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v4.8.8-alp
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3
.github/workflows/docs-deploy-kubeconfig.yml
vendored
3
.github/workflows/docs-deploy-kubeconfig.yml
vendored
@@ -16,6 +16,9 @@ jobs:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Change baseURL
|
||||
run: sed -i 's|^baseURL =.*|baseURL = "https://doc.fastgpt.cn"|g' ./docSite/hugo.toml
|
||||
|
||||
- name: Get current date and time
|
||||
id: datetime
|
||||
run: echo "datetime=$(date +'%Y%m%d%H%M%S')" >> "$GITHUB_OUTPUT"
|
||||
|
||||
2
.github/workflows/preview-image.yml
vendored
2
.github/workflows/preview-image.yml
vendored
@@ -7,7 +7,7 @@ on:
|
||||
workflow_dispatch:
|
||||
|
||||
jobs:
|
||||
build-fastgpt-images:
|
||||
preview-fastgpt-images:
|
||||
runs-on: ubuntu-20.04
|
||||
steps:
|
||||
- name: Checkout
|
||||
|
||||
@@ -3,4 +3,6 @@ dist
|
||||
**/.DS_Store
|
||||
node_modules
|
||||
docSite/
|
||||
*.md
|
||||
*.md
|
||||
|
||||
cl100l_base.ts
|
||||
6
.vscode/i18n-ally-custom-framework.yml
vendored
6
.vscode/i18n-ally-custom-framework.yml
vendored
@@ -26,13 +26,14 @@ usageMatchRegex:
|
||||
- "[^\\w\\d]workflowT\\(['\"`]({key})['\"`]"
|
||||
- "[^\\w\\d]userT\\(['\"`]({key})['\"`]"
|
||||
- "[^\\w\\d]chatT\\(['\"`]({key})['\"`]"
|
||||
- "[^\\w\\d]i18nT\\(['\"`]({key})['\"`]"
|
||||
|
||||
# A RegEx to set a custom scope range. This scope will be used as a prefix when detecting keys
|
||||
# and works like how the i18next framework identifies the namespace scope from the
|
||||
# useTranslation() hook.
|
||||
# You should unescape RegEx strings in order to fit in the YAML file
|
||||
# To help with this, you can use https://www.freeformatter.com/json-escape.html
|
||||
scopeRangeRegex: "useTranslation\\(\\s*\\[?\\s*['\"`](.*?)['\"`]"
|
||||
scopeRangeRegex: "([^:]+):"
|
||||
|
||||
# An array of strings containing refactor templates.
|
||||
# The "$1" will be replaced by the keypath specified.
|
||||
@@ -41,6 +42,5 @@ scopeRangeRegex: "useTranslation\\(\\s*\\[?\\s*['\"`](.*?)['\"`]"
|
||||
# refactorTemplates:
|
||||
# - i18n.get("$1")
|
||||
|
||||
|
||||
# If set to true, only enables this custom framework (will disable all built-in frameworks)
|
||||
monopoly: true
|
||||
monopoly: false
|
||||
|
||||
14
.vscode/settings.json
vendored
14
.vscode/settings.json
vendored
@@ -7,11 +7,21 @@
|
||||
"i18n-ally.localesPaths": [
|
||||
"packages/web/i18n",
|
||||
],
|
||||
"i18n-ally.enabledParsers": ["json", "yaml", "js", "ts"],
|
||||
"i18n-ally.enabledParsers": [
|
||||
"json",
|
||||
"yaml",
|
||||
"js",
|
||||
"ts"
|
||||
],
|
||||
"i18n-ally.keystyle": "nested",
|
||||
"i18n-ally.sortKeys": true,
|
||||
"i18n-ally.keepFulfilled": false,
|
||||
"i18n-ally.sourceLanguage": "zh", // 根据此语言文件翻译其他语言文件的变量和内容
|
||||
"i18n-ally.displayLanguage": "zh", // 显示语言
|
||||
"i18n-ally.extract.targetPickingStrategy": "most-similar-by-key"
|
||||
"i18n-ally.namespace": true,
|
||||
"i18n-ally.pathMatcher": "{locale}/{namespaces}.json",
|
||||
"i18n-ally.extract.targetPickingStrategy": "most-similar-by-key",
|
||||
"[typescript]": {
|
||||
"editor.defaultFormatter": "esbenp.prettier-vscode"
|
||||
}
|
||||
}
|
||||
72
dev.md
72
dev.md
@@ -23,6 +23,77 @@ pnpm dev
|
||||
make dev name=app
|
||||
```
|
||||
|
||||
Note: If the Node version is >= 20, you need to pass the `--no-node-snapshot` parameter to Node when running `pnpm i`
|
||||
|
||||
```sh
|
||||
NODE_OPTIONS=--no-node-snapshot pnpm i
|
||||
```
|
||||
|
||||
## I18N
|
||||
|
||||
### Install i18n-ally Plugin
|
||||
|
||||
1. Open the Extensions Marketplace in VSCode, search for and install the `i18n Ally` plugin.
|
||||
|
||||
### Code Optimization Examples
|
||||
|
||||
#### Fetch Specific Namespace Translations in `getServerSideProps`
|
||||
|
||||
```typescript
|
||||
// pages/yourPage.tsx
|
||||
export async function getServerSideProps(context: any) {
|
||||
return {
|
||||
props: {
|
||||
currentTab: context?.query?.currentTab || TabEnum.info,
|
||||
...(await serverSideTranslations(context.locale, ['publish', 'user']))
|
||||
}
|
||||
};
|
||||
}
|
||||
```
|
||||
|
||||
#### Use useTranslation Hook in Page
|
||||
|
||||
```typescript
|
||||
// pages/yourPage.tsx
|
||||
import { useTranslation } from 'next-i18next';
|
||||
|
||||
const YourComponent = () => {
|
||||
const { t } = useTranslation();
|
||||
|
||||
return (
|
||||
<Button
|
||||
variant="outline"
|
||||
size="sm"
|
||||
mr={2}
|
||||
onClick={() => setShowSelected(false)}
|
||||
>
|
||||
{t('common:close')}
|
||||
</Button>
|
||||
);
|
||||
};
|
||||
|
||||
export default YourComponent;
|
||||
```
|
||||
|
||||
#### Handle Static File Translations
|
||||
|
||||
```typescript
|
||||
// utils/i18n.ts
|
||||
import { i18nT } from '@fastgpt/web/i18n/utils';
|
||||
|
||||
const staticContent = {
|
||||
id: 'simpleChat',
|
||||
avatar: 'core/workflow/template/aiChat',
|
||||
name: i18nT('app:template.simple_robot'),
|
||||
};
|
||||
|
||||
export default staticContent;
|
||||
```
|
||||
|
||||
### Standardize Translation Format
|
||||
|
||||
- Use the t(namespace:key) format to ensure consistent naming.
|
||||
- Translation keys should use lowercase letters and underscores, e.g., common.close.
|
||||
|
||||
## Build
|
||||
|
||||
@@ -37,4 +108,3 @@ docker build -f ./projects/app/Dockerfile -t registry.cn-hangzhou.aliyuncs.com/f
|
||||
# Make cmd: Build image with proxy
|
||||
make build name=app image=registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.1 proxy=taobao
|
||||
```
|
||||
|
||||
|
||||
@@ -11,7 +11,6 @@ weight: 707
|
||||
|
||||

|
||||
|
||||
|
||||
{{% alert icon="🤖" context="success" %}}
|
||||
|
||||
- MongoDB:用于存储除了向量外的各类数据
|
||||
@@ -105,13 +104,11 @@ brew install orbstack
|
||||
{{< /tab >}}
|
||||
{{< /tabs >}}
|
||||
|
||||
|
||||
## 开始部署
|
||||
|
||||
### 1. 下载 docker-compose.yml
|
||||
|
||||
|
||||
非 Linux 环境或无法访问外网环境,可手动创建一个目录,并下载配置文件和对应版本的`docker-compose.yml`
|
||||
非 Linux 环境或无法访问外网环境,可手动创建一个目录,并下载配置文件和对应版本的`docker-compose.yml`,在这个文件夹中依据下载的配置文件运行docker,若作为本地开发使用推荐`docker-compose-pgvector`版本,并且自行拉取并运行`sandbox`和`fastgpt`,并在docker配置文件中注释掉`sandbox`和`fastgpt`的部分
|
||||
|
||||
- [config.json](https://github.com/labring/FastGPT/blob/main/projects/app/data/config.json)
|
||||
- [docker-compose.yml](https://github.com/labring/FastGPT/blob/main/files/docker) (注意,不同向量库版本的文件不一样)
|
||||
@@ -271,7 +268,6 @@ rs.status()
|
||||
|
||||
默认是写了OneAPi的连接地址和密钥,可以通过修改`docker-compose.yml`中,fastgpt容器的环境变量实现。
|
||||
|
||||
|
||||
`OPENAI_BASE_URL`(API 接口的地址,需要加/v1)
|
||||
`CHAT_API_KEY`(API 接口的凭证)。
|
||||
|
||||
@@ -315,8 +311,7 @@ docker-compose up -d
|
||||
1. `docker exec -it fastgpt sh` 进入 FastGPT 容器。
|
||||
2. 直接输入`env`命令查看所有环境变量。
|
||||
|
||||
|
||||
### 为什么无法连接`本地模型`镜像。
|
||||
### 为什么无法连接`本地模型`镜像
|
||||
|
||||
`docker-compose.yml`中使用了桥接的模式建立了`fastgpt`网络,如想通过0.0.0.0或镜像名访问其它镜像,需将其它镜像也加入到网络中。
|
||||
|
||||
@@ -368,8 +363,8 @@ mongo连接失败,查看mongo的运行状态**对应日志**。
|
||||
|
||||
由于服务初始化错误,系统重启导致。
|
||||
|
||||
* 90%是由于配置文件写不对,导致 JSON 解析报错
|
||||
* 剩下的基本是因为向量数据库连不上
|
||||
- 90%是由于配置文件写不对,导致 JSON 解析报错
|
||||
- 剩下的基本是因为向量数据库连不上
|
||||
|
||||
### 如何修改密码
|
||||
|
||||
|
||||
@@ -7,8 +7,7 @@ toc: true
|
||||
weight: 705
|
||||
---
|
||||
|
||||
本文档介绍了如何设置开发环境以构建和测试 [FastGPT](https://fastgpt.in)。
|
||||
|
||||
本文档介绍了如何设置开发环境以构建和测试 [FastGPT](https://fastgpt.in),。
|
||||
|
||||
## 前置依赖项
|
||||
|
||||
@@ -16,13 +15,14 @@ weight: 705
|
||||
|
||||
- [Git](http://git-scm.com/)
|
||||
- [Docker](https://www.docker.com/)(构建镜像)
|
||||
- [Node.js v18.17 / v20.x](http://nodejs.org)
|
||||
- [Node.js v18.17 / v20.x](http://nodejs.org)(版本尽量一样,可以使用nvm管理node版本)
|
||||
- [pnpm](https://pnpm.io/) 版本 8.6.0 (目前官方的开发环境)
|
||||
- make命令: 根据不同平台,百度安装 (官方是GNU Make 4.3)
|
||||
|
||||
## 开始本地开发
|
||||
|
||||
{{% alert context="success" %}}
|
||||
|
||||
1. 用户默认的时区为 `Asia/Shanghai`,非 linux 环境时候,获取系统时间会异常,本地开发时候,可以将用户的时区调整成 UTC(+0)。
|
||||
2. 建议先服务器装好**数据库**,再进行本地开发。
|
||||
{{% /alert %}}
|
||||
@@ -47,9 +47,10 @@ git clone git@github.com:<github_username>/FastGPT.git
|
||||
|
||||
### 3. 安装数据库
|
||||
|
||||
第一次开发,需要先部署数据库,建议本地开发可以随便找一台 2C2G 的轻量小数据库实践。数据库部署教程:[Docker 快速部署](/docs/development/docker/)。部署完了,可以本地访问其数据库。
|
||||
|
||||
第一次开发,需要先部署数据库,建议本地开发可以随便找一台 2C2G 的轻量小数据库实践,或者新建文件夹并配置相关文件用以运行docker。数据库部署教程:[Docker 快速部署](/docs/development/docker/)。部署完了,可以本地访问其数据库。
|
||||
{{% alert context="warning" %}}
|
||||
Mongo 数据库需要注意,需要注意在连接地址中增加 `directConnection=true` 参数,才能连接上副本集的数据库。
|
||||
{{% /alert %}}
|
||||
|
||||
### 4. 初始配置
|
||||
|
||||
@@ -57,7 +58,7 @@ Mongo 数据库需要注意,需要注意在连接地址中增加 `directConnec
|
||||
|
||||
**1. 环境变量**
|
||||
|
||||
复制`.env.template`文件,在同级目录下生成一个`.env.local` 文件,修改`.env.local` 里内容才是有效的变量。变量说明见 .env.template
|
||||
复制`.env.template`文件,在同级目录下生成一个`.env.local` 文件,修改`.env.local` 里内容才是有效的变量。变量说明见 .env.template,主要需要修改`API_KEY`和数据库的地址与端口以及数据库账号的用户名和密码,具体配置需要和docker配置文件相同,其中用户名和密码如需修改需要修改docker配置文件、数据库和`.env.local`文件,不能只改一处。
|
||||
|
||||
**2. config 配置文件**
|
||||
|
||||
@@ -73,7 +74,7 @@ Mongo 数据库需要注意,需要注意在连接地址中增加 `directConnec
|
||||
|
||||
### 5. 运行
|
||||
|
||||
可参考项目根目录下的 `dev.md`
|
||||
可参考项目根目录下的 `dev.md`,第一次编译运行可能会有点慢,需要点耐心哦
|
||||
|
||||
```bash
|
||||
# 给自动化脚本代码执行权限(非 linux 系统, 可以手动执行里面的 postinstall.sh 文件内容)
|
||||
@@ -114,7 +115,6 @@ make build name=app image=registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8
|
||||
|
||||
如果遇到问题,比如合并冲突或不知道如何打开拉取请求,请查看 GitHub 的[拉取请求教程](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests),了解如何解决合并冲突和其他问题。一旦您的 PR 被合并,您将自豪地被列为[贡献者表](https://github.com/labring/FastGPT/graphs/contributors)中的一员。
|
||||
|
||||
|
||||
## QA
|
||||
|
||||
### 本地数据库无法连接
|
||||
@@ -130,6 +130,7 @@ make build name=app image=registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8
|
||||
FastGPT 在`pnpm i`后会执行`postinstall`脚本,用于自动生成`ChakraUI`的`Type`。如果没有权限,可以先执行`chmod -R +x ./scripts/`,再执行`pnpm i`。
|
||||
|
||||
仍不可行的话,可以手动执行`./scripts/postinstall.sh`里的内容。
|
||||
*如果是Windows下的话,可以使用git bash给`postinstall`脚本添加执行权限并执行sh脚本*
|
||||
|
||||
### TypeError: Cannot read properties of null (reading 'useMemo' )
|
||||
|
||||
@@ -141,6 +142,9 @@ FastGPT 在`pnpm i`后会执行`postinstall`脚本,用于自动生成`ChakraUI
|
||||
4. `cd projects/app`
|
||||
5. `pnpm dev`
|
||||
|
||||
### Error response from daemon: error while creating mount source path 'XXX': mkdir XXX: file exists
|
||||
|
||||
这个错误可能是之前停止容器时有文件残留导致的,首先需要确认相关镜像都全部关闭,然后手动删除相关文件或者重启docker即可
|
||||
|
||||
## 加入社区
|
||||
|
||||
@@ -155,6 +159,7 @@ FastGPT 在`pnpm i`后会执行`postinstall`脚本,用于自动生成`ChakraUI
|
||||
FastGPT 使用了 nextjs 的 page route 作为框架。为了区分好前后端代码,在目录分配上会分成 global, service, web 3个自目录,分别对应着 `前后端共用`、`后端专用`、`前端专用`的代码。
|
||||
|
||||
### monorepo
|
||||
|
||||
FastGPT 采用 pnpm workspace 方式构建 monorepo 项目,主要分为两个部分:
|
||||
|
||||
- projects/app - FastGPT 主项目
|
||||
@@ -173,6 +178,7 @@ support - 支撑功能(用户体系,计费,鉴权等)
|
||||
common - 基础功能(日志管理,文件读写等)
|
||||
|
||||
{{% details title="代码结构说明" closed="true" %}}
|
||||
|
||||
```
|
||||
.
|
||||
├── .github // github 相关配置
|
||||
@@ -200,4 +206,5 @@ common - 基础功能(日志管理,文件读写等)
|
||||
├── README_ja.md
|
||||
├── dev.md
|
||||
```
|
||||
|
||||
{{% /details %}}
|
||||
|
||||
@@ -77,7 +77,7 @@ docker-compose up -d
|
||||
|
||||
商业版用户需要执行一个初始化,格式化团队信息。
|
||||
|
||||
发起 1 个 HTTP 请求 ({{rootkey}} 替换成环境变量里的 `rootkey`,{{host}} 替换成自己域名)
|
||||
发起 1 个 HTTP 请求 ({{rootkey}} 替换成环境变量里的 `rootkey`,{{host}} 替换成商业版域名)
|
||||
|
||||
```bash
|
||||
curl --location --request POST 'https://{{host}}/api/init/v468' \
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
---
|
||||
title: 'V4.8.7(进行中)'
|
||||
title: 'V4.8.7'
|
||||
description: 'FastGPT V4.8.7 更新说明'
|
||||
icon: 'upgrade'
|
||||
draft: false
|
||||
@@ -13,8 +13,8 @@ weight: 817
|
||||
|
||||
### 2. 修改镜像
|
||||
|
||||
- fastgpt 镜像 tag 修改成 v4.8.7-alpha
|
||||
- 商业版镜像 tag 修改成 v4.8.7-alpha
|
||||
- fastgpt 镜像 tag 修改成 v4.8.7
|
||||
- 商业版镜像 tag 修改成 v4.8.7
|
||||
|
||||
-------
|
||||
|
||||
@@ -24,4 +24,6 @@ weight: 817
|
||||
2. 新增 - 应用搜索
|
||||
3. 优化 - 对话框代码
|
||||
4. 优化 - 升级 Dockerfile node 和 pnpm 版本
|
||||
5. 修复 - 简易模式无法变更全局变量
|
||||
5. 优化 - local 域名部署,也可以正常使用 vision 模式
|
||||
6. 修复 - 简易模式无法变更全局变量
|
||||
7. 修复 - gpt4o 无法同时使用工具和图片
|
||||
|
||||
49
docSite/content/zh-cn/docs/development/upgrading/488.md
Normal file
49
docSite/content/zh-cn/docs/development/upgrading/488.md
Normal file
@@ -0,0 +1,49 @@
|
||||
---
|
||||
title: 'V4.8.8(进行中)'
|
||||
description: 'FastGPT V4.8.8 更新说明'
|
||||
icon: 'upgrade'
|
||||
draft: false
|
||||
toc: true
|
||||
weight: 816
|
||||
---
|
||||
|
||||
## 升级指南
|
||||
|
||||
### 1. 做好数据库备份
|
||||
|
||||
### 2. 修改镜像
|
||||
|
||||
- fastgpt 镜像 tag 修改成 v4.8.8-alpha
|
||||
- 商业版镜像 tag 修改成 v4.8.8-alpha
|
||||
|
||||
### 3. 执行初始化
|
||||
|
||||
从任意终端,发起 1 个 HTTP 请求。其中 {{rootkey}} 替换成环境变量里的 `rootkey`;{{host}} 替换成**FastGPT 域名**。
|
||||
|
||||
```bash
|
||||
curl --location --request POST 'https://{{host}}/api/admin/initv488' \
|
||||
--header 'rootkey: {{rootkey}}' \
|
||||
--header 'Content-Type: application/json'
|
||||
```
|
||||
|
||||
会初始化知识库的继承权限
|
||||
|
||||
-------
|
||||
|
||||
## V4.8.8 更新说明
|
||||
|
||||
1. 新增 - 重构系统插件的结构。允许向开源社区 PR 系统插件,具体可见: [如何向 FastGPT 社区提交系统插件](https://fael3z0zfze.feishu.cn/wiki/ERZnw9R26iRRG0kXZRec6WL9nwh)。
|
||||
2. 新增 - DuckDuckGo 系统插件。
|
||||
3. 新增 - 飞书 webhook 系统插件。
|
||||
4. 新增 - 修改变量填写方式。提示词输入框以以及工作流中所有 Textarea 输入框,支持输入 / 唤起变量选择,可直接选择所有上游输出值,无需动态引入。
|
||||
5. 商业版新增 - 知识库权限继承。
|
||||
6. 优化 - 移动端快速切换应用交互。
|
||||
7. 优化 - 节点图标。
|
||||
8. 优化 - 对话框引用增加额外复制案件,便于复制。增加引用内容折叠。
|
||||
9. 优化 - OpenAI sdk 升级,并自定义了 whisper 模型接口(未仔细查看 sdk 实现,但 sdk 中 whisper 接口,似乎无法适配一般 fastapi 接口)
|
||||
10. 修复 - Permission 表声明问题。
|
||||
11. 修复 - 并行执行节点,运行时间未正确记录。
|
||||
12. 修复 - 运行详情未正确展示嵌套节点信息。
|
||||
13. 修复 - 简易模式,首次进入,无法正确获取知识库配置。
|
||||
14. 修复 - Log debug level 配置无效。
|
||||
15. 修复 - 插件独立运行时,会将插件输入的值进行变量替换,可能导致后续节点变量异常。
|
||||
@@ -5,6 +5,7 @@ enableEmoji = true
|
||||
enableGitInfo = false # N.B. .GitInfo does not currently function with git submodule content directories
|
||||
|
||||
defaultContentLanguage = 'zh-cn'
|
||||
defaultContentLanguageInSubdir = false
|
||||
[languages]
|
||||
[languages.zh-cn]
|
||||
title = "FastGPT"
|
||||
|
||||
@@ -15,7 +15,7 @@
|
||||
{{ end }}
|
||||
|
||||
<!-- change -->
|
||||
{{ $repoURL = $repoURL | append "docSite/content" .Site.LanguagePrefix $filePath }}
|
||||
{{ $repoURL = $repoURL | append "docSite/content" .Site.Language.Lang $filePath }}
|
||||
{{ $repoURL = delimit $repoURL "/" }}
|
||||
{{ $editPageURL := replaceRE "(https?://)|(/)+" "$1$2" $repoURL }}
|
||||
|
||||
|
||||
@@ -121,8 +121,8 @@ services:
|
||||
restart: always
|
||||
fastgpt:
|
||||
container_name: fastgpt
|
||||
image: ghcr.io/labring/fastgpt:v4.8.6 # git
|
||||
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.6 # 阿里云
|
||||
image: ghcr.io/labring/fastgpt:v4.8.7 # git
|
||||
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.7 # 阿里云
|
||||
ports:
|
||||
- 3000:3000
|
||||
networks:
|
||||
@@ -179,7 +179,7 @@ services:
|
||||
- ./mysql:/var/lib/mysql
|
||||
oneapi:
|
||||
container_name: oneapi
|
||||
image: ghcr.io/songquanpeng/one-api:latest
|
||||
image: ghcr.io/songquanpeng/one-api:0.6.7
|
||||
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/one-api:v0.6.6 # 阿里云
|
||||
ports:
|
||||
- 3001:3000
|
||||
|
||||
@@ -79,8 +79,8 @@ services:
|
||||
restart: always
|
||||
fastgpt:
|
||||
container_name: fastgpt
|
||||
image: ghcr.io/labring/fastgpt:v4.8.6 # git
|
||||
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.6 # 阿里云
|
||||
image: ghcr.io/labring/fastgpt:v4.8.7 # git
|
||||
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.7 # 阿里云
|
||||
ports:
|
||||
- 3000:3000
|
||||
networks:
|
||||
@@ -136,7 +136,7 @@ services:
|
||||
- ./mysql:/var/lib/mysql
|
||||
oneapi:
|
||||
container_name: oneapi
|
||||
image: ghcr.io/songquanpeng/one-api:latest
|
||||
image: ghcr.io/songquanpeng/one-api:0.6.7
|
||||
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/one-api:v0.6.6 # 阿里云
|
||||
ports:
|
||||
- 3001:3000
|
||||
|
||||
@@ -60,8 +60,8 @@ services:
|
||||
restart: always
|
||||
fastgpt:
|
||||
container_name: fastgpt
|
||||
image: ghcr.io/labring/fastgpt:v4.8.6 # git
|
||||
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.6 # 阿里云
|
||||
image: ghcr.io/labring/fastgpt:v4.8.7 # git
|
||||
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.7 # 阿里云
|
||||
ports:
|
||||
- 3000:3000
|
||||
networks:
|
||||
@@ -117,7 +117,7 @@ services:
|
||||
- ./mysql:/var/lib/mysql
|
||||
oneapi:
|
||||
container_name: oneapi
|
||||
image: ghcr.io/songquanpeng/one-api:latest
|
||||
image: ghcr.io/songquanpeng/one-api:0.6.7
|
||||
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/one-api:v0.6.6 # 阿里云
|
||||
ports:
|
||||
- 3001:3000
|
||||
|
||||
11
package.json
11
package.json
@@ -9,16 +9,17 @@
|
||||
"gen:theme-typings": "chakra-cli tokens packages/web/styles/theme.ts --out node_modules/.pnpm/node_modules/@chakra-ui/styled-system/dist/theming.types.d.ts",
|
||||
"postinstall": "sh ./scripts/postinstall.sh",
|
||||
"initIcon": "node ./scripts/icon/init.js",
|
||||
"previewIcon": "node ./scripts/icon/index.js"
|
||||
"previewIcon": "node ./scripts/icon/index.js",
|
||||
"checkI18n": "node ./scripts/i18n/delete-unused-keys.js"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@chakra-ui/cli": "^2.4.1",
|
||||
"husky": "^8.0.3",
|
||||
"i18next": "23.10.0",
|
||||
"lint-staged": "^13.3.0",
|
||||
"next-i18next": "15.2.0",
|
||||
"i18next": "23.11.5",
|
||||
"next-i18next": "15.3.0",
|
||||
"react-i18next": "14.1.2",
|
||||
"prettier": "3.2.4",
|
||||
"react-i18next": "13.5.0",
|
||||
"zhlint": "^0.7.4"
|
||||
},
|
||||
"lint-staged": {
|
||||
@@ -29,4 +30,4 @@
|
||||
"node": ">=18.16.0",
|
||||
"pnpm": ">=9.0.0"
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -8,8 +8,8 @@ export enum DatasetErrEnum {
|
||||
unAuthDatasetCollection = 'unAuthDatasetCollection',
|
||||
unAuthDatasetData = 'unAuthDatasetData',
|
||||
unAuthDatasetFile = 'unAuthDatasetFile',
|
||||
|
||||
unLinkCollection = 'unLinkCollection'
|
||||
unLinkCollection = 'unLinkCollection',
|
||||
invalidVectorModelOrQAModel = 'invalidVectorModelOrQAModel'
|
||||
}
|
||||
const datasetErr = [
|
||||
{
|
||||
@@ -39,6 +39,10 @@ const datasetErr = [
|
||||
{
|
||||
statusText: DatasetErrEnum.unLinkCollection,
|
||||
message: 'core.dataset.error.unLinkCollection'
|
||||
},
|
||||
{
|
||||
statusText: DatasetErrEnum.invalidVectorModelOrQAModel,
|
||||
message: 'core.dataset.error.invalidVectorModelOrQAModel'
|
||||
}
|
||||
];
|
||||
export default datasetErr.reduce((acc, cur, index) => {
|
||||
|
||||
@@ -3,7 +3,8 @@ import { ErrType } from '../errorCode';
|
||||
/* dataset: 506000 */
|
||||
export enum OpenApiErrEnum {
|
||||
unExist = 'openapiUnExist',
|
||||
unAuth = 'openapiUnAuth'
|
||||
unAuth = 'openapiUnAuth',
|
||||
exceedLimit = 'openapiExceedLimit'
|
||||
}
|
||||
const errList = [
|
||||
{
|
||||
@@ -13,6 +14,10 @@ const errList = [
|
||||
{
|
||||
statusText: OpenApiErrEnum.unAuth,
|
||||
message: '无权操作该 Api Key'
|
||||
},
|
||||
{
|
||||
statusText: OpenApiErrEnum.exceedLimit,
|
||||
message: '最多 10 组 API 密钥'
|
||||
}
|
||||
];
|
||||
export default errList.reduce((acc, cur, index) => {
|
||||
|
||||
@@ -144,7 +144,7 @@ const commonSplit = (props: SplitProps): SplitResponse => {
|
||||
];
|
||||
}
|
||||
|
||||
const isCustomSteep = checkIsCustomStep(step);
|
||||
const isCustomStep = checkIsCustomStep(step);
|
||||
const isMarkdownSplit = checkIsMarkdownSplit(step);
|
||||
const independentChunk = checkIndependentChunk(step);
|
||||
|
||||
@@ -154,7 +154,7 @@ const commonSplit = (props: SplitProps): SplitResponse => {
|
||||
.replace(
|
||||
reg,
|
||||
(() => {
|
||||
if (isCustomSteep) return splitMarker;
|
||||
if (isCustomStep) return splitMarker;
|
||||
if (independentChunk) return `${splitMarker}$1`;
|
||||
return `$1${splitMarker}`;
|
||||
})()
|
||||
|
||||
@@ -32,9 +32,12 @@ export type FastGPTFeConfigsType = {
|
||||
show_promotion?: boolean;
|
||||
show_team_chat?: boolean;
|
||||
concatMd?: string;
|
||||
|
||||
docUrl?: string;
|
||||
chatbotUrl?: string;
|
||||
openAPIDocUrl?: string;
|
||||
systemPluginCourseUrl?: string;
|
||||
|
||||
systemTitle?: string;
|
||||
systemDescription?: string;
|
||||
googleClientVerKey?: string;
|
||||
@@ -70,9 +73,3 @@ export type SystemEnvType = {
|
||||
oneapiUrl?: string;
|
||||
chatApiKey?: string;
|
||||
};
|
||||
|
||||
// declare global {
|
||||
// var feConfigs: FastGPTFeConfigsType;
|
||||
// var systemEnv: SystemEnvType;
|
||||
// var systemInitd: boolean;
|
||||
// }
|
||||
|
||||
@@ -2,8 +2,8 @@ import type { LLMModelItemType, VectorModelItemType } from './model.d';
|
||||
|
||||
export const defaultQAModels: LLMModelItemType[] = [
|
||||
{
|
||||
model: 'gpt-3.5-turbo',
|
||||
name: 'gpt-3.5-turbo',
|
||||
model: 'gpt-4o-mini',
|
||||
name: 'gpt-4o-mini',
|
||||
maxContext: 16000,
|
||||
maxResponse: 16000,
|
||||
quoteMaxToken: 13000,
|
||||
|
||||
@@ -6,27 +6,29 @@ import { getAppChatConfig } from '../workflow/utils';
|
||||
import { StoreNodeItemType } from '../workflow/type/node';
|
||||
import { DatasetSearchModeEnum } from '../dataset/constants';
|
||||
|
||||
export const getDefaultAppForm = (): AppSimpleEditFormType => ({
|
||||
aiSettings: {
|
||||
model: 'gpt-3.5-turbo',
|
||||
systemPrompt: '',
|
||||
temperature: 0,
|
||||
isResponseAnswerText: true,
|
||||
maxHistories: 6,
|
||||
maxToken: 4000
|
||||
},
|
||||
dataset: {
|
||||
datasets: [],
|
||||
similarity: 0.4,
|
||||
limit: 1500,
|
||||
searchMode: DatasetSearchModeEnum.embedding,
|
||||
usingReRank: false,
|
||||
datasetSearchUsingExtensionQuery: false,
|
||||
datasetSearchExtensionBg: ''
|
||||
},
|
||||
selectedTools: [],
|
||||
chatConfig: {}
|
||||
});
|
||||
export const getDefaultAppForm = (): AppSimpleEditFormType => {
|
||||
return {
|
||||
aiSettings: {
|
||||
model: 'gpt-4o-mini',
|
||||
systemPrompt: '',
|
||||
temperature: 0,
|
||||
isResponseAnswerText: true,
|
||||
maxHistories: 6,
|
||||
maxToken: 4000
|
||||
},
|
||||
dataset: {
|
||||
datasets: [],
|
||||
similarity: 0.4,
|
||||
limit: 1500,
|
||||
searchMode: DatasetSearchModeEnum.embedding,
|
||||
usingReRank: false,
|
||||
datasetSearchUsingExtensionQuery: true,
|
||||
datasetSearchExtensionBg: ''
|
||||
},
|
||||
selectedTools: [],
|
||||
chatConfig: {}
|
||||
};
|
||||
};
|
||||
|
||||
/* format app nodes to edit form */
|
||||
export const appWorkflow2Form = ({
|
||||
|
||||
@@ -56,7 +56,4 @@ export enum ChatStatusEnum {
|
||||
finish = 'finish'
|
||||
}
|
||||
|
||||
export const IMG_BLOCK_KEY = 'img-block';
|
||||
export const FILE_BLOCK_KEY = 'file-block';
|
||||
|
||||
export const MARKDOWN_QUOTE_SIGN = 'QUOTE SIGN';
|
||||
|
||||
1
packages/global/core/dataset/api.d.ts
vendored
1
packages/global/core/dataset/api.d.ts
vendored
@@ -10,7 +10,6 @@ export type DatasetUpdateBody = {
|
||||
name?: string;
|
||||
avatar?: string;
|
||||
intro?: string;
|
||||
permission?: DatasetSchemaType['permission']; // TODO: Should be deleted.
|
||||
agentModel?: LLMModelItemType;
|
||||
status?: DatasetSchemaType['status'];
|
||||
|
||||
|
||||
@@ -8,22 +8,22 @@ export enum DatasetTypeEnum {
|
||||
export const DatasetTypeMap = {
|
||||
[DatasetTypeEnum.folder]: {
|
||||
icon: 'common/folderFill',
|
||||
label: 'Folder Dataset',
|
||||
label: 'folder_dataset',
|
||||
collectionLabel: 'common.Folder'
|
||||
},
|
||||
[DatasetTypeEnum.dataset]: {
|
||||
icon: 'core/dataset/commonDataset',
|
||||
label: 'Common Dataset',
|
||||
label: 'common_dataset',
|
||||
collectionLabel: 'common.File'
|
||||
},
|
||||
[DatasetTypeEnum.websiteDataset]: {
|
||||
icon: 'core/dataset/websiteDataset',
|
||||
label: 'Website Dataset',
|
||||
label: 'website_dataset',
|
||||
collectionLabel: 'common.Website'
|
||||
},
|
||||
[DatasetTypeEnum.externalFile]: {
|
||||
icon: 'core/dataset/externalDataset',
|
||||
label: 'External File',
|
||||
label: 'external_file',
|
||||
collectionLabel: 'common.File'
|
||||
}
|
||||
};
|
||||
|
||||
21
packages/global/core/dataset/type.d.ts
vendored
21
packages/global/core/dataset/type.d.ts
vendored
@@ -1,4 +1,4 @@
|
||||
import { PermissionValueType } from 'support/permission/type';
|
||||
import { PermissionSchemaType } from '../../support/permission/type';
|
||||
import type { LLMModelItemType, VectorModelItemType } from '../../core/ai/model.d';
|
||||
import { PermissionTypeEnum } from '../../support/permission/constant';
|
||||
import { PushDatasetDataChunkProps } from './api';
|
||||
@@ -12,31 +12,28 @@ import {
|
||||
import { DatasetPermission } from '../../support/permission/dataset/controller';
|
||||
import { Permission } from '../../support/permission/controller';
|
||||
|
||||
/* schema */
|
||||
export type DatasetSchemaType = {
|
||||
_id: string;
|
||||
parentId: string;
|
||||
parentId?: string;
|
||||
userId: string;
|
||||
teamId: string;
|
||||
tmbId: string;
|
||||
updateTime: Date;
|
||||
|
||||
avatar: string;
|
||||
name: string;
|
||||
vectorModel: string;
|
||||
agentModel: string;
|
||||
intro: string;
|
||||
type: DatasetTypeEnum;
|
||||
type: `${DatasetTypeEnum}`;
|
||||
status: `${DatasetStatusEnum}`;
|
||||
// permission: DatasetPermission;
|
||||
|
||||
// metadata
|
||||
websiteConfig?: {
|
||||
url: string;
|
||||
selector: string;
|
||||
};
|
||||
externalReadUrl?: string;
|
||||
defaultPermission: PermissionValueType;
|
||||
};
|
||||
} & PermissionSchemaType;
|
||||
// } & PermissionSchemaType;
|
||||
|
||||
export type DatasetCollectionSchemaType = {
|
||||
_id: string;
|
||||
@@ -133,15 +130,13 @@ export type DatasetSimpleItemType = {
|
||||
};
|
||||
export type DatasetListItemType = {
|
||||
_id: string;
|
||||
parentId: string;
|
||||
avatar: string;
|
||||
name: string;
|
||||
intro: string;
|
||||
type: DatasetTypeEnum;
|
||||
type: `${DatasetTypeEnum}`;
|
||||
permission: DatasetPermission;
|
||||
vectorModel: VectorModelItemType;
|
||||
defaultPermission: PermissionValueType;
|
||||
};
|
||||
} & PermissionSchemaType;
|
||||
|
||||
export type DatasetItemType = Omit<DatasetSchemaType, 'vectorModel' | 'agentModel'> & {
|
||||
vectorModel: VectorModelItemType;
|
||||
|
||||
2
packages/global/core/plugin/type.d.ts
vendored
2
packages/global/core/plugin/type.d.ts
vendored
@@ -32,7 +32,7 @@ export type PluginItemSchema = {
|
||||
export type PluginTemplateType = PluginRuntimeType & {
|
||||
author?: string;
|
||||
id: string;
|
||||
source: `${PluginSourceEnum}`;
|
||||
source: PluginSourceEnum;
|
||||
templateType: FlowNodeTemplateType['templateType'];
|
||||
intro: string;
|
||||
version: string;
|
||||
|
||||
@@ -4,6 +4,10 @@ export enum FlowNodeTemplateTypeEnum {
|
||||
function = 'function',
|
||||
tools = 'tools',
|
||||
|
||||
search = 'search',
|
||||
multimodal = 'multimodal',
|
||||
communication = 'communication',
|
||||
|
||||
other = 'other',
|
||||
teamApp = 'teamApp'
|
||||
}
|
||||
|
||||
@@ -67,11 +67,12 @@ export type RuntimeNodeItemType = {
|
||||
};
|
||||
|
||||
export type PluginRuntimeType = {
|
||||
id: string;
|
||||
teamId?: string;
|
||||
name: string;
|
||||
avatar: string;
|
||||
showStatus?: boolean;
|
||||
isTool?: boolean;
|
||||
currentCost?: number;
|
||||
nodes: StoreNodeItemType[];
|
||||
edges: StoreEdgeItemType[];
|
||||
};
|
||||
|
||||
@@ -26,7 +26,7 @@ export const AiChatModule: FlowNodeTemplateType = {
|
||||
flowNodeType: FlowNodeTypeEnum.chatNode,
|
||||
sourceHandle: getHandleConfig(true, true, true, true),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
avatar: '/imgs/workflow/AI.png',
|
||||
avatar: 'core/workflow/template/aiChat',
|
||||
name: 'AI 对话',
|
||||
intro: 'AI 大模型对话',
|
||||
showStatus: true,
|
||||
|
||||
@@ -13,7 +13,7 @@ export const AssignedAnswerModule: FlowNodeTemplateType = {
|
||||
flowNodeType: FlowNodeTypeEnum.answerNode,
|
||||
sourceHandle: getHandleConfig(true, true, true, true),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
avatar: '/imgs/workflow/reply.png',
|
||||
avatar: 'core/workflow/template/reply',
|
||||
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。非字符串内容传入时,会转成字符串进行输出。',
|
||||
|
||||
@@ -25,7 +25,7 @@ export const ClassifyQuestionModule: FlowNodeTemplateType = {
|
||||
flowNodeType: FlowNodeTypeEnum.classifyQuestion,
|
||||
sourceHandle: getHandleConfig(false, false, false, false),
|
||||
targetHandle: getHandleConfig(true, false, true, true),
|
||||
avatar: '/imgs/workflow/cq.png',
|
||||
avatar: 'core/workflow/template/questionClassify',
|
||||
name: '问题分类',
|
||||
intro: `根据用户的历史记录和当前问题判断该次提问的类型。可以添加多组问题类型,下面是一个模板例子:\n类型1: 打招呼\n类型2: 关于商品“使用”问题\n类型3: 关于商品“购买”问题\n类型4: 其他问题`,
|
||||
showStatus: true,
|
||||
|
||||
@@ -20,7 +20,7 @@ export const ContextExtractModule: FlowNodeTemplateType = {
|
||||
flowNodeType: FlowNodeTypeEnum.contentExtract,
|
||||
sourceHandle: getHandleConfig(true, true, true, true),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
avatar: '/imgs/workflow/extract.png',
|
||||
avatar: 'core/workflow/template/extractJson',
|
||||
name: '文本内容提取',
|
||||
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,
|
||||
|
||||
@@ -13,7 +13,7 @@ export const CustomFeedbackNode: FlowNodeTemplateType = {
|
||||
flowNodeType: FlowNodeTypeEnum.customFeedback,
|
||||
sourceHandle: getHandleConfig(true, true, true, true),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
avatar: '/imgs/workflow/customFeedback.svg',
|
||||
avatar: 'core/workflow/template/customFeedback',
|
||||
name: '自定义反馈',
|
||||
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。',
|
||||
version: '486',
|
||||
|
||||
@@ -37,7 +37,7 @@ export const DatasetConcatModule: FlowNodeTemplateType = {
|
||||
templateType: FlowNodeTemplateTypeEnum.other,
|
||||
sourceHandle: getHandleConfig(true, true, true, true),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
avatar: '/imgs/workflow/concat.svg',
|
||||
avatar: 'core/workflow/template/datasetConcat',
|
||||
name: '知识库搜索引用合并',
|
||||
intro: '可以将多个知识库搜索结果进行合并输出。使用 RRF 的合并方式进行最终排序输出。',
|
||||
showStatus: false,
|
||||
|
||||
@@ -23,7 +23,7 @@ export const DatasetSearchModule: FlowNodeTemplateType = {
|
||||
flowNodeType: FlowNodeTypeEnum.datasetSearchNode,
|
||||
sourceHandle: getHandleConfig(true, true, true, true),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
avatar: '/imgs/workflow/db.png',
|
||||
avatar: 'core/workflow/template/datasetSearch',
|
||||
name: '知识库搜索',
|
||||
intro: Dataset_SEARCH_DESC,
|
||||
showStatus: true,
|
||||
|
||||
@@ -20,7 +20,7 @@ export const HttpNode468: FlowNodeTemplateType = {
|
||||
flowNodeType: FlowNodeTypeEnum.httpRequest468,
|
||||
sourceHandle: getHandleConfig(true, true, true, true),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
avatar: '/imgs/workflow/http.png',
|
||||
avatar: 'core/workflow/template/httpRequest',
|
||||
name: 'HTTP 请求',
|
||||
intro: '可以发出一个 HTTP 请求,实现更为复杂的操作(联网搜索、数据库查询等)',
|
||||
showStatus: true,
|
||||
|
||||
@@ -18,7 +18,7 @@ export const IfElseNode: FlowNodeTemplateType = {
|
||||
flowNodeType: FlowNodeTypeEnum.ifElseNode,
|
||||
sourceHandle: getHandleConfig(false, false, false, false),
|
||||
targetHandle: getHandleConfig(true, false, true, true),
|
||||
avatar: '/imgs/workflow/ifElse.svg',
|
||||
avatar: 'core/workflow/template/ifelse',
|
||||
name: '判断器',
|
||||
intro: '根据一定的条件,执行不同的分支。',
|
||||
showStatus: true,
|
||||
|
||||
@@ -26,7 +26,7 @@ export const LafModule: FlowNodeTemplateType = {
|
||||
flowNodeType: FlowNodeTypeEnum.lafModule,
|
||||
sourceHandle: getHandleConfig(true, true, true, true),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
avatar: '/imgs/workflow/laf.png',
|
||||
avatar: 'core/workflow/template/lafDispatch',
|
||||
name: 'Laf 函数调用(测试)',
|
||||
intro: '可以调用Laf账号下的云函数。',
|
||||
showStatus: true,
|
||||
|
||||
@@ -11,7 +11,7 @@ export const PluginInputModule: FlowNodeTemplateType = {
|
||||
targetHandle: getHandleConfig(false, false, false, false),
|
||||
unique: true,
|
||||
forbidDelete: true,
|
||||
avatar: '/imgs/workflow/input.png',
|
||||
avatar: 'core/workflow/template/workflowStart',
|
||||
name: '插件输入',
|
||||
intro: '可以配置插件需要哪些输入,利用这些输入来运行插件',
|
||||
showStatus: false,
|
||||
|
||||
@@ -11,7 +11,7 @@ export const PluginOutputModule: FlowNodeTemplateType = {
|
||||
targetHandle: getHandleConfig(false, false, false, true),
|
||||
unique: true,
|
||||
forbidDelete: true,
|
||||
avatar: '/imgs/workflow/output.png',
|
||||
avatar: 'core/workflow/template/pluginOutput',
|
||||
name: '自定义插件输出',
|
||||
intro: '自定义配置外部输出,使用插件时,仅暴露自定义配置的输出',
|
||||
showStatus: false,
|
||||
|
||||
@@ -19,12 +19,12 @@ import { LLMModelTypeEnum } from '../../../ai/constants';
|
||||
import { getHandleConfig } from '../utils';
|
||||
|
||||
export const AiQueryExtension: FlowNodeTemplateType = {
|
||||
id: FlowNodeTypeEnum.chatNode,
|
||||
id: FlowNodeTypeEnum.queryExtension,
|
||||
templateType: FlowNodeTemplateTypeEnum.other,
|
||||
flowNodeType: FlowNodeTypeEnum.queryExtension,
|
||||
sourceHandle: getHandleConfig(true, true, true, true),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
avatar: '/imgs/workflow/cfr.svg',
|
||||
avatar: 'core/workflow/template/queryExtension',
|
||||
name: '问题优化',
|
||||
intro:
|
||||
'使用问题优化功能,可以提高知识库连续对话时搜索的精度。使用该功能后,会先利用 AI 根据上下文构建一个或多个新的检索词,这些检索词更利于进行知识库搜索。该模块已内置在知识库搜索模块中,如果您仅进行一次知识库搜索,可直接使用知识库内置的补全功能。',
|
||||
|
||||
@@ -19,7 +19,7 @@ export const RunAppModule: FlowNodeTemplateType = {
|
||||
flowNodeType: FlowNodeTypeEnum.runApp,
|
||||
sourceHandle: getHandleConfig(true, true, true, true),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
avatar: '/imgs/workflow/app.png',
|
||||
avatar: 'core/workflow/template/runApp',
|
||||
name: '应用调用',
|
||||
intro: '可以选择一个其他应用进行调用',
|
||||
showStatus: true,
|
||||
|
||||
@@ -21,7 +21,7 @@ export const CodeNode: FlowNodeTemplateType = {
|
||||
flowNodeType: FlowNodeTypeEnum.code,
|
||||
sourceHandle: getHandleConfig(true, true, true, true),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
avatar: '/imgs/workflow/code.svg',
|
||||
avatar: 'core/workflow/template/codeRun',
|
||||
name: '代码运行',
|
||||
intro: '执行一段简单的脚本代码,通常用于进行复杂的数据处理。',
|
||||
showStatus: true,
|
||||
|
||||
@@ -9,7 +9,7 @@ export const StopToolNode: FlowNodeTemplateType = {
|
||||
flowNodeType: FlowNodeTypeEnum.stopTool,
|
||||
sourceHandle: getHandleConfig(false, false, false, false),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
avatar: '/imgs/workflow/toolStop.svg',
|
||||
avatar: 'core/workflow/template/stopTool',
|
||||
name: '工具调用终止',
|
||||
intro:
|
||||
'该模块需配置工具调用使用。当该模块被执行时,本次工具调用将会强制结束,并且不再调用AI针对工具调用结果回答问题。',
|
||||
|
||||
@@ -9,7 +9,7 @@ export const SystemConfigNode: FlowNodeTemplateType = {
|
||||
flowNodeType: FlowNodeTypeEnum.systemConfig,
|
||||
sourceHandle: getHandleConfig(false, false, false, false),
|
||||
targetHandle: getHandleConfig(false, false, false, false),
|
||||
avatar: '/imgs/workflow/userGuide.png',
|
||||
avatar: 'core/workflow/template/systemConfig',
|
||||
name: '系统配置',
|
||||
intro: '可以配置应用的系统参数。',
|
||||
unique: true,
|
||||
|
||||
@@ -19,7 +19,7 @@ export const TextEditorNode: FlowNodeTemplateType = {
|
||||
flowNodeType: FlowNodeTypeEnum.textEditor,
|
||||
sourceHandle: getHandleConfig(true, true, true, true),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
avatar: '/imgs/workflow/textEditor.svg',
|
||||
avatar: 'core/workflow/template/textConcat',
|
||||
name: '文本拼接',
|
||||
intro: '可对固定或传入的文本进行加工后输出,非字符串类型数据最终会转成字符串类型。',
|
||||
version: '486',
|
||||
|
||||
@@ -26,7 +26,7 @@ export const ToolModule: FlowNodeTemplateType = {
|
||||
templateType: FlowNodeTemplateTypeEnum.ai,
|
||||
sourceHandle: getHandleConfig(true, true, false, true),
|
||||
targetHandle: getHandleConfig(true, true, false, true),
|
||||
avatar: '/imgs/workflow/tool.svg',
|
||||
avatar: 'core/workflow/template/toolCall',
|
||||
name: '工具调用',
|
||||
intro: '通过AI模型自动选择一个或多个功能块进行调用,也可以对插件进行调用。',
|
||||
showStatus: true,
|
||||
|
||||
@@ -13,7 +13,7 @@ export const VariableUpdateNode: FlowNodeTemplateType = {
|
||||
flowNodeType: FlowNodeTypeEnum.variableUpdate,
|
||||
sourceHandle: getHandleConfig(true, true, true, true),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
avatar: '/imgs/workflow/variable.png',
|
||||
avatar: 'core/workflow/template/variableUpdate',
|
||||
name: '变量更新',
|
||||
intro: '可以更新指定节点的输出值或更新全局变量',
|
||||
showStatus: false,
|
||||
|
||||
@@ -14,7 +14,7 @@ export const WorkflowStart: FlowNodeTemplateType = {
|
||||
flowNodeType: FlowNodeTypeEnum.workflowStart,
|
||||
sourceHandle: getHandleConfig(false, true, false, false),
|
||||
targetHandle: getHandleConfig(false, false, false, false),
|
||||
avatar: '/imgs/workflow/userChatInput.svg',
|
||||
avatar: 'core/workflow/template/workflowStart',
|
||||
name: '流程开始',
|
||||
intro: '',
|
||||
forbidDelete: true,
|
||||
|
||||
13
packages/global/core/workflow/type/index.d.ts
vendored
13
packages/global/core/workflow/type/index.d.ts
vendored
@@ -35,6 +35,7 @@ export type WorkflowTemplateType = {
|
||||
avatar: string;
|
||||
intro?: string;
|
||||
author?: string;
|
||||
inputExplanationUrl?: string;
|
||||
version: string;
|
||||
|
||||
showStatus?: boolean;
|
||||
@@ -42,17 +43,29 @@ export type WorkflowTemplateType = {
|
||||
|
||||
workflow: WorkflowTemplateBasicType;
|
||||
};
|
||||
|
||||
// template market
|
||||
export type TemplateMarketItemType = WorkflowTemplateType & {
|
||||
tags?: { id: string; label: string }[];
|
||||
};
|
||||
|
||||
// system plugin
|
||||
export type SystemPluginTemplateItemType = WorkflowTemplateType & {
|
||||
templateType: FlowNodeTemplateTypeEnum;
|
||||
isTool?: boolean;
|
||||
|
||||
// commercial plugin config
|
||||
originCost: number; // n points/one time
|
||||
currentCost: number;
|
||||
|
||||
isActive?: boolean;
|
||||
inputConfig?: {
|
||||
// Render config input form. Find the corresponding node and replace the variable directly
|
||||
key: string;
|
||||
label: string;
|
||||
description: string;
|
||||
value?: any;
|
||||
}[];
|
||||
|
||||
workflow: WorkflowTemplateBasicType;
|
||||
};
|
||||
|
||||
4
packages/global/core/workflow/type/node.d.ts
vendored
4
packages/global/core/workflow/type/node.d.ts
vendored
@@ -31,6 +31,7 @@ export type FlowNodeCommonType = {
|
||||
avatar?: string;
|
||||
name: string;
|
||||
intro?: string; // template list intro
|
||||
inputExplanationUrl?: string;
|
||||
showStatus?: boolean; // chatting response step status
|
||||
version: string;
|
||||
|
||||
@@ -70,7 +71,7 @@ export type FlowNodeTemplateType = FlowNodeCommonType & {
|
||||
export type NodeTemplateListItemType = {
|
||||
id: string; // 系统节点-系统节点的 id, 系统插件-插件的 id,团队应用的 id
|
||||
flowNodeType: FlowNodeTypeEnum; // render node card
|
||||
parentId?: string;
|
||||
parentId?: ParentIdType;
|
||||
isFolder?: boolean;
|
||||
templateType: FlowNodeTemplateTypeEnum;
|
||||
avatar?: string;
|
||||
@@ -79,6 +80,7 @@ export type NodeTemplateListItemType = {
|
||||
isTool?: boolean;
|
||||
author?: string;
|
||||
unique?: boolean; // 唯一的
|
||||
currentCost?: number; // 当前积分消耗
|
||||
};
|
||||
|
||||
export type NodeTemplateListType = {
|
||||
|
||||
@@ -3,9 +3,10 @@ import {
|
||||
WorkflowIOValueTypeEnum,
|
||||
NodeInputKeyEnum,
|
||||
VariableInputEnum,
|
||||
variableMap
|
||||
variableMap,
|
||||
VARIABLE_NODE_ID
|
||||
} from './constants';
|
||||
import { FlowNodeInputItemType, FlowNodeOutputItemType } from './type/io.d';
|
||||
import { FlowNodeInputItemType, FlowNodeOutputItemType, ReferenceValueProps } from './type/io.d';
|
||||
import { StoreNodeItemType } from './type/node';
|
||||
import type {
|
||||
VariableItemType,
|
||||
@@ -23,6 +24,7 @@ import {
|
||||
} from '../app/constants';
|
||||
import { IfElseResultEnum } from './template/system/ifElse/constant';
|
||||
import { RuntimeNodeItemType } from './runtime/type';
|
||||
import { getReferenceVariableValue } from './runtime/utils';
|
||||
|
||||
export const getHandleId = (nodeId: string, type: 'source' | 'target', key: string) => {
|
||||
return `${nodeId}-${type}-${key}`;
|
||||
@@ -226,3 +228,90 @@ export const updatePluginInputByVariables = (
|
||||
: node
|
||||
);
|
||||
};
|
||||
|
||||
export const removePluginInputVariables = (
|
||||
variables: Record<string, any>,
|
||||
nodes: RuntimeNodeItemType[]
|
||||
) => {
|
||||
const pluginInputNode = nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.pluginInput);
|
||||
|
||||
if (!pluginInputNode) return variables;
|
||||
return Object.keys(variables).reduce(
|
||||
(acc, key) => {
|
||||
if (!pluginInputNode.inputs.find((input) => input.key === key)) {
|
||||
acc[key] = variables[key];
|
||||
}
|
||||
return acc;
|
||||
},
|
||||
{} as Record<string, any>
|
||||
);
|
||||
};
|
||||
|
||||
export function replaceVariableLabel({
|
||||
text,
|
||||
nodes,
|
||||
variables,
|
||||
runningNode
|
||||
}: {
|
||||
text: any;
|
||||
nodes: RuntimeNodeItemType[];
|
||||
variables: Record<string, string | number>;
|
||||
runningNode: RuntimeNodeItemType;
|
||||
}) {
|
||||
if (typeof text !== 'string') return text;
|
||||
|
||||
const globalVariables = Object.keys(variables).map((key) => {
|
||||
return {
|
||||
nodeId: VARIABLE_NODE_ID,
|
||||
id: key,
|
||||
value: variables[key]
|
||||
};
|
||||
});
|
||||
|
||||
// Upstream node outputs
|
||||
const nodeVariables = nodes
|
||||
.map((node) => {
|
||||
return node.outputs.map((output) => {
|
||||
return {
|
||||
nodeId: node.nodeId,
|
||||
id: output.id,
|
||||
value: output.value
|
||||
};
|
||||
});
|
||||
})
|
||||
.flat();
|
||||
|
||||
// Get runningNode inputs(Will be replaced with reference)
|
||||
const customInputs = runningNode.inputs.flatMap((item) => {
|
||||
if (Array.isArray(item.value)) {
|
||||
return [
|
||||
{
|
||||
id: item.key,
|
||||
value: getReferenceVariableValue({
|
||||
value: item.value as ReferenceValueProps,
|
||||
nodes,
|
||||
variables
|
||||
}),
|
||||
nodeId: runningNode.nodeId
|
||||
}
|
||||
];
|
||||
}
|
||||
return [];
|
||||
});
|
||||
|
||||
const allVariables = [...globalVariables, ...nodeVariables, ...customInputs];
|
||||
|
||||
// Replace {{$xxx.xxx$}} to value
|
||||
for (const key in allVariables) {
|
||||
const val = allVariables[key];
|
||||
const regex = new RegExp(`\\{\\{\\$(${val.nodeId}\\.${val.id})\\$\\}\\}`, 'g');
|
||||
if (['string', 'number'].includes(typeof val.value)) {
|
||||
text = text.replace(regex, String(val.value));
|
||||
} else if (['object'].includes(typeof val.value)) {
|
||||
text = text.replace(regex, JSON.stringify(val.value));
|
||||
} else {
|
||||
continue;
|
||||
}
|
||||
}
|
||||
return text || '';
|
||||
}
|
||||
|
||||
@@ -10,13 +10,13 @@
|
||||
"js-yaml": "^4.1.0",
|
||||
"jschardet": "3.1.1",
|
||||
"nanoid": "^4.0.1",
|
||||
"next": "14.2.3",
|
||||
"openai": "4.28.0",
|
||||
"next": "14.2.5",
|
||||
"openai": "4.53.0",
|
||||
"openapi-types": "^12.1.3",
|
||||
"timezones-list": "^3.0.2"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/js-yaml": "^4.0.9",
|
||||
"@types/node": "^20.14.2"
|
||||
"@types/node": "20.14.0"
|
||||
}
|
||||
}
|
||||
|
||||
14
packages/global/support/permission/type.d.ts
vendored
14
packages/global/support/permission/type.d.ts
vendored
@@ -1,11 +1,13 @@
|
||||
import { TeamMemberWithUserSchema } from '../user/team/type';
|
||||
import { AuthUserTypeEnum, PermissionKeyEnum } from './constant';
|
||||
import { AuthUserTypeEnum, PermissionKeyEnum, PerResourceTypeEnum } from './constant';
|
||||
|
||||
// PermissionValueType, the type of permission's value is a number, which is a bit field actually.
|
||||
// It is spired by the permission system in Linux.
|
||||
// The lowest 3 bits present the permission of reading, writing and managing.
|
||||
// The higher bits are advanced permissions or extended permissions, which could be customized.
|
||||
export type PermissionValueType = number;
|
||||
export type ResourceType = `${PerResourceTypeEnum}`;
|
||||
|
||||
export type PermissionListType<T = {}> = Record<
|
||||
T | PermissionKeyEnum,
|
||||
{
|
||||
@@ -16,16 +18,6 @@ export type PermissionListType<T = {}> = Record<
|
||||
}
|
||||
>;
|
||||
|
||||
export type AuthResponseType = {
|
||||
teamId: string;
|
||||
tmbId: string;
|
||||
isOwner: boolean;
|
||||
canWrite: boolean;
|
||||
authType?: `${AuthUserTypeEnum}`;
|
||||
appId?: string;
|
||||
apikey?: string;
|
||||
};
|
||||
|
||||
export type ResourcePermissionType = {
|
||||
teamId: string;
|
||||
tmbId: string;
|
||||
|
||||
@@ -3,22 +3,13 @@ export const TeamMemberCollectionName = 'team_members';
|
||||
export const TeamTagsCollectionName = 'team_tags';
|
||||
|
||||
export enum TeamMemberRoleEnum {
|
||||
owner = 'owner',
|
||||
admin = 'admin',
|
||||
visitor = 'visitor'
|
||||
owner = 'owner'
|
||||
}
|
||||
|
||||
export const TeamMemberRoleMap = {
|
||||
[TeamMemberRoleEnum.owner]: {
|
||||
value: TeamMemberRoleEnum.owner,
|
||||
label: 'user.team.role.Owner'
|
||||
},
|
||||
[TeamMemberRoleEnum.admin]: {
|
||||
value: TeamMemberRoleEnum.admin,
|
||||
label: 'user.team.role.Admin'
|
||||
},
|
||||
[TeamMemberRoleEnum.visitor]: {
|
||||
value: TeamMemberRoleEnum.visitor,
|
||||
label: 'user.team.role.Visitor'
|
||||
}
|
||||
};
|
||||
|
||||
@@ -28,6 +19,7 @@ export enum TeamMemberStatusEnum {
|
||||
reject = 'reject',
|
||||
leave = 'leave'
|
||||
}
|
||||
|
||||
export const TeamMemberStatusMap = {
|
||||
[TeamMemberStatusEnum.waiting]: {
|
||||
label: 'user.team.member.waiting',
|
||||
@@ -46,4 +38,5 @@ export const TeamMemberStatusMap = {
|
||||
color: 'red.600'
|
||||
}
|
||||
};
|
||||
|
||||
export const notLeaveStatus = { $ne: TeamMemberStatusEnum.leave };
|
||||
|
||||
@@ -2,11 +2,15 @@
|
||||
"name": "@fastgpt/plugins",
|
||||
"version": "1.0.0",
|
||||
"dependencies": {
|
||||
"duck-duck-scrape": "^2.2.5",
|
||||
"lodash": "^4.17.21",
|
||||
"axios": "^1.5.1",
|
||||
"expr-eval": "^2.0.2"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@fastgpt/global": "workspace:*",
|
||||
"@fastgpt/service": "workspace:*",
|
||||
"@types/node": "^20.14.2"
|
||||
"@types/lodash": "^4.14.191",
|
||||
"@types/node": "20.14.0"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,57 +1,143 @@
|
||||
import { PluginSourceEnum } from '@fastgpt/global/core/plugin/constants';
|
||||
import { FlowNodeTemplateTypeEnum } from '@fastgpt/global/core/workflow/constants';
|
||||
import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
|
||||
import { SystemPluginResponseType } from './type';
|
||||
import { NodeTemplateListItemType } from '@fastgpt/global/core/workflow/type/node';
|
||||
import { isProduction } from '../service/common/system/constants';
|
||||
import { FastGPTProUrl, isProduction } from '../service/common/system/constants';
|
||||
import { GET, POST } from '@fastgpt/service/common/api/plusRequest';
|
||||
import { SystemPluginTemplateItemType } from '@fastgpt/global/core/workflow/type';
|
||||
import { cloneDeep } from 'lodash';
|
||||
import { WorkerNameEnum, runWorker } from '@fastgpt/service/worker/utils';
|
||||
|
||||
let list = ['getTime', 'fetchUrl', 'mathExprVal'];
|
||||
// Run in main thread
|
||||
const staticPluginList = [
|
||||
'getTime',
|
||||
'fetchUrl',
|
||||
'Doc2X',
|
||||
'Doc2X/URLPDF2text',
|
||||
'Doc2X/URLImg2text',
|
||||
'feishu'
|
||||
];
|
||||
// Run in worker thread (Have npm packages)
|
||||
const packagePluginList = [
|
||||
'mathExprVal',
|
||||
'duckduckgo',
|
||||
'duckduckgo/search',
|
||||
'duckduckgo/searchImg',
|
||||
'duckduckgo/searchNews',
|
||||
'duckduckgo/searchVideo'
|
||||
];
|
||||
|
||||
const list = [...staticPluginList, ...packagePluginList];
|
||||
|
||||
/* Get plugins */
|
||||
export const getCommunityPlugins = () => {
|
||||
if (isProduction && global.communitySystemPlugins) return global.communitySystemPlugins;
|
||||
return list.map<SystemPluginTemplateItemType>((name) => {
|
||||
const config = require(`./src/${name}/template.json`);
|
||||
|
||||
global.communitySystemPlugins = list.map((name) => ({
|
||||
...require(`./src/${name}/template.json`),
|
||||
id: `${PluginSourceEnum.community}-${name}`
|
||||
}));
|
||||
const isFolder = list.find((item) => item.startsWith(`${name}/`));
|
||||
|
||||
return global.communitySystemPlugins;
|
||||
const parentIdList = name.split('/').slice(0, -1);
|
||||
const parentId =
|
||||
parentIdList.length > 0 ? `${PluginSourceEnum.community}-${parentIdList.join('/')}` : null;
|
||||
|
||||
return {
|
||||
...config,
|
||||
id: `${PluginSourceEnum.community}-${name}`,
|
||||
isFolder,
|
||||
parentId,
|
||||
isActive: true
|
||||
};
|
||||
});
|
||||
};
|
||||
const getCommercialPlugins = () => {
|
||||
return GET<SystemPluginTemplateItemType[]>('/core/app/plugin/getSystemPlugins');
|
||||
};
|
||||
export const getSystemPluginTemplates = async (refresh = false) => {
|
||||
if (isProduction && global.systemPlugins && !refresh) return cloneDeep(global.systemPlugins);
|
||||
|
||||
export const getCommunityPluginsTemplateList = () => {
|
||||
return getCommunityPlugins().map<NodeTemplateListItemType>((plugin) => ({
|
||||
id: plugin.id,
|
||||
templateType: plugin.templateType ?? FlowNodeTemplateTypeEnum.other,
|
||||
flowNodeType: FlowNodeTypeEnum.pluginModule,
|
||||
avatar: plugin.avatar,
|
||||
name: plugin.name,
|
||||
intro: plugin.intro,
|
||||
isTool: plugin.isTool
|
||||
}));
|
||||
try {
|
||||
if (!global.systemPlugins) {
|
||||
global.systemPlugins = [];
|
||||
}
|
||||
|
||||
global.systemPlugins = FastGPTProUrl ? await getCommercialPlugins() : getCommunityPlugins();
|
||||
|
||||
return cloneDeep(global.systemPlugins);
|
||||
} catch (error) {
|
||||
//@ts-ignore
|
||||
global.systemPlugins = undefined;
|
||||
return Promise.reject(error);
|
||||
}
|
||||
};
|
||||
|
||||
export const getCommunityCb = async () => {
|
||||
if (isProduction && global.communitySystemPluginCb) return global.communitySystemPluginCb;
|
||||
|
||||
// Do not modify the following code
|
||||
const loadModule = async (name: string) => {
|
||||
const loadCommunityModule = async (name: string) => {
|
||||
const module = await import(`./src/${name}/index`);
|
||||
return module.default;
|
||||
};
|
||||
|
||||
const result = await Promise.all(
|
||||
list.map(async (name) => ({
|
||||
name,
|
||||
cb: await loadModule(name)
|
||||
}))
|
||||
const result = (
|
||||
await Promise.all(
|
||||
list.map(async (name) => {
|
||||
try {
|
||||
return {
|
||||
name,
|
||||
cb: staticPluginList.includes(name)
|
||||
? await loadCommunityModule(name)
|
||||
: (e: any) => {
|
||||
return runWorker(WorkerNameEnum.systemPluginRun, {
|
||||
pluginName: name,
|
||||
data: e
|
||||
});
|
||||
}
|
||||
};
|
||||
} catch (error) {}
|
||||
})
|
||||
)
|
||||
).filter(Boolean) as {
|
||||
name: string;
|
||||
cb: any;
|
||||
}[];
|
||||
|
||||
return result.reduce<Record<string, (e: any) => SystemPluginResponseType>>(
|
||||
(acc, { name, cb }) => {
|
||||
acc[name] = cb;
|
||||
return acc;
|
||||
},
|
||||
{}
|
||||
);
|
||||
|
||||
global.communitySystemPluginCb = result.reduce<
|
||||
Record<string, (e: any) => SystemPluginResponseType>
|
||||
>((acc, { name, cb }) => {
|
||||
acc[name] = cb;
|
||||
return acc;
|
||||
}, {});
|
||||
|
||||
return global.communitySystemPluginCb;
|
||||
};
|
||||
const getCommercialCb = async () => {
|
||||
const plugins = await getSystemPluginTemplates();
|
||||
const result = plugins.map((plugin) => {
|
||||
const name = plugin.id.split('-')[1];
|
||||
|
||||
return {
|
||||
name,
|
||||
cb: (e: any) =>
|
||||
POST<Record<string, any>>('/core/app/plugin/run', {
|
||||
pluginName: name,
|
||||
data: e
|
||||
})
|
||||
};
|
||||
});
|
||||
|
||||
return result.reduce<Record<string, (e: any) => SystemPluginResponseType>>(
|
||||
(acc, { name, cb }) => {
|
||||
acc[name] = cb;
|
||||
return acc;
|
||||
},
|
||||
{}
|
||||
);
|
||||
};
|
||||
export const getSystemPluginCb = async () => {
|
||||
if (isProduction && global.systemPluginCb) return global.systemPluginCb;
|
||||
|
||||
try {
|
||||
global.systemPluginCb = {};
|
||||
global.systemPluginCb = FastGPTProUrl ? await getCommercialCb() : await getCommunityCb();
|
||||
return global.systemPluginCb;
|
||||
} catch (error) {
|
||||
//@ts-ignore
|
||||
global.systemPluginCb = undefined;
|
||||
return Promise.reject(error);
|
||||
}
|
||||
};
|
||||
|
||||
24
packages/plugins/runtime/worker.ts
Normal file
24
packages/plugins/runtime/worker.ts
Normal file
@@ -0,0 +1,24 @@
|
||||
import { SystemPluginResponseType } from '../type';
|
||||
import { parentPort } from 'worker_threads';
|
||||
|
||||
const loadModule = async (name: string): Promise<(e: any) => SystemPluginResponseType> => {
|
||||
const module = await import(`../src/${name}/index`);
|
||||
return module.default;
|
||||
};
|
||||
|
||||
parentPort?.on('message', async ({ pluginName, data }: { pluginName: string; data: any }) => {
|
||||
try {
|
||||
const cb = await loadModule(pluginName);
|
||||
parentPort?.postMessage({
|
||||
type: 'success',
|
||||
data: await cb(data)
|
||||
});
|
||||
} catch (error) {
|
||||
parentPort?.postMessage({
|
||||
type: 'error',
|
||||
data: error
|
||||
});
|
||||
}
|
||||
|
||||
process.exit();
|
||||
});
|
||||
158
packages/plugins/src/Doc2X/URLImg2text/index.ts
Normal file
158
packages/plugins/src/Doc2X/URLImg2text/index.ts
Normal file
@@ -0,0 +1,158 @@
|
||||
import { delay } from '@fastgpt/global/common/system/utils';
|
||||
import { addLog } from '@fastgpt/service/common/system/log';
|
||||
|
||||
type Props = {
|
||||
apikey: string;
|
||||
url: string;
|
||||
img_correction: boolean;
|
||||
formula: boolean;
|
||||
};
|
||||
|
||||
// Response type same as HTTP outputs
|
||||
type Response = Promise<{
|
||||
result: string;
|
||||
success: boolean;
|
||||
}>;
|
||||
|
||||
const main = async ({ apikey, url, img_correction, formula }: Props): Response => {
|
||||
// Check the apikey
|
||||
if (!apikey) {
|
||||
return {
|
||||
result: `API key is required`,
|
||||
success: false
|
||||
};
|
||||
}
|
||||
|
||||
let real_api_key = apikey;
|
||||
if (!apikey.startsWith('sk-')) {
|
||||
const response = await fetch('https://api.doc2x.noedgeai.com/api/token/refresh', {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Authorization: `Bearer ${apikey}`
|
||||
}
|
||||
});
|
||||
if (response.status !== 200) {
|
||||
return {
|
||||
result: `Get token failed: ${await response.text()}`,
|
||||
success: false
|
||||
};
|
||||
}
|
||||
const data = await response.json();
|
||||
real_api_key = data.data.token;
|
||||
}
|
||||
|
||||
//Get the image binary from the URL
|
||||
const extension = url.split('.').pop()?.toLowerCase();
|
||||
const name = url.split('/').pop()?.split('.').shift();
|
||||
let mini = '';
|
||||
switch (extension) {
|
||||
case 'jpg':
|
||||
case 'jpeg':
|
||||
mini = 'image/jpeg';
|
||||
break;
|
||||
case 'png':
|
||||
mini = 'image/png';
|
||||
break;
|
||||
default:
|
||||
return {
|
||||
result: `Not supported image format, only support jpg/jpeg/png`,
|
||||
success: false
|
||||
};
|
||||
}
|
||||
|
||||
const response = await fetch(url);
|
||||
if (!response.ok) {
|
||||
return {
|
||||
result: `Failed to fetch image from URL: ${url}`,
|
||||
success: false
|
||||
};
|
||||
}
|
||||
|
||||
const blob = await response.blob();
|
||||
const formData = new FormData();
|
||||
formData.append('file', new Blob([blob], { type: mini }), name + '.' + extension);
|
||||
formData.append('img_correction', img_correction ? '1' : '0');
|
||||
formData.append('equation', formula ? '1' : '0');
|
||||
|
||||
let upload_url = 'https://api.doc2x.noedgeai.com/api/platform/async/img';
|
||||
if (real_api_key.startsWith('sk-')) {
|
||||
upload_url = 'https://api.doc2x.noedgeai.com/api/v1/async/img';
|
||||
}
|
||||
|
||||
let uuid;
|
||||
const uploadAttempts = [1, 2, 3];
|
||||
for await (const attempt of uploadAttempts) {
|
||||
const upload_response = await fetch(upload_url, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Authorization: `Bearer ${real_api_key}`
|
||||
},
|
||||
body: formData
|
||||
});
|
||||
|
||||
if (!upload_response.ok) {
|
||||
// Rate limit, wait for 10s and retry at most 3 times
|
||||
if (upload_response.status === 429 && attempt < 3) {
|
||||
await delay(10000);
|
||||
continue;
|
||||
}
|
||||
return {
|
||||
result: `Failed to upload image: ${await upload_response.text()}`,
|
||||
success: false
|
||||
};
|
||||
}
|
||||
|
||||
const upload_data = await upload_response.json();
|
||||
uuid = upload_data.data.uuid;
|
||||
break;
|
||||
}
|
||||
|
||||
// Get the result by uuid
|
||||
let result_url = 'https://api.doc2x.noedgeai.com/api/platform/async/status?uuid=' + uuid;
|
||||
if (real_api_key.startsWith('sk-')) {
|
||||
result_url = 'https://api.doc2x.noedgeai.com/api/v1/async/status?uuid=' + uuid;
|
||||
}
|
||||
const maxAttempts = 100;
|
||||
// Wait for the result, at most 100s
|
||||
for await (const _ of Array(maxAttempts).keys()) {
|
||||
const result_response = await fetch(result_url, {
|
||||
headers: {
|
||||
Authorization: `Bearer ${real_api_key}`
|
||||
}
|
||||
});
|
||||
if (!result_response.ok) {
|
||||
return {
|
||||
result: `Failed to get result: ${await result_response.text()}`,
|
||||
success: false
|
||||
};
|
||||
}
|
||||
const result_data = await result_response.json();
|
||||
if (['ready', 'processing'].includes(result_data.data.status)) {
|
||||
await delay(1000);
|
||||
} else if (result_data.data.status === 'pages limit exceeded') {
|
||||
return {
|
||||
result: 'Doc2X Pages limit exceeded',
|
||||
success: false
|
||||
};
|
||||
} else if (result_data.data.status === 'success') {
|
||||
let result = result_data.data.result.pages[0].md;
|
||||
result = result.replace(/\\[\(\)]/g, '$').replace(/\\[\[\]]/g, '$$');
|
||||
return {
|
||||
result: result,
|
||||
success: true
|
||||
};
|
||||
} else {
|
||||
return {
|
||||
result: `Failed to get result: ${await result_data.text()}`,
|
||||
success: false
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
result: 'Timeout waiting for result',
|
||||
success: false
|
||||
};
|
||||
};
|
||||
|
||||
export default main;
|
||||
421
packages/plugins/src/Doc2X/URLImg2text/template.json
Normal file
421
packages/plugins/src/Doc2X/URLImg2text/template.json
Normal file
@@ -0,0 +1,421 @@
|
||||
{
|
||||
"author": "Menghuan1918",
|
||||
"version": "488",
|
||||
"name": "Doc2X 图像(URL)识别",
|
||||
"avatar": "plugins/doc2x",
|
||||
"intro": "将传入的图片(URL)发送至Doc2X进行解析,返回带LaTeX公式的markdown格式的文本",
|
||||
"inputExplanationUrl": "https://fael3z0zfze.feishu.cn/wiki/Rkc5witXWiJoi5kORd2cofh6nDg?fromScene=spaceOverview",
|
||||
"showStatus": true,
|
||||
"weight": 10,
|
||||
|
||||
"isTool": true,
|
||||
"templateType": "tools",
|
||||
|
||||
"workflow": {
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "pluginInput",
|
||||
"name": "自定义插件输入",
|
||||
"intro": "可以配置插件需要哪些输入,利用这些输入来运行插件",
|
||||
"avatar": "core/workflow/template/workflowStart",
|
||||
"flowNodeType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 388.243055058894,
|
||||
"y": -75.09744210499466
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"renderTypeList": ["input"],
|
||||
"selectedTypeIndex": 0,
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "apikey",
|
||||
"label": "apikey",
|
||||
"description": "Doc2X的验证密匙,对于个人用户可以从Doc2X官网 - 个人信息 - 身份令牌获得",
|
||||
"required": true,
|
||||
"toolDescription": "",
|
||||
"defaultValue": ""
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"selectedTypeIndex": 0,
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "url",
|
||||
"label": "url",
|
||||
"description": "待处理图片的URL",
|
||||
"required": true,
|
||||
"toolDescription": "待处理图片的URL"
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["switch"],
|
||||
"selectedTypeIndex": 0,
|
||||
"valueType": "boolean",
|
||||
"canEdit": true,
|
||||
"key": "img_correction",
|
||||
"label": "img_correction",
|
||||
"description": "是否启用图形矫正功能",
|
||||
"required": true,
|
||||
"toolDescription": "",
|
||||
"defaultValue": false
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["switch"],
|
||||
"selectedTypeIndex": 0,
|
||||
"valueType": "boolean",
|
||||
"canEdit": true,
|
||||
"key": "formula",
|
||||
"label": "formula",
|
||||
"description": "是否开启纯公式识别(仅适用于图片内容仅有公式时)",
|
||||
"required": true,
|
||||
"toolDescription": "",
|
||||
"defaultValue": false
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "apikey",
|
||||
"valueType": "string",
|
||||
"key": "apikey",
|
||||
"label": "apikey",
|
||||
"type": "hidden"
|
||||
},
|
||||
{
|
||||
"id": "url",
|
||||
"valueType": "string",
|
||||
"key": "url",
|
||||
"label": "url",
|
||||
"type": "hidden"
|
||||
},
|
||||
{
|
||||
"id": "img_correction",
|
||||
"valueType": "boolean",
|
||||
"key": "img_correction",
|
||||
"label": "img_correction",
|
||||
"type": "hidden"
|
||||
},
|
||||
{
|
||||
"id": "formula",
|
||||
"valueType": "boolean",
|
||||
"key": "formula",
|
||||
"label": "formula",
|
||||
"type": "hidden"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"name": "自定义插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "core/workflow/template/pluginOutput",
|
||||
"flowNodeType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 1654.8021754314786,
|
||||
"y": -22.243376051504086
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "result",
|
||||
"label": "result",
|
||||
"description": "处理结果(或者是报错信息)",
|
||||
"value": ["zHG5jJBkXmjB", "xWQuEf50F3mr"]
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "boolean",
|
||||
"canEdit": true,
|
||||
"key": "success",
|
||||
"label": "success",
|
||||
"description": "是否处理成功",
|
||||
"value": ["zHG5jJBkXmjB", "m6CJJj7GFud5"]
|
||||
}
|
||||
],
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"nodeId": "zHG5jJBkXmjB",
|
||||
"name": "HTTP 请求",
|
||||
"intro": "可以发出一个 HTTP 请求,实现更为复杂的操作(联网搜索、数据库查询等)",
|
||||
"avatar": "core/workflow/template/httpRequest",
|
||||
"flowNodeType": "httpRequest468",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
"x": 1081.967607938733,
|
||||
"y": -426.08028677656125
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"key": "system_addInputParam",
|
||||
"renderTypeList": ["addInputParam"],
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.HTTP Dynamic Input",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"value": "POST",
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"value": "Doc2X/URLImg2text"
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpParams",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpJsonBody",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": "{\n \"apikey\": \"{{apikey}}\",\n \"url\": \"{{url}}\",\n \"img_correction\": \"{{img_correction}}\",\n \"formula\": \"{{img_correction}}\"\n}",
|
||||
"label": "",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "apikey",
|
||||
"label": "apikey",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
},
|
||||
"required": true,
|
||||
"value": ["pluginInput", "apikey"]
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "url",
|
||||
"label": "url",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
},
|
||||
"required": true,
|
||||
"value": ["pluginInput", "url"]
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "boolean",
|
||||
"canEdit": true,
|
||||
"key": "img_correction",
|
||||
"label": "img_correction",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
},
|
||||
"required": true,
|
||||
"value": ["pluginInput", "img_correction"]
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "boolean",
|
||||
"canEdit": true,
|
||||
"key": "formula",
|
||||
"label": "formula",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
},
|
||||
"required": true,
|
||||
"value": ["pluginInput", "formula"]
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "请求错误",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"label": "原始响应",
|
||||
"required": true,
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "system_addOutputParam",
|
||||
"key": "system_addOutputParam",
|
||||
"type": "dynamic",
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"customFieldConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "xWQuEf50F3mr",
|
||||
"valueType": "string",
|
||||
"type": "dynamic",
|
||||
"key": "result",
|
||||
"label": "result"
|
||||
},
|
||||
{
|
||||
"id": "m6CJJj7GFud5",
|
||||
"valueType": "boolean",
|
||||
"type": "dynamic",
|
||||
"key": "success",
|
||||
"label": "success"
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "pluginInput",
|
||||
"target": "zHG5jJBkXmjB",
|
||||
"sourceHandle": "pluginInput-source-right",
|
||||
"targetHandle": "zHG5jJBkXmjB-target-left"
|
||||
},
|
||||
{
|
||||
"source": "zHG5jJBkXmjB",
|
||||
"target": "pluginOutput",
|
||||
"sourceHandle": "zHG5jJBkXmjB-source-right",
|
||||
"targetHandle": "pluginOutput-target-left"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
130
packages/plugins/src/Doc2X/URLPDF2text/index.ts
Normal file
130
packages/plugins/src/Doc2X/URLPDF2text/index.ts
Normal file
@@ -0,0 +1,130 @@
|
||||
import { delay } from '@fastgpt/global/common/system/utils';
|
||||
import { addLog } from '@fastgpt/service/common/system/log';
|
||||
|
||||
type Props = {
|
||||
apikey: string;
|
||||
url: string;
|
||||
ocr: boolean;
|
||||
};
|
||||
|
||||
// Response type same as HTTP outputs
|
||||
type Response = Promise<{
|
||||
result: string;
|
||||
success: boolean;
|
||||
}>;
|
||||
|
||||
const main = async ({ apikey, url, ocr }: Props): Response => {
|
||||
// Check the apikey
|
||||
if (!apikey) {
|
||||
return {
|
||||
result: `API key is required`,
|
||||
success: false
|
||||
};
|
||||
}
|
||||
|
||||
let real_api_key = apikey;
|
||||
if (!apikey.startsWith('sk-')) {
|
||||
const response = await fetch('https://api.doc2x.noedgeai.com/api/token/refresh', {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Authorization: `Bearer ${apikey}`
|
||||
}
|
||||
});
|
||||
if (response.status !== 200) {
|
||||
return {
|
||||
result: `Get token failed: ${await response.text()}`,
|
||||
success: false
|
||||
};
|
||||
}
|
||||
const data = await response.json();
|
||||
real_api_key = data.data.token;
|
||||
}
|
||||
|
||||
//Get the image binary from the URL
|
||||
const formData = new FormData();
|
||||
formData.append('pdf_url', url);
|
||||
formData.append('ocr', ocr ? '1' : '0');
|
||||
|
||||
let upload_url = 'https://api.doc2x.noedgeai.com/api/platform/async/pdf';
|
||||
if (real_api_key.startsWith('sk-')) {
|
||||
upload_url = 'https://api.doc2x.noedgeai.com/api/v1/async/pdf';
|
||||
}
|
||||
|
||||
let uuid;
|
||||
const uploadAttempts = [1, 2, 3];
|
||||
for await (const attempt of uploadAttempts) {
|
||||
const upload_response = await fetch(upload_url, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
Authorization: `Bearer ${real_api_key}`
|
||||
},
|
||||
body: formData
|
||||
});
|
||||
if (!upload_response.ok) {
|
||||
if (upload_response.status === 429 && attempt < 3) {
|
||||
await delay(10000);
|
||||
continue;
|
||||
}
|
||||
return {
|
||||
result: `Failed to upload file: ${await upload_response.text()}`,
|
||||
success: false
|
||||
};
|
||||
}
|
||||
const upload_data = await upload_response.json();
|
||||
uuid = upload_data.data.uuid;
|
||||
break;
|
||||
}
|
||||
|
||||
// Get the result by uuid
|
||||
let result_url = 'https://api.doc2x.noedgeai.com/api/platform/async/status?uuid=' + uuid;
|
||||
if (real_api_key.startsWith('sk-')) {
|
||||
result_url = 'https://api.doc2x.noedgeai.com/api/v1/async/status?uuid=' + uuid;
|
||||
}
|
||||
|
||||
let result = '';
|
||||
// Wait for the result, at most 100s
|
||||
const maxAttempts = 100;
|
||||
for await (const _ of Array(maxAttempts).keys()) {
|
||||
const result_response = await fetch(result_url, {
|
||||
headers: {
|
||||
Authorization: `Bearer ${real_api_key}`
|
||||
}
|
||||
});
|
||||
if (!result_response.ok) {
|
||||
return {
|
||||
result: `Failed to get result: ${await result_response.text()}`,
|
||||
success: false
|
||||
};
|
||||
}
|
||||
const result_data = await result_response.json();
|
||||
if (['ready', 'processing'].includes(result_data.data.status)) {
|
||||
await delay(1000);
|
||||
} else if (result_data.data.status === 'pages limit exceeded') {
|
||||
return {
|
||||
result: 'Doc2X Pages limit exceeded',
|
||||
success: false
|
||||
};
|
||||
} else if (result_data.data.status === 'success') {
|
||||
result = await Promise.all(
|
||||
result_data.data.result.pages.map((page: { md: any }) => page.md)
|
||||
).then((pages) => pages.join('\n'));
|
||||
result = result.replace(/\\[\(\)]/g, '$').replace(/\\[\[\]]/g, '$$');
|
||||
return {
|
||||
result: result,
|
||||
success: true
|
||||
};
|
||||
} else {
|
||||
return {
|
||||
result: `Failed to get result: ${await result_data.text()}`,
|
||||
success: false
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
result: 'Timeout waiting for result',
|
||||
success: false
|
||||
};
|
||||
};
|
||||
|
||||
export default main;
|
||||
373
packages/plugins/src/Doc2X/URLPDF2text/template.json
Normal file
373
packages/plugins/src/Doc2X/URLPDF2text/template.json
Normal file
@@ -0,0 +1,373 @@
|
||||
{
|
||||
"author": "Menghuan1918",
|
||||
"version": "488",
|
||||
"name": "Doc2X PDF文件(URL)识别",
|
||||
"avatar": "plugins/doc2x",
|
||||
"intro": "将传入的PDF文件(URL)发送至Doc2X进行解析,返回带LaTeX公式的markdown格式的文本",
|
||||
"inputExplanationUrl": "https://fael3z0zfze.feishu.cn/wiki/Rkc5witXWiJoi5kORd2cofh6nDg?fromScene=spaceOverview",
|
||||
"showStatus": true,
|
||||
"weight": 10,
|
||||
|
||||
"isTool": true,
|
||||
"templateType": "tools",
|
||||
|
||||
"workflow": {
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "pluginInput",
|
||||
"name": "自定义插件输入",
|
||||
"intro": "可以配置插件需要哪些输入,利用这些输入来运行插件",
|
||||
"avatar": "core/workflow/template/workflowStart",
|
||||
"flowNodeType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 388.243055058894,
|
||||
"y": -75.09744210499466
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"renderTypeList": ["input"],
|
||||
"selectedTypeIndex": 0,
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "apikey",
|
||||
"label": "apikey",
|
||||
"description": "Doc2X的验证密匙,对于个人用户可以从Doc2X官网 - 个人信息 - 身份令牌获得",
|
||||
"required": true,
|
||||
"toolDescription": "",
|
||||
"defaultValue": ""
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"selectedTypeIndex": 0,
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "url",
|
||||
"label": "url",
|
||||
"description": "待处理PDF文件的URL",
|
||||
"required": true,
|
||||
"toolDescription": "待处理PDF文件的URL"
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["switch"],
|
||||
"selectedTypeIndex": 0,
|
||||
"valueType": "boolean",
|
||||
"canEdit": true,
|
||||
"key": "ocr",
|
||||
"label": "ocr",
|
||||
"description": "是否开启对PDF文件内图片的OCR识别,建议开启",
|
||||
"required": true,
|
||||
"toolDescription": "",
|
||||
"defaultValue": true
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "apikey",
|
||||
"valueType": "string",
|
||||
"key": "apikey",
|
||||
"label": "apikey",
|
||||
"type": "hidden"
|
||||
},
|
||||
{
|
||||
"id": "url",
|
||||
"valueType": "string",
|
||||
"key": "url",
|
||||
"label": "url",
|
||||
"type": "hidden"
|
||||
},
|
||||
{
|
||||
"id": "formula",
|
||||
"valueType": "boolean",
|
||||
"key": "ocr",
|
||||
"label": "ocr",
|
||||
"type": "hidden"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"name": "自定义插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "core/workflow/template/pluginOutput",
|
||||
"flowNodeType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 1654.8021754314786,
|
||||
"y": -22.243376051504086
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "result",
|
||||
"label": "result",
|
||||
"description": "处理结果(或者是报错信息)",
|
||||
"value": ["zHG5jJBkXmjB", "xWQuEf50F3mr"]
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "boolean",
|
||||
"canEdit": true,
|
||||
"key": "success",
|
||||
"label": "success",
|
||||
"description": "是否处理成功",
|
||||
"value": ["zHG5jJBkXmjB", "m6CJJj7GFud5"]
|
||||
}
|
||||
],
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"nodeId": "zHG5jJBkXmjB",
|
||||
"name": "HTTP 请求",
|
||||
"intro": "可以发出一个 HTTP 请求,实现更为复杂的操作(联网搜索、数据库查询等)",
|
||||
"avatar": "core/workflow/template/httpRequest",
|
||||
"flowNodeType": "httpRequest468",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
"x": 1081.967607938733,
|
||||
"y": -426.08028677656125
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"key": "system_addInputParam",
|
||||
"renderTypeList": ["addInputParam"],
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.HTTP Dynamic Input",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"value": "POST",
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"value": "Doc2X/URLPDF2text"
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpParams",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpJsonBody",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": "{\n \"apikey\": \"{{apikey}}\",\n \"url\": \"{{url}}\",\n \"ocr\": \"{{ocr}}\"\n}",
|
||||
"label": "",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "apikey",
|
||||
"label": "apikey",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
},
|
||||
"required": true,
|
||||
"value": ["pluginInput", "apikey"]
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "url",
|
||||
"label": "url",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
},
|
||||
"required": true,
|
||||
"value": ["pluginInput", "url"]
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "boolean",
|
||||
"canEdit": true,
|
||||
"key": "ocr",
|
||||
"label": "ocr",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
},
|
||||
"required": true,
|
||||
"value": ["pluginInput", "formula"]
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "请求错误",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"label": "原始响应",
|
||||
"required": true,
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "system_addOutputParam",
|
||||
"key": "system_addOutputParam",
|
||||
"type": "dynamic",
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"customFieldConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "xWQuEf50F3mr",
|
||||
"valueType": "string",
|
||||
"type": "dynamic",
|
||||
"key": "result",
|
||||
"label": "result"
|
||||
},
|
||||
{
|
||||
"id": "m6CJJj7GFud5",
|
||||
"valueType": "boolean",
|
||||
"type": "dynamic",
|
||||
"key": "success",
|
||||
"label": "success"
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "pluginInput",
|
||||
"target": "zHG5jJBkXmjB",
|
||||
"sourceHandle": "pluginInput-source-right",
|
||||
"targetHandle": "zHG5jJBkXmjB-target-left"
|
||||
},
|
||||
{
|
||||
"source": "zHG5jJBkXmjB",
|
||||
"target": "pluginOutput",
|
||||
"sourceHandle": "zHG5jJBkXmjB-source-right",
|
||||
"targetHandle": "pluginOutput-target-left"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
17
packages/plugins/src/Doc2X/template.json
Normal file
17
packages/plugins/src/Doc2X/template.json
Normal file
@@ -0,0 +1,17 @@
|
||||
{
|
||||
"author": "Menghuan1918",
|
||||
"version": "488",
|
||||
"name": "Doc2X服务",
|
||||
"avatar": "plugins/doc2x",
|
||||
"intro": "传入的URL形式的图片或PDF文件发送至Doc2X进行解析,返回带LaTeX公式的markdown格式的文本。",
|
||||
"showStatus": true,
|
||||
"weight": 10,
|
||||
|
||||
"isTool": true,
|
||||
"templateType": "tools",
|
||||
|
||||
"workflow": {
|
||||
"nodes": [],
|
||||
"edges": []
|
||||
}
|
||||
}
|
||||
46
packages/plugins/src/duckduckgo/search/index.ts
Normal file
46
packages/plugins/src/duckduckgo/search/index.ts
Normal file
@@ -0,0 +1,46 @@
|
||||
import { search, SafeSearchType } from 'duck-duck-scrape';
|
||||
import { delay } from '@fastgpt/global/common/system/utils';
|
||||
import { addLog } from '@fastgpt/service/common/system/log';
|
||||
|
||||
type Props = {
|
||||
query: string;
|
||||
};
|
||||
|
||||
// Response type same as HTTP outputs
|
||||
type Response = Promise<{
|
||||
result: string;
|
||||
}>;
|
||||
|
||||
const main = async (props: Props, retry = 3): Response => {
|
||||
const { query } = props;
|
||||
try {
|
||||
const searchResults = await search(query, {
|
||||
safeSearch: SafeSearchType.STRICT,
|
||||
time: 'y'
|
||||
});
|
||||
|
||||
const result = searchResults.results
|
||||
.map((item) => ({
|
||||
title: item.title,
|
||||
link: item.url,
|
||||
snippet: item.description
|
||||
}))
|
||||
.slice(0, 10);
|
||||
|
||||
return {
|
||||
result: JSON.stringify(result)
|
||||
};
|
||||
} catch (error) {
|
||||
if (retry <= 0) {
|
||||
addLog.warn('DuckDuckGo error', { error });
|
||||
return {
|
||||
result: 'Failed to fetch data'
|
||||
};
|
||||
}
|
||||
|
||||
await delay(Math.random() * 5000);
|
||||
return main(props, retry - 1);
|
||||
}
|
||||
};
|
||||
|
||||
export default main;
|
||||
260
packages/plugins/src/duckduckgo/search/template.json
Normal file
260
packages/plugins/src/duckduckgo/search/template.json
Normal file
@@ -0,0 +1,260 @@
|
||||
{
|
||||
"author": "",
|
||||
"version": "486",
|
||||
"name": "DuckDuckGo 网络搜索",
|
||||
"avatar": "core/workflow/template/duckduckgo",
|
||||
"intro": "使用 DuckDuckGo 进行网络搜索",
|
||||
"showStatus": true,
|
||||
"weight": 10,
|
||||
|
||||
"isTool": true,
|
||||
"templateType": "search",
|
||||
|
||||
"workflow": {
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "pluginInput",
|
||||
"name": "自定义插件输入",
|
||||
"intro": "可以配置插件需要哪些输入,利用这些输入来运行插件",
|
||||
"avatar": "/imgs/workflow/input.png",
|
||||
"flowNodeType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 393.68844551739926,
|
||||
"y": -58.80666875994541
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"selectedTypeIndex": 0,
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "query",
|
||||
"label": "query",
|
||||
"description": "检索词",
|
||||
"required": true,
|
||||
"toolDescription": "检索词"
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "query",
|
||||
"valueType": "string",
|
||||
"key": "query",
|
||||
"label": "query",
|
||||
"type": "hidden"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"name": "自定义插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "/imgs/workflow/output.png",
|
||||
"flowNodeType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 1795.6509902691012,
|
||||
"y": -47.04550785550961
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "result",
|
||||
"label": "result",
|
||||
"description": " 检索结果",
|
||||
"value": ["hjnVuJAOwyXV", "lEyy5QqyIBrK"]
|
||||
}
|
||||
],
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"nodeId": "hjnVuJAOwyXV",
|
||||
"name": "HTTP 请求",
|
||||
"intro": "可以发出一个 HTTP 请求,实现更为复杂的操作(联网搜索、数据库查询等)",
|
||||
"avatar": "/imgs/workflow/http.png",
|
||||
"flowNodeType": "httpRequest468",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
"x": 1054.6774638324207,
|
||||
"y": -403.06127656499825
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"key": "system_addInputParam",
|
||||
"renderTypeList": ["addInputParam"],
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.HTTP Dynamic Input",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"value": "POST",
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"value": "duckduckgo/search"
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpParams",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpJsonBody",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": "{\n \"query\": \"{{query}}\"\n}",
|
||||
"label": "",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "query",
|
||||
"label": "query",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
},
|
||||
"required": true,
|
||||
"value": ["pluginInput", "query"]
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "system_addOutputParam",
|
||||
"key": "system_addOutputParam",
|
||||
"type": "dynamic",
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"customFieldConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "请求错误",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"label": "原始响应",
|
||||
"required": true,
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "lEyy5QqyIBrK",
|
||||
"valueType": "string",
|
||||
"type": "dynamic",
|
||||
"key": "result",
|
||||
"label": "result"
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "pluginInput",
|
||||
"target": "hjnVuJAOwyXV",
|
||||
"sourceHandle": "pluginInput-source-right",
|
||||
"targetHandle": "hjnVuJAOwyXV-target-left"
|
||||
},
|
||||
{
|
||||
"source": "hjnVuJAOwyXV",
|
||||
"target": "pluginOutput",
|
||||
"sourceHandle": "hjnVuJAOwyXV-source-right",
|
||||
"targetHandle": "pluginOutput-target-left"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
45
packages/plugins/src/duckduckgo/searchImg/index.ts
Normal file
45
packages/plugins/src/duckduckgo/searchImg/index.ts
Normal file
@@ -0,0 +1,45 @@
|
||||
import { searchImages, SafeSearchType } from 'duck-duck-scrape';
|
||||
import { delay } from '@fastgpt/global/common/system/utils';
|
||||
import { addLog } from '@fastgpt/service/common/system/log';
|
||||
|
||||
type Props = {
|
||||
query: string;
|
||||
};
|
||||
|
||||
// Response type same as HTTP outputs
|
||||
type Response = Promise<{
|
||||
result: string;
|
||||
}>;
|
||||
|
||||
const main = async (props: Props, retry = 3): Response => {
|
||||
const { query } = props;
|
||||
|
||||
try {
|
||||
const searchResults = await searchImages(query, {
|
||||
safeSearch: SafeSearchType.STRICT
|
||||
});
|
||||
|
||||
const result = searchResults.results
|
||||
.map((item) => ({
|
||||
title: item.title,
|
||||
image: item.image
|
||||
}))
|
||||
.slice(0, 10);
|
||||
|
||||
return {
|
||||
result: JSON.stringify(result)
|
||||
};
|
||||
} catch (error) {
|
||||
if (retry <= 0) {
|
||||
addLog.warn('DuckDuckGo error', { error });
|
||||
return {
|
||||
result: 'Failed to fetch data'
|
||||
};
|
||||
}
|
||||
|
||||
await delay(Math.random() * 5000);
|
||||
return main(props, retry - 1);
|
||||
}
|
||||
};
|
||||
|
||||
export default main;
|
||||
260
packages/plugins/src/duckduckgo/searchImg/template.json
Normal file
260
packages/plugins/src/duckduckgo/searchImg/template.json
Normal file
@@ -0,0 +1,260 @@
|
||||
{
|
||||
"author": "",
|
||||
"version": "486",
|
||||
"name": "DuckDuckGo 图片搜索",
|
||||
"avatar": "core/workflow/template/duckduckgo",
|
||||
"intro": "使用 DuckDuckGo 进行图片搜索",
|
||||
"showStatus": true,
|
||||
"weight": 10,
|
||||
|
||||
"isTool": true,
|
||||
"templateType": "search",
|
||||
|
||||
"workflow": {
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "pluginInput",
|
||||
"name": "自定义插件输入",
|
||||
"intro": "可以配置插件需要哪些输入,利用这些输入来运行插件",
|
||||
"avatar": "/imgs/workflow/input.png",
|
||||
"flowNodeType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 393.68844551739926,
|
||||
"y": -58.80666875994541
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"selectedTypeIndex": 0,
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "query",
|
||||
"label": "query",
|
||||
"description": "检索词",
|
||||
"required": true,
|
||||
"toolDescription": "检索词"
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "query",
|
||||
"valueType": "string",
|
||||
"key": "query",
|
||||
"label": "query",
|
||||
"type": "hidden"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"name": "自定义插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "/imgs/workflow/output.png",
|
||||
"flowNodeType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 1795.6509902691012,
|
||||
"y": -47.04550785550961
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "result",
|
||||
"label": "result",
|
||||
"description": " 检索结果",
|
||||
"value": ["hjnVuJAOwyXV", "lEyy5QqyIBrK"]
|
||||
}
|
||||
],
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"nodeId": "hjnVuJAOwyXV",
|
||||
"name": "HTTP 请求",
|
||||
"intro": "可以发出一个 HTTP 请求,实现更为复杂的操作(联网搜索、数据库查询等)",
|
||||
"avatar": "/imgs/workflow/http.png",
|
||||
"flowNodeType": "httpRequest468",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
"x": 1054.6774638324207,
|
||||
"y": -403.06127656499825
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"key": "system_addInputParam",
|
||||
"renderTypeList": ["addInputParam"],
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.HTTP Dynamic Input",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"value": "POST",
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"value": "duckduckgo/searchImg"
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpParams",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpJsonBody",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": "{\n \"query\": \"{{query}}\"\n}",
|
||||
"label": "",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "query",
|
||||
"label": "query",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
},
|
||||
"required": true,
|
||||
"value": ["pluginInput", "query"]
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "system_addOutputParam",
|
||||
"key": "system_addOutputParam",
|
||||
"type": "dynamic",
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"customFieldConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "请求错误",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"label": "原始响应",
|
||||
"required": true,
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "lEyy5QqyIBrK",
|
||||
"valueType": "string",
|
||||
"type": "dynamic",
|
||||
"key": "result",
|
||||
"label": "result"
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "pluginInput",
|
||||
"target": "hjnVuJAOwyXV",
|
||||
"sourceHandle": "pluginInput-source-right",
|
||||
"targetHandle": "hjnVuJAOwyXV-target-left"
|
||||
},
|
||||
{
|
||||
"source": "hjnVuJAOwyXV",
|
||||
"target": "pluginOutput",
|
||||
"sourceHandle": "hjnVuJAOwyXV-source-right",
|
||||
"targetHandle": "pluginOutput-target-left"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
46
packages/plugins/src/duckduckgo/searchNews/index.ts
Normal file
46
packages/plugins/src/duckduckgo/searchNews/index.ts
Normal file
@@ -0,0 +1,46 @@
|
||||
import { searchNews, SafeSearchType } from 'duck-duck-scrape';
|
||||
import { delay } from '@fastgpt/global/common/system/utils';
|
||||
import { addLog } from '@fastgpt/service/common/system/log';
|
||||
|
||||
type Props = {
|
||||
query: string;
|
||||
};
|
||||
|
||||
// Response type same as HTTP outputs
|
||||
type Response = Promise<{
|
||||
result: string;
|
||||
}>;
|
||||
|
||||
const main = async (props: Props, retry = 3): Response => {
|
||||
const { query } = props;
|
||||
|
||||
try {
|
||||
const searchResults = await searchNews(query, {
|
||||
safeSearch: SafeSearchType.STRICT
|
||||
});
|
||||
|
||||
const result = searchResults.results
|
||||
.map((item) => ({
|
||||
title: item.title,
|
||||
excerpt: item.excerpt,
|
||||
url: item.url
|
||||
}))
|
||||
.slice(0, 10);
|
||||
|
||||
return {
|
||||
result: JSON.stringify(result)
|
||||
};
|
||||
} catch (error) {
|
||||
if (retry <= 0) {
|
||||
addLog.warn('DuckDuckGo error', { error });
|
||||
return {
|
||||
result: 'Failed to fetch data'
|
||||
};
|
||||
}
|
||||
|
||||
await delay(Math.random() * 5000);
|
||||
return main(props, retry - 1);
|
||||
}
|
||||
};
|
||||
|
||||
export default main;
|
||||
260
packages/plugins/src/duckduckgo/searchNews/template.json
Normal file
260
packages/plugins/src/duckduckgo/searchNews/template.json
Normal file
@@ -0,0 +1,260 @@
|
||||
{
|
||||
"author": "",
|
||||
"version": "486",
|
||||
"name": "DuckDuckGo 新闻检索",
|
||||
"avatar": "core/workflow/template/duckduckgo",
|
||||
"intro": "使用 DuckDuckGo 进行新闻检索",
|
||||
"showStatus": true,
|
||||
"weight": 10,
|
||||
|
||||
"isTool": true,
|
||||
"templateType": "search",
|
||||
|
||||
"workflow": {
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "pluginInput",
|
||||
"name": "自定义插件输入",
|
||||
"intro": "可以配置插件需要哪些输入,利用这些输入来运行插件",
|
||||
"avatar": "/imgs/workflow/input.png",
|
||||
"flowNodeType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 393.68844551739926,
|
||||
"y": -58.80666875994541
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"selectedTypeIndex": 0,
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "query",
|
||||
"label": "query",
|
||||
"description": "检索词",
|
||||
"required": true,
|
||||
"toolDescription": "检索词"
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "query",
|
||||
"valueType": "string",
|
||||
"key": "query",
|
||||
"label": "query",
|
||||
"type": "hidden"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"name": "自定义插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "/imgs/workflow/output.png",
|
||||
"flowNodeType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 1795.6509902691012,
|
||||
"y": -47.04550785550961
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "result",
|
||||
"label": "result",
|
||||
"description": " 检索结果",
|
||||
"value": ["hjnVuJAOwyXV", "lEyy5QqyIBrK"]
|
||||
}
|
||||
],
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"nodeId": "hjnVuJAOwyXV",
|
||||
"name": "HTTP 请求",
|
||||
"intro": "可以发出一个 HTTP 请求,实现更为复杂的操作(联网搜索、数据库查询等)",
|
||||
"avatar": "/imgs/workflow/http.png",
|
||||
"flowNodeType": "httpRequest468",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
"x": 1054.6774638324207,
|
||||
"y": -403.06127656499825
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"key": "system_addInputParam",
|
||||
"renderTypeList": ["addInputParam"],
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.HTTP Dynamic Input",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"value": "POST",
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"value": "duckduckgo/searchNews"
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpParams",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpJsonBody",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": "{\n \"query\": \"{{query}}\"\n}",
|
||||
"label": "",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "query",
|
||||
"label": "query",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
},
|
||||
"required": true,
|
||||
"value": ["pluginInput", "query"]
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "system_addOutputParam",
|
||||
"key": "system_addOutputParam",
|
||||
"type": "dynamic",
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"customFieldConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "请求错误",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"label": "原始响应",
|
||||
"required": true,
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "lEyy5QqyIBrK",
|
||||
"valueType": "string",
|
||||
"type": "dynamic",
|
||||
"key": "result",
|
||||
"label": "result"
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "pluginInput",
|
||||
"target": "hjnVuJAOwyXV",
|
||||
"sourceHandle": "pluginInput-source-right",
|
||||
"targetHandle": "hjnVuJAOwyXV-target-left"
|
||||
},
|
||||
{
|
||||
"source": "hjnVuJAOwyXV",
|
||||
"target": "pluginOutput",
|
||||
"sourceHandle": "hjnVuJAOwyXV-source-right",
|
||||
"targetHandle": "pluginOutput-target-left"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
46
packages/plugins/src/duckduckgo/searchVideo/index.ts
Normal file
46
packages/plugins/src/duckduckgo/searchVideo/index.ts
Normal file
@@ -0,0 +1,46 @@
|
||||
import { searchVideos, SafeSearchType } from 'duck-duck-scrape';
|
||||
import { delay } from '@fastgpt/global/common/system/utils';
|
||||
import { addLog } from '@fastgpt/service/common/system/log';
|
||||
|
||||
type Props = {
|
||||
query: string;
|
||||
};
|
||||
|
||||
// Response type same as HTTP outputs
|
||||
type Response = Promise<{
|
||||
result: string;
|
||||
}>;
|
||||
|
||||
const main = async (props: Props, retry = 3): Response => {
|
||||
const { query } = props;
|
||||
|
||||
try {
|
||||
const searchResults = await searchVideos(query, {
|
||||
safeSearch: SafeSearchType.STRICT
|
||||
});
|
||||
|
||||
const result = searchResults.results
|
||||
.map((item) => ({
|
||||
title: item.title,
|
||||
description: item.description,
|
||||
url: item.url
|
||||
}))
|
||||
.slice(0, 10);
|
||||
|
||||
return {
|
||||
result: JSON.stringify(result)
|
||||
};
|
||||
} catch (error) {
|
||||
if (retry <= 0) {
|
||||
addLog.warn('DuckDuckGo error', { error });
|
||||
return {
|
||||
result: 'Failed to fetch data'
|
||||
};
|
||||
}
|
||||
|
||||
await delay(Math.random() * 5000);
|
||||
return main(props, retry - 1);
|
||||
}
|
||||
};
|
||||
|
||||
export default main;
|
||||
260
packages/plugins/src/duckduckgo/searchVideo/template.json
Normal file
260
packages/plugins/src/duckduckgo/searchVideo/template.json
Normal file
@@ -0,0 +1,260 @@
|
||||
{
|
||||
"author": "",
|
||||
"version": "486",
|
||||
"name": "DuckDuckGo 视频搜索",
|
||||
"avatar": "core/workflow/template/duckduckgo",
|
||||
"intro": "使用 DuckDuckGo 进行视频搜索",
|
||||
"showStatus": true,
|
||||
"weight": 10,
|
||||
|
||||
"isTool": true,
|
||||
"templateType": "search",
|
||||
|
||||
"workflow": {
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "pluginInput",
|
||||
"name": "自定义插件输入",
|
||||
"intro": "可以配置插件需要哪些输入,利用这些输入来运行插件",
|
||||
"avatar": "/imgs/workflow/input.png",
|
||||
"flowNodeType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 393.68844551739926,
|
||||
"y": -58.80666875994541
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"selectedTypeIndex": 0,
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "query",
|
||||
"label": "query",
|
||||
"description": "检索词",
|
||||
"required": true,
|
||||
"toolDescription": "检索词"
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "query",
|
||||
"valueType": "string",
|
||||
"key": "query",
|
||||
"label": "query",
|
||||
"type": "hidden"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"name": "自定义插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "/imgs/workflow/output.png",
|
||||
"flowNodeType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 1795.6509902691012,
|
||||
"y": -47.04550785550961
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "result",
|
||||
"label": "result",
|
||||
"description": " 检索结果",
|
||||
"value": ["hjnVuJAOwyXV", "lEyy5QqyIBrK"]
|
||||
}
|
||||
],
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"nodeId": "hjnVuJAOwyXV",
|
||||
"name": "HTTP 请求",
|
||||
"intro": "可以发出一个 HTTP 请求,实现更为复杂的操作(联网搜索、数据库查询等)",
|
||||
"avatar": "/imgs/workflow/http.png",
|
||||
"flowNodeType": "httpRequest468",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
"x": 1054.6774638324207,
|
||||
"y": -403.06127656499825
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"key": "system_addInputParam",
|
||||
"renderTypeList": ["addInputParam"],
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.HTTP Dynamic Input",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"value": "POST",
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"value": "duckduckgo/searchVideo"
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpParams",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpJsonBody",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": "{\n \"query\": \"{{query}}\"\n}",
|
||||
"label": "",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "query",
|
||||
"label": "query",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
},
|
||||
"required": true,
|
||||
"value": ["pluginInput", "query"]
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "system_addOutputParam",
|
||||
"key": "system_addOutputParam",
|
||||
"type": "dynamic",
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"customFieldConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "请求错误",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"label": "原始响应",
|
||||
"required": true,
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "lEyy5QqyIBrK",
|
||||
"valueType": "string",
|
||||
"type": "dynamic",
|
||||
"key": "result",
|
||||
"label": "result"
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "pluginInput",
|
||||
"target": "hjnVuJAOwyXV",
|
||||
"sourceHandle": "pluginInput-source-right",
|
||||
"targetHandle": "hjnVuJAOwyXV-target-left"
|
||||
},
|
||||
{
|
||||
"source": "hjnVuJAOwyXV",
|
||||
"target": "pluginOutput",
|
||||
"sourceHandle": "hjnVuJAOwyXV-source-right",
|
||||
"targetHandle": "pluginOutput-target-left"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
17
packages/plugins/src/duckduckgo/template.json
Normal file
17
packages/plugins/src/duckduckgo/template.json
Normal file
@@ -0,0 +1,17 @@
|
||||
{
|
||||
"author": "",
|
||||
"version": "486",
|
||||
"name": "DuckDuckGo服务",
|
||||
"avatar": "core/workflow/template/duckduckgo",
|
||||
"intro": "DuckDuckGo 服务,包含网络搜索、图片搜索、新闻搜索等。",
|
||||
"showStatus": false,
|
||||
"weight": 100,
|
||||
|
||||
"isTool": true,
|
||||
"templateType": "tools",
|
||||
|
||||
"workflow": {
|
||||
"nodes": [],
|
||||
"edges": []
|
||||
}
|
||||
}
|
||||
443
packages/plugins/src/feishu/template.json
Normal file
443
packages/plugins/src/feishu/template.json
Normal file
@@ -0,0 +1,443 @@
|
||||
{
|
||||
"author": "",
|
||||
"version": "488",
|
||||
"name": "飞书机器人 webhook",
|
||||
"avatar": "/imgs/app/templates/feishu.svg",
|
||||
"intro": "向飞书机器人发起 webhook 请求。",
|
||||
"inputExplanationUrl": "https://open.feishu.cn/document/client-docs/bot-v3/add-custom-bot#f62e72d5",
|
||||
"showStatus": false,
|
||||
"weight": 10,
|
||||
|
||||
"isTool": true,
|
||||
"templateType": "communication",
|
||||
|
||||
"workflow": {
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "pluginInput",
|
||||
"name": "自定义插件输入",
|
||||
"intro": "可以配置插件需要哪些输入,利用这些输入来运行插件",
|
||||
"avatar": "core/workflow/template/workflowStart",
|
||||
"flowNodeType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 156.37657136084977,
|
||||
"y": 90.73380846709256
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"selectedTypeIndex": 0,
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "content",
|
||||
"label": "content",
|
||||
"description": "需要发送的消息",
|
||||
"required": true,
|
||||
"toolDescription": "需要发送的消息"
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["input"],
|
||||
"selectedTypeIndex": 0,
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "hook_url",
|
||||
"label": "hook_url",
|
||||
"description": "飞书机器人地址",
|
||||
"required": true,
|
||||
"defaultValue": ""
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "query",
|
||||
"valueType": "string",
|
||||
"key": "content",
|
||||
"label": "content",
|
||||
"type": "hidden"
|
||||
},
|
||||
{
|
||||
"id": "hook_url",
|
||||
"valueType": "string",
|
||||
"key": "hook_url",
|
||||
"label": "hook_url",
|
||||
"type": "hidden"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"name": "自定义插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "core/workflow/template/pluginOutput",
|
||||
"flowNodeType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 2110.7223589692912,
|
||||
"y": 120.17602722162474
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "object",
|
||||
"canEdit": true,
|
||||
"key": "result",
|
||||
"label": "result",
|
||||
"description": "",
|
||||
"value": ["vzreK6vHrPvZ", "httpRawResponse"]
|
||||
}
|
||||
],
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"nodeId": "vzreK6vHrPvZ",
|
||||
"name": "HTTP 请求",
|
||||
"intro": "可以发出一个 HTTP 请求,实现更为复杂的操作(联网搜索、数据库查询等)",
|
||||
"avatar": "core/workflow/template/httpRequest",
|
||||
"flowNodeType": "httpRequest468",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
"x": 1363.4233257919495,
|
||||
"y": -182.3490463845037
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
{
|
||||
"key": "system_addInputParam",
|
||||
"renderTypeList": ["addInputParam"],
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.HTTP Dynamic Input",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"value": "POST",
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"value": "{{url}}"
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpParams",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"key": "system_httpJsonBody",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": "{{content}}",
|
||||
"label": "",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "url",
|
||||
"label": "url",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
},
|
||||
"required": true,
|
||||
"value": ["pluginInput", "hook_url"]
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "object",
|
||||
"canEdit": true,
|
||||
"key": "content",
|
||||
"label": "content",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
},
|
||||
"required": true,
|
||||
"value": ["qcJpBBVtXsGd", "system_rawResponse"]
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "请求错误",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"label": "原始响应",
|
||||
"required": true,
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "system_addOutputParam",
|
||||
"key": "system_addOutputParam",
|
||||
"type": "dynamic",
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"customFieldConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": false
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"nodeId": "qcJpBBVtXsGd",
|
||||
"name": "代码运行",
|
||||
"intro": "执行一段简单的脚本代码,通常用于进行复杂的数据处理。",
|
||||
"avatar": "core/workflow/template/codeRun",
|
||||
"flowNodeType": "code",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
"x": 805.8169457909617,
|
||||
"y": -159.52218926716316
|
||||
},
|
||||
"version": "482",
|
||||
"inputs": [
|
||||
{
|
||||
"key": "system_addInputParam",
|
||||
"renderTypeList": ["addInputParam"],
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "这些变量会作为代码的运行的输入参数",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
{
|
||||
"key": "codeType",
|
||||
"renderTypeList": ["hidden"],
|
||||
"label": "",
|
||||
"value": "js"
|
||||
},
|
||||
{
|
||||
"key": "code",
|
||||
"renderTypeList": ["custom"],
|
||||
"label": "",
|
||||
"value": "function main({data1}){\n try{\n const parseData = JSON.parse(data1)\n if(typeof parseData === 'object') {\n return parseData\n }\n return {\n \"msg_type\": \"text\",\n content: {\n \"text\": data1\n }\n }\n } catch(err) {\n return {\n \"msg_type\": \"text\",\n content: {\n \"text\": data1\n }\n }\n }\n}"
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
"valueType": "string",
|
||||
"canEdit": true,
|
||||
"key": "data1",
|
||||
"label": "data1",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
},
|
||||
"required": true,
|
||||
"value": ["pluginInput", "query"]
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "system_rawResponse",
|
||||
"key": "system_rawResponse",
|
||||
"label": "完整响应数据",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "运行错误",
|
||||
"description": "代码运行错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "system_addOutputParam",
|
||||
"key": "system_addOutputParam",
|
||||
"type": "dynamic",
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"customFieldConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
"number",
|
||||
"boolean",
|
||||
"object",
|
||||
"arrayString",
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
"dynamic",
|
||||
"selectApp",
|
||||
"selectDataset"
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": false
|
||||
},
|
||||
"description": "将代码中 return 的对象作为输出,传递给后续的节点。变量名需要对应 return 的 key"
|
||||
},
|
||||
{
|
||||
"id": "qLUQfhG0ILRX",
|
||||
"type": "dynamic",
|
||||
"key": "content",
|
||||
"valueType": "object",
|
||||
"label": "content"
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "vzreK6vHrPvZ",
|
||||
"target": "pluginOutput",
|
||||
"sourceHandle": "vzreK6vHrPvZ-source-right",
|
||||
"targetHandle": "pluginOutput-target-left"
|
||||
},
|
||||
{
|
||||
"source": "pluginInput",
|
||||
"target": "qcJpBBVtXsGd",
|
||||
"sourceHandle": "pluginInput-source-right",
|
||||
"targetHandle": "qcJpBBVtXsGd-target-left"
|
||||
},
|
||||
{
|
||||
"source": "qcJpBBVtXsGd",
|
||||
"target": "vzreK6vHrPvZ",
|
||||
"sourceHandle": "qcJpBBVtXsGd-source-right",
|
||||
"targetHandle": "vzreK6vHrPvZ-target-left"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -1,8 +1,8 @@
|
||||
{
|
||||
"author": "FastGPT",
|
||||
"author": "",
|
||||
"version": "486",
|
||||
"name": "网页内容抓取",
|
||||
"avatar": "/imgs/workflow/fetchUrl.svg",
|
||||
"avatar": "core/workflow/template/fetchUrl",
|
||||
"intro": "可获取一个网页链接内容,并以 Markdown 格式输出,仅支持获取静态网站。",
|
||||
"showStatus": true,
|
||||
"weight": 10,
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
{
|
||||
"author": "FastGPT Team",
|
||||
"author": "",
|
||||
"version": "481",
|
||||
"templateType": "tools",
|
||||
"name": "获取当前时间",
|
||||
"avatar": "/imgs/workflow/getCurrentTime.svg",
|
||||
"avatar": "core/workflow/template/getTime",
|
||||
"intro": "获取用户当前时区的时间。",
|
||||
"showStatus": false,
|
||||
"isTool": true,
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
import { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
|
||||
import { Parser } from 'expr-eval';
|
||||
|
||||
type Props = {
|
||||
|
||||
@@ -1,8 +1,8 @@
|
||||
{
|
||||
"author": "FastGPT",
|
||||
"author": "",
|
||||
"version": "486",
|
||||
"name": "数学公式执行",
|
||||
"avatar": "/imgs/workflow/mathExprEval.svg",
|
||||
"avatar": "core/workflow/template/mathCall",
|
||||
"intro": "用于执行数学表达式的工具,通过 js 的 expr-eval 库运行表达式并返回结果。",
|
||||
"showStatus": false,
|
||||
"weight": 10,
|
||||
|
||||
6
packages/plugins/type.d.ts
vendored
6
packages/plugins/type.d.ts
vendored
@@ -1,7 +1,9 @@
|
||||
import { PluginTemplateType } from '@fastgpt/global/core/plugin/type.d';
|
||||
import { SystemPluginTemplateItemType } from '@fastgpt/global/core/workflow/type';
|
||||
|
||||
export type SystemPluginResponseType = Promise<Record<string, any>>;
|
||||
|
||||
declare global {
|
||||
var communitySystemPlugins: SystemPluginTemplateItemType[];
|
||||
var communitySystemPluginCb: Record<string, (e: any) => SystemPluginResponseType>;
|
||||
var systemPlugins: SystemPluginTemplateItemType[];
|
||||
var systemPluginCb: Record<string, (e: any) => SystemPluginResponseType>;
|
||||
}
|
||||
|
||||
@@ -63,6 +63,7 @@ const instance = axios.create({
|
||||
'Cache-Control': 'no-cache'
|
||||
}
|
||||
});
|
||||
export const serverRequestBaseUrl = `http://${SERVICE_LOCAL_HOST}`;
|
||||
|
||||
/* 请求拦截 */
|
||||
instance.interceptors.request.use(requestStart, (err) => Promise.reject(err));
|
||||
@@ -79,7 +80,7 @@ export function request(url: string, data: any, config: ConfigType, method: Meth
|
||||
|
||||
return instance
|
||||
.request({
|
||||
baseURL: `http://${SERVICE_LOCAL_HOST}`,
|
||||
baseURL: serverRequestBaseUrl,
|
||||
url,
|
||||
method,
|
||||
data: ['POST', 'PUT'].includes(method) ? data : null,
|
||||
|
||||
@@ -163,6 +163,7 @@ export const readFileContentFromMongo = async ({
|
||||
|
||||
const encoding = file?.metadata?.encoding || detectFileEncoding(fileBuffers);
|
||||
|
||||
// Get raw text
|
||||
const { rawText } = await readRawContentByFileBuffer({
|
||||
extension,
|
||||
isQAImport,
|
||||
|
||||
@@ -2,9 +2,10 @@ import { UploadImgProps } from '@fastgpt/global/common/file/api';
|
||||
import { imageBaseUrl } from '@fastgpt/global/common/file/image/constants';
|
||||
import { MongoImage } from './schema';
|
||||
import { ClientSession } from '../../../common/mongo';
|
||||
import { guessBase64ImageType } from '../utils';
|
||||
|
||||
export function getMongoImgUrl(id: string) {
|
||||
return `${imageBaseUrl}${id}`;
|
||||
export function getMongoImgUrl(id: string, extension: string) {
|
||||
return `${imageBaseUrl}${id}.${extension}`;
|
||||
}
|
||||
|
||||
export const maxImgSize = 1024 * 1024 * 12;
|
||||
@@ -23,9 +24,10 @@ export async function uploadMongoImg({
|
||||
return Promise.reject('Image too large');
|
||||
}
|
||||
|
||||
const [base64Mime, base64Data] = base64Img.split(',')
|
||||
const mime = `image/${base64Mime.match(base64MimeRegex)?.[1] ?? 'jpeg'}`
|
||||
const [base64Mime, base64Data] = base64Img.split(',');
|
||||
const mime = `image/${base64Mime.match(base64MimeRegex)?.[1] ?? 'image/jpeg'}`;
|
||||
const binary = Buffer.from(base64Data, 'base64');
|
||||
const extension = mime.split('/')[1];
|
||||
|
||||
const { _id } = await MongoImage.create({
|
||||
type,
|
||||
@@ -36,15 +38,20 @@ export async function uploadMongoImg({
|
||||
shareId
|
||||
});
|
||||
|
||||
return getMongoImgUrl(String(_id));
|
||||
return getMongoImgUrl(String(_id), extension);
|
||||
}
|
||||
|
||||
export async function readMongoImg({ id }: { id: string }) {
|
||||
const data = await MongoImage.findById(id);
|
||||
const formatId = id.replace(/\.[^/.]+$/, '');
|
||||
|
||||
const data = await MongoImage.findById(formatId);
|
||||
if (!data) {
|
||||
return Promise.reject('Image not found');
|
||||
}
|
||||
return data;
|
||||
return {
|
||||
binary: data.binary,
|
||||
mime: data.metadata?.mime ?? guessBase64ImageType(data.binary.toString('base64'))
|
||||
};
|
||||
}
|
||||
|
||||
export async function delImgByRelatedId({
|
||||
|
||||
@@ -6,9 +6,10 @@ import { addHours } from 'date-fns';
|
||||
import { WorkerNameEnum, runWorker } from '../../../worker/utils';
|
||||
import fs from 'fs';
|
||||
import { detectFileEncoding } from '@fastgpt/global/common/file/tools';
|
||||
import { ReadFileResponse } from '../../../worker/file/type';
|
||||
import type { ReadFileResponse } from '../../../worker/readFile/type';
|
||||
|
||||
export const initMarkdownText = ({
|
||||
// match md img text and upload to db
|
||||
export const matchMdImgTextAndUpload = ({
|
||||
teamId,
|
||||
md,
|
||||
metadata
|
||||
@@ -79,7 +80,7 @@ export const readRawContentByFileBuffer = async ({
|
||||
|
||||
// markdown data format
|
||||
if (['md', 'html', 'docx'].includes(extension)) {
|
||||
rawText = await initMarkdownText({
|
||||
rawText = await matchMdImgTextAndUpload({
|
||||
teamId: teamId,
|
||||
md: rawText,
|
||||
metadata: metadata
|
||||
|
||||
@@ -47,8 +47,6 @@ const addCommonMiddleware = (schema: mongoose.Schema) => {
|
||||
|
||||
if (duration > 1000) {
|
||||
addLog.warn(`Slow operation ${duration}ms`, warnLogData);
|
||||
} else if (duration > 300) {
|
||||
addLog.error(`Slow operation ${duration}ms`, warnLogData);
|
||||
}
|
||||
}
|
||||
next();
|
||||
@@ -64,10 +62,13 @@ export const getMongoModel = <T>(name: string, schema: mongoose.Schema) => {
|
||||
addCommonMiddleware(schema);
|
||||
|
||||
const model = connectionMongo.model<T>(name, schema);
|
||||
try {
|
||||
model.syncIndexes();
|
||||
} catch (error) {
|
||||
addLog.error('Create index error', error);
|
||||
|
||||
if (process.env.SYNC_INDEX !== '0') {
|
||||
try {
|
||||
model.syncIndexes({ background: true });
|
||||
} catch (error) {
|
||||
addLog.error('Create index error', error);
|
||||
}
|
||||
}
|
||||
|
||||
return model;
|
||||
|
||||
@@ -1,3 +1,4 @@
|
||||
import { delay } from '@fastgpt/global/common/system/utils';
|
||||
import { addLog } from '../system/log';
|
||||
import { connectionMongo } from './index';
|
||||
import type { Mongoose } from 'mongoose';
|
||||
@@ -7,26 +8,21 @@ const maxConnecting = Math.max(30, Number(process.env.DB_MAX_LINK || 20));
|
||||
/**
|
||||
* connect MongoDB and init data
|
||||
*/
|
||||
export async function connectMongo({
|
||||
beforeHook,
|
||||
afterHook
|
||||
}: {
|
||||
beforeHook?: () => any;
|
||||
afterHook?: () => Promise<any>;
|
||||
}): Promise<Mongoose> {
|
||||
export async function connectMongo(): Promise<Mongoose> {
|
||||
/* Connecting, connected will return */
|
||||
if (connectionMongo.connection.readyState !== 0) {
|
||||
return connectionMongo;
|
||||
}
|
||||
|
||||
beforeHook && beforeHook();
|
||||
|
||||
console.log('mongo start connect');
|
||||
try {
|
||||
connectionMongo.set('strictQuery', true);
|
||||
|
||||
connectionMongo.connection.on('error', (error) => {
|
||||
connectionMongo.connection.on('error', async (error) => {
|
||||
console.log('mongo error', error);
|
||||
connectionMongo.disconnect();
|
||||
await connectionMongo.disconnect();
|
||||
await delay(1000);
|
||||
connectMongo();
|
||||
});
|
||||
connectionMongo.connection.on('disconnected', () => {
|
||||
console.log('mongo disconnected');
|
||||
@@ -50,16 +46,11 @@ export async function connectMongo({
|
||||
});
|
||||
|
||||
console.log('mongo connected');
|
||||
return connectionMongo;
|
||||
} catch (error) {
|
||||
connectionMongo.disconnect();
|
||||
addLog.error('mongo connect error', error);
|
||||
await connectionMongo.disconnect();
|
||||
await delay(1000);
|
||||
return connectMongo();
|
||||
}
|
||||
|
||||
try {
|
||||
afterHook && (await afterHook());
|
||||
} catch (error) {
|
||||
addLog.error('mongo connect after hook error', error);
|
||||
}
|
||||
|
||||
return connectionMongo;
|
||||
}
|
||||
|
||||
@@ -6,95 +6,41 @@ import {
|
||||
} from '@fastgpt/global/core/ai/type';
|
||||
import { chats2GPTMessages } from '@fastgpt/global/core/chat/adapt';
|
||||
import { ChatItemType } from '@fastgpt/global/core/chat/type';
|
||||
import { WorkerNameEnum, getWorker } from '../../../worker/utils';
|
||||
import { WorkerNameEnum, getWorkerController } from '../../../worker/utils';
|
||||
import { ChatCompletionRequestMessageRoleEnum } from '@fastgpt/global/core/ai/constants';
|
||||
import { getNanoid } from '@fastgpt/global/common/string/tools';
|
||||
import { addLog } from '../../system/log';
|
||||
|
||||
export const getTiktokenWorker = () => {
|
||||
const maxWorkers = global.systemEnv?.tokenWorkers || 20;
|
||||
|
||||
if (!global.tiktokenWorkers) {
|
||||
global.tiktokenWorkers = [];
|
||||
}
|
||||
|
||||
if (global.tiktokenWorkers.length >= maxWorkers) {
|
||||
return global.tiktokenWorkers[Math.floor(Math.random() * global.tiktokenWorkers.length)];
|
||||
}
|
||||
|
||||
const worker = getWorker(WorkerNameEnum.countGptMessagesTokens);
|
||||
|
||||
const i = global.tiktokenWorkers.push({
|
||||
index: global.tiktokenWorkers.length,
|
||||
worker,
|
||||
callbackMap: {}
|
||||
});
|
||||
|
||||
worker.on('message', ({ id, data }: { id: string; data: number }) => {
|
||||
const callback = global.tiktokenWorkers[i - 1]?.callbackMap?.[id];
|
||||
|
||||
if (callback) {
|
||||
callback?.(data);
|
||||
delete global.tiktokenWorkers[i - 1].callbackMap[id];
|
||||
}
|
||||
});
|
||||
|
||||
return global.tiktokenWorkers[i - 1];
|
||||
};
|
||||
|
||||
export const countGptMessagesTokens = (
|
||||
export const countGptMessagesTokens = async (
|
||||
messages: ChatCompletionMessageParam[],
|
||||
tools?: ChatCompletionTool[],
|
||||
functionCall?: ChatCompletionCreateParams.Function[]
|
||||
) => {
|
||||
return new Promise<number>(async (resolve) => {
|
||||
try {
|
||||
const start = Date.now();
|
||||
try {
|
||||
const workerController = getWorkerController<
|
||||
{
|
||||
messages: ChatCompletionMessageParam[];
|
||||
tools?: ChatCompletionTool[];
|
||||
functionCall?: ChatCompletionCreateParams.Function[];
|
||||
},
|
||||
number
|
||||
>({
|
||||
name: WorkerNameEnum.countGptMessagesTokens,
|
||||
maxReservedThreads: global.systemEnv?.tokenWorkers || 20
|
||||
});
|
||||
|
||||
const { worker, callbackMap } = getTiktokenWorker();
|
||||
const total = await workerController.run({ messages, tools, functionCall });
|
||||
|
||||
const id = getNanoid();
|
||||
|
||||
const timer = setTimeout(() => {
|
||||
console.log('Count token Time out');
|
||||
resolve(
|
||||
messages.reduce((sum, item) => {
|
||||
if (item.content) {
|
||||
return sum + item.content.length * 0.5;
|
||||
}
|
||||
return sum;
|
||||
}, 0)
|
||||
);
|
||||
delete callbackMap[id];
|
||||
}, 60000);
|
||||
|
||||
callbackMap[id] = (data) => {
|
||||
// 检测是否有内存泄漏
|
||||
addLog.debug(`Count token time: ${Date.now() - start}, token: ${data}`);
|
||||
// console.log(process.memoryUsage());
|
||||
|
||||
resolve(data);
|
||||
clearTimeout(timer);
|
||||
};
|
||||
|
||||
// 可以进一步优化(传递100w token数据,实际需要300ms,较慢)
|
||||
worker.postMessage({
|
||||
id,
|
||||
messages,
|
||||
tools,
|
||||
functionCall
|
||||
});
|
||||
} catch (error) {
|
||||
addLog.error('Count token error', error);
|
||||
const total = messages.reduce((sum, item) => {
|
||||
if (item.content) {
|
||||
return sum + item.content.length;
|
||||
}
|
||||
return sum;
|
||||
}, 0);
|
||||
resolve(total);
|
||||
}
|
||||
});
|
||||
return total;
|
||||
} catch (error) {
|
||||
addLog.error('Count token error', error);
|
||||
const total = messages.reduce((sum, item) => {
|
||||
if (item.content) {
|
||||
return sum + item.content.length * 0.5;
|
||||
}
|
||||
return sum;
|
||||
}, 0);
|
||||
return total;
|
||||
}
|
||||
};
|
||||
|
||||
export const countMessagesTokens = (messages: ChatItemType[]) => {
|
||||
|
||||
@@ -30,7 +30,7 @@ const { LOG_LEVEL, STORE_LOG_LEVEL } = (() => {
|
||||
const STORE_LOG_LEVEL = (process.env.STORE_LOG_LEVEL || '').toLocaleLowerCase();
|
||||
|
||||
return {
|
||||
LOG_LEVEL: envLogLevelMap[LOG_LEVEL] || LogLevelEnum.info,
|
||||
LOG_LEVEL: envLogLevelMap[LOG_LEVEL] ?? LogLevelEnum.info,
|
||||
STORE_LOG_LEVEL: envLogLevelMap[STORE_LOG_LEVEL] ?? 99
|
||||
};
|
||||
})();
|
||||
|
||||
@@ -10,6 +10,7 @@ import {
|
||||
InsertVectorControllerProps
|
||||
} from '../controller.d';
|
||||
import dayjs from 'dayjs';
|
||||
import { addLog } from '../../system/log';
|
||||
|
||||
export class PgVectorCtrl {
|
||||
constructor() {}
|
||||
@@ -38,9 +39,9 @@ export class PgVectorCtrl {
|
||||
`CREATE INDEX CONCURRENTLY IF NOT EXISTS create_time_index ON ${DatasetVectorTableName} USING btree(createtime);`
|
||||
);
|
||||
|
||||
console.log('init pg successful');
|
||||
addLog.info('init pg successful');
|
||||
} catch (error) {
|
||||
console.log('init pg error', error);
|
||||
addLog.error('init pg error', error);
|
||||
}
|
||||
};
|
||||
insert = async (props: InsertVectorControllerProps): Promise<{ insertId: string }> => {
|
||||
|
||||
30
packages/service/core/ai/audio/transcriptions.ts
Normal file
30
packages/service/core/ai/audio/transcriptions.ts
Normal file
@@ -0,0 +1,30 @@
|
||||
import fs from 'fs';
|
||||
import { getAxiosConfig } from '../config';
|
||||
import axios from 'axios';
|
||||
import FormData from 'form-data';
|
||||
|
||||
export const aiTranscriptions = async ({
|
||||
model,
|
||||
fileStream
|
||||
}: {
|
||||
model: string;
|
||||
fileStream: fs.ReadStream;
|
||||
}) => {
|
||||
const data = new FormData();
|
||||
data.append('model', model);
|
||||
data.append('file', fileStream);
|
||||
|
||||
const aiAxiosConfig = getAxiosConfig();
|
||||
const { data: result } = await axios<{ text: string }>({
|
||||
method: 'post',
|
||||
baseURL: aiAxiosConfig.baseUrl,
|
||||
url: '/audio/transcriptions',
|
||||
headers: {
|
||||
Authorization: aiAxiosConfig.authorization,
|
||||
...data.getHeaders()
|
||||
},
|
||||
data: data
|
||||
});
|
||||
|
||||
return result;
|
||||
};
|
||||
@@ -21,3 +21,16 @@ export const getAIApi = (props?: {
|
||||
maxRetries: 2
|
||||
});
|
||||
};
|
||||
|
||||
export const getAxiosConfig = (props?: { userKey?: UserModelSchema['openaiAccount'] }) => {
|
||||
const { userKey } = props || {};
|
||||
|
||||
const baseUrl =
|
||||
userKey?.baseUrl || global?.systemEnv?.oneapiUrl || process.env.ONEAPI_URL || openaiBaseUrl;
|
||||
const apiKey = userKey?.key || global?.systemEnv?.chatApiKey || process.env.CHAT_API_KEY || '';
|
||||
|
||||
return {
|
||||
baseUrl,
|
||||
authorization: `Bearer ${apiKey}`
|
||||
};
|
||||
};
|
||||
|
||||
@@ -9,7 +9,7 @@ import { getNanoid } from '@fastgpt/global/common/string/tools';
|
||||
import { cloneDeep } from 'lodash';
|
||||
import { MongoApp } from '../schema';
|
||||
import { SystemPluginTemplateItemType } from '@fastgpt/global/core/workflow/type';
|
||||
import { getCommunityPlugins } from '@fastgpt/plugins/register';
|
||||
import { getSystemPluginTemplates } from '../../../../plugins/register';
|
||||
|
||||
/*
|
||||
plugin id rule:
|
||||
@@ -28,7 +28,7 @@ export async function splitCombinePluginId(id: string) {
|
||||
};
|
||||
}
|
||||
|
||||
const [source, pluginId] = id.split('-') as [`${PluginSourceEnum}`, string];
|
||||
const [source, pluginId] = id.split('-') as [PluginSourceEnum, string];
|
||||
if (!source || !pluginId) return Promise.reject('pluginId not found');
|
||||
|
||||
return { source, pluginId: id };
|
||||
@@ -39,14 +39,6 @@ const getPluginTemplateById = async (
|
||||
): Promise<SystemPluginTemplateItemType & { teamId?: string }> => {
|
||||
const { source, pluginId } = await splitCombinePluginId(id);
|
||||
|
||||
if (source === PluginSourceEnum.community) {
|
||||
const item = [...global.communityPlugins, ...getCommunityPlugins()].find(
|
||||
(plugin) => plugin.id === pluginId
|
||||
);
|
||||
if (!item) return Promise.reject('plugin not found');
|
||||
|
||||
return cloneDeep(item);
|
||||
}
|
||||
if (source === PluginSourceEnum.personal) {
|
||||
const item = await MongoApp.findById(id).lean();
|
||||
if (!item) return Promise.reject('plugin not found');
|
||||
@@ -68,8 +60,14 @@ const getPluginTemplateById = async (
|
||||
originCost: 0,
|
||||
currentCost: 0
|
||||
};
|
||||
} else {
|
||||
const item = [...global.communityPlugins, ...(await getSystemPluginTemplates())].find(
|
||||
(plugin) => plugin.id === pluginId
|
||||
);
|
||||
if (!item) return Promise.reject('plugin not found');
|
||||
|
||||
return cloneDeep(item);
|
||||
}
|
||||
return Promise.reject('plugin not found');
|
||||
};
|
||||
|
||||
/* format plugin modules to plugin preview module */
|
||||
@@ -84,6 +82,7 @@ export async function getPluginPreviewNode({ id }: { id: string }): Promise<Flow
|
||||
avatar: plugin.avatar,
|
||||
name: plugin.name,
|
||||
intro: plugin.intro,
|
||||
inputExplanationUrl: plugin.inputExplanationUrl,
|
||||
showStatus: plugin.showStatus,
|
||||
isTool: plugin.isTool,
|
||||
version: plugin.version,
|
||||
@@ -98,10 +97,12 @@ export async function getPluginRuntimeById(id: string): Promise<PluginRuntimeTyp
|
||||
const plugin = await getPluginTemplateById(id);
|
||||
|
||||
return {
|
||||
id: plugin.id,
|
||||
teamId: plugin.teamId,
|
||||
name: plugin.name,
|
||||
avatar: plugin.avatar,
|
||||
showStatus: plugin.showStatus,
|
||||
currentCost: plugin.currentCost,
|
||||
nodes: plugin.workflow.nodes,
|
||||
edges: plugin.workflow.edges
|
||||
};
|
||||
|
||||
35
packages/service/core/app/plugin/systemPluginSchema.ts
Normal file
35
packages/service/core/app/plugin/systemPluginSchema.ts
Normal file
@@ -0,0 +1,35 @@
|
||||
import { connectionMongo, getMongoModel } from '../../../common/mongo/index';
|
||||
const { Schema } = connectionMongo;
|
||||
import type { SystemPluginConfigSchemaType } from './type';
|
||||
|
||||
export const collectionName = 'app_system_plugins';
|
||||
|
||||
const SystemPluginSchema = new Schema({
|
||||
pluginId: {
|
||||
type: String,
|
||||
required: true
|
||||
},
|
||||
isActive: {
|
||||
type: Boolean,
|
||||
required: true
|
||||
},
|
||||
inputConfig: {
|
||||
type: Array,
|
||||
default: []
|
||||
},
|
||||
originCost: {
|
||||
type: Number,
|
||||
default: 0
|
||||
},
|
||||
currentCost: {
|
||||
type: Number,
|
||||
default: 0
|
||||
}
|
||||
});
|
||||
|
||||
SystemPluginSchema.index({ pluginId: 1 });
|
||||
|
||||
export const MongoSystemPluginSchema = getMongoModel<SystemPluginConfigSchemaType>(
|
||||
collectionName,
|
||||
SystemPluginSchema
|
||||
);
|
||||
10
packages/service/core/app/plugin/type.d.ts
vendored
Normal file
10
packages/service/core/app/plugin/type.d.ts
vendored
Normal file
@@ -0,0 +1,10 @@
|
||||
import { SystemPluginTemplateItemType } from '@fastgpt/global/core/workflow/type';
|
||||
|
||||
export type SystemPluginConfigSchemaType = {
|
||||
pluginId: string;
|
||||
|
||||
originCost: number; // n points/one time
|
||||
currentCost: number;
|
||||
isActive: boolean;
|
||||
inputConfig: SystemPluginTemplateItemType['inputConfig'];
|
||||
};
|
||||
21
packages/service/core/app/plugin/utils.ts
Normal file
21
packages/service/core/app/plugin/utils.ts
Normal file
@@ -0,0 +1,21 @@
|
||||
import { PluginRuntimeType } from '@fastgpt/global/core/workflow/runtime/type';
|
||||
import { ChatNodeUsageType } from '@fastgpt/global/support/wallet/bill/type';
|
||||
import { splitCombinePluginId } from './controller';
|
||||
import { PluginSourceEnum } from '@fastgpt/global/core/plugin/constants';
|
||||
|
||||
/*
|
||||
1. Commercial plugin: n points per times
|
||||
2. Other plugin: sum of children points
|
||||
*/
|
||||
export const computedPluginUsage = async (
|
||||
plugin: PluginRuntimeType,
|
||||
childrenUsage: ChatNodeUsageType[]
|
||||
) => {
|
||||
const { source } = await splitCombinePluginId(plugin.id);
|
||||
|
||||
if (source === PluginSourceEnum.commercial) {
|
||||
return plugin.currentCost ?? 0;
|
||||
}
|
||||
|
||||
return childrenUsage.reduce((sum, item) => sum + (item.totalPoints || 0), 0);
|
||||
};
|
||||
@@ -89,7 +89,7 @@ try {
|
||||
get chat logs;
|
||||
close custom feedback;
|
||||
*/
|
||||
ChatItemSchema.index({ appId: 1, chatId: 1, dataId: 1 }, { background: true, unique: true });
|
||||
ChatItemSchema.index({ appId: 1, chatId: 1, dataId: 1 }, { background: true });
|
||||
// admin charts
|
||||
ChatItemSchema.index({ time: -1, obj: 1 }, { background: true });
|
||||
// timer, clear history
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import { connectionMongo, getMongoModel, type Model } from '../../common/mongo';
|
||||
const { Schema, model, models } = connectionMongo;
|
||||
import { connectionMongo, getMongoModel } from '../../common/mongo';
|
||||
const { Schema } = connectionMongo;
|
||||
import { ChatSchema as ChatType } from '@fastgpt/global/core/chat/type.d';
|
||||
import { ChatSourceMap } from '@fastgpt/global/core/chat/constants';
|
||||
import {
|
||||
@@ -85,7 +85,7 @@ try {
|
||||
// get user history
|
||||
ChatSchema.index({ tmbId: 1, appId: 1, top: -1, updateTime: -1 }, { background: true });
|
||||
// delete by appid; clear history; init chat; update chat; auth chat; get chat;
|
||||
ChatSchema.index({ appId: 1, chatId: 1 }, { background: true, unique: true });
|
||||
ChatSchema.index({ appId: 1, chatId: 1 }, { background: true });
|
||||
|
||||
// get chat logs;
|
||||
ChatSchema.index({ teamId: 1, appId: 1, updateTime: -1 }, { background: true });
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
import { IMG_BLOCK_KEY } from '@fastgpt/global/core/chat/constants';
|
||||
import { countGptMessagesTokens } from '../../common/string/tiktoken/index';
|
||||
import type {
|
||||
ChatCompletionContentPart,
|
||||
@@ -7,6 +6,8 @@ import type {
|
||||
import axios from 'axios';
|
||||
import { ChatCompletionRequestMessageRoleEnum } from '@fastgpt/global/core/ai/constants';
|
||||
import { guessBase64ImageType } from '../../common/file/utils';
|
||||
import { serverRequestBaseUrl } from '../../common/api/serverRequest';
|
||||
import { cloneDeep } from 'lodash';
|
||||
|
||||
/* slice chat context by tokens */
|
||||
const filterEmptyMessages = (messages: ChatCompletionMessageParam[]) => {
|
||||
@@ -120,137 +121,64 @@ export const formatGPTMessagesInRequestBefore = (messages: ChatCompletionMessage
|
||||
.filter(Boolean) as ChatCompletionMessageParam[];
|
||||
};
|
||||
|
||||
/**
|
||||
string to vision model. Follow the markdown code block rule for interception:
|
||||
|
||||
@rule:
|
||||
```img-block
|
||||
{src:""}
|
||||
{src:""}
|
||||
```
|
||||
```file-block
|
||||
{name:"",src:""},
|
||||
{name:"",src:""}
|
||||
```
|
||||
@example:
|
||||
What’s in this image?
|
||||
```img-block
|
||||
{src:"https://1.png"}
|
||||
```
|
||||
@return
|
||||
[
|
||||
{ type: 'text', text: 'What’s in this image?' },
|
||||
{
|
||||
type: 'image_url',
|
||||
image_url: {
|
||||
url: 'https://1.png'
|
||||
}
|
||||
}
|
||||
]
|
||||
*/
|
||||
export async function formatStr2ChatContent(str: string) {
|
||||
const content: ChatCompletionContentPart[] = [];
|
||||
let lastIndex = 0;
|
||||
const regex = new RegExp(`\`\`\`(${IMG_BLOCK_KEY})\\n([\\s\\S]*?)\`\`\``, 'g');
|
||||
|
||||
const imgKey: 'image_url' = 'image_url';
|
||||
|
||||
let match;
|
||||
|
||||
while ((match = regex.exec(str)) !== null) {
|
||||
// add previous text
|
||||
if (match.index > lastIndex) {
|
||||
const text = str.substring(lastIndex, match.index).trim();
|
||||
if (text) {
|
||||
content.push({ type: 'text', text });
|
||||
}
|
||||
}
|
||||
|
||||
const blockType = match[1].trim();
|
||||
|
||||
if (blockType === IMG_BLOCK_KEY) {
|
||||
const blockContentLines = match[2].trim().split('\n');
|
||||
const jsonLines = blockContentLines.map((item) => {
|
||||
try {
|
||||
return JSON.parse(item) as { src: string };
|
||||
} catch (error) {
|
||||
return { src: '' };
|
||||
}
|
||||
});
|
||||
|
||||
for (const item of jsonLines) {
|
||||
if (!item.src) throw new Error("image block's content error");
|
||||
}
|
||||
|
||||
content.push(
|
||||
...jsonLines.map((item) => ({
|
||||
type: imgKey,
|
||||
image_url: {
|
||||
url: item.src
|
||||
}
|
||||
}))
|
||||
);
|
||||
}
|
||||
|
||||
lastIndex = regex.lastIndex;
|
||||
}
|
||||
|
||||
// add remaining text
|
||||
if (lastIndex < str.length) {
|
||||
const remainingText = str.substring(lastIndex).trim();
|
||||
if (remainingText) {
|
||||
content.push({ type: 'text', text: remainingText });
|
||||
}
|
||||
}
|
||||
|
||||
// Continuous text type content, if type=text, merge them
|
||||
for (let i = 0; i < content.length - 1; i++) {
|
||||
const currentContent = content[i];
|
||||
const nextContent = content[i + 1];
|
||||
if (currentContent.type === 'text' && nextContent.type === 'text') {
|
||||
currentContent.text += nextContent.text;
|
||||
content.splice(i + 1, 1);
|
||||
i--;
|
||||
}
|
||||
}
|
||||
|
||||
if (content.length === 1 && content[0].type === 'text') {
|
||||
return content[0].text;
|
||||
}
|
||||
|
||||
if (!content) return null;
|
||||
// load img to base64
|
||||
for await (const item of content) {
|
||||
if (item.type === imgKey && item[imgKey]?.url) {
|
||||
const response = await axios.get(item[imgKey].url, {
|
||||
responseType: 'arraybuffer'
|
||||
});
|
||||
const base64 = Buffer.from(response.data).toString('base64');
|
||||
item[imgKey].url = `data:${response.headers['content-type']};base64,${base64}`;
|
||||
}
|
||||
}
|
||||
|
||||
return content ? content : null;
|
||||
}
|
||||
|
||||
/* Load user chat content.
|
||||
Img: to base 64
|
||||
*/
|
||||
export const loadChatImgToBase64 = async (content: string | ChatCompletionContentPart[]) => {
|
||||
if (typeof content === 'string') {
|
||||
return content;
|
||||
}
|
||||
|
||||
return Promise.all(
|
||||
content.map(async (item) => {
|
||||
if (item.type === 'text') return item;
|
||||
// load image
|
||||
const response = await axios.get(item.image_url.url, {
|
||||
responseType: 'arraybuffer'
|
||||
});
|
||||
const base64 = Buffer.from(response.data).toString('base64');
|
||||
let imageType = response.headers['content-type'];
|
||||
if (imageType === undefined) {
|
||||
imageType = guessBase64ImageType(base64);
|
||||
|
||||
if (!item.image_url.url) return item;
|
||||
|
||||
/*
|
||||
1. From db: Get it from db
|
||||
2. From web: Not update
|
||||
*/
|
||||
if (item.image_url.url.startsWith('/')) {
|
||||
const response = await axios.get(item.image_url.url, {
|
||||
baseURL: serverRequestBaseUrl,
|
||||
responseType: 'arraybuffer'
|
||||
});
|
||||
const base64 = Buffer.from(response.data).toString('base64');
|
||||
let imageType = response.headers['content-type'];
|
||||
if (imageType === undefined) {
|
||||
imageType = guessBase64ImageType(base64);
|
||||
}
|
||||
return {
|
||||
...item,
|
||||
image_url: {
|
||||
...item.image_url,
|
||||
url: `data:${imageType};base64,${base64}`
|
||||
}
|
||||
};
|
||||
}
|
||||
item.image_url.url = `data:${imageType};base64,${base64}`;
|
||||
|
||||
return item;
|
||||
})
|
||||
);
|
||||
};
|
||||
export const loadRequestMessages = async (messages: ChatCompletionMessageParam[]) => {
|
||||
if (messages.length === 0) {
|
||||
return Promise.reject('core.chat.error.Messages empty');
|
||||
}
|
||||
|
||||
const loadMessages = await Promise.all(
|
||||
messages.map(async (item) => {
|
||||
if (item.role === ChatCompletionRequestMessageRoleEnum.User) {
|
||||
return {
|
||||
...item,
|
||||
content: await loadChatImgToBase64(item.content)
|
||||
};
|
||||
} else {
|
||||
return item;
|
||||
}
|
||||
})
|
||||
);
|
||||
|
||||
return loadMessages;
|
||||
};
|
||||
|
||||
@@ -1,6 +1,4 @@
|
||||
import { connectionMongo, getMongoModel, type Model } from '../../common/mongo';
|
||||
const { Schema, model, models } = connectionMongo;
|
||||
import { DatasetSchemaType } from '@fastgpt/global/core/dataset/type.d';
|
||||
import { getMongoModel, Schema } from '../../common/mongo';
|
||||
import {
|
||||
DatasetStatusEnum,
|
||||
DatasetStatusMap,
|
||||
@@ -12,6 +10,8 @@ import {
|
||||
TeamMemberCollectionName
|
||||
} from '@fastgpt/global/support/user/team/constant';
|
||||
import { DatasetDefaultPermissionVal } from '@fastgpt/global/support/permission/dataset/constant';
|
||||
import { getPermissionSchema } from '@fastgpt/global/support/permission/utils';
|
||||
import type { DatasetSchemaType } from '@fastgpt/global/core/dataset/type.d';
|
||||
|
||||
export const DatasetCollectionName = 'datasets';
|
||||
|
||||
@@ -67,7 +67,7 @@ const DatasetSchema = new Schema({
|
||||
agentModel: {
|
||||
type: String,
|
||||
required: true,
|
||||
default: 'gpt-3.5-turbo'
|
||||
default: 'gpt-4o-mini'
|
||||
},
|
||||
intro: {
|
||||
type: String,
|
||||
@@ -85,11 +85,10 @@ const DatasetSchema = new Schema({
|
||||
}
|
||||
}
|
||||
},
|
||||
externalReadUrl: String,
|
||||
defaultPermission: {
|
||||
type: Number,
|
||||
default: DatasetDefaultPermissionVal
|
||||
}
|
||||
externalReadUrl: {
|
||||
type: String
|
||||
},
|
||||
...getPermissionSchema(DatasetDefaultPermissionVal)
|
||||
});
|
||||
|
||||
try {
|
||||
|
||||
@@ -441,11 +441,18 @@ export async function searchDatasetData(props: SearchDatasetDataProps) {
|
||||
|
||||
// token filter
|
||||
const filterMaxTokensResult = await (async () => {
|
||||
const tokensScoreFilter = await Promise.all(
|
||||
scoreFilter.map(async (item) => ({
|
||||
...item,
|
||||
tokens: await countPromptTokens(item.q + item.a)
|
||||
}))
|
||||
);
|
||||
|
||||
const results: SearchDataResponseItemType[] = [];
|
||||
let totalTokens = 0;
|
||||
|
||||
for await (const item of scoreFilter) {
|
||||
totalTokens += await countPromptTokens(item.q + item.a);
|
||||
for await (const item of tokensScoreFilter) {
|
||||
totalTokens += item.tokens;
|
||||
|
||||
if (totalTokens > maxTokens + 500) {
|
||||
break;
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user