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Author SHA1 Message Date
archer
c223d3a2c6 perf: document icon and language select 2023-09-13 18:48:11 +08:00
794 changed files with 48604 additions and 31998 deletions

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

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@@ -55,6 +55,8 @@ jobs:
# Step 4 - Builds the site using Hugo
- name: Build
run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify
env:
HUGO_BASEURL: ${{ vars.BASE_URL }}
# Step 5 - Push our generated site to Vercel
- name: Deploy to Vercel

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@@ -2,10 +2,6 @@ name: deploy-docs-preview
on:
pull_request_target:
paths:
- 'docSite/**'
branches:
- 'main'
workflow_dispatch:
# A workflow run is made up of one or more jobs that can run sequentially or in parallel
@@ -55,6 +51,8 @@ jobs:
# Step 4 - Builds the site using Hugo
- name: Build
run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify
env:
HUGO_BASEURL: ${{ vars.BASE_URL }}
# Step 5 - Push our generated site to Vercel
- name: Deploy to Vercel

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@@ -1,98 +0,0 @@
name: Build FastGPT docs images and copy image to docker hub
on:
workflow_dispatch:
push:
paths:
- 'docSite/**'
branches:
- 'main'
tags:
- 'v*.*.*'
jobs:
build-fastgpt-docs-images:
runs-on: ubuntu-20.04
steps:
- name: Checkout
uses: actions/checkout@v3
with:
fetch-depth: 1
- name: Set up QEMU (optional)
uses: docker/setup-qemu-action@v2
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
with:
driver-opts: network=host
- name: Cache Docker layers
uses: actions/cache@v2
with:
path: /tmp/.buildx-cache
key: ${{ runner.os }}-buildx-${{ github.sha }}
restore-keys: |
${{ runner.os }}-buildx-
- name: Login to GitHub Container Registry
uses: docker/login-action@v2
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GH_PAT }}
- name: Set DOCKER_REPO_TAGGED based on branch or tag
run: |
if [[ "${{ github.ref_name }}" == "main" ]]; then
echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-docs:latest" >> $GITHUB_ENV
else
echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-docs:${{ github.ref_name }}" >> $GITHUB_ENV
fi
- name: Build and publish image for main branch or tag push event
env:
DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
run: |
docker buildx build \
--build-arg name=app \
--platform linux/amd64,linux/arm64 \
--label "org.opencontainers.image.source= https://github.com/ ${{ github.repository_owner }}/FastGPT" \
--label "org.opencontainers.image.description=fastgpt image" \
--label "org.opencontainers.image.licenses=Apache" \
--push \
--cache-from=type=local,src=/tmp/.buildx-cache \
--cache-to=type=local,dest=/tmp/.buildx-cache \
-t ${DOCKER_REPO_TAGGED} \
-f docSite/Dockerfile \
.
push-to-docker-hub:
needs: build-fastgpt-docs-images
runs-on: ubuntu-20.04
if: github.repository == 'labring/FastGPT'
steps:
- name: Checkout code
uses: actions/checkout@v3
- name: Login to Docker Hub
uses: docker/login-action@v2
with:
username: ${{ secrets.DOCKER_HUB_NAME }}
password: ${{ secrets.DOCKER_HUB_PASSWORD }}
- name: Set DOCKER_REPO_TAGGED based on branch or tag
run: |
if [[ "${{ github.ref_name }}" == "main" ]]; then
echo "IMAGE_TAG=latest" >> $GITHUB_ENV
else
echo "IMAGE_TAG=${{ github.ref_name }}" >> $GITHUB_ENV
fi
- name: Pull image from GitHub Container Registry
run: docker pull ghcr.io/${{ github.repository_owner }}/fastgpt-docs:${{env.IMAGE_TAG}}
- name: Tag image with Docker Hub repository name and version tag
run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt-docs:${{env.IMAGE_TAG}} ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
- name: Push image to Docker Hub
run: docker push ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
update-docs-image:
needs: build-fastgpt-docs-images
runs-on: ubuntu-20.04
if: github.repository == 'labring/FastGPT'
steps:
- name: Checkout code
uses: actions/checkout@v3
- uses: actions-hub/kubectl@master
env:
KUBE_CONFIG: ${{ secrets.KUBE_CONFIG }}
with:
args: rollout restart deployment fastgpt-docs

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@@ -1,10 +1,9 @@
name: Build FastGPT images and copy image to docker hub
name: Build fastgpt images and copy image to docker hub
on:
workflow_dispatch:
push:
paths:
- 'projects/app/**'
- 'packages/**'
- 'client/**'
branches:
- 'main'
tags:
@@ -26,13 +25,6 @@ jobs:
uses: docker/setup-buildx-action@v2
with:
driver-opts: network=host
- name: Cache Docker layers
uses: actions/cache@v2
with:
path: /tmp/.buildx-cache
key: ${{ runner.os }}-buildx-${{ github.sha }}
restore-keys: |
${{ runner.os }}-buildx-
- name: Login to GitHub Container Registry
uses: docker/login-action@v2
with:
@@ -46,26 +38,24 @@ jobs:
else
echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
fi
- name: Build and publish image for main branch or tag push event
env:
DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
run: |
cd client && \
docker buildx build \
--build-arg name=app \
--platform linux/amd64,linux/arm64 \
--label "org.opencontainers.image.source= https://github.com/ ${{ github.repository_owner }}/FastGPT" \
--label "org.opencontainers.image.description=fastgpt image" \
--label "org.opencontainers.image.licenses=Apache" \
--label "org.opencontainers.image.licenses=MIT" \
--push \
--cache-from=type=local,src=/tmp/.buildx-cache \
--cache-to=type=local,dest=/tmp/.buildx-cache \
-t ${DOCKER_REPO_TAGGED} \
-f Dockerfile \
.
push-to-docker-hub:
needs: build-fastgpt-images
runs-on: ubuntu-20.04
if: github.repository == 'labring/FastGPT'
steps:
- name: Checkout code
uses: actions/checkout@v3
@@ -89,7 +79,6 @@ jobs:
run: docker push ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
push-to-ali-hub:
needs: build-fastgpt-images
if: github.repository == 'labring/FastGPT'
runs-on: ubuntu-20.04
steps:
- name: Checkout code

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@@ -1,55 +0,0 @@
name: Preview FastGPT images
on:
pull_request_target:
paths:
- 'projects/app/**'
- 'packages/**'
branches:
- 'main'
workflow_dispatch:
jobs:
build-fastgpt-images:
runs-on: ubuntu-20.04
steps:
- name: Checkout
uses: actions/checkout@v3
with:
ref: ${{ github.event.pull_request.head.ref }}
repository: ${{ github.event.pull_request.head.repo.full_name }}
submodules: recursive # Fetch submodules
fetch-depth: 0 # Fetch all history for .GitInfo and .Lastmod
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
with:
driver-opts: network=host
- name: Cache Docker layers
uses: actions/cache@v2
with:
path: /tmp/.buildx-cache
key: ${{ runner.os }}-buildx-${{ github.sha }}
restore-keys: |
${{ runner.os }}-buildx-
- name: Login to GitHub Container Registry
uses: docker/login-action@v2
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GH_PAT }}
- name: Set DOCKER_REPO_TAGGED based on branch or tag
run: |
echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt-pr:${{ github.event.pull_request.number }}" >> $GITHUB_ENV
- name: Build image for PR
env:
DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
run: |
docker buildx build \
--build-arg name=app \
--label "org.opencontainers.image.source= https://github.com/ ${{ github.repository_owner }}/FastGPT" \
--label "org.opencontainers.image.description=fastgpt-pr image" \
--label "org.opencontainers.image.licenses=Apache" \
--cache-from=type=local,src=/tmp/.buildx-cache \
--cache-to=type=local,dest=/tmp/.buildx-cache \
-t ${DOCKER_REPO_TAGGED} \
-f Dockerfile \
.

4
.gitignore vendored
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@@ -33,6 +33,4 @@ dist/
# hugo
**/.hugo_build.lock
docSite/public/
docSite/resources/_gen/
docSite/.vercel
docSite/public/

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

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@@ -1,68 +0,0 @@
# Install dependencies only when needed
FROM node:18.15-alpine AS deps
# Check https://github.com/nodejs/docker-node/tree/b4117f9333da4138b03a546ec926ef50a31506c3#nodealpine to understand why libc6-compat might be needed.
RUN apk add --no-cache libc6-compat && npm install -g pnpm
WORKDIR /app
ARG name
# copy packages and one project
COPY package.json pnpm-lock.yaml pnpm-workspace.yaml ./
COPY ./packages ./packages
COPY ./projects/$name/package.json ./projects/$name/package.json
RUN [ -f pnpm-lock.yaml ] || (echo "Lockfile not found." && exit 1)
RUN pnpm install
# Rebuild the source code only when needed
FROM node:18.15-alpine AS builder
WORKDIR /app
ARG name
# copy common node_modules and one project node_modules
COPY package.json pnpm-workspace.yaml ./
COPY --from=deps /app/node_modules ./node_modules
COPY --from=deps /app/packages ./packages
COPY ./projects/$name ./projects/$name
COPY --from=deps /app/projects/$name/node_modules ./projects/$name/node_modules
# Uncomment the following line in case you want to disable telemetry during the build.
ENV NEXT_TELEMETRY_DISABLED 1
RUN npm install -g pnpm
RUN pnpm --filter=$name run build
FROM node:18.15-alpine AS runner
WORKDIR /app
ARG name
# create user and use it
RUN addgroup --system --gid 1001 nodejs
RUN adduser --system --uid 1001 nextjs
RUN sed -i 's/https/http/' /etc/apk/repositories
RUN apk add curl \
&& apk add ca-certificates \
&& update-ca-certificates
# copy running files
COPY --from=builder /app/projects/$name/public ./projects/$name/public
COPY --from=builder /app/projects/$name/next.config.js ./projects/$name/next.config.js
COPY --from=builder --chown=nextjs:nodejs /app/projects/$name/.next/standalone ./
COPY --from=builder --chown=nextjs:nodejs /app/projects/$name/.next/static ./projects/$name/.next/static
# copy package.json to version file
COPY --from=builder /app/projects/$name/package.json ./package.json
ENV NODE_ENV production
ENV NEXT_TELEMETRY_DISABLED 1
ENV PORT=3000
EXPOSE 3000
USER nextjs
ENV serverPath=./projects/$name/server.js
ENTRYPOINT ["sh","-c","node ${serverPath}"]

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@@ -4,39 +4,25 @@
# FastGPT
<p align="center">
<a href="./README_en.md">English</a> |
<a href="./README.md">简体中文</a>
</p>
FastGPT 是一个基于 LLM 大语言模型的知识库问答系统,提供开箱即用的数据处理、模型调用等能力。同时可以通过 Flow 可视化进行工作流编排,从而实现复杂的问答场景!
</div>
<p align="center">
<a href="https://fastgpt.run/">
<img height="21" src="https://img.shields.io/badge/在线使用-d4eaf7?style=flat-square&logo=spoj&logoColor=7d09f1" alt="cloud">
</a>
<a href="https://doc.fastgpt.run/docs/intro">
<img height="21" src="https://img.shields.io/badge/相关文档-7d09f1?style=flat-square" alt="document">
</a>
<a href="https://doc.fastgpt.run/docs/development">
<img height="21" src="https://img.shields.io/badge/本地开发-%23d4eaf7?style=flat-square&logo=xcode&logoColor=7d09f1" alt="development">
</a>
<a href="/#-%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE">
<img height="21" src="https://img.shields.io/badge/相关项目-7d09f1?style=flat-square" alt="project">
</a>
<a href="https://github.com/labring/FastGPT/blob/main/LICENSE">
<img height="21" src="https://img.shields.io/badge/License-Apache--2.0-ffffff?style=flat-square&labelColor=d4eaf7&color=7d09f1" alt="license">
</a>
<a href="https://fastgpt.run/">线上体验</a>
·
<a href="https://doc.fastgpt.run/docs/intro">相关文档</a>
·
<a href="https://doc.fastgpt.run/docs/development">本地开发</a>
·
<a href="https://github.com/labring/FastGPT#-%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE">相关项目</a>
</p>
https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
## 🛸 在线使用
## 🛸 在线体验
- 🌐 国内版:[ai.fastgpt.in](https://ai.fastgpt.in/)
- 🌍 海外版:[fastgpt.run](https://fastgpt.run/)
[fastgpt.run](https://fastgpt.run/)(服务器在新加坡,部分地区可能无法直连)
| | |
| ---------------------------------- | ---------------------------------- |
@@ -53,7 +39,7 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
- [x] 文本内容提取成结构化数据
- [x] HTTP 扩展
- [ ] 嵌入 Laf实现在线编写 HTTP 模块
- [x] 对话下一步指引
- [ ] 连续对话引导
- [ ] 对话多路线选择
- [x] 源文件引用追踪
- [ ] 自定义文件阅读器
@@ -69,7 +55,7 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
- [x] 知识库单点搜索测试
- [x] 对话时反馈引用并可修改与删除
- [x] 完整上下文呈现
- [x] 完整模块中间值呈现
- [ ] 完整模块中间值呈现
4. OpenAPI
- [x] completions 接口(对齐 GPT 接口)
- [ ] 知识库 CRUD
@@ -94,8 +80,8 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
* [部署 FastGPT](https://doc.fastgpt.run/docs/installation)
* [系统配置文件说明](https://doc.fastgpt.run/docs/development/configuration/)
* [多模型配置](https://doc.fastgpt.run/docs/installation/one-api/)
* [版本更新/升级介绍](https://doc.fastgpt.run/docs/installation/upgrading)
* [API 文档](https://doc.fastgpt.run/docs/development/openapi/)
* [版本升级](https://doc.fastgpt.run/docs/installation/upgrading)
* [API 文档](https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh?pre_pathname=%2Fdrive%2Fhome%2F)
## 🏘️ 社区交流群
@@ -103,6 +89,13 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
![](https://otnvvf-imgs.oss.laf.run/wx300.jpg)
## 👀 其他
- [FastGPT 常见问题](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
- [docker 部署教程视频](https://www.bilibili.com/video/BV1jo4y147fT/)
- [公众号接入视频教程](https://www.bilibili.com/video/BV1xh4y1t7fy/)
- [FastGPT 知识库演示](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
## 💪 相关项目
- [Laf: 3 分钟快速接入三方应用](https://github.com/labring/laf)
@@ -110,15 +103,9 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
- [One API: 多模型管理,支持 Azure、文心一言等](https://github.com/songquanpeng/one-api)
- [TuShan: 5 分钟搭建后台管理系统](https://github.com/msgbyte/tushan)
## 👀 其他
- [保姆级 FastGPT 教程](https://www.bilibili.com/video/BV1n34y1A7Bo/?spm_id_from=333.999.0.0)
- [接入飞书](https://www.bilibili.com/video/BV1Su4y1r7R3/?spm_id_from=333.999.0.0)
- [接入企微](https://www.bilibili.com/video/BV1Tp4y1n72T/?spm_id_from=333.999.0.0)
## 🤝 第三方生态
- [OnWeChat 个人微信/企微机器人](https://doc.fastgpt.run/docs/use-cases/onwechat/)
- [luolinAI: 企微机器人,开箱即用](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
## 🌟 Star History
@@ -128,7 +115,7 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
本仓库遵循 [FastGPT Open Source License](./LICENSE) 开源协议。
1. 允许作为后台服务直接商用,但不允许提供 SaaS 服务。
1. 允许作为后台服务直接商用,但不允许直接使用 saas 服务商用
2. 需保留相关版权信息。
3. 完整请查看 [FastGPT Open Source License](./LICENSE)
4. 联系方式yujinlong@sealos.io, [点击查看定价策略](https://doc.fastgpt.run/docs/commercial)
4. 联系方式yujinlong@sealos.io, [点击查看定价策略](https://fael3z0zfze.feishu.cn/docx/F155dbirfo8vDDx2WgWc6extnwf)

View File

@@ -1,39 +1,25 @@
<div align="center">
<a href="https://fastgpt.run/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
# FastGPT
<p align="center">
<a href="./README_en.md">English</a> |
<a href="./README.md">简体中文</a>
</p>
FastGPT is a knowledge-based Q&A system built on the LLM, offers out-of-the-box data processing and model invocation capabilities, allows for workflow orchestration through Flow visualization!
FastGPT is a knowledge-based question answering system built on the LLM. It offers out-of-the-box data processing and model invocation capabilities. Moreover, it allows for workflow orchestration through Flow visualization, thereby enabling complex question and answer scenarios!
</div>
<p align="center">
<a href="https://fastgpt.run/">
<img height="21" src="https://img.shields.io/badge/在线使用-d4eaf7?style=flat-square&logo=spoj&logoColor=7d09f1" alt="cloud">
</a>
<a href="https://doc.fastgpt.run/docs/intro">
<img height="21" src="https://img.shields.io/badge/相关文档-7d09f1?style=flat-square" alt="document">
</a>
<a href="https://doc.fastgpt.run/docs/development">
<img height="21" src="https://img.shields.io/badge/本地开发-%23d4eaf7?style=flat-square&logo=xcode&logoColor=7d09f1" alt="development">
</a>
<a href="/#-%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE">
<img height="21" src="https://img.shields.io/badge/相关项目-7d09f1?style=flat-square" alt="project">
</a>
<a href="https://github.com/labring/FastGPT/blob/main/LICENSE">
<img height="21" src="https://img.shields.io/badge/License-Apache--2.0-ffffff?style=flat-square&labelColor=d4eaf7&color=7d09f1" alt="license">
</a>
<a href="https://fastgpt.run/">Online</a>
·
<a href="https://doc.fastgpt.run/docs/intro">Document</a>
·
<a href="https://doc.fastgpt.run/docs/development">Development</a>
·
<a href="https://doc.fastgpt.run/docs/installation">Deploy</a>
·
<a href="#powered-by">Power By</a>
</p>
https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
## 🛸 Use Cloud Services
## 🛸 Online
[fastgpt.run](https://fastgpt.run/)
| | |
@@ -43,34 +29,35 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
## 💡 Features
1. Powerful visual workflows: Effortlessly craft AI applications
1. Powerful visual orchestration for easy AI application building
- [x] Simple mode on deck - no need for manual arrangement
- [x] Provides a simple mode without the need for orchestration operations
- [x] User dialogue pre-guidance
- [x] Global variables
- [x] Knowledge base search
- [x] Dialogue via multiple LLM models
- [x] Text magic - convert to structured data
- [x] Extend with HTTP
- [ ] Embed Laf for on-the-fly HTTP module crafting
- [x] Directions for the next dialogue steps
- [ ] Multiple dialogue paths selection
- [x] Tracking source file references
- [ ] Custom file reader
- [x] Multi-LLM model dialogue
- [x] Extraction of text content into structured data
- [x] HTTP extension
- [ ] Sandbox JS runtime module
- [ ] Continuous dialogue guidance
- [ ] Dialogue multi-path selection
- [ ] Source file reference tracking
2. Extensive knowledge base preprocessing
2. Rich knowledge base preprocessing
- [x] Reuse and mix multiple knowledge bases
- [x] Track chunk modifications and deletions
- [x] Supports manual entries, direct segmentation, and QA split imports
- [x] Supports URL fetching and batch CSV imports
- [x] Supports Set unique vector models for knowledge bases
- [x] Store original files
- [ ] File learning Agent
- [x] Multiple library reuse and mixing
- [x] Chunk record modification and deletion
- [x] Supports direct segment import
- [x] Supports QA split import
- [x] Supports manual input content
- [ ] Supports URL import reading
- [x] Supports batch import of Q&A pairs in CSV format
- [ ] Supports separate vector model settings for knowledge bases
- [ ] Source file storage
3. Multiple effect testing channels
- [x] Single-point knowledge base search test
- [x] Knowledge base single point search testing
- [x] Feedback references and ability to modify and delete during dialogue
- [x] Complete context presentation
- [ ] Complete module intermediate value presentation
@@ -90,17 +77,11 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
- **⚡ Deployment**
[![](https://cdn.jsdelivr.us/gh/labring-actions/templates@main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
Give it a 2-4 minute wait after deployment as it sets up the database. Initially, it might be a tad slow since we're using the basic settings.
- [Getting Started with Local Development](https://doc.fastgpt.run/docs/development)
- [Deploying FastGPT](https://doc.fastgpt.run/docs/installation)
- [Guide on System Configs](https://doc.fastgpt.run/docs/installation/reference)
- [Configuring Multiple Models](https://doc.fastgpt.run/docs/installation/reference/models)
- [Version Updates & Upgrades](https://doc.fastgpt.run/docs/installation/upgrading)
- [System Configuration File Explanation](https://doc.fastgpt.run/docs/installation/reference)
- [Multi-model Configuration](https://doc.fastgpt.run/docs/installation/reference/models)
- [V3 Upgrade V4 Initialization](https://doc.fastgpt.run/docs/installation/upgrading)
<!-- ## :point_right: RoadMap
- [FastGPT RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte) -->

View File

@@ -15,9 +15,8 @@ OPENAI_BASE_URL=https://api.openai.com/v1
# 通用key。可以是 openai 的也可以是 oneapi 的。
# 此处逻辑:优先走 ONEAPI_URL如果填写了 ONEAPI_URLkey 也需要是 ONEAPI 的 key
CHAT_API_KEY=sk-xxxx
# mongo 数据库连接参数
# db
MONGODB_URI=mongodb://username:password@0.0.0.0:27017/fastgpt?authSource=admin
# PG 数据库连接参数
PG_URL=postgresql://username:password@host:port/postgres
# 首页路径
HOME_URL=/

65
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@@ -0,0 +1,65 @@
# Install dependencies only when needed
FROM node:current-alpine AS deps
# Check https://github.com/nodejs/docker-node/tree/b4117f9333da4138b03a546ec926ef50a31506c3#nodealpine to understand why libc6-compat might be needed.
RUN apk add --no-cache libc6-compat && npm install -g pnpm
WORKDIR /app
# Install dependencies based on the preferred package manager
COPY package.json ./
COPY pnpm-lock.yaml* ./
RUN \
[ -f pnpm-lock.yaml ] && pnpm fetch || \
(echo "Lockfile not found." && exit 1)
# Rebuild the source code only when needed
FROM node:current-alpine AS builder
WORKDIR /app
COPY --from=deps /app/node_modules ./node_modules
COPY pnpm-lock.yaml* ./
COPY package.json ./
COPY . .
# Next.js collects completely anonymous telemetry data about general usage.
# Learn more here: https://nextjs.org/telemetry
# Uncomment the following line in case you want to disable telemetry during the build.
ENV NEXT_TELEMETRY_DISABLED 1
RUN npm install -g pnpm
RUN \
[ -f pnpm-lock.yaml ] && (pnpm --offline install && pnpm run build) || \
(echo "Lockfile not found." && exit 1)
# Production image, copy all the files and run next
FROM node:current-alpine AS runner
WORKDIR /app
ENV NODE_ENV production
# Uncomment the following line in case you want to disable telemetry during runtime.
ENV NEXT_TELEMETRY_DISABLED 1
RUN addgroup --system --gid 1001 nodejs
RUN adduser --system --uid 1001 nextjs
RUN sed -i 's/https/http/' /etc/apk/repositories
RUN apk add curl \
&& apk add ca-certificates \
&& update-ca-certificates
# You only need to copy next.config.js if you are NOT using the default configuration
# COPY --from=builder /app/next.config.js ./
COPY --from=builder /app/public ./public
COPY --from=builder /app/package.json ./package.json
# COPY --from=builder /app/.env* .
# Automatically leverage output traces to reduce image size
# https://nextjs.org/docs/advanced-features/output-file-tracing
COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./
COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static
USER nextjs
ENV PORT=3000
EXPOSE 3000
CMD ["node", "server.js"]

66
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View File

@@ -0,0 +1,66 @@
{
"FeConfig": {
"show_emptyChat": true,
"show_register": false,
"show_appStore": false,
"show_userDetail": false,
"show_contact": true,
"show_git": true,
"show_doc": true,
"systemTitle": "FastGPT",
"authorText": "Made by FastGPT Team.",
"limit": {
"exportLimitMinutes": 0
},
"scripts": []
},
"SystemParams": {
"vectorMaxProcess": 15,
"qaMaxProcess": 15,
"pgIvfflatProbe": 20
},
"ChatModels": [
{
"model": "gpt-3.5-turbo",
"name": "GPT35-4k",
"contextMaxToken": 4000,
"quoteMaxToken": 2000,
"maxTemperature": 1.2,
"price": 0,
"defaultSystem": ""
},
{
"model": "gpt-3.5-turbo-16k",
"name": "GPT35-16k",
"contextMaxToken": 16000,
"quoteMaxToken": 8000,
"maxTemperature": 1.2,
"price": 0,
"defaultSystem": ""
},
{
"model": "gpt-4",
"name": "GPT4-8k",
"contextMaxToken": 8000,
"quoteMaxToken": 4000,
"maxTemperature": 1.2,
"price": 0,
"defaultSystem": ""
}
],
"VectorModels": [
{
"model": "text-embedding-ada-002",
"name": "Embedding-2",
"price": 0,
"defaultToken": 500,
"maxToken": 3000
}
],
"QAModel": {
"model": "gpt-3.5-turbo-16k",
"name": "GPT35-16k",
"maxToken": 16000,
"price": 0
}
}

5
client/next-env.d.ts vendored Normal file
View File

@@ -0,0 +1,5 @@
/// <reference types="next" />
/// <reference types="next/image-types/global" />
// NOTE: This file should not be edited
// see https://nextjs.org/docs/basic-features/typescript for more information.

View File

@@ -1,12 +1,12 @@
/** @type {import('next').NextConfig} */
const { i18n } = require('./next-i18next.config');
const path = require('path');
const nextConfig = {
i18n,
output: 'standalone',
reactStrictMode: process.env.NODE_ENV === 'development' ? false : true,
reactStrictMode: false,
compress: true,
webpack(config, { isServer }) {
if (!isServer) {
config.resolve = {
@@ -17,16 +17,10 @@ const nextConfig = {
}
};
}
Object.assign(config.resolve.alias, {
'@mongodb-js/zstd': false,
'@aws-sdk/credential-providers': false,
snappy: false,
aws4: false,
'mongodb-client-encryption': false,
kerberos: false,
'supports-color': false,
'bson-ext': false
});
config.experiments = {
asyncWebAssembly: true,
layers: true
};
config.module = {
...config.module,
rules: config.module.rules.concat([
@@ -36,16 +30,10 @@ const nextConfig = {
use: ['@svgr/webpack']
}
]),
exprContextCritical: false,
unknownContextCritical: false
exprContextCritical: false
};
return config;
},
transpilePackages: ['@fastgpt/*'],
experimental: {
serverComponentsExternalPackages: ['mongoose'],
outputFileTracingRoot: path.join(__dirname, '../../')
}
};

View File

@@ -1,6 +1,6 @@
{
"name": "app",
"version": "4.5.1",
"name": "fastgpt",
"version": "4.2.1",
"private": false,
"scripts": {
"dev": "next dev",
@@ -9,51 +9,50 @@
"lint": "next lint"
},
"dependencies": {
"@chakra-ui/anatomy": "^2.2.1",
"@chakra-ui/icons": "^2.0.17",
"@chakra-ui/react": "^2.7.0",
"@chakra-ui/styled-system": "^2.9.1",
"@chakra-ui/system": "^2.5.8",
"@dqbd/tiktoken": "^1.0.7",
"@emotion/react": "^11.10.6",
"@emotion/styled": "^11.10.6",
"@fastgpt/global": "workspace:*",
"@fastgpt/service": "workspace:*",
"@fastgpt/web": "workspace:*",
"@mozilla/readability": "^0.4.4",
"@next/font": "13.1.6",
"@tanstack/react-query": "^4.24.10",
"@types/nprogress": "^0.2.0",
"axios": "^1.5.1",
"axios": "^1.3.3",
"cookie": "^0.5.0",
"crypto": "^1.0.1",
"date-fns": "^2.30.0",
"dayjs": "^1.11.7",
"downloadjs": "^1.4.7",
"echarts": "^5.4.1",
"echarts-gl": "^2.0.9",
"formidable": "^2.1.1",
"framer-motion": "^9.0.6",
"hyperdown": "^2.4.29",
"i18next": "^23.2.11",
"i18next": "^22.5.1",
"immer": "^9.0.19",
"js-cookie": "^3.0.5",
"js-tiktoken": "^1.0.7",
"jschardet": "^3.0.0",
"jsdom": "^22.1.0",
"jsonwebtoken": "^9.0.2",
"jsonwebtoken": "^9.0.0",
"lodash": "^4.17.21",
"mammoth": "^1.5.1",
"mermaid": "^10.2.3",
"mongoose": "^6.10.0",
"multer": "1.4.5-lts.1",
"nanoid": "^4.0.1",
"next": "13.5.2",
"next-i18next": "^14.0.0",
"next": "13.1.6",
"next-i18next": "^13.3.0",
"nextjs-cors": "^2.1.2",
"nprogress": "^0.2.0",
"openai": "^3.3.0",
"papaparse": "^5.4.1",
"pg": "^8.10.0",
"pg-query-stream": "^4.5.3",
"react": "18.2.0",
"react-day-picker": "^8.7.1",
"react-dom": "18.2.0",
"react-hook-form": "^7.43.1",
"react-i18next": "^13.0.2",
"react-i18next": "^12.3.1",
"react-markdown": "^8.0.7",
"react-syntax-highlighter": "^15.5.0",
"reactflow": "^11.7.4",
@@ -63,30 +62,34 @@
"remark-math": "^5.1.1",
"request-ip": "^3.3.0",
"sass": "^1.58.3",
"timezones-list": "^3.0.2",
"tunnel": "^0.0.6",
"winston": "^3.10.0",
"winston-mongodb": "^5.1.1",
"zustand": "^4.3.5"
},
"devDependencies": {
"@svgr/webpack": "^6.5.1",
"@types/downloadjs": "^1.4.3",
"@types/cookie": "^0.5.1",
"@types/formidable": "^2.0.5",
"@types/js-cookie": "^3.0.3",
"@types/jsdom": "^21.1.1",
"@types/jsonwebtoken": "^9.0.3",
"@types/jsonwebtoken": "^9.0.1",
"@types/lodash": "^4.14.191",
"@types/multer": "^1.4.7",
"@types/node": "^20.8.5",
"@types/node": "18.14.0",
"@types/papaparse": "^5.3.7",
"@types/pg": "^8.6.6",
"@types/react": "18.0.28",
"@types/react-dom": "18.0.11",
"@types/react-syntax-highlighter": "^15.5.6",
"@types/request-ip": "^0.0.37",
"@types/tunnel": "^0.0.3",
"eslint": "8.34.0",
"eslint-config-next": "13.1.6",
"typescript": "4.9.5"
},
"engines": {
"node": ">=18.0.0",
"pnpm": ">=8.6.0"
"node": ">=18.0.0"
}
}

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@@ -0,0 +1,22 @@
### 常见问题
- [**Git 地址**,点击查看项目地址](https://github.com/labring/FastGPT)
- [本地部署 FastGPT](https://doc.fastgpt.run/docs/installation)
- [API 文档](https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh?pre_pathname=%2Fdrive%2Fhome%2F)
- **反馈问卷**: 如果你遇到任何使用问题或有期望的功能,可以[填写该问卷](https://www.wjx.cn/vm/rLIw1uD.aspx#)
- **问题文档**: [先看文档,再提问](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
- [点击查看商业版文档](https://fael3z0zfze.feishu.cn/docx/F155dbirfo8vDDx2WgWc6extnwf)
**价格表**
| 计费项 | 价格: 元/ 1K tokens包含上下文|
| --- | --- |
| 知识库 - 索引 | 0.002 |
| FastAI4k - 对话 | 0.015 |
| FastAI16k - 对话 | 0.03 |
| FastAI-Plus - 对话 | 0.45 |
| 文件 QA 拆分 | 0.03 |
**其他问题**
| 交流群 | 小助手 |
| ----------------------- | -------------------- |
| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |

View File

@@ -0,0 +1,7 @@
### Fast GPT V4.4.1
1. 新增 - 知识库目录结构
2. 新增 - 分享链接支持配置 IP 限流、过期时间、最大额度等
3. 优化 - [使用文档](https://doc.fastgpt.run/docs/intro/)
4. [点击查看高级编排介绍文档](https://doc.fastgpt.run/docs/workflow)
5. [点击查看商业版](https://fael3z0zfze.feishu.cn/docx/F155dbirfo8vDDx2WgWc6extnwf)

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@@ -4,8 +4,7 @@ async function embedChatbot() {
const script = document.getElementById('fastgpt-iframe');
const botSrc = script?.getAttribute('data-src');
const primaryColor = script?.getAttribute('data-color') || '#4e83fd';
const defaultOpen = script?.getAttribute('data-default-open') === 'true';
if (!botSrc) {
console.error(`Can't find appid`);
return;
@@ -31,10 +30,10 @@ async function embedChatbot() {
iframe.title = 'FastGPT Chat Window';
iframe.id = chatWindowId;
iframe.src = botSrc;
iframe.style.cssText =
'border: none; position: fixed; flex-direction: column; justify-content: space-between; box-shadow: rgba(150, 150, 150, 0.2) 0px 10px 30px 0px, rgba(150, 150, 150, 0.2) 0px 0px 0px 1px; bottom: 4rem; right: 1rem; width: 24rem; height: 40rem; max-width: 90vw; max-height: 85vh; border-radius: 0.75rem; display: flex; z-index: 2147483647; overflow: hidden; left: unset; background-color: #F3F4F6;';
iframe.style.visibility = defaultOpen ? 'unset' : 'hidden';
'visibility: hidden; border: none; position: fixed; flex-direction: column; justify-content: space-between; box-shadow: rgba(150, 150, 150, 0.2) 0px 10px 30px 0px, rgba(150, 150, 150, 0.2) 0px 0px 0px 1px; bottom: 4rem; right: 1rem; width: 24rem; height: 40rem; max-width: 90vw; max-height: 85vh; border-radius: 0.75rem; display: flex; z-index: 2147483647; overflow: hidden; left: unset; background-color: #F3F4F6;';
document.body.appendChild(iframe);
let chatBtnDragged = false;

View File

@@ -14,12 +14,8 @@
"UnKnow": "UnKnow",
"Warning": "Warning",
"app": {
"AI Advanced Settings": "Advanced Settings",
"AI Settings": "AI Settings",
"Advance App TestTip": "The current application is advanced editing mode \n. If you need to switch to [simple mode], please click the save button on the left",
"App Detail": "App Detail",
"Basic Settings": "Basic Settings",
"Chat Debug": "Chat Debug",
"Chat Logs Tips": "Logs record the app's online, shared, and API(chatId is existing) conversations",
"Chat logs": "Chat Logs",
"Confirm Del App Tip": "Confirm to delete the app and all its chats",
@@ -41,16 +37,9 @@
"Logs Title": "Title",
"Mark Count": "Mark Count",
"My Apps": "My Apps",
"Open AI Advanced Settings": "Advanced Settings",
"Output Field Settings": "Output Field Settings",
"Paste Config": "Paste Config",
"Variable Key Repeat Tip": "Variable Key Repeat",
"module": {
"Custom Title Tip": "The title name is displayed during the conversation"
},
"modules": {
"Title is required": "Title is required"
}
"Variable Key Repeat Tip": "Variable Key Repeat"
},
"chat": {
"Admin Mark Content": "Corrected response",
@@ -71,7 +60,6 @@
"Mark Description": "The annotation feature is currently in beta. \n\n After clicking Add annotation, you need to select a knowledge base in order to store annotation data. You can use this feature to quickly annotate questions and expected answers to guide the model to the next answer. At present, the annotation function, like other data in the knowledge base, is affected by the model, which does not mean that the annotation meets 100% expectations. The \n\n annotation data is only unidirectional synchronization with the knowledge base. If the knowledge base modifies the annotation data, the annotation data displayed in the log cannot be synchronized",
"Mark Description Title": "Mark Description",
"New Chat": "New Chat",
"Question Guide Tips": "I guess what you're asking is",
"Read Mark Description": "Read mark description",
"Read User Feedback": "Read user feedback",
"Select Mark Kb": "Select Dataset",
@@ -83,169 +71,46 @@
"share": "Share",
"test": "Test Chat "
},
"response": {
"module cq": "Question classification list",
"module cq result": "Classification Result",
"module extract description": "Extract Description",
"module extract result": "Extract Result",
"module historyPreview": "Messages",
"module http body": "Body",
"module http result": "Response",
"module http url": "Request Url",
"module limit": "Count Limit",
"module maxToken": "MaxTokens",
"module model": "Model",
"module name": "Name",
"module price": "Price",
"module question": "Question",
"module quoteList": "Quotes",
"module runningTime": "Time",
"module search response": "Search Result",
"module similarity": "Similarity",
"module temperature": "Temperature",
"module time": "Running Time",
"module tokens": "Tokens"
},
"retry": "Retry"
},
"common": {
"Add": "Add",
"Choose": "Choose",
"Close": "Clow",
"Cancel": "Cancel",
"Collect": "Collect",
"Confirm Move": "Move here",
"Copy": "Copy",
"Copy Successful": "Copy Successful",
"Course": "",
"Create Virtual File Failed": "Create Virtual File Failed",
"Custom Title": "Custom Title",
"Delete": "Delete",
"Delete Failed": "Delete Failed",
"Delete Success": "Delete Successful",
"Delete Warning": "Warning",
"Edit": "Edit",
"Expired Time": "Expired",
"File": "File",
"Filed is repeat": "Filed is repeated",
"Filed is repeated": "",
"Input": "Input",
"Last Step": "Last",
"Max credit": "Credit",
"Max credit tips": "What is the maximum amount of money that can be consumed by the link? If the link is exceeded, it will be banned. -1 indicates no limit.",
"Name": "Name",
"Name is empty": "Name is empty",
"Next Step": "Next",
"Output": "Output",
"Params": "Params",
"Password inconsistency": "Password inconsistency",
"Rename": "Rename",
"Rename Failed": "Rename Failed",
"Rename Success": "Rename Success",
"Request Error": "Request Error",
"Search": "Search",
"Select One Folder": "Select a folder",
"Status": "Status",
"Time": "Time",
"Unknow": "Unknow",
"Unknow Source": "UnKnow Source",
"Update Successful": "Update Successful",
"Update Time": "Update Time",
"error": {
"unKnow": "There was an accident"
},
"export": "",
"folder": {
"Drag Tip": "Click and move",
"Move Success": "Move Success",
"No Folder": "There's no subdirectory. Just put it here",
"Root Path": "Root Folder"
}
},
"core": {
"ai": {
"Model": "Model",
"Prompt": "Prompt"
},
"app": {
"Next Step Guide": "Next step guide"
},
"chat": {
"Restart": "Restart"
},
"dataset": {
"Choose Dataset": "Chookse Dataset",
"Dataset": "Dataset",
"Go Dataset": "To Dataset",
"Quote Length": "Quote Length",
"Read Dataset": "Read Dataset",
"Search Top K": "Top K",
"Set Empty Result Tip": ",Response empty text",
"Similarity": "Similarity",
"data": {
"Edit": "Edit Data",
"id": "Data ID"
}
}
"export": ""
},
"dataset": {
"Chunk Length": "Chunk Length",
"Confirm move the folder": "Confirm Move",
"Confirm to delete the data": "Confirm to delete the data?",
"Confirm to delete the file": "Are you sure to delete the file and all its data?",
"Create Folder": "Create Folder",
"Create Virtual File": "Virtual File",
"Delete Dataset Error": "Delete dataset failed",
"Edit Folder": "Edit Folder",
"Export": "Export",
"File Input": "Import File",
"File Size": "File Size",
"Filename": "Filename",
"Files": "{{total}} Files",
"Folder Name": "Input folder name",
"Insert Data": "Insert",
"Manual Data": "Manual Data",
"Manual Input": "Manual Input",
"Manual Mark": "Manual Mark",
"Mark Data": "Mark Data",
"Move Failed": "Move Failed",
"My Dataset": "My Dataset",
"Queue Desc": "This data refers to the current amount of training for the entire system. FastGPT uses queued training, and if you have too much data to train, you may need to wait for a while",
"Select Dataset": "Select Dataset",
"Select Folder": "Enter folder",
"System Data Queue": "Data Queue",
"Training Name": "Dataset Training",
"Upload Time": "Upload Time",
"Virtual File Tip": "Virtual files allow you to create a custom container to hold data",
"collections": {
"Click to view file": "View File Data",
"Click to view folder": "To Folder",
"Collection Embedding": "{{total}}Embedding",
"Confirm to delete the folder": "Are you sure to delete this folder and all its contents?",
"Create And Import": "Create/Import",
"Create Training Data": "Training-{{filename}}",
"Create Virtual File Success": "Create Virtual File Success",
"Data Amount": "Data Amount",
"Ready": "Ready",
"Select Collection": "Select Collection",
"Select One Collection To Store": "Select the collection to store"
},
"data": {
"Delete Tip": "Confirm to delete the data?",
"File import": "File Import",
"Input Data": "Import Data",
"Input Success Tip": "Succeeded in importing data",
"Update Data": "Update Data",
"Update Success Tip": "Update data successfully"
},
"deleteDatasetTips": "Are you sure to delete the knowledge base? Data cannot be recovered after deletion, please confirm!",
"deleteFolderTips": "Are you sure to delete this folder and all the knowledge bases it contains? Data cannot be recovered after deletion, please confirm!"
"System Data Queue": "Data Queue"
},
"file": {
"Click to download file template": "Download Template: {{name}}",
"Click to download CSV template": "Click to download CSV template",
"Click to view file": "Click to view file",
"Create File": "Create File",
"Create file": "Create file",
"Drag and drop": "Drag and drop files here",
"Embedding": "Embedding",
"Fetch Url": "Fetch Url",
"If the imported file is garbled, please convert CSV to UTF-8 encoding format": "If the imported file is garbled, please convert CSV to UTF-8 encoding format",
"Parse": "{{name}} Parsing...",
@@ -278,7 +143,6 @@
"Choice QA Desc": "The index is constructed with the structure of QA pairs, and ADAPTS to various scenarios such as Q&A and reading",
"Choice Visual": "Visual workflow",
"Choice Visual Desc": "Visualize modular operations, easily implement complex workflows, and make your AI no longer monolithic",
"Commercial": "Commercial",
"Community": "Community",
"Dateset": "",
"Dateset Desc": "",
@@ -304,6 +168,27 @@
"desc": "AI knowledge base question and answer platform based on LLM large model",
"slogan": "Let the AI know more about you"
},
"kb": {
"Chunk Length": "Chunk Length",
"Confirm move the folder": "Confirm Move",
"Confirm to delete the file": "Are you sure to delete the file and all its data?",
"Create Folder": "Create Folder",
"Delete Dataset Error": "Delete dataset failed",
"Edit Folder": "Edit Folder",
"File Size": "File Size",
"Filename": "Filename",
"Files": "{{total}} Files",
"Folder Name": "Input folder name",
"Move Failed": "Move Failed",
"My Dataset": "My Dataset",
"No Folder": "No Folder",
"Other Data": "Other Data",
"Select Dataset": "Select Dataset",
"Select Folder": "Enter folder",
"Upload Time": "Upload Time",
"deleteDatasetTips": "Are you sure to delete the knowledge base? Data cannot be recovered after deletion, please confirm!",
"deleteFolderTips": "Are you sure to delete this folder and all the knowledge bases it contains? Data cannot be recovered after deletion, please confirm!"
},
"navbar": {
"Account": "Account",
"Apps": "Apps",
@@ -312,39 +197,28 @@
"Store": "Store",
"Tools": "Tools"
},
"openapi": {
"app key tips": "These keys have the identification of the current application and can be used by external access.",
"key alias": "Alias of key, for display only",
"key tips": "You can use the API Key to access certain interfaces (you can't access the application, you need to use the API key within the application to access the application)."
},
"outlink": {
"Copy Iframe": "Copy Iframe",
"Copy Link": "Copy",
"Create API Key": "Create Key",
"Create Link": "Create Link",
"Create Ifrme Window": "Create Iframe Link",
"Create Share Window": "Create Share Window",
"Delete Link": "Delete",
"Edit API Key": "Edit Key",
"Edit Ifrme Link": "Edit Iframe Link",
"Edit Link": "Edit",
"Edit Share Window": "Edit Share Window",
"Link Name": "Link Name",
"Link is empty": "",
"Max credit": "Credit",
"Max credit tips": "What is the maximum amount of money that can be consumed by the link? If the link is exceeded, it will be banned. -1 indicates no limit.",
"QPM": "QPM",
"QPM Tips": "The maximum number of queries per IP address per minute",
"QPM is empty": "QPM is empty",
"Response Detail": "Quote",
"Response Detail tips": "Whether detailed data such as references to be returned",
"token auth": "Token Auth",
"token auth Tips": "Identity verification server address. If this value is set, the server will be specified to send a request for identity verification before each session",
"token auth use cases": "Review the authentication instructions"
"Response Detail": "Detail",
"Response Detail tips": "Whether detailed data such as references and full context need to be returned"
},
"system": {
"Help Document": "Document"
},
"template": {
"Quote Content Tip": "This configuration takes effect only when reference content is passed in (knowledge base search). You can customize the structure of the reference content to better fit different scenarios. You can use {{q}}, {{a}}, {{source}} as \"search content\", \"expected content\", and \"source\", they are all optional, and here are the default values: \n{instruction:\"{{q}}\",output:\"{{a}}\"}",
"Quote Prompt Tip": "This configuration takes effect only when reference content is passed in (knowledge base search). \n You can insert references with {{quote}}, here are the default values: \n\"\"\"{{quote}}\"\"\" The three quotes are the knowledge base I gave you, they have the highest priority. instruction is a relevant introduction and output is an expected answer or supplement."
},
"user": {
"Account": "Account",
"Amount of earnings": "Earnings",
@@ -380,9 +254,6 @@
"Update password failed": "Update password failed",
"Update password succseful": "Update password succseful",
"Usage Record": "Usage",
"apikey": {
"key": "API Keys"
},
"promotion": {
"pay": "",
"register": ""

View File

@@ -14,12 +14,8 @@
"UnKnow": "未知",
"Warning": "提示",
"app": {
"AI Advanced Settings": "AI 高级配置",
"AI Settings": "AI 配置",
"Advance App TestTip": "当前应用为高级编排模式\n如需切换为【简易模式】请点击左侧保存按键",
"App Detail": "应用详情",
"Basic Settings": "基本信息",
"Chat Debug": "调试预览",
"Chat Logs Tips": "日志会记录该应用的在线、分享和 API(需填写 chatId) 对话记录",
"Chat logs": "对话日志",
"Confirm Del App Tip": "确认删除该应用及其所有聊天记录?",
@@ -41,16 +37,9 @@
"Logs Title": "标题",
"Mark Count": "标注答案数量",
"My Apps": "我的应用",
"Open AI Advanced Settings": "高级配置",
"Output Field Settings": "输出字段编辑",
"Paste Config": "粘贴配置",
"Variable Key Repeat Tip": "变量 key 重复",
"module": {
"Custom Title Tip": "该标题名字会展示在对话过程中"
},
"modules": {
"Title is required": "模块名不能为空"
}
"Variable Key Repeat Tip": "变量 key 重复"
},
"chat": {
"Admin Mark Content": "纠正后的回复",
@@ -71,7 +60,6 @@
"Mark Description": "当前标注功能为测试版。\n\n点击添加标注后需要选择一个知识库以便存储标注数据。你可以通过该功能快速的标注问题和预期回答以便引导模型下次的回答。\n\n目前标注功能同知识库其他数据一样受模型的影响不代表标注后 100% 符合预期。\n\n标注数据仅单向与知识库同步如果知识库修改了该标注数据日志展示的标注数据无法同步",
"Mark Description Title": "标注功能介绍",
"New Chat": "新对话",
"Question Guide Tips": "猜你想问",
"Read Mark Description": "查看标注功能介绍",
"Read User Feedback": "查看用户反馈",
"Select Mark Kb": "选择知识库",
@@ -83,173 +71,50 @@
"share": "外部链接调用",
"test": "测试"
},
"response": {
"module cq": "问题分类列表",
"module cq result": "分类结果",
"module extract description": "提取要求描述",
"module extract result": "提取结果",
"module historyPreview": "完整记录",
"module http body": "请求体",
"module http result": "响应体",
"module http url": "请求地址",
"module limit": "单次搜索上限",
"module maxToken": "最大 Tokens",
"module model": "模型",
"module name": "模型名",
"module price": "计费",
"module question": "问题",
"module quoteList": "引用内容",
"module runningTime": "运行时长",
"module search response": "搜索结果",
"module similarity": "相似度",
"module temperature": "温度",
"module time": "运行时长",
"module tokens": "Tokens"
},
"retry": "重新生成"
},
"common": {
"Add": "添加",
"Choose": "选择",
"Close": "关闭",
"Cancel": "取消",
"Collect": "收藏",
"Confirm Move": "移动到这",
"Copy": "复制",
"Copy Successful": "复制成功",
"Course": "",
"Create Virtual File Failed": "创建虚拟文件失败",
"Custom Title": "自定义标题",
"Delete": "删除",
"Delete Failed": "删除失败",
"Delete Success": "删除成功",
"Delete Warning": "删除警告",
"Edit": "编辑",
"Expired Time": "过期时间",
"File": "文件",
"Filed is repeat": "",
"Filed is repeated": "字段重复了",
"Input": "输入",
"Last Step": "上一步",
"Max credit": "最大金额",
"Max credit tips": "该链接最大可消耗多少金额,超出后链接将被禁止使用。-1 代表无限制。",
"Name": "名称",
"Name is empty": "名称不能为空",
"Next Step": "下一步",
"Output": "输出",
"Params": "参数",
"Password inconsistency": "两次密码不一致",
"Rename": "重命名",
"Rename Failed": "重命名失败",
"Rename Success": "重命名成功",
"Request Error": "请求异常",
"Search": "搜索",
"Select One Folder": "选择一个目录",
"Status": "状态",
"Time": "时间",
"Unknow": "未知",
"Unknow Source": "未知来源",
"Update Successful": "更新成功",
"Update Time": "更新时间",
"error": {
"unKnow": "出现了点意外~"
},
"export": "",
"folder": {
"Drag Tip": "点我可拖动",
"Move Success": "移动成功",
"No Folder": "没有子目录了,就放这里吧",
"Root Path": "根目录"
}
},
"core": {
"ai": {
"Model": "AI 模型",
"Prompt": "提示词"
},
"app": {
"Next Step Guide": "下一步指引"
},
"chat": {
"Restart": "重开对话"
},
"dataset": {
"Choose Dataset": "关联知识库",
"Dataset": "知识库",
"Go Dataset": "前往知识库",
"Quote Length": "引用内容长度",
"Read Dataset": "查看知识库详情",
"Search Top K": "单次搜索数量",
"Set Empty Result Tip": ",未搜索到内容时回复指定内容",
"Similarity": "相似度",
"data": {
"Edit": "编辑数据",
"id": "数据ID"
}
}
"export": ""
},
"dataset": {
"Chunk Length": "数据总量",
"Confirm move the folder": "确认移动到该目录",
"Confirm to delete the data": "确认删除该数据?",
"Confirm to delete the file": "确认删除该文件及其所有数据?",
"Create Folder": "创建文件夹",
"Create Virtual File": "创建虚拟文件",
"Delete Dataset Error": "删除知识库异常",
"Edit Folder": "编辑文件夹",
"Export": "导出",
"File Input": "文件导入",
"File Size": "文件大小",
"Filename": "文件名",
"Files": "文件: {{total}}个",
"Folder Name": "输入文件夹名称",
"Insert Data": "插入",
"Manual Data": "手动录入",
"Manual Input": "手动录入",
"Manual Mark": "手动标注",
"Mark Data": "标注数据",
"Move Failed": "移动出现错误~",
"My Dataset": "我的知识库",
"Queue Desc": "该数据是指整个系统当前待训练的数量。{{title}} 采用排队训练的方式,如果待训练的数据过多,可能需要等待一段时间",
"Select Dataset": "选择该知识库",
"Select Folder": "进入文件夹",
"System Data Queue": "排队长度",
"Training Name": "数据训练",
"Upload Time": "上传时间",
"Virtual File Tip": "虚拟文件允许创建一个自定义的容器装入数据",
"collections": {
"Click to view file": "点击查看文件详情",
"Click to view folder": "进入目录",
"Collection Embedding": "{{total}}组索引中",
"Confirm to delete the folder": "确认删除该文件夹及里面所有内容?",
"Create And Import": "新建/导入",
"Create Training Data": "文件训练-{{filename}}",
"Create Virtual File Success": "创建虚拟文件成功",
"Data Amount": "数据总量",
"Ready": "已就绪",
"Select Collection": "选择文件",
"Select One Collection To Store": "选择一个文件进行存储"
},
"data": {
"Delete Tip": "确认删除该条数据?",
"File import": "文件导入",
"Input Data": "导入数据",
"Input Success Tip": "导入数据成功",
"Update Data": "更新数据",
"Update Success Tip": "更新数据成功"
},
"deleteDatasetTips": "确认删除该知识库?删除后数据无法恢复,请确认!",
"deleteFolderTips": "确认删除该文件夹及其包含的所有知识库?删除后数据无法恢复,请确认!"
"System Data Queue": "排队长度"
},
"file": {
"Click to download file template": "点击下载模板{{name}}",
"Click to download CSV template": "点击下载 CSV 模板",
"Click to view file": "点击查看原始文件",
"Create File": "创建新文件",
"Create file": "创建文件",
"Drag and drop": "拖拽文件至此",
"Embedding": "索引中",
"Fetch Url": "链接读取",
"If the imported file is garbled, please convert CSV to UTF-8 encoding format": "如果导入文件乱码,请将 CSV 转成 UTF-8 编码格式",
"Parse": "{{name}} 解析中...",
"Ready": "",
"Ready": "可用",
"Release the mouse to upload the file": "松开鼠标上传文件",
"Select a maximum of 10 files": "最多选择10个文件",
"Uploading": "正在上传 {{name}},进度: {{percent}}%",
@@ -278,7 +143,6 @@
"Choice QA Desc": "采用 QA 对的结构构建索引,适应问答、阅读等多种场景",
"Choice Visual": "可视化工作流",
"Choice Visual Desc": "可视化模块操作,轻松实现复杂工作流,让你的 AI 不再单一",
"Commercial": "商务咨询",
"Community": "社区",
"Dateset": "自动数据预处理",
"Dateset Desc": "提供手动输入、直接分段、LLM 自动处理和 CSV 等多种数据导入途径",
@@ -304,6 +168,27 @@
"desc": "基于 LLM 大模型的 AI 知识库问答平台",
"slogan": "让 AI 更懂你的知识"
},
"kb": {
"Chunk Length": "数据总量",
"Confirm move the folder": "确认移动到该目录",
"Confirm to delete the file": "确认删除该文件及其所有数据?",
"Create Folder": "创建文件夹",
"Delete Dataset Error": "删除知识库异常",
"Edit Folder": "编辑文件夹",
"File Size": "文件大小",
"Filename": "文件名",
"Files": "文件: {{total}}个",
"Folder Name": "输入文件夹名称",
"Move Failed": "移动出现错误~",
"My Dataset": "我的知识库",
"No Folder": "没有子目录了~",
"Other Data": "其他数据",
"Select Dataset": "选择该知识库",
"Select Folder": "进入文件夹",
"Upload Time": "上传时间",
"deleteDatasetTips": "确认删除该知识库?删除后数据无法恢复,请确认!",
"deleteFolderTips": "确认删除该文件夹及其包含的所有知识库?删除后数据无法恢复,请确认!"
},
"navbar": {
"Account": "账号",
"Apps": "应用",
@@ -312,39 +197,28 @@
"Store": "应用市场",
"Tools": "工具"
},
"openapi": {
"app key tips": "这些 key 已有当前应用标识,具体使用可参考文档",
"key alias": "key 的别名,仅用于展示",
"key tips": "你可以使用 API 秘钥访问一些特定的接口(无法访问应用访问应用需使用应用内的API Key)"
},
"outlink": {
"Copy Iframe": "嵌入网页",
"Copy Iframe": "复制嵌入",
"Copy Link": "复制",
"Create API Key": "创建新 Key",
"Create Link": "创建链接",
"Create Ifrme Window": "创建嵌入链接",
"Create Share Window": "创建免登录窗口",
"Delete Link": "删除链接",
"Edit API Key": "编辑 Key 信息",
"Edit Ifrme Link": "更新嵌入链接",
"Edit Link": "编辑",
"Edit Share Window": "更新分享窗口",
"Link Name": "分享链接的名字",
"Link is empty": "",
"Max credit": "最大金额",
"Max credit tips": "该链接最大可消耗多少金额,超出后链接将被禁止使用。-1 代表无限制。",
"QPM": "",
"QPM Tips": "每个 IP 每分钟最多提问多少次",
"QPM is empty": "QPM 不能为空",
"Response Detail": "返回详情",
"Response Detail tips": "是否需要返回详情(引用内容,调用时间等,不会返回预设提示词和完整上下文)",
"token auth": "身份验证",
"token auth Tips": "身份校验服务器地址,如填写该值,每次对话前都会想指定服务器发送一个请求,进行身份校验",
"token auth use cases": "查看身份验证使用说明"
"Response Detail tips": "是否需要返回引用、完整上下文等详细数据"
},
"system": {
"Help Document": "帮助文档"
},
"template": {
"Quote Content Tip": "该配置只有传入引用内容(知识库搜索)时生效。\n可以自定义引用内容的结构以更好的适配不同场景。可以使用一些变量来进行模板配置:\n{{q}} - 检索内容, {{a}} - 预期内容, {{source}} - 来源,{{file_id}} - 来源文件名,{{index}} - 第n个引用他们都是可选的下面是默认值\n{{default}}",
"Quote Prompt Tip": "该配置只有传入引用内容(知识库搜索)时生效。\n可以用 {{quote}} 来插入引用内容,使用 {{question}} 来插入问题。下面是默认值:\n{{default}}"
},
"user": {
"Account": "账号",
"Amount of earnings": "收益(¥)",
@@ -380,9 +254,6 @@
"Update password failed": "修改密码异常",
"Update password succseful": "修改密码成功",
"Usage Record": "使用记录",
"apikey": {
"key": "API 秘钥"
},
"promotion": {
"pay": "好友充值",
"register": "好友注册"

View File

@@ -1,10 +1,10 @@
import { GET, POST, DELETE, PUT } from '@/web/common/api/request';
import { GET, POST, DELETE, PUT } from './request';
import type { AppSchema } from '@/types/mongoSchema';
import type { AppListItemType, AppUpdateParams } from '@/types/app';
import { RequestPaging } from '@/types/index';
import { RequestPaging } from '../types/index';
import type { Props as CreateAppProps } from '@/pages/api/app/create';
import { addDays } from 'date-fns';
import type { GetAppChatLogsParams } from '@/global/core/api/appReq.d';
import type { CreateAppParams } from '@/types/app';
import { GetAppChatLogsParams } from './request/app';
/**
*
@@ -14,7 +14,7 @@ export const getMyModels = () => GET<AppListItemType[]>('/app/myApps');
/**
*
*/
export const postCreateApp = (data: CreateAppParams) => POST<string>('/app/create', data);
export const postCreateApp = (data: CreateAppProps) => POST<string>('/app/create', data);
/**
* ID
@@ -53,5 +53,4 @@ export const getAppTotalUsage = (data: { appId: string }) =>
end: addDays(new Date(), 1)
}).then((res) => (res.length === 0 ? [{ date: new Date(), total: 0 }] : res));
// =================== chat logs
export const getAppChatLogs = (data: GetAppChatLogsParams) => POST(`/app/getChatLogs`, data);

View File

@@ -1,9 +1,9 @@
import { GET, POST, DELETE, PUT } from '@/web/common/api/request';
import { GET, POST, DELETE, PUT } from './request';
import type { ChatHistoryItemType } from '@/types/chat';
import type { InitChatResponse } from '@/global/core/api/chatRes.d';
import type { RequestPaging } from '@/types';
import type { InitChatResponse } from './response/chat';
import { RequestPaging } from '../types/index';
import type { Props as UpdateHistoryProps } from '@/pages/api/chat/history/updateChatHistory';
import type { AdminUpdateFeedbackParams } from '@/global/core/api/chatReq.d';
import { AdminUpdateFeedbackParams } from './request/chat';
/**
*

8
client/src/api/core/dataset/file.d.ts vendored Normal file
View File

@@ -0,0 +1,8 @@
import { RequestPaging } from '../../../types/index';
export type GetFileListProps = RequestPaging & {
kbId: string;
searchText: string;
};
export type UpdateFileProps = { id: string; name?: string; datasetUsed?: boolean };

View File

@@ -0,0 +1,15 @@
import { GET, POST, PUT, DELETE } from '@/api/request';
import type { FileInfo, KbFileItemType } from '@/types/plugin';
import type { GetFileListProps, UpdateFileProps } from './file.d';
export const getDatasetFiles = (data: GetFileListProps) =>
POST<KbFileItemType[]>(`/core/dataset/file/list`, data);
export const delDatasetFileById = (params: { fileId: string; kbId: string }) =>
DELETE(`/core/dataset/file/delById`, params);
export const getFileInfoById = (fileId: string) =>
GET<FileInfo>(`/core/dataset/file/detail`, { fileId });
export const delDatasetEmptyFiles = (kbId: string) =>
DELETE(`/core/dataset/file/delEmptyFiles`, { kbId });
export const updateDatasetFile = (data: UpdateFileProps) => PUT(`/core/dataset/file/update`, data);

View File

@@ -1,18 +1,18 @@
import { sseResponseEventEnum, TaskResponseKeyEnum } from '@/constants/chat';
import { getErrText } from '@fastgpt/global/common/error/utils';
import { getErrText } from '@/utils/tools';
import { parseStreamChunk, SSEParseData } from '@/utils/sse';
import type { ChatHistoryItemResType } from '@/types/chat';
import { StartChatFnProps } from '@/components/ChatBox';
import { getToken } from '@/web/support/user/auth';
import { getToken } from '@/utils/user';
type StreamFetchProps = {
interface StreamFetchProps {
url?: string;
data: Record<string, any>;
onMessage: StartChatFnProps['generatingMessage'];
abortSignal: AbortController;
};
}
export const streamFetch = ({
url = '/api/v1/chat/completions',
url = '/api/openapi/v1/chat/completions',
data,
onMessage,
abortSignal

16
client/src/api/openapi.ts Normal file
View File

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

View File

@@ -0,0 +1,6 @@
import { GET, POST, PUT, DELETE } from '../request';
import type { FetchResultItem } from '@/types/plugin';
export const fetchUrls = (urlList: string[]) =>
POST<FetchResultItem[]>(`/plugins/urlFetch`, { urlList });

View File

@@ -0,0 +1,93 @@
import { GET, POST, PUT, DELETE } from '../request';
import type { DatasetItemType, KbItemType, KbListItemType, KbPathItemType } from '@/types/plugin';
import { TrainingModeEnum } from '@/constants/plugin';
import {
Props as PushDataProps,
Response as PushDateResponse
} from '@/pages/api/openapi/kb/pushData';
import {
Props as SearchTestProps,
Response as SearchTestResponse
} from '@/pages/api/openapi/kb/searchTest';
import { Props as UpdateDataProps } from '@/pages/api/openapi/kb/updateData';
import type { KbUpdateParams, CreateKbParams, GetKbDataListProps } from '../request/kb';
import { QuoteItemType } from '@/types/chat';
import { KbTypeEnum } from '@/constants/kb';
/* knowledge base */
export const getKbList = (data: { parentId?: string; type?: `${KbTypeEnum}` }) =>
GET<KbListItemType[]>(`/plugins/kb/list`, data);
export const getAllDataset = () => GET<KbListItemType[]>(`/plugins/kb/allDataset`);
export const getKbPaths = (parentId?: string) =>
GET<KbPathItemType[]>('/plugins/kb/paths', { parentId });
export const getKbById = (id: string) => GET<KbItemType>(`/plugins/kb/detail?id=${id}`);
export const postCreateKb = (data: CreateKbParams) => POST<string>(`/plugins/kb/create`, data);
export const putKbById = (data: KbUpdateParams) => PUT(`/plugins/kb/update`, data);
export const delKbById = (id: string) => DELETE(`/plugins/kb/delete?id=${id}`);
/* kb data */
export const getKbDataList = (data: GetKbDataListProps) =>
POST(`/plugins/kb/data/getDataList`, data);
/**
* 获取导出数据(不分页)
*/
export const getExportDataList = (data: { kbId: string }) =>
GET<[string, string, string][]>(`/plugins/kb/data/exportModelData`, data, {
timeout: 600000
});
/**
* 获取模型正在拆分数据的数量
*/
export const getTrainingData = (data: { kbId: string; init: boolean }) =>
POST<{
qaListLen: number;
vectorListLen: number;
}>(`/plugins/kb/data/getTrainingData`, data);
/* get length of system training queue */
export const getTrainingQueueLen = () => GET<number>(`/plugins/kb/data/getQueueLen`);
export const getKbDataItemById = (dataId: string) =>
GET<QuoteItemType>(`/plugins/kb/data/getDataById`, { dataId });
/**
* 直接push数据
*/
export const postKbDataFromList = (data: PushDataProps) =>
POST<PushDateResponse>(`/openapi/kb/pushData`, data);
/**
* insert one data to dataset
*/
export const insertData2Kb = (data: { kbId: string; data: DatasetItemType }) =>
POST<string>(`/plugins/kb/data/insertData`, data);
/**
* 更新一条数据
*/
export const putKbDataById = (data: UpdateDataProps) => PUT('/openapi/kb/updateData', data);
/**
* 删除一条知识库数据
*/
export const delOneKbDataByDataId = (dataId: string) =>
DELETE(`/openapi/kb/delDataById?dataId=${dataId}`);
/**
* 拆分数据
*/
export const postSplitData = (data: {
kbId: string;
chunks: string[];
prompt: string;
mode: `${TrainingModeEnum}`;
}) => POST(`/openapi/text/pushData`, data);
export const searchText = (data: SearchTestProps) =>
POST<SearchTestResponse>(`/openapi/kb/searchTest`, data);

View File

@@ -4,15 +4,14 @@ import axios, {
AxiosResponse,
AxiosProgressEvent
} from 'axios';
import { clearToken, getToken } from '@/web/support/user/auth';
import { TOKEN_ERROR_CODE } from '@fastgpt/global/common/error/errorCode';
import { clearToken, getToken } from '@/utils/user';
import { TOKEN_ERROR_CODE } from '@/service/errorCode';
interface ConfigType {
headers?: { [key: string]: string };
hold?: boolean;
timeout?: number;
onUploadProgress?: (progressEvent: AxiosProgressEvent) => void;
cancelToken?: AbortController;
}
interface ResponseDataType {
code: number;
@@ -89,12 +88,7 @@ instance.interceptors.request.use(requestStart, (err) => Promise.reject(err));
/* 响应拦截 */
instance.interceptors.response.use(responseSuccess, (err) => Promise.reject(err));
function request(
url: string,
data: any,
{ cancelToken, ...config }: ConfigType,
method: Method
): any {
function request(url: string, data: any, config: ConfigType, method: Method): any {
/* 去空 */
for (const key in data) {
if (data[key] === null || data[key] === undefined) {
@@ -109,7 +103,6 @@ function request(
method,
data: ['POST', 'PUT'].includes(method) ? data : null,
params: !['POST', 'PUT'].includes(method) ? data : null,
signal: cancelToken?.signal,
...config // 用户自定义配置,可以覆盖前面的配置
})
.then((res) => checkRes(res.data))

6
client/src/api/request/chat.d.ts vendored Normal file
View File

@@ -0,0 +1,6 @@
export type AdminUpdateFeedbackParams = {
chatItemId: string;
kbId: string;
dataId: string;
content: string;
};

24
client/src/api/request/kb.d.ts vendored Normal file
View File

@@ -0,0 +1,24 @@
import { KbTypeEnum } from '@/constants/kb';
import type { RequestPaging } from '@/types';
export type KbUpdateParams = {
id: string;
parentId?: string;
tags?: string;
name?: string;
avatar?: string;
};
export type CreateKbParams = {
parentId?: string;
name: string;
tags: string[];
avatar: string;
vectorModel?: string;
type: `${KbTypeEnum}`;
};
export type GetKbDataListProps = RequestPaging & {
kbId: string;
searchText: string;
fileId: string;
};

View File

@@ -1,12 +1,13 @@
import type { AppSchema } from '@/types/mongoSchema';
import type { ChatItemType } from '@/types/chat';
import { AppModuleItemType, VariableItemType } from '@/types/app';
import { VariableItemType } from '@/types/app';
export type InitChatResponse = {
export interface InitChatResponse {
chatId: string;
appId: string;
app: {
userGuideModule?: AppModuleItemType;
variableModules?: VariableItemType[];
welcomeText?: string;
chatModels?: string[];
name: string;
avatar: string;
@@ -16,4 +17,9 @@ export type InitChatResponse = {
title: string;
variables: Record<string, any>;
history: ChatItemType[];
};
}
export interface InitShareChatResponse {
userAvatar: string;
app: InitChatResponse['app'];
}

View File

@@ -0,0 +1,8 @@
import { GET, POST } from './request';
export const textCensor = (data: { text: string }) =>
POST<{ code?: number; message: string }>('/plugins/censor/text_baidu', data).then((res) => {
if (res?.code === 5000) {
return Promise.reject(res.message);
}
});

View File

@@ -0,0 +1,18 @@
import { GET, POST } from '../request';
import { AxiosProgressEvent } from 'axios';
export const uploadImg = (base64Img: string) => POST<string>('/system/uploadImage', { base64Img });
export const postUploadFiles = (
data: FormData,
onUploadProgress: (progressEvent: AxiosProgressEvent) => void
) =>
POST<string[]>('/support/file/upload', data, {
onUploadProgress,
headers: {
'Content-Type': 'multipart/form-data; charset=utf-8'
}
});
export const getFileViewUrl = (fileId: string) => GET<string>('/support/file/readUrl', { fileId });

View File

@@ -1,11 +1,12 @@
import { GET, POST, DELETE } from '@/web/common/api/request';
import type { InitShareChatResponse } from '@/global/support/api/outLinkRes.d';
import type { OutLinkEditType, OutLinkSchema } from '@fastgpt/global/support/outLink/type.d';
import { GET, POST, DELETE } from '../request';
import type { InitShareChatResponse } from '../response/chat';
import type { OutLinkEditType } from '@/types/support/outLink';
import type { OutLinkSchema } from '@/types/support/outLink';
/**
*
*/
export const initShareChatInfo = (data: { shareId: string; authToken?: string }) =>
export const initShareChatInfo = (data: { shareId: string }) =>
GET<InitShareChatResponse>(`/support/outLink/init`, data);
/**

4
client/src/api/system.ts Normal file
View File

@@ -0,0 +1,4 @@
import { GET, POST, PUT } from './request';
import type { InitDateResponse } from '@/pages/api/system/getInitData';
export const getInitData = () => GET<InitDateResponse>('/system/getInitData');

View File

@@ -1,17 +1,17 @@
import { GET, POST, PUT } from '@/web/common/api/request';
import { hashStr } from '@fastgpt/global/common/string/tools';
import type { ResLogin, PromotionRecordType } from '@/global/support/api/userRes.d';
import { GET, POST, PUT } from './request';
import { createHashPassword } from '@/utils/tools';
import type { ResLogin, PromotionRecordType } from './response/user';
import { UserAuthTypeEnum } from '@/constants/common';
import { UserType, UserUpdateParams } from '@/types/user';
import { UserBillType, UserType, UserUpdateParams } from '@/types/user';
import type { PagingData, RequestPaging } from '@/types';
import { informSchema } from '@/types/mongoSchema';
import { informSchema, PaySchema } from '@/types/mongoSchema';
import { OAuthEnum } from '@/constants/user';
export const sendAuthCode = (data: {
username: string;
type: `${UserAuthTypeEnum}`;
googleToken: string;
}) => POST(`/plusApi/support/user/inform/sendAuthCode`, data);
}) => POST(`/plusApi/user/inform/sendAuthCode`, data);
export const getTokenLogin = () => GET<UserType>('/user/account/tokenLogin');
export const oauthLogin = (params: {
@@ -19,7 +19,7 @@ export const oauthLogin = (params: {
code: string;
callbackUrl: string;
inviterId?: string;
}) => POST<ResLogin>('/plusApi/support/user/account/login/oauth', params);
}) => POST<ResLogin>('/plusApi/user/account/login/oauth', params);
export const postRegister = ({
username,
@@ -32,11 +32,11 @@ export const postRegister = ({
password: string;
inviterId?: string;
}) =>
POST<ResLogin>(`/plusApi/support/user/account/register/emailAndPhone`, {
POST<ResLogin>(`/plusApi/user/account/register/emailAndPhone`, {
username,
code,
inviterId,
password: hashStr(password)
password: createHashPassword(password)
});
export const postFindPassword = ({
@@ -48,28 +48,47 @@ export const postFindPassword = ({
code: string;
password: string;
}) =>
POST<ResLogin>(`/plusApi/support/user/account/password/updateByCode`, {
POST<ResLogin>(`/plusApi/user/account/password/updateByCode`, {
username,
code,
password: hashStr(password)
password: createHashPassword(password)
});
export const updatePasswordByOld = ({ oldPsw, newPsw }: { oldPsw: string; newPsw: string }) =>
POST('/user/account/updatePasswordByOld', {
oldPsw: hashStr(oldPsw),
newPsw: hashStr(newPsw)
oldPsw: createHashPassword(oldPsw),
newPsw: createHashPassword(newPsw)
});
export const postLogin = ({ username, password }: { username: string; password: string }) =>
POST<ResLogin>('/user/account/loginByPassword', {
username,
password: hashStr(password)
password: createHashPassword(password)
});
export const loginOut = () => GET('/user/account/loginout');
export const putUserInfo = (data: UserUpdateParams) => PUT('/user/account/update', data);
export const getUserBills = (data: RequestPaging) =>
POST<PagingData<UserBillType>>(`/user/getBill`, data);
export const getPayOrders = () => GET<PaySchema[]>(`/user/getPayOrders`);
export const getPayCode = (amount: number) =>
GET<{
codeUrl: string;
payId: string;
}>(`/plusApi/user/pay/getPayCode`, { amount });
export const checkPayResult = (payId: string) =>
GET<number>(`/plusApi/user/pay/checkPayResult`, { payId }).then(() => {
try {
GET('/user/account/paySuccess');
} catch (error) {}
return 'success';
});
export const getInforms = (data: RequestPaging) =>
POST<PagingData<informSchema>>(`/user/inform/list`, data);

View File

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

View File

@@ -1,9 +1,9 @@
import React, { useRef } from 'react';
import { ModalBody, Textarea, ModalFooter, Button } from '@chakra-ui/react';
import MyModal from '../MyModal';
import { useRequest } from '@/web/common/hooks/useRequest';
import { useRequest } from '@/hooks/useRequest';
import { useTranslation } from 'next-i18next';
import { userUpdateChatFeedback } from '@/web/core/chat/api';
import { userUpdateChatFeedback } from '@/api/chat';
const FeedbackModal = ({
chatItemId,

View File

@@ -0,0 +1,151 @@
import React, { useCallback, useMemo, useState } from 'react';
import { ModalBody, Box, useTheme } from '@chakra-ui/react';
import { getKbDataItemById } from '@/api/plugins/kb';
import { useLoading } from '@/hooks/useLoading';
import { useToast } from '@/hooks/useToast';
import { getErrText } from '@/utils/tools';
import { QuoteItemType } from '@/types/chat';
import MyIcon from '@/components/Icon';
import InputDataModal, { RawFileText } from '@/pages/kb/detail/components/InputDataModal';
import MyModal from '../MyModal';
import { KbDataItemType } from '@/types/plugin';
import { useRouter } from 'next/router';
type SearchType = KbDataItemType & {
kb_id?: string;
};
const QuoteModal = ({
onUpdateQuote,
rawSearch = [],
onClose
}: {
onUpdateQuote: (quoteId: string, sourceText?: string) => Promise<void>;
rawSearch: SearchType[];
onClose: () => void;
}) => {
const theme = useTheme();
const router = useRouter();
const { toast } = useToast();
const { setIsLoading, Loading } = useLoading();
const [editDataItem, setEditDataItem] = useState<QuoteItemType>();
const isShare = useMemo(() => router.pathname === '/chat/share', [router.pathname]);
/**
* click edit, get new kbDataItem
*/
const onclickEdit = useCallback(
async (item: SearchType) => {
if (!item.id) return;
try {
setIsLoading(true);
const data = await getKbDataItemById(item.id);
if (!data) {
onUpdateQuote(item.id, '已删除');
throw new Error('该数据已被删除');
}
setEditDataItem(data);
} catch (err) {
toast({
status: 'warning',
title: getErrText(err)
});
}
setIsLoading(false);
},
[setIsLoading, toast, onUpdateQuote]
);
return (
<>
<MyModal
isOpen={true}
onClose={onClose}
h={['90vh', '80vh']}
isCentered
minW={['90vw', '600px']}
title={
<>
({rawSearch.length})
<Box fontSize={['xs', 'sm']} fontWeight={'normal'}>
注意: 修改知识库内容成功后
</Box>
</>
}
>
<ModalBody
pt={0}
whiteSpace={'pre-wrap'}
textAlign={'justify'}
wordBreak={'break-all'}
fontSize={'sm'}
>
{rawSearch.map((item, i) => (
<Box
key={i}
flex={'1 0 0'}
p={2}
borderRadius={'lg'}
border={theme.borders.base}
_notLast={{ mb: 2 }}
position={'relative'}
_hover={{ '& .edit': { display: 'flex' } }}
overflow={'hidden'}
>
{item.source && !isShare && (
<RawFileText filename={item.source} fileId={item.file_id} />
)}
<Box>{item.q}</Box>
<Box>{item.a}</Box>
{item.id && !isShare && (
<Box
className="edit"
display={'none'}
position={'absolute'}
right={0}
top={0}
bottom={0}
w={'40px'}
bg={'rgba(255,255,255,0.9)'}
alignItems={'center'}
justifyContent={'center'}
boxShadow={'-10px 0 10px rgba(255,255,255,1)'}
>
<MyIcon
name={'edit'}
w={'18px'}
h={'18px'}
cursor={'pointer'}
color={'myGray.600'}
_hover={{
color: 'myBlue.700'
}}
onClick={() => onclickEdit(item)}
/>
</Box>
)}
</Box>
))}
</ModalBody>
<Loading fixed={false} />
</MyModal>
{editDataItem && (
<InputDataModal
onClose={() => setEditDataItem(undefined)}
onSuccess={() => onUpdateQuote(editDataItem.id)}
onDelete={() => onUpdateQuote(editDataItem.id, '已删除')}
kbId={editDataItem.kb_id}
defaultValues={{
...editDataItem,
dataId: editDataItem.id
}}
/>
)}
</>
);
};
export default QuoteModal;

View File

@@ -1,9 +1,9 @@
import React from 'react';
import { ModalBody, ModalFooter, Button } from '@chakra-ui/react';
import MyModal from '../MyModal';
import { useRequest } from '@/web/common/hooks/useRequest';
import { useRequest } from '@/hooks/useRequest';
import { useTranslation } from 'next-i18next';
import { userUpdateChatFeedback } from '@/web/core/chat/api';
import { userUpdateChatFeedback } from '@/api/chat';
const ReadFeedbackModal = ({
chatItemId,
@@ -39,14 +39,14 @@ const ReadFeedbackModal = ({
<MyModal isOpen={true} onClose={onClose} title={t('chat.Feedback Modal')}>
<ModalBody>{content}</ModalBody>
<ModalFooter>
<Button mr={2} isLoading={isLoading} variant={'base'} onClick={mutate}>
{t('chat.Feedback Close')}
</Button>
{!isMarked && (
<Button mr={2} onClick={onMark}>
<Button variant={'base'} mr={2} onClick={onMark}>
{t('chat.Feedback Mark')}
</Button>
)}
<Button isLoading={isLoading} onClick={mutate}>
{t('chat.Feedback Close')}
</Button>
</ModalFooter>
</MyModal>
);

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