00
archer
ec22cd8320 fix: 价格表 2023-04-05 10:59:53 +08:00
archer
8c7efcbd1a perf: 二维码 2023-04-04 23:54:33 +08:00
archer
afc5947bfb feat: maxtokens 2023-04-04 23:00:01 +08:00
archer
40189a6899 feat: 队列任务余额不足时退出 2023-04-04 22:36:14 +08:00
archer
b73829a25c fix: 重复生成向量 2023-04-04 22:12:48 +08:00
archer
a7c5d3cc05 Merge branch 'dev2.4' into dev2.5 2023-04-04 22:00:16 +08:00
archer
cc36a13f17 Merge branch 'dev2.4' of https://github.com/c121914yu/FastGPT into dev2.4 2023-04-04 21:59:38 +08:00
archer
943abbe0fb perf: 5进程同时进行 2023-04-04 21:41:55 +08:00
archer
b13c3c4da5 fix: 账单余额问题 2023-04-04 21:32:51 +08:00
archer
c12aa7fdf7 fix: 文本长度过长 2023-04-04 14:20:10 +08:00
archer
e08e8aa00b feat: 修改模型数据可修改问题 2023-04-04 13:15:34 +08:00
archer
85e11abc0a perf: 文件拆分 2023-04-03 21:04:38 +08:00
archer
becee69d6a perf: 发送区域样式 2023-04-03 17:28:35 +08:00
archer
042b0c535a perf: 发送按键 2023-04-03 17:14:46 +08:00
archer
f97c29b41e feat: lafgpt请求;fix: 修复发送按键 2023-04-03 16:35:48 +08:00
archer
4d6616cbfa fix: ts 2023-04-03 11:03:51 +08:00
archer
cf37992b5c feat: 封装向量生成和账单 2023-04-03 10:59:32 +08:00
archer
6c4026ccef perf: 文件结构 2023-04-03 10:20:17 +08:00
archer
caf31faf31 perf: 生成qa prompt 2023-04-03 01:39:00 +08:00
archer
a0832af14b perf: 数据集刷新导致页面抖动 2023-04-03 00:51:53 +08:00
archer
677e61416d perf: 版本文案 2023-04-03 00:48:56 +08:00
archer
56ba6fa5f7 feat: 拆分数据自定义prompt 2023-04-03 00:37:40 +08:00
archer
16a31de1c7 feat: 数据集导出 2023-04-03 00:18:21 +08:00
archer
05b2e9e99c feat: 拆分测试环境 2023-04-02 23:38:28 +08:00
archer
ae4243b522 perf: 知识库数据结构 2023-04-01 22:31:56 +08:00
archer
5759cbeae0 perf: 知识库录入 2023-03-31 18:23:07 +08:00
archer
a3d74ec4a6 perrf chat不请求余额 2023-03-31 14:13:00 +08:00
archer
df9ac99ef2 fix: 复制和代理 2023-03-31 12:17:08 +08:00
archer
ef1e8aef5c fix: 发送区按键 2023-03-31 11:45:42 +08:00
archer
56dab7abba perf: api调用和余额校验 2023-03-31 11:20:45 +08:00
archer
ed1f93d836 perf: 改用hash索引 2023-03-31 02:58:09 +08:00
archer
5ec8aac3ac README 2023-03-31 00:41:42 +08:00
archer
837c132d24 feat: 删除模型数据 2023-03-31 00:23:41 +08:00
archer
8239c58494 perf: 知识库优化 2023-03-31 00:05:04 +08:00
archer
456686f3d0 conflict 2023-03-30 22:33:58 +08:00
archer
2099a87908 feat: 模型数据管理
feat: 模型数据导入

feat: redis 向量入库

feat: 向量索引

feat: 文件导入模型

perf: 交互

perf: prompt
2023-03-30 21:45:54 +08:00
archer
2b2c70e53d feat: 模型数据导入 2023-03-30 01:04:52 +08:00
archer
f32c557bdd feat: 模型数据管理 2023-03-29 00:22:48 +08:00
archer
713332522f Merge branch 'dev2.1' into dev2.2 2023-03-28 17:57:57 +08:00
archer
586607a9ce feat: modeldata接口。fix: 部分权限校验bug 2023-03-28 17:56:31 +08:00
archer
8c70205940 README 2023-03-28 00:48:24 +08:00
archer
c3ccbcb7f6 perf: 输入超长提示 2023-03-28 00:36:26 +08:00
archer
7a6d0ea650 perf: 减少聊天内容配置,自动截断上下文 2023-03-28 00:07:32 +08:00
archer
7fb6f62cf6 perf: 文本拆分 2023-03-27 19:19:47 +08:00
archer
af385b1b42 feat: 一次性获取data集合 2023-03-27 18:55:38 +08:00
archer
5249297cb1 perf: bill logs 2023-03-27 13:58:57 +08:00
archer
9280a21d12 perf: 提示词 2023-03-27 01:53:40 +08:00
archer
650a9dd651 fix: 生成词向量代理 2023-03-27 01:06:40 +08:00
archer
42e12d7db1 perf: 文本 2023-03-26 23:52:37 +08:00
archer
249ed18d15 fix: 抽取概要 2023-03-26 22:43:39 +08:00
archer
3e4487ad9a feat: 摘要拆分 2023-03-26 22:09:59 +08:00
archer
888642f154 perf: 参数 2023-03-26 15:47:30 +08:00
archer
963e590dfd perf: 参数 2023-03-26 15:41:50 +08:00
archer
e547893ac1 perf: 微调截止词 2023-03-26 15:27:57 +08:00
archer
9125910cfe fix: 连续滚动重复请求;perf: 训练参数 2023-03-26 14:37:49 +08:00
archer
98c458dcf8 fix: 训练后模型没选中 2023-03-26 13:56:00 +08:00
archer
41b6401c13 feat: 复制和删除对话功能 2023-03-26 13:14:50 +08:00
archer
936e36205e fix: 滚动条样式 2023-03-26 11:52:46 +08:00
archer
e289c4ec53 fix: ts数据 2023-03-26 10:51:47 +08:00
archer
1cbcc62494 perf: 正则提取文本, 2023-03-26 10:31:13 +08:00
archer
da31ef286b perf: 完善拆分数据模式 2023-03-25 23:37:50 +08:00
archer
60f62507bd feat: 版本更新 2023-03-25 23:16:59 +08:00
archer
75cf3d1e9f feat: 拆分文本账单结算 2023-03-25 23:02:55 +08:00
archer
02cee35a45 feat: 数据集管理 2023-03-25 22:13:15 +08:00
archer
0cee404c7f perf: 账单字段 2023-03-25 20:48:21 +08:00
archer
274ece1d91 feat: gpt3流响应 2023-03-25 20:43:03 +08:00
archer
6bba859060 feat: 修改计费模式为tokens 2023-03-25 14:43:32 +08:00
archer
4eaf3a1be0 feat: 滚动加载组件 2023-03-25 13:55:53 +08:00
archer
3db690773f feat: 数据集合管理 2023-03-25 12:55:32 +08:00
archer
8a9f1ed29b feat: 训练数据管理 2023-03-25 01:40:15 +08:00
archer
c0dc5a74c9 fix: conflict 2023-03-24 20:18:27 +08:00
archer
a35cda6873 fix: destroy后仍有push流 2023-03-24 14:39:25 +08:00
archer
30678d8ebf fix: destroy后仍有push流 2023-03-24 14:35:33 +08:00
archer
6ce727f9ea fix: conflict 2023-03-24 12:55:51 +08:00
archer
81e6821174 feat: 使用说明&价格表 2023-03-24 10:22:08 +08:00
archer
d8290f0809 feat: qa生成 2023-03-24 01:19:38 +08:00
archer
8b72dca533 merge dev2.0 2023-03-23 23:07:24 +08:00
archer
4d64068591 feat: 临时data 2023-03-23 21:32:28 +08:00
archer
af35e17fdb feat: 增加中断流.fix: 中断流导致的服务端错误 2023-03-22 22:09:40 +08:00
archer
5ec303610c fix: 修复支付可能存在的缺陷 2023-03-22 12:20:27 +08:00
archer
984baf60f0 feat: share窗口 2023-03-21 23:47:26 +08:00
archer
d065539707 feat: 增加充值功能 2023-03-21 23:14:28 +08:00
archer
129f3a2a30 feat: 账单模块 2023-03-21 18:04:39 +08:00
archer
42c26bd155 feat: 增加账单 2023-03-21 14:01:35 +08:00
archer
dc467c26b5 feat: 聊天页暗夜模式 2023-03-20 21:34:12 +08:00
archer
3aeb510f43 feat: colormode 2023-03-20 18:38:00 +08:00
archer
405a75e23b feat: colormode 2023-03-20 18:19:36 +08:00
archer
be47169fa8 fix: 侧边栏收缩 2023-03-20 09:36:49 +08:00
Archer
58a010c12c perf: 细节样式 2023-03-18 13:30:25 +08:00
Archer
7ba14d2c14 feat: 首页提示 2023-03-18 12:40:05 +08:00
Archer
00b90f071d feat: 模型介绍和温度调整。完善聊天页提示 2023-03-18 12:32:55 +08:00
Archer
1c364eca35 feat: 空内容提醒 2023-03-18 01:09:04 +08:00
Archer
9384419c9d feat: 模型数量增加。滚动条位置 2023-03-18 00:53:00 +08:00
Archer
38c093d9ae feat: 修改chat的数据结构 2023-03-18 00:49:44 +08:00
Archer
e6c9ca540a fix: 聊天侧边栏未滚动 2023-03-17 22:06:43 +08:00
Archer
d85b4c0945 perf: 优化系统提示消息 2023-03-17 00:53:27 +08:00
Archer
1e770088d0 feat: 增加聊天navbar 2023-03-16 23:38:43 +08:00
Archer
7529f51e72 temp 2023-03-15 21:36:56 +08:00
Archer
be69cfb966 fix: 请求头 2023-03-14 15:13:22 +08:00
Archer
6244f6c1fb perf: 流响应 2023-03-14 14:58:35 +08:00
Archer
e12f97a73b perf: 文案提示;删除账号 2023-03-14 12:54:37 +08:00
Archer
7f96c4ff9b perf: 包和文档内容 2023-03-13 23:58:17 +08:00
Archer
138b607ac7 perf:提示文案;错误处理 2023-03-13 19:57:37 +08:00
Archer
b204c55bd1 Merge branch 'dev1.1' into beian 2023-03-12 00:07:24 +08:00
Archer
17cbfa05d3 perf: 表格样式。代理配置 2023-03-12 00:06:12 +08:00
Archer
a7b9940d7a Merge branch 'main' into beian 2023-03-11 16:58:46 +08:00
Archer
fd8135f50c feat: md数学表达式;perf: 字体样式;fix: 发送验证码错误提醒。聊天二次加载 2023-03-11 16:56:27 +08:00
Archer
9f96593136 README.md 2023-03-11 13:19:00 +08:00
Archer
ed9e72ec9a perf: logs 2023-03-10 22:12:13 +08:00
Archer
7fb76cde0b feat: 类型声明 2023-03-10 20:18:31 +08:00
Archer
38d49ea05f feat: 错误提示 2023-03-10 19:44:06 +08:00
Archer
7db87c2d09 Merge branch 'dev1.1' into beian 2023-03-10 18:57:18 +08:00
Archer
453f3be8ce fix: mongo内存泄漏 2023-03-10 18:54:51 +08:00
Archer
f023f63103 feat: 合并 2023-03-10 03:02:46 +08:00
Archer
65da4653bc feat: stream流响应 2023-03-10 02:57:13 +08:00
Archer
26888e855b rename 2023-03-09 21:37:56 +08:00
Archer
e132c622a6 feat: 文案内容 2023-03-09 21:23:58 +08:00
Archer
17364e9da3 conflict
perf: 聊天页优化

perf: md解析样式

perf: ui调整

perf: 懒加载和动态加载优化

perf: 去除console,

perf: 图片cdn

feat: 图片地址

perf: 登录顺序

feat: 流优化
2023-03-09 20:44:54 +08:00
Archer
e5fe670a6e beian 2023-03-09 20:27:11 +08:00
Archer
7807b26707 feat: 流优化 2023-03-09 10:09:49 +08:00
archer
16775430ea perf: 登录顺序 2023-03-06 20:40:10 +08:00
archer
dd5217d8a5 feat: 图片地址 2023-03-06 17:20:14 +08:00
archer
9f8d696bbe perf: 图片cdn 2023-03-06 10:56:46 +08:00
archer
bf81d23de4 perf: 去除console, 2023-03-05 23:08:23 +08:00
archer
2390823282 feat: 限流配置 2023-03-04 13:30:20 +08:00
240 changed files with 95726 additions and 3502 deletions

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@@ -7,4 +7,5 @@ README.md
.git
.yalc/
yalc.lock
yalc.lock
testApi/

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@@ -1,6 +1,27 @@
AXIOS_PROXY_HOST=127.0.0.1
AXIOS_PROXY_PORT=33210
MONGODB_URI=
MY_MAIL=
MAILE_CODE=
TOKEN_KEY=
# proxy
# AXIOS_PROXY_HOST=127.0.0.1
# AXIOS_PROXY_PORT=7890
# OPENAI_BASE_URL=https://api.openai.com/v1
# OPENAI_BASE_URL_AUTH=可选的安全凭证
# 是否开启队列任务。 1-开启0-关闭请求parentUrl去执行任务,单机时直接填1
queueTask=1
parentUrl=https://hostname/api/openapi/startEvents
# email
MY_MAIL=xxx@qq.com
MAILE_CODE=xxx
# ali ems
aliAccessKeyId=xxx
aliAccessKeySecret=xxx
aliSignName=xxx
aliTemplateCode=SMS_xxx
# token
TOKEN_KEY=xxx
# openai
OPENAIKEY=sk-xxx
# db
MONGODB_URI=mongodb://username:password@0.0.0.0:27017/test?authSource=admin
PG_HOST=0.0.0.0
PG_PORT=8100
PG_USER=xxx
PG_PASSWORD=xxx
PG_DB_NAME=xxx

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@@ -1,3 +1,6 @@
{
"extends": "next/core-web-vitals"
"extends": "next/core-web-vitals",
"rules": {
"react-hooks/rules-of-hooks": 0
}
}

50
.github/workflows/release.yml vendored Normal file
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@@ -0,0 +1,50 @@
name: Release
on:
workflow_dispatch:
push:
branches:
- 'main'
jobs:
release:
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
- # Add support for more platforms with QEMU (optional)
# https://github.com/docker/setup-qemu-action
name: Set up QEMU
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 gitbub
uses: docker/login-action@v2
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GH_PAT }}
- name: build and publish image
env:
# fork friendly ^^
DOCKER_REPO: ghcr.io/${{ github.repository_owner }}/fast-gpt
run: |
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=fast-gpt image" \
--label "org.opencontainers.image.licenses=MIT" \
--push \
-t ${DOCKER_REPO}:latest \
-f Dockerfile \
.

6
.gitignore vendored
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@@ -34,6 +34,6 @@ yarn-error.log*
# typescript
*.tsbuildinfo
next-env.d.ts
public/trainData/
.vscode/
platform.json
/.vscode/
platform.json
testApi/

10
.husky/pre-commit Normal file → Executable file
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@@ -1,6 +1,6 @@
#!/usr/bin/env sh
. "$(dirname -- "$0")/_/husky.sh"
if command -v npx >/dev/null 2>&1; then
npx lint-staged
#!/usr/bin/env sh
. "$(dirname -- "$0")/_/husky.sh"
if command -v npx >/dev/null 2>&1; then
npx lint-staged
fi

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

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@@ -1,21 +1,20 @@
module.exports = {
printWidth: 100,
tabWidth: 2,
useTabs: false,
semi: true,
singleQuote: true,
quoteProps: 'as-needed',
jsxSingleQuote: false,
trailingComma: 'none',
bracketSpacing: true,
jsxBracketSameLine: false,
arrowParens: 'always',
rangeStart: 0,
rangeEnd: Infinity,
requirePragma: false,
insertPragma: false,
proseWrap: 'preserve',
htmlWhitespaceSensitivity: 'css',
endOfLine: 'lf'
printWidth: 100,
tabWidth: 2,
useTabs: false,
semi: true,
singleQuote: true,
quoteProps: 'as-needed',
jsxSingleQuote: false,
trailingComma: 'none',
bracketSpacing: true,
jsxBracketSameLine: false,
arrowParens: 'always',
rangeStart: 0,
rangeEnd: Infinity,
requirePragma: false,
insertPragma: false,
proseWrap: 'preserve',
htmlWhitespaceSensitivity: 'css',
endOfLine: 'lf'
};

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@@ -1,5 +0,0 @@
{
"editor.formatOnType": true,
"editor.formatOnSave": true ,
"prettier.tabWidth": 2
}

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@@ -54,13 +54,4 @@ USER nextjs
EXPOSE 3000
ENV PORT 3000
ENV MAX_USER ''
ENV AXIOS_PROXY_HOST ''
ENV AXIOS_PROXY_PORT ''
ENV MONGODB_URI ''
ENV MY_MAIL ''
ENV MAILE_CODE ''
ENV TOKEN_KEY ''
CMD ["node", "server.js"]

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@@ -1,4 +1,4 @@
SERVICE_NAME=doc-gpt
SERVICE_NAME=fast-gpt
# Image URL to use all building/pushing image targets
IMG ?= $(SERVICE_NAME):latest
@@ -34,13 +34,13 @@ run: ## Run a dev service from host.
.PHONY: docker-build
docker-build: ## Build docker image with the desktop-frontend.
docker build -t c121914yu/doc-gpt:latest .
docker build -t c121914yu/fast-gpt:latest . --network host --build-arg HTTP_PROXY=http://127.0.0.1:7890 --build-arg HTTPS_PROXY=http://127.0.0.1:7890
##@ Deployment
.PHONY: docker-run
docker-run: ## Push docker image.
docker run -d -p 8008:3000 --name doc-gpt -v /web_project/yjl/doc-gpt/logs:/app/.next/logs c121914yu/doc-gpt:latest
docker run -d -p 8008:3000 --name fast-gpt -v /web_project/yjl/fast-gpt/logs:/app/.next/logs c121914yu/fast-gpt:latest
#TODO: add support of docker push

287
README.md
View File

@@ -1,73 +1,256 @@
# Doc GPT
# Fast GPT
## 初始化
复制 .env.template 成 .env.local ,填写核心参数
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 和 embedding. 可构建自己的知识库。
```
AXIOS_PROXY_HOST=axios代理地址目前 openai 接口都需要走代理,本机的话就填 127.0.0.1
AXIOS_PROXY_PORT=代理端口
MONGODB_URI=mongo数据库地址
MY_MAIL=发送验证码邮箱
MAILE_CODE=邮箱秘钥
TOKEN_KEY=随便填一个用于生成和校验token
```
## 知识库原理
![KBProcess](docs/imgs/KBProcess.jpg?raw=true "KBProcess")
## 开发
**配置环境变量**
```bash
# proxy可选
AXIOS_PROXY_HOST=127.0.0.1
AXIOS_PROXY_PORT=7890
# openai 中转连接(可选)
OPENAI_BASE_URL=https://api.openai.com/v1
OPENAI_BASE_URL_AUTH=可选的安全凭证
# 是否开启队列任务。 1-开启0-关闭(请求 parentUrl 去执行任务,单机时直接填1
queueTask=1
parentUrl=https://hostname/api/openapi/startEvents
# 发送邮箱验证码配置。参考 nodeMail 获取参数,自行百度。
MY_MAIL=xxx@qq.com
MAILE_CODE=xxx
# 阿里短信服务(邮箱和短信至少二选一)
aliAccessKeyId=xxx
aliAccessKeySecret=xxx
aliSignName=xxx
aliTemplateCode=SMS_xxx
# token随便填作为登录凭证
TOKEN_KEY=xxx
# openai key
OPENAIKEY=sk-xxx
# mongo连接地址
MONGODB_URI=mongodb://username:password@0.0.0.0:27017/test?authSource=admin
# mongo数据库名称
MONGODB_NAME=xxx
# pg 数据库相关内容,和 docker-compose 对上
PG_HOST=0.0.0.0
PG_PORT=8102
PG_USER=xxx
PG_PASSWORD=xxx
PG_DB_NAME=xxx
```
**运行**
```
pnpm dev
```
## 部署
```bash
# 本地 docker 打包
docker build -t imageName .
docker push imageName
# 服务器拉取部署
docker pull imageName
docker stop doc-gpt || true
docker rm doc-gpt || true
# 运行时才把参数写入
docker run -d --network=host --name doc-gpt -e AXIOS_PROXY_HOST= -e AXIOS_PROXY_PORT= -e MAILE_CODE= -e TOKEN_KEY= -e MONGODB_URI= imageName
### 代理环境(国外服务器可忽略)
1. [clash 方案](./docs/proxy/clash.md) - 仅需一台服务器(需要有 clash
2. [nginx 方案](./docs/proxy/nginx.md) - 需要一台国外服务器
3. [cloudflare 方案](./docs/proxy/cloudflare.md) - 需要有域名(每日免费 10w 次代理请求)
### docker 部署
#### 1. 安装 docker 和 docker-compose
这个不同系统略有区别,百度安装下。验证安装成功后进行下一步。下面给出一个例子:
```bash
# 安装docker
curl -L https://get.daocloud.io/docker | sh
sudo systemctl start docker
# 安装 docker-compose
curl -L https://github.com/docker/compose/releases/download/1.23.2/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose
# 验证安装
docker -v
docker-compose -v
```
Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
# 介绍页
#### 2. 创建3个初始化文件
手动创建或者直接把 deploy 里内容复制过去
## 欢迎使用 Doc GPT
**/root/fast-gpt/pg/init.sql**
```sql
set -e
psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" <<-EOSQL
时间比较赶,介绍没来得及完善,先直接上怎么使用:
CREATE EXTENSION vector;
-- init table
CREATE TABLE modelData (
id BIGSERIAL PRIMARY KEY,
vector VECTOR(1536),
status VARCHAR(50) NOT NULL,
user_id VARCHAR(50) NOT NULL,
model_id VARCHAR(50) NOT NULL,
q TEXT NOT NULL,
a TEXT NOT NULL
);
-- create index
CREATE INDEX modelData_status_index ON modelData USING HASH (status);
CREATE INDEX modelData_userId_index ON modelData USING HASH (user_id);
CREATE INDEX modelData_modelId_index ON modelData USING HASH (model_id);
EOSQL
```
1. 使用邮箱注册账号。
2. 进入账号页面,添加关联账号,目前只有 openai 的账号可以添加,直接去 openai 官网,把 API Key 粘贴过来。
3. 进入模型页,创建一个模型,建议直接用 ChatGPT。
4. 在模型列表点击【对话】,即可使用 API 进行聊天。
**/root/fast-gpt/nginx/nginx.conf**
```conf
user nginx;
worker_processes auto;
worker_rlimit_nofile 51200;
### 模型配置
events {
worker_connections 1024;
}
1. **提示语**:会在每个对话框的第一句自动加入,用于限定该模型的对话内容。
http {
access_log off;
server_names_hash_bucket_size 512;
client_header_buffer_size 32k;
large_client_header_buffers 4 32k;
client_max_body_size 50M;
gzip on;
gzip_min_length 1k;
gzip_buffers 4 8k;
gzip_http_version 1.1;
gzip_comp_level 6;
gzip_vary on;
gzip_types text/plain application/x-javascript text/css application/javascript application/json application/xml;
gzip_disable "MSIE [1-6]\.";
open_file_cache max=1000 inactive=1d;
open_file_cache_valid 30s;
open_file_cache_min_uses 8;
open_file_cache_errors off;
server {
listen 443 ssl;
server_name docgpt.ahapocket.cn;
ssl_certificate /ssl/docgpt.pem;
ssl_certificate_key /ssl/docgpt.key;
ssl_session_timeout 5m;
location / {
proxy_pass http://localhost:3000;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
}
}
server {
listen 80;
server_name docgpt.ahapocket.cn;
rewrite ^(.*) https://$server_name$1 permanent;
}
}
```
**/root/fast-gpt/docker-compose.yml**
```yml
version: "3.3"
services:
fast-gpt:
image: c121914yu/fast-gpt:latest
network_mode: host
restart: always
container_name: fast-gpt
environment:
# - AXIOS_PROXY_HOST=127.0.0.1
# - AXIOS_PROXY_PORT=7890
# - OPENAI_BASE_URL=https://api.openai.com/v1
# - OPENAI_BASE_URL_AUTH=可选的安全凭证
- MY_MAIL=xxxx@qq.com
- MAILE_CODE=xxxx
- aliAccessKeyId=xxxx
- aliAccessKeySecret=xxxx
- aliSignName=xxxxx
- aliTemplateCode=SMS_xxxx
- TOKEN_KEY=xxxx
- queueTask=1
- parentUrl=https://hostname/api/openapi/startEvents
- MONGODB_URI=mongodb://username:passsword@0.0.0.0:27017/?authSource=admin
- MONGODB_NAME=xxx
- PG_HOST=0.0.0.0
- PG_PORT=8100
- PG_USER=xxx
- PG_PASSWORD=xxx
- PG_DB_NAME=xxx
- OPENAIKEY=sk-xxxxx
nginx:
image: nginx:alpine3.17
container_name: nginx
restart: always
network_mode: host
volumes:
- /root/fast-gpt/nginx/nginx.conf:/etc/nginx/nginx.conf:ro
- /root/fast-gpt/nginx/logs:/var/log/nginx
- /root/fast-gpt/nginx/ssl/docgpt.key:/ssl/docgpt.key
- /root/fast-gpt/nginx/ssl/docgpt.pem:/ssl/docgpt.pem
pg:
image: ankane/pgvector
container_name: pg
restart: always
ports:
- 8100:5432
environment:
- POSTGRES_USER=xxx
- POSTGRES_PASSWORD=xxx
- POSTGRES_DB=xxx
volumes:
- /root/fast-gpt/pg/data:/var/lib/postgresql/data
- /root/fast-gpt/pg/init.sql:/docker-entrypoint-initdb.d/init.sh
- /etc/localtime:/etc/localtime:ro
mongodb:
image: mongo:4.0.1
container_name: mongo
restart: always
ports:
- 27017:27017
environment:
- MONGO_INITDB_ROOT_USERNAME=username
- MONGO_INITDB_ROOT_PASSWORD=password
volumes:
- /root/fast-gpt/mongo/data:/data/db
- /root/fast-gpt/mongo/logs:/var/log/mongodb
- /etc/localtime:/etc/localtime:ro
```
#### 3. 运行 docker-compose
下面是一个辅助脚本,也可以直接 docker-compose up -d
**run.sh 运行文件**
```bash
#!/bin/bash
docker-compose pull
docker-compose up -d
echo "Docker Compose 重新拉取镜像完成!"
# 删除本地旧镜像
images=$(docker images --format "{{.ID}} {{.Repository}}" | grep fast-gpt)
# 将镜像 ID 和名称放入数组中
IFS=$'\n' read -rd '' -a image_array <<<"$images"
# 遍历数组并删除所有旧的镜像
for ((i=1; i<${#image_array[@]}; i++))
do
image=${image_array[$i]}
image_id=${image%% *}
docker rmi $image_id
done
```
2. **单句最大长度**:每个聊天,单次输入内容的最大长度。
## 其他优化点
### Git Action 自动打包镜像
.github里拥有一个 git 提交到 main 分支时自动打包 amd64 和 arm64 镜像的 actions。你仅需要提前在 git 配置好 session。
1. 创建账号 session: 头像 -> settings -> 最底部 Developer settings -> Personal access tokens -> tokens(classic) -> 创建新 session把一些看起来需要的权限勾上。
2. 添加 session 到仓库: 仓库 -> settings -> Secrets and variables -> Actions -> 创建secret
3. 填写 secret: Name-GH_PAT, Secret-第一步的tokens
3. **上下文最大长度**每个聊天最多的轮数除以2建议设置为偶数。可以持续聊天但是旧的聊天内容会被截断AI 就不会知道被截取的内容。
例如上下文最大长度为6。在第 4 轮对话时,第一轮对话的内容不会被计入。
4. **过期时间**:生成对话框后,这个对话框多久过期。
5. **聊天最大加载次数**:单个对话框最多被加载几次,设置为-1代表不限制正数代表只能加载 n 次,防止被盗刷。
### 对话框介绍
1. 每个对话框以 windowId 作为标识。
2. 每次点击【对话】,都会生成新的对话框,无法回到旧的对话框。对话框内刷新,会恢复对话内容。
3. 直接分享对话框(网页)的链接给朋友,会共享同一个对话内容。但是!!!千万不要两个人同时用一个链接,会串味,还没解决这个问题。
4. 如果想分享一个纯的对话框,可以把链接里 windowId 参数去掉。例如:
* 当前网页链接http://docgpt.ahapocket.cn/chat?chatId=6402c9f64cb5d6283f764&windowId=6402c94cb5d6283f76fb49
* 分享链接应为http://docgpt.ahapocket.cn/chat?chatId=6402c9f64cb5d6283f764
### 其他问题
还有其他问题,可以加我 wx拉个交流群大家一起聊聊。
![](/imgs/erweima.jpg)
## 其他问题
### Mac 可能的问题
> 因为教程有部分镜像不兼容arm64所以写个文档指导新手如何快速在mac上面搭建fast-gpt[如何在mac上面部署fastgpt](./docs/mac.md)

66
deploy/docker-compose.yml Normal file
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version: '3.3'
services:
fast-gpt:
image: c121914yu/fast-gpt:latest
network_mode: host
restart: always
container_name: fast-gpt
environment:
# - AXIOS_PROXY_HOST=127.0.0.1
# - AXIOS_PROXY_PORT=7890
# - OPENAI_BASE_URL=https://api.openai.com/v1
# - OPENAI_BASE_URL_AUTH=可选的安全凭证
- MY_MAIL=xxxx@qq.com
- MAILE_CODE=xxxx
- aliAccessKeyId=xxxx
- aliAccessKeySecret=xxxx
- aliSignName=xxxxx
- aliTemplateCode=SMS_xxxx
- TOKEN_KEY=xxxx
- queueTask=1
- parentUrl=https://hostname/api/openapi/startEvents
- MONGODB_URI=mongodb://username:passsword@0.0.0.0:27017/?authSource=admin
- MONGODB_NAME=xxx
- PG_HOST=0.0.0.0
- PG_PORT=8100
- PG_USER=xxx
- PG_PASSWORD=xxx
- PG_DB_NAME=xxx
- OPENAIKEY=sk-xxxxx
nginx:
image: nginx:alpine3.17
container_name: nginx
restart: always
network_mode: host
volumes:
- /root/fast-gpt/nginx/nginx.conf:/etc/nginx/nginx.conf:ro
- /root/fast-gpt/nginx/logs:/var/log/nginx
- /root/fast-gpt/nginx/ssl/docgpt.key:/ssl/docgpt.key
- /root/fast-gpt/nginx/ssl/docgpt.pem:/ssl/docgpt.pem
pg:
image: ankane/pgvector
container_name: pg
restart: always
ports:
- 8100:5432
environment:
- POSTGRES_USER=xxx
- POSTGRES_PASSWORD=xxx
- POSTGRES_DB=xxx
volumes:
- /root/fast-gpt/pg/data:/var/lib/postgresql/data
- /root/fast-gpt/pg/init.sql:/docker-entrypoint-initdb.d/init.sh
- /etc/localtime:/etc/localtime:ro
mongodb:
image: mongo:4.0.1
container_name: mongo
restart: always
ports:
- 27017:27017
environment:
- MONGO_INITDB_ROOT_USERNAME=username
- MONGO_INITDB_ROOT_PASSWORD=password
volumes:
- /root/fast-gpt/mongo/data:/data/db
- /root/fast-gpt/mongo/logs:/var/log/mongodb
- /etc/localtime:/etc/localtime:ro

49
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user nginx;
worker_processes auto;
worker_rlimit_nofile 51200;
events {
worker_connections 1024;
}
http {
access_log off;
server_names_hash_bucket_size 512;
client_header_buffer_size 32k;
large_client_header_buffers 4 32k;
client_max_body_size 50M;
gzip on;
gzip_min_length 1k;
gzip_buffers 4 8k;
gzip_http_version 1.1;
gzip_comp_level 6;
gzip_vary on;
gzip_types text/plain application/x-javascript text/css application/javascript application/json application/xml;
gzip_disable "MSIE [1-6]\.";
open_file_cache max=1000 inactive=1d;
open_file_cache_valid 30s;
open_file_cache_min_uses 8;
open_file_cache_errors off;
server {
listen 443 ssl;
server_name docgpt.ahapocket.cn;
ssl_certificate /ssl/docgpt.pem;
ssl_certificate_key /ssl/docgpt.key;
ssl_session_timeout 5m;
location / {
proxy_pass http://localhost:3000;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
}
}
server {
listen 80;
server_name docgpt.ahapocket.cn;
rewrite ^(.*) https://$server_name$1 permanent;
}
}

19
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@@ -0,0 +1,19 @@
set -e
psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" <<-EOSQL
CREATE EXTENSION vector;
-- init table
CREATE TABLE modelData (
id BIGSERIAL PRIMARY KEY,
vector VECTOR(1536),
status VARCHAR(50) NOT NULL,
user_id VARCHAR(50) NOT NULL,
model_id VARCHAR(50) NOT NULL,
q TEXT NOT NULL,
a TEXT NOT NULL
);
-- create index
CREATE INDEX modelData_status_index ON modelData USING HASH (status);
CREATE INDEX modelData_userId_index ON modelData USING HASH (user_id);
CREATE INDEX modelData_modelId_index ON modelData USING HASH (model_id);
EOSQL

19
deploy/run.sh Normal file
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@@ -0,0 +1,19 @@
#!/bin/bash
docker-compose pull
docker-compose up -d
echo "Docker Compose 重新拉取镜像完成!"
# 删除本地旧镜像
images=$(docker images --format "{{.ID}} {{.Repository}}" | grep fast-gpt)
# 将镜像 ID 和名称放入数组中
IFS=$'\n' read -rd '' -a image_array <<<"$images"
# 遍历数组并删除所有旧的镜像
for ((i=1; i<${#image_array[@]}; i++))
do
image=${image_array[$i]}
image_id=${image%% *}
docker rmi $image_id
done

View File

@@ -1,4 +0,0 @@
{"prompt": "sealos的介绍", "completion": "sealos 是以 kubernetes 为内核的云操作系统发行版"}
{"prompt": "sealos是什么", "completion": "sealos 是以 kubernetes 为内核的云操作系统发行版"}
{"prompt": "sealos安装的先决条件", "completion": "sealos 是一个简单的 go 二进制文件,可以安装在大多数 Linux 操作系统中。"}
{"prompt": "sealos的CPU架构", "completion": "目前支持 amd64 和 arm64 架构。"}

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100
docs/mac.md Normal file
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## 怎么在mac上面部署fastgpt
### 前置条件
1、可以 curl api.openai.com
2、有openai key
3、有邮箱MAILE_CODE
4、有docker
```
docker -v
```
5、有pnpm ,可以使用`brew install pnpm`安装
6、需要创建一个放置pg和mongo数据的文件夹这里创建在`~/fastgpt`目录中,里面有`pg``mongo `两个文件夹
```
➜ fast-gpt pwd
/Users/jie/fast-gpt
➜ fast-gpt ls
mongo pg
```
### docker部署方式
这种方式主要是为了方便调试,可以使用`pnpm dev ` 运行fast-gpt项目
**1、.env.local 文件**
```
# proxy
AXIOS_PROXY_HOST=127.0.0.1
AXIOS_PROXY_PORT_FAST=7890
AXIOS_PROXY_PORT_NORMAL=7890
queueTask=1
# email
MY_MAIL= {Your Mail}
MAILE_CODE={Yoir Mail code}
# ali ems
aliAccessKeyId=xxx
aliAccessKeySecret=xxx
aliSignName=xxx
aliTemplateCode=SMS_xxx
# token
TOKEN_KEY=sswada
# openai
OPENAIKEY={Your openapi key}
# db
MONGODB_URI=mongodb://username:password@0.0.0.0:27017/test?authSource=admin
PG_HOST=0.0.0.0
PG_PORT=8100
PG_USER=xxx
PG_PASSWORD=xxx
PG_DB_NAME=xxx
```
**2、部署mongo**
```
docker run --name mongo -p 27017:27017 -e MONGO_INITDB_ROOT_USERNAME=username -e MONGO_INITDB_ROOT_PASSWORD=password -v ~/fast-gpt/mongo/data:/data/db -d mongo:4.0.1
```
**3、部署pgsql**
```
docker run -it --name pg -e "POSTGRES_PASSWORD=xxx" -e POSTGRES_USER=xxx -p 8100:5432 -v ~/fast-gpt/pg/data:/var/lib/postgresql/data -d octoberlan/pgvector:v0.4.1
```
进pgsql容器运行
```
psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" <<-EOSQL
CREATE EXTENSION vector;
-- init table
CREATE TABLE modelData (
id BIGSERIAL PRIMARY KEY,
vector VECTOR(1536),
status VARCHAR(50) NOT NULL,
user_id VARCHAR(50) NOT NULL,
model_id VARCHAR(50) NOT NULL,
q TEXT NOT NULL,
a TEXT NOT NULL
);
-- create index
CREATE INDEX modelData_status_index ON modelData (status);
CREATE INDEX modelData_modelId_index ON modelData (modelId);
CREATE INDEX modelData_userId_index ON modelData (userId);
EOSQL
```
4、**最后在FASTGPT项目里面运行pnpm dev 运行项目然后进入localhost:3000 看项目是否跑起来了**

68
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# 安装 clash
clash 会在本机启动代理。对应的,你需要配置项目的两个环境变量:
```
AXIOS_PROXY_HOST=127.0.0.1
AXIOS_PROXY_PORT=7890
```
需要注的是,在你的 config.yaml 文件中,最好仅指定 api.openai.com 走代理,其他请求都直连。
**安装clash**
```bash
# 下载包
curl https://glados.rocks/tools/clash-linux.zip -o clash.zip
# 解压
unzip clash.zip
# 下载终端配置⽂件(改成自己配置文件路径)
curl https://update.glados-config.com/clash/98980/8f30944/70870/glados-terminal.yaml > config.yaml
# 赋予运行权限
chmod +x ./clash-linux-amd64-v1.10.0
```
**runClash.sh**
```sh
# 记得配置端口变量:
export ALL_PROXY=socks5://127.0.0.1:7891
export http_proxy=http://127.0.0.1:7890
export https_proxy=http://127.0.0.1:7890
export HTTP_PROXY=http://127.0.0.1:7890
export HTTPS_PROXY=http://127.0.0.1:7890
# 运行脚本: 删除clash - 到 clash 目录 - 删除缓存 - 执行运行. 会生成一个 nohup.out 文件,可以看到 clash 的 logs
OLD_PROCESS=$(pgrep clash)
if [ ! -z "$OLD_PROCESS" ]; then
echo "Killing old process: $OLD_PROCESS"
kill $OLD_PROCESS
fi
sleep 2
cd **/clash
rm -f ./nohup.out || true
rm -f ./cache.db || true
nohup ./clash-linux-amd64-v1.10.0 -d ./ &
echo "Restart clash"
```
**config.yaml配置例子**
```yaml
mixed-port: 7890
allow-lan: false
bind-address: '*'
mode: rule
log-level: warning
dns:
enable: true
ipv6: false
nameserver:
- 8.8.8.8
- 8.8.4.4
cache-size: 400
proxies:
-
proxy-groups:
- { name: '♻️ 自动选择', type: url-test, proxies: [香港V01×1.5], url: 'https://api.openai.com', interval: 3600}
rules:
- 'DOMAIN-SUFFIX,api.openai.com,♻️ 自动选择'
- 'MATCH,DIRECT'
```

46
docs/proxy/cloudflare.md Normal file
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@@ -0,0 +1,46 @@
# cloudflare 代理配置
[来自 "不做了睡觉" 教程](https://gravel-twister-d32.notion.site/FastGPT-API-ba7bb261d5fd4fd9bbb2f0607dacdc9e)
**workers 配置文件**
```js
const TELEGRAPH_URL = 'https://api.openai.com';
addEventListener('fetch', (event) => {
event.respondWith(handleRequest(event.request));
});
async function handleRequest(request) {
// 安全校验
if (request.headers.get('auth') !== 'auth_code') {
return new Response('UnAuthorization', { status: 403 });
}
const url = new URL(request.url);
url.host = TELEGRAPH_URL.replace(/^https?:\/\//, '');
const modifiedRequest = new Request(url.toString(), {
headers: request.headers,
method: request.method,
body: request.body,
redirect: 'follow'
});
const response = await fetch(modifiedRequest);
const modifiedResponse = new Response(response.body, response);
// 添加允许跨域访问的响应头
modifiedResponse.headers.set('Access-Control-Allow-Origin', '*');
return modifiedResponse;
}
```
**对应的环境变量**
务必别忘了填 v1
```
OPENAI_BASE_URL=https://xxxxxx/v1
OPENAI_BASE_URL_AUTH=auth_code
```

72
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# nginx 反向代理 openai 接口
如果你有国外的服务器,可以通过配置 nginx 反向代理,转发 openai 相关的请求,从而让国内的服务器可以通过访问该 nginx 去访问 openai 接口。
```conf
user nginx;
worker_processes auto;
worker_rlimit_nofile 51200;
events {
worker_connections 1024;
}
http {
resolver 8.8.8.8;
proxy_ssl_server_name on;
access_log off;
server_names_hash_bucket_size 512;
client_header_buffer_size 32k;
large_client_header_buffers 4 32k;
client_max_body_size 50M;
gzip on;
gzip_min_length 1k;
gzip_buffers 4 8k;
gzip_http_version 1.1;
gzip_comp_level 6;
gzip_vary on;
gzip_types text/plain application/x-javascript text/css application/javascript application/json application/xml;
gzip_disable "MSIE [1-6]\.";
open_file_cache max=1000 inactive=1d;
open_file_cache_valid 30s;
open_file_cache_min_uses 8;
open_file_cache_errors off;
server {
listen 443 ssl;
server_name your_host;
ssl_certificate /ssl/your_host.pem;
ssl_certificate_key /ssl/your_host.key;
ssl_session_timeout 5m;
location ~ /openai/(.*) {
# auth check
if ($http_authkey != "xxxxxx") {
return 403;
}
proxy_pass https://api.openai.com/$1$is_args$args;
proxy_set_header Host api.openai.com;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
# 流式响应
proxy_set_header Connection '';
proxy_http_version 1.1;
chunked_transfer_encoding off;
proxy_buffering off;
proxy_cache off;
# 一般响应
proxy_buffer_size 128k;
proxy_buffers 4 256k;
proxy_busy_buffers_size 256k;
}
}
server {
listen 80;
server_name ai.fastgpt.run;
rewrite ^(.*) https://$server_name$1 permanent;
}
}
```

View File

@@ -1,12 +1,25 @@
/** @type {import('next').NextConfig} */
const path = require('path');
const isDev = process.env.NODE_ENV === 'development';
const nextConfig = {
output: 'standalone',
reactStrictMode: false,
compress: true
compress: true,
webpack(config) {
config.experiments = {
asyncWebAssembly: true,
layers: true
};
config.module.rules = config.module.rules.concat([
{
test: /\.svg$/i,
issuer: /\.[jt]sx?$/,
use: ['@svgr/webpack']
}
]);
return config;
}
};
module.exports = nextConfig;

View File

@@ -1,5 +1,5 @@
{
"name": "docgpt",
"name": "fastgpt",
"version": "0.1.0",
"private": true,
"scripts": {
@@ -11,56 +11,72 @@
"format": "prettier --config \"./.prettierrc.js\" --write \"./src/**/*.{ts,tsx,scss}\""
},
"dependencies": {
"@alicloud/dysmsapi20170525": "^2.0.23",
"@alicloud/openapi-client": "^0.4.5",
"@alicloud/tea-util": "^1.4.5",
"@chakra-ui/icons": "^2.0.17",
"@chakra-ui/react": "^2.5.1",
"@chakra-ui/system": "^2.5.1",
"@chakra-ui/system": "^2.5.5",
"@dqbd/tiktoken": "^1.0.6",
"@emotion/react": "^11.10.6",
"@emotion/styled": "^11.10.6",
"@next/font": "13.1.6",
"@reduxjs/toolkit": "^1.9.3",
"@tanstack/react-query": "^4.24.10",
"@types/nprogress": "^0.2.0",
"axios": "^1.3.3",
"crypto": "^1.0.1",
"dayjs": "^1.11.7",
"eslint": "8.34.0",
"eslint-config-next": "13.1.6",
"eventsource-parser": "^0.1.0",
"formidable": "^2.1.1",
"framer-motion": "^9.0.6",
"graphemer": "^1.4.0",
"hyperdown": "^2.4.29",
"immer": "^9.0.19",
"jsonwebtoken": "^9.0.0",
"lodash": "^4.17.21",
"mammoth": "^1.5.1",
"mongoose": "^6.10.0",
"nanoid": "^4.0.1",
"next": "13.1.6",
"nodemailer": "^6.9.1",
"nprogress": "^0.2.0",
"openai": "^3.2.1",
"papaparse": "^5.4.1",
"pg": "^8.10.0",
"react": "18.2.0",
"react-dom": "18.2.0",
"react-hook-form": "^7.43.1",
"react-markdown": "^8.0.5",
"react-syntax-highlighter": "^15.5.0",
"redis": "^4.6.5",
"rehype-katex": "^6.0.2",
"remark-gfm": "^3.0.1",
"remark-math": "^5.1.1",
"sass": "^1.58.3",
"sharp": "^0.31.3",
"tunnel": "^0.0.6",
"typescript": "4.9.5",
"uuid": "^9.0.0",
"wxpay-v3": "^3.0.2",
"zustand": "^4.3.5"
},
"devDependencies": {
"@svgr/webpack": "^6.5.1",
"@types/formidable": "^2.0.5",
"@types/jsonwebtoken": "^9.0.1",
"@types/lodash": "^4.14.191",
"@types/node": "18.14.0",
"@types/nodemailer": "^6.4.7",
"@types/papaparse": "^5.3.7",
"@types/pg": "^8.6.6",
"@types/react": "18.0.28",
"@types/react-dom": "18.0.11",
"@types/react-syntax-highlighter": "^15.5.6",
"@types/tunnel": "^0.0.3",
"@types/uuid": "^9.0.1",
"eslint": "8.34.0",
"eslint-config-next": "13.1.6",
"husky": "^8.0.3",
"lint-staged": "^13.1.2",
"prettier": "^2.8.4"
"prettier": "^2.8.4",
"typescript": "4.9.5"
},
"lint-staged": {
"./src/**/*.{ts,tsx,scss}": "npm run format"

4359
pnpm-lock.yaml generated

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@@ -1,21 +0,0 @@
{"prompt":"什么是死锁?如何避免死锁?\n\n###\n\n","completion":" 死锁是指两个或多个进程在执行过程中,由于互相等待对方释放资源而造成的一种僵局。避免死锁的常用方法包括:破坏互斥条件、破坏请求和保持条件、破坏不剥夺条件、破坏循环等待条件。###"}
{"prompt":"什么是虚拟内存?\n\n###\n\n","completion":" 虚拟内存是指一种计算机内存管理技术,它使得操作系统可以将进程所使用的虚拟地址空间映射到物理内存中,从而可以让多个进程共享物理内存。当物理内存不足时,操作系统会将一部分不常用的内存页面暂时存储到硬盘上,这样就可以释放出更多的物理内存供其他进程使用。###"}
{"prompt":"什么是分页和分段?有什么区别?\n\n###\n\n","completion":" 分页和分段是虚拟内存管理中常用的两种技术。分页是将虚拟地址空间划分为固定大小的页面,而分段则是将虚拟地址空间划分为不同大小的段。区别在于,分页的页面大小是固定的,而分段的段大小是可变的;另外,分页是为了实现虚拟内存,而分段则是为了实现逻辑地址空间的管理。###"}
{"prompt":"什么是lru算法\n\n###\n\n","completion":" lru算法是一种页面置换算法它的全称是least recently used即最近最少使用算法。lru算法的基本思想是在物理内存中维护一个页面访问历史记录当需要替换一页时选择最近最少被访问的页面进行替换。###"}
{"prompt":"什么是文件系统?\n\n###\n\n","completion":" 文件系统是一种用于管理计算机存储设备上文件和目录的组织方式。文件系统通常包括存储管理、目录管理、文件访问控制、文件系统维护等功能。常见的文件系统包括fat、ntfs、ext等。###"}
{"prompt":"什么是并发和并行?\n\n###\n\n","completion":" 并发是指多个任务交替执行的情况,而并行是指多个任务同时执行的情况。并发的实现方式是通过时间分片技术,而并行的实现方式是通过多核处理器等硬件设备。###"}
{"prompt":"什么是系统调用?\n\n###\n\n","completion":" 系统调用是操作系统中的一种机制,它允许用户空间程序请求操作系统内核提供一些服务,如读写文件、创建进程等。系统调用通常是通过软中断实现的###"}
{"prompt":"什么是进程间通信?\n\n###\n\n","completion":" 进程间通信是指不同进程之间进行数据交换和通信的机制,常见的方式有管道、共享内存、消息队列、信号量等。###"}
{"prompt":"什么是文件描述符?\n\n###\n\n","completion":" 文件描述符是一个非负整数它是操作系统内核为了管理打开的文件而维护的一种抽象概念。应用程序使用文件描述符来访问文件或其他i\/o设备###"}
{"prompt":"什么是中断? \n\n###\n\n","completion":" 中断是指计算机硬件或软件在执行程序时,暂停当前程序的执行,转而去执行另一个程序或处理器所需的其他任务的过程。中断可以是外部中断、内部中断或软中断。###"}
{"prompt":"什么是页表?\n\n###\n\n","completion":" 页表是一种数据结构,它用于将虚拟地址转换为物理地址。在虚拟内存中,每个进程都有自己的页表,它描述了虚拟地址空间中每个页面对应的物理地址。 ###"}
{"prompt":"什么是僵尸进程?\n\n###\n\n","completion":" 僵尸进程是指一个已经完成执行但其父进程还没有对其进行善后处理的进程,它会一直占用系统资源,直到其父进程将其处理为止。###"}
{"prompt":"什么是守护进程? \n\n###\n\n","completion":" 守护进程是一种在后台运行的特殊进程,它通常用于提供某种服务或执行某种系统任务。守护进程通常不与任何用户界面交互,也不会终止,直到操作系统关机或重启。###"}
{"prompt":"计算机操作系统是什么?\n\n###\n\n","completion":" 计算机操作系统是一种控制计算机硬件和协调应用程序运行的系统软件。###"}
{"prompt":"什么是进程?\n\n###\n\n","completion":" 进程是一个正在执行中的程序实例,它包括了程序计数器、堆栈、数据区等信息。###"}
{"prompt":"什么是线程?\n\n###\n\n","completion":" 线程是操作系统能够进行运算调度的最小单位,它是进程的一个执行流程,共享进程的地址空间。###"}
{"prompt":"什么是虚拟内存?\n\n###\n\n","completion":" 虚拟内存是一种计算机系统内存管理技术,它使得应用程序认为它拥有连续的可用的内存,而实际上它通常是被分成多个物理内存碎片。###"}
{"prompt":"什么是死锁?\n\n###\n\n","completion":" 死锁是指两个或多个进程在执行过程中,因争夺资源而造成的一种互相等待的现象,导致所有进程都无法继续执行。###"}
{"prompt":"什么是缓存?\n\n###\n\n","completion":" 缓存是指在计算机中暂存数据的高速存储器,它可以提高计算机对数据的访问速度,避免频繁地访问较慢的主存储器。###"}
{"prompt":"什么是文件系统?\n\n###\n\n","completion":" 文件系统是计算机中用来管理和组织文件的一种机制,它通过一系列的数据结构来描述文件和目录的组织方式,以及文件如何存储和访问。###"}
{"prompt":"什么是调度算法?\n\n###\n\n","completion":" 调度算法是指操作系统中用来决定进程或线程在cpu上执行顺序的一种算法它的目标是最大化系统吞吐量、最小化响应时间或最大化资源利用率等。###"}

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### 常见问题
**请求次数太多了**
一般是因为自己的 openai 账号异常。请先检查自己的账号是否正常使用。
**内容长度**
chatgpt 上下文最长 4096 tokens, 上下文超长时会报错。
**删除和复制**
电脑端:聊天内容右侧有复制和删除的图标。
移动端:点击对话头像,可以选择复制或删除该条内容。
**代理出错**
服务器代理不稳定,可以过一会儿再尝试。 或者可以访问国外服务器: [FastGpt](https://fastgpt.run/)

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接受一个csv文件表格头包含 question 和 answer。question 代表问题answer 代表答案。
导入前会进行去重,如果问题和答案完全相同,则不会被导入,所以最终导入的内容可能会比文件的内容少。但是,对于带有换行的内容,目前无法去重。
| question | answer |
| --- | --- |
| 什么是 laf | laf 是一个云函数开发平台…… |
| 什么是 sealos | Sealos 是以 kubernetes 为内核的云操作系统发行版,可以…… |

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## 欢迎使用 Fast GPT
[Git 仓库](https://github.com/c121914yu/FastGPT)
### 交流群/问题反馈
扫码满了,加个小号,定时拉
wx号: fastgpt123
![](/imgs/wx300.jpg)
### 快速开始
1. 使用手机号注册账号。
2. 进入账号页面,添加关联账号,目前只有 openai 的账号可以添加,直接去 openai 官网,把 API Key 粘贴过来。
3. 如果填写了自己的 openai 账号,使用时会直接用你的账号。如果没有填写,需要付费使用平台的账号。
4. 进入模型页,创建一个模型,建议直接用 ChatGPT。
5. 在模型列表点击【对话】,即可使用 API 进行聊天。
### 价格表
如果使用了自己的 Api Key不会计费。可以在账号页看到详细账单。单纯使用 chatGPT 模型进行对话,只有一个计费项目。使用知识库时,包含**对话**和**索引**生成两个计费项。
| 计费项 | 价格: 元/ 1K tokens包含上下文|
| --- | --- |
| chatgpt - 对话 | 0.03 |
| 知识库 - 对话 | 0.03 |
| 知识库 - 索引 | 0.004 |
| 文件拆分 | 0.03 |
### 定制 prompt
1. 进入模型编辑页
2. 调整温度和提示词
3. 使用该模型对话。每次对话时,提示词和温度都会自动注入,方便管理个人的模型。建议把自己日常经常需要使用的 5~10 个方向预设好。
### 知识库
1. 创建模型时选择【知识库】
2. 进入模型编辑页
3. 导入数据,可以选择手动导入,或者选择文件导入。文件导入会自动调用 chatGPT 理解文件内容,并生成知识库。
4. 使用该模型对话。
注意使用知识库模型对话时tokens 消耗会加快。

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你正准备分享对话,请确保分享链接不会滥用,因为它是使用的是你的 API key。
* 分享空白对话:为该模型创建一个空白的聊天分享出去。
* 分享当前对话:会把当前聊天的内容也分享出去,但是要注意不要多个人同时用一个聊天内容。

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### Fast GPT V3.1
- 优化 - 模型结构设计,不再区分知识库和对话模型,而是通过开关的形式,手动选择手否需要进行知识库搜索。
- 新增 - 模型共享市场,可以使用其他用户分享的模型。
- 新增 - 邀请好友注册功能。

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{"prompt": "什么是高潜公司\n\n###\n\n", "completion": " 高潜公司是指高潜力的公司,其所处的赛道有发展潜力和前景。###"}
{"prompt": "高潜公司的优势是什么\n\n###\n\n", "completion": " 高潜公司所处的整个行业和赛道有一定的增量空间头部vc通过严格的筛选和加持为高潜公司背书高潜公司的创始者一般都特别优秀。加入高潜公司可以获得很多机会来锻炼自己、强化自己的认知快速成长、展现自己并有可能成为公司扩张后的管理层###"}
{"prompt": "高潜公司的风险是什么\n\n###\n\n", "completion": " 高潜公司的高风险问题也很明显。一旦公司失败,很多边缘人就会被淘汰掉。但宏观来讲,只要赛道是有潜力的,即便这家公司失败了,也可以跳槽到成功的公司去。###"}
{"prompt": "高潜公司的例子有哪些\n\n###\n\n", "completion": " 很多高潜公司在做最近比较火的AIGC包括去年的元宇宙前两年比较火的新消费、企业服务和出海之类的。###"}
{"prompt": "为什么现在加入大厂的前景不广阔?\n\n###\n\n", "completion": " 今年的大形势之下互联网大厂纷纷开始裁员、取消普调、晋升比例严重缩水HC也急剧减少。###"}
{"prompt": "加入高潜公司可以获得什么样的机会?\n\n###\n\n", "completion": " 加入高潜公司可以获得很多机会来锻炼自己、强化自己的认知,快速成长、展现自己,并有可能成为公司扩张后的管理层。###"}
{"prompt": "什么是高潜公司?\n\n###\n\n", "completion": " 高潜公司的定义是“高潜力的公司”所处的行业和赛道有发展潜力和前景头部vc为其背书创始者一般都特别优秀。###"}
{"prompt": "加入高潜公司有哪些优点\n\n###\n\n", "completion": " 加入高潜公司能够获得锻炼自己、强化认知的机会,快速成长、展现自己,在公司扩张后成为团队的管理层。同时,所处的行业还处于上升期,发展前景广阔。###"}
{"prompt": "高潜公司存在哪些风险?\n\n###\n\n", "completion": " 高潜公司存在高风险问题,一旦公司失败,很多边缘人就会被淘汰掉。但宏观来讲,只要赛道是有潜力的,即便这家公司失败了,也可以跳槽到成功的公司去。###"}
{"prompt": "高潜公司和互联网有什么相似之处?\n\n###\n\n", "completion": " 目前来说,高潜公司的风格大部分都比较像互联网大厂,有风格,但又没有那么内卷,因为大家每天都在开拓边疆,突破和探索市场的边界。同时,互联网产业的蓬勃发展也给其他行业,包括新能源汽车、新消费等,带来了用户增长和运营的经验###"}
{"prompt": "互联网大厂的制度和分工如何?\n\n###\n\n", "completion": " 目前的互联网大厂的制度和分工非常明确基本是按照一些标准SOP做事。同时由于已经没有用户增量了内卷和向上管理的问题也比较严重。###"}
{"prompt": "高潜公司对于哪些毕业生是很好的选择\n\n###\n\n", "completion": " 对于追求长期创造价值而非想找份安稳的工作的毕业生来说,高潜公司是很好的选择。###"}
{"prompt": "互联网大厂的晋升方式有哪些?\n\n###\n\n", "completion": " 互联网大厂的晋升方式有两种:老板特别喜欢你或者你的战功支撑你的竞争###"}
{"prompt": "为什么目前更多优秀的人都会加入创业公司?\n\n###\n\n", "completion": " 目前社会的大趋势是更多优秀的人都会加入创业公司,因为真正在创造价值的其实永远是创业公司###"}
{"prompt": "为什么选择高潜公司主要是因为我们迎来了什么三个繁荣?\n\n###\n\n", "completion": " 选择高潜公司主要是因为我们迎来了创新生态的三个繁荣:人才繁荣、资本繁荣和环境繁荣###"}
{"prompt": "资本繁荣是如何推动创业生态的崛起的?\n\n###\n\n", "completion": " 资本繁荣无论中国还是美国创业生态的崛起都是伴随着移动互联网的发展。中国这一代VC的崛起主要是通过投资移动互联网项目所积累的战绩扩大了资金池通过这些成本低、增长快、回报率高的项目才有了底气去推动更多行业发展尝试着投资toB和硬科技这类成本高、增长慢、回报率低、风险大的项目。###"}
{"prompt": "环境繁荣是指什么?\n\n###\n\n", "completion": " 环境繁荣是指互联网带动起经济发展后,各地政府也开始了对于创业进行培育,免费场地、巨额无偿补贴、各地送钱竞赛,大幅度降低了创业成本。###"}
{"prompt": "高潜公司对于追求长期创造价值的毕业生来说为什么是好的选择?\n\n###\n\n", "completion": " 因为在高潜公司,毕业生可以通过参与创业公司的发展,获得更多的机会和成长空间,而不是被固定在某个职位上。此外,高潜公司通常会注重团队建设和文化建设,能够提供更好的工作环境和发展机会。###"}
{"prompt": "如果想要寻找高潜公司,有哪些渠道可以利用?\n\n###\n\n", "completion": " 可以利用领英职场app和知潜微信小程序。领英职场app中入驻了很多高潜公司及高管而知潜小程序现在也已经有100+高潜力创业公司入驻都是经过筛选的、top VC投资过且赛道有前景的公司。此外红杉和真格等VC机构自己的公众号也会经常披露投资的企业。###"}
{"prompt": "为什么现在更多优秀的人才会加入创业公司?\n\n###\n\n", "completion": " 因为在当前社会的大趋势下,创业公司成为了创新生态的重要组成部分。创业公司在创造价值和推动行业发展方面具有更大的空间和潜力,而且随着移动互联网的发展,创业公司的崛起也得到了资本和政策的支持。因此,更多优秀的人才选择加入创业公司,以实现自己的创业梦想和获得更好的发展机会。###"}
{"prompt": "高潜公司的优势在哪些方面?\n\n###\n\n", "completion": " 高潜公司在团队建设、文化建设和发展机会等方面具有优势。高潜公司通常会注重团队建设和文化建设,能够提供更好的工作环境和发展机会。同时,高潜公司的发展潜力和创新能力也很强,可以为毕业生提供更多的机会和成长空间。###"}

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{"prompt":"什么是死锁?如何避免死锁?\n\n###\n\n","completion":" 死锁是指两个或多个进程在执行过程中,由于互相等待对方释放资源而造成的一种僵局。避免死锁的常用方法包括:破坏互斥条件、破坏请求和保持条件、破坏不剥夺条件、破坏循环等待条件。###"}
{"prompt":"什么是虚拟内存?\n\n###\n\n","completion":" 虚拟内存是指一种计算机内存管理技术,它使得操作系统可以将进程所使用的虚拟地址空间映射到物理内存中,从而可以让多个进程共享物理内存。当物理内存不足时,操作系统会将一部分不常用的内存页面暂时存储到硬盘上,这样就可以释放出更多的物理内存供其他进程使用。###"}
{"prompt":"什么是分页和分段?有什么区别?\n\n###\n\n","completion":" 分页和分段是虚拟内存管理中常用的两种技术。分页是将虚拟地址空间划分为固定大小的页面,而分段则是将虚拟地址空间划分为不同大小的段。区别在于,分页的页面大小是固定的,而分段的段大小是可变的;另外,分页是为了实现虚拟内存,而分段则是为了实现逻辑地址空间的管理。###"}
{"prompt":"什么是lru算法\n\n###\n\n","completion":" lru算法是一种页面置换算法它的全称是least recently used即最近最少使用算法。lru算法的基本思想是在物理内存中维护一个页面访问历史记录当需要替换一页时选择最近最少被访问的页面进行替换。###"}
{"prompt":"什么是文件系统?\n\n###\n\n","completion":" 文件系统是一种用于管理计算机存储设备上文件和目录的组织方式。文件系统通常包括存储管理、目录管理、文件访问控制、文件系统维护等功能。常见的文件系统包括fat、ntfs、ext等。###"}
{"prompt":"什么是并发和并行?\n\n###\n\n","completion":" 并发是指多个任务交替执行的情况,而并行是指多个任务同时执行的情况。并发的实现方式是通过时间分片技术,而并行的实现方式是通过多核处理器等硬件设备。###"}
{"prompt":"什么是系统调用?\n\n###\n\n","completion":" 系统调用是操作系统中的一种机制,它允许用户空间程序请求操作系统内核提供一些服务,如读写文件、创建进程等。系统调用通常是通过软中断实现的###"}
{"prompt":"什么是进程间通信?\n\n###\n\n","completion":" 进程间通信是指不同进程之间进行数据交换和通信的机制,常见的方式有管道、共享内存、消息队列、信号量等。###"}
{"prompt":"什么是文件描述符?\n\n###\n\n","completion":" 文件描述符是一个非负整数它是操作系统内核为了管理打开的文件而维护的一种抽象概念。应用程序使用文件描述符来访问文件或其他i\/o设备###"}
{"prompt":"什么是中断? \n\n###\n\n","completion":" 中断是指计算机硬件或软件在执行程序时,暂停当前程序的执行,转而去执行另一个程序或处理器所需的其他任务的过程。中断可以是外部中断、内部中断或软中断。###"}
{"prompt":"什么是页表?\n\n###\n\n","completion":" 页表是一种数据结构,它用于将虚拟地址转换为物理地址。在虚拟内存中,每个进程都有自己的页表,它描述了虚拟地址空间中每个页面对应的物理地址。 ###"}
{"prompt":"什么是僵尸进程?\n\n###\n\n","completion":" 僵尸进程是指一个已经完成执行但其父进程还没有对其进行善后处理的进程,它会一直占用系统资源,直到其父进程将其处理为止。###"}
{"prompt":"什么是守护进程? \n\n###\n\n","completion":" 守护进程是一种在后台运行的特殊进程,它通常用于提供某种服务或执行某种系统任务。守护进程通常不与任何用户界面交互,也不会终止,直到操作系统关机或重启。###"}
{"prompt":"计算机操作系统是什么?\n\n###\n\n","completion":" 计算机操作系统是一种控制计算机硬件和协调应用程序运行的系统软件。###"}
{"prompt":"什么是进程?\n\n###\n\n","completion":" 进程是一个正在执行中的程序实例,它包括了程序计数器、堆栈、数据区等信息。###"}
{"prompt":"什么是线程?\n\n###\n\n","completion":" 线程是操作系统能够进行运算调度的最小单位,它是进程的一个执行流程,共享进程的地址空间。###"}
{"prompt":"什么是虚拟内存?\n\n###\n\n","completion":" 虚拟内存是一种计算机系统内存管理技术,它使得应用程序认为它拥有连续的可用的内存,而实际上它通常是被分成多个物理内存碎片。###"}
{"prompt":"什么是死锁?\n\n###\n\n","completion":" 死锁是指两个或多个进程在执行过程中,因争夺资源而造成的一种互相等待的现象,导致所有进程都无法继续执行。###"}
{"prompt":"什么是缓存?\n\n###\n\n","completion":" 缓存是指在计算机中暂存数据的高速存储器,它可以提高计算机对数据的访问速度,避免频繁地访问较慢的主存储器。###"}
{"prompt":"什么是文件系统?\n\n###\n\n","completion":" 文件系统是计算机中用来管理和组织文件的一种机制,它通过一系列的数据结构来描述文件和目录的组织方式,以及文件如何存储和访问。###"}
{"prompt":"什么是调度算法?\n\n###\n\n","completion":" 调度算法是指操作系统中用来决定进程或线程在cpu上执行顺序的一种算法它的目标是最大化系统吞吐量、最小化响应时间或最大化资源利用率等。###"}

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@@ -1,65 +1,35 @@
import { GET, POST, DELETE } from './request';
import { ChatItemType, ChatSiteType, ChatSiteItemType } from '@/types/chat';
/**
* 获取一个聊天框的ID
*/
export const getChatSiteId = (modelId: string) => GET<string>(`/chat/generate?modelId=${modelId}`);
import type { ChatItemType } from '@/types/chat';
import type { InitChatResponse } from './response/chat';
/**
* 获取初始化聊天内容
*/
export const getInitChatSiteInfo = (chatId: string, windowId: string = '') =>
GET<{
windowId: string;
chatSite: ChatSiteType;
history: ChatItemType[];
}>(`/chat/init?chatId=${chatId}&windowId=${windowId}`);
export const getInitChatSiteInfo = (modelId: string, chatId: '' | string) =>
GET<InitChatResponse>(`/chat/init?modelId=${modelId}&chatId=${chatId}`);
/**
* 发送 GPT3 prompt
* 获取历史记录
*/
export const postGPT3SendPrompt = ({
chatId,
prompt
}: {
prompt: ChatSiteItemType[];
chatId: string;
}) =>
POST<string>(`/chat/gpt3`, {
chatId,
prompt: prompt.map((item) => ({
obj: item.obj,
value: item.value
}))
});
export const getChatHistory = () =>
GET<{ _id: string; title: string; modelId: string }[]>('/chat/getHistory');
/**
* 预发 prompt 进行存储
* 删除一条历史记录
*/
export const postChatGptPrompt = ({
prompt,
windowId,
chatId
}: {
prompt: ChatSiteItemType;
windowId: string;
chatId: string;
}) =>
POST<string>(`/chat/preChat`, {
windowId,
prompt: {
obj: prompt.obj,
value: prompt.value
},
chatId
});
/* 获取 Chat 的 Event 对象,进行持续通信 */
export const getChatGPTSendEvent = (chatId: string, windowId: string) =>
new EventSource(`/api/chat/chatGpt?chatId=${chatId}&windowId=${windowId}`);
export const delChatHistoryById = (id: string) => GET(`/chat/removeHistory?id=${id}`);
/**
* 删除最后一句
* 存储一轮对话
*/
export const delLastMessage = (windowId?: string) =>
windowId ? DELETE(`/chat/delLastMessage?windowId=${windowId}`) : null;
export const postSaveChat = (data: {
modelId: string;
chatId: '' | string;
prompts: ChatItemType[];
}) => POST<string>('/chat/saveChat', data);
/**
* 删除一句对话
*/
export const delChatRecordByIndex = (chatId: string, contentId: string) =>
DELETE(`/chat/delChatRecordByContentId?chatId=${chatId}&contentId=${contentId}`);

1
src/api/common.ts Normal file
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@@ -0,0 +1 @@
import { GET, POST, DELETE } from './request';

67
src/api/fetch.ts Normal file
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@@ -0,0 +1,67 @@
import { getToken } from '../utils/user';
import { SYSTEM_PROMPT_PREFIX } from '@/constants/chat';
interface StreamFetchProps {
url: string;
data: any;
onMessage: (text: string) => void;
abortSignal: AbortController;
}
export const streamFetch = ({ url, data, onMessage, abortSignal }: StreamFetchProps) =>
new Promise<{ responseText: string; systemPrompt: string }>(async (resolve, reject) => {
try {
const res = await fetch(url, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
Authorization: getToken() || ''
},
body: JSON.stringify(data),
signal: abortSignal.signal
});
const reader = res.body?.getReader();
if (!reader) return;
const decoder = new TextDecoder();
let responseText = '';
let systemPrompt = '';
const read = async () => {
try {
const { done, value } = await reader?.read();
if (done) {
if (res.status === 200) {
resolve({ responseText, systemPrompt });
} else {
const parseError = JSON.parse(responseText);
reject(parseError?.message || '请求异常');
}
return;
}
let text = decoder.decode(value).replace(/<br\/>/g, '\n');
// check system prompt
if (text.includes(SYSTEM_PROMPT_PREFIX)) {
const arr = text.split(SYSTEM_PROMPT_PREFIX);
systemPrompt = arr.pop() || '';
text = arr.join('');
}
responseText += text;
onMessage(text);
read();
} catch (err: any) {
if (err?.message === 'The user aborted a request.') {
return resolve({ responseText, systemPrompt });
}
reject(typeof err === 'string' ? err : err?.message || '请求异常');
}
};
read();
} catch (err: any) {
console.log(err, '====');
reject(typeof err === 'string' ? err : err?.message || '请求异常');
}
});

View File

@@ -1,28 +1,110 @@
import { GET, POST, DELETE, PUT } from './request';
import type { ModelType } from '@/types/model';
import { ModelUpdateParams } from '@/types/model';
import { TrainingItemType } from '../types/training';
import type { ModelSchema, ModelDataSchema } from '@/types/mongoSchema';
import { ModelUpdateParams, ShareModelItem } from '@/types/model';
import { RequestPaging } from '../types/index';
import { Obj2Query } from '@/utils/tools';
export const getMyModels = () => GET<ModelType[]>('/model/list');
/**
* 获取模型列表
*/
export const getMyModels = () => GET<ModelSchema[]>('/model/list');
export const postCreateModel = (data: { name: string; serviceModelName: string }) =>
POST<ModelType>('/model/create', data);
/**
* 创建一个模型
*/
export const postCreateModel = (data: { name: string }) => POST<string>('/model/create', data);
/**
* 根据 ID 删除模型
*/
export const delModelById = (id: string) => DELETE(`/model/del?modelId=${id}`);
export const getModelById = (id: string) => GET<ModelType>(`/model/detail?modelId=${id}`);
/**
* 根据 ID 获取模型
*/
export const getModelById = (id: string) => GET<ModelSchema>(`/model/detail?modelId=${id}`);
/**
* 根据 ID 更新模型
*/
export const putModelById = (id: string, data: ModelUpdateParams) =>
PUT(`/model/update?modelId=${id}`, data);
export const postTrainModel = (id: string, form: FormData) =>
POST(`/model/train?modelId=${id}`, form, {
headers: {
'content-type': 'multipart/form-data'
}
});
/* 模型 data */
type GetModelDataListProps = RequestPaging & {
modelId: string;
searchText: string;
};
/**
* 获取模型的知识库数据
*/
export const getModelDataList = (props: GetModelDataListProps) =>
GET(`/model/data/getModelData?${Obj2Query(props)}`);
export const putModelTrainingStatus = (id: string) => PUT(`/model/putTrainStatus?modelId=${id}`);
/**
* 获取导出数据(不分页)
*/
export const getExportDataList = (modelId: string) =>
GET<[string, string][]>(`/model/data/exportModelData?modelId=${modelId}`);
export const getModelTrainings = (id: string) =>
GET<TrainingItemType[]>(`/model/getTrainings?modelId=${id}`);
/**
* 获取模型正在拆分数据的数量
*/
export const getModelSplitDataListLen = (modelId: string) =>
GET<number>(`/model/data/getSplitData?modelId=${modelId}`);
/**
* 获取 web 页面内容
*/
export const getWebContent = (url: string) => POST<string>(`/model/data/fetchingUrlData`, { url });
/**
* 手动输入数据
*/
export const postModelDataInput = (data: {
modelId: string;
data: { a: ModelDataSchema['a']; q: ModelDataSchema['q'] }[];
}) => POST<number>(`/model/data/pushModelDataInput`, data);
/**
* 拆分数据
*/
export const postModelDataSplitData = (data: {
modelId: string;
chunks: string[];
prompt: string;
mode: 'qa' | 'subsection';
}) => POST(`/model/data/splitData`, data);
/**
* json导入数据
*/
export const postModelDataCsvData = (modelId: string, data: string[][]) =>
POST<number>(`/model/data/pushModelDataCsv`, { modelId, data: data });
/**
* 更新模型数据
*/
export const putModelDataById = (data: { dataId: string; a: string; q?: string }) =>
PUT('/model/data/putModelData', data);
/**
* 删除一条模型数据
*/
export const delOneModelData = (dataId: string) =>
DELETE(`/model/data/delModelDataById?dataId=${dataId}`);
/* 共享市场 */
/**
* 获取共享市场模型
*/
export const getShareModelList = (data: { searchText?: string } & RequestPaging) =>
POST(`/model/share/getModels`, data);
/**
* 获取收藏的模型
*/
export const getCollectionModels = () => GET<ShareModelItem[]>(`/model/share/getCollection`);
/**
* 收藏/取消收藏模型
*/
export const triggerModelCollection = (modelId: string) =>
POST<number>(`/model/share/collection?modelId=${modelId}`);

16
src/api/openapi.ts Normal file
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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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@@ -1,6 +1,6 @@
import axios, { Method, InternalAxiosRequestConfig, AxiosResponse } from 'axios';
import { getToken, clearToken } from '@/utils/user';
import { TOKEN_ERROR_CODE } from '@/constants/responseCode';
import { TOKEN_ERROR_CODE } from '@/service/errorCode';
interface ConfigType {
headers?: { [key: string]: string };
@@ -34,10 +34,10 @@ function responseSuccess(response: AxiosResponse<ResponseDataType>) {
*/
function checkRes(data: ResponseDataType) {
if (data === undefined) {
console.log(data, 'data is empty');
console.log('error->', data, 'data is empty');
return Promise.reject('服务器异常');
} else if (data.code < 200 || data.code >= 400) {
return Promise.reject(data.message);
return Promise.reject(data);
}
return data.data;
}
@@ -46,24 +46,23 @@ function checkRes(data: ResponseDataType) {
* 响应错误
*/
function responseError(err: any) {
console.error('请求错误', err);
console.log('error->', '请求错误', err);
if (!err) {
return Promise.reject('未知错误');
return Promise.reject({ message: '未知错误' });
}
if (typeof err === 'string') {
return Promise.reject(err);
return Promise.reject({ message: err });
}
if (err.response) {
// 有报错响应
const res = err.response;
/* token过期,判断请求token与本地是否相同若不同需要重发 */
if (res.data.code in TOKEN_ERROR_CODE) {
clearToken();
return Promise.reject('token过期重新登录');
return Promise.reject({ message: 'token过期重新登录' });
}
}
return Promise.reject('未知错误');
return Promise.reject(err);
}
/* 创建请求实例 */

12
src/api/response/chat.d.ts vendored Normal file
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import type { ChatPopulate, ModelSchema } from '@/types/mongoSchema';
import type { ChatItemType } from '@/types/chat';
export type InitChatResponse = {
chatId: string;
modelId: string;
name: string;
avatar: string;
intro: string;
chatModel: ModelSchema['chat']['chatModel']; // 对话模型名
history: ChatItemType[];
};

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@@ -1,5 +1,13 @@
import type { UserType } from '@/types/user';
import type { PromotionRecordSchema } from '@/types/mongoSchema';
export interface ResLogin {
token: string;
user: UserType;
}
export interface PromotionRecordType {
_id: PromotionRecordSchema['_id'];
type: PromotionRecordSchema['type'];
createTime: PromotionRecordSchema['createTime'];
amount: PromotionRecordSchema['amount'];
}

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@@ -1,48 +1,87 @@
import { GET, POST, PUT } from './request';
import { createHashPassword } from '@/utils/tools';
import { ResLogin } from './response/user';
import { EmailTypeEnum } from '@/constants/common';
import { createHashPassword, Obj2Query } from '@/utils/tools';
import { ResLogin, PromotionRecordType } from './response/user';
import { UserAuthTypeEnum } from '@/constants/common';
import { UserType, UserUpdateParams } from '@/types/user';
import type { PagingData, RequestPaging } from '@/types';
import { BillSchema, PaySchema } from '@/types/mongoSchema';
import { adaptBill } from '@/utils/adapt';
export const sendCodeToEmail = ({ email, type }: { email: string; type: `${EmailTypeEnum}` }) =>
GET('/user/sendEmail', { email, type });
export const sendAuthCode = ({
username,
type
}: {
username: string;
type: `${UserAuthTypeEnum}`;
}) => GET('/user/sendAuthCode', { username, type });
export const getTokenLogin = () => GET<UserType>('/user/tokenLogin');
/* get promotion init data */
export const getPromotionInitData = () =>
GET<{
invitedAmount: number;
historyAmount: number;
residueAmount: number;
}>('/user/promotion/getPromotionData');
export const postRegister = ({
email,
username,
password,
code
code,
inviterId
}: {
email: string;
username: string;
code: string;
password: string;
inviterId: string;
}) =>
POST<ResLogin>('/user/register', {
email,
username,
code,
inviterId,
password: createHashPassword(password)
});
export const postFindPassword = ({
email,
username,
code,
password
}: {
email: string;
username: string;
code: string;
password: string;
}) =>
POST<ResLogin>('/user/updatePasswordByCode', {
email,
username,
code,
password: createHashPassword(password)
});
export const postLogin = ({ email, password }: { email: string; password: string }) =>
export const postLogin = ({ username, password }: { username: string; password: string }) =>
POST<ResLogin>('/user/loginByPassword', {
email,
username,
password: createHashPassword(password)
});
export const putUserInfo = (data: UserUpdateParams) => PUT('/user/update', data);
export const getUserBills = (data: RequestPaging) =>
GET<PagingData<BillSchema>>(`/user/getBill?${Obj2Query(data)}`).then((res) => ({
...res,
data: res.data.map((bill) => adaptBill(bill))
}));
export const getPayOrders = () => GET<PaySchema[]>(`/user/getPayOrders`);
export const getPayCode = (amount: number) =>
GET<{
codeUrl: string;
payId: string;
}>(`/user/getPayCode?amount=${amount}`);
export const checkPayResult = (payId: string) => GET<number>(`/user/checkPayResult?payId=${payId}`);
/* promotion records */
export const getPromotionRecords = (data: RequestPaging) =>
GET<PromotionRecordType>(`/user/promotion/getPromotions?${Obj2Query(data)}`);

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View File

@@ -1,23 +1,44 @@
type TIconfont = {
name: string;
color?: string;
width?: number | string;
height?: number | string;
className?: string;
import React from 'react';
import type { IconProps } from '@chakra-ui/react';
import { Icon } from '@chakra-ui/react';
const map = {
model: require('./icons/model.svg').default,
share: require('./icons/share.svg').default,
home: require('./icons/home.svg').default,
menu: require('./icons/menu.svg').default,
pay: require('./icons/pay.svg').default,
copy: require('./icons/copy.svg').default,
chatSend: require('./icons/chatSend.svg').default,
board: require('./icons/board.svg').default,
develop: require('./icons/develop.svg').default,
user: require('./icons/user.svg').default,
promotion: require('./icons/promotion.svg').default,
delete: require('./icons/delete.svg').default,
withdraw: require('./icons/withdraw.svg').default,
dbModel: require('./icons/dbModel.svg').default,
history: require('./icons/history.svg').default,
stop: require('./icons/stop.svg').default,
shareMarket: require('./icons/shareMarket.svg').default,
collectionLight: require('./icons/collectionLight.svg').default,
collectionSolid: require('./icons/collectionSolid.svg').default,
export: require('./icons/export.svg').default
};
function Icon({ name, color = 'inherit', width = 16, height = 16, className = '' }: TIconfont) {
const style = {
fill: color,
width,
height
};
export type IconName = keyof typeof map;
return (
<svg className={`icon ${className}`} aria-hidden="true" style={style}>
<use xlinkHref={`#${name}`}></use>
</svg>
);
}
const MyIcon = ({ name, w = 'auto', h = 'auto', ...props }: { name: IconName } & IconProps) => {
return map[name] ? (
<Icon
as={map[name]}
w={w}
h={h}
boxSizing={'content-box'}
verticalAlign={'top'}
fill={'currentcolor'}
{...props}
/>
) : null;
};
export default Icon;
export default MyIcon;

View File

@@ -0,0 +1,23 @@
type TIconfont = {
name: string;
color?: string;
width?: number | string;
height?: number | string;
className?: string;
};
function Iconfont({ name, color = 'inherit', width = 16, height = 16, className = '' }: TIconfont) {
const style = {
fill: color,
width,
height
};
return (
<svg className={`icon ${className}`} aria-hidden="true" style={style}>
<use xlinkHref={`#${name}`}></use>
</svg>
);
}
export default Iconfont;

View File

@@ -1,7 +1,6 @@
import React from 'react';
import { useRouter } from 'next/router';
import { useToast } from '@chakra-ui/react';
import { getTokenLogin } from '@/api/user';
import { useUserStore } from '@/store/user';
import { useGlobalStore } from '@/store/global';
import { useQuery } from '@tanstack/react-query';
@@ -9,7 +8,7 @@ import { useQuery } from '@tanstack/react-query';
const unAuthPage: { [key: string]: boolean } = {
'/': true,
'/login': true,
'/chat': true
'/model/share': true
};
const Auth = ({ children }: { children: JSX.Element }) => {
@@ -19,7 +18,7 @@ const Auth = ({ children }: { children: JSX.Element }) => {
position: 'top',
status: 'warning'
});
const { userInfo, setUserInfo } = useUserStore();
const { userInfo, initUserInfo } = useUserStore();
const { setLoading } = useGlobalStore();
useQuery(
@@ -29,18 +28,15 @@ const Auth = ({ children }: { children: JSX.Element }) => {
return setLoading(false);
} else {
setLoading(true);
return getTokenLogin();
return initUserInfo();
}
},
{
onSuccess(user) {
if (user) {
setUserInfo(user);
}
},
onError(error) {
console.log(error);
router.push('/login');
console.log('error->', error);
router.replace(
`/login?lastRoute=${encodeURIComponent(location.pathname + location.search)}`
);
toast();
},
onSettled() {

View File

@@ -1,5 +1,5 @@
import React from 'react';
import { Box } from '@chakra-ui/react';
import React, { useEffect } from 'react';
import { Box, useColorMode, Flex } from '@chakra-ui/react';
import Navbar from './navbar';
import NavbarPhone from './navbarPhone';
import { useRouter } from 'next/router';
@@ -16,36 +16,56 @@ const unShowLayoutRoute: { [key: string]: boolean } = {
const navbarList = [
{
label: '介绍',
icon: 'icon-gongzuotai-01',
icon: 'board',
link: '/',
activeLink: ['/']
},
{
label: '共享',
icon: 'shareMarket',
link: '/model/share',
activeLink: ['/model/share']
},
{
label: '模型',
icon: 'icon-moxing',
icon: 'model',
link: '/model/list',
activeLink: ['/model/list', '/model/detail']
},
// {
// label: '数据',
// icon: 'icon-datafull',
// link: '/training/dataList',
// activeLink: ['/training/dataList']
// },
{
label: '账号',
icon: 'icon-yonghu-yuan',
icon: 'user',
link: '/number/setting',
activeLink: ['/number/setting']
},
{
label: '邀请',
icon: 'promotion',
link: '/promotion',
activeLink: ['/promotion']
},
{
label: '开发',
icon: 'develop',
link: '/openapi',
activeLink: ['/openapi']
}
];
const Layout = ({ children }: { children: JSX.Element }) => {
const { isPc } = useScreen();
const router = useRouter();
const { colorMode, setColorMode } = useColorMode();
const { Loading } = useLoading({ defaultLoading: true });
const { loading } = useGlobalStore();
useEffect(() => {
if (colorMode === 'dark' && router.pathname !== '/chat') {
setColorMode('light');
}
}, [colorMode, router.pathname, setColorMode]);
return (
<>
{!unShowLayoutRoute[router.pathname] ? (
@@ -55,29 +75,21 @@ const Layout = ({ children }: { children: JSX.Element }) => {
<Box h={'100%'} position={'fixed'} left={0} top={0} w={'80px'}>
<Navbar navbarList={navbarList} />
</Box>
<Box ml={'80px'} p={7}>
<Box maxW={'1100px'} m={'auto'}>
<Box h={'100%'} ml={'80px'}>
<Box h={'100%'} py={7} px={'5vw'} m={'auto'} overflowY={'auto'}>
<Auth>{children}</Auth>
</Box>
</Box>
</>
) : (
<Box pt={'60px'}>
<Box
h={'60px'}
position={'fixed'}
top={0}
left={0}
right={0}
zIndex={100}
borderBottom={'1px solid rgba(0,0,0,0.1)'}
>
<Flex h={'100%'} flexDirection={'column'}>
<Box h={'60px'} borderBottom={'1px solid rgba(0,0,0,0.1)'}>
<NavbarPhone navbarList={navbarList} />
</Box>
<Box py={3} px={4}>
<Box flex={'1 0 0'} h={0} py={3} px={4} overflowY={'auto'}>
<Auth>{children}</Auth>
</Box>
</Box>
</Flex>
)}
</Box>
) : (

View File

@@ -2,8 +2,7 @@ import React from 'react';
import { Box, Flex } from '@chakra-ui/react';
import Image from 'next/image';
import { useRouter } from 'next/router';
import Icon from '../Icon';
import MyIcon from '../Icon';
export enum NavbarTypeEnum {
normal = 'normal',
small = 'small'
@@ -34,7 +33,7 @@ const Navbar = ({
>
{/* logo */}
<Box pb={4}>
<Image src={'/logo.png'} width={'35'} height={'35'} alt=""></Image>
<Image src={'/icon/logo.png'} width={'35'} height={'35'} alt=""></Image>
</Box>
{/* 导航列表 */}
<Box flex={1}>
@@ -45,11 +44,12 @@ const Navbar = ({
flexDirection={'column'}
alignItems={'center'}
justifyContent={'center'}
onClick={() =>
onClick={() => {
if (item.link === router.pathname) return;
router.push(item.link, undefined, {
shallow: true
})
}
});
}}
cursor={'pointer'}
fontSize={'sm'}
w={'60px'}
@@ -65,20 +65,16 @@ const Navbar = ({
backgroundColor: 'transparent'
})}
>
<Icon
name={item.icon}
width={24}
height={24}
color={item.activeLink.includes(router.pathname) ? '#2B6CB0' : '#4A5568'}
<MyIcon
name={item.icon as any}
width={'24px'}
height={'24px'}
fill={item.activeLink.includes(router.pathname) ? '#2B6CB0' : '#4A5568'}
/>
<Box mt={1}>{item.label}</Box>
</Flex>
))}
</Box>
{/* 通知 icon */}
{/* <Flex className={styles.informIcon} mb={5} justifyContent={'center'}>
<Icon name={'icon-tongzhi'} width={28} height={28} color={'#718096'}></Icon>
</Flex> */}
</Flex>
);
};

View File

@@ -1,6 +1,6 @@
import React from 'react';
import { useRouter } from 'next/router';
import Icon from '../Icon';
import MyIcon from '../Icon';
import {
Flex,
Drawer,
@@ -39,16 +39,15 @@ const NavbarPhone = ({
px={7}
>
<Box onClick={onOpen}>
<Icon name="icon-caidan" width={20} height={20}></Icon>
<MyIcon name="menu" width={'20px'} height={'20px'} color={'blackAlpha.600'}></MyIcon>
</Box>
{/* <Icon name="icon-tongzhi" width={20} height={20}></Icon> */}
</Flex>
<Drawer isOpen={isOpen} placement="left" size={'xs'} onClose={onClose}>
<DrawerOverlay />
<DrawerContent maxWidth={'50vw'}>
<DrawerBody p={4}>
<Box py={4}>
<Image src={'/logo.png'} margin={'auto'} w={'35'} h={'35'} alt=""></Image>
<Image src={'/icon/logo.png'} margin={'auto'} w={'35'} h={'35'} alt=""></Image>
</Box>
{navbarList.map((item) => (
<Flex
@@ -57,6 +56,7 @@ const NavbarPhone = ({
alignItems={'center'}
justifyContent={'center'}
onClick={() => {
if (item.link === router.pathname) return;
router.push(item.link);
onClose();
}}
@@ -73,11 +73,11 @@ const NavbarPhone = ({
backgroundColor: 'transparent'
})}
>
<Icon
name={item.icon}
width={24}
height={24}
color={item.activeLink.includes(router.pathname) ? '#2B6CB0' : '#4A5568'}
<MyIcon
name={item.icon as any}
width={'24px'}
height={'24px'}
fill={item.activeLink.includes(router.pathname) ? '#2B6CB0' : '#4A5568'}
/>
<Box ml={5}>{item.label}</Box>
</Flex>

View File

@@ -1,5 +1,43 @@
import React from 'react';
export const codeLight: { [key: string]: React.CSSProperties } = {
'code[class*=language-]': {
color: '#d4d4d4',
textShadow: 'none',
direction: 'ltr',
textAlign: 'left',
whiteSpace: 'pre',
wordSpacing: 'normal',
wordBreak: 'normal',
lineHeight: '1.5',
MozTabSize: '4',
OTabSize: '4',
tabSize: '4',
WebkitHyphens: 'none',
MozHyphens: 'none',
msHyphens: 'none',
hyphens: 'none'
},
'pre[class*=language-]': {
color: '#d4d4d4',
textShadow: 'none',
direction: 'ltr',
textAlign: 'left',
whiteSpace: 'pre',
wordSpacing: 'normal',
wordBreak: 'normal',
lineHeight: '1.5',
MozTabSize: '4',
OTabSize: '4',
tabSize: '4',
WebkitHyphens: 'none',
MozHyphens: 'none',
msHyphens: 'none',
hyphens: 'none',
padding: '1em',
margin: '.5em 0',
overflow: 'auto',
background: '#1e1e1e'
},
'code[class*=language-] ::selection': {
textShadow: 'none',
background: '#264f78'

View File

@@ -4,17 +4,17 @@
width: 4px;
height: 14px;
transform: translate(4px, 2px) scaleY(1.3);
background-color: rgba(0, 0, 0, 0.7);
background-color: var(--chakra-colors-chakra-body-text);
animation: blink 0.6s infinite;
}
.animation {
:last-child::after {
> :last-child::after {
display: inline-block;
content: '';
width: 4px;
height: 14px;
transform: translate(4px, 2px) scaleY(1.3);
background-color: rgba(0, 0, 0, 0.7);
background-color: var(--chakra-colors-chakra-body-text);
animation: blink 0.6s infinite;
}
}
@@ -55,7 +55,7 @@
.markdown h6 {
cursor: text;
font-weight: bold;
margin: 20px 0 10px;
margin: 10px 0;
padding: 0;
position: relative;
}
@@ -65,7 +65,6 @@
.markdown h4 .mini-icon-link,
.markdown h5 .mini-icon-link,
.markdown h6 .mini-icon-link {
color: #000000;
display: none;
}
.markdown h1:hover a.anchor,
@@ -103,12 +102,9 @@
font-size: inherit;
}
.markdown h1 {
color: #000000;
font-size: 28px;
}
.markdown h2 {
border-bottom: 1px solid #cccccc;
color: #000000;
font-size: 24px;
}
.markdown h3 {
@@ -121,8 +117,7 @@
font-size: 14px;
}
.markdown h6 {
color: #777777;
font-size: 14px;
font-size: 12px;
}
.markdown p,
.markdown blockquote,
@@ -131,15 +126,7 @@
.markdown dl,
.markdown table,
.markdown pre {
margin: 15px 0;
}
.markdown hr {
background: url('https://a248.e.akamai.net/assets.github.com/assets/primer/markdown/dirty-shade-350cca8f57223ebd53603021b2e670f4f319f1b7.png')
repeat-x scroll 0 0 transparent;
border: 0 none;
color: #cccccc;
height: 4px;
padding: 0;
margin: 10px 0;
}
.markdown > h2:first-child,
.markdown > h1:first-child,
@@ -173,7 +160,7 @@
}
.markdown ul,
.markdown ol {
padding-left: 30px;
padding-left: 2em;
}
.markdown ul.no-list,
.markdown ol.no-list {
@@ -235,12 +222,10 @@
}
.markdown table th,
.markdown table td {
border: 1px solid #cccccc;
padding: 6px 13px;
}
.markdown table tr {
background-color: #ffffff;
border-top: 1px solid #cccccc;
}
.markdown table tr:nth-child(2n) {
background-color: #f0f0f0;
@@ -324,12 +309,10 @@
}
.markdown code,
.markdown tt {
background-color: #f0f0f0;
border: 1px solid #eaeaea;
border-radius: 3px 3px 3px 3px;
margin: 0 2px;
padding: 0 5px;
white-space: nowrap;
}
.markdown pre > code {
background: none repeat scroll 0 0 transparent;
@@ -340,10 +323,9 @@
}
.markdown .highlight pre,
.markdown pre {
background-color: #f0f0f0;
border: 1px solid #cccccc;
border-radius: 3px 3px 3px 3px;
font-size: 13px;
font-size: max(0.9em, 14px);
line-height: 19px;
overflow: auto;
padding: 6px 10px;
@@ -354,10 +336,15 @@
border: medium none;
}
.markdown {
font-size: 14px;
line-height: 1.6;
letter-spacing: 0.5px;
text-align: justify;
overflow-y: hidden;
tab-size: 4;
word-spacing: normal;
word-break: break-all;
p {
white-space: pre-line;
}
pre {
display: block;
@@ -368,12 +355,61 @@
border-radius: 0;
background-color: #222 !important;
overflow-x: auto;
color: #fff;
}
pre code {
background-color: #222;
color: #fff;
background-color: #222 !important;
width: 100%;
font-family: 'Söhne,ui-sans-serif,system-ui,-apple-system,Segoe UI,Roboto,Ubuntu,Cantarell,Noto Sans,sans-serif,Helvetica Neue,Arial,Apple Color Emoji,Segoe UI Emoji,Segoe UI Symbol,Noto Color Emoji';
}
a {
text-decoration: underline;
color: var(--chakra-colors-blue-600);
}
table {
border-collapse: separate;
border-spacing: 0px;
color: var(--chakra-colors-gray-700);
thead tr:first-child th {
border-bottom-width: 1px;
border-left-width: 1px;
border-top-width: 1px;
border-color: #ccc;
background-color: rgba(236, 236, 241, 0.2);
overflow: hidden;
&:first-child {
border-top-left-radius: 0.375rem;
}
&:last-child {
border-right-width: 1px;
border-top-right-radius: 0.375rem;
}
}
td {
border-bottom-width: 1px;
border-left-width: 1px;
border-color: #ccc;
&:last-of-type {
border-right-width: 1px;
}
}
tbody tr:last-child {
overflow: hidden;
td {
&:first-child {
border-bottom-left-radius: 0.375rem;
}
&:last-child {
border-bottom-right-radius: 0.375rem;
}
}
}
}
}

View File

@@ -1,41 +1,47 @@
import React, { memo } from 'react';
import ReactMarkdown from 'react-markdown';
import remarkGfm from 'remark-gfm';
import styles from './index.module.scss';
import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter';
import { codeLight } from './codeLight';
import { Box, Flex } from '@chakra-ui/react';
import { Box, Flex, useColorModeValue } from '@chakra-ui/react';
import { useCopyData } from '@/utils/tools';
import Icon from '@/components/Icon';
import remarkGfm from 'remark-gfm';
import remarkMath from 'remark-math';
import rehypeKatex from 'rehype-katex';
const Markdown = ({ source, isChatting }: { source: string; isChatting: boolean }) => {
// const formatSource = useMemo(() => source.replace(/\n/g, '\n'), [source]);
import 'katex/dist/katex.min.css';
import styles from './index.module.scss';
import { codeLight } from './codeLight';
const Markdown = ({ source, isChatting = false }: { source: string; isChatting?: boolean }) => {
const { copyData } = useCopyData();
// console.log(source);
return (
<ReactMarkdown
className={`${styles.markdown} ${
className={`markdown ${styles.markdown} ${
isChatting ? (source === '' ? styles.waitingAnimation : styles.animation) : ''
}`}
rehypePlugins={[remarkGfm]}
remarkPlugins={[remarkMath]}
rehypePlugins={[remarkGfm, rehypeKatex]}
components={{
pre: 'div',
code({ node, inline, className, children, ...props }) {
const match = /language-(\w+)/.exec(className || '');
const code = String(children).replace(/\n$/, '');
return !inline ? (
<Box my={3} borderRadius={'md'} overflow={'hidden'}>
const code = String(children);
return !inline || match ? (
<Box my={3} borderRadius={'md'} overflow={'hidden'} backgroundColor={'#222'}>
<Flex
className="code-header"
py={2}
px={5}
backgroundColor={'#323641'}
backgroundColor={useColorModeValue('#323641', 'gray.600')}
color={'#fff'}
fontSize={'sm'}
userSelect={'none'}
>
<Box flex={1}>{match?.[1]}</Box>
<Flex cursor={'pointer'} onClick={() => copyData(code)} alignItems={'center'}>
<Icon name={'icon-fuzhi'} width={15} height={15} color={'#fff'}></Icon>
<Icon name={'copy'} width={15} height={15} fill={'#fff'}></Icon>
<Box ml={1}></Box>
</Flex>
</Flex>
@@ -50,11 +56,12 @@ const Markdown = ({ source, isChatting }: { source: string; isChatting: boolean
</Box>
) : (
<code className={className} {...props}>
{children}
{code}
</code>
);
}
}}
linkTarget="_blank"
>
{source}
</ReactMarkdown>

View File

@@ -0,0 +1,52 @@
import React from 'react';
import { Stack, Box, Flex, useTheme } from '@chakra-ui/react';
import type { StackProps } from '@chakra-ui/react';
// @ts-ignore
interface Props extends StackProps {
list: { label: string; value: string | number }[];
value: string | number;
onChange: (e: string | number) => void;
}
const Radio = ({ list, value, onChange, ...props }: Props) => {
return (
<Stack {...props} spacing={5} direction={'row'}>
{list.map((item) => (
<Flex
key={item.value}
alignItems={'center'}
cursor={'pointer'}
userSelect={'none'}
_before={{
content: '""',
w: '16px',
h: '16px',
mr: 1,
borderRadius: '16px',
transition: '0.2s',
...(value === item.value
? {
border: '5px solid',
borderColor: 'blue.500'
}
: {
border: '2px solid',
borderColor: 'gray.200'
})
}}
_hover={{
_before: {
borderColor: 'blue.400'
}
}}
onClick={() => onChange(item.value)}
>
{item.label}
</Flex>
))}
</Stack>
);
};
export default Radio;

View File

@@ -0,0 +1,76 @@
import React, { useRef, useEffect, useMemo } from 'react';
import type { BoxProps } from '@chakra-ui/react';
import { Box } from '@chakra-ui/react';
import { throttle } from 'lodash';
import { useLoading } from '@/hooks/useLoading';
interface Props extends BoxProps {
nextPage: () => void;
isLoadAll: boolean;
requesting: boolean;
children: React.ReactNode;
initRequesting?: boolean;
}
const ScrollData = ({
children,
nextPage,
isLoadAll,
requesting,
initRequesting,
...props
}: Props) => {
const { Loading } = useLoading({ defaultLoading: true });
const elementRef = useRef<HTMLDivElement>(null);
const loadText = useMemo(() => {
if (requesting) return '请求中……';
if (isLoadAll) return '已加载全部';
return '点击加载更多';
}, [isLoadAll, requesting]);
useEffect(() => {
if (!elementRef.current) return;
const scrolling = throttle((e: Event) => {
const element = e.target as HTMLDivElement;
if (!element) return;
// 当前滚动位置
const scrollTop = element.scrollTop;
// 可视高度
const clientHeight = element.clientHeight;
// 内容总高度
const scrollHeight = element.scrollHeight;
// 判断是否滚动到底部
if (scrollTop + clientHeight + 100 >= scrollHeight) {
nextPage();
}
}, 100);
elementRef.current.addEventListener('scroll', scrolling);
return () => {
// eslint-disable-next-line react-hooks/exhaustive-deps
elementRef.current?.removeEventListener('scroll', scrolling);
};
}, [elementRef, nextPage]);
return (
<Box {...props} ref={elementRef} overflowY={'auto'} position={'relative'}>
{children}
<Box
mt={2}
fontSize={'xs'}
color={'blackAlpha.500'}
textAlign={'center'}
cursor={loadText === '点击加载更多' ? 'pointer' : 'default'}
onClick={() => {
if (loadText !== '点击加载更多') return;
nextPage();
}}
>
{loadText}
</Box>
{initRequesting && <Loading fixed={false} />}
</Box>
);
};
export default ScrollData;

View File

@@ -0,0 +1,82 @@
import React, { useMemo } from 'react';
import {
Slider,
SliderTrack,
SliderFilledTrack,
SliderThumb,
SliderMark,
Box
} from '@chakra-ui/react';
const MySlider = ({
markList,
setVal,
activeVal,
max = 100,
min = 0,
step = 1
}: {
markList: {
label: string | number;
value: number;
}[];
activeVal?: number;
setVal: (index: number) => void;
max?: number;
min?: number;
step?: number;
}) => {
const startEndPointStyle = {
content: '""',
borderRadius: '10px',
width: '10px',
height: '10px',
backgroundColor: '#ffffff',
border: '2px solid #D7DBE2',
position: 'absolute',
zIndex: 1,
top: 0,
transform: 'translateY(-3px)'
};
const value = useMemo(() => {
const index = markList.findIndex((item) => item.value === activeVal);
return index > -1 ? index : 0;
}, [activeVal, markList]);
return (
<Slider max={max} min={min} step={step} size={'lg'} value={value} onChange={setVal}>
{markList.map((item, i) => (
<SliderMark
key={item.value}
value={i}
mt={3}
fontSize={'sm'}
transform={'translateX(-50%)'}
{...(activeVal === item.value ? { color: 'blue.500', fontWeight: 'bold' } : {})}
>
<Box px={3} cursor={'pointer'}>
{item.label}
</Box>
</SliderMark>
))}
<SliderTrack
bg={'#EAEDF3'}
overflow={'visible'}
h={'4px'}
_before={{
...startEndPointStyle,
left: '-5px'
}}
_after={{
...startEndPointStyle,
right: '-5px'
}}
>
<SliderFilledTrack />
</SliderTrack>
<SliderThumb border={'2.5px solid'} borderColor={'blue.500'}></SliderThumb>
</Slider>
);
};
export default MySlider;

View File

@@ -0,0 +1,49 @@
import React from 'react';
import {
Box,
Button,
Modal,
ModalOverlay,
ModalContent,
ModalHeader,
ModalFooter,
ModalBody,
ModalCloseButton,
useColorModeValue
} from '@chakra-ui/react';
import Image from 'next/image';
const WxConcat = ({ onClose }: { onClose: () => void }) => {
return (
<Modal isOpen={true} onClose={onClose}>
<ModalOverlay />
<ModalContent color={useColorModeValue('blackAlpha.700', 'white')}>
<ModalHeader>wx交流群</ModalHeader>
<ModalCloseButton />
<ModalBody textAlign={'center'}>
<Image
style={{ margin: 'auto' }}
src={'/imgs/wx300.jpg'}
width={200}
height={200}
alt=""
/>
<Box mt={2}>
:
<Box as={'span'} userSelect={'all'}>
fastgpt123
</Box>
</Box>
</ModalBody>
<ModalFooter>
<Button variant={'outline'} onClick={onClose}>
</Button>
</ModalFooter>
</ModalContent>
</Modal>
);
};
export default WxConcat;

22
src/constants/chat.ts Normal file

File diff suppressed because one or more lines are too long

View File

@@ -1,43 +1,826 @@
export enum EmailTypeEnum {
export enum UserAuthTypeEnum {
register = 'register',
findPassword = 'findPassword'
}
export const introPage = `
## 欢迎使用 Doc GPT
export const PRICE_SCALE = 100000;
时间比较赶,介绍没来得及完善,先直接上怎么使用:
1. 使用邮箱注册账号。
2. 进入账号页面,添加关联账号,目前只有 openai 的账号可以添加,直接去 openai 官网,把 API Key 粘贴过来。
3. 进入模型页,创建一个模型,建议直接用 ChatGPT。
4. 在模型列表点击【对话】,即可使用 API 进行聊天。
export const htmlTemplate = `<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="viewport" content="width=device-width initial-scale=1.0" />
<title>FastGpt</title>
</head>
<style>
.markdown > :first-child {
margin-top: 0 !important;
}
.markdown > :last-child {
margin-bottom: 0 !important;
}
.markdown a.absent {
color: #cc0000;
}
.markdown a.anchor {
bottom: 0;
cursor: pointer;
display: block;
left: 0;
margin-left: -30px;
padding-left: 30px;
position: absolute;
top: 0;
}
.markdown h1,
.markdown h2,
.markdown h3,
.markdown h4,
.markdown h5,
.markdown h6 {
cursor: text;
font-weight: bold;
margin: 10px 0;
padding: 0;
position: relative;
}
.markdown h1 .mini-icon-link,
.markdown h2 .mini-icon-link,
.markdown h3 .mini-icon-link,
.markdown h4 .mini-icon-link,
.markdown h5 .mini-icon-link,
.markdown h6 .mini-icon-link {
display: none;
}
.markdown h1:hover a.anchor,
.markdown h2:hover a.anchor,
.markdown h3:hover a.anchor,
.markdown h4:hover a.anchor,
.markdown h5:hover a.anchor,
.markdown h6:hover a.anchor {
line-height: 1;
margin-left: -22px;
padding-left: 0;
text-decoration: none;
top: 15%;
}
.markdown h1:hover a.anchor .mini-icon-link,
.markdown h2:hover a.anchor .mini-icon-link,
.markdown h3:hover a.anchor .mini-icon-link,
.markdown h4:hover a.anchor .mini-icon-link,
.markdown h5:hover a.anchor .mini-icon-link,
.markdown h6:hover a.anchor .mini-icon-link {
display: inline-block;
}
.markdown h1 tt,
.markdown h1 code,
.markdown h2 tt,
.markdown h2 code,
.markdown h3 tt,
.markdown h3 code,
.markdown h4 tt,
.markdown h4 code,
.markdown h5 tt,
.markdown h5 code,
.markdown h6 tt,
.markdown h6 code {
font-size: inherit;
}
.markdown h1 {
font-size: 28px;
}
.markdown h2 {
font-size: 24px;
}
.markdown h3 {
font-size: 18px;
}
.markdown h4 {
font-size: 16px;
}
.markdown h5 {
font-size: 14px;
}
.markdown h6 {
font-size: 12px;
}
.markdown p,
.markdown blockquote,
.markdown ul,
.markdown ol,
.markdown dl,
.markdown table,
.markdown pre {
margin: 10px 0;
}
.markdown > h2:first-child,
.markdown > h1:first-child,
.markdown > h1:first-child + h2,
.markdown > h3:first-child,
.markdown > h4:first-child,
.markdown > h5:first-child,
.markdown > h6:first-child {
margin-top: 0;
padding-top: 0;
}
.markdown a:first-child,
.markdown > h1,
.markdown a:first-child,
.markdown > h2,
.markdown a:first-child,
.markdown > h3,
.markdown a:first-child,
.markdown > h4,
.markdown a:first-child,
.markdown > h5,
.markdown a:first-child,
.markdown > h6 {
margin-top: 0;
padding-top: 0;
}
.markdown h1 + p,
.markdown h2 + p,
.markdown h3 + p,
.markdown h4 + p,
.markdown h5 + p,
.markdown h6 + p {
margin-top: 0;
}
.markdown li p.first {
display: inline-block;
}
.markdown ul,
.markdown ol {
padding-left: 2em;
}
.markdown ul.no-list,
.markdown ol.no-list {
list-style-type: none;
padding: 0;
}
.markdown ul li > :first-child,
.markdown ol li > :first-child {
margin-top: 0;
}
.markdown ul ul,
.markdown ul ol,
.markdown ol ol,
.markdown ol ul {
margin-bottom: 0;
}
.markdown dl {
padding: 0;
}
.markdown dl dt {
font-size: 14px;
font-style: italic;
font-weight: bold;
margin: 15px 0 5px;
padding: 0;
}
.markdown dl dt:first-child {
padding: 0;
}
.markdown dl dt > :first-child {
margin-top: 0;
}
.markdown dl dt > :last-child {
margin-bottom: 0;
}
.markdown dl dd {
margin: 0 0 15px;
padding: 0 15px;
}
.markdown dl dd > *:first-child {
margin-top: 0;
}
.markdown dl dd > *last-child {
margin-bottom: none;
}
### 模型配置
.markdown blockquote {
border-left: solid 4px #dddddd;
color: #777777;
padding-left: 15px;
}
1. **提示语**:会在每个对话框的第一句自动加入,用于限定该模型的对话内容。
.markdown blockquote > * :first-child {
margin-top: 0;
}
.markdown blockquote > * :last-child {
margin-bottom: 0;
}
2. **单句最大长度**:每个聊天,单次输入内容的最大长度。
.markdown table th {
font-weight: bold;
}
.markdown table th,
.markdown table td {
padding: 6px 13px;
}
.markdown table tr {
background-color: #ffffff;
}
.markdown table tr:nth-child(2n) {
background-color: #f0f0f0;
}
.markdown img {
max-width: 100%;
}
.markdown span.frame {
display: block;
overflow: hidden;
}
.markdown span.frame > span {
border: 1px solid #dddddd;
display: block;
float: left;
margin: 13px 0 0;
overflow: hidden;
padding: 7px;
width: auto;
}
.markdown span.frame span img {
display: block;
float: left;
}
.markdown span.frame span span {
clear: both;
color: #333333;
display: block;
padding: 5px;
}
.markdown span.align-center {
clear: both;
display: block;
overflow: hidden;
text-align: center;
}
3. **上下文最大长度**每个聊天最多的轮数除以2建议设置为偶数。可以持续聊天但是旧的聊天内容会被截断AI 就不会知道被截取的内容。
例如上下文最大长度为6。在第 4 轮对话时,第一轮对话的内容不会被计入。
.markdown span.align-center > span {
display: block;
margin: 13px auto;
overflow: hidden;
}
4. **过期时间**:生成对话框后,这个对话框多久过期。
.markdown span.align-center span img {
margin: 0 auto;
text-align: center;
}
5. **聊天最大加载次数**:单个对话框最多被加载几次,设置为-1代表不限制正数代表只能加载 n 次,防止被盗刷。
.markdown span.align-right {
clear: both;
display: block;
overflow: hidden;
}
### 对话框介绍
.markdown span.align-right > span {
display: block;
margin: 13px auto;
overflow: hidden;
text-align: right;
}
1. 每个对话框以 windowId 作为标识。
2. 每次点击【对话】,都会生成新的对话框,无法回到旧的对话框。对话框内刷新,会恢复对话内容。
3. 直接分享对话框(网页)的链接给朋友,会共享同一个对话内容。但是!!!千万不要两个人同时用一个链接,会串味,还没解决这个问题。
4. 如果想分享一个纯的对话框,可以把链接里 windowId 参数去掉。例如:
.markdown span.align-right img {
margin: 0;
text-align: right;
}
* 当前网页链接http://docgpt.ahapocket.cn/chat?chatId=6402c9f64cb5d6283f764&windowId=6402c94cb5d6283f76fb49
* 分享链接应为http://docgpt.ahapocket.cn/chat?chatId=6402c9f64cb5d6283f764
.markdown span.float-left {
display: block;
float: left;
margin-right: 13px;
overflow: hidden;
}
### 其他问题
还有其他问题,可以加我 wx拉个交流群大家一起聊聊。
![](/imgs/erweima.jpg)
.markdown span.float-left > span {
margin: 13px auto;
}
.markdown span.float-right {
display: block;
float: right;
margin-left: 13px;
overflow: hidden;
}
.markdown span.float-right > span {
display: block;
margin: 13px auto;
overflow: hidden;
text-align: right;
}
.markdown code,
.markdown tt {
border: 1px solid #eaeaea;
border-radius: 3px;
margin: 0 2px;
padding: 0 5px;
}
.markdown pre > code {
background-color: transparent;
border: none;
margin: 0;
padding: 0;
white-space: pre;
}
.markdown .highlight pre,
.markdown pre {
border: 1px solid #ccc;
border-radius: 3px;
font-size: max(0.9em, 14px);
line-height: 19px;
overflow: auto;
padding: 6px 10px;
}
.markdown pre code,
.markdown pre tt {
background-color: #f8f8f8;
border: none;
}
.markdown {
text-align: justify;
overflow-y: hidden;
tab-size: 4;
word-spacing: normal;
word-break: break-all;
}
.markdown pre {
display: block;
width: 100%;
padding: 15px;
margin: 0;
border: none;
border-radius: none;
background-color: #222 !important;
overflow-x: auto;
color: #fff;
}
.markdown pre code {
background-color: #222 !important;
width: 100%;
}
.markdown a {
text-decoration: underline;
color: var(--chakra-colors-blue-600);
}
.markdown table {
border-collapse: separate;
border-spacing: 0;
color: #718096;
}
.markdown table thead tr:first-child th {
border-bottom-width: 1px;
border-left-width: 1px;
border-top-width: 1px;
border-color: #ccc;
background-color: #edf2f7;
overflow: hidden;
}
.markdown table thead tr:first-child th:first-child {
border-top-left-radius: 0.375rem;
}
.markdown table thead tr:first-child th:last-child {
border-right-width: 1px;
border-top-right-radius: 0.375rem;
}
.markdown td {
border-bottom-width: 1px;
border-left-width: 1px;
border-color: #ccc;
}
.markdown td:last-of-type {
border-right-width: 1px;
}
.markdown tbody tr:last-child {
overflow: hidden;
}
.markdown tbody tr:last-child td:first-child {
border-bottom-left-radius: 0.375rem;
}
.markdown tbody tr:last-child td:last-child {
border-bottom-right-radius: 0.375rem;
}
.markdown p {
text-align: justify;
white-space: pre-wrap;
}
code[class*='language-'] {
color: #d4d4d4;
text-shadow: none;
direction: ltr;
text-align: left;
white-space: pre;
word-spacing: normal;
word-break: normal;
line-height: 1.5;
-moz-tab-size: 4;
-o-tab-size: 4;
tab-size: 4;
-webkit-hyphens: none;
-moz-hyphens: none;
hyphens: none;
}
pre[class*='language-'] {
color: #d4d4d4;
text-shadow: none;
direction: ltr;
text-align: left;
white-space: pre;
word-spacing: normal;
word-break: normal;
line-height: 1.5;
-moz-tab-size: 4;
-o-tab-size: 4;
tab-size: 4;
-webkit-hyphens: none;
-moz-hyphens: none;
hyphens: none;
padding: 1em;
margin: 0.5em0;
overflow: auto;
background: #1e1e1e;
}
code[class*='language-'] ::selection,
code[class*='language-']::selection,
pre[class*='language-'] ::selection,
pre[class*='language-']::selection {
text-shadow: none;
background: #264f78;
}
:not(pre) > code[class*='language-'] {
padding: 0.1em 0.3em;
border-radius: 0.3em;
color: #db4c69;
background: #1e1e1e;
}
.namespace {
opacity: 0.7;
}
.doctype.doctype-tag {
color: #569cd6;
}
.doctype.name {
color: #9cdcfe;
}
comment {
color: #6a9955;
}
prolog {
color: #6a9955;
}
.language-html .language-css .token.punctuation,
.language-html .language-javascript .token.punctuation {
color: #d4d4d4;
}
punctuation {
color: #d4d4d4;
}
boolean {
color: #569cd6;
}
constant {
color: #9cdcfe;
}
inserted {
color: #b5cea8;
}
number {
color: #b5cea8;
}
property {
color: #9cdcfe;
}
symbol {
color: #b5cea8;
}
tag {
color: #569cd6;
}
unit {
color: #b5cea8;
}
attr-name {
color: #9cdcfe;
}
builtin {
color: #ce9178;
}
char {
color: #ce9178;
}
deleted {
color: #ce9178;
}
selector {
color: #d7ba7d;
}
string {
color: #ce9178;
}
.language-css .token.string.url {
text-decoration: underline;
}
entity {
color: #569cd6;
}
operator {
color: #d4d4d4;
}
operator.arrow {
color: #569cd6;
}
atrule {
color: #ce9178;
}
atrule.rule {
color: #c586c0;
}
atrule.url {
color: #9cdcfe;
}
atrule.url.function {
color: #dcdcaa;
}
atrule.url.punctuation {
color: #d4d4d4;
}
keyword {
color: #569cd6;
}
keyword.control-flow {
color: #c586c0;
}
keyword.module {
color: #c586c0;
}
function {
color: #dcdcaa;
}
function.maybe-class-name {
color: #dcdcaa;
}
regex {
color: #d16969;
}
important {
color: #569cd6;
}
italic {
font-style: italic;
}
class-name {
color: #4ec9b0;
}
maybe-class-name {
color: #4ec9b0;
}
console {
color: #9cdcfe;
}
parameter {
color: #9cdcfe;
}
interpolation {
color: #9cdcfe;
}
punctuation.interpolation-punctuation {
color: #569cd6;
}
exports.maybe-class-name {
color: #9cdcfe;
}
imports.maybe-class-name {
color: #9cdcfe;
}
variable {
color: #9cdcfe;
}
escape {
color: #d7ba7d;
}
tag.punctuation {
color: grey;
}
cdata {
color: grey;
}
attr-value {
color: #ce9178;
}
attr-value.punctuation {
color: #ce9178;
}
attr-value.punctuation.attr-equals {
color: #d4d4d4;
}
namespace {
color: #4ec9b0;
}
code[class*='language-javascript'],
code[class*='language-jsx'],
code[class*='language-tsx'],
code[class*='language-typescript'] {
color: #9cdcfe;
}
pre[class*='language-javascript'],
pre[class*='language-jsx'],
pre[class*='language-tsx'],
pre[class*='language-typescript'] {
color: #9cdcfe;
}
code[class*='language-css'] {
color: #ce9178;
}
pre[class*='language-css'] {
color: #ce9178;
}
code[class*='language-html'] {
color: #d4d4d4;
}
pre[class*='language-html'] {
color: #d4d4d4;
}
.language-regex .token.anchor {
color: #dcdcaa;
}
.language-html .token.punctuation {
color: grey;
}
pre[class*='language-'] > code[class*='language-'] {
position: relative;
z-index: 1;
}
.line-highlight.line-highlight {
background: #f7ebc6;
box-shadow: inset 5px 0 0 #f7d87c;
z-index: 0;
}
* {
box-sizing: border-box;
}
body,
h1,
h2,
h3,
h4,
hr,
p,
blockquote,
dl,
dt,
dd,
ul,
ol,
li,
pre,
form,
fieldset,
legend,
button,
input,
textarea,
th,
td,
svg {
margin: 0;
}
body,
html {
font-size: 16px;
background-color: #fff;
color: rgba(0, 0, 0, 0.64);
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Helvetica, Arial, sans-serif,
'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol';
}
pre,
code,
kbd,
samp {
font-family: SFMono-Regular, Menlo, Monaco, Consolas, monospace;
font-size: 1em;
}
::-webkit-scrollbar,
::-webkit-scrollbar {
width: 10px;
height: 10px;
}
::-webkit-scrollbar-track,
::-webkit-scrollbar-track {
background: transparent;
border-radius: 2px;
}
::-webkit-scrollbar-thumb,
::-webkit-scrollbar-thumb {
background: #bfbfbf;
border-radius: 10px;
}
::-webkit-scrollbar-thumb:hover,
::-webkit-scrollbar-thumb:hover {
background: #999;
}
</style>
<style>
.chat-item {
display: flex;
align-items: flex-start;
padding: 20px 16px;
border-bottom: 1px solid rgba(0, 0, 0, 0.1);
justify-content: center;
}
.chat-item img {
width: 30px;
max-height: 50px;
object-fit: contain;
margin-right: 10px;
}
.chat-item:nth-child(even) {
background-color: #f6f6f6;
}
.chat-item:nth-child(odd) {
background-color: #ffffff;
}
.markdown {
overflow-x: hidden;
max-width: 800px;
width: 100%;
}
@media (max-width: 900px) {
html {
font-size: 14px;
}
::-webkit-scrollbar,
::-webkit-scrollbar {
width: 2px;
height: 2px;
}
.chat-item img {
width: 20px;
max-height: 40px;
margin-right: 4px;
}
}
</style>
<body>{{CHAT_CONTENT}}</body>
</html>
`;

View File

@@ -1,31 +1,37 @@
export enum OpenAiModelEnum {
GPT35 = 'gpt-3.5-turbo',
GPT3 = 'text-davinci-003'
}
export const OpenAiList = [
{
name: 'chatGPT',
model: OpenAiModelEnum.GPT35,
trainName: 'turbo',
canTraining: false,
maxToken: 4060
},
{
name: 'GPT3',
model: OpenAiModelEnum.GPT3,
trainName: 'davinci',
canTraining: true,
maxToken: 4060
}
];
import type { ModelSchema } from '@/types/mongoSchema';
export enum TrainingStatusEnum {
pending = 'pending',
succeed = 'succeed',
errored = 'errored',
canceled = 'canceled'
export const embeddingModel = 'text-embedding-ada-002';
export type EmbeddingModelType = 'text-embedding-ada-002';
export enum OpenAiChatEnum {
'GPT35' = 'gpt-3.5-turbo',
'GPT4' = 'gpt-4',
'GPT432k' = 'gpt-4-32k'
}
export type ChatModelType = `${OpenAiChatEnum}`;
export const ChatModelMap = {
[OpenAiChatEnum.GPT35]: {
name: 'ChatGpt',
contextMaxToken: 4096,
maxTemperature: 1.5,
price: 3
},
[OpenAiChatEnum.GPT4]: {
name: 'Gpt4',
contextMaxToken: 8000,
maxTemperature: 1.5,
price: 30
},
[OpenAiChatEnum.GPT432k]: {
name: 'Gpt4-32k',
contextMaxToken: 32000,
maxTemperature: 1.5,
price: 30
}
};
export enum ModelStatusEnum {
running = 'running',
training = 'training',
@@ -51,3 +57,70 @@ export const formatModelStatus = {
text: '已关闭'
}
};
export enum ModelDataStatusEnum {
ready = 'ready',
waiting = 'waiting'
}
export const ModelDataStatusMap: Record<`${ModelDataStatusEnum}`, string> = {
ready: '训练完成',
waiting: '训练中'
};
/* 知识库搜索时的配置 */
// 搜索方式
export enum ModelVectorSearchModeEnum {
hightSimilarity = 'hightSimilarity', // 高相似度+禁止回复
lowSimilarity = 'lowSimilarity', // 低相似度
noContext = 'noContex' // 高相似度+无上下文回复
}
export const ModelVectorSearchModeMap: Record<
`${ModelVectorSearchModeEnum}`,
{
text: string;
similarity: number;
}
> = {
[ModelVectorSearchModeEnum.hightSimilarity]: {
text: '高相似度, 无匹配时拒绝回复',
similarity: 0.2
},
[ModelVectorSearchModeEnum.noContext]: {
text: '高相似度,无匹配时直接回复',
similarity: 0.2
},
[ModelVectorSearchModeEnum.lowSimilarity]: {
text: '低相似度匹配',
similarity: 0.8
}
};
export const defaultModel: ModelSchema = {
_id: 'modelId',
userId: 'userId',
name: '模型名称',
avatar: '/icon/logo.png',
status: ModelStatusEnum.pending,
updateTime: Date.now(),
chat: {
useKb: false,
searchMode: ModelVectorSearchModeEnum.hightSimilarity,
systemPrompt: '',
temperature: 0,
chatModel: OpenAiChatEnum.GPT35
},
share: {
isShare: false,
isShareDetail: false,
intro: '',
collection: 0
},
security: {
domain: ['*'],
contextMaxLen: 1,
contentMaxLen: 1,
expiredTime: 9999,
maxLoadAmount: 1
}
};

View File

@@ -1,20 +0,0 @@
export const ERROR_CODE: { [key: number]: string } = {
400: '请求失败',
401: '无权访问',
403: '紧张访问',
404: '请求不存在',
405: '请求方法错误',
406: '请求的格式错误',
410: '资源已删除',
422: '验证错误',
500: '服务器发生错误',
502: '网关错误',
503: '服务器暂时过载或维护',
504: '网关超时'
};
export const TOKEN_ERROR_CODE: { [key: number]: string } = {
506: '请先登录',
507: '请重新登录',
508: '登录已过期'
};

View File

@@ -20,30 +20,38 @@ const Button = defineStyleConfig({
baseStyle: {},
sizes: {
sm: {
fontSize: 'sm',
fontSize: 'xs',
px: 3,
py: 0,
fontWeight: 'normal',
height: '26px'
height: '26px',
lineHeight: '26px'
},
md: {
fontSize: 'md',
fontSize: 'sm',
px: 6,
py: 0,
height: '34px',
lineHeight: '34px',
fontWeight: 'normal'
},
lg: {
fontSize: 'lg',
fontSize: 'md',
px: 8,
py: 0,
height: '42px',
lineHeight: '42px',
fontWeight: 'normal'
}
},
variants: {
outline: {
borderWidth: '1.5px'
white: {
color: '#fff',
backgroundColor: 'transparent',
border: '1px solid #ffffff',
_hover: {
backgroundColor: 'rgba(255,255,255,0.1)'
}
}
},
defaultProps: {
@@ -58,17 +66,12 @@ export const theme = extendTheme({
global: {
'html, body': {
color: 'blackAlpha.800',
fontSize: '14px',
fontFamily:
'Söhne,ui-sans-serif,system-ui,-apple-system,Segoe UI,Roboto,Ubuntu,Cantarell,Noto Sans,sans-serif,Helvetica Neue,Arial,Apple Color Emoji,Segoe UI Emoji,Segoe UI Symbol,Noto Color Emoji',
height: '100%',
overflowY: 'auto'
maxHeight: '100vh',
overflowY: 'hidden'
}
}
},
fonts: {
body: 'system-ui, sans-serif'
},
fontSizes: {
xs: '0.8rem',
sm: '0.9rem',
@@ -84,6 +87,16 @@ export const theme = extendTheme({
'8xl': '6rem',
'9xl': '8rem'
},
fonts: {
body: '-apple-system,BlinkMacSystemFont,"Segoe UI",Helvetica,Arial,sans-serif,"Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol"'
},
breakpoints: {
sm: '900px',
md: '1200px',
lg: '1500px',
xl: '1800',
'2xl': '2100'
},
components: {
Modal: ModalTheme,
Button

View File

@@ -1,5 +1,34 @@
export enum BillTypeEnum {
chat = 'chat',
splitData = 'splitData',
QA = 'QA',
abstract = 'abstract',
vector = 'vector',
return = 'return'
}
export enum PageTypeEnum {
login = 'login',
register = 'register',
forgetPassword = 'forgetPassword'
}
export const BillTypeMap: Record<`${BillTypeEnum}`, string> = {
[BillTypeEnum.chat]: '对话',
[BillTypeEnum.splitData]: 'QA拆分',
[BillTypeEnum.QA]: 'QA拆分',
[BillTypeEnum.abstract]: '摘要总结',
[BillTypeEnum.vector]: '索引生成',
[BillTypeEnum.return]: '退款'
};
export enum PromotionEnum {
invite = 'invite',
shareModel = 'shareModel',
withdraw = 'withdraw'
}
export const PromotionTypeMap = {
[PromotionEnum.invite]: '好友充值',
[PromotionEnum.shareModel]: '模型分享',
[PromotionEnum.withdraw]: '提现'
};

View File

@@ -1,4 +1,4 @@
import { useState, useRef } from 'react';
import { useCallback, useRef } from 'react';
import {
AlertDialog,
AlertDialogBody,
@@ -17,45 +17,52 @@ export const useConfirm = ({ title = '提示', content }: { title?: string; cont
const cancelCb = useRef<any>();
return {
openConfirm: (confirm?: any, cancel?: any) => {
onOpen();
confirmCb.current = confirm;
cancelCb.current = cancel;
},
ConfirmChild: () => (
<AlertDialog isOpen={isOpen} leastDestructiveRef={cancelRef} onClose={onClose}>
<AlertDialogOverlay>
<AlertDialogContent>
<AlertDialogHeader fontSize="lg" fontWeight="bold">
{title}
</AlertDialogHeader>
openConfirm: useCallback(
(confirm?: any, cancel?: any) => {
confirmCb.current = confirm;
cancelCb.current = cancel;
<AlertDialogBody>{content}</AlertDialogBody>
return onOpen;
},
[onOpen]
),
ConfirmChild: useCallback(
() => (
<AlertDialog isOpen={isOpen} leastDestructiveRef={cancelRef} onClose={onClose}>
<AlertDialogOverlay>
<AlertDialogContent>
<AlertDialogHeader fontSize="lg" fontWeight="bold">
{title}
</AlertDialogHeader>
<AlertDialogFooter>
<Button
colorScheme={'gray'}
onClick={() => {
onClose();
typeof cancelCb.current === 'function' && cancelCb.current();
}}
>
</Button>
<Button
colorScheme="blue"
ml={3}
onClick={() => {
onClose();
typeof confirmCb.current === 'function' && confirmCb.current();
}}
>
</Button>
</AlertDialogFooter>
</AlertDialogContent>
</AlertDialogOverlay>
</AlertDialog>
<AlertDialogBody>{content}</AlertDialogBody>
<AlertDialogFooter>
<Button
colorScheme={'gray'}
onClick={() => {
onClose();
typeof cancelCb.current === 'function' && cancelCb.current();
}}
>
</Button>
<Button
colorScheme="blue"
ml={4}
onClick={() => {
onClose();
typeof confirmCb.current === 'function' && confirmCb.current();
}}
>
</Button>
</AlertDialogFooter>
</AlertDialogContent>
</AlertDialogOverlay>
</AlertDialog>
),
[content, isOpen, onClose, title]
)
};
};

View File

@@ -1,36 +1,33 @@
import { useState, memo } from 'react';
import { useState, useCallback } from 'react';
import { Spinner, Flex } from '@chakra-ui/react';
export const useLoading = (props?: { defaultLoading: boolean }) => {
const [isLoading, setIsLoading] = useState(props?.defaultLoading || false);
const Loading = ({
loading,
fixed = true
}: {
loading?: boolean;
fixed?: boolean;
}): JSX.Element | null => {
return isLoading || loading ? (
<Flex
position={fixed ? 'fixed' : 'absolute'}
zIndex={100}
backgroundColor={'rgba(255,255,255,0.5)'}
top={0}
left={0}
right={0}
bottom={0}
alignItems={'center'}
justifyContent={'center'}
>
<Spinner thickness="4px" speed="0.65s" emptyColor="gray.200" color="blue.500" size="xl" />
</Flex>
) : null;
};
const Loading = useCallback(
({ loading, fixed = true }: { loading?: boolean; fixed?: boolean }): JSX.Element | null => {
return isLoading || loading ? (
<Flex
position={fixed ? 'fixed' : 'absolute'}
zIndex={100}
backgroundColor={'rgba(255,255,255,0.5)'}
top={0}
left={0}
right={0}
bottom={0}
alignItems={'center'}
justifyContent={'center'}
>
<Spinner thickness="4px" speed="0.65s" emptyColor="gray.200" color="blue.500" size="xl" />
</Flex>
) : null;
},
[isLoading]
);
return {
isLoading,
setIsLoading,
Loading: memo(Loading)
Loading
};
};

15
src/hooks/useMarkdown.ts Normal file
View File

@@ -0,0 +1,15 @@
import { useQuery } from '@tanstack/react-query';
export const getMd = async (url: string) => {
const response = await fetch(`/docs/${url}`);
const textContent = await response.text();
return textContent;
};
export const useMarkdown = ({ url }: { url: string }) => {
const { data = '' } = useQuery([url], () => getMd(url));
return {
data
};
};

105
src/hooks/usePagination.tsx Normal file
View File

@@ -0,0 +1,105 @@
import { useState, useCallback, useMemo, useEffect } from 'react';
import type { PagingData } from '../types/index';
import { IconButton, Flex, Box, Input } from '@chakra-ui/react';
import { ArrowBackIcon, ArrowForwardIcon } from '@chakra-ui/icons';
import { useMutation } from '@tanstack/react-query';
import { useToast } from './useToast';
export const usePagination = <T = any,>({
api,
pageSize = 10,
params = {}
}: {
api: (data: any) => any;
pageSize?: number;
params?: Record<string, any>;
}) => {
const { toast } = useToast();
const [pageNum, setPageNum] = useState(1);
const [total, setTotal] = useState(0);
const [data, setData] = useState<T[]>([]);
const maxPage = useMemo(() => Math.ceil(total / pageSize) || 1, [pageSize, total]);
const { mutate, isLoading } = useMutation({
mutationFn: async (num: number = pageNum) => {
try {
const res: PagingData<T> = await api({
pageNum: num,
pageSize,
...params
});
setPageNum(num);
setTotal(res.total);
setData(res.data);
} catch (error: any) {
toast({
title: error?.message || '获取数据异常',
status: 'error'
});
console.log(error);
}
}
});
const Pagination = useCallback(() => {
return (
<Flex alignItems={'center'} justifyContent={'end'}>
<IconButton
isDisabled={pageNum === 1}
icon={<ArrowBackIcon />}
aria-label={'left'}
size={'sm'}
w={'28px'}
h={'28px'}
onClick={() => mutate(pageNum - 1)}
/>
<Flex mx={2} alignItems={'center'}>
<Input
defaultValue={pageNum}
w={'50px'}
size={'xs'}
type={'number'}
min={1}
max={maxPage}
onBlur={(e) => {
const val = +e.target.value;
if (val === pageNum) return;
if (val >= maxPage) {
mutate(maxPage);
} else if (val < 1) {
mutate(1);
} else {
mutate(+e.target.value);
}
}}
/>
<Box mx={2}>/</Box>
{maxPage}
</Flex>
<IconButton
isDisabled={pageNum === maxPage}
icon={<ArrowForwardIcon />}
aria-label={'left'}
size={'sm'}
w={'28px'}
h={'28px'}
onClick={() => mutate(pageNum + 1)}
/>
</Flex>
);
}, [maxPage, mutate, pageNum]);
useEffect(() => {
mutate(1);
}, []);
return {
pageNum,
pageSize,
total,
data,
isLoading,
Pagination,
getData: mutate
};
};

82
src/hooks/usePaging.ts Normal file
View File

@@ -0,0 +1,82 @@
import { useState, useCallback, useEffect } from 'react';
import type { PagingData } from '../types/index';
import { useToast } from './useToast';
export const usePaging = <T = any>({
api,
pageSize = 10,
params = {}
}: {
api: (data: any) => any;
pageSize?: number;
params?: Record<string, any>;
}) => {
const { toast } = useToast();
const [data, setData] = useState<T[]>([]);
const [pageNum, setPageNum] = useState(1);
const [total, setTotal] = useState(0);
const [isLoadAll, setIsLoadAll] = useState(false);
const [requesting, setRequesting] = useState(false);
const [initRequesting, setInitRequesting] = useState(false);
const getData = useCallback(
async (num: number, init = false) => {
if (requesting) return;
if (!init && isLoadAll) return;
if (init) {
setInitRequesting(true);
}
setRequesting(true);
try {
const res: PagingData<T> = await api({
pageNum: num,
pageSize,
...params
});
setData((state) => {
const data = init ? res.data : state.concat(res.data);
if (data.length >= res.total) {
setIsLoadAll(true);
}
setTotal(res.total);
setPageNum(num);
return data;
});
} catch (error: any) {
toast({
title: error?.message || '获取数据异常',
status: 'error'
});
console.log(error);
}
setRequesting(false);
setInitRequesting(false);
return null;
},
[api, isLoadAll, pageSize, params, requesting, toast]
);
const nextPage = useCallback(() => {
if (requesting || isLoadAll) return;
getData(pageNum + 1);
}, [getData, isLoadAll, pageNum, requesting]);
useEffect(() => {
getData(1, true);
}, []);
return {
pageNum,
pageSize,
total,
data,
getData,
requesting,
isLoadAll,
nextPage,
initRequesting,
setData
};
};

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