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11 Commits
v4.6.4
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v4.6.5-alp
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64
Dockerfile
@@ -1,57 +1,81 @@
|
||||
# Install dependencies only when needed
|
||||
FROM node:18.15-alpine AS deps
|
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# Check https://github.com/nodejs/docker-node/tree/b4117f9333da4138b03a546ec926ef50a31506c3#nodealpine to understand why libc6-compat might be needed.
|
||||
RUN apk add --no-cache libc6-compat && npm install -g pnpm
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# --------- install dependence -----------
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||||
FROM node:18.17-alpine AS mainDeps
|
||||
WORKDIR /app
|
||||
|
||||
ARG name
|
||||
ARG proxy
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||||
|
||||
RUN [ -z "$proxy" ] || sed -i 's/dl-cdn.alpinelinux.org/mirrors.ustc.edu.cn/g' /etc/apk/repositories
|
||||
RUN apk add --no-cache libc6-compat && npm install -g pnpm@8.6.0
|
||||
# if proxy exists, set proxy
|
||||
RUN [ -z "$proxy" ] || pnpm config set registry https://registry.npm.taobao.org
|
||||
|
||||
# copy packages and one project
|
||||
COPY package.json pnpm-lock.yaml pnpm-workspace.yaml ./
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||||
COPY pnpm-lock.yaml pnpm-workspace.yaml ./
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||||
COPY ./packages ./packages
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||||
COPY ./projects/$name/package.json ./projects/$name/package.json
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||||
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||||
RUN [ -f pnpm-lock.yaml ] || (echo "Lockfile not found." && exit 1)
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||||
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||||
RUN pnpm install
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RUN pnpm i
|
||||
|
||||
# Rebuild the source code only when needed
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FROM node:18.15-alpine AS builder
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||||
# --------- install dependence -----------
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||||
FROM node:18.17-alpine AS workerDeps
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||||
WORKDIR /app
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||||
ARG proxy
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||||
|
||||
RUN [ -z "$proxy" ] || sed -i 's/dl-cdn.alpinelinux.org/mirrors.ustc.edu.cn/g' /etc/apk/repositories
|
||||
RUN apk add --no-cache libc6-compat && npm install -g pnpm@8.6.0
|
||||
# if proxy exists, set proxy
|
||||
RUN [ -z "$proxy" ] || pnpm config set registry https://registry.npm.taobao.org
|
||||
|
||||
COPY ./worker /app/worker
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||||
RUN cd /app/worker && pnpm i --production --ignore-workspace
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||||
|
||||
# --------- builder -----------
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FROM node:18.17-alpine AS builder
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WORKDIR /app
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|
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ARG name
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ARG proxy
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# copy common node_modules and one project node_modules
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COPY package.json pnpm-workspace.yaml ./
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COPY --from=deps /app/node_modules ./node_modules
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COPY --from=deps /app/packages ./packages
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COPY --from=mainDeps /app/node_modules ./node_modules
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COPY --from=mainDeps /app/packages ./packages
|
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COPY ./projects/$name ./projects/$name
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COPY --from=deps /app/projects/$name/node_modules ./projects/$name/node_modules
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||||
COPY --from=mainDeps /app/projects/$name/node_modules ./projects/$name/node_modules
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||||
|
||||
# Uncomment the following line in case you want to disable telemetry during the build.
|
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ENV NEXT_TELEMETRY_DISABLED 1
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RUN npm install -g pnpm
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RUN pnpm --filter=$name run build
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||||
RUN [ -z "$proxy" ] || sed -i 's/dl-cdn.alpinelinux.org/mirrors.ustc.edu.cn/g' /etc/apk/repositories
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||||
|
||||
FROM node:18.15-alpine AS runner
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||||
RUN apk add --no-cache libc6-compat && npm install -g pnpm@8.6.0
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RUN pnpm --filter=$name build
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||||
|
||||
# --------- runner -----------
|
||||
FROM node:18.17-alpine AS runner
|
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WORKDIR /app
|
||||
|
||||
ARG name
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||||
ARG proxy
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|
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# create user and use it
|
||||
RUN addgroup --system --gid 1001 nodejs
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||||
RUN adduser --system --uid 1001 nextjs
|
||||
|
||||
RUN [ -z "$proxy" ] || sed -i 's/dl-cdn.alpinelinux.org/mirrors.ustc.edu.cn/g' /etc/apk/repositories
|
||||
RUN apk add --no-cache curl ca-certificates \
|
||||
&& update-ca-certificates
|
||||
|
||||
# copy running files
|
||||
COPY --from=builder /app/projects/$name/public ./projects/$name/public
|
||||
COPY --from=builder /app/projects/$name/next.config.js ./projects/$name/next.config.js
|
||||
COPY --from=builder --chown=nextjs:nodejs /app/projects/$name/.next/standalone ./
|
||||
COPY --from=builder --chown=nextjs:nodejs /app/projects/$name/.next/static ./projects/$name/.next/static
|
||||
COPY --from=builder /app/projects/$name/public /app/projects/$name/public
|
||||
COPY --from=builder /app/projects/$name/next.config.js /app/projects/$name/next.config.js
|
||||
COPY --from=builder --chown=nextjs:nodejs /app/projects/$name/.next/standalone /app/
|
||||
COPY --from=builder --chown=nextjs:nodejs /app/projects/$name/.next/static /app/projects/$name/.next/static
|
||||
# copy package.json to version file
|
||||
COPY --from=builder /app/projects/$name/package.json ./package.json
|
||||
# copy woker
|
||||
COPY --from=workerDeps /app/worker /app/worker
|
||||
|
||||
ENV NODE_ENV production
|
||||
ENV NEXT_TELEMETRY_DISABLED 1
|
||||
|
||||
65
README.md
@@ -50,19 +50,20 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
|
||||
|
||||
## 💡 功能
|
||||
|
||||
1. 强大的可视化编排,轻松构建 AI 应用
|
||||
`1` 强大的可视化编排,轻松构建 AI 应用
|
||||
- [x] 提供简易模式,无需操作编排
|
||||
- [x] 用户对话前引导,全局字符串变量
|
||||
- [x] 知识库搜索
|
||||
- [x] 多 LLM 模型对话
|
||||
- [x] 文本内容提取成结构化数据
|
||||
- [x] HTTP 扩展
|
||||
- [ ] 嵌入 Laf,实现在线编写 HTTP 模块
|
||||
- [ ] 嵌入 [Laf](https://github.com/labring/laf),实现在线编写 HTTP 模块
|
||||
- [x] 对话下一步指引
|
||||
- [ ] 对话多路线选择
|
||||
- [x] 源文件引用追踪
|
||||
- [x] 模块封装,实现多级复用
|
||||
2. 丰富的知识库预处理
|
||||
|
||||
`2` 丰富的知识库预处理
|
||||
- [x] 多库复用,混用
|
||||
- [x] chunk 记录修改和删除
|
||||
- [x] 支持手动输入,直接分段,QA 拆分导入
|
||||
@@ -70,15 +71,18 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
|
||||
- [x] 支持知识库单独设置向量模型
|
||||
- [x] 源文件存储
|
||||
- [ ] 文件学习 Agent
|
||||
3. 多种效果测试渠道
|
||||
|
||||
`3` 多种效果测试渠道
|
||||
- [x] 知识库单点搜索测试
|
||||
- [x] 对话时反馈引用并可修改与删除
|
||||
- [x] 完整上下文呈现
|
||||
- [x] 完整模块中间值呈现
|
||||
4. OpenAPI
|
||||
|
||||
`4` OpenAPI
|
||||
- [x] completions 接口 (对齐 GPT 接口)
|
||||
- [ ] 知识库 CRUD
|
||||
5. 运营功能
|
||||
|
||||
`5` 运营功能
|
||||
- [x] 免登录分享窗口
|
||||
- [x] Iframe 一键嵌入
|
||||
- [x] 统一查阅对话记录,并对数据进行标注
|
||||
@@ -93,7 +97,7 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
|
||||
|
||||
- **⚡ 快速部署**
|
||||
|
||||
> Sealos 的服务器在国外,不需要额外处理网络问题,无需服务器、无需魔法、无需域名,支持高并发 & 动态伸缩。点击以下按钮即可一键部署 👇
|
||||
> [Sealos](https://sealos.io) 的服务器在国外,不需要额外处理网络问题,无需服务器、无需魔法、无需域名,支持高并发 & 动态伸缩。点击以下按钮即可一键部署 👇
|
||||
|
||||
[](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
|
||||
|
||||
@@ -142,7 +146,7 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
|
||||
<img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
|
||||
</a>
|
||||
|
||||
## 🤝 第三方生态
|
||||
## 🌿 第三方生态
|
||||
|
||||
- [OnWeChat 个人微信/企微机器人](https://doc.fastgpt.in/docs/use-cases/onwechat/)
|
||||
|
||||
@@ -150,9 +154,50 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
|
||||
<img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
|
||||
</a>
|
||||
|
||||
## 🤝 参与贡献
|
||||
|
||||
我们非常欢迎各种形式的贡献。如果你对贡献代码感兴趣,可以查看我们的 GitHub [Issues](https://github.com/labring/FastGPT/issues?q=is%3Aissue+is%3Aopen+sort%3Aupdated-desc),大展身手,向我们展示你的奇思妙想。
|
||||
|
||||
<a href="https://github.com/labring/FastGPT/graphs/contributors" target="_blank">
|
||||
<table>
|
||||
<tr>
|
||||
<th colspan="2">
|
||||
<br><img src="https://contrib.rocks/image?repo=labring/FastGPT"><br><br>
|
||||
</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<picture>
|
||||
<source media="(prefers-color-scheme: dark)" srcset="https://next.ossinsight.io/widgets/official/compose-org-active-contributors/thumbnail.png?activity=active&period=past_28_days&owner_id=102226726&repo_ids=605673387&image_size=2x3&color_scheme=dark">
|
||||
<img alt="Active participants of labring - past 28 days" src="https://next.ossinsight.io/widgets/official/compose-org-active-contributors/thumbnail.png?activity=active&period=past_28_days&owner_id=102226726&repo_ids=605673387&image_size=2x3&color_scheme=light">
|
||||
</picture>
|
||||
</td>
|
||||
<td rowspan="2">
|
||||
<picture>
|
||||
<source media="(prefers-color-scheme: dark)" srcset="https://next.ossinsight.io/widgets/official/compose-org-participants-growth/thumbnail.png?activity=new&period=past_28_days&owner_id=102226726&repo_ids=605673387&image_size=4x7&color_scheme=dark">
|
||||
<img alt="New trends of labring" src="https://next.ossinsight.io/widgets/official/compose-org-participants-growth/thumbnail.png?activity=new&period=past_28_days&owner_id=102226726&repo_ids=605673387&image_size=4x7&color_scheme=light">
|
||||
</picture>
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<picture>
|
||||
<source media="(prefers-color-scheme: dark)" srcset="https://next.ossinsight.io/widgets/official/compose-org-active-contributors/thumbnail.png?activity=new&period=past_28_days&owner_id=102226726&repo_ids=605673387&image_size=2x3&color_scheme=dark">
|
||||
<img alt="New participants of labring - past 28 days" src="https://next.ossinsight.io/widgets/official/compose-org-active-contributors/thumbnail.png?activity=new&period=past_28_days&owner_id=102226726&repo_ids=605673387&image_size=2x3&color_scheme=light">
|
||||
</picture>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
</a>
|
||||
|
||||
## 🌟 Star History
|
||||
|
||||
[](https://star-history.com/#labring/FastGPT&Date)
|
||||
<a href="https://github.com/labring/FastGPT/stargazers" target="_blank" style="display: block" align="center">
|
||||
<picture>
|
||||
<source media="(prefers-color-scheme: dark)" srcset="https://next.ossinsight.io/widgets/official/analyze-repo-stars-history/thumbnail.png?repo_id=605673387&image_size=auto&color_scheme=dark">
|
||||
<img alt="Star History of labring/FastGPT" src="https://next.ossinsight.io/widgets/official/analyze-repo-stars-history/thumbnail.png?repo_id=605673387&image_size=auto&color_scheme=light">
|
||||
</picture>
|
||||
</a>
|
||||
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
|
||||
@@ -165,4 +210,4 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
|
||||
1. 允许作为后台服务直接商用,但不允许提供 SaaS 服务。
|
||||
2. 未经商业授权,任何形式的商用服务均需保留相关版权信息。
|
||||
3. 完整请查看 [FastGPT Open Source License](./LICENSE)
|
||||
4. 联系方式:yujinlong@sealos.io,[点击查看商业版定价策略](https://doc.fastgpt.in/docs/commercial)
|
||||
4. 联系方式:yujinlong@sealos.io,[点击查看商业版定价策略](https://doc.fastgpt.in/docs/commercial)
|
||||
BIN
docSite/assets/imgs/customfeedback1.png
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40
docSite/content/docs/course/data_search.md
Normal file
@@ -0,0 +1,40 @@
|
||||
---
|
||||
title: '知识库搜索参数'
|
||||
description: '知识库搜索原理'
|
||||
icon: 'language'
|
||||
draft: false
|
||||
toc: true
|
||||
weight: 106
|
||||
---
|
||||
|
||||
在知识库搜索的方式上,FastGPT提供了三种方式,分别为“语义检索”“增强语义检索”“混合检索”。
|
||||
|
||||

|
||||
|
||||
## 语义检索
|
||||
|
||||
语义检索就是向量检索,同时把用户的问题和知识库内容向量化,然后通过“语义相关度匹配”的方式从知识库中查找到匹配的知识点。
|
||||
|
||||
优点:
|
||||
- 相近语义理解
|
||||
- 跨多语言理解(例如输入中文问题匹配英文知识点)
|
||||
- 多模态理解(文本,图片,音视频等)
|
||||
|
||||
## 增强语义检索
|
||||
|
||||
在语义检索的基础上,增强“语义相关度匹配”并在搜索结束后进行 Rerank(重排)。
|
||||
|
||||
Rerank(重排):把检索结果按“与用户问题语义”相关性,从高到低排序,简单的说就是把最匹配用户问题的检索结果排在前面。
|
||||
|
||||
## 混合检索(推荐)
|
||||
|
||||
|
||||
在向量检索的同时进行全文检索,并把两项检索的结果混合一起重排,以便选中匹配用户问题的最佳结果。
|
||||
|
||||
全文检索:理解为全文关键词检索,通过关键词查询知识库,并返回包含关键词的文本片段。
|
||||
|
||||
优点:
|
||||
- 精确匹配(姓名,编号,ID等)
|
||||
- 少量关键词匹配(当用户问题字数过少时向量检索效果非常不好)
|
||||
|
||||
混合检索结合了向量检索和全文检索的优点,并且对查询结果进行了重排,大大提高了命中率,推荐使用。
|
||||
@@ -50,7 +50,7 @@ BATCH_UPDATE_ENABLED=true
|
||||
BATCH_UPDATE_INTERVAL=60
|
||||
```
|
||||
|
||||
## 使用步骤
|
||||
## One API使用步骤
|
||||
|
||||
### 1. 登录 One API
|
||||
|
||||
|
||||
@@ -24,7 +24,9 @@ weight: 860
|
||||
"success": true,
|
||||
"message": "错误提示",
|
||||
"msg": "同message, 错误提示",
|
||||
"uid": "用户唯一凭证"
|
||||
"data": {
|
||||
"uid": "用户唯一凭证"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
@@ -80,7 +82,9 @@ curl --location --request POST '{{host}}/shareAuth/init' \
|
||||
```json
|
||||
{
|
||||
"success": true,
|
||||
"uid": "username123",
|
||||
"data": {
|
||||
"uid": "用户唯一凭证"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
@@ -129,7 +133,9 @@ curl --location --request POST '{{host}}/shareAuth/start' \
|
||||
```json
|
||||
{
|
||||
"success": true,
|
||||
"uid": "username123",
|
||||
"data": {
|
||||
"uid": "用户唯一凭证"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
|
||||
@@ -41,4 +41,154 @@ Sealos 的服务器在国外,不需要额外处理网络问题,无需服务
|
||||
|
||||
## 部署架构图
|
||||
|
||||

|
||||

|
||||
|
||||
## Sealos 使用
|
||||
|
||||
### 简介
|
||||
|
||||
FastGPT 商业版共包含了3个应用(fastgpt, fastgpt-plus, fastgpt-admin)和2个数据库,使用多 Api Key 时候需要安装 OneAPI(一个应用和一个数据库),总计4个应用和3个数据库。
|
||||
|
||||

|
||||
|
||||
点击右侧的详情,可以查看对应应用的详细信息。
|
||||
|
||||
### 如何更新/升级 FastGPT
|
||||
[升级脚本文档](https://doc.fastgpt.in/docs/development/upgrading/)先看下文档,看下需要升级哪个版本。注意,不要跨版本升级!!!!!
|
||||
|
||||
例如,目前是4.5 版本,要升级到4.5.1,就先把镜像版本改成v4.5.1,执行一下升级脚本,等待完成后再继续升级。如果目标版本不需要执行初始化,则可以跳过。
|
||||
|
||||
升级步骤:
|
||||
1. 打开sealos的应用管理
|
||||
2. 有3个应用 fastgpt , fastgpt-plugin 和 fastgpt-admin
|
||||
3. 点击对应应用右边3个点,变更。或者点详情后右上角的变更。
|
||||
4. 修改镜像名栏
|
||||

|
||||
|
||||
5. 点击变更/重启,会自动拉取最新镜像进行更新
|
||||
6. 执行对应版本的初始化脚本
|
||||
|
||||
### 如何获取 FastGPT 访问链接
|
||||
|
||||
打开对应的应用,点击外网访问地址。
|
||||
|
||||

|
||||
|
||||
### 配置自定义域名
|
||||
|
||||
点击对应应用的变更->点击自定义域名->填写域名-> 操作域名 Cname -> 确认 -> 确认变。
|
||||
|
||||

|
||||
|
||||
### 如何修改配置文件
|
||||
|
||||
打开 Sealos 的应用管理 -> 找到对应的应用 -> 变更 -> 往下拉到高级配置,里面有个配置文件 -> 新增或点击对应的配置文件可以进行编辑 -> 点击右上角确认变。
|
||||
|
||||

|
||||
|
||||
[配置文件参考](https://doc.fastgpt.in/docs/development/configuration/)
|
||||
|
||||
FeConfig 参考下面(目前未做可视化)
|
||||
```
|
||||
"FeConfig": {
|
||||
"show_emptyChat": false, // 是否展示聊天时空白的内容
|
||||
"show_register": true, // 展示注册按键
|
||||
"show_appStore": false, // 应用市场(暂时不可用)
|
||||
"show_contact": false, // 联系方式(目前不可配置,直接false)
|
||||
"show_git": false, // 展示 github
|
||||
"show_doc": false, // 展示文档
|
||||
"show_pay": true, // 展示支付
|
||||
"show_openai_account": false, // 用户可自定义 openai key
|
||||
"show_promotion": false, // 邀请好友机制
|
||||
"docUrl": "https://doc.fastgpt.in", // 文档基本地址
|
||||
"systemTitle": "FastGPT", // 系统的 title
|
||||
"googleClientVerKey": "", // 谷歌 v3 校验前端凭证
|
||||
"isPlus": true, // 直接设置 true
|
||||
"oauth": { // oauth登录
|
||||
"github": "",
|
||||
"google": ""
|
||||
},
|
||||
"limit": {
|
||||
"exportLimitMinutes": 0 // 导出间隔限制
|
||||
},
|
||||
"scripts": [
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
### 修改站点名称以及 favicon
|
||||
修改应用的环境变量,增加
|
||||
|
||||
```
|
||||
SYSTEM_NAME=FastGPT
|
||||
SYSTEM_FAVICON=/favicon.ico
|
||||
HOME_URL=/app/list
|
||||
```
|
||||
|
||||
SYSTEM_FAVICON 可以是一个网络地址
|
||||
|
||||

|
||||
|
||||
### 挂载logo
|
||||
目前暂时无法 把浏览器上的logo替换。仅支持svg,待后续可视化做了后可以全部替换。
|
||||
新增一个挂载文件,文件名为:/app/projects/app/public/icon/logo.svg ,值为 svg 对应的值。
|
||||
|
||||

|
||||

|
||||
|
||||
### 管理后台
|
||||
|
||||

|
||||
|
||||
|
||||
### 商业版镜像配置文件
|
||||
|
||||
```
|
||||
{
|
||||
"license": "",
|
||||
"system": {
|
||||
"title": "" // 系统名称
|
||||
},
|
||||
"censor": {
|
||||
"BAIDU_TEXT_CENSOR_CLIENTID": "", // 百度文本安全校验
|
||||
"BAIDU_TEXT_CENSOR_CLIENTSECRET": "" // 百度文本安全校验
|
||||
},
|
||||
"auth": {
|
||||
"googleServiceVerKey": "", // 谷歌 v3 校验
|
||||
"github": { // github oauth
|
||||
"clientId": "",
|
||||
"secret": ""
|
||||
},
|
||||
"google": { // google oauth
|
||||
"clientId": "",
|
||||
"secret": ""
|
||||
},
|
||||
"email": { // 注册邮箱配置
|
||||
"service": "qq",
|
||||
"user": "",
|
||||
"pass": ""
|
||||
},
|
||||
"phone": { // 阿里短信配置
|
||||
"SNED_PHONE_ACCESSKEYID": "",
|
||||
"SNED_PHONE_ACCESSSECRET": "",
|
||||
"SNED_PHONE_SIGNNAME": "",
|
||||
"SNED_PHONE_TEMPLATE": ""
|
||||
}
|
||||
},
|
||||
"pay": { // 微信支付配置
|
||||
"wx": {
|
||||
"WX_APPID": "",
|
||||
"WX_MCHID": "",
|
||||
"WX_V3_CODE": "",
|
||||
"WX_NOTIFY_URL": "",
|
||||
"WX_SERIAL_NO": "",
|
||||
"WX_PRIVATE_KEY": ""
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
```
|
||||
|
||||
### One API 使用
|
||||
|
||||
[参考 OneAPI 使用步骤](/docs/development/one-api/)
|
||||
@@ -32,7 +32,7 @@ curl --location --request POST 'https://{{host}}/api/admin/initv464' \
|
||||
4. 优化 - 历史记录模块。弃用旧的历史记录模块,直接在对应地方填写数值即可。
|
||||
5. 调整 - 知识库搜索模块 topk 逻辑,采用 MaxToken 计算,兼容不同长度的文本块
|
||||
6. 调整鉴权顺序,提高 apikey 的优先级,避免cookie抢占 apikey 的鉴权。
|
||||
7. 链接读取支持多选择器。参考[Web 站点同步用法](/docs/course/webSync)
|
||||
7. 链接读取支持多选择器。参考[Web 站点同步用法](/docs/course/websync)
|
||||
8. 修复 - 分享链接图片上传鉴权问题
|
||||
9. 修复 - Mongo 连接池未释放问题。
|
||||
10. 修复 - Dataset Intro 无法更新
|
||||
|
||||
@@ -43,7 +43,6 @@ weight: 506
|
||||
AIBOTK_KEY=微秘书 APIKEY
|
||||
AIBOTK_SECRET=微秘书 APISECRET
|
||||
WORK_PRO_TOKEN=你申请的企微 token (企业微信需要填写,私人微信不需要)
|
||||
WECHATY_PUPPET_SERVICE_AUTHORITY=token-service-discovery-test.juzibot.com(企业微信需要填写,私人微信不需要)
|
||||
```
|
||||
|
||||
这里最后两个变量只有部署企业微信才需要,私人微信只需要填写前两个即可。
|
||||
@@ -56,7 +55,7 @@ WECHATY_PUPPET_SERVICE_AUTHORITY=token-service-discovery-test.juzibot.com(企
|
||||
|
||||

|
||||
|
||||
`WORK_PRO_TOKEN` [点击这里](https://tss.juzibot.com?aff=aibotk)申请 token 然后填入即可。
|
||||
`WORK_PRO_TOKEN` [点击这里](https://tss.rpachat.com/?aff=aibotk)申请 token 然后填入即可。
|
||||
|
||||
`WECHATY_PUPPET_SERVICE_AUTHORITY`的值复制过去就可以。
|
||||
|
||||
|
||||
35
docSite/content/docs/workflow/modules/custom_feedback.md
Normal file
@@ -0,0 +1,35 @@
|
||||
---
|
||||
title: "自定义反馈"
|
||||
description: "自定义反馈模块介绍"
|
||||
icon: "feedback"
|
||||
draft: false
|
||||
toc: true
|
||||
weight: 354
|
||||
---
|
||||
|
||||
该模块为临时模块,后续会针对该模块进行更全面的设计。
|
||||
|
||||
## 特点
|
||||
|
||||
- 可重复添加
|
||||
- 无外部输入
|
||||
- 自动执行
|
||||
|
||||
|
||||
| | |
|
||||
| --------------------- | --------------------- |
|
||||
|  |  |
|
||||
|  |  |
|
||||
|
||||
|
||||
## 介绍
|
||||
|
||||
自定义反馈模块,可以为你的对话增加一个反馈标记,从而方便在后台更好的分析对话的数据。
|
||||
|
||||
在调试模式下,不会记录反馈内容,而是直接提示: `自动反馈测试: 反馈内容`。
|
||||
|
||||
在对话模式(对话、分享窗口、带 chatId 的 API 调用)时,会将反馈内容记录到对话日志中。(会延迟60s记录)
|
||||
|
||||
## 作用
|
||||
|
||||
自定义反馈模块的功能类似于程序开发的`埋点`,便于你观测的对话中的数据。
|
||||
@@ -1,19 +0,0 @@
|
||||
---
|
||||
title: "历史记录"
|
||||
description: "FastGPT 历史记录模块介绍"
|
||||
icon: "history"
|
||||
draft: false
|
||||
toc: true
|
||||
weight: 354
|
||||
---
|
||||
|
||||
# 特点
|
||||
|
||||
- 可重复添加(防止复杂编排时线太乱,重复添加可以更美观)
|
||||
- 无外部输入
|
||||
- 流程入口
|
||||
- 自动执行
|
||||
|
||||
每次对话时,会从数据库取最多 n 条聊天记录作为上下文。注意,不是指本轮对话最多 n 条上下文,本轮对话还包括:提示词、限定词、引用内容和问题。
|
||||
|
||||

|
||||
@@ -1,5 +1,5 @@
|
||||
---
|
||||
title: "HTTP 模块"
|
||||
title: "新 HTTP 模块"
|
||||
description: "FastGPT HTTP 模块介绍"
|
||||
icon: "http"
|
||||
draft: false
|
||||
@@ -19,86 +19,233 @@ weight: 355
|
||||
|
||||
## 介绍
|
||||
|
||||
HTTP 模块会向对应的地址发送一个 POST 请求(Body 中携带 JSON 类型的参数,具体的参数可自定义),并接收一个 JSON 响应值,字段也是自定义。如上图中,我们定义了一个入参:「提取的字段」(定义的 key 为 appointment,类型为 string)和一个出参:「提取结果」(定义的 key 为 response,类型为 string)。
|
||||
HTTP 模块会向对应的地址发送一个 `POST/GET` 请求,携带部分`系统参数`及`自定义参数`,并接收一个 JSON 响应值,字段也是自定义。
|
||||
|
||||
那么,这个请求的命令为:
|
||||
- 你还可以通过 JSON 传入自定义的请求头。
|
||||
- POST 请求中,数据会被放置在 `body` 中。
|
||||
- GET 请求中,数据会被放置在 `query` 中。
|
||||
- 在出入参数中,你都可以通过 xxx.xxx 来代表嵌套的对象。
|
||||
|
||||
```bash
|
||||
curl --location --request POST 'https://xxxx.laf.dev/appointment-lab' \
|
||||
--header 'Content-Type: application/json' \
|
||||
--data-raw '{
|
||||
"appointment":"{\"name\":\"小明\",\"time\":\"2023/08/16 15:00\",\"labname\":\"子良A323\"}"
|
||||
}'
|
||||
```
|
||||
## 参数结构
|
||||
|
||||
响应为:
|
||||
### 系统参数说明
|
||||
|
||||
- appId: 应用的ID
|
||||
- chatId: 当前对话的ID,测试模式下不存在。
|
||||
- responseChatItemId: 当前对话中,响应的消息ID,测试模式下不存在。
|
||||
- variables: 当前对话的全局变量。
|
||||
- data: 自定义传递的参数。
|
||||
|
||||
### 嵌套对象使用
|
||||
|
||||
**入参**
|
||||
|
||||
假设我们设计了`3个`输入。
|
||||
|
||||
- user.name (string)
|
||||
- user.age (number)
|
||||
- type (string)
|
||||
|
||||
最终组成的对象为:
|
||||
|
||||
```json
|
||||
{
|
||||
"response": "您已经有一个预约记录了,每人仅能同时预约一个实验室:\n 姓名:小明\n 时间: 2023/08/15 15:00\n 实验室: 子良A323\n "
|
||||
"user": {
|
||||
"name": "",
|
||||
"age": ""
|
||||
},
|
||||
"type": ""
|
||||
}
|
||||
```
|
||||
|
||||
**出参**
|
||||
|
||||
假设接口的输出结构为:
|
||||
|
||||
```json
|
||||
{
|
||||
"message": "测试",
|
||||
"data":{
|
||||
"name": "name",
|
||||
"age": 10
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
那么,自定出参的`key`可以设置为:
|
||||
|
||||
- message (string)
|
||||
- data.name (string)
|
||||
- data.age (number)
|
||||
|
||||
|
||||
## POST 示例
|
||||
|
||||
**自定义入参**
|
||||
|
||||
- user.name (string)
|
||||
- user.age (number)
|
||||
- type (string)
|
||||
|
||||
**自定义出参**
|
||||
|
||||
- message (string)
|
||||
- data.name (string)
|
||||
- data.age (number)
|
||||
|
||||
那么,这个模块发出的请求则是:
|
||||
|
||||
{{< tabs tabTotal="2" >}}
|
||||
{{< tab tabName="POST 请求示例" >}}
|
||||
{{< markdownify >}}
|
||||
|
||||
```bash
|
||||
curl --location --request POST 'http://xxxx.com' \
|
||||
--header 'Content-Type: application/json' \
|
||||
--data-raw '{
|
||||
"appId": "65782f7ffae5f7854ed4498b",
|
||||
"chatId": "xxxx",
|
||||
"responseChatItemId": "xxxx",
|
||||
"variables": {
|
||||
"cTime": "2023-12-18 13:45:46"
|
||||
},
|
||||
"data": {
|
||||
"user": {
|
||||
"name": "",
|
||||
"age": ""
|
||||
},
|
||||
"type": ""
|
||||
}
|
||||
}'
|
||||
```
|
||||
|
||||
{{< /markdownify >}}
|
||||
{{< /tab >}}
|
||||
|
||||
{{< tab tabName="POST响应" >}}
|
||||
{{< markdownify >}}
|
||||
|
||||
```json
|
||||
{
|
||||
"message": "message",
|
||||
"data": {
|
||||
"name": "name",
|
||||
"age": 10
|
||||
}
|
||||
}
|
||||
```
|
||||
{{< /markdownify >}}
|
||||
{{< /tab >}}
|
||||
{{< /tabs >}}
|
||||
|
||||
## GET 示例
|
||||
|
||||
GET 中,不推荐使用嵌套参数,否则会出现奇怪的问题。此外,GET 请求中,FastGPT 会将参数扁平化,不会将自定义参单独抽到 data 中,同时全局变量也会扁平化,因此需要注意字段 key 是否冲突。
|
||||
|
||||
**自定义入参**
|
||||
|
||||
- name (string)
|
||||
- age (number)
|
||||
- type (string)
|
||||
|
||||
**自定义出参**
|
||||
|
||||
- message (string)
|
||||
- name (string)
|
||||
- age (number)
|
||||
|
||||
那么,这个模块发出的请求则是:
|
||||
|
||||
{{< tabs tabTotal="2" >}}
|
||||
{{< tab tabName="GET 请求示例" >}}
|
||||
{{< markdownify >}}
|
||||
|
||||
```bash
|
||||
curl --location --request GET 'http://xxx.com/test?name&age&type&appId=65782f7ffae5f7854ed4498b&chatId=xxxx&responseChatItemId=xxxx&cTime=2023-12-18 13:45:46'
|
||||
```
|
||||
|
||||
{{< /markdownify >}}
|
||||
{{< /tab >}}
|
||||
|
||||
{{< tab tabName="GET 响应" >}}
|
||||
{{< markdownify >}}
|
||||
|
||||
```json
|
||||
{
|
||||
"message": "message",
|
||||
"data": {
|
||||
"name": "name",
|
||||
"age": 10
|
||||
}
|
||||
}
|
||||
```
|
||||
{{< /markdownify >}}
|
||||
{{< /tab >}}
|
||||
{{< /tabs >}}
|
||||
|
||||
|
||||
## laf 对接 HTTP 示例
|
||||
|
||||
{{% alert context="warning" %}}
|
||||
如果你不想额外部署服务,可以使用 [Laf](https://laf.dev/) 来快速开发上线接口,即写即发,无需部署。
|
||||
|
||||
下面是在 Laf 上编写的一个请求示例:
|
||||
{{% /alert %}}
|
||||
|
||||
下面是在 Laf 编写的 POST 请求示例:
|
||||
|
||||
```ts
|
||||
import cloud from '@lafjs/cloud';
|
||||
const db = cloud.database();
|
||||
import cloud from '@lafjs/cloud'
|
||||
const db = cloud.database()
|
||||
|
||||
type RequestType = {
|
||||
appId: string;
|
||||
data: {
|
||||
appointment: string;
|
||||
action: 'post' | 'delete' | 'put' | 'get'
|
||||
}
|
||||
}
|
||||
|
||||
export default async function (ctx: FunctionContext) {
|
||||
const { appointment } = ctx.body;
|
||||
const { name, time, labname } = JSON.parse(appointment);
|
||||
try {
|
||||
// 从 body 中获取参数
|
||||
const { appId, data: { appointment, action } } = ctx.body as RequestType
|
||||
|
||||
const parseBody = JSON.parse(appointment)
|
||||
if (action === 'get') {
|
||||
return await getRecord(parseBody)
|
||||
}
|
||||
if (action === 'post') {
|
||||
return await createRecord(parseBody)
|
||||
}
|
||||
if (action === 'put') {
|
||||
return await putRecord(parseBody)
|
||||
}
|
||||
if (action === 'delete') {
|
||||
return await removeRecord(parseBody)
|
||||
}
|
||||
|
||||
const missData = [];
|
||||
if (!name) missData.push('你的姓名');
|
||||
if (!time) missData.push('需要预约的时间');
|
||||
if (!labname) missData.push('实验室名称');
|
||||
|
||||
if (missData.length > 0) {
|
||||
return {
|
||||
response: `请提供: ${missData.join('、')}`
|
||||
};
|
||||
}
|
||||
|
||||
const { data: record } = await db
|
||||
.collection('LabAppointment')
|
||||
.where({
|
||||
name,
|
||||
status: 'unStart'
|
||||
})
|
||||
.getOne();
|
||||
|
||||
if (record) {
|
||||
response: "异常"
|
||||
}
|
||||
} catch (err) {
|
||||
return {
|
||||
response: `您已经有一个预约记录了,每人仅能同时预约一个实验室:
|
||||
姓名:${record.name}
|
||||
时间: ${record.time}
|
||||
实验室: ${record.labname}
|
||||
`
|
||||
};
|
||||
response: "异常"
|
||||
}
|
||||
}
|
||||
|
||||
await db.collection('LabAppointment').add({
|
||||
name,
|
||||
time,
|
||||
labname,
|
||||
status: 'unStart'
|
||||
});
|
||||
|
||||
return {
|
||||
response: `预约成功。
|
||||
姓名:${name}
|
||||
时间: ${time}
|
||||
实验室: ${labname}
|
||||
`
|
||||
};
|
||||
}
|
||||
```
|
||||
|
||||
## 作用
|
||||
|
||||
基于 HTTP 模块可以无限扩展,比如操作数据库、执行联网搜索、发送邮箱等等。如果你有有趣的案例,欢迎提交 PR 到 [编排案例](/docs/workflow/examples)
|
||||
通过 HTTP 模块你可以无限扩展,比如:
|
||||
- 操作数据库
|
||||
- 调用外部数据源
|
||||
- 执行联网搜索
|
||||
- 发送邮箱
|
||||
- ....
|
||||
|
||||
|
||||
## 相关示例
|
||||
|
||||
- [谷歌搜索](/docs/workflow/examples/google_search/)
|
||||
- [实验室预约(操作数据库)](/docs/workflow/examples/lab_appointment/)
|
||||
28
docSite/content/docs/workflow/modules/judgement.md
Normal file
@@ -0,0 +1,28 @@
|
||||
---
|
||||
title: "判断器"
|
||||
description: "FastGPT 判断器模块介绍"
|
||||
icon: "input"
|
||||
draft: false
|
||||
toc: true
|
||||
weight: 362
|
||||
---
|
||||
|
||||
## 特点
|
||||
|
||||
- 可重复添加
|
||||
- 有外部输入
|
||||
- 触发执行
|
||||
|
||||

|
||||
|
||||
## 功能
|
||||
|
||||
对任意输入内容进行 True False 输出,默认情况下,当传入的内容为 false, undefined, null,0,none 时,会输出 false。
|
||||
|
||||
也可以增加自定义规则来补充输出 false 的内容,每行代表一个匹配规则,支持正则表达式。
|
||||
|
||||
根据上方示例图的匹配规则,当我们输入`123` `hi` `你好` 和任意手机号码时(正则匹配)同样也会输出 False 。
|
||||
|
||||
## 作用
|
||||
|
||||
适用场景有:让大模型做判断后输出固定内容,根据大模型回复内容判断是否触发后续模块。
|
||||
28
docSite/content/docs/workflow/modules/string.md
Normal file
@@ -0,0 +1,28 @@
|
||||
---
|
||||
title: "文本加工"
|
||||
description: "FastGPT 文本加工模块介绍"
|
||||
icon: "input"
|
||||
draft: false
|
||||
toc: true
|
||||
weight: 363
|
||||
---
|
||||
|
||||
## 特点
|
||||
|
||||
- 可重复添加
|
||||
- 有外部输入
|
||||
- 触发执行
|
||||
- 手动配置
|
||||
|
||||

|
||||
|
||||
|
||||
## 功能
|
||||
对输入文本进行固定加工处理,入参仅支持字符串和数字格式,入参以变量形式使用在文本编辑区域。
|
||||
|
||||
根据上方示例图的处理方式,对任何输入都会在前面拼接“我的问题是:”。
|
||||
|
||||
|
||||
## 作用
|
||||
|
||||
给任意模块输入自定格式文本,或处理 AI 模块系统提示词。
|
||||
19
package.json
@@ -5,27 +5,24 @@
|
||||
"scripts": {
|
||||
"prepare": "husky install",
|
||||
"format-code": "prettier --config \"./.prettierrc.js\" --write \"./**/src/**/*.{ts,tsx,scss}\"",
|
||||
"format-doc": "zhlint --dir ./docSite *.md --fix"
|
||||
"format-doc": "zhlint --dir ./docSite *.md --fix",
|
||||
"postinstall": "sh ./scripts/postinstall.sh"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/multer": "^1.4.10",
|
||||
"husky": "^8.0.3",
|
||||
"i18next": "^22.5.1",
|
||||
"lint-staged": "^13.2.1",
|
||||
"next-i18next": "^13.3.0",
|
||||
"prettier": "^3.0.3",
|
||||
"react-i18next": "^12.3.1",
|
||||
"zhlint": "^0.7.1"
|
||||
"zhlint": "^0.7.1",
|
||||
"i18next": "^22.5.1",
|
||||
"next-i18next": "^13.3.0",
|
||||
"react-i18next": "^12.3.1"
|
||||
},
|
||||
"lint-staged": {
|
||||
"./**/**/*.{ts,tsx,scss}": "npm run format-code",
|
||||
"./**/**/*.md": "npm run format-doc"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18.0.0"
|
||||
},
|
||||
"dependencies": {
|
||||
"multer": "1.4.5-lts.1",
|
||||
"openai": "4.16.1"
|
||||
"node": ">=18.0.0",
|
||||
"pnpm": ">=8.6.0"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,8 +1,3 @@
|
||||
import axios from 'axios';
|
||||
import { UrlFetchParams, UrlFetchResponse } from './api.d';
|
||||
import { htmlToMarkdown } from '../string/markdown';
|
||||
import * as cheerio from 'cheerio';
|
||||
|
||||
export const formatFileSize = (bytes: number): string => {
|
||||
if (bytes === 0) return '0 B';
|
||||
|
||||
@@ -12,91 +7,3 @@ export const formatFileSize = (bytes: number): string => {
|
||||
|
||||
return parseFloat((bytes / Math.pow(k, i)).toFixed(2)) + ' ' + sizes[i];
|
||||
};
|
||||
|
||||
export const cheerioToHtml = ({
|
||||
fetchUrl,
|
||||
$,
|
||||
selector
|
||||
}: {
|
||||
fetchUrl: string;
|
||||
$: cheerio.CheerioAPI;
|
||||
selector?: string;
|
||||
}) => {
|
||||
// get origin url
|
||||
const originUrl = new URL(fetchUrl).origin;
|
||||
|
||||
// remove i element
|
||||
$('i,script').remove();
|
||||
|
||||
// remove empty a element
|
||||
$('a')
|
||||
.filter((i, el) => {
|
||||
return $(el).text().trim() === '' && $(el).children().length === 0;
|
||||
})
|
||||
.remove();
|
||||
|
||||
// if link,img startWith /, add origin url
|
||||
$('a').each((i, el) => {
|
||||
const href = $(el).attr('href');
|
||||
if (href && href.startsWith('/')) {
|
||||
$(el).attr('href', originUrl + href);
|
||||
}
|
||||
});
|
||||
$('img').each((i, el) => {
|
||||
const src = $(el).attr('src');
|
||||
if (src && src.startsWith('/')) {
|
||||
$(el).attr('src', originUrl + src);
|
||||
}
|
||||
});
|
||||
|
||||
const html = $(selector || 'body')
|
||||
.map((item, dom) => {
|
||||
return $(dom).html();
|
||||
})
|
||||
.get()
|
||||
.join('\n');
|
||||
|
||||
return html;
|
||||
};
|
||||
export const urlsFetch = async ({
|
||||
urlList,
|
||||
selector
|
||||
}: UrlFetchParams): Promise<UrlFetchResponse> => {
|
||||
urlList = urlList.filter((url) => /^(http|https):\/\/[^ "]+$/.test(url));
|
||||
|
||||
const response = (
|
||||
await Promise.all(
|
||||
urlList.map(async (url) => {
|
||||
try {
|
||||
const fetchRes = await axios.get(url, {
|
||||
timeout: 30000
|
||||
});
|
||||
|
||||
const $ = cheerio.load(fetchRes.data);
|
||||
|
||||
const md = htmlToMarkdown(
|
||||
cheerioToHtml({
|
||||
fetchUrl: url,
|
||||
$,
|
||||
selector
|
||||
})
|
||||
);
|
||||
|
||||
return {
|
||||
url,
|
||||
content: md
|
||||
};
|
||||
} catch (error) {
|
||||
console.log(error, 'fetch error');
|
||||
|
||||
return {
|
||||
url,
|
||||
content: ''
|
||||
};
|
||||
}
|
||||
})
|
||||
)
|
||||
).filter((item) => item.content);
|
||||
|
||||
return response;
|
||||
};
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
import { simpleText } from './tools';
|
||||
import { NodeHtmlMarkdown } from 'node-html-markdown';
|
||||
|
||||
/* Delete redundant text in markdown */
|
||||
export const simpleMarkdownText = (rawText: string) => {
|
||||
@@ -27,75 +26,11 @@ export const simpleMarkdownText = (rawText: string) => {
|
||||
|
||||
// Remove headings and code blocks front spaces
|
||||
['####', '###', '##', '#', '```', '~~~'].forEach((item, i) => {
|
||||
const isMarkdown = i <= 3;
|
||||
const reg = new RegExp(`\\n\\s*${item}`, 'g');
|
||||
if (reg.test(rawText)) {
|
||||
rawText = rawText.replace(
|
||||
new RegExp(`(\\n)\\s*(${item})`, 'g'),
|
||||
isMarkdown ? '\n$1$2' : '$1$2'
|
||||
);
|
||||
rawText = rawText.replace(new RegExp(`(\\n)\\s*(${item})`, 'g'), '$1$2');
|
||||
}
|
||||
});
|
||||
|
||||
return rawText.trim();
|
||||
};
|
||||
|
||||
/* html string to markdown */
|
||||
export const htmlToMarkdown = (html?: string | null) => {
|
||||
if (!html) return '';
|
||||
|
||||
const surround = (source: string, surroundStr: string) => `${surroundStr}${source}${surroundStr}`;
|
||||
|
||||
const nhm = new NodeHtmlMarkdown(
|
||||
{
|
||||
codeFence: '```',
|
||||
codeBlockStyle: 'fenced',
|
||||
ignore: ['i', 'script']
|
||||
},
|
||||
{
|
||||
code: ({ node, parent, options: { codeFence, codeBlockStyle }, visitor }) => {
|
||||
const isCodeBlock = ['PRE', 'WRAPPED-PRE'].includes(parent?.tagName!);
|
||||
|
||||
if (!isCodeBlock) {
|
||||
return {
|
||||
spaceIfRepeatingChar: true,
|
||||
noEscape: true,
|
||||
postprocess: ({ content }) => {
|
||||
// Find longest occurring sequence of running backticks and add one more (so content is escaped)
|
||||
const delimiter =
|
||||
'`' + (content.match(/`+/g)?.sort((a, b) => b.length - a.length)?.[0] || '');
|
||||
const padding = delimiter.length > 1 ? ' ' : '';
|
||||
|
||||
return surround(surround(content, padding), delimiter);
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
/* Handle code block */
|
||||
if (codeBlockStyle === 'fenced') {
|
||||
const language =
|
||||
node.getAttribute('class')?.match(/language-(\S+)/)?.[1] ||
|
||||
parent?.getAttribute('class')?.match(/language-(\S+)/)?.[1] ||
|
||||
'';
|
||||
|
||||
return {
|
||||
noEscape: true,
|
||||
prefix: `${codeFence}${language}\n`,
|
||||
postfix: `\n${codeFence}\n`,
|
||||
childTranslators: visitor.instance.codeBlockTranslators
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
noEscape: true,
|
||||
postprocess: ({ content }) => content.replace(/^/gm, ' '),
|
||||
childTranslators: visitor.instance.codeBlockTranslators
|
||||
};
|
||||
}
|
||||
}
|
||||
);
|
||||
|
||||
const markdown = nhm.translate(html).trim();
|
||||
|
||||
return simpleMarkdownText(markdown);
|
||||
};
|
||||
|
||||
@@ -13,12 +13,13 @@ export const splitText2Chunks = (props: {
|
||||
chunkLen: number;
|
||||
overlapRatio?: number;
|
||||
customReg?: string[];
|
||||
countTokens?: boolean;
|
||||
}): {
|
||||
chunks: string[];
|
||||
tokens: number;
|
||||
overlapRatio?: number;
|
||||
} => {
|
||||
let { text = '', chunkLen, overlapRatio = 0.2, customReg = [] } = props;
|
||||
let { text = '', chunkLen, overlapRatio = 0.2, customReg = [], countTokens = true } = props;
|
||||
const splitMarker = 'SPLIT_HERE_SPLIT_HERE';
|
||||
const codeBlockMarker = 'CODE_BLOCK_LINE_MARKER';
|
||||
const overlapLen = Math.round(chunkLen * overlapRatio);
|
||||
@@ -231,9 +232,11 @@ export const splitText2Chunks = (props: {
|
||||
step: 0,
|
||||
lastText: '',
|
||||
mdTitle: ''
|
||||
}).map((chunk) => chunk.replaceAll(codeBlockMarker, '\n')); // restore code block
|
||||
}).map((chunk) => chunk?.replaceAll(codeBlockMarker, '\n') || ''); // restore code block
|
||||
|
||||
const tokens = chunks.reduce((sum, chunk) => sum + countPromptTokens(chunk, 'system'), 0);
|
||||
const tokens = countTokens
|
||||
? chunks.reduce((sum, chunk) => sum + countPromptTokens(chunk, 'system'), 0)
|
||||
: 0;
|
||||
|
||||
return {
|
||||
chunks,
|
||||
|
||||
11
packages/global/core/chat/type.d.ts
vendored
@@ -40,7 +40,7 @@ export type ChatItemSchema = {
|
||||
value: string;
|
||||
userGoodFeedback?: string;
|
||||
userBadFeedback?: string;
|
||||
robotBadFeedback?: string;
|
||||
customFeedbacks?: string[];
|
||||
adminFeedback?: AdminFbkType;
|
||||
[ModuleOutputKeyEnum.responseData]?: ChatHistoryItemResType[];
|
||||
};
|
||||
@@ -60,6 +60,7 @@ export type ChatItemType = {
|
||||
value: any;
|
||||
userGoodFeedback?: string;
|
||||
userBadFeedback?: string;
|
||||
customFeedbacks?: ChatItemSchema['customFeedbacks'];
|
||||
adminFeedback?: ChatItemSchema['feedback'];
|
||||
[ModuleOutputKeyEnum.responseData]?: ChatHistoryItemResType[];
|
||||
};
|
||||
@@ -84,12 +85,14 @@ export type ChatHistoryItemType = HistoryItemType & {
|
||||
|
||||
/* ------- response data ------------ */
|
||||
export type moduleDispatchResType = {
|
||||
// common
|
||||
moduleLogo?: string;
|
||||
price?: number;
|
||||
runningTime?: number;
|
||||
tokens?: number;
|
||||
model?: string;
|
||||
query?: string;
|
||||
contextTotalLen?: number;
|
||||
|
||||
// chat
|
||||
temperature?: number;
|
||||
@@ -116,6 +119,12 @@ export type moduleDispatchResType = {
|
||||
|
||||
// plugin output
|
||||
pluginOutput?: Record<string, any>;
|
||||
|
||||
// text editor
|
||||
textOutput?: string;
|
||||
|
||||
// tf switch
|
||||
tfSwitchResult?: boolean;
|
||||
};
|
||||
|
||||
export type ChatHistoryItemResType = moduleDispatchResType & {
|
||||
|
||||
15
packages/global/core/module/api.d.ts
vendored
@@ -1,3 +1,18 @@
|
||||
import { VectorModelItemType } from '../ai/model.d';
|
||||
|
||||
export type SelectedDatasetType = { datasetId: string; vectorModel: VectorModelItemType }[];
|
||||
|
||||
export type HttpBodyType<T = any> = {
|
||||
appId: string;
|
||||
chatId?: string;
|
||||
responseChatItemId?: string;
|
||||
variables: Record<string, any>;
|
||||
data: T;
|
||||
};
|
||||
export type HttpQueryType = {
|
||||
appId: string;
|
||||
chatId?: string;
|
||||
responseChatItemId?: string;
|
||||
variables: Record<string, any>;
|
||||
[key: string]: any;
|
||||
};
|
||||
|
||||
@@ -1,19 +1,17 @@
|
||||
export enum ModuleTemplateTypeEnum {
|
||||
userGuide = 'userGuide',
|
||||
systemInput = 'systemInput',
|
||||
tools = 'tools',
|
||||
textAnswer = 'textAnswer',
|
||||
dataset = 'dataset',
|
||||
functionCall = 'functionCall',
|
||||
externalCall = 'externalCall',
|
||||
|
||||
personalPlugin = 'personalPlugin',
|
||||
communityPlugin = 'communityPlugin',
|
||||
commercialPlugin = 'commercialPlugin',
|
||||
|
||||
other = 'other'
|
||||
}
|
||||
|
||||
export enum ModuleDataTypeEnum {
|
||||
export enum ModuleIOValueTypeEnum {
|
||||
string = 'string',
|
||||
number = 'number',
|
||||
boolean = 'boolean',
|
||||
@@ -44,6 +42,9 @@ export enum ModuleInputKeyEnum {
|
||||
aiModel = 'model',
|
||||
aiSystemPrompt = 'systemPrompt',
|
||||
description = 'description',
|
||||
anyInput = 'system_anyInput',
|
||||
textareaInput = 'system_textareaInput',
|
||||
addInputParam = 'system_addInputParam',
|
||||
|
||||
// history
|
||||
historyMaxAmount = 'maxContext',
|
||||
@@ -69,7 +70,10 @@ export enum ModuleInputKeyEnum {
|
||||
extractKeys = 'extractKeys',
|
||||
|
||||
// http
|
||||
httpUrl = 'url',
|
||||
httpReqUrl = 'system_httpReqUrl',
|
||||
httpHeader = 'system_httpHeader',
|
||||
httpMethod = 'system_httpMethod',
|
||||
abandon_httpUrl = 'url',
|
||||
|
||||
// app
|
||||
runAppSelectApp = 'app',
|
||||
@@ -87,6 +91,8 @@ export enum ModuleOutputKeyEnum {
|
||||
answerText = 'answerText', // answer module text key
|
||||
success = 'success',
|
||||
failed = 'failed',
|
||||
text = 'system_text',
|
||||
addOutputParam = 'system_addOutputParam',
|
||||
|
||||
// dataset
|
||||
datasetIsEmpty = 'isEmpty',
|
||||
@@ -94,7 +100,11 @@ export enum ModuleOutputKeyEnum {
|
||||
datasetQuoteQA = 'quoteQA',
|
||||
|
||||
// context extract
|
||||
contextExtractFields = 'fields'
|
||||
contextExtractFields = 'fields',
|
||||
|
||||
// tf switch
|
||||
resultTrue = 'system_resultTrue',
|
||||
resultFalse = 'system_resultFalse'
|
||||
}
|
||||
|
||||
export enum VariableInputEnum {
|
||||
@@ -102,3 +112,5 @@ export enum VariableInputEnum {
|
||||
textarea = 'textarea',
|
||||
select = 'select'
|
||||
}
|
||||
|
||||
export const DYNAMIC_INPUT_KEY = 'DYNAMIC_INPUT_KEY';
|
||||
|
||||
@@ -2,32 +2,39 @@ export enum FlowNodeInputTypeEnum {
|
||||
systemInput = 'systemInput', // history, userChatInput, variableInput
|
||||
|
||||
input = 'input', // one line input
|
||||
textarea = 'textarea',
|
||||
numberInput = 'numberInput',
|
||||
select = 'select',
|
||||
slider = 'slider',
|
||||
custom = 'custom',
|
||||
target = 'target', // data input
|
||||
switch = 'switch',
|
||||
textarea = 'textarea',
|
||||
|
||||
addInputParam = 'addInputParam', // params input
|
||||
|
||||
selectApp = 'selectApp',
|
||||
|
||||
// chat special input
|
||||
aiSettings = 'aiSettings',
|
||||
|
||||
// model select
|
||||
// ai model select
|
||||
selectChatModel = 'selectChatModel',
|
||||
selectCQModel = 'selectCQModel',
|
||||
selectExtractModel = 'selectExtractModel',
|
||||
|
||||
// dataset special input
|
||||
selectDataset = 'selectDataset',
|
||||
selectDatasetParamsModal = 'selectDatasetParamsModal',
|
||||
|
||||
hidden = 'hidden'
|
||||
hidden = 'hidden',
|
||||
custom = 'custom'
|
||||
}
|
||||
|
||||
export enum FlowNodeOutputTypeEnum {
|
||||
answer = 'answer',
|
||||
source = 'source',
|
||||
hidden = 'hidden'
|
||||
hidden = 'hidden',
|
||||
|
||||
addOutputParam = 'addOutputParam'
|
||||
}
|
||||
|
||||
export enum FlowNodeTypeEnum {
|
||||
@@ -45,7 +52,10 @@ export enum FlowNodeTypeEnum {
|
||||
pluginModule = 'pluginModule',
|
||||
pluginInput = 'pluginInput',
|
||||
pluginOutput = 'pluginOutput',
|
||||
textEditor = 'textEditor',
|
||||
|
||||
// abandon
|
||||
variable = 'variable'
|
||||
}
|
||||
|
||||
export const EDGE_TYPE = 'smoothstep';
|
||||
|
||||
66
packages/global/core/module/node/type.d.ts
vendored
@@ -1,6 +1,7 @@
|
||||
import { FlowNodeInputTypeEnum, FlowNodeOutputTypeEnum, FlowNodeTypeEnum } from './constant';
|
||||
import { ModuleDataTypeEnum, ModuleInputKeyEnum, ModuleOutputKeyEnum } from '../constants';
|
||||
import { ModuleIOValueTypeEnum, ModuleInputKeyEnum, ModuleOutputKeyEnum } from '../constants';
|
||||
import { SelectedDatasetType } from '../api';
|
||||
import { EditInputFieldMap, EditOutputFieldMap } from './type';
|
||||
|
||||
export type FlowNodeChangeProps = {
|
||||
moduleId: string;
|
||||
@@ -20,27 +21,34 @@ export type FlowNodeChangeProps = {
|
||||
};
|
||||
|
||||
export type FlowNodeInputItemType = {
|
||||
valueType?: `${ModuleIOValueTypeEnum}`; // data type
|
||||
type: `${FlowNodeInputTypeEnum}`; // Node Type. Decide on a render style
|
||||
key: `${ModuleInputKeyEnum}` | string;
|
||||
type: `${FlowNodeInputTypeEnum}`; // Decide on a render style
|
||||
value?: any;
|
||||
valueType?: `${ModuleDataTypeEnum}`; // data type
|
||||
label: string;
|
||||
description?: string;
|
||||
required?: boolean;
|
||||
|
||||
edit?: boolean; // Whether to allow editing
|
||||
connected?: boolean; // unConnected field will be deleted
|
||||
editField?: EditInputFieldMap;
|
||||
defaultEditField?: EditNodeFieldType;
|
||||
|
||||
connected?: boolean; // There are incoming data
|
||||
|
||||
showTargetInApp?: boolean;
|
||||
showTargetInPlugin?: boolean;
|
||||
|
||||
placeholder?: string; // input,textarea
|
||||
list?: { label: string; value: any }[]; // select
|
||||
step?: number; // slider max?: number;
|
||||
max?: number;
|
||||
min?: number;
|
||||
markList?: { label: string; value: any }[]; // slider
|
||||
hideInApp?: boolean;
|
||||
hideInPlugin?: boolean;
|
||||
|
||||
plusField?: boolean; // plus system will show
|
||||
placeholder?: string; // input,textarea
|
||||
|
||||
list?: { label: string; value: any }[]; // select
|
||||
|
||||
markList?: { label: string; value: any }[]; // slider
|
||||
step?: number; // slider
|
||||
max?: number; // slider, number input
|
||||
min?: number; // slider, number input
|
||||
};
|
||||
|
||||
export type FlowNodeOutputTargetItemType = {
|
||||
@@ -48,15 +56,41 @@ export type FlowNodeOutputTargetItemType = {
|
||||
key: string;
|
||||
};
|
||||
export type FlowNodeOutputItemType = {
|
||||
key: `${ModuleOutputKeyEnum}` | string;
|
||||
label?: string;
|
||||
edit?: boolean;
|
||||
description?: string;
|
||||
valueType?: `${ModuleDataTypeEnum}`;
|
||||
type?: `${FlowNodeOutputTypeEnum}`;
|
||||
key: `${ModuleOutputKeyEnum}` | string;
|
||||
valueType?: `${ModuleIOValueTypeEnum}`;
|
||||
|
||||
label?: string;
|
||||
description?: string;
|
||||
|
||||
edit?: boolean;
|
||||
editField?: EditOutputFieldMap;
|
||||
defaultEditField?: EditNodeFieldType;
|
||||
|
||||
targets: FlowNodeOutputTargetItemType[];
|
||||
};
|
||||
|
||||
/* --------------- edit field ------------------- */
|
||||
export type EditInputFieldMap = EditOutputFieldMap & {
|
||||
inputType?: boolean;
|
||||
required?: boolean;
|
||||
};
|
||||
export type EditOutputFieldMap = {
|
||||
name?: boolean;
|
||||
key?: boolean;
|
||||
description?: boolean;
|
||||
dataType?: boolean;
|
||||
};
|
||||
export type EditNodeFieldType = {
|
||||
inputType?: `${FlowNodeInputTypeEnum}`; // input type
|
||||
outputType?: `${FlowNodeOutputTypeEnum}`;
|
||||
required?: boolean;
|
||||
key?: string;
|
||||
label?: string;
|
||||
description?: string;
|
||||
valueType?: `${ModuleIOValueTypeEnum}`;
|
||||
};
|
||||
|
||||
/* ------------- item type --------------- */
|
||||
/* ai chat modules props */
|
||||
export type AIChatModuleProps = {
|
||||
|
||||
@@ -1,13 +1,13 @@
|
||||
import type { FlowNodeInputItemType } from '../node/type.d';
|
||||
import { ModuleInputKeyEnum } from '../constants';
|
||||
import { DYNAMIC_INPUT_KEY, ModuleInputKeyEnum } from '../constants';
|
||||
import { FlowNodeInputTypeEnum } from '../node/constant';
|
||||
import { ModuleDataTypeEnum } from '../constants';
|
||||
import { ModuleIOValueTypeEnum } from '../constants';
|
||||
|
||||
export const Input_Template_TFSwitch: FlowNodeInputItemType = {
|
||||
export const Input_Template_Switch: FlowNodeInputItemType = {
|
||||
key: ModuleInputKeyEnum.switch,
|
||||
type: FlowNodeInputTypeEnum.target,
|
||||
label: 'core.module.input.label.switch',
|
||||
valueType: ModuleDataTypeEnum.any,
|
||||
valueType: ModuleIOValueTypeEnum.any,
|
||||
showTargetInApp: true,
|
||||
showTargetInPlugin: true
|
||||
};
|
||||
@@ -19,7 +19,7 @@ export const Input_Template_History: FlowNodeInputItemType = {
|
||||
required: true,
|
||||
min: 0,
|
||||
max: 30,
|
||||
valueType: ModuleDataTypeEnum.chatHistory,
|
||||
valueType: ModuleIOValueTypeEnum.chatHistory,
|
||||
value: 6,
|
||||
showTargetInApp: true,
|
||||
showTargetInPlugin: true
|
||||
@@ -30,7 +30,29 @@ export const Input_Template_UserChatInput: FlowNodeInputItemType = {
|
||||
type: FlowNodeInputTypeEnum.target,
|
||||
label: 'core.module.input.label.user question',
|
||||
required: true,
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
showTargetInApp: true,
|
||||
showTargetInPlugin: true
|
||||
};
|
||||
|
||||
export const Input_Template_AddInputParam: FlowNodeInputItemType = {
|
||||
key: ModuleInputKeyEnum.addInputParam,
|
||||
type: FlowNodeInputTypeEnum.addInputParam,
|
||||
valueType: ModuleIOValueTypeEnum.any,
|
||||
label: '',
|
||||
required: false,
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
};
|
||||
|
||||
export const Input_Template_DynamicInput: FlowNodeInputItemType = {
|
||||
key: DYNAMIC_INPUT_KEY,
|
||||
type: FlowNodeInputTypeEnum.target,
|
||||
valueType: ModuleIOValueTypeEnum.any,
|
||||
label: 'core.module.inputType.dynamicTargetInput',
|
||||
description: 'core.module.input.description.dynamic input',
|
||||
required: false,
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: true,
|
||||
hideInApp: true
|
||||
};
|
||||
|
||||
@@ -1,13 +1,21 @@
|
||||
import type { FlowNodeOutputItemType } from '../node/type';
|
||||
import { ModuleOutputKeyEnum } from '../constants';
|
||||
import { FlowNodeOutputTypeEnum } from '../node/constant';
|
||||
import { ModuleDataTypeEnum } from '../constants';
|
||||
import { ModuleIOValueTypeEnum } from '../constants';
|
||||
|
||||
export const Output_Template_Finish: FlowNodeOutputItemType = {
|
||||
key: ModuleOutputKeyEnum.finish,
|
||||
label: 'core.module.output.label.running done',
|
||||
description: 'core.module.output.description.running done',
|
||||
valueType: ModuleDataTypeEnum.boolean,
|
||||
valueType: ModuleIOValueTypeEnum.boolean,
|
||||
type: FlowNodeOutputTypeEnum.source,
|
||||
targets: []
|
||||
};
|
||||
|
||||
export const Output_Template_AddOutput: FlowNodeOutputItemType = {
|
||||
key: ModuleOutputKeyEnum.addOutputParam,
|
||||
type: FlowNodeOutputTypeEnum.addOutputParam,
|
||||
valueType: ModuleIOValueTypeEnum.any,
|
||||
label: '',
|
||||
targets: []
|
||||
};
|
||||
|
||||
@@ -2,9 +2,13 @@ import {
|
||||
FlowNodeInputTypeEnum,
|
||||
FlowNodeOutputTypeEnum,
|
||||
FlowNodeTypeEnum
|
||||
} from '../../node/constant';
|
||||
import { FlowModuleTemplateType } from '../../type.d';
|
||||
import { ModuleDataTypeEnum, ModuleInputKeyEnum, ModuleTemplateTypeEnum } from '../../constants';
|
||||
} from '../../../node/constant';
|
||||
import { FlowModuleTemplateType } from '../../../type';
|
||||
import {
|
||||
ModuleIOValueTypeEnum,
|
||||
ModuleInputKeyEnum,
|
||||
ModuleTemplateTypeEnum
|
||||
} from '../../../constants';
|
||||
|
||||
export const HistoryModule: FlowModuleTemplateType = {
|
||||
id: FlowNodeTypeEnum.historyNode,
|
||||
@@ -12,7 +16,7 @@ export const HistoryModule: FlowModuleTemplateType = {
|
||||
flowType: FlowNodeTypeEnum.historyNode,
|
||||
avatar: '/imgs/module/history.png',
|
||||
name: '聊天记录(弃用)',
|
||||
intro: '用户输入的内容。该模块通常作为应用的入口,用户在发送消息后会首先执行该模块。',
|
||||
intro: '聊天记录,该模块已被弃用',
|
||||
inputs: [
|
||||
{
|
||||
key: ModuleInputKeyEnum.historyMaxAmount,
|
||||
@@ -21,7 +25,7 @@ export const HistoryModule: FlowModuleTemplateType = {
|
||||
description:
|
||||
'该记录数不代表模型可接收这么多的历史记录,具体可接收多少历史记录,取决于模型的能力,通常建议不要超过20条。',
|
||||
value: 6,
|
||||
valueType: ModuleDataTypeEnum.number,
|
||||
valueType: ModuleIOValueTypeEnum.number,
|
||||
min: 0,
|
||||
max: 100,
|
||||
showTargetInApp: false,
|
||||
@@ -30,7 +34,7 @@ export const HistoryModule: FlowModuleTemplateType = {
|
||||
{
|
||||
key: ModuleInputKeyEnum.history,
|
||||
type: FlowNodeInputTypeEnum.hidden,
|
||||
valueType: ModuleDataTypeEnum.chatHistory,
|
||||
valueType: ModuleIOValueTypeEnum.chatHistory,
|
||||
label: '聊天记录',
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
@@ -40,7 +44,7 @@ export const HistoryModule: FlowModuleTemplateType = {
|
||||
{
|
||||
key: ModuleInputKeyEnum.history,
|
||||
label: '聊天记录',
|
||||
valueType: ModuleDataTypeEnum.chatHistory,
|
||||
valueType: ModuleIOValueTypeEnum.chatHistory,
|
||||
type: FlowNodeOutputTypeEnum.source,
|
||||
targets: []
|
||||
}
|
||||
@@ -5,14 +5,14 @@ import {
|
||||
} from '../../node/constant';
|
||||
import { FlowModuleTemplateType } from '../../type.d';
|
||||
import {
|
||||
ModuleDataTypeEnum,
|
||||
ModuleIOValueTypeEnum,
|
||||
ModuleInputKeyEnum,
|
||||
ModuleOutputKeyEnum,
|
||||
ModuleTemplateTypeEnum
|
||||
} from '../../constants';
|
||||
import {
|
||||
Input_Template_History,
|
||||
Input_Template_TFSwitch,
|
||||
Input_Template_Switch,
|
||||
Input_Template_UserChatInput
|
||||
} from '../input';
|
||||
import { chatNodeSystemPromptTip } from '../tip';
|
||||
@@ -27,13 +27,13 @@ export const AiChatModule: FlowModuleTemplateType = {
|
||||
intro: 'AI 大模型对话',
|
||||
showStatus: true,
|
||||
inputs: [
|
||||
Input_Template_TFSwitch,
|
||||
Input_Template_Switch,
|
||||
{
|
||||
key: ModuleInputKeyEnum.aiModel,
|
||||
type: FlowNodeInputTypeEnum.selectChatModel,
|
||||
label: '对话模型',
|
||||
required: true,
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
},
|
||||
@@ -43,7 +43,7 @@ export const AiChatModule: FlowModuleTemplateType = {
|
||||
type: FlowNodeInputTypeEnum.hidden, // Set in the pop-up window
|
||||
label: '温度',
|
||||
value: 0,
|
||||
valueType: ModuleDataTypeEnum.number,
|
||||
valueType: ModuleIOValueTypeEnum.number,
|
||||
min: 0,
|
||||
max: 10,
|
||||
step: 1,
|
||||
@@ -59,7 +59,7 @@ export const AiChatModule: FlowModuleTemplateType = {
|
||||
type: FlowNodeInputTypeEnum.hidden, // Set in the pop-up window
|
||||
label: '回复上限',
|
||||
value: 2000,
|
||||
valueType: ModuleDataTypeEnum.number,
|
||||
valueType: ModuleIOValueTypeEnum.number,
|
||||
min: 100,
|
||||
max: 4000,
|
||||
step: 50,
|
||||
@@ -78,7 +78,7 @@ export const AiChatModule: FlowModuleTemplateType = {
|
||||
type: FlowNodeInputTypeEnum.hidden,
|
||||
label: '返回AI内容',
|
||||
value: true,
|
||||
valueType: ModuleDataTypeEnum.boolean,
|
||||
valueType: ModuleIOValueTypeEnum.boolean,
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
},
|
||||
@@ -86,7 +86,7 @@ export const AiChatModule: FlowModuleTemplateType = {
|
||||
key: ModuleInputKeyEnum.aiChatQuoteTemplate,
|
||||
type: FlowNodeInputTypeEnum.hidden,
|
||||
label: '引用内容模板',
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
},
|
||||
@@ -94,7 +94,7 @@ export const AiChatModule: FlowModuleTemplateType = {
|
||||
key: ModuleInputKeyEnum.aiChatQuotePrompt,
|
||||
type: FlowNodeInputTypeEnum.hidden,
|
||||
label: '引用内容提示词',
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
},
|
||||
@@ -102,7 +102,7 @@ export const AiChatModule: FlowModuleTemplateType = {
|
||||
key: ModuleInputKeyEnum.aiChatSettingModal,
|
||||
type: FlowNodeInputTypeEnum.aiSettings,
|
||||
label: '',
|
||||
valueType: ModuleDataTypeEnum.any,
|
||||
valueType: ModuleIOValueTypeEnum.any,
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
},
|
||||
@@ -112,7 +112,7 @@ export const AiChatModule: FlowModuleTemplateType = {
|
||||
type: FlowNodeInputTypeEnum.textarea,
|
||||
label: '系统提示词',
|
||||
max: 300,
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
description: chatNodeSystemPromptTip,
|
||||
placeholder: chatNodeSystemPromptTip,
|
||||
showTargetInApp: true,
|
||||
@@ -124,7 +124,7 @@ export const AiChatModule: FlowModuleTemplateType = {
|
||||
type: FlowNodeInputTypeEnum.target,
|
||||
label: '引用内容',
|
||||
description: "对象数组格式,结构:\n [{q:'问题',a:'回答'}]",
|
||||
valueType: ModuleDataTypeEnum.datasetQuote,
|
||||
valueType: ModuleIOValueTypeEnum.datasetQuote,
|
||||
showTargetInApp: true,
|
||||
showTargetInPlugin: true
|
||||
},
|
||||
@@ -135,7 +135,7 @@ export const AiChatModule: FlowModuleTemplateType = {
|
||||
key: ModuleOutputKeyEnum.history,
|
||||
label: '新的上下文',
|
||||
description: '将本次回复内容拼接上历史记录,作为新的上下文返回',
|
||||
valueType: ModuleDataTypeEnum.chatHistory,
|
||||
valueType: ModuleIOValueTypeEnum.chatHistory,
|
||||
type: FlowNodeOutputTypeEnum.source,
|
||||
targets: []
|
||||
},
|
||||
@@ -143,7 +143,7 @@ export const AiChatModule: FlowModuleTemplateType = {
|
||||
key: ModuleOutputKeyEnum.answerText,
|
||||
label: 'AI回复',
|
||||
description: '将在 stream 回复完毕后触发',
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
type: FlowNodeOutputTypeEnum.source,
|
||||
targets: []
|
||||
},
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import { FlowNodeInputTypeEnum, FlowNodeTypeEnum } from '../../node/constant';
|
||||
import { FlowModuleTemplateType } from '../../type.d';
|
||||
import { ModuleDataTypeEnum, ModuleInputKeyEnum, ModuleTemplateTypeEnum } from '../../constants';
|
||||
import { Input_Template_TFSwitch } from '../input';
|
||||
import { ModuleIOValueTypeEnum, ModuleInputKeyEnum, ModuleTemplateTypeEnum } from '../../constants';
|
||||
import { Input_Template_Switch } from '../input';
|
||||
import { Output_Template_Finish } from '../output';
|
||||
|
||||
export const AssignedAnswerModule: FlowModuleTemplateType = {
|
||||
@@ -12,14 +12,16 @@ export const AssignedAnswerModule: FlowModuleTemplateType = {
|
||||
name: '指定回复',
|
||||
intro: '该模块可以直接回复一段指定的内容。常用于引导、提示',
|
||||
inputs: [
|
||||
Input_Template_TFSwitch,
|
||||
Input_Template_Switch,
|
||||
{
|
||||
key: ModuleInputKeyEnum.answerText,
|
||||
type: FlowNodeInputTypeEnum.textarea,
|
||||
valueType: ModuleDataTypeEnum.any,
|
||||
valueType: ModuleIOValueTypeEnum.any,
|
||||
label: '回复的内容',
|
||||
description:
|
||||
'可以使用 \\n 来实现连续换行。\n\n可以通过外部模块输入实现回复,外部模块输入时会覆盖当前填写的内容。\n\n如传入非字符串类型数据将会自动转成字符串',
|
||||
'可以使用 \\n 来实现连续换行。\n可以通过外部模块输入实现回复,外部模块输入时会覆盖当前填写的内容。\n如传入非字符串类型数据将会自动转成字符串',
|
||||
placeholder:
|
||||
'可以使用 \\n 来实现连续换行。\n可以通过外部模块输入实现回复,外部模块输入时会覆盖当前填写的内容。\n如传入非字符串类型数据将会自动转成字符串',
|
||||
showTargetInApp: true,
|
||||
showTargetInPlugin: true
|
||||
}
|
||||
|
||||
@@ -4,10 +4,10 @@ import {
|
||||
FlowNodeTypeEnum
|
||||
} from '../../node/constant';
|
||||
import { FlowModuleTemplateType } from '../../type.d';
|
||||
import { ModuleDataTypeEnum, ModuleInputKeyEnum, ModuleTemplateTypeEnum } from '../../constants';
|
||||
import { ModuleIOValueTypeEnum, ModuleInputKeyEnum, ModuleTemplateTypeEnum } from '../../constants';
|
||||
import {
|
||||
Input_Template_History,
|
||||
Input_Template_TFSwitch,
|
||||
Input_Template_Switch,
|
||||
Input_Template_UserChatInput
|
||||
} from '../input';
|
||||
|
||||
@@ -24,11 +24,11 @@ export const ClassifyQuestionModule: FlowModuleTemplateType = {
|
||||
类型4: 其他问题`,
|
||||
showStatus: true,
|
||||
inputs: [
|
||||
Input_Template_TFSwitch,
|
||||
Input_Template_Switch,
|
||||
{
|
||||
key: ModuleInputKeyEnum.aiModel,
|
||||
type: FlowNodeInputTypeEnum.selectCQModel,
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
label: '分类模型',
|
||||
required: true,
|
||||
showTargetInApp: false,
|
||||
@@ -37,7 +37,7 @@ export const ClassifyQuestionModule: FlowModuleTemplateType = {
|
||||
{
|
||||
key: ModuleInputKeyEnum.aiSystemPrompt,
|
||||
type: FlowNodeInputTypeEnum.textarea,
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
label: '背景知识',
|
||||
description:
|
||||
'你可以添加一些特定内容的介绍,从而更好的识别用户的问题类型。这个内容通常是给模型介绍一个它不知道的内容。',
|
||||
@@ -51,7 +51,7 @@ export const ClassifyQuestionModule: FlowModuleTemplateType = {
|
||||
{
|
||||
key: ModuleInputKeyEnum.agents,
|
||||
type: FlowNodeInputTypeEnum.custom,
|
||||
valueType: ModuleDataTypeEnum.any,
|
||||
valueType: ModuleIOValueTypeEnum.any,
|
||||
label: '',
|
||||
value: [
|
||||
{
|
||||
|
||||
@@ -5,12 +5,12 @@ import {
|
||||
} from '../../node/constant';
|
||||
import { FlowModuleTemplateType } from '../../type.d';
|
||||
import {
|
||||
ModuleDataTypeEnum,
|
||||
ModuleIOValueTypeEnum,
|
||||
ModuleInputKeyEnum,
|
||||
ModuleOutputKeyEnum,
|
||||
ModuleTemplateTypeEnum
|
||||
} from '../../constants';
|
||||
import { Input_Template_History, Input_Template_TFSwitch } from '../input';
|
||||
import { Input_Template_History, Input_Template_Switch } from '../input';
|
||||
|
||||
export const ContextExtractModule: FlowModuleTemplateType = {
|
||||
id: FlowNodeTypeEnum.contentExtract,
|
||||
@@ -21,11 +21,20 @@ export const ContextExtractModule: FlowModuleTemplateType = {
|
||||
intro: '可从文本中提取指定的数据,例如:sql语句、搜索关键词、代码等',
|
||||
showStatus: true,
|
||||
inputs: [
|
||||
Input_Template_TFSwitch,
|
||||
Input_Template_Switch,
|
||||
{
|
||||
key: ModuleInputKeyEnum.aiModel,
|
||||
type: FlowNodeInputTypeEnum.selectExtractModel,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
label: '提取模型',
|
||||
required: true,
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
},
|
||||
{
|
||||
key: ModuleInputKeyEnum.description,
|
||||
type: FlowNodeInputTypeEnum.textarea,
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
label: '提取要求描述',
|
||||
description: '给AI一些对应的背景知识或要求描述,引导AI更好的完成任务',
|
||||
required: true,
|
||||
@@ -40,7 +49,7 @@ export const ContextExtractModule: FlowModuleTemplateType = {
|
||||
type: FlowNodeInputTypeEnum.target,
|
||||
label: '需要提取的文本',
|
||||
required: true,
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
showTargetInApp: true,
|
||||
showTargetInPlugin: true
|
||||
},
|
||||
@@ -48,9 +57,9 @@ export const ContextExtractModule: FlowModuleTemplateType = {
|
||||
key: ModuleInputKeyEnum.extractKeys,
|
||||
type: FlowNodeInputTypeEnum.custom,
|
||||
label: '目标字段',
|
||||
valueType: ModuleDataTypeEnum.any,
|
||||
valueType: ModuleIOValueTypeEnum.any,
|
||||
description: "由 '描述' 和 'key' 组成一个目标字段,可提取多个目标字段",
|
||||
value: [], // {desc: string; key: string; required: boolean;}[]
|
||||
value: [], // {desc: string; key: string; required: boolean; enum: string[]}[]
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
}
|
||||
@@ -59,14 +68,14 @@ export const ContextExtractModule: FlowModuleTemplateType = {
|
||||
{
|
||||
key: ModuleOutputKeyEnum.success,
|
||||
label: '字段完全提取',
|
||||
valueType: ModuleDataTypeEnum.boolean,
|
||||
valueType: ModuleIOValueTypeEnum.boolean,
|
||||
type: FlowNodeOutputTypeEnum.source,
|
||||
targets: []
|
||||
},
|
||||
{
|
||||
key: ModuleOutputKeyEnum.failed,
|
||||
label: '提取字段缺失',
|
||||
valueType: ModuleDataTypeEnum.boolean,
|
||||
valueType: ModuleIOValueTypeEnum.boolean,
|
||||
type: FlowNodeOutputTypeEnum.source,
|
||||
targets: []
|
||||
},
|
||||
@@ -74,7 +83,7 @@ export const ContextExtractModule: FlowModuleTemplateType = {
|
||||
key: ModuleOutputKeyEnum.contextExtractFields,
|
||||
label: '完整提取结果',
|
||||
description: '一个 JSON 字符串,例如:{"name:":"YY","Time":"2023/7/2 18:00"}',
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
type: FlowNodeOutputTypeEnum.source,
|
||||
targets: []
|
||||
}
|
||||
|
||||
@@ -5,31 +5,31 @@ import {
|
||||
} from '../../node/constant';
|
||||
import { FlowModuleTemplateType } from '../../type.d';
|
||||
import {
|
||||
ModuleDataTypeEnum,
|
||||
ModuleIOValueTypeEnum,
|
||||
ModuleInputKeyEnum,
|
||||
ModuleOutputKeyEnum,
|
||||
ModuleTemplateTypeEnum
|
||||
} from '../../constants';
|
||||
import { Input_Template_TFSwitch, Input_Template_UserChatInput } from '../input';
|
||||
import { Input_Template_Switch, Input_Template_UserChatInput } from '../input';
|
||||
import { Output_Template_Finish } from '../output';
|
||||
import { DatasetSearchModeEnum } from '../../../dataset/constant';
|
||||
|
||||
export const DatasetSearchModule: FlowModuleTemplateType = {
|
||||
id: FlowNodeTypeEnum.datasetSearchNode,
|
||||
templateType: ModuleTemplateTypeEnum.dataset,
|
||||
templateType: ModuleTemplateTypeEnum.functionCall,
|
||||
flowType: FlowNodeTypeEnum.datasetSearchNode,
|
||||
avatar: '/imgs/module/db.png',
|
||||
name: '知识库搜索',
|
||||
intro: '去知识库中搜索对应的答案。可作为 AI 对话引用参考。',
|
||||
showStatus: true,
|
||||
inputs: [
|
||||
Input_Template_TFSwitch,
|
||||
Input_Template_Switch,
|
||||
{
|
||||
key: ModuleInputKeyEnum.datasetSelectList,
|
||||
type: FlowNodeInputTypeEnum.selectDataset,
|
||||
label: '关联的知识库',
|
||||
value: [],
|
||||
valueType: ModuleDataTypeEnum.selectDataset,
|
||||
valueType: ModuleIOValueTypeEnum.selectDataset,
|
||||
list: [],
|
||||
required: true,
|
||||
showTargetInApp: false,
|
||||
@@ -40,7 +40,7 @@ export const DatasetSearchModule: FlowModuleTemplateType = {
|
||||
type: FlowNodeInputTypeEnum.hidden,
|
||||
label: '最低相关性',
|
||||
value: 0.4,
|
||||
valueType: ModuleDataTypeEnum.number,
|
||||
valueType: ModuleIOValueTypeEnum.number,
|
||||
min: 0,
|
||||
max: 1,
|
||||
step: 0.01,
|
||||
@@ -57,7 +57,7 @@ export const DatasetSearchModule: FlowModuleTemplateType = {
|
||||
label: '引用上限',
|
||||
description: '单次搜索最大的 Tokens 数量,中文约1字=1.7Tokens,英文约1字=1Tokens',
|
||||
value: 1500,
|
||||
valueType: ModuleDataTypeEnum.number,
|
||||
valueType: ModuleIOValueTypeEnum.number,
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
},
|
||||
@@ -65,7 +65,7 @@ export const DatasetSearchModule: FlowModuleTemplateType = {
|
||||
key: ModuleInputKeyEnum.datasetSearchMode,
|
||||
type: FlowNodeInputTypeEnum.hidden,
|
||||
label: 'core.dataset.search.Mode',
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false,
|
||||
value: DatasetSearchModeEnum.embedding
|
||||
@@ -74,7 +74,7 @@ export const DatasetSearchModule: FlowModuleTemplateType = {
|
||||
key: ModuleInputKeyEnum.datasetParamsModal,
|
||||
type: FlowNodeInputTypeEnum.selectDatasetParamsModal,
|
||||
label: '',
|
||||
valueType: ModuleDataTypeEnum.any,
|
||||
valueType: ModuleIOValueTypeEnum.any,
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
},
|
||||
@@ -85,14 +85,14 @@ export const DatasetSearchModule: FlowModuleTemplateType = {
|
||||
key: ModuleOutputKeyEnum.datasetIsEmpty,
|
||||
label: '搜索结果为空',
|
||||
type: FlowNodeOutputTypeEnum.source,
|
||||
valueType: ModuleDataTypeEnum.boolean,
|
||||
valueType: ModuleIOValueTypeEnum.boolean,
|
||||
targets: []
|
||||
},
|
||||
{
|
||||
key: ModuleOutputKeyEnum.datasetUnEmpty,
|
||||
label: '搜索结果不为空',
|
||||
type: FlowNodeOutputTypeEnum.source,
|
||||
valueType: ModuleDataTypeEnum.boolean,
|
||||
valueType: ModuleIOValueTypeEnum.boolean,
|
||||
targets: []
|
||||
},
|
||||
{
|
||||
@@ -101,7 +101,7 @@ export const DatasetSearchModule: FlowModuleTemplateType = {
|
||||
description:
|
||||
'始终返回数组,如果希望搜索结果为空时执行额外操作,需要用到上面的两个输入以及目标模块的触发器',
|
||||
type: FlowNodeOutputTypeEnum.source,
|
||||
valueType: ModuleDataTypeEnum.datasetQuote,
|
||||
valueType: ModuleIOValueTypeEnum.datasetQuote,
|
||||
targets: []
|
||||
},
|
||||
Output_Template_Finish
|
||||
|
||||
@@ -1,8 +1,16 @@
|
||||
import { FlowNodeInputTypeEnum, FlowNodeTypeEnum } from '../../node/constant';
|
||||
import { FlowModuleTemplateType } from '../../type.d';
|
||||
import { ModuleDataTypeEnum, ModuleInputKeyEnum, ModuleTemplateTypeEnum } from '../../constants';
|
||||
import { Input_Template_TFSwitch } from '../input';
|
||||
import { Output_Template_Finish } from '../output';
|
||||
import {
|
||||
FlowNodeInputTypeEnum,
|
||||
FlowNodeOutputTypeEnum,
|
||||
FlowNodeTypeEnum
|
||||
} from '../../node/constant';
|
||||
import { FlowModuleTemplateType } from '../../type';
|
||||
import { ModuleIOValueTypeEnum, ModuleInputKeyEnum, ModuleTemplateTypeEnum } from '../../constants';
|
||||
import {
|
||||
Input_Template_AddInputParam,
|
||||
Input_Template_DynamicInput,
|
||||
Input_Template_Switch
|
||||
} from '../input';
|
||||
import { Output_Template_AddOutput, Output_Template_Finish } from '../output';
|
||||
|
||||
export const HttpModule: FlowModuleTemplateType = {
|
||||
id: FlowNodeTypeEnum.httpRequest,
|
||||
@@ -13,18 +21,86 @@ export const HttpModule: FlowModuleTemplateType = {
|
||||
intro: '可以发出一个 HTTP POST 请求,实现更为复杂的操作(联网搜索、数据库查询等)',
|
||||
showStatus: true,
|
||||
inputs: [
|
||||
Input_Template_TFSwitch,
|
||||
Input_Template_Switch,
|
||||
{
|
||||
key: ModuleInputKeyEnum.httpUrl,
|
||||
type: FlowNodeInputTypeEnum.input,
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
label: '请求地址',
|
||||
description: '请求目标地址',
|
||||
placeholder: 'https://api.ai.com/getInventory',
|
||||
key: ModuleInputKeyEnum.httpMethod,
|
||||
type: FlowNodeInputTypeEnum.select,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
label: 'core.module.input.label.Http Request Method',
|
||||
value: 'POST',
|
||||
list: [
|
||||
{
|
||||
label: 'GET',
|
||||
value: 'GET'
|
||||
},
|
||||
{
|
||||
label: 'POST',
|
||||
value: 'POST'
|
||||
}
|
||||
],
|
||||
required: true,
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
},
|
||||
{
|
||||
key: ModuleInputKeyEnum.httpReqUrl,
|
||||
type: FlowNodeInputTypeEnum.input,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
label: 'core.module.input.label.Http Request Url',
|
||||
description: 'core.module.input.description.Http Request Url',
|
||||
placeholder: 'https://api.ai.com/getInventory',
|
||||
required: false,
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
},
|
||||
{
|
||||
key: ModuleInputKeyEnum.httpHeader,
|
||||
type: FlowNodeInputTypeEnum.textarea,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
label: 'core.module.input.label.Http Request Header',
|
||||
description: 'core.module.input.description.Http Request Header',
|
||||
placeholder: 'core.module.input.description.Http Request Header',
|
||||
required: false,
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
},
|
||||
Input_Template_DynamicInput,
|
||||
{
|
||||
...Input_Template_AddInputParam,
|
||||
editField: {
|
||||
key: true,
|
||||
name: true,
|
||||
description: true,
|
||||
required: true,
|
||||
dataType: true
|
||||
},
|
||||
defaultEditField: {
|
||||
label: '',
|
||||
key: '',
|
||||
description: '',
|
||||
inputType: FlowNodeInputTypeEnum.target,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
required: true
|
||||
}
|
||||
}
|
||||
],
|
||||
outputs: [Output_Template_Finish]
|
||||
outputs: [
|
||||
Output_Template_Finish,
|
||||
{
|
||||
...Output_Template_AddOutput,
|
||||
editField: {
|
||||
key: true,
|
||||
name: true,
|
||||
description: true,
|
||||
dataType: true
|
||||
},
|
||||
defaultEditField: {
|
||||
label: '',
|
||||
key: '',
|
||||
description: '',
|
||||
outputType: FlowNodeOutputTypeEnum.source,
|
||||
valueType: ModuleIOValueTypeEnum.string
|
||||
}
|
||||
}
|
||||
]
|
||||
};
|
||||
|
||||
@@ -5,14 +5,14 @@ import {
|
||||
} from '../../node/constant';
|
||||
import { FlowModuleTemplateType } from '../../type.d';
|
||||
import {
|
||||
ModuleDataTypeEnum,
|
||||
ModuleIOValueTypeEnum,
|
||||
ModuleInputKeyEnum,
|
||||
ModuleOutputKeyEnum,
|
||||
ModuleTemplateTypeEnum
|
||||
} from '../../constants';
|
||||
import {
|
||||
Input_Template_History,
|
||||
Input_Template_TFSwitch,
|
||||
Input_Template_Switch,
|
||||
Input_Template_UserChatInput
|
||||
} from '../input';
|
||||
import { Output_Template_Finish } from '../output';
|
||||
@@ -26,11 +26,11 @@ export const RunAppModule: FlowModuleTemplateType = {
|
||||
intro: '可以选择一个其他应用进行调用',
|
||||
showStatus: true,
|
||||
inputs: [
|
||||
Input_Template_TFSwitch,
|
||||
Input_Template_Switch,
|
||||
{
|
||||
key: ModuleInputKeyEnum.runAppSelectApp,
|
||||
type: FlowNodeInputTypeEnum.selectApp,
|
||||
valueType: ModuleDataTypeEnum.selectApp,
|
||||
valueType: ModuleIOValueTypeEnum.selectApp,
|
||||
label: '选择一个应用',
|
||||
description: '选择一个其他应用进行调用',
|
||||
required: true,
|
||||
@@ -45,7 +45,7 @@ export const RunAppModule: FlowModuleTemplateType = {
|
||||
key: ModuleOutputKeyEnum.history,
|
||||
label: '新的上下文',
|
||||
description: '将该应用回复内容拼接到历史记录中,作为新的上下文返回',
|
||||
valueType: ModuleDataTypeEnum.chatHistory,
|
||||
valueType: ModuleIOValueTypeEnum.chatHistory,
|
||||
type: FlowNodeOutputTypeEnum.source,
|
||||
targets: []
|
||||
},
|
||||
@@ -53,7 +53,7 @@ export const RunAppModule: FlowModuleTemplateType = {
|
||||
key: ModuleOutputKeyEnum.answerText,
|
||||
label: 'AI回复',
|
||||
description: '将在应用完全结束后触发',
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
type: FlowNodeOutputTypeEnum.source,
|
||||
targets: []
|
||||
},
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import { FlowNodeInputTypeEnum, FlowNodeTypeEnum } from '../../node/constant';
|
||||
import { FlowModuleTemplateType } from '../../type.d';
|
||||
import { userGuideTip } from '../tip';
|
||||
import { ModuleDataTypeEnum, ModuleInputKeyEnum, ModuleTemplateTypeEnum } from '../../constants';
|
||||
import { ModuleIOValueTypeEnum, ModuleInputKeyEnum, ModuleTemplateTypeEnum } from '../../constants';
|
||||
|
||||
export const UserGuideModule: FlowModuleTemplateType = {
|
||||
id: FlowNodeTypeEnum.userGuide,
|
||||
@@ -14,7 +14,7 @@ export const UserGuideModule: FlowModuleTemplateType = {
|
||||
{
|
||||
key: ModuleInputKeyEnum.welcomeText,
|
||||
type: FlowNodeInputTypeEnum.hidden,
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
label: '开场白',
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
@@ -22,7 +22,7 @@ export const UserGuideModule: FlowModuleTemplateType = {
|
||||
{
|
||||
key: ModuleInputKeyEnum.variables,
|
||||
type: FlowNodeInputTypeEnum.hidden,
|
||||
valueType: ModuleDataTypeEnum.any,
|
||||
valueType: ModuleIOValueTypeEnum.any,
|
||||
label: '对话框变量',
|
||||
value: [],
|
||||
showTargetInApp: false,
|
||||
@@ -30,7 +30,7 @@ export const UserGuideModule: FlowModuleTemplateType = {
|
||||
},
|
||||
{
|
||||
key: ModuleInputKeyEnum.questionGuide,
|
||||
valueType: ModuleDataTypeEnum.boolean,
|
||||
valueType: ModuleIOValueTypeEnum.boolean,
|
||||
type: FlowNodeInputTypeEnum.switch,
|
||||
label: '问题引导',
|
||||
showTargetInApp: false,
|
||||
@@ -39,7 +39,7 @@ export const UserGuideModule: FlowModuleTemplateType = {
|
||||
{
|
||||
key: ModuleInputKeyEnum.tts,
|
||||
type: FlowNodeInputTypeEnum.hidden,
|
||||
valueType: ModuleDataTypeEnum.any,
|
||||
valueType: ModuleIOValueTypeEnum.any,
|
||||
label: '语音播报',
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
|
||||
@@ -5,7 +5,7 @@ import {
|
||||
} from '../../node/constant';
|
||||
import { FlowModuleTemplateType } from '../../type.d';
|
||||
import {
|
||||
ModuleDataTypeEnum,
|
||||
ModuleIOValueTypeEnum,
|
||||
ModuleInputKeyEnum,
|
||||
ModuleOutputKeyEnum,
|
||||
ModuleTemplateTypeEnum
|
||||
@@ -22,7 +22,7 @@ export const UserInputModule: FlowModuleTemplateType = {
|
||||
{
|
||||
key: ModuleInputKeyEnum.userChatInput,
|
||||
type: FlowNodeInputTypeEnum.systemInput,
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
label: '用户问题',
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
@@ -33,7 +33,7 @@ export const UserInputModule: FlowModuleTemplateType = {
|
||||
key: ModuleOutputKeyEnum.userChatInput,
|
||||
label: '用户问题',
|
||||
type: FlowNodeOutputTypeEnum.source,
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
targets: []
|
||||
}
|
||||
]
|
||||
|
||||
3
packages/global/core/module/type.d.ts
vendored
@@ -1,5 +1,5 @@
|
||||
import { FlowNodeTypeEnum } from './node/constant';
|
||||
import { ModuleDataTypeEnum, ModuleTemplateTypeEnum, VariableInputEnum } from './constants';
|
||||
import { ModuleIOValueTypeEnum, ModuleTemplateTypeEnum, VariableInputEnum } from './constants';
|
||||
import { FlowNodeInputItemType, FlowNodeOutputItemType } from './node/type';
|
||||
|
||||
export type FlowModuleTemplateType = {
|
||||
@@ -72,4 +72,5 @@ export type ContextExtractAgentItemType = {
|
||||
desc: string;
|
||||
key: string;
|
||||
required: boolean;
|
||||
enum?: string;
|
||||
};
|
||||
|
||||
@@ -1,7 +1,8 @@
|
||||
import { FlowNodeInputTypeEnum, FlowNodeTypeEnum } from './node/constant';
|
||||
import { ModuleDataTypeEnum, ModuleInputKeyEnum } from './constants';
|
||||
import { ModuleIOValueTypeEnum, ModuleInputKeyEnum } from './constants';
|
||||
import { FlowNodeInputItemType, FlowNodeOutputItemType } from './node/type';
|
||||
import { AppTTSConfigType, ModuleItemType, VariableItemType } from './type';
|
||||
import { Input_Template_Switch } from './template/input';
|
||||
|
||||
export const getGuideModule = (modules: ModuleItemType[]) =>
|
||||
modules.find((item) => item.flowType === FlowNodeTypeEnum.userGuide);
|
||||
@@ -29,42 +30,64 @@ export const splitGuideModule = (guideModules?: ModuleItemType) => {
|
||||
};
|
||||
};
|
||||
|
||||
export function formatPluginToPreviewModule(
|
||||
export const getOrInitModuleInputValue = (input: FlowNodeInputItemType) => {
|
||||
if (input.value !== undefined || !input.valueType) return input.value;
|
||||
|
||||
const map: Record<string, any> = {
|
||||
[ModuleIOValueTypeEnum.boolean]: false,
|
||||
[ModuleIOValueTypeEnum.number]: 0,
|
||||
[ModuleIOValueTypeEnum.string]: ''
|
||||
};
|
||||
|
||||
return map[input.valueType];
|
||||
};
|
||||
|
||||
export const getModuleInputUiField = (input: FlowNodeInputItemType) => {
|
||||
if (input.type === FlowNodeInputTypeEnum.input || input.type === FlowNodeInputTypeEnum.textarea) {
|
||||
return {
|
||||
placeholder: input.placeholder || input.description
|
||||
};
|
||||
}
|
||||
return {};
|
||||
};
|
||||
|
||||
export function plugin2ModuleIO(
|
||||
pluginId: string,
|
||||
modules: ModuleItemType[]
|
||||
): {
|
||||
inputs: FlowNodeInputItemType[];
|
||||
outputs: FlowNodeOutputItemType[];
|
||||
} {
|
||||
function getPluginTemplatePluginIdInput(pluginId: string): FlowNodeInputItemType {
|
||||
return {
|
||||
key: ModuleInputKeyEnum.pluginId,
|
||||
type: FlowNodeInputTypeEnum.hidden,
|
||||
label: 'pluginId',
|
||||
value: pluginId,
|
||||
valueType: ModuleDataTypeEnum.string,
|
||||
connected: true,
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
};
|
||||
}
|
||||
|
||||
const pluginInput = modules.find((module) => module.flowType === FlowNodeTypeEnum.pluginInput);
|
||||
const customOutput = modules.find((module) => module.flowType === FlowNodeTypeEnum.pluginOutput);
|
||||
const pluginOutput = modules.find((module) => module.flowType === FlowNodeTypeEnum.pluginOutput);
|
||||
|
||||
return {
|
||||
inputs: pluginInput
|
||||
? [
|
||||
getPluginTemplatePluginIdInput(pluginId),
|
||||
{
|
||||
// plugin id
|
||||
key: ModuleInputKeyEnum.pluginId,
|
||||
type: FlowNodeInputTypeEnum.hidden,
|
||||
label: 'pluginId',
|
||||
value: pluginId,
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
connected: true,
|
||||
showTargetInApp: false,
|
||||
showTargetInPlugin: false
|
||||
},
|
||||
// switch
|
||||
Input_Template_Switch,
|
||||
...pluginInput.inputs.map((item) => ({
|
||||
...item,
|
||||
...getModuleInputUiField(item),
|
||||
value: getOrInitModuleInputValue(item),
|
||||
edit: false,
|
||||
connected: false
|
||||
}))
|
||||
]
|
||||
: [],
|
||||
outputs: customOutput
|
||||
? customOutput.outputs.map((item) => ({
|
||||
outputs: pluginOutput
|
||||
? pluginOutput.outputs.map((item) => ({
|
||||
...item,
|
||||
edit: false
|
||||
}))
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
import { ModuleTemplateTypeEnum } from '../module/constants';
|
||||
import { ModuleItemType } from '../module/type';
|
||||
|
||||
export const defaultModules: ModuleItemType[] = [
|
||||
@@ -28,13 +27,8 @@ export const defaultModules: ModuleItemType[] = [
|
||||
}
|
||||
];
|
||||
|
||||
export enum PluginTypeEnum {
|
||||
export enum PluginSourceEnum {
|
||||
personal = 'personal',
|
||||
community = 'community',
|
||||
commercial = 'commercial'
|
||||
}
|
||||
export const PluginType2TemplateTypeMap = {
|
||||
[PluginTypeEnum.personal]: ModuleTemplateTypeEnum.personalPlugin,
|
||||
[PluginTypeEnum.community]: ModuleTemplateTypeEnum.communityPlugin,
|
||||
[PluginTypeEnum.commercial]: ModuleTemplateTypeEnum.commercialPlugin
|
||||
};
|
||||
|
||||
10
packages/global/core/plugin/type.d.ts
vendored
@@ -1,6 +1,6 @@
|
||||
import { ModuleTemplateTypeEnum } from 'core/module/constants';
|
||||
import type { ModuleItemType } from '../module/type.d';
|
||||
import { PluginTypeEnum } from './constants';
|
||||
import type { FlowModuleTemplateType, ModuleItemType } from '../module/type.d';
|
||||
import { PluginSourceEnum } from './constants';
|
||||
|
||||
export type PluginItemSchema = {
|
||||
_id: string;
|
||||
@@ -16,11 +16,13 @@ export type PluginItemSchema = {
|
||||
|
||||
/* plugin template */
|
||||
export type PluginTemplateType = {
|
||||
author?: string;
|
||||
id: string;
|
||||
type: `${PluginTypeEnum}`;
|
||||
source: `${PluginSourceEnum}`;
|
||||
templateType: FlowModuleTemplateType['templateType'];
|
||||
name: string;
|
||||
avatar: string;
|
||||
intro: string;
|
||||
showStatus?: boolean;
|
||||
modules: ModuleItemType[];
|
||||
templateType?: `${ModuleTemplateTypeEnum}`;
|
||||
};
|
||||
|
||||
@@ -2,17 +2,14 @@
|
||||
"name": "@fastgpt/global",
|
||||
"version": "1.0.0",
|
||||
"dependencies": {
|
||||
"axios": "^1.5.1",
|
||||
"cheerio": "1.0.0-rc.12",
|
||||
"dayjs": "^1.11.7",
|
||||
"openai": "4.23.0",
|
||||
"encoding": "^0.1.13",
|
||||
"js-tiktoken": "^1.0.7",
|
||||
"node-html-markdown": "^1.3.0",
|
||||
"openai": "^4.20.1",
|
||||
"axios": "^1.5.1",
|
||||
"timezones-list": "^3.0.2"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/node": "^20.8.5",
|
||||
"@types/turndown": "^5.0.4"
|
||||
"@types/node": "^20.8.5"
|
||||
}
|
||||
}
|
||||
|
||||
10
packages/plugins/package.json
Normal file
@@ -0,0 +1,10 @@
|
||||
{
|
||||
"name": "@fastgpt/plugins",
|
||||
"version": "1.0.0",
|
||||
"dependencies": {},
|
||||
"devDependencies": {
|
||||
"@types/node": "^20.8.5",
|
||||
"@fastgpt/global": "workspace:*",
|
||||
"@fastgpt/service": "workspace:*"
|
||||
}
|
||||
}
|
||||
21
packages/plugins/tsconfig.json
Normal file
@@ -0,0 +1,21 @@
|
||||
{
|
||||
"compilerOptions": {
|
||||
"target": "es2015",
|
||||
"lib": ["dom", "dom.iterable", "esnext"],
|
||||
"allowJs": true,
|
||||
"skipLibCheck": true,
|
||||
"strict": true,
|
||||
"forceConsistentCasingInFileNames": true,
|
||||
"noEmit": true,
|
||||
"esModuleInterop": true,
|
||||
"module": "esnext",
|
||||
"moduleResolution": "node",
|
||||
"resolveJsonModule": true,
|
||||
"isolatedModules": true,
|
||||
"jsx": "preserve",
|
||||
"incremental": true,
|
||||
"baseUrl": "."
|
||||
},
|
||||
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", "**/*.d.ts", "../**/*.d.ts"],
|
||||
"exclude": ["node_modules"]
|
||||
}
|
||||
@@ -71,7 +71,7 @@ instance.interceptors.response.use(responseSuccess, (err) => Promise.reject(err)
|
||||
|
||||
export function request(url: string, data: any, config: ConfigType, method: Method): any {
|
||||
if (!global.systemEnv || !global.systemEnv?.pluginBaseUrl) {
|
||||
console.log('未部署商业版接口');
|
||||
console.log('未部署商业版接口', url);
|
||||
return Promise.reject('The The request was denied...');
|
||||
}
|
||||
|
||||
|
||||
95
packages/service/common/string/cheerio.ts
Normal file
@@ -0,0 +1,95 @@
|
||||
import { UrlFetchParams, UrlFetchResponse } from '@fastgpt/global/common/file/api';
|
||||
import * as cheerio from 'cheerio';
|
||||
import axios from 'axios';
|
||||
import { htmlToMarkdown } from './markdown';
|
||||
|
||||
export const cheerioToHtml = ({
|
||||
fetchUrl,
|
||||
$,
|
||||
selector
|
||||
}: {
|
||||
fetchUrl: string;
|
||||
$: cheerio.CheerioAPI;
|
||||
selector?: string;
|
||||
}) => {
|
||||
// get origin url
|
||||
const originUrl = new URL(fetchUrl).origin;
|
||||
|
||||
const selectDom = $(selector || 'body');
|
||||
|
||||
// remove i element
|
||||
selectDom.find('i,script').remove();
|
||||
|
||||
// remove empty a element
|
||||
selectDom
|
||||
.find('a')
|
||||
.filter((i, el) => {
|
||||
return $(el).text().trim() === '' && $(el).children().length === 0;
|
||||
})
|
||||
.remove();
|
||||
|
||||
// if link,img startWith /, add origin url
|
||||
selectDom.find('a').each((i, el) => {
|
||||
const href = $(el).attr('href');
|
||||
if (href && href.startsWith('/')) {
|
||||
$(el).attr('href', originUrl + href);
|
||||
}
|
||||
});
|
||||
selectDom.find('img').each((i, el) => {
|
||||
const src = $(el).attr('src');
|
||||
if (src && src.startsWith('/')) {
|
||||
$(el).attr('src', originUrl + src);
|
||||
}
|
||||
});
|
||||
|
||||
const html = selectDom
|
||||
.map((item, dom) => {
|
||||
return $(dom).html();
|
||||
})
|
||||
.get()
|
||||
.join('\n');
|
||||
|
||||
return html;
|
||||
};
|
||||
export const urlsFetch = async ({
|
||||
urlList,
|
||||
selector
|
||||
}: UrlFetchParams): Promise<UrlFetchResponse> => {
|
||||
urlList = urlList.filter((url) => /^(http|https):\/\/[^ "]+$/.test(url));
|
||||
|
||||
const response = (
|
||||
await Promise.all(
|
||||
urlList.map(async (url) => {
|
||||
try {
|
||||
const fetchRes = await axios.get(url, {
|
||||
timeout: 30000
|
||||
});
|
||||
|
||||
const $ = cheerio.load(fetchRes.data);
|
||||
|
||||
const md = await htmlToMarkdown(
|
||||
cheerioToHtml({
|
||||
fetchUrl: url,
|
||||
$,
|
||||
selector
|
||||
})
|
||||
);
|
||||
|
||||
return {
|
||||
url,
|
||||
content: md
|
||||
};
|
||||
} catch (error) {
|
||||
console.log(error, 'fetch error');
|
||||
|
||||
return {
|
||||
url,
|
||||
content: ''
|
||||
};
|
||||
}
|
||||
})
|
||||
)
|
||||
).filter((item) => item.content);
|
||||
|
||||
return response;
|
||||
};
|
||||
26
packages/service/common/string/markdown.ts
Normal file
@@ -0,0 +1,26 @@
|
||||
import { simpleMarkdownText } from '@fastgpt/global/common/string/markdown';
|
||||
import { Worker } from 'worker_threads';
|
||||
import { getWorkerPath } from './utils';
|
||||
|
||||
/* html string to markdown */
|
||||
export const htmlToMarkdown = (html?: string | null) =>
|
||||
new Promise<string>((resolve, reject) => {
|
||||
if (!html) return resolve('');
|
||||
|
||||
const start = Date.now();
|
||||
|
||||
// worker
|
||||
const worker = new Worker(getWorkerPath('html2md'));
|
||||
|
||||
worker.on('message', (md: string) => {
|
||||
worker.terminate();
|
||||
|
||||
resolve(simpleMarkdownText(md));
|
||||
});
|
||||
worker.on('error', (err) => {
|
||||
worker.terminate();
|
||||
reject(err);
|
||||
});
|
||||
|
||||
worker.postMessage(html);
|
||||
});
|
||||
9
packages/service/common/string/utils.ts
Normal file
@@ -0,0 +1,9 @@
|
||||
export const getWorkerPath = (name: string) => {
|
||||
// @ts-ignore
|
||||
const isSubModule = !!global?.systemConfig;
|
||||
|
||||
const isProd = process.env.NODE_ENV === 'production';
|
||||
return isProd
|
||||
? `/app/worker/${name}.js`
|
||||
: `../../${isSubModule ? 'FastGPT/' : ''}/worker/${name}.js`;
|
||||
};
|
||||
@@ -10,7 +10,7 @@ export async function createQuestionGuide({
|
||||
messages: ChatMessageItemType[];
|
||||
model: string;
|
||||
}) {
|
||||
const ai = getAIApi(undefined, 48000);
|
||||
const ai = getAIApi(undefined, 480000);
|
||||
const data = await ai.chat.completions.create({
|
||||
model: model,
|
||||
temperature: 0,
|
||||
|
||||
@@ -61,8 +61,8 @@ const ChatItemSchema = new Schema({
|
||||
userBadFeedback: {
|
||||
type: String
|
||||
},
|
||||
robotBadFeedback: {
|
||||
type: String
|
||||
customFeedbacks: {
|
||||
type: [String]
|
||||
},
|
||||
adminFeedback: {
|
||||
type: {
|
||||
@@ -86,7 +86,7 @@ try {
|
||||
ChatItemSchema.index({ chatId: 1 });
|
||||
ChatItemSchema.index({ userGoodFeedback: 1 });
|
||||
ChatItemSchema.index({ userBadFeedback: 1 });
|
||||
ChatItemSchema.index({ robotBadFeedback: 1 });
|
||||
ChatItemSchema.index({ customFeedbacks: 1 });
|
||||
ChatItemSchema.index({ adminFeedback: 1 });
|
||||
} catch (error) {
|
||||
console.log(error);
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import type { ChatItemType } from '@fastgpt/global/core/chat/type';
|
||||
import { MongoChatItem } from './chatItemSchema';
|
||||
import { addLog } from '../../common/system/log';
|
||||
|
||||
export async function getChatItems({
|
||||
chatId,
|
||||
@@ -20,3 +21,29 @@ export async function getChatItems({
|
||||
|
||||
return { history };
|
||||
}
|
||||
|
||||
export const addCustomFeedbacks = async ({
|
||||
chatId,
|
||||
chatItemId,
|
||||
feedbacks
|
||||
}: {
|
||||
chatId?: string;
|
||||
chatItemId?: string;
|
||||
feedbacks: string[];
|
||||
}) => {
|
||||
if (!chatId || !chatItemId) return;
|
||||
|
||||
try {
|
||||
await MongoChatItem.findOneAndUpdate(
|
||||
{
|
||||
chatId,
|
||||
dataId: chatItemId
|
||||
},
|
||||
{
|
||||
$push: { customFeedbacks: { $each: feedbacks } }
|
||||
}
|
||||
);
|
||||
} catch (error) {
|
||||
addLog.error('addCustomFeedbacks error', error);
|
||||
}
|
||||
};
|
||||
|
||||
@@ -4,7 +4,7 @@ import type { ParentTreePathItemType } from '@fastgpt/global/common/parentFolder
|
||||
import { DatasetErrEnum } from '@fastgpt/global/common/error/code/dataset';
|
||||
import { splitText2Chunks } from '@fastgpt/global/common/string/textSplitter';
|
||||
import { MongoDatasetTraining } from '../training/schema';
|
||||
import { urlsFetch } from '@fastgpt/global/common/file/tools';
|
||||
import { urlsFetch } from '../../../common/string/cheerio';
|
||||
import { DatasetCollectionTypeEnum } from '@fastgpt/global/core/dataset/constant';
|
||||
|
||||
/**
|
||||
@@ -105,7 +105,8 @@ export const loadingOneChunkCollection = async ({
|
||||
// split data
|
||||
const { chunks } = splitText2Chunks({
|
||||
text: newRawText,
|
||||
chunkLen: collection.chunkSize || 512
|
||||
chunkLen: collection.chunkSize || 512,
|
||||
countTokens: false
|
||||
});
|
||||
|
||||
// insert to training queue
|
||||
|
||||
@@ -1,9 +1,10 @@
|
||||
import { MongoPlugin } from './schema';
|
||||
import { FlowModuleTemplateType } from '@fastgpt/global/core/module/type';
|
||||
import { FlowNodeTypeEnum } from '@fastgpt/global/core/module/node/constant';
|
||||
import { formatPluginToPreviewModule } from '@fastgpt/global/core/module/utils';
|
||||
import { PluginType2TemplateTypeMap, PluginTypeEnum } from '@fastgpt/global/core/plugin/constants';
|
||||
import { plugin2ModuleIO } from '@fastgpt/global/core/module/utils';
|
||||
import { PluginSourceEnum } from '@fastgpt/global/core/plugin/constants';
|
||||
import type { PluginTemplateType } from '@fastgpt/global/core/plugin/type.d';
|
||||
import { ModuleTemplateTypeEnum } from '@fastgpt/global/core/module/constants';
|
||||
|
||||
/*
|
||||
plugin id rule:
|
||||
@@ -14,84 +15,72 @@ import type { PluginTemplateType } from '@fastgpt/global/core/plugin/type.d';
|
||||
|
||||
export async function splitCombinePluginId(id: string) {
|
||||
const splitRes = id.split('-');
|
||||
if (splitRes.length === 1 && id.length === 24) {
|
||||
if (splitRes.length === 1) {
|
||||
return {
|
||||
type: PluginTypeEnum.personal,
|
||||
source: PluginSourceEnum.personal,
|
||||
pluginId: id
|
||||
};
|
||||
}
|
||||
|
||||
const [type, pluginId] = id.split('-') as [`${PluginTypeEnum}`, string];
|
||||
if (!type || !pluginId) return Promise.reject('pluginId not found');
|
||||
const [source, pluginId] = id.split('-') as [`${PluginSourceEnum}`, string];
|
||||
if (!source || !pluginId) return Promise.reject('pluginId not found');
|
||||
|
||||
return { type, pluginId: id };
|
||||
return { source, pluginId: id };
|
||||
}
|
||||
|
||||
const getPluginTemplateById = async (id: string): Promise<PluginTemplateType> => {
|
||||
const { source, pluginId } = await splitCombinePluginId(id);
|
||||
if (source === PluginSourceEnum.community) {
|
||||
const item = global.communityPlugins?.find((plugin) => plugin.id === pluginId);
|
||||
if (!item) return Promise.reject('plugin not found');
|
||||
|
||||
return item;
|
||||
}
|
||||
if (source === PluginSourceEnum.personal) {
|
||||
const item = await MongoPlugin.findById(id).lean();
|
||||
if (!item) return Promise.reject('plugin not found');
|
||||
return {
|
||||
id: String(item._id),
|
||||
name: item.name,
|
||||
avatar: item.avatar,
|
||||
intro: item.intro,
|
||||
showStatus: true,
|
||||
source: PluginSourceEnum.personal,
|
||||
modules: item.modules,
|
||||
templateType: ModuleTemplateTypeEnum.personalPlugin
|
||||
};
|
||||
}
|
||||
return Promise.reject('plugin not found');
|
||||
};
|
||||
|
||||
/* format plugin modules to plugin preview module */
|
||||
export async function getPluginPreviewModule({
|
||||
id
|
||||
}: {
|
||||
id: string;
|
||||
}): Promise<FlowModuleTemplateType> {
|
||||
// classify
|
||||
const { type, pluginId } = await splitCombinePluginId(id);
|
||||
const plugin = await getPluginTemplateById(id);
|
||||
|
||||
const plugin = await (async () => {
|
||||
if (type === PluginTypeEnum.community) {
|
||||
return global.communityPlugins?.find((plugin) => plugin.id === pluginId);
|
||||
}
|
||||
if (type === PluginTypeEnum.personal) {
|
||||
const item = await MongoPlugin.findById(id);
|
||||
if (!item) return undefined;
|
||||
return {
|
||||
id: String(item._id),
|
||||
name: item.name,
|
||||
avatar: item.avatar,
|
||||
intro: item.intro,
|
||||
type: PluginTypeEnum.personal,
|
||||
modules: item.modules
|
||||
};
|
||||
}
|
||||
})();
|
||||
|
||||
if (!plugin) return Promise.reject('plugin not found');
|
||||
return {
|
||||
id: plugin.id,
|
||||
templateType: PluginType2TemplateTypeMap[plugin.type],
|
||||
templateType: plugin.templateType,
|
||||
flowType: FlowNodeTypeEnum.pluginModule,
|
||||
avatar: plugin.avatar,
|
||||
name: plugin.name,
|
||||
intro: plugin.intro,
|
||||
showStatus: true,
|
||||
...formatPluginToPreviewModule(plugin.id, plugin.modules)
|
||||
showStatus: plugin.showStatus,
|
||||
...plugin2ModuleIO(plugin.id, plugin.modules)
|
||||
};
|
||||
}
|
||||
|
||||
/* run plugin time */
|
||||
export async function getPluginRuntimeById(id: string): Promise<PluginTemplateType> {
|
||||
const { type, pluginId } = await splitCombinePluginId(id);
|
||||
|
||||
const plugin = await (async () => {
|
||||
if (type === PluginTypeEnum.community) {
|
||||
return global.communityPlugins?.find((plugin) => plugin.id === pluginId);
|
||||
}
|
||||
if (type === PluginTypeEnum.personal) {
|
||||
const item = await MongoPlugin.findById(id);
|
||||
if (!item) return undefined;
|
||||
return {
|
||||
id: String(item._id),
|
||||
name: item.name,
|
||||
avatar: item.avatar,
|
||||
intro: item.intro,
|
||||
type: PluginTypeEnum.personal,
|
||||
modules: item.modules
|
||||
};
|
||||
}
|
||||
})();
|
||||
|
||||
if (!plugin) return Promise.reject('plugin not found');
|
||||
const plugin = await getPluginTemplateById(id);
|
||||
|
||||
return {
|
||||
id: plugin.id,
|
||||
type: plugin.type,
|
||||
source: plugin.source,
|
||||
templateType: plugin.templateType,
|
||||
name: plugin.name,
|
||||
avatar: plugin.avatar,
|
||||
intro: plugin.intro,
|
||||
|
||||
@@ -3,22 +3,24 @@
|
||||
"version": "1.0.0",
|
||||
"dependencies": {
|
||||
"@fastgpt/global": "workspace:*",
|
||||
"axios": "^1.5.1",
|
||||
"cookie": "^0.5.0",
|
||||
"encoding": "^0.1.13",
|
||||
"jsonwebtoken": "^9.0.2",
|
||||
"mongoose": "^7.0.2",
|
||||
"nanoid": "^4.0.1",
|
||||
"dayjs": "^1.11.7",
|
||||
"next": "13.5.2",
|
||||
"multer": "1.4.5-lts.1",
|
||||
"axios": "^1.5.1",
|
||||
"cheerio": "1.0.0-rc.12",
|
||||
"nextjs-cors": "^2.1.2",
|
||||
"pg": "^8.10.0",
|
||||
"tunnel": "^0.0.6",
|
||||
"dayjs": "^1.11.7"
|
||||
"tunnel": "^0.0.6"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/cookie": "^0.5.2",
|
||||
"@types/jsonwebtoken": "^9.0.3",
|
||||
"@types/node": "^20.8.5",
|
||||
"@types/multer": "^1.4.10",
|
||||
"@types/pg": "^8.6.6",
|
||||
"@types/tunnel": "^0.0.4"
|
||||
}
|
||||
|
||||
@@ -31,3 +31,11 @@ export async function authCertOrShareId({
|
||||
canWrite: false
|
||||
};
|
||||
}
|
||||
|
||||
/* auth the request from local service */
|
||||
export const authRequestFromLocal = ({ req }: AuthModeType) => {
|
||||
const host = `${process.env.HOSTNAME || 'localhost'}:${process.env.PORT || 3000}`;
|
||||
if (host !== req.headers.host) {
|
||||
return Promise.reject('Invalid request');
|
||||
}
|
||||
};
|
||||
|
||||
@@ -7,7 +7,7 @@ import { MongoPlugin } from '../../../core/plugin/schema';
|
||||
import { PluginErrEnum } from '@fastgpt/global/common/error/code/plugin';
|
||||
import { PluginItemSchema } from '@fastgpt/global/core/plugin/type';
|
||||
import { splitCombinePluginId } from '../../../core/plugin/controller';
|
||||
import { PluginTypeEnum } from '@fastgpt/global/core/plugin/constants';
|
||||
import { PluginSourceEnum } from '@fastgpt/global/core/plugin/constants';
|
||||
|
||||
export async function authPluginCrud({
|
||||
id,
|
||||
@@ -66,13 +66,13 @@ export async function authPluginCanUse({
|
||||
teamId: string;
|
||||
tmbId: string;
|
||||
}) {
|
||||
const { type, pluginId } = await splitCombinePluginId(id);
|
||||
const { source, pluginId } = await splitCombinePluginId(id);
|
||||
|
||||
if (type === PluginTypeEnum.community) {
|
||||
if (source === PluginSourceEnum.community) {
|
||||
return true;
|
||||
}
|
||||
|
||||
if (type === PluginTypeEnum.personal) {
|
||||
if (source === PluginSourceEnum.personal) {
|
||||
const { role } = await getTeamInfoByTmbId({ tmbId });
|
||||
const plugin = await MongoPlugin.findOne({ _id: pluginId, teamId });
|
||||
if (!plugin) {
|
||||
|
||||
@@ -1,8 +1,6 @@
|
||||
{
|
||||
"name": "@fastgpt/web",
|
||||
"version": "1.0.0",
|
||||
"dependencies": {
|
||||
"axios": "^1.5.1"
|
||||
},
|
||||
"dependencies": {},
|
||||
"devDependencies": {}
|
||||
}
|
||||
|
||||
3791
pnpm-lock.yaml
generated
@@ -6,10 +6,10 @@
|
||||
module.exports = {
|
||||
i18n: {
|
||||
defaultLocale: 'zh',
|
||||
locales: ['en', 'zh', 'zh-Hans', 'zh-CN'],
|
||||
localeDetection: false
|
||||
locales: ['en', 'zh'],
|
||||
localeDetection: true
|
||||
},
|
||||
localePath:
|
||||
typeof window === 'undefined' ? require('path').resolve('./public/locales') : '/locales',
|
||||
typeof window === 'undefined' ? require('path').resolve('./public/locales') : '/public/locales',
|
||||
reloadOnPrerender: process.env.NODE_ENV === 'development'
|
||||
};
|
||||
|
||||
@@ -45,7 +45,7 @@ const nextConfig = {
|
||||
},
|
||||
transpilePackages: ['@fastgpt/*'],
|
||||
experimental: {
|
||||
serverComponentsExternalPackages: ['mongoose', 'winston', 'winston-mongodb', 'pg'],
|
||||
serverComponentsExternalPackages: ['mongoose', 'pg'],
|
||||
outputFileTracingRoot: path.join(__dirname, '../../')
|
||||
}
|
||||
};
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "app",
|
||||
"version": "4.6.4",
|
||||
"version": "4.6.5",
|
||||
"private": false,
|
||||
"scripts": {
|
||||
"dev": "next dev",
|
||||
@@ -10,45 +10,39 @@
|
||||
},
|
||||
"dependencies": {
|
||||
"@chakra-ui/anatomy": "^2.2.1",
|
||||
"@chakra-ui/icons": "^2.0.17",
|
||||
"@chakra-ui/react": "^2.7.0",
|
||||
"@chakra-ui/icons": "^2.1.1",
|
||||
"@chakra-ui/next-js": "^2.1.5",
|
||||
"@chakra-ui/react": "^2.8.1",
|
||||
"@chakra-ui/styled-system": "^2.9.1",
|
||||
"@chakra-ui/system": "^2.5.8",
|
||||
"@emotion/react": "^11.10.6",
|
||||
"@emotion/styled": "^11.10.6",
|
||||
"@chakra-ui/system": "^2.6.1",
|
||||
"@emotion/react": "^11.11.1",
|
||||
"@emotion/styled": "^11.11.0",
|
||||
"@fastgpt/plugins": "workspace:*",
|
||||
"@fastgpt/global": "workspace:*",
|
||||
"@fastgpt/service": "workspace:*",
|
||||
"@fastgpt/web": "workspace:*",
|
||||
"@node-rs/jieba": "^1.7.2",
|
||||
"@tanstack/react-query": "^4.24.10",
|
||||
"@types/nprogress": "^0.2.0",
|
||||
"axios": "^1.5.1",
|
||||
"date-fns": "^2.30.0",
|
||||
"dayjs": "^1.11.7",
|
||||
"downloadjs": "^1.4.7",
|
||||
"echarts": "^5.4.1",
|
||||
"next": "13.5.2",
|
||||
"echarts-gl": "^2.0.9",
|
||||
"formidable": "^2.1.1",
|
||||
"framer-motion": "^9.0.6",
|
||||
"hyperdown": "^2.4.29",
|
||||
"i18next": "^22.5.1",
|
||||
"immer": "^9.0.19",
|
||||
"jschardet": "^3.0.0",
|
||||
"jsonwebtoken": "^9.0.2",
|
||||
"lodash": "^4.17.21",
|
||||
"mammoth": "^1.6.0",
|
||||
"mermaid": "^10.2.3",
|
||||
"multer": "1.4.5-lts.1",
|
||||
"nanoid": "^4.0.1",
|
||||
"next": "13.5.2",
|
||||
"next-i18next": "^13.3.0",
|
||||
"nprogress": "^0.2.0",
|
||||
"papaparse": "^5.4.1",
|
||||
"react": "18.2.0",
|
||||
"react-day-picker": "^8.7.1",
|
||||
"react-dom": "18.2.0",
|
||||
"react-hook-form": "^7.43.1",
|
||||
"react-i18next": "^12.3.1",
|
||||
"react-markdown": "^8.0.7",
|
||||
"react-syntax-highlighter": "^15.5.0",
|
||||
"reactflow": "^11.7.4",
|
||||
@@ -58,28 +52,28 @@
|
||||
"remark-math": "^5.1.1",
|
||||
"request-ip": "^3.3.0",
|
||||
"sass": "^1.58.3",
|
||||
"zustand": "^4.3.5"
|
||||
"zustand": "^4.3.5",
|
||||
"i18next": "^22.5.1",
|
||||
"next-i18next": "^13.3.0",
|
||||
"react-i18next": "^12.3.1",
|
||||
"axios": "^1.5.1",
|
||||
"nanoid": "^4.0.1",
|
||||
"dayjs": "^1.11.7"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@svgr/webpack": "^6.5.1",
|
||||
"@types/downloadjs": "^1.4.3",
|
||||
"@types/formidable": "^2.0.5",
|
||||
"@types/js-cookie": "^3.0.3",
|
||||
"@types/jsonwebtoken": "^9.0.3",
|
||||
"@types/lodash": "^4.14.191",
|
||||
"@types/multer": "^1.4.10",
|
||||
"@types/node": "^20.8.5",
|
||||
"@types/papaparse": "^5.3.7",
|
||||
"@types/react": "18.0.28",
|
||||
"@types/react-dom": "18.0.11",
|
||||
"@types/react": "18.2.0",
|
||||
"@types/react-dom": "18.2.0",
|
||||
"@types/react-syntax-highlighter": "^15.5.6",
|
||||
"@types/request-ip": "^0.0.37",
|
||||
"eslint": "8.34.0",
|
||||
"eslint-config-next": "13.1.6",
|
||||
"typescript": "4.9.5"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18.0.0",
|
||||
"pnpm": ">=8.6.0"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -5,7 +5,7 @@
|
||||
3. 新增 - 分享链接更多嵌入方式提示,更多DIY方式。
|
||||
4. 优化 - 历史记录模块。弃用旧的历史记录模块,直接在对应地方填写数值即可。
|
||||
5. 调整 - 知识库搜索模块 topk 逻辑,采用 MaxToken 计算,兼容不同长度的文本块
|
||||
6. 链接读取支持多选择器。参考[Web 站点同步用法](https://doc.fastgpt.in/docs/course/webSync)
|
||||
6. 链接读取支持多选择器。参考[Web 站点同步用法](https://doc.fastgpt.in/docs/course/websync)
|
||||
7. [知识库结构详解](https://doc.fastgpt.in/docs/use-cases/datasetengine/)
|
||||
8. [知识库提示词详解](https://doc.fastgpt.in/docs/use-cases/ai_settings/#引用模板--引用提示词)
|
||||
9. [使用文档](https://doc.fastgpt.in/docs/intro/)
|
||||
|
||||
1
projects/app/public/imgs/module/customFeedback.svg
Normal file
@@ -0,0 +1 @@
|
||||
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|
||||
|
After Width: | Height: | Size: 1.9 KiB |
1
projects/app/public/imgs/module/textEditor.svg
Normal file
@@ -0,0 +1 @@
|
||||
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|
||||
|
After Width: | Height: | Size: 2.5 KiB |
1
projects/app/public/imgs/module/tfSwitch.svg
Normal file
@@ -0,0 +1 @@
|
||||
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|
||||
|
After Width: | Height: | Size: 2.2 KiB |
@@ -22,7 +22,6 @@
|
||||
"Chat Logs Tips": "Logs record the app's online, shared, and API(chatId is existing) conversations",
|
||||
"Chat logs": "Chat Logs",
|
||||
"Confirm Del App Tip": "Confirm to delete the app and all its chats",
|
||||
"Confirm Save App Tip": "The application may be in advanced orchestration mode, and the advanced orchestration configuration will be overwritten after saving, please confirm!",
|
||||
"Connection is invalid": "Connecting is invalid",
|
||||
"Connection type is different": "Connection type is different",
|
||||
"Copy Module Config": "Copy config",
|
||||
@@ -52,7 +51,7 @@
|
||||
"My Modules": "My Custom Modules",
|
||||
"No Modules": "No module",
|
||||
"System Module": "System Module",
|
||||
"type": "{{type}}\n{{example}}"
|
||||
"type": "{{type}}\n{{description}}"
|
||||
},
|
||||
"modules": {
|
||||
"Title is required": "Title is required"
|
||||
@@ -89,32 +88,6 @@
|
||||
"share": "Share",
|
||||
"test": "Test Chat "
|
||||
},
|
||||
"response": {
|
||||
"module cq": "Question classification list",
|
||||
"module cq result": "Classification Result",
|
||||
"module extract description": "Extract Description",
|
||||
"module extract result": "Extract Result",
|
||||
"module historyPreview": "Messages",
|
||||
"module http body": "Body",
|
||||
"module http result": "Response",
|
||||
"module http url": "Request Url",
|
||||
"module limit": "Count Limit",
|
||||
"module maxToken": "MaxTokens",
|
||||
"module model": "Model",
|
||||
"module name": "Name",
|
||||
"module price": "Price",
|
||||
"module query": "Question/Query",
|
||||
"module question": "Question",
|
||||
"module quoteList": "Quotes",
|
||||
"module runningTime": "Time",
|
||||
"module search query": "Query",
|
||||
"module search response": "Search Result",
|
||||
"module similarity": "Similarity",
|
||||
"module temperature": "Temperature",
|
||||
"module time": "Running Time",
|
||||
"module tokens": "Tokens",
|
||||
"plugin output": "Plugin Output"
|
||||
},
|
||||
"retry": "Retry"
|
||||
},
|
||||
"common": {
|
||||
@@ -239,6 +212,11 @@
|
||||
"system": {
|
||||
"Help Chatbot": "Chatbot Helper",
|
||||
"Use Helper": "UsingHelp"
|
||||
},
|
||||
"ui": {
|
||||
"textarea": {
|
||||
"Magnifying": "Magnifying"
|
||||
}
|
||||
}
|
||||
},
|
||||
"core": {
|
||||
@@ -262,6 +240,17 @@
|
||||
"TTS Tip": "After this function is enabled, the voice playback function can be used after each conversation. Use of this feature may incur additional charges.",
|
||||
"Welcome Text": "Welcome Text",
|
||||
"create app": "Create App",
|
||||
"edit": {
|
||||
"Confirm Save App Tip": "The application may be in advanced orchestration mode, and the advanced orchestration configuration will be overwritten after saving, please confirm!",
|
||||
"Out Ad Edit": "You are about to exit the Advanced orchestration page, please confirm",
|
||||
"Prompt Editor": "Prompt Editor",
|
||||
"Save and out": "Save out",
|
||||
"UnSave": "UnSave"
|
||||
},
|
||||
"feedback": {
|
||||
"Custom feedback": "Custom feedback",
|
||||
"close custom feedback": "Close Feedback"
|
||||
},
|
||||
"logs": {
|
||||
"Source And Time": "Source & Time"
|
||||
},
|
||||
@@ -325,6 +314,34 @@
|
||||
"Read Quote": "Read Quote",
|
||||
"Read Source": "Read Source"
|
||||
},
|
||||
"response": {
|
||||
"context total length": "Context Length",
|
||||
"module cq": "Question classification list",
|
||||
"module cq result": "Classification Result",
|
||||
"module extract description": "Extract Description",
|
||||
"module extract result": "Extract Result",
|
||||
"module historyPreview": "Messages",
|
||||
"module http body": "Body",
|
||||
"module http result": "Response",
|
||||
"module http url": "Request Url",
|
||||
"module limit": "Count Limit",
|
||||
"module maxToken": "MaxTokens",
|
||||
"module model": "Model",
|
||||
"module name": "Name",
|
||||
"module price": "Price",
|
||||
"module query": "Question/Query",
|
||||
"module question": "Question",
|
||||
"module quoteList": "Quotes",
|
||||
"module runningTime": "Time",
|
||||
"module search query": "Query",
|
||||
"module search response": "Search Result",
|
||||
"module similarity": "Similarity",
|
||||
"module temperature": "Temperature",
|
||||
"module time": "Running Time",
|
||||
"module tokens": "Tokens",
|
||||
"plugin output": "Plugin Output",
|
||||
"text output": "Text Output"
|
||||
},
|
||||
"tts": {
|
||||
"Stop Speech": "Stop"
|
||||
}
|
||||
@@ -506,14 +523,42 @@
|
||||
"Plugin output must connect": "Custom outputs must all be connected",
|
||||
"Variable": "Variable",
|
||||
"Variable Setting": "Variable Setting",
|
||||
"edit": {
|
||||
"Field Already Exist": "Key already exist",
|
||||
"Field Edit": "Field Edit"
|
||||
},
|
||||
"extract": {
|
||||
"Enum Description": "Lists the possible values for the field, one per row",
|
||||
"Enum Value": "Enum",
|
||||
"Field Description Placeholder": "Name/age /sql statement......",
|
||||
"Field Setting Title": "Extract field configuration"
|
||||
},
|
||||
"input": {
|
||||
"Add Input": "Add Input",
|
||||
"Input Number": "Input: {{length}}",
|
||||
"description": {
|
||||
"Http Request Header": "",
|
||||
"Http Request Url": "",
|
||||
"TFSwitch textarea": "",
|
||||
"anyInput": "",
|
||||
"dynamic input": "",
|
||||
"textEditor textarea": "The passed variable can be referenced by {{key}}."
|
||||
},
|
||||
"label": {
|
||||
"chat history": "",
|
||||
"switch": "",
|
||||
"user question": ""
|
||||
"Http Request Header": "",
|
||||
"Http Request Method": "",
|
||||
"Http Request Url": "",
|
||||
"TFSwitch textarea": "",
|
||||
"anyInput": "",
|
||||
"chat history": "chat history",
|
||||
"switch": "Switch",
|
||||
"textEditor textarea": "Text Edit",
|
||||
"user question": "User question"
|
||||
}
|
||||
},
|
||||
"inputType": {
|
||||
"chat history": "History",
|
||||
"dynamicTargetInput": "dynamic Target Input",
|
||||
"input": "Input",
|
||||
"selectApp": "App Selector",
|
||||
"selectChatModel": "Select Chat Model",
|
||||
@@ -523,18 +568,34 @@
|
||||
"textarea": "Textarea"
|
||||
},
|
||||
"output": {
|
||||
"Add Output": "Add Output",
|
||||
"Output Number": "Output: {{length}}",
|
||||
"description": {
|
||||
"running done": "running done"
|
||||
"running done": "Triggered when the module call ends"
|
||||
},
|
||||
"label": {
|
||||
"running done": "running done"
|
||||
"result false": "",
|
||||
"result true": "",
|
||||
"running done": "End of module call ",
|
||||
"text": "Text output"
|
||||
}
|
||||
},
|
||||
"template": {
|
||||
"TFSwitch": "",
|
||||
"TFSwitch intro": "",
|
||||
"UnKnow Module": "UnKnow Module",
|
||||
"textEditor": "Text Editor",
|
||||
"textEditor intro": "Output of fixed or incoming text after edit"
|
||||
},
|
||||
"textEditor": {
|
||||
"Text Edit": "Text Edit"
|
||||
},
|
||||
"valueType": {
|
||||
"any": "Any",
|
||||
"boolean": "Boolean",
|
||||
"chatHistory": "History",
|
||||
"datasetQuote": "Dataset Quote",
|
||||
"dynamicTargetInput": "Dynamic Input",
|
||||
"number": "Number",
|
||||
"selectApp": "Select App",
|
||||
"selectDataset": "Select Dataset",
|
||||
|
||||
@@ -22,7 +22,6 @@
|
||||
"Chat Logs Tips": "日志会记录该应用的在线、分享和 API(需填写 chatId) 对话记录",
|
||||
"Chat logs": "对话日志",
|
||||
"Confirm Del App Tip": "确认删除该应用及其所有聊天记录?",
|
||||
"Confirm Save App Tip": "该应用可能为高级编排模式,保存后将会覆盖高级编排配置,请确认!",
|
||||
"Connection is invalid": "连接无效",
|
||||
"Connection type is different": "连接的类型不一致",
|
||||
"Copy Module Config": "复制配置",
|
||||
@@ -52,7 +51,7 @@
|
||||
"My Modules": "",
|
||||
"No Modules": "还没有模块~",
|
||||
"System Module": "系统模块",
|
||||
"type": "\"{{type}}\"类型\n{{example}}"
|
||||
"type": "\"{{type}}\"类型\n{{description}}"
|
||||
},
|
||||
"modules": {
|
||||
"Title is required": "模块名不能为空"
|
||||
@@ -89,32 +88,6 @@
|
||||
"share": "外部链接调用",
|
||||
"test": "测试"
|
||||
},
|
||||
"response": {
|
||||
"module cq": "问题分类列表",
|
||||
"module cq result": "分类结果",
|
||||
"module extract description": "提取要求描述",
|
||||
"module extract result": "提取结果",
|
||||
"module historyPreview": "完整记录",
|
||||
"module http body": "请求体",
|
||||
"module http result": "响应体",
|
||||
"module http url": "请求地址",
|
||||
"module limit": "单次搜索上限",
|
||||
"module maxToken": "最大 Tokens",
|
||||
"module model": "模型",
|
||||
"module name": "模型名",
|
||||
"module price": "计费",
|
||||
"module query": "问题/检索词",
|
||||
"module question": "问题",
|
||||
"module quoteList": "引用内容",
|
||||
"module runningTime": "运行时长",
|
||||
"module search query": "检索词",
|
||||
"module search response": "搜索结果",
|
||||
"module similarity": "相似度",
|
||||
"module temperature": "温度",
|
||||
"module time": "运行时长",
|
||||
"module tokens": "Tokens",
|
||||
"plugin output": "插件输出值"
|
||||
},
|
||||
"retry": "重新生成"
|
||||
},
|
||||
"common": {
|
||||
@@ -239,6 +212,11 @@
|
||||
"system": {
|
||||
"Help Chatbot": "机器人助手",
|
||||
"Use Helper": "使用帮助"
|
||||
},
|
||||
"ui": {
|
||||
"textarea": {
|
||||
"Magnifying": "放大"
|
||||
}
|
||||
}
|
||||
},
|
||||
"core": {
|
||||
@@ -262,6 +240,17 @@
|
||||
"TTS Tip": "开启后,每次对话后可使用语音播放功能。使用该功能可能产生额外费用。",
|
||||
"Welcome Text": "对话开场白",
|
||||
"create app": "创建属于你的 AI 应用",
|
||||
"edit": {
|
||||
"Confirm Save App Tip": "该应用可能为高级编排模式,保存后将会覆盖高级编排配置,请确认!",
|
||||
"Out Ad Edit": "您即将退出高级编排页面,请确认",
|
||||
"Prompt Editor": "提示词编辑",
|
||||
"Save and out": "保存并退出",
|
||||
"UnSave": "不保存"
|
||||
},
|
||||
"feedback": {
|
||||
"Custom feedback": "自定义反馈",
|
||||
"close custom feedback": "关闭反馈"
|
||||
},
|
||||
"logs": {
|
||||
"Source And Time": "来源 & 时间"
|
||||
},
|
||||
@@ -325,6 +314,34 @@
|
||||
"Read Quote": "查看引用",
|
||||
"Read Source": "查看来源"
|
||||
},
|
||||
"response": {
|
||||
"context total length": "上下文总长度",
|
||||
"module cq": "问题分类列表",
|
||||
"module cq result": "分类结果",
|
||||
"module extract description": "提取要求描述",
|
||||
"module extract result": "提取结果",
|
||||
"module historyPreview": "完整记录",
|
||||
"module http body": "请求体",
|
||||
"module http result": "响应体",
|
||||
"module http url": "请求地址",
|
||||
"module limit": "单次搜索上限",
|
||||
"module maxToken": "最大 Tokens",
|
||||
"module model": "模型",
|
||||
"module name": "模型名",
|
||||
"module price": "计费",
|
||||
"module query": "问题/检索词",
|
||||
"module question": "问题",
|
||||
"module quoteList": "引用内容",
|
||||
"module runningTime": "运行时长",
|
||||
"module search query": "检索词",
|
||||
"module search response": "搜索结果",
|
||||
"module similarity": "相似度",
|
||||
"module temperature": "温度",
|
||||
"module time": "运行时长",
|
||||
"module tokens": "Tokens",
|
||||
"plugin output": "插件输出值",
|
||||
"text output": "文本输出"
|
||||
},
|
||||
"tts": {
|
||||
"Stop Speech": "停止"
|
||||
}
|
||||
@@ -506,14 +523,42 @@
|
||||
"Plugin output must connect": "自定义输出必须全部连接",
|
||||
"Variable": "参数变量",
|
||||
"Variable Setting": "变量设置",
|
||||
"edit": {
|
||||
"Field Already Exist": "key 重复",
|
||||
"Field Edit": "字段编辑"
|
||||
},
|
||||
"extract": {
|
||||
"Enum Description": "列举出该字段可能的值,每行一个",
|
||||
"Enum Value": "枚举值",
|
||||
"Field Description Placeholder": "姓名/年龄/sql语句……",
|
||||
"Field Setting Title": "提取字段配置"
|
||||
},
|
||||
"input": {
|
||||
"Add Input": "添加入参",
|
||||
"Input Number": "入参: {{length}}",
|
||||
"description": {
|
||||
"Http Request Header": "自定义请求头,请严格填入JSON字符串。\n1. 确保最后一个属性没有逗号\n2. 确保 key 包含双引号\n例如: {\"Authorization\":\"Bearer xxx\"}",
|
||||
"Http Request Url": "新的HTTP请求地址。如果出现两个“请求地址”,可以删除该模块重新加入,会拉取最新的模块配置。",
|
||||
"TFSwitch textarea": "允许定义一些字符串来实现 false 匹配,每行一个,支持正则表达式。",
|
||||
"anyInput": "可传入任意内容",
|
||||
"dynamic input": "接收用户动态添加的参数,会在运行时将这些参数平铺传入",
|
||||
"textEditor textarea": "可以通过 {{key}} 的方式引用传入的变量。变量仅支持字符串或数字。"
|
||||
},
|
||||
"label": {
|
||||
"Http Request Header": "请求头",
|
||||
"Http Request Method": "请求方式",
|
||||
"Http Request Url": "请求地址",
|
||||
"TFSwitch textarea": "自定义 False 匹配规则",
|
||||
"anyInput": "任意内容输入",
|
||||
"chat history": "聊天记录",
|
||||
"switch": "触发器",
|
||||
"textEditor textarea": "文本编辑",
|
||||
"user question": "用户问题"
|
||||
}
|
||||
},
|
||||
"inputType": {
|
||||
"chat history": "历史记录",
|
||||
"dynamicTargetInput": "动态外部数据",
|
||||
"input": "输入框",
|
||||
"selectApp": "应用选择",
|
||||
"selectChatModel": "对话模型选择",
|
||||
@@ -523,18 +568,34 @@
|
||||
"textarea": "段落输入"
|
||||
},
|
||||
"output": {
|
||||
"Add Output": "添加出参",
|
||||
"Output Number": "出参: {{length}}",
|
||||
"description": {
|
||||
"running done": "模块调用结束时触发"
|
||||
},
|
||||
"label": {
|
||||
"running done": "模块调用结束"
|
||||
"result false": "False",
|
||||
"result true": "True",
|
||||
"running done": "模块调用结束",
|
||||
"text": "文本输出"
|
||||
}
|
||||
},
|
||||
"template": {
|
||||
"TFSwitch": "判断器",
|
||||
"TFSwitch intro": "根据传入的内容进行 True False 输出。默认情况下,当传入的内容为 false, undefined, null, 0, none 时,会输出 false。你也可以增加一些自定义的字符串来补充输出 false 的内容。",
|
||||
"UnKnow Module": "未知模块",
|
||||
"textEditor": "文本加工",
|
||||
"textEditor intro": "可对固定或传入的文本进行加工后输出"
|
||||
},
|
||||
"textEditor": {
|
||||
"Text Edit": "文本加工"
|
||||
},
|
||||
"valueType": {
|
||||
"any": "任意",
|
||||
"boolean": "布尔",
|
||||
"chatHistory": "聊天记录",
|
||||
"datasetQuote": "引用内容",
|
||||
"dynamicTargetInput": "动态字段输入",
|
||||
"number": "数字",
|
||||
"selectApp": "应用选择",
|
||||
"selectDataset": "知识库选择",
|
||||
|
||||
@@ -0,0 +1,32 @@
|
||||
## 插件类型
|
||||
|
||||
xxx.json 文件
|
||||
|
||||
```ts
|
||||
type TemplateType =
|
||||
| 'userGuide'
|
||||
| 'systemInput'
|
||||
| 'tools'
|
||||
| 'textAnswer'
|
||||
| 'functionCall'
|
||||
| 'externalCall'
|
||||
| 'other';
|
||||
|
||||
type pluginType = {
|
||||
author: string; // 填写作者信息
|
||||
templateType: FlowModuleTemplateType['templateType'];
|
||||
name: string;
|
||||
avatar: string;
|
||||
intro: string;
|
||||
showStatus?: boolean; // 是否需要展示组件运行状态
|
||||
modules: []; //直接从高级编排导出配置复制过来;
|
||||
};
|
||||
```
|
||||
|
||||
## 额外代码怎么写?
|
||||
|
||||
参考 `TFSwitch` 和 `TextEditor`,通过 HTTP 模块将数据转到一个接口中实现。提交到社区的插件,务必将所有代码都放置在 FastGPT 仓库中,可以在 `projects/app/src/pages/api/plugins` 下新建一个与**插件文件名相同**的子目录进行接口编辑。
|
||||
|
||||
## 需要装包怎么办?
|
||||
|
||||
可以在 `packages/plugins` 下创建一个与**插件文件名相同**的子目录进行编写,可在 plugins 目录下安装相关依赖。然后在 FastGPT 主项目的接口中通过 `@fastgpt/plugins/xxx` 引入。
|
||||
|
||||
319
projects/app/public/pluginTemplates/customFeedback.json
Normal file
@@ -0,0 +1,319 @@
|
||||
{
|
||||
"author": "FastGPT Team",
|
||||
"templateType": "other",
|
||||
"name": "自定义反馈",
|
||||
"avatar": "/imgs/module/customFeedback.svg",
|
||||
"intro": "该模块被触发时,会给当前的对话记录增加一条反馈。可用于自动记录对话效果等。",
|
||||
"showStatus": false,
|
||||
"modules": [
|
||||
{
|
||||
"moduleId": "w90mfp",
|
||||
"name": "定义插件输入",
|
||||
"avatar": "/imgs/module/input.png",
|
||||
"flowType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 515.1887815471657,
|
||||
"y": -169.04905809653783
|
||||
},
|
||||
"inputs": [
|
||||
{
|
||||
"key": "defaultFeedback",
|
||||
"valueType": "string",
|
||||
"label": "默认反馈内容",
|
||||
"type": "textarea",
|
||||
"required": false,
|
||||
"description": "",
|
||||
"edit": true,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"required": true,
|
||||
"dataType": true,
|
||||
"inputType": true
|
||||
},
|
||||
"connected": true
|
||||
},
|
||||
{
|
||||
"key": "customFeedback",
|
||||
"valueType": "string",
|
||||
"label": "自定义反馈内容",
|
||||
"type": "target",
|
||||
"required": false,
|
||||
"description": "",
|
||||
"edit": true,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"required": true,
|
||||
"dataType": true,
|
||||
"inputType": true
|
||||
},
|
||||
"connected": true
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"key": "defaultFeedback",
|
||||
"valueType": "string",
|
||||
"label": "默认反馈内容",
|
||||
"type": "source",
|
||||
"edit": true,
|
||||
"targets": [
|
||||
{
|
||||
"moduleId": "49de3g",
|
||||
"key": "defaultFeedback"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"key": "customFeedback",
|
||||
"valueType": "string",
|
||||
"label": "自定义反馈内容",
|
||||
"type": "source",
|
||||
"edit": true,
|
||||
"targets": [
|
||||
{
|
||||
"moduleId": "49de3g",
|
||||
"key": "customFeedback"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"moduleId": "49de3g",
|
||||
"name": "HTTP模块",
|
||||
"avatar": "/imgs/module/http.png",
|
||||
"flowType": "httpRequest",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
"x": 1086.8929621216014,
|
||||
"y": -451.7550009773506
|
||||
},
|
||||
"inputs": [
|
||||
{
|
||||
"key": "switch",
|
||||
"type": "target",
|
||||
"label": "core.module.input.label.switch",
|
||||
"valueType": "any",
|
||||
"showTargetInApp": true,
|
||||
"showTargetInPlugin": true,
|
||||
"connected": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
"type": "select",
|
||||
"valueType": "string",
|
||||
"label": "core.module.input.label.Http Request Method",
|
||||
"value": "POST",
|
||||
"list": [
|
||||
{
|
||||
"label": "GET",
|
||||
"value": "GET"
|
||||
},
|
||||
{
|
||||
"label": "POST",
|
||||
"value": "POST"
|
||||
}
|
||||
],
|
||||
"required": true,
|
||||
"showTargetInApp": false,
|
||||
"showTargetInPlugin": false,
|
||||
"connected": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"type": "input",
|
||||
"valueType": "string",
|
||||
"label": "core.module.input.label.Http Request Url",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"showTargetInApp": false,
|
||||
"showTargetInPlugin": false,
|
||||
"value": "/api/plugins/customFeedback",
|
||||
"connected": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
"type": "textarea",
|
||||
"valueType": "string",
|
||||
"label": "core.module.input.label.Http Request Header",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false,
|
||||
"showTargetInApp": false,
|
||||
"showTargetInPlugin": false,
|
||||
"value": "",
|
||||
"connected": false
|
||||
},
|
||||
{
|
||||
"key": "DYNAMIC_INPUT_KEY",
|
||||
"type": "target",
|
||||
"valueType": "any",
|
||||
"label": "core.module.inputType.dynamicTargetInput",
|
||||
"description": "core.module.input.description.dynamic input",
|
||||
"required": false,
|
||||
"showTargetInApp": false,
|
||||
"showTargetInPlugin": true,
|
||||
"hideInApp": true,
|
||||
"connected": false
|
||||
},
|
||||
{
|
||||
"valueType": "string",
|
||||
"label": "defaultFeedback",
|
||||
"type": "target",
|
||||
"required": true,
|
||||
"description": "",
|
||||
"edit": true,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"required": true,
|
||||
"dataType": true
|
||||
},
|
||||
"connected": true,
|
||||
"key": "defaultFeedback"
|
||||
},
|
||||
{
|
||||
"key": "customFeedback",
|
||||
"valueType": "string",
|
||||
"label": "customFeedback",
|
||||
"type": "target",
|
||||
"required": true,
|
||||
"description": "",
|
||||
"edit": true,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"required": true,
|
||||
"dataType": true
|
||||
},
|
||||
"connected": true
|
||||
},
|
||||
{
|
||||
"key": "system_addInputParam",
|
||||
"type": "addInputParam",
|
||||
"valueType": "any",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"showTargetInApp": false,
|
||||
"showTargetInPlugin": false,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"required": true,
|
||||
"dataType": true
|
||||
},
|
||||
"defaultEditField": {
|
||||
"label": "",
|
||||
"key": "",
|
||||
"description": "",
|
||||
"inputType": "target",
|
||||
"valueType": "string",
|
||||
"required": true
|
||||
},
|
||||
"connected": false
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"key": "finish",
|
||||
"label": "core.module.output.label.running done",
|
||||
"description": "core.module.output.description.running done",
|
||||
"valueType": "boolean",
|
||||
"type": "source",
|
||||
"targets": []
|
||||
},
|
||||
{
|
||||
"key": "system_addOutputParam",
|
||||
"type": "addOutputParam",
|
||||
"valueType": "any",
|
||||
"label": "",
|
||||
"targets": [],
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"dataType": true
|
||||
},
|
||||
"defaultEditField": {
|
||||
"label": "",
|
||||
"key": "",
|
||||
"description": "",
|
||||
"outputType": "source",
|
||||
"valueType": "string"
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "source",
|
||||
"valueType": "string",
|
||||
"label": "response",
|
||||
"description": "",
|
||||
"edit": true,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"dataType": true
|
||||
},
|
||||
"targets": [
|
||||
{
|
||||
"moduleId": "s15f3v",
|
||||
"key": "text"
|
||||
}
|
||||
],
|
||||
"key": "response"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"moduleId": "s15f3v",
|
||||
"name": "指定回复",
|
||||
"avatar": "/imgs/module/reply.png",
|
||||
"flowType": "answerNode",
|
||||
"position": {
|
||||
"x": 1705.6337348182756,
|
||||
"y": -37.53826066726282
|
||||
},
|
||||
"inputs": [
|
||||
{
|
||||
"key": "switch",
|
||||
"type": "target",
|
||||
"label": "core.module.input.label.switch",
|
||||
"valueType": "any",
|
||||
"showTargetInApp": true,
|
||||
"showTargetInPlugin": true,
|
||||
"connected": false
|
||||
},
|
||||
{
|
||||
"key": "text",
|
||||
"type": "textarea",
|
||||
"valueType": "any",
|
||||
"label": "回复的内容",
|
||||
"description": "可以使用 \\n 来实现连续换行。\n可以通过外部模块输入实现回复,外部模块输入时会覆盖当前填写的内容。\n如传入非字符串类型数据将会自动转成字符串",
|
||||
"placeholder": "可以使用 \\n 来实现连续换行。\n可以通过外部模块输入实现回复,外部模块输入时会覆盖当前填写的内容。\n如传入非字符串类型数据将会自动转成字符串",
|
||||
"showTargetInApp": true,
|
||||
"showTargetInPlugin": true,
|
||||
"connected": true
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"key": "finish",
|
||||
"label": "core.module.output.label.running done",
|
||||
"description": "core.module.output.description.running done",
|
||||
"valueType": "boolean",
|
||||
"type": "source",
|
||||
"targets": []
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
309
projects/app/public/pluginTemplates/textEditor.json
Normal file
@@ -0,0 +1,309 @@
|
||||
{
|
||||
"author": "FastGPT Team",
|
||||
"templateType": "tools",
|
||||
"name": "core.module.template.textEditor",
|
||||
"avatar": "/imgs/module/textEditor.svg",
|
||||
"intro": "core.module.template.textEditor intro",
|
||||
"showStatus": false,
|
||||
"modules": [
|
||||
{
|
||||
"moduleId": "w90mfp",
|
||||
"name": "定义插件输入",
|
||||
"avatar": "/imgs/module/input.png",
|
||||
"flowType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 616.4226348688949,
|
||||
"y": -165.05298493910115
|
||||
},
|
||||
"inputs": [
|
||||
{
|
||||
"key": "textarea",
|
||||
"valueType": "string",
|
||||
"label": "core.module.input.label.textEditor textarea",
|
||||
"type": "textarea",
|
||||
"required": true,
|
||||
"description": "core.module.input.description.textEditor textarea",
|
||||
"edit": true,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"required": true,
|
||||
"dataType": true,
|
||||
"inputType": true
|
||||
},
|
||||
"connected": true
|
||||
},
|
||||
{
|
||||
"key": "DYNAMIC_INPUT_KEY",
|
||||
"valueType": "any",
|
||||
"label": "字符串变量",
|
||||
"type": "addInputParam",
|
||||
"required": false,
|
||||
"description": "可动态的添加字符串类型变量,在文本编辑中通过 {{key}} 使用变量。",
|
||||
"edit": true,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"required": true,
|
||||
"dataType": true,
|
||||
"inputType": false
|
||||
},
|
||||
"defaultEditField": {
|
||||
"label": "",
|
||||
"key": "",
|
||||
"description": "",
|
||||
"inputType": "target",
|
||||
"valueType": "string",
|
||||
"required": true
|
||||
},
|
||||
"connected": true
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"key": "textarea",
|
||||
"valueType": "string",
|
||||
"label": "core.module.input.label.textEditor textarea",
|
||||
"type": "source",
|
||||
"edit": true,
|
||||
"targets": [
|
||||
{
|
||||
"moduleId": "49de3g",
|
||||
"key": "text"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"key": "DYNAMIC_INPUT_KEY",
|
||||
"valueType": "any",
|
||||
"label": "字符串变量",
|
||||
"type": "source",
|
||||
"edit": true,
|
||||
"targets": [
|
||||
{
|
||||
"moduleId": "49de3g",
|
||||
"key": "DYNAMIC_INPUT_KEY"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"moduleId": "tze1ju",
|
||||
"name": "定义插件输出",
|
||||
"avatar": "/imgs/module/output.png",
|
||||
"flowType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 1607.7142331269126,
|
||||
"y": -145.93201540017395
|
||||
},
|
||||
"inputs": [
|
||||
{
|
||||
"key": "text",
|
||||
"valueType": "string",
|
||||
"label": "core.module.output.label.text",
|
||||
"type": "target",
|
||||
"required": true,
|
||||
"description": "",
|
||||
"edit": true,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"required": false,
|
||||
"dataType": true,
|
||||
"inputType": false
|
||||
},
|
||||
"connected": true
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"key": "text",
|
||||
"valueType": "string",
|
||||
"label": "core.module.output.label.text",
|
||||
"type": "source",
|
||||
"edit": true,
|
||||
"targets": []
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"moduleId": "49de3g",
|
||||
"name": "HTTP模块",
|
||||
"avatar": "/imgs/module/http.png",
|
||||
"flowType": "httpRequest",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
"x": 1086.8929621216014,
|
||||
"y": -451.7550009773506
|
||||
},
|
||||
"inputs": [
|
||||
{
|
||||
"key": "switch",
|
||||
"type": "target",
|
||||
"label": "core.module.input.label.switch",
|
||||
"valueType": "any",
|
||||
"showTargetInApp": true,
|
||||
"showTargetInPlugin": true,
|
||||
"connected": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
"type": "select",
|
||||
"valueType": "string",
|
||||
"label": "core.module.input.label.Http Request Method",
|
||||
"value": "POST",
|
||||
"list": [
|
||||
{
|
||||
"label": "GET",
|
||||
"value": "GET"
|
||||
},
|
||||
{
|
||||
"label": "POST",
|
||||
"value": "POST"
|
||||
}
|
||||
],
|
||||
"required": true,
|
||||
"showTargetInApp": false,
|
||||
"showTargetInPlugin": false,
|
||||
"connected": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"type": "input",
|
||||
"valueType": "string",
|
||||
"label": "core.module.input.label.Http Request Url",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"showTargetInApp": false,
|
||||
"showTargetInPlugin": false,
|
||||
"value": "/api/plugins/textEditor",
|
||||
"connected": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
"type": "textarea",
|
||||
"valueType": "string",
|
||||
"label": "core.module.input.label.Http Request Header",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false,
|
||||
"showTargetInApp": false,
|
||||
"showTargetInPlugin": false,
|
||||
"value": "",
|
||||
"connected": false
|
||||
},
|
||||
{
|
||||
"key": "DYNAMIC_INPUT_KEY",
|
||||
"type": "target",
|
||||
"valueType": "any",
|
||||
"label": "core.module.inputType.dynamicTargetInput",
|
||||
"description": "core.module.input.description.dynamic input",
|
||||
"required": false,
|
||||
"showTargetInApp": false,
|
||||
"showTargetInPlugin": true,
|
||||
"hideInApp": true,
|
||||
"connected": true
|
||||
},
|
||||
{
|
||||
"key": "text",
|
||||
"valueType": "string",
|
||||
"label": "text",
|
||||
"type": "target",
|
||||
"required": true,
|
||||
"description": "",
|
||||
"edit": true,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"required": true,
|
||||
"dataType": true
|
||||
},
|
||||
"connected": true
|
||||
},
|
||||
{
|
||||
"key": "system_addInputParam",
|
||||
"type": "addInputParam",
|
||||
"valueType": "any",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"showTargetInApp": false,
|
||||
"showTargetInPlugin": false,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"required": true,
|
||||
"dataType": true
|
||||
},
|
||||
"defaultEditField": {
|
||||
"label": "",
|
||||
"key": "",
|
||||
"description": "",
|
||||
"inputType": "target",
|
||||
"valueType": "string",
|
||||
"required": true
|
||||
},
|
||||
"connected": false
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"key": "finish",
|
||||
"label": "core.module.output.label.running done",
|
||||
"description": "core.module.output.description.running done",
|
||||
"valueType": "boolean",
|
||||
"type": "source",
|
||||
"targets": []
|
||||
},
|
||||
{
|
||||
"key": "system_addOutputParam",
|
||||
"type": "addOutputParam",
|
||||
"valueType": "any",
|
||||
"label": "",
|
||||
"targets": [],
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"dataType": true
|
||||
},
|
||||
"defaultEditField": {
|
||||
"label": "",
|
||||
"key": "",
|
||||
"description": "",
|
||||
"outputType": "source",
|
||||
"valueType": "string"
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "source",
|
||||
"valueType": "string",
|
||||
"key": "text",
|
||||
"label": "core.module.output.label.text",
|
||||
"description": "",
|
||||
"edit": true,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"dataType": true
|
||||
},
|
||||
"targets": [
|
||||
{
|
||||
"moduleId": "tze1ju",
|
||||
"key": "text"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
335
projects/app/public/pluginTemplates/tfSwitch.json
Normal file
@@ -0,0 +1,335 @@
|
||||
{
|
||||
"author": "FastGPT Team",
|
||||
"templateType": "tools",
|
||||
"name": "core.module.template.TFSwitch",
|
||||
"avatar": "/imgs/module/tfSwitch.svg",
|
||||
"intro": "core.module.template.TFSwitch intro",
|
||||
"showStatus": false,
|
||||
"modules": [
|
||||
{
|
||||
"moduleId": "w90mfp",
|
||||
"name": "定义插件输入",
|
||||
"avatar": "/imgs/module/input.png",
|
||||
"flowType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 616.4226348688949,
|
||||
"y": -165.05298493910115
|
||||
},
|
||||
"inputs": [
|
||||
{
|
||||
"key": "input",
|
||||
"valueType": "any",
|
||||
"type": "target",
|
||||
"label": "core.module.input.label.anyInput",
|
||||
"required": true,
|
||||
"edit": true,
|
||||
"connected": true,
|
||||
"description": "core.module.input.description.anyInput"
|
||||
},
|
||||
{
|
||||
"key": "rule",
|
||||
"valueType": "string",
|
||||
"label": "core.module.input.label.TFSwitch textarea",
|
||||
"type": "textarea",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.TFSwitch textarea",
|
||||
"edit": true,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"required": true,
|
||||
"dataType": true,
|
||||
"inputType": true
|
||||
},
|
||||
"connected": true
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"key": "input",
|
||||
"valueType": "any",
|
||||
"label": "core.module.input.label.anyInput",
|
||||
"type": "source",
|
||||
"edit": true,
|
||||
"targets": [
|
||||
{
|
||||
"moduleId": "8kld99",
|
||||
"key": "input"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"key": "rule",
|
||||
"valueType": "string",
|
||||
"label": "core.module.input.label.TFSwitch textarea",
|
||||
"type": "source",
|
||||
"edit": true,
|
||||
"targets": [
|
||||
{
|
||||
"moduleId": "8kld99",
|
||||
"key": "rule"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"moduleId": "tze1ju",
|
||||
"name": "定义插件输出",
|
||||
"avatar": "/imgs/module/output.png",
|
||||
"flowType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 1985.3791673445353,
|
||||
"y": -144.90535546692078
|
||||
},
|
||||
"inputs": [
|
||||
{
|
||||
"key": "true",
|
||||
"type": "target",
|
||||
"valueType": "boolean",
|
||||
"label": "True",
|
||||
"required": true,
|
||||
"edit": true,
|
||||
"connected": true,
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"key": "false",
|
||||
"valueType": "boolean",
|
||||
"label": "False",
|
||||
"type": "target",
|
||||
"required": true,
|
||||
"description": "",
|
||||
"edit": true,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"required": false,
|
||||
"dataType": true,
|
||||
"inputType": false
|
||||
},
|
||||
"connected": true
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"key": "true",
|
||||
"valueType": "boolean",
|
||||
"label": "True",
|
||||
"type": "source",
|
||||
"edit": true,
|
||||
"targets": []
|
||||
},
|
||||
{
|
||||
"key": "false",
|
||||
"valueType": "boolean",
|
||||
"label": "False",
|
||||
"type": "source",
|
||||
"edit": true,
|
||||
"targets": []
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"moduleId": "8kld99",
|
||||
"name": "HTTP模块",
|
||||
"avatar": "/imgs/module/http.png",
|
||||
"flowType": "httpRequest",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
"x": 1210.560012858087,
|
||||
"y": -387.62433050951756
|
||||
},
|
||||
"inputs": [
|
||||
{
|
||||
"key": "switch",
|
||||
"type": "target",
|
||||
"label": "core.module.input.label.switch",
|
||||
"valueType": "any",
|
||||
"showTargetInApp": true,
|
||||
"showTargetInPlugin": true,
|
||||
"connected": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
"type": "select",
|
||||
"valueType": "string",
|
||||
"label": "core.module.input.label.Http Request Method",
|
||||
"value": "POST",
|
||||
"list": [
|
||||
{
|
||||
"label": "GET",
|
||||
"value": "GET"
|
||||
},
|
||||
{
|
||||
"label": "POST",
|
||||
"value": "POST"
|
||||
}
|
||||
],
|
||||
"required": true,
|
||||
"showTargetInApp": false,
|
||||
"showTargetInPlugin": false,
|
||||
"connected": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"type": "input",
|
||||
"valueType": "string",
|
||||
"label": "core.module.input.label.Http Request Url",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"showTargetInApp": false,
|
||||
"showTargetInPlugin": false,
|
||||
"value": "/api/plugins/TFSwitch",
|
||||
"connected": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
"type": "textarea",
|
||||
"valueType": "string",
|
||||
"label": "core.module.input.label.Http Request Header",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false,
|
||||
"showTargetInApp": false,
|
||||
"showTargetInPlugin": false,
|
||||
"connected": false
|
||||
},
|
||||
{
|
||||
"key": "input",
|
||||
"valueType": "any",
|
||||
"label": "input",
|
||||
"type": "target",
|
||||
"required": true,
|
||||
"description": "",
|
||||
"edit": true,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"required": true,
|
||||
"dataType": true
|
||||
},
|
||||
"connected": true
|
||||
},
|
||||
{
|
||||
"key": "rule",
|
||||
"valueType": "string",
|
||||
"label": "rule",
|
||||
"type": "target",
|
||||
"required": false,
|
||||
"description": "",
|
||||
"edit": true,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"required": true,
|
||||
"dataType": true
|
||||
},
|
||||
"connected": true
|
||||
},
|
||||
{
|
||||
"key": "system_addInputParam",
|
||||
"type": "addInputParam",
|
||||
"valueType": "any",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"showTargetInApp": false,
|
||||
"showTargetInPlugin": false,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"required": true,
|
||||
"dataType": true
|
||||
},
|
||||
"defaultEditField": {
|
||||
"label": "",
|
||||
"key": "",
|
||||
"description": "",
|
||||
"inputType": "target",
|
||||
"valueType": "string",
|
||||
"required": true
|
||||
},
|
||||
"connected": false
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"key": "finish",
|
||||
"label": "core.module.output.label.running done",
|
||||
"description": "core.module.output.description.running done",
|
||||
"valueType": "boolean",
|
||||
"type": "source",
|
||||
"targets": []
|
||||
},
|
||||
{
|
||||
"key": "system_addOutputParam",
|
||||
"type": "addOutputParam",
|
||||
"valueType": "any",
|
||||
"label": "",
|
||||
"targets": [],
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"dataType": true
|
||||
},
|
||||
"defaultEditField": {
|
||||
"label": "",
|
||||
"key": "",
|
||||
"description": "",
|
||||
"outputType": "source",
|
||||
"valueType": "string"
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "source",
|
||||
"valueType": "boolean",
|
||||
"key": "true",
|
||||
"label": "true",
|
||||
"description": "",
|
||||
"edit": true,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"dataType": true
|
||||
},
|
||||
"targets": [
|
||||
{
|
||||
"moduleId": "tze1ju",
|
||||
"key": "true"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"type": "source",
|
||||
"valueType": "boolean",
|
||||
"key": "false",
|
||||
"label": "false",
|
||||
"description": "",
|
||||
"edit": true,
|
||||
"editField": {
|
||||
"key": true,
|
||||
"name": true,
|
||||
"description": true,
|
||||
"dataType": true
|
||||
},
|
||||
"targets": [
|
||||
{
|
||||
"moduleId": "tze1ju",
|
||||
"key": "false"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -2,7 +2,7 @@ import { useSpeech } from '@/web/common/hooks/useSpeech';
|
||||
import { useSystemStore } from '@/web/common/system/useSystemStore';
|
||||
import { Box, Flex, Image, Spinner, Textarea } from '@chakra-ui/react';
|
||||
import React, { useRef, useEffect, useCallback, useState } from 'react';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
import { useTranslation } from 'next-i18next';
|
||||
import MyTooltip from '../MyTooltip';
|
||||
import MyIcon from '../Icon';
|
||||
import styles from './index.module.scss';
|
||||
@@ -216,7 +216,7 @@ ${images.map((img) => JSON.stringify({ src: img.src })).join('\n')}
|
||||
pl={5}
|
||||
alignItems={'center'}
|
||||
bg={'white'}
|
||||
color={'myBlue.600'}
|
||||
color={'blue.500'}
|
||||
visibility={isSpeaking && isTransCription ? 'visible' : 'hidden'}
|
||||
>
|
||||
<Spinner size={'sm'} mr={4} />
|
||||
@@ -244,7 +244,7 @@ ${images.map((img) => JSON.stringify({ src: img.src })).join('\n')}
|
||||
alignItems={'center'}
|
||||
justifyContent={'center'}
|
||||
rounded={'md'}
|
||||
color={'myBlue.600'}
|
||||
color={'blue.500'}
|
||||
top={0}
|
||||
left={0}
|
||||
bottom={0}
|
||||
@@ -260,7 +260,7 @@ ${images.map((img) => JSON.stringify({ src: img.src })).join('\n')}
|
||||
h={'16px'}
|
||||
color={'myGray.700'}
|
||||
cursor={'pointer'}
|
||||
_hover={{ color: 'myBlue.600' }}
|
||||
_hover={{ color: 'blue.500' }}
|
||||
position={'absolute'}
|
||||
bg={'white'}
|
||||
right={'-8px'}
|
||||
@@ -396,7 +396,7 @@ ${images.map((img) => JSON.stringify({ src: img.src })).join('\n')}
|
||||
name={isSpeaking ? 'core/chat/stopSpeechFill' : 'core/chat/recordFill'}
|
||||
width={['20px', '22px']}
|
||||
height={['20px', '22px']}
|
||||
color={'myBlue.600'}
|
||||
color={'blue.500'}
|
||||
/>
|
||||
</MyTooltip>
|
||||
</Flex>
|
||||
@@ -415,7 +415,7 @@ ${images.map((img) => JSON.stringify({ src: img.src })).join('\n')}
|
||||
h={['28px', '32px']}
|
||||
w={['28px', '32px']}
|
||||
borderRadius={'md'}
|
||||
bg={isSpeaking || isChatting ? '' : !havInput ? '#E5E5E5' : 'myBlue.600'}
|
||||
bg={isSpeaking || isChatting ? '' : !havInput ? '#E5E5E5' : 'blue.500'}
|
||||
cursor={havInput ? 'pointer' : 'not-allowed'}
|
||||
lineHeight={1}
|
||||
onClick={() => {
|
||||
|
||||
@@ -105,7 +105,7 @@ const QuoteModal = ({
|
||||
className="hover-data"
|
||||
display={'none'}
|
||||
alignItems={'center'}
|
||||
color={'myBlue.600'}
|
||||
color={'blue.500'}
|
||||
href={`/dataset/detail?datasetId=${item.datasetId}¤tTab=dataCard&collectionId=${item.collectionId}`}
|
||||
>
|
||||
{t('core.dataset.Go Dataset')}
|
||||
@@ -164,7 +164,7 @@ const QuoteModal = ({
|
||||
cursor={'pointer'}
|
||||
color={'myGray.600'}
|
||||
_hover={{
|
||||
color: 'myBlue.700'
|
||||
color: 'blue.600'
|
||||
}}
|
||||
onClick={() => onclickEdit(item)}
|
||||
/>
|
||||
|
||||
@@ -147,7 +147,7 @@ const ResponseTags = ({
|
||||
name="common/routePushLight"
|
||||
w={'14px'}
|
||||
cursor={'pointer'}
|
||||
_hover={{ color: 'myBlue.600' }}
|
||||
_hover={{ color: 'blue.500' }}
|
||||
onClick={async (e) => {
|
||||
e.stopPropagation();
|
||||
|
||||
|
||||
@@ -35,7 +35,7 @@ const SelectMarkCollection = ({
|
||||
const theme = useTheme();
|
||||
const [selectedDatasetId, setSelectedDatasetId] = useState<string>();
|
||||
const [selectedDatasetCollectionIds, setSelectedDatasetCollectionIds] = useState<string[]>([]);
|
||||
const { paths, parentId, setParentId, datasets, isFetching } = useDatasetSelect();
|
||||
const { paths, setParentId, datasets, isFetching } = useDatasetSelect();
|
||||
|
||||
return (
|
||||
<>
|
||||
@@ -70,7 +70,7 @@ const SelectMarkCollection = ({
|
||||
}}
|
||||
{...(selected
|
||||
? {
|
||||
bg: 'myBlue.300'
|
||||
bg: 'blue.200'
|
||||
}
|
||||
: {})}
|
||||
onClick={() => {
|
||||
|
||||
@@ -21,6 +21,7 @@ function Row({
|
||||
value?: string | number;
|
||||
rawDom?: React.ReactNode;
|
||||
}) {
|
||||
const { t } = useTranslation();
|
||||
const theme = useTheme();
|
||||
const val = value || rawDom;
|
||||
const strValue = `${value}`;
|
||||
@@ -29,7 +30,7 @@ function Row({
|
||||
return val !== undefined && val !== '' && val !== 'undefined' ? (
|
||||
<Box mb={3}>
|
||||
<Box fontSize={['sm', 'md']} mb={isCodeBlock ? 0 : 1} flex={'0 0 90px'}>
|
||||
{label}:
|
||||
{t(label)}:
|
||||
</Box>
|
||||
<Box
|
||||
borderRadius={'md'}
|
||||
@@ -69,12 +70,12 @@ const WholeResponseModal = ({
|
||||
alt={''}
|
||||
w={['14px', '16px']}
|
||||
/>
|
||||
{item.moduleName}
|
||||
{t(item.moduleName)}
|
||||
</Flex>
|
||||
),
|
||||
id: `${i}`
|
||||
})),
|
||||
[response]
|
||||
[response, t]
|
||||
);
|
||||
|
||||
const [currentTab, setCurrentTab] = useState(`0`);
|
||||
@@ -103,26 +104,33 @@ const WholeResponseModal = ({
|
||||
<Tabs list={list} activeId={currentTab} onChange={setCurrentTab} />
|
||||
</Box>
|
||||
<Box py={2} px={4} flex={'1 0 0'} overflow={'auto'}>
|
||||
<Row label={t('chat.response.module name')} value={activeModule?.moduleName} />
|
||||
<Row label={t('core.chat.response.module name')} value={t(activeModule.moduleName)} />
|
||||
{activeModule?.price !== undefined && (
|
||||
<Row
|
||||
label={t('chat.response.module price')}
|
||||
label={t('core.chat.response.module price')}
|
||||
value={`¥${formatPrice(activeModule?.price)}`}
|
||||
/>
|
||||
)}
|
||||
<Row
|
||||
label={t('chat.response.module time')}
|
||||
label={t('core.chat.response.module time')}
|
||||
value={`${activeModule?.runningTime || 0}s`}
|
||||
/>
|
||||
<Row label={t('chat.response.module tokens')} value={`${activeModule?.tokens}`} />
|
||||
<Row label={t('chat.response.module model')} value={activeModule?.model} />
|
||||
<Row label={t('chat.response.module query')} value={activeModule?.query} />
|
||||
<Row label={t('core.chat.response.module tokens')} value={`${activeModule?.tokens}`} />
|
||||
<Row label={t('core.chat.response.module model')} value={activeModule?.model} />
|
||||
<Row label={t('core.chat.response.module query')} value={activeModule?.query} />
|
||||
<Row
|
||||
label={t('core.chat.response.context total length')}
|
||||
value={activeModule?.contextTotalLen}
|
||||
/>
|
||||
|
||||
{/* ai chat */}
|
||||
<Row label={t('chat.response.module temperature')} value={activeModule?.temperature} />
|
||||
<Row label={t('chat.response.module maxToken')} value={activeModule?.maxToken} />
|
||||
<Row
|
||||
label={t('chat.response.module historyPreview')}
|
||||
label={t('core.chat.response.module temperature')}
|
||||
value={activeModule?.temperature}
|
||||
/>
|
||||
<Row label={t('core.chat.response.module maxToken')} value={activeModule?.maxToken} />
|
||||
<Row
|
||||
label={t('core.chat.response.module historyPreview')}
|
||||
rawDom={
|
||||
activeModule.historyPreview ? (
|
||||
<>
|
||||
@@ -148,7 +156,7 @@ const WholeResponseModal = ({
|
||||
/>
|
||||
{activeModule.quoteList && activeModule.quoteList.length > 0 && (
|
||||
<Row
|
||||
label={t('chat.response.module quoteList')}
|
||||
label={t('core.chat.response.module quoteList')}
|
||||
value={`~~~json\n${JSON.stringify(activeModule.quoteList, null, 2)}`}
|
||||
/>
|
||||
)}
|
||||
@@ -161,27 +169,27 @@ const WholeResponseModal = ({
|
||||
value={t(DatasetSearchModeMap[activeModule.searchMode]?.title)}
|
||||
/>
|
||||
)}
|
||||
<Row label={t('chat.response.module similarity')} value={activeModule?.similarity} />
|
||||
<Row label={t('chat.response.module limit')} value={activeModule?.limit} />
|
||||
<Row label={t('core.chat.response.module similarity')} value={activeModule?.similarity} />
|
||||
<Row label={t('core.chat.response.module limit')} value={activeModule?.limit} />
|
||||
|
||||
{/* classify question */}
|
||||
<Row
|
||||
label={t('chat.response.module cq')}
|
||||
label={t('core.chat.response.module cq')}
|
||||
value={(() => {
|
||||
if (!activeModule?.cqList) return '';
|
||||
return activeModule.cqList.map((item) => `* ${item.value}`).join('\n');
|
||||
})()}
|
||||
/>
|
||||
<Row label={t('chat.response.module cq result')} value={activeModule?.cqResult} />
|
||||
<Row label={t('core.chat.response.module cq result')} value={activeModule?.cqResult} />
|
||||
|
||||
{/* extract */}
|
||||
<Row
|
||||
label={t('chat.response.module extract description')}
|
||||
label={t('core.chat.response.module extract description')}
|
||||
value={activeModule?.extractDescription}
|
||||
/>
|
||||
{activeModule?.extractResult && (
|
||||
<Row
|
||||
label={t('chat.response.module extract result')}
|
||||
label={t('core.chat.response.module extract result')}
|
||||
value={`~~~json\n${JSON.stringify(activeModule?.extractResult, null, 2)}`}
|
||||
/>
|
||||
)}
|
||||
@@ -189,13 +197,13 @@ const WholeResponseModal = ({
|
||||
{/* http */}
|
||||
{activeModule?.body && (
|
||||
<Row
|
||||
label={t('chat.response.module http body')}
|
||||
label={t('core.chat.response.module http body')}
|
||||
value={`~~~json\n${JSON.stringify(activeModule?.body, null, 2)}`}
|
||||
/>
|
||||
)}
|
||||
{activeModule?.httpResult && (
|
||||
<Row
|
||||
label={t('chat.response.module http result')}
|
||||
label={t('core.chat.response.module http result')}
|
||||
value={`~~~json\n${JSON.stringify(activeModule?.httpResult, null, 2)}`}
|
||||
/>
|
||||
)}
|
||||
@@ -203,10 +211,13 @@ const WholeResponseModal = ({
|
||||
{/* plugin */}
|
||||
{activeModule?.pluginOutput && (
|
||||
<Row
|
||||
label={t('chat.response.plugin output')}
|
||||
label={t('core.chat.response.plugin output')}
|
||||
value={`~~~json\n${JSON.stringify(activeModule?.pluginOutput, null, 2)}`}
|
||||
/>
|
||||
)}
|
||||
|
||||
{/* text editor */}
|
||||
<Row label={t('core.chat.response.text output')} value={activeModule?.textOutput} />
|
||||
</Box>
|
||||
</Flex>
|
||||
</MyModal>
|
||||
|
||||
@@ -27,7 +27,8 @@ import {
|
||||
BoxProps,
|
||||
FlexProps,
|
||||
Image,
|
||||
Textarea
|
||||
Textarea,
|
||||
Checkbox
|
||||
} from '@chakra-ui/react';
|
||||
import { feConfigs } from '@/web/common/system/staticData';
|
||||
import { EventNameEnum, eventBus } from '@/web/common/utils/eventbus';
|
||||
@@ -43,7 +44,11 @@ import { useRouter } from 'next/router';
|
||||
import { useSystemStore } from '@/web/common/system/useSystemStore';
|
||||
import { useTranslation } from 'next-i18next';
|
||||
import { customAlphabet } from 'nanoid';
|
||||
import { updateChatAdminFeedback, updateChatUserFeedback } from '@/web/core/chat/api';
|
||||
import {
|
||||
closeCustomFeedback,
|
||||
updateChatAdminFeedback,
|
||||
updateChatUserFeedback
|
||||
} from '@/web/core/chat/api';
|
||||
import type { AdminMarkType } from './SelectMarkCollection';
|
||||
|
||||
import MyIcon from '@/components/Icon';
|
||||
@@ -63,6 +68,7 @@ import { splitGuideModule } from '@fastgpt/global/core/module/utils';
|
||||
import type { AppTTSConfigType } from '@fastgpt/global/core/module/type.d';
|
||||
import MessageInput from './MessageInput';
|
||||
import { ModuleOutputKeyEnum } from '@fastgpt/global/core/module/constants';
|
||||
import ChatBoxDivider from '../core/chat/Divider';
|
||||
|
||||
const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 24);
|
||||
|
||||
@@ -492,7 +498,7 @@ const ChatBox = (
|
||||
const colorMap = {
|
||||
loading: 'myGray.700',
|
||||
running: '#67c13b',
|
||||
finish: 'myBlue.600'
|
||||
finish: 'blue.500'
|
||||
};
|
||||
if (!isChatting) return;
|
||||
const chatContent = chatHistory[chatHistory.length - 1];
|
||||
@@ -500,7 +506,7 @@ const ChatBox = (
|
||||
|
||||
return {
|
||||
bg: colorMap[chatContent.status] || colorMap.loading,
|
||||
name: chatContent.moduleName || t('common.Loading')
|
||||
name: t(chatContent.moduleName || '') || t('common.Loading')
|
||||
};
|
||||
}, [chatHistory, isChatting, t]);
|
||||
/* style end */
|
||||
@@ -517,7 +523,7 @@ const ChatBox = (
|
||||
};
|
||||
}, [router.query]);
|
||||
|
||||
// add guide text listener
|
||||
// add listener
|
||||
useEffect(() => {
|
||||
const windowMessage = ({ data }: MessageEvent<{ type: 'sendPrompt'; text: string }>) => {
|
||||
if (data?.type === 'sendPrompt' && data?.text) {
|
||||
@@ -536,9 +542,9 @@ const ChatBox = (
|
||||
});
|
||||
|
||||
return () => {
|
||||
window.removeEventListener('message', windowMessage);
|
||||
eventBus.off(EventNameEnum.sendQuestion);
|
||||
eventBus.off(EventNameEnum.editQuestion);
|
||||
window.removeEventListener('message', windowMessage);
|
||||
};
|
||||
}, [handleSubmit, resetInputVal, sendPrompt]);
|
||||
|
||||
@@ -660,7 +666,7 @@ const ChatBox = (
|
||||
<Card
|
||||
className="markdown"
|
||||
{...MessageCardStyle}
|
||||
bg={'myBlue.300'}
|
||||
bg={'blue.200'}
|
||||
borderRadius={'8px 0 8px 8px'}
|
||||
textAlign={'left'}
|
||||
>
|
||||
@@ -853,16 +859,56 @@ const ChatBox = (
|
||||
|
||||
<ResponseTags responseData={item.responseData} isShare={!!shareId} />
|
||||
|
||||
{/* custom feedback */}
|
||||
{item.customFeedbacks && item.customFeedbacks.length > 0 && (
|
||||
<Box>
|
||||
<ChatBoxDivider
|
||||
icon={'core/app/customFeedback'}
|
||||
text={t('core.app.feedback.Custom feedback')}
|
||||
/>
|
||||
{item.customFeedbacks.map((text, i) => (
|
||||
<Box key={`${text}${i}`}>
|
||||
<MyTooltip label={t('core.app.feedback.close custom feedback')}>
|
||||
<Checkbox
|
||||
onChange={(e) => {
|
||||
if (e.target.checked && appId && chatId && item.dataId) {
|
||||
closeCustomFeedback({
|
||||
appId,
|
||||
chatId,
|
||||
chatItemId: item.dataId,
|
||||
index: i
|
||||
});
|
||||
// update dom
|
||||
setChatHistory((state) =>
|
||||
state.map((chatItem) =>
|
||||
chatItem.dataId === item.dataId
|
||||
? {
|
||||
...chatItem,
|
||||
customFeedbacks: chatItem.customFeedbacks?.filter(
|
||||
(item, index) => index !== i
|
||||
)
|
||||
}
|
||||
: chatItem
|
||||
)
|
||||
);
|
||||
}
|
||||
console.log(e);
|
||||
}}
|
||||
>
|
||||
{text}
|
||||
</Checkbox>
|
||||
</MyTooltip>
|
||||
</Box>
|
||||
))}
|
||||
</Box>
|
||||
)}
|
||||
{/* admin mark content */}
|
||||
{showMarkIcon && item.adminFeedback && (
|
||||
<Box>
|
||||
<Flex alignItems={'center'} py={2}>
|
||||
<MyIcon name={'core/app/markLight'} w={'14px'} color={'myGray.900'} />
|
||||
<Box ml={2} color={'myGray.500'}>
|
||||
{t('chat.Admin Mark Content')}
|
||||
</Box>
|
||||
<Box h={'1px'} bg={'myGray.300'} flex={'1'} />
|
||||
</Flex>
|
||||
<ChatBoxDivider
|
||||
icon="core/app/markLight"
|
||||
text={t('chat.Admin Mark Content')}
|
||||
/>
|
||||
<Box whiteSpace={'pre'}>{`${item.adminFeedback.q || ''}${
|
||||
item.adminFeedback.a ? `\n${item.adminFeedback.a}` : ''
|
||||
}`}</Box>
|
||||
@@ -942,7 +988,10 @@ const ChatBox = (
|
||||
setAdminMarkData={(e) => setAdminMarkData({ ...e, chatItemId: adminMarkData.chatItemId })}
|
||||
onClose={() => setAdminMarkData(undefined)}
|
||||
onSuccess={(adminFeedback) => {
|
||||
if (!appId || !chatId || !adminMarkData.chatItemId) return;
|
||||
updateChatAdminFeedback({
|
||||
appId,
|
||||
chatId,
|
||||
chatItemId: adminMarkData.chatItemId,
|
||||
...adminFeedback
|
||||
});
|
||||
@@ -1089,7 +1138,7 @@ function ChatAvatar({ src, type }: { src?: string; type: 'Human' | 'AI' }) {
|
||||
borderRadius={'lg'}
|
||||
border={theme.borders.base}
|
||||
boxShadow={'0 0 5px rgba(0,0,0,0.1)'}
|
||||
bg={type === 'Human' ? 'white' : 'myBlue.100'}
|
||||
bg={type === 'Human' ? 'white' : 'blue.50'}
|
||||
>
|
||||
<Avatar src={src} w={'100%'} h={'100%'} />
|
||||
</Box>
|
||||
@@ -1170,7 +1219,7 @@ function ChatController({
|
||||
<MyIcon
|
||||
{...controlIconStyle}
|
||||
name={'copy'}
|
||||
_hover={{ color: 'myBlue.700' }}
|
||||
_hover={{ color: 'blue.600' }}
|
||||
onClick={() => copyData(chat.value)}
|
||||
/>
|
||||
</MyTooltip>
|
||||
|
||||
@@ -0,0 +1,12 @@
|
||||
<?xml version="1.0" standalone="no"?>
|
||||
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1702637232008"
|
||||
class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="6146"
|
||||
xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128">
|
||||
<path
|
||||
d="M261.688889 194.218667A67.470222 67.470222 0 1 1 194.218667 261.688889 67.584 67.584 0 0 1 261.688889 194.218667M261.688889 136.533333a125.155556 125.155556 0 1 0 125.155555 125.155556 125.155556 125.155556 0 0 0-125.155555-125.155556zM614.4 444.529778A67.470222 67.470222 0 1 1 547.271111 512a67.584 67.584 0 0 1 67.128889-67.470222M614.4 386.844444a125.155556 125.155556 0 1 0 125.155556 125.155556 125.155556 125.155556 0 0 0-125.155556-125.155556zM408.120889 694.840889A67.470222 67.470222 0 1 1 340.650667 762.311111a67.470222 67.470222 0 0 1 67.470222-67.470222m0-57.685333a125.155556 125.155556 0 1 0 125.155555 125.155555 125.155556 125.155556 0 0 0-125.155555-125.155555z"
|
||||
fill="#1DCCA1" p-id="6147"></path>
|
||||
<path
|
||||
d="M489.016889 736.142222h375.011555v52.337778H489.016889zM325.632 788.48h-42.894222C171.804444 788.48 113.777778 711.452444 113.777778 635.335111a143.36 143.36 0 0 1 43.235555-103.651555c30.833778-30.037333 74.296889-45.511111 125.724445-45.511112h242.119111v52.337778H282.737778c-80.554667 0-116.622222 48.810667-116.622222 97.166222s36.522667 100.807111 116.622222 100.807112h42.894222zM743.537778 538.168889h-40.618667v-52.337778h40.618667c78.620444 0 114.346667-51.541333 114.346666-99.555555s-35.384889-98.417778-114.346666-98.417778H337.123556v-52.337778h406.414222C853.333333 235.52 910.222222 311.409778 910.222222 386.844444a147.911111 147.911111 0 0 1-42.780444 104.903112 168.732444 168.732444 0 0 1-123.904 46.421333z"
|
||||
fill="#1DCCA1" p-id="6148"></path>
|
||||
<path d="M910.222222 762.311111l-136.533333 102.4V659.911111l136.533333 102.4z" fill="#1DCCA1" p-id="6149"></path>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 2.0 KiB |
@@ -124,7 +124,8 @@ const iconPaths = {
|
||||
'common/confirm/deleteTip': () => import('./icons/common/confirm/deleteTip.svg'),
|
||||
'common/confirm/commonTip': () => import('./icons/common/confirm/commonTip.svg'),
|
||||
'common/routePushLight': () => import('./icons/common/routePushLight.svg'),
|
||||
'common/viewLight': () => import('./icons/common/viewLight.svg')
|
||||
'common/viewLight': () => import('./icons/common/viewLight.svg'),
|
||||
'core/app/customFeedback': () => import('./icons/core/app/customFeedback.svg')
|
||||
};
|
||||
|
||||
export type IconName = keyof typeof iconPaths;
|
||||
|
||||
@@ -129,7 +129,7 @@ const Navbar = ({ unread }: { unread: number }) => {
|
||||
{...itemStyles}
|
||||
{...(item.activeLink.includes(router.pathname)
|
||||
? {
|
||||
color: 'myBlue.700',
|
||||
color: 'blue.600',
|
||||
bg: 'white !important',
|
||||
boxShadow: '1px 1px 10px rgba(0,0,0,0.2)'
|
||||
}
|
||||
|
||||