Compare commits
657 Commits
v4.4.1
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v4.8.11-al
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12
.dockerignore
Normal file
@@ -0,0 +1,12 @@
|
||||
Dockerfile
|
||||
.dockerignore
|
||||
node_modules
|
||||
npm-debug.log
|
||||
README.md
|
||||
.next
|
||||
.git
|
||||
|
||||
.yalc/
|
||||
yalc.lock
|
||||
testApi/
|
||||
*.local.*
|
||||
6
.github/ISSUE_TEMPLATE/bugs.md
vendored
@@ -11,7 +11,7 @@ assignees: ''
|
||||
[//]: # '方框内填 x 表示打钩'
|
||||
|
||||
- [ ] 我已确认目前没有类似 issue
|
||||
- [ ] 我已完整查看过项目 README,以及[项目文档](https://doc.fastgpt.run/docs/intro/)
|
||||
- [ ] 我已完整查看过项目 README,以及[项目文档](https://doc.tryfastgpt.ai/docs/intro/)
|
||||
- [ ] 我使用了自己的 key,并确认我的 key 是可正常使用的
|
||||
- [ ] 我理解并愿意跟进此 issue,协助测试和提供反馈
|
||||
- [x] 我理解并认可上述内容,并理解项目维护者精力有限,**不遵循规则的 issue 可能会被无视或直接关闭**
|
||||
@@ -19,9 +19,9 @@ assignees: ''
|
||||
**你的版本**
|
||||
|
||||
- [ ] 公有云版本
|
||||
- [ ] 私有部署版本
|
||||
- [ ] 私有部署版本, 具体版本号:
|
||||
|
||||
**问题描述**
|
||||
**问题描述, 日志截图**
|
||||
|
||||
**复现步骤**
|
||||
|
||||
|
||||
4
.github/ISSUE_TEMPLATE/config.yml
vendored
@@ -1,5 +1,5 @@
|
||||
blank_issues_enabled: false
|
||||
contact_links:
|
||||
- name: 微信交流群
|
||||
url: https://doc.fastgpt.run/wechat-fastgpt.webp
|
||||
- name: 飞书话题群
|
||||
url: https://oss.laf.run/otnvvf-imgs/feishu3.png
|
||||
about: FastGPT 全是问题群
|
||||
|
||||
BIN
.github/imgs/intro1.png
vendored
|
Before Width: | Height: | Size: 548 KiB After Width: | Height: | Size: 173 KiB |
BIN
.github/imgs/intro2.png
vendored
|
Before Width: | Height: | Size: 437 KiB After Width: | Height: | Size: 273 KiB |
BIN
.github/imgs/intro3.png
vendored
|
Before Width: | Height: | Size: 574 KiB After Width: | Height: | Size: 168 KiB |
BIN
.github/imgs/intro4.png
vendored
|
Before Width: | Height: | Size: 270 KiB After Width: | Height: | Size: 159 KiB |
15
.github/imgs/logo-left.svg
vendored
Normal file
|
After Width: | Height: | Size: 10 KiB |
34
.github/imgs/logo.svg
vendored
@@ -1,14 +1,20 @@
|
||||
<svg width="32" height="32" viewBox="0 0 1041 1348" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="M340.837 0.33933L681.068 0.338989V0.455643C684.032 0.378397 686.999 0.339702 689.967 0.339702C735.961 0.3397 781.504 9.62899 823.997 27.6772C866.49 45.7254 905.099 72.1791 937.622 105.528C970.144 138.877 995.942 178.467 1013.54 222.04C1031.14 265.612 1040.2 312.312 1040.2 359.474L340.836 359.474L340.836 1347.84C296.157 1347.84 251.914 1338.55 210.636 1320.49C169.357 1302.43 131.85 1275.95 100.257 1242.58C68.6636 1209.21 43.6023 1169.59 26.5041 1125.99C11.3834 1087.43 2.75216 1046.42 0.957956 1004.81H0.605869L0.605897 368.098H0.70363C0.105752 341.831 2.23741 315.443 7.14306 289.411C20.2709 219.745 52.6748 155.754 100.257 105.528C147.839 55.3017 208.462 21.0975 274.461 7.24017C296.426 2.62833 318.657 0.339101 340.837 0.33933Z" fill="url(#paint0_linear_1172_228)"/>
|
||||
<path d="M633.639 904.645H513.029V576.37H635.422V576.377C678.161 576.607 720.454 585.093 759.951 601.37C799.997 617.874 836.384 642.064 867.033 672.559C897.683 703.054 921.996 739.257 938.583 779.101C955.171 818.944 963.709 861.648 963.709 904.775H633.639V904.645Z" fill="url(#paint1_linear_1172_228)"/>
|
||||
<defs>
|
||||
<linearGradient id="paint0_linear_1172_228" x1="520.404" y1="0.338989" x2="520.404" y2="1347.84" gradientUnits="userSpaceOnUse">
|
||||
<stop stop-color="#326DFF"/>
|
||||
<stop offset="1" stop-color="#8EAEFF"/>
|
||||
</linearGradient>
|
||||
<linearGradient id="paint1_linear_1172_228" x1="738.369" y1="576.37" x2="738.369" y2="904.775" gradientUnits="userSpaceOnUse">
|
||||
<stop stop-color="#326DFF"/>
|
||||
<stop offset="1" stop-color="#8EAEFF"/>
|
||||
</linearGradient>
|
||||
</defs>
|
||||
</svg>
|
||||
<svg width="49" height="48" viewBox="0 0 49 48" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||||
<path
|
||||
d="M20.3692 7.00001L28.9536 7V7.00294C29.0284 7.00099 29.1033 7.00002 29.1782 7.00002C30.3387 7.00002 31.4878 7.2344 32.5599 7.68979C33.6321 8.14518 34.6062 8.81265 35.4268 9.6541C36.2474 10.4956 36.8983 11.4945 37.3424 12.5939C37.7865 13.6933 38.0151 14.8716 38.0151 16.0616L20.3691 16.0616L20.3691 41C19.2418 41 18.1255 40.7655 17.084 40.3097C16.0425 39.854 15.0961 39.1861 14.299 38.344C13.5018 37.502 12.8695 36.5024 12.4381 35.4022C12.0566 34.4292 11.8388 33.3945 11.7935 32.3446H11.7846L11.7846 16.2792H11.7871C11.772 15.6165 11.8258 14.9506 11.9496 14.2938C12.2808 12.536 13.0984 10.9214 14.299 9.6541C15.4995 8.38681 17.0291 7.52377 18.6944 7.17413C19.2486 7.05776 19.8095 7 20.3692 7.00001Z"
|
||||
fill="url(#paint0_linear_1008_3495)" />
|
||||
<path
|
||||
d="M27.7569 29.8173H24.7138V21.5343H27.8019V21.5345C28.8803 21.5403 29.9474 21.7544 30.944 22.1651C31.9544 22.5815 32.8725 23.1919 33.6458 23.9613C34.4191 24.7308 35.0326 25.6442 35.4511 26.6496C35.8696 27.6549 36.085 28.7324 36.085 29.8205H27.7569V29.8173Z"
|
||||
fill="url(#paint1_linear_1008_3495)" />
|
||||
<defs>
|
||||
<linearGradient id="paint0_linear_1008_3495" x1="24.8999" y1="7" x2="24.8999" y2="41"
|
||||
gradientUnits="userSpaceOnUse">
|
||||
<stop stop-color="#326DFF" />
|
||||
<stop offset="1" stop-color="#8EAEFF" />
|
||||
</linearGradient>
|
||||
<linearGradient id="paint1_linear_1008_3495" x1="30.3994" y1="21.5343" x2="30.3994" y2="29.8205"
|
||||
gradientUnits="userSpaceOnUse">
|
||||
<stop stop-color="#326DFF" />
|
||||
<stop offset="1" stop-color="#8EAEFF" />
|
||||
</linearGradient>
|
||||
</defs>
|
||||
</svg>
|
||||
|
Before Width: | Height: | Size: 1.6 KiB After Width: | Height: | Size: 1.7 KiB |
4
.github/sync_imgs.yml
vendored
Normal file
@@ -0,0 +1,4 @@
|
||||
yangchuansheng/fastgpt-imgs:
|
||||
- source: docSite/assets/imgs/
|
||||
dest: imgs/
|
||||
deleteOrphaned: true
|
||||
96
.github/workflows/build-sandbox-image.yml
vendored
Normal file
@@ -0,0 +1,96 @@
|
||||
name: Build fastgpt-sandbox images and copy image to docker hub
|
||||
on:
|
||||
workflow_dispatch:
|
||||
push:
|
||||
paths:
|
||||
- 'projects/sandbox/**'
|
||||
tags:
|
||||
- 'v*'
|
||||
jobs:
|
||||
build-fastgpt-sandbox-images:
|
||||
runs-on: ubuntu-20.04
|
||||
steps:
|
||||
# install env
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v3
|
||||
with:
|
||||
fetch-depth: 0
|
||||
- name: Install Dependencies
|
||||
run: |
|
||||
sudo apt update && sudo apt install -y nodejs npm
|
||||
- name: Set up QEMU (optional)
|
||||
uses: docker/setup-qemu-action@v2
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v2
|
||||
with:
|
||||
driver-opts: network=host
|
||||
- name: Cache Docker layers
|
||||
uses: actions/cache@v2
|
||||
with:
|
||||
path: /tmp/.buildx-cache
|
||||
key: ${{ runner.os }}-buildx-${{ github.sha }}
|
||||
restore-keys: |
|
||||
${{ runner.os }}-buildx-
|
||||
|
||||
# login docker
|
||||
- name: Login to GitHub Container Registry
|
||||
uses: docker/login-action@v2
|
||||
with:
|
||||
registry: ghcr.io
|
||||
username: ${{ github.repository_owner }}
|
||||
password: ${{ secrets.GH_PAT }}
|
||||
- name: Login to Ali Hub
|
||||
uses: docker/login-action@v2
|
||||
with:
|
||||
registry: registry.cn-hangzhou.aliyuncs.com
|
||||
username: ${{ secrets.ALI_HUB_USERNAME }}
|
||||
password: ${{ secrets.ALI_HUB_PASSWORD }}
|
||||
- name: Login to Docker Hub
|
||||
uses: docker/login-action@v2
|
||||
with:
|
||||
username: ${{ secrets.DOCKER_HUB_NAME }}
|
||||
password: ${{ secrets.DOCKER_HUB_PASSWORD }}
|
||||
|
||||
# Set tag
|
||||
- name: Set image name and tag
|
||||
run: |
|
||||
if [[ "${{ github.ref_name }}" == "main" ]]; then
|
||||
echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
|
||||
echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
|
||||
echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
|
||||
echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
|
||||
echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
|
||||
echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
|
||||
else
|
||||
echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox:${{ github.ref_name }}" >> $GITHUB_ENV
|
||||
echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
|
||||
echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sandbox:${{ github.ref_name }}" >> $GITHUB_ENV
|
||||
echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
|
||||
echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sandbox:${{ github.ref_name }}" >> $GITHUB_ENV
|
||||
echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt-sandbox:latest" >> $GITHUB_ENV
|
||||
fi
|
||||
|
||||
- name: Build and publish image for main branch or tag push event
|
||||
env:
|
||||
Git_Tag: ${{ env.Git_Tag }}
|
||||
Git_Latest: ${{ env.Git_Latest }}
|
||||
Ali_Tag: ${{ env.Ali_Tag }}
|
||||
Ali_Latest: ${{ env.Ali_Latest }}
|
||||
Docker_Hub_Tag: ${{ env.Docker_Hub_Tag }}
|
||||
Docker_Hub_Latest: ${{ env.Docker_Hub_Latest }}
|
||||
run: |
|
||||
docker buildx build \
|
||||
-f projects/sandbox/Dockerfile \
|
||||
--platform linux/amd64,linux/arm64 \
|
||||
--label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/fastgpt-sandbox" \
|
||||
--label "org.opencontainers.image.description=fastgpt-sandbox image" \
|
||||
--push \
|
||||
--cache-from=type=local,src=/tmp/.buildx-cache \
|
||||
--cache-to=type=local,dest=/tmp/.buildx-cache \
|
||||
-t ${Git_Tag} \
|
||||
-t ${Git_Latest} \
|
||||
-t ${Ali_Tag} \
|
||||
-t ${Ali_Latest} \
|
||||
-t ${Docker_Hub_Tag} \
|
||||
-t ${Docker_Hub_Latest} \
|
||||
.
|
||||
72
.github/workflows/deploy-docs.yml
vendored
@@ -1,72 +0,0 @@
|
||||
name: deploy-docs
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
push:
|
||||
paths:
|
||||
- 'docSite/**'
|
||||
branches:
|
||||
- 'main'
|
||||
tags:
|
||||
- 'v*.*.*'
|
||||
|
||||
# A workflow run is made up of one or more jobs that can run sequentially or in parallel
|
||||
jobs:
|
||||
# This workflow contains jobs "deploy-production"
|
||||
deploy-production:
|
||||
# The environment this job references
|
||||
environment:
|
||||
name: Production
|
||||
url: ${{ steps.vercel-action.outputs.preview-url }}
|
||||
|
||||
# The type of runner that the job will run on
|
||||
runs-on: ubuntu-22.04
|
||||
|
||||
# Job outputs
|
||||
outputs:
|
||||
docs: ${{ steps.filter.outputs.docs }}
|
||||
|
||||
# Steps represent a sequence of tasks that will be executed as part of the job
|
||||
steps:
|
||||
# Step 1 - Checks-out your repository under $GITHUB_WORKSPACE
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v3
|
||||
with:
|
||||
submodules: recursive # Fetch submodules
|
||||
fetch-depth: 0 # Fetch all history for .GitInfo and .Lastmod
|
||||
|
||||
# Step 2 Detect changes to Docs Content
|
||||
- name: Detect changes in doc content
|
||||
uses: dorny/paths-filter@v2
|
||||
id: filter
|
||||
with:
|
||||
filters: |
|
||||
docs:
|
||||
- 'docSite/content/docs/**'
|
||||
base: main
|
||||
|
||||
# Step 3 - Install Hugo (specific version)
|
||||
- name: Install Hugo
|
||||
uses: peaceiris/actions-hugo@v2
|
||||
with:
|
||||
hugo-version: '0.117.0'
|
||||
extended: true
|
||||
|
||||
# Step 4 - Builds the site using Hugo
|
||||
- name: Build
|
||||
run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify
|
||||
env:
|
||||
HUGO_BASEURL: ${{ vars.BASE_URL }}
|
||||
|
||||
# Step 5 - Push our generated site to Vercel
|
||||
- name: Deploy to Vercel
|
||||
uses: amondnet/vercel-action@v25
|
||||
id: vercel-action
|
||||
with:
|
||||
vercel-token: ${{ secrets.VERCEL_TOKEN }} # Required
|
||||
vercel-org-id: ${{ secrets.VERCEL_ORG_ID }} #Required
|
||||
vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }} #Required
|
||||
github-comment: false
|
||||
vercel-args: '--prod --local-config ../vercel.json' # Optional
|
||||
working-directory: docSite/public
|
||||
|
||||
92
.github/workflows/deploy-preview.yml
vendored
@@ -1,92 +0,0 @@
|
||||
name: deploy-docs-preview
|
||||
|
||||
on:
|
||||
pull_request_target:
|
||||
workflow_dispatch:
|
||||
|
||||
# A workflow run is made up of one or more jobs that can run sequentially or in parallel
|
||||
jobs:
|
||||
# This workflow contains jobs "deploy-production"
|
||||
deploy-preview:
|
||||
# The environment this job references
|
||||
environment:
|
||||
name: Preview
|
||||
url: ${{ steps.vercel-action.outputs.preview-url }}
|
||||
|
||||
# The type of runner that the job will run on
|
||||
runs-on: ubuntu-22.04
|
||||
|
||||
# Job outputs
|
||||
outputs:
|
||||
url: ${{ steps.vercel-action.outputs.preview-url }}
|
||||
|
||||
# Steps represent a sequence of tasks that will be executed as part of the job
|
||||
steps:
|
||||
# Step 1 - Checks-out your repository under $GITHUB_WORKSPACE
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v3
|
||||
with:
|
||||
ref: ${{ github.event.pull_request.head.ref }}
|
||||
repository: ${{ github.event.pull_request.head.repo.full_name }}
|
||||
submodules: recursive # Fetch submodules
|
||||
fetch-depth: 0 # Fetch all history for .GitInfo and .Lastmod
|
||||
|
||||
# Step 2 Detect changes to Docs Content
|
||||
- name: Detect changes in doc content
|
||||
uses: dorny/paths-filter@v2
|
||||
id: filter
|
||||
with:
|
||||
filters: |
|
||||
docs:
|
||||
- 'docSite/content/docs/**'
|
||||
base: main
|
||||
|
||||
# Step 3 - Install Hugo (specific version)
|
||||
- name: Install Hugo
|
||||
uses: peaceiris/actions-hugo@v2
|
||||
with:
|
||||
hugo-version: '0.117.0'
|
||||
extended: true
|
||||
|
||||
# Step 4 - Builds the site using Hugo
|
||||
- name: Build
|
||||
run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify
|
||||
env:
|
||||
HUGO_BASEURL: ${{ vars.BASE_URL }}
|
||||
|
||||
# Step 5 - Push our generated site to Vercel
|
||||
- name: Deploy to Vercel
|
||||
uses: amondnet/vercel-action@v25
|
||||
id: vercel-action
|
||||
with:
|
||||
vercel-token: ${{ secrets.VERCEL_TOKEN }} # Required
|
||||
vercel-org-id: ${{ secrets.VERCEL_ORG_ID }} #Required
|
||||
vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }} #Required
|
||||
github-comment: false
|
||||
vercel-args: '--local-config ../vercel.json' # Optional
|
||||
working-directory: docSite/public
|
||||
alias-domains: | #Optional
|
||||
fastgpt-staging.vercel.app
|
||||
docsOutput:
|
||||
needs: [ deploy-preview ]
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
with:
|
||||
ref: ${{ github.event.pull_request.head.ref }}
|
||||
repository: ${{ github.event.pull_request.head.repo.full_name }}
|
||||
- name: Write md
|
||||
run: |
|
||||
echo "# 🤖 Generated by deploy action" > report.md
|
||||
echo "[👀 Visit Preview](${{ needs.deploy-preview.outputs.url }})" >> report.md
|
||||
cat report.md
|
||||
- name: Gh Rebot for Sealos
|
||||
uses: labring/gh-rebot@v0.0.6
|
||||
if: ${{ (github.event_name == 'pull_request_target') }}
|
||||
with:
|
||||
version: v0.0.6
|
||||
env:
|
||||
GH_TOKEN: "${{ secrets.GH_PAT }}"
|
||||
SEALOS_TYPE: "pr_comment"
|
||||
SEALOS_FILENAME: "report.md"
|
||||
SEALOS_REPLACE_TAG: "DEFAULT_REPLACE_DEPLOY"
|
||||
91
.github/workflows/docs-deploy-kubeconfig.yml
vendored
Normal file
@@ -0,0 +1,91 @@
|
||||
name: Deploy image by kubeconfig
|
||||
on:
|
||||
workflow_dispatch:
|
||||
push:
|
||||
paths:
|
||||
- 'docSite/**'
|
||||
branches:
|
||||
- 'main'
|
||||
tags:
|
||||
- 'v*.*.*'
|
||||
|
||||
jobs:
|
||||
build-fastgpt-docs-images:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- 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"
|
||||
|
||||
- name: Docker meta
|
||||
id: meta
|
||||
uses: docker/metadata-action@v5
|
||||
with:
|
||||
# list of Docker images to use as base name for tags
|
||||
images: |
|
||||
${{ secrets.DOCKER_HUB_NAME }}/fastgpt-docs
|
||||
ghcr.io/${{ github.repository_owner }}/fastgpt-docs
|
||||
registry.cn-hangzhou.aliyuncs.com/${{ secrets.ALI_HUB_USERNAME }}/fastgpt-docs
|
||||
tags: |
|
||||
${{ steps.datetime.outputs.datetime }}
|
||||
flavor: latest=false
|
||||
|
||||
- name: Set up QEMU
|
||||
uses: docker/setup-qemu-action@v3
|
||||
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v3
|
||||
|
||||
- name: Login to DockerHub
|
||||
uses: docker/login-action@v3
|
||||
with:
|
||||
username: ${{ secrets.DOCKER_HUB_NAME }}
|
||||
password: ${{ secrets.DOCKER_HUB_PASSWORD }}
|
||||
|
||||
- name: Login to ghcr.io
|
||||
uses: docker/login-action@v3
|
||||
with:
|
||||
registry: ghcr.io
|
||||
username: ${{ github.repository_owner }}
|
||||
password: ${{ secrets.GH_PAT }}
|
||||
|
||||
- name: Login to Aliyun
|
||||
uses: docker/login-action@v3
|
||||
with:
|
||||
registry: registry.cn-hangzhou.aliyuncs.com
|
||||
username: ${{ secrets.ALI_HUB_USERNAME }}
|
||||
password: ${{ secrets.ALI_HUB_PASSWORD }}
|
||||
|
||||
- name: Build and push Docker images to ghcr.io and DockerHub
|
||||
uses: docker/build-push-action@v5
|
||||
with:
|
||||
context: .
|
||||
file: ./docSite/Dockerfile
|
||||
push: true
|
||||
tags: ${{ steps.meta.outputs.tags }}
|
||||
labels: ${{ steps.meta.outputs.labels }}
|
||||
outputs:
|
||||
tags: ${{ steps.datetime.outputs.datetime }}
|
||||
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: ${{ secrets.KUBE_CONFIG }}
|
||||
with:
|
||||
args: set image deployment/fastgpt-docs fastgpt-docs=registry.cn-hangzhou.aliyuncs.com/${{ secrets.ALI_HUB_USERNAME }}/fastgpt-docs:${{ needs.build-fastgpt-docs-images.outputs.tags }}
|
||||
- uses: actions-hub/kubectl@master
|
||||
env:
|
||||
KUBE_CONFIG: ${{ secrets.KUBE_CONFIG }}
|
||||
with:
|
||||
args: annotate deployment/fastgpt-docs originImageName="registry.cn-hangzhou.aliyuncs.com/${{ secrets.ALI_HUB_USERNAME }}/fastgpt-docs:${{ needs.build-fastgpt-docs-images.outputs.tags }}" --overwrite
|
||||
79
.github/workflows/docs-deploy-vercel.yml
vendored
Normal file
@@ -0,0 +1,79 @@
|
||||
name: Deploy image to vercel
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
push:
|
||||
paths:
|
||||
- 'docSite/**'
|
||||
branches:
|
||||
- 'main'
|
||||
tags:
|
||||
- 'v*.*.*'
|
||||
|
||||
# A workflow run is made up of one or more jobs that can run sequentially or in parallel
|
||||
jobs:
|
||||
# This workflow contains jobs "deploy-production"
|
||||
deploy-production:
|
||||
# The environment this job references
|
||||
environment:
|
||||
name: Production
|
||||
url: ${{ steps.vercel-action.outputs.preview-url }}
|
||||
|
||||
# The type of runner that the job will run on
|
||||
runs-on: ubuntu-22.04
|
||||
|
||||
# Job outputs
|
||||
outputs:
|
||||
docs: ${{ steps.filter.outputs.docs }}
|
||||
|
||||
# Steps represent a sequence of tasks that will be executed as part of the job
|
||||
steps:
|
||||
# Step 1 - Checks-out your repository under $GITHUB_WORKSPACE
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v3
|
||||
with:
|
||||
submodules: recursive # Fetch submodules
|
||||
fetch-depth: 0 # Fetch all history for .GitInfo and .Lastmod
|
||||
|
||||
# Step 2 Detect changes to Docs Content
|
||||
- name: Detect changes in doc content
|
||||
uses: dorny/paths-filter@v2
|
||||
id: filter
|
||||
with:
|
||||
filters: |
|
||||
docs:
|
||||
- 'docSite/content/docs/**'
|
||||
base: main
|
||||
|
||||
- name: Add cdn for images
|
||||
run: |
|
||||
sed -i "s#\](/imgs/#\](https://cdn.jsdelivr.net/gh/yangchuansheng/fastgpt-imgs@main/imgs/#g" $(grep -rl "\](/imgs/" docSite/content/zh-cn/docs)
|
||||
|
||||
# Step 3 - Install Hugo (specific version)
|
||||
- name: Install Hugo
|
||||
uses: peaceiris/actions-hugo@v2
|
||||
with:
|
||||
hugo-version: '0.117.0'
|
||||
extended: true
|
||||
|
||||
# Step 4 - Builds the site using Hugo
|
||||
- name: Build
|
||||
run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify
|
||||
|
||||
# Step 5 - Push our generated site to Vercel
|
||||
- name: Deploy to Vercel
|
||||
uses: amondnet/vercel-action@v25
|
||||
id: vercel-action
|
||||
with:
|
||||
vercel-token: ${{ secrets.VERCEL_TOKEN }} # Required
|
||||
vercel-org-id: ${{ secrets.VERCEL_ORG_ID }} #Required
|
||||
vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }} #Required
|
||||
github-comment: false
|
||||
vercel-args: '--prod --local-config ../vercel.json' # Optional
|
||||
working-directory: docSite/public
|
||||
|
||||
- name: Deploy to GitHub Pages
|
||||
uses: peaceiris/actions-gh-pages@v3
|
||||
with:
|
||||
github_token: ${{ secrets.GH_PAT }}
|
||||
publish_dir: docSite/public
|
||||
98
.github/workflows/docs-preview.yml
vendored
Normal file
@@ -0,0 +1,98 @@
|
||||
name: Preview FastGPT docs
|
||||
|
||||
on:
|
||||
pull_request_target:
|
||||
paths:
|
||||
- 'docSite/**'
|
||||
branches:
|
||||
- 'main'
|
||||
workflow_dispatch:
|
||||
|
||||
# A workflow run is made up of one or more jobs that can run sequentially or in parallel
|
||||
jobs:
|
||||
# This workflow contains jobs "deploy-production"
|
||||
deploy-preview:
|
||||
# The environment this job references
|
||||
environment:
|
||||
name: Preview
|
||||
url: ${{ steps.vercel-action.outputs.preview-url }}
|
||||
|
||||
# The type of runner that the job will run on
|
||||
runs-on: ubuntu-22.04
|
||||
|
||||
# Job outputs
|
||||
outputs:
|
||||
url: ${{ steps.vercel-action.outputs.preview-url }}
|
||||
|
||||
# Steps represent a sequence of tasks that will be executed as part of the job
|
||||
steps:
|
||||
# Step 1 - Checks-out your repository under $GITHUB_WORKSPACE
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v3
|
||||
with:
|
||||
ref: ${{ github.event.pull_request.head.ref }}
|
||||
repository: ${{ github.event.pull_request.head.repo.full_name }}
|
||||
submodules: recursive # Fetch submodules
|
||||
fetch-depth: 0 # Fetch all history for .GitInfo and .Lastmod
|
||||
|
||||
# Step 2 Detect changes to Docs Content
|
||||
- name: Detect changes in doc content
|
||||
uses: dorny/paths-filter@v2
|
||||
id: filter
|
||||
with:
|
||||
filters: |
|
||||
docs:
|
||||
- 'docSite/content/docs/**'
|
||||
base: main
|
||||
|
||||
- name: Add cdn for images
|
||||
run: |
|
||||
sed -i "s#\](/imgs/#\](https://cdn.jsdelivr.net/gh/yangchuansheng/fastgpt-imgs@main/imgs/#g" $(grep -rl "\](/imgs/" docSite/content/zh-cn/docs)
|
||||
|
||||
# Step 3 - Install Hugo (specific version)
|
||||
- name: Install Hugo
|
||||
uses: peaceiris/actions-hugo@v2
|
||||
with:
|
||||
hugo-version: '0.117.0'
|
||||
extended: true
|
||||
|
||||
# Step 4 - Builds the site using Hugo
|
||||
- name: Build
|
||||
run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify
|
||||
|
||||
# Step 5 - Push our generated site to Vercel
|
||||
- name: Deploy to Vercel
|
||||
uses: amondnet/vercel-action@v25
|
||||
id: vercel-action
|
||||
with:
|
||||
vercel-token: ${{ secrets.VERCEL_TOKEN }} # Required
|
||||
vercel-org-id: ${{ secrets.VERCEL_ORG_ID }} #Required
|
||||
vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }} #Required
|
||||
github-comment: false
|
||||
vercel-args: '--local-config ../vercel.json' # Optional
|
||||
working-directory: docSite/public
|
||||
alias-domains: | #Optional
|
||||
fastgpt-staging.vercel.app
|
||||
docsOutput:
|
||||
needs: [deploy-preview]
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
with:
|
||||
ref: ${{ github.event.pull_request.head.ref }}
|
||||
repository: ${{ github.event.pull_request.head.repo.full_name }}
|
||||
- name: Write md
|
||||
run: |
|
||||
echo "# 🤖 Generated by deploy action" > report.md
|
||||
echo "[👀 Visit Preview](${{ needs.deploy-preview.outputs.url }})" >> report.md
|
||||
cat report.md
|
||||
- name: Gh Rebot for Sealos
|
||||
uses: labring/gh-rebot@v0.0.6
|
||||
if: ${{ (github.event_name == 'pull_request_target') }}
|
||||
with:
|
||||
version: v0.0.6
|
||||
env:
|
||||
GH_TOKEN: '${{ secrets.GH_PAT }}'
|
||||
SEALOS_TYPE: 'pr_comment'
|
||||
SEALOS_FILENAME: 'report.md'
|
||||
SEALOS_REPLACE_TAG: 'DEFAULT_REPLACE_DEPLOY'
|
||||
52
.github/workflows/fastgpt-image-personal.yml
vendored
Normal file
@@ -0,0 +1,52 @@
|
||||
name: Build FastGPT images in Personal warehouse
|
||||
on:
|
||||
workflow_dispatch:
|
||||
push:
|
||||
paths:
|
||||
- 'projects/app/**'
|
||||
- 'packages/**'
|
||||
branches:
|
||||
- 'main'
|
||||
jobs:
|
||||
build-fastgpt-images:
|
||||
runs-on: ubuntu-20.04
|
||||
if: github.repository != 'labring/FastGPT'
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v3
|
||||
with:
|
||||
fetch-depth: 0
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v2
|
||||
with:
|
||||
driver-opts: network=host
|
||||
- name: Cache Docker layers
|
||||
uses: actions/cache@v3
|
||||
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:latest" >> $GITHUB_ENV
|
||||
- name: Build and publish image for main branch or tag push event
|
||||
env:
|
||||
DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
|
||||
run: |
|
||||
docker buildx build \
|
||||
--build-arg name=app \
|
||||
--label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
|
||||
--label "org.opencontainers.image.description=fastgpt image" \
|
||||
--push \
|
||||
--cache-from=type=local,src=/tmp/.buildx-cache \
|
||||
--cache-to=type=local,dest=/tmp/.buildx-cache \
|
||||
-t ${DOCKER_REPO_TAGGED} \
|
||||
-f Dockerfile \
|
||||
.
|
||||
120
.github/workflows/fastgpt-image.yml
vendored
@@ -1,17 +1,17 @@
|
||||
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:
|
||||
- 'client/**'
|
||||
branches:
|
||||
- 'main'
|
||||
- 'projects/app/**'
|
||||
- 'packages/**'
|
||||
tags:
|
||||
- 'v*.*.*'
|
||||
- 'v*'
|
||||
jobs:
|
||||
build-fastgpt-images:
|
||||
runs-on: ubuntu-20.04
|
||||
steps:
|
||||
# install env
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v3
|
||||
with:
|
||||
@@ -25,80 +25,68 @@ 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-
|
||||
|
||||
# login docker
|
||||
- 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:latest" >> $GITHUB_ENV
|
||||
else
|
||||
echo "DOCKER_REPO_TAGGED=ghcr.io/${{ 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 \
|
||||
--platform linux/amd64,linux/arm64 \
|
||||
--label "org.opencontainers.image.source= https://github.com/ ${{ github.repository_owner }}/FastGPT" \
|
||||
--label "org.opencontainers.image.description=fastgpt image" \
|
||||
--label "org.opencontainers.image.licenses=MIT" \
|
||||
--push \
|
||||
-t ${DOCKER_REPO_TAGGED} \
|
||||
-f Dockerfile \
|
||||
.
|
||||
push-to-docker-hub:
|
||||
needs: build-fastgpt-images
|
||||
runs-on: ubuntu-20.04
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v3
|
||||
- name: Login to Docker Hub
|
||||
uses: docker/login-action@v2
|
||||
with:
|
||||
username: ${{ secrets.DOCKER_HUB_NAME }}
|
||||
password: ${{ secrets.DOCKER_HUB_PASSWORD }}
|
||||
- name: Set DOCKER_REPO_TAGGED based on branch or tag
|
||||
run: |
|
||||
if [[ "${{ github.ref_name }}" == "main" ]]; then
|
||||
echo "IMAGE_TAG=latest" >> $GITHUB_ENV
|
||||
else
|
||||
echo "IMAGE_TAG=${{ github.ref_name }}" >> $GITHUB_ENV
|
||||
fi
|
||||
- name: Pull image from GitHub Container Registry
|
||||
run: docker pull ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}}
|
||||
- name: Tag image with Docker Hub repository name and version tag
|
||||
run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
|
||||
- name: Push image to Docker Hub
|
||||
run: docker push ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
|
||||
push-to-ali-hub:
|
||||
needs: build-fastgpt-images
|
||||
runs-on: ubuntu-20.04
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v3
|
||||
- name: Login to Ali Hub
|
||||
uses: docker/login-action@v2
|
||||
with:
|
||||
registry: registry.cn-hangzhou.aliyuncs.com
|
||||
username: ${{ secrets.ALI_HUB_USERNAME }}
|
||||
password: ${{ secrets.ALI_HUB_PASSWORD }}
|
||||
- name: Set DOCKER_REPO_TAGGED based on branch or tag
|
||||
- name: Login to Docker Hub
|
||||
uses: docker/login-action@v2
|
||||
with:
|
||||
username: ${{ secrets.DOCKER_HUB_NAME }}
|
||||
password: ${{ secrets.DOCKER_HUB_PASSWORD }}
|
||||
|
||||
# Set tag
|
||||
- name: Set image name and tag
|
||||
run: |
|
||||
if [[ "${{ github.ref_name }}" == "main" ]]; then
|
||||
echo "IMAGE_TAG=latest" >> $GITHUB_ENV
|
||||
echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt:latest" >> $GITHUB_ENV
|
||||
echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt:latest" >> $GITHUB_ENV
|
||||
echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
|
||||
echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
|
||||
echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
|
||||
echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
|
||||
else
|
||||
echo "IMAGE_TAG=${{ github.ref_name }}" >> $GITHUB_ENV
|
||||
echo "Git_Tag=ghcr.io/${{ github.repository_owner }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
|
||||
echo "Git_Latest=ghcr.io/${{ github.repository_owner }}/fastgpt:latest" >> $GITHUB_ENV
|
||||
echo "Ali_Tag=${{ secrets.ALI_IMAGE_NAME }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
|
||||
echo "Ali_Latest=${{ secrets.ALI_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
|
||||
echo "Docker_Hub_Tag=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
|
||||
echo "Docker_Hub_Latest=${{ secrets.DOCKER_IMAGE_NAME }}/fastgpt:latest" >> $GITHUB_ENV
|
||||
fi
|
||||
- name: Pull image from GitHub Container Registry
|
||||
run: docker pull ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}}
|
||||
- name: Tag image with Docker Hub repository name and version tag
|
||||
run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}
|
||||
- name: Push image to Docker Hub
|
||||
run: docker push ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}
|
||||
|
||||
- name: Build and publish image for main branch or tag push event
|
||||
env:
|
||||
DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
|
||||
run: |
|
||||
docker buildx build \
|
||||
-f projects/app/Dockerfile \
|
||||
--platform linux/amd64,linux/arm64 \
|
||||
--label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
|
||||
--label "org.opencontainers.image.description=fastgpt image" \
|
||||
--push \
|
||||
--cache-from=type=local,src=/tmp/.buildx-cache \
|
||||
--cache-to=type=local,dest=/tmp/.buildx-cache \
|
||||
-t ${Git_Tag} \
|
||||
-t ${Git_Latest} \
|
||||
-t ${Ali_Tag} \
|
||||
-t ${Ali_Latest} \
|
||||
-t ${Docker_Hub_Tag} \
|
||||
-t ${Docker_Hub_Latest} \
|
||||
.
|
||||
|
||||
29
.github/workflows/helm-release.yaml
vendored
Normal file
@@ -0,0 +1,29 @@
|
||||
name: Release helm chart
|
||||
|
||||
on:
|
||||
push:
|
||||
tags:
|
||||
- 'v*.*.*'
|
||||
workflow_dispatch:
|
||||
|
||||
jobs:
|
||||
helm:
|
||||
runs-on: ubuntu-20.04
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-tags: true
|
||||
fetch-depth: 0
|
||||
- name: Set output
|
||||
id: vars
|
||||
run: echo "tag=$(git describe --tags)" >> $GITHUB_OUTPUT
|
||||
- name: Release Helm
|
||||
run: |
|
||||
echo ${{ secrets.GH_PAT }} | helm registry login ghcr.io -u ${{ github.repository_owner }} --password-stdin
|
||||
export APP_VERSION=${{ steps.vars.outputs.tag }}
|
||||
export HELM_VERSION=${{ steps.vars.outputs.tag }}
|
||||
export HELM_REPO=ghcr.io/${{ github.repository_owner }}
|
||||
helm dependency update files/helm/fastgpt
|
||||
helm package files/helm/fastgpt --version ${HELM_VERSION}-helm --app-version ${APP_VERSION} -d bin
|
||||
helm push bin/fastgpt-${HELM_VERSION}-helm.tgz oci://${HELM_REPO}
|
||||
64
.github/workflows/preview-image.yml
vendored
Normal file
@@ -0,0 +1,64 @@
|
||||
name: Preview FastGPT images
|
||||
on:
|
||||
pull_request_target:
|
||||
paths:
|
||||
- 'projects/app/**'
|
||||
- 'packages/**'
|
||||
workflow_dispatch:
|
||||
|
||||
jobs:
|
||||
preview-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@v3
|
||||
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: ${{ env.DOCKER_REPO_TAGGED }}
|
||||
run: |
|
||||
docker buildx build \
|
||||
-f projects/app/Dockerfile \
|
||||
--label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
|
||||
--label "org.opencontainers.image.description=fastgpt-pr imae" \
|
||||
--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} \
|
||||
.
|
||||
|
||||
helm-check:
|
||||
runs-on: ubuntu-20.04
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v3
|
||||
- name: Helm Check
|
||||
run: |
|
||||
helm dependency update files/helm/fastgpt
|
||||
helm lint files/helm/fastgpt
|
||||
helm package files/helm/fastgpt
|
||||
35
.github/workflows/sync_imgs.yml
vendored
Normal file
@@ -0,0 +1,35 @@
|
||||
name: Sync images
|
||||
on:
|
||||
pull_request_target:
|
||||
branches:
|
||||
- main
|
||||
paths:
|
||||
- docSite/assets/imgs/**
|
||||
push:
|
||||
branches:
|
||||
- main
|
||||
paths:
|
||||
- docSite/assets/imgs/**
|
||||
workflow_dispatch:
|
||||
jobs:
|
||||
sync:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v3
|
||||
if: ${{ (github.event_name == 'pull_request_target') }}
|
||||
with:
|
||||
ref: ${{ github.event.pull_request.head.ref }}
|
||||
repository: ${{ github.event.pull_request.head.repo.full_name }}
|
||||
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: Run GitHub File Sync
|
||||
uses: BetaHuhn/repo-file-sync-action@v1.21.0
|
||||
with:
|
||||
GH_PAT: ${{ secrets.IMG_GH_PAT }}
|
||||
CONFIG_PATH: .github/sync_imgs.yml
|
||||
ORIGINAL_MESSAGE: true
|
||||
SKIP_PR: true
|
||||
COMMIT_EACH_FILE: false
|
||||
12
.gitignore
vendored
@@ -33,4 +33,14 @@ dist/
|
||||
|
||||
# hugo
|
||||
**/.hugo_build.lock
|
||||
docSite/public/
|
||||
docSite/public/
|
||||
docSite/resources/_gen/
|
||||
docSite/.vercel
|
||||
*.local.*
|
||||
|
||||
|
||||
.idea/
|
||||
files/helm/fastgpt/fastgpt-0.1.0.tgz
|
||||
files/helm/fastgpt/charts/*.tgz
|
||||
|
||||
tmp/
|
||||
|
||||
9
.imgbotconfig
Normal file
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"schedule": "daily", // daily|weekly|monthly
|
||||
"ignoredFiles": [
|
||||
"*.svg",
|
||||
"packages/*",
|
||||
"projects/*",
|
||||
],
|
||||
"minKBReduced": 200, // delay new prs until size reduction meets this threshold (default to 10)
|
||||
}
|
||||
3
.npmrc
Normal file
@@ -0,0 +1,3 @@
|
||||
public-hoist-pattern[]=*tiktoken*
|
||||
public-hoist-pattern[]=*@zilliz/milvus2-sdk-node*
|
||||
registry=https://registry.npmjs.org/
|
||||
@@ -2,4 +2,7 @@ dist
|
||||
.vscode
|
||||
**/.DS_Store
|
||||
node_modules
|
||||
docSite/
|
||||
docSite/
|
||||
*.md
|
||||
|
||||
cl100l_base.ts
|
||||
46
.vscode/i18n-ally-custom-framework.yml
vendored
Normal file
@@ -0,0 +1,46 @@
|
||||
# .vscode/i18n-ally-custom-framework.yml
|
||||
|
||||
# An array of strings which contain Language Ids defined by VS Code
|
||||
# You can check available language ids here: https://code.visualstudio.com/docs/languages/identifiers
|
||||
languageIds:
|
||||
- javascript
|
||||
- typescript
|
||||
- javascriptreact
|
||||
- typescriptreact
|
||||
|
||||
# An array of RegExes to find the key usage. **The key should be captured in the first match group**.
|
||||
# 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
|
||||
usageMatchRegex:
|
||||
# The following example shows how to detect `t("your.i18n.keys")`
|
||||
# the `{key}` will be placed by a proper keypath matching regex,
|
||||
# you can ignore it and use your own matching rules as well
|
||||
- "[^\\w\\d]t\\(['\"`]({key})['\"`]"
|
||||
- "[^\\w\\d]commonT\\(['\"`]({key})['\"`]"
|
||||
# 支持 appT("your.i18n.keys")
|
||||
- "[^\\w\\d]appT\\(['\"`]({key})['\"`]"
|
||||
# 支持 datasetT("your.i18n.keys")
|
||||
- "[^\\w\\d]datasetT\\(['\"`]({key})['\"`]"
|
||||
- "[^\\w\\d]fileT\\(['\"`]({key})['\"`]"
|
||||
- "[^\\w\\d]publishT\\(['\"`]({key})['\"`]"
|
||||
- "[^\\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: "([^:]+):"
|
||||
|
||||
# An array of strings containing refactor templates.
|
||||
# The "$1" will be replaced by the keypath specified.
|
||||
# Optional: uncomment the following two lines to use
|
||||
|
||||
# refactorTemplates:
|
||||
# - i18n.get("$1")
|
||||
|
||||
# If set to true, only enables this custom framework (will disable all built-in frameworks)
|
||||
monopoly: false
|
||||
122
.vscode/nextapi.code-snippets
vendored
Normal file
@@ -0,0 +1,122 @@
|
||||
{
|
||||
// Place your FastGPT 工作区 snippets here. Each snippet is defined under a snippet name and has a scope, prefix, body and
|
||||
// description. Add comma separated ids of the languages where the snippet is applicable in the scope field. If scope
|
||||
// is left empty or omitted, the snippet gets applied to all languages. The prefix is what is
|
||||
// used to trigger the snippet and the body will be expanded and inserted. Possible variables are:
|
||||
// $1, $2 for tab stops, $0 for the final cursor position, and ${1:label}, ${2:another} for placeholders.
|
||||
// Placeholders with the same ids are connected.
|
||||
// Example:
|
||||
"Next api template": {
|
||||
"scope": "javascript,typescript",
|
||||
"prefix": "nextapi",
|
||||
"body": [
|
||||
"import type { ApiRequestProps, ApiResponseType } from '@fastgpt/service/type/next';",
|
||||
"import { NextAPI } from '@/service/middleware/entry';",
|
||||
"",
|
||||
"export type ${TM_FILENAME_BASE}Query = {};",
|
||||
"",
|
||||
"export type ${TM_FILENAME_BASE}Body = {};",
|
||||
"",
|
||||
"export type ${TM_FILENAME_BASE}Response = {};",
|
||||
"",
|
||||
"async function handler(",
|
||||
" req: ApiRequestProps<${TM_FILENAME_BASE}Body, ${TM_FILENAME_BASE}Query>,",
|
||||
" res: ApiResponseType<any>",
|
||||
"): Promise<${TM_FILENAME_BASE}Response> {",
|
||||
" $1",
|
||||
" return {}",
|
||||
"}",
|
||||
"",
|
||||
"export default NextAPI(handler);"
|
||||
],
|
||||
"description": "FastGPT Next API template"
|
||||
},
|
||||
"use context template": {
|
||||
"scope": "typescriptreact",
|
||||
"prefix": "context",
|
||||
"body": [
|
||||
"import React, { ReactNode } from 'react';",
|
||||
"import { createContext } from 'use-context-selector';",
|
||||
"",
|
||||
"type ContextType = {$1};",
|
||||
"",
|
||||
"export const Context = createContext<ContextType>({});",
|
||||
"",
|
||||
"const ContextProvider = ({ children }: { children: ReactNode }) => {",
|
||||
" const contextValue: ContextType = {};",
|
||||
" return <Context.Provider value={contextValue}>{children}</Context.Provider>;",
|
||||
"};",
|
||||
"",
|
||||
"export default ContextProvider"
|
||||
],
|
||||
"description": "FastGPT usecontext template"
|
||||
},
|
||||
|
||||
"Jest test template": {
|
||||
"scope": "typescriptreact",
|
||||
"prefix": "jesttest",
|
||||
"body": [
|
||||
"import '@/pages/api/__mocks__/base';",
|
||||
"import { root } from '@/pages/api/__mocks__/db/init';",
|
||||
"import { getTestRequest } from '@/test/utils';",
|
||||
"import { AppErrEnum } from '@fastgpt/global/common/error/code/app';",
|
||||
"import handler from './demo';",
|
||||
"",
|
||||
"// Import the schema",
|
||||
"import { MongoOutLink } from '@fastgpt/service/support/outLink/schema';",
|
||||
"",
|
||||
"beforeAll(async () => {",
|
||||
" // await MongoOutLink.create({",
|
||||
" // shareId: 'aaa',",
|
||||
" // appId: root.appId,",
|
||||
" // tmbId: root.tmbId,",
|
||||
" // teamId: root.teamId,",
|
||||
" // type: 'share',",
|
||||
" // name: 'aaa'",
|
||||
" // })",
|
||||
"});",
|
||||
"",
|
||||
"test('Should return a list of outLink', async () => {",
|
||||
" // Mock request",
|
||||
" const res = (await handler(",
|
||||
" ...getTestRequest({",
|
||||
" query: {",
|
||||
" appId: root.appId,",
|
||||
" type: 'share'",
|
||||
" },",
|
||||
" user: root",
|
||||
" })",
|
||||
" )) as any;",
|
||||
"",
|
||||
" expect(res.code).toBe(200);",
|
||||
" expect(res.data.length).toBe(2);",
|
||||
"});",
|
||||
"",
|
||||
"test('appId is required', async () => {",
|
||||
" const res = (await handler(",
|
||||
" ...getTestRequest({",
|
||||
" query: {",
|
||||
" type: 'share'",
|
||||
" },",
|
||||
" user: root",
|
||||
" })",
|
||||
" )) as any;",
|
||||
" expect(res.code).toBe(500);",
|
||||
" expect(res.error).toBe(AppErrEnum.unExist);",
|
||||
"});",
|
||||
"",
|
||||
"test('if type is not provided, return nothing', async () => {",
|
||||
" const res = (await handler(",
|
||||
" ...getTestRequest({",
|
||||
" query: {",
|
||||
" appId: root.appId",
|
||||
" },",
|
||||
" user: root",
|
||||
" })",
|
||||
" )) as any;",
|
||||
" expect(res.code).toBe(200);",
|
||||
" expect(res.data.length).toBe(0);",
|
||||
"});"
|
||||
]
|
||||
}
|
||||
}
|
||||
27
.vscode/settings.json
vendored
@@ -1,15 +1,28 @@
|
||||
{
|
||||
"editor.formatOnSave": true,
|
||||
"editor.mouseWheelZoom": true,
|
||||
"typescript.tsdk": "client/node_modules/typescript/lib",
|
||||
"prettier.prettierPath": "./node_modules/prettier",
|
||||
"editor.defaultFormatter": "esbenp.prettier-vscode",
|
||||
"prettier.prettierPath": "node_modules/prettier",
|
||||
"typescript.tsdk": "node_modules/typescript/lib",
|
||||
"i18n-ally.localesPaths": [
|
||||
"client/public/locales"
|
||||
"packages/web/i18n",
|
||||
],
|
||||
"i18n-ally.enabledParsers": ["json"],
|
||||
"i18n-ally.keystyle": "nested",
|
||||
"i18n-ally.enabledParsers": [
|
||||
"json",
|
||||
"yaml",
|
||||
"js",
|
||||
"ts"
|
||||
],
|
||||
"i18n-ally.keystyle": "flat",
|
||||
"i18n-ally.sortKeys": true,
|
||||
"i18n-ally.keepFulfilled": 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": "en", // 显示语言
|
||||
"i18n-ally.displayLanguage": "zh", // 显示语言
|
||||
"i18n-ally.namespace": true,
|
||||
"i18n-ally.pathMatcher": "{locale}/{namespaces}.json",
|
||||
"i18n-ally.extract.targetPickingStrategy": "most-similar-by-key",
|
||||
"i18n-ally.translate.engines": ["google"],
|
||||
"[typescript]": {
|
||||
"editor.defaultFormatter": "esbenp.prettier-vscode"
|
||||
}
|
||||
}
|
||||
2
LICENSE
@@ -5,7 +5,7 @@ The FastGPT is licensed under the Apache License 2.0, with the following additio
|
||||
1. FastGPT is permitted to be used for commercialization. You can use FastGPT as a "backend-as-a-service" for your other applications, or delivering it to enterprises as an application development platform. However, when the following conditions are met, you must contact the producer to obtain a commercial license:
|
||||
|
||||
a. Multi-tenant SaaS service: Unless explicitly authorized by FastGPT in writing, you may not use the FastGPT.AI source code to operate a multi-tenant SaaS service that is similar to the FastGPT.
|
||||
b. LOGO and copyright information: In the process of using FastGPT, you may not remove or moFastGPT the LOGO or copyright information in the FastGPT console.
|
||||
b. LOGO and copyright information: In the process of using FastGPT, you may not remove or modify the LOGO or copyright information in the FastGPT console.
|
||||
|
||||
Please contact yujinlong@sealos.io by email to inquire about licensing matters.
|
||||
|
||||
|
||||
25
Makefile
Normal file
@@ -0,0 +1,25 @@
|
||||
# 定义默认变量
|
||||
proxy=null
|
||||
image=null
|
||||
|
||||
# 定义目标
|
||||
.PHONY: build
|
||||
|
||||
# 检查 target 是否定义
|
||||
ifndef name
|
||||
$(error name is not defined)
|
||||
endif
|
||||
|
||||
filePath=./projects/$(name)/Dockerfile
|
||||
|
||||
dev:
|
||||
pnpm --prefix ./projects/$(name) dev
|
||||
|
||||
build:
|
||||
ifeq ($(proxy), taobao)
|
||||
docker build -f $(filePath) -t $(image) . --build-arg proxy=taobao
|
||||
else ifeq ($(proxy), clash)
|
||||
docker build -f $(filePath) -t $(image) . --network host --build-arg HTTP_PROXY=http://127.0.0.1:7890 --build-arg HTTPS_PROXY=http://127.0.0.1:7890
|
||||
else
|
||||
docker build -f $(filePath) -t $(image) .
|
||||
endif
|
||||
220
README.md
@@ -1,121 +1,215 @@
|
||||
<div align="center">
|
||||
|
||||
<a href="https://fastgpt.run/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
|
||||
<a href="https://tryfastgpt.ai/"><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> |
|
||||
<a href="./README_ja.md">日语</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/">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>
|
||||
<a href="https://tryfastgpt.ai/">
|
||||
<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.tryfastgpt.ai/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.tryfastgpt.ai/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>
|
||||
</p>
|
||||
|
||||
https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
|
||||
|
||||
## 🛸 在线体验
|
||||
## 🛸 在线使用
|
||||
|
||||
[fastgpt.run](https://fastgpt.run/)(服务器在新加坡,部分地区可能无法直连)
|
||||
- 🌍 国际版:[tryfastgpt.ai](https://tryfastgpt.ai/)
|
||||
|
||||
| | |
|
||||
| ---------------------------------- | ---------------------------------- |
|
||||
|  |  |
|
||||
|  |  |
|
||||
|
||||
## 💡 功能
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
|
||||
</a>
|
||||
|
||||
1. 强大的可视化编排,轻松构建 AI 应用
|
||||
- [x] 提供简易模式,无需操作编排
|
||||
- [x] 用户对话前引导, 全局字符串变量
|
||||
- [x] 知识库搜索
|
||||
- [x] 多 LLM 模型对话
|
||||
- [x] 文本内容提取成结构化数据
|
||||
- [x] HTTP 扩展
|
||||
- [ ] 嵌入 Laf,实现在线编写 HTTP 模块
|
||||
- [ ] 连续对话引导
|
||||
- [ ] 对话多路线选择
|
||||
- [x] 源文件引用追踪
|
||||
- [ ] 自定义文件阅读器
|
||||
2. 丰富的知识库预处理
|
||||
## 💡 RoadMap
|
||||
|
||||
`1` 应用编排能力
|
||||
- [x] 对话工作流、插件工作流
|
||||
- [x] 工具调用
|
||||
- [x] Code sandbox
|
||||
- [x] 循环调用
|
||||
- [x] 用户选择
|
||||
- [ ] 表单输入
|
||||
|
||||
`2` 知识库能力
|
||||
- [x] 多库复用,混用
|
||||
- [x] chunk 记录修改和删除
|
||||
- [x] 支持 手动输入, 直接分段, QA 拆分导入
|
||||
- [x] 支持 url 读取、 CSV 批量导入
|
||||
- [x] 支持知识库单独设置向量模型
|
||||
- [x] 源文件存储
|
||||
- [ ] 文件学习 Agent
|
||||
3. 多种效果测试渠道
|
||||
- [x] 支持手动输入,直接分段,QA 拆分导入
|
||||
- [x] 支持 txt,md,html,pdf,docx,pptx,csv,xlsx (有需要更多可 PR file loader)
|
||||
- [x] 支持 url 读取、CSV 批量导入
|
||||
- [x] 混合检索 & 重排
|
||||
- [ ] 自定义文件读取服务
|
||||
- [ ] 自定义分块服务
|
||||
|
||||
`3` 应用调试能力
|
||||
- [x] 知识库单点搜索测试
|
||||
- [x] 对话时反馈引用并可修改与删除
|
||||
- [x] 完整上下文呈现
|
||||
- [ ] 完整模块中间值呈现
|
||||
4. OpenAPI
|
||||
- [x] completions 接口(对齐 GPT 接口)
|
||||
- [ ] 知识库 CRUD
|
||||
5. 运营功能
|
||||
- [x] 完整模块中间值呈现
|
||||
- [x] 高级编排 DeBug 模式
|
||||
|
||||
`4` OpenAPI 接口
|
||||
- [x] completions 接口 (chat 模式对齐 GPT 接口)
|
||||
- [x] 知识库 CRUD
|
||||
- [ ] 对话 CRUD
|
||||
|
||||
`5` 运营能力
|
||||
- [x] 免登录分享窗口
|
||||
- [x] Iframe 一键嵌入
|
||||
- [x] 聊天窗口嵌入支持自定义 Icon,默认打开,拖拽等功能
|
||||
- [x] 统一查阅对话记录,并对数据进行标注
|
||||
|
||||
`6` 其他
|
||||
- [x] 支持语音输入和输出 (可配置语音输入语音回答)
|
||||
- [x] 模糊输入提示
|
||||
- [x] 模板市场
|
||||
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
|
||||
</a>
|
||||
|
||||
## 👨💻 开发
|
||||
|
||||
项目技术栈: NextJs + TS + ChakraUI + Mongo + Postgres(Vector 插件)
|
||||
项目技术栈:NextJs + TS + ChakraUI + Mongo + Postgres (Vector 插件)
|
||||
|
||||
- **⚡ 快速部署**
|
||||
|
||||
> Sealos 的服务器在国外,不需要额外处理网络问题,无需服务器、无需魔法、无需域名,支持高并发 & 动态伸缩。点击以下按钮即可一键部署 👇
|
||||
> 使用 [Sealos](https://sealos.io) 服务,无需采购服务器、无需域名,支持高并发 & 动态伸缩,并且数据库应用采用 kubeblocks 的数据库,在 IO 性能方面,远超于简单的 Docker 容器部署。
|
||||
|
||||
[](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
|
||||
[点击查看 Sealos 一键部署 FastGPT 教程](https://doc.tryfastgpt.ai/docs/development/sealos/)
|
||||
|
||||
由于需要部署数据库,部署完后需要等待 2~4 分钟才能正常访问。默认用了最低配置,首次访问时会有些慢。
|
||||
* [快速开始本地开发](https://doc.tryfastgpt.ai/docs/development/intro/)
|
||||
* [部署 FastGPT](https://doc.tryfastgpt.ai/docs/development/sealos)
|
||||
* [系统配置文件说明](https://doc.tryfastgpt.ai/docs/development/configuration/)
|
||||
* [多模型配置](https://doc.tryfastgpt.ai/docs/development/one-api/)
|
||||
* [版本更新/升级介绍](https://doc.tryfastgpt.ai/docs/development/upgrading)
|
||||
* [OpenAPI API 文档](https://doc.tryfastgpt.ai/docs/development/openapi/)
|
||||
* [知识库结构详解](https://doc.tryfastgpt.ai/docs/course/dataset_engine/)
|
||||
|
||||
* [快开始本地开发](https://doc.fastgpt.run/docs/development/intro/)
|
||||
* [部署 FastGPT](https://doc.fastgpt.run/docs/installation)
|
||||
* [系统配置文件说明](https://doc.fastgpt.run/docs/development/configuration/)
|
||||
* [多模型配置](https://doc.fastgpt.run/docs/installation/one-api/)
|
||||
* [版本升级](https://doc.fastgpt.run/docs/installation/upgrading)
|
||||
* [API 文档](https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh?pre_pathname=%2Fdrive%2Fhome%2F)
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
|
||||
</a>
|
||||
|
||||
## 🏘️ 社区交流群
|
||||
|
||||
添加 wx 小助手加入:
|
||||
扫码加入飞书话题群 (新开,逐渐弃用微信群):
|
||||
|
||||

|
||||

|
||||
|
||||
## 👀 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/)
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
|
||||
</a>
|
||||
|
||||
## 💪 相关项目
|
||||
|
||||
- [Laf: 3 分钟快速接入三方应用](https://github.com/labring/laf)
|
||||
- [Sealos: 快速部署集群应用](https://github.com/labring/sealos)
|
||||
- [One API: 多模型管理,支持 Azure、文心一言等](https://github.com/songquanpeng/one-api)
|
||||
- [TuShan: 5 分钟搭建后台管理系统](https://github.com/msgbyte/tushan)
|
||||
- [Laf:3 分钟快速接入三方应用](https://github.com/labring/laf)
|
||||
- [Sealos:快速部署集群应用](https://github.com/labring/sealos)
|
||||
- [One API:多模型管理,支持 Azure、文心一言等](https://github.com/songquanpeng/one-api)
|
||||
- [TuShan:5 分钟搭建后台管理系统](https://github.com/msgbyte/tushan)
|
||||
|
||||
## 🤝 第三方生态
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
|
||||
</a>
|
||||
|
||||
- [luolinAI: 企微机器人,开箱即用](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
|
||||
## 👀 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)
|
||||
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
|
||||
</a>
|
||||
|
||||
## 🌿 第三方生态
|
||||
|
||||
- [OnWeChat 个人微信/企微机器人](https://doc.tryfastgpt.ai/docs/use-cases/onwechat/)
|
||||
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
|
||||
</a>
|
||||
|
||||
## 🤝 参与贡献
|
||||
|
||||
我们非常欢迎各种形式的贡献。如果你对贡献代码感兴趣,可以查看我们的 GitHub [Issues](https://github.com/labring/FastGPT/issues?q=is%3Aissue+is%3Aopen+sort%3Aupdated-desc),大展身手,向我们展示你的奇思妙想。
|
||||
|
||||
<a href="https://github.com/labring/FastGPT/graphs/contributors" target="_blank">
|
||||
<table>
|
||||
<tr>
|
||||
<th colspan="2">
|
||||
<br><img src="https://contrib.rocks/image?repo=labring/FastGPT"><br><br>
|
||||
</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<picture>
|
||||
<source media="(prefers-color-scheme: dark)" srcset="https://next.ossinsight.io/widgets/official/compose-org-active-contributors/thumbnail.png?activity=active&period=past_28_days&owner_id=102226726&repo_ids=605673387&image_size=2x3&color_scheme=dark">
|
||||
<img alt="Active participants of labring - past 28 days" src="https://next.ossinsight.io/widgets/official/compose-org-active-contributors/thumbnail.png?activity=active&period=past_28_days&owner_id=102226726&repo_ids=605673387&image_size=2x3&color_scheme=light">
|
||||
</picture>
|
||||
</td>
|
||||
<td rowspan="2">
|
||||
<picture>
|
||||
<source media="(prefers-color-scheme: dark)" srcset="https://next.ossinsight.io/widgets/official/compose-org-participants-growth/thumbnail.png?activity=new&period=past_28_days&owner_id=102226726&repo_ids=605673387&image_size=4x7&color_scheme=dark">
|
||||
<img alt="New trends of labring" src="https://next.ossinsight.io/widgets/official/compose-org-participants-growth/thumbnail.png?activity=new&period=past_28_days&owner_id=102226726&repo_ids=605673387&image_size=4x7&color_scheme=light">
|
||||
</picture>
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<picture>
|
||||
<source media="(prefers-color-scheme: dark)" srcset="https://next.ossinsight.io/widgets/official/compose-org-active-contributors/thumbnail.png?activity=new&period=past_28_days&owner_id=102226726&repo_ids=605673387&image_size=2x3&color_scheme=dark">
|
||||
<img alt="New participants of labring - past 28 days" src="https://next.ossinsight.io/widgets/official/compose-org-active-contributors/thumbnail.png?activity=new&period=past_28_days&owner_id=102226726&repo_ids=605673387&image_size=2x3&color_scheme=light">
|
||||
</picture>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
</a>
|
||||
|
||||
## 🌟 Star History
|
||||
|
||||
[](https://star-history.com/#labring/FastGPT&Date)
|
||||
<a href="https://github.com/labring/FastGPT/stargazers" target="_blank" style="display: block" align="center">
|
||||
<picture>
|
||||
<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=labring/FastGPT&type=Date&theme=dark" />
|
||||
<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=labring/FastGPT&type=Date" />
|
||||
<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=labring/FastGPT&type=Date" />
|
||||
</picture>
|
||||
</a>
|
||||
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
|
||||
</a>
|
||||
|
||||
## 使用协议
|
||||
|
||||
本仓库遵循 [FastGPT Open Source License](./LICENSE) 开源协议。
|
||||
|
||||
1. 允许作为后台服务直接商用,但不允许直接使用 saas 服务商用。
|
||||
2. 需保留相关版权信息。
|
||||
1. 允许作为后台服务直接商用,但不允许提供 SaaS 服务。
|
||||
2. 未经商业授权,任何形式的商用服务均需保留相关版权信息。
|
||||
3. 完整请查看 [FastGPT Open Source License](./LICENSE)
|
||||
4. 联系方式:yujinlong@sealos.io, [点击查看定价策略](https://fael3z0zfze.feishu.cn/docx/F155dbirfo8vDDx2WgWc6extnwf)
|
||||
4. 联系方式:Dennis@sealos.io,[点击查看商业版定价策略](https://doc.tryfastgpt.ai/docs/commercial)
|
||||
|
||||
174
README_en.md
@@ -1,96 +1,134 @@
|
||||
<div align="center">
|
||||
<a href="https://fastgpt.run/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
|
||||
|
||||
<a href="https://tryfastgpt.ai/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
|
||||
|
||||
# FastGPT
|
||||
|
||||
FastGPT is a knowledge-based question answering system built on the LLM. It offers out-of-the-box data processing and model invocation capabilities. Moreover, it allows for workflow orchestration through Flow visualization, thereby enabling complex question and answer scenarios!
|
||||
<p align="center">
|
||||
<a href="./README_en.md">English</a> |
|
||||
<a href="./README.md">简体中文</a> |
|
||||
<a href="./README_ja.md">日语</a>
|
||||
</p>
|
||||
|
||||
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.
|
||||
|
||||
</div>
|
||||
|
||||
<p align="center">
|
||||
<a href="https://fastgpt.run/">Online</a>
|
||||
·
|
||||
<a href="https://doc.fastgpt.run/docs/intro">Document</a>
|
||||
·
|
||||
<a href="https://doc.fastgpt.run/docs/development">Development</a>
|
||||
·
|
||||
<a href="https://doc.fastgpt.run/docs/installation">Deploy</a>
|
||||
·
|
||||
<a href="#powered-by">Power By</a>
|
||||
<a href="https://tryfastgpt.ai/">
|
||||
<img height="21" src="https://img.shields.io/badge/Try it Online-d4eaf7?style=flat-square&logo=spoj&logoColor=7d09f1" alt="cloud">
|
||||
</a>
|
||||
<a href="https://doc.tryfastgpt.ai/docs/intro">
|
||||
<img height="21" src="https://img.shields.io/badge/Documents-7d09f1?style=flat-square" alt="document">
|
||||
</a>
|
||||
<a href="https://doc.tryfastgpt.ai/docs/development">
|
||||
<img height="21" src="https://img.shields.io/badge/Local Development-%23d4eaf7?style=flat-square&logo=xcode&logoColor=7d09f1" alt="development">
|
||||
</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>
|
||||
</p>
|
||||
|
||||
## 🛸 Online
|
||||
<div align="center">
|
||||
|
||||
[](https://discord.gg/mp68xkZn2Q)
|
||||
|
||||
</div>
|
||||
|
||||
https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
|
||||
|
||||
## 🛸 Use Cloud Services
|
||||
|
||||
Cloud: [tryfastgpt.ai](https://tryfastgpt.ai/)
|
||||
|
||||
[fastgpt.run](https://fastgpt.run/)
|
||||
| | |
|
||||
| ---------------------------------- | ---------------------------------- |
|
||||
|  |  |
|
||||
|  |  |
|
||||
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-Back_to_Top-7d09f1.svg" alt="#" align="right">
|
||||
</a>
|
||||
|
||||
## 💡 Features
|
||||
|
||||
1. Powerful visual orchestration for easy AI application building
|
||||
`1` Application Orchestration Features
|
||||
|
||||
- [x] Provides a simple mode without the need for orchestration operations
|
||||
- [x] User dialogue pre-guidance
|
||||
- [x] Global variables
|
||||
- [x] Knowledge base search
|
||||
- [x] Multi-LLM model dialogue
|
||||
- [x] Extraction of text content into structured data
|
||||
- [x] HTTP extension
|
||||
- [ ] Sandbox JS runtime module
|
||||
- [ ] Continuous dialogue guidance
|
||||
- [ ] Dialogue multi-path selection
|
||||
- [ ] Source file reference tracking
|
||||
- [x] Offers a straightforward mode, eliminating the need for complex orchestration
|
||||
- [x] Provides clear next-step instructions in dialogues
|
||||
- [x] Facilitates workflow orchestration
|
||||
- [x] Tracks references in source files
|
||||
- [x] Encapsulates modules for enhanced reuse at multiple levels
|
||||
- [x] Combines search and reordering functions
|
||||
- [ ] Includes a tool module
|
||||
- [ ] Integrates [Laf](https://github.com/labring/laf) for online HTTP module creation
|
||||
- [ ] Plugin encapsulation capabilities
|
||||
|
||||
2. Rich knowledge base preprocessing
|
||||
`2` Knowledge Base Features
|
||||
|
||||
- [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
|
||||
- [x] Allows for the mixed use of multiple databases
|
||||
- [x] Keeps track of modifications and deletions in data chunks
|
||||
- [x] Enables specific vector models for each knowledge base
|
||||
- [x] Stores original source files
|
||||
- [x] Supports direct input and segment-based QA import
|
||||
- [x] Compatible with a variety of file formats: pdf, docx, txt, html, md, csv
|
||||
- [x] Facilitates URL reading and bulk CSV importing
|
||||
- [ ] Supports PPT and Excel file import
|
||||
- [ ] Features a file reader
|
||||
- [ ] Offers diverse data preprocessing options
|
||||
|
||||
3. Multiple effect testing channels
|
||||
`3` Application Debugging Features
|
||||
|
||||
- [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
|
||||
- [x] Enables targeted search testing within the knowledge base
|
||||
- [x] Allows feedback, editing, and deletion during conversations
|
||||
- [x] Presents the full context of interactions
|
||||
- [x] Displays all intermediate values within modules
|
||||
- [ ] Advanced DeBug mode for orchestration
|
||||
|
||||
4. OpenAPI
|
||||
`4` OpenAPI Interface
|
||||
|
||||
- [x] completions interface (aligned with GPT interface)
|
||||
- [ ] Knowledge base CRUD
|
||||
- [x] The completions interface (aligned with GPT's chat mode interface)
|
||||
- [x] CRUD operations for the knowledge base
|
||||
- [ ] CRUD operations for conversations
|
||||
|
||||
5. Operational functions
|
||||
`5` Operational Features
|
||||
|
||||
- [x] Login-free sharing window
|
||||
- [x] One-click embedding with Iframe
|
||||
- [ ] Unified access to dialogue records
|
||||
- [x] Share without requiring login
|
||||
- [x] Easy embedding with Iframe
|
||||
- [x] Customizable chat window embedding with features like default open, drag-and-drop
|
||||
- [x] Centralizes conversation records for review and annotation
|
||||
|
||||
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-Back_to_Top-7d09f1.svg" alt="#" align="right">
|
||||
</a>
|
||||
|
||||
## 👨💻 Development
|
||||
|
||||
Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
|
||||
|
||||
- [Getting Started with Local Development](https://doc.fastgpt.run/docs/development)
|
||||
- [Deploying FastGPT](https://doc.fastgpt.run/docs/installation)
|
||||
- [System Configuration File Explanation](https://doc.fastgpt.run/docs/installation/reference)
|
||||
- [Multi-model Configuration](https://doc.fastgpt.run/docs/installation/reference/models)
|
||||
- [V3 Upgrade V4 Initialization](https://doc.fastgpt.run/docs/installation/upgrading)
|
||||
- **⚡ Deployment**
|
||||
|
||||
<!-- ## :point_right: RoadMap
|
||||
- [FastGPT RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte) -->
|
||||
[](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
|
||||
|
||||
<!-- ## 🏘️ Community
|
||||
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.
|
||||
|
||||
| Community Group | Assistant |
|
||||
| ------------------------------------------------- | ---------------------------------------------- |
|
||||
|  |  | -->
|
||||
- [Getting Started with Local Development](https://doc.tryfastgpt.ai/docs/development)
|
||||
- [Deploying FastGPT](https://doc.tryfastgpt.ai/docs/installation)
|
||||
- [Guide on System Configs](https://doc.tryfastgpt.ai/docs/installation/reference)
|
||||
- [Configuring Multiple Models](https://doc.tryfastgpt.ai/docs/installation/reference/models)
|
||||
- [Version Updates & Upgrades](https://doc.tryfastgpt.ai/docs/installation/upgrading)
|
||||
|
||||
|
||||
## 🏘️ Community & support
|
||||
|
||||
+ 🌐 Visit the [FastGPT website](https://tryfastgpt.ai/) for full documentation and useful links.
|
||||
+ 💬 Join our [Discord server](https://discord.gg/mp68xkZn2Q) is to chat with FastGPT developers and other FastGPT users. This is a good place to learn about FastGPT, ask questions, and share your experiences.
|
||||
+ 🐞 Create [GitHub Issues](https://github.com/labring/FastGPT/issues/new/choose) for bug reports and feature requests.
|
||||
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-Back_to_Top-7d09f1.svg" alt="#" align="right">
|
||||
</a>
|
||||
|
||||
## 👀 Others
|
||||
|
||||
@@ -99,6 +137,10 @@ Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
|
||||
- [Official Account Integration Video Tutorial](https://www.bilibili.com/video/BV1xh4y1t7fy/)
|
||||
- [FastGPT Knowledge Base Demo](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
|
||||
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-Back_to_Top-7d09f1.svg" alt="#" align="right">
|
||||
</a>
|
||||
|
||||
## 💪 Related Projects
|
||||
|
||||
- [Laf: 3-minute quick access to third-party applications](https://github.com/labring/laf)
|
||||
@@ -106,10 +148,24 @@ Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
|
||||
- [One API: Multi-model management, supports Azure, Wenxin Yiyuan, etc.](https://github.com/songquanpeng/one-api)
|
||||
- [TuShan: Build a backend management system in 5 minutes](https://github.com/msgbyte/tushan)
|
||||
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-Back_to_Top-7d09f1.svg" alt="#" align="right">
|
||||
</a>
|
||||
|
||||
## 🤝 Third-party Ecosystem
|
||||
|
||||
- [luolinAI: Enterprise WeChat bot, ready to use](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
|
||||
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-Back_to_Top-7d09f1.svg" alt="#" align="right">
|
||||
</a>
|
||||
|
||||
## 🌟 Star History
|
||||
|
||||
[](https://star-history.com/#labring/FastGPT&Date)
|
||||
<a href="https://github.com/labring/FastGPT/stargazers" target="_blank" style="display: block" align="center">
|
||||
<picture>
|
||||
<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=labring/FastGPT&type=Date&theme=dark" />
|
||||
<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=labring/FastGPT&type=Date" />
|
||||
<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=labring/FastGPT&type=Date" />
|
||||
</picture>
|
||||
</a>
|
||||
|
||||
136
README_ja.md
Normal file
@@ -0,0 +1,136 @@
|
||||
<div align="center">
|
||||
|
||||
<a href="https://tryfastgpt.ai/"><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> |
|
||||
<a href="./README_ja.md">日语</a>
|
||||
</p>
|
||||
|
||||
FastGPT は、LLM 上 に 構築 された 知識 ベースの Q&A システムで、すぐに 使 えるデータ 処理 とモデル 呼 び 出 し 機能 を 提供 し、Flow の 可視化 を 通 じてワークフローのオーケストレーションを 可能 にします!
|
||||
|
||||
</div>
|
||||
|
||||
<p align="center">
|
||||
<a href="https://tryfastgpt.ai/">
|
||||
<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.tryfastgpt.ai/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.tryfastgpt.ai/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>
|
||||
</p>
|
||||
|
||||
https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
|
||||
|
||||
## 🛸 クラウドサービスの 利用
|
||||
|
||||
[tryfastgpt.ai](https://tryfastgpt.ai/)
|
||||
|
||||
| | |
|
||||
| ---------------------------------- | ---------------------------------- |
|
||||
|  |  |
|
||||
|  |  |
|
||||
|
||||
## 💡 機能
|
||||
|
||||
1. パワフルなビジュアルワークフロー:AI アプリケーションを 簡単 に 作成
|
||||
|
||||
- [x] デッキのシンプルモード - マニュアルアレンジ 不要
|
||||
- [x] ユーザ 対話事前 ガイダンス
|
||||
- [x] グローバル 変数
|
||||
- [x] ナレッジベース 検索
|
||||
- [x] 複数 の LLM モデルによる 対話
|
||||
- [x] テキストマジック - 構造化 データへの 変換
|
||||
- [x] HTTP による 拡張
|
||||
- [ ] on-the-fly HTTP モジュールのための 埋 め 込 みLaf
|
||||
- [x] 次 の 対話 ステップへの 指示
|
||||
- [x] ソースファイル 参照 の 追跡
|
||||
- [ ] カスタムファイルリーダー
|
||||
- [ ] モジュールをプラグインにパッケージして 再利用 する
|
||||
|
||||
2. 広範 なナレッジベースの 前処理
|
||||
|
||||
- [x] 複数 のナレッジベースの 再利用 と 混合
|
||||
- [x] チャンクの 変更 と 削除 を 追跡
|
||||
- [x] 手動入力、直接分割、QA 分割 インポートをサポート
|
||||
- [x] URL フェッチとバッチ CSV インポートをサポート
|
||||
- [x] ナレッジベースにユニークなベクトルモデルを 設定可能
|
||||
- [x] オリジナルファイルの 保存
|
||||
- [ ] ファイル 学習 エージェント
|
||||
|
||||
3. 複数 の 効果測定 チャンネル
|
||||
|
||||
- [x] シングルポイントナレッジベース 検索 テスト
|
||||
- [x] 対話中 のフィードバック 参照 と 修正 ・ 削除機能
|
||||
- [x] 完全 なコンテキストの 提示
|
||||
- [ ] 完全 なモジュール 中間値提示
|
||||
|
||||
4. OpenAPI
|
||||
|
||||
- [x] 補完 インターフェイス (GPT インターフェイスに 合 わせる)
|
||||
- [ ] ナレッジベース CRUD
|
||||
|
||||
5. オペレーション 機能
|
||||
|
||||
- [x] ログイン 不要 の 共有 ウィンドウ
|
||||
- [x] Iframe によるワンクリック 埋 め 込 み
|
||||
- [ ] 対話記録 への 統一 されたアクセス
|
||||
|
||||
## 👨💻 開発
|
||||
|
||||
プロジェクトの 技術 スタック:NextJs + TS + ChakraUI + Mongo + Postgres (Vector プラグイン)
|
||||
|
||||
- **⚡ デプロイ**
|
||||
|
||||
[](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
|
||||
|
||||
デプロイ 後、データベースをセットアップするので、2~4分待 ってください。基本設定 を 使 っているので、最初 は 少 し 遅 いかもしれません。
|
||||
|
||||
- [ローカル 開発入門](https://doc.tryfastgpt.ai/docs/development)
|
||||
- [FastGPT のデプロイ](https://doc.tryfastgpt.ai/docs/installation)
|
||||
- [システム 設定 ガイド](https://doc.tryfastgpt.ai/docs/installation/reference)
|
||||
- [複数 モデルの 設定](https://doc.tryfastgpt.ai/docs/installation/reference/models)
|
||||
- [バージョン 更新 とアップグレード](https://doc.tryfastgpt.ai/docs/installation/upgrading)
|
||||
|
||||
<!-- ## :point_right: ロードマップ
|
||||
- [FastGPT ロードマップ](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte) -->
|
||||
|
||||
<!-- ## 🏘️ コミュニティ
|
||||
|
||||
| コミュニティグループ | アシスタント |
|
||||
| ------------------------------------------------- | ---------------------------------------------- |
|
||||
|  |  | -->
|
||||
|
||||
## 👀 その 他
|
||||
|
||||
- [FastGPT FAQ](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
|
||||
- [Docker 導入 チュートリアル 動画](https://www.bilibili.com/video/BV1jo4y147fT/)
|
||||
- [公式 アカウント 統合 ビデオチュートリアル](https://www.bilibili.com/video/BV1xh4y1t7fy/)
|
||||
- [FastGPT ナレッジベースデモ](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
|
||||
|
||||
## 💪 関連 プロジェクト
|
||||
|
||||
- [Laf:サードパーティ 製 アプリケーションに 3 分 でクイックアクセス](https://github.com/labring/laf)
|
||||
- [Sealos:クラスタアプリケーションの 迅速 な 展開](https://github.com/labring/sealos)
|
||||
- [One API:マルチモデル 管理、Azure、Wenxin Yiyuan などをサポートします。](https://github.com/songquanpeng/one-api)
|
||||
- [TuShan:5 分 でバックエンド 管理 システムを 構築](https://github.com/msgbyte/tushan)
|
||||
|
||||
## 🤝 サードパーティエコシステム
|
||||
|
||||
- [luolinAI:すぐに 使 える 企業向 け WeChat ボット](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
|
||||
|
||||
## 🌟 Star History
|
||||
|
||||
[](https://star-history.com/#labring/FastGPT&Date)
|
||||
BIN
bin/fastgpt-v1.0.0-helm.tgz
Normal file
@@ -1,22 +0,0 @@
|
||||
# 默认用户密码,用户名为 root,每次重启时会自动更新。
|
||||
DEFAULT_ROOT_PSW=123456
|
||||
# 数据库最大连接数
|
||||
DB_MAX_LINK=5
|
||||
# token
|
||||
TOKEN_KEY=dfdasfdas
|
||||
# 文件阅读时的秘钥
|
||||
FILE_TOKEN_KEY=filetokenkey
|
||||
# root key, 最高权限
|
||||
ROOT_KEY=fdafasd
|
||||
# openai 基本地址,可用作中转。
|
||||
OPENAI_BASE_URL=https://api.openai.com/v1
|
||||
# oneapi 地址,可以使用 oneapi 来实现多模型接入
|
||||
# ONEAPI_URL=https://xxxx.cloud.sealos.io/openai/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_URL,key 也需要是 ONEAPI 的 key
|
||||
CHAT_API_KEY=sk-xxxx
|
||||
# db
|
||||
MONGODB_URI=mongodb://username:password@0.0.0.0:27017/fastgpt?authSource=admin
|
||||
PG_URL=postgresql://username:password@host:port/postgres
|
||||
# 首页路径
|
||||
HOME_URL=/
|
||||
32
client/.gitignore
vendored
@@ -1,32 +0,0 @@
|
||||
# dependencies
|
||||
node_modules/
|
||||
# next.js
|
||||
.next/
|
||||
out/
|
||||
# production
|
||||
build/
|
||||
|
||||
# misc
|
||||
.DS_Store
|
||||
*.pem
|
||||
|
||||
# debug
|
||||
npm-debug.log*
|
||||
yarn-debug.log*
|
||||
yarn-error.log*
|
||||
.pnpm-debug.log*
|
||||
|
||||
# local env files
|
||||
.env*.local
|
||||
|
||||
# vercel
|
||||
.vercel
|
||||
|
||||
# typescript
|
||||
*.tsbuildinfo
|
||||
next-env.d.ts
|
||||
platform.json
|
||||
testApi/
|
||||
local/
|
||||
.husky/
|
||||
data/*.local.*
|
||||
@@ -1,65 +0,0 @@
|
||||
# Install dependencies only when needed
|
||||
FROM node:current-alpine AS deps
|
||||
# Check https://github.com/nodejs/docker-node/tree/b4117f9333da4138b03a546ec926ef50a31506c3#nodealpine to understand why libc6-compat might be needed.
|
||||
RUN apk add --no-cache libc6-compat && npm install -g pnpm
|
||||
WORKDIR /app
|
||||
|
||||
# Install dependencies based on the preferred package manager
|
||||
COPY package.json ./
|
||||
COPY pnpm-lock.yaml* ./
|
||||
RUN \
|
||||
[ -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"]
|
||||
@@ -1,66 +0,0 @@
|
||||
{
|
||||
"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
@@ -1,5 +0,0 @@
|
||||
/// <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.
|
||||
@@ -1,12 +0,0 @@
|
||||
//next-i18next.config.js
|
||||
/**
|
||||
* @type {import('next-i18next').UserConfig}
|
||||
*/
|
||||
|
||||
module.exports = {
|
||||
i18n: {
|
||||
defaultLocale: 'zh',
|
||||
locales: ['en', 'zh', 'zh-Hans', 'zh-CN'],
|
||||
localeDetection: false
|
||||
}
|
||||
};
|
||||
@@ -1,40 +0,0 @@
|
||||
/** @type {import('next').NextConfig} */
|
||||
const { i18n } = require('./next-i18next.config');
|
||||
|
||||
const nextConfig = {
|
||||
i18n,
|
||||
output: 'standalone',
|
||||
reactStrictMode: false,
|
||||
compress: true,
|
||||
|
||||
webpack(config, { isServer }) {
|
||||
if (!isServer) {
|
||||
config.resolve = {
|
||||
...config.resolve,
|
||||
fallback: {
|
||||
...config.resolve.fallback,
|
||||
fs: false
|
||||
}
|
||||
};
|
||||
}
|
||||
config.experiments = {
|
||||
asyncWebAssembly: true,
|
||||
layers: true
|
||||
};
|
||||
config.module = {
|
||||
...config.module,
|
||||
rules: config.module.rules.concat([
|
||||
{
|
||||
test: /\.svg$/i,
|
||||
issuer: /\.[jt]sx?$/,
|
||||
use: ['@svgr/webpack']
|
||||
}
|
||||
]),
|
||||
exprContextCritical: false
|
||||
};
|
||||
|
||||
return config;
|
||||
}
|
||||
};
|
||||
|
||||
module.exports = nextConfig;
|
||||
@@ -1,95 +0,0 @@
|
||||
{
|
||||
"name": "fastgpt",
|
||||
"version": "4.2.1",
|
||||
"private": false,
|
||||
"scripts": {
|
||||
"dev": "next dev",
|
||||
"build": "next build",
|
||||
"start": "next start",
|
||||
"lint": "next lint"
|
||||
},
|
||||
"dependencies": {
|
||||
"@chakra-ui/icons": "^2.0.17",
|
||||
"@chakra-ui/react": "^2.7.0",
|
||||
"@chakra-ui/system": "^2.5.8",
|
||||
"@dqbd/tiktoken": "^1.0.7",
|
||||
"@emotion/react": "^11.10.6",
|
||||
"@emotion/styled": "^11.10.6",
|
||||
"@mozilla/readability": "^0.4.4",
|
||||
"@next/font": "13.1.6",
|
||||
"@tanstack/react-query": "^4.24.10",
|
||||
"@types/nprogress": "^0.2.0",
|
||||
"axios": "^1.3.3",
|
||||
"cookie": "^0.5.0",
|
||||
"crypto": "^1.0.1",
|
||||
"date-fns": "^2.30.0",
|
||||
"dayjs": "^1.11.7",
|
||||
"echarts": "^5.4.1",
|
||||
"echarts-gl": "^2.0.9",
|
||||
"formidable": "^2.1.1",
|
||||
"framer-motion": "^9.0.6",
|
||||
"hyperdown": "^2.4.29",
|
||||
"i18next": "^22.5.1",
|
||||
"immer": "^9.0.19",
|
||||
"js-cookie": "^3.0.5",
|
||||
"jschardet": "^3.0.0",
|
||||
"jsdom": "^22.1.0",
|
||||
"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": "13.1.6",
|
||||
"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",
|
||||
"react": "18.2.0",
|
||||
"react-day-picker": "^8.7.1",
|
||||
"react-dom": "18.2.0",
|
||||
"react-hook-form": "^7.43.1",
|
||||
"react-i18next": "^12.3.1",
|
||||
"react-markdown": "^8.0.7",
|
||||
"react-syntax-highlighter": "^15.5.0",
|
||||
"reactflow": "^11.7.4",
|
||||
"rehype-katex": "^6.0.2",
|
||||
"remark-breaks": "^3.0.3",
|
||||
"remark-gfm": "^3.0.1",
|
||||
"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/cookie": "^0.5.1",
|
||||
"@types/formidable": "^2.0.5",
|
||||
"@types/js-cookie": "^3.0.3",
|
||||
"@types/jsdom": "^21.1.1",
|
||||
"@types/jsonwebtoken": "^9.0.1",
|
||||
"@types/lodash": "^4.14.191",
|
||||
"@types/multer": "^1.4.7",
|
||||
"@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"
|
||||
}
|
||||
}
|
||||
12504
client/pnpm-lock.yaml
generated
@@ -1,22 +0,0 @@
|
||||
### 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 |
|
||||
| ----------------------- | -------------------- |
|
||||
|  |  |
|
||||
@@ -1,7 +0,0 @@
|
||||
### 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)
|
||||
@@ -1,3 +0,0 @@
|
||||
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|
||||
transform="translate(0 0) rotate(0 720 450)"
|
||||
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|
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|
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|
||||
|
Before Width: | Height: | Size: 3.2 KiB |
@@ -1 +0,0 @@
|
||||
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|
||||
|
Before Width: | Height: | Size: 1006 B |
|
Before Width: | Height: | Size: 572 B |
|
Before Width: | Height: | Size: 1.6 KiB |
@@ -1,89 +0,0 @@
|
||||
async function embedChatbot() {
|
||||
const chatBtnId = 'fastgpt-chatbot-button';
|
||||
const chatWindowId = 'fastgpt-chatbot-window';
|
||||
const script = document.getElementById('fastgpt-iframe');
|
||||
const botSrc = script?.getAttribute('data-src');
|
||||
const primaryColor = script?.getAttribute('data-color') || '#4e83fd';
|
||||
|
||||
if (!botSrc) {
|
||||
console.error(`Can't find appid`);
|
||||
return;
|
||||
}
|
||||
if (document.getElementById(chatBtnId)) {
|
||||
return;
|
||||
}
|
||||
|
||||
const MessageIcon = `<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1690532785664" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="4132" xmlns:xlink="http://www.w3.org/1999/xlink" ><path d="M512 32C247.04 32 32 224 32 464A410.24 410.24 0 0 0 172.48 768L160 965.12a25.28 25.28 0 0 0 39.04 22.4l168-112A528.64 528.64 0 0 0 512 896c264.96 0 480-192 480-432S776.96 32 512 32z m244.8 416l-361.6 301.76a12.48 12.48 0 0 1-19.84-12.48l59.2-233.92h-160a12.48 12.48 0 0 1-7.36-23.36l361.6-301.76a12.48 12.48 0 0 1 19.84 12.48l-59.2 233.92h160a12.48 12.48 0 0 1 8 22.08z" fill=${primaryColor} p-id="4133"></path></svg>`;
|
||||
|
||||
const CloseIcon = `<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1690535441526" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="6367" xmlns:xlink="http://www.w3.org/1999/xlink"><path d="M512 1024A512 512 0 1 1 512 0a512 512 0 0 1 0 1024zM305.956571 370.395429L447.488 512 305.956571 653.604571a45.568 45.568 0 1 0 64.438858 64.438858L512 576.512l141.604571 141.531429a45.568 45.568 0 0 0 64.438858-64.438858L576.512 512l141.531429-141.604571a45.568 45.568 0 1 0-64.438858-64.438858L512 447.488 370.395429 305.956571a45.568 45.568 0 0 0-64.438858 64.438858z" fill=${primaryColor} p-id="6368"></path></svg>`;
|
||||
|
||||
const ChatBtn = document.createElement('div');
|
||||
ChatBtn.id = chatBtnId;
|
||||
ChatBtn.style.cssText =
|
||||
'position: fixed; bottom: 1rem; right: 1rem; width: 40px; height: 40px; cursor: pointer; z-index: 2147483647; transition: 0;';
|
||||
|
||||
const ChatBtnDiv = document.createElement('div');
|
||||
ChatBtnDiv.innerHTML = MessageIcon;
|
||||
|
||||
const iframe = document.createElement('iframe');
|
||||
iframe.allow = 'fullscreen;microphone';
|
||||
iframe.title = 'FastGPT Chat Window';
|
||||
iframe.id = chatWindowId;
|
||||
iframe.src = botSrc;
|
||||
|
||||
iframe.style.cssText =
|
||||
'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;
|
||||
let chatBtnDown = false;
|
||||
let chatBtnMouseX;
|
||||
let chatBtnMouseY;
|
||||
ChatBtn.addEventListener('click', function () {
|
||||
if (chatBtnDragged) {
|
||||
chatBtnDragged = false;
|
||||
return;
|
||||
}
|
||||
const chatWindow = document.getElementById(chatWindowId);
|
||||
|
||||
if (!chatWindow) return;
|
||||
const visibilityVal = chatWindow.style.visibility;
|
||||
if (visibilityVal === 'hidden') {
|
||||
chatWindow.style.visibility = 'unset';
|
||||
ChatBtnDiv.innerHTML = CloseIcon;
|
||||
} else {
|
||||
chatWindow.style.visibility = 'hidden';
|
||||
ChatBtnDiv.innerHTML = MessageIcon;
|
||||
}
|
||||
});
|
||||
|
||||
ChatBtn.addEventListener('mousedown', (e) => {
|
||||
if (!chatBtnMouseX && !chatBtnMouseY) {
|
||||
chatBtnMouseX = e.clientX;
|
||||
chatBtnMouseY = e.clientY;
|
||||
}
|
||||
|
||||
chatBtnDown = true;
|
||||
});
|
||||
ChatBtn.addEventListener('mousemove', (e) => {
|
||||
if (!chatBtnDown) return;
|
||||
chatBtnDragged = true;
|
||||
const transformX = e.clientX - chatBtnMouseX;
|
||||
const transformY = e.clientY - chatBtnMouseY;
|
||||
|
||||
ChatBtn.style.transform = `translate3d(${transformX}px, ${transformY}px, 0)`;
|
||||
|
||||
e.stopPropagation();
|
||||
});
|
||||
ChatBtn.addEventListener('mouseup', (e) => {
|
||||
chatBtnDown = false;
|
||||
});
|
||||
ChatBtn.addEventListener('mouseleave', (e) => {
|
||||
chatBtnDown = false;
|
||||
});
|
||||
|
||||
ChatBtn.appendChild(ChatBtnDiv);
|
||||
document.body.appendChild(ChatBtn);
|
||||
}
|
||||
document.body.onload = embedChatbot;
|
||||
15792
client/public/js/pdf.js
64521
client/public/js/pdf.worker.js
vendored
@@ -1,261 +0,0 @@
|
||||
{
|
||||
"App": "App",
|
||||
"Cancel": "No",
|
||||
"Confirm": "Yes",
|
||||
"Create New": "Create",
|
||||
"Dataset": "Dataset",
|
||||
"Export": "Export",
|
||||
"Folder": "Folder",
|
||||
"Move": "Move",
|
||||
"Name": "Name",
|
||||
"Rename": "Rename",
|
||||
"Running": "Running",
|
||||
"Select value is empty": "Select value is empty",
|
||||
"UnKnow": "UnKnow",
|
||||
"Warning": "Warning",
|
||||
"app": {
|
||||
"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",
|
||||
"Chat Logs Tips": "Logs record the app's online, shared, and API(chatId is existing) conversations",
|
||||
"Chat logs": "Chat Logs",
|
||||
"Confirm Del App Tip": "Confirm to delete the app and all its chats",
|
||||
"Confirm Save App Tip": "The application may be in advanced orchestration mode, and the advanced orchestration configuration will be overwritten after saving, please confirm!",
|
||||
"Connection is invalid": "Connecting is invalid",
|
||||
"Connection type is different": "Connection type is different",
|
||||
"Copy Module Config": "Copy config",
|
||||
"Export Config Successful": "The configuration has been copied. Please check for important data",
|
||||
"Export Configs": "Export Configs",
|
||||
"Feedback Count": "User Feedback",
|
||||
"Import Config": "Import Config",
|
||||
"Import Config Failed": "Failed to import the configuration, please ensure that the configuration is normal!",
|
||||
"Import Configs": "Import Configs",
|
||||
"Input Field Settings": "Input Field Settings",
|
||||
"Logs Empty": "Logs is empty",
|
||||
"Logs Message Total": "Message Count",
|
||||
"Logs Source": "Source",
|
||||
"Logs Time": "Time",
|
||||
"Logs Title": "Title",
|
||||
"Mark Count": "Mark Count",
|
||||
"My Apps": "My Apps",
|
||||
"Output Field Settings": "Output Field Settings",
|
||||
"Paste Config": "Paste Config",
|
||||
"Variable Key Repeat Tip": "Variable Key Repeat"
|
||||
},
|
||||
"chat": {
|
||||
"Admin Mark Content": "Corrected response",
|
||||
"Complete Response": "Complete Response",
|
||||
"Confirm to clear history": "Confirm to clear history?",
|
||||
"Confirm to clear share chat histroy": " Are you sure to delete all chats?",
|
||||
"Exit Chat": "Exit",
|
||||
"Feedback Close": "Close Feedback",
|
||||
"Feedback Failed": "Feedback Failed",
|
||||
"Feedback Mark": "Mark",
|
||||
"Feedback Modal": "Feedback",
|
||||
"Feedback Modal Tip": "Enter what you find unsatisfactory",
|
||||
"Feedback Submit": "Submit",
|
||||
"Feedback Success": "Feedback Success",
|
||||
"Feedback Update Failed": "Feedback Update Failed",
|
||||
"History": "History",
|
||||
"Mark": "Mark",
|
||||
"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",
|
||||
"Read Mark Description": "Read mark description",
|
||||
"Read User Feedback": "Read user feedback",
|
||||
"Select Mark Kb": "Select Dataset",
|
||||
"Select Mark Kb Desc": "Select a dataset to store the expected answers",
|
||||
"You need to a chat app": "You need to a chat app",
|
||||
"logs": {
|
||||
"api": "API",
|
||||
"online": "Online Chat",
|
||||
"share": "Share",
|
||||
"test": "Test Chat "
|
||||
},
|
||||
"retry": "Retry"
|
||||
},
|
||||
"common": {
|
||||
"Add": "Add",
|
||||
"Cancel": "Cancel",
|
||||
"Collect": "Collect",
|
||||
"Copy": "Copy",
|
||||
"Copy Successful": "Copy Successful",
|
||||
"Course": "",
|
||||
"Delete": "Delete",
|
||||
"Delete Failed": "Delete Failed",
|
||||
"Delete Success": "Delete Successful",
|
||||
"Delete Warning": "Warning",
|
||||
"Edit": "Edit",
|
||||
"Expired Time": "Expired",
|
||||
"Filed is repeat": "Filed is repeated",
|
||||
"Filed is repeated": "",
|
||||
"Input": "Input",
|
||||
"Name is empty": "Name is empty",
|
||||
"Output": "Output",
|
||||
"Password inconsistency": "Password inconsistency",
|
||||
"Rename": "Rename",
|
||||
"Search": "Search",
|
||||
"Status": "Status",
|
||||
"Update Successful": "Update Successful",
|
||||
"export": ""
|
||||
},
|
||||
"dataset": {
|
||||
"Confirm to delete the data": "Confirm to delete the data?",
|
||||
"Export": "Export",
|
||||
"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",
|
||||
"System Data Queue": "Data Queue"
|
||||
},
|
||||
"file": {
|
||||
"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...",
|
||||
"Ready": "Ready",
|
||||
"Release the mouse to upload the file": "Release the mouse to upload the file",
|
||||
"Select a maximum of 10 files": "Select a maximum of 10 files",
|
||||
"Uploading": "Uploading: {{name}}, Progress: {{percent}}%",
|
||||
"max 10": "Max 10 files",
|
||||
"select a document": "select a document",
|
||||
"support": "support {{fileExtension}} file",
|
||||
"upload error description": "Only upload multiple files or one folder at a time"
|
||||
},
|
||||
"home": {
|
||||
"AI Assistant": "AI Assistant",
|
||||
"AI Assistant Desc": "",
|
||||
"Advanced Settings": "",
|
||||
"Advanced Settings Desc": "",
|
||||
"Choice Debug": "Convenient Debugging",
|
||||
"Choice Debug Desc": "Search testing, reference modification, full conversation preview and many other debugging ways",
|
||||
"Choice Desc": "FastGPT follows the Apache License 2.0 open source protocol",
|
||||
"Choice Extension": "Infinite Extension",
|
||||
"Choice Extension Desc": "HTTP based extension, easy to achieve custom functions",
|
||||
"Choice Fast": "Fast",
|
||||
"Choice Fast Desc": "{{title}} provides out-of-the-box visual actions to build AI applications point-by-point",
|
||||
"Choice Models": "Multiple Models",
|
||||
"Choice Models Desc": "Supports multiple models such as GPT, Claude, Spark, and ChatGLM",
|
||||
"Choice Open": "Open",
|
||||
"Choice Open Desc": "{{title}} follows the Apache License 2.0 open source protocol",
|
||||
"Choice QA": "QA Struceture",
|
||||
"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",
|
||||
"Community": "Community",
|
||||
"Dateset": "",
|
||||
"Dateset Desc": "",
|
||||
"Docs": "Docs",
|
||||
"FastGPT Ability": "{{title}} Ability",
|
||||
"FastGPT Desc": "{{title}} is a knowledgebase question answering system based on LLM large language model, which provides out-of-the-box data processing, model invocation and other capabilities. At the same time, workflow orchestration can be performed through Flow visualization to achieve complex Q&A scenarios!",
|
||||
"Features": "Features",
|
||||
"Footer Developer": "Developer",
|
||||
"Footer Docs": "Docs",
|
||||
"Footer FastGPT Cloud": "{{title}} Cloud",
|
||||
"Footer Feedback": "Feedback",
|
||||
"Footer Git": "Code",
|
||||
"Footer Product": "Product",
|
||||
"Footer Support": "Support",
|
||||
"Login": "Login",
|
||||
"Open": "",
|
||||
"OpenAPI": "OpenAPI",
|
||||
"OpenAPI Desc": "",
|
||||
"Quickly build AI question and answer library": "Quickly build AI question and answer library",
|
||||
"Start Now": "Start Now",
|
||||
"Visual AI orchestration": "Visual AI orchestration",
|
||||
"Why FastGPT": "Why {{title}}",
|
||||
"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",
|
||||
"Chat": "Chat",
|
||||
"Datasets": "DataSets",
|
||||
"Store": "Store",
|
||||
"Tools": "Tools"
|
||||
},
|
||||
"outlink": {
|
||||
"Copy Iframe": "Copy Iframe",
|
||||
"Copy Link": "Copy",
|
||||
"Create Ifrme Window": "Create Iframe Link",
|
||||
"Create Share Window": "Create Share Window",
|
||||
"Delete Link": "Delete",
|
||||
"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": "Detail",
|
||||
"Response Detail tips": "Whether detailed data such as references and full context need to be returned"
|
||||
},
|
||||
"system": {
|
||||
"Help Document": "Document"
|
||||
},
|
||||
"user": {
|
||||
"Account": "Account",
|
||||
"Amount of earnings": "Earnings",
|
||||
"Amount of inviter": "Inviter",
|
||||
"Application Name": "Application Name",
|
||||
"Avatar": "Avatar",
|
||||
"Balance": "Balance",
|
||||
"Bill Detail": "Bill Detail",
|
||||
"Change": "Change",
|
||||
"Copy invite url": "Copy invitation link",
|
||||
"Invite Url": "Invite Url",
|
||||
"Invite url tip": "Friends who register through this link will be permanently bound to you, and you will get a certain balance reward when they recharge. In addition, when friends register with their mobile phone number, you will get 5 yuan reward immediately.",
|
||||
"Notice": "Notice",
|
||||
"Old password is error": "Old password is error",
|
||||
"OpenAI Account Setting": "OpenAI Account Setting",
|
||||
"Password": "Password",
|
||||
"Pay": "Pay",
|
||||
"Personal Information": "Personal",
|
||||
"Promotion": "Promotion",
|
||||
"Promotion Rate": "Promotion Rate",
|
||||
"Promotion Record": "Promotion",
|
||||
"Promotion rate tip": "You will be rewarded with a percentage of the balance when your friends top up",
|
||||
"Recharge Record": "Recharge",
|
||||
"Replace": "Replace",
|
||||
"Set OpenAI Account Failed": "Set OpenAI account failed",
|
||||
"Sign Out": "Sign Out",
|
||||
"Source": "Source",
|
||||
"Time": "Time",
|
||||
"Timezone": "Timezone",
|
||||
"Total Amount": "Total Amount",
|
||||
"Update Password": "Update Password",
|
||||
"Update password failed": "Update password failed",
|
||||
"Update password succseful": "Update password succseful",
|
||||
"Usage Record": "Usage",
|
||||
"promotion": {
|
||||
"pay": "",
|
||||
"register": ""
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,261 +0,0 @@
|
||||
{
|
||||
"App": "应用",
|
||||
"Cancel": "取消",
|
||||
"Confirm": "确认",
|
||||
"Create New": "新建",
|
||||
"Dataset": "知识库",
|
||||
"Export": "导出",
|
||||
"Folder": "文件夹",
|
||||
"Move": "移动",
|
||||
"Name": "名称",
|
||||
"Rename": "重命名",
|
||||
"Running": "运行中",
|
||||
"Select value is empty": "选择的内容为空",
|
||||
"UnKnow": "未知",
|
||||
"Warning": "提示",
|
||||
"app": {
|
||||
"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",
|
||||
"Chat Logs Tips": "日志会记录该应用的在线、分享和 API(需填写 chatId) 对话记录",
|
||||
"Chat logs": "对话日志",
|
||||
"Confirm Del App Tip": "确认删除该应用及其所有聊天记录?",
|
||||
"Confirm Save App Tip": "该应用可能为高级编排模式,保存后将会覆盖高级编排配置,请确认!",
|
||||
"Connection is invalid": "连接无效",
|
||||
"Connection type is different": "连接的类型不一致",
|
||||
"Copy Module Config": "复制配置",
|
||||
"Export Config Successful": "已复制配置,请注意检查是否有重要数据",
|
||||
"Export Configs": "导出配置",
|
||||
"Feedback Count": "用户反馈",
|
||||
"Import Config": "导入配置",
|
||||
"Import Config Failed": "导入配置失败,请确保配置正常!",
|
||||
"Import Configs": "导入配置",
|
||||
"Input Field Settings": "输入字段编辑",
|
||||
"Logs Empty": "还没有日志噢~",
|
||||
"Logs Message Total": "消息总数",
|
||||
"Logs Source": "来源",
|
||||
"Logs Time": "时间",
|
||||
"Logs Title": "标题",
|
||||
"Mark Count": "标注答案数量",
|
||||
"My Apps": "我的应用",
|
||||
"Output Field Settings": "输出字段编辑",
|
||||
"Paste Config": "粘贴配置",
|
||||
"Variable Key Repeat Tip": "变量 key 重复"
|
||||
},
|
||||
"chat": {
|
||||
"Admin Mark Content": "纠正后的回复",
|
||||
"Complete Response": "完整响应",
|
||||
"Confirm to clear history": "确认清空该应用的在线聊天记录?分享和 API 调用的记录不会被清空。",
|
||||
"Confirm to clear share chat histroy": "确认删除所有聊天记录?",
|
||||
"Exit Chat": "退出聊天",
|
||||
"Feedback Close": "关闭反馈",
|
||||
"Feedback Failed": "提交反馈异常",
|
||||
"Feedback Mark": "标注",
|
||||
"Feedback Modal": "结果反馈",
|
||||
"Feedback Modal Tip": "输入你觉得回答不满意的地方",
|
||||
"Feedback Submit": "提交反馈",
|
||||
"Feedback Success": "反馈成功!",
|
||||
"Feedback Update Failed": "更新反馈状态失败",
|
||||
"History": "记录",
|
||||
"Mark": "标注预期回答",
|
||||
"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",
|
||||
"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",
|
||||
"Select Mark Kb Desc": "选择一个知识库存储预期答案",
|
||||
"You need to a chat app": "你需要创建一个应用",
|
||||
"logs": {
|
||||
"api": "API 调用",
|
||||
"online": "在线使用",
|
||||
"share": "外部链接调用",
|
||||
"test": "测试"
|
||||
},
|
||||
"retry": "重新生成"
|
||||
},
|
||||
"common": {
|
||||
"Add": "添加",
|
||||
"Cancel": "取消",
|
||||
"Collect": "收藏",
|
||||
"Copy": "复制",
|
||||
"Copy Successful": "复制成功",
|
||||
"Course": "",
|
||||
"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",
|
||||
"Filed is repeat": "",
|
||||
"Filed is repeated": "字段重复了",
|
||||
"Input": "输入",
|
||||
"Name is empty": "名称不能为空",
|
||||
"Output": "输出",
|
||||
"Password inconsistency": "两次密码不一致",
|
||||
"Rename": "重命名",
|
||||
"Search": "搜索",
|
||||
"Status": "状态",
|
||||
"Update Successful": "更新成功",
|
||||
"export": ""
|
||||
},
|
||||
"dataset": {
|
||||
"Confirm to delete the data": "确认删除该数据?",
|
||||
"Export": "导出",
|
||||
"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",
|
||||
"System Data Queue": "排队长度"
|
||||
},
|
||||
"file": {
|
||||
"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": "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}}%",
|
||||
"max 10": "最多选择 10 个文件",
|
||||
"select a document": "选择文件",
|
||||
"support": "支持 {{fileExtension}} 文件",
|
||||
"upload error description": "单次只支持上传多个文件或者一个文件夹"
|
||||
},
|
||||
"home": {
|
||||
"AI Assistant": "AI 客服",
|
||||
"AI Assistant Desc": "无论对内还是对外,AI 将 24 小时为您的用户提供服务",
|
||||
"Advanced Settings": "高级编排",
|
||||
"Advanced Settings Desc": "基于 Flow 的流程编排模式,让你的 AI 轻松实现数据库查询、IO 操作、联网通信等扩展能力",
|
||||
"Choice Debug": "调试便捷",
|
||||
"Choice Debug Desc": "拥有搜索测试、引用修改、完整对话预览等多种调试途径",
|
||||
"Choice Desc": "",
|
||||
"Choice Extension": "无限扩展",
|
||||
"Choice Extension Desc": "基于 HTTP 实现扩展,轻松实现定制功能",
|
||||
"Choice Fast": "开箱即用",
|
||||
"Choice Fast Desc": "{{title}} 提供开箱即用的可视化操作,点点点即可构建 AI 应用",
|
||||
"Choice Models": "支持多种模型",
|
||||
"Choice Models Desc": "支持 GPT、Claude、Spark、ChatGLM等多模型",
|
||||
"Choice Open": "更开放",
|
||||
"Choice Open Desc": "{{title}} 遵循 Apache License 2.0 开源协议",
|
||||
"Choice QA": "独特的 QA 结构",
|
||||
"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",
|
||||
"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",
|
||||
"Docs": "文档",
|
||||
"FastGPT Ability": "{{title}} 能力",
|
||||
"FastGPT Desc": "{{title}} 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!",
|
||||
"Features": "特点",
|
||||
"Footer Developer": "开发者",
|
||||
"Footer Docs": "文档",
|
||||
"Footer FastGPT Cloud": "{{title}} 线上服务",
|
||||
"Footer Feedback": "反馈",
|
||||
"Footer Git": "源码",
|
||||
"Footer Product": "产品",
|
||||
"Footer Support": "支持",
|
||||
"Login": "登录",
|
||||
"Open": "",
|
||||
"OpenAPI": "OpenAPI",
|
||||
"OpenAPI Desc": "与 GPT API 一致的对外接口,助你轻松接入已有应用",
|
||||
"Quickly build AI question and answer library": "快速搭建 AI 问答系统",
|
||||
"Start Now": "立即开始",
|
||||
"Visual AI orchestration": "可视化 AI 编排",
|
||||
"Why FastGPT": "为什么选择 {{title}}",
|
||||
"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",
|
||||
"Chat": "聊天",
|
||||
"Datasets": "知识库",
|
||||
"Store": "应用市场",
|
||||
"Tools": "工具"
|
||||
},
|
||||
"outlink": {
|
||||
"Copy Iframe": "复制嵌入",
|
||||
"Copy Link": "复制",
|
||||
"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 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": "是否需要返回引用、完整上下文等详细数据"
|
||||
},
|
||||
"system": {
|
||||
"Help Document": "帮助文档"
|
||||
},
|
||||
"user": {
|
||||
"Account": "账号",
|
||||
"Amount of earnings": "收益(¥)",
|
||||
"Amount of inviter": "累计邀请人数",
|
||||
"Application Name": "应用名",
|
||||
"Avatar": "头像",
|
||||
"Balance": "余额",
|
||||
"Bill Detail": "账单详情",
|
||||
"Change": "变更",
|
||||
"Copy invite url": "复制邀请链接",
|
||||
"Invite Url": "邀请链接",
|
||||
"Invite url tip": "通过该链接注册的好友将永久与你绑定,其充值时你会获得一定余额奖励。\n此外,好友使用手机号注册时,你将立即获得 5 元奖励。",
|
||||
"Notice": "通知",
|
||||
"Old password is error": "旧密码错误",
|
||||
"OpenAI Account Setting": "OpenAI 账号配置",
|
||||
"Password": "密码",
|
||||
"Pay": "充值",
|
||||
"Personal Information": "个人信息",
|
||||
"Promotion": "",
|
||||
"Promotion Rate": "返现比例",
|
||||
"Promotion Record": "推广记录",
|
||||
"Promotion rate tip": "好友充值时你将获得一定比例的余额奖励",
|
||||
"Recharge Record": "充值记录",
|
||||
"Replace": "更换",
|
||||
"Set OpenAI Account Failed": "设置 OpenAI 账号异常",
|
||||
"Sign Out": "登出",
|
||||
"Source": "来源",
|
||||
"Time": "时间",
|
||||
"Timezone": "时区",
|
||||
"Total Amount": "总金额",
|
||||
"Update Password": "修改密码",
|
||||
"Update password failed": "修改密码异常",
|
||||
"Update password succseful": "修改密码成功",
|
||||
"Usage Record": "使用记录",
|
||||
"promotion": {
|
||||
"pay": "好友充值",
|
||||
"register": "好友注册"
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,56 +0,0 @@
|
||||
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 type { Props as CreateAppProps } from '@/pages/api/app/create';
|
||||
import { addDays } from 'date-fns';
|
||||
import { GetAppChatLogsParams } from './request/app';
|
||||
|
||||
/**
|
||||
* 获取模型列表
|
||||
*/
|
||||
export const getMyModels = () => GET<AppListItemType[]>('/app/myApps');
|
||||
|
||||
/**
|
||||
* 创建一个模型
|
||||
*/
|
||||
export const postCreateApp = (data: CreateAppProps) => POST<string>('/app/create', data);
|
||||
|
||||
/**
|
||||
* 根据 ID 删除模型
|
||||
*/
|
||||
export const delModelById = (id: string) => DELETE(`/app/del?appId=${id}`);
|
||||
|
||||
/**
|
||||
* 根据 ID 获取模型
|
||||
*/
|
||||
export const getModelById = (id: string) => GET<AppSchema>(`/app/detail?appId=${id}`);
|
||||
|
||||
/**
|
||||
* 根据 ID 更新模型
|
||||
*/
|
||||
export const putAppById = (id: string, data: AppUpdateParams) =>
|
||||
PUT(`/app/update?appId=${id}`, data);
|
||||
|
||||
/* 共享市场 */
|
||||
/**
|
||||
* 获取共享市场模型
|
||||
*/
|
||||
export const getShareModelList = (data: { searchText?: string } & RequestPaging) =>
|
||||
POST(`/app/share/getModels`, data);
|
||||
|
||||
/**
|
||||
* 收藏/取消收藏模型
|
||||
*/
|
||||
export const triggerModelCollection = (appId: string) =>
|
||||
POST<number>(`/app/share/collection?appId=${appId}`);
|
||||
|
||||
// ====================== data
|
||||
export const getAppTotalUsage = (data: { appId: string }) =>
|
||||
POST<{ date: String; total: number }[]>(`/app/data/totalUsage`, {
|
||||
...data,
|
||||
start: addDays(new Date(), -13),
|
||||
end: addDays(new Date(), 1)
|
||||
}).then((res) => (res.length === 0 ? [{ date: new Date(), total: 0 }] : res));
|
||||
|
||||
export const getAppChatLogs = (data: GetAppChatLogsParams) => POST(`/app/getChatLogs`, data);
|
||||
@@ -1,45 +0,0 @@
|
||||
import { GET, POST, DELETE, PUT } from './request';
|
||||
import type { ChatHistoryItemType } from '@/types/chat';
|
||||
import type { InitChatResponse } from './response/chat';
|
||||
import { RequestPaging } from '../types/index';
|
||||
import type { Props as UpdateHistoryProps } from '@/pages/api/chat/history/updateChatHistory';
|
||||
import { AdminUpdateFeedbackParams } from './request/chat';
|
||||
|
||||
/**
|
||||
* 获取初始化聊天内容
|
||||
*/
|
||||
export const getInitChatSiteInfo = (data: { appId: string; chatId?: string }) =>
|
||||
GET<InitChatResponse>(`/chat/init`, data);
|
||||
|
||||
/**
|
||||
* 获取历史记录
|
||||
*/
|
||||
export const getChatHistory = (data: RequestPaging & { appId?: string }) =>
|
||||
POST<ChatHistoryItemType[]>('/chat/history/getHistory', data);
|
||||
|
||||
/**
|
||||
* 删除一条历史记录
|
||||
*/
|
||||
export const delChatHistoryById = (chatId: string) => DELETE(`/chat/removeHistory`, { chatId });
|
||||
/**
|
||||
* clear all history by appid
|
||||
*/
|
||||
export const clearChatHistoryByAppId = (appId: string) => DELETE(`/chat/removeHistory`, { appId });
|
||||
|
||||
/**
|
||||
* 删除一句对话
|
||||
*/
|
||||
export const delChatRecordById = (data: { chatId: string; contentId: string }) =>
|
||||
DELETE(`/chat/delChatRecordByContentId`, data);
|
||||
|
||||
/**
|
||||
* 修改历史记录: 标题/置顶
|
||||
*/
|
||||
export const putChatHistory = (data: UpdateHistoryProps) =>
|
||||
PUT('/chat/history/updateChatHistory', data);
|
||||
|
||||
export const userUpdateChatFeedback = (data: { chatItemId: string; userFeedback?: string }) =>
|
||||
POST('/chat/feedback/userUpdate', data);
|
||||
|
||||
export const adminUpdateChatFeedback = (data: AdminUpdateFeedbackParams) =>
|
||||
POST('/chat/feedback/adminUpdate', data);
|
||||
8
client/src/api/core/dataset/file.d.ts
vendored
@@ -1,8 +0,0 @@
|
||||
import { RequestPaging } from '../../../types/index';
|
||||
|
||||
export type GetFileListProps = RequestPaging & {
|
||||
kbId: string;
|
||||
searchText: string;
|
||||
};
|
||||
|
||||
export type UpdateFileProps = { id: string; name?: string; datasetUsed?: boolean };
|
||||
@@ -1,15 +0,0 @@
|
||||
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);
|
||||
@@ -1,115 +0,0 @@
|
||||
import { sseResponseEventEnum, TaskResponseKeyEnum } from '@/constants/chat';
|
||||
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 '@/utils/user';
|
||||
|
||||
interface StreamFetchProps {
|
||||
url?: string;
|
||||
data: Record<string, any>;
|
||||
onMessage: StartChatFnProps['generatingMessage'];
|
||||
abortSignal: AbortController;
|
||||
}
|
||||
export const streamFetch = ({
|
||||
url = '/api/openapi/v1/chat/completions',
|
||||
data,
|
||||
onMessage,
|
||||
abortSignal
|
||||
}: StreamFetchProps) =>
|
||||
new Promise<{
|
||||
responseText: string;
|
||||
[TaskResponseKeyEnum.responseData]: ChatHistoryItemResType[];
|
||||
}>(async (resolve, reject) => {
|
||||
try {
|
||||
const response = await window.fetch(url, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
token: getToken()
|
||||
},
|
||||
signal: abortSignal.signal,
|
||||
body: JSON.stringify({
|
||||
...data,
|
||||
detail: true,
|
||||
stream: true
|
||||
})
|
||||
});
|
||||
|
||||
if (!response?.body) {
|
||||
throw new Error('Request Error');
|
||||
}
|
||||
|
||||
const reader = response.body?.getReader();
|
||||
|
||||
// response data
|
||||
let responseText = '';
|
||||
let errMsg = '';
|
||||
let responseData: ChatHistoryItemResType[] = [];
|
||||
|
||||
const parseData = new SSEParseData();
|
||||
|
||||
const read = async () => {
|
||||
try {
|
||||
const { done, value } = await reader.read();
|
||||
if (done) {
|
||||
if (response.status === 200 && !errMsg) {
|
||||
return resolve({
|
||||
responseText,
|
||||
responseData
|
||||
});
|
||||
} else {
|
||||
return reject({
|
||||
message: errMsg || '响应过程出现异常~',
|
||||
responseText
|
||||
});
|
||||
}
|
||||
}
|
||||
const chunkResponse = parseStreamChunk(value);
|
||||
|
||||
chunkResponse.forEach((item) => {
|
||||
// parse json data
|
||||
const { eventName, data } = parseData.parse(item);
|
||||
|
||||
if (!eventName || !data) return;
|
||||
|
||||
if (eventName === sseResponseEventEnum.answer && data !== '[DONE]') {
|
||||
const answer: string = data?.choices?.[0]?.delta?.content || '';
|
||||
onMessage({ text: answer });
|
||||
responseText += answer;
|
||||
} else if (
|
||||
eventName === sseResponseEventEnum.moduleStatus &&
|
||||
data?.name &&
|
||||
data?.status
|
||||
) {
|
||||
onMessage(data);
|
||||
} else if (
|
||||
eventName === sseResponseEventEnum.appStreamResponse &&
|
||||
Array.isArray(data)
|
||||
) {
|
||||
responseData = data;
|
||||
} else if (eventName === sseResponseEventEnum.error) {
|
||||
errMsg = getErrText(data, '流响应错误');
|
||||
}
|
||||
});
|
||||
read();
|
||||
} catch (err: any) {
|
||||
if (err?.message === 'The user aborted a request.') {
|
||||
return resolve({
|
||||
responseText,
|
||||
responseData
|
||||
});
|
||||
}
|
||||
reject({
|
||||
responseText,
|
||||
message: getErrText(err, '请求异常')
|
||||
});
|
||||
}
|
||||
};
|
||||
read();
|
||||
} catch (err: any) {
|
||||
console.log(err, 'fetch error');
|
||||
|
||||
reject(getErrText(err, '请求异常'));
|
||||
}
|
||||
});
|
||||
@@ -1,16 +0,0 @@
|
||||
import { GET, POST, DELETE } from './request';
|
||||
import { UserOpenApiKey } from '@/types/openapi';
|
||||
/**
|
||||
* crete a api key
|
||||
*/
|
||||
export const createAOpenApiKey = () => POST<string>('/openapi/postKey');
|
||||
|
||||
/**
|
||||
* get api keys
|
||||
*/
|
||||
export const getOpenApiKeys = () => GET<UserOpenApiKey[]>('/openapi/getKeys');
|
||||
|
||||
/**
|
||||
* delete api by id
|
||||
*/
|
||||
export const delOpenApiById = (id: string) => DELETE(`/openapi/delKey?id=${id}`);
|
||||
@@ -1,6 +0,0 @@
|
||||
import { GET, POST, PUT, DELETE } from '../request';
|
||||
|
||||
import type { FetchResultItem } from '@/types/plugin';
|
||||
|
||||
export const fetchUrls = (urlList: string[]) =>
|
||||
POST<FetchResultItem[]>(`/plugins/urlFetch`, { urlList });
|
||||
@@ -1,93 +0,0 @@
|
||||
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);
|
||||
@@ -1,133 +0,0 @@
|
||||
import axios, {
|
||||
Method,
|
||||
InternalAxiosRequestConfig,
|
||||
AxiosResponse,
|
||||
AxiosProgressEvent
|
||||
} from 'axios';
|
||||
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;
|
||||
}
|
||||
interface ResponseDataType {
|
||||
code: number;
|
||||
message: string;
|
||||
data: any;
|
||||
}
|
||||
|
||||
/**
|
||||
* 请求开始
|
||||
*/
|
||||
function requestStart(config: InternalAxiosRequestConfig): InternalAxiosRequestConfig {
|
||||
if (config.headers) {
|
||||
config.headers.token = getToken();
|
||||
}
|
||||
|
||||
return config;
|
||||
}
|
||||
|
||||
/**
|
||||
* 请求成功,检查请求头
|
||||
*/
|
||||
function responseSuccess(response: AxiosResponse<ResponseDataType>) {
|
||||
return response;
|
||||
}
|
||||
/**
|
||||
* 响应数据检查
|
||||
*/
|
||||
function checkRes(data: ResponseDataType) {
|
||||
if (data === undefined) {
|
||||
console.log('error->', data, 'data is empty');
|
||||
return Promise.reject('服务器异常');
|
||||
} else if (data.code < 200 || data.code >= 400) {
|
||||
return Promise.reject(data);
|
||||
}
|
||||
return data.data;
|
||||
}
|
||||
|
||||
/**
|
||||
* 响应错误
|
||||
*/
|
||||
function responseError(err: any) {
|
||||
console.log('error->', '请求错误', err);
|
||||
|
||||
if (!err) {
|
||||
return Promise.reject({ message: '未知错误' });
|
||||
}
|
||||
if (typeof err === 'string') {
|
||||
return Promise.reject({ message: err });
|
||||
}
|
||||
// 有报错响应
|
||||
if (err?.code in TOKEN_ERROR_CODE) {
|
||||
clearToken();
|
||||
window.location.replace(
|
||||
`/login?lastRoute=${encodeURIComponent(location.pathname + location.search)}`
|
||||
);
|
||||
return Promise.reject({ message: 'token过期,重新登录' });
|
||||
}
|
||||
if (err?.response?.data) {
|
||||
return Promise.reject(err?.response?.data);
|
||||
}
|
||||
return Promise.reject(err);
|
||||
}
|
||||
|
||||
/* 创建请求实例 */
|
||||
const instance = axios.create({
|
||||
timeout: 60000, // 超时时间
|
||||
headers: {
|
||||
'content-type': 'application/json'
|
||||
}
|
||||
});
|
||||
|
||||
/* 请求拦截 */
|
||||
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, config: ConfigType, method: Method): any {
|
||||
/* 去空 */
|
||||
for (const key in data) {
|
||||
if (data[key] === null || data[key] === undefined) {
|
||||
delete data[key];
|
||||
}
|
||||
}
|
||||
|
||||
return instance
|
||||
.request({
|
||||
baseURL: '/api',
|
||||
url,
|
||||
method,
|
||||
data: ['POST', 'PUT'].includes(method) ? data : null,
|
||||
params: !['POST', 'PUT'].includes(method) ? data : null,
|
||||
...config // 用户自定义配置,可以覆盖前面的配置
|
||||
})
|
||||
.then((res) => checkRes(res.data))
|
||||
.catch((err) => responseError(err));
|
||||
}
|
||||
|
||||
/**
|
||||
* api请求方式
|
||||
* @param {String} url
|
||||
* @param {Any} params
|
||||
* @param {Object} config
|
||||
* @returns
|
||||
*/
|
||||
export function GET<T>(url: string, params = {}, config: ConfigType = {}): Promise<T> {
|
||||
return request(url, params, config, 'GET');
|
||||
}
|
||||
|
||||
export function POST<T>(url: string, data = {}, config: ConfigType = {}): Promise<T> {
|
||||
return request(url, data, config, 'POST');
|
||||
}
|
||||
|
||||
export function PUT<T>(url: string, data = {}, config: ConfigType = {}): Promise<T> {
|
||||
return request(url, data, config, 'PUT');
|
||||
}
|
||||
|
||||
export function DELETE<T>(url: string, data = {}, config: ConfigType = {}): Promise<T> {
|
||||
return request(url, data, config, 'DELETE');
|
||||
}
|
||||
6
client/src/api/request/chat.d.ts
vendored
@@ -1,6 +0,0 @@
|
||||
export type AdminUpdateFeedbackParams = {
|
||||
chatItemId: string;
|
||||
kbId: string;
|
||||
dataId: string;
|
||||
content: string;
|
||||
};
|
||||
24
client/src/api/request/kb.d.ts
vendored
@@ -1,24 +0,0 @@
|
||||
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;
|
||||
};
|
||||
6
client/src/api/response/app.d.ts
vendored
@@ -1,6 +0,0 @@
|
||||
import { AppListItemType } from '@/types/app';
|
||||
|
||||
export type AppListResponse = {
|
||||
myApps: AppListItemType[];
|
||||
myCollectionApps: AppListItemType[];
|
||||
};
|
||||
25
client/src/api/response/chat.d.ts
vendored
@@ -1,25 +0,0 @@
|
||||
import type { AppSchema } from '@/types/mongoSchema';
|
||||
import type { ChatItemType } from '@/types/chat';
|
||||
import { VariableItemType } from '@/types/app';
|
||||
|
||||
export interface InitChatResponse {
|
||||
chatId: string;
|
||||
appId: string;
|
||||
app: {
|
||||
variableModules?: VariableItemType[];
|
||||
welcomeText?: string;
|
||||
chatModels?: string[];
|
||||
name: string;
|
||||
avatar: string;
|
||||
intro: string;
|
||||
canUse?: boolean;
|
||||
};
|
||||
title: string;
|
||||
variables: Record<string, any>;
|
||||
history: ChatItemType[];
|
||||
}
|
||||
|
||||
export interface InitShareChatResponse {
|
||||
userAvatar: string;
|
||||
app: InitChatResponse['app'];
|
||||
}
|
||||
13
client/src/api/response/user.d.ts
vendored
@@ -1,13 +0,0 @@
|
||||
import type { UserType } from '@/types/user';
|
||||
import type { PromotionRecordSchema } from '@/types/mongoSchema';
|
||||
export interface ResLogin {
|
||||
user: UserType;
|
||||
token: string;
|
||||
}
|
||||
|
||||
export interface PromotionRecordType {
|
||||
_id: PromotionRecordSchema['_id'];
|
||||
type: PromotionRecordSchema['type'];
|
||||
createTime: PromotionRecordSchema['createTime'];
|
||||
amount: PromotionRecordSchema['amount'];
|
||||
}
|
||||
@@ -1,8 +0,0 @@
|
||||
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);
|
||||
}
|
||||
});
|
||||
@@ -1,120 +0,0 @@
|
||||
import axios, { Method, InternalAxiosRequestConfig, AxiosResponse } from 'axios';
|
||||
|
||||
interface ConfigType {
|
||||
headers?: { [key: string]: string };
|
||||
hold?: boolean;
|
||||
timeout?: number;
|
||||
}
|
||||
interface ResponseDataType {
|
||||
code: number;
|
||||
message: string;
|
||||
data: any;
|
||||
}
|
||||
|
||||
/**
|
||||
* 请求开始
|
||||
*/
|
||||
function requestStart(config: InternalAxiosRequestConfig): InternalAxiosRequestConfig {
|
||||
if (config.headers) {
|
||||
config.headers.rootkey = process.env.ROOT_KEY;
|
||||
}
|
||||
|
||||
return config;
|
||||
}
|
||||
|
||||
/**
|
||||
* 请求成功,检查请求头
|
||||
*/
|
||||
function responseSuccess(response: AxiosResponse<ResponseDataType>) {
|
||||
return response;
|
||||
}
|
||||
/**
|
||||
* 响应数据检查
|
||||
*/
|
||||
function checkRes(data: ResponseDataType) {
|
||||
if (data === undefined) {
|
||||
console.log('error->', data, 'data is empty');
|
||||
return Promise.reject('服务器异常');
|
||||
} else if (data?.code && (data.code < 200 || data.code >= 400)) {
|
||||
return Promise.reject(data);
|
||||
}
|
||||
return data.data;
|
||||
}
|
||||
|
||||
/**
|
||||
* 响应错误
|
||||
*/
|
||||
function responseError(err: any) {
|
||||
if (!err) {
|
||||
return Promise.reject({ message: '未知错误' });
|
||||
}
|
||||
if (typeof err === 'string') {
|
||||
return Promise.reject({ message: err });
|
||||
}
|
||||
|
||||
if (err?.response?.data) {
|
||||
return Promise.reject(err?.response?.data);
|
||||
}
|
||||
return Promise.reject(err);
|
||||
}
|
||||
|
||||
/* 创建请求实例 */
|
||||
const instance = axios.create({
|
||||
timeout: 60000, // 超时时间
|
||||
headers: {
|
||||
'content-type': 'application/json'
|
||||
}
|
||||
});
|
||||
|
||||
/* 请求拦截 */
|
||||
instance.interceptors.request.use(requestStart, (err) => Promise.reject(err));
|
||||
/* 响应拦截 */
|
||||
instance.interceptors.response.use(responseSuccess, (err) => Promise.reject(err));
|
||||
|
||||
export function request(url: string, data: any, config: ConfigType, method: Method): any {
|
||||
if (!global.systemEnv?.pluginBaseUrl) {
|
||||
return Promise.reject('商业版插件加载中...');
|
||||
}
|
||||
|
||||
/* 去空 */
|
||||
for (const key in data) {
|
||||
if (data[key] === null || data[key] === undefined) {
|
||||
delete data[key];
|
||||
}
|
||||
}
|
||||
|
||||
return instance
|
||||
.request({
|
||||
baseURL: global.systemEnv.pluginBaseUrl,
|
||||
url,
|
||||
method,
|
||||
data: ['POST', 'PUT'].includes(method) ? data : null,
|
||||
params: !['POST', 'PUT'].includes(method) ? data : null,
|
||||
...config // 用户自定义配置,可以覆盖前面的配置
|
||||
})
|
||||
.then((res) => checkRes(res.data))
|
||||
.catch((err) => responseError(err));
|
||||
}
|
||||
|
||||
/**
|
||||
* api请求方式
|
||||
* @param {String} url
|
||||
* @param {Any} params
|
||||
* @param {Object} config
|
||||
* @returns
|
||||
*/
|
||||
export function GET<T>(url: string, params = {}, config: ConfigType = {}): Promise<T> {
|
||||
return request(url, params, config, 'GET');
|
||||
}
|
||||
|
||||
export function POST<T>(url: string, data = {}, config: ConfigType = {}): Promise<T> {
|
||||
return request(url, data, config, 'POST');
|
||||
}
|
||||
|
||||
export function PUT<T>(url: string, data = {}, config: ConfigType = {}): Promise<T> {
|
||||
return request(url, data, config, 'PUT');
|
||||
}
|
||||
|
||||
export function DELETE<T>(url: string, data = {}, config: ConfigType = {}): Promise<T> {
|
||||
return request(url, data, config, 'DELETE');
|
||||
}
|
||||
@@ -1,18 +0,0 @@
|
||||
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 });
|
||||
@@ -1,34 +0,0 @@
|
||||
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';
|
||||
|
||||
/**
|
||||
* 初始化分享聊天
|
||||
*/
|
||||
export const initShareChatInfo = (data: { shareId: string }) =>
|
||||
GET<InitShareChatResponse>(`/support/outLink/init`, data);
|
||||
|
||||
/**
|
||||
* create a shareChat
|
||||
*/
|
||||
export const createShareChat = (
|
||||
data: OutLinkEditType & {
|
||||
appId: string;
|
||||
type: OutLinkSchema['type'];
|
||||
}
|
||||
) => POST<string>(`/support/outLink/create`, data);
|
||||
|
||||
export const putShareChat = (data: OutLinkEditType) =>
|
||||
POST<string>(`/support/outLink/update`, data);
|
||||
|
||||
/**
|
||||
* get shareChat
|
||||
*/
|
||||
export const getShareChatList = (appId: string) =>
|
||||
GET<OutLinkSchema[]>(`/support/outLink/list`, { appId });
|
||||
|
||||
/**
|
||||
* delete a shareChat
|
||||
*/
|
||||
export const delShareChatById = (id: string) => DELETE(`/support/outLink/delete?id=${id}`);
|
||||
@@ -1,4 +0,0 @@
|
||||
import { GET, POST, PUT } from './request';
|
||||
import type { InitDateResponse } from '@/pages/api/system/getInitData';
|
||||
|
||||
export const getInitData = () => GET<InitDateResponse>('/system/getInitData');
|
||||
@@ -1,107 +0,0 @@
|
||||
import { GET, POST, PUT } from './request';
|
||||
import { createHashPassword } from '@/utils/tools';
|
||||
import type { ResLogin, PromotionRecordType } from './response/user';
|
||||
import { UserAuthTypeEnum } from '@/constants/common';
|
||||
import { UserBillType, UserType, UserUpdateParams } from '@/types/user';
|
||||
import type { PagingData, RequestPaging } from '@/types';
|
||||
import { informSchema, PaySchema } from '@/types/mongoSchema';
|
||||
import { OAuthEnum } from '@/constants/user';
|
||||
|
||||
export const sendAuthCode = (data: {
|
||||
username: string;
|
||||
type: `${UserAuthTypeEnum}`;
|
||||
googleToken: string;
|
||||
}) => POST(`/plusApi/user/inform/sendAuthCode`, data);
|
||||
|
||||
export const getTokenLogin = () => GET<UserType>('/user/account/tokenLogin');
|
||||
export const oauthLogin = (params: {
|
||||
type: `${OAuthEnum}`;
|
||||
code: string;
|
||||
callbackUrl: string;
|
||||
inviterId?: string;
|
||||
}) => POST<ResLogin>('/plusApi/user/account/login/oauth', params);
|
||||
|
||||
export const postRegister = ({
|
||||
username,
|
||||
password,
|
||||
code,
|
||||
inviterId
|
||||
}: {
|
||||
username: string;
|
||||
code: string;
|
||||
password: string;
|
||||
inviterId?: string;
|
||||
}) =>
|
||||
POST<ResLogin>(`/plusApi/user/account/register/emailAndPhone`, {
|
||||
username,
|
||||
code,
|
||||
inviterId,
|
||||
password: createHashPassword(password)
|
||||
});
|
||||
|
||||
export const postFindPassword = ({
|
||||
username,
|
||||
code,
|
||||
password
|
||||
}: {
|
||||
username: string;
|
||||
code: string;
|
||||
password: string;
|
||||
}) =>
|
||||
POST<ResLogin>(`/plusApi/user/account/password/updateByCode`, {
|
||||
username,
|
||||
code,
|
||||
password: createHashPassword(password)
|
||||
});
|
||||
|
||||
export const updatePasswordByOld = ({ oldPsw, newPsw }: { oldPsw: string; newPsw: string }) =>
|
||||
POST('/user/account/updatePasswordByOld', {
|
||||
oldPsw: createHashPassword(oldPsw),
|
||||
newPsw: createHashPassword(newPsw)
|
||||
});
|
||||
|
||||
export const postLogin = ({ username, password }: { username: string; password: string }) =>
|
||||
POST<ResLogin>('/user/account/loginByPassword', {
|
||||
username,
|
||||
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);
|
||||
|
||||
export const getUnreadCount = () => GET<number>(`/user/inform/countUnread`);
|
||||
export const readInform = (id: string) => GET(`/user/inform/read`, { id });
|
||||
|
||||
/* get promotion init data */
|
||||
export const getPromotionInitData = () =>
|
||||
GET<{
|
||||
invitedAmount: number;
|
||||
earningsAmount: number;
|
||||
}>('/user/promotion/getPromotionData');
|
||||
|
||||
/* promotion records */
|
||||
export const getPromotionRecords = (data: RequestPaging) =>
|
||||
POST<PromotionRecordType>(`/user/promotion/getPromotions`, data);
|
||||
@@ -1,143 +0,0 @@
|
||||
import React, { useState } from 'react';
|
||||
import {
|
||||
Box,
|
||||
Button,
|
||||
Flex,
|
||||
ModalFooter,
|
||||
ModalBody,
|
||||
Table,
|
||||
Thead,
|
||||
Tbody,
|
||||
Tr,
|
||||
Th,
|
||||
Td,
|
||||
TableContainer,
|
||||
IconButton
|
||||
} from '@chakra-ui/react';
|
||||
import { getOpenApiKeys, createAOpenApiKey, delOpenApiById } from '@/api/openapi';
|
||||
import { useQuery, useMutation } from '@tanstack/react-query';
|
||||
import { useLoading } from '@/hooks/useLoading';
|
||||
import dayjs from 'dayjs';
|
||||
import { AddIcon, DeleteIcon } from '@chakra-ui/icons';
|
||||
import { getErrText, useCopyData } from '@/utils/tools';
|
||||
import { useToast } from '@/hooks/useToast';
|
||||
import MyIcon from '../Icon';
|
||||
import MyModal from '../MyModal';
|
||||
|
||||
const APIKeyModal = ({ onClose }: { onClose: () => void }) => {
|
||||
const { Loading } = useLoading();
|
||||
const { toast } = useToast();
|
||||
const {
|
||||
data: apiKeys = [],
|
||||
isLoading: isGetting,
|
||||
refetch
|
||||
} = useQuery(['getOpenApiKeys'], getOpenApiKeys);
|
||||
const [apiKey, setApiKey] = useState('');
|
||||
const { copyData } = useCopyData();
|
||||
|
||||
const { mutate: onclickCreateApiKey, isLoading: isCreating } = useMutation({
|
||||
mutationFn: () => createAOpenApiKey(),
|
||||
onSuccess(res) {
|
||||
setApiKey(res);
|
||||
refetch();
|
||||
},
|
||||
onError(err) {
|
||||
toast({
|
||||
status: 'warning',
|
||||
title: getErrText(err)
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
const { mutate: onclickRemove, isLoading: isDeleting } = useMutation({
|
||||
mutationFn: async (id: string) => delOpenApiById(id),
|
||||
onSuccess() {
|
||||
refetch();
|
||||
}
|
||||
});
|
||||
|
||||
return (
|
||||
<MyModal isOpen onClose={onClose} w={'600px'}>
|
||||
<Box py={3} px={5}>
|
||||
<Box fontWeight={'bold'} fontSize={'2xl'}>
|
||||
API 秘钥管理
|
||||
</Box>
|
||||
<Box fontSize={'sm'} color={'myGray.600'}>
|
||||
如果你不想 API 秘钥被滥用,请勿将秘钥直接放置在前端使用~
|
||||
</Box>
|
||||
</Box>
|
||||
<ModalBody minH={'300px'} maxH={['70vh', '500px']} overflow={'overlay'}>
|
||||
<TableContainer mt={2} position={'relative'}>
|
||||
<Table>
|
||||
<Thead>
|
||||
<Tr>
|
||||
<Th>Api Key</Th>
|
||||
<Th>创建时间</Th>
|
||||
<Th>最后一次使用时间</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()}
|
||||
>
|
||||
新建秘钥
|
||||
</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'}>
|
||||
新的 API 秘钥
|
||||
</Box>
|
||||
<Box fontSize={'sm'} color={'myGray.600'}>
|
||||
请保管好你的秘钥,秘钥不会再次展示~
|
||||
</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('')}>
|
||||
好的
|
||||
</Button>
|
||||
</ModalFooter>
|
||||
</MyModal>
|
||||
</MyModal>
|
||||
);
|
||||
};
|
||||
|
||||
export default APIKeyModal;
|
||||
@@ -1,22 +0,0 @@
|
||||
import React from 'react';
|
||||
import { Image } from '@chakra-ui/react';
|
||||
import type { ImageProps } from '@chakra-ui/react';
|
||||
import { LOGO_ICON } from '@/constants/chat';
|
||||
|
||||
const Avatar = ({ w = '30px', ...props }: ImageProps) => {
|
||||
return (
|
||||
<Image
|
||||
fallbackSrc={LOGO_ICON}
|
||||
fallbackStrategy={'onError'}
|
||||
borderRadius={'md'}
|
||||
objectFit={'contain'}
|
||||
alt=""
|
||||
w={w}
|
||||
h={w}
|
||||
p={'1px'}
|
||||
{...props}
|
||||
/>
|
||||
);
|
||||
};
|
||||
|
||||
export default Avatar;
|
||||
@@ -1,42 +0,0 @@
|
||||
import React from 'react';
|
||||
import { Box } from '@chakra-ui/react';
|
||||
|
||||
const Badge = ({
|
||||
children,
|
||||
isDot = false,
|
||||
max = 99,
|
||||
count = 0
|
||||
}: {
|
||||
children: React.ReactNode;
|
||||
isDot?: boolean;
|
||||
max?: number;
|
||||
count?: number;
|
||||
}) => {
|
||||
return (
|
||||
<Box position={'relative'}>
|
||||
{children}
|
||||
{count > 0 && (
|
||||
<Box position={'absolute'} right={0} top={0} transform={'translate(70%,-50%)'}>
|
||||
{isDot ? (
|
||||
<Box w={'5px'} h={'5px'} bg={'myRead.600'} borderRadius={'20px'}></Box>
|
||||
) : (
|
||||
<Box
|
||||
color={'white'}
|
||||
bg={'myRead.600'}
|
||||
lineHeight={0.9}
|
||||
borderRadius={'100px'}
|
||||
px={'4px'}
|
||||
py={'2px'}
|
||||
fontSize={'12px'}
|
||||
border={'1px solid white'}
|
||||
>
|
||||
{count > max ? `${max}+` : count}
|
||||
</Box>
|
||||
)}
|
||||
</Box>
|
||||
)}
|
||||
</Box>
|
||||
);
|
||||
};
|
||||
|
||||
export default Badge;
|
||||
@@ -1,49 +0,0 @@
|
||||
import React from 'react';
|
||||
import { ModalBody, Box, useTheme } from '@chakra-ui/react';
|
||||
import { ChatItemType } from '@/types/chat';
|
||||
import MyModal from '../MyModal';
|
||||
|
||||
const ContextModal = ({
|
||||
context = [],
|
||||
onClose
|
||||
}: {
|
||||
context: ChatItemType[];
|
||||
onClose: () => void;
|
||||
}) => {
|
||||
const theme = useTheme();
|
||||
|
||||
return (
|
||||
<MyModal
|
||||
isOpen={true}
|
||||
onClose={onClose}
|
||||
title={`完整对话记录(${context.length}条)`}
|
||||
h={['90vh', '80vh']}
|
||||
minW={['90vw', '600px']}
|
||||
isCentered
|
||||
>
|
||||
<ModalBody
|
||||
pt={0}
|
||||
whiteSpace={'pre-wrap'}
|
||||
textAlign={'justify'}
|
||||
wordBreak={'break-all'}
|
||||
fontSize={'sm'}
|
||||
>
|
||||
{context.map((item, i) => (
|
||||
<Box
|
||||
key={i}
|
||||
p={2}
|
||||
borderRadius={'lg'}
|
||||
border={theme.borders.base}
|
||||
_notLast={{ mb: 2 }}
|
||||
position={'relative'}
|
||||
>
|
||||
<Box fontWeight={'bold'}>{item.obj}</Box>
|
||||
<Box>{item.value}</Box>
|
||||
</Box>
|
||||
))}
|
||||
</ModalBody>
|
||||
</MyModal>
|
||||
);
|
||||
};
|
||||
|
||||
export default ContextModal;
|
||||
@@ -1,56 +0,0 @@
|
||||
import React, { useRef } from 'react';
|
||||
import { ModalBody, Textarea, ModalFooter, Button } from '@chakra-ui/react';
|
||||
import MyModal from '../MyModal';
|
||||
import { useRequest } from '@/hooks/useRequest';
|
||||
import { useTranslation } from 'next-i18next';
|
||||
import { userUpdateChatFeedback } from '@/api/chat';
|
||||
|
||||
const FeedbackModal = ({
|
||||
chatItemId,
|
||||
onSuccess,
|
||||
onClose
|
||||
}: {
|
||||
chatItemId: string;
|
||||
onSuccess: (e: string) => void;
|
||||
onClose: () => void;
|
||||
}) => {
|
||||
const ref = useRef<HTMLTextAreaElement>(null);
|
||||
const { t } = useTranslation();
|
||||
|
||||
const { mutate, isLoading } = useRequest({
|
||||
mutationFn: async () => {
|
||||
const val = ref.current?.value || 'N/A';
|
||||
return userUpdateChatFeedback({
|
||||
chatItemId,
|
||||
userFeedback: val
|
||||
});
|
||||
},
|
||||
onSuccess() {
|
||||
onSuccess(ref.current?.value || 'N/A');
|
||||
},
|
||||
successToast: t('chat.Feedback Success'),
|
||||
errorToast: t('chat.Feedback Failed')
|
||||
});
|
||||
|
||||
return (
|
||||
<MyModal isOpen={true} onClose={onClose} title={t('chat.Feedback Modal')}>
|
||||
<ModalBody>
|
||||
<Textarea
|
||||
ref={ref}
|
||||
rows={10}
|
||||
placeholder={t('chat.Feedback Modal Tip') || 'chat.Feedback Modal Tip'}
|
||||
/>
|
||||
</ModalBody>
|
||||
<ModalFooter>
|
||||
<Button variant={'base'} mr={2} onClick={onClose}>
|
||||
{t('Cancel')}
|
||||
</Button>
|
||||
<Button isLoading={isLoading} onClick={mutate}>
|
||||
{t('chat.Feedback Submit')}
|
||||
</Button>
|
||||
</ModalFooter>
|
||||
</MyModal>
|
||||
);
|
||||
};
|
||||
|
||||
export default FeedbackModal;
|
||||
@@ -1,151 +0,0 @@
|
||||
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={
|
||||
<>
|
||||
知识库引用({rawSearch.length}条)
|
||||
<Box fontSize={['xs', 'sm']} fontWeight={'normal'}>
|
||||
注意: 修改知识库内容成功后,此处不会显示变更情况。点击编辑后,会显示知识库最新的内容。
|
||||
</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;
|
||||
@@ -1,55 +0,0 @@
|
||||
import React from 'react';
|
||||
import { ModalBody, ModalFooter, Button } from '@chakra-ui/react';
|
||||
import MyModal from '../MyModal';
|
||||
import { useRequest } from '@/hooks/useRequest';
|
||||
import { useTranslation } from 'next-i18next';
|
||||
import { userUpdateChatFeedback } from '@/api/chat';
|
||||
|
||||
const ReadFeedbackModal = ({
|
||||
chatItemId,
|
||||
content,
|
||||
isMarked,
|
||||
onMark,
|
||||
onSuccess,
|
||||
onClose
|
||||
}: {
|
||||
chatItemId: string;
|
||||
content: string;
|
||||
isMarked: boolean;
|
||||
onMark: () => void;
|
||||
onSuccess: () => void;
|
||||
onClose: () => void;
|
||||
}) => {
|
||||
const { t } = useTranslation();
|
||||
|
||||
const { mutate, isLoading } = useRequest({
|
||||
mutationFn: async () => {
|
||||
return userUpdateChatFeedback({
|
||||
chatItemId,
|
||||
userFeedback: undefined
|
||||
});
|
||||
},
|
||||
onSuccess() {
|
||||
onSuccess();
|
||||
},
|
||||
errorToast: t('chat.Feedback Update Failed')
|
||||
});
|
||||
|
||||
return (
|
||||
<MyModal isOpen={true} onClose={onClose} title={t('chat.Feedback Modal')}>
|
||||
<ModalBody>{content}</ModalBody>
|
||||
<ModalFooter>
|
||||
{!isMarked && (
|
||||
<Button variant={'base'} mr={2} onClick={onMark}>
|
||||
{t('chat.Feedback Mark')}
|
||||
</Button>
|
||||
)}
|
||||
<Button isLoading={isLoading} onClick={mutate}>
|
||||
{t('chat.Feedback Close')}
|
||||
</Button>
|
||||
</ModalFooter>
|
||||
</MyModal>
|
||||
);
|
||||
};
|
||||
|
||||
export default React.memo(ReadFeedbackModal);
|
||||
@@ -1,108 +0,0 @@
|
||||
import React, { useCallback, useMemo, useState } from 'react';
|
||||
import { ChatModuleEnum } from '@/constants/chat';
|
||||
import { ChatHistoryItemResType, ChatItemType, QuoteItemType } from '@/types/chat';
|
||||
import { Flex, BoxProps, useDisclosure } from '@chakra-ui/react';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
import { useGlobalStore } from '@/store/global';
|
||||
import dynamic from 'next/dynamic';
|
||||
import Tag from '../Tag';
|
||||
import MyTooltip from '../MyTooltip';
|
||||
const QuoteModal = dynamic(() => import('./QuoteModal'), { ssr: false });
|
||||
const ContextModal = dynamic(() => import('./ContextModal'), { ssr: false });
|
||||
const WholeResponseModal = dynamic(() => import('./WholeResponseModal'), { ssr: false });
|
||||
|
||||
const ResponseTags = ({
|
||||
chatId,
|
||||
contentId,
|
||||
responseData = []
|
||||
}: {
|
||||
chatId?: string;
|
||||
contentId?: string;
|
||||
responseData?: ChatHistoryItemResType[];
|
||||
}) => {
|
||||
const { isPc } = useGlobalStore();
|
||||
const { t } = useTranslation();
|
||||
const [quoteModalData, setQuoteModalData] = useState<QuoteItemType[]>();
|
||||
const [contextModalData, setContextModalData] = useState<ChatItemType[]>();
|
||||
const {
|
||||
isOpen: isOpenWholeModal,
|
||||
onOpen: onOpenWholeModal,
|
||||
onClose: onCloseWholeModal
|
||||
} = useDisclosure();
|
||||
|
||||
const {
|
||||
quoteList = [],
|
||||
completeMessages = [],
|
||||
tokens = 0
|
||||
} = useMemo(() => {
|
||||
const chatData = responseData.find((item) => item.moduleName === ChatModuleEnum.AIChat);
|
||||
if (!chatData) return {};
|
||||
return {
|
||||
quoteList: chatData.quoteList,
|
||||
completeMessages: chatData.completeMessages,
|
||||
tokens: responseData.reduce((sum, item) => sum + (item.tokens || 0), 0)
|
||||
};
|
||||
}, [responseData]);
|
||||
|
||||
const updateQuote = useCallback(async (quoteId: string, sourceText?: string) => {}, []);
|
||||
|
||||
const TagStyles: BoxProps = {
|
||||
mr: 2,
|
||||
bg: 'transparent'
|
||||
};
|
||||
|
||||
return responseData.length === 0 ? null : (
|
||||
<Flex alignItems={'center'} mt={2} flexWrap={'wrap'}>
|
||||
{quoteList.length > 0 && (
|
||||
<MyTooltip label="查看引用">
|
||||
<Tag
|
||||
colorSchema="blue"
|
||||
cursor={'pointer'}
|
||||
{...TagStyles}
|
||||
onClick={() => setQuoteModalData(quoteList)}
|
||||
>
|
||||
{quoteList.length}条引用
|
||||
</Tag>
|
||||
</MyTooltip>
|
||||
)}
|
||||
{completeMessages.length > 0 && (
|
||||
<MyTooltip label={'点击查看完整对话记录'}>
|
||||
<Tag
|
||||
colorSchema="green"
|
||||
cursor={'pointer'}
|
||||
{...TagStyles}
|
||||
onClick={() => setContextModalData(completeMessages)}
|
||||
>
|
||||
{completeMessages.length}条上下文
|
||||
</Tag>
|
||||
</MyTooltip>
|
||||
)}
|
||||
{isPc && tokens > 0 && (
|
||||
<Tag colorSchema="purple" cursor={'default'} {...TagStyles}>
|
||||
{tokens}Tokens
|
||||
</Tag>
|
||||
)}
|
||||
<MyTooltip label={'点击查看完整响应值'}>
|
||||
<Tag colorSchema="gray" cursor={'pointer'} {...TagStyles} onClick={onOpenWholeModal}>
|
||||
{t('chat.Complete Response')}
|
||||
</Tag>
|
||||
</MyTooltip>
|
||||
|
||||
{!!quoteModalData && (
|
||||
<QuoteModal
|
||||
rawSearch={quoteModalData}
|
||||
onUpdateQuote={updateQuote}
|
||||
onClose={() => setQuoteModalData(undefined)}
|
||||
/>
|
||||
)}
|
||||
{!!contextModalData && (
|
||||
<ContextModal context={contextModalData} onClose={() => setContextModalData(undefined)} />
|
||||
)}
|
||||
{isOpenWholeModal && (
|
||||
<WholeResponseModal response={responseData} onClose={onCloseWholeModal} />
|
||||
)}
|
||||
</Flex>
|
||||
);
|
||||
};
|
||||
|
||||
export default ResponseTags;
|
||||
@@ -1,117 +0,0 @@
|
||||
import React, { useRef, useState } from 'react';
|
||||
import {
|
||||
ModalBody,
|
||||
useTheme,
|
||||
ModalFooter,
|
||||
Button,
|
||||
ModalHeader,
|
||||
Box,
|
||||
Card,
|
||||
Flex
|
||||
} from '@chakra-ui/react';
|
||||
import MyModal from '../MyModal';
|
||||
import { useTranslation } from 'next-i18next';
|
||||
import { useQuery } from '@tanstack/react-query';
|
||||
import { useDatasetStore } from '@/store/dataset';
|
||||
import { useToast } from '@/hooks/useToast';
|
||||
import Avatar from '../Avatar';
|
||||
import MyIcon from '@/components/Icon';
|
||||
import { useGlobalStore } from '@/store/global';
|
||||
|
||||
const SelectDataset = ({
|
||||
onSuccess,
|
||||
onClose
|
||||
}: {
|
||||
onSuccess: (kbId: string) => void;
|
||||
onClose: () => void;
|
||||
}) => {
|
||||
const { t } = useTranslation();
|
||||
const theme = useTheme();
|
||||
const { isPc } = useGlobalStore();
|
||||
const { toast } = useToast();
|
||||
const { myKbList, loadKbList } = useDatasetStore();
|
||||
const [selectedId, setSelectedId] = useState<string>();
|
||||
|
||||
useQuery(['loadKbList'], () => loadKbList());
|
||||
|
||||
return (
|
||||
<MyModal isOpen={true} onClose={onClose} w={'100%'} maxW={['90vw', '900px']} isCentered={!isPc}>
|
||||
<Flex flexDirection={'column'} h={['90vh', 'auto']}>
|
||||
<ModalHeader>
|
||||
<Box>{t('chat.Select Mark Kb')}</Box>
|
||||
<Box fontSize={'sm'} color={'myGray.500'} fontWeight={'normal'}>
|
||||
{t('chat.Select Mark Kb Desc')}
|
||||
</Box>
|
||||
</ModalHeader>
|
||||
<ModalBody
|
||||
flex={['1 0 0', '0 0 auto']}
|
||||
maxH={'80vh'}
|
||||
overflowY={'auto'}
|
||||
display={'grid'}
|
||||
gridTemplateColumns={['repeat(1,1fr)', 'repeat(2,1fr)', 'repeat(3,1fr)']}
|
||||
gridGap={3}
|
||||
userSelect={'none'}
|
||||
>
|
||||
{myKbList.map((item) =>
|
||||
(() => {
|
||||
const selected = selectedId === item._id;
|
||||
return (
|
||||
<Card
|
||||
key={item._id}
|
||||
p={3}
|
||||
border={theme.borders.base}
|
||||
boxShadow={'sm'}
|
||||
h={'80px'}
|
||||
cursor={'pointer'}
|
||||
_hover={{
|
||||
boxShadow: 'md'
|
||||
}}
|
||||
{...(selected
|
||||
? {
|
||||
bg: 'myBlue.300'
|
||||
}
|
||||
: {})}
|
||||
onClick={() => {
|
||||
setSelectedId(item._id);
|
||||
}}
|
||||
>
|
||||
<Flex alignItems={'center'} h={'38px'}>
|
||||
<Avatar src={item.avatar} w={['24px', '28px', '32px']}></Avatar>
|
||||
<Box ml={3} fontWeight={'bold'} fontSize={['md', 'lg', 'xl']}>
|
||||
{item.name}
|
||||
</Box>
|
||||
</Flex>
|
||||
<Flex justifyContent={'flex-end'} alignItems={'center'} fontSize={'sm'}>
|
||||
<MyIcon mr={1} name="kbTest" w={'12px'} />
|
||||
<Box color={'myGray.500'}>{item.vectorModel.name}</Box>
|
||||
</Flex>
|
||||
</Card>
|
||||
);
|
||||
})()
|
||||
)}
|
||||
</ModalBody>
|
||||
<ModalFooter>
|
||||
<Button variant={'base'} mr={2} onClick={onClose}>
|
||||
{t('Cancel')}
|
||||
</Button>
|
||||
<Button
|
||||
onClick={() => {
|
||||
if (!selectedId) {
|
||||
return toast({
|
||||
status: 'warning',
|
||||
title: t('Select value is empty')
|
||||
});
|
||||
}
|
||||
|
||||
onSuccess(selectedId);
|
||||
}}
|
||||
>
|
||||
{t('Confirm')}
|
||||
</Button>
|
||||
</ModalFooter>
|
||||
</Flex>
|
||||
</MyModal>
|
||||
);
|
||||
};
|
||||
|
||||
export default SelectDataset;
|
||||
@@ -1,71 +0,0 @@
|
||||
import React, { useMemo } from 'react';
|
||||
import { Box, ModalBody, useTheme, Flex } from '@chakra-ui/react';
|
||||
import type { ChatHistoryItemResType } from '@/types/chat';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
|
||||
import MyModal from '../MyModal';
|
||||
import MyTooltip from '../MyTooltip';
|
||||
import { QuestionOutlineIcon } from '@chakra-ui/icons';
|
||||
|
||||
const ResponseModal = ({
|
||||
response,
|
||||
onClose
|
||||
}: {
|
||||
response: ChatHistoryItemResType[];
|
||||
onClose: () => void;
|
||||
}) => {
|
||||
const { t } = useTranslation();
|
||||
const theme = useTheme();
|
||||
|
||||
const formatResponse = useMemo(
|
||||
() =>
|
||||
response.map((item) => {
|
||||
const copy = { ...item };
|
||||
delete copy.completeMessages;
|
||||
delete copy.quoteList;
|
||||
return copy;
|
||||
}),
|
||||
[response]
|
||||
);
|
||||
|
||||
return (
|
||||
<MyModal
|
||||
isOpen={true}
|
||||
onClose={onClose}
|
||||
h={['90vh', '80vh']}
|
||||
minW={['90vw', '600px']}
|
||||
title={
|
||||
<Flex alignItems={'center'}>
|
||||
{t('chat.Complete Response')}
|
||||
<MyTooltip
|
||||
label={
|
||||
'moduleName: 模型名\nprice: 价格,倍率:100000\nmodel?: 模型名\ntokens?: token 消耗\n\nanswer?: 回答内容\nquestion?: 问题\ntemperature?: 温度\nmaxToken?: 最大 tokens\n\nsimilarity?: 相似度\nlimit?: 单次搜索结果\n\ncqList?: 问题分类列表\ncqResult?: 分类结果\n\nextractDescription?: 内容提取描述\nextractResult?: 提取结果'
|
||||
}
|
||||
>
|
||||
<QuestionOutlineIcon ml={2} />
|
||||
</MyTooltip>
|
||||
</Flex>
|
||||
}
|
||||
isCentered
|
||||
>
|
||||
<ModalBody>
|
||||
{formatResponse.map((item, i) => (
|
||||
<Box
|
||||
key={i}
|
||||
p={2}
|
||||
pt={[0, 2]}
|
||||
borderRadius={'lg'}
|
||||
border={theme.borders.base}
|
||||
_notLast={{ mb: 2 }}
|
||||
position={'relative'}
|
||||
whiteSpace={'pre-wrap'}
|
||||
>
|
||||
{JSON.stringify(item, null, 2)}
|
||||
</Box>
|
||||
))}
|
||||
</ModalBody>
|
||||
</MyModal>
|
||||
);
|
||||
};
|
||||
|
||||
export default ResponseModal;
|
||||
@@ -1,43 +0,0 @@
|
||||
.stopIcon {
|
||||
animation: zoomStopIcon 0.4s infinite alternate;
|
||||
}
|
||||
@keyframes zoomStopIcon {
|
||||
0% {
|
||||
transform: scale(0.8);
|
||||
}
|
||||
100% {
|
||||
transform: scale(1.2);
|
||||
}
|
||||
}
|
||||
|
||||
.newChat {
|
||||
.modelListContainer {
|
||||
height: 0;
|
||||
overflow: hidden;
|
||||
}
|
||||
.modelList {
|
||||
border-radius: 6px;
|
||||
}
|
||||
&:hover {
|
||||
.modelListContainer {
|
||||
height: 60vh;
|
||||
}
|
||||
.modelList {
|
||||
box-shadow: 0 0 5px rgba($color: #000000, $alpha: 0.05);
|
||||
border: 1px solid #dee0e2;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.statusAnimation {
|
||||
animation: statusBox 0.8s linear infinite alternate;
|
||||
}
|
||||
@keyframes statusBox {
|
||||
0% {
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
100% {
|
||||
opacity: 0.11;
|
||||
}
|
||||
}
|
||||
@@ -1,29 +0,0 @@
|
||||
import { SystemInputEnum } from '@/constants/app';
|
||||
import { FlowModuleTypeEnum } from '@/constants/flow';
|
||||
import { getChatModel } from '@/service/utils/data';
|
||||
import { AppModuleItemType, VariableItemType } from '@/types/app';
|
||||
|
||||
export const getSpecialModule = (modules: AppModuleItemType[]) => {
|
||||
const welcomeText: string =
|
||||
modules
|
||||
.find((item) => item.flowType === FlowModuleTypeEnum.userGuide)
|
||||
?.inputs?.find((item) => item.key === SystemInputEnum.welcomeText)?.value || '';
|
||||
|
||||
const variableModules: VariableItemType[] =
|
||||
modules
|
||||
.find((item) => item.flowType === FlowModuleTypeEnum.variable)
|
||||
?.inputs.find((item) => item.key === SystemInputEnum.variables)?.value || [];
|
||||
|
||||
return {
|
||||
welcomeText,
|
||||
variableModules
|
||||
};
|
||||
};
|
||||
export const getChatModelNameList = (modules: AppModuleItemType[]): string[] => {
|
||||
const chatModules = modules.filter((item) => item.flowType === FlowModuleTypeEnum.chatNode);
|
||||
return chatModules
|
||||
.map(
|
||||
(item) => getChatModel(item.inputs.find((input) => input.key === 'model')?.value)?.name || ''
|
||||
)
|
||||
.filter((item) => item);
|
||||
};
|
||||
@@ -1,30 +0,0 @@
|
||||
import React from 'react';
|
||||
import { Button, ModalFooter, ModalBody } from '@chakra-ui/react';
|
||||
import MyModal from '../MyModal';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
import Markdown from '../Markdown';
|
||||
|
||||
const md = `
|
||||
| 交流群 | 小助手 |
|
||||
| ----------------------- | -------------------- |
|
||||
|  |  |
|
||||
`;
|
||||
|
||||
const CommunityModal = ({ onClose }: { onClose: () => void }) => {
|
||||
const { t } = useTranslation();
|
||||
return (
|
||||
<MyModal isOpen={true} onClose={onClose} title={t('home.Community')}>
|
||||
<ModalBody textAlign={'center'}>
|
||||
<Markdown source={md} />
|
||||
</ModalBody>
|
||||
|
||||
<ModalFooter>
|
||||
<Button variant={'base'} onClick={onClose}>
|
||||
关闭
|
||||
</Button>
|
||||
</ModalFooter>
|
||||
</MyModal>
|
||||
);
|
||||
};
|
||||
|
||||
export default CommunityModal;
|
||||
@@ -1,4 +0,0 @@
|
||||
.datePicker {
|
||||
--rdp-background-color: #d6e8ff;
|
||||
--rdp-accent-color: #0000ff;
|
||||
}
|
||||
@@ -1,121 +0,0 @@
|
||||
import React, { useState, useMemo, useRef } from 'react';
|
||||
import { Box, Card, Flex, useTheme, useOutsideClick, Button } from '@chakra-ui/react';
|
||||
import { addDays, format } from 'date-fns';
|
||||
import { type DateRange, DayPicker } from 'react-day-picker';
|
||||
import MyIcon from '../Icon';
|
||||
import 'react-day-picker/dist/style.css';
|
||||
import styles from './index.module.scss';
|
||||
import zhCN from 'date-fns/locale/zh-CN';
|
||||
|
||||
const DateRangePicker = ({
|
||||
onChange,
|
||||
onSuccess,
|
||||
position = 'bottom',
|
||||
defaultDate = {
|
||||
from: addDays(new Date(), -30),
|
||||
to: new Date()
|
||||
}
|
||||
}: {
|
||||
onChange?: (date: DateRange) => void;
|
||||
onSuccess?: (date: DateRange) => void;
|
||||
position?: 'bottom' | 'top';
|
||||
defaultDate?: DateRange;
|
||||
}) => {
|
||||
const theme = useTheme();
|
||||
const OutRangeRef = useRef(null);
|
||||
const [range, setRange] = useState<DateRange | undefined>(defaultDate);
|
||||
const [showSelected, setShowSelected] = useState(false);
|
||||
|
||||
const formatSelected = useMemo(() => {
|
||||
if (range?.from && range.to) {
|
||||
return `${format(range.from, 'y-MM-dd')} ~ ${format(range.to, 'y-MM-dd')}`;
|
||||
}
|
||||
return `${format(new Date(), 'y-MM-dd')} ~ ${format(new Date(), 'y-MM-dd')}`;
|
||||
}, [range]);
|
||||
|
||||
useOutsideClick({
|
||||
ref: OutRangeRef,
|
||||
handler: () => {
|
||||
setShowSelected(false);
|
||||
}
|
||||
});
|
||||
|
||||
return (
|
||||
<Box position={'relative'} ref={OutRangeRef}>
|
||||
<Flex
|
||||
border={theme.borders.base}
|
||||
px={3}
|
||||
py={1}
|
||||
borderRadius={'sm'}
|
||||
cursor={'pointer'}
|
||||
bg={'myWhite.600'}
|
||||
fontSize={'sm'}
|
||||
onClick={() => setShowSelected(true)}
|
||||
>
|
||||
<Box>{formatSelected}</Box>
|
||||
<MyIcon ml={2} name={'date'} w={'16px'} color={'myGray.600'} />
|
||||
</Flex>
|
||||
{showSelected && (
|
||||
<Card
|
||||
position={'absolute'}
|
||||
zIndex={1}
|
||||
{...(position === 'top'
|
||||
? {
|
||||
bottom: '40px'
|
||||
}
|
||||
: {})}
|
||||
>
|
||||
<DayPicker
|
||||
locale={zhCN}
|
||||
id="test"
|
||||
mode="range"
|
||||
className={styles.datePicker}
|
||||
defaultMonth={defaultDate.to}
|
||||
selected={range}
|
||||
disabled={[
|
||||
{ from: new Date(2022, 3, 1), to: addDays(new Date(), -90) },
|
||||
{ from: addDays(new Date(), 1), to: new Date(2099, 1, 1) }
|
||||
]}
|
||||
onSelect={(date) => {
|
||||
if (date?.from === undefined) {
|
||||
date = {
|
||||
from: range?.from,
|
||||
to: range?.from
|
||||
};
|
||||
}
|
||||
if (date?.to === undefined) {
|
||||
date.to = date.from;
|
||||
}
|
||||
setRange(date);
|
||||
onChange && onChange(date);
|
||||
}}
|
||||
footer={
|
||||
<Flex justifyContent={'flex-end'}>
|
||||
<Button
|
||||
variant={'outline'}
|
||||
size={'sm'}
|
||||
mr={2}
|
||||
onClick={() => setShowSelected(false)}
|
||||
>
|
||||
取消
|
||||
</Button>
|
||||
<Button
|
||||
size={'sm'}
|
||||
onClick={() => {
|
||||
onSuccess && onSuccess(range || defaultDate);
|
||||
setShowSelected(false);
|
||||
}}
|
||||
>
|
||||
确认
|
||||
</Button>
|
||||
</Flex>
|
||||
}
|
||||
/>
|
||||
</Card>
|
||||
)}
|
||||
</Box>
|
||||
);
|
||||
};
|
||||
|
||||
export default DateRangePicker;
|
||||
export type DateRangeType = DateRange;
|
||||
@@ -1,22 +0,0 @@
|
||||
import React from 'react';
|
||||
import { Flex, type FlexProps } from '@chakra-ui/react';
|
||||
import MyIcon from '@/components/Icon';
|
||||
|
||||
const CloseIcon = (props: FlexProps) => {
|
||||
return (
|
||||
<Flex
|
||||
cursor={'pointer'}
|
||||
w={'22px'}
|
||||
h={'22px'}
|
||||
alignItems={'center'}
|
||||
justifyContent={'center'}
|
||||
borderRadius={'50%'}
|
||||
_hover={{ bg: 'myGray.200' }}
|
||||
{...props}
|
||||
>
|
||||
<MyIcon name={'closeLight'} w={'12px'} color={'myGray.500'} />
|
||||
</Flex>
|
||||
);
|
||||
};
|
||||
|
||||
export default CloseIcon;
|
||||
@@ -1 +0,0 @@
|
||||
<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1686969412308" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="3481" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M517.864056 487.834624c-56.774051-54.213739-58.850339-144.187937-4.6366-200.960964 54.212716-56.773028 144.187937-58.849316 200.960964-4.6366 56.775074 54.213739 58.850339 144.186913 4.6366 200.960964C664.613328 539.972075 574.639131 542.048363 517.864056 487.834624zM687.194626 452.994118c37.533848-39.308261 36.09508-101.596909-3.210112-139.128711-39.304168-37.531801-101.593839-36.094056-139.127687 3.211135-37.532825 39.307238-36.093033 101.593839 3.212158 139.125641C587.374176 493.736031 649.660778 492.302379 687.194626 452.994118zM479.104287 670.917406l-101.495602 106.289792c26.206872 25.024953 27.167756 66.540486 2.14178 92.749404-25.028023 26.209942-66.543555 27.16571-92.750427 2.140757l-58.361199 53.027727c0 0-68.750827 11.100826-100.379175-19.101033-31.630395-30.205952-37.865399-112.721271-37.865399-112.721271l246.37427-258.302951c-63.173808-117.608581-47.24707-267.162736 49.939389-368.939747 36.517705-38.242999 80.346933-65.156976 127.165238-81.040734l1.084705 46.269813c-35.443233 14.07967-68.566632 35.596729-96.618525 64.973804-80.271208 84.064604-96.099708 205.865671-49.433876 305.083393l23.075555 39.163975L146.090774 798.015106c0 0 0.593518 49.77873 17.242709 65.677838 14.888082 14.216793 61.832254 9.828856 61.832254 9.828856l60.407812-63.260789 31.631418 30.203906c8.741082 8.346085 22.570042 8.030907 30.91715-0.711198 8.347109-8.742105 8.026814-22.571065-0.713244-30.91715l-31.632441-30.207999 156.456355-163.846672 39.009456 22.481014c101.259218 42.039465 222.201731 20.61041 302.474986-63.453171 104.251366-109.178585 100.260471-282.211477-8.91709-386.464889-33.591049-32.075533-73.260537-53.829999-115.093295-65.49262l-1.030469-45.153386c53.197596 12.471033 103.945397 38.547944 146.323577 79.015611 126.645398 120.931257 131.277906 321.649698 10.344602 448.296119C748.158093 705.787588 599.500355 728.598106 479.104287 670.917406z" p-id="3482"></path></svg>
|
||||
|
Before Width: | Height: | Size: 2.2 KiB |
@@ -1 +0,0 @@
|
||||
<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1683254586102" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="940" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M512 34.13333333c263.91893333 0 477.86666667 213.94773333 477.86666667 477.86666667S775.91893333 989.86666667 512 989.86666667H79.6448A45.51146667 45.51146667 0 0 1 34.13333333 944.3552V512C34.13333333 248.08106667 248.08106667 34.13333333 512 34.13333333zM307.2 580.26666667a22.7552 22.7552 0 0 0-22.7552 22.7552V648.53333333A22.7552 22.7552 0 0 0 307.2 671.28853333h227.5552A22.7552 22.7552 0 0 0 557.51146667 648.53333333v-45.51146666A22.7552 22.7552 0 0 0 534.7552 580.26666667H307.2z m0-182.0448a22.7552 22.7552 0 0 0-22.7552 22.75626666v45.5104A22.7552 22.7552 0 0 0 307.2 489.2448h409.6a22.7552 22.7552 0 0 0 22.7552-22.75626667v-45.5104A22.7552 22.7552 0 0 0 716.8 398.22186667H307.2z" p-id="941"></path></svg>
|
||||
|
Before Width: | Height: | Size: 1.0 KiB |
@@ -1 +0,0 @@
|
||||
<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1689057990782" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1770" xmlns:xlink="http://www.w3.org/1999/xlink"><path d="M878.5 255.1H770V146.7c0-43.6-35.5-79.1-79.1-79.1H145.2c-43.6 0-79.1 35.5-79.1 79.1v545.8c0 43.6 35.5 79.1 79.1 79.1h108.4V880c0 43.6 35.5 79.1 79.1 79.1h545.8c43.6 0 79.1-35.5 79.1-79.1V334.2c-0.1-43.6-35.6-79.1-79.1-79.1zM145.2 707.5c-8.3 0-15.1-6.8-15.1-15.1V146.7c0-8.3 6.8-15.1 15.1-15.1H691c8.3 0 15.1 6.8 15.1 15.1v545.8c0 8.3-6.8 15.1-15.1 15.1H145.2zM893.5 880c0 8.3-6.8 15.1-15.1 15.1H332.7c-8.3 0-15.1-6.8-15.1-15.1V771.5H691c43.6 0 79.1-35.5 79.1-79.1V319.1h108.4c8.3 0 15.1 6.8 15.1 15.1V880z" p-id="1771"></path></svg>
|
||||
|
Before Width: | Height: | Size: 840 B |
@@ -1 +0,0 @@
|
||||
<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1681997838051" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="4520" xmlns:xlink="http://www.w3.org/1999/xlink" width="48" height="48"><path d="M898 178.7H665.3c4.3-9.8 6.7-20.6 6.7-32 0-44-36-80-80-80H432c-44 0-80 36-80 80 0 11.4 2.4 22.2 6.7 32H126c-13.2 0-24 10.8-24 24s10.8 24 24 24h772c13.2 0 24-10.8 24-24s-10.8-24-24-24z m-466 0c-8.5 0-16.5-3.4-22.6-9.4-6.1-6.1-9.4-14.1-9.4-22.6s3.4-16.5 9.4-22.6c6.1-6.1 14.1-9.4 22.6-9.4h160c8.5 0 16.5 3.4 22.6 9.4 6.1 6.1 9.4 14.1 9.4 22.6 0 8.5-3.4 16.5-9.4 22.6-6.1 6.1-14.1 9.4-22.6 9.4H432zM513 774.7c18.1 0 33-14.8 33-33v-334c0-18.1-14.9-33-33-33h-2c-18.1 0-33 14.8-33 33v334c0 18.2 14.8 33 33 33h2zM363 774.7c18.1 0 33-14.8 33-33v-334c0-18.1-14.9-33-33-33h-2c-18.1 0-33 14.8-33 33v334c0 18.2 14.8 33 33 33h2zM663 774.7c18.1 0 33-14.8 33-33v-334c0-18.1-14.9-33-33-33h-2c-18.1 0-33 14.8-33 33v334c0 18.2 14.8 33 33 33h2z" p-id="4521"></path><path d="M812 280.7c-13.3 0-24 10.7-24 24v530c0 41.9-34.1 76-76 76H312c-41.9 0-76-34.1-76-76v-530c0-13.3-10.7-24-24-24s-24 10.7-24 24v530c0 68.4 55.6 124 124 124h400c68.4 0 124-55.6 124-124v-530c0-13.2-10.7-24-24-24z" p-id="4522"></path></svg>
|
||||
|
Before Width: | Height: | Size: 1.3 KiB |
@@ -1 +0,0 @@
|
||||
<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1684826302600" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2244" xmlns:xlink="http://www.w3.org/1999/xlink" ><path d="M904 512h-56c-4.4 0-8 3.6-8 8v320H184V184h320c4.4 0 8-3.6 8-8v-56c0-4.4-3.6-8-8-8H144c-17.7 0-32 14.3-32 32v736c0 17.7 14.3 32 32 32h736c17.7 0 32-14.3 32-32V520c0-4.4-3.6-8-8-8z" p-id="2245"></path><path d="M355.9 534.9L354 653.8c-0.1 8.9 7.1 16.2 16 16.2h0.4l118-2.9c2-0.1 4-0.9 5.4-2.3l415.9-415c3.1-3.1 3.1-8.2 0-11.3L785.4 114.3c-1.6-1.6-3.6-2.3-5.7-2.3s-4.1 0.8-5.7 2.3l-415.8 415c-1.4 1.5-2.3 3.5-2.3 5.6z m63.5 23.6L779.7 199l45.2 45.1-360.5 359.7-45.7 1.1 0.7-46.4z" p-id="2246"></path></svg>
|
||||
|
Before Width: | Height: | Size: 810 B |
@@ -1 +0,0 @@
|
||||
<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1686468581713" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2951" xmlns:xlink="http://www.w3.org/1999/xlink" ><path d="M512 640.64a42.666667 42.666667 0 0 0 42.666667-42.666667v-341.333333h130.986666a21.333333 21.333333 0 0 0 14.250667-5.461333l2.688-2.901334a21.333333 21.333333 0 0 0-4.010667-29.909333l-165.717333-126.464a32 32 0 0 0-38.912 0.042667L329.472 218.453333a21.333333 21.333333 0 0 0 12.970667 38.229334H469.333333v341.333333a42.666667 42.666667 0 0 0 42.666667 42.666667z m229.674667-298.368a42.666667 42.666667 0 0 0 4.992 85.034667H853.333333v426.666666H170.666667v-426.666666h106.666666a42.666667 42.666667 0 0 0 0-85.333334H170.666667a85.333333 85.333333 0 0 0-85.333334 85.333334v426.666666a85.333333 85.333333 0 0 0 85.333334 85.333334h682.666666a85.333333 85.333333 0 0 0 85.333334-85.333334v-426.666666a85.333333 85.333333 0 0 0-85.333334-85.333334h-106.666666z" fill="#000000" p-id="2952"></path></svg>
|
||||
|
Before Width: | Height: | Size: 1.1 KiB |