fix: CQ module output (#445)

文档改为https://doc.fastgpt.in网站访问

.github/ISSUE_TEMPLATE/bugs.md

@@ -0,0 +1,30 @@
+---
+name: 问题反馈
+about: 详细清晰的描述你遇到的问题
+title: ''
+labels: bug
+assignees: ''
+---
+
+**例行检查**
+
+[//]: # '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**
+
+**你的版本**
+
+- [ ] 公有云版本
+- [ ] 私有部署版本
+
+**问题描述**
+
+**复现步骤**
+
+**预期结果**
+
+**相关截图**

.github/ISSUE_TEMPLATE/config.yml

@@ -0,0 +1,5 @@
+blank_issues_enabled: false
+contact_links:
+  - name: 微信交流群
+    url: https://doc.fastgpt.run/wechat-fastgpt.webp
+    about: FastGPT 全是问题群

.github/ISSUE_TEMPLATE/features.md

@@ -0,0 +1,23 @@
+---
+name: 功能请求
+about: 详细描述你期望的功能
+title: ''
+labels: enhancement
+assignees: ''
+---
+
+**例行检查**
+
+[//]: # '方框内填 x 表示打钩'
+
+- [ ] 我已确认目前没有类似 features
+- [ ] 我已确认我已升级到最新版本
+- [ ] 我已完整查看过项目 README，已确定现有版本无法满足需求
+- [ ] 我理解并愿意跟进此 features，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 features 可能会被无视或直接关闭**
+
+**功能描述**
+
+**应用场景**
+
+**相关示例**

.github/gh-bot.yml

@@ -0,0 +1,30 @@
+version: v1
+debug: true
+action:
+  printConfig: false
+  release:
+    retry: 15s
+    actionName: Release
+    allowOps:
+      - cuisongliu
+bot:
+  prefix: /
+  spe: _
+  allowOps:
+    - sealos-ci-robot
+    - sealos-release-robot
+  email: sealos-ci-robot@sealos.io
+  username: sealos-ci-robot
+repo:
+  org: false
+
+message:
+  success: |
+    🤖 says: Hooray! The action {{.Body}} has been completed successfully. 🎉
+  format_error: |
+    🤖 says: ‼️ There is a formatting issue with the action, kindly verify the action's format.
+  permission_error: |
+    🤖 says: ‼️ The action doesn't have permission to trigger.
+  release_error: |
+    🤖 says: ‼️ Release action failed.
+    Error details: {{.Error}}

.github/imgs/logo.svg

@@ -0,0 +1,14 @@
+<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>

.github/workflows/bot-issues-translator.yml

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

.github/workflows/deploy-docs.yml

@@ -0,0 +1,70 @@
+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
+
+      # 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
+

.github/workflows/deploy-preview.yml

@@ -0,0 +1,94 @@
+name: deploy-docs-preview
+
+on:
+  pull_request_target:
+    paths:
+      - 'docSite/**'
+    branches:
+      - 'main'
+  workflow_dispatch:
+
+# A workflow run is made up of one or more jobs that can run sequentially or in parallel
+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
+
+      # 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"

.github/workflows/docs-image.yml

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

.github/workflows/fastgpt-image.yml

@@ -1,9 +1,10 @@
-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/**'
+      - 'projects/app/**'
+      - 'packages/**'
     branches:
       - 'main'
     tags:
@@ -25,6 +26,13 @@ jobs:
         uses: docker/setup-buildx-action@v2
         with:
           driver-opts: network=host
+      - name: Cache Docker layers
+        uses: actions/cache@v2
+        with:
+          path: /tmp/.buildx-cache
+          key: ${{ runner.os }}-buildx-${{ github.sha }}
+          restore-keys: |
+            ${{ runner.os }}-buildx-
       - name: Login to GitHub Container Registry
         uses: docker/login-action@v2
         with:
@@ -38,24 +46,26 @@ jobs:
           else
             echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
           fi
-
       - name: Build and publish image for main branch or tag push event
         env:
           DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
         run: |
-          cd client && \
           docker buildx build \
+          --build-arg name=app \
           --platform linux/amd64,linux/arm64 \
           --label "org.opencontainers.image.source=  https://github.com/  ${{ github.repository_owner }}/FastGPT" \
           --label "org.opencontainers.image.description=fastgpt image" \
-          --label "org.opencontainers.image.licenses=MIT" \
+          --label "org.opencontainers.image.licenses=Apache" \
           --push \
+          --cache-from=type=local,src=/tmp/.buildx-cache \
+          --cache-to=type=local,dest=/tmp/.buildx-cache \
           -t ${DOCKER_REPO_TAGGED} \
           -f Dockerfile \
           .
   push-to-docker-hub:
     needs: build-fastgpt-images
     runs-on: ubuntu-20.04
+    if: github.repository == 'labring/FastGPT'
     steps:
       - name: Checkout code
         uses: actions/checkout@v3
@@ -77,3 +87,29 @@ jobs:
         run: docker tag ghcr.io/${{ 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
+    if: github.repository == 'labring/FastGPT'
+    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: ${{ secrets.ALI_HUB_PASSWORD }}
+      - name: Set DOCKER_REPO_TAGGED based on branch or tag
+        run: |
+          if [[ "${{ 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}} ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}
+      - name: Push image to Docker Hub
+        run: docker push ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}

.github/workflows/preview-image.yml

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

.gitignore

@@ -29,4 +29,10 @@ next-env.d.ts
 platform.json
 testApi/
 local/
-dist/
+dist/
+
+# hugo
+**/.hugo_build.lock
+docSite/public/
+docSite/resources/_gen/
+docSite/.vercel

.prettierignore

@@ -1,4 +1,5 @@
 dist
 .vscode
 **/.DS_Store
-node_modules
+node_modules
+docSite/

.vscode/settings.json

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

Dockerfile

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

LICENSE

@@ -1,201 +1,35 @@
-                                 Apache License
-                           Version 2.0, January 2004
-                        http://www.apache.org/licenses/
+# FastGPT Open Source License
 
-   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+The FastGPT is licensed under the Apache License 2.0, with the following additional conditions:
 
-   1. Definitions.
+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:
 
-      "License" shall mean the terms and conditions for use, reproduction,
-      and distribution as defined by Sections 1 through 9 of this document.
+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.
 
-      "Licensor" shall mean the copyright owner or entity authorized by
-      the copyright owner that is granting the License.
+Please contact yujinlong@sealos.io by email to inquire about licensing matters.
 
-      "Legal Entity" shall mean the union of the acting entity and all
-      other entities that control, are controlled by, or are under common
-      control with that entity. For the purposes of this definition,
-      "control" means (i) the power, direct or indirect, to cause the
-      direction or management of such entity, whether by contract or
-      otherwise, or (ii) ownership of fifty percent (50%) or more of the
-      outstanding shares, or (iii) beneficial ownership of such entity.
+2. As a contributor, you should agree that your contributed code:
 
-      "You" (or "Your") shall mean an individual or Legal Entity
-      exercising permissions granted by this License.
+a. The producer can adjust the open-source agreement to be more strict or relaxed.
+b. Can be used for commercial purposes, such as FastGPT's cloud business.
 
-      "Source" form shall mean the preferred form for making modifications,
-      including but not limited to software source code, documentation
-      source, and configuration files.
+Apart from this, all other rights and restrictions follow the Apache License 2.0. If you need more detailed information, you can refer to the full version of Apache License 2.0.
 
-      "Object" form shall mean any form resulting from mechanical
-      transformation or translation of a Source form, including but
-      not limited to compiled object code, generated documentation,
-      and conversions to other media types.
+The interactive design of this product is protected by appearance patent.
 
-      "Work" shall mean the work of authorship, whether in Source or
-      Object form, made available under the License, as indicated by a
-      copyright notice that is included in or attached to the work
-      (an example is provided in the Appendix below).
+© 2023 Sealos.
 
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-      separable from, or merely link (or bind by name) to the interfaces of,
-      the Work and Derivative Works thereof.
+---
 
-      "Contribution" shall mean any work of authorship, including
-      the original version of the Work and any modifications or additions
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-      designated in writing by the copyright owner as "Not a Contribution."
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
 
-      "Contributor" shall mean Licensor and any individual or Legal Entity
-      on behalf of whom a Contribution has been received by Licensor and
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-   2. Grant of Copyright License. Subject to the terms and conditions of
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+limitations under the License.

README.md

@@ -1,51 +1,135 @@
+<div align="center">
+
+<a href="https://fastgpt.run/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
+
 # FastGPT
 
+<p align="center">
+  <a href="./README_en.md">English</a> |
+  <a href="./README.md">简体中文</a>
+</p>
+
 FastGPT 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！
 
-## 🛸 在线体验
+</div>
 
-🎉 [fastgpt.run](https://fastgpt.run/)（服务器在新加坡，部分地区可能无法直连）
+<p align="center">
+  <a href="https://fastgpt.run/">
+    <img height="21" src="https://img.shields.io/badge/在线使用-d4eaf7?style=flat-square&logo=spoj&logoColor=7d09f1" alt="cloud">
+  </a>
+  <a href="https://doc.fastgpt.run/docs/intro">
+    <img height="21" src="https://img.shields.io/badge/相关文档-7d09f1?style=flat-square" alt="document">
+  </a>
+  <a href="https://doc.fastgpt.run/docs/development">
+    <img height="21" src="https://img.shields.io/badge/本地开发-%23d4eaf7?style=flat-square&logo=xcode&logoColor=7d09f1" alt="development">
+  </a>
+  <a href="/#-%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE">
+    <img height="21" src="https://img.shields.io/badge/相关项目-7d09f1?style=flat-square" alt="project">
+  </a>
+  <a href="https://github.com/labring/FastGPT/blob/main/LICENSE">
+    <img height="21" src="https://img.shields.io/badge/License-Apache--2.0-ffffff?style=flat-square&labelColor=d4eaf7&color=7d09f1" alt="license">
+  </a>
+</p>
+
+https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
+
+## 🛸 在线使用
+
+- 🌐 国内版：[ai.fastgpt.in](https://ai.fastgpt.in/)
+- 🌍 海外版：[fastgpt.run](https://fastgpt.run/)
 
 |                                    |                                    |
 | ---------------------------------- | ---------------------------------- |
 | ![Demo](./.github/imgs/intro1.png) | ![Demo](./.github/imgs/intro2.png) |
 | ![Demo](./.github/imgs/intro3.png) | ![Demo](./.github/imgs/intro4.png) |
 
+## 💡 功能
+
+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
+   - [x] 对话下一步指引
+   - [ ] 对话多路线选择
+   - [x] 源文件引用追踪
+   - [x] 模块封装，实现多级复用
+2. 丰富的知识库预处理
+   - [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] 知识库单点搜索测试
+   - [x] 对话时反馈引用并可修改与删除
+   - [x] 完整上下文呈现
+   - [x] 完整模块中间值呈现
+4. OpenAPI
+   - [x] completions 接口 (对齐 GPT 接口)
+   - [ ] 知识库 CRUD
+5. 运营功能
+   - [x] 免登录分享窗口
+   - [x] Iframe 一键嵌入
+   - [x] 统一查阅对话记录，并对数据进行标注
+
 ## 👨‍💻 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)
 
-- [快开始本地开发](https://doc.fastgpt.run/docs/develop/dev)
-- [部署 FastGPT](https://doc.fastgpt.run/docs/category/deploy)
+- **⚡ 快速部署**
 
-## :point_right: RoadMap
+  > 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 👇
 
-- [FastGpt RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte)
+  [![](https://cdn.jsdelivr.us/gh/labring-actions/templates@main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
+
+  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。
+
+* [快开始本地开发](https://doc.fastgpt.in/docs/development/intro/)
+* [部署 FastGPT](https://doc.fastgpt.in/docs/installation)
+* [系统配置文件说明](https://doc.fastgpt.in/docs/development/configuration/)
+* [多模型配置](https://doc.fastgpt.in/docs/installation/one-api/)
+* [版本更新/升级介绍](https://doc.fastgpt.in/docs/installation/upgrading)
+* [OpenAPI API 文档](https://doc.fastgpt.in/docs/development/openapi/)
+* [知识库结构详解](https://doc.fastgpt.in/docs/use-cases/datasetengine/)
 
 ## 🏘️ 社区交流群
 
-| 交流群                                            | 小助手                                         |
-| ------------------------------------------------- | ---------------------------------------------- |
-| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |
+添加 wx 小助手加入：
 
-## Powered by
+![](https://otnvvf-imgs.oss.laf.run/wx300.jpg)
 
-- [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: 令牌管理 & 二次分发，支持 Azure](https://github.com/songquanpeng/one-api)
+## 💪 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)
 
 ## 👀 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/)
+- [保姆级 FastGPT 教程](https://www.bilibili.com/video/BV1n34y1A7Bo/?spm_id_from=333.999.0.0)
+- [接入飞书](https://www.bilibili.com/video/BV1Su4y1r7R3/?spm_id_from=333.999.0.0)
+- [接入企微](https://www.bilibili.com/video/BV1Tp4y1n72T/?spm_id_from=333.999.0.0)
 
-## 第三方生态
+## 🤝 第三方生态
 
-- [luolinAI: 企微机器人，开箱即用](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
+- [OnWeChat 个人微信/企微机器人](https://doc.fastgpt.run/docs/use-cases/onwechat/)
 
 ## 🌟 Star History
 
 [![Star History Chart](https://api.star-history.com/svg?repos=labring/FastGPT&type=Date)](https://star-history.com/#labring/FastGPT&Date)
+
+## 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，但不允许提供 SaaS 服务。
+2. 未经商业授权，任何形式的商用服务均需保留相关版权信息。
+3. 完整请查看 [FastGPT Open Source License](./LICENSE)
+4. 联系方式：yujinlong@sealos.io，[点击查看商业版定价策略](https://doc.fastgpt.run/docs/commercial)

README_en.md

@@ -0,0 +1,134 @@
+<div align="center">
+
+<a href="https://fastgpt.run/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
+
+# FastGPT
+
+<p align="center">
+  <a href="./README_en.md">English</a> |
+  <a href="./README.md">简体中文</a>
+</p>
+
+FastGPT is a knowledge-based Q&A system built on the LLM, offers out-of-the-box data processing and model invocation capabilities, allows for workflow orchestration through Flow visualization!
+
+</div>
+
+<p align="center">
+  <a href="https://fastgpt.run/">
+    <img height="21" src="https://img.shields.io/badge/在线使用-d4eaf7?style=flat-square&logo=spoj&logoColor=7d09f1" alt="cloud">
+  </a>
+  <a href="https://doc.fastgpt.run/docs/intro">
+    <img height="21" src="https://img.shields.io/badge/相关文档-7d09f1?style=flat-square" alt="document">
+  </a>
+  <a href="https://doc.fastgpt.run/docs/development">
+    <img height="21" src="https://img.shields.io/badge/本地开发-%23d4eaf7?style=flat-square&logo=xcode&logoColor=7d09f1" alt="development">
+  </a>
+  <a href="/#-%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE">
+    <img height="21" src="https://img.shields.io/badge/相关项目-7d09f1?style=flat-square" alt="project">
+  </a>
+  <a href="https://github.com/labring/FastGPT/blob/main/LICENSE">
+    <img height="21" src="https://img.shields.io/badge/License-Apache--2.0-ffffff?style=flat-square&labelColor=d4eaf7&color=7d09f1" alt="license">
+  </a>
+</p>
+
+https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
+
+## 🛸 Use Cloud Services
+
+[fastgpt.run](https://fastgpt.run/)
+| | |
+| ---------------------------------- | ---------------------------------- |
+| ![Demo](./.github/imgs/intro1.png) | ![Demo](./.github/imgs/intro2.png) |
+| ![Demo](./.github/imgs/intro3.png) | ![Demo](./.github/imgs/intro4.png) |
+
+## 💡 Features
+
+1. Powerful visual workflows: Effortlessly craft AI applications
+
+   - [x] Simple mode on deck - no need for manual arrangement
+   - [x] User dialogue pre-guidance
+   - [x] Global variables
+   - [x] Knowledge base search
+   - [x] Dialogue via multiple LLM models
+   - [x] Text magic - convert to structured data
+   - [x] Extend with HTTP
+   - [ ] Embed Laf for on-the-fly HTTP module crafting
+   - [x] Directions for the next dialogue steps
+   - [x] Tracking source file references
+   - [ ] Custom file reader
+   - [ ] Modules are packaged into plug-ins to achieve reuse
+
+2. Extensive knowledge base preprocessing
+
+   - [x] Reuse and mix multiple knowledge bases
+   - [x] Track chunk modifications and deletions
+   - [x] Supports manual entries, direct segmentation, and QA split imports
+   - [x] Supports URL fetching and batch CSV imports
+   - [x] Supports Set unique vector models for knowledge bases
+   - [x] Store original files
+   - [ ] File learning Agent
+
+3. Multiple effect testing channels
+
+   - [x] Single-point knowledge base search test
+   - [x] Feedback references and ability to modify and delete during dialogue
+   - [x] Complete context presentation
+   - [ ] Complete module intermediate value presentation
+
+4. OpenAPI
+
+   - [x] completions interface (aligned with GPT interface)
+   - [ ] Knowledge base CRUD
+
+5. Operational functions
+
+   - [x] Login-free sharing window
+   - [x] One-click embedding with Iframe
+   - [ ] Unified access to dialogue records
+
+## 👨‍💻 Development
+
+Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
+
+- **⚡ Deployment**
+
+  [![](https://cdn.jsdelivr.us/gh/labring-actions/templates@main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
+
+  Give it a 2-4 minute wait after deployment as it sets up the database. Initially, it might be a tad slow since we're using the basic settings.
+
+- [Getting Started with Local Development](https://doc.fastgpt.run/docs/development)
+- [Deploying FastGPT](https://doc.fastgpt.run/docs/installation)
+- [Guide on System Configs](https://doc.fastgpt.run/docs/installation/reference)
+- [Configuring Multiple Models](https://doc.fastgpt.run/docs/installation/reference/models)
+- [Version Updates & Upgrades](https://doc.fastgpt.run/docs/installation/upgrading)
+
+<!-- ## :point_right: RoadMap
+- [FastGPT RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte) -->
+
+<!-- ## 🏘️ Community
+
+| Community Group                                   | Assistant                                      |
+| ------------------------------------------------- | ---------------------------------------------- |
+| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) | -->
+
+## 👀 Others
+
+- [FastGPT FAQ](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
+- [Docker Deployment Tutorial Video](https://www.bilibili.com/video/BV1jo4y147fT/)
+- [Official Account Integration Video Tutorial](https://www.bilibili.com/video/BV1xh4y1t7fy/)
+- [FastGPT Knowledge Base Demo](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
+
+## 💪 Related Projects
+
+- [Laf: 3-minute quick access to third-party applications](https://github.com/labring/laf)
+- [Sealos: Rapid deployment of cluster applications](https://github.com/labring/sealos)
+- [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)
+
+## 🤝 Third-party Ecosystem
+
+- [luolinAI: Enterprise WeChat bot, ready to use](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
+
+## 🌟 Star History
+
+[![Star History Chart](https://api.star-history.com/svg?repos=labring/FastGPT&type=Date)](https://star-history.com/#labring/FastGPT&Date)

client/Dockerfile

@@ -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"]

client/data/config.json

@@ -1,63 +0,0 @@
-{
-  "FeConfig": {
-    "show_emptyChat": true,
-    "show_register": false,
-    "show_appStore": false,
-    "show_userDetail": false,
-    "show_git": true,
-    "systemTitle": "FastAI",
-    "authorText": "Made by FastAI Team.",
-    "gitLoginKey": ""
-  },
-  "SystemParams": {
-    "gitLoginSecret": "",
-    "vectorMaxProcess": 15,
-    "qaMaxProcess": 15,
-    "pgIvfflatProbe": 20
-  },
-  "plugins": {},
-  "ChatModels": [
-    {
-      "model": "gpt-3.5-turbo",
-      "name": "FastAI-4k",
-      "contextMaxToken": 4000,
-      "quoteMaxToken": 2000,
-      "maxTemperature": 1.2,
-      "price": 1.5,
-      "defaultSystem": ""
-    },
-    {
-      "model": "gpt-3.5-turbo-16k",
-      "name": "FastAI-16k",
-      "contextMaxToken": 16000,
-      "quoteMaxToken": 8000,
-      "maxTemperature": 1.2,
-      "price": 3,
-      "defaultSystem": ""
-    },
-    {
-      "model": "gpt-4",
-      "name": "FastAI-Plus",
-      "contextMaxToken": 8000,
-      "quoteMaxToken": 4000,
-      "maxTemperature": 1.2,
-      "price": 45,
-      "defaultSystem": ""
-    }
-  ],
-  "QAModels": [
-    {
-      "model": "gpt-3.5-turbo-16k",
-      "name": "FastAI-16k",
-      "maxToken": 16000,
-      "price": 3
-    }
-  ],
-  "VectorModels": [
-    {
-      "model": "text-embedding-ada-002",
-      "name": "Embedding-2",
-      "price": 0.2
-    }
-  ]
-}

client/next-env.d.ts

@@ -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.

client/public/docs/chatProblem.md

@@ -1,22 +0,0 @@
-### 常见问题
-
-**一键部署**：V4 版本未正式开源，目前仅提供一键部署方案:
-
-[![](https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
-
-**Git 地址**: [项目地址。V4-beta 暂未开源，在正式版发布后会开源。](https://github.com/labring/FastGPT)
-**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)  
-**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 |
-| 文件拆分 | 0.03 |
-
-**其他问题**
-| 交流群 | 小助手 |
-| ----------------------- | -------------------- |
-| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |

client/public/docs/versionIntro.md

@@ -1,8 +0,0 @@
-### Fast GPT V4.0-beta
-
-1. 全新交互，增加采用模块组合的方式构建知识库，同时保留表单的简易模式。
-2. 问题分类 - 可以对用户的问题进行分类，再执行不同的操作。
-3. 对话引导 - 增加开场引导和变量，提高对话可玩性。
-4. 新增 - 每轮对话均可展示完整的上下文状态。
-5. 新增 - 网页嵌入（简单版），可直接接入现有网页。在 【应用详情-外部使用-创建新链接-嵌入网页】 中获取嵌入脚本。
-6. 新增 - 个人 openai 账号可以使用网页上 OpenAI 对话模型。

client/public/locales/en/common.json

@@ -1,122 +0,0 @@
-{
-  "App": "App",
-  "Cancel": "No",
-  "Confirm": "Yes",
-  "Running": "Running",
-  "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",
-    "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",
-    "Input Field Settings": "Input Field Settings",
-    "My Apps": "My Apps",
-    "Output Field Settings": "Output Field Settings"
-  },
-  "chat": {
-    "Confirm to clear history": "Confirm to clear history?",
-    "Exit Chat": "Exit",
-    "History": "History",
-    "New Chat": "New Chat",
-    "You need to a chat app": "You need to a chat app"
-  },
-  "common": {
-    "Add": "Add",
-    "Cancel": "Cancel",
-    "Collect": "Collect",
-    "Copy": "Copy",
-    "Course": "",
-    "Delete": "Delete",
-    "Filed is repeat": "Filed is repeated",
-    "Filed is repeated": "",
-    "Input": "Input",
-    "Output": "Output"
-  },
-  "file": {
-    "Click to download CSV template": "Click to download CSV template",
-    "Drag and drop": "Drag and drop files here, or click",
-    "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",
-    "Release the mouse to upload the file": "Release the mouse to upload the file",
-    "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 Models": "Multiple Models",
-    "Choice Models Desc": "",
-    "Choice Open": "Open",
-    "Choice Open Desc": "",
-    "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": "FastGPT Ability",
-    "FastGPT Desc": "FastGPT 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": "FastGPT 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": "",
-    "desc": "",
-    "slogan": ""
-  },
-  "navbar": {
-    "Account": "Account",
-    "Apps": "Apps",
-    "Chat": "Chat",
-    "Datasets": "DataSets",
-    "Store": "Store",
-    "Tools": "Tools"
-  },
-  "user": {
-    "Account": "Account",
-    "Application Name": "Application Name",
-    "Avatar": "Avatar",
-    "Balance": "Balance",
-    "Bill Detail": "Bill Detail",
-    "Change": "Change",
-    "Notice": "Notice",
-    "Old password is error": "Old password is error",
-    "OpenAI Account Setting": "OpenAI Account Setting",
-    "Password": "Password",
-    "Pay": "Pay",
-    "Personal Information": "Personal",
-    "Recharge Record": "Recharge",
-    "Replace": "Replace",
-    "Set OpenAI Account Failed": "Set OpenAI account failed",
-    "Sign Out": "Sign Out",
-    "Source": "Source",
-    "Time": "Time",
-    "Total Amount": "Total Amount",
-    "Update Password": "Update Password",
-    "Update password failed": "Update password failed",
-    "Update password succseful": "Update password succseful",
-    "Usage Record": "Usage"
-  }
-}

client/public/locales/zh/common.json

@@ -1,121 +0,0 @@
-{
-  "App": "应用",
-  "Cancel": "取消",
-  "Confirm": "确认",
-  "Running": "运行中",
-  "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",
-    "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",
-    "Input Field Settings": "输入字段编辑",
-    "My Apps": "我的应用",
-    "Output Field Settings": "输出字段编辑"
-  },
-  "chat": {
-    "Confirm to clear history": "确认清空该应用的聊天记录？",
-    "Exit Chat": "退出聊天",
-    "History": "记录",
-    "New Chat": "新对话",
-    "You need to a chat app": "你需要创建一个应用"
-  },
-  "common": {
-    "Add": "添加",
-    "Cancel": "取消",
-    "Collect": "收藏",
-    "Copy": "复制",
-    "Delete": "删除",
-    "Filed is repeat": "",
-    "Filed is repeated": "字段重复了",
-    "Input": "输入",
-    "Output": "输出"
-  },
-  "file": {
-    "Click to download CSV template": "点击下载 CSV 模板",
-    "Drag and drop": "拖拽文件至此，或点击",
-    "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",
-    "Release the mouse to upload the file": "松开鼠标上传文件",
-    "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 Models": "支持多种模型",
-    "Choice Models Desc": "支持 GPT、Claude、文心一言等多模型",
-    "Choice Open": "更开放",
-    "Choice Open Desc": "FastGPT 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": "FastGPT 能力",
-    "FastGPT Desc": "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！",
-    "Features": "特点",
-    "Footer Developer": "开发者",
-    "Footer Docs": "文档",
-    "Footer FastGPT Cloud": "FastGPT 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 FastGPT",
-    "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"
-  },
-  "navbar": {
-    "Account": "账号",
-    "Apps": "应用",
-    "Chat": "聊天",
-    "Datasets": "知识库",
-    "Store": "应用市场",
-    "Tools": "工具"
-  },
-  "user": {
-    "Account": "账号",
-    "Application Name": "应用名",
-    "Avatar": "头像",
-    "Balance": "余额",
-    "Bill Detail": "账单详情",
-    "Change": "变更",
-    "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",
-    "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",
-    "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"
-  }
-}

client/src/api/chat.ts

@@ -1,76 +0,0 @@
-import { GET, POST, DELETE, PUT } from './request';
-import type { ChatHistoryItemType } from '@/types/chat';
-import type { InitChatResponse, InitShareChatResponse } from './response/chat';
-import { RequestPaging } from '../types/index';
-import type { OutLinkSchema } from '@/types/mongoSchema';
-import type { ShareChatEditType } from '@/types/app';
-import type { Props as UpdateHistoryProps } from '@/pages/api/chat/history/updateChatHistory';
-
-/**
- * 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 });
-
-/**
- * update history quote status
- */
-export const updateHistoryQuote = (params: {
-  chatId: string;
-  contentId: string;
-  quoteId: string;
-  sourceText: string;
-}) => PUT(`/chat/history/updateHistoryQuote`, params);
-
-/**
- * 删除一句对话
- */
-export const delChatRecordByIndex = (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);
-
-/**
- * 初始化分享聊天
- */
-export const initShareChatInfo = (data: { shareId: string }) =>
-  GET<InitShareChatResponse>(`/chat/shareChat/init`, data);
-
-/**
- * create a shareChat
- */
-export const createShareChat = (
-  data: ShareChatEditType & {
-    appId: string;
-  }
-) => POST<string>(`/chat/shareChat/create`, data);
-
-/**
- * get shareChat
- */
-export const getShareChatList = (appId: string) =>
-  GET<OutLinkSchema[]>(`/chat/shareChat/list`, { appId });
-
-/**
- * delete a  shareChat
- */
-export const delShareChatById = (id: string) => DELETE(`/chat/shareChat/delete?id=${id}`);

client/src/api/openapi.ts

@@ -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}`);

client/src/api/plugins/kb.ts

@@ -1,93 +0,0 @@
-import { GET, POST, PUT, DELETE } from '../request';
-import type { KbItemType, KbListItemType } from '@/types/plugin';
-import { RequestPaging } from '@/types/index';
-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 { Response as KbDataItemType } from '@/pages/api/plugins/kb/data/getDataById';
-import { Props as UpdateDataProps } from '@/pages/api/openapi/kb/updateData';
-
-export type KbUpdateParams = {
-  id: string;
-  name: string;
-  tags: string;
-  avatar: string;
-};
-
-/* knowledge base */
-export const getKbList = () => GET<KbListItemType[]>(`/plugins/kb/list`);
-
-export const getKbById = (id: string) => GET<KbItemType>(`/plugins/kb/detail?id=${id}`);
-
-export const postCreateKb = (data: { name: string }) => POST<string>(`/plugins/kb/create`, data);
-
-export const putKbById = (data: KbUpdateParams) => PUT(`/plugins/kb/update`, data);
-
-export const delKbById = (id: string) => DELETE(`/plugins/kb/delete?id=${id}`);
-
-/* kb data */
-type GetKbDataListProps = RequestPaging & {
-  kbId: string;
-  searchText: string;
-};
-export const getKbDataList = (data: GetKbDataListProps) =>
-  POST(`/plugins/kb/data/getDataList`, data);
-
-/**
- * 获取导出数据（不分页）
- */
-export const getExportDataList = (kbId: string) =>
-  GET<[string, string, string][]>(
-    `/plugins/kb/data/exportModelData`,
-    { kbId },
-    {
-      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);
-
-export const getKbDataItemById = (dataId: string) =>
-  GET<KbDataItemType>(`/plugins/kb/data/getDataById`, { dataId });
-
-/**
- * 直接push数据
- */
-export const postKbDataFromList = (data: PushDataProps) =>
-  POST<PushDateResponse>(`/openapi/kb/pushData`, 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);

client/src/api/system.ts

@@ -1,6 +0,0 @@
-import { GET, POST, PUT } from './request';
-import type { InitDateResponse } from '@/pages/api/system/getInitData';
-
-export const getInitData = () => GET<InitDateResponse>('/system/getInitData');
-
-export const uploadImg = (base64Img: string) => POST<string>('/system/uploadImage', { base64Img });

client/src/api/user.ts

@@ -1,84 +0,0 @@
-import { GET, POST, PUT } from './request';
-import { createHashPassword } from '@/utils/tools';
-import { ResLogin } 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';
-
-export const sendAuthCode = (data: {
-  username: string;
-  type: `${UserAuthTypeEnum}`;
-  googleToken: string;
-}) => POST('/user/sendAuthCode', data);
-
-export const getTokenLogin = () => GET<UserType>('/user/account/tokenLogin');
-export const gitLogin = (code: string) => GET<ResLogin>('/user/account/gitLogin', { code });
-
-export const postRegister = ({
-  username,
-  password,
-  code,
-  inviterId
-}: {
-  username: string;
-  code: string;
-  password: string;
-  inviterId: string;
-}) =>
-  POST<ResLogin>('/user/account/register', {
-    username,
-    code,
-    inviterId,
-    password: createHashPassword(password)
-  });
-
-export const postFindPassword = ({
-  username,
-  code,
-  password
-}: {
-  username: string;
-  code: string;
-  password: string;
-}) =>
-  POST<ResLogin>('/user/account/updatePasswordByCode', {
-    username,
-    code,
-    password: createHashPassword(password)
-  });
-
-export const updatePasswordByOld = ({ oldPsw, newPsw }: { oldPsw: string; newPsw: string }) =>
-  POST('/user/account/updatePasswordByOld', {
-    oldPsw: createHashPassword(oldPsw),
-    newPsw: createHashPassword(newPsw)
-  });
-
-export const postLogin = ({ username, password }: { username: string; password: string }) =>
-  POST<ResLogin>('/user/account/loginByPassword', {
-    username,
-    password: createHashPassword(password)
-  });
-
-export const loginOut = () => GET('/user/account/loginout');
-
-export const putUserInfo = (data: UserUpdateParams) => PUT('/user/account/update', data);
-
-export const getUserBills = (data: RequestPaging) =>
-  POST<PagingData<UserBillType>>(`/user/getBill`, data);
-
-export const getPayOrders = () => GET<PaySchema[]>(`/user/getPayOrders`);
-
-export const getPayCode = (amount: number) =>
-  GET<{
-    codeUrl: string;
-    payId: string;
-  }>(`/user/getPayCode?amount=${amount}`);
-
-export const checkPayResult = (payId: string) => GET<number>(`/user/checkPayResult?payId=${payId}`);
-
-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 });

client/src/components/APIKeyModal/index.tsx

@@ -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;

client/src/components/ChatBox/QuoteModal.tsx

@@ -1,137 +0,0 @@
-import React, { useCallback, useState } from 'react';
-import { ModalBody, ModalCloseButton, ModalHeader, 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 from '@/pages/kb/detail/components/InputDataModal';
-import MyModal from '../MyModal';
-
-const QuoteModal = ({
-  onUpdateQuote,
-  rawSearch = [],
-  onClose
-}: {
-  onUpdateQuote: (quoteId: string, sourceText: string) => Promise<void>;
-  rawSearch: QuoteItemType[];
-  onClose: () => void;
-}) => {
-  const theme = useTheme();
-  const { toast } = useToast();
-  const { setIsLoading, Loading } = useLoading();
-  const [editDataItem, setEditDataItem] = useState<{
-    kbId: string;
-    dataId: string;
-    a: string;
-    q: string;
-  }>();
-
-  /**
-   * click edit, get new kbDataItem
-   */
-  const onclickEdit = useCallback(
-    async (item: QuoteItemType) => {
-      try {
-        setIsLoading(true);
-        const data = (await getKbDataItemById(item.id)) as QuoteItemType;
-
-        if (!data) {
-          onUpdateQuote(item.id, '已删除');
-          throw new Error('该数据已被删除');
-        }
-
-        setEditDataItem({
-          kbId: data.kb_id,
-          dataId: data.id,
-          q: data.q,
-          a: data.a
-        });
-      } 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'} fontSize={'sm'}>
-          {rawSearch.map((item) => (
-            <Box
-              key={item.id}
-              flex={'1 0 0'}
-              p={2}
-              borderRadius={'lg'}
-              border={theme.borders.base}
-              _notLast={{ mb: 2 }}
-              position={'relative'}
-              _hover={{ '& .edit': { display: 'flex' } }}
-            >
-              {item.source && <Box color={'myGray.600'}>({item.source})</Box>}
-              <Box>{item.q}</Box>
-              <Box>{item.a}</Box>
-              <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.dataId, '手动修改')}
-          onDelete={() => onUpdateQuote(editDataItem.dataId, '已删除')}
-          kbId={editDataItem.kbId}
-          defaultValues={editDataItem}
-        />
-      )}
-    </>
-  );
-};
-
-export default QuoteModal;

client/src/components/ChatBox/ResponseDetailModal.tsx

@@ -1,94 +0,0 @@
-import React, { useCallback, useMemo, useState } from 'react';
-import { ChatModuleEnum } from '@/constants/chat';
-import { ChatHistoryItemResType, ChatItemType, QuoteItemType } from '@/types/chat';
-import { Flex, BoxProps } from '@chakra-ui/react';
-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 ResponseDetailModal = ({
-  chatId,
-  contentId,
-  responseData = []
-}: {
-  chatId?: string;
-  contentId?: string;
-  responseData?: ChatHistoryItemResType[];
-}) => {
-  const [quoteModalData, setQuoteModalData] = useState<QuoteItemType[]>();
-  const [contextModalData, setContextModalData] = useState<ChatItemType[]>();
-
-  const {
-    tokens = 0,
-    quoteList = [],
-    completeMessages = []
-  } = useMemo(() => {
-    const chatData = responseData.find((item) => item.moduleName === ChatModuleEnum.AIChat);
-    if (!chatData) return {};
-    return {
-      tokens: chatData.tokens,
-      quoteList: chatData.quoteList,
-      completeMessages: chatData.completeMessages
-    };
-  }, [responseData]);
-
-  const isEmpty = useMemo(
-    () => quoteList.length === 0 && completeMessages.length === 0 && tokens === 0,
-    [completeMessages.length, quoteList.length, tokens]
-  );
-
-  const updateQuote = useCallback(async (quoteId: string, sourceText: string) => {}, []);
-
-  const TagStyles: BoxProps = {
-    mr: 2,
-    bg: 'transparent'
-  };
-
-  return isEmpty ? 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>
-      )}
-      {tokens > 0 && (
-        <Tag colorSchema="gray" cursor={'default'} {...TagStyles}>
-          {tokens}tokens
-        </Tag>
-      )}
-      {!!quoteModalData && (
-        <QuoteModal
-          rawSearch={quoteModalData}
-          onUpdateQuote={updateQuote}
-          onClose={() => setQuoteModalData(undefined)}
-        />
-      )}
-      {!!contextModalData && (
-        <ContextModal context={contextModalData} onClose={() => setContextModalData(undefined)} />
-      )}
-    </Flex>
-  );
-};
-
-export default ResponseDetailModal;

client/src/components/ChatBox/index.tsx

@@ -1,857 +0,0 @@
-import React, {
-  useCallback,
-  useRef,
-  useState,
-  useMemo,
-  forwardRef,
-  useImperativeHandle,
-  ForwardedRef,
-  useEffect
-} from 'react';
-import { throttle } from 'lodash';
-import {
-  ChatHistoryItemResType,
-  ChatItemType,
-  ChatSiteItemType,
-  ExportChatType
-} from '@/types/chat';
-import { useToast } from '@/hooks/useToast';
-import {
-  useCopyData,
-  voiceBroadcast,
-  cancelBroadcast,
-  hasVoiceApi,
-  getErrText
-} from '@/utils/tools';
-import { Box, Card, Flex, Input, Textarea, Button, useTheme, BoxProps } from '@chakra-ui/react';
-import { feConfigs } from '@/store/static';
-import { Types } from 'mongoose';
-import { EventNameEnum } from '../Markdown/constant';
-
-import { adaptChatItem_openAI } from '@/utils/plugin/openai';
-import { useMarkdown } from '@/hooks/useMarkdown';
-import { VariableItemType } from '@/types/app';
-import { VariableInputEnum } from '@/constants/app';
-import { useForm } from 'react-hook-form';
-import { MessageItemType } from '@/pages/api/openapi/v1/chat/completions';
-import { fileDownload } from '@/utils/file';
-import { htmlTemplate } from '@/constants/common';
-import { useRouter } from 'next/router';
-import { useGlobalStore } from '@/store/global';
-import { TaskResponseKeyEnum, getDefaultChatVariables } from '@/constants/chat';
-import { useTranslation } from 'react-i18next';
-
-import MyIcon from '@/components/Icon';
-import Avatar from '@/components/Avatar';
-import Markdown from '@/components/Markdown';
-import MySelect from '@/components/Select';
-import MyTooltip from '../MyTooltip';
-import dynamic from 'next/dynamic';
-const ResponseDetailModal = dynamic(() => import('./ResponseDetailModal'));
-
-import styles from './index.module.scss';
-
-const textareaMinH = '22px';
-type generatingMessageProps = { text?: string; name?: string; status?: 'running' | 'finish' };
-export type StartChatFnProps = {
-  messages: MessageItemType[];
-  controller: AbortController;
-  variables: Record<string, any>;
-  generatingMessage: (e: generatingMessageProps) => void;
-};
-
-export type ComponentRef = {
-  getChatHistory: () => ChatSiteItemType[];
-  resetVariables: (data?: Record<string, any>) => void;
-  resetHistory: (chatId: ChatSiteItemType[]) => void;
-  scrollToBottom: (behavior?: 'smooth' | 'auto') => void;
-};
-
-const VariableLabel = ({
-  required = false,
-  children
-}: {
-  required?: boolean;
-  children: React.ReactNode | string;
-}) => (
-  <Box as={'label'} display={'inline-block'} position={'relative'} mb={1}>
-    {children}
-    {required && (
-      <Box position={'absolute'} top={'-2px'} right={'-10px'} color={'red.500'} fontWeight={'bold'}>
-        *
-      </Box>
-    )}
-  </Box>
-);
-
-const Empty = () => {
-  const { data: chatProblem } = useMarkdown({ url: '/chatProblem.md' });
-  const { data: versionIntro } = useMarkdown({ url: '/versionIntro.md' });
-
-  return (
-    <Box pt={6} w={'85%'} maxW={'600px'} m={'auto'} alignItems={'center'} justifyContent={'center'}>
-      {/* version intro */}
-      <Card p={4} mb={10} minH={'200px'}>
-        <Markdown source={versionIntro} />
-      </Card>
-      <Card p={4} minH={'600px'}>
-        <Markdown source={chatProblem} />
-      </Card>
-    </Box>
-  );
-};
-
-const ChatAvatar = ({ src, type }: { src?: string; type: 'Human' | 'AI' }) => {
-  const theme = useTheme();
-  return (
-    <Box
-      w={['28px', '34px']}
-      h={['28px', '34px']}
-      p={'2px'}
-      borderRadius={'lg'}
-      border={theme.borders.base}
-      boxShadow={'0 0 5px rgba(0,0,0,0.1)'}
-      bg={type === 'Human' ? 'white' : 'myBlue.100'}
-    >
-      <Avatar src={src} w={'100%'} h={'100%'} />
-    </Box>
-  );
-};
-
-const ChatBox = (
-  {
-    showEmptyIntro = false,
-    chatId,
-    appAvatar,
-    userAvatar,
-    variableModules,
-    welcomeText,
-    onUpdateVariable,
-    onStartChat,
-    onDelMessage
-  }: {
-    showEmptyIntro?: boolean;
-    chatId?: string;
-    appAvatar?: string;
-    userAvatar?: string;
-    variableModules?: VariableItemType[];
-    welcomeText?: string;
-    onUpdateVariable?: (e: Record<string, any>) => void;
-    onStartChat: (e: StartChatFnProps) => Promise<{
-      responseText: string;
-      [TaskResponseKeyEnum.responseData]: ChatHistoryItemResType[];
-    }>;
-    onDelMessage?: (e: { contentId?: string; index: number }) => void;
-  },
-  ref: ForwardedRef<ComponentRef>
-) => {
-  const ChatBoxRef = useRef<HTMLDivElement>(null);
-  const theme = useTheme();
-  const router = useRouter();
-  const { t } = useTranslation();
-  const { copyData } = useCopyData();
-  const { toast } = useToast();
-  const { isPc } = useGlobalStore();
-  const TextareaDom = useRef<HTMLTextAreaElement>(null);
-  const controller = useRef(new AbortController());
-
-  const [refresh, setRefresh] = useState(false);
-  const [variables, setVariables] = useState<Record<string, any>>({});
-  const [chatHistory, setChatHistory] = useState<ChatSiteItemType[]>([]);
-
-  const isChatting = useMemo(
-    () =>
-      chatHistory[chatHistory.length - 1] &&
-      chatHistory[chatHistory.length - 1]?.status !== 'finish',
-    [chatHistory]
-  );
-  const variableIsFinish = useMemo(() => {
-    if (!variableModules || chatHistory.length > 0) return true;
-
-    for (let i = 0; i < variableModules.length; i++) {
-      const item = variableModules[i];
-      if (item.required && !variables[item.key]) {
-        return false;
-      }
-    }
-
-    return true;
-  }, [chatHistory.length, variableModules, variables]);
-
-  const { register, reset, getValues, setValue, handleSubmit } = useForm<Record<string, any>>({
-    defaultValues: variables
-  });
-
-  // 滚动到底部
-  const scrollToBottom = useCallback(
-    (behavior: 'smooth' | 'auto' = 'smooth') => {
-      if (!ChatBoxRef.current) return;
-      ChatBoxRef.current.scrollTo({
-        top: ChatBoxRef.current.scrollHeight,
-        behavior
-      });
-    },
-    [ChatBoxRef]
-  );
-  // 聊天信息生成中……获取当前滚动条位置，判断是否需要滚动到底部
-  const generatingScroll = useCallback(
-    throttle(() => {
-      if (!ChatBoxRef.current) return;
-      const isBottom =
-        ChatBoxRef.current.scrollTop + ChatBoxRef.current.clientHeight + 150 >=
-        ChatBoxRef.current.scrollHeight;
-
-      isBottom && scrollToBottom('auto');
-    }, 100),
-    []
-  );
-  // eslint-disable-next-line react-hooks/exhaustive-deps
-  const generatingMessage = useCallback(
-    ({ text = '', status, name }: generatingMessageProps) => {
-      setChatHistory((state) =>
-        state.map((item, index) => {
-          if (index !== state.length - 1) return item;
-          return {
-            ...item,
-            ...(text
-              ? {
-                  value: item.value + text
-                }
-              : {}),
-            ...(status && name
-              ? {
-                  status,
-                  moduleName: name
-                }
-              : {})
-          };
-        })
-      );
-      generatingScroll();
-    },
-    [generatingScroll, setChatHistory]
-  );
-
-  // 复制内容
-  const onclickCopy = useCallback(
-    (value: string) => {
-      const val = value.replace(/\n+/g, '\n');
-      copyData(val);
-    },
-    [copyData]
-  );
-
-  // 重置输入内容
-  const resetInputVal = useCallback((val: string) => {
-    if (!TextareaDom.current) return;
-
-    setTimeout(() => {
-      /* 回到最小高度 */
-      if (TextareaDom.current) {
-        TextareaDom.current.value = val;
-        TextareaDom.current.style.height =
-          val === '' ? textareaMinH : `${TextareaDom.current.scrollHeight}px`;
-      }
-    }, 100);
-  }, []);
-
-  /**
-   * user confirm send prompt
-   */
-  const sendPrompt = useCallback(
-    async (variables: Record<string, any> = {}, inputVal = '') => {
-      if (isChatting) {
-        toast({
-          title: '正在聊天中...请等待结束',
-          status: 'warning'
-        });
-        return;
-      }
-      // get input value
-      const val = inputVal.trim().replace(/\n\s*/g, '\n');
-
-      if (!val) {
-        toast({
-          title: '内容为空',
-          status: 'warning'
-        });
-        return;
-      }
-
-      const newChatList: ChatSiteItemType[] = [
-        ...chatHistory,
-        {
-          _id: String(new Types.ObjectId()),
-          obj: 'Human',
-          value: val,
-          status: 'finish'
-        },
-        {
-          _id: String(new Types.ObjectId()),
-          obj: 'AI',
-          value: '',
-          status: 'loading'
-        }
-      ];
-
-      // 插入内容
-      setChatHistory(newChatList);
-
-      // 清空输入内容
-      resetInputVal('');
-      setTimeout(() => {
-        scrollToBottom();
-      }, 100);
-
-      try {
-        // create abort obj
-        const abortSignal = new AbortController();
-        controller.current = abortSignal;
-
-        const messages = adaptChatItem_openAI({ messages: newChatList, reserveId: true });
-
-        const { responseData } = await onStartChat({
-          messages,
-          controller: abortSignal,
-          generatingMessage,
-          variables: {
-            ...getDefaultChatVariables(),
-            ...variables
-          }
-        });
-
-        // set finish status
-        setChatHistory((state) =>
-          state.map((item, index) => {
-            if (index !== state.length - 1) return item;
-            return {
-              ...item,
-              status: 'finish',
-              responseData
-            };
-          })
-        );
-
-        setTimeout(() => {
-          generatingScroll();
-          isPc && TextareaDom.current?.focus();
-        }, 100);
-      } catch (err: any) {
-        toast({
-          title: getErrText(err, '聊天出错了~'),
-          status: 'error',
-          duration: 5000,
-          isClosable: true
-        });
-
-        if (!err?.responseText) {
-          resetInputVal(inputVal);
-          setChatHistory(newChatList.slice(0, newChatList.length - 2));
-        }
-
-        // set finish status
-        setChatHistory((state) =>
-          state.map((item, index) => {
-            if (index !== state.length - 1) return item;
-            return {
-              ...item,
-              status: 'finish'
-            };
-          })
-        );
-      }
-    },
-    [
-      isChatting,
-      chatHistory,
-      resetInputVal,
-      toast,
-      scrollToBottom,
-      onStartChat,
-      generatingMessage,
-      generatingScroll,
-      isPc
-    ]
-  );
-
-  useImperativeHandle(ref, () => ({
-    getChatHistory: () => chatHistory,
-    resetVariables(e) {
-      const defaultVal: Record<string, any> = {};
-      variableModules?.forEach((item) => {
-        defaultVal[item.key] = '';
-      });
-
-      reset(e || defaultVal);
-      setVariables(e || defaultVal);
-    },
-    resetHistory(e) {
-      setChatHistory(e);
-    },
-    scrollToBottom
-  }));
-
-  const controlIconStyle = {
-    w: '14px',
-    cursor: 'pointer',
-    p: 1,
-    bg: 'white',
-    borderRadius: 'lg',
-    boxShadow: '0 0 5px rgba(0,0,0,0.1)',
-    border: theme.borders.base,
-    mr: 3
-  };
-  const controlContainerStyle = {
-    className: 'control',
-    color: 'myGray.400',
-    display: ['flex', 'none'],
-    pl: 1,
-    mt: 2
-  };
-  const MessageCardStyle: BoxProps = {
-    px: 4,
-    py: 3,
-    borderRadius: '0 8px 8px 8px',
-    boxShadow: '0 0 8px rgba(0,0,0,0.15)'
-  };
-
-  const messageCardMaxW = ['calc(100% - 25px)', 'calc(100% - 40px)'];
-
-  const showEmpty = useMemo(
-    () =>
-      feConfigs?.show_emptyChat &&
-      showEmptyIntro &&
-      chatHistory.length === 0 &&
-      !variableModules?.length &&
-      !welcomeText,
-    [chatHistory.length, showEmptyIntro, variableModules, welcomeText]
-  );
-  const statusBoxData = useMemo(() => {
-    const colorMap = {
-      loading: '#67c13b',
-      running: '#67c13b',
-      finish: 'myBlue.600'
-    };
-    if (!isChatting) return;
-    const chatContent = chatHistory[chatHistory.length - 1];
-    if (!chatContent) return;
-
-    return {
-      bg: colorMap[chatContent.status] || colorMap.loading,
-      name: t(chatContent.moduleName || 'Running')
-    };
-  }, [chatHistory, isChatting, t]);
-
-  useEffect(() => {
-    return () => {
-      controller.current?.abort('leave');
-      // close voice
-      cancelBroadcast();
-    };
-  }, [router.query]);
-
-  useEffect(() => {
-    const listen = () => {
-      cancelBroadcast();
-    };
-    window.addEventListener('beforeunload', listen);
-
-    return () => {
-      window.removeEventListener('beforeunload', listen);
-    };
-  }, []);
-
-  return (
-    <Flex flexDirection={'column'} h={'100%'}>
-      <Box ref={ChatBoxRef} flex={'1 0 0'} h={0} w={'100%'} overflow={'overlay'} px={[4, 0]} pb={3}>
-        <Box maxW={['100%', '92%']} h={'100%'} mx={'auto'}>
-          {showEmpty && <Empty />}
-
-          {!!welcomeText && (
-            <Flex flexDirection={'column'} alignItems={'flex-start'} py={2}>
-              {/* avatar */}
-              <ChatAvatar src={appAvatar} type={'AI'} />
-              {/* message */}
-              <Card order={2} mt={2} {...MessageCardStyle} bg={'white'} maxW={messageCardMaxW}>
-                <Markdown
-                  source={`~~~guide \n${welcomeText}`}
-                  isChatting={false}
-                  onClick={(e) => {
-                    const val = e?.data;
-                    if (e?.event !== EventNameEnum.guideClick || !val) return;
-                    handleSubmit((data) => sendPrompt(data, val))();
-                  }}
-                />
-              </Card>
-            </Flex>
-          )}
-          {/* variable input */}
-          {!!variableModules?.length && (
-            <Flex flexDirection={'column'} alignItems={'flex-start'} py={2}>
-              {/* avatar */}
-              <ChatAvatar src={appAvatar} type={'AI'} />
-              {/* message */}
-              <Card
-                order={2}
-                mt={2}
-                bg={'white'}
-                w={'400px'}
-                maxW={messageCardMaxW}
-                {...MessageCardStyle}
-              >
-                {variableModules.map((item) => (
-                  <Box key={item.id} mb={4}>
-                    <VariableLabel required={item.required}>{item.label}</VariableLabel>
-                    {item.type === VariableInputEnum.input && (
-                      <Input
-                        isDisabled={variableIsFinish}
-                        {...register(item.key, {
-                          required: item.required
-                        })}
-                      />
-                    )}
-                    {item.type === VariableInputEnum.select && (
-                      <MySelect
-                        width={'100%'}
-                        isDisabled={variableIsFinish}
-                        list={(item.enums || []).map((item) => ({
-                          label: item.value,
-                          value: item.value
-                        }))}
-                        value={getValues(item.key)}
-                        onchange={(e) => {
-                          setValue(item.key, e);
-                          setRefresh(!refresh);
-                        }}
-                      />
-                    )}
-                  </Box>
-                ))}
-                {!variableIsFinish && (
-                  <Button
-                    leftIcon={<MyIcon name={'chatFill'} w={'16px'} />}
-                    size={'sm'}
-                    maxW={'100px'}
-                    borderRadius={'lg'}
-                    onClick={handleSubmit((data) => {
-                      onUpdateVariable?.(data);
-                      setVariables(data);
-                    })}
-                  >
-                    {'开始对话'}
-                  </Button>
-                )}
-              </Card>
-            </Flex>
-          )}
-
-          {/* chat history */}
-          <Box id={'history'}>
-            {chatHistory.map((item, index) => (
-              <Flex
-                position={'relative'}
-                key={item._id}
-                flexDirection={'column'}
-                alignItems={item.obj === 'Human' ? 'flex-end' : 'flex-start'}
-                py={5}
-                _hover={{
-                  '& .control': {
-                    display: item.status === 'finish' ? 'flex' : 'none'
-                  }
-                }}
-              >
-                {item.obj === 'Human' && (
-                  <>
-                    <Flex w={'100%'} alignItems={'center'} justifyContent={'flex-end'}>
-                      <Flex {...controlContainerStyle} justifyContent={'flex-end'} mr={3}>
-                        <MyTooltip label={'复制'}>
-                          <MyIcon
-                            {...controlIconStyle}
-                            name={'copy'}
-                            _hover={{ color: 'myBlue.700' }}
-                            onClick={() => onclickCopy(item.value)}
-                          />
-                        </MyTooltip>
-                        {onDelMessage && (
-                          <MyTooltip label={'删除'}>
-                            <MyIcon
-                              {...controlIconStyle}
-                              mr={0}
-                              name={'delete'}
-                              _hover={{ color: 'red.600' }}
-                              onClick={() => {
-                                setChatHistory((state) =>
-                                  state.filter((chat) => chat._id !== item._id)
-                                );
-                                onDelMessage({
-                                  contentId: item._id,
-                                  index
-                                });
-                              }}
-                            />
-                          </MyTooltip>
-                        )}
-                      </Flex>
-                      <ChatAvatar src={userAvatar} type={'Human'} />
-                    </Flex>
-                    <Box position={'relative'} maxW={messageCardMaxW} mt={['6px', 2]}>
-                      <Card
-                        className="markdown"
-                        whiteSpace={'pre-wrap'}
-                        {...MessageCardStyle}
-                        bg={'myBlue.300'}
-                        borderRadius={'8px 0 8px 8px'}
-                      >
-                        <Box as={'p'}>{item.value}</Box>
-                      </Card>
-                    </Box>
-                  </>
-                )}
-                {item.obj === 'AI' && (
-                  <>
-                    <Flex w={'100%'} alignItems={'flex-end'}>
-                      <ChatAvatar src={appAvatar} type={'AI'} />
-                      <Flex {...controlContainerStyle} ml={3}>
-                        <MyTooltip label={'复制'}>
-                          <MyIcon
-                            {...controlIconStyle}
-                            name={'copy'}
-                            _hover={{ color: 'myBlue.700' }}
-                            onClick={() => onclickCopy(item.value)}
-                          />
-                        </MyTooltip>
-                        {onDelMessage && (
-                          <MyTooltip label={'删除'}>
-                            <MyIcon
-                              {...controlIconStyle}
-                              name={'delete'}
-                              _hover={{ color: 'red.600' }}
-                              onClick={() => {
-                                setChatHistory((state) =>
-                                  state.filter((chat) => chat._id !== item._id)
-                                );
-                                onDelMessage({
-                                  contentId: item._id,
-                                  index
-                                });
-                              }}
-                            />
-                          </MyTooltip>
-                        )}
-                        {hasVoiceApi && (
-                          <MyTooltip label={'语音播报'}>
-                            <MyIcon
-                              {...controlIconStyle}
-                              name={'voice'}
-                              _hover={{ color: '#E74694' }}
-                              onClick={() => voiceBroadcast({ text: item.value })}
-                            />
-                          </MyTooltip>
-                        )}
-                      </Flex>
-                      {statusBoxData && index === chatHistory.length - 1 && (
-                        <Flex
-                          ml={3}
-                          alignItems={'center'}
-                          px={3}
-                          py={'1px'}
-                          borderRadius="md"
-                          border={theme.borders.base}
-                        >
-                          <Box
-                            className={styles.statusAnimation}
-                            bg={statusBoxData.bg}
-                            w="8px"
-                            h="8px"
-                            borderRadius={'50%'}
-                            mt={'1px'}
-                          ></Box>
-                          <Box ml={2} color={'myGray.600'}>
-                            {statusBoxData.name}
-                          </Box>
-                        </Flex>
-                      )}
-                    </Flex>
-                    <Box position={'relative'} maxW={messageCardMaxW} mt={['6px', 2]}>
-                      <Card bg={'white'} {...MessageCardStyle}>
-                        <Markdown
-                          source={item.value}
-                          isChatting={index === chatHistory.length - 1 && isChatting}
-                        />
-                        <ResponseDetailModal
-                          chatId={chatId}
-                          contentId={item._id}
-                          responseData={item.responseData}
-                        />
-                      </Card>
-                    </Box>
-                  </>
-                )}
-              </Flex>
-            ))}
-          </Box>
-        </Box>
-      </Box>
-      {/* input */}
-      {variableIsFinish ? (
-        <Box m={['0 auto', '10px auto']} w={'100%'} maxW={['auto', 'min(750px, 100%)']} px={[0, 5]}>
-          <Box
-            py={'18px'}
-            position={'relative'}
-            boxShadow={`0 0 10px rgba(0,0,0,0.2)`}
-            borderTop={['1px solid', 0]}
-            borderTopColor={'myGray.200'}
-            borderRadius={['none', 'md']}
-            backgroundColor={'white'}
-          >
-            {/* 输入框 */}
-            <Textarea
-              ref={TextareaDom}
-              py={0}
-              pr={['45px', '55px']}
-              border={'none'}
-              _focusVisible={{
-                border: 'none'
-              }}
-              placeholder="提问"
-              resize={'none'}
-              rows={1}
-              height={'22px'}
-              lineHeight={'22px'}
-              maxHeight={'150px'}
-              maxLength={-1}
-              overflowY={'auto'}
-              whiteSpace={'pre-wrap'}
-              wordBreak={'break-all'}
-              boxShadow={'none !important'}
-              color={'myGray.900'}
-              onChange={(e) => {
-                const textarea = e.target;
-                textarea.style.height = textareaMinH;
-                textarea.style.height = `${textarea.scrollHeight}px`;
-              }}
-              onKeyDown={(e) => {
-                // 触发快捷发送
-                if (isPc && e.keyCode === 13 && !e.shiftKey) {
-                  handleSubmit((data) => sendPrompt(data, TextareaDom.current?.value))();
-                  e.preventDefault();
-                }
-                // 全选内容
-                // @ts-ignore
-                e.key === 'a' && e.ctrlKey && e.target?.select();
-              }}
-            />
-            {/* 发送和等待按键 */}
-            <Flex
-              alignItems={'center'}
-              justifyContent={'center'}
-              h={'25px'}
-              w={'25px'}
-              position={'absolute'}
-              right={['12px', '20px']}
-              bottom={'15px'}
-            >
-              {isChatting ? (
-                <MyIcon
-                  className={styles.stopIcon}
-                  width={['22px', '25px']}
-                  height={['22px', '25px']}
-                  cursor={'pointer'}
-                  name={'stop'}
-                  color={'gray.500'}
-                  onClick={() => controller.current?.abort('stop')}
-                />
-              ) : (
-                <MyIcon
-                  name={'chatSend'}
-                  width={['18px', '20px']}
-                  height={['18px', '20px']}
-                  cursor={'pointer'}
-                  color={'gray.500'}
-                  onClick={() => {
-                    handleSubmit((data) => sendPrompt(data, TextareaDom.current?.value))();
-                  }}
-                />
-              )}
-            </Flex>
-          </Box>
-        </Box>
-      ) : null}
-    </Flex>
-  );
-};
-
-export default React.memo(forwardRef(ChatBox));
-
-export const useChatBox = () => {
-  const onExportChat = useCallback(
-    ({ type, history }: { type: ExportChatType; history: ChatItemType[] }) => {
-      const getHistoryHtml = () => {
-        const historyDom = document.getElementById('history');
-        if (!historyDom) return;
-        const dom = Array.from(historyDom.children).map((child, i) => {
-          const avatar = `<img src="${
-            child.querySelector<HTMLImageElement>('.avatar')?.src
-          }" alt="" />`;
-
-          const chatContent = child.querySelector<HTMLDivElement>('.markdown');
-
-          if (!chatContent) {
-            return '';
-          }
-
-          const chatContentClone = chatContent.cloneNode(true) as HTMLDivElement;
-
-          const codeHeader = chatContentClone.querySelectorAll('.code-header');
-          codeHeader.forEach((childElement: any) => {
-            childElement.remove();
-          });
-
-          return `<div class="chat-item">
-          ${avatar}
-          ${chatContentClone.outerHTML}
-        </div>`;
-        });
-
-        const html = htmlTemplate.replace('{{CHAT_CONTENT}}', dom.join('\n'));
-        return html;
-      };
-
-      const map: Record<ExportChatType, () => void> = {
-        md: () => {
-          fileDownload({
-            text: history.map((item) => item.value).join('\n\n'),
-            type: 'text/markdown',
-            filename: 'chat.md'
-          });
-        },
-        html: () => {
-          const html = getHistoryHtml();
-          html &&
-            fileDownload({
-              text: html,
-              type: 'text/html',
-              filename: '聊天记录.html'
-            });
-        },
-        pdf: () => {
-          const html = getHistoryHtml();
-
-          html &&
-            // @ts-ignore
-            html2pdf(html, {
-              margin: 0,
-              filename: `聊天记录.pdf`
-            });
-        }
-      };
-
-      map[type]();
-    },
-    []
-  );
-
-  return {
-    onExportChat
-  };
-};

client/src/components/ChatBox/utils.ts

@@ -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);
-};

client/src/components/DateRangePicker/index.module.scss

@@ -1,4 +0,0 @@
-.datePicker {
-  --rdp-background-color: #d6e8ff;
-  --rdp-accent-color: #0000ff;
-}

client/src/components/Icon/index.tsx

@@ -1,100 +0,0 @@
-import React from 'react';
-import type { IconProps } from '@chakra-ui/react';
-import { Icon } from '@chakra-ui/react';
-
-const map = {
-  appFill: require('./icons/fill/app.svg').default,
-  appLight: require('./icons/light/app.svg').default,
-  copy: require('./icons/copy.svg').default,
-  chatSend: require('./icons/chatSend.svg').default,
-  delete: require('./icons/delete.svg').default,
-  stop: require('./icons/stop.svg').default,
-  collectionLight: require('./icons/collectionLight.svg').default,
-  collectionSolid: require('./icons/collectionSolid.svg').default,
-  empty: require('./icons/empty.svg').default,
-  back: require('./icons/back.svg').default,
-  backFill: require('./icons/fill/back.svg').default,
-  more: require('./icons/more.svg').default,
-  tabbarChat: require('./icons/phoneTabbar/chat.svg').default,
-  tabbarModel: require('./icons/phoneTabbar/app.svg').default,
-  tabbarMore: require('./icons/phoneTabbar/more.svg').default,
-  tabbarMe: require('./icons/phoneTabbar/me.svg').default,
-  closeSolid: require('./icons/closeSolid.svg').default,
-  wx: require('./icons/wx.svg').default,
-  out: require('./icons/out.svg').default,
-  git: require('./icons/git.svg').default,
-  gitFill: require('./icons/fill/git.svg').default,
-  menu: require('./icons/menu.svg').default,
-  edit: require('./icons/edit.svg').default,
-  inform: require('./icons/inform.svg').default,
-  export: require('./icons/export.svg').default,
-  text: require('./icons/text.svg').default,
-  history: require('./icons/history.svg').default,
-  kbTest: require('./icons/kbTest.svg').default,
-  date: require('./icons/date.svg').default,
-  apikey: require('./icons/apikey.svg').default,
-  save: require('./icons/save.svg').default,
-  minus: require('./icons/minus.svg').default,
-  chat: require('./icons/light/chat.svg').default,
-  chatFill: require('./icons/fill/chat.svg').default,
-  clear: require('./icons/light/clear.svg').default,
-  apiLight: require('./icons/light/appApi.svg').default,
-  overviewLight: require('./icons/light/overview.svg').default,
-  settingLight: require('./icons/light/setting.svg').default,
-  shareLight: require('./icons/light/share.svg').default,
-  dbLight: require('./icons/light/db.svg').default,
-  dbFill: require('./icons/fill/db.svg').default,
-  appStoreLight: require('./icons/light/appStore.svg').default,
-  appStoreFill: require('./icons/fill/appStore.svg').default,
-  meLight: require('./icons/light/me.svg').default,
-  meFill: require('./icons/fill/me.svg').default,
-  welcomeText: require('./icons/modules/welcomeText.svg').default,
-  variable: require('./icons/modules/variable.svg').default,
-  setTop: require('./icons/light/setTop.svg').default,
-  fullScreenLight: require('./icons/light/fullScreen.svg').default,
-  voice: require('./icons/voice.svg').default,
-  html: require('./icons/file/html.svg').default,
-  pdf: require('./icons/file/pdf.svg').default,
-  markdown: require('./icons/file/markdown.svg').default,
-  importLight: require('./icons/light/import.svg').default,
-  manualImport: require('./icons/file/manualImport.svg').default,
-  indexImport: require('./icons/file/indexImport.svg').default,
-  csvImport: require('./icons/file/csv.svg').default,
-  qaImport: require('./icons/file/qaImport.svg').default,
-  uploadFile: require('./icons/file/uploadFile.svg').default,
-  closeLight: require('./icons/light/close.svg').default,
-  customTitle: require('./icons/light/customTitle.svg').default,
-  billRecordLight: require('./icons/light/billRecord.svg').default,
-  informLight: require('./icons/light/inform.svg').default,
-  payRecordLight: require('./icons/light/payRecord.svg').default,
-  loginoutLight: require('./icons/light/loginout.svg').default,
-  chatModelTag: require('./icons/light/chatModelTag.svg').default,
-  language_en: require('./icons/language/en.svg').default,
-  language_zh: require('./icons/language/zh.svg').default,
-  outlink_share: require('./icons/outlink/share.svg').default,
-  outlink_iframe: require('./icons/outlink/iframe.svg').default,
-  addCircle: require('./icons/circle/add.svg').default,
-  playFill: require('./icons/fill/play.svg').default,
-  courseLight: require('./icons/light/course.svg').default
-};
-
-export type IconName = keyof typeof map;
-
-const MyIcon = (
-  { name, w = 'auto', h = 'auto', ...props }: { name: IconName } & IconProps,
-  ref: any
-) => {
-  return map[name] ? (
-    <Icon
-      as={map[name]}
-      w={w}
-      h={h}
-      boxSizing={'content-box'}
-      verticalAlign={'top'}
-      fill={'currentcolor'}
-      {...props}
-    />
-  ) : null;
-};
-
-export default React.forwardRef(MyIcon);

client/src/components/Loading/index.tsx

@@ -1,22 +0,0 @@
-import React from 'react';
-import { Spinner, Flex } from '@chakra-ui/react';
-
-const Loading = ({ fixed = true }: { fixed?: boolean }) => {
-  return (
-    <Flex
-      position={fixed ? 'fixed' : 'absolute'}
-      zIndex={1000}
-      backgroundColor={'rgba(255,255,255,0.5)'}
-      top={0}
-      left={0}
-      right={0}
-      bottom={0}
-      alignItems={'center'}
-      justifyContent={'center'}
-    >
-      <Spinner thickness="4px" speed="0.65s" emptyColor="myGray.100" color="myBlue.600" size="xl" />
-    </Flex>
-  );
-};
-
-export default Loading;

client/src/components/Markdown/Link.tsx

@@ -1,32 +0,0 @@
-import React, { useMemo } from 'react';
-import { Box } from '@chakra-ui/react';
-import Image from './img/Image';
-
-const regex = /((http|https|ftp):\/\/[^\s\u4e00-\u9fa5\u3000-\u303f\uff00-\uffef]+)/gi;
-
-const Link = (props: { href?: string; children?: any }) => {
-  const Html = useMemo(() => {
-    const decText = decodeURIComponent(props.href || '');
-
-    return decText.replace(regex, (match, p1) => {
-      let text = decText === props.children?.[0] ? p1 : props.children?.[0];
-      const isInternal = /^\/#/i.test(p1);
-      const target = isInternal ? '_self' : '_blank';
-
-      if (props?.children?.[0]?.props?.node?.tagName === 'img') {
-        // eslint-disable-next-line @next/next/no-img-element
-        text = `<img src="${props?.children?.[0]?.props?.src}" />`;
-      }
-
-      return `<a href="${p1}" target=${target}>${text}</a>`;
-    });
-  }, [props.children, props.href]);
-
-  return typeof Html === 'string' ? (
-    <Box as={'span'} dangerouslySetInnerHTML={{ __html: Html }} />
-  ) : (
-    Html
-  );
-};
-
-export default React.memo(Link);

client/src/components/Markdown/chat/Guide.tsx

@@ -1,49 +0,0 @@
-import React, { useMemo } from 'react';
-import { Box } from '@chakra-ui/react';
-import ReactMarkdown from 'react-markdown';
-import RemarkGfm from 'remark-gfm';
-import RemarkMath from 'remark-math';
-import RehypeKatex from 'rehype-katex';
-
-import 'katex/dist/katex.min.css';
-import styles from '../index.module.scss';
-import { EventNameEnum } from '../constant';
-
-const Guide = ({ text, onClick }: { text: string; onClick?: (e: any) => void }) => {
-  const formatText = useMemo(() => text.replace(/\[(.*?)\]/g, '[$1]()'), [text]);
-
-  return (
-    <ReactMarkdown
-      className={`markdown ${styles.markdown}`}
-      remarkPlugins={[RemarkGfm, RemarkMath]}
-      rehypePlugins={[RehypeKatex]}
-      components={{
-        a({ children }: any) {
-          return (
-            <Box as={'li'} py={1} m={0}>
-              <Box
-                as={'span'}
-                color={'blue.600'}
-                textDecoration={'underline'}
-                cursor={'pointer'}
-                onClick={() => {
-                  if (!onClick) return;
-                  onClick({
-                    event: EventNameEnum.guideClick,
-                    data: String(children)
-                  });
-                }}
-              >
-                {String(children)}
-              </Box>
-            </Box>
-          );
-        }
-      }}
-    >
-      {formatText}
-    </ReactMarkdown>
-  );
-};
-
-export default React.memo(Guide);

client/src/components/Markdown/constant.ts

@@ -1,3 +0,0 @@
-export enum EventNameEnum {
-  guideClick = 'guideClick'
-}

client/src/constants/flow/index.ts

@@ -1,84 +0,0 @@
-import type { BoxProps } from '@chakra-ui/react';
-
-export enum FlowInputItemTypeEnum {
-  systemInput = 'systemInput', // history, userChatInput, variableInput
-  input = 'input',
-  textarea = 'textarea',
-  numberInput = 'numberInput',
-  select = 'select',
-  slider = 'slider',
-  custom = 'custom',
-  target = 'target',
-  none = 'none',
-  hidden = 'hidden'
-}
-
-export enum FlowOutputItemTypeEnum {
-  answer = 'answer',
-  source = 'source',
-  none = 'none',
-  hidden = 'hidden'
-}
-
-export enum FlowModuleTypeEnum {
-  empty = 'empty',
-  variable = 'variable',
-  userGuide = 'userGuide',
-  questionInput = 'questionInput',
-  historyNode = 'historyNode',
-  chatNode = 'chatNode',
-  kbSearchNode = 'kbSearchNode',
-  tfSwitchNode = 'tfSwitchNode',
-  answerNode = 'answerNode',
-  classifyQuestion = 'classifyQuestion',
-  contentExtract = 'contentExtract',
-  httpRequest = 'httpRequest'
-}
-
-export enum SpecialInputKeyEnum {
-  'answerText' = 'text',
-  'agents' = 'agents' // cq agent key
-}
-
-export enum FlowValueTypeEnum {
-  'string' = 'string',
-  'number' = 'number',
-  'boolean' = 'boolean',
-  'chatHistory' = 'chat_history',
-  'kbQuote' = 'kb_quote',
-  'any' = 'any'
-}
-
-export const FlowValueTypeStyle: Record<`${FlowValueTypeEnum}`, BoxProps> = {
-  [FlowValueTypeEnum.string]: {
-    background: '#36ADEF'
-  },
-  [FlowValueTypeEnum.number]: {
-    background: '#FB7C3C'
-  },
-  [FlowValueTypeEnum.boolean]: {
-    background: '#E7D118'
-  },
-  [FlowValueTypeEnum.chatHistory]: {
-    background: '#00A9A6'
-  },
-  [FlowValueTypeEnum.kbQuote]: {
-    background: '#A558C9'
-  },
-  [FlowValueTypeEnum.any]: {
-    background: '#9CA2A8'
-  }
-};
-
-export const initModuleType: Record<string, boolean> = {
-  [FlowModuleTypeEnum.historyNode]: true,
-  [FlowModuleTypeEnum.questionInput]: true
-};
-
-export const edgeOptions = {
-  style: {
-    strokeWidth: 1.5,
-    stroke: '#5A646Es'
-  }
-};
-export const connectionLineStyle = { strokeWidth: 1.5, stroke: '#5A646Es' };

client/src/constants/flow/inputTemplate.ts

@@ -1,25 +0,0 @@
-import { FlowInputItemType } from '@/types/flow';
-import { SystemInputEnum } from '../app';
-import { FlowInputItemTypeEnum, FlowValueTypeEnum } from './index';
-
-export const Input_Template_TFSwitch: FlowInputItemType = {
-  key: SystemInputEnum.switch,
-  type: FlowInputItemTypeEnum.target,
-  label: '触发器',
-  valueType: FlowValueTypeEnum.any
-};
-
-export const Input_Template_History: FlowInputItemType = {
-  key: SystemInputEnum.history,
-  type: FlowInputItemTypeEnum.target,
-  label: '聊天记录',
-  valueType: FlowValueTypeEnum.chatHistory
-};
-
-export const Input_Template_UserChatInput: FlowInputItemType = {
-  key: SystemInputEnum.userChatInput,
-  type: FlowInputItemTypeEnum.target,
-  label: '用户问题',
-  required: true,
-  valueType: FlowValueTypeEnum.string
-};

client/src/constants/kb.ts

@@ -1,12 +0,0 @@
-import type { KbItemType } from '@/types/plugin';
-
-export const defaultKbDetail: KbItemType = {
-  _id: '',
-  userId: '',
-  updateTime: new Date(),
-  avatar: '/icon/logo.png',
-  name: '',
-  tags: '',
-  totalData: 0,
-  model: 'text-embedding-ada-002'
-};

client/src/constants/model.ts

@@ -1,29 +0,0 @@
-import type { ShareChatEditType } from '@/types/app';
-import type { AppSchema } from '@/types/mongoSchema';
-
-export enum OpenAiChatEnum {
-  'GPT35' = 'gpt-3.5-turbo',
-  'GPT3516k' = 'gpt-3.5-turbo-16k',
-  'FastAI-Plus' = 'gpt-4',
-  'FastAI-Plus32k' = 'gpt-4-32k'
-}
-
-export const defaultApp: AppSchema = {
-  _id: '',
-  userId: 'userId',
-  name: '模型加载中',
-  type: 'basic',
-  avatar: '/icon/logo.png',
-  intro: '',
-  updateTime: Date.now(),
-  share: {
-    isShare: false,
-    isShareDetail: false,
-    collection: 0
-  },
-  modules: []
-};
-
-export const defaultShareChat: ShareChatEditType = {
-  name: ''
-};

client/src/constants/plugin.ts

@@ -1,8 +0,0 @@
-export enum TrainingModeEnum {
-  'qa' = 'qa',
-  'index' = 'index'
-}
-export const TrainingTypeMap = {
-  [TrainingModeEnum.qa]: 'qa',
-  [TrainingModeEnum.index]: 'index'
-};

client/src/constants/user.ts

@@ -1,43 +0,0 @@
-export enum BillSourceEnum {
-  fastgpt = 'fastgpt',
-  api = 'api',
-  shareLink = 'shareLink'
-}
-export enum PageTypeEnum {
-  login = 'login',
-  register = 'register',
-  forgetPassword = 'forgetPassword'
-}
-
-export const BillSourceMap: Record<`${BillSourceEnum}`, string> = {
-  [BillSourceEnum.fastgpt]: 'FastGpt 平台',
-  [BillSourceEnum.api]: 'Api',
-  [BillSourceEnum.shareLink]: '免登录链接'
-};
-
-export enum PromotionEnum {
-  invite = 'invite',
-  shareModel = 'shareModel',
-  withdraw = 'withdraw'
-}
-
-export const PromotionTypeMap = {
-  [PromotionEnum.invite]: '好友充值',
-  [PromotionEnum.shareModel]: '应用分享',
-  [PromotionEnum.withdraw]: '提现'
-};
-
-export enum InformTypeEnum {
-  system = 'system'
-}
-
-export const InformTypeMap = {
-  [InformTypeEnum.system]: {
-    label: '系统通知'
-  }
-};
-
-export enum MyModelsTypeEnum {
-  my = 'my',
-  collection = 'collection'
-}

client/src/pages/_app.tsx

@@ -1,92 +0,0 @@
-import { useEffect, useState } from 'react';
-import type { AppProps } from 'next/app';
-import Script from 'next/script';
-import Head from 'next/head';
-import { ChakraProvider, ColorModeScript } from '@chakra-ui/react';
-import Layout from '@/components/Layout';
-import { theme } from '@/constants/theme';
-import { QueryClient, QueryClientProvider } from '@tanstack/react-query';
-import NProgress from 'nprogress'; //nprogress module
-import Router from 'next/router';
-import { clientInitData, feConfigs } from '@/store/static';
-import { appWithTranslation, useTranslation } from 'next-i18next';
-import { getLangStore } from '@/utils/i18n';
-import { useRouter } from 'next/router';
-
-import 'nprogress/nprogress.css';
-import '@/styles/reset.scss';
-
-//Binding events.
-Router.events.on('routeChangeStart', () => NProgress.start());
-Router.events.on('routeChangeComplete', () => NProgress.done());
-Router.events.on('routeChangeError', () => NProgress.done());
-
-// Create a client
-const queryClient = new QueryClient({
-  defaultOptions: {
-    queries: {
-      refetchOnWindowFocus: false,
-      retry: false,
-      cacheTime: 0
-    }
-  }
-});
-
-function App({ Component, pageProps }: AppProps) {
-  const router = useRouter();
-  const { i18n } = useTranslation();
-
-  const [googleClientVerKey, setGoogleVerKey] = useState<string>();
-  const [baiduTongjiUrl, setBaiduTongjiUrl] = useState<string>();
-
-  useEffect(() => {
-    (async () => {
-      const {
-        feConfigs: { googleClientVerKey, baiduTongjiUrl }
-      } = await clientInitData();
-      setGoogleVerKey(googleClientVerKey);
-      setBaiduTongjiUrl(baiduTongjiUrl);
-    })();
-  }, []);
-
-  useEffect(() => {
-    const lang = getLangStore() || 'zh';
-    i18n?.changeLanguage?.(lang);
-  }, [router.asPath]);
-
-  return (
-    <>
-      <Head>
-        <title>{feConfigs?.systemTitle || 'FastAI'}</title>
-        <meta name="description" content="Embedding + LLM, Build AI knowledge base" />
-        <meta
-          name="viewport"
-          content="width=device-width,initial-scale=1.0,maximum-scale=1.0,minimum-scale=1.0,user-scalable=no, viewport-fit=cover"
-        />
-        <link rel="icon" href="/favicon.ico" />
-      </Head>
-      <Script src="/js/qrcode.min.js" strategy="lazyOnload"></Script>
-      <Script src="/js/pdf.js" strategy="lazyOnload"></Script>
-      <Script src="/js/html2pdf.bundle.min.js" strategy="lazyOnload"></Script>
-      {baiduTongjiUrl && <Script src={baiduTongjiUrl} strategy="lazyOnload"></Script>}
-      {googleClientVerKey && (
-        <>
-          <Script
-            src={`https://www.recaptcha.net/recaptcha/api.js?render=${googleClientVerKey}`}
-            strategy="afterInteractive"
-          ></Script>
-        </>
-      )}
-      <QueryClientProvider client={queryClient}>
-        <ChakraProvider theme={theme}>
-          <ColorModeScript initialColorMode={theme.config.initialColorMode} />
-          <Layout>
-            <Component {...pageProps} />
-          </Layout>
-        </ChakraProvider>
-      </QueryClientProvider>
-    </>
-  );
-}
-
-export default appWithTranslation(App);

client/src/pages/_error.tsx

@@ -1,19 +0,0 @@
-import { useEffect } from 'react';
-import { useRouter } from 'next/router';
-function Error() {
-  const router = useRouter();
-  useEffect(() => {
-    setTimeout(() => {
-      router.replace('/app/list');
-    }, 2000);
-  }, []);
-
-  return (
-    <p>
-      部分系统不兼容，导致页面崩溃。如果可以，请联系作者，反馈下具体操作和页面。大部分是 苹果 的
-      safari 浏览器导致，可以尝试更换 chrome 浏览器。
-    </p>
-  );
-}
-
-export default Error;

client/src/pages/account/index.tsx

@@ -1,153 +0,0 @@
-import React, { useCallback, useRef } from 'react';
-import { Box, Flex, useTheme } from '@chakra-ui/react';
-import { useGlobalStore } from '@/store/global';
-import { useRouter } from 'next/router';
-import dynamic from 'next/dynamic';
-import { clearToken } from '@/utils/user';
-import { useUserStore } from '@/store/user';
-import { useConfirm } from '@/hooks/useConfirm';
-import PageContainer from '@/components/PageContainer';
-import SideTabs from '@/components/SideTabs';
-import Tabs from '@/components/Tabs';
-import UserInfo from './components/Info';
-import { serviceSideProps } from '@/utils/i18n';
-
-const BillTable = dynamic(() => import('./components/BillTable'), {
-  ssr: false
-});
-const PayRecordTable = dynamic(() => import('./components/PayRecordTable'), {
-  ssr: false
-});
-const InformTable = dynamic(() => import('./components/InformTable'), {
-  ssr: false
-});
-
-enum TabEnum {
-  'info' = 'info',
-  'bill' = 'bill',
-  'pay' = 'pay',
-  'inform' = 'inform',
-  'loginout' = 'loginout'
-}
-
-const Account = ({ currentTab }: { currentTab: `${TabEnum}` }) => {
-  const tabList = useRef([
-    {
-      icon: 'meLight',
-      label: 'user.Personal Information',
-      id: TabEnum.info,
-      Component: <BillTable />
-    },
-    {
-      icon: 'billRecordLight',
-      label: 'user.Usage Record',
-      id: TabEnum.bill,
-      Component: <BillTable />
-    },
-    {
-      icon: 'payRecordLight',
-      label: 'user.Recharge Record',
-      id: TabEnum.pay,
-      Component: <PayRecordTable />
-    },
-    {
-      icon: 'informLight',
-      label: 'user.Notice',
-      id: TabEnum.inform,
-      Component: <InformTable />
-    },
-    {
-      icon: 'loginoutLight',
-      label: 'user.Sign Out',
-      id: TabEnum.loginout,
-      Component: () => <></>
-    }
-  ]);
-
-  const { openConfirm, ConfirmModal } = useConfirm({
-    content: '确认退出登录？'
-  });
-
-  const router = useRouter();
-  const theme = useTheme();
-  const { isPc } = useGlobalStore();
-  const { setUserInfo } = useUserStore();
-
-  const setCurrentTab = useCallback(
-    (tab: string) => {
-      if (tab === TabEnum.loginout) {
-        openConfirm(() => {
-          clearToken();
-          setUserInfo(null);
-          router.replace('/login');
-        })();
-      } else {
-        router.replace({
-          query: {
-            currentTab: tab
-          }
-        });
-      }
-    },
-    [openConfirm, router, setUserInfo]
-  );
-
-  return (
-    <PageContainer>
-      <Flex flexDirection={['column', 'row']} h={'100%'} pt={[4, 0]}>
-        {isPc ? (
-          <Flex
-            flexDirection={'column'}
-            p={4}
-            h={'100%'}
-            flex={'0 0 200px'}
-            borderRight={theme.borders.base}
-          >
-            <SideTabs
-              flex={1}
-              mx={'auto'}
-              mt={2}
-              w={'100%'}
-              list={tabList.current}
-              activeId={currentTab}
-              onChange={setCurrentTab}
-            />
-          </Flex>
-        ) : (
-          <Box mb={3}>
-            <Tabs
-              m={'auto'}
-              w={'90%'}
-              size={isPc ? 'md' : 'sm'}
-              list={tabList.current.map((item) => ({
-                id: item.id,
-                label: item.label
-              }))}
-              activeId={currentTab}
-              onChange={setCurrentTab}
-            />
-          </Box>
-        )}
-
-        <Box flex={'1 0 0'} h={'100%'} pb={[4, 0]}>
-          {currentTab === TabEnum.info && <UserInfo />}
-          {currentTab === TabEnum.bill && <BillTable />}
-          {currentTab === TabEnum.pay && <PayRecordTable />}
-          {currentTab === TabEnum.inform && <InformTable />}
-        </Box>
-      </Flex>
-      <ConfirmModal />
-    </PageContainer>
-  );
-};
-
-export async function getServerSideProps(content: any) {
-  return {
-    props: {
-      currentTab: content?.query?.currentTab || TabEnum.info,
-      ...(await serviceSideProps(content))
-    }
-  };
-}
-
-export default Account;

client/src/pages/api/admin/initChat.ts

@@ -1,60 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { authUser } from '@/service/utils/auth';
-import { connectToDatabase, Chat } from '@/service/mongo';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await authUser({ req, authRoot: true });
-    await connectToDatabase();
-
-    const { limit = 1000 } = req.body as { limit: number };
-    let skip = 0;
-    const total = await Chat.countDocuments({
-      chatId: { $exists: false }
-    });
-    let promise = Promise.resolve();
-    console.log(total);
-
-    for (let i = 0; i < total; i += limit) {
-      const skipVal = skip;
-      skip += limit;
-      promise = promise
-        .then(() => init(limit, skipVal))
-        .then(() => {
-          console.log(skipVal);
-        });
-    }
-
-    await promise;
-
-    jsonRes(res, {});
-  } catch (error) {
-    jsonRes(res, {
-      code: 500,
-      error
-    });
-  }
-}
-
-async function init(limit: number, skip: number) {
-  // 遍历 app
-  const chats = await Chat.find(
-    {
-      chatId: { $exists: false }
-    },
-    '_id'
-  )
-    .limit(limit)
-    .skip(skip);
-
-  await Promise.all(
-    chats.map((chat) =>
-      Chat.findByIdAndUpdate(chat._id, {
-        chatId: String(chat._id),
-        source: 'online'
-      })
-    )
-  );
-}

client/src/pages/api/admin/initOutlink.ts

@@ -1,27 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { authUser } from '@/service/utils/auth';
-import { connectToDatabase, OutLink } from '@/service/mongo';
-import { OutLinkTypeEnum } from '@/constants/chat';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await authUser({ req, authRoot: true });
-    await connectToDatabase();
-
-    await OutLink.updateMany(
-      {},
-      {
-        $set: { type: OutLinkTypeEnum.share }
-      }
-    );
-
-    jsonRes(res, {});
-  } catch (error) {
-    jsonRes(res, {
-      code: 500,
-      error
-    });
-  }
-}

client/src/pages/api/admin/initv4.ts

@@ -1,448 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { authUser } from '@/service/utils/auth';
-import { connectToDatabase, App } from '@/service/mongo';
-import { FlowModuleTypeEnum, SpecialInputKeyEnum } from '@/constants/flow';
-import { TaskResponseKeyEnum } from '@/constants/chat';
-import { FlowInputItemType } from '@/types/flow';
-
-const chatModelInput = ({
-  model,
-  temperature,
-  maxToken,
-  systemPrompt,
-  limitPrompt,
-  kbList
-}: {
-  model: string;
-  temperature: number;
-  maxToken: number;
-  systemPrompt: string;
-  limitPrompt: string;
-  kbList: { kbId: string }[];
-}): FlowInputItemType[] => [
-  {
-    key: 'model',
-    value: model,
-    type: 'custom',
-    label: '对话模型',
-    connected: true
-  },
-  {
-    key: 'temperature',
-    value: temperature,
-    label: '温度',
-    type: 'slider',
-    connected: true
-  },
-  {
-    key: 'maxToken',
-    value: maxToken,
-    type: 'custom',
-    label: '回复上限',
-    connected: true
-  },
-  {
-    key: 'systemPrompt',
-    value: systemPrompt,
-    type: 'textarea',
-    label: '系统提示词',
-    connected: true
-  },
-  {
-    key: 'limitPrompt',
-    label: '限定词',
-    type: 'textarea',
-    value: limitPrompt,
-    connected: true
-  },
-  {
-    key: 'switch',
-    type: 'target',
-    label: '触发器',
-    connected: kbList.length > 0
-  },
-  {
-    key: 'quoteQA',
-    type: 'target',
-    label: '引用内容',
-    connected: kbList.length > 0
-  },
-  {
-    key: 'history',
-    type: 'target',
-    label: '聊天记录',
-    connected: true
-  },
-  {
-    key: 'userChatInput',
-    type: 'target',
-    label: '用户问题',
-    connected: true
-  }
-];
-const chatTemplate = ({
-  model,
-  temperature,
-  maxToken,
-  systemPrompt,
-  limitPrompt
-}: {
-  model: string;
-  temperature: number;
-  maxToken: number;
-  systemPrompt: string;
-  limitPrompt: string;
-}) => {
-  return [
-    {
-      flowType: FlowModuleTypeEnum.questionInput,
-      inputs: [
-        {
-          key: 'userChatInput',
-          connected: true
-        }
-      ],
-      outputs: [
-        {
-          key: 'userChatInput',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'userChatInput'
-            }
-          ]
-        }
-      ],
-      position: {
-        x: 464.32198615344566,
-        y: 1602.2698463081606
-      },
-      moduleId: 'userChatInput'
-    },
-    {
-      flowType: FlowModuleTypeEnum.historyNode,
-      inputs: [
-        {
-          key: 'maxContext',
-          value: 10,
-          connected: true
-        },
-        {
-          key: 'history',
-          connected: true
-        }
-      ],
-      outputs: [
-        {
-          key: 'history',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'history'
-            }
-          ]
-        }
-      ],
-      position: {
-        x: 452.5466249541586,
-        y: 1276.3930310334215
-      },
-      moduleId: 'history'
-    },
-    {
-      flowType: FlowModuleTypeEnum.chatNode,
-      inputs: chatModelInput({
-        model,
-        temperature,
-        maxToken,
-        systemPrompt,
-        limitPrompt,
-        kbList: []
-      }),
-      outputs: [
-        {
-          key: TaskResponseKeyEnum.answerText,
-          targets: []
-        }
-      ],
-      position: {
-        x: 981.9682828103937,
-        y: 890.014595014464
-      },
-      moduleId: 'chatModule'
-    }
-  ];
-};
-const kbTemplate = ({
-  model,
-  temperature,
-  maxToken,
-  systemPrompt,
-  limitPrompt,
-  kbList = [],
-  searchSimilarity,
-  searchLimit,
-  searchEmptyText
-}: {
-  model: string;
-  temperature: number;
-  maxToken: number;
-  systemPrompt: string;
-  limitPrompt: string;
-  kbList: { kbId: string }[];
-  searchSimilarity: number;
-  searchLimit: number;
-  searchEmptyText: string;
-}) => {
-  return [
-    {
-      flowType: FlowModuleTypeEnum.questionInput,
-      inputs: [
-        {
-          key: 'userChatInput',
-          connected: true
-        }
-      ],
-      outputs: [
-        {
-          key: 'userChatInput',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'userChatInput'
-            },
-            {
-              moduleId: 'kbSearch',
-              key: 'userChatInput'
-            }
-          ]
-        }
-      ],
-      position: {
-        x: 464.32198615344566,
-        y: 1602.2698463081606
-      },
-      moduleId: 'userChatInput'
-    },
-    {
-      flowType: FlowModuleTypeEnum.historyNode,
-      inputs: [
-        {
-          key: 'maxContext',
-          value: 10,
-          connected: true
-        },
-        {
-          key: 'history',
-          connected: true
-        }
-      ],
-      outputs: [
-        {
-          key: 'history',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'history'
-            }
-          ]
-        }
-      ],
-      position: {
-        x: 452.5466249541586,
-        y: 1276.3930310334215
-      },
-      moduleId: 'history'
-    },
-    {
-      flowType: FlowModuleTypeEnum.kbSearchNode,
-      inputs: [
-        {
-          key: 'kbList',
-          value: kbList,
-          connected: true
-        },
-        {
-          key: 'similarity',
-          value: searchSimilarity,
-          connected: true
-        },
-        {
-          key: 'limit',
-          value: searchLimit,
-          connected: true
-        },
-        {
-          key: 'switch',
-          connected: false
-        },
-        {
-          key: 'userChatInput',
-          connected: true
-        }
-      ],
-      outputs: [
-        {
-          key: 'isEmpty',
-          targets: searchEmptyText
-            ? [
-                {
-                  moduleId: 'emptyText',
-                  key: 'switch'
-                }
-              ]
-            : [
-                {
-                  moduleId: 'chatModule',
-                  key: 'switch'
-                }
-              ]
-        },
-        {
-          key: 'unEmpty',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'switch'
-            }
-          ]
-        },
-        {
-          key: 'quoteQA',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'quoteQA'
-            }
-          ]
-        }
-      ],
-      position: {
-        x: 956.0838440206068,
-        y: 887.462827870246
-      },
-      moduleId: 'kbSearch'
-    },
-    ...(searchEmptyText
-      ? [
-          {
-            flowType: FlowModuleTypeEnum.answerNode,
-            inputs: [
-              {
-                key: 'switch',
-                connected: true
-              },
-              {
-                key: SpecialInputKeyEnum.answerText,
-                value: searchEmptyText,
-                connected: true
-              }
-            ],
-            outputs: [],
-            position: {
-              x: 1553.5815811529146,
-              y: 637.8753731306779
-            },
-            moduleId: 'emptyText'
-          }
-        ]
-      : []),
-    {
-      flowType: FlowModuleTypeEnum.chatNode,
-      inputs: chatModelInput({ model, temperature, maxToken, systemPrompt, limitPrompt, kbList }),
-      outputs: [
-        {
-          key: TaskResponseKeyEnum.answerText,
-          targets: []
-        }
-      ],
-      position: {
-        x: 1551.71405495818,
-        y: 977.4911578918461
-      },
-      moduleId: 'chatModule'
-    }
-  ];
-};
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await authUser({ req, authRoot: true });
-    await connectToDatabase();
-
-    const { limit = 1000 } = req.body as { limit: number };
-    let skip = 0;
-    const total = await App.countDocuments();
-    let promise = Promise.resolve();
-    console.log(total);
-
-    for (let i = 0; i < total; i += limit) {
-      const skipVal = skip;
-      skip += limit;
-      promise = promise
-        .then(() => init(limit, skipVal))
-        .then(() => {
-          console.log(skipVal);
-        });
-    }
-
-    await promise;
-
-    jsonRes(res, {});
-  } catch (error) {
-    jsonRes(res, {
-      code: 500,
-      error
-    });
-  }
-}
-
-async function init(limit: number, skip: number) {
-  // 遍历 app
-  const apps = await App.find(
-    {
-      chat: { $ne: null },
-      modules: { $exists: false }
-      // userId: '63f9a14228d2a688d8dc9e1b'
-    },
-    '_id chat'
-  )
-    .limit(limit)
-    .skip(skip);
-
-  return Promise.all(
-    apps.map(async (app) => {
-      if (!app.chat) return app;
-      const modules = (() => {
-        if (app.chat.relatedKbs.length === 0) {
-          return chatTemplate({
-            model: app.chat.chatModel,
-            temperature: app.chat.temperature,
-            maxToken: app.chat.maxToken,
-            systemPrompt: app.chat.systemPrompt,
-            limitPrompt: app.chat.limitPrompt
-          });
-        } else {
-          return kbTemplate({
-            model: app.chat.chatModel,
-            temperature: app.chat.temperature,
-            maxToken: app.chat.maxToken,
-            systemPrompt: app.chat.systemPrompt,
-            limitPrompt: app.chat.limitPrompt,
-            kbList: app.chat.relatedKbs.map((id) => ({ kbId: id })),
-            searchEmptyText: app.chat.searchEmptyText,
-            searchLimit: app.chat.searchLimit,
-            searchSimilarity: app.chat.searchSimilarity
-          });
-        }
-      })();
-
-      await App.findByIdAndUpdate(app.id, {
-        modules
-      });
-      return modules;
-    })
-  );
-}

client/src/pages/api/app/share/collection.ts

@@ -1,44 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, Collection, App } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-
-/* 模型收藏切换 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { appId } = req.query as { appId: string };
-
-    if (!appId) {
-      throw new Error('缺少参数');
-    }
-    // 凭证校验
-    const { userId } = await authUser({ req, authToken: true });
-
-    await connectToDatabase();
-
-    const collectionRecord = await Collection.findOne({
-      userId,
-      modelId: appId
-    });
-
-    if (collectionRecord) {
-      await Collection.findByIdAndRemove(collectionRecord._id);
-    } else {
-      await Collection.create({
-        userId,
-        modelId: appId
-      });
-    }
-
-    await App.findByIdAndUpdate(appId, {
-      'share.collection': await Collection.countDocuments({ modelId: appId })
-    });
-
-    jsonRes(res);
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

client/src/pages/api/app/share/getModels.ts

@@ -1,106 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, App } from '@/service/mongo';
-import type { PagingData } from '@/types';
-import type { ShareAppItem } from '@/types/app';
-import { authUser } from '@/service/utils/auth';
-import { Types } from 'mongoose';
-
-/* 获取模型列表 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const {
-      searchText = '',
-      pageNum = 1,
-      pageSize = 20
-    } = req.body as { searchText: string; pageNum: number; pageSize: number };
-
-    await connectToDatabase();
-
-    const { userId } = await authUser({ req, authToken: true });
-
-    const regex = new RegExp(searchText, 'i');
-
-    const where = {
-      $and: [
-        { 'share.isShare': true },
-        {
-          $or: [{ name: { $regex: regex } }, { intro: { $regex: regex } }]
-        }
-      ]
-    };
-    const pipeline = [
-      {
-        $match: where
-      },
-      {
-        $lookup: {
-          from: 'collections',
-          let: { modelId: '$_id' },
-          pipeline: [
-            {
-              $match: {
-                $expr: {
-                  $and: [
-                    { $eq: ['$modelId', '$$modelId'] },
-                    {
-                      $eq: ['$userId', userId ? new Types.ObjectId(userId) : new Types.ObjectId()]
-                    }
-                  ]
-                }
-              }
-            }
-          ],
-          as: 'collections'
-        }
-      },
-      {
-        $project: {
-          _id: 1,
-          avatar: { $ifNull: ['$avatar', '/icon/logo.png'] },
-          name: 1,
-          userId: 1,
-          intro: 1,
-          share: 1,
-          isCollection: {
-            $cond: {
-              if: { $gt: [{ $size: '$collections' }, 0] },
-              then: true,
-              else: false
-            }
-          }
-        }
-      },
-      {
-        $sort: { 'share.topNum': -1, 'share.collection': -1 }
-      },
-      {
-        $skip: (pageNum - 1) * pageSize
-      },
-      {
-        $limit: pageSize
-      }
-    ];
-
-    // 获取被分享的模型
-    const [models, total] = await Promise.all([
-      // @ts-ignore
-      App.aggregate(pipeline),
-      App.countDocuments(where)
-    ]);
-
-    jsonRes<PagingData<ShareAppItem>>(res, {
-      data: {
-        pageNum,
-        pageSize,
-        data: models,
-        total
-      }
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

client/src/pages/api/chat/history/updateHistoryQuote.ts

@@ -1,57 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, Chat } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-import { Types } from 'mongoose';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    let {
-      chatId,
-      contentId,
-      quoteId,
-      sourceText = ''
-    } = req.body as {
-      chatId: string;
-      contentId: string;
-      quoteId: string;
-      sourceText: string;
-    };
-    await connectToDatabase();
-
-    const { userId } = await authUser({ req, authToken: true });
-
-    if (!contentId || !chatId || !quoteId) {
-      throw new Error('params is error');
-    }
-
-    await Chat.updateOne(
-      {
-        chatId,
-        userId: new Types.ObjectId(userId),
-        'content._id': new Types.ObjectId(contentId)
-      },
-      {
-        $set: {
-          'content.$.rawSearch.$[quoteElem].source': sourceText
-        }
-      },
-      {
-        arrayFilters: [
-          {
-            'quoteElem.id': quoteId
-          }
-        ]
-      }
-    );
-
-    jsonRes(res, {
-      data: ''
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

client/src/pages/api/chat/removeHistory.ts

@@ -1,39 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, Chat } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-
-type Props = {
-  chatId?: string;
-  appId?: string;
-};
-
-/* clear chat history */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { chatId, appId } = req.query as Props;
-    const { userId } = await authUser({ req, authToken: true });
-
-    await connectToDatabase();
-
-    if (chatId) {
-      await Chat.findOneAndRemove({
-        chatId,
-        userId
-      });
-    }
-    if (appId) {
-      await Chat.deleteMany({
-        appId,
-        userId
-      });
-    }
-
-    jsonRes(res);
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

client/src/pages/api/openapi/getKeys.ts

@@ -1,37 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, OpenApi } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-import { UserOpenApiKey } from '@/types/openapi';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { userId } = await authUser({ req, authToken: true });
-
-    await connectToDatabase();
-
-    const findResponse = await OpenApi.find({ userId }).sort({ _id: -1 });
-
-    // jus save four data
-    const apiKeys = findResponse.map<UserOpenApiKey>(
-      ({ _id, apiKey, createTime, lastUsedTime }) => {
-        return {
-          id: _id,
-          apiKey: `******${apiKey.substring(apiKey.length - 4)}`,
-          createTime,
-          lastUsedTime
-        };
-      }
-    );
-
-    jsonRes(res, {
-      data: apiKeys
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

client/src/pages/api/openapi/kb/pushData.ts

@@ -1,183 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, TrainingData } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-import { authKb } from '@/service/utils/auth';
-import { withNextCors } from '@/service/utils/tools';
-import { TrainingModeEnum } from '@/constants/plugin';
-import { startQueue } from '@/service/utils/tools';
-import { PgClient } from '@/service/pg';
-import { modelToolMap } from '@/utils/plugin';
-
-export type DateItemType = { a: string; q: string; source?: string };
-
-export type Props = {
-  kbId: string;
-  data: DateItemType[];
-  model: string;
-  mode: `${TrainingModeEnum}`;
-  prompt?: string;
-};
-
-export type Response = {
-  insertLen: number;
-};
-
-const modeMaxToken = {
-  [TrainingModeEnum.index]: 6000,
-  [TrainingModeEnum.qa]: 12000
-};
-
-export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { kbId, data, mode, prompt, model } = req.body as Props;
-
-    if (!kbId || !Array.isArray(data) || !model) {
-      throw new Error('缺少参数');
-    }
-
-    // auth model
-    if (mode === TrainingModeEnum.qa && !global.qaModels.find((item) => item.model === model)) {
-      throw new Error('不支持的 QA 拆分模型');
-    }
-    if (
-      mode === TrainingModeEnum.index &&
-      !global.vectorModels.find((item) => item.model === model)
-    ) {
-      throw new Error('不支持的向量生成模型');
-    }
-
-    await connectToDatabase();
-
-    // 凭证校验
-    const { userId } = await authUser({ req });
-
-    jsonRes<Response>(res, {
-      data: await pushDataToKb({
-        kbId,
-        data,
-        userId,
-        mode,
-        prompt,
-        model
-      })
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-});
-
-export async function pushDataToKb({
-  userId,
-  kbId,
-  data,
-  mode,
-  prompt,
-  model
-}: { userId: string } & Props): Promise<Response> {
-  await authKb({
-    userId,
-    kbId
-  });
-
-  // 过滤重复的 qa 内容
-  const set = new Set();
-  const filterData: DateItemType[] = [];
-
-  data.forEach((item) => {
-    const text = item.q + item.a;
-
-    if (mode === TrainingModeEnum.qa) {
-      // count token
-      const token = modelToolMap.countTokens({
-        model: 'gpt-3.5-turbo-16k',
-        messages: [{ obj: 'System', value: item.q }]
-      });
-      if (token > modeMaxToken[TrainingModeEnum.qa]) {
-        return;
-      }
-    }
-
-    if (!set.has(text)) {
-      filterData.push(item);
-      set.add(text);
-    }
-  });
-
-  // 数据库去重
-  const insertData = (
-    await Promise.allSettled(
-      filterData.map(async ({ q, a = '', source }) => {
-        if (mode !== TrainingModeEnum.index) {
-          return Promise.resolve({
-            q,
-            a,
-            source
-          });
-        }
-
-        if (!q) {
-          return Promise.reject('q为空');
-        }
-
-        q = q.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
-        a = a.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
-
-        // Exactly the same data, not push
-        try {
-          const { rows } = await PgClient.query(`
-            SELECT COUNT(*) > 0 AS exists
-            FROM  modelData 
-            WHERE md5(q)=md5('${q}') AND md5(a)=md5('${a}') AND user_id='${userId}' AND kb_id='${kbId}'
-          `);
-          const exists = rows[0]?.exists || false;
-
-          if (exists) {
-            return Promise.reject('已经存在');
-          }
-        } catch (error) {
-          console.log(error);
-          error;
-        }
-        return Promise.resolve({
-          q,
-          a,
-          source
-        });
-      })
-    )
-  )
-    .filter((item) => item.status === 'fulfilled')
-    .map<DateItemType>((item: any) => item.value);
-
-  // 插入记录
-  await TrainingData.insertMany(
-    insertData.map((item) => ({
-      q: item.q,
-      a: item.a,
-      model,
-      source: item.source,
-      userId,
-      kbId,
-      mode,
-      prompt
-    }))
-  );
-
-  insertData.length > 0 && startQueue();
-
-  return {
-    insertLen: insertData.length
-  };
-}
-
-export const config = {
-  api: {
-    bodyParser: {
-      sizeLimit: '20mb'
-    }
-  }
-};

client/src/pages/api/openapi/kb/searchTest.ts

@@ -1,56 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { authUser } from '@/service/utils/auth';
-import { PgClient } from '@/service/pg';
-import { withNextCors } from '@/service/utils/tools';
-import { getVector } from '../plugin/vector';
-import type { KbTestItemType } from '@/types/plugin';
-
-export type Props = {
-  model: string;
-  kbId: string;
-  text: string;
-};
-export type Response = KbTestItemType['results'];
-
-export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { kbId, text, model } = req.body as Props;
-
-    if (!kbId || !text || !model) {
-      throw new Error('缺少参数');
-    }
-
-    // 凭证校验
-    const { userId } = await authUser({ req });
-
-    if (!userId) {
-      throw new Error('缺少用户ID');
-    }
-
-    const { vectors } = await getVector({
-      model,
-      userId,
-      input: [text]
-    });
-
-    const response: any = await PgClient.query(
-      `BEGIN;
-        SET LOCAL ivfflat.probes = ${global.systemEnv.pgIvfflatProbe || 10};
-        select id,q,a,source,(vector <#> '[${
-          vectors[0]
-        }]') * -1 AS score from modelData where kb_id='${kbId}' AND user_id='${userId}' order by vector <#> '[${
-        vectors[0]
-      }]' limit 12;
-        COMMIT;`
-    );
-
-    jsonRes<Response>(res, { data: response?.[2]?.rows || [] });
-  } catch (err) {
-    console.log(err);
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-});

client/src/pages/api/openapi/kb/updateData.ts

@@ -1,70 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { authUser } from '@/service/utils/auth';
-import { PgClient } from '@/service/pg';
-import { withNextCors } from '@/service/utils/tools';
-import { KB, connectToDatabase } from '@/service/mongo';
-import { getVector } from '../plugin/vector';
-
-export type Props = {
-  dataId: string;
-  kbId: string;
-  a?: string;
-  q?: string;
-};
-
-export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { dataId, a = '', q = '', kbId } = req.body as Props;
-
-    if (!dataId) {
-      throw new Error('缺少参数');
-    }
-
-    await connectToDatabase();
-
-    // 凭证校验
-    const { userId } = await authUser({ req });
-
-    // find model
-    const kb = await KB.findById(kbId, 'model');
-
-    if (!kb) {
-      throw new Error("Can't find database");
-    }
-
-    // get vector
-    const { vectors = [] } = await (async () => {
-      if (q) {
-        return getVector({
-          userId,
-          input: [q],
-          model: kb.model
-        });
-      }
-      return { vectors: [[]] };
-    })();
-
-    // 更新 pg 内容.仅修改a，不需要更新向量。
-    await PgClient.update('modelData', {
-      where: [['id', dataId], 'AND', ['user_id', userId]],
-      values: [
-        { key: 'source', value: '手动修改' },
-        { key: 'a', value: a.replace(/'/g, '"') },
-        ...(q
-          ? [
-              { key: 'q', value: q.replace(/'/g, '"') },
-              { key: 'vector', value: `[${vectors[0]}]` }
-            ]
-          : [])
-      ]
-    });
-
-    jsonRes(res);
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-});

client/src/pages/api/openapi/plugin/vector.ts

@@ -1,88 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { authBalanceByUid, authUser } from '@/service/utils/auth';
-import { withNextCors } from '@/service/utils/tools';
-import { getAIChatApi, axiosConfig } from '@/service/ai/openai';
-import { pushGenerateVectorBill } from '@/service/events/pushBill';
-
-type Props = {
-  model: string;
-  input: string[];
-};
-type Response = {
-  tokenLen: number;
-  vectors: number[][];
-};
-
-export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { userId } = await authUser({ req });
-    let { input, model } = req.query as Props;
-
-    if (!Array.isArray(input)) {
-      throw new Error('缺少参数');
-    }
-
-    jsonRes<Response>(res, {
-      data: await getVector({ userId, input, model })
-    });
-  } catch (err) {
-    console.log(err);
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-});
-
-export async function getVector({
-  model = 'text-embedding-ada-002',
-  userId,
-  input
-}: { userId?: string } & Props) {
-  userId && (await authBalanceByUid(userId));
-
-  for (let i = 0; i < input.length; i++) {
-    if (!input[i]) {
-      return Promise.reject({
-        code: 500,
-        message: '向量生成模块输入内容为空'
-      });
-    }
-  }
-
-  // 获取 chatAPI
-  const chatAPI = getAIChatApi();
-
-  // 把输入的内容转成向量
-  const result = await chatAPI
-    .createEmbedding(
-      {
-        model,
-        input
-      },
-      {
-        timeout: 60000,
-        ...axiosConfig()
-      }
-    )
-    .then((res) => {
-      if (!res.data?.usage?.total_tokens) {
-        // @ts-ignore
-        return Promise.reject(res.data?.error?.message || 'Embedding Error');
-      }
-      return {
-        tokenLen: res.data.usage.total_tokens || 0,
-        vectors: res.data.data.map((item) => item.embedding)
-      };
-    });
-
-  userId &&
-    pushGenerateVectorBill({
-      userId,
-      tokenLen: result.tokenLen,
-      model
-    });
-
-  return result;
-}

client/src/pages/api/openapi/postKey.ts

@@ -1,37 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, OpenApi } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-import { customAlphabet } from 'nanoid';
-const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 24);
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { userId } = await authUser({ req, authToken: true });
-
-    await connectToDatabase();
-
-    const count = await OpenApi.find({ userId }).countDocuments();
-
-    if (count >= 10) {
-      throw new Error('最多 10 组 API 秘钥');
-    }
-
-    const apiKey = `fastgpt-${nanoid()}`;
-
-    await OpenApi.create({
-      userId,
-      apiKey
-    });
-
-    jsonRes(res, {
-      data: apiKey
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

client/src/pages/api/openapi/text/gptMessagesSlice.ts

@@ -1,67 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { authUser } from '@/service/utils/auth';
-import type { ChatItemType } from '@/types/chat';
-import { countOpenAIToken } from '@/utils/plugin/openai';
-import { OpenAiChatEnum } from '@/constants/model';
-
-type ModelType = `${OpenAiChatEnum}`;
-
-type Props = {
-  messages: ChatItemType[];
-  model: ModelType;
-  maxLen: number;
-};
-type Response = ChatItemType[];
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await authUser({ req });
-
-    const { messages, model, maxLen } = req.body as Props;
-
-    if (!Array.isArray(messages) || !model || !maxLen) {
-      throw new Error('params is error');
-    }
-
-    return jsonRes<Response>(res, {
-      data: gpt_chatItemTokenSlice({
-        messages,
-        model,
-        maxToken: maxLen
-      })
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
-
-export function gpt_chatItemTokenSlice({
-  messages,
-  model = 'gpt-3.5-turbo',
-  maxToken
-}: {
-  messages: ChatItemType[];
-  model?: string;
-  maxToken: number;
-}) {
-  let result: ChatItemType[] = [];
-
-  for (let i = 0; i < messages.length; i++) {
-    const msgs = [...result, messages[i]];
-
-    const tokens = countOpenAIToken({ messages: msgs, model });
-
-    if (tokens < maxToken) {
-      result = msgs;
-    } else {
-      break;
-    }
-  }
-
-  return result.length === 0 && messages[0] ? [messages[0]] : result;
-}

client/src/pages/api/openapi/text/sensitiveCheck.ts

@@ -1,51 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { authUser } from '@/service/utils/auth';
-import axios from 'axios';
-import { axiosConfig } from '@/service/ai/openai';
-
-export type Props = {
-  input: string;
-};
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await authUser({ req });
-
-    const result = await sensitiveCheck(req.body);
-
-    jsonRes(res, {
-      data: result,
-      message: result
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
-
-export async function sensitiveCheck({ input }: Props) {
-  const response = await axios({
-    ...axiosConfig(),
-    method: 'POST',
-    url: `/moderations`,
-    data: {
-      input
-    }
-  });
-
-  const data = (response.data.results?.[0]?.category_scores as Record<string, number>) || {};
-
-  const values = Object.values(data);
-
-  for (const val of values) {
-    if (val > 0.2) {
-      return Promise.reject('您的内容不合规');
-    }
-  }
-
-  return '';
-}

client/src/pages/api/plugins/kb/data/exportModelData.ts

@@ -1,80 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, User } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-import { PgClient } from '@/service/pg';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    let { kbId } = req.query as {
-      kbId: string;
-    };
-
-    if (!kbId) {
-      throw new Error('缺少参数');
-    }
-
-    await connectToDatabase();
-
-    // 凭证校验
-    const { userId } = await authUser({ req, authToken: true });
-
-    const thirtyMinutesAgo = new Date(Date.now() - 30 * 60 * 1000);
-
-    // auth export times
-    const authTimes = await User.findOne(
-      {
-        _id: userId,
-        $or: [
-          { 'limit.exportKbTime': { $exists: false } },
-          { 'limit.exportKbTime': { $lte: thirtyMinutesAgo } }
-        ]
-      },
-      '_id limit'
-    );
-
-    if (!authTimes) {
-      throw new Error('上次导出未到半小时，每半小时仅可导出一次。');
-    }
-
-    // 统计数据
-    const count = await PgClient.count('modelData', {
-      where: [['kb_id', kbId], 'AND', ['user_id', userId]]
-    });
-    // 从 pg 中获取所有数据
-    const pgData = await PgClient.select<{ q: string; a: string; source: string }>('modelData', {
-      where: [['kb_id', kbId], 'AND', ['user_id', userId]],
-      fields: ['q', 'a', 'source'],
-      order: [{ field: 'id', mode: 'DESC' }],
-      limit: count
-    });
-
-    const data: [string, string, string][] = pgData.rows.map((item) => [
-      item.q.replace(/\n/g, '\\n'),
-      item.a.replace(/\n/g, '\\n'),
-      item.source
-    ]);
-
-    // update export time
-    await User.findByIdAndUpdate(userId, {
-      'limit.exportKbTime': new Date()
-    });
-
-    jsonRes(res, {
-      data
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
-
-export const config = {
-  api: {
-    bodyParser: {
-      sizeLimit: '100mb'
-    }
-  }
-};

client/src/pages/api/plugins/kb/data/getDataById.ts

@@ -1,46 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-import { PgClient } from '@/service/pg';
-import type { KbDataItemType } from '@/types/plugin';
-
-export type Response = {
-  id: string;
-  q: string;
-  a: string;
-  source: string;
-};
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    let { dataId } = req.query as {
-      dataId: string;
-    };
-    if (!dataId) {
-      throw new Error('缺少参数');
-    }
-
-    // 凭证校验
-    const { userId } = await authUser({ req, authToken: true });
-
-    await connectToDatabase();
-
-    const where: any = [['user_id', userId], 'AND', ['id', dataId]];
-
-    const searchRes = await PgClient.select<KbDataItemType>('modelData', {
-      fields: ['kb_id', 'id', 'q', 'a', 'source'],
-      where,
-      limit: 1
-    });
-
-    jsonRes(res, {
-      data: searchRes.rows[0]
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

client/src/pages/api/plugins/kb/data/getTrainingData.ts

@@ -1,52 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, TrainingData } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-import { TrainingModeEnum } from '@/constants/plugin';
-import { Types } from 'mongoose';
-import { startQueue } from '@/service/utils/tools';
-
-/* 拆分数据成QA */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { kbId, init = false } = req.body as { kbId: string; init: boolean };
-    if (!kbId) {
-      throw new Error('参数错误');
-    }
-    await connectToDatabase();
-
-    const { userId } = await authUser({ req, authToken: true });
-
-    // split queue data
-    const result = await TrainingData.aggregate([
-      {
-        $match: {
-          userId: new Types.ObjectId(userId),
-          kbId: new Types.ObjectId(kbId)
-        }
-      },
-      {
-        $group: {
-          _id: '$mode',
-          count: { $sum: 1 }
-        }
-      }
-    ]);
-
-    jsonRes(res, {
-      data: {
-        qaListLen: result.find((item) => item._id === TrainingModeEnum.qa)?.count || 0,
-        vectorListLen: result.find((item) => item._id === TrainingModeEnum.index)?.count || 0
-      }
-    });
-
-    if (init) {
-      startQueue();
-    }
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

client/src/pages/api/plugins/kb/delete.ts

@@ -1,55 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, KB, App, TrainingData } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-import { PgClient } from '@/service/pg';
-import { Types } from 'mongoose';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { id } = req.query as {
-      id: string;
-    };
-
-    if (!id) {
-      throw new Error('缺少参数');
-    }
-
-    // 凭证校验
-    const { userId } = await authUser({ req, authToken: true });
-
-    await connectToDatabase();
-
-    // delete all pg data
-    await PgClient.delete('modelData', {
-      where: [['user_id', userId], 'AND', ['kb_id', id]]
-    });
-
-    // delete training data
-    await TrainingData.deleteMany({
-      userId,
-      kbId: id
-    });
-
-    // delete related app
-    await App.updateMany(
-      {
-        userId
-      },
-      { $pull: { 'chat.relatedKbs': new Types.ObjectId(id) } }
-    );
-
-    // delete kb data
-    await KB.findOneAndDelete({
-      _id: id,
-      userId
-    });
-
-    jsonRes(res);
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

client/src/pages/api/plugins/kb/list.ts

@@ -1,39 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, KB } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-import { KbListItemType } from '@/types/plugin';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    // 凭证校验
-    const { userId } = await authUser({ req, authToken: true });
-
-    await connectToDatabase();
-
-    const kbList = await KB.find(
-      {
-        userId
-      },
-      '_id avatar name tags'
-    ).sort({ updateTime: -1 });
-
-    const data = await Promise.all(
-      kbList.map(async (item) => ({
-        _id: item._id,
-        avatar: item.avatar,
-        name: item.name,
-        tags: item.tags
-      }))
-    );
-
-    jsonRes<KbListItemType[]>(res, {
-      data
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

client/src/pages/api/plugins/kb/update.ts

@@ -1,39 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, KB } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-import type { KbUpdateParams } from '@/api/plugins/kb';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { id, name, tags, avatar } = req.body as KbUpdateParams;
-
-    if (!id || !name) {
-      throw new Error('缺少参数');
-    }
-
-    // 凭证校验
-    const { userId } = await authUser({ req, authToken: true });
-
-    await connectToDatabase();
-
-    await KB.findOneAndUpdate(
-      {
-        _id: id,
-        userId
-      },
-      {
-        avatar,
-        name,
-        tags: tags.split(' ').filter((item) => item)
-      }
-    );
-
-    jsonRes(res);
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

client/src/pages/api/system/getInitData.ts

@@ -1,114 +0,0 @@
-import type { FeConfigsType } from '@/types';
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { readFileSync } from 'fs';
-import {
-  type QAModelItemType,
-  type ChatModelItemType,
-  type VectorModelItemType
-} from '@/types/model';
-
-export type InitDateResponse = {
-  chatModels: ChatModelItemType[];
-  qaModels: QAModelItemType[];
-  vectorModels: VectorModelItemType[];
-  feConfigs: FeConfigsType;
-};
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  if (!global.feConfigs) {
-    await getInitConfig();
-  }
-  jsonRes<InitDateResponse>(res, {
-    data: {
-      feConfigs: global.feConfigs,
-      chatModels: global.chatModels,
-      qaModels: global.qaModels,
-      vectorModels: global.vectorModels
-    }
-  });
-}
-
-const defaultSystemEnv = {
-  vectorMaxProcess: 15,
-  qaMaxProcess: 15,
-  pgIvfflatProbe: 20
-};
-const defaultFeConfigs = {
-  show_emptyChat: true,
-  show_register: false,
-  show_appStore: false,
-  show_userDetail: false,
-  show_git: true,
-  systemTitle: 'FastAI',
-  authorText: 'Made by FastAI Team.'
-};
-const defaultChatModels = [
-  {
-    model: 'gpt-3.5-turbo',
-    name: 'FastAI-4k',
-    contextMaxToken: 4000,
-    quoteMaxToken: 2400,
-    maxTemperature: 1.2,
-    price: 1.5
-  },
-  {
-    model: 'gpt-3.5-turbo-16k',
-    name: 'FastAI-16k',
-    contextMaxToken: 16000,
-    quoteMaxToken: 8000,
-    maxTemperature: 1.2,
-    price: 3
-  },
-  {
-    model: 'gpt-4',
-    name: 'FastAI-Plus',
-    contextMaxToken: 8000,
-    quoteMaxToken: 4000,
-    maxTemperature: 1.2,
-    price: 45
-  }
-];
-const defaultQAModels = [
-  {
-    model: 'gpt-3.5-turbo-16k',
-    name: 'FastAI-16k',
-    maxToken: 16000,
-    price: 3
-  }
-];
-const defaultVectorModels = [
-  {
-    model: 'text-embedding-ada-002',
-    name: 'Embedding-2',
-    price: 0.2
-  }
-];
-
-export async function getInitConfig() {
-  try {
-    const filename =
-      process.env.NODE_ENV === 'development' ? 'data/config.local.json' : '/app/data/config.json';
-    const res = JSON.parse(readFileSync(filename, 'utf-8'));
-    console.log(res);
-
-    global.systemEnv = res.SystemParams || defaultSystemEnv;
-    global.feConfigs = res.FeConfig || defaultFeConfigs;
-    global.chatModels = res.ChatModels || defaultChatModels;
-    global.qaModels = res.QAModels || defaultQAModels;
-    global.vectorModels = res.VectorModels || defaultVectorModels;
-    global.systemPlugins = res.plugins || {};
-  } catch (error) {
-    setDefaultData();
-    console.log('get init config error, set default', error);
-  }
-}
-
-export function setDefaultData() {
-  global.systemEnv = defaultSystemEnv;
-  global.feConfigs = defaultFeConfigs;
-  global.chatModels = defaultChatModels;
-  global.qaModels = defaultQAModels;
-  global.vectorModels = defaultVectorModels;
-  global.systemPlugins = {};
-}

client/src/pages/api/user/account/gitLogin.ts

@@ -1,117 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { User } from '@/service/models/user';
-import { generateToken, setCookie } from '@/service/utils/tools';
-import axios from 'axios';
-import { parseQueryString } from '@/utils/tools';
-import { customAlphabet } from 'nanoid';
-const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 8);
-
-type GithubAccessTokenType = {
-  access_token: string;
-  expires_in: number;
-  refresh_token: string;
-  refresh_token_expires_in: number;
-  token_type: 'bearer';
-  scope: string;
-};
-type GithubUserType = {
-  login: string;
-  email: string;
-  avatar_url: string;
-};
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { code } = req.query as { code: string };
-
-    const { data: gitAccessToken } = await axios.post<string>(
-      `https://github.com/login/oauth/access_token?client_id=${global.feConfigs.gitLoginKey}&client_secret=${global.systemEnv.gitLoginSecret}&code=${code}`
-    );
-    const jsonGitAccessToken = parseQueryString(gitAccessToken) as GithubAccessTokenType;
-
-    const access_token = jsonGitAccessToken?.access_token;
-    if (!access_token) {
-      throw new Error('access_token is null');
-    }
-
-    const { data } = await axios.get<GithubUserType>('https://api.github.com/user', {
-      headers: {
-        Authorization: `Bearer ${access_token}`
-      }
-    });
-    const { login, avatar_url } = data;
-    const username = `git-${login}`;
-
-    try {
-      jsonRes(res, {
-        data: await loginByUsername({ username, res })
-      });
-    } catch (err: any) {
-      if (err?.code === 500) {
-        jsonRes(res, {
-          data: await registerUser({ username, avatar: avatar_url, res })
-        });
-        return;
-      }
-      throw new Error(err);
-    }
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
-
-export async function loginByUsername({
-  username,
-  res
-}: {
-  username: string;
-  res: NextApiResponse;
-}) {
-  const user = await User.findOne({ username });
-
-  if (!user) {
-    return Promise.reject({
-      code: 500
-    });
-  }
-
-  const token = generateToken(user._id);
-  setCookie(res, token);
-  return { user, token };
-}
-
-export async function registerUser({
-  username,
-  avatar,
-  res
-}: {
-  username: string;
-  avatar?: string;
-  res: NextApiResponse;
-}) {
-  const response = await User.create({
-    username,
-    avatar,
-    password: nanoid()
-  });
-
-  // 根据 id 获取用户信息
-  const user = await User.findById(response._id);
-
-  if (!user) {
-    return Promise.reject('获取用户信息异常');
-  }
-
-  const token = generateToken(user._id);
-  setCookie(res, token);
-
-  return {
-    user,
-    token
-  };
-}

client/src/pages/api/user/account/register.ts

@@ -1,64 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { User } from '@/service/models/user';
-import { connectToDatabase } from '@/service/mongo';
-import { generateToken, setCookie } from '@/service/utils/tools';
-import { UserAuthTypeEnum } from '@/constants/common';
-import { authCode } from '@/service/api/plugins';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { username, code, password, inviterId } = req.body;
-
-    if (!username || !code || !password) {
-      throw new Error('缺少参数');
-    }
-
-    await connectToDatabase();
-
-    // 验证码校验
-    await authCode({
-      username,
-      type: UserAuthTypeEnum.register,
-      code
-    });
-
-    // 重名校验
-    const authRepeat = await User.findOne({
-      username
-    });
-
-    if (authRepeat) {
-      throw new Error('该用户已被注册');
-    }
-
-    const response = await User.create({
-      username,
-      password,
-      inviterId: inviterId ? inviterId : undefined
-    });
-
-    // 根据 id 获取用户信息
-    const user = await User.findById(response._id);
-
-    if (!user) {
-      throw new Error('获取用户信息异常');
-    }
-
-    const token = generateToken(user._id);
-    setCookie(res, token);
-
-    jsonRes(res, {
-      data: {
-        user,
-        token
-      }
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

client/src/pages/api/user/account/updatePasswordByCode.ts

@@ -1,65 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { User } from '@/service/models/user';
-import { connectToDatabase } from '@/service/mongo';
-import { UserAuthTypeEnum } from '@/constants/common';
-import { generateToken, setCookie } from '@/service/utils/tools';
-import { authCode } from '@/service/api/plugins';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { username, code, password } = req.body;
-
-    if (!username || !code || !password) {
-      throw new Error('缺少参数');
-    }
-
-    await connectToDatabase();
-
-    // 验证码校验
-    await authCode({
-      username,
-      code,
-      type: UserAuthTypeEnum.findPassword
-    });
-
-    if (!authCode) {
-      throw new Error('验证码错误');
-    }
-
-    // 更新对应的记录
-    await User.updateOne(
-      {
-        username
-      },
-      {
-        password
-      }
-    );
-
-    // 根据 username 获取用户信息
-    const user = await User.findOne({
-      username
-    });
-
-    if (!user) {
-      throw new Error('获取用户信息异常');
-    }
-
-    const token = generateToken(user._id);
-    setCookie(res, token);
-
-    jsonRes(res, {
-      data: {
-        user,
-        token
-      }
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

client/src/pages/api/user/checkPayResult.ts

@@ -1,112 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { User, Pay, TrainingData } from '@/service/mongo';
-import { authUser } from '@/service/utils/auth';
-import { PaySchema } from '@/types/mongoSchema';
-import dayjs from 'dayjs';
-import { startQueue } from '@/service/utils/tools';
-import { getWxPayQRResult } from '@/service/api/plugins';
-
-/* 校验支付结果 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { payId } = req.query as { payId: string };
-
-    const { userId } = await authUser({ req, authToken: true });
-
-    // 查找订单记录校验
-    const payOrder = await Pay.findById<PaySchema>(payId);
-
-    if (!payOrder) {
-      throw new Error('订单不存在');
-    }
-    if (payOrder.status !== 'NOTPAY') {
-      throw new Error('订单已结算');
-    }
-
-    // 获取当前用户
-    const user = await User.findById(userId);
-    if (!user) {
-      throw new Error('找不到用户');
-    }
-
-    const payRes = await getWxPayQRResult(payOrder.orderId);
-
-    if (payRes.trade_state === 'SUCCESS') {
-      // 订单已支付
-      try {
-        // 更新订单状态. 如果没有合适的订单，说明订单重复了
-        const updateRes = await Pay.updateOne(
-          {
-            _id: payId,
-            status: 'NOTPAY'
-          },
-          {
-            status: 'SUCCESS'
-          }
-        );
-        if (updateRes.modifiedCount === 1) {
-          // 给用户账号充钱
-          await User.findByIdAndUpdate(userId, {
-            $inc: { balance: payOrder.price }
-          });
-
-          unlockTask(userId);
-          return jsonRes(res, {
-            data: '支付成功'
-          });
-        }
-      } catch (error) {
-        console.log(error);
-        // roll back status
-        try {
-          await Pay.findByIdAndUpdate(payId, {
-            status: 'NOTPAY'
-          });
-        } catch (error) {}
-      }
-      return jsonRes(res, {
-        code: 500,
-        data: '更新订单失败,请重试'
-      });
-    }
-
-    // 校验下是否超过一天
-    const orderTime = dayjs(payOrder.createTime);
-    const diffInHours = dayjs().diff(orderTime, 'hours');
-
-    if (payRes.trade_state === 'CLOSED' || diffInHours > 24) {
-      // 订单已关闭
-      await Pay.findByIdAndUpdate(payId, {
-        status: 'CLOSED'
-      });
-      return jsonRes(res, {
-        code: 500,
-        data: '订单已过期'
-      });
-    }
-    throw new Error(payRes?.trade_state_desc || '订单无效');
-  } catch (err) {
-    // console.log(err);
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
-
-async function unlockTask(userId: string) {
-  try {
-    await TrainingData.updateMany(
-      {
-        userId
-      },
-      {
-        lockTime: new Date('2000/1/1')
-      }
-    );
-    startQueue();
-  } catch (error) {
-    unlockTask(userId);
-  }
-}

client/src/pages/api/user/getPayCode.ts

@@ -1,37 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { authUser } from '@/service/utils/auth';
-import { Pay } from '@/service/mongo';
-import { PRICE_SCALE } from '@/constants/common';
-import { getWxPayQRUrl } from '@/service/api/plugins';
-
-/* 获取支付二维码 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    let { amount = 0 } = req.query as { amount: string };
-    amount = +amount;
-
-    const { userId } = await authUser({ req, authToken: true });
-
-    const { code_url, orderId } = await getWxPayQRUrl(amount);
-
-    // add one pay record
-    const payOrder = await Pay.create({
-      userId,
-      price: amount * PRICE_SCALE,
-      orderId
-    });
-
-    jsonRes(res, {
-      data: {
-        payId: payOrder._id,
-        codeUrl: code_url
-      }
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

client/src/pages/api/user/sendAuthCode.ts

@@ -1,47 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { UserAuthTypeEnum } from '@/constants/common';
-import { authGoogleToken } from '@/utils/plugin/google';
-import requestIp from 'request-ip';
-import { sendCode } from '@/service/api/plugins';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { username, type, googleToken } = req.body as {
-      username: string;
-      type: `${UserAuthTypeEnum}`;
-      googleToken: string;
-    };
-
-    if (!username || !type) {
-      throw new Error('缺少参数');
-    }
-
-    // google auth
-    global.systemEnv.googleServiceVerKey &&
-      (await authGoogleToken({
-        secret: global.systemEnv.googleServiceVerKey,
-        response: googleToken,
-        remoteip: requestIp.getClientIp(req) || undefined
-      }));
-
-    // register switch
-    if (type === UserAuthTypeEnum.register && !global.feConfigs?.show_register) {
-      throw new Error('Register is closed');
-    }
-
-    await sendCode({
-      username,
-      type
-    });
-
-    jsonRes(res, {
-      message: '发送验证码成功'
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

client/src/pages/app/detail/components/API.tsx

@@ -1,92 +0,0 @@
-import React, { useEffect, useState } from 'react';
-import { Box, Divider, Flex, useTheme, Button, Skeleton, useDisclosure } from '@chakra-ui/react';
-import { useCopyData } from '@/utils/tools';
-import dynamic from 'next/dynamic';
-import MyIcon from '@/components/Icon';
-import { useGlobalStore } from '@/store/global';
-
-const APIKeyModal = dynamic(() => import('@/components/APIKeyModal'), {
-  ssr: false
-});
-
-const API = ({ appId }: { appId: string }) => {
-  const theme = useTheme();
-  const { copyData } = useCopyData();
-  const [baseUrl, setBaseUrl] = useState('https://fastgpt.run/api/openapi');
-  const {
-    isOpen: isOpenAPIModal,
-    onOpen: onOpenAPIModal,
-    onClose: onCloseAPIModal
-  } = useDisclosure();
-  const [isLoaded, setIsLoaded] = useState(false);
-
-  const { isPc } = useGlobalStore();
-
-  useEffect(() => {
-    setBaseUrl(`${location.origin}/api/openapi`);
-  }, []);
-
-  return (
-    <Flex flexDirection={'column'} pt={[0, 5]} h={'100%'}>
-      <Flex px={5} alignItems={'center'}>
-        <Box flex={1}>
-          AppId:
-          <Box
-            as={'span'}
-            ml={2}
-            fontWeight={'bold'}
-            cursor={'pointer'}
-            onClick={() => copyData(appId, '已复制 AppId')}
-          >
-            {appId}
-          </Box>
-        </Box>
-        {isPc && (
-          <>
-            <Flex
-              bg={'myWhite.600'}
-              py={2}
-              px={4}
-              borderRadius={'md'}
-              cursor={'pointer'}
-              onClick={() => copyData(baseUrl, '已复制 API 地址')}
-            >
-              <Box border={theme.borders.md} px={2} borderRadius={'md'} fontSize={'sm'}>
-                API服务器
-              </Box>
-              <Box ml={2} color={'myGray.900'} fontSize={['sm', 'md']}>
-                {baseUrl}
-              </Box>
-            </Flex>
-            <Button
-              ml={3}
-              leftIcon={<MyIcon name={'apikey'} w={'16px'} color={''} />}
-              variant={'base'}
-              onClick={onOpenAPIModal}
-            >
-              API 秘钥
-            </Button>
-          </>
-        )}
-      </Flex>
-      <Divider mt={3} />
-      <Box flex={'1 0 0'} h={0}>
-        <Skeleton h="100%" isLoaded={isLoaded} fadeDuration={2}>
-          <iframe
-            style={{
-              width: '100%',
-              height: '100%'
-            }}
-            src="https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh"
-            frameBorder="0"
-            onLoad={() => setIsLoaded(true)}
-            onError={() => setIsLoaded(true)}
-          />
-        </Skeleton>
-      </Box>
-      {isOpenAPIModal && <APIKeyModal onClose={onCloseAPIModal} />}
-    </Flex>
-  );
-};
-
-export default API;

client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeAnswer.tsx

@@ -1,20 +0,0 @@
-import React from 'react';
-import { NodeProps } from 'reactflow';
-import NodeCard from '../modules/NodeCard';
-import { FlowModuleItemType } from '@/types/flow';
-import Divider from '../modules/Divider';
-import Container from '../modules/Container';
-import RenderInput from '../render/RenderInput';
-
-const NodeAnswer = ({
-  data: { moduleId, inputs, outputs, onChangeNode, ...props }
-}: NodeProps<FlowModuleItemType>) => {
-  return (
-    <NodeCard minW={'400px'} moduleId={moduleId} {...props}>
-      <Container borderTop={'2px solid'} borderTopColor={'myGray.200'}>
-        <RenderInput moduleId={moduleId} onChangeNode={onChangeNode} flowInputList={inputs} />
-      </Container>
-    </NodeCard>
-  );
-};
-export default React.memo(NodeAnswer);

client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeCQNode.tsx

@@ -1,139 +0,0 @@
-import React from 'react';
-import { NodeProps } from 'reactflow';
-import { Box, Input, Button, Flex } from '@chakra-ui/react';
-import NodeCard from '../modules/NodeCard';
-import { FlowModuleItemType } from '@/types/flow';
-import Divider from '../modules/Divider';
-import Container from '../modules/Container';
-import RenderInput from '../render/RenderInput';
-import type { ClassifyQuestionAgentItemType } from '@/types/app';
-import { customAlphabet } from 'nanoid';
-const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 4);
-import MyIcon from '@/components/Icon';
-import { FlowOutputItemTypeEnum, FlowValueTypeEnum, SpecialInputKeyEnum } from '@/constants/flow';
-import SourceHandle from '../render/SourceHandle';
-
-const NodeCQNode = ({
-  data: { moduleId, inputs, outputs, onChangeNode, ...props }
-}: NodeProps<FlowModuleItemType>) => {
-  return (
-    <NodeCard minW={'400px'} moduleId={moduleId} {...props}>
-      <Divider text="Input" />
-      <Container>
-        <RenderInput
-          moduleId={moduleId}
-          onChangeNode={onChangeNode}
-          flowInputList={inputs}
-          CustomComponent={{
-            [SpecialInputKeyEnum.agents]: ({
-              key: agentKey,
-              value: agents = [],
-              ...props
-            }: {
-              key: string;
-              value?: ClassifyQuestionAgentItemType[];
-            }) => (
-              <Box>
-                {agents.map((item, i) => (
-                  <Flex key={item.key} mb={4} alignItems={'center'}>
-                    <MyIcon
-                      mr={2}
-                      name={'minus'}
-                      w={'14px'}
-                      cursor={'pointer'}
-                      color={'myGray.600'}
-                      _hover={{ color: 'myGray.900' }}
-                      onClick={() => {
-                        const newInputValue = agents.filter((input) => input.key !== item.key);
-                        const newOutputVal = outputs.filter((output) => output.key !== item.key);
-
-                        onChangeNode({
-                          moduleId,
-                          type: 'inputs',
-                          key: agentKey,
-                          value: {
-                            ...props,
-                            key: agentKey,
-                            value: newInputValue
-                          }
-                        });
-                        onChangeNode({
-                          moduleId,
-                          type: 'outputs',
-                          key: '',
-                          value: newOutputVal
-                        });
-                      }}
-                    />
-                    <Box flex={1}>
-                      <Box flex={1}>类型{i + 1}</Box>
-                      <Box position={'relative'}>
-                        <Input
-                          mt={1}
-                          defaultValue={item.value}
-                          onChange={(e) => {
-                            const newVal = agents.map((val) =>
-                              val.key === item.key
-                                ? {
-                                    ...val,
-                                    value: e.target.value
-                                  }
-                                : val
-                            );
-                            onChangeNode({
-                              moduleId,
-                              type: 'inputs',
-                              key: agentKey,
-                              value: {
-                                ...props,
-                                key: agentKey,
-                                value: newVal
-                              }
-                            });
-                          }}
-                        />
-                        <SourceHandle handleKey={item.key} valueType={FlowValueTypeEnum.boolean} />
-                      </Box>
-                    </Box>
-                  </Flex>
-                ))}
-                <Button
-                  onClick={() => {
-                    const key = nanoid();
-                    const newInputValue = agents.concat({ value: '', key });
-                    const newOutputValue = outputs.concat({
-                      key,
-                      label: '',
-                      type: FlowOutputItemTypeEnum.hidden,
-                      targets: []
-                    });
-
-                    onChangeNode({
-                      moduleId,
-                      type: 'inputs',
-                      key: agentKey,
-                      value: {
-                        ...props,
-                        key: agentKey,
-                        value: newInputValue
-                      }
-                    });
-                    onChangeNode({
-                      moduleId,
-                      type: 'outputs',
-                      key: agentKey,
-                      value: newOutputValue
-                    });
-                  }}
-                >
-                  添加问题类型
-                </Button>
-              </Box>
-            )
-          }}
-        />
-      </Container>
-    </NodeCard>
-  );
-};
-export default React.memo(NodeCQNode);

client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeChat.tsx

@@ -1,132 +0,0 @@
-import React, { useMemo } from 'react';
-import { NodeProps } from 'reactflow';
-import NodeCard from '../modules/NodeCard';
-import { FlowModuleItemType } from '@/types/flow';
-import Divider from '../modules/Divider';
-import Container from '../modules/Container';
-import RenderInput from '../render/RenderInput';
-import RenderOutput from '../render/RenderOutput';
-import { FlowOutputItemTypeEnum } from '@/constants/flow';
-import MySelect from '@/components/Select';
-import { chatModelList } from '@/store/static';
-import MySlider from '@/components/Slider';
-import { Box } from '@chakra-ui/react';
-import { formatPrice } from '@/utils/user';
-
-const NodeChat = ({
-  data: { moduleId, inputs, outputs, onChangeNode, ...props }
-}: NodeProps<FlowModuleItemType>) => {
-  const outputsLen = useMemo(
-    () => outputs.filter((item) => item.type !== FlowOutputItemTypeEnum.hidden).length,
-    [outputs]
-  );
-
-  return (
-    <NodeCard minW={'400px'} moduleId={moduleId} {...props}>
-      <Divider text="Input" />
-      <Container>
-        <RenderInput
-          moduleId={moduleId}
-          onChangeNode={onChangeNode}
-          flowInputList={inputs}
-          CustomComponent={{
-            model: (inputItem) => {
-              const list = chatModelList.map((item) => {
-                const priceStr = `(${formatPrice(item.price, 1000)}元/1k Tokens)`;
-
-                return {
-                  value: item.model,
-                  label: `${item.name}${priceStr}`
-                };
-              });
-
-              return (
-                <MySelect
-                  width={'100%'}
-                  value={inputItem.value}
-                  list={list}
-                  onchange={(e) => {
-                    onChangeNode({
-                      moduleId,
-                      type: 'inputs',
-                      key: inputItem.key,
-                      value: {
-                        ...inputItem,
-                        value: e
-                      }
-                    });
-
-                    // update max tokens
-                    const model =
-                      chatModelList.find((item) => item.model === e) || chatModelList[0];
-                    if (!model) return;
-
-                    onChangeNode({
-                      moduleId,
-                      type: 'inputs',
-                      key: 'maxToken',
-                      value: {
-                        ...inputs.find((input) => input.key === 'maxToken'),
-                        markList: [
-                          { label: '100', value: 100 },
-                          { label: `${model.contextMaxToken}`, value: model.contextMaxToken }
-                        ],
-                        max: model.contextMaxToken,
-                        value: model.contextMaxToken / 2
-                      }
-                    });
-                  }}
-                />
-              );
-            },
-            maxToken: (inputItem) => {
-              const model = inputs.find((item) => item.key === 'model')?.value;
-              const modelData = chatModelList.find((item) => item.model === model);
-              const maxToken = modelData ? modelData.contextMaxToken : 4000;
-              const markList = [
-                { label: '100', value: 100 },
-                { label: `${maxToken}`, value: maxToken }
-              ];
-              return (
-                <Box pt={5} pb={4} px={2}>
-                  <MySlider
-                    markList={markList}
-                    width={'100%'}
-                    min={inputItem.min || 100}
-                    max={maxToken}
-                    step={inputItem.step || 1}
-                    value={inputItem.value}
-                    onChange={(e) => {
-                      onChangeNode({
-                        moduleId,
-                        type: 'inputs',
-                        key: inputItem.key,
-                        value: {
-                          ...inputItem,
-                          value: e
-                        }
-                      });
-                    }}
-                  />
-                </Box>
-              );
-            }
-          }}
-        />
-      </Container>
-      {outputsLen > 0 && (
-        <>
-          <Divider text="Output" />
-          <Container>
-            <RenderOutput
-              onChangeNode={onChangeNode}
-              moduleId={moduleId}
-              flowOutputList={outputs}
-            />
-          </Container>
-        </>
-      )}
-    </NodeCard>
-  );
-};
-export default React.memo(NodeChat);

client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeEmpty.tsx

@@ -1,9 +0,0 @@
-import React from 'react';
-import { NodeProps } from 'reactflow';
-import NodeCard from '../modules/NodeCard';
-import { FlowModuleItemType } from '@/types/flow';
-
-const NodeAnswer = ({ data: { ...props } }: NodeProps<FlowModuleItemType>) => {
-  return <NodeCard {...props}></NodeCard>;
-};
-export default React.memo(NodeAnswer);

client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeHistory.tsx

@@ -1,30 +0,0 @@
-import React from 'react';
-import { NodeProps } from 'reactflow';
-import NodeCard from '../modules/NodeCard';
-import { FlowModuleItemType } from '@/types/flow';
-import Divider from '../modules/Divider';
-import Container from '../modules/Container';
-import RenderInput from '../render/RenderInput';
-import RenderOutput from '../render/RenderOutput';
-
-const NodeHistory = ({
-  data: { inputs, outputs, onChangeNode, ...props }
-}: NodeProps<FlowModuleItemType>) => {
-  return (
-    <NodeCard minW={'300px'} {...props}>
-      <Divider text="Input" />
-      <Container>
-        <RenderInput moduleId={props.moduleId} onChangeNode={onChangeNode} flowInputList={inputs} />
-      </Container>
-      <Divider text="Output" />
-      <Container>
-        <RenderOutput
-          onChangeNode={onChangeNode}
-          moduleId={props.moduleId}
-          flowOutputList={outputs}
-        />
-      </Container>
-    </NodeCard>
-  );
-};
-export default React.memo(NodeHistory);

client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeKbSearch.tsx

@@ -1,111 +0,0 @@
-import React, { useMemo, useState } from 'react';
-import { NodeProps } from 'reactflow';
-import { FlowModuleItemType } from '@/types/flow';
-import { Flex, Box, Button, useTheme, useDisclosure, Grid } from '@chakra-ui/react';
-import { useUserStore } from '@/store/user';
-import { useQuery } from '@tanstack/react-query';
-import NodeCard from '../modules/NodeCard';
-import Divider from '../modules/Divider';
-import Container from '../modules/Container';
-import RenderInput from '../render/RenderInput';
-import RenderOutput from '../render/RenderOutput';
-import { KBSelectModal } from '../../../KBSelectModal';
-import type { SelectedKbType } from '@/types/plugin';
-import Avatar from '@/components/Avatar';
-
-const KBSelect = ({
-  activeKbs = [],
-  onChange
-}: {
-  activeKbs: SelectedKbType;
-  onChange: (e: SelectedKbType) => void;
-}) => {
-  const theme = useTheme();
-  const { myKbList, loadKbList } = useUserStore();
-  const {
-    isOpen: isOpenKbSelect,
-    onOpen: onOpenKbSelect,
-    onClose: onCloseKbSelect
-  } = useDisclosure();
-
-  const showKbList = useMemo(
-    () => myKbList.filter((item) => activeKbs.find((kb) => kb.kbId === item._id)),
-    [myKbList, activeKbs]
-  );
-
-  useQuery(['initkb'], loadKbList);
-
-  return (
-    <>
-      <Grid gridTemplateColumns={'1fr 1fr'} gridGap={4}>
-        <Button h={'36px'} onClick={onOpenKbSelect}>
-          选择知识库
-        </Button>
-        {showKbList.map((item) => (
-          <Flex
-            key={item._id}
-            alignItems={'center'}
-            h={'36px'}
-            border={theme.borders.base}
-            px={2}
-            borderRadius={'md'}
-          >
-            <Avatar src={item.avatar} w={'24px'}></Avatar>
-            <Box ml={3} fontWeight={'bold'} fontSize={['md', 'lg', 'xl']}>
-              {item.name}
-            </Box>
-          </Flex>
-        ))}
-      </Grid>
-      {isOpenKbSelect && (
-        <KBSelectModal
-          kbList={myKbList}
-          activeKbs={activeKbs}
-          onChange={onChange}
-          onClose={onCloseKbSelect}
-        />
-      )}
-    </>
-  );
-};
-
-const NodeKbSearch = ({
-  data: { moduleId, inputs, outputs, onChangeNode, ...props }
-}: NodeProps<FlowModuleItemType>) => {
-  return (
-    <NodeCard minW={'400px'} moduleId={moduleId} {...props}>
-      <Divider text="Input" />
-      <Container>
-        <RenderInput
-          moduleId={moduleId}
-          onChangeNode={onChangeNode}
-          flowInputList={inputs}
-          CustomComponent={{
-            kbList: ({ key, value, ...props }) => (
-              <KBSelect
-                activeKbs={value}
-                onChange={(e) => {
-                  onChangeNode({
-                    moduleId,
-                    key,
-                    type: 'inputs',
-                    value: {
-                      ...props,
-                      key,
-                      value: e
-                    }
-                  });
-                }}
-              />
-            )
-          }}
-        />
-      </Container>
-      <Divider text="Output" />
-      <Container>
-        <RenderOutput onChangeNode={onChangeNode} moduleId={moduleId} flowOutputList={outputs} />
-      </Container>
-    </NodeCard>
-  );
-};
-export default React.memo(NodeKbSearch);

client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeQuestionInput.tsx

@@ -1,28 +0,0 @@
-import React from 'react';
-import { NodeProps } from 'reactflow';
-import { Box } from '@chakra-ui/react';
-import NodeCard from '../modules/NodeCard';
-import { FlowModuleItemType } from '@/types/flow';
-import Container from '../modules/Container';
-import { SystemInputEnum } from '@/constants/app';
-import { FlowValueTypeEnum } from '@/constants/flow';
-import SourceHandle from '../render/SourceHandle';
-
-const QuestionInputNode = ({
-  data: { inputs, outputs, ...props }
-}: NodeProps<FlowModuleItemType>) => {
-  return (
-    <NodeCard minW={'240px'} {...props}>
-      <Container borderTop={'2px solid'} borderTopColor={'myGray.200'} textAlign={'end'}>
-        <Box position={'relative'}>
-          用户问题
-          <SourceHandle
-            handleKey={SystemInputEnum.userChatInput}
-            valueType={FlowValueTypeEnum.string}
-          />
-        </Box>
-      </Container>
-    </NodeCard>
-  );
-};
-export default React.memo(QuestionInputNode);

client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeTFSwitch.tsx

@@ -1,78 +0,0 @@
-import React from 'react';
-import { Handle, Position, NodeProps } from 'reactflow';
-import { Flex, Box } from '@chakra-ui/react';
-import NodeCard from '../modules/NodeCard';
-import { SystemInputEnum } from '@/constants/app';
-import { FlowModuleItemType } from '@/types/flow';
-import Divider from '../modules/Divider';
-import Container from '../modules/Container';
-import Label from '../modules/Label';
-
-const NodeTFSwitch = ({ data: { inputs, outputs, ...props } }: NodeProps<FlowModuleItemType>) => {
-  return (
-    <NodeCard minW={'220px'} {...props}>
-      <Divider text="输入输出" />
-      <Container h={'100px'} py={0} px={0} display={'flex'} alignItems={'center'}>
-        <Box flex={1} pl={'12px'}>
-          <Label
-            required
-            description="接收到 false、0、null、undefined或空字符串时，执行 False，反之执行 True"
-          >
-            输入
-          </Label>
-          <Handle
-            style={{
-              top: '50%',
-              left: '0',
-              transform: 'translate(-50%,-50%)',
-              width: '12px',
-              height: '12px',
-              background: '#9CA2A8'
-            }}
-            id={SystemInputEnum.switch}
-            type="target"
-            position={Position.Left}
-            onConnect={(params) => console.log('input onConnect', params)}
-          />
-        </Box>
-        <Box flex={1} pr={'12px'}>
-          <Flex alignItems={'center'} justifyContent={'flex-end'} mb={'26px'} position={'relative'}>
-            <Label>True</Label>
-            <Handle
-              style={{
-                top: '0',
-                right: '-12px',
-                transform: 'translate(50%,5px)',
-                width: '12px',
-                height: '12px',
-                background: '#9CA2A8'
-              }}
-              id={'true'}
-              type="source"
-              position={Position.Right}
-              onConnect={(params) => console.log('handle onConnect', params)}
-            />
-          </Flex>
-          <Flex alignItems={'center'} justifyContent={'flex-end'} position={'relative'}>
-            <Label>False</Label>
-            <Handle
-              style={{
-                bottom: '0',
-                right: '-12px',
-                transform: 'translate(50%,-5px)',
-                width: '12px',
-                height: '12px',
-                background: '#9CA2A8'
-              }}
-              id={'false'}
-              type="source"
-              position={Position.Right}
-              onConnect={(params) => console.log('handle onConnect', params)}
-            />
-          </Flex>
-        </Box>
-      </Container>
-    </NodeCard>
-  );
-};
-export default React.memo(NodeTFSwitch);

client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeUserGuide.tsx

@@ -1,60 +0,0 @@
-import React, { useMemo } from 'react';
-import { NodeProps } from 'reactflow';
-import { Box, Flex, Textarea } from '@chakra-ui/react';
-import { QuestionOutlineIcon } from '@chakra-ui/icons';
-import NodeCard from '../modules/NodeCard';
-import { FlowModuleItemType } from '@/types/flow';
-import Container from '../modules/Container';
-import { SystemInputEnum } from '@/constants/app';
-import MyIcon from '@/components/Icon';
-import MyTooltip from '@/components/MyTooltip';
-import { welcomeTextTip } from '@/constants/flow/ModuleTemplate';
-
-const NodeUserGuide = ({
-  data: { inputs, outputs, onChangeNode, ...props }
-}: NodeProps<FlowModuleItemType>) => {
-  const welcomeText = useMemo(
-    () => inputs.find((item) => item.key === SystemInputEnum.welcomeText),
-    [inputs]
-  );
-
-  return (
-    <>
-      <NodeCard minW={'300px'} {...props}>
-        <Container borderTop={'2px solid'} borderTopColor={'myGray.200'}>
-          <>
-            <Flex mb={1} alignItems={'center'}>
-              <MyIcon name={'welcomeText'} mr={2} w={'16px'} color={'#E74694'} />
-              <Box>开场白</Box>
-              <MyTooltip label={welcomeTextTip} forceShow>
-                <QuestionOutlineIcon display={['none', 'inline']} ml={1} />
-              </MyTooltip>
-            </Flex>
-            {welcomeText && (
-              <Textarea
-                className="nodrag"
-                rows={6}
-                resize={'both'}
-                defaultValue={welcomeText.value}
-                bg={'myWhite.500'}
-                placeholder={welcomeTextTip}
-                onChange={(e) => {
-                  onChangeNode({
-                    moduleId: props.moduleId,
-                    key: SystemInputEnum.welcomeText,
-                    type: 'inputs',
-                    value: {
-                      ...welcomeText,
-                      value: e.target.value
-                    }
-                  });
-                }}
-              />
-            )}
-          </>
-        </Container>
-      </NodeCard>
-    </>
-  );
-};
-export default React.memo(NodeUserGuide);

client/src/pages/app/detail/components/AdEdit/components/TemplateList.tsx

@@ -1,126 +0,0 @@
-import React, { useMemo } from 'react';
-import { Box, Flex } from '@chakra-ui/react';
-import { ModuleTemplates } from '@/constants/flow/ModuleTemplate';
-import { FlowModuleItemType, FlowModuleTemplateType } from '@/types/flow';
-import type { Node, XYPosition } from 'reactflow';
-import { useGlobalStore } from '@/store/global';
-import Avatar from '@/components/Avatar';
-import { FlowModuleTypeEnum } from '@/constants/flow';
-
-const ModuleTemplateList = ({
-  nodes,
-  isOpen,
-  onAddNode,
-  onClose
-}: {
-  nodes?: Node<FlowModuleItemType>[];
-  isOpen: boolean;
-  onAddNode: (e: { template: FlowModuleTemplateType; position: XYPosition }) => void;
-  onClose: () => void;
-}) => {
-  const { isPc } = useGlobalStore();
-
-  const filterTemplates = useMemo(() => {
-    const guideModulesIndex = ModuleTemplates.findIndex((item) => item.label === '引导模块');
-    const guideModule: {
-      label: string;
-      list: FlowModuleTemplateType[];
-    } = JSON.parse(JSON.stringify(ModuleTemplates[guideModulesIndex]));
-
-    if (nodes?.find((item) => item.type === FlowModuleTypeEnum.userGuide)) {
-      const index = guideModule.list.findIndex(
-        (item) => item.flowType === FlowModuleTypeEnum.userGuide
-      );
-      guideModule.list.splice(index, 1);
-    }
-    if (nodes?.find((item) => item.type === FlowModuleTypeEnum.variable)) {
-      const index = guideModule.list.findIndex(
-        (item) => item.flowType === FlowModuleTypeEnum.variable
-      );
-      guideModule.list.splice(index, 1);
-    }
-
-    return [
-      ...ModuleTemplates.slice(0, guideModulesIndex),
-      guideModule,
-      ...ModuleTemplates.slice(guideModulesIndex + 1)
-    ];
-  }, [nodes]);
-
-  return (
-    <>
-      <Box
-        zIndex={2}
-        display={isOpen ? 'block' : 'none'}
-        position={'absolute'}
-        top={0}
-        left={0}
-        bottom={0}
-        w={'360px'}
-        onClick={onClose}
-      />
-      <Flex
-        zIndex={3}
-        flexDirection={'column'}
-        position={'absolute'}
-        top={'65px'}
-        left={0}
-        pb={4}
-        h={isOpen ? 'calc(100% - 100px)' : '0'}
-        w={isOpen ? ['100%', '360px'] : '0'}
-        bg={'white'}
-        boxShadow={'3px 0 20px rgba(0,0,0,0.2)'}
-        borderRadius={'20px'}
-        overflow={'hidden'}
-        transition={'.2s ease'}
-        userSelect={'none'}
-      >
-        <Box w={['100%', '330px']} py={4} px={5} fontSize={'xl'} fontWeight={'bold'}>
-          系统模块
-        </Box>
-        <Box flex={'1 0 0'} overflow={'overlay'}>
-          <Box w={['100%', '330px']} mx={'auto'}>
-            {filterTemplates.map((item) =>
-              item.list.map((item) => (
-                <Flex
-                  key={item.name}
-                  alignItems={'center'}
-                  p={5}
-                  cursor={'pointer'}
-                  _hover={{ bg: 'myWhite.600' }}
-                  borderRadius={'md'}
-                  draggable
-                  onDragEnd={(e) => {
-                    if (e.clientX < 360) return;
-                    onAddNode({
-                      template: item,
-                      position: { x: e.clientX, y: e.clientY }
-                    });
-                  }}
-                  onClick={(e) => {
-                    if (isPc) return;
-                    onClose();
-                    onAddNode({
-                      template: item,
-                      position: { x: e.clientX, y: e.clientY }
-                    });
-                  }}
-                >
-                  <Avatar src={item.logo} w={'34px'} objectFit={'contain'} borderRadius={'0'} />
-                  <Box ml={5} flex={'1 0 0'}>
-                    <Box color={'black'}>{item.name}</Box>
-                    <Box color={'myGray.500'} fontSize={'sm'}>
-                      {item.intro}
-                    </Box>
-                  </Box>
-                </Flex>
-              ))
-            )}
-          </Box>
-        </Box>
-      </Flex>
-    </>
-  );
-};
-
-export default ModuleTemplateList;

client/src/pages/app/detail/components/AdEdit/components/modules/Label.tsx

@@ -1,30 +0,0 @@
-import React from 'react';
-import { Box } from '@chakra-ui/react';
-import { QuestionOutlineIcon } from '@chakra-ui/icons';
-import MyTooltip from '@/components/MyTooltip';
-
-const Label = ({
-  required = false,
-  children,
-  description
-}: {
-  required?: boolean;
-  children: React.ReactNode | string;
-  description?: string;
-}) => (
-  <Box as={'label'} display={'inline-block'} position={'relative'}>
-    {children}
-    {required && (
-      <Box position={'absolute'} top={'-2px'} right={'-10px'} color={'red.500'} fontWeight={'bold'}>
-        *
-      </Box>
-    )}
-    {description && (
-      <MyTooltip label={description} forceShow>
-        <QuestionOutlineIcon display={['none', 'inline']} fontSize={'12px'} mb={1} ml={1} />
-      </MyTooltip>
-    )}
-  </Box>
-);
-
-export default React.memo(Label);

client/src/pages/app/detail/components/AdEdit/components/modules/NodeCard.tsx

@@ -1,112 +0,0 @@
-import React, { useMemo } from 'react';
-import { Box, Flex, useTheme, Menu, MenuButton, MenuList, MenuItem } from '@chakra-ui/react';
-import MyIcon from '@/components/Icon';
-import Avatar from '@/components/Avatar';
-import type { FlowModuleItemType } from '@/types/flow';
-import MyTooltip from '@/components/MyTooltip';
-import { QuestionOutlineIcon } from '@chakra-ui/icons';
-import { useTranslation } from 'react-i18next';
-
-type Props = {
-  children?: React.ReactNode | React.ReactNode[] | string;
-  logo: string;
-  name: string;
-  description?: string;
-  intro: string;
-  minW?: string | number;
-  moduleId: string;
-  onDelNode: FlowModuleItemType['onDelNode'];
-  onCopyNode: FlowModuleItemType['onCopyNode'];
-};
-
-const NodeCard = ({
-  children,
-  logo = '/icon/logo.png',
-  name = '未知模块',
-  description,
-  minW = '300px',
-  onCopyNode,
-  onDelNode,
-  moduleId
-}: Props) => {
-  const { t } = useTranslation();
-  const theme = useTheme();
-
-  const menuList = useMemo(
-    () => [
-      {
-        icon: 'copy',
-        label: t('common.Copy'),
-        onClick: () => onCopyNode(moduleId)
-      },
-      {
-        icon: 'delete',
-        label: t('common.Delete'),
-        onClick: () => onDelNode(moduleId)
-      },
-      // {
-      //   icon: 'collectionLight',
-      //   label: t('common.Collect'),
-      //   onClick: () => {}
-      // },
-      {
-        icon: 'back',
-        label: t('common.Cancel'),
-        onClick: () => {}
-      }
-    ],
-    [moduleId, onCopyNode, onDelNode, t]
-  );
-
-  return (
-    <Box
-      minW={minW}
-      maxW={'430px'}
-      bg={'white'}
-      border={theme.borders.md}
-      borderRadius={'md'}
-      boxShadow={'sm'}
-    >
-      <Flex className="custom-drag-handle" px={4} py={3} alignItems={'center'}>
-        <Avatar src={logo} borderRadius={'md'} objectFit={'contain'} w={'30px'} h={'30px'} />
-        <Box ml={3} fontSize={'lg'} color={'myGray.600'}>
-          {name}
-        </Box>
-        {description && (
-          <MyTooltip label={description} forceShow>
-            <QuestionOutlineIcon
-              display={['none', 'inline']}
-              transform={'translateY(1px)'}
-              ml={1}
-            />
-          </MyTooltip>
-        )}
-        <Box flex={1} />
-        <Menu autoSelect={false} isLazy>
-          <MenuButton
-            className={'nodrag'}
-            _hover={{ bg: 'myWhite.600' }}
-            cursor={'pointer'}
-            borderRadius={'md'}
-            onClick={(e) => {
-              e.stopPropagation();
-            }}
-          >
-            <MyIcon name={'more'} w={'14px'} p={2} />
-          </MenuButton>
-          <MenuList color={'myGray.700'} minW={`120px !important`} zIndex={10}>
-            {menuList.map((item) => (
-              <MenuItem key={item.label} onClick={item.onClick} py={[2, 3]}>
-                <MyIcon name={item.icon as any} w={['14px', '16px']} />
-                <Box ml={[1, 2]}>{item.label}</Box>
-              </MenuItem>
-            ))}
-          </MenuList>
-        </Menu>
-      </Flex>
-      {children}
-    </Box>
-  );
-};
-
-export default React.memo(NodeCard);

client/src/pages/app/detail/components/AdEdit/components/modules/SetInputFieldModal.tsx

@@ -1,115 +0,0 @@
-import React, { useMemo, useState } from 'react';
-import {
-  Box,
-  Button,
-  ModalHeader,
-  ModalFooter,
-  ModalBody,
-  Flex,
-  Switch,
-  Input,
-  FormControl
-} from '@chakra-ui/react';
-import { useForm } from 'react-hook-form';
-import { customAlphabet } from 'nanoid';
-const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 6);
-import MyModal from '@/components/MyModal';
-import Avatar from '@/components/Avatar';
-import MyTooltip from '@/components/MyTooltip';
-import { FlowInputItemTypeEnum, FlowValueTypeEnum } from '@/constants/flow';
-import { useTranslation } from 'react-i18next';
-import MySelect from '@/components/Select';
-import { FlowInputItemType } from '@/types/flow';
-
-const typeSelectList = [
-  {
-    label: '字符串',
-    value: FlowValueTypeEnum.string
-  },
-  {
-    label: '数字',
-    value: FlowValueTypeEnum.number
-  },
-  {
-    label: '布尔',
-    value: FlowValueTypeEnum.boolean
-  },
-  {
-    label: '任意',
-    value: FlowValueTypeEnum.any
-  }
-];
-
-const SetInputFieldModal = ({
-  defaultField = {
-    label: '',
-    key: '',
-    type: FlowInputItemTypeEnum.target,
-    valueType: FlowValueTypeEnum.string,
-    description: '',
-    required: false
-  },
-  onClose,
-  onSubmit
-}: {
-  defaultField?: FlowInputItemType;
-  onClose: () => void;
-  onSubmit: (data: FlowInputItemType) => void;
-}) => {
-  const { t } = useTranslation();
-  const { register, getValues, setValue, handleSubmit } = useForm<FlowInputItemType>({
-    defaultValues: defaultField
-  });
-  const [refresh, setRefresh] = useState(false);
-
-  return (
-    <MyModal isOpen={true} onClose={onClose}>
-      <ModalHeader display={'flex'} alignItems={'center'}>
-        <Avatar src={'/imgs/module/extract.png'} mr={2} w={'20px'} objectFit={'cover'} />
-        {t('app.Input Field Settings')}
-      </ModalHeader>
-      <ModalBody>
-        <Flex alignItems={'center'}>
-          <Box flex={'0 0 70px'}>必填</Box>
-          <Switch {...register('required')} />
-        </Flex>
-        <Flex mt={5} alignItems={'center'}>
-          <Box flex={'0 0 70px'}>字段类型</Box>
-          <MySelect
-            w={'288px'}
-            list={typeSelectList}
-            value={getValues('valueType')}
-            onchange={(e: any) => {
-              setValue('valueType', e);
-              setRefresh(!refresh);
-            }}
-          />
-        </Flex>
-        <Flex mt={5} alignItems={'center'}>
-          <Box flex={'0 0 70px'}>字段名</Box>
-          <Input
-            placeholder="预约字段/sql语句……"
-            {...register('label', { required: '字段名不能为空' })}
-          />
-        </Flex>
-
-        <Flex mt={5} alignItems={'center'}>
-          <Box flex={'0 0 70px'}>字段 key</Box>
-          <Input
-            placeholder="appointment/sql"
-            {...register('key', { required: '字段 key 不能为空' })}
-          />
-        </Flex>
-      </ModalBody>
-
-      <ModalFooter>
-        <Button variant={'base'} mr={3} onClick={onClose}>
-          取消
-        </Button>
-        <Button onClick={handleSubmit(onSubmit)}>确认</Button>
-      </ModalFooter>
-    </MyModal>
-  );
-};
-
-export default React.memo(SetInputFieldModal);

client/src/pages/app/detail/components/AdEdit/components/modules/SetOutputFieldModal.tsx

@@ -1,105 +0,0 @@
-import React, { useMemo, useState } from 'react';
-import {
-  Box,
-  Button,
-  ModalHeader,
-  ModalFooter,
-  ModalBody,
-  Flex,
-  Switch,
-  Input,
-  FormControl
-} from '@chakra-ui/react';
-import type { ContextExtractAgentItemType, HttpFieldItemType } from '@/types/app';
-import { useForm } from 'react-hook-form';
-import { customAlphabet } from 'nanoid';
-const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 6);
-import MyModal from '@/components/MyModal';
-import Avatar from '@/components/Avatar';
-import MyTooltip from '@/components/MyTooltip';
-import { FlowOutputItemTypeEnum, FlowValueTypeEnum, FlowValueTypeStyle } from '@/constants/flow';
-import { useTranslation } from 'react-i18next';
-import MySelect from '@/components/Select';
-import { FlowOutputItemType } from '@/types/flow';
-
-const typeSelectList = [
-  {
-    label: '字符串',
-    value: FlowValueTypeEnum.string
-  },
-  {
-    label: '数字',
-    value: FlowValueTypeEnum.number
-  },
-  {
-    label: '布尔',
-    value: FlowValueTypeEnum.boolean
-  },
-  {
-    label: '任意',
-    value: FlowValueTypeEnum.any
-  }
-];
-
-const SetInputFieldModal = ({
-  defaultField,
-  onClose,
-  onSubmit
-}: {
-  defaultField: FlowOutputItemType;
-  onClose: () => void;
-  onSubmit: (data: FlowOutputItemType) => void;
-}) => {
-  const { t } = useTranslation();
-  const { register, getValues, setValue, handleSubmit } = useForm<FlowOutputItemType>({
-    defaultValues: defaultField
-  });
-  const [refresh, setRefresh] = useState(false);
-
-  return (
-    <MyModal isOpen={true} onClose={onClose}>
-      <ModalHeader display={'flex'} alignItems={'center'}>
-        <Avatar src={'/imgs/module/extract.png'} mr={2} w={'20px'} objectFit={'cover'} />
-        {t('app.Output Field Settings')}
-      </ModalHeader>
-      <ModalBody>
-        <Flex mt={5} alignItems={'center'}>
-          <Box flex={'0 0 70px'}>字段类型</Box>
-          <MySelect
-            w={'288px'}
-            list={typeSelectList}
-            value={getValues('valueType')}
-            onchange={(e: any) => {
-              setValue('valueType', e);
-              setRefresh(!refresh);
-            }}
-          />
-        </Flex>
-        <Flex mt={5} alignItems={'center'}>
-          <Box flex={'0 0 70px'}>字段名</Box>
-          <Input
-            placeholder="预约字段/sql语句……"
-            {...register('label', { required: '字段名不能为空' })}
-          />
-        </Flex>
-
-        <Flex mt={5} alignItems={'center'}>
-          <Box flex={'0 0 70px'}>字段 key</Box>
-          <Input
-            placeholder="appointment/sql"
-            {...register('key', { required: '字段 key 不能为空' })}
-          />
-        </Flex>
-      </ModalBody>
-
-      <ModalFooter>
-        <Button variant={'base'} mr={3} onClick={onClose}>
-          取消
-        </Button>
-        <Button onClick={handleSubmit(onSubmit)}>确认</Button>
-      </ModalFooter>
-    </MyModal>
-  );
-};
-
-export default React.memo(SetInputFieldModal);

client/src/pages/app/detail/components/AdEdit/components/render/RenderInput.tsx

@@ -1,272 +0,0 @@
-import React, { useState } from 'react';
-import type { FlowInputItemType, FlowModuleItemType } from '@/types/flow';
-import {
-  Box,
-  Textarea,
-  Input,
-  NumberInput,
-  NumberInputField,
-  NumberInputStepper,
-  NumberIncrementStepper,
-  NumberDecrementStepper,
-  Flex
-} from '@chakra-ui/react';
-import { FlowInputItemTypeEnum } from '@/constants/flow';
-import { QuestionOutlineIcon } from '@chakra-ui/icons';
-import dynamic from 'next/dynamic';
-import MySelect from '@/components/Select';
-import MySlider from '@/components/Slider';
-import MyTooltip from '@/components/MyTooltip';
-import TargetHandle from './TargetHandle';
-import MyIcon from '@/components/Icon';
-const SetInputFieldModal = dynamic(() => import('../modules/SetInputFieldModal'));
-
-export const Label = ({
-  moduleId,
-  inputKey,
-  onChangeNode,
-  ...item
-}: FlowInputItemType & {
-  moduleId: string;
-  inputKey: string;
-  onChangeNode: FlowModuleItemType['onChangeNode'];
-}) => {
-  const { required = false, description, edit, label, type, valueType } = item;
-  const [editField, setEditField] = useState<FlowInputItemType>();
-
-  return (
-    <Flex className="nodrag" cursor={'default'} alignItems={'center'} position={'relative'}>
-      <Box position={'relative'}>
-        {label}
-        {description && (
-          <MyTooltip label={description} forceShow>
-            <QuestionOutlineIcon display={['none', 'inline']} ml={1} />
-          </MyTooltip>
-        )}
-        {required && (
-          <Box
-            position={'absolute'}
-            top={'-2px'}
-            right={'-8px'}
-            color={'red.500'}
-            fontWeight={'bold'}
-          >
-            *
-          </Box>
-        )}
-      </Box>
-
-      {(type === FlowInputItemTypeEnum.target || valueType) && (
-        <TargetHandle handleKey={inputKey} valueType={valueType} />
-      )}
-
-      {edit && (
-        <>
-          <MyIcon
-            name={'settingLight'}
-            w={'14px'}
-            cursor={'pointer'}
-            ml={3}
-            _hover={{ color: 'myBlue.600' }}
-            onClick={() =>
-              setEditField({
-                ...item,
-                key: inputKey
-              })
-            }
-          />
-          <MyIcon
-            className="delete"
-            name={'delete'}
-            w={'14px'}
-            cursor={'pointer'}
-            ml={2}
-            _hover={{ color: 'red.500' }}
-            onClick={() => {
-              onChangeNode({
-                moduleId,
-                type: 'delInput',
-                key: inputKey,
-                value: ''
-              });
-            }}
-          />
-        </>
-      )}
-      {!!editField && (
-        <SetInputFieldModal
-          defaultField={editField}
-          onClose={() => setEditField(undefined)}
-          onSubmit={(data) => {
-            // same key
-            if (editField.key === data.key) {
-              onChangeNode({
-                moduleId,
-                type: 'inputs',
-                key: inputKey,
-                value: data
-              });
-            } else {
-              // diff key. del and add
-              onChangeNode({
-                moduleId,
-                type: 'addInput',
-                key: data.key,
-                value: data
-              });
-              setTimeout(() => {
-                onChangeNode({
-                  moduleId,
-                  type: 'delInput',
-                  key: editField.key,
-                  value: ''
-                });
-              });
-            }
-            setEditField(undefined);
-          }}
-        />
-      )}
-    </Flex>
-  );
-};
-
-const RenderInput = ({
-  flowInputList,
-  moduleId,
-  CustomComponent = {},
-  onChangeNode
-}: {
-  flowInputList: FlowInputItemType[];
-  moduleId: string;
-  CustomComponent?: Record<string, (e: FlowInputItemType) => React.ReactNode>;
-  onChangeNode: FlowModuleItemType['onChangeNode'];
-}) => {
-  return (
-    <>
-      {flowInputList.map(
-        (item) =>
-          item.type !== FlowInputItemTypeEnum.hidden && (
-            <Box key={item.key} _notLast={{ mb: 7 }} position={'relative'}>
-              {!!item.label && (
-                <Label
-                  moduleId={moduleId}
-                  onChangeNode={onChangeNode}
-                  inputKey={item.key}
-                  {...item}
-                />
-              )}
-              <Box mt={2} className={'nodrag'}>
-                {item.type === FlowInputItemTypeEnum.numberInput && (
-                  <NumberInput
-                    defaultValue={item.value}
-                    min={item.min}
-                    max={item.max}
-                    onChange={(e) => {
-                      onChangeNode({
-                        moduleId,
-                        type: 'inputs',
-                        key: item.key,
-                        value: {
-                          ...item,
-                          value: Number(e)
-                        }
-                      });
-                    }}
-                  >
-                    <NumberInputField />
-                    <NumberInputStepper>
-                      <NumberIncrementStepper />
-                      <NumberDecrementStepper />
-                    </NumberInputStepper>
-                  </NumberInput>
-                )}
-                {item.type === FlowInputItemTypeEnum.input && (
-                  <Input
-                    placeholder={item.placeholder}
-                    defaultValue={item.value}
-                    onChange={(e) => {
-                      onChangeNode({
-                        moduleId,
-                        type: 'inputs',
-                        key: item.key,
-                        value: {
-                          ...item,
-                          value: e.target.value
-                        }
-                      });
-                    }}
-                  />
-                )}
-                {item.type === FlowInputItemTypeEnum.textarea && (
-                  <Textarea
-                    rows={5}
-                    placeholder={item.placeholder}
-                    resize={'both'}
-                    defaultValue={item.value}
-                    onChange={(e) => {
-                      onChangeNode({
-                        moduleId,
-                        type: 'inputs',
-                        key: item.key,
-                        value: {
-                          ...item,
-                          value: e.target.value
-                        }
-                      });
-                    }}
-                  />
-                )}
-                {item.type === FlowInputItemTypeEnum.select && (
-                  <MySelect
-                    width={'100%'}
-                    value={item.value}
-                    list={item.list || []}
-                    onchange={(e) => {
-                      onChangeNode({
-                        moduleId,
-                        type: 'inputs',
-                        key: item.key,
-                        value: {
-                          ...item,
-                          value: e
-                        }
-                      });
-                    }}
-                  />
-                )}
-                {item.type === FlowInputItemTypeEnum.slider && (
-                  <Box pt={5} pb={4} px={2}>
-                    <MySlider
-                      markList={item.markList}
-                      width={'100%'}
-                      min={item.min || 0}
-                      max={item.max}
-                      step={item.step || 1}
-                      value={item.value}
-                      onChange={(e) => {
-                        onChangeNode({
-                          moduleId,
-                          type: 'inputs',
-                          key: item.key,
-                          value: {
-                            ...item,
-                            value: e
-                          }
-                        });
-                      }}
-                    />
-                  </Box>
-                )}
-                {item.type === FlowInputItemTypeEnum.custom && CustomComponent[item.key] && (
-                  <>{CustomComponent[item.key]({ ...item })}</>
-                )}
-              </Box>
-            </Box>
-          )
-      )}
-    </>
-  );
-};
-
-export default React.memo(RenderInput);