feat: enhance default configuration with new provider settings and context management options

.dockerignore

@@ -1,8 +1,9 @@
 # Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio and WebStorm
 # Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
-# github actions
+# github acions
 .github/
 .*ignore
+.git/
 # User-specific stuff
 .idea/
 # Byte-compiled / optimized / DLL files
@@ -14,6 +15,7 @@ env/
 venv*/
 ENV/
 .conda/
+README*.md
 dashboard/
 data/
 changelogs/

.github/ISSUE_TEMPLATE/PLUGIN_PUBLISH.yml

@@ -16,7 +16,7 @@ body:
 
         请将插件信息填写到下方的 JSON 代码块中。其中 `tags`（插件标签）和 `social_link`（社交链接）选填。
 
-        不熟悉 JSON ？可以从 [此处](https://plugins.astrbot.app/submit) 生成 JSON ，生成后记得复制粘贴过来.
+        不熟悉 JSON ？现在可以从 [这里](https://plugins.astrbot.app/#/submit) 获取你的 JSON 啦！获取到了记得复制粘贴过来哦！
 
   - type: textarea
     id: plugin-info
@@ -26,13 +26,12 @@ body:
       value: |
         ```json
         {
-          "name": "插件名，请以 astrbot_plugin_ 开头",
-          "display_name": "用于展示的插件名，方便人类阅读",
-          "desc": "插件的简短介绍",
+          "name": "插件名",
+          "desc": "插件介绍",
           "author": "作者名",
           "repo": "插件仓库链接",
           "tags": [],
-          "social_link": "",
+          "social_link": ""
         }
         ```
     validations:

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -6,13 +6,13 @@ body:
   - type: markdown
     attributes:
       value: |
-        感谢您抽出时间报告问题！请准确解释您的问题。如果可能，请提供一个可复现的片段（这有助于更快地解决问题）。请注意，不详细 / 没有日志的 issue 会被直接关闭，谢谢理解。
+        感谢您抽出时间报告问题！请准确解释您的问题。如果可能，请提供一个可复现的片段（这有助于更快地解决问题）。
   - type: textarea
     attributes:
       label: 发生了什么
       description: 描述你遇到的异常
       placeholder: >
-        一个清晰且具体的描述这个异常是什么。请注意，不详细 / 没有日志的 issue 会被直接关闭，谢谢理解。
+        一个清晰且具体的描述这个异常是什么。
     validations:
       required: true
 
@@ -55,7 +55,7 @@ body:
     attributes:
       label: 报错日志
       description: >
-        如报错日志、截图等。请提供完整的 Debug 级别的日志，不要介意它很长！请注意，不详细 / 没有日志的 issue 会被直接关闭，谢谢理解。
+        如报错日志、截图等。请提供完整的 Debug 级别的日志，不要介意它很长！
       placeholder: >
         请提供完整的报错日志或截图。
     validations:

.github/PULL_REQUEST_TEMPLATE.md

@@ -1,46 +1,19 @@
-<!-- 如果有的话，请指定此 PR 旨在解决的 ISSUE 编号。 -->
-<!-- If applicable, please specify the ISSUE number this PR aims to resolve. -->
+<!-- 如果有的话，指定这个 PR 要解决的 ISSUE -->
+解决了 #XYZ
 
-fixes #XYZ
+### Motivation
 
----
+<!--解释为什么要改动-->
 
-### Motivation / 动机
+### Modifications
 
-<!--请描述此项更改的动机：它解决了什么问题？（例如：修复了 XX 错误，添加了 YY 功能）-->
-<!--Please describe the motivation for this change: What problem does it solve? (e.g., Fixes XX bug, adds YY feature)-->
+<!--简单解释你的改动-->
 
-### Modifications / 改动点
+### Check
 
-<!--请总结你的改动：哪些核心文件被修改了？实现了什么功能？-->
-<!--Please summarize your changes: What core files were modified? What functionality was implemented?-->
+<!--如果分支被合并，您的代码将服务于数万名用户！在提交前，请核查一下几点内容-->
 
-### Verification Steps / 验证步骤
-
-<!--请为审查者 (Reviewer) 提供清晰、可复现的验证步骤（例如：1. 导航到... 2. 点击...）。-->
-<!--Please provide clear and reproducible verification steps for the Reviewer (e.g., 1. Navigate to... 2. Click...).-->
-
-### Screenshots or Test Results / 运行截图或测试结果
-
-<!--请粘贴截图、GIF 或测试日志，作为执行“验证步骤”的证据，证明此改动有效。-->
-<!--Please paste screenshots, GIFs, or test logs here as evidence of executing the "Verification Steps" to prove this change is effective.-->
-
-### Compatibility & Breaking Changes / 兼容性与破坏性变更
-
-<!--请说明此变更的兼容性：哪些是破坏性变更？哪些地方做了向后兼容处理？是否提供了数据迁移方法？-->
-<!--Please explain the compatibility of this change: What are the breaking changes? What backward-compatible measures were taken? Are data migration paths provided?-->
-
-- [ ] 这是一个破坏性变更 (Breaking Change)。/ This is a breaking change.
-- [ ] 这不是一个破坏性变更。/ This is NOT a breaking change.
-
----
-
-### Checklist / 检查清单
-
-<!--如果分支被合并，您的代码将服务于数万名用户！在提交前，请核查一下几点内容。-->
-<!--If merged, your code will serve tens of thousands of users! Please double-check the following items before submitting.-->
-
-- [ ] 😊 如果 PR 中有新加入的功能，已经通过 Issue / 邮件等方式和作者讨论过。/ If there are new features added in the PR, I have discussed it with the authors through issues/emails, etc.
-- [ ] 👀 我的更改经过了良好的测试，**并已在上方提供了“验证步骤”和“运行截图”**。/ My changes have been well-tested, **and "Verification Steps" and "Screenshots" have been provided above**.
-- [ ] 🤓 我确保没有引入新依赖库，或者引入了新依赖库的同时将其添加到了 `requirements.txt` 和 `pyproject.toml` 文件相应位置。/ I have ensured that no new dependencies are introduced, OR if new dependencies are introduced, they have been added to the appropriate locations in `requirements.txt` and `pyproject.toml`.
-- [ ] 😮 我的更改没有引入恶意代码。/ My changes do not introduce malicious code.
+- [ ] 😊 我的 Commit Message 符合良好的[规范](https://www.conventionalcommits.org/en/v1.0.0/#summary)
+- [ ] 👀 我的更改经过良好的测试
+- [ ] 🤓 我确保没有引入新依赖库，或者引入了新依赖库的同时将其添加到了 `requirements.txt` 和 `pyproject.toml` 文件相应位置。
+- [ ] 😮 我的更改没有引入恶意代码

.github/auto_assign.yml

@@ -1,38 +0,0 @@
-# Set to true to add reviewers to pull requests
-addReviewers: true
-
-# Set to true to add assignees to pull requests
-addAssignees: false
-
-# A list of reviewers to be added to pull requests (GitHub user name)
-reviewers:
-  - Soulter
-  - Raven95676
-  - Larch-C
-  - anka-afk
-  - advent259141
-  - Fridemn
-  - LIghtJUNction
-  # - zouyonghe
-
-# A number of reviewers added to the pull request
-# Set 0 to add all the reviewers (default: 0)
-numberOfReviewers: 2
-
-# A list of assignees, overrides reviewers if set
-# assignees:
-#   - assigneeA
-
-# A number of assignees to add to the pull request
-# Set to 0 to add all of the assignees.
-# Uses numberOfReviewers if unset.
-# numberOfAssignees: 2
-
-# A list of keywords to be skipped the process that add reviewers if pull requests include it
-skipKeywords:
-  - wip
-  - draft
-
-# A list of users to be skipped by both the add reviewers and add assignees processes
-# skipUsers:
-#   - dependabot[bot]

.github/workflows/auto_release.yml

@@ -73,7 +73,7 @@ jobs:
         uses: actions/checkout@v5
 
       - name: Set up Python
-        uses: actions/setup-python@v6
+        uses: actions/setup-python@v5
         with:
           python-version: '3.10'
 

.github/workflows/code-format.yml

@@ -1,34 +0,0 @@
-name: Code Format Check
-
-on:
-  pull_request:
-    branches: [ master ]
-  push:
-    branches: [ master ]
-
-jobs:
-  format-check:
-    runs-on: ubuntu-latest
-    
-    steps:
-    - name: Checkout code
-      uses: actions/checkout@v5
-      
-    - name: Set up Python
-      uses: actions/setup-python@v6
-      with:
-        python-version: '3.10'
-        
-    - name: Install UV
-      run: pip install uv
-      
-    - name: Install dependencies
-      run: uv sync
-      
-    - name: Check code formatting with ruff
-      run: |
-        uv run ruff format --check .
-        
-    - name: Check code style with ruff
-      run: |
-        uv run ruff check .

.github/workflows/codeql.yml

@@ -60,7 +60,7 @@ jobs:
 
     # Initializes the CodeQL tools for scanning.
     - name: Initialize CodeQL
-      uses: github/codeql-action/init@v4
+      uses: github/codeql-action/init@v3
       with:
         languages: ${{ matrix.language }}
         build-mode: ${{ matrix.build-mode }}
@@ -88,6 +88,6 @@ jobs:
         exit 1
 
     - name: Perform CodeQL Analysis
-      uses: github/codeql-action/analyze@v4
+      uses: github/codeql-action/analyze@v3
       with:
         category: "/language:${{matrix.language}}"

.github/workflows/coverage_test.yml

@@ -22,7 +22,7 @@ jobs:
           fetch-depth: 0
 
       - name: Set up Python
-        uses: actions/setup-python@v6
+        uses: actions/setup-python@v5
       
       - name: Install dependencies
         run: |

.github/workflows/dashboard_ci.yml

@@ -13,18 +13,11 @@ jobs:
       - name: Checkout repository
         uses: actions/checkout@v5
 
-      - name: Setup Node.js
-        uses: actions/setup-node@v6
-        with:
-          node-version: 'latest'
-
       - name: npm install, build
         run: |
           cd dashboard
-          npm install pnpm -g
-          pnpm install
-          pnpm i --save-dev @types/markdown-it
-          pnpm run build
+          npm install
+          npm run build
 
       - name: Inject Commit SHA
         id: get_sha
@@ -36,7 +29,7 @@ jobs:
           zip -r dist.zip dist
 
       - name: Archive production artifacts
-        uses: actions/upload-artifact@v5
+        uses: actions/upload-artifact@v4
         with:
           name: dist-without-markdown
           path: |
@@ -44,7 +37,6 @@ jobs:
             !dist/**/*.md
 
       - name: Create GitHub Release
-        if: github.event_name == 'push'
         uses: ncipollo/release-action@v1
         with:
           tag: release-${{ github.sha }}

.github/workflows/docker-image.yml

@@ -27,33 +27,6 @@ jobs:
         if: github.event_name == 'workflow_dispatch'
         run: git checkout ${{ steps.get-latest-tag.outputs.latest_tag }}
 
-      - name: Check if version is pre-release
-        id: check-prerelease
-        run: |
-          if [ "${{ github.event_name }}" == "workflow_dispatch" ]; then
-            version="${{ steps.get-latest-tag.outputs.latest_tag }}"
-          else
-            version="${{ github.ref_name }}"
-          fi
-          if [[ "$version" == *"beta"* ]] || [[ "$version" == *"alpha"* ]]; then
-            echo "is_prerelease=true" >> $GITHUB_OUTPUT
-            echo "Version $version is a pre-release, will not push latest tag"
-          else
-            echo "is_prerelease=false" >> $GITHUB_OUTPUT
-            echo "Version $version is a stable release, will push latest tag"
-          fi
-
-      - name: Build Dashboard
-        run: |
-          cd dashboard
-          npm install
-          npm run build
-          mkdir -p dist/assets
-          echo $(git rev-parse HEAD) > dist/assets/version
-          cd ..
-          mkdir -p data
-          cp -r dashboard/dist data/
-
       - name: Set QEMU
         uses: docker/setup-qemu-action@v3
 
@@ -80,9 +53,9 @@ jobs:
           platforms: linux/amd64,linux/arm64
           push: true
           tags: |
-            ${{ steps.check-prerelease.outputs.is_prerelease == 'false' && format('{0}/astrbot:latest', secrets.DOCKER_HUB_USERNAME) || '' }}
+            ${{ secrets.DOCKER_HUB_USERNAME }}/astrbot:latest
             ${{ secrets.DOCKER_HUB_USERNAME }}/astrbot:${{ github.event_name == 'workflow_dispatch' && steps.get-latest-tag.outputs.latest_tag || github.ref_name }}
-            ${{ steps.check-prerelease.outputs.is_prerelease == 'false' && 'ghcr.io/soulter/astrbot:latest' || '' }}
+            ghcr.io/soulter/astrbot:latest
             ghcr.io/soulter/astrbot:${{ github.event_name == 'workflow_dispatch' && steps.get-latest-tag.outputs.latest_tag || github.ref_name }}
 
       - name: Post build notifications

.github/workflows/stale.yml

@@ -18,7 +18,7 @@ jobs:
       pull-requests: write
 
     steps:
-    - uses: actions/stale@v10
+    - uses: actions/stale@v9
       with:
         repo-token: ${{ secrets.GITHUB_TOKEN }}
         stale-issue-message: 'Stale issue message'

.gitignore

@@ -1,49 +1,33 @@
-# Python related
 __pycache__
-.mypy_cache
-.venv*
-.conda/
-uv.lock
-.coverage
-
-# IDE and editors
-.vscode
-.idea
-
-# Logs and temporary files
 botpy.log
-logs/
-temp
-cookies.json
-
-# Data files
+.vscode
+.venv*
+.idea
 data_v2.db
 data_v3.db
-data
 configs/session
 configs/config.yaml
+**/.DS_Store
+temp
 cmd_config.json
-
-# Plugins and packages
+data
+cookies.json
+logs/
 addons/plugins
-packages/python_interpreter/workplace
-tests/astrbot_plugin_openai
+.coverage
 
-# Dashboard
+
+tests/astrbot_plugin_openai
+chroma
 dashboard/node_modules/
 dashboard/dist/
+.DS_Store
 package-lock.json
 package.json
-
-# Operating System
-**/.DS_Store
-.DS_Store
-
-# AstrBot specific
-.astrbot
-astrbot.lock
-
-# Other
-chroma
 venv/*
+packages/python_interpreter/workplace
+.venv/*
+.conda/
+.idea
 pytest.ini
+.astrbot

.pre-commit-config.yaml

@@ -6,20 +6,8 @@ ci:
   autoupdate_schedule: weekly
   autoupdate_commit_msg: ":balloon: pre-commit autoupdate"
 repos:
-- repo: https://github.com/astral-sh/ruff-pre-commit
-  # Ruff version.
-  rev: v0.14.1
-  hooks:
-    # Run the linter.
-    - id: ruff-check
-      types_or: [ python, pyi ]
-      args: [ --fix ]
-    # Run the formatter.
-    - id: ruff-format
-      types_or: [ python, pyi ]
-      
-- repo: https://github.com/asottile/pyupgrade
-  rev: v3.21.0
-  hooks:
-    - id: pyupgrade
-      args: [--py310-plus]
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.11.2
+    hooks:
+      - id: ruff
+      - id: ruff-format

Dockerfile

@@ -4,6 +4,8 @@ WORKDIR /AstrBot
 COPY . /AstrBot/
 
 RUN apt-get update && apt-get install -y --no-install-recommends \
+    nodejs \
+    npm \
     gcc \
     build-essential \
     python3-dev \
@@ -11,22 +13,23 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     libssl-dev \
     ca-certificates \
     bash \
-    ffmpeg \
-    curl \
-    gnupg \
-    git \
     && apt-get clean \
-    && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
+    && rm -rf /var/lib/apt/lists/*
 
-RUN curl -fsSL https://deb.nodesource.com/setup_lts.x | bash - && \
-    apt-get install -y --no-install-recommends nodejs && \
-    echo "3.11" > .python-version && \
-    rm -rf /var/lib/apt/lists/*
+RUN python -m pip install uv
+RUN uv pip install -r requirements.txt --no-cache-dir --system
+RUN uv pip install socksio uv pyffmpeg pilk --no-cache-dir --system
 
-RUN python -m pip install --no-cache-dir uv && \
-    uv pip install socksio pilk --no-cache-dir --system
+# 释出 ffmpeg
+RUN python -c "from pyffmpeg import FFmpeg; ff = FFmpeg();"
 
-EXPOSE 6185
+# add /root/.pyffmpeg/bin/ffmpeg to PATH, inorder to use ffmpeg
+RUN echo 'export PATH=$PATH:/root/.pyffmpeg/bin' >> ~/.bashrc
+
+EXPOSE 6185 
 EXPOSE 6186
 
-CMD ["uv", "run", "main.py"]
+CMD [ "python", "main.py" ]
+
+
+

Dockerfile_with_node

@@ -1,4 +1,4 @@
-FROM python:3.11-slim
+FROM python:3.10-slim
 
 WORKDIR /AstrBot
 
@@ -14,27 +14,22 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     unzip \
     ca-certificates \
     bash \
-    git \
     && apt-get clean \
-    && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
+    && rm -rf /var/lib/apt/lists/*
 
-ENV NVM_DIR="/root/.nvm" \
-    NODE_VERSION=22
+# Installation of Node.js
+ENV NVM_DIR="/root/.nvm"
 RUN curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.2/install.sh | bash && \
     . "$NVM_DIR/nvm.sh" && \
-    nvm install $NODE_VERSION && \
-    nvm use $NODE_VERSION && \
-    nvm alias default $NODE_VERSION && \
-    node -v && npm -v && \
-    echo "3.11" > .python-version
-ENV PATH="$NVM_DIR/versions/node/v$(node -v | cut -d 'v' -f 2)/bin:$PATH"
+    nvm install 22 && \
+    nvm use 22
+RUN /bin/bash -c ". \"$NVM_DIR/nvm.sh\" && node -v && npm -v"
 
-RUN python -m pip install --no-cache-dir uv
-
-# 安装项目依赖（根据指南，使用 uv sync）
-RUN uv sync --no-cache
+RUN python -m pip install uv
+RUN uv pip install -r requirements.txt --no-cache-dir --system
+RUN uv pip install socksio uv pyffmpeg --no-cache-dir --system
 
 EXPOSE 6185
 EXPOSE 6186
 
-CMD ["uv", "run", "main.py"]
+CMD ["python", "main.py"]

README.md

@@ -1,40 +1,33 @@
+<img width="430" height="31" alt="image" src="https://github.com/user-attachments/assets/474c822c-fab7-41be-8c23-6dae252823ed" /><p align="center">
+ 
 ![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
 
 </p>
 
 <div align="center">
 
-<br>
+_✨ 易上手的多平台 LLM 聊天机器人及开发框架 ✨_
 
-<div>
 <a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=1" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
-</div>
 
-<br>
-
-<div>
-<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?style=for-the-badge&color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/Soulter/AstrBot?style=for-the-badge&color=76bad9)](https://github.com/Soulter/AstrBot/releases/latest)
 <img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
 <a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
-<a href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="QQ_community" src="https://img.shields.io/badge/QQ群-775869627-purple?style=for-the-badge&color=76bad9"></a>
-<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%E4%B8%AA&style=for-the-badge&label=%E6%8F%92%E4%BB%B6%E5%B8%82%E5%9C%BA&cacheSeconds=3600">
+<a  href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="QQ_community" src="https://img.shields.io/badge/QQ群-775869627-purple?style=for-the-badge&color=76bad9"></a>
+<a  href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
+[![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg?style=for-the-badge&color=76bad9)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
+![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fstats&query=v&label=7日消息量&cacheSeconds=3600&style=for-the-badge&color=3b618e)
+![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%E4%B8%AA&style=for-the-badge&label=%E6%8F%92%E4%BB%B6%E5%B8%82%E5%9C%BA&cacheSeconds=3600)
+
+<a href="https://github.com/Soulter/AstrBot/blob/master/README_en.md">English</a> ｜
+<a href="https://github.com/Soulter/AstrBot/blob/master/README_ja.md">日本語</a> ｜
+<a href="https://astrbot.app/">查看文档</a> ｜
+<a href="https://github.com/Soulter/AstrBot/issues">问题提交</a>
 </div>
 
-<br>
+AstrBot 是一个开源的一站式 Agentic 聊天机器人平台及开发框架。
 
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a> ｜
-<a href="https://astrbot.app/">文档</a> ｜
-<a href="https://blog.astrbot.app/">Blog</a> ｜
-<a href="https://astrbot.featurebase.app/roadmap">路线图</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/issues">问题提交</a>
-</div>
-
-AstrBot 是一个开源的一站式 Agent 聊天机器人平台及开发框架。
-
-## 主要功能
+## ✨ 主要功能
 
 1. **大模型对话**。支持接入多种大模型服务。支持多模态、工具调用、MCP、原生知识库、人设等功能。
 2. **多消息平台支持**。支持接入 QQ、企业微信、微信公众号、飞书、Telegram、钉钉、Discord、KOOK 等平台。支持速率限制、白名单、百度内容审核。
@@ -42,9 +35,9 @@ AstrBot 是一个开源的一站式 Agent 聊天机器人平台及开发框架
 4. **插件扩展**。深度优化的插件机制，支持[开发插件](https://astrbot.app/dev/plugin.html)扩展功能，社区插件生态丰富。
 5. **WebUI**。可视化配置和管理机器人，功能齐全。
 
-## 部署方式
+## ✨ 使用方式
 
-#### Docker 部署(推荐 🥳)
+#### Docker 部署
 
 推荐使用 Docker / Docker Compose 方式部署 AstrBot。
 
@@ -72,7 +65,7 @@ AstrBot 已由雨云官方上架至云应用平台，可一键部署。
 
 社区贡献的部署方式。
 
-[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
+[![Run on Repl.it](https://repl.it/badge/github/Soulter/AstrBot)](https://repl.it/github/Soulter/AstrBot)
 
 #### Windows 一键安装器部署
 
@@ -86,7 +79,9 @@ AstrBot 已由雨云官方上架至云应用平台，可一键部署。
 
 #### 手动部署
 
-首先安装 uv：
+> 推荐使用 `uv`。
+
+首先，安装 uv：
 
 ```bash
 pip install uv
@@ -101,101 +96,53 @@ uv run main.py
 
 或者请参阅官方文档 [通过源码部署 AstrBot](https://astrbot.app/deploy/astrbot/cli.html) 。
 
-## 🌍 社区
-
-### QQ 群组
-
-- 1 群：322154837
-- 3 群：630166526
-- 5 群：822130018
-- 6 群：753075035
-- 开发者群：975206796
-
-### Telegram 群组
-
-<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-
-### Discord 群组
-
-<a href="https://discord.gg/hAVk6tgV36"><img alt="Discord_community" src="https://img.shields.io/badge/Discord-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-
 ## ⚡ 消息平台支持情况
 
-**官方维护**
-
 | 平台    | 支持性 |
 | -------- | ------- |
-| QQ(官方平台) | ✔    |
+| QQ(官方机器人接口) | ✔    |
 | QQ(OneBot)      | ✔    |
 | Telegram   | ✔    |
-| 企微应用    | ✔    |
-| 企微智能机器人 | ✔ |
+| 企业微信    | ✔    |
 | 微信客服    | ✔    |
 | 微信公众号    | ✔    |
 | 飞书   | ✔    |
 | 钉钉   | ✔    |
 | Slack   | ✔    |
 | Discord   | ✔    |
-| Satori   | ✔    |
-| Misskey   | ✔    |
-| Whatsapp | 将支持 |
-| LINE | 将支持 |
-
-**社区维护**
-
-| 平台    | 支持性 |
-| -------- | ------- |
 | [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)   | ✔    |
 | [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)   | ✔    |
-| [Bilibili 私信](https://github.com/Hina-Chat/astrbot_plugin_bilibili_adapter)   | ✔    |
-| [wxauto](https://github.com/luosheng520qaq/wxauto-repost-onebotv11)   | ✔    |
+| 微信对话开放平台 | 🚧    |
+| WhatsApp   | 🚧    |
+| 小爱音响   | 🚧    |
 
 ## ⚡ 提供商支持情况
 
-**大模型服务**
+| 名称    | 支持性 | 类型 | 备注 |
+| -------- | ------- | ------- | ------- |
+| OpenAI API | ✔    | 文本生成 | 也支持 DeepSeek、Gemini、Kimi、xAI 等兼容 OpenAI API 的服务 |
+| Claude API | ✔    | 文本生成 |  |
+| Google Gemini API | ✔    | 文本生成 |  |
+| Dify | ✔    | LLMOps |  |
+| 阿里云百炼应用 | ✔    | LLMOps |  |
+| Ollama | ✔    | 模型加载器 | 本地部署 DeepSeek、Llama 等开源语言模型 |
+| LM Studio | ✔    | 模型加载器 | 本地部署 DeepSeek、Llama 等开源语言模型 |
+| LLMTuner | ✔    | 模型加载器 | 本地加载 lora 等微调模型 |
+| [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | ✔    | 模型 API 及算力服务平台 |  |
+| [302.AI](https://share.302.ai/rr1M3l) | ✔    | 模型 API 服务平台 |  |
+| 硅基流动 | ✔    | 模型 API 服务平台 |  |
+| PPIO 派欧云 | ✔    | 模型 API 服务平台 |  |
+| OneAPI | ✔    | LLM 分发系统 |  |
+| Whisper | ✔    | 语音转文本 | 支持 API、本地部署 |
+| SenseVoice | ✔    | 语音转文本 | 本地部署 |
+| OpenAI TTS API | ✔    | 文本转语音 |  |
+| GSVI | ✔    | 文本转语音 | GPT-Sovits-Inference |
+| GPT-SoVITs | ✔    | 文本转语音 | GPT-Sovits-Inference |
+| FishAudio | ✔    | 文本转语音 | GPT-Sovits 作者参与的项目 |
+| Edge TTS | ✔    | 文本转语音 | Edge 浏览器的免费 TTS |
+| 阿里云百炼 TTS | ✔    | 文本转语音 |  |
+| Azure TTS | ✔    | 文本转语音 | Microsoft Azure TTS |
 
-| 名称  | 支持性 | 备注 |
-| -------- | ------- | ------- |
-| OpenAI | ✔    | 支持任何兼容 OpenAI API 的服务 |
-| Anthropic | ✔    |  |
-| Google Gemini | ✔   |  |
-| Moonshot AI | ✔   |  |
-| 智谱 AI | ✔   |  |
-| DeepSeek | ✔   |  |
-| Ollama | ✔     | 本地部署 DeepSeek 等开源语言模型 |
-| LM Studio | ✔    | 本地部署 DeepSeek 等开源语言模型 |
-| [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | ✔  |  |
-| [302.AI](https://share.302.ai/rr1M3l) | ✔   |  |
-| [小马算力](https://www.tokenpony.cn/3YPyf) | ✔   |  |
-| 硅基流动 | ✔    |  |
-| PPIO 派欧云 | ✔    |  |
-| ModelScope | ✔    |  |
-| OneAPI | ✔    |  |
-| Dify | ✔    |  |
-| 阿里云百炼应用 | ✔    |  |
-| Coze | ✔    |  |
-
-**语音转文本服务**
-
-| 名称  | 支持性 | 备注 |
-| -------- | ------- | ------- |
-| Whisper | ✔    | 支持 API、本地部署 |
-| SenseVoice | ✔   | 本地部署 |
-
-**文本转语音服务**
-
-| 名称  | 支持性 | 备注 |
-| -------- | ------- | ------- |
-| OpenAI TTS | ✔    |  |
-| Gemini TTS | ✔    |  |
-| GSVI | ✔    | GPT-Sovits-Inference |
-| GPT-SoVITs | ✔     | GPT-Sovits |
-| FishAudio | ✔    | |
-| Edge TTS | ✔    | Edge 浏览器的免费 TTS |
-| 阿里云百炼 TTS | ✔    |  |
-| Azure TTS | ✔   | |
-| Minimax TTS | ✔   | |
-| 火山引擎 TTS | ✔   | |
 
 ## ❤️ 贡献
 
@@ -210,11 +157,44 @@ uv run main.py
 AstrBot 使用 `ruff` 进行代码格式化和检查。
 
 ```bash
-git clone https://github.com/AstrBotDevs/AstrBot
+git clone https://github.com/Soulter/AstrBot
 pip install pre-commit
 pre-commit install
 ```
 
+## 🌟 支持
+
+- Star 这个项目！
+- 在[爱发电](https://afdian.com/a/soulter)支持我！
+
+## ✨ Demo
+
+<details><summary>👉 点击展开多张 Demo 截图 👈</summary>
+
+<div align='center'>
+
+<img src="https://github.com/user-attachments/assets/4ee688d9-467d-45c8-99d6-368f9a8a92d8" width="600">
+
+_✨基于 Docker 的沙箱化代码执行器（Beta 测试）✨_
+
+<img src="https://github.com/user-attachments/assets/0378f407-6079-4f64-ae4c-e97ab20611d2" height=500>
+
+_✨ 多模态、网页搜索、长文本转图片（可配置） ✨_
+
+<img src="https://github.com/user-attachments/assets/e137a9e1-340a-4bf2-bb2b-771132780735" height=150>
+<img src="https://github.com/user-attachments/assets/480f5e82-cf6a-4955-a869-0d73137aa6e1" height=150>
+
+_✨ 插件系统——部分插件展示 ✨_
+
+<img src="https://github.com/user-attachments/assets/0cdbf564-2f59-4da5-b524-ce0e7ef3d978" width=600>
+
+_✨ WebUI ✨_
+
+</div>
+
+</details>
+
+
 ## ❤️ Special Thanks
 
 特别感谢所有 Contributors 和插件开发者对 AstrBot 的贡献 ❤️
@@ -223,21 +203,24 @@ pre-commit install
   <img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
 </a>
 
-此外，本项目的诞生离不开以下开源项目的帮助：
+此外，本项目的诞生离不开以下开源项目：
 
 - [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - 伟大的猫猫框架
+- [wechatpy/wechatpy](https://github.com/wechatpy/wechatpy)
 
 ## ⭐ Star History
 
 > [!TIP] 
-> 如果本项目对您的生活 / 工作产生了帮助，或者您关注本项目的未来发展，请给项目 Star，这是我们维护这个开源项目的动力 <3
+> 如果本项目对您的生活 / 工作产生了帮助，或者您关注本项目的未来发展，请给项目 Star，这是我维护这个开源项目的动力 <3
 
 <div align="center">
-
-[![Star History Chart](https://api.star-history.com/svg?repos=astrbotdevs/astrbot&type=Date)](https://star-history.com/#astrbotdevs/astrbot&Date)
+    
+[![Star History Chart](https://api.star-history.com/svg?repos=soulter/astrbot&type=Date)](https://star-history.com/#soulter/astrbot&Date)
 
 </div>
 
-</details>
+![10k-star-banner-credit-by-kevin](https://github.com/user-attachments/assets/c97fc5fb-20b9-4bc8-9998-c20b930ab097)
+
 
 _私は、高性能ですから!_
+

README_en.md

@@ -10,16 +10,16 @@ _✨ Easy-to-use Multi-platform LLM Chatbot & Development Framework ✨_
 
 <a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
 
-[![GitHub release (latest by date)](https://img.shields.io/github/v/release/AstrBotDevs/AstrBot)](https://github.com/AstrBotDevs/AstrBot/releases/latest)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/Soulter/AstrBot)](https://github.com/Soulter/AstrBot/releases/latest)
 <img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
-<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot"/></a>
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg"/></a>
 <a  href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="Static Badge" src="https://img.shields.io/badge/QQ群-630166526-purple"></a>
 [![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
 ![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fstats&query=v&label=7%E6%97%A5%E6%B6%88%E6%81%AF%E4%B8%8A%E8%A1%8C%E9%87%8F&cacheSeconds=3600)
-[![codecov](https://codecov.io/gh/AstrBotDevs/AstrBot/graph/badge.svg?token=FF3P5967B8)](https://codecov.io/gh/AstrBotDevs/AstrBot)
+[![codecov](https://codecov.io/gh/Soulter/AstrBot/graph/badge.svg?token=FF3P5967B8)](https://codecov.io/gh/Soulter/AstrBot)
 
 <a href="https://astrbot.app/">Documentation</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/issues">Issue Tracking</a>
+<a href="https://github.com/Soulter/AstrBot/issues">Issue Tracking</a>
 </div>
 
 AstrBot is a loosely coupled, asynchronous chatbot and development framework that supports multi-platform deployment, featuring an easy-to-use plugin system and comprehensive Large Language Model (LLM) integration capabilities.
@@ -49,7 +49,7 @@ Requires Python (>3.10). See docs: [Windows Installer Guide](https://astrbot.app
 
 #### Replit Deployment
 
-[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
+[![Run on Repl.it](https://repl.it/badge/github/Soulter/AstrBot)](https://repl.it/github/Soulter/AstrBot)
 
 #### CasaOS Deployment
 
@@ -67,8 +67,8 @@ See docs: [Source Code Deployment](https://astrbot.app/deploy/astrbot/cli.html)
 | QQ (Official Bot)                                              | ✔      | Private/Group chats | Text, Images        |
 | QQ (OneBot)                                                    | ✔      | Private/Group chats | Text, Images, Voice |
 | WeChat (Personal)                                              | ✔      | Private/Group chats | Text, Images, Voice |
-| [Telegram](https://github.com/AstrBotDevs/AstrBot_plugin_telegram) | ✔      | Private/Group chats | Text, Images        |
-| [WeChat Work](https://github.com/AstrBotDevs/AstrBot_plugin_wecom) | ✔      | Private chats       | Text, Images, Voice |
+| [Telegram](https://github.com/Soulter/astrbot_plugin_telegram) | ✔      | Private/Group chats | Text, Images        |
+| [WeChat Work](https://github.com/Soulter/astrbot_plugin_wecom) | ✔      | Private chats       | Text, Images, Voice |
 | Feishu                                                         | ✔      | Group chats         | Text, Images        |
 | WeChat Open Platform                                           | 🚧      | Planned             | -                   |
 | Discord                                                        | 🚧      | Planned             | -                   |
@@ -157,7 +157,7 @@ _✨ Built-in Web Chat Interface ✨_
 
 <div align="center">
     
-[![Star History Chart](https://api.star-history.com/svg?repos=AstrBotDevs/AstrBot&type=Date)](https://star-history.com/#AstrBotDevs/AstrBot&Date)
+[![Star History Chart](https://api.star-history.com/svg?repos=soulter/astrbot&type=Date)](https://star-history.com/#soulter/astrbot&Date)
 
 </div>
 
@@ -169,7 +169,7 @@ _✨ Built-in Web Chat Interface ✨_
 
 <!-- ## ✨ ATRI [Beta]
 
-Available as plugin: [astrbot_plugin_atri](https://github.com/AstrBotDevs/AstrBot_plugin_atri)
+Available as plugin: [astrbot_plugin_atri](https://github.com/Soulter/astrbot_plugin_atri)
 
 1. Qwen1.5-7B-Chat Lora model fine-tuned with ATRI character data
 2. Long-term memory

README_ja.md

@@ -10,16 +10,16 @@ _✨ 簡単に使えるマルチプラットフォーム LLM チャットボッ
 
 <a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
 
-[![GitHub release (latest by date)](https://img.shields.io/github/v/release/AstrBotDevs/AstrBot)](https://github.com/AstrBotDevs/AstrBot/releases/latest)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/Soulter/AstrBot)](https://github.com/Soulter/AstrBot/releases/latest)
 <img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
 <a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg"/></a>
 <img alt="Static Badge" src="https://img.shields.io/badge/QQ群-630166526-purple">
 [![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
 ![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fstats&query=v&label=7%E6%97%A5%E6%B6%88%E6%81%AF%E4%B8%8A%E8%A1%8C%E9%87%8F&cacheSeconds=3600)
-[![codecov](https://codecov.io/gh/AstrBotDevs/AstrBot/graph/badge.svg?token=FF3P5967B8)](https://codecov.io/gh/AstrBotDevs/AstrBot)
+[![codecov](https://codecov.io/gh/Soulter/AstrBot/graph/badge.svg?token=FF3P5967B8)](https://codecov.io/gh/Soulter/AstrBot)
 
 <a href="https://astrbot.app/">ドキュメントを見る</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/issues">問題を報告する</a>
+<a href="https://github.com/Soulter/AstrBot/issues">問題を報告する</a>
 </div>
 
 AstrBot は、疎結合、非同期、複数のメッセージプラットフォームに対応したデプロイ、使いやすいプラグインシステム、および包括的な大規模言語モデル（LLM）接続機能を備えたチャットボットおよび開発フレームワークです。
@@ -50,7 +50,7 @@ AstrBot は、疎結合、非同期、複数のメッセージプラットフォ
 
 #### Replit デプロイ
 
-[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
+[![Run on Repl.it](https://repl.it/badge/github/Soulter/AstrBot)](https://repl.it/github/Soulter/AstrBot)
 
 #### CasaOS デプロイ
 

astrbot/api/__init__.py

@@ -1,19 +1,20 @@
-from astrbot import logger
-from astrbot.core import html_renderer, sp
-from astrbot.core.agent.tool import FunctionTool, ToolSet
-from astrbot.core.agent.tool_executor import BaseFunctionToolExecutor
 from astrbot.core.config.astrbot_config import AstrBotConfig
-from astrbot.core.star.register import register_agent as agent
+from astrbot import logger
+from astrbot.core import html_renderer
+from astrbot.core import sp
 from astrbot.core.star.register import register_llm_tool as llm_tool
+from astrbot.core.star.register import register_agent as agent
+from astrbot.core.agent.tool import ToolSet, FunctionTool
+from astrbot.core.agent.tool_executor import BaseFunctionToolExecutor
 
 __all__ = [
     "AstrBotConfig",
-    "BaseFunctionToolExecutor",
-    "FunctionTool",
-    "ToolSet",
-    "agent",
+    "logger",
     "html_renderer",
     "llm_tool",
-    "logger",
+    "agent",
     "sp",
+    "ToolSet",
+    "FunctionTool",
+    "BaseFunctionToolExecutor",
 ]

astrbot/api/event/__init__.py

@@ -1,17 +1,18 @@
 from astrbot.core.message.message_event_result import (
+    MessageEventResult,
+    MessageChain,
     CommandResult,
     EventResultType,
-    MessageChain,
-    MessageEventResult,
     ResultContentType,
 )
+
 from astrbot.core.platform import AstrMessageEvent
 
 __all__ = [
-    "AstrMessageEvent",
+    "MessageEventResult",
+    "MessageChain",
     "CommandResult",
     "EventResultType",
-    "MessageChain",
-    "MessageEventResult",
+    "AstrMessageEvent",
     "ResultContentType",
 ]

astrbot/api/event/filter/__init__.py

@@ -1,52 +1,49 @@
-from astrbot.core.star.filter.custom_filter import CustomFilter
-from astrbot.core.star.filter.event_message_type import (
-    EventMessageType,
-    EventMessageTypeFilter,
-)
-from astrbot.core.star.filter.permission import PermissionType, PermissionTypeFilter
-from astrbot.core.star.filter.platform_adapter_type import (
-    PlatformAdapterType,
-    PlatformAdapterTypeFilter,
-)
-from astrbot.core.star.register import register_after_message_sent as after_message_sent
-from astrbot.core.star.register import register_command as command
-from astrbot.core.star.register import register_command_group as command_group
-from astrbot.core.star.register import register_custom_filter as custom_filter
-from astrbot.core.star.register import register_event_message_type as event_message_type
-from astrbot.core.star.register import register_llm_tool as llm_tool
-from astrbot.core.star.register import register_on_astrbot_loaded as on_astrbot_loaded
-from astrbot.core.star.register import (
-    register_on_decorating_result as on_decorating_result,
-)
-from astrbot.core.star.register import register_on_llm_request as on_llm_request
-from astrbot.core.star.register import register_on_llm_response as on_llm_response
-from astrbot.core.star.register import register_on_platform_loaded as on_platform_loaded
-from astrbot.core.star.register import register_permission_type as permission_type
 from astrbot.core.star.register import (
+    register_command as command,
+    register_command_group as command_group,
+    register_event_message_type as event_message_type,
+    register_regex as regex,
     register_platform_adapter_type as platform_adapter_type,
+    register_permission_type as permission_type,
+    register_custom_filter as custom_filter,
+    register_on_astrbot_loaded as on_astrbot_loaded,
+    register_on_llm_request as on_llm_request,
+    register_on_llm_response as on_llm_response,
+    register_llm_tool as llm_tool,
+    register_on_decorating_result as on_decorating_result,
+    register_after_message_sent as after_message_sent,
 )
-from astrbot.core.star.register import register_regex as regex
+
+from astrbot.core.star.filter.event_message_type import (
+    EventMessageTypeFilter,
+    EventMessageType,
+)
+from astrbot.core.star.filter.platform_adapter_type import (
+    PlatformAdapterTypeFilter,
+    PlatformAdapterType,
+)
+from astrbot.core.star.filter.permission import PermissionTypeFilter, PermissionType
+from astrbot.core.star.filter.custom_filter import CustomFilter
 
 __all__ = [
-    "CustomFilter",
-    "EventMessageType",
-    "EventMessageTypeFilter",
-    "PermissionType",
-    "PermissionTypeFilter",
-    "PlatformAdapterType",
-    "PlatformAdapterTypeFilter",
-    "after_message_sent",
     "command",
     "command_group",
-    "custom_filter",
     "event_message_type",
-    "llm_tool",
-    "on_astrbot_loaded",
-    "on_decorating_result",
-    "on_llm_request",
-    "on_llm_response",
-    "on_platform_loaded",
-    "permission_type",
-    "platform_adapter_type",
     "regex",
+    "platform_adapter_type",
+    "permission_type",
+    "EventMessageTypeFilter",
+    "EventMessageType",
+    "PlatformAdapterTypeFilter",
+    "PlatformAdapterType",
+    "PermissionTypeFilter",
+    "CustomFilter",
+    "custom_filter",
+    "PermissionType",
+    "on_astrbot_loaded",
+    "on_llm_request",
+    "llm_tool",
+    "on_decorating_result",
+    "after_message_sent",
+    "on_llm_response",
 ]

astrbot/api/platform/__init__.py

@@ -1,22 +1,23 @@
-from astrbot.core.message.components import *
 from astrbot.core.platform import (
-    AstrBotMessage,
     AstrMessageEvent,
-    Group,
+    Platform,
+    AstrBotMessage,
     MessageMember,
     MessageType,
-    Platform,
     PlatformMetadata,
+    Group,
 )
+
 from astrbot.core.platform.register import register_platform_adapter
+from astrbot.core.message.components import *
 
 __all__ = [
-    "AstrBotMessage",
     "AstrMessageEvent",
-    "Group",
+    "Platform",
+    "AstrBotMessage",
     "MessageMember",
     "MessageType",
-    "Platform",
     "PlatformMetadata",
     "register_platform_adapter",
+    "Group",
 ]

astrbot/api/provider/__init__.py

@@ -1,17 +1,17 @@
-from astrbot.core.provider import Personality, Provider, STTProvider
+from astrbot.core.provider import Provider, STTProvider, Personality
 from astrbot.core.provider.entities import (
-    LLMResponse,
-    ProviderMetaData,
     ProviderRequest,
     ProviderType,
+    ProviderMetaData,
+    LLMResponse,
 )
 
 __all__ = [
-    "LLMResponse",
-    "Personality",
     "Provider",
-    "ProviderMetaData",
+    "STTProvider",
+    "Personality",
     "ProviderRequest",
     "ProviderType",
-    "STTProvider",
+    "ProviderMetaData",
+    "LLMResponse",
 ]

astrbot/api/star/__init__.py

@@ -1,7 +1,8 @@
-from astrbot.core.star import Context, Star, StarTools
-from astrbot.core.star.config import *
 from astrbot.core.star.register import (
     register_star as register,  # 注册插件（Star）
 )
 
-__all__ = ["Context", "Star", "StarTools", "register"]
+from astrbot.core.star import Context, Star, StarTools
+from astrbot.core.star.config import *
+
+__all__ = ["register", "Context", "Star", "StarTools"]

astrbot/api/util/__init__.py

@@ -1,7 +1,7 @@
 from astrbot.core.utils.session_waiter import (
-    SessionController,
     SessionWaiter,
+    SessionController,
     session_waiter,
 )
 
-__all__ = ["SessionController", "SessionWaiter", "session_waiter"]
+__all__ = ["SessionWaiter", "SessionController", "session_waiter"]

astrbot/cli/__main__.py

@@ -1,11 +1,11 @@
-"""AstrBot CLI入口"""
-
-import sys
+"""
+AstrBot CLI入口
+"""
 
 import click
-
+import sys
 from . import __version__
-from .commands import conf, init, plug, run
+from .commands import init, run, plug, conf
 
 logo_tmpl = r"""
      ___           _______.___________..______      .______     ______   .___________.

astrbot/cli/commands/__init__.py

@@ -1,6 +1,6 @@
-from .cmd_conf import conf
 from .cmd_init import init
-from .cmd_plug import plug
 from .cmd_run import run
+from .cmd_plug import plug
+from .cmd_conf import conf
 
-__all__ = ["conf", "init", "plug", "run"]
+__all__ = ["init", "run", "plug", "conf"]

astrbot/cli/commands/cmd_conf.py

@@ -1,12 +1,9 @@
-import hashlib
 import json
-import zoneinfo
-from collections.abc import Callable
-from typing import Any
-
 import click
-
-from ..utils import check_astrbot_root, get_astrbot_root
+import hashlib
+import zoneinfo
+from typing import Any, Callable
+from ..utils import get_astrbot_root, check_astrbot_root
 
 
 def _validate_log_level(value: str) -> str:
@@ -14,7 +11,7 @@ def _validate_log_level(value: str) -> str:
     value = value.upper()
     if value not in ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"]:
         raise click.ClickException(
-            "日志级别必须是 DEBUG/INFO/WARNING/ERROR/CRITICAL 之一",
+            "日志级别必须是 DEBUG/INFO/WARNING/ERROR/CRITICAL 之一"
         )
     return value
 
@@ -76,7 +73,7 @@ def _load_config() -> dict[str, Any]:
     root = get_astrbot_root()
     if not check_astrbot_root(root):
         raise click.ClickException(
-            f"{root}不是有效的 AstrBot 根目录，如需初始化请使用 astrbot init",
+            f"{root}不是有效的 AstrBot 根目录，如需初始化请使用 astrbot init"
         )
 
     config_path = root / "data" / "cmd_config.json"
@@ -91,7 +88,7 @@ def _load_config() -> dict[str, Any]:
     try:
         return json.loads(config_path.read_text(encoding="utf-8-sig"))
     except json.JSONDecodeError as e:
-        raise click.ClickException(f"配置文件解析失败: {e!s}")
+        raise click.ClickException(f"配置文件解析失败: {str(e)}")
 
 
 def _save_config(config: dict[str, Any]) -> None:
@@ -99,8 +96,7 @@ def _save_config(config: dict[str, Any]) -> None:
     config_path = get_astrbot_root() / "data" / "cmd_config.json"
 
     config_path.write_text(
-        json.dumps(config, ensure_ascii=False, indent=2),
-        encoding="utf-8-sig",
+        json.dumps(config, ensure_ascii=False, indent=2), encoding="utf-8-sig"
     )
 
 
@@ -112,7 +108,7 @@ def _set_nested_item(obj: dict[str, Any], path: str, value: Any) -> None:
             obj[part] = {}
         elif not isinstance(obj[part], dict):
             raise click.ClickException(
-                f"配置路径冲突: {'.'.join(parts[: parts.index(part) + 1])} 不是字典",
+                f"配置路径冲突: {'.'.join(parts[: parts.index(part) + 1])} 不是字典"
             )
         obj = obj[part]
     obj[parts[-1]] = value
@@ -144,6 +140,7 @@ def conf():
 
     - callback_api_base: 回调接口基址
     """
+    pass
 
 
 @conf.command(name="set")
@@ -151,7 +148,7 @@ def conf():
 @click.argument("value")
 def set_config(key: str, value: str):
     """设置配置项的值"""
-    if key not in CONFIG_VALIDATORS:
+    if key not in CONFIG_VALIDATORS.keys():
         raise click.ClickException(f"不支持的配置项: {key}")
 
     config = _load_config()
@@ -173,17 +170,17 @@ def set_config(key: str, value: str):
     except KeyError:
         raise click.ClickException(f"未知的配置项: {key}")
     except Exception as e:
-        raise click.UsageError(f"设置配置失败: {e!s}")
+        raise click.UsageError(f"设置配置失败: {str(e)}")
 
 
 @conf.command(name="get")
 @click.argument("key", required=False)
-def get_config(key: str | None = None):
+def get_config(key: str = None):
     """获取配置项的值，不提供key则显示所有可配置项"""
     config = _load_config()
 
     if key:
-        if key not in CONFIG_VALIDATORS:
+        if key not in CONFIG_VALIDATORS.keys():
             raise click.ClickException(f"不支持的配置项: {key}")
 
         try:
@@ -194,10 +191,10 @@ def get_config(key: str | None = None):
         except KeyError:
             raise click.ClickException(f"未知的配置项: {key}")
         except Exception as e:
-            raise click.UsageError(f"获取配置失败: {e!s}")
+            raise click.UsageError(f"获取配置失败: {str(e)}")
     else:
         click.echo("当前配置:")
-        for key in CONFIG_VALIDATORS:
+        for key in CONFIG_VALIDATORS.keys():
             try:
                 value = (
                     "********"

astrbot/cli/commands/cmd_init.py

@@ -1,5 +1,4 @@
 import asyncio
-from pathlib import Path
 
 import click
 from filelock import FileLock, Timeout
@@ -7,14 +6,14 @@ from filelock import FileLock, Timeout
 from ..utils import check_dashboard, get_astrbot_root
 
 
-async def initialize_astrbot(astrbot_root: Path) -> None:
+async def initialize_astrbot(astrbot_root) -> None:
     """执行 AstrBot 初始化逻辑"""
     dot_astrbot = astrbot_root / ".astrbot"
 
     if not dot_astrbot.exists():
         click.echo(f"Current Directory: {astrbot_root}")
         click.echo(
-            "如果你确认这是 Astrbot root directory, 你需要在当前目录下创建一个 .astrbot 文件标记该目录为 AstrBot 的数据目录。",
+            "如果你确认这是 Astrbot root directory, 你需要在当前目录下创建一个 .astrbot 文件标记该目录为 AstrBot 的数据目录。"
         )
         if click.confirm(
             f"请检查当前目录是否正确，确认正确请回车: {astrbot_root}",

astrbot/cli/commands/cmd_plug.py

@@ -1,29 +1,31 @@
 import re
-import shutil
 from pathlib import Path
 
 import click
+import shutil
+
 
 from ..utils import (
-    PluginStatus,
+    get_git_repo,
     build_plug_list,
+    manage_plugin,
+    PluginStatus,
     check_astrbot_root,
     get_astrbot_root,
-    get_git_repo,
-    manage_plugin,
 )
 
 
 @click.group()
 def plug():
     """插件管理"""
+    pass
 
 
 def _get_data_path() -> Path:
     base = get_astrbot_root()
     if not check_astrbot_root(base):
         raise click.ClickException(
-            f"{base}不是有效的 AstrBot 根目录，如需初始化请使用 astrbot init",
+            f"{base}不是有效的 AstrBot 根目录，如需初始化请使用 astrbot init"
         )
     return (base / "data").resolve()
 
@@ -39,7 +41,7 @@ def display_plugins(plugins, title=None, color=None):
         desc = p["desc"][:30] + ("..." if len(p["desc"]) > 30 else "")
         click.echo(
             f"{p['name']:<20} {p['version']:<10} {p['status']:<10} "
-            f"{p['author']:<15} {desc:<30}",
+            f"{p['author']:<15} {desc:<30}"
         )
 
 
@@ -76,7 +78,7 @@ def new(name: str):
             f"desc: {desc}\n"
             f"version: {version}\n"
             f"author: {author}\n"
-            f"repo: {repo}\n",
+            f"repo: {repo}\n"
         )
 
     # 重写 README.md
@@ -84,7 +86,7 @@ def new(name: str):
         f.write(f"# {name}\n\n{desc}\n\n# 支持\n\n[帮助文档](https://astrbot.app)\n")
 
     # 重写 main.py
-    with open(plug_path / "main.py", encoding="utf-8") as f:
+    with open(plug_path / "main.py", "r", encoding="utf-8") as f:
         content = f.read()
 
     new_content = content.replace(

astrbot/cli/commands/cmd_run.py

@@ -1,18 +1,19 @@
-import asyncio
 import os
 import sys
-import traceback
 from pathlib import Path
 
 import click
+import asyncio
+import traceback
+
 from filelock import FileLock, Timeout
 
-from ..utils import check_astrbot_root, check_dashboard, get_astrbot_root
+from ..utils import check_dashboard, check_astrbot_root, get_astrbot_root
 
 
 async def run_astrbot(astrbot_root: Path):
     """运行 AstrBot"""
-    from astrbot.core import LogBroker, LogManager, db_helper, logger
+    from astrbot.core import logger, LogManager, LogBroker, db_helper
     from astrbot.core.initial_loader import InitialLoader
 
     await check_dashboard(astrbot_root / "data")
@@ -37,7 +38,7 @@ def run(reload: bool, port: str) -> None:
 
         if not check_astrbot_root(astrbot_root):
             raise click.ClickException(
-                f"{astrbot_root}不是有效的 AstrBot 根目录，如需初始化请使用 astrbot init",
+                f"{astrbot_root}不是有效的 AstrBot 根目录，如需初始化请使用 astrbot init"
             )
 
         os.environ["ASTRBOT_ROOT"] = str(astrbot_root)

astrbot/cli/utils/__init__.py

@@ -1,18 +1,18 @@
 from .basic import (
+    get_astrbot_root,
     check_astrbot_root,
     check_dashboard,
-    get_astrbot_root,
 )
-from .plugin import PluginStatus, build_plug_list, get_git_repo, manage_plugin
+from .plugin import get_git_repo, manage_plugin, build_plug_list, PluginStatus
 from .version_comparator import VersionComparator
 
 __all__ = [
-    "PluginStatus",
-    "VersionComparator",
-    "build_plug_list",
+    "get_astrbot_root",
     "check_astrbot_root",
     "check_dashboard",
-    "get_astrbot_root",
     "get_git_repo",
     "manage_plugin",
+    "build_plug_list",
+    "VersionComparator",
+    "PluginStatus",
 ]

astrbot/cli/utils/basic.py

@@ -21,9 +21,8 @@ def get_astrbot_root() -> Path:
 
 async def check_dashboard(astrbot_root: Path) -> None:
     """检查是否安装了dashboard"""
+    from astrbot.core.utils.io import get_dashboard_version, download_dashboard
     from astrbot.core.config.default import VERSION
-    from astrbot.core.utils.io import download_dashboard, get_dashboard_version
-
     from .version_comparator import VersionComparator
 
     try:
@@ -38,10 +37,7 @@ async def check_dashboard(astrbot_root: Path) -> None:
                 ):
                     click.echo("正在安装管理面板...")
                     await download_dashboard(
-                        path="data/dashboard.zip",
-                        extract_path=str(astrbot_root),
-                        version=f"v{VERSION}",
-                        latest=False,
+                        path="data/dashboard.zip", extract_path=str(astrbot_root)
                     )
                     click.echo("管理面板安装完成")
 
@@ -49,26 +45,21 @@ async def check_dashboard(astrbot_root: Path) -> None:
                 if VersionComparator.compare_version(VERSION, dashboard_version) <= 0:
                     click.echo("管理面板已是最新版本")
                     return
-                try:
-                    version = dashboard_version.split("v")[1]
-                    click.echo(f"管理面板版本: {version}")
-                    await download_dashboard(
-                        path="data/dashboard.zip",
-                        extract_path=str(astrbot_root),
-                        version=f"v{VERSION}",
-                        latest=False,
-                    )
-                except Exception as e:
-                    click.echo(f"下载管理面板失败: {e}")
-                    return
+                else:
+                    try:
+                        version = dashboard_version.split("v")[1]
+                        click.echo(f"管理面板版本: {version}")
+                        await download_dashboard(
+                            path="data/dashboard.zip", extract_path=str(astrbot_root)
+                        )
+                    except Exception as e:
+                        click.echo(f"下载管理面板失败: {e}")
+                        return
     except FileNotFoundError:
         click.echo("初始化管理面板目录...")
         try:
             await download_dashboard(
-                path=str(astrbot_root / "dashboard.zip"),
-                extract_path=str(astrbot_root),
-                version=f"v{VERSION}",
-                latest=False,
+                path=str(astrbot_root / "dashboard.zip"), extract_path=str(astrbot_root)
             )
             click.echo("管理面板初始化完成")
         except Exception as e:

astrbot/cli/utils/plugin.py

@@ -1,14 +1,14 @@
 import shutil
 import tempfile
+
+import httpx
+import yaml
 from enum import Enum
 from io import BytesIO
 from pathlib import Path
 from zipfile import ZipFile
 
 import click
-import httpx
-import yaml
-
 from .version_comparator import VersionComparator
 
 
@@ -32,8 +32,7 @@ def get_git_repo(url: str, target_path: Path, proxy: str | None = None):
         release_url = f"https://api.github.com/repos/{author}/{repo}/releases"
         try:
             with httpx.Client(
-                proxy=proxy if proxy else None,
-                follow_redirects=True,
+                proxy=proxy if proxy else None, follow_redirects=True
             ) as client:
                 resp = client.get(release_url)
                 resp.raise_for_status()
@@ -56,8 +55,7 @@ def get_git_repo(url: str, target_path: Path, proxy: str | None = None):
 
         # 下载并解压
         with httpx.Client(
-            proxy=proxy if proxy else None,
-            follow_redirects=True,
+            proxy=proxy if proxy else None, follow_redirects=True
         ) as client:
             resp = client.get(download_url)
             if (
@@ -91,7 +89,6 @@ def load_yaml_metadata(plugin_dir: Path) -> dict:
 
     Returns:
         dict: 包含元数据的字典，如果读取失败则返回空字典
-
     """
     yaml_path = plugin_dir / "metadata.yaml"
     if yaml_path.exists():
@@ -110,7 +107,6 @@ def build_plug_list(plugins_dir: Path) -> list:
 
     Returns:
         list: 包含插件信息的字典列表
-
     """
     # 获取本地插件信息
     result = []
@@ -128,17 +124,15 @@ def build_plug_list(plugins_dir: Path) -> list:
             if metadata and all(
                 k in metadata for k in ["name", "desc", "version", "author", "repo"]
             ):
-                result.append(
-                    {
-                        "name": str(metadata.get("name", "")),
-                        "desc": str(metadata.get("desc", "")),
-                        "version": str(metadata.get("version", "")),
-                        "author": str(metadata.get("author", "")),
-                        "repo": str(metadata.get("repo", "")),
-                        "status": PluginStatus.INSTALLED,
-                        "local_path": str(plugin_dir),
-                    },
-                )
+                result.append({
+                    "name": str(metadata.get("name", "")),
+                    "desc": str(metadata.get("desc", "")),
+                    "version": str(metadata.get("version", "")),
+                    "author": str(metadata.get("author", "")),
+                    "repo": str(metadata.get("repo", "")),
+                    "status": PluginStatus.INSTALLED,
+                    "local_path": str(plugin_dir),
+                })
 
     # 获取在线插件列表
     online_plugins = []
@@ -148,17 +142,15 @@ def build_plug_list(plugins_dir: Path) -> list:
             resp.raise_for_status()
             data = resp.json()
             for plugin_id, plugin_info in data.items():
-                online_plugins.append(
-                    {
-                        "name": str(plugin_id),
-                        "desc": str(plugin_info.get("desc", "")),
-                        "version": str(plugin_info.get("version", "")),
-                        "author": str(plugin_info.get("author", "")),
-                        "repo": str(plugin_info.get("repo", "")),
-                        "status": PluginStatus.NOT_INSTALLED,
-                        "local_path": None,
-                    },
-                )
+                online_plugins.append({
+                    "name": str(plugin_id),
+                    "desc": str(plugin_info.get("desc", "")),
+                    "version": str(plugin_info.get("version", "")),
+                    "author": str(plugin_info.get("author", "")),
+                    "repo": str(plugin_info.get("repo", "")),
+                    "status": PluginStatus.NOT_INSTALLED,
+                    "local_path": None,
+                })
     except Exception as e:
         click.echo(f"获取在线插件列表失败: {e}", err=True)
 
@@ -172,8 +164,7 @@ def build_plug_list(plugins_dir: Path) -> list:
             )
             if (
                 VersionComparator.compare_version(
-                    local_plugin["version"],
-                    online_plugin["version"],
+                    local_plugin["version"], online_plugin["version"]
                 )
                 < 0
             ):
@@ -191,10 +182,7 @@ def build_plug_list(plugins_dir: Path) -> list:
 
 
 def manage_plugin(
-    plugin: dict,
-    plugins_dir: Path,
-    is_update: bool = False,
-    proxy: str | None = None,
+    plugin: dict, plugins_dir: Path, is_update: bool = False, proxy: str | None = None
 ) -> None:
     """安装或更新插件
 
@@ -203,7 +191,6 @@ def manage_plugin(
         plugins_dir (Path): 插件目录
         is_update (bool, optional): 是否为更新操作. 默认为 False
         proxy (str, optional): 代理服务器地址
-
     """
     plugin_name = plugin["name"]
     repo_url = plugin["repo"]
@@ -221,26 +208,26 @@ def manage_plugin(
         raise click.ClickException(f"插件 {plugin_name} 未安装，无法更新")
 
     # 备份现有插件
-    if is_update and backup_path is not None and backup_path.exists():
+    if is_update and backup_path.exists():
         shutil.rmtree(backup_path)
-    if is_update and backup_path is not None:
+    if is_update:
         shutil.copytree(target_path, backup_path)
 
     try:
         click.echo(
-            f"正在从 {repo_url} {'更新' if is_update else '下载'}插件 {plugin_name}...",
+            f"正在从 {repo_url} {'更新' if is_update else '下载'}插件 {plugin_name}..."
         )
         get_git_repo(repo_url, target_path, proxy)
 
         # 更新成功，删除备份
-        if is_update and backup_path is not None and backup_path.exists():
+        if is_update and backup_path.exists():
             shutil.rmtree(backup_path)
         click.echo(f"插件 {plugin_name} {'更新' if is_update else '安装'}成功")
     except Exception as e:
         if target_path.exists():
             shutil.rmtree(target_path, ignore_errors=True)
-        if is_update and backup_path is not None and backup_path.exists():
+        if is_update and backup_path.exists():
             shutil.move(backup_path, target_path)
         raise click.ClickException(
-            f"{'更新' if is_update else '安装'}插件 {plugin_name} 时出错: {e}",
+            f"{'更新' if is_update else '安装'}插件 {plugin_name} 时出错: {e}"
         )

astrbot/cli/utils/version_comparator.py

@@ -1,4 +1,6 @@
-"""拷贝自 astrbot.core.utils.version_comparator"""
+"""
+拷贝自 astrbot.core.utils.version_comparator
+"""
 
 import re
 
@@ -40,15 +42,15 @@ class VersionComparator:
         for i in range(length):
             if v1_parts[i] > v2_parts[i]:
                 return 1
-            if v1_parts[i] < v2_parts[i]:
+            elif v1_parts[i] < v2_parts[i]:
                 return -1
 
         # 比较预发布标签
         if v1_prerelease is None and v2_prerelease is not None:
             return 1  # 没有预发布标签的版本高于有预发布标签的版本
-        if v1_prerelease is not None and v2_prerelease is None:
+        elif v1_prerelease is not None and v2_prerelease is None:
             return -1  # 有预发布标签的版本低于没有预发布标签的版本
-        if v1_prerelease is not None and v2_prerelease is not None:
+        elif v1_prerelease is not None and v2_prerelease is not None:
             len_pre = max(len(v1_prerelease), len(v2_prerelease))
             for i in range(len_pre):
                 p1 = v1_prerelease[i] if i < len(v1_prerelease) else None
@@ -56,21 +58,21 @@ class VersionComparator:
 
                 if p1 is None and p2 is not None:
                     return -1
-                if p1 is not None and p2 is None:
+                elif p1 is not None and p2 is None:
                     return 1
-                if isinstance(p1, int) and isinstance(p2, str):
+                elif isinstance(p1, int) and isinstance(p2, str):
                     return -1
-                if isinstance(p1, str) and isinstance(p2, int):
+                elif isinstance(p1, str) and isinstance(p2, int):
                     return 1
-                if isinstance(p1, int) and isinstance(p2, int):
+                elif isinstance(p1, int) and isinstance(p2, int):
                     if p1 > p2:
                         return 1
-                    if p1 < p2:
+                    elif p1 < p2:
                         return -1
                 elif isinstance(p1, str) and isinstance(p2, str):
                     if p1 > p2:
                         return 1
-                    if p1 < p2:
+                    elif p1 < p2:
                         return -1
             return 0  # 预发布标签完全相同
 

astrbot/core/__init__.py

@@ -1,14 +1,12 @@
 import os
-
-from astrbot.core.config import AstrBotConfig
-from astrbot.core.config.default import DB_PATH
-from astrbot.core.db.sqlite import SQLiteDatabase
-from astrbot.core.file_token_service import FileTokenService
-from astrbot.core.utils.pip_installer import PipInstaller
-from astrbot.core.utils.shared_preferences import SharedPreferences
+from .log import LogManager, LogBroker  # noqa
 from astrbot.core.utils.t2i.renderer import HtmlRenderer
-
-from .log import LogBroker, LogManager  # noqa
+from astrbot.core.utils.shared_preferences import SharedPreferences
+from astrbot.core.utils.pip_installer import PipInstaller
+from astrbot.core.db.sqlite import SQLiteDatabase
+from astrbot.core.config.default import DB_PATH
+from astrbot.core.config import AstrBotConfig
+from astrbot.core.file_token_service import FileTokenService
 from .utils.astrbot_path import get_astrbot_data_path
 
 # 初始化数据存储文件夹

astrbot/core/agent/agent.py

@@ -1,14 +1,13 @@
 from dataclasses import dataclass
-from typing import Generic
-
-from .hooks import BaseAgentRunHooks
-from .run_context import TContext
 from .tool import FunctionTool
+from typing import Generic
+from .run_context import TContext
+from .hooks import BaseAgentRunHooks
 
 
 @dataclass
 class Agent(Generic[TContext]):
     name: str
     instructions: str | None = None
-    tools: list[str | FunctionTool] | None = None
+    tools: list[str, FunctionTool] | None = None
     run_hooks: BaseAgentRunHooks[TContext] | None = None

astrbot/core/agent/handoff.py

@@ -1,18 +1,14 @@
 from typing import Generic
-
+from .tool import FunctionTool
 from .agent import Agent
 from .run_context import TContext
-from .tool import FunctionTool
 
 
 class HandoffTool(FunctionTool, Generic[TContext]):
     """Handoff tool for delegating tasks to another agent."""
 
     def __init__(
-        self,
-        agent: Agent[TContext],
-        parameters: dict | None = None,
-        **kwargs,
+        self, agent: Agent[TContext], parameters: dict | None = None, **kwargs
     ):
         self.agent = agent
         super().__init__(

astrbot/core/agent/hooks.py

@@ -1,13 +1,12 @@
-from typing import Generic
-
 import mcp
-
-from astrbot.core.agent.tool import FunctionTool
-from astrbot.core.provider.entities import LLMResponse
-
+from dataclasses import dataclass
 from .run_context import ContextWrapper, TContext
+from typing import Generic
+from astrbot.core.provider.entities import LLMResponse
+from astrbot.core.agent.tool import FunctionTool
 
 
+@dataclass
 class BaseAgentRunHooks(Generic[TContext]):
     async def on_agent_begin(self, run_context: ContextWrapper[TContext]): ...
     async def on_tool_start(
@@ -24,7 +23,5 @@ class BaseAgentRunHooks(Generic[TContext]):
         tool_result: mcp.types.CallToolResult | None,
     ): ...
     async def on_agent_done(
-        self,
-        run_context: ContextWrapper[TContext],
-        llm_response: LLMResponse,
+        self, run_context: ContextWrapper[TContext], llm_response: LLMResponse
     ): ...

astrbot/core/agent/mcp_client.py

@@ -1,16 +1,11 @@
 import asyncio
 import logging
-from contextlib import AsyncExitStack
 from datetime import timedelta
-from typing import Generic
-
+from typing import Optional
+from contextlib import AsyncExitStack
 from astrbot import logger
-from astrbot.core.agent.run_context import ContextWrapper
 from astrbot.core.utils.log_pipe import LogPipe
 
-from .run_context import TContext
-from .tool import FunctionTool
-
 try:
     import mcp
     from mcp.client.sse import sse_client
@@ -21,13 +16,13 @@ try:
     from mcp.client.streamable_http import streamablehttp_client
 except (ModuleNotFoundError, ImportError):
     logger.warning(
-        "警告: 缺少依赖库 'mcp' 或者 mcp 库版本过低，无法使用 Streamable HTTP 连接方式。",
+        "警告: 缺少依赖库 'mcp' 或者 mcp 库版本过低，无法使用 Streamable HTTP 连接方式。"
     )
 
 
 def _prepare_config(config: dict) -> dict:
     """准备配置，处理嵌套格式"""
-    if config.get("mcpServers"):
+    if "mcpServers" in config and config["mcpServers"]:
         first_key = next(iter(config["mcpServers"]))
         config = config["mcpServers"][first_key]
     config.pop("active", None)
@@ -45,15 +40,8 @@ async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
     timeout = cfg.get("timeout", 10)
 
     try:
-        if "transport" in cfg:
-            transport_type = cfg["transport"]
-        elif "type" in cfg:
-            transport_type = cfg["type"]
-        else:
-            raise Exception("MCP 连接配置缺少 transport 或 type 字段")
-
         async with aiohttp.ClientSession() as session:
-            if transport_type == "streamable_http":
+            if cfg.get("transport") == "streamable_http":
                 test_payload = {
                     "jsonrpc": "2.0",
                     "method": "initialize",
@@ -76,7 +64,8 @@ async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
                 ) as response:
                     if response.status == 200:
                         return True, ""
-                    return False, f"HTTP {response.status}: {response.reason}"
+                    else:
+                        return False, f"HTTP {response.status}: {response.reason}"
             else:
                 async with session.get(
                     url,
@@ -88,7 +77,8 @@ async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
                 ) as response:
                     if response.status == 200:
                         return True, ""
-                    return False, f"HTTP {response.status}: {response.reason}"
+                    else:
+                        return False, f"HTTP {response.status}: {response.reason}"
 
     except asyncio.TimeoutError:
         return False, f"连接超时: {timeout}秒"
@@ -99,10 +89,10 @@ async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
 class MCPClient:
     def __init__(self):
         # Initialize session and client objects
-        self.session: mcp.ClientSession | None = None
+        self.session: Optional[mcp.ClientSession] = None
         self.exit_stack = AsyncExitStack()
 
-        self.name: str | None = None
+        self.name = None
         self.active: bool = True
         self.tools: list[mcp.Tool] = []
         self.server_errlogs: list[str] = []
@@ -118,7 +108,6 @@ class MCPClient:
 
         Args:
             mcp_server_config (dict): Configuration for the MCP server. See https://modelcontextprotocol.io/quickstart/server
-
         """
         cfg = _prepare_config(mcp_server_config.copy())
 
@@ -132,14 +121,7 @@ class MCPClient:
             if not success:
                 raise Exception(error_msg)
 
-            if "transport" in cfg:
-                transport_type = cfg["transport"]
-            elif "type" in cfg:
-                transport_type = cfg["type"]
-            else:
-                raise Exception("MCP 连接配置缺少 transport 或 type 字段")
-
-            if transport_type != "streamable_http":
+            if cfg.get("transport") != "streamable_http":
                 # SSE transport method
                 self._streams_context = sse_client(
                     url=cfg["url"],
@@ -148,22 +130,22 @@ class MCPClient:
                     sse_read_timeout=cfg.get("sse_read_timeout", 60 * 5),
                 )
                 streams = await self.exit_stack.enter_async_context(
-                    self._streams_context,
+                    self._streams_context
                 )
 
                 # Create a new client session
-                read_timeout = timedelta(seconds=cfg.get("session_read_timeout", 60))
+                read_timeout = timedelta(seconds=cfg.get("session_read_timeout", 20))
                 self.session = await self.exit_stack.enter_async_context(
                     mcp.ClientSession(
                         *streams,
                         read_timeout_seconds=read_timeout,
                         logging_callback=logging_callback,  # type: ignore
-                    ),
+                    )
                 )
             else:
                 timeout = timedelta(seconds=cfg.get("timeout", 30))
                 sse_read_timeout = timedelta(
-                    seconds=cfg.get("sse_read_timeout", 60 * 5),
+                    seconds=cfg.get("sse_read_timeout", 60 * 5)
                 )
                 self._streams_context = streamablehttp_client(
                     url=cfg["url"],
@@ -173,18 +155,18 @@ class MCPClient:
                     terminate_on_close=cfg.get("terminate_on_close", True),
                 )
                 read_s, write_s, _ = await self.exit_stack.enter_async_context(
-                    self._streams_context,
+                    self._streams_context
                 )
 
                 # Create a new client session
-                read_timeout = timedelta(seconds=cfg.get("session_read_timeout", 60))
+                read_timeout = timedelta(seconds=cfg.get("session_read_timeout", 20))
                 self.session = await self.exit_stack.enter_async_context(
                     mcp.ClientSession(
                         read_stream=read_s,
                         write_stream=write_s,
                         read_timeout_seconds=read_timeout,
                         logging_callback=logging_callback,  # type: ignore
-                    ),
+                    )
                 )
 
         else:
@@ -210,14 +192,12 @@ class MCPClient:
 
             # Create a new client session
             self.session = await self.exit_stack.enter_async_context(
-                mcp.ClientSession(*stdio_transport),
+                mcp.ClientSession(*stdio_transport)
             )
         await self.session.initialize()
 
     async def list_tools_and_save(self) -> mcp.ListToolsResult:
         """List all tools from the server and save them to self.tools"""
-        if not self.session:
-            raise Exception("MCP Client is not initialized")
         response = await self.session.list_tools()
         self.tools = response.tools
         return response
@@ -226,34 +206,3 @@ class MCPClient:
         """Clean up resources"""
         await self.exit_stack.aclose()
         self.running_event.set()  # Set the running event to indicate cleanup is done
-
-
-class MCPTool(FunctionTool, Generic[TContext]):
-    """A function tool that calls an MCP service."""
-
-    def __init__(
-        self, mcp_tool: mcp.Tool, mcp_client: MCPClient, mcp_server_name: str, **kwargs
-    ):
-        super().__init__(
-            name=mcp_tool.name,
-            description=mcp_tool.description or "",
-            parameters=mcp_tool.inputSchema,
-        )
-        self.mcp_tool = mcp_tool
-        self.mcp_client = mcp_client
-        self.mcp_server_name = mcp_server_name
-
-    async def call(
-        self, context: ContextWrapper[TContext], **kwargs
-    ) -> mcp.types.CallToolResult:
-        session = self.mcp_client.session
-        if not session:
-            raise ValueError("MCP session is not available for MCP function tools.")
-        res = await session.call_tool(
-            name=self.mcp_tool.name,
-            arguments=kwargs,
-            read_timeout_seconds=timedelta(
-                seconds=context.tool_call_timeout,
-            ),
-        )
-        return res

astrbot/core/agent/message.py

@@ -1,168 +0,0 @@
-# Inspired by MoonshotAI/kosong, credits to MoonshotAI/kosong authors for the original implementation.
-# License: Apache License 2.0
-
-from typing import Any, ClassVar, Literal, cast
-
-from pydantic import BaseModel, GetCoreSchemaHandler
-from pydantic_core import core_schema
-
-
-class ContentPart(BaseModel):
-    """A part of the content in a message."""
-
-    __content_part_registry: ClassVar[dict[str, type["ContentPart"]]] = {}
-
-    type: str
-
-    def __init_subclass__(cls, **kwargs: Any) -> None:
-        super().__init_subclass__(**kwargs)
-
-        invalid_subclass_error_msg = f"ContentPart subclass {cls.__name__} must have a `type` field of type `str`"
-
-        type_value = getattr(cls, "type", None)
-        if type_value is None or not isinstance(type_value, str):
-            raise ValueError(invalid_subclass_error_msg)
-
-        cls.__content_part_registry[type_value] = cls
-
-    @classmethod
-    def __get_pydantic_core_schema__(
-        cls, source_type: Any, handler: GetCoreSchemaHandler
-    ) -> core_schema.CoreSchema:
-        # If we're dealing with the base ContentPart class, use custom validation
-        if cls.__name__ == "ContentPart":
-
-            def validate_content_part(value: Any) -> Any:
-                # if it's already an instance of a ContentPart subclass, return it
-                if hasattr(value, "__class__") and issubclass(value.__class__, cls):
-                    return value
-
-                # if it's a dict with a type field, dispatch to the appropriate subclass
-                if isinstance(value, dict) and "type" in value:
-                    type_value: Any | None = cast(dict[str, Any], value).get("type")
-                    if not isinstance(type_value, str):
-                        raise ValueError(f"Cannot validate {value} as ContentPart")
-                    target_class = cls.__content_part_registry[type_value]
-                    return target_class.model_validate(value)
-
-                raise ValueError(f"Cannot validate {value} as ContentPart")
-
-            return core_schema.no_info_plain_validator_function(validate_content_part)
-
-        # for subclasses, use the default schema
-        return handler(source_type)
-
-
-class TextPart(ContentPart):
-    """
-    >>> TextPart(text="Hello, world!").model_dump()
-    {'type': 'text', 'text': 'Hello, world!'}
-    """
-
-    type: str = "text"
-    text: str
-
-
-class ImageURLPart(ContentPart):
-    """
-    >>> ImageURLPart(image_url="http://example.com/image.jpg").model_dump()
-    {'type': 'image_url', 'image_url': 'http://example.com/image.jpg'}
-    """
-
-    class ImageURL(BaseModel):
-        url: str
-        """The URL of the image, can be data URI scheme like `data:image/png;base64,...`."""
-        id: str | None = None
-        """The ID of the image, to allow LLMs to distinguish different images."""
-
-    type: str = "image_url"
-    image_url: str
-
-
-class AudioURLPart(ContentPart):
-    """
-    >>> AudioURLPart(audio_url=AudioURLPart.AudioURL(url="https://example.com/audio.mp3")).model_dump()
-    {'type': 'audio_url', 'audio_url': {'url': 'https://example.com/audio.mp3', 'id': None}}
-    """
-
-    class AudioURL(BaseModel):
-        url: str
-        """The URL of the audio, can be data URI scheme like `data:audio/aac;base64,...`."""
-        id: str | None = None
-        """The ID of the audio, to allow LLMs to distinguish different audios."""
-
-    type: str = "audio_url"
-    audio_url: AudioURL
-
-
-class ToolCall(BaseModel):
-    """
-    A tool call requested by the assistant.
-
-    >>> ToolCall(
-    ...     id="123",
-    ...     function=ToolCall.FunctionBody(
-    ...         name="function",
-    ...         arguments="{}"
-    ...     ),
-    ... ).model_dump()
-    {'type': 'function', 'id': '123', 'function': {'name': 'function', 'arguments': '{}'}}
-    """
-
-    class FunctionBody(BaseModel):
-        name: str
-        arguments: str | None
-
-    type: Literal["function"] = "function"
-
-    id: str
-    """The ID of the tool call."""
-    function: FunctionBody
-    """The function body of the tool call."""
-
-
-class ToolCallPart(BaseModel):
-    """A part of the tool call."""
-
-    arguments_part: str | None = None
-    """A part of the arguments of the tool call."""
-
-
-class Message(BaseModel):
-    """A message in a conversation."""
-
-    role: Literal[
-        "system",
-        "user",
-        "assistant",
-        "tool",
-    ]
-
-    content: str | list[ContentPart]
-    """The content of the message."""
-
-
-class AssistantMessageSegment(Message):
-    """A message segment from the assistant."""
-
-    role: Literal["assistant"] = "assistant"
-    tool_calls: list[ToolCall] | list[dict] | None = None
-
-
-class ToolCallMessageSegment(Message):
-    """A message segment representing a tool call."""
-
-    role: Literal["tool"] = "tool"
-    tool_call_id: str
-
-
-class UserMessageSegment(Message):
-    """A message segment from the user."""
-
-    role: Literal["user"] = "user"
-
-
-class SystemMessageSegment(Message):
-    """A message segment from the system."""
-
-    role: Literal["system"] = "system"

astrbot/core/agent/response.py

@@ -1,9 +1,7 @@
-import typing as T
 from dataclasses import dataclass
-
+import typing as T
 from astrbot.core.message.message_event_result import MessageChain
 
-
 class AgentResponseData(T.TypedDict):
     chain: MessageChain
 

astrbot/core/agent/run_context.py

@@ -1,8 +1,9 @@
 from dataclasses import dataclass
 from typing import Any, Generic
-
 from typing_extensions import TypeVar
 
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+
 TContext = TypeVar("TContext", default=Any)
 
 
@@ -11,7 +12,6 @@ class ContextWrapper(Generic[TContext]):
     """A context for running an agent, which can be used to pass additional data or state."""
 
     context: TContext
-    tool_call_timeout: int = 60  # Default tool call timeout in seconds
-
+    event: AstrMessageEvent
 
 NoContext = ContextWrapper[None]

astrbot/core/agent/runners/base.py

@@ -1,15 +1,13 @@
 import abc
 import typing as T
 from enum import Enum, auto
-
+from ..run_context import ContextWrapper, TContext
+from ..response import AgentResponse
+from ..hooks import BaseAgentRunHooks
+from ..tool_executor import BaseFunctionToolExecutor
 from astrbot.core.provider import Provider
 from astrbot.core.provider.entities import LLMResponse
 
-from ..hooks import BaseAgentRunHooks
-from ..response import AgentResponse
-from ..run_context import ContextWrapper, TContext
-from ..tool_executor import BaseFunctionToolExecutor
-
 
 class AgentState(Enum):
     """Defines the state of the agent."""
@@ -30,26 +28,31 @@ class BaseAgentRunner(T.Generic[TContext]):
         agent_hooks: BaseAgentRunHooks[TContext],
         **kwargs: T.Any,
     ) -> None:
-        """Reset the agent to its initial state.
+        """
+        Reset the agent to its initial state.
         This method should be called before starting a new run.
         """
         ...
 
     @abc.abstractmethod
     async def step(self) -> T.AsyncGenerator[AgentResponse, None]:
-        """Process a single step of the agent."""
+        """
+        Process a single step of the agent.
+        """
         ...
 
     @abc.abstractmethod
     def done(self) -> bool:
-        """Check if the agent has completed its task.
+        """
+        Check if the agent has completed its task.
         Returns True if the agent is done, False otherwise.
         """
         ...
 
     @abc.abstractmethod
     def get_final_llm_resp(self) -> LLMResponse | None:
-        """Get the final observation from the agent.
+        """
+        Get the final observation from the agent.
         This method should be called after the agent is done.
         """
         ...

astrbot/core/agent/runners/tool_loop_agent_runner.py

@@ -1,33 +1,31 @@
 import sys
 import traceback
 import typing as T
-
-from mcp.types import (
-    BlobResourceContents,
-    CallToolResult,
-    EmbeddedResource,
-    ImageContent,
-    TextContent,
-    TextResourceContents,
-)
-
-from astrbot import logger
+from .base import BaseAgentRunner, AgentResponse, AgentState
+from ..hooks import BaseAgentRunHooks
+from ..tool_executor import BaseFunctionToolExecutor
+from ..run_context import ContextWrapper, TContext
+from ..response import AgentResponseData
+from astrbot.core.provider.provider import Provider
 from astrbot.core.message.message_event_result import (
     MessageChain,
 )
 from astrbot.core.provider.entities import (
-    LLMResponse,
     ProviderRequest,
+    LLMResponse,
+    ToolCallMessageSegment,
+    AssistantMessageSegment,
     ToolCallsResult,
 )
-from astrbot.core.provider.provider import Provider
-
-from ..hooks import BaseAgentRunHooks
-from ..message import AssistantMessageSegment, ToolCallMessageSegment
-from ..response import AgentResponseData
-from ..run_context import ContextWrapper, TContext
-from ..tool_executor import BaseFunctionToolExecutor
-from .base import AgentResponse, AgentState, BaseAgentRunner
+from mcp.types import (
+    TextContent,
+    ImageContent,
+    EmbeddedResource,
+    TextResourceContents,
+    BlobResourceContents,
+    CallToolResult,
+)
+from astrbot import logger
 
 if sys.version_info >= (3, 12):
     from typing import override
@@ -72,7 +70,8 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
 
     @override
     async def step(self):
-        """Process a single step of the agent.
+        """
+        Process a single step of the agent.
         This method should return the result of the step.
         """
         if not self.req:
@@ -100,7 +99,7 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                     yield AgentResponse(
                         type="streaming_delta",
                         data=AgentResponseData(
-                            chain=MessageChain().message(llm_response.completion_text),
+                            chain=MessageChain().message(llm_response.completion_text)
                         ),
                     )
                 continue
@@ -121,8 +120,8 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                 type="err",
                 data=AgentResponseData(
                     chain=MessageChain().message(
-                        f"LLM 响应错误: {llm_resp.completion_text or '未知错误'}",
-                    ),
+                        f"LLM 响应错误: {llm_resp.completion_text or '未知错误'}"
+                    )
                 ),
             )
 
@@ -145,7 +144,7 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
             yield AgentResponse(
                 type="llm_result",
                 data=AgentResponseData(
-                    chain=MessageChain().message(llm_resp.completion_text),
+                    chain=MessageChain().message(llm_resp.completion_text)
                 ),
             )
 
@@ -156,7 +155,7 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                 yield AgentResponse(
                     type="tool_call",
                     data=AgentResponseData(
-                        chain=MessageChain().message(f"🔨 调用工具: {tool_call_name}"),
+                        chain=MessageChain().message(f"🔨 调用工具: {tool_call_name}")
                     ),
                 )
             async for result in self._handle_function_tools(self.req, llm_resp):
@@ -170,7 +169,8 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
             # 将结果添加到上下文中
             tool_calls_result = ToolCallsResult(
                 tool_calls_info=AssistantMessageSegment(
-                    tool_calls=llm_resp.to_openai_to_calls_model(),
+                    role="assistant",
+                    tool_calls=llm_resp.to_openai_tool_calls(),
                     content=llm_resp.completion_text,
                 ),
                 tool_calls_result=tool_call_result_blocks,
@@ -198,50 +198,9 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                 func_tool = req.func_tool.get_func(func_tool_name)
                 logger.info(f"使用工具：{func_tool_name}，参数：{func_tool_args}")
 
-                if not func_tool:
-                    logger.warning(f"未找到指定的工具: {func_tool_name}，将跳过。")
-                    tool_call_result_blocks.append(
-                        ToolCallMessageSegment(
-                            role="tool",
-                            tool_call_id=func_tool_id,
-                            content=f"error: 未找到工具 {func_tool_name}",
-                        ),
-                    )
-                    continue
-
-                valid_params = {}  # 参数过滤：只传递函数实际需要的参数
-
-                # 获取实际的 handler 函数
-                if func_tool.handler:
-                    logger.debug(
-                        f"工具 {func_tool_name} 期望的参数: {func_tool.parameters}",
-                    )
-                    if func_tool.parameters and func_tool.parameters.get("properties"):
-                        expected_params = set(func_tool.parameters["properties"].keys())
-
-                        valid_params = {
-                            k: v
-                            for k, v in func_tool_args.items()
-                            if k in expected_params
-                        }
-
-                    # 记录被忽略的参数
-                    ignored_params = set(func_tool_args.keys()) - set(
-                        valid_params.keys(),
-                    )
-                    if ignored_params:
-                        logger.warning(
-                            f"工具 {func_tool_name} 忽略非期望参数: {ignored_params}",
-                        )
-                else:
-                    # 如果没有 handler（如 MCP 工具），使用所有参数
-                    valid_params = func_tool_args
-
                 try:
                     await self.agent_hooks.on_tool_start(
-                        self.run_context,
-                        func_tool,
-                        valid_params,
+                        self.run_context, func_tool, func_tool_args
                     )
                 except Exception as e:
                     logger.error(f"Error in on_tool_start hook: {e}", exc_info=True)
@@ -249,21 +208,18 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                 executor = self.tool_executor.execute(
                     tool=func_tool,
                     run_context=self.run_context,
-                    **valid_params,  # 只传递有效的参数
+                    **func_tool_args,
                 )
-
-                _final_resp: CallToolResult | None = None
-                async for resp in executor:  # type: ignore
+                async for resp in executor:
                     if isinstance(resp, CallToolResult):
                         res = resp
-                        _final_resp = resp
                         if isinstance(res.content[0], TextContent):
                             tool_call_result_blocks.append(
                                 ToolCallMessageSegment(
                                     role="tool",
                                     tool_call_id=func_tool_id,
                                     content=res.content[0].text,
-                                ),
+                                )
                             )
                             yield MessageChain().message(res.content[0].text)
                         elif isinstance(res.content[0], ImageContent):
@@ -272,10 +228,10 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                                     role="tool",
                                     tool_call_id=func_tool_id,
                                     content="返回了图片(已直接发送给用户)",
-                                ),
+                                )
                             )
                             yield MessageChain(type="tool_direct_result").base64_image(
-                                res.content[0].data,
+                                res.content[0].data
                             )
                         elif isinstance(res.content[0], EmbeddedResource):
                             resource = res.content[0].resource
@@ -285,7 +241,7 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                                         role="tool",
                                         tool_call_id=func_tool_id,
                                         content=resource.text,
-                                    ),
+                                    )
                                 )
                                 yield MessageChain().message(resource.text)
                             elif (
@@ -298,52 +254,72 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                                         role="tool",
                                         tool_call_id=func_tool_id,
                                         content="返回了图片(已直接发送给用户)",
-                                    ),
+                                    )
                                 )
                                 yield MessageChain(
-                                    type="tool_direct_result",
-                                ).base64_image(resource.blob)
+                                    type="tool_direct_result"
+                                ).base64_image(res.content[0].data)
                             else:
                                 tool_call_result_blocks.append(
                                     ToolCallMessageSegment(
                                         role="tool",
                                         tool_call_id=func_tool_id,
                                         content="返回的数据类型不受支持",
-                                    ),
+                                    )
                                 )
                                 yield MessageChain().message("返回的数据类型不受支持。")
 
+                            try:
+                                await self.agent_hooks.on_tool_end(
+                                    self.run_context,
+                                    func_tool_name,
+                                    func_tool_args,
+                                    resp,
+                                )
+                            except Exception as e:
+                                logger.error(
+                                    f"Error in on_tool_end hook: {e}", exc_info=True
+                                )
                     elif resp is None:
                         # Tool 直接请求发送消息给用户
                         # 这里我们将直接结束 Agent Loop。
-                        # 发送消息逻辑在 ToolExecutor 中处理了。
-                        logger.warning(
-                            f"{func_tool_name} 没有没有返回值或者将结果直接发送给用户，此工具调用不会被记录到历史中。"
-                        )
                         self._transition_state(AgentState.DONE)
+                        if res := self.run_context.event.get_result():
+                            if res.chain:
+                                yield MessageChain(
+                                    chain=res.chain, type="tool_direct_result"
+                                )
+                        try:
+                            await self.agent_hooks.on_tool_end(
+                                self.run_context, func_tool_name, func_tool_args, None
+                            )
+                        except Exception as e:
+                            logger.error(
+                                f"Error in on_tool_end hook: {e}", exc_info=True
+                            )
                     else:
-                        # 不应该出现其他类型
                         logger.warning(
-                            f"Tool 返回了不支持的类型: {type(resp)}，将忽略。",
+                            f"Tool 返回了不支持的类型: {type(resp)}，将忽略。"
                         )
 
-                try:
-                    await self.agent_hooks.on_tool_end(
-                        self.run_context,
-                        func_tool,
-                        func_tool_args,
-                        _final_resp,
-                    )
-                except Exception as e:
-                    logger.error(f"Error in on_tool_end hook: {e}", exc_info=True)
+                        try:
+                            await self.agent_hooks.on_tool_end(
+                                self.run_context, func_tool_name, func_tool_args, None
+                            )
+                        except Exception as e:
+                            logger.error(
+                                f"Error in on_tool_end hook: {e}", exc_info=True
+                            )
+
+                self.run_context.event.clear_result()
             except Exception as e:
                 logger.warning(traceback.format_exc())
                 tool_call_result_blocks.append(
                     ToolCallMessageSegment(
                         role="tool",
                         tool_call_id=func_tool_id,
-                        content=f"error: {e!s}",
-                    ),
+                        content=f"error: {str(e)}",
+                    )
                 )
 
         # 处理函数调用响应

astrbot/core/agent/tool.py

@@ -1,77 +1,57 @@
-from collections.abc import Awaitable, Callable
-from typing import Any, Generic
-
-import jsonschema
-import mcp
+from dataclasses import dataclass
 from deprecated import deprecated
-from pydantic import model_validator
-from pydantic.dataclasses import dataclass
-
-from .run_context import ContextWrapper, TContext
-
-ParametersType = dict[str, Any]
+from typing import Awaitable, Literal, Any, Optional
+from .mcp_client import MCPClient
 
 
 @dataclass
-class ToolSchema:
-    """A class representing the schema of a tool for function calling."""
-
-    name: str
-    """The name of the tool."""
-
-    description: str
-    """The description of the tool."""
-
-    parameters: ParametersType
-    """The parameters of the tool, in JSON Schema format."""
-
-    @model_validator(mode="after")
-    def validate_parameters(self) -> "ToolSchema":
-        jsonschema.validate(
-            self.parameters, jsonschema.Draft202012Validator.META_SCHEMA
-        )
-        return self
-
-
-@dataclass
-class FunctionTool(ToolSchema, Generic[TContext]):
-    """A callable tool, for function calling."""
-
-    handler: Callable[..., Awaitable[Any]] | None = None
-    """a callable that implements the tool's functionality. It should be an async function."""
+class FunctionTool:
+    """A class representing a function tool that can be used in function calling."""
 
+    name: str | None = None
+    parameters: dict | None = None
+    description: str | None = None
+    handler: Awaitable | None = None
+    """处理函数, 当 origin 为 mcp 时，这个为空"""
     handler_module_path: str | None = None
-    """
-    The module path of the handler function. This is empty when the origin is mcp.
-    This field must be retained, as the handler will be wrapped in functools.partial during initialization,
-    causing the handler's __module__ to be functools
+    """处理函数的模块路径，当 origin 为 mcp 时，这个为空
+
+    必须要保留这个字段, handler 在初始化会被 functools.partial 包装，导致 handler 的 __module__ 为 functools
     """
     active: bool = True
-    """
-    Whether the tool is active. This field is a special field for AstrBot.
-    You can ignore it when integrating with other frameworks.
-    """
+    """是否激活"""
+
+    origin: Literal["local", "mcp"] = "local"
+    """函数工具的来源, local 为本地函数工具, mcp 为 MCP 服务"""
+
+    # MCP 相关字段
+    mcp_server_name: str | None = None
+    """MCP 服务名称，当 origin 为 mcp 时有效"""
+    mcp_client: MCPClient | None = None
+    """MCP 客户端，当 origin 为 mcp 时有效"""
 
     def __repr__(self):
-        return f"FuncTool(name={self.name}, parameters={self.parameters}, description={self.description})"
+        return f"FuncTool(name={self.name}, parameters={self.parameters}, description={self.description}, active={self.active}, origin={self.origin})"
 
-    async def call(
-        self, context: ContextWrapper[TContext], **kwargs
-    ) -> str | mcp.types.CallToolResult:
-        """Run the tool with the given arguments. The handler field has priority."""
-        raise NotImplementedError(
-            "FunctionTool.call() must be implemented by subclasses or set a handler."
-        )
+    def __dict__(self) -> dict[str, Any]:
+        """将 FunctionTool 转换为字典格式"""
+        return {
+            "name": self.name,
+            "parameters": self.parameters,
+            "description": self.description,
+            "active": self.active,
+            "origin": self.origin,
+            "mcp_server_name": self.mcp_server_name,
+        }
 
 
 class ToolSet:
     """A set of function tools that can be used in function calling.
 
     This class provides methods to add, remove, and retrieve tools, as well as
-    convert the tools to different API formats (OpenAI, Anthropic, Google GenAI).
-    """
+    convert the tools to different API formats (OpenAI, Anthropic, Google GenAI)."""
 
-    def __init__(self, tools: list[FunctionTool] | None = None):
+    def __init__(self, tools: list[FunctionTool] = None):
         self.tools: list[FunctionTool] = tools or []
 
     def empty(self) -> bool:
@@ -91,7 +71,7 @@ class ToolSet:
         """Remove a tool by its name."""
         self.tools = [tool for tool in self.tools if tool.name != name]
 
-    def get_tool(self, name: str) -> FunctionTool | None:
+    def get_tool(self, name: str) -> Optional[FunctionTool]:
         """Get a tool by its name."""
         for tool in self.tools:
             if tool.name == name:
@@ -99,13 +79,7 @@ class ToolSet:
         return None
 
     @deprecated(reason="Use add_tool() instead", version="4.0.0")
-    def add_func(
-        self,
-        name: str,
-        func_args: list,
-        desc: str,
-        handler: Callable[..., Awaitable[Any]],
-    ):
+    def add_func(self, name: str, func_args: list, desc: str, handler: Awaitable):
         """Add a function tool to the set."""
         params = {
             "type": "object",  # hard-coded here
@@ -130,7 +104,7 @@ class ToolSet:
         self.remove_tool(name)
 
     @deprecated(reason="Use get_tool() instead", version="4.0.0")
-    def get_func(self, name: str) -> FunctionTool | None:
+    def get_func(self, name: str) -> list[FunctionTool]:
         """Get all function tools."""
         return self.get_tool(name)
 
@@ -151,9 +125,7 @@ class ToolSet:
                 },
             }
 
-            if (
-                tool.parameters and tool.parameters.get("properties")
-            ) or not omit_empty_parameter_field:
+            if tool.parameters.get("properties") or not omit_empty_parameter_field:
                 func_def["function"]["parameters"] = tool.parameters
 
             result.append(func_def)
@@ -163,14 +135,14 @@ class ToolSet:
         """Convert tools to Anthropic API format."""
         result = []
         for tool in self.tools:
-            input_schema = {"type": "object"}
-            if tool.parameters:
-                input_schema["properties"] = tool.parameters.get("properties", {})
-                input_schema["required"] = tool.parameters.get("required", [])
             tool_def = {
                 "name": tool.name,
                 "description": tool.description,
-                "input_schema": input_schema,
+                "input_schema": {
+                    "type": "object",
+                    "properties": tool.parameters.get("properties", {}),
+                    "required": tool.parameters.get("required", []),
+                },
             }
             result.append(tool_def)
         return result
@@ -203,8 +175,7 @@ class ToolSet:
             if "type" in schema and schema["type"] in supported_types:
                 result["type"] = schema["type"]
                 if "format" in schema and schema["format"] in supported_formats.get(
-                    result["type"],
-                    set(),
+                    result["type"], set()
                 ):
                     result["format"] = schema["format"]
             else:
@@ -239,15 +210,14 @@ class ToolSet:
 
             return result
 
-        tools = []
-        for tool in self.tools:
-            d: dict[str, Any] = {
+        tools = [
+            {
                 "name": tool.name,
                 "description": tool.description,
+                "parameters": convert_schema(tool.parameters),
             }
-            if tool.parameters:
-                d["parameters"] = convert_schema(tool.parameters)
-            tools.append(d)
+            for tool in self.tools
+        ]
 
         declarations = {}
         if tools:

astrbot/core/agent/tool_executor.py

@@ -1,17 +1,11 @@
-from collections.abc import AsyncGenerator
-from typing import Any, Generic
-
 import mcp
-
-from .run_context import ContextWrapper, TContext
+from typing import Any, Generic, AsyncGenerator
+from .run_context import TContext, ContextWrapper
 from .tool import FunctionTool
 
 
 class BaseFunctionToolExecutor(Generic[TContext]):
     @classmethod
     async def execute(
-        cls,
-        tool: FunctionTool,
-        run_context: ContextWrapper[TContext],
-        **tool_args,
+        cls, tool: FunctionTool, run_context: ContextWrapper[TContext], **tool_args
     ) -> AsyncGenerator[Any | mcp.types.CallToolResult, None]: ...

astrbot/core/astr_agent_context.py

@@ -1,6 +1,4 @@
 from dataclasses import dataclass
-
-from astrbot.core.platform.astr_message_event import AstrMessageEvent
 from astrbot.core.provider import Provider
 from astrbot.core.provider.entities import ProviderRequest
 
@@ -11,4 +9,3 @@ class AstrAgentContext:
     first_provider_request: ProviderRequest
     curr_provider_request: ProviderRequest
     streaming: bool
-    event: AstrMessageEvent

astrbot/core/astrbot_config_mgr.py

@@ -1,14 +1,12 @@
 import os
 import uuid
-from typing import TypedDict, TypeVar
-
 from astrbot.core import AstrBotConfig, logger
+from astrbot.core.utils.shared_preferences import SharedPreferences
 from astrbot.core.config.astrbot_config import ASTRBOT_CONFIG_PATH
 from astrbot.core.config.default import DEFAULT_CONFIG
 from astrbot.core.platform.message_session import MessageSession
-from astrbot.core.umop_config_router import UmopConfigRouter
 from astrbot.core.utils.astrbot_path import get_astrbot_config_path
-from astrbot.core.utils.shared_preferences import SharedPreferences
+from typing import TypeVar, TypedDict
 
 _VT = TypeVar("_VT")
 
@@ -17,12 +15,14 @@ class ConfInfo(TypedDict):
     """Configuration information for a specific session or platform."""
 
     id: str  # UUID of the configuration or "default"
+    umop: list[str]  # Unified Message Origin Pattern
     name: str
     path: str  # File name to the configuration file
 
 
 DEFAULT_CONFIG_CONF_INFO = ConfInfo(
     id="default",
+    umop=["::"],
     name="default",
     path=ASTRBOT_CONFIG_PATH,
 )
@@ -31,35 +31,18 @@ DEFAULT_CONFIG_CONF_INFO = ConfInfo(
 class AstrBotConfigManager:
     """A class to manage the system configuration of AstrBot, aka ACM"""
 
-    def __init__(
-        self,
-        default_config: AstrBotConfig,
-        ucr: UmopConfigRouter,
-        sp: SharedPreferences,
-    ):
+    def __init__(self, default_config: AstrBotConfig, sp: SharedPreferences):
         self.sp = sp
-        self.ucr = ucr
         self.confs: dict[str, AstrBotConfig] = {}
         """uuid / "default" -> AstrBotConfig"""
         self.confs["default"] = default_config
-        self.abconf_data = None
         self._load_all_configs()
 
-    def _get_abconf_data(self) -> dict:
-        """获取所有的 abconf 数据"""
-        if self.abconf_data is None:
-            self.abconf_data = self.sp.get(
-                "abconf_mapping",
-                {},
-                scope="global",
-                scope_id="global",
-            )
-        return self.abconf_data
-
     def _load_all_configs(self):
         """Load all configurations from the shared preferences."""
-        abconf_data = self._get_abconf_data()
-        self.abconf_data = abconf_data
+        abconf_data = self.sp.get(
+            "abconf_mapping", {}, scope="global", scope_id="global"
+        )
         for uuid_, meta in abconf_data.items():
             filename = meta["path"]
             conf_path = os.path.join(get_astrbot_config_path(), filename)
@@ -68,20 +51,30 @@ class AstrBotConfigManager:
                 self.confs[uuid_] = conf
             else:
                 logger.warning(
-                    f"Config file {conf_path} for UUID {uuid_} does not exist, skipping.",
+                    f"Config file {conf_path} for UUID {uuid_} does not exist, skipping."
                 )
                 continue
 
+    def _is_umo_match(self, p1: str, p2: str) -> bool:
+        """判断 p2 umo 是否逻辑包含于 p1 umo"""
+        p1_ls = p1.split(":")
+        p2_ls = p2.split(":")
+
+        if len(p1_ls) != 3 or len(p2_ls) != 3:
+            return False  # 非法格式
+
+        return all(p == "" or p == "*" or p == t for p, t in zip(p1_ls, p2_ls))
+
     def _load_conf_mapping(self, umo: str | MessageSession) -> ConfInfo:
         """获取指定 umo 的配置文件 uuid, 如果不存在则返回默认配置(返回 "default")
 
         Returns:
             ConfInfo: 包含配置文件的 uuid, 路径和名称等信息, 是一个 dict 类型
-
         """
-        # uuid -> { "path": str, "name": str }
-        abconf_data = self._get_abconf_data()
-
+        # uuid -> { "umop": list, "path": str, "name": str }
+        abconf_data = self.sp.get(
+            "abconf_mapping", {}, scope="global", scope_id="global"
+        )
         if isinstance(umo, MessageSession):
             umo = str(umo)
         else:
@@ -90,13 +83,10 @@ class AstrBotConfigManager:
             except Exception:
                 return DEFAULT_CONFIG_CONF_INFO
 
-        conf_id = self.ucr.get_conf_id_for_umop(umo)
-        if conf_id:
-            meta = abconf_data.get(conf_id)
-            if meta and isinstance(meta, dict):
-                # the bind relation between umo and conf is defined in ucr now, so we remove "umop" here
-                meta.pop("umop", None)
-                return ConfInfo(**meta, id=conf_id)
+        for uuid_, meta in abconf_data.items():
+            for pattern in meta["umop"]:
+                if self._is_umo_match(pattern, umo):
+                    return ConfInfo(**meta, id=uuid_)
 
         return DEFAULT_CONFIG_CONF_INFO
 
@@ -104,22 +94,27 @@ class AstrBotConfigManager:
         self,
         abconf_path: str,
         abconf_id: str,
+        umo_parts: list[str] | list[MessageSession],
         abconf_name: str | None = None,
     ) -> None:
         """保存配置文件的映射关系"""
+        for part in umo_parts:
+            if isinstance(part, MessageSession):
+                part = str(part)
+            elif not isinstance(part, str):
+                raise ValueError(
+                    "umo_parts must be a list of strings or MessageSession instances"
+                )
         abconf_data = self.sp.get(
-            "abconf_mapping",
-            {},
-            scope="global",
-            scope_id="global",
+            "abconf_mapping", {}, scope="global", scope_id="global"
         )
         random_word = abconf_name or uuid.uuid4().hex[:8]
         abconf_data[abconf_id] = {
+            "umop": umo_parts,
             "path": abconf_path,
             "name": random_word,
         }
         self.sp.put("abconf_mapping", abconf_data, scope="global", scope_id="global")
-        self.abconf_data = abconf_data
 
     def get_conf(self, umo: str | MessageSession | None) -> AstrBotConfig:
         """获取指定 umo 的配置文件。如果不存在，则 fallback 到默认配置文件。"""
@@ -151,26 +146,31 @@ class AstrBotConfigManager:
     def get_conf_list(self) -> list[ConfInfo]:
         """获取所有配置文件的元数据列表"""
         conf_list = []
-        abconf_mapping = self._get_abconf_data()
-        for uuid_, meta in abconf_mapping.items():
-            if not isinstance(meta, dict):
-                continue
-            meta.pop("umop", None)
-            conf_list.append(ConfInfo(**meta, id=uuid_))
         conf_list.append(DEFAULT_CONFIG_CONF_INFO)
+        abconf_mapping = self.sp.get(
+            "abconf_mapping", {}, scope="global", scope_id="global"
+        )
+        for uuid_, meta in abconf_mapping.items():
+            conf_list.append(ConfInfo(**meta, id=uuid_))
         return conf_list
 
     def create_conf(
         self,
+        umo_parts: list[str] | list[MessageSession],
         config: dict = DEFAULT_CONFIG,
         name: str | None = None,
     ) -> str:
+        """
+        umo 由三个部分组成 [platform_id]:[message_type]:[session_id]。
+
+        umo_parts 可以是 "::" (代表所有), 可以是 "[platform_id]::" (代表指定平台下的所有类型消息和会话)。
+        """
         conf_uuid = str(uuid.uuid4())
         conf_file_name = f"abconf_{conf_uuid}.json"
         conf_path = os.path.join(get_astrbot_config_path(), conf_file_name)
         conf = AstrBotConfig(config_path=conf_path, default_config=config)
         conf.save_config()
-        self._save_conf_mapping(conf_file_name, conf_uuid, abconf_name=name)
+        self._save_conf_mapping(conf_file_name, conf_uuid, umo_parts, abconf_name=name)
         self.confs[conf_uuid] = conf
         return conf_uuid
 
@@ -185,17 +185,13 @@ class AstrBotConfigManager:
 
         Raises:
             ValueError: 如果试图删除默认配置文件
-
         """
         if conf_id == "default":
             raise ValueError("不能删除默认配置文件")
 
         # 从映射中移除
         abconf_data = self.sp.get(
-            "abconf_mapping",
-            {},
-            scope="global",
-            scope_id="global",
+            "abconf_mapping", {}, scope="global", scope_id="global"
         )
         if conf_id not in abconf_data:
             logger.warning(f"配置文件 {conf_id} 不存在于映射中")
@@ -203,8 +199,7 @@ class AstrBotConfigManager:
 
         # 获取配置文件路径
         conf_path = os.path.join(
-            get_astrbot_config_path(),
-            abconf_data[conf_id]["path"],
+            get_astrbot_config_path(), abconf_data[conf_id]["path"]
         )
 
         # 删除配置文件
@@ -223,30 +218,28 @@ class AstrBotConfigManager:
         # 从映射中移除
         del abconf_data[conf_id]
         self.sp.put("abconf_mapping", abconf_data, scope="global", scope_id="global")
-        self.abconf_data = abconf_data
 
         logger.info(f"成功删除配置文件 {conf_id}")
         return True
 
-    def update_conf_info(self, conf_id: str, name: str | None = None) -> bool:
+    def update_conf_info(
+        self, conf_id: str, name: str | None = None, umo_parts: list[str] | None = None
+    ) -> bool:
         """更新配置文件信息
 
         Args:
             conf_id: 配置文件的 UUID
             name: 新的配置文件名称 (可选)
+            umo_parts: 新的 UMO 部分列表 (可选)
 
         Returns:
             bool: 更新是否成功
-
         """
         if conf_id == "default":
             raise ValueError("不能更新默认配置文件的信息")
 
         abconf_data = self.sp.get(
-            "abconf_mapping",
-            {},
-            scope="global",
-            scope_id="global",
+            "abconf_mapping", {}, scope="global", scope_id="global"
         )
         if conf_id not in abconf_data:
             logger.warning(f"配置文件 {conf_id} 不存在于映射中")
@@ -256,17 +249,25 @@ class AstrBotConfigManager:
         if name is not None:
             abconf_data[conf_id]["name"] = name
 
+        # 更新 UMO 部分
+        if umo_parts is not None:
+            # 验证 UMO 部分格式
+            for part in umo_parts:
+                if isinstance(part, MessageSession):
+                    part = str(part)
+                elif not isinstance(part, str):
+                    raise ValueError(
+                        "umo_parts must be a list of strings or MessageSession instances"
+                    )
+            abconf_data[conf_id]["umop"] = umo_parts
+
         # 保存更新
         self.sp.put("abconf_mapping", abconf_data, scope="global", scope_id="global")
-        self.abconf_data = abconf_data
         logger.info(f"成功更新配置文件 {conf_id} 的信息")
         return True
 
     def g(
-        self,
-        umo: str | None = None,
-        key: str | None = None,
-        default: _VT = None,
+        self, umo: str | None = None, key: str | None = None, default: _VT = None
     ) -> _VT:
         """获取配置项。umo 为 None 时使用默认配置"""
         if umo is None:

astrbot/core/config/__init__.py

@@ -1,9 +1,9 @@
+from .default import DEFAULT_CONFIG, VERSION, DB_PATH
 from .astrbot_config import *
-from .default import DB_PATH, DEFAULT_CONFIG, VERSION
 
 __all__ = [
-    "DB_PATH",
     "DEFAULT_CONFIG",
     "VERSION",
+    "DB_PATH",
     "AstrBotConfig",
 ]

astrbot/core/config/astrbot_config.py

@@ -1,11 +1,10 @@
-import enum
+import os
 import json
 import logging
-import os
-
-from astrbot.core.utils.astrbot_path import get_astrbot_data_path
-
+import enum
 from .default import DEFAULT_CONFIG, DEFAULT_VALUE_MAP
+from typing import Dict
+from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 
 ASTRBOT_CONFIG_PATH = os.path.join(get_astrbot_data_path(), "cmd_config.json")
 logger = logging.getLogger("astrbot")
@@ -28,7 +27,7 @@ class AstrBotConfig(dict):
         self,
         config_path: str = ASTRBOT_CONFIG_PATH,
         default_config: dict = DEFAULT_CONFIG,
-        schema: dict | None = None,
+        schema: dict = None,
     ):
         super().__init__()
 
@@ -46,7 +45,7 @@ class AstrBotConfig(dict):
                 json.dump(default_config, f, indent=4, ensure_ascii=False)
                 object.__setattr__(self, "first_deploy", True)  # 标记第一次部署
 
-        with open(config_path, encoding="utf-8-sig") as f:
+        with open(config_path, "r", encoding="utf-8-sig") as f:
             conf_str = f.read()
             conf = json.loads(conf_str)
 
@@ -66,7 +65,7 @@ class AstrBotConfig(dict):
             for k, v in schema.items():
                 if v["type"] not in DEFAULT_VALUE_MAP:
                     raise TypeError(
-                        f"不受支持的配置类型 {v['type']}。支持的类型有：{DEFAULT_VALUE_MAP.keys()}",
+                        f"不受支持的配置类型 {v['type']}。支持的类型有：{DEFAULT_VALUE_MAP.keys()}"
                     )
                 if "default" in v:
                     default = v["default"]
@@ -83,7 +82,7 @@ class AstrBotConfig(dict):
 
         return conf
 
-    def check_config_integrity(self, refer_conf: dict, conf: dict, path=""):
+    def check_config_integrity(self, refer_conf: Dict, conf: Dict, path=""):
         """检查配置完整性，如果有新的配置项或顺序不一致则返回 True"""
         has_new = False
 
@@ -98,28 +97,27 @@ class AstrBotConfig(dict):
                 logger.info(f"检查到配置项 {path_} 不存在，已插入默认值 {value}")
                 new_conf[key] = value
                 has_new = True
-            elif conf[key] is None:
-                # 配置项为 None，使用默认值
-                new_conf[key] = value
-                has_new = True
-            elif isinstance(value, dict):
-                # 递归检查子配置项
-                if not isinstance(conf[key], dict):
-                    # 类型不匹配，使用默认值
+            else:
+                if conf[key] is None:
+                    # 配置项为 None，使用默认值
                     new_conf[key] = value
                     has_new = True
+                elif isinstance(value, dict):
+                    # 递归检查子配置项
+                    if not isinstance(conf[key], dict):
+                        # 类型不匹配，使用默认值
+                        new_conf[key] = value
+                        has_new = True
+                    else:
+                        # 递归检查并同步顺序
+                        child_has_new = self.check_config_integrity(
+                            value, conf[key], path + "." + key if path else key
+                        )
+                        new_conf[key] = conf[key]
+                        has_new |= child_has_new
                 else:
-                    # 递归检查并同步顺序
-                    child_has_new = self.check_config_integrity(
-                        value,
-                        conf[key],
-                        path + "." + key if path else key,
-                    )
+                    # 直接使用现有配置
                     new_conf[key] = conf[key]
-                    has_new |= child_has_new
-            else:
-                # 直接使用现有配置
-                new_conf[key] = conf[key]
 
         # 检查是否存在参考配置中没有的配置项
         for key in list(conf.keys()):
@@ -142,7 +140,7 @@ class AstrBotConfig(dict):
 
         return has_new
 
-    def save_config(self, replace_config: dict | None = None):
+    def save_config(self, replace_config: Dict = None):
         """将配置写入文件
 
         如果传入 replace_config，则将配置替换为 replace_config

astrbot/core/config/default.py

@@ -1,10 +1,12 @@
-"""如需修改配置，请在 `data/cmd_config.json` 中修改或者在管理面板中可视化修改。"""
+"""
+如需修改配置，请在 `data/cmd_config.json` 中修改或者在管理面板中可视化修改。
+"""
 
 import os
 
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 
-VERSION = "4.5.2"
+VERSION = "4.0.0"
 DB_PATH = os.path.join(get_astrbot_data_path(), "data_v4.db")
 
 # 默认配置
@@ -49,28 +51,28 @@ DEFAULT_CONFIG = {
         "enable": True,
         "default_provider_id": "",
         "default_image_caption_provider_id": "",
+        "default_summarize_provider_id": "",
+        "context_exceed_calc_method": "token_size",
+        "max_token_size": 128000,
+        "max_context_length": 100,
         "image_caption_prompt": "Please describe the image using Chinese.",
         "provider_pool": ["*"],  # "*" 表示使用所有可用的提供者
         "wake_prefix": "",
         "web_search": False,
         "websearch_provider": "default",
-        "websearch_tavily_key": [],
-        "websearch_baidu_app_builder_key": "",
+        "websearch_tavily_key": "",
         "web_search_link": False,
         "display_reasoning_text": False,
         "identifier": False,
-        "group_name_display": False,
         "datetime_system_prompt": True,
         "default_personality": "default",
         "persona_pool": ["*"],
-        "prompt_prefix": "{{prompt}}",
-        "max_context_length": -1,
+        "prompt_prefix": "",
         "dequeue_context_length": 1,
         "streaming_response": False,
         "show_tool_use_status": False,
         "streaming_segmented": False,
         "max_agent_step": 30,
-        "tool_call_timeout": 60,
     },
     "provider_stt_settings": {
         "enable": False,
@@ -104,7 +106,6 @@ DEFAULT_CONFIG = {
     "t2i_strategy": "remote",
     "t2i_endpoint": "",
     "t2i_use_file_service": False,
-    "t2i_active_template": "base",
     "http_proxy": "",
     "no_proxy": ["localhost", "127.0.0.1", "::1"],
     "dashboard": {
@@ -116,15 +117,6 @@ DEFAULT_CONFIG = {
         "port": 6185,
     },
     "platform": [],
-    "platform_specific": {
-        # 平台特异配置：按平台分类，平台下按功能分组
-        "lark": {
-            "pre_ack_emoji": {"enable": False, "emojis": ["Typing"]},
-        },
-        "telegram": {
-            "pre_ack_emoji": {"enable": False, "emojis": ["✍️"]},
-        },
-    },
     "wake_prefix": ["/"],
     "log_level": "INFO",
     "pip_install_arg": "",
@@ -132,11 +124,8 @@ DEFAULT_CONFIG = {
     "persona": [],  # deprecated
     "timezone": "Asia/Shanghai",
     "callback_api_base": "",
-    "default_kb_collection": "",  # 默认知识库名称, 已经过时
+    "default_kb_collection": "",  # 默认知识库名称
     "plugin_set": ["*"],  # "*" 表示使用所有可用的插件, 空列表表示不使用任何插件
-    "kb_names": [],  # 默认知识库名称列表
-    "kb_fusion_top_k": 20,  # 知识库检索融合阶段返回结果数量
-    "kb_final_top_k": 5,  # 知识库检索最终返回结果数量
 }
 
 
@@ -163,11 +152,10 @@ CONFIG_METADATA_2 = {
                         "enable": False,
                         "appid": "",
                         "secret": "",
-                        "is_sandbox": False,
                         "callback_server_host": "0.0.0.0",
                         "port": 6196,
                     },
-                    "QQ 个人号(OneBot v11)": {
+                    "QQ 个人号(aiocqhttp)": {
                         "id": "default",
                         "type": "aiocqhttp",
                         "enable": False,
@@ -175,7 +163,7 @@ CONFIG_METADATA_2 = {
                         "ws_reverse_port": 6199,
                         "ws_reverse_token": "",
                     },
-                    "WeChatPadPro": {
+                    "微信个人号(WeChatPadPro)": {
                         "id": "wechatpadpro",
                         "type": "wechatpadpro",
                         "enable": False,
@@ -211,18 +199,6 @@ CONFIG_METADATA_2 = {
                         "callback_server_host": "0.0.0.0",
                         "port": 6195,
                     },
-                    "企业微信智能机器人": {
-                        "id": "wecom_ai_bot",
-                        "type": "wecom_ai_bot",
-                        "enable": True,
-                        "wecomaibot_init_respond_text": "💭 思考中...",
-                        "wecomaibot_friend_message_welcome_text": "",
-                        "wecom_ai_bot_name": "",
-                        "token": "",
-                        "encoding_aes_key": "",
-                        "callback_server_host": "0.0.0.0",
-                        "port": 6198,
-                    },
                     "飞书(Lark)": {
                         "id": "lark",
                         "type": "lark",
@@ -261,24 +237,6 @@ CONFIG_METADATA_2 = {
                         "discord_guild_id_for_debug": "",
                         "discord_activity_name": "",
                     },
-                    "Misskey": {
-                        "id": "misskey",
-                        "type": "misskey",
-                        "enable": False,
-                        "misskey_instance_url": "https://misskey.example",
-                        "misskey_token": "",
-                        "misskey_default_visibility": "public",
-                        "misskey_local_only": False,
-                        "misskey_enable_chat": True,
-                        # download / security options
-                        "misskey_allow_insecure_downloads": False,
-                        "misskey_download_timeout": 15,
-                        "misskey_download_chunk_size": 65536,
-                        "misskey_max_download_bytes": None,
-                        "misskey_enable_file_upload": True,
-                        "misskey_upload_concurrency": 3,
-                        "misskey_upload_folder": "",
-                    },
                     "Slack": {
                         "id": "slack",
                         "type": "slack",
@@ -291,71 +249,8 @@ CONFIG_METADATA_2 = {
                         "slack_webhook_port": 6197,
                         "slack_webhook_path": "/astrbot-slack-webhook/callback",
                     },
-                    "Satori": {
-                        "id": "satori",
-                        "type": "satori",
-                        "enable": False,
-                        "satori_api_base_url": "http://localhost:5140/satori/v1",
-                        "satori_endpoint": "ws://localhost:5140/satori/v1/events",
-                        "satori_token": "",
-                        "satori_auto_reconnect": True,
-                        "satori_heartbeat_interval": 10,
-                        "satori_reconnect_delay": 5,
-                    },
-                    # "WebChat": {
-                    #     "id": "webchat",
-                    #     "type": "webchat",
-                    #     "enable": False,
-                    #     "webchat_link_path": "",
-                    #     "webchat_present_type": "fullscreen",
-                    # },
                 },
                 "items": {
-                    # "webchat_link_path": {
-                    #     "description": "链接路径",
-                    #     "_special": "webchat_link_path",
-                    #     "type": "string",
-                    # },
-                    # "webchat_present_type": {
-                    #     "_special": "webchat_present_type",
-                    #     "description": "展现形式",
-                    #     "type": "string",
-                    #     "options": ["fullscreen", "embedded"],
-                    # },
-                    "is_sandbox": {
-                        "description": "沙箱模式",
-                        "type": "bool",
-                    },
-                    "satori_api_base_url": {
-                        "description": "Satori API 终结点",
-                        "type": "string",
-                        "hint": "Satori API 的基础地址。",
-                    },
-                    "satori_endpoint": {
-                        "description": "Satori WebSocket 终结点",
-                        "type": "string",
-                        "hint": "Satori 事件的 WebSocket 端点。",
-                    },
-                    "satori_token": {
-                        "description": "Satori 令牌",
-                        "type": "string",
-                        "hint": "用于 Satori API 身份验证的令牌。",
-                    },
-                    "satori_auto_reconnect": {
-                        "description": "启用自动重连",
-                        "type": "bool",
-                        "hint": "断开连接时是否自动重新连接 WebSocket。",
-                    },
-                    "satori_heartbeat_interval": {
-                        "description": "Satori 心跳间隔",
-                        "type": "int",
-                        "hint": "发送心跳消息的间隔（秒）。",
-                    },
-                    "satori_reconnect_delay": {
-                        "description": "Satori 重连延迟",
-                        "type": "int",
-                        "hint": "尝试重新连接前的延迟时间（秒）。",
-                    },
                     "slack_connection_mode": {
                         "description": "Slack Connection Mode",
                         "type": "string",
@@ -402,67 +297,6 @@ CONFIG_METADATA_2 = {
                         "type": "string",
                         "hint": "如果你的网络环境为中国大陆，请在 `其他配置` 处设置代理或更改 api_base。",
                     },
-                    "misskey_instance_url": {
-                        "description": "Misskey 实例 URL",
-                        "type": "string",
-                        "hint": "例如 https://misskey.example，填写 Bot 账号所在的 Misskey 实例地址",
-                    },
-                    "misskey_token": {
-                        "description": "Misskey Access Token",
-                        "type": "string",
-                        "hint": "连接服务设置生成的 API 鉴权访问令牌（Access token）",
-                    },
-                    "misskey_default_visibility": {
-                        "description": "默认帖子可见性",
-                        "type": "string",
-                        "options": ["public", "home", "followers"],
-                        "hint": "机器人发帖时的默认可见性设置。public：公开，home：主页时间线，followers：仅关注者。",
-                    },
-                    "misskey_local_only": {
-                        "description": "仅限本站（不参与联合）",
-                        "type": "bool",
-                        "hint": "启用后，机器人发出的帖子将仅在本实例可见，不会联合到其他实例",
-                    },
-                    "misskey_enable_chat": {
-                        "description": "启用聊天消息响应",
-                        "type": "bool",
-                        "hint": "启用后，机器人将会监听和响应私信聊天消息",
-                    },
-                    "misskey_enable_file_upload": {
-                        "description": "启用文件上传到 Misskey",
-                        "type": "bool",
-                        "hint": "启用后，适配器会尝试将消息链中的文件上传到 Misskey。URL 文件会先尝试服务器端上传，异步上传失败时会回退到下载后本地上传。",
-                    },
-                    "misskey_allow_insecure_downloads": {
-                        "description": "允许不安全下载（禁用 SSL 验证）",
-                        "type": "bool",
-                        "hint": "当远端服务器存在证书问题导致无法正常下载时，自动禁用 SSL 验证作为回退方案。适用于某些图床的证书配置问题。启用有安全风险，仅在必要时使用。",
-                    },
-                    "misskey_download_timeout": {
-                        "description": "远端下载超时时间（秒）",
-                        "type": "int",
-                        "hint": "下载远程文件时的超时时间（秒），用于异步上传回退到本地上传的场景。",
-                    },
-                    "misskey_download_chunk_size": {
-                        "description": "流式下载分块大小（字节）",
-                        "type": "int",
-                        "hint": "流式下载和计算 MD5 时使用的每次读取字节数，过小会增加开销，过大会占用内存。",
-                    },
-                    "misskey_max_download_bytes": {
-                        "description": "最大允许下载字节数（超出则中止）",
-                        "type": "int",
-                        "hint": "如果希望限制下载文件的最大大小以防止 OOM，请填写最大字节数；留空或 null 表示不限制。",
-                    },
-                    "misskey_upload_concurrency": {
-                        "description": "并发上传限制",
-                        "type": "int",
-                        "hint": "同时进行的文件上传任务上限（整数，默认 3）。",
-                    },
-                    "misskey_upload_folder": {
-                        "description": "上传到网盘的目标文件夹 ID",
-                        "type": "string",
-                        "hint": "可选：填写 Misskey 网盘中目标文件夹的 ID，上传的文件将放置到该文件夹内。留空则使用账号网盘根目录。",
-                    },
                     "telegram_command_register": {
                         "description": "Telegram 命令注册",
                         "type": "bool",
@@ -514,38 +348,24 @@ CONFIG_METADATA_2 = {
                         "hint": "启用后，机器人可以接收到频道的私聊消息。",
                     },
                     "ws_reverse_host": {
-                        "description": "反向 Websocket 主机",
+                        "description": "反向 Websocket 主机地址(AstrBot 为服务器端)",
                         "type": "string",
-                        "hint": "AstrBot 将作为服务器端。",
+                        "hint": "aiocqhttp 适配器的反向 Websocket 服务器 IP 地址，不包含端口号。",
                     },
                     "ws_reverse_port": {
                         "description": "反向 Websocket 端口",
                         "type": "int",
+                        "hint": "aiocqhttp 适配器的反向 Websocket 端口。",
                     },
                     "ws_reverse_token": {
                         "description": "反向 Websocket Token",
                         "type": "string",
-                        "hint": "反向 Websocket Token。未设置则不启用 Token 验证。",
-                    },
-                    "wecom_ai_bot_name": {
-                        "description": "企业微信智能机器人的名字",
-                        "type": "string",
-                        "hint": "请务必填写正确，否则无法使用一些指令。",
-                    },
-                    "wecomaibot_init_respond_text": {
-                        "description": "企业微信智能机器人初始响应文本",
-                        "type": "string",
-                        "hint": "当机器人收到消息时，首先回复的文本内容。留空则使用默认值。",
-                    },
-                    "wecomaibot_friend_message_welcome_text": {
-                        "description": "企业微信智能机器人私聊欢迎语",
-                        "type": "string",
-                        "hint": "当用户当天进入智能机器人单聊会话，回复欢迎语，留空则不回复。",
+                        "hint": "aiocqhttp 适配器的反向 Websocket Token。未设置则不启用 Token 验证。",
                     },
                     "lark_bot_name": {
                         "description": "飞书机器人的名字",
                         "type": "string",
-                        "hint": "请务必填写正确，否则 @ 机器人将无法唤醒，只能通过前缀唤醒。",
+                        "hint": "请务必填对，否则 @ 机器人将无法唤醒，只能通过前缀唤醒。",
                     },
                     "discord_token": {
                         "description": "Discord Bot Token",
@@ -740,7 +560,6 @@ CONFIG_METADATA_2 = {
                         "api_base": "https://api.openai.com/v1",
                         "timeout": 120,
                         "model_config": {"model": "gpt-4o-mini", "temperature": 0.4},
-                        "custom_extra_body": {},
                         "modalities": ["text", "image", "tool_use"],
                         "hint": "也兼容所有与 OpenAI API 兼容的服务。",
                     },
@@ -755,7 +574,6 @@ CONFIG_METADATA_2 = {
                         "api_base": "",
                         "timeout": 120,
                         "model_config": {"model": "gpt-4o-mini", "temperature": 0.4},
-                        "custom_extra_body": {},
                         "modalities": ["text", "image", "tool_use"],
                     },
                     "xAI": {
@@ -768,8 +586,6 @@ CONFIG_METADATA_2 = {
                         "api_base": "https://api.x.ai/v1",
                         "timeout": 120,
                         "model_config": {"model": "grok-2-latest", "temperature": 0.4},
-                        "custom_extra_body": {},
-                        "xai_native_search": False,
                         "modalities": ["text", "image", "tool_use"],
                     },
                     "Anthropic": {
@@ -799,7 +615,6 @@ CONFIG_METADATA_2 = {
                         "key": ["ollama"],  # ollama 的 key 默认是 ollama
                         "api_base": "http://localhost:11434/v1",
                         "model_config": {"model": "llama3.1-8b", "temperature": 0.4},
-                        "custom_extra_body": {},
                         "modalities": ["text", "image", "tool_use"],
                     },
                     "LM Studio": {
@@ -813,7 +628,6 @@ CONFIG_METADATA_2 = {
                         "model_config": {
                             "model": "llama-3.1-8b",
                         },
-                        "custom_extra_body": {},
                         "modalities": ["text", "image", "tool_use"],
                     },
                     "Gemini(OpenAI兼容)": {
@@ -829,7 +643,6 @@ CONFIG_METADATA_2 = {
                             "model": "gemini-1.5-flash",
                             "temperature": 0.4,
                         },
-                        "custom_extra_body": {},
                         "modalities": ["text", "image", "tool_use"],
                     },
                     "Gemini": {
@@ -870,8 +683,7 @@ CONFIG_METADATA_2 = {
                         "api_base": "https://api.deepseek.com/v1",
                         "timeout": 120,
                         "model_config": {"model": "deepseek-chat", "temperature": 0.4},
-                        "custom_extra_body": {},
-                        "modalities": ["text", "tool_use"],
+                        "modalities": ["text", "image", "tool_use"],
                     },
                     "302.AI": {
                         "id": "302ai",
@@ -883,7 +695,6 @@ CONFIG_METADATA_2 = {
                         "api_base": "https://api.302.ai/v1",
                         "timeout": 120,
                         "model_config": {"model": "gpt-4.1-mini", "temperature": 0.4},
-                        "custom_extra_body": {},
                         "modalities": ["text", "image", "tool_use"],
                     },
                     "硅基流动": {
@@ -899,7 +710,6 @@ CONFIG_METADATA_2 = {
                             "model": "deepseek-ai/DeepSeek-V3",
                             "temperature": 0.4,
                         },
-                        "custom_extra_body": {},
                         "modalities": ["text", "image", "tool_use"],
                     },
                     "PPIO派欧云": {
@@ -915,22 +725,6 @@ CONFIG_METADATA_2 = {
                             "model": "deepseek/deepseek-r1",
                             "temperature": 0.4,
                         },
-                        "custom_extra_body": {},
-                    },
-                    "小马算力": {
-                        "id": "tokenpony",
-                        "provider": "tokenpony",
-                        "type": "openai_chat_completion",
-                        "provider_type": "chat_completion",
-                        "enable": True,
-                        "key": [],
-                        "api_base": "https://api.tokenpony.cn/v1",
-                        "timeout": 120,
-                        "model_config": {
-                            "model": "kimi-k2-instruct-0905",
-                            "temperature": 0.7,
-                        },
-                        "custom_extra_body": {},
                     },
                     "优云智算": {
                         "id": "compshare",
@@ -944,7 +738,6 @@ CONFIG_METADATA_2 = {
                         "model_config": {
                             "model": "moonshotai/Kimi-K2-Instruct",
                         },
-                        "custom_extra_body": {},
                         "modalities": ["text", "image", "tool_use"],
                     },
                     "Kimi": {
@@ -957,7 +750,6 @@ CONFIG_METADATA_2 = {
                         "timeout": 120,
                         "api_base": "https://api.moonshot.cn/v1",
                         "model_config": {"model": "moonshot-v1-8k", "temperature": 0.4},
-                        "custom_extra_body": {},
                         "modalities": ["text", "image", "tool_use"],
                     },
                     "智谱 AI": {
@@ -989,18 +781,6 @@ CONFIG_METADATA_2 = {
                         "timeout": 60,
                         "hint": "请确保你在 AstrBot 里设置的 APP 类型和 Dify 里面创建的应用的类型一致！",
                     },
-                    "Coze": {
-                        "id": "coze",
-                        "provider": "coze",
-                        "provider_type": "chat_completion",
-                        "type": "coze",
-                        "enable": True,
-                        "coze_api_key": "",
-                        "bot_id": "",
-                        "coze_api_base": "https://api.coze.cn",
-                        "timeout": 60,
-                        "auto_save_history": True,
-                    },
                     "阿里云百炼应用": {
                         "id": "dashscope",
                         "provider": "dashscope",
@@ -1028,7 +808,6 @@ CONFIG_METADATA_2 = {
                         "timeout": 120,
                         "api_base": "https://api-inference.modelscope.cn/v1",
                         "model_config": {"model": "Qwen/Qwen3-32B", "temperature": 0.4},
-                        "custom_extra_body": {},
                         "modalities": ["text", "image", "tool_use"],
                     },
                     "FastGPT": {
@@ -1040,7 +819,6 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "api_base": "https://api.fastgpt.in/api/v1",
                         "timeout": 60,
-                        "custom_extra_body": {},
                     },
                     "Whisper(API)": {
                         "id": "whisper",
@@ -1091,9 +869,6 @@ CONFIG_METADATA_2 = {
                         "provider_type": "text_to_speech",
                         "enable": False,
                         "edge-tts-voice": "zh-CN-XiaoxiaoNeural",
-                        "rate": "+0%",
-                        "volume": "+0%",
-                        "pitch": "+0Hz",
                         "timeout": 20,
                     },
                     "GSV TTS(本地加载)": {
@@ -1152,7 +927,6 @@ CONFIG_METADATA_2 = {
                         "timeout": "20",
                     },
                     "阿里云百炼 TTS(API)": {
-                        "hint": "API Key 从 https://bailian.console.aliyun.com/?tab=model#/api-key 获取。模型和音色的选择文档请参考: 阿里云百炼语音合成音色名称。具体可参考 https://help.aliyun.com/zh/model-studio/speech-synthesis-and-speech-recognition",
                         "id": "dashscope_tts",
                         "provider": "dashscope",
                         "type": "dashscope_tts",
@@ -1261,38 +1035,8 @@ CONFIG_METADATA_2 = {
                         "rerank_model": "BAAI/bge-reranker-base",
                         "timeout": 20,
                     },
-                    "Xinference Rerank": {
-                        "id": "xinference_rerank",
-                        "type": "xinference_rerank",
-                        "provider": "xinference",
-                        "provider_type": "rerank",
-                        "enable": True,
-                        "rerank_api_key": "",
-                        "rerank_api_base": "http://127.0.0.1:9997",
-                        "rerank_model": "BAAI/bge-reranker-base",
-                        "timeout": 20,
-                        "launch_model_if_not_running": False,
-                    },
-                    "Xinference STT": {
-                        "id": "xinference_stt",
-                        "type": "xinference_stt",
-                        "provider": "xinference",
-                        "provider_type": "speech_to_text",
-                        "enable": False,
-                        "api_key": "",
-                        "api_base": "http://127.0.0.1:9997",
-                        "model": "whisper-large-v3",
-                        "timeout": 180,
-                        "launch_model_if_not_running": False,
-                    },
                 },
                 "items": {
-                    "xai_native_search": {
-                        "description": "启用原生搜索功能",
-                        "type": "bool",
-                        "hint": "启用后，将通过 xAI 的 Chat Completions 原生 Live Search 进行联网检索（按需计费）。仅对 xAI 提供商生效。",
-                        "condition": {"provider": "xai"},
-                    },
                     "rerank_api_base": {
                         "description": "重排序模型 API Base URL",
                         "type": "string",
@@ -1307,11 +1051,6 @@ CONFIG_METADATA_2 = {
                         "description": "重排序模型名称",
                         "type": "string",
                     },
-                    "launch_model_if_not_running": {
-                        "description": "模型未运行时自动启动",
-                        "type": "bool",
-                        "hint": "如果模型当前未在 Xinference 服务中运行，是否尝试自动启动它。在生产环境中建议关闭。",
-                    },
                     "modalities": {
                         "description": "模型能力",
                         "type": "list",
@@ -1321,12 +1060,6 @@ CONFIG_METADATA_2 = {
                         "render_type": "checkbox",
                         "hint": "模型支持的模态。如所填写的模型不支持图像，请取消勾选图像。",
                     },
-                    "custom_extra_body": {
-                        "description": "自定义请求体参数",
-                        "type": "dict",
-                        "items": {},
-                        "hint": "此处添加的键值对将被合并到发送给 API 的 extra_body 中。值可以是字符串、数字或布尔值。",
-                    },
                     "provider": {
                         "type": "string",
                         "invisible": True,
@@ -1455,7 +1188,6 @@ CONFIG_METADATA_2 = {
                         "description": "嵌入维度",
                         "type": "int",
                         "hint": "嵌入向量的维度。根据模型不同，可能需要调整，请参考具体模型的文档。此配置项请务必填写正确，否则将导致向量数据库无法正常工作。",
-                        "_special": "get_embedding_dim",
                     },
                     "embedding_model": {
                         "description": "嵌入模型",
@@ -1568,7 +1300,11 @@ CONFIG_METADATA_2 = {
                         "description": "服务订阅密钥",
                         "hint": "Azure_TTS 服务的订阅密钥（注意不是令牌）",
                     },
-                    "dashscope_tts_voice": {"description": "音色", "type": "string"},
+                    "dashscope_tts_voice": {
+                        "description": "语音合成模型",
+                        "type": "string",
+                        "hint": "阿里云百炼语音合成模型名称。具体可参考 https://help.aliyun.com/zh/model-studio/developer-reference/cosyvoice-python-api 等内容",
+                    },
                     "gm_resp_image_modal": {
                         "description": "启用图片模态",
                         "type": "bool",
@@ -1900,26 +1636,6 @@ CONFIG_METADATA_2 = {
                         "hint": "发送的消息文本内容对应的输入变量名。默认为 astrbot_text_query。",
                         "obvious": True,
                     },
-                    "coze_api_key": {
-                        "description": "Coze API Key",
-                        "type": "string",
-                        "hint": "Coze API 密钥，用于访问 Coze 服务。",
-                    },
-                    "bot_id": {
-                        "description": "Bot ID",
-                        "type": "string",
-                        "hint": "Coze 机器人的 ID，在 Coze 平台上创建机器人后获得。",
-                    },
-                    "coze_api_base": {
-                        "description": "API Base URL",
-                        "type": "string",
-                        "hint": "Coze API 的基础 URL 地址，默认为 https://api.coze.cn",
-                    },
-                    "auto_save_history": {
-                        "description": "由 Coze 管理对话记录",
-                        "type": "bool",
-                        "hint": "启用后，将由 Coze 进行对话历史记录管理, 此时 AstrBot 本地保存的上下文不会生效(仅供浏览), 对 AstrBot 的上下文进行的操作也不会生效。如果为禁用, 则使用 AstrBot 管理上下文。",
-                    },
                 },
             },
             "provider_settings": {
@@ -1946,9 +1662,6 @@ CONFIG_METADATA_2 = {
                     "identifier": {
                         "type": "bool",
                     },
-                    "group_name_display": {
-                        "type": "bool",
-                    },
                     "datetime_system_prompt": {
                         "type": "bool",
                     },
@@ -1977,10 +1690,6 @@ CONFIG_METADATA_2 = {
                         "description": "工具调用轮数上限",
                         "type": "int",
                     },
-                    "tool_call_timeout": {
-                        "description": "工具调用超时时间（秒）",
-                        "type": "int",
-                    },
                 },
             },
             "provider_stt_settings": {
@@ -2103,9 +1812,6 @@ CONFIG_METADATA_2 = {
             "default_kb_collection": {
                 "type": "string",
             },
-            "kb_names": {"type": "list", "items": {"type": "string"}},
-            "kb_fusion_top_k": {"type": "int", "default": 20},
-            "kb_final_top_k": {"type": "int", "default": 5},
         },
     },
 }
@@ -2129,39 +1835,51 @@ CONFIG_METADATA_3 = {
                         "_special": "select_provider",
                         "hint": "留空时使用第一个模型。",
                     },
+                    "provider_settings.default_summarize_provider_id": {
+                        "description": "默认对话总结模型",
+                        "type": "string",
+                        "_special": "select_provider",
+                        "hint": "留空代表不进行对话总结。可用于压缩上下文以减少 token 用量，并一定程度上保持历史聊天记忆。",
+                    },
                     "provider_settings.default_image_caption_provider_id": {
                         "description": "默认图片转述模型",
                         "type": "string",
                         "_special": "select_provider",
                         "hint": "留空代表不使用。可用于不支持视觉模态的聊天模型。",
                     },
-                    "provider_stt_settings.enable": {
-                        "description": "启用语音转文本",
-                        "type": "bool",
-                        "hint": "STT 总开关。",
-                    },
                     "provider_stt_settings.provider_id": {
-                        "description": "默认语音转文本模型",
+                        "description": "语音转文本模型",
                         "type": "string",
-                        "hint": "用户也可使用 /provider 指令单独选择会话的 STT 模型。",
+                        "hint": "留空代表不使用。",
                         "_special": "select_provider_stt",
-                        "condition": {
-                            "provider_stt_settings.enable": True,
-                        },
-                    },
-                    "provider_tts_settings.enable": {
-                        "description": "启用文本转语音",
-                        "type": "bool",
-                        "hint": "TTS 总开关。当关闭时，会话启用 TTS 也不会生效。",
                     },
                     "provider_tts_settings.provider_id": {
-                        "description": "默认文本转语音模型",
+                        "description": "文本转语音模型",
                         "type": "string",
-                        "hint": "用户也可使用 /provider 单独选择会话的 TTS 模型。",
+                        "hint": "留空代表不使用。",
                         "_special": "select_provider_tts",
+                    },
+                    "provider_settings.context_exceed_calc_method": {
+                        "description": "上下文超限的触发策略",
+                        "type": "string",
+                        "options": ["token_size", "context_length"],
+                        "labels": ["基于 Token 长度(估算)", "基于对话轮数"],
+                        "hint": "如配置了对话总结模型，则触发时总结对话内容，否则丢弃最旧部分。"
+                    },
+                    "provider_settings.max_context_length": {
+                        "description": "对话轮数上限",
+                        "type": "int",
                         "condition": {
-                            "provider_tts_settings.enable": True,
-                        },
+                            "provider_settings.context_exceed_calc_method": "context_length"
+                        }
+                    },
+                    "provider_settings.max_token_size": {
+                        "description": "Token 长度上限(估算)",
+                        "type": "int",
+                        "hint": "超出这个数量时丢弃最旧的部分。",
+                        "condition": {
+                            "provider_settings.context_exceed_calc_method": "token_size"
+                        }
                     },
                     "provider_settings.image_caption_prompt": {
                         "description": "图片转述提示词",
@@ -2184,22 +1902,10 @@ CONFIG_METADATA_3 = {
                 "description": "知识库",
                 "type": "object",
                 "items": {
-                    "kb_names": {
-                        "description": "知识库列表",
-                        "type": "list",
-                        "items": {"type": "string"},
+                    "default_kb_collection": {
+                        "description": "默认使用的知识库",
+                        "type": "string",
                         "_special": "select_knowledgebase",
-                        "hint": "支持多选",
-                    },
-                    "kb_fusion_top_k": {
-                        "description": "融合检索结果数",
-                        "type": "int",
-                        "hint": "多个知识库检索结果融合后的返回结果数量",
-                    },
-                    "kb_final_top_k": {
-                        "description": "最终返回结果数",
-                        "type": "int",
-                        "hint": "从知识库中检索到的结果数量，越大可能获得越多相关信息，但也可能引入噪音。建议根据实际需求调整",
                     },
                 },
             },
@@ -2214,25 +1920,15 @@ CONFIG_METADATA_3 = {
                     "provider_settings.websearch_provider": {
                         "description": "网页搜索提供商",
                         "type": "string",
-                        "options": ["default", "tavily", "baidu_ai_search"],
+                        "options": ["default", "tavily"],
                     },
                     "provider_settings.websearch_tavily_key": {
                         "description": "Tavily API Key",
-                        "type": "list",
-                        "items": {"type": "string"},
-                        "hint": "可添加多个 Key 进行轮询。",
+                        "type": "string",
                         "condition": {
                             "provider_settings.websearch_provider": "tavily",
                         },
                     },
-                    "provider_settings.websearch_baidu_app_builder_key": {
-                        "description": "百度千帆智能云 APP Builder API Key",
-                        "type": "string",
-                        "hint": "参考：https://console.bce.baidu.com/iam/#/iam/apikey/list",
-                        "condition": {
-                            "provider_settings.websearch_provider": "baidu_ai_search",
-                        },
-                    },
                     "provider_settings.web_search_link": {
                         "description": "显示来源引用",
                         "type": "bool",
@@ -2248,14 +1944,9 @@ CONFIG_METADATA_3 = {
                         "type": "bool",
                     },
                     "provider_settings.identifier": {
-                        "description": "用户识别",
+                        "description": "用户感知",
                         "type": "bool",
                     },
-                    "provider_settings.group_name_display": {
-                        "description": "显示群名称",
-                        "type": "bool",
-                        "hint": "启用后，在支持的平台(aiocqhttp)上会在 prompt 中包含群名称信息。",
-                    },
                     "provider_settings.datetime_system_prompt": {
                         "description": "现实世界时间感知",
                         "type": "bool",
@@ -2268,10 +1959,6 @@ CONFIG_METADATA_3 = {
                         "description": "工具调用轮数上限",
                         "type": "int",
                     },
-                    "provider_settings.tool_call_timeout": {
-                        "description": "工具调用超时时间（秒）",
-                        "type": "int",
-                    },
                     "provider_settings.streaming_response": {
                         "description": "流式回复",
                         "type": "bool",
@@ -2280,11 +1967,6 @@ CONFIG_METADATA_3 = {
                         "description": "不支持流式回复的平台采取分段输出",
                         "type": "bool",
                     },
-                    "provider_settings.max_context_length": {
-                        "description": "最多携带对话轮数",
-                        "type": "int",
-                        "hint": "超出这个数量时丢弃最旧的部分，一轮聊天记为 1 条。-1 为不限制。",
-                    },
                     "provider_settings.dequeue_context_length": {
                         "description": "丢弃对话轮数",
                         "type": "int",
@@ -2293,14 +1975,12 @@ CONFIG_METADATA_3 = {
                     "provider_settings.wake_prefix": {
                         "description": "LLM 聊天额外唤醒前缀 ",
                         "type": "string",
-                        "hint": "如果唤醒前缀为 `/`, 额外聊天唤醒前缀为 `chat`，则需要 `/chat` 才会触发 LLM 请求。默认为空。",
                     },
                     "provider_settings.prompt_prefix": {
-                        "description": "用户提示词",
+                        "description": "额外前缀提示词",
                         "type": "string",
-                        "hint": "可使用 {{prompt}} 作为用户输入的占位符。如果不输入占位符则代表添加在用户输入的前面。",
                     },
-                    "provider_tts_settings.dual_output": {
+                    "provider_settings.dual_output": {
                         "description": "开启 TTS 时同时输出语音和文字内容",
                         "type": "bool",
                     },
@@ -2409,41 +2089,41 @@ CONFIG_METADATA_3 = {
                 "description": "内容安全",
                 "type": "object",
                 "items": {
-                    "content_safety.also_use_in_response": {
+                    "platform_settings.content_safety.also_use_in_response": {
                         "description": "同时检查模型的响应内容",
                         "type": "bool",
                     },
-                    "content_safety.baidu_aip.enable": {
+                    "platform_settings.content_safety.baidu_aip.enable": {
                         "description": "使用百度内容安全审核",
                         "type": "bool",
                         "hint": "您需要手动安装 baidu-aip 库。",
                     },
-                    "content_safety.baidu_aip.app_id": {
+                    "platform_settings.content_safety.baidu_aip.app_id": {
                         "description": "App ID",
                         "type": "string",
                         "condition": {
-                            "content_safety.baidu_aip.enable": True,
+                            "platform_settings.content_safety.baidu_aip.enable": True,
                         },
                     },
-                    "content_safety.baidu_aip.api_key": {
+                    "platform_settings.content_safety.baidu_aip.api_key": {
                         "description": "API Key",
                         "type": "string",
                         "condition": {
-                            "content_safety.baidu_aip.enable": True,
+                            "platform_settings.content_safety.baidu_aip.enable": True,
                         },
                     },
-                    "content_safety.baidu_aip.secret_key": {
+                    "platform_settings.content_safety.baidu_aip.secret_key": {
                         "description": "Secret Key",
                         "type": "string",
                         "condition": {
-                            "content_safety.baidu_aip.enable": True,
+                            "platform_settings.content_safety.baidu_aip.enable": True,
                         },
                     },
-                    "content_safety.internal_keywords.enable": {
+                    "platform_settings.content_safety.internal_keywords.enable": {
                         "description": "关键词检查",
                         "type": "bool",
                     },
-                    "content_safety.internal_keywords.extra_keywords": {
+                    "platform_settings.content_safety.internal_keywords.extra_keywords": {
                         "description": "额外关键词",
                         "type": "list",
                         "items": {"type": "string"},
@@ -2481,32 +2161,6 @@ CONFIG_METADATA_3 = {
                         "description": "用户权限不足时是否回复",
                         "type": "bool",
                     },
-                    "platform_specific.lark.pre_ack_emoji.enable": {
-                        "description": "[飞书] 启用预回应表情",
-                        "type": "bool",
-                    },
-                    "platform_specific.lark.pre_ack_emoji.emojis": {
-                        "description": "表情列表（飞书表情枚举名）",
-                        "type": "list",
-                        "items": {"type": "string"},
-                        "hint": "表情枚举名参考：https://open.feishu.cn/document/server-docs/im-v1/message-reaction/emojis-introduce",
-                        "condition": {
-                            "platform_specific.lark.pre_ack_emoji.enable": True,
-                        },
-                    },
-                    "platform_specific.telegram.pre_ack_emoji.enable": {
-                        "description": "[Telegram] 启用预回应表情",
-                        "type": "bool",
-                    },
-                    "platform_specific.telegram.pre_ack_emoji.emojis": {
-                        "description": "表情列表（Unicode）",
-                        "type": "list",
-                        "items": {"type": "string"},
-                        "hint": "Telegram 仅支持固定反应集合，参考：https://gist.github.com/Soulter/3f22c8e5f9c7e152e967e8bc28c97fc9",
-                        "condition": {
-                            "platform_specific.telegram.pre_ack_emoji.enable": True,
-                        },
-                    },
                 },
             },
         },
@@ -2660,13 +2314,7 @@ CONFIG_METADATA_3_SYSTEM = {
                         "condition": {
                             "t2i_strategy": "remote",
                         },
-                        "_special": "t2i_template",
-                    },
-                    "t2i_active_template": {
-                        "description": "当前应用的文转图渲染模板",
-                        "type": "string",
-                        "hint": "此处的值由文转图模板管理页面进行维护。",
-                        "invisible": True,
+                        "_special": "t2i_template"
                     },
                     "log_level": {
                         "description": "控制台日志级别",
@@ -2699,15 +2347,10 @@ CONFIG_METADATA_3_SYSTEM = {
                         "type": "string",
                         "hint": "启用后，会以添加环境变量的方式设置代理。格式为 `http://ip:port`",
                     },
-                    "no_proxy": {
-                        "description": "直连地址列表",
-                        "type": "list",
-                        "items": {"type": "string"},
-                    },
                 },
-            },
+            }
         },
-    },
+    }
 }
 
 

astrbot/core/conversation_mgr.py

@@ -1,14 +1,13 @@
-"""AstrBot 会话-对话管理器, 维护两个本地存储, 其中一个是 json 格式的shared_preferences, 另外一个是数据库.
+"""
+AstrBot 会话-对话管理器, 维护两个本地存储, 其中一个是 json 格式的shared_preferences, 另外一个是数据库
 
 在 AstrBot 中, 会话和对话是独立的, 会话用于标记对话窗口, 例如群聊"123456789"可以建立一个会话,
 在一个会话中可以建立多个对话, 并且支持对话的切换和删除
 """
 
 import json
-from collections.abc import Awaitable, Callable
-
 from astrbot.core import sp
-from astrbot.core.agent.message import AssistantMessageSegment, UserMessageSegment
+from typing import Dict, List
 from astrbot.core.db import BaseDatabase
 from astrbot.core.db.po import Conversation, ConversationV2
 
@@ -17,45 +16,10 @@ class ConversationManager:
     """负责管理会话与 LLM 的对话，某个会话当前正在用哪个对话。"""
 
     def __init__(self, db_helper: BaseDatabase):
-        self.session_conversations: dict[str, str] = {}
+        self.session_conversations: Dict[str, str] = {}
         self.db = db_helper
         self.save_interval = 60  # 每 60 秒保存一次
 
-        # 会话删除回调函数列表（用于级联清理，如知识库配置）
-        self._on_session_deleted_callbacks: list[Callable[[str], Awaitable[None]]] = []
-
-    def register_on_session_deleted(
-        self,
-        callback: Callable[[str], Awaitable[None]],
-    ) -> None:
-        """注册会话删除回调函数.
-
-        其他模块可以注册回调来响应会话删除事件，实现级联清理。
-        例如：知识库模块可以注册回调来清理会话的知识库配置。
-
-        Args:
-            callback: 回调函数，接收会话ID (unified_msg_origin) 作为参数
-
-        """
-        self._on_session_deleted_callbacks.append(callback)
-
-    async def _trigger_session_deleted(self, unified_msg_origin: str) -> None:
-        """触发会话删除回调.
-
-        Args:
-            unified_msg_origin: 会话ID
-
-        """
-        for callback in self._on_session_deleted_callbacks:
-            try:
-                await callback(unified_msg_origin)
-            except Exception as e:
-                from astrbot.core import logger
-
-                logger.error(
-                    f"会话删除回调执行失败 (session: {unified_msg_origin}): {e}",
-                )
-
     def _convert_conv_from_v2_to_v1(self, conv_v2: ConversationV2) -> Conversation:
         """将 ConversationV2 对象转换为 Conversation 对象"""
         created_at = int(conv_v2.created_at.timestamp())
@@ -79,13 +43,12 @@ class ConversationManager:
         title: str | None = None,
         persona_id: str | None = None,
     ) -> str:
-        """新建对话，并将当前会话的对话转移到新对话.
+        """新建对话，并将当前会话的对话转移到新对话
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
         Returns:
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
-
         """
         if not platform_id:
             # 如果没有提供 platform_id，则从 unified_msg_origin 中解析
@@ -111,46 +74,30 @@ class ConversationManager:
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
-
         """
         self.session_conversations[unified_msg_origin] = conversation_id
         await sp.session_put(unified_msg_origin, "sel_conv_id", conversation_id)
 
     async def delete_conversation(
-        self,
-        unified_msg_origin: str,
-        conversation_id: str | None = None,
+        self, unified_msg_origin: str, conversation_id: str | None = None
     ):
         """删除会话的对话，当 conversation_id 为 None 时删除会话当前的对话
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
-
         """
+        f = False
         if not conversation_id:
             conversation_id = self.session_conversations.get(unified_msg_origin)
+            if conversation_id:
+                f = True
         if conversation_id:
             await self.db.delete_conversation(cid=conversation_id)
-            curr_cid = await self.get_curr_conversation_id(unified_msg_origin)
-            if curr_cid == conversation_id:
+            if f:
                 self.session_conversations.pop(unified_msg_origin, None)
                 await sp.session_remove(unified_msg_origin, "sel_conv_id")
 
-    async def delete_conversations_by_user_id(self, unified_msg_origin: str):
-        """删除会话的所有对话
-
-        Args:
-            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
-
-        """
-        await self.db.delete_conversations_by_user_id(user_id=unified_msg_origin)
-        self.session_conversations.pop(unified_msg_origin, None)
-        await sp.session_remove(unified_msg_origin, "sel_conv_id")
-
-        # 触发会话删除回调（级联清理）
-        await self._trigger_session_deleted(unified_msg_origin)
-
     async def get_curr_conversation_id(self, unified_msg_origin: str) -> str | None:
         """获取会话当前的对话 ID
 
@@ -158,7 +105,6 @@ class ConversationManager:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
         Returns:
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
-
         """
         ret = self.session_conversations.get(unified_msg_origin, None)
         if not ret:
@@ -173,15 +119,13 @@ class ConversationManager:
         conversation_id: str,
         create_if_not_exists: bool = False,
     ) -> Conversation | None:
-        """获取会话的对话.
+        """获取会话的对话
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
-            create_if_not_exists (bool): 如果对话不存在,是否创建一个新的对话
         Returns:
             conversation (Conversation): 对话对象
-
         """
         conv = await self.db.get_conversation_by_id(cid=conversation_id)
         if not conv and create_if_not_exists:
@@ -194,22 +138,18 @@ class ConversationManager:
         return conv_res
 
     async def get_conversations(
-        self,
-        unified_msg_origin: str | None = None,
-        platform_id: str | None = None,
-    ) -> list[Conversation]:
-        """获取对话列表.
+        self, unified_msg_origin: str | None = None, platform_id: str | None = None
+    ) -> List[Conversation]:
+        """获取对话列表
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id，可选
             platform_id (str): 平台 ID, 可选参数, 用于过滤对话
         Returns:
             conversations (List[Conversation]): 对话对象列表
-
         """
         convs = await self.db.get_conversations(
-            user_id=unified_msg_origin,
-            platform_id=platform_id,
+            user_id=unified_msg_origin, platform_id=platform_id
         )
         convs_res = []
         for conv in convs:
@@ -225,7 +165,7 @@ class ConversationManager:
         search_query: str = "",
         **kwargs,
     ) -> tuple[list[Conversation], int]:
-        """获取过滤后的对话列表.
+        """获取过滤后的对话列表
 
         Args:
             page (int): 页码, 默认为 1
@@ -234,7 +174,6 @@ class ConversationManager:
             search_query (str): 搜索查询字符串, 可选
         Returns:
             conversations (list[Conversation]): 对话对象列表
-
         """
         convs, cnt = await self.db.get_filtered_conversations(
             page=page,
@@ -256,14 +195,13 @@ class ConversationManager:
         history: list[dict] | None = None,
         title: str | None = None,
         persona_id: str | None = None,
-    ) -> None:
-        """更新会话的对话.
+    ):
+        """更新会话的对话
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
             history (List[Dict]): 对话历史记录, 是一个字典列表, 每个字典包含 role 和 content 字段
-
         """
         if not conversation_id:
             # 如果没有提供 conversation_id，则获取当前的
@@ -277,20 +215,16 @@ class ConversationManager:
             )
 
     async def update_conversation_title(
-        self,
-        unified_msg_origin: str,
-        title: str,
-        conversation_id: str | None = None,
-    ) -> None:
-        """更新会话的对话标题.
+        self, unified_msg_origin: str, title: str, conversation_id: str | None = None
+    ):
+        """更新会话的对话标题
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             title (str): 对话标题
-            conversation_id (str): 对话 ID, 是 uuid 格式的字符串
+
         Deprecated:
             Use `update_conversation` with `title` parameter instead.
-
         """
         await self.update_conversation(
             unified_msg_origin=unified_msg_origin,
@@ -303,16 +237,15 @@ class ConversationManager:
         unified_msg_origin: str,
         persona_id: str,
         conversation_id: str | None = None,
-    ) -> None:
-        """更新会话的对话 Persona ID.
+    ):
+        """更新会话的对话 Persona ID
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             persona_id (str): 对话 Persona ID
-            conversation_id (str): 对话 ID, 是 uuid 格式的字符串
+
         Deprecated:
             Use `update_conversation` with `persona_id` parameter instead.
-
         """
         await self.update_conversation(
             unified_msg_origin=unified_msg_origin,
@@ -320,85 +253,40 @@ class ConversationManager:
             persona_id=persona_id,
         )
 
-    async def add_message_pair(
-        self,
-        cid: str,
-        user_message: UserMessageSegment | dict,
-        assistant_message: AssistantMessageSegment | dict,
-    ) -> None:
-        """Add a user-assistant message pair to the conversation history.
-
-        Args:
-            cid (str): Conversation ID
-            user_message (UserMessageSegment | dict): OpenAI-format user message object or dict
-            assistant_message (AssistantMessageSegment | dict): OpenAI-format assistant message object or dict
-
-        Raises:
-            Exception: If the conversation with the given ID is not found
-        """
-        conv = await self.db.get_conversation_by_id(cid=cid)
-        if not conv:
-            raise Exception(f"Conversation with id {cid} not found")
-        history = conv.content or []
-        if isinstance(user_message, UserMessageSegment):
-            user_msg_dict = user_message.model_dump()
-        else:
-            user_msg_dict = user_message
-        if isinstance(assistant_message, AssistantMessageSegment):
-            assistant_msg_dict = assistant_message.model_dump()
-        else:
-            assistant_msg_dict = assistant_message
-        history.append(user_msg_dict)
-        history.append(assistant_msg_dict)
-        await self.db.update_conversation(
-            cid=cid,
-            content=history,
-        )
-
     async def get_human_readable_context(
-        self,
-        unified_msg_origin: str,
-        conversation_id: str,
-        page: int = 1,
-        page_size: int = 10,
-    ) -> tuple[list[str], int]:
-        """获取人类可读的上下文.
+        self, unified_msg_origin, conversation_id, page=1, page_size=10
+    ):
+        """获取人类可读的上下文
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
             page (int): 页码
             page_size (int): 每页大小
-
         """
         conversation = await self.get_conversation(unified_msg_origin, conversation_id)
-        if not conversation:
-            return [], 0
         history = json.loads(conversation.history)
 
-        # contexts_groups 存放按顺序的段落（每个段落是一个 str 列表），
-        # 之后会被展平成一个扁平的 str 列表返回。
-        contexts_groups: list[list[str]] = []
-        temp_contexts: list[str] = []
+        contexts = []
+        temp_contexts = []
         for record in history:
             if record["role"] == "user":
                 temp_contexts.append(f"User: {record['content']}")
             elif record["role"] == "assistant":
-                if record.get("content"):
+                if "content" in record and record["content"]:
                     temp_contexts.append(f"Assistant: {record['content']}")
                 elif "tool_calls" in record:
                     tool_calls_str = json.dumps(
-                        record["tool_calls"],
-                        ensure_ascii=False,
+                        record["tool_calls"], ensure_ascii=False
                     )
                     temp_contexts.append(f"Assistant: [函数调用] {tool_calls_str}")
                 else:
                     temp_contexts.append("Assistant: [未知的内容]")
-                contexts_groups.insert(0, temp_contexts)
+                contexts.insert(0, temp_contexts)
                 temp_contexts = []
 
-        # 展平分组后的 contexts 列表为单层字符串列表
-        contexts = [item for sublist in contexts_groups for item in sublist]
+        # 展平 contexts 列表
+        contexts = [item for sublist in contexts for item in sublist]
 
         # 计算分页
         paged_contexts = contexts[(page - 1) * page_size : page * page_size]

astrbot/core/core_lifecycle.py

@@ -1,5 +1,5 @@
-"""Astrbot 核心生命周期管理类, 负责管理 AstrBot 的启动、停止、重启等操作.
-
+"""
+Astrbot 核心生命周期管理类, 负责管理 AstrBot 的启动、停止、重启等操作。
 该类负责初始化各个组件, 包括 ProviderManager、PlatformManager、ConversationManager、PluginManager、PipelineScheduler、EventBus等。
 该类还负责加载和执行插件, 以及处理事件总线的分发。
 
@@ -9,44 +9,42 @@
 3. 执行启动完成事件钩子
 """
 
-import asyncio
-import os
-import threading
-import time
 import traceback
+import asyncio
+import time
+import threading
+import os
+from .event_bus import EventBus
+from . import astrbot_config, html_renderer
 from asyncio import Queue
-
-from astrbot.core import LogBroker, logger, sp
-from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
+from typing import List
+from astrbot.core.pipeline.scheduler import PipelineScheduler, PipelineContext
+from astrbot.core.star import PluginManager
+from astrbot.core.platform.manager import PlatformManager
+from astrbot.core.star.context import Context
+from astrbot.core.persona_mgr import PersonaManager
+from astrbot.core.provider.manager import ProviderManager
+from astrbot.core import LogBroker
+from astrbot.core.db import BaseDatabase
+from astrbot.core.updator import AstrBotUpdator
+from astrbot.core import logger, sp
 from astrbot.core.config.default import VERSION
 from astrbot.core.conversation_mgr import ConversationManager
-from astrbot.core.db import BaseDatabase
-from astrbot.core.db.migration.migra_45_to_46 import migrate_45_to_46
-from astrbot.core.knowledge_base.kb_mgr import KnowledgeBaseManager
-from astrbot.core.persona_mgr import PersonaManager
-from astrbot.core.pipeline.scheduler import PipelineContext, PipelineScheduler
-from astrbot.core.platform.manager import PlatformManager
 from astrbot.core.platform_message_history_mgr import PlatformMessageHistoryManager
-from astrbot.core.provider.manager import ProviderManager
-from astrbot.core.star import PluginManager
-from astrbot.core.star.context import Context
-from astrbot.core.star.star_handler import EventType, star_handlers_registry, star_map
-from astrbot.core.umop_config_router import UmopConfigRouter
-from astrbot.core.updator import AstrBotUpdator
-
-from . import astrbot_config, html_renderer
-from .event_bus import EventBus
+from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
+from astrbot.core.star.star_handler import star_handlers_registry, EventType
+from astrbot.core.star.star_handler import star_map
 
 
 class AstrBotCoreLifecycle:
-    """AstrBot 核心生命周期管理类, 负责管理 AstrBot 的启动、停止、重启等操作.
-
+    """
+    AstrBot 核心生命周期管理类, 负责管理 AstrBot 的启动、停止、重启等操作。
     该类负责初始化各个组件, 包括 ProviderManager、PlatformManager、ConversationManager、PluginManager、PipelineScheduler、
     EventBus 等。
     该类还负责加载和执行插件, 以及处理事件总线的分发。
     """
 
-    def __init__(self, log_broker: LogBroker, db: BaseDatabase) -> None:
+    def __init__(self, log_broker: LogBroker, db: BaseDatabase):
         self.log_broker = log_broker  # 初始化日志代理
         self.astrbot_config = astrbot_config  # 初始化配置
         self.db = db  # 初始化数据库
@@ -70,11 +68,11 @@ class AstrBotCoreLifecycle:
                 del os.environ["no_proxy"]
             logger.debug("HTTP proxy cleared")
 
-    async def initialize(self) -> None:
-        """初始化 AstrBot 核心生命周期管理类.
-
-        负责初始化各个组件, 包括 ProviderManager、PlatformManager、ConversationManager、PluginManager、PipelineScheduler、EventBus、AstrBotUpdator等。
+    async def initialize(self):
         """
+        初始化 AstrBot 核心生命周期管理类, 负责初始化各个组件, 包括 ProviderManager、PlatformManager、ConversationManager、PluginManager、PipelineScheduler、EventBus、AstrBotUpdator等。
+        """
+
         # 初始化日志代理
         logger.info("AstrBot v" + VERSION)
         if os.environ.get("TESTING", ""):
@@ -86,23 +84,11 @@ class AstrBotCoreLifecycle:
 
         await html_renderer.initialize()
 
-        # 初始化 UMOP 配置路由器
-        self.umop_config_router = UmopConfigRouter(sp=sp)
-
         # 初始化 AstrBot 配置管理器
         self.astrbot_config_mgr = AstrBotConfigManager(
-            default_config=self.astrbot_config,
-            ucr=self.umop_config_router,
-            sp=sp,
+            default_config=self.astrbot_config, sp=sp
         )
 
-        # 4.5 to 4.6 migration for umop_config_router
-        try:
-            await migrate_45_to_46(self.astrbot_config_mgr, self.umop_config_router)
-        except Exception as e:
-            logger.error(f"Migration from version 4.5 to 4.6 failed: {e!s}")
-            logger.error(traceback.format_exc())
-
         # 初始化事件队列
         self.event_queue = Queue()
 
@@ -112,9 +98,7 @@ class AstrBotCoreLifecycle:
 
         # 初始化供应商管理器
         self.provider_manager = ProviderManager(
-            self.astrbot_config_mgr,
-            self.db,
-            self.persona_mgr,
+            self.astrbot_config_mgr, self.db, self.persona_mgr
         )
 
         # 初始化平台管理器
@@ -126,9 +110,6 @@ class AstrBotCoreLifecycle:
         # 初始化平台消息历史管理器
         self.platform_message_history_manager = PlatformMessageHistoryManager(self.db)
 
-        # 初始化知识库管理器
-        self.kb_manager = KnowledgeBaseManager(self.provider_manager)
-
         # 初始化提供给插件的上下文
         self.star_context = Context(
             self.event_queue,
@@ -140,7 +121,6 @@ class AstrBotCoreLifecycle:
             self.platform_message_history_manager,
             self.persona_mgr,
             self.astrbot_config_mgr,
-            self.kb_manager,
         )
 
         # 初始化插件管理器
@@ -152,9 +132,8 @@ class AstrBotCoreLifecycle:
         # 根据配置实例化各个 Provider
         await self.provider_manager.initialize()
 
-        await self.kb_manager.initialize()
-
         # 初始化消息事件流水线调度器
+
         self.pipeline_scheduler_mapping = await self.load_pipeline_scheduler()
 
         # 初始化更新器
@@ -162,16 +141,14 @@ class AstrBotCoreLifecycle:
 
         # 初始化事件总线
         self.event_bus = EventBus(
-            self.event_queue,
-            self.pipeline_scheduler_mapping,
-            self.astrbot_config_mgr,
+            self.event_queue, self.pipeline_scheduler_mapping, self.astrbot_config_mgr
         )
 
         # 记录启动时间
         self.start_time = int(time.time())
 
         # 初始化当前任务列表
-        self.curr_tasks: list[asyncio.Task] = []
+        self.curr_tasks: List[asyncio.Task] = []
 
         # 根据配置实例化各个平台适配器
         await self.platform_manager.initialize()
@@ -179,13 +156,13 @@ class AstrBotCoreLifecycle:
         # 初始化关闭控制面板的事件
         self.dashboard_shutdown_event = asyncio.Event()
 
-    def _load(self) -> None:
-        """加载事件总线和任务并初始化."""
+    def _load(self):
+        """加载事件总线和任务并初始化"""
+
         # 创建一个异步任务来执行事件总线的 dispatch() 方法
         # dispatch是一个无限循环的协程, 从事件队列中获取事件并处理
         event_bus_task = asyncio.create_task(
-            self.event_bus.dispatch(),
-            name="event_bus",
+            self.event_bus.dispatch(), name="event_bus"
         )
 
         # 把插件中注册的所有协程函数注册到事件总线中并执行
@@ -196,17 +173,16 @@ class AstrBotCoreLifecycle:
         tasks_ = [event_bus_task, *extra_tasks]
         for task in tasks_:
             self.curr_tasks.append(
-                asyncio.create_task(self._task_wrapper(task), name=task.get_name()),
+                asyncio.create_task(self._task_wrapper(task), name=task.get_name())
             )
 
         self.start_time = int(time.time())
 
-    async def _task_wrapper(self, task: asyncio.Task) -> None:
-        """异步任务包装器, 用于处理异步任务执行中出现的各种异常.
+    async def _task_wrapper(self, task: asyncio.Task):
+        """异步任务包装器, 用于处理异步任务执行中出现的各种异常
 
         Args:
             task (asyncio.Task): 要执行的异步任务
-
         """
         try:
             await task
@@ -219,22 +195,19 @@ class AstrBotCoreLifecycle:
                 logger.error(f"|    {line}")
             logger.error("-------")
 
-    async def start(self) -> None:
-        """启动 AstrBot 核心生命周期管理类.
-
-        用load加载事件总线和任务并初始化, 执行启动完成事件钩子
-        """
+    async def start(self):
+        """启动 AstrBot 核心生命周期管理类, 用load加载事件总线和任务并初始化, 执行启动完成事件钩子"""
         self._load()
         logger.info("AstrBot 启动完成。")
 
         # 执行启动完成事件钩子
         handlers = star_handlers_registry.get_handlers_by_event_type(
-            EventType.OnAstrBotLoadedEvent,
+            EventType.OnAstrBotLoadedEvent
         )
         for handler in handlers:
             try:
                 logger.info(
-                    f"hook(on_astrbot_loaded) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}",
+                    f"hook(on_astrbot_loaded) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}"
                 )
                 await handler.handler()
             except BaseException:
@@ -243,8 +216,8 @@ class AstrBotCoreLifecycle:
         # 同时运行curr_tasks中的所有任务
         await asyncio.gather(*self.curr_tasks, return_exceptions=True)
 
-    async def stop(self) -> None:
-        """停止 AstrBot 核心生命周期管理类, 取消所有当前任务并终止各个管理器."""
+    async def stop(self):
+        """停止 AstrBot 核心生命周期管理类, 取消所有当前任务并终止各个管理器"""
         # 请求停止所有正在运行的异步任务
         for task in self.curr_tasks:
             task.cancel()
@@ -255,12 +228,11 @@ class AstrBotCoreLifecycle:
             except Exception as e:
                 logger.warning(traceback.format_exc())
                 logger.warning(
-                    f"插件 {plugin.name} 未被正常终止 {e!s}, 可能会导致资源泄露等问题。",
+                    f"插件 {plugin.name} 未被正常终止 {e!s}, 可能会导致资源泄露等问题。"
                 )
 
         await self.provider_manager.terminate()
         await self.platform_manager.terminate()
-        await self.kb_manager.terminate()
         self.dashboard_shutdown_event.set()
 
         # 再次遍历curr_tasks等待每个任务真正结束
@@ -272,19 +244,16 @@ class AstrBotCoreLifecycle:
             except Exception as e:
                 logger.error(f"任务 {task.get_name()} 发生错误: {e}")
 
-    async def restart(self) -> None:
+    async def restart(self):
         """重启 AstrBot 核心生命周期管理类, 终止各个管理器并重新加载平台实例"""
         await self.provider_manager.terminate()
         await self.platform_manager.terminate()
-        await self.kb_manager.terminate()
         self.dashboard_shutdown_event.set()
         threading.Thread(
-            target=self.astrbot_updator._reboot,
-            name="restart",
-            daemon=True,
+            target=self.astrbot_updator._reboot, name="restart", daemon=True
         ).start()
 
-    def load_platform(self) -> list[asyncio.Task]:
+    def load_platform(self) -> List[asyncio.Task]:
         """加载平台实例并返回所有平台实例的异步任务列表"""
         tasks = []
         platform_insts = self.platform_manager.get_insts()
@@ -293,38 +262,36 @@ class AstrBotCoreLifecycle:
                 asyncio.create_task(
                     platform_inst.run(),
                     name=f"{platform_inst.meta().id}({platform_inst.meta().name})",
-                ),
+                )
             )
         return tasks
 
     async def load_pipeline_scheduler(self) -> dict[str, PipelineScheduler]:
-        """加载消息事件流水线调度器.
+        """加载消息事件流水线调度器
 
         Returns:
             dict[str, PipelineScheduler]: 平台 ID 到流水线调度器的映射
-
         """
         mapping = {}
         for conf_id, ab_config in self.astrbot_config_mgr.confs.items():
             scheduler = PipelineScheduler(
-                PipelineContext(ab_config, self.plugin_manager, conf_id),
+                PipelineContext(ab_config, self.plugin_manager, conf_id)
             )
             await scheduler.initialize()
             mapping[conf_id] = scheduler
         return mapping
 
-    async def reload_pipeline_scheduler(self, conf_id: str) -> None:
-        """重新加载消息事件流水线调度器.
+    async def reload_pipeline_scheduler(self, conf_id: str):
+        """重新加载消息事件流水线调度器
 
         Returns:
             dict[str, PipelineScheduler]: 平台 ID 到流水线调度器的映射
-
         """
         ab_config = self.astrbot_config_mgr.confs.get(conf_id)
         if not ab_config:
             raise ValueError(f"配置文件 {conf_id} 不存在")
         scheduler = PipelineScheduler(
-            PipelineContext(ab_config, self.plugin_manager, conf_id),
+            PipelineContext(ab_config, self.plugin_manager, conf_id)
         )
         await scheduler.initialize()
         self.pipeline_scheduler_mapping[conf_id] = scheduler

astrbot/core/db/__init__.py

@@ -1,27 +1,27 @@
 import abc
 import datetime
 import typing as T
-from contextlib import asynccontextmanager
-from dataclasses import dataclass
-
 from deprecated import deprecated
+from dataclasses import dataclass
+from astrbot.core.db.po import (
+    Stats,
+    PlatformStat,
+    ConversationV2,
+    PlatformMessageHistory,
+    Attachment,
+    Persona,
+    Preference,
+)
+from contextlib import asynccontextmanager
 from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
 from sqlalchemy.orm import sessionmaker
 
-from astrbot.core.db.po import (
-    Attachment,
-    ConversationV2,
-    Persona,
-    PlatformMessageHistory,
-    PlatformStat,
-    Preference,
-    Stats,
-)
-
 
 @dataclass
 class BaseDatabase(abc.ABC):
-    """数据库基类"""
+    """
+    数据库基类
+    """
 
     DATABASE_URL = ""
 
@@ -32,13 +32,12 @@ class BaseDatabase(abc.ABC):
             future=True,
         )
         self.AsyncSessionLocal = sessionmaker(
-            self.engine,
-            class_=AsyncSession,
-            expire_on_commit=False,
+            self.engine, class_=AsyncSession, expire_on_commit=False
         )
 
     async def initialize(self):
         """初始化数据库连接"""
+        pass
 
     @asynccontextmanager
     async def get_db(self) -> T.AsyncGenerator[AsyncSession, None]:
@@ -92,9 +91,7 @@ class BaseDatabase(abc.ABC):
 
     @abc.abstractmethod
     async def get_conversations(
-        self,
-        user_id: str | None = None,
-        platform_id: str | None = None,
+        self, user_id: str | None = None, platform_id: str | None = None
     ) -> list[ConversationV2]:
         """Get all conversations for a specific user and platform_id(optional).
 
@@ -109,9 +106,7 @@ class BaseDatabase(abc.ABC):
 
     @abc.abstractmethod
     async def get_all_conversations(
-        self,
-        page: int = 1,
-        page_size: int = 20,
+        self, page: int = 1, page_size: int = 20
     ) -> list[ConversationV2]:
         """Get all conversations with pagination."""
         ...
@@ -159,17 +154,12 @@ class BaseDatabase(abc.ABC):
         """Delete a conversation by its ID."""
         ...
 
-    @abc.abstractmethod
-    async def delete_conversations_by_user_id(self, user_id: str) -> None:
-        """Delete all conversations for a specific user."""
-        ...
-
     @abc.abstractmethod
     async def insert_platform_message_history(
         self,
         platform_id: str,
         user_id: str,
-        content: dict,
+        content: list[dict],
         sender_id: str | None = None,
         sender_name: str | None = None,
     ) -> None:
@@ -178,10 +168,7 @@ class BaseDatabase(abc.ABC):
 
     @abc.abstractmethod
     async def delete_platform_message_offset(
-        self,
-        platform_id: str,
-        user_id: str,
-        offset_sec: int = 86400,
+        self, platform_id: str, user_id: str, offset_sec: int = 86400
     ) -> None:
         """Delete platform message history records older than the specified offset."""
         ...
@@ -251,11 +238,7 @@ class BaseDatabase(abc.ABC):
 
     @abc.abstractmethod
     async def insert_preference_or_update(
-        self,
-        scope: str,
-        scope_id: str,
-        key: str,
-        value: dict,
+        self, scope: str, scope_id: str, key: str, value: dict
     ) -> Preference:
         """Insert a new preference record."""
         ...
@@ -267,10 +250,7 @@ class BaseDatabase(abc.ABC):
 
     @abc.abstractmethod
     async def get_preferences(
-        self,
-        scope: str,
-        scope_id: str | None = None,
-        key: str | None = None,
+        self, scope: str, scope_id: str | None = None, key: str | None = None
     ) -> list[Preference]:
         """Get all preferences for a specific scope ID or key."""
         ...
@@ -302,14 +282,3 @@ class BaseDatabase(abc.ABC):
     # async def get_llm_messages(self, cid: str) -> list[LLMMessage]:
     #     """Get all LLM messages for a specific conversation."""
     #     ...
-
-    @abc.abstractmethod
-    async def get_session_conversations(
-        self,
-        page: int = 1,
-        page_size: int = 20,
-        search_query: str | None = None,
-        platform: str | None = None,
-    ) -> tuple[list[dict], int]:
-        """Get paginated session conversations with joined conversation and persona details, support search and platform filter."""
-        ...

astrbot/core/db/migration/helper.py

@@ -1,33 +1,27 @@
 import os
-
-from astrbot.api import logger, sp
-from astrbot.core.config import AstrBotConfig
-from astrbot.core.db import BaseDatabase
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
-
+from astrbot.core.db import BaseDatabase
+from astrbot.core.config import AstrBotConfig
+from astrbot.api import logger, sp
 from .migra_3_to_4 import (
     migration_conversation_table,
-    migration_persona_data,
     migration_platform_table,
-    migration_preferences,
     migration_webchat_data,
+    migration_persona_data,
+    migration_preferences,
 )
 
 
 async def check_migration_needed_v4(db_helper: BaseDatabase) -> bool:
-    """检查是否需要进行数据库迁移
+    """
+    检查是否需要进行数据库迁移
     如果存在 data_v3.db 并且 preference 中没有 migration_done_v4，则需要进行迁移。
     """
-    # 仅当 data 目录下存在旧版本数据（data_v3.db 文件）时才考虑迁移
-    data_dir = get_astrbot_data_path()
-    data_v3_db = os.path.join(data_dir, "data_v3.db")
-
-    if not os.path.exists(data_v3_db):
+    data_v3_exists = os.path.exists(get_astrbot_data_path())
+    if not data_v3_exists:
         return False
     migration_done = await db_helper.get_preference(
-        "global",
-        "global",
-        "migration_done_v4",
+        "global", "global", "migration_done_v4"
     )
     if migration_done:
         return False
@@ -38,8 +32,9 @@ async def do_migration_v4(
     db_helper: BaseDatabase,
     platform_id_map: dict[str, dict[str, str]],
     astrbot_config: AstrBotConfig,
-) -> None:
-    """执行数据库迁移
+):
+    """
+    执行数据库迁移
     迁移旧的 webchat_conversation 表到新的 conversation 表。
     迁移旧的 platform 到新的 platform_stats 表。
     """
@@ -58,7 +53,7 @@ async def do_migration_v4(
     await migration_webchat_data(db_helper, platform_id_map)
 
     # 执行偏好设置迁移
-    await migration_preferences(db_helper, platform_id_map)
+    await migration_preferences(db_helper,platform_id_map)
 
     # 执行平台统计表迁移
     await migration_platform_table(db_helper, platform_id_map)

astrbot/core/db/migration/migra_3_to_4.py

@@ -1,18 +1,15 @@
-import datetime
 import json
-
-from sqlalchemy import text
-from sqlalchemy.ext.asyncio import AsyncSession
-
+import datetime
+from .. import BaseDatabase
+from .sqlite_v3 import SQLiteDatabase as SQLiteV3DatabaseV3
+from .shared_preferences_v3 import sp as sp_v3
+from astrbot.core.config.default import DB_PATH
 from astrbot.api import logger, sp
 from astrbot.core.config import AstrBotConfig
-from astrbot.core.config.default import DB_PATH
-from astrbot.core.db.po import ConversationV2, PlatformMessageHistory
 from astrbot.core.platform.astr_message_event import MessageSesion
-
-from .. import BaseDatabase
-from .shared_preferences_v3 import sp as sp_v3
-from .sqlite_v3 import SQLiteDatabase as SQLiteV3DatabaseV3
+from sqlalchemy.ext.asyncio import AsyncSession
+from astrbot.core.db.po import ConversationV2, PlatformMessageHistory
+from sqlalchemy import text
 
 """
 1. 迁移旧的 webchat_conversation 表到新的 conversation 表。
@@ -21,8 +18,7 @@ from .sqlite_v3 import SQLiteDatabase as SQLiteV3DatabaseV3
 
 
 def get_platform_id(
-    platform_id_map: dict[str, dict[str, str]],
-    old_platform_name: str,
+    platform_id_map: dict[str, dict[str, str]], old_platform_name: str
 ) -> str:
     return platform_id_map.get(
         old_platform_name,
@@ -31,8 +27,7 @@ def get_platform_id(
 
 
 def get_platform_type(
-    platform_id_map: dict[str, dict[str, str]],
-    old_platform_name: str,
+    platform_id_map: dict[str, dict[str, str]], old_platform_name: str
 ) -> str:
     return platform_id_map.get(
         old_platform_name,
@@ -41,15 +36,13 @@ def get_platform_type(
 
 
 async def migration_conversation_table(
-    db_helper: BaseDatabase,
-    platform_id_map: dict[str, dict[str, str]],
+    db_helper: BaseDatabase, platform_id_map: dict[str, dict[str, str]]
 ):
     db_helper_v3 = SQLiteV3DatabaseV3(
-        db_path=DB_PATH.replace("data_v4.db", "data_v3.db"),
+        db_path=DB_PATH.replace("data_v4.db", "data_v3.db")
     )
     conversations, total_cnt = db_helper_v3.get_all_conversations(
-        page=1,
-        page_size=10000000,
+        page=1, page_size=10000000
     )
     logger.info(f"迁移 {total_cnt} 条旧的会话数据到新的表中...")
 
@@ -68,14 +61,13 @@ async def migration_conversation_table(
                     )
                     if not conv:
                         logger.info(
-                            f"未找到该条旧会话对应的具体数据: {conversation}, 跳过。",
+                            f"未找到该条旧会话对应的具体数据: {conversation}, 跳过。"
                         )
                     if ":" not in conv.user_id:
                         continue
                     session = MessageSesion.from_str(session_str=conv.user_id)
                     platform_id = get_platform_id(
-                        platform_id_map,
-                        session.platform_name,
+                        platform_id_map, session.platform_name
                     )
                     session.platform_id = platform_id  # 更新平台名称为新的 ID
                     conv_v2 = ConversationV2(
@@ -98,11 +90,10 @@ async def migration_conversation_table(
 
 
 async def migration_platform_table(
-    db_helper: BaseDatabase,
-    platform_id_map: dict[str, dict[str, str]],
+    db_helper: BaseDatabase, platform_id_map: dict[str, dict[str, str]]
 ):
     db_helper_v3 = SQLiteV3DatabaseV3(
-        db_path=DB_PATH.replace("data_v4.db", "data_v3.db"),
+        db_path=DB_PATH.replace("data_v4.db", "data_v3.db")
     )
     secs_from_2023_4_10_to_now = (
         datetime.datetime.now(datetime.timezone.utc)
@@ -143,12 +134,10 @@ async def migration_platform_table(
                 if cnt == 0:
                     continue
                 platform_id = get_platform_id(
-                    platform_id_map,
-                    platform_stats_v3[idx].name,
+                    platform_id_map, platform_stats_v3[idx].name
                 )
                 platform_type = get_platform_type(
-                    platform_id_map,
-                    platform_stats_v3[idx].name,
+                    platform_id_map, platform_stats_v3[idx].name
                 )
                 try:
                     await dbsession.execute(
@@ -160,8 +149,7 @@ async def migration_platform_table(
                         """),
                         {
                             "timestamp": datetime.datetime.fromtimestamp(
-                                bucket_end,
-                                tz=datetime.timezone.utc,
+                                bucket_end, tz=datetime.timezone.utc
                             ),
                             "platform_id": platform_id,
                             "platform_type": platform_type,
@@ -177,16 +165,14 @@ async def migration_platform_table(
 
 
 async def migration_webchat_data(
-    db_helper: BaseDatabase,
-    platform_id_map: dict[str, dict[str, str]],
+    db_helper: BaseDatabase, platform_id_map: dict[str, dict[str, str]]
 ):
     """迁移 WebChat 的历史记录到新的 PlatformMessageHistory 表中"""
     db_helper_v3 = SQLiteV3DatabaseV3(
-        db_path=DB_PATH.replace("data_v4.db", "data_v3.db"),
+        db_path=DB_PATH.replace("data_v4.db", "data_v3.db")
     )
     conversations, total_cnt = db_helper_v3.get_all_conversations(
-        page=1,
-        page_size=10000000,
+        page=1, page_size=10000000
     )
     logger.info(f"迁移 {total_cnt} 条旧的 WebChat 会话数据到新的表中...")
 
@@ -205,7 +191,7 @@ async def migration_webchat_data(
                     )
                     if not conv:
                         logger.info(
-                            f"未找到该条旧会话对应的具体数据: {conversation}, 跳过。",
+                            f"未找到该条旧会话对应的具体数据: {conversation}, 跳过。"
                         )
                     if ":" in conv.user_id:
                         continue
@@ -232,10 +218,10 @@ async def migration_webchat_data(
 
 
 async def migration_persona_data(
-    db_helper: BaseDatabase,
-    astrbot_config: AstrBotConfig,
+    db_helper: BaseDatabase, astrbot_config: AstrBotConfig
 ):
-    """迁移 Persona 数据到新的表中。
+    """
+    迁移 Persona 数据到新的表中。
     旧的 Persona 数据存储在 preference 中，新的 Persona 数据存储在 persona 表中。
     """
     v3_persona_config: list[dict] = astrbot_config.get("persona", [])
@@ -250,15 +236,14 @@ async def migration_persona_data(
         try:
             begin_dialogs = persona.get("begin_dialogs", [])
             mood_imitation_dialogs = persona.get("mood_imitation_dialogs", [])
-            parts = []
+            mood_prompt = ""
             user_turn = True
             for mood_dialog in mood_imitation_dialogs:
                 if user_turn:
-                    parts.append(f"A: {mood_dialog}\n")
+                    mood_prompt += f"A: {mood_dialog}\n"
                 else:
-                    parts.append(f"B: {mood_dialog}\n")
+                    mood_prompt += f"B: {mood_dialog}\n"
                 user_turn = not user_turn
-            mood_prompt = "".join(parts)
             system_prompt = persona.get("prompt", "")
             if mood_prompt:
                 system_prompt += f"Here are few shots of dialogs, you need to imitate the tone of 'B' in the following dialogs to respond:\n {mood_prompt}"
@@ -268,15 +253,14 @@ async def migration_persona_data(
                 begin_dialogs=begin_dialogs,
             )
             logger.info(
-                f"迁移 Persona {persona['name']}({persona_new.system_prompt[:30]}...) 到新表成功。",
+                f"迁移 Persona {persona['name']}({persona_new.system_prompt[:30]}...) 到新表成功。"
             )
         except Exception as e:
             logger.error(f"解析 Persona 配置失败：{e}")
 
 
 async def migration_preferences(
-    db_helper: BaseDatabase,
-    platform_id_map: dict[str, dict[str, str]],
+    db_helper: BaseDatabase, platform_id_map: dict[str, dict[str, str]]
 ):
     # 1. global scope migration
     keys = [
@@ -345,13 +329,10 @@ async def migration_preferences(
 
             for provider_type, provider_id in perf.items():
                 await sp.put_async(
-                    "umo",
-                    str(session),
-                    f"provider_perf_{provider_type}",
-                    provider_id,
+                    "umo", str(session), f"provider_perf_{provider_type}", provider_id
                 )
             logger.info(
-                f"迁移会话 {umo} 的提供商偏好到新表成功，平台 ID: {platform_id}",
+                f"迁移会话 {umo} 的提供商偏好到新表成功，平台 ID: {platform_id}"
             )
         except Exception as e:
             logger.error(f"迁移会话 {umo} 的提供商偏好失败: {e}", exc_info=True)

astrbot/core/db/migration/migra_45_to_46.py

@@ -1,44 +0,0 @@
-from astrbot.api import logger, sp
-from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
-from astrbot.core.umop_config_router import UmopConfigRouter
-
-
-async def migrate_45_to_46(acm: AstrBotConfigManager, ucr: UmopConfigRouter):
-    abconf_data = acm.abconf_data
-
-    if not isinstance(abconf_data, dict):
-        # should be unreachable
-        logger.warning(
-            f"migrate_45_to_46: abconf_data is not a dict (type={type(abconf_data)}). Value: {abconf_data!r}",
-        )
-        return
-
-    # 如果任何一项带有 umop，则说明需要迁移
-    need_migration = False
-    for conf_id, conf_info in abconf_data.items():
-        if isinstance(conf_info, dict) and "umop" in conf_info:
-            need_migration = True
-            break
-
-    if not need_migration:
-        return
-
-    logger.info("Starting migration from version 4.5 to 4.6")
-
-    # extract umo->conf_id mapping
-    umo_to_conf_id = {}
-    for conf_id, conf_info in abconf_data.items():
-        if isinstance(conf_info, dict) and "umop" in conf_info:
-            umop_ls = conf_info.pop("umop")
-            if not isinstance(umop_ls, list):
-                continue
-            for umo in umop_ls:
-                if isinstance(umo, str) and umo not in umo_to_conf_id:
-                    umo_to_conf_id[umo] = conf_id
-
-    # update the abconf data
-    await sp.global_put("abconf_mapping", abconf_data)
-    # update the umop config router
-    await ucr.update_routing_data(umo_to_conf_id)
-
-    logger.info("Migration from version 45 to 46 completed successfully")

astrbot/core/db/migration/shared_preferences_v3.py

@@ -1,12 +1,10 @@
 import json
 import os
 from typing import TypeVar
-
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 
 _VT = TypeVar("_VT")
 
-
 class SharedPreferences:
     def __init__(self, path=None):
         if path is None:
@@ -17,7 +15,7 @@ class SharedPreferences:
     def _load_preferences(self):
         if os.path.exists(self.path):
             try:
-                with open(self.path) as f:
+                with open(self.path, "r") as f:
                     return json.load(f)
             except json.JSONDecodeError:
                 os.remove(self.path)
@@ -44,5 +42,4 @@ class SharedPreferences:
         self._data.clear()
         self._save_preferences()
 
-
 sp = SharedPreferences()

astrbot/core/db/migration/sqlite_v3.py

@@ -1,10 +1,8 @@
 import sqlite3
 import time
-from dataclasses import dataclass
-from typing import Any
-
 from astrbot.core.db.po import Platform, Stats
-
+from typing import Tuple, List, Dict, Any
+from dataclasses import dataclass
 
 @dataclass
 class Conversation:
@@ -78,7 +76,7 @@ PRAGMA encoding = 'UTF-8';
 """
 
 
-class SQLiteDatabase:
+class SQLiteDatabase():
     def __init__(self, db_path: str) -> None:
         super().__init__()
         self.db_path = db_path
@@ -95,7 +93,7 @@ class SQLiteDatabase:
         c.execute(
             """
             PRAGMA table_info(webchat_conversation)
-            """,
+            """
         )
         res = c.fetchall()
         has_title = False
@@ -109,14 +107,14 @@ class SQLiteDatabase:
             c.execute(
                 """
                 ALTER TABLE webchat_conversation ADD COLUMN title TEXT;
-                """,
+                """
             )
             self.conn.commit()
         if not has_persona_id:
             c.execute(
                 """
                 ALTER TABLE webchat_conversation ADD COLUMN persona_id TEXT;
-                """,
+                """
             )
             self.conn.commit()
 
@@ -127,7 +125,7 @@ class SQLiteDatabase:
         conn.text_factory = str
         return conn
 
-    def _exec_sql(self, sql: str, params: tuple = None):
+    def _exec_sql(self, sql: str, params: Tuple = None):
         conn = self.conn
         try:
             c = self.conn.cursor()
@@ -175,7 +173,7 @@ class SQLiteDatabase:
             """
             SELECT * FROM platform
             """
-            + where_clause,
+            + where_clause
         )
 
         platform = []
@@ -195,7 +193,7 @@ class SQLiteDatabase:
         c.execute(
             """
             SELECT SUM(count) FROM platform
-            """,
+            """
         )
         res = c.fetchone()
         c.close()
@@ -215,7 +213,7 @@ class SQLiteDatabase:
             SELECT name, SUM(count), timestamp FROM platform
             """
             + where_clause
-            + " GROUP BY name",
+            + " GROUP BY name"
         )
 
         platform = []
@@ -243,7 +241,7 @@ class SQLiteDatabase:
         c.close()
 
         if not res:
-            return None
+            return
 
         return Conversation(*res)
 
@@ -258,7 +256,7 @@ class SQLiteDatabase:
             (user_id, cid, history, updated_at, created_at),
         )
 
-    def get_conversations(self, user_id: str) -> tuple:
+    def get_conversations(self, user_id: str) -> Tuple:
         try:
             c = self.conn.cursor()
         except sqlite3.ProgrammingError:
@@ -281,7 +279,7 @@ class SQLiteDatabase:
             title = row[3]
             persona_id = row[4]
             conversations.append(
-                Conversation("", cid, "[]", created_at, updated_at, title, persona_id),
+                Conversation("", cid, "[]", created_at, updated_at, title, persona_id)
             )
         return conversations
 
@@ -320,10 +318,8 @@ class SQLiteDatabase:
         )
 
     def get_all_conversations(
-        self,
-        page: int = 1,
-        page_size: int = 20,
-    ) -> tuple[list[dict[str, Any]], int]:
+        self, page: int = 1, page_size: int = 20
+    ) -> Tuple[List[Dict[str, Any]], int]:
         """获取所有对话，支持分页，按更新时间降序排序"""
         try:
             c = self.conn.cursor()
@@ -369,7 +365,7 @@ class SQLiteDatabase:
                         "persona_id": persona_id or "",
                         "created_at": created_at or 0,
                         "updated_at": updated_at or 0,
-                    },
+                    }
                 )
 
             return conversations, total_count
@@ -384,12 +380,12 @@ class SQLiteDatabase:
         self,
         page: int = 1,
         page_size: int = 20,
-        platforms: list[str] | None = None,
-        message_types: list[str] | None = None,
-        search_query: str | None = None,
-        exclude_ids: list[str] | None = None,
-        exclude_platforms: list[str] | None = None,
-    ) -> tuple[list[dict[str, Any]], int]:
+        platforms: List[str] = None,
+        message_types: List[str] = None,
+        search_query: str = None,
+        exclude_ids: List[str] = None,
+        exclude_platforms: List[str] = None,
+    ) -> Tuple[List[Dict[str, Any]], int]:
         """获取筛选后的对话列表"""
         try:
             c = self.conn.cursor()
@@ -425,7 +421,7 @@ class SQLiteDatabase:
             if search_query:
                 search_query = search_query.encode("unicode_escape").decode("utf-8")
                 where_clauses.append(
-                    "(title LIKE ? OR user_id LIKE ? OR cid LIKE ? OR history LIKE ?)",
+                    "(title LIKE ? OR user_id LIKE ? OR cid LIKE ? OR history LIKE ?)"
                 )
                 search_param = f"%{search_query}%"
                 params.extend([search_param, search_param, search_param, search_param])
@@ -485,7 +481,7 @@ class SQLiteDatabase:
                         "persona_id": persona_id or "",
                         "created_at": created_at or 0,
                         "updated_at": updated_at or 0,
-                    },
+                    }
                 )
 
             return conversations, total_count

astrbot/core/db/po.py

@@ -1,15 +1,15 @@
 import uuid
-from dataclasses import dataclass, field
-from datetime import datetime, timezone
-from typing import TypedDict
 
+from datetime import datetime, timezone
+from dataclasses import dataclass, field
 from sqlmodel import (
-    JSON,
-    Field,
     SQLModel,
     Text,
+    JSON,
     UniqueConstraint,
+    Field,
 )
+from typing import Optional, TypedDict
 
 
 class PlatformStat(SQLModel, table=True):
@@ -40,8 +40,7 @@ class ConversationV2(SQLModel, table=True):
     __tablename__ = "conversations"
 
     inner_conversation_id: int = Field(
-        primary_key=True,
-        sa_column_kwargs={"autoincrement": True},
+        primary_key=True, sa_column_kwargs={"autoincrement": True}
     )
     conversation_id: str = Field(
         max_length=36,
@@ -51,14 +50,14 @@ class ConversationV2(SQLModel, table=True):
     )
     platform_id: str = Field(nullable=False)
     user_id: str = Field(nullable=False)
-    content: list | None = Field(default=None, sa_type=JSON)
+    content: Optional[list] = Field(default=None, sa_type=JSON)
     created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
     updated_at: datetime = Field(
         default_factory=lambda: datetime.now(timezone.utc),
         sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
     )
-    title: str | None = Field(default=None, max_length=255)
-    persona_id: str | None = Field(default=None)
+    title: Optional[str] = Field(default=None, max_length=255)
+    persona_id: Optional[str] = Field(default=None)
 
     __table_args__ = (
         UniqueConstraint(
@@ -76,16 +75,12 @@ class Persona(SQLModel, table=True):
 
     __tablename__ = "personas"
 
-    id: int | None = Field(
-        primary_key=True,
-        sa_column_kwargs={"autoincrement": True},
-        default=None,
-    )
+    id: int = Field(primary_key=True, sa_column_kwargs={"autoincrement": True})
     persona_id: str = Field(max_length=255, nullable=False)
     system_prompt: str = Field(sa_type=Text, nullable=False)
-    begin_dialogs: list | None = Field(default=None, sa_type=JSON)
+    begin_dialogs: Optional[list] = Field(default=None, sa_type=JSON)
     """a list of strings, each representing a dialog to start with"""
-    tools: list | None = Field(default=None, sa_type=JSON)
+    tools: Optional[list] = Field(default=None, sa_type=JSON)
     """None means use ALL tools for default, empty list means no tools, otherwise a list of tool names."""
     created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
     updated_at: datetime = Field(
@@ -107,9 +102,7 @@ class Preference(SQLModel, table=True):
     __tablename__ = "preferences"
 
     id: int | None = Field(
-        default=None,
-        primary_key=True,
-        sa_column_kwargs={"autoincrement": True},
+        default=None, primary_key=True, sa_column_kwargs={"autoincrement": True}
     )
     scope: str = Field(nullable=False)
     """Scope of the preference, such as 'global', 'umo', 'plugin'."""
@@ -142,16 +135,12 @@ class PlatformMessageHistory(SQLModel, table=True):
 
     __tablename__ = "platform_message_history"
 
-    id: int | None = Field(
-        primary_key=True,
-        sa_column_kwargs={"autoincrement": True},
-        default=None,
-    )
+    id: int = Field(primary_key=True, sa_column_kwargs={"autoincrement": True})
     platform_id: str = Field(nullable=False)
     user_id: str = Field(nullable=False)  # An id of group, user in platform
-    sender_id: str | None = Field(default=None)  # ID of the sender in the platform
-    sender_name: str | None = Field(
-        default=None,
+    sender_id: Optional[str] = Field(default=None)  # ID of the sender in the platform
+    sender_name: Optional[str] = Field(
+        default=None
     )  # Name of the sender in the platform
     content: dict = Field(sa_type=JSON, nullable=False)  # a message chain list
     created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
@@ -169,10 +158,8 @@ class Attachment(SQLModel, table=True):
 
     __tablename__ = "attachments"
 
-    inner_attachment_id: int | None = Field(
-        primary_key=True,
-        sa_column_kwargs={"autoincrement": True},
-        default=None,
+    inner_attachment_id: int = Field(
+        primary_key=True, sa_column_kwargs={"autoincrement": True}
     )
     attachment_id: str = Field(
         max_length=36,

astrbot/core/db/sqlite.py

@@ -1,27 +1,23 @@
 import asyncio
-import threading
 import typing as T
+import threading
 from datetime import datetime, timedelta
-
-from sqlalchemy.ext.asyncio import AsyncSession
-from sqlmodel import col, delete, desc, func, or_, select, text, update
-
 from astrbot.core.db import BaseDatabase
 from astrbot.core.db.po import (
-    Attachment,
     ConversationV2,
-    Persona,
-    PlatformMessageHistory,
     PlatformStat,
+    PlatformMessageHistory,
+    Attachment,
+    Persona,
     Preference,
+    Stats as DeprecatedStats,
+    Platform as DeprecatedPlatformStat,
     SQLModel,
 )
-from astrbot.core.db.po import (
-    Platform as DeprecatedPlatformStat,
-)
-from astrbot.core.db.po import (
-    Stats as DeprecatedStats,
-)
+
+from sqlalchemy import select, update, delete, text
+from sqlalchemy.ext.asyncio import AsyncSession
+from sqlalchemy.sql import func
 
 NOT_GIVEN = T.TypeVar("NOT_GIVEN")
 
@@ -37,12 +33,6 @@ class SQLiteDatabase(BaseDatabase):
         """Initialize the database by creating tables if they do not exist."""
         async with self.engine.begin() as conn:
             await conn.run_sync(SQLModel.metadata.create_all)
-            await conn.execute(text("PRAGMA journal_mode=WAL"))
-            await conn.execute(text("PRAGMA synchronous=NORMAL"))
-            await conn.execute(text("PRAGMA cache_size=20000"))
-            await conn.execute(text("PRAGMA temp_store=MEMORY"))
-            await conn.execute(text("PRAGMA mmap_size=134217728"))
-            await conn.execute(text("PRAGMA optimize"))
             await conn.commit()
 
     # ====
@@ -51,10 +41,10 @@ class SQLiteDatabase(BaseDatabase):
 
     async def insert_platform_stats(
         self,
-        platform_id,
-        platform_type,
-        count=1,
-        timestamp=None,
+        platform_id: str,
+        platform_type: str,
+        count: int = 1,
+        timestamp: datetime = None,
     ) -> None:
         """Insert a new platform statistic record."""
         async with self.get_db() as session:
@@ -62,9 +52,7 @@ class SQLiteDatabase(BaseDatabase):
             async with session.begin():
                 if timestamp is None:
                     timestamp = datetime.now().replace(
-                        minute=0,
-                        second=0,
-                        microsecond=0,
+                        minute=0, second=0, microsecond=0
                     )
                 current_hour = timestamp
                 await session.execute(
@@ -87,14 +75,12 @@ class SQLiteDatabase(BaseDatabase):
         async with self.get_db() as session:
             session: AsyncSession
             result = await session.execute(
-                select(func.count(col(PlatformStat.platform_id))).select_from(
-                    PlatformStat,
-                ),
+                select(func.count(PlatformStat.platform_id)).select_from(PlatformStat)
             )
             count = result.scalar_one_or_none()
             return count if count is not None else 0
 
-    async def get_platform_stats(self, offset_sec: int = 86400) -> list[PlatformStat]:
+    async def get_platform_stats(self, offset_sec: int = 86400) -> T.List[PlatformStat]:
         """Get platform statistics within the specified offset in seconds and group by platform_id."""
         async with self.get_db() as session:
             session: AsyncSession
@@ -109,7 +95,7 @@ class SQLiteDatabase(BaseDatabase):
                 """),
                 {"start_time": start_time},
             )
-            return list(result.scalars().all())
+            return result.scalars().all()
 
     # ====
     # Conversation Management
@@ -125,7 +111,7 @@ class SQLiteDatabase(BaseDatabase):
             if platform_id:
                 query = query.where(ConversationV2.platform_id == platform_id)
             # order by
-            query = query.order_by(desc(ConversationV2.created_at))
+            query = query.order_by(ConversationV2.created_at.desc())
             result = await session.execute(query)
 
             return result.scalars().all()
@@ -143,9 +129,9 @@ class SQLiteDatabase(BaseDatabase):
             offset = (page - 1) * page_size
             result = await session.execute(
                 select(ConversationV2)
-                .order_by(desc(ConversationV2.created_at))
+                .order_by(ConversationV2.created_at.desc())
                 .offset(offset)
-                .limit(page_size),
+                .limit(page_size)
             )
             return result.scalars().all()
 
@@ -164,26 +150,11 @@ class SQLiteDatabase(BaseDatabase):
 
             if platform_ids:
                 base_query = base_query.where(
-                    col(ConversationV2.platform_id).in_(platform_ids),
+                    ConversationV2.platform_id.in_(platform_ids)
                 )
             if search_query:
-                search_query = search_query.encode("unicode_escape").decode("utf-8")
                 base_query = base_query.where(
-                    or_(
-                        col(ConversationV2.title).ilike(f"%{search_query}%"),
-                        col(ConversationV2.content).ilike(f"%{search_query}%"),
-                        col(ConversationV2.user_id).ilike(f"%{search_query}%"),
-                        col(ConversationV2.conversation_id).ilike(f"%{search_query}%"),
-                    ),
-                )
-            if "message_types" in kwargs and len(kwargs["message_types"]) > 0:
-                for msg_type in kwargs["message_types"]:
-                    base_query = base_query.where(
-                        col(ConversationV2.user_id).ilike(f"%:{msg_type}:%"),
-                    )
-            if "platforms" in kwargs and len(kwargs["platforms"]) > 0:
-                base_query = base_query.where(
-                    col(ConversationV2.platform_id).in_(kwargs["platforms"]),
+                    ConversationV2.title.ilike(f"%{search_query}%")
                 )
 
             # Get total count matching the filters
@@ -194,7 +165,7 @@ class SQLiteDatabase(BaseDatabase):
             # Get paginated results
             offset = (page - 1) * page_size
             result_query = (
-                base_query.order_by(desc(ConversationV2.created_at))
+                base_query.order_by(ConversationV2.created_at.desc())
                 .offset(offset)
                 .limit(page_size)
             )
@@ -240,7 +211,7 @@ class SQLiteDatabase(BaseDatabase):
             session: AsyncSession
             async with session.begin():
                 query = update(ConversationV2).where(
-                    col(ConversationV2.conversation_id) == cid,
+                    ConversationV2.conversation_id == cid
                 )
                 values = {}
                 if title is not None:
@@ -250,7 +221,7 @@ class SQLiteDatabase(BaseDatabase):
                 if content is not None:
                     values["content"] = content
                 if not values:
-                    return None
+                    return
                 query = query.values(**values)
                 await session.execute(query)
         return await self.get_conversation_by_id(cid)
@@ -260,130 +231,9 @@ class SQLiteDatabase(BaseDatabase):
             session: AsyncSession
             async with session.begin():
                 await session.execute(
-                    delete(ConversationV2).where(
-                        col(ConversationV2.conversation_id) == cid,
-                    ),
+                    delete(ConversationV2).where(ConversationV2.conversation_id == cid)
                 )
 
-    async def delete_conversations_by_user_id(self, user_id: str) -> None:
-        async with self.get_db() as session:
-            session: AsyncSession
-            async with session.begin():
-                await session.execute(
-                    delete(ConversationV2).where(
-                        col(ConversationV2.user_id) == user_id
-                    ),
-                )
-
-    async def get_session_conversations(
-        self,
-        page=1,
-        page_size=20,
-        search_query=None,
-        platform=None,
-    ) -> tuple[list[dict], int]:
-        """Get paginated session conversations with joined conversation and persona details."""
-        async with self.get_db() as session:
-            session: AsyncSession
-            offset = (page - 1) * page_size
-
-            base_query = (
-                select(
-                    col(Preference.scope_id).label("session_id"),
-                    func.json_extract(Preference.value, "$.val").label(
-                        "conversation_id",
-                    ),  # type: ignore
-                    col(ConversationV2.persona_id).label("persona_id"),
-                    col(ConversationV2.title).label("title"),
-                    col(Persona.persona_id).label("persona_name"),
-                )
-                .select_from(Preference)
-                .outerjoin(
-                    ConversationV2,
-                    func.json_extract(Preference.value, "$.val")
-                    == ConversationV2.conversation_id,
-                )
-                .outerjoin(
-                    Persona,
-                    col(ConversationV2.persona_id) == Persona.persona_id,
-                )
-                .where(Preference.scope == "umo", Preference.key == "sel_conv_id")
-            )
-
-            # 搜索筛选
-            if search_query:
-                search_pattern = f"%{search_query}%"
-                base_query = base_query.where(
-                    or_(
-                        col(Preference.scope_id).ilike(search_pattern),
-                        col(ConversationV2.title).ilike(search_pattern),
-                        col(Persona.persona_id).ilike(search_pattern),
-                    ),
-                )
-
-            # 平台筛选
-            if platform:
-                platform_pattern = f"{platform}:%"
-                base_query = base_query.where(
-                    col(Preference.scope_id).like(platform_pattern),
-                )
-
-            # 排序
-            base_query = base_query.order_by(Preference.scope_id)
-
-            # 分页结果
-            result_query = base_query.offset(offset).limit(page_size)
-            result = await session.execute(result_query)
-            rows = result.fetchall()
-
-            # 查询总数（应用相同的筛选条件）
-            count_base_query = (
-                select(func.count(col(Preference.scope_id)))
-                .select_from(Preference)
-                .outerjoin(
-                    ConversationV2,
-                    func.json_extract(Preference.value, "$.val")
-                    == ConversationV2.conversation_id,
-                )
-                .outerjoin(
-                    Persona,
-                    col(ConversationV2.persona_id) == Persona.persona_id,
-                )
-                .where(Preference.scope == "umo", Preference.key == "sel_conv_id")
-            )
-
-            # 应用相同的搜索和平台筛选条件到计数查询
-            if search_query:
-                search_pattern = f"%{search_query}%"
-                count_base_query = count_base_query.where(
-                    or_(
-                        col(Preference.scope_id).ilike(search_pattern),
-                        col(ConversationV2.title).ilike(search_pattern),
-                        col(Persona.persona_id).ilike(search_pattern),
-                    ),
-                )
-
-            if platform:
-                platform_pattern = f"{platform}:%"
-                count_base_query = count_base_query.where(
-                    col(Preference.scope_id).like(platform_pattern),
-                )
-
-            total_result = await session.execute(count_base_query)
-            total = total_result.scalar() or 0
-
-            sessions_data = [
-                {
-                    "session_id": row.session_id,
-                    "conversation_id": row.conversation_id,
-                    "persona_id": row.persona_id,
-                    "title": row.title,
-                    "persona_name": row.persona_name,
-                }
-                for row in rows
-            ]
-            return sessions_data, total
-
     async def insert_platform_message_history(
         self,
         platform_id,
@@ -407,10 +257,7 @@ class SQLiteDatabase(BaseDatabase):
                 return new_history
 
     async def delete_platform_message_offset(
-        self,
-        platform_id,
-        user_id,
-        offset_sec=86400,
+        self, platform_id, user_id, offset_sec=86400
     ):
         """Delete platform message history records older than the specified offset."""
         async with self.get_db() as session:
@@ -420,18 +267,14 @@ class SQLiteDatabase(BaseDatabase):
                 cutoff_time = now - timedelta(seconds=offset_sec)
                 await session.execute(
                     delete(PlatformMessageHistory).where(
-                        col(PlatformMessageHistory.platform_id) == platform_id,
-                        col(PlatformMessageHistory.user_id) == user_id,
-                        col(PlatformMessageHistory.created_at) < cutoff_time,
-                    ),
+                        PlatformMessageHistory.platform_id == platform_id,
+                        PlatformMessageHistory.user_id == user_id,
+                        PlatformMessageHistory.created_at < cutoff_time,
+                    )
                 )
 
     async def get_platform_message_history(
-        self,
-        platform_id,
-        user_id,
-        page=1,
-        page_size=20,
+        self, platform_id, user_id, page=1, page_size=20
     ):
         """Get platform message history records."""
         async with self.get_db() as session:
@@ -443,7 +286,7 @@ class SQLiteDatabase(BaseDatabase):
                     PlatformMessageHistory.platform_id == platform_id,
                     PlatformMessageHistory.user_id == user_id,
                 )
-                .order_by(desc(PlatformMessageHistory.created_at))
+                .order_by(PlatformMessageHistory.created_at.desc())
             )
             result = await session.execute(query.offset(offset).limit(page_size))
             return result.scalars().all()
@@ -465,16 +308,12 @@ class SQLiteDatabase(BaseDatabase):
         """Get an attachment by its ID."""
         async with self.get_db() as session:
             session: AsyncSession
-            query = select(Attachment).where(Attachment.attachment_id == attachment_id)
+            query = select(Attachment).where(Attachment.id == attachment_id)
             result = await session.execute(query)
             return result.scalar_one_or_none()
 
     async def insert_persona(
-        self,
-        persona_id,
-        system_prompt,
-        begin_dialogs=None,
-        tools=None,
+        self, persona_id, system_prompt, begin_dialogs=None, tools=None
     ):
         """Insert a new persona record."""
         async with self.get_db() as session:
@@ -506,17 +345,13 @@ class SQLiteDatabase(BaseDatabase):
             return result.scalars().all()
 
     async def update_persona(
-        self,
-        persona_id,
-        system_prompt=None,
-        begin_dialogs=None,
-        tools=NOT_GIVEN,
+        self, persona_id, system_prompt=None, begin_dialogs=None, tools=NOT_GIVEN
     ):
         """Update a persona's system prompt or begin dialogs."""
         async with self.get_db() as session:
             session: AsyncSession
             async with session.begin():
-                query = update(Persona).where(col(Persona.persona_id) == persona_id)
+                query = update(Persona).where(Persona.persona_id == persona_id)
                 values = {}
                 if system_prompt is not None:
                     values["system_prompt"] = system_prompt
@@ -525,7 +360,7 @@ class SQLiteDatabase(BaseDatabase):
                 if tools is not NOT_GIVEN:
                     values["tools"] = tools
                 if not values:
-                    return None
+                    return
                 query = query.values(**values)
                 await session.execute(query)
         return await self.get_persona_by_id(persona_id)
@@ -536,7 +371,7 @@ class SQLiteDatabase(BaseDatabase):
             session: AsyncSession
             async with session.begin():
                 await session.execute(
-                    delete(Persona).where(col(Persona.persona_id) == persona_id),
+                    delete(Persona).where(Persona.persona_id == persona_id)
                 )
 
     async def insert_preference_or_update(self, scope, scope_id, key, value):
@@ -555,10 +390,7 @@ class SQLiteDatabase(BaseDatabase):
                     existing_preference.value = value
                 else:
                     new_preference = Preference(
-                        scope=scope,
-                        scope_id=scope_id,
-                        key=key,
-                        value=value,
+                        scope=scope, scope_id=scope_id, key=key, value=value
                     )
                     session.add(new_preference)
                 return existing_preference or new_preference
@@ -594,10 +426,10 @@ class SQLiteDatabase(BaseDatabase):
             async with session.begin():
                 await session.execute(
                     delete(Preference).where(
-                        col(Preference.scope) == scope,
-                        col(Preference.scope_id) == scope_id,
-                        col(Preference.key) == key,
-                    ),
+                        Preference.scope == scope,
+                        Preference.scope_id == scope_id,
+                        Preference.key == key,
+                    )
                 )
             await session.commit()
 
@@ -608,9 +440,8 @@ class SQLiteDatabase(BaseDatabase):
             async with session.begin():
                 await session.execute(
                     delete(Preference).where(
-                        col(Preference.scope) == scope,
-                        col(Preference.scope_id) == scope_id,
-                    ),
+                        Preference.scope == scope, Preference.scope_id == scope_id
+                    )
                 )
             await session.commit()
 
@@ -627,7 +458,7 @@ class SQLiteDatabase(BaseDatabase):
                 now = datetime.now()
                 start_time = now - timedelta(seconds=offset_sec)
                 result = await session.execute(
-                    select(PlatformStat).where(PlatformStat.timestamp >= start_time),
+                    select(PlatformStat).where(PlatformStat.timestamp >= start_time)
                 )
                 all_datas = result.scalars().all()
                 deprecated_stats = DeprecatedStats()
@@ -636,8 +467,8 @@ class SQLiteDatabase(BaseDatabase):
                         DeprecatedPlatformStat(
                             name=data.platform_id,
                             count=data.count,
-                            timestamp=int(data.timestamp.timestamp()),
-                        ),
+                            timestamp=data.timestamp.timestamp(),
+                        )
                     )
                 return deprecated_stats
 
@@ -659,7 +490,7 @@ class SQLiteDatabase(BaseDatabase):
             async with self.get_db() as session:
                 session: AsyncSession
                 result = await session.execute(
-                    select(func.sum(PlatformStat.count)).select_from(PlatformStat),
+                    select(func.sum(PlatformStat.count)).select_from(PlatformStat)
                 )
                 total_count = result.scalar_one_or_none()
                 return total_count if total_count is not None else 0
@@ -685,7 +516,7 @@ class SQLiteDatabase(BaseDatabase):
                 result = await session.execute(
                     select(PlatformStat.platform_id, func.sum(PlatformStat.count))
                     .where(PlatformStat.timestamp >= start_time)
-                    .group_by(PlatformStat.platform_id),
+                    .group_by(PlatformStat.platform_id)
                 )
                 grouped_stats = result.all()
                 deprecated_stats = DeprecatedStats()
@@ -694,8 +525,8 @@ class SQLiteDatabase(BaseDatabase):
                         DeprecatedPlatformStat(
                             name=platform_id,
                             count=count,
-                            timestamp=int(start_time.timestamp()),
-                        ),
+                            timestamp=start_time.timestamp(),
+                        )
                     )
                 return deprecated_stats
 

astrbot/core/db/vec_db/base.py

@@ -10,47 +10,22 @@ class Result:
 
 class BaseVecDB:
     async def initialize(self):
-        """初始化向量数据库"""
+        """
+        初始化向量数据库
+        """
+        pass
 
     @abc.abstractmethod
-    async def insert(
-        self,
-        content: str,
-        metadata: dict | None = None,
-        id: str | None = None,
-    ) -> int:
-        """插入一条文本和其对应向量，自动生成 ID 并保持一致性。"""
-        ...
-
-    @abc.abstractmethod
-    async def insert_batch(
-        self,
-        contents: list[str],
-        metadatas: list[dict] | None = None,
-        ids: list[str] | None = None,
-        batch_size: int = 32,
-        tasks_limit: int = 3,
-        max_retries: int = 3,
-        progress_callback=None,
-    ) -> int:
-        """批量插入文本和其对应向量，自动生成 ID 并保持一致性。
-
-        Args:
-            progress_callback: 进度回调函数，接收参数 (current, total)
-
+    async def insert(self, content: str, metadata: dict = None, id: str = None) -> int:
+        """
+        插入一条文本和其对应向量，自动生成 ID 并保持一致性。
         """
         ...
 
     @abc.abstractmethod
-    async def retrieve(
-        self,
-        query: str,
-        top_k: int = 5,
-        fetch_k: int = 20,
-        rerank: bool = False,
-        metadata_filters: dict | None = None,
-    ) -> list[Result]:
-        """搜索最相似的文档。
+    async def retrieve(self, query: str, top_k: int = 5) -> list[Result]:
+        """
+        搜索最相似的文档。
         Args:
             query (str): 查询文本
             top_k (int): 返回的最相似文档的数量
@@ -61,13 +36,11 @@ class BaseVecDB:
 
     @abc.abstractmethod
     async def delete(self, doc_id: str) -> bool:
-        """删除指定文档。
+        """
+        删除指定文档。
         Args:
             doc_id (str): 要删除的文档 ID
         Returns:
             bool: 删除是否成功
         """
         ...
-
-    @abc.abstractmethod
-    async def close(self): ...

astrbot/core/db/vec_db/faiss_impl/__init__.py

@@ -1,3 +1,3 @@
 from .vec_db import FaissVecDB
 
-__all__ = ["FaissVecDB"]
+__all__ = ["FaissVecDB"]

astrbot/core/db/vec_db/faiss_impl/document_storage.py

@@ -1,232 +1,59 @@
-import json
+import aiosqlite
 import os
-from contextlib import asynccontextmanager
-from datetime import datetime
-
-from sqlalchemy import Column, Text
-from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession, create_async_engine
-from sqlalchemy.orm import sessionmaker
-from sqlmodel import Field, MetaData, SQLModel, col, func, select, text
-
-from astrbot.core import logger
-
-
-class BaseDocModel(SQLModel, table=False):
-    metadata = MetaData()
-
-
-class Document(BaseDocModel, table=True):
-    """SQLModel for documents table."""
-
-    __tablename__ = "documents"  # type: ignore
-
-    id: int | None = Field(
-        default=None,
-        primary_key=True,
-        sa_column_kwargs={"autoincrement": True},
-    )
-    doc_id: str = Field(nullable=False)
-    text: str = Field(nullable=False)
-    metadata_: str | None = Field(default=None, sa_column=Column("metadata", Text))
-    created_at: datetime | None = Field(default=None)
-    updated_at: datetime | None = Field(default=None)
 
 
 class DocumentStorage:
     def __init__(self, db_path: str):
         self.db_path = db_path
-        self.DATABASE_URL = f"sqlite+aiosqlite:///{db_path}"
-        self.engine: AsyncEngine | None = None
-        self.async_session_maker: sessionmaker | None = None
+        self.connection = None
         self.sqlite_init_path = os.path.join(
-            os.path.dirname(__file__),
-            "sqlite_init.sql",
+            os.path.dirname(__file__), "sqlite_init.sql"
         )
 
     async def initialize(self):
         """Initialize the SQLite database and create the documents table if it doesn't exist."""
-        await self.connect()
-        async with self.engine.begin() as conn:  # type: ignore
-            # Create tables using SQLModel
-            await conn.run_sync(BaseDocModel.metadata.create_all)
-
-            try:
-                await conn.execute(
-                    text(
-                        "ALTER TABLE documents ADD COLUMN kb_doc_id TEXT "
-                        "GENERATED ALWAYS AS (json_extract(metadata, '$.kb_doc_id')) STORED",
-                    ),
-                )
-                await conn.execute(
-                    text(
-                        "ALTER TABLE documents ADD COLUMN user_id TEXT "
-                        "GENERATED ALWAYS AS (json_extract(metadata, '$.user_id')) STORED",
-                    ),
-                )
-
-                # Create indexes
-                await conn.execute(
-                    text(
-                        "CREATE INDEX IF NOT EXISTS idx_documents_kb_doc_id ON documents(kb_doc_id)",
-                    ),
-                )
-                await conn.execute(
-                    text(
-                        "CREATE INDEX IF NOT EXISTS idx_documents_user_id ON documents(user_id)",
-                    ),
-                )
-            except BaseException:
-                pass
-
-            await conn.commit()
+        if not os.path.exists(self.db_path):
+            await self.connect()
+            async with self.connection.cursor() as cursor:
+                with open(self.sqlite_init_path, "r", encoding="utf-8") as f:
+                    sql_script = f.read()
+                await cursor.executescript(sql_script)
+            await self.connection.commit()
+        else:
+            await self.connect()
 
     async def connect(self):
         """Connect to the SQLite database."""
-        if self.engine is None:
-            self.engine = create_async_engine(
-                self.DATABASE_URL,
-                echo=False,
-                future=True,
-            )
-            self.async_session_maker = sessionmaker(
-                self.engine,  # type: ignore
-                class_=AsyncSession,
-                expire_on_commit=False,
-            )  # type: ignore
+        self.connection = await aiosqlite.connect(self.db_path)
 
-    @asynccontextmanager
-    async def get_session(self):
-        """Context manager for database sessions."""
-        async with self.async_session_maker() as session:  # type: ignore
-            yield session
-
-    async def get_documents(
-        self,
-        metadata_filters: dict,
-        ids: list | None = None,
-        offset: int | None = 0,
-        limit: int | None = 100,
-    ) -> list[dict]:
+    async def get_documents(self, metadata_filters: dict, ids: list = None):
         """Retrieve documents by metadata filters and ids.
 
         Args:
             metadata_filters (dict): The metadata filters to apply.
-            ids (list | None): Optional list of document IDs to filter.
-            offset (int | None): Offset for pagination.
-            limit (int | None): Limit for pagination.
 
         Returns:
-            list: The list of documents that match the filters.
-
+            list: The list of document IDs(primary key, not doc_id) that match the filters.
         """
-        if self.engine is None:
-            logger.warning(
-                "Database connection is not initialized, returning empty result",
-            )
-            return []
+        # metadata filter -> SQL WHERE clause
+        where_clauses = []
+        values = []
+        for key, val in metadata_filters.items():
+            where_clauses.append(f"json_extract(metadata, '$.{key}') = ?")
+            values.append(val)
+        if ids is not None and len(ids) > 0:
+            ids = [str(i) for i in ids if i != -1]
+            where_clauses.append("id IN ({})".format(",".join("?" * len(ids))))
+            values.extend(ids)
+        where_sql = " AND ".join(where_clauses) or "1=1"
 
-        async with self.get_session() as session:
-            query = select(Document)
-
-            for key, val in metadata_filters.items():
-                query = query.where(
-                    text(f"json_extract(metadata, '$.{key}') = :filter_{key}"),
-                ).params(**{f"filter_{key}": val})
-
-            if ids is not None and len(ids) > 0:
-                valid_ids = [int(i) for i in ids if i != -1]
-                if valid_ids:
-                    query = query.where(col(Document.id).in_(valid_ids))
-
-            if limit is not None:
-                query = query.limit(limit)
-            if offset is not None:
-                query = query.offset(offset)
-
-            result = await session.execute(query)
-            documents = result.scalars().all()
-
-            return [self._document_to_dict(doc) for doc in documents]
-
-    async def insert_document(self, doc_id: str, text: str, metadata: dict) -> int:
-        """Insert a single document and return its integer ID.
-
-        Args:
-            doc_id (str): The document ID (UUID string).
-            text (str): The document text.
-            metadata (dict): The document metadata.
-
-        Returns:
-            int: The integer ID of the inserted document.
-
-        """
-        assert self.engine is not None, "Database connection is not initialized."
-
-        async with self.get_session() as session, session.begin():
-            document = Document(
-                doc_id=doc_id,
-                text=text,
-                metadata_=json.dumps(metadata),
-                created_at=datetime.now(),
-                updated_at=datetime.now(),
-            )
-            session.add(document)
-            await session.flush()  # Flush to get the ID
-            return document.id  # type: ignore
-
-    async def insert_documents_batch(
-        self,
-        doc_ids: list[str],
-        texts: list[str],
-        metadatas: list[dict],
-    ) -> list[int]:
-        """Batch insert documents and return their integer IDs.
-
-        Args:
-            doc_ids (list[str]): List of document IDs (UUID strings).
-            texts (list[str]): List of document texts.
-            metadatas (list[dict]): List of document metadata.
-
-        Returns:
-            list[int]: List of integer IDs of the inserted documents.
-
-        """
-        assert self.engine is not None, "Database connection is not initialized."
-
-        async with self.get_session() as session, session.begin():
-            import json
-
-            documents = []
-            for doc_id, text, metadata in zip(doc_ids, texts, metadatas):
-                document = Document(
-                    doc_id=doc_id,
-                    text=text,
-                    metadata_=json.dumps(metadata),
-                    created_at=datetime.now(),
-                    updated_at=datetime.now(),
-                )
-                documents.append(document)
-                session.add(document)
-
-            await session.flush()  # Flush to get all IDs
-            return [doc.id for doc in documents]  # type: ignore
-
-    async def delete_document_by_doc_id(self, doc_id: str):
-        """Delete a document by its doc_id.
-
-        Args:
-            doc_id (str): The doc_id of the document to delete.
-
-        """
-        assert self.engine is not None, "Database connection is not initialized."
-
-        async with self.get_session() as session, session.begin():
-            query = select(Document).where(col(Document.doc_id) == doc_id)
-            result = await session.execute(query)
-            document = result.scalar_one_or_none()
-
-            if document:
-                await session.delete(document)
+        result = []
+        async with self.connection.cursor() as cursor:
+            sql = "SELECT * FROM documents WHERE " + where_sql
+            await cursor.execute(sql, values)
+            for row in await cursor.fetchall():
+                result.append(await self.tuple_to_dict(row))
+        return result
 
     async def get_document_by_doc_id(self, doc_id: str):
         """Retrieve a document by its doc_id.
@@ -235,134 +62,40 @@ class DocumentStorage:
             doc_id (str): The doc_id of the document to retrieve.
 
         Returns:
-            dict: The document data or None if not found.
-
+            dict: The document data.
         """
-        assert self.engine is not None, "Database connection is not initialized."
-
-        async with self.get_session() as session:
-            query = select(Document).where(col(Document.doc_id) == doc_id)
-            result = await session.execute(query)
-            document = result.scalar_one_or_none()
-
-            if document:
-                return self._document_to_dict(document)
-            return None
+        async with self.connection.cursor() as cursor:
+            await cursor.execute("SELECT * FROM documents WHERE doc_id = ?", (doc_id,))
+            row = await cursor.fetchone()
+            if row:
+                return await self.tuple_to_dict(row)
+            else:
+                return None
 
     async def update_document_by_doc_id(self, doc_id: str, new_text: str):
-        """Update a document by its doc_id.
+        """Retrieve a document by its doc_id.
 
         Args:
             doc_id (str): The doc_id.
             new_text (str): The new text to update the document with.
-
         """
-        assert self.engine is not None, "Database connection is not initialized."
-
-        async with self.get_session() as session, session.begin():
-            query = select(Document).where(col(Document.doc_id) == doc_id)
-            result = await session.execute(query)
-            document = result.scalar_one_or_none()
-
-            if document:
-                document.text = new_text
-                document.updated_at = datetime.now()
-                session.add(document)
-
-    async def delete_documents(self, metadata_filters: dict):
-        """Delete documents by their metadata filters.
-
-        Args:
-            metadata_filters (dict): The metadata filters to apply.
-
-        """
-        if self.engine is None:
-            logger.warning(
-                "Database connection is not initialized, skipping delete operation",
+        async with self.connection.cursor() as cursor:
+            await cursor.execute(
+                "UPDATE documents SET text = ? WHERE doc_id = ?", (new_text, doc_id)
             )
-            return
-
-        async with self.get_session() as session, session.begin():
-            query = select(Document)
-
-            for key, val in metadata_filters.items():
-                query = query.where(
-                    text(f"json_extract(metadata, '$.{key}') = :filter_{key}"),
-                ).params(**{f"filter_{key}": val})
-
-            result = await session.execute(query)
-            documents = result.scalars().all()
-
-            for doc in documents:
-                await session.delete(doc)
-
-    async def count_documents(self, metadata_filters: dict | None = None) -> int:
-        """Count documents in the database.
-
-        Args:
-            metadata_filters (dict | None): Metadata filters to apply.
-
-        Returns:
-            int: The count of documents.
-
-        """
-        if self.engine is None:
-            logger.warning("Database connection is not initialized, returning 0")
-            return 0
-
-        async with self.get_session() as session:
-            query = select(func.count(col(Document.id)))
-
-            if metadata_filters:
-                for key, val in metadata_filters.items():
-                    query = query.where(
-                        text(f"json_extract(metadata, '$.{key}') = :filter_{key}"),
-                    ).params(**{f"filter_{key}": val})
-
-            result = await session.execute(query)
-            count = result.scalar_one_or_none()
-            return count if count is not None else 0
+            await self.connection.commit()
 
     async def get_user_ids(self) -> list[str]:
         """Retrieve all user IDs from the documents table.
 
         Returns:
             list: A list of user IDs.
-
         """
-        assert self.engine is not None, "Database connection is not initialized."
-
-        async with self.get_session() as session:
-            query = text(
-                "SELECT DISTINCT user_id FROM documents WHERE user_id IS NOT NULL",
-            )
-            result = await session.execute(query)
-            rows = result.fetchall()
+        async with self.connection.cursor() as cursor:
+            await cursor.execute("SELECT DISTINCT user_id FROM documents")
+            rows = await cursor.fetchall()
             return [row[0] for row in rows]
 
-    def _document_to_dict(self, document: Document) -> dict:
-        """Convert a Document model to a dictionary.
-
-        Args:
-            document (Document): The document to convert.
-
-        Returns:
-            dict: The converted dictionary.
-
-        """
-        return {
-            "id": document.id,
-            "doc_id": document.doc_id,
-            "text": document.text,
-            "metadata": document.metadata_,
-            "created_at": document.created_at.isoformat()
-            if isinstance(document.created_at, datetime)
-            else document.created_at,
-            "updated_at": document.updated_at.isoformat()
-            if isinstance(document.updated_at, datetime)
-            else document.updated_at,
-        }
-
     async def tuple_to_dict(self, row):
         """Convert a tuple to a dictionary.
 
@@ -371,9 +104,6 @@ class DocumentStorage:
 
         Returns:
             dict: The converted dictionary.
-
-        Note: This method is kept for backward compatibility but is no longer used internally.
-
         """
         return {
             "id": row[0],
@@ -386,7 +116,6 @@ class DocumentStorage:
 
     async def close(self):
         """Close the connection to the SQLite database."""
-        if self.engine:
-            await self.engine.dispose()
-            self.engine = None
-            self.async_session_maker = None
+        if self.connection:
+            await self.connection.close()
+            self.connection = None

astrbot/core/db/vec_db/faiss_impl/embedding_storage.py

@@ -2,15 +2,14 @@ try:
     import faiss
 except ModuleNotFoundError:
     raise ImportError(
-        "faiss 未安装。请使用 'pip install faiss-cpu' 或 'pip install faiss-gpu' 安装。",
+        "faiss 未安装。请使用 'pip install faiss-cpu' 或 'pip install faiss-gpu' 安装。"
     )
 import os
-
 import numpy as np
 
 
 class EmbeddingStorage:
-    def __init__(self, dimension: int, path: str | None = None):
+    def __init__(self, dimension: int, path: str = None):
         self.dimension = dimension
         self.path = path
         self.index = None
@@ -19,6 +18,7 @@ class EmbeddingStorage:
         else:
             base_index = faiss.IndexFlatL2(dimension)
             self.index = faiss.IndexIDMap(base_index)
+        self.storage = {}
 
     async def insert(self, vector: np.ndarray, id: int):
         """插入向量
@@ -28,32 +28,13 @@ class EmbeddingStorage:
             id (int): 向量的ID
         Raises:
             ValueError: 如果向量的维度与存储的维度不匹配
-
         """
-        assert self.index is not None, "FAISS index is not initialized."
         if vector.shape[0] != self.dimension:
             raise ValueError(
-                f"向量维度不匹配, 期望: {self.dimension}, 实际: {vector.shape[0]}",
+                f"向量维度不匹配, 期望: {self.dimension}, 实际: {vector.shape[0]}"
             )
         self.index.add_with_ids(vector.reshape(1, -1), np.array([id]))
-        await self.save_index()
-
-    async def insert_batch(self, vectors: np.ndarray, ids: list[int]):
-        """批量插入向量
-
-        Args:
-            vectors (np.ndarray): 要插入的向量数组
-            ids (list[int]): 向量的ID列表
-        Raises:
-            ValueError: 如果向量的维度与存储的维度不匹配
-
-        """
-        assert self.index is not None, "FAISS index is not initialized."
-        if vectors.shape[1] != self.dimension:
-            raise ValueError(
-                f"向量维度不匹配, 期望: {self.dimension}, 实际: {vectors.shape[1]}",
-            )
-        self.index.add_with_ids(vectors, np.array(ids))
+        self.storage[id] = vector
         await self.save_index()
 
     async def search(self, vector: np.ndarray, k: int) -> tuple:
@@ -64,30 +45,15 @@ class EmbeddingStorage:
             k (int): 返回的最相似向量的数量
         Returns:
             tuple: (距离, 索引)
-
         """
-        assert self.index is not None, "FAISS index is not initialized."
         faiss.normalize_L2(vector)
         distances, indices = self.index.search(vector, k)
         return distances, indices
 
-    async def delete(self, ids: list[int]):
-        """删除向量
-
-        Args:
-            ids (list[int]): 要删除的向量ID列表
-
-        """
-        assert self.index is not None, "FAISS index is not initialized."
-        id_array = np.array(ids, dtype=np.int64)
-        self.index.remove_ids(id_array)
-        await self.save_index()
-
     async def save_index(self):
         """保存索引
 
         Args:
             path (str): 保存索引的路径
-
         """
         faiss.write_index(self.index, self.path)

astrbot/core/db/vec_db/faiss_impl/vec_db.py

@@ -1,18 +1,17 @@
-import time
 import uuid
-
+import json
 import numpy as np
-
-from astrbot import logger
-from astrbot.core.provider.provider import EmbeddingProvider, RerankProvider
-
-from ..base import BaseVecDB, Result
 from .document_storage import DocumentStorage
 from .embedding_storage import EmbeddingStorage
+from ..base import Result, BaseVecDB
+from astrbot.core.provider.provider import EmbeddingProvider
+from astrbot.core.provider.provider import RerankProvider
 
 
 class FaissVecDB(BaseVecDB):
-    """A class to represent a vector database."""
+    """
+    A class to represent a vector database.
+    """
 
     def __init__(
         self,
@@ -26,8 +25,7 @@ class FaissVecDB(BaseVecDB):
         self.embedding_provider = embedding_provider
         self.document_storage = DocumentStorage(doc_store_path)
         self.embedding_storage = EmbeddingStorage(
-            embedding_provider.get_dim(),
-            index_store_path,
+            embedding_provider.get_dim(), index_store_path
         )
         self.embedding_provider = embedding_provider
         self.rerank_provider = rerank_provider
@@ -36,69 +34,28 @@ class FaissVecDB(BaseVecDB):
         await self.document_storage.initialize()
 
     async def insert(
-        self,
-        content: str,
-        metadata: dict | None = None,
-        id: str | None = None,
+        self, content: str, metadata: dict | None = None, id: str | None = None
     ) -> int:
-        """插入一条文本和其对应向量，自动生成 ID 并保持一致性。"""
+        """
+        插入一条文本和其对应向量，自动生成 ID 并保持一致性。
+        """
         metadata = metadata or {}
         str_id = id or str(uuid.uuid4())  # 使用 UUID 作为原始 ID
 
         vector = await self.embedding_provider.get_embedding(content)
         vector = np.array(vector, dtype=np.float32)
+        async with self.document_storage.connection.cursor() as cursor:
+            await cursor.execute(
+                "INSERT INTO documents (doc_id, text, metadata) VALUES (?, ?, ?)",
+                (str_id, content, json.dumps(metadata)),
+            )
+            await self.document_storage.connection.commit()
+            result = await self.document_storage.get_document_by_doc_id(str_id)
+            int_id = result["id"]
 
-        # 使用 DocumentStorage 的方法插入文档
-        int_id = await self.document_storage.insert_document(str_id, content, metadata)
-
-        # 插入向量到 FAISS
-        await self.embedding_storage.insert(vector, int_id)
-        return int_id
-
-    async def insert_batch(
-        self,
-        contents: list[str],
-        metadatas: list[dict] | None = None,
-        ids: list[str] | None = None,
-        batch_size: int = 32,
-        tasks_limit: int = 3,
-        max_retries: int = 3,
-        progress_callback=None,
-    ) -> list[int]:
-        """批量插入文本和其对应向量，自动生成 ID 并保持一致性。
-
-        Args:
-            progress_callback: 进度回调函数，接收参数 (current, total)
-
-        """
-        metadatas = metadatas or [{} for _ in contents]
-        ids = ids or [str(uuid.uuid4()) for _ in contents]
-
-        start = time.time()
-        logger.debug(f"Generating embeddings for {len(contents)} contents...")
-        vectors = await self.embedding_provider.get_embeddings_batch(
-            contents,
-            batch_size=batch_size,
-            tasks_limit=tasks_limit,
-            max_retries=max_retries,
-            progress_callback=progress_callback,
-        )
-        end = time.time()
-        logger.debug(
-            f"Generated embeddings for {len(contents)} contents in {end - start:.2f} seconds.",
-        )
-
-        # 使用 DocumentStorage 的批量插入方法
-        int_ids = await self.document_storage.insert_documents_batch(
-            ids,
-            contents,
-            metadatas,
-        )
-
-        # 批量插入向量到 FAISS
-        vectors_array = np.array(vectors).astype("float32")
-        await self.embedding_storage.insert_batch(vectors_array, int_ids)
-        return int_ids
+            # 插入向量到 FAISS
+            await self.embedding_storage.insert(vector, int_id)
+            return int_id
 
     async def retrieve(
         self,
@@ -108,7 +65,8 @@ class FaissVecDB(BaseVecDB):
         rerank: bool = False,
         metadata_filters: dict | None = None,
     ) -> list[Result]:
-        """搜索最相似的文档。
+        """
+        搜索最相似的文档。
 
         Args:
             query (str): 查询文本
@@ -119,7 +77,6 @@ class FaissVecDB(BaseVecDB):
 
         Returns:
             List[Result]: 查询结果
-
         """
         embedding = await self.embedding_provider.get_embedding(query)
         scores, indices = await self.embedding_storage.search(
@@ -132,8 +89,7 @@ class FaissVecDB(BaseVecDB):
         scores[0] = 1.0 - (scores[0] / 2.0)
         # NOTE: maybe the size is less than k.
         fetched_docs = await self.document_storage.get_documents(
-            metadata_filters=metadata_filters or {},
-            ids=indices[0],
+            metadata_filters=metadata_filters or {}, ids=indices[0]
         )
         if not fetched_docs:
             return []
@@ -154,51 +110,31 @@ class FaissVecDB(BaseVecDB):
             documents = [doc.data["text"] for doc in top_k_results]
             reranked_results = await self.rerank_provider.rerank(query, documents)
             reranked_results = sorted(
-                reranked_results,
-                key=lambda x: x.relevance_score,
-                reverse=True,
+                reranked_results, key=lambda x: x.relevance_score, reverse=True
             )
             top_k_results = [
-                top_k_results[reranked_result.index]
-                for reranked_result in reranked_results
+                top_k_results[reranked_result.index] for reranked_result in reranked_results
             ]
 
         return top_k_results
 
-    async def delete(self, doc_id: str):
-        """删除一条文档块（chunk）"""
-        # 获得对应的 int id
-        result = await self.document_storage.get_document_by_doc_id(doc_id)
-        int_id = result["id"] if result else None
-        if int_id is None:
-            return
-
-        # 使用 DocumentStorage 的删除方法
-        await self.document_storage.delete_document_by_doc_id(doc_id)
-        await self.embedding_storage.delete([int_id])
+    async def delete(self, doc_id: int):
+        """
+        删除一条文档
+        """
+        await self.document_storage.connection.execute(
+            "DELETE FROM documents WHERE doc_id = ?", (doc_id,)
+        )
+        await self.document_storage.connection.commit()
 
     async def close(self):
         await self.document_storage.close()
 
-    async def count_documents(self, metadata_filter: dict | None = None) -> int:
-        """计算文档数量
-
-        Args:
-            metadata_filter (dict | None): 元数据过滤器
-
+    async def count_documents(self) -> int:
         """
-        count = await self.document_storage.count_documents(
-            metadata_filters=metadata_filter or {},
-        )
-        return count
-
-    async def delete_documents(self, metadata_filters: dict):
-        """根据元数据过滤器删除文档"""
-        docs = await self.document_storage.get_documents(
-            metadata_filters=metadata_filters,
-            offset=None,
-            limit=None,
-        )
-        doc_ids: list[int] = [doc["id"] for doc in docs]
-        await self.embedding_storage.delete(doc_ids)
-        await self.document_storage.delete_documents(metadata_filters=metadata_filters)
+        计算文档数量
+        """
+        async with self.document_storage.connection.cursor() as cursor:
+            await cursor.execute("SELECT COUNT(*) FROM documents")
+            count = await cursor.fetchone()
+            return count[0] if count else 0

astrbot/core/event_bus.py

@@ -1,4 +1,5 @@
-"""事件总线, 用于处理事件的分发和处理
+"""
+事件总线, 用于处理事件的分发和处理
 事件总线是一个异步队列, 用于接收各种消息事件, 并将其发送到Scheduler调度器进行处理
 其中包含了一个无限循环的调度函数, 用于从事件队列中获取新的事件, 并创建一个新的异步任务来执行管道调度器的处理逻辑
 
@@ -12,12 +13,10 @@ class:
 
 import asyncio
 from asyncio import Queue
-
-from astrbot.core import logger
-from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
 from astrbot.core.pipeline.scheduler import PipelineScheduler
-
+from astrbot.core import logger
 from .platform import AstrMessageEvent
+from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
 
 
 class EventBus:
@@ -47,15 +46,14 @@ class EventBus:
 
         Args:
             event (AstrMessageEvent): 事件对象
-
         """
         # 如果有发送者名称: [平台名] 发送者名称/发送者ID: 消息概要
         if event.get_sender_name():
             logger.info(
-                f"[{conf_name}] [{event.get_platform_id()}({event.get_platform_name()})] {event.get_sender_name()}/{event.get_sender_id()}: {event.get_message_outline()}",
+                f"[{conf_name}] [{event.get_platform_id()}({event.get_platform_name()})] {event.get_sender_name()}/{event.get_sender_id()}: {event.get_message_outline()}"
             )
         # 没有发送者名称: [平台名] 发送者ID: 消息概要
         else:
             logger.info(
-                f"[{conf_name}] [{event.get_platform_id()}({event.get_platform_name()})] {event.get_sender_id()}: {event.get_message_outline()}",
+                f"[{conf_name}] [{event.get_platform_id()}({event.get_platform_name()})] {event.get_sender_id()}: {event.get_message_outline()}"
             )

astrbot/core/file_token_service.py

@@ -1,9 +1,9 @@
 import asyncio
 import os
-import platform
-import time
 import uuid
-from urllib.parse import unquote, urlparse
+import time
+from urllib.parse import urlparse, unquote
+import platform
 
 
 class FileTokenService:
@@ -23,12 +23,7 @@ class FileTokenService:
         for token in expired_tokens:
             self.staged_files.pop(token, None)
 
-    async def check_token_expired(self, file_token: str) -> bool:
-        async with self.lock:
-            await self._cleanup_expired_tokens()
-            return file_token not in self.staged_files
-
-    async def register_file(self, file_path: str, timeout: float | None = None) -> str:
+    async def register_file(self, file_path: str, timeout: float = None) -> str:
         """向令牌服务注册一个文件。
 
         Args:
@@ -40,8 +35,8 @@ class FileTokenService:
 
         Raises:
             FileNotFoundError: 当路径不存在时抛出
-
         """
+
         # 处理 file:///
         try:
             parsed_uri = urlparse(file_path)
@@ -61,7 +56,7 @@ class FileTokenService:
 
             if not os.path.exists(local_path):
                 raise FileNotFoundError(
-                    f"文件不存在: {local_path} (原始输入: {file_path})",
+                    f"文件不存在: {local_path} (原始输入: {file_path})"
                 )
 
             file_token = str(uuid.uuid4())
@@ -84,7 +79,6 @@ class FileTokenService:
         Raises:
             KeyError: 当令牌不存在或已过期时抛出
             FileNotFoundError: 当文件本身已被删除时抛出
-
         """
         async with self.lock:
             await self._cleanup_expired_tokens()

astrbot/core/initial_loader.py

@@ -1,4 +1,5 @@
-"""AstrBot 启动器，负责初始化和启动核心组件和仪表板服务器。
+"""
+AstrBot 启动器，负责初始化和启动核心组件和仪表板服务器。
 
 工作流程:
 1. 初始化核心生命周期, 传递数据库和日志代理实例到核心生命周期
@@ -7,10 +8,10 @@
 
 import asyncio
 import traceback
-
-from astrbot.core import LogBroker, logger
+from astrbot.core import logger
 from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
 from astrbot.core.db import BaseDatabase
+from astrbot.core import LogBroker
 from astrbot.dashboard.server import AstrBotDashboard
 
 
@@ -21,7 +22,6 @@ class InitialLoader:
         self.db = db
         self.logger = logger
         self.log_broker = log_broker
-        self.webui_dir: str | None = None
 
     async def start(self):
         core_lifecycle = AstrBotCoreLifecycle(self.log_broker, self.db)
@@ -35,21 +35,13 @@ class InitialLoader:
 
         core_task = core_lifecycle.start()
 
-        webui_dir = self.webui_dir
-
         self.dashboard_server = AstrBotDashboard(
-            core_lifecycle,
-            self.db,
-            core_lifecycle.dashboard_shutdown_event,
-            webui_dir,
+            core_lifecycle, self.db, core_lifecycle.dashboard_shutdown_event
         )
+        task = asyncio.gather(
+            core_task, self.dashboard_server.run()
+        )  # 启动核心任务和仪表板服务器
 
-        coro = self.dashboard_server.run()
-        if coro:
-            # 启动核心任务和仪表板服务器
-            task = asyncio.gather(core_task, coro)
-        else:
-            task = core_task
         try:
             await task  # 整个AstrBot在这里运行
         except asyncio.CancelledError:

astrbot/core/knowledge_base/chunking/__init__.py

@@ -1,9 +0,0 @@
-"""文档分块模块"""
-
-from .base import BaseChunker
-from .fixed_size import FixedSizeChunker
-
-__all__ = [
-    "BaseChunker",
-    "FixedSizeChunker",
-]

astrbot/core/knowledge_base/chunking/base.py

@@ -1,25 +0,0 @@
-"""文档分块器基类
-
-定义了文档分块处理的抽象接口。
-"""
-
-from abc import ABC, abstractmethod
-
-
-class BaseChunker(ABC):
-    """分块器基类
-
-    所有分块器都应该继承此类并实现 chunk 方法。
-    """
-
-    @abstractmethod
-    async def chunk(self, text: str, **kwargs) -> list[str]:
-        """将文本分块
-
-        Args:
-            text: 输入文本
-
-        Returns:
-            list[str]: 分块后的文本列表
-
-        """

astrbot/core/knowledge_base/chunking/fixed_size.py

@@ -1,59 +0,0 @@
-"""固定大小分块器
-
-按照固定的字符数将文本分块,支持重叠区域。
-"""
-
-from .base import BaseChunker
-
-
-class FixedSizeChunker(BaseChunker):
-    """固定大小分块器
-
-    按照固定的字符数分块,并支持块之间的重叠。
-    """
-
-    def __init__(self, chunk_size: int = 512, chunk_overlap: int = 50):
-        """初始化分块器
-
-        Args:
-            chunk_size: 块的大小(字符数)
-            chunk_overlap: 块之间的重叠字符数
-
-        """
-        self.chunk_size = chunk_size
-        self.chunk_overlap = chunk_overlap
-
-    async def chunk(self, text: str, **kwargs) -> list[str]:
-        """固定大小分块
-
-        Args:
-            text: 输入文本
-            chunk_size: 每个文本块的最大大小
-            chunk_overlap: 每个文本块之间的重叠部分大小
-
-        Returns:
-            list[str]: 分块后的文本列表
-
-        """
-        chunk_size = kwargs.get("chunk_size", self.chunk_size)
-        chunk_overlap = kwargs.get("chunk_overlap", self.chunk_overlap)
-
-        chunks = []
-        start = 0
-        text_len = len(text)
-
-        while start < text_len:
-            end = start + chunk_size
-            chunk = text[start:end]
-
-            if chunk:
-                chunks.append(chunk)
-
-            # 移动窗口,保留重叠部分
-            start = end - chunk_overlap
-
-            # 防止无限循环: 如果重叠过大,直接移到end
-            if start >= end or chunk_overlap >= chunk_size:
-                start = end
-
-        return chunks

astrbot/core/knowledge_base/chunking/recursive.py

@@ -1,161 +0,0 @@
-from collections.abc import Callable
-
-from .base import BaseChunker
-
-
-class RecursiveCharacterChunker(BaseChunker):
-    def __init__(
-        self,
-        chunk_size: int = 500,
-        chunk_overlap: int = 100,
-        length_function: Callable[[str], int] = len,
-        is_separator_regex: bool = False,
-        separators: list[str] | None = None,
-    ):
-        """初始化递归字符文本分割器
-
-        Args:
-            chunk_size: 每个文本块的最大大小
-            chunk_overlap: 每个文本块之间的重叠部分大小
-            length_function: 计算文本长度的函数
-            is_separator_regex: 分隔符是否为正则表达式
-            separators: 用于分割文本的分隔符列表，按优先级排序
-
-        """
-        self.chunk_size = chunk_size
-        self.chunk_overlap = chunk_overlap
-        self.length_function = length_function
-        self.is_separator_regex = is_separator_regex
-
-        # 默认分隔符列表，按优先级从高到低
-        self.separators = separators or [
-            "\n\n",  # 段落
-            "\n",  # 换行
-            "。",  # 中文句子
-            "，",  # 中文逗号
-            ". ",  # 句子
-            ", ",  # 逗号分隔
-            " ",  # 单词
-            "",  # 字符
-        ]
-
-    async def chunk(self, text: str, **kwargs) -> list[str]:
-        """递归地将文本分割成块
-
-        Args:
-            text: 要分割的文本
-            chunk_size: 每个文本块的最大大小
-            chunk_overlap: 每个文本块之间的重叠部分大小
-
-        Returns:
-            分割后的文本块列表
-
-        """
-        if not text:
-            return []
-
-        overlap = kwargs.get("chunk_overlap", self.chunk_overlap)
-        chunk_size = kwargs.get("chunk_size", self.chunk_size)
-
-        text_length = self.length_function(text)
-        if text_length <= chunk_size:
-            return [text]
-
-        for separator in self.separators:
-            if separator == "":
-                return self._split_by_character(text, chunk_size, overlap)
-
-            if separator in text:
-                splits = text.split(separator)
-                # 重新添加分隔符（除了最后一个片段）
-                splits = [s + separator for s in splits[:-1]] + [splits[-1]]
-                splits = [s for s in splits if s]
-                if len(splits) == 1:
-                    continue
-
-                # 递归合并分割后的文本块
-                final_chunks = []
-                current_chunk = []
-                current_chunk_length = 0
-
-                for split in splits:
-                    split_length = self.length_function(split)
-
-                    # 如果单个分割部分已经超过了chunk_size，需要递归分割
-                    if split_length > chunk_size:
-                        # 先处理当前积累的块
-                        if current_chunk:
-                            combined_text = "".join(current_chunk)
-                            final_chunks.extend(
-                                await self.chunk(
-                                    combined_text,
-                                    chunk_size=chunk_size,
-                                    chunk_overlap=overlap,
-                                ),
-                            )
-                            current_chunk = []
-                            current_chunk_length = 0
-
-                        # 递归分割过大的部分
-                        final_chunks.extend(
-                            await self.chunk(
-                                split,
-                                chunk_size=chunk_size,
-                                chunk_overlap=overlap,
-                            ),
-                        )
-                    # 如果添加这部分会使当前块超过chunk_size
-                    elif current_chunk_length + split_length > chunk_size:
-                        # 合并当前块并添加到结果中
-                        combined_text = "".join(current_chunk)
-                        final_chunks.append(combined_text)
-
-                        # 处理重叠部分
-                        overlap_start = max(0, len(combined_text) - overlap)
-                        if overlap_start > 0:
-                            overlap_text = combined_text[overlap_start:]
-                            current_chunk = [overlap_text, split]
-                            current_chunk_length = (
-                                self.length_function(overlap_text) + split_length
-                            )
-                        else:
-                            current_chunk = [split]
-                            current_chunk_length = split_length
-                    else:
-                        # 添加到当前块
-                        current_chunk.append(split)
-                        current_chunk_length += split_length
-
-                # 处理剩余的块
-                if current_chunk:
-                    final_chunks.append("".join(current_chunk))
-
-                return final_chunks
-
-        return [text]
-
-    def _split_by_character(
-        self,
-        text: str,
-        chunk_size: int | None = None,
-        overlap: int | None = None,
-    ) -> list[str]:
-        """按字符级别分割文本
-
-        Args:
-            text: 要分割的文本
-
-        Returns:
-            分割后的文本块列表
-
-        """
-        chunk_size = chunk_size or self.chunk_size
-        overlap = overlap or self.chunk_overlap
-        result = []
-        for i in range(0, len(text), chunk_size - overlap):
-            end = min(i + chunk_size, len(text))
-            result.append(text[i:end])
-            if end == len(text):
-                break
-
-        return result

astrbot/core/knowledge_base/kb_db_sqlite.py

@@ -1,301 +0,0 @@
-from contextlib import asynccontextmanager
-from pathlib import Path
-
-from sqlalchemy import delete, func, select, text, update
-from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine
-from sqlmodel import col, desc
-
-from astrbot.core import logger
-from astrbot.core.db.vec_db.faiss_impl import FaissVecDB
-from astrbot.core.knowledge_base.models import (
-    BaseKBModel,
-    KBDocument,
-    KBMedia,
-    KnowledgeBase,
-)
-
-
-class KBSQLiteDatabase:
-    def __init__(self, db_path: str = "data/knowledge_base/kb.db") -> None:
-        """初始化知识库数据库
-
-        Args:
-            db_path: 数据库文件路径, 默认为 data/knowledge_base/kb.db
-
-        """
-        self.db_path = db_path
-        self.DATABASE_URL = f"sqlite+aiosqlite:///{db_path}"
-        self.inited = False
-
-        # 确保目录存在
-        Path(db_path).parent.mkdir(parents=True, exist_ok=True)
-
-        # 创建异步引擎
-        self.engine = create_async_engine(
-            self.DATABASE_URL,
-            echo=False,
-            pool_pre_ping=True,
-            pool_recycle=3600,
-        )
-
-        # 创建会话工厂
-        self.async_session = async_sessionmaker(
-            self.engine,
-            class_=AsyncSession,
-            expire_on_commit=False,
-        )
-
-    @asynccontextmanager
-    async def get_db(self):
-        """获取数据库会话
-
-        用法:
-            async with kb_db.get_db() as session:
-                # 执行数据库操作
-                result = await session.execute(stmt)
-        """
-        async with self.async_session() as session:
-            yield session
-
-    async def initialize(self) -> None:
-        """初始化数据库,创建表并配置 SQLite 参数"""
-        async with self.engine.begin() as conn:
-            # 创建所有知识库相关表
-            await conn.run_sync(BaseKBModel.metadata.create_all)
-
-            # 配置 SQLite 性能优化参数
-            await conn.execute(text("PRAGMA journal_mode=WAL"))
-            await conn.execute(text("PRAGMA synchronous=NORMAL"))
-            await conn.execute(text("PRAGMA cache_size=20000"))
-            await conn.execute(text("PRAGMA temp_store=MEMORY"))
-            await conn.execute(text("PRAGMA mmap_size=134217728"))
-            await conn.execute(text("PRAGMA optimize"))
-            await conn.commit()
-
-        self.inited = True
-
-    async def migrate_to_v1(self) -> None:
-        """执行知识库数据库 v1 迁移
-
-        创建所有必要的索引以优化查询性能
-        """
-        async with self.get_db() as session:
-            session: AsyncSession
-            async with session.begin():
-                # 创建知识库表索引
-                await session.execute(
-                    text(
-                        "CREATE INDEX IF NOT EXISTS idx_kb_kb_id "
-                        "ON knowledge_bases(kb_id)",
-                    ),
-                )
-                await session.execute(
-                    text(
-                        "CREATE INDEX IF NOT EXISTS idx_kb_name "
-                        "ON knowledge_bases(kb_name)",
-                    ),
-                )
-                await session.execute(
-                    text(
-                        "CREATE INDEX IF NOT EXISTS idx_kb_created_at "
-                        "ON knowledge_bases(created_at)",
-                    ),
-                )
-
-                # 创建文档表索引
-                await session.execute(
-                    text(
-                        "CREATE INDEX IF NOT EXISTS idx_doc_doc_id "
-                        "ON kb_documents(doc_id)",
-                    ),
-                )
-                await session.execute(
-                    text(
-                        "CREATE INDEX IF NOT EXISTS idx_doc_kb_id "
-                        "ON kb_documents(kb_id)",
-                    ),
-                )
-                await session.execute(
-                    text(
-                        "CREATE INDEX IF NOT EXISTS idx_doc_name "
-                        "ON kb_documents(doc_name)",
-                    ),
-                )
-                await session.execute(
-                    text(
-                        "CREATE INDEX IF NOT EXISTS idx_doc_type "
-                        "ON kb_documents(file_type)",
-                    ),
-                )
-                await session.execute(
-                    text(
-                        "CREATE INDEX IF NOT EXISTS idx_doc_created_at "
-                        "ON kb_documents(created_at)",
-                    ),
-                )
-
-                # 创建多媒体表索引
-                await session.execute(
-                    text(
-                        "CREATE INDEX IF NOT EXISTS idx_media_media_id "
-                        "ON kb_media(media_id)",
-                    ),
-                )
-                await session.execute(
-                    text(
-                        "CREATE INDEX IF NOT EXISTS idx_media_doc_id "
-                        "ON kb_media(doc_id)",
-                    ),
-                )
-                await session.execute(
-                    text(
-                        "CREATE INDEX IF NOT EXISTS idx_media_kb_id ON kb_media(kb_id)",
-                    ),
-                )
-                await session.execute(
-                    text(
-                        "CREATE INDEX IF NOT EXISTS idx_media_type "
-                        "ON kb_media(media_type)",
-                    ),
-                )
-
-                await session.commit()
-
-    async def close(self) -> None:
-        """关闭数据库连接"""
-        await self.engine.dispose()
-        logger.info(f"知识库数据库已关闭: {self.db_path}")
-
-    async def get_kb_by_id(self, kb_id: str) -> KnowledgeBase | None:
-        """根据 ID 获取知识库"""
-        async with self.get_db() as session:
-            stmt = select(KnowledgeBase).where(col(KnowledgeBase.kb_id) == kb_id)
-            result = await session.execute(stmt)
-            return result.scalar_one_or_none()
-
-    async def get_kb_by_name(self, kb_name: str) -> KnowledgeBase | None:
-        """根据名称获取知识库"""
-        async with self.get_db() as session:
-            stmt = select(KnowledgeBase).where(col(KnowledgeBase.kb_name) == kb_name)
-            result = await session.execute(stmt)
-            return result.scalar_one_or_none()
-
-    async def list_kbs(self, offset: int = 0, limit: int = 100) -> list[KnowledgeBase]:
-        """列出所有知识库"""
-        async with self.get_db() as session:
-            stmt = (
-                select(KnowledgeBase)
-                .offset(offset)
-                .limit(limit)
-                .order_by(desc(KnowledgeBase.created_at))
-            )
-            result = await session.execute(stmt)
-            return list(result.scalars().all())
-
-    async def count_kbs(self) -> int:
-        """统计知识库数量"""
-        async with self.get_db() as session:
-            stmt = select(func.count(col(KnowledgeBase.id)))
-            result = await session.execute(stmt)
-            return result.scalar() or 0
-
-    # ===== 文档查询 =====
-
-    async def get_document_by_id(self, doc_id: str) -> KBDocument | None:
-        """根据 ID 获取文档"""
-        async with self.get_db() as session:
-            stmt = select(KBDocument).where(col(KBDocument.doc_id) == doc_id)
-            result = await session.execute(stmt)
-            return result.scalar_one_or_none()
-
-    async def list_documents_by_kb(
-        self,
-        kb_id: str,
-        offset: int = 0,
-        limit: int = 100,
-    ) -> list[KBDocument]:
-        """列出知识库的所有文档"""
-        async with self.get_db() as session:
-            stmt = (
-                select(KBDocument)
-                .where(col(KBDocument.kb_id) == kb_id)
-                .offset(offset)
-                .limit(limit)
-                .order_by(desc(KBDocument.created_at))
-            )
-            result = await session.execute(stmt)
-            return list(result.scalars().all())
-
-    async def count_documents_by_kb(self, kb_id: str) -> int:
-        """统计知识库的文档数量"""
-        async with self.get_db() as session:
-            stmt = select(func.count(col(KBDocument.id))).where(
-                col(KBDocument.kb_id) == kb_id,
-            )
-            result = await session.execute(stmt)
-            return result.scalar() or 0
-
-    async def get_document_with_metadata(self, doc_id: str) -> dict | None:
-        async with self.get_db() as session:
-            stmt = (
-                select(KBDocument, KnowledgeBase)
-                .join(KnowledgeBase, col(KBDocument.kb_id) == col(KnowledgeBase.kb_id))
-                .where(col(KBDocument.doc_id) == doc_id)
-            )
-            result = await session.execute(stmt)
-            row = result.first()
-
-            if not row:
-                return None
-
-            return {
-                "document": row[0],
-                "knowledge_base": row[1],
-            }
-
-    async def delete_document_by_id(self, doc_id: str, vec_db: FaissVecDB):
-        """删除单个文档及其相关数据"""
-        # 在知识库表中删除
-        async with self.get_db() as session, session.begin():
-            # 删除文档记录
-            delete_stmt = delete(KBDocument).where(col(KBDocument.doc_id) == doc_id)
-            await session.execute(delete_stmt)
-            await session.commit()
-
-        # 在 vec db 中删除相关向量
-        await vec_db.delete_documents(metadata_filters={"kb_doc_id": doc_id})
-
-    # ===== 多媒体查询 =====
-
-    async def list_media_by_doc(self, doc_id: str) -> list[KBMedia]:
-        """列出文档的所有多媒体资源"""
-        async with self.get_db() as session:
-            stmt = select(KBMedia).where(col(KBMedia.doc_id) == doc_id)
-            result = await session.execute(stmt)
-            return list(result.scalars().all())
-
-    async def get_media_by_id(self, media_id: str) -> KBMedia | None:
-        """根据 ID 获取多媒体资源"""
-        async with self.get_db() as session:
-            stmt = select(KBMedia).where(col(KBMedia.media_id) == media_id)
-            result = await session.execute(stmt)
-            return result.scalar_one_or_none()
-
-    async def update_kb_stats(self, kb_id: str, vec_db: FaissVecDB) -> None:
-        """更新知识库统计信息"""
-        chunk_cnt = await vec_db.count_documents()
-
-        async with self.get_db() as session, session.begin():
-            update_stmt = (
-                update(KnowledgeBase)
-                .where(col(KnowledgeBase.kb_id) == kb_id)
-                .values(
-                    doc_count=select(func.count(col(KBDocument.id)))
-                    .where(col(KBDocument.kb_id) == kb_id)
-                    .scalar_subquery(),
-                    chunk_count=chunk_cnt,
-                )
-            )
-
-            await session.execute(update_stmt)
-            await session.commit()

astrbot/core/knowledge_base/kb_helper.py

@@ -1,361 +0,0 @@
-import json
-import uuid
-from pathlib import Path
-
-import aiofiles
-
-from astrbot.core import logger
-from astrbot.core.db.vec_db.base import BaseVecDB
-from astrbot.core.db.vec_db.faiss_impl.vec_db import FaissVecDB
-from astrbot.core.provider.manager import ProviderManager
-from astrbot.core.provider.provider import EmbeddingProvider, RerankProvider
-
-from .chunking.base import BaseChunker
-from .kb_db_sqlite import KBSQLiteDatabase
-from .models import KBDocument, KBMedia, KnowledgeBase
-from .parsers.util import select_parser
-
-
-class KBHelper:
-    vec_db: BaseVecDB
-    kb: KnowledgeBase
-
-    def __init__(
-        self,
-        kb_db: KBSQLiteDatabase,
-        kb: KnowledgeBase,
-        provider_manager: ProviderManager,
-        kb_root_dir: str,
-        chunker: BaseChunker,
-    ):
-        self.kb_db = kb_db
-        self.kb = kb
-        self.prov_mgr = provider_manager
-        self.kb_root_dir = kb_root_dir
-        self.chunker = chunker
-
-        self.kb_dir = Path(self.kb_root_dir) / self.kb.kb_id
-        self.kb_medias_dir = Path(self.kb_dir) / "medias" / self.kb.kb_id
-        self.kb_files_dir = Path(self.kb_dir) / "files" / self.kb.kb_id
-
-        self.kb_medias_dir.mkdir(parents=True, exist_ok=True)
-        self.kb_files_dir.mkdir(parents=True, exist_ok=True)
-
-    async def initialize(self):
-        await self._ensure_vec_db()
-
-    async def get_ep(self) -> EmbeddingProvider:
-        if not self.kb.embedding_provider_id:
-            raise ValueError(f"知识库 {self.kb.kb_name} 未配置 Embedding Provider")
-        ep: EmbeddingProvider = await self.prov_mgr.get_provider_by_id(
-            self.kb.embedding_provider_id,
-        )  # type: ignore
-        if not ep:
-            raise ValueError(
-                f"无法找到 ID 为 {self.kb.embedding_provider_id} 的 Embedding Provider",
-            )
-        return ep
-
-    async def get_rp(self) -> RerankProvider | None:
-        if not self.kb.rerank_provider_id:
-            return None
-        rp: RerankProvider = await self.prov_mgr.get_provider_by_id(
-            self.kb.rerank_provider_id,
-        )  # type: ignore
-        if not rp:
-            raise ValueError(
-                f"无法找到 ID 为 {self.kb.rerank_provider_id} 的 Rerank Provider",
-            )
-        return rp
-
-    async def _ensure_vec_db(self) -> FaissVecDB:
-        if not self.kb.embedding_provider_id:
-            raise ValueError(f"知识库 {self.kb.kb_name} 未配置 Embedding Provider")
-
-        ep = await self.get_ep()
-        rp = await self.get_rp()
-
-        vec_db = FaissVecDB(
-            doc_store_path=str(self.kb_dir / "doc.db"),
-            index_store_path=str(self.kb_dir / "index.faiss"),
-            embedding_provider=ep,
-            rerank_provider=rp,
-        )
-        await vec_db.initialize()
-        self.vec_db = vec_db
-        return vec_db
-
-    async def delete_vec_db(self):
-        """删除知识库的向量数据库和所有相关文件"""
-        import shutil
-
-        await self.terminate()
-        if self.kb_dir.exists():
-            shutil.rmtree(self.kb_dir)
-
-    async def terminate(self):
-        if self.vec_db:
-            await self.vec_db.close()
-
-    async def upload_document(
-        self,
-        file_name: str,
-        file_content: bytes,
-        file_type: str,
-        chunk_size: int = 512,
-        chunk_overlap: int = 50,
-        batch_size: int = 32,
-        tasks_limit: int = 3,
-        max_retries: int = 3,
-        progress_callback=None,
-    ) -> KBDocument:
-        """上传并处理文档（带原子性保证和失败清理）
-
-        流程:
-        1. 保存原始文件
-        2. 解析文档内容
-        3. 提取多媒体资源
-        4. 分块处理
-        5. 生成向量并存储
-        6. 保存元数据（事务）
-        7. 更新统计
-
-        Args:
-            progress_callback: 进度回调函数，接收参数 (stage, current, total)
-                - stage: 当前阶段 ('parsing', 'chunking', 'embedding')
-                - current: 当前进度
-                - total: 总数
-
-        """
-        await self._ensure_vec_db()
-        doc_id = str(uuid.uuid4())
-        media_paths: list[Path] = []
-
-        # file_path = self.kb_files_dir / f"{doc_id}.{file_type}"
-        # async with aiofiles.open(file_path, "wb") as f:
-        #     await f.write(file_content)
-
-        try:
-            # 阶段1: 解析文档
-            if progress_callback:
-                await progress_callback("parsing", 0, 100)
-
-            parser = await select_parser(f".{file_type}")
-            parse_result = await parser.parse(file_content, file_name)
-            text_content = parse_result.text
-            media_items = parse_result.media
-
-            if progress_callback:
-                await progress_callback("parsing", 100, 100)
-
-            # 保存媒体文件
-            saved_media = []
-            for media_item in media_items:
-                media = await self._save_media(
-                    doc_id=doc_id,
-                    media_type=media_item.media_type,
-                    file_name=media_item.file_name,
-                    content=media_item.content,
-                    mime_type=media_item.mime_type,
-                )
-                saved_media.append(media)
-                media_paths.append(Path(media.file_path))
-
-            # 阶段2: 分块
-            if progress_callback:
-                await progress_callback("chunking", 0, 100)
-
-            chunks_text = await self.chunker.chunk(
-                text_content,
-                chunk_size=chunk_size,
-                chunk_overlap=chunk_overlap,
-            )
-            contents = []
-            metadatas = []
-            for idx, chunk_text in enumerate(chunks_text):
-                contents.append(chunk_text)
-                metadatas.append(
-                    {
-                        "kb_id": self.kb.kb_id,
-                        "kb_doc_id": doc_id,
-                        "chunk_index": idx,
-                    },
-                )
-
-            if progress_callback:
-                await progress_callback("chunking", 100, 100)
-
-            # 阶段3: 生成向量（带进度回调）
-            async def embedding_progress_callback(current, total):
-                if progress_callback:
-                    await progress_callback("embedding", current, total)
-
-            await self.vec_db.insert_batch(
-                contents=contents,
-                metadatas=metadatas,
-                batch_size=batch_size,
-                tasks_limit=tasks_limit,
-                max_retries=max_retries,
-                progress_callback=embedding_progress_callback,
-            )
-
-            # 保存文档的元数据
-            doc = KBDocument(
-                doc_id=doc_id,
-                kb_id=self.kb.kb_id,
-                doc_name=file_name,
-                file_type=file_type,
-                file_size=len(file_content),
-                # file_path=str(file_path),
-                file_path="",
-                chunk_count=len(chunks_text),
-                media_count=0,
-            )
-            async with self.kb_db.get_db() as session:
-                async with session.begin():
-                    session.add(doc)
-                    for media in saved_media:
-                        session.add(media)
-                    await session.commit()
-
-                await session.refresh(doc)
-
-            vec_db: FaissVecDB = self.vec_db  # type: ignore
-            await self.kb_db.update_kb_stats(kb_id=self.kb.kb_id, vec_db=vec_db)
-            await self.refresh_kb()
-            await self.refresh_document(doc_id)
-            return doc
-        except Exception as e:
-            logger.error(f"上传文档失败: {e}")
-            # if file_path.exists():
-            #     file_path.unlink()
-
-            for media_path in media_paths:
-                try:
-                    if media_path.exists():
-                        media_path.unlink()
-                except Exception as me:
-                    logger.warning(f"清理多媒体文件失败 {media_path}: {me}")
-
-            raise e
-
-    async def list_documents(
-        self,
-        offset: int = 0,
-        limit: int = 100,
-    ) -> list[KBDocument]:
-        """列出知识库的所有文档"""
-        docs = await self.kb_db.list_documents_by_kb(self.kb.kb_id, offset, limit)
-        return docs
-
-    async def get_document(self, doc_id: str) -> KBDocument | None:
-        """获取单个文档"""
-        doc = await self.kb_db.get_document_by_id(doc_id)
-        return doc
-
-    async def delete_document(self, doc_id: str):
-        """删除单个文档及其相关数据"""
-        await self.kb_db.delete_document_by_id(
-            doc_id=doc_id,
-            vec_db=self.vec_db,  # type: ignore
-        )
-        await self.kb_db.update_kb_stats(
-            kb_id=self.kb.kb_id,
-            vec_db=self.vec_db,  # type: ignore
-        )
-        await self.refresh_kb()
-
-    async def delete_chunk(self, chunk_id: str, doc_id: str):
-        """删除单个文本块及其相关数据"""
-        vec_db: FaissVecDB = self.vec_db  # type: ignore
-        await vec_db.delete(chunk_id)
-        await self.kb_db.update_kb_stats(
-            kb_id=self.kb.kb_id,
-            vec_db=self.vec_db,  # type: ignore
-        )
-        await self.refresh_kb()
-        await self.refresh_document(doc_id)
-
-    async def refresh_kb(self):
-        if self.kb:
-            kb = await self.kb_db.get_kb_by_id(self.kb.kb_id)
-            if kb:
-                self.kb = kb
-
-    async def refresh_document(self, doc_id: str) -> None:
-        """更新文档的元数据"""
-        doc = await self.get_document(doc_id)
-        if not doc:
-            raise ValueError(f"无法找到 ID 为 {doc_id} 的文档")
-        chunk_count = await self.get_chunk_count_by_doc_id(doc_id)
-        doc.chunk_count = chunk_count
-        async with self.kb_db.get_db() as session:
-            async with session.begin():
-                session.add(doc)
-                await session.commit()
-            await session.refresh(doc)
-
-    async def get_chunks_by_doc_id(
-        self,
-        doc_id: str,
-        offset: int = 0,
-        limit: int = 100,
-    ) -> list[dict]:
-        """获取文档的所有块及其元数据"""
-        vec_db: FaissVecDB = self.vec_db  # type: ignore
-        chunks = await vec_db.document_storage.get_documents(
-            metadata_filters={"kb_doc_id": doc_id},
-            offset=offset,
-            limit=limit,
-        )
-        result = []
-        for chunk in chunks:
-            chunk_md = json.loads(chunk["metadata"])
-            result.append(
-                {
-                    "chunk_id": chunk["doc_id"],
-                    "doc_id": chunk_md["kb_doc_id"],
-                    "kb_id": chunk_md["kb_id"],
-                    "chunk_index": chunk_md["chunk_index"],
-                    "content": chunk["text"],
-                    "char_count": len(chunk["text"]),
-                },
-            )
-        return result
-
-    async def get_chunk_count_by_doc_id(self, doc_id: str) -> int:
-        """获取文档的块数量"""
-        vec_db: FaissVecDB = self.vec_db  # type: ignore
-        count = await vec_db.count_documents(metadata_filter={"kb_doc_id": doc_id})
-        return count
-
-    async def _save_media(
-        self,
-        doc_id: str,
-        media_type: str,
-        file_name: str,
-        content: bytes,
-        mime_type: str,
-    ) -> KBMedia:
-        """保存多媒体资源"""
-        media_id = str(uuid.uuid4())
-        ext = Path(file_name).suffix
-
-        # 保存文件
-        file_path = self.kb_medias_dir / doc_id / f"{media_id}{ext}"
-        file_path.parent.mkdir(parents=True, exist_ok=True)
-        async with aiofiles.open(file_path, "wb") as f:
-            await f.write(content)
-
-        media = KBMedia(
-            media_id=media_id,
-            doc_id=doc_id,
-            kb_id=self.kb.kb_id,
-            media_type=media_type,
-            file_name=file_name,
-            file_path=str(file_path),
-            file_size=len(content),
-            mime_type=mime_type,
-        )
-
-        return media

astrbot/core/knowledge_base/kb_mgr.py

@@ -1,286 +0,0 @@
-import traceback
-from pathlib import Path
-
-from astrbot.core import logger
-from astrbot.core.provider.manager import ProviderManager
-
-# from .chunking.fixed_size import FixedSizeChunker
-from .chunking.recursive import RecursiveCharacterChunker
-from .kb_db_sqlite import KBSQLiteDatabase
-from .kb_helper import KBHelper
-from .models import KnowledgeBase
-from .retrieval.manager import RetrievalManager, RetrievalResult
-from .retrieval.rank_fusion import RankFusion
-from .retrieval.sparse_retriever import SparseRetriever
-
-FILES_PATH = "data/knowledge_base"
-DB_PATH = Path(FILES_PATH) / "kb.db"
-"""Knowledge Base storage root directory"""
-CHUNKER = RecursiveCharacterChunker()
-
-
-class KnowledgeBaseManager:
-    kb_db: KBSQLiteDatabase
-    retrieval_manager: RetrievalManager
-
-    def __init__(
-        self,
-        provider_manager: ProviderManager,
-    ):
-        Path(DB_PATH).parent.mkdir(parents=True, exist_ok=True)
-        self.provider_manager = provider_manager
-        self._session_deleted_callback_registered = False
-
-        self.kb_insts: dict[str, KBHelper] = {}
-
-    async def initialize(self):
-        """初始化知识库模块"""
-        try:
-            logger.info("正在初始化知识库模块...")
-
-            # 初始化数据库
-            await self._init_kb_database()
-
-            # 初始化检索管理器
-            sparse_retriever = SparseRetriever(self.kb_db)
-            rank_fusion = RankFusion(self.kb_db)
-            self.retrieval_manager = RetrievalManager(
-                sparse_retriever=sparse_retriever,
-                rank_fusion=rank_fusion,
-                kb_db=self.kb_db,
-            )
-            await self.load_kbs()
-
-        except ImportError as e:
-            logger.error(f"知识库模块导入失败: {e}")
-            logger.warning("请确保已安装所需依赖: pypdf, aiofiles, Pillow, rank-bm25")
-        except Exception as e:
-            logger.error(f"知识库模块初始化失败: {e}")
-            logger.error(traceback.format_exc())
-
-    async def _init_kb_database(self):
-        self.kb_db = KBSQLiteDatabase(DB_PATH.as_posix())
-        await self.kb_db.initialize()
-        await self.kb_db.migrate_to_v1()
-        logger.info(f"KnowledgeBase database initialized: {DB_PATH}")
-
-    async def load_kbs(self):
-        """加载所有知识库实例"""
-        kb_records = await self.kb_db.list_kbs()
-        for record in kb_records:
-            kb_helper = KBHelper(
-                kb_db=self.kb_db,
-                kb=record,
-                provider_manager=self.provider_manager,
-                kb_root_dir=FILES_PATH,
-                chunker=CHUNKER,
-            )
-            await kb_helper.initialize()
-            self.kb_insts[record.kb_id] = kb_helper
-
-    async def create_kb(
-        self,
-        kb_name: str,
-        description: str | None = None,
-        emoji: str | None = None,
-        embedding_provider_id: str | None = None,
-        rerank_provider_id: str | None = None,
-        chunk_size: int | None = None,
-        chunk_overlap: int | None = None,
-        top_k_dense: int | None = None,
-        top_k_sparse: int | None = None,
-        top_m_final: int | None = None,
-    ) -> KBHelper:
-        """创建新的知识库实例"""
-        kb = KnowledgeBase(
-            kb_name=kb_name,
-            description=description,
-            emoji=emoji or "📚",
-            embedding_provider_id=embedding_provider_id,
-            rerank_provider_id=rerank_provider_id,
-            chunk_size=chunk_size if chunk_size is not None else 512,
-            chunk_overlap=chunk_overlap if chunk_overlap is not None else 50,
-            top_k_dense=top_k_dense if top_k_dense is not None else 50,
-            top_k_sparse=top_k_sparse if top_k_sparse is not None else 50,
-            top_m_final=top_m_final if top_m_final is not None else 5,
-        )
-        async with self.kb_db.get_db() as session:
-            session.add(kb)
-            await session.commit()
-            await session.refresh(kb)
-
-            kb_helper = KBHelper(
-                kb_db=self.kb_db,
-                kb=kb,
-                provider_manager=self.provider_manager,
-                kb_root_dir=FILES_PATH,
-                chunker=CHUNKER,
-            )
-            await kb_helper.initialize()
-        self.kb_insts[kb.kb_id] = kb_helper
-        return kb_helper
-
-    async def get_kb(self, kb_id: str) -> KBHelper | None:
-        """获取知识库实例"""
-        if kb_id in self.kb_insts:
-            return self.kb_insts[kb_id]
-
-    async def get_kb_by_name(self, kb_name: str) -> KBHelper | None:
-        """通过名称获取知识库实例"""
-        for kb_helper in self.kb_insts.values():
-            if kb_helper.kb.kb_name == kb_name:
-                return kb_helper
-        return None
-
-    async def delete_kb(self, kb_id: str) -> bool:
-        """删除知识库实例"""
-        kb_helper = await self.get_kb(kb_id)
-        if not kb_helper:
-            return False
-
-        await kb_helper.delete_vec_db()
-        async with self.kb_db.get_db() as session:
-            await session.delete(kb_helper.kb)
-            await session.commit()
-
-        self.kb_insts.pop(kb_id, None)
-        return True
-
-    async def list_kbs(self) -> list[KnowledgeBase]:
-        """列出所有知识库实例"""
-        kbs = [kb_helper.kb for kb_helper in self.kb_insts.values()]
-        return kbs
-
-    async def update_kb(
-        self,
-        kb_id: str,
-        kb_name: str,
-        description: str | None = None,
-        emoji: str | None = None,
-        embedding_provider_id: str | None = None,
-        rerank_provider_id: str | None = None,
-        chunk_size: int | None = None,
-        chunk_overlap: int | None = None,
-        top_k_dense: int | None = None,
-        top_k_sparse: int | None = None,
-        top_m_final: int | None = None,
-    ) -> KBHelper | None:
-        """更新知识库实例"""
-        kb_helper = await self.get_kb(kb_id)
-        if not kb_helper:
-            return None
-
-        kb = kb_helper.kb
-        if kb_name is not None:
-            kb.kb_name = kb_name
-        if description is not None:
-            kb.description = description
-        if emoji is not None:
-            kb.emoji = emoji
-        if embedding_provider_id is not None:
-            kb.embedding_provider_id = embedding_provider_id
-        kb.rerank_provider_id = rerank_provider_id  # 允许设置为 None
-        if chunk_size is not None:
-            kb.chunk_size = chunk_size
-        if chunk_overlap is not None:
-            kb.chunk_overlap = chunk_overlap
-        if top_k_dense is not None:
-            kb.top_k_dense = top_k_dense
-        if top_k_sparse is not None:
-            kb.top_k_sparse = top_k_sparse
-        if top_m_final is not None:
-            kb.top_m_final = top_m_final
-        async with self.kb_db.get_db() as session:
-            session.add(kb)
-            await session.commit()
-            await session.refresh(kb)
-
-        return kb_helper
-
-    async def retrieve(
-        self,
-        query: str,
-        kb_names: list[str],
-        top_k_fusion: int = 20,
-        top_m_final: int = 5,
-    ) -> dict | None:
-        """从指定知识库中检索相关内容"""
-        kb_ids = []
-        kb_id_helper_map = {}
-        for kb_name in kb_names:
-            if kb_helper := await self.get_kb_by_name(kb_name):
-                kb_ids.append(kb_helper.kb.kb_id)
-                kb_id_helper_map[kb_helper.kb.kb_id] = kb_helper
-
-        if not kb_ids:
-            return {}
-
-        results = await self.retrieval_manager.retrieve(
-            query=query,
-            kb_ids=kb_ids,
-            kb_id_helper_map=kb_id_helper_map,
-            top_k_fusion=top_k_fusion,
-            top_m_final=top_m_final,
-        )
-        if not results:
-            return None
-
-        context_text = self._format_context(results)
-
-        results_dict = [
-            {
-                "chunk_id": r.chunk_id,
-                "doc_id": r.doc_id,
-                "kb_id": r.kb_id,
-                "kb_name": r.kb_name,
-                "doc_name": r.doc_name,
-                "chunk_index": r.metadata.get("chunk_index", 0),
-                "content": r.content,
-                "score": r.score,
-                "char_count": r.metadata.get("char_count", 0),
-            }
-            for r in results
-        ]
-
-        return {
-            "context_text": context_text,
-            "results": results_dict,
-        }
-
-    def _format_context(self, results: list[RetrievalResult]) -> str:
-        """格式化知识上下文
-
-        Args:
-            results: 检索结果列表
-
-        Returns:
-            str: 格式化的上下文文本
-
-        """
-        lines = ["以下是相关的知识库内容,请参考这些信息回答用户的问题:\n"]
-
-        for i, result in enumerate(results, 1):
-            lines.append(f"【知识 {i}】")
-            lines.append(f"来源: {result.kb_name} / {result.doc_name}")
-            lines.append(f"内容: {result.content}")
-            lines.append(f"相关度: {result.score:.2f}")
-            lines.append("")
-
-        return "\n".join(lines)
-
-    async def terminate(self):
-        """终止所有知识库实例,关闭数据库连接"""
-        for kb_id, kb_helper in self.kb_insts.items():
-            try:
-                await kb_helper.terminate()
-            except Exception as e:
-                logger.error(f"关闭知识库 {kb_id} 失败: {e}")
-
-        self.kb_insts.clear()
-
-        # 关闭元数据数据库
-        if hasattr(self, "kb_db") and self.kb_db:
-            try:
-                await self.kb_db.close()
-            except Exception as e:
-                logger.error(f"关闭知识库元数据数据库失败: {e}")

astrbot/core/knowledge_base/models.py

@@ -1,120 +0,0 @@
-import uuid
-from datetime import datetime, timezone
-
-from sqlmodel import Field, MetaData, SQLModel, Text, UniqueConstraint
-
-
-class BaseKBModel(SQLModel, table=False):
-    metadata = MetaData()
-
-
-class KnowledgeBase(BaseKBModel, table=True):
-    """知识库表
-
-    存储知识库的基本信息和统计数据。
-    """
-
-    __tablename__ = "knowledge_bases"  # type: ignore
-
-    id: int | None = Field(
-        primary_key=True,
-        sa_column_kwargs={"autoincrement": True},
-        default=None,
-    )
-    kb_id: str = Field(
-        max_length=36,
-        nullable=False,
-        unique=True,
-        default_factory=lambda: str(uuid.uuid4()),
-        index=True,
-    )
-    kb_name: str = Field(max_length=100, nullable=False)
-    description: str | None = Field(default=None, sa_type=Text)
-    emoji: str | None = Field(default="📚", max_length=10)
-    embedding_provider_id: str | None = Field(default=None, max_length=100)
-    rerank_provider_id: str | None = Field(default=None, max_length=100)
-    # 分块配置参数
-    chunk_size: int | None = Field(default=512, nullable=True)
-    chunk_overlap: int | None = Field(default=50, nullable=True)
-    # 检索配置参数
-    top_k_dense: int | None = Field(default=50, nullable=True)
-    top_k_sparse: int | None = Field(default=50, nullable=True)
-    top_m_final: int | None = Field(default=5, nullable=True)
-    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
-    updated_at: datetime = Field(
-        default_factory=lambda: datetime.now(timezone.utc),
-        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
-    )
-    doc_count: int = Field(default=0, nullable=False)
-    chunk_count: int = Field(default=0, nullable=False)
-
-    __table_args__ = (
-        UniqueConstraint(
-            "kb_name",
-            name="uix_kb_name",
-        ),
-    )
-
-
-class KBDocument(BaseKBModel, table=True):
-    """文档表
-
-    存储上传到知识库的文档元数据。
-    """
-
-    __tablename__ = "kb_documents"  # type: ignore
-
-    id: int | None = Field(
-        primary_key=True,
-        sa_column_kwargs={"autoincrement": True},
-        default=None,
-    )
-    doc_id: str = Field(
-        max_length=36,
-        nullable=False,
-        unique=True,
-        default_factory=lambda: str(uuid.uuid4()),
-        index=True,
-    )
-    kb_id: str = Field(max_length=36, nullable=False, index=True)
-    doc_name: str = Field(max_length=255, nullable=False)
-    file_type: str = Field(max_length=20, nullable=False)
-    file_size: int = Field(nullable=False)
-    file_path: str = Field(max_length=512, nullable=False)
-    chunk_count: int = Field(default=0, nullable=False)
-    media_count: int = Field(default=0, nullable=False)
-    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
-    updated_at: datetime = Field(
-        default_factory=lambda: datetime.now(timezone.utc),
-        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
-    )
-
-
-class KBMedia(BaseKBModel, table=True):
-    """多媒体资源表
-
-    存储从文档中提取的图片、视频等多媒体资源。
-    """
-
-    __tablename__ = "kb_media"  # type: ignore
-
-    id: int | None = Field(
-        primary_key=True,
-        sa_column_kwargs={"autoincrement": True},
-        default=None,
-    )
-    media_id: str = Field(
-        max_length=36,
-        nullable=False,
-        unique=True,
-        default_factory=lambda: str(uuid.uuid4()),
-        index=True,
-    )
-    doc_id: str = Field(max_length=36, nullable=False, index=True)
-    kb_id: str = Field(max_length=36, nullable=False, index=True)
-    media_type: str = Field(max_length=20, nullable=False)
-    file_name: str = Field(max_length=255, nullable=False)
-    file_path: str = Field(max_length=512, nullable=False)
-    file_size: int = Field(nullable=False)
-    mime_type: str = Field(max_length=100, nullable=False)
-    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))

astrbot/core/knowledge_base/parsers/__init__.py

@@ -1,13 +0,0 @@
-"""文档解析器模块"""
-
-from .base import BaseParser, MediaItem, ParseResult
-from .pdf_parser import PDFParser
-from .text_parser import TextParser
-
-__all__ = [
-    "BaseParser",
-    "MediaItem",
-    "PDFParser",
-    "ParseResult",
-    "TextParser",
-]

astrbot/core/knowledge_base/parsers/base.py

@@ -1,51 +0,0 @@
-"""文档解析器基类和数据结构
-
-定义了文档解析器的抽象接口和相关数据类。
-"""
-
-from abc import ABC, abstractmethod
-from dataclasses import dataclass
-
-
-@dataclass
-class MediaItem:
-    """多媒体项
-
-    表示从文档中提取的多媒体资源。
-    """
-
-    media_type: str  # image, video
-    file_name: str
-    content: bytes
-    mime_type: str
-
-
-@dataclass
-class ParseResult:
-    """解析结果
-
-    包含解析后的文本内容和提取的多媒体资源。
-    """
-
-    text: str
-    media: list[MediaItem]
-
-
-class BaseParser(ABC):
-    """文档解析器基类
-
-    所有文档解析器都应该继承此类并实现 parse 方法。
-    """
-
-    @abstractmethod
-    async def parse(self, file_content: bytes, file_name: str) -> ParseResult:
-        """解析文档
-
-        Args:
-            file_content: 文件内容
-            file_name: 文件名
-
-        Returns:
-            ParseResult: 解析结果
-
-        """

astrbot/core/knowledge_base/parsers/markitdown_parser.py

@@ -1,26 +0,0 @@
-import io
-import os
-
-from markitdown_no_magika import MarkItDown, StreamInfo
-
-from astrbot.core.knowledge_base.parsers.base import (
-    BaseParser,
-    ParseResult,
-)
-
-
-class MarkitdownParser(BaseParser):
-    """解析 docx, xls, xlsx 格式"""
-
-    async def parse(self, file_content: bytes, file_name: str) -> ParseResult:
-        md = MarkItDown(enable_plugins=False)
-        bio = io.BytesIO(file_content)
-        stream_info = StreamInfo(
-            extension=os.path.splitext(file_name)[1].lower(),
-            filename=file_name,
-        )
-        result = md.convert(bio, stream_info=stream_info)
-        return ParseResult(
-            text=result.markdown,
-            media=[],
-        )

astrbot/core/knowledge_base/parsers/pdf_parser.py

@@ -1,101 +0,0 @@
-"""PDF 文件解析器
-
-支持解析 PDF 文件中的文本和图片资源。
-"""
-
-import io
-
-from pypdf import PdfReader
-
-from astrbot.core.knowledge_base.parsers.base import (
-    BaseParser,
-    MediaItem,
-    ParseResult,
-)
-
-
-class PDFParser(BaseParser):
-    """PDF 文档解析器
-
-    提取 PDF 中的文本内容和嵌入的图片资源。
-    """
-
-    async def parse(self, file_content: bytes, file_name: str) -> ParseResult:
-        """解析 PDF 文件
-
-        Args:
-            file_content: 文件内容
-            file_name: 文件名
-
-        Returns:
-            ParseResult: 包含文本和图片的解析结果
-
-        """
-        pdf_file = io.BytesIO(file_content)
-        reader = PdfReader(pdf_file)
-
-        text_parts = []
-        media_items = []
-
-        # 提取文本
-        for page in reader.pages:
-            text = page.extract_text()
-            if text:
-                text_parts.append(text)
-
-        # 提取图片
-        image_counter = 0
-        for page_num, page in enumerate(reader.pages):
-            try:
-                # 安全检查 Resources
-                if "/Resources" not in page:
-                    continue
-
-                resources = page["/Resources"]
-                if not resources or "/XObject" not in resources:  # type: ignore
-                    continue
-
-                xobjects = resources["/XObject"].get_object()  # type: ignore
-                if not xobjects:
-                    continue
-
-                for obj_name in xobjects:
-                    try:
-                        obj = xobjects[obj_name]
-
-                        if obj.get("/Subtype") != "/Image":
-                            continue
-
-                        # 提取图片数据
-                        image_data = obj.get_data()
-
-                        # 确定格式
-                        filter_type = obj.get("/Filter", "")
-                        if filter_type == "/DCTDecode":
-                            ext = "jpg"
-                            mime_type = "image/jpeg"
-                        elif filter_type == "/FlateDecode":
-                            ext = "png"
-                            mime_type = "image/png"
-                        else:
-                            ext = "png"
-                            mime_type = "image/png"
-
-                        image_counter += 1
-                        media_items.append(
-                            MediaItem(
-                                media_type="image",
-                                file_name=f"page_{page_num}_img_{image_counter}.{ext}",
-                                content=image_data,
-                                mime_type=mime_type,
-                            ),
-                        )
-                    except Exception:
-                        # 单个图片提取失败不影响整体
-                        continue
-            except Exception:
-                # 页面处理失败不影响其他页面
-                continue
-
-        full_text = "\n\n".join(text_parts)
-        return ParseResult(text=full_text, media=media_items)

astrbot/core/knowledge_base/parsers/text_parser.py

@@ -1,42 +0,0 @@
-"""文本文件解析器
-
-支持解析 TXT 和 Markdown 文件。
-"""
-
-from astrbot.core.knowledge_base.parsers.base import BaseParser, ParseResult
-
-
-class TextParser(BaseParser):
-    """TXT/MD 文本解析器
-
-    支持多种字符编码的自动检测。
-    """
-
-    async def parse(self, file_content: bytes, file_name: str) -> ParseResult:
-        """解析文本文件
-
-        尝试使用多种编码解析文件内容。
-
-        Args:
-            file_content: 文件内容
-            file_name: 文件名
-
-        Returns:
-            ParseResult: 解析结果,不包含多媒体资源
-
-        Raises:
-            ValueError: 如果无法解码文件
-
-        """
-        # 尝试多种编码
-        for encoding in ["utf-8", "gbk", "gb2312", "gb18030"]:
-            try:
-                text = file_content.decode(encoding)
-                break
-            except UnicodeDecodeError:
-                continue
-        else:
-            raise ValueError(f"无法解码文件: {file_name}")
-
-        # 文本文件无多媒体资源
-        return ParseResult(text=text, media=[])

astrbot/core/knowledge_base/parsers/util.py

@@ -1,13 +0,0 @@
-from .base import BaseParser
-
-
-async def select_parser(ext: str) -> BaseParser:
-    if ext in {".md", ".txt", ".markdown", ".xlsx", ".docx", ".xls"}:
-        from .markitdown_parser import MarkitdownParser
-
-        return MarkitdownParser()
-    if ext == ".pdf":
-        from .pdf_parser import PDFParser
-
-        return PDFParser()
-    raise ValueError(f"暂时不支持的文件格式: {ext}")

astrbot/core/knowledge_base/retrieval/__init__.py

@@ -1,14 +0,0 @@
-"""检索模块"""
-
-from .manager import RetrievalManager, RetrievalResult
-from .rank_fusion import FusedResult, RankFusion
-from .sparse_retriever import SparseResult, SparseRetriever
-
-__all__ = [
-    "FusedResult",
-    "RankFusion",
-    "RetrievalManager",
-    "RetrievalResult",
-    "SparseResult",
-    "SparseRetriever",
-]

astrbot/core/knowledge_base/retrieval/hit_stopwords.txt

@@ -1,767 +0,0 @@
-———
-》），
-）÷（１－
-”，
-）、
-＝（
-:
-→
-℃ 
-&
-*
-一一
-~~~~
-’
-.
-『
-.一
-./
--- 
-』
-＝″
-【
-［＊］
-｝＞
-［⑤］］
-［①Ｄ］
-ｃ］
-ｎｇ昉
-＊
-//
-［
-］
-［②ｅ］
-［②ｇ］
-＝｛
-}
-，也 
-‘
-Ａ
-［①⑥］
-［②Ｂ］ 
-［①ａ］
-［④ａ］
-［①③］
-［③ｈ］
-③］
-１． 
-－－ 
-［②ｂ］
-’‘ 
-××× 
-［①⑧］
-０：２ 
-＝［
-［⑤ｂ］
-［②ｃ］ 
-［④ｂ］
-［②③］
-［③ａ］
-［④ｃ］
-［①⑤］
-［①⑦］
-［①ｇ］
-∈［ 
-［①⑨］
-［①④］
-［①ｃ］
-［②ｆ］
-［②⑧］
-［②①］
-［①Ｃ］
-［③ｃ］
-［③ｇ］
-［②⑤］
-［②②］
-一.
-［①ｈ］
-.数
-［］
-［①Ｂ］
-数/
-［①ｉ］
-［③ｅ］
-［①①］
-［④ｄ］
-［④ｅ］
-［③ｂ］
-［⑤ａ］
-［①Ａ］
-［②⑧］
-［②⑦］
-［①ｄ］
-［②ｊ］
-〕〔
-］［
-://
-′∈
-［②④
-［⑤ｅ］
-１２％
-ｂ］
-...
-...................
-…………………………………………………③
-ＺＸＦＩＴＬ
-［③Ｆ］
-」
-［①ｏ］
-］∧′＝［ 
-∪φ∈
-′｜
-｛－
-②ｃ
-｝
-［③①］
-Ｒ．Ｌ．
-［①Ｅ］
-Ψ
-－［＊］－
-↑
-.日 
-［②ｄ］
-［②
-［②⑦］
-［②②］
-［③ｅ］
-［①ｉ］
-［①Ｂ］
-［①ｈ］
-［①ｄ］
-［①ｇ］
-［①②］
-［②ａ］
-ｆ］
-［⑩］
-ａ］
-［①ｅ］
-［②ｈ］
-［②⑥］
-［③ｄ］
-［②⑩］
-ｅ］
-〉
-】
-元／吨
-［②⑩］
-２．３％
-５：０  
-［①］
-::
-［②］
-［③］
-［④］
-［⑤］
-［⑥］
-［⑦］
-［⑧］
-［⑨］ 
-……
-——
-?
-、
-。
-“
-”
-《
-》
-！
-，
-：
-；
-？
-．
-,
-．
-'
-? 
-·
-———
-──
-? 
-—
-<
->
-（
-）
-〔
-〕
-[
-]
-(
-)
--
-+
-～
-×
-／
-/
-①
-②
-③
-④
-⑤
-⑥
-⑦
-⑧
-⑨
-⑩
-Ⅲ
-В
-"
-;
-#
-@
-γ
-μ
-φ
-φ．
-× 
-Δ
-■
-▲
-sub
-exp 
-sup
-sub
-Lex 
-＃
-％
-＆
-＇
-＋
-＋ξ
-＋＋
-－
-－β
-＜
-＜±
-＜Δ
-＜λ
-＜φ
-＜＜
-=
-＝
-＝☆
-＝－
-＞
-＞λ
-＿
-～±
-～＋
-［⑤ｆ］
-［⑤ｄ］
-［②ｉ］
-≈ 
-［②Ｇ］
-［①ｆ］
-ＬＩ
-㈧ 
-［－
-......
-〉
-［③⑩］
-第二
-一番
-一直
-一个
-一些
-许多
-种
-有的是
-也就是说
-末##末
-啊
-阿
-哎
-哎呀
-哎哟
-唉
-俺
-俺们
-按
-按照
-吧
-吧哒
-把
-罢了
-被
-本
-本着
-比
-比方
-比如
-鄙人
-彼
-彼此
-边
-别
-别的
-别说
-并
-并且
-不比
-不成
-不单
-不但
-不独
-不管
-不光
-不过
-不仅
-不拘
-不论
-不怕
-不然
-不如
-不特
-不惟
-不问
-不只
-朝
-朝着
-趁
-趁着
-乘
-冲
-除
-除此之外
-除非
-除了
-此
-此间
-此外
-从
-从而
-打
-待
-但
-但是
-当
-当着
-到
-得
-的
-的话
-等
-等等
-地
-第
-叮咚
-对
-对于
-多
-多少
-而
-而况
-而且
-而是
-而外
-而言
-而已
-尔后
-反过来
-反过来说
-反之
-非但
-非徒
-否则
-嘎
-嘎登
-该
-赶
-个
-各
-各个
-各位
-各种
-各自
-给
-根据
-跟
-故
-故此
-固然
-关于
-管
-归
-果然
-果真
-过
-哈
-哈哈
-呵
-和
-何
-何处
-何况
-何时
-嘿
-哼
-哼唷
-呼哧
-乎
-哗
-还是
-还有
-换句话说
-换言之
-或
-或是
-或者
-极了
-及
-及其
-及至
-即
-即便
-即或
-即令
-即若
-即使
-几
-几时
-己
-既
-既然
-既是
-继而
-加之
-假如
-假若
-假使
-鉴于
-将
-较
-较之
-叫
-接着
-结果
-借
-紧接着
-进而
-尽
-尽管
-经
-经过
-就
-就是
-就是说
-据
-具体地说
-具体说来
-开始
-开外
-靠
-咳
-可
-可见
-可是
-可以
-况且
-啦
-来
-来着
-离
-例如
-哩
-连
-连同
-两者
-了
-临
-另
-另外
-另一方面
-论
-嘛
-吗
-慢说
-漫说
-冒
-么
-每
-每当
-们
-莫若
-某
-某个
-某些
-拿
-哪
-哪边
-哪儿
-哪个
-哪里
-哪年
-哪怕
-哪天
-哪些
-哪样
-那
-那边
-那儿
-那个
-那会儿
-那里
-那么
-那么些
-那么样
-那时
-那些
-那样
-乃
-乃至
-呢
-能
-你
-你们
-您
-宁
-宁可
-宁肯
-宁愿
-哦
-呕
-啪达
-旁人
-呸
-凭
-凭借
-其
-其次
-其二
-其他
-其它
-其一
-其余
-其中
-起
-起见
-起见
-岂但
-恰恰相反
-前后
-前者
-且
-然而
-然后
-然则
-让
-人家
-任
-任何
-任凭
-如
-如此
-如果
-如何
-如其
-如若
-如上所述
-若
-若非
-若是
-啥
-上下
-尚且
-设若
-设使
-甚而
-甚么
-甚至
-省得
-时候
-什么
-什么样
-使得
-是
-是的
-首先
-谁
-谁知
-顺
-顺着
-似的
-虽
-虽然
-虽说
-虽则
-随
-随着
-所
-所以
-他
-他们
-他人
-它
-它们
-她
-她们
-倘
-倘或
-倘然
-倘若
-倘使
-腾
-替
-通过
-同
-同时
-哇
-万一
-往
-望
-为
-为何
-为了
-为什么
-为着
-喂
-嗡嗡
-我
-我们
-呜
-呜呼
-乌乎
-无论
-无宁
-毋宁
-嘻
-吓
-相对而言
-像
-向
-向着
-嘘
-呀
-焉
-沿
-沿着
-要
-要不
-要不然
-要不是
-要么
-要是
-也
-也罢
-也好
-一
-一般
-一旦
-一方面
-一来
-一切
-一样
-一则
-依
-依照
-矣
-以
-以便
-以及
-以免
-以至
-以至于
-以致
-抑或
-因
-因此
-因而
-因为
-哟
-用
-由
-由此可见
-由于
-有
-有的
-有关
-有些
-又
-于
-于是
-于是乎
-与
-与此同时
-与否
-与其
-越是
-云云
-哉
-再说
-再者
-在
-在下
-咱
-咱们
-则
-怎
-怎么
-怎么办
-怎么样
-怎样
-咋
-照
-照着
-者
-这
-这边
-这儿
-这个
-这会儿
-这就是说
-这里
-这么
-这么点儿
-这么些
-这么样
-这时
-这些
-这样
-正如
-吱
-之
-之类
-之所以
-之一
-只是
-只限
-只要
-只有
-至
-至于
-诸位
-着
-着呢
-自
-自从
-自个儿
-自各儿
-自己
-自家
-自身
-综上所述
-总的来看
-总的来说
-总的说来
-总而言之
-总之
-纵
-纵令
-纵然
-纵使
-遵照
-作为
-兮
-呃
-呗
-咚
-咦
-喏
-啐
-喔唷
-嗬
-嗯
-嗳

astrbot/core/knowledge_base/retrieval/manager.py

@@ -1,276 +0,0 @@
-"""检索管理器
-
-协调稠密检索、稀疏检索和 Rerank,提供统一的检索接口
-"""
-
-import time
-from dataclasses import dataclass
-
-from astrbot import logger
-from astrbot.core.db.vec_db.base import Result
-from astrbot.core.db.vec_db.faiss_impl import FaissVecDB
-from astrbot.core.knowledge_base.kb_db_sqlite import KBSQLiteDatabase
-from astrbot.core.knowledge_base.retrieval.rank_fusion import RankFusion
-from astrbot.core.knowledge_base.retrieval.sparse_retriever import SparseRetriever
-from astrbot.core.provider.provider import RerankProvider
-
-from ..kb_helper import KBHelper
-
-
-@dataclass
-class RetrievalResult:
-    """检索结果"""
-
-    chunk_id: str
-    doc_id: str
-    doc_name: str
-    kb_id: str
-    kb_name: str
-    content: str
-    score: float
-    metadata: dict
-
-
-class RetrievalManager:
-    """检索管理器
-
-    职责:
-    - 协调稠密检索、稀疏检索和 Rerank
-    - 结果融合和排序
-    """
-
-    def __init__(
-        self,
-        sparse_retriever: SparseRetriever,
-        rank_fusion: RankFusion,
-        kb_db: KBSQLiteDatabase,
-    ):
-        """初始化检索管理器
-
-        Args:
-            vec_db_factory: 向量数据库工厂
-            sparse_retriever: 稀疏检索器
-            rank_fusion: 结果融合器
-            kb_db: 知识库数据库实例
-
-        """
-        self.sparse_retriever = sparse_retriever
-        self.rank_fusion = rank_fusion
-        self.kb_db = kb_db
-
-    async def retrieve(
-        self,
-        query: str,
-        kb_ids: list[str],
-        kb_id_helper_map: dict[str, KBHelper],
-        top_k_fusion: int = 20,
-        top_m_final: int = 5,
-    ) -> list[RetrievalResult]:
-        """混合检索
-
-        流程:
-        1. 稠密检索 (向量相似度)
-        2. 稀疏检索 (BM25)
-        3. 结果融合 (RRF)
-        4. Rerank 重排序
-
-        Args:
-            query: 查询文本
-            kb_ids: 知识库 ID 列表
-            top_m_final: 最终返回数量
-            enable_rerank: 是否启用 Rerank
-
-        Returns:
-            List[RetrievalResult]: 检索结果列表
-
-        """
-        if not kb_ids:
-            return []
-
-        kb_options: dict = {}
-        new_kb_ids = []
-        for kb_id in kb_ids:
-            kb_helper = kb_id_helper_map.get(kb_id)
-            if kb_helper:
-                kb = kb_helper.kb
-                kb_options[kb_id] = {
-                    "top_k_dense": kb.top_k_dense or 50,
-                    "top_k_sparse": kb.top_k_sparse or 50,
-                    "top_m_final": kb.top_m_final or 5,
-                    "vec_db": kb_helper.vec_db,
-                    "rerank_provider_id": kb.rerank_provider_id,
-                }
-                new_kb_ids.append(kb_id)
-            else:
-                logger.warning(f"知识库 ID {kb_id} 实例未找到, 已跳过该知识库的检索")
-
-        kb_ids = new_kb_ids
-
-        # 1. 稠密检索
-        time_start = time.time()
-        dense_results = await self._dense_retrieve(
-            query=query,
-            kb_ids=kb_ids,
-            kb_options=kb_options,
-        )
-        time_end = time.time()
-        logger.debug(
-            f"Dense retrieval across {len(kb_ids)} bases took {time_end - time_start:.2f}s and returned {len(dense_results)} results.",
-        )
-
-        # 2. 稀疏检索
-        time_start = time.time()
-        sparse_results = await self.sparse_retriever.retrieve(
-            query=query,
-            kb_ids=kb_ids,
-            kb_options=kb_options,
-        )
-        time_end = time.time()
-        logger.debug(
-            f"Sparse retrieval across {len(kb_ids)} bases took {time_end - time_start:.2f}s and returned {len(sparse_results)} results.",
-        )
-
-        # 3. 结果融合
-        time_start = time.time()
-        fused_results = await self.rank_fusion.fuse(
-            dense_results=dense_results,
-            sparse_results=sparse_results,
-            top_k=top_k_fusion,
-        )
-        time_end = time.time()
-        logger.debug(
-            f"Rank fusion took {time_end - time_start:.2f}s and returned {len(fused_results)} results.",
-        )
-
-        # 4. 转换为 RetrievalResult (获取元数据)
-        retrieval_results = []
-        for fr in fused_results:
-            metadata_dict = await self.kb_db.get_document_with_metadata(fr.doc_id)
-            if metadata_dict:
-                retrieval_results.append(
-                    RetrievalResult(
-                        chunk_id=fr.chunk_id,
-                        doc_id=fr.doc_id,
-                        doc_name=metadata_dict["document"].doc_name,
-                        kb_id=fr.kb_id,
-                        kb_name=metadata_dict["knowledge_base"].kb_name,
-                        content=fr.content,
-                        score=fr.score,
-                        metadata={
-                            "chunk_index": fr.chunk_index,
-                            "char_count": len(fr.content),
-                        },
-                    ),
-                )
-
-        # 5. Rerank
-        first_rerank = None
-        for kb_id in kb_ids:
-            vec_db: FaissVecDB = kb_options[kb_id]["vec_db"]
-            rerank_pi = kb_options[kb_id]["rerank_provider_id"]
-            if (
-                vec_db
-                and vec_db.rerank_provider
-                and rerank_pi
-                and rerank_pi == vec_db.rerank_provider.meta().id
-            ):
-                first_rerank = vec_db.rerank_provider
-                break
-        if first_rerank and retrieval_results:
-            retrieval_results = await self._rerank(
-                query=query,
-                results=retrieval_results,
-                top_k=top_m_final,
-                rerank_provider=first_rerank,
-            )
-
-        return retrieval_results[:top_m_final]
-
-    async def _dense_retrieve(
-        self,
-        query: str,
-        kb_ids: list[str],
-        kb_options: dict,
-    ):
-        """稠密检索 (向量相似度)
-
-        为每个知识库使用独立的向量数据库进行检索,然后合并结果。
-
-        Args:
-            query: 查询文本
-            kb_ids: 知识库 ID 列表
-            top_k: 返回结果数量
-
-        Returns:
-            List[Result]: 检索结果列表
-
-        """
-        all_results: list[Result] = []
-        for kb_id in kb_ids:
-            if kb_id not in kb_options:
-                continue
-            try:
-                vec_db: FaissVecDB = kb_options[kb_id]["vec_db"]
-                dense_k = int(kb_options[kb_id]["top_k_dense"])
-                vec_results = await vec_db.retrieve(
-                    query=query,
-                    k=dense_k,
-                    fetch_k=dense_k * 2,
-                    rerank=False,  # 稠密检索阶段不进行 rerank
-                    metadata_filters={"kb_id": kb_id},
-                )
-
-                all_results.extend(vec_results)
-            except Exception as e:
-                from astrbot.core import logger
-
-                logger.warning(f"知识库 {kb_id} 稠密检索失败: {e}")
-                continue
-
-        # 按相似度排序并返回 top_k
-        all_results.sort(key=lambda x: x.similarity, reverse=True)
-        # return all_results[: len(all_results) // len(kb_ids)]
-        return all_results
-
-    async def _rerank(
-        self,
-        query: str,
-        results: list[RetrievalResult],
-        top_k: int,
-        rerank_provider: RerankProvider,
-    ) -> list[RetrievalResult]:
-        """Rerank 重排序
-
-        Args:
-            query: 查询文本
-            results: 检索结果列表
-            top_k: 返回结果数量
-
-        Returns:
-            List[RetrievalResult]: 重排序后的结果列表
-
-        """
-        if not results:
-            return []
-
-        # 准备文档列表
-        docs = [r.content for r in results]
-
-        # 调用 Rerank Provider
-        rerank_results = await rerank_provider.rerank(
-            query=query,
-            documents=docs,
-        )
-
-        # 更新分数并重新排序
-        reranked_list = []
-        for rerank_result in rerank_results:
-            idx = rerank_result.index
-            if idx < len(results):
-                result = results[idx]
-                result.score = rerank_result.relevance_score
-                reranked_list.append(result)
-
-        reranked_list.sort(key=lambda x: x.score, reverse=True)
-
-        return reranked_list[:top_k]

astrbot/core/knowledge_base/retrieval/rank_fusion.py

@@ -1,142 +0,0 @@
-"""检索结果融合器
-
-使用 Reciprocal Rank Fusion (RRF) 算法融合稠密检索和稀疏检索的结果
-"""
-
-import json
-from dataclasses import dataclass
-
-from astrbot.core.db.vec_db.base import Result
-from astrbot.core.knowledge_base.kb_db_sqlite import KBSQLiteDatabase
-from astrbot.core.knowledge_base.retrieval.sparse_retriever import SparseResult
-
-
-@dataclass
-class FusedResult:
-    """融合后的检索结果"""
-
-    chunk_id: str
-    chunk_index: int
-    doc_id: str
-    kb_id: str
-    content: str
-    score: float
-
-
-class RankFusion:
-    """检索结果融合器
-
-    职责:
-    - 融合稠密检索和稀疏检索的结果
-    - 使用 Reciprocal Rank Fusion (RRF) 算法
-    """
-
-    def __init__(self, kb_db: KBSQLiteDatabase, k: int = 60):
-        """初始化结果融合器
-
-        Args:
-            kb_db: 知识库数据库实例
-            k: RRF 参数,用于平滑排名
-
-        """
-        self.kb_db = kb_db
-        self.k = k
-
-    async def fuse(
-        self,
-        dense_results: list[Result],
-        sparse_results: list[SparseResult],
-        top_k: int = 20,
-    ) -> list[FusedResult]:
-        """融合稠密和稀疏检索结果
-
-        RRF 公式:
-        score(doc) = sum(1 / (k + rank_i))
-
-        Args:
-            dense_results: 稠密检索结果
-            sparse_results: 稀疏检索结果
-            top_k: 返回结果数量
-
-        Returns:
-            List[FusedResult]: 融合后的结果列表
-
-        """
-        # 1. 构建排名映射
-        dense_ranks = {
-            r.data["doc_id"]: (idx + 1) for idx, r in enumerate(dense_results)
-        }  # 这里的 doc_id 实际上是 chunk_id
-        sparse_ranks = {r.chunk_id: (idx + 1) for idx, r in enumerate(sparse_results)}
-
-        # 2. 收集所有唯一的 ID
-        # 需要统一为 chunk_id
-        all_chunk_ids = set()
-        vec_doc_id_to_dense: dict[str, Result] = {}  # vec_doc_id -> Result
-        chunk_id_to_sparse: dict[str, SparseResult] = {}  # chunk_id -> SparseResult
-
-        # 处理稀疏检索结果
-        for r in sparse_results:
-            all_chunk_ids.add(r.chunk_id)
-            chunk_id_to_sparse[r.chunk_id] = r
-
-        # 处理稠密检索结果 (需要转换 vec_doc_id 到 chunk_id)
-        for r in dense_results:
-            vec_doc_id = r.data["doc_id"]
-            all_chunk_ids.add(vec_doc_id)
-            vec_doc_id_to_dense[vec_doc_id] = r
-
-        # 3. 计算 RRF 分数
-        rrf_scores: dict[str, float] = {}
-
-        for identifier in all_chunk_ids:
-            score = 0.0
-
-            # 来自稠密检索的贡献
-            if identifier in dense_ranks:
-                score += 1.0 / (self.k + dense_ranks[identifier])
-
-            # 来自稀疏检索的贡献
-            if identifier in sparse_ranks:
-                score += 1.0 / (self.k + sparse_ranks[identifier])
-
-            rrf_scores[identifier] = score
-
-        # 4. 排序
-        sorted_ids = sorted(
-            rrf_scores.keys(),
-            key=lambda cid: rrf_scores[cid],
-            reverse=True,
-        )[:top_k]
-
-        # 5. 构建融合结果
-        fused_results = []
-        for identifier in sorted_ids:
-            # 优先从稀疏检索获取完整信息
-            if identifier in chunk_id_to_sparse:
-                sr = chunk_id_to_sparse[identifier]
-                fused_results.append(
-                    FusedResult(
-                        chunk_id=sr.chunk_id,
-                        chunk_index=sr.chunk_index,
-                        doc_id=sr.doc_id,
-                        kb_id=sr.kb_id,
-                        content=sr.content,
-                        score=rrf_scores[identifier],
-                    ),
-                )
-            elif identifier in vec_doc_id_to_dense:
-                # 从向量检索获取信息,需要从数据库获取块的详细信息
-                vec_result = vec_doc_id_to_dense[identifier]
-                chunk_md = json.loads(vec_result.data["metadata"])
-                fused_results.append(
-                    FusedResult(
-                        chunk_id=identifier,
-                        chunk_index=chunk_md["chunk_index"],
-                        doc_id=chunk_md["kb_doc_id"],
-                        kb_id=chunk_md["kb_id"],
-                        content=vec_result.data["text"],
-                        score=rrf_scores[identifier],
-                    ),
-                )
-
-        return fused_results

astrbot/core/knowledge_base/retrieval/sparse_retriever.py

@@ -1,136 +0,0 @@
-"""稀疏检索器
-
-使用 BM25 算法进行基于关键词的文档检索
-"""
-
-import json
-import os
-from dataclasses import dataclass
-
-import jieba
-from rank_bm25 import BM25Okapi
-
-from astrbot.core.db.vec_db.faiss_impl import FaissVecDB
-from astrbot.core.knowledge_base.kb_db_sqlite import KBSQLiteDatabase
-
-
-@dataclass
-class SparseResult:
-    """稀疏检索结果"""
-
-    chunk_index: int
-    chunk_id: str
-    doc_id: str
-    kb_id: str
-    content: str
-    score: float
-
-
-class SparseRetriever:
-    """BM25 稀疏检索器
-
-    职责:
-    - 基于关键词的文档检索
-    - 使用 BM25 算法计算相关度
-    """
-
-    def __init__(self, kb_db: KBSQLiteDatabase):
-        """初始化稀疏检索器
-
-        Args:
-            kb_db: 知识库数据库实例
-
-        """
-        self.kb_db = kb_db
-        self._index_cache = {}  # 缓存 BM25 索引
-
-        with open(
-            os.path.join(os.path.dirname(__file__), "hit_stopwords.txt"),
-            encoding="utf-8",
-        ) as f:
-            self.hit_stopwords = {
-                word.strip() for word in set(f.read().splitlines()) if word.strip()
-            }
-
-    async def retrieve(
-        self,
-        query: str,
-        kb_ids: list[str],
-        kb_options: dict,
-    ) -> list[SparseResult]:
-        """执行稀疏检索
-
-        Args:
-            query: 查询文本
-            kb_ids: 知识库 ID 列表
-            kb_options: 每个知识库的检索选项
-
-        Returns:
-            List[SparseResult]: 检索结果列表
-
-        """
-        # 1. 获取所有相关块
-        top_k_sparse = 0
-        chunks = []
-        for kb_id in kb_ids:
-            vec_db: FaissVecDB = kb_options.get(kb_id, {}).get("vec_db")
-            if not vec_db:
-                continue
-            result = await vec_db.document_storage.get_documents(
-                metadata_filters={},
-                limit=None,
-                offset=None,
-            )
-            chunk_mds = [json.loads(doc["metadata"]) for doc in result]
-            result = [
-                {
-                    "chunk_id": doc["doc_id"],
-                    "chunk_index": chunk_md["chunk_index"],
-                    "doc_id": chunk_md["kb_doc_id"],
-                    "kb_id": kb_id,
-                    "text": doc["text"],
-                }
-                for doc, chunk_md in zip(result, chunk_mds)
-            ]
-            chunks.extend(result)
-            top_k_sparse += kb_options.get(kb_id, {}).get("top_k_sparse", 50)
-
-        if not chunks:
-            return []
-
-        # 2. 准备文档和索引
-        corpus = [chunk["text"] for chunk in chunks]
-        tokenized_corpus = [list(jieba.cut(doc)) for doc in corpus]
-        tokenized_corpus = [
-            [word for word in doc if word not in self.hit_stopwords]
-            for doc in tokenized_corpus
-        ]
-
-        # 3. 构建 BM25 索引
-        bm25 = BM25Okapi(tokenized_corpus)
-
-        # 4. 执行检索
-        tokenized_query = list(jieba.cut(query))
-        tokenized_query = [
-            word for word in tokenized_query if word not in self.hit_stopwords
-        ]
-        scores = bm25.get_scores(tokenized_query)
-
-        # 5. 排序并返回 Top-K
-        results = []
-        for idx, score in enumerate(scores):
-            chunk = chunks[idx]
-            results.append(
-                SparseResult(
-                    chunk_id=chunk["chunk_id"],
-                    chunk_index=chunk["chunk_index"],
-                    doc_id=chunk["doc_id"],
-                    kb_id=chunk["kb_id"],
-                    content=chunk["text"],
-                    score=float(score),
-                ),
-            )
-
-        results.sort(key=lambda x: x.score, reverse=True)
-        # return results[: len(results) // len(kb_ids)]
-        return results[:top_k_sparse]

astrbot/core/log.py

@@ -1,4 +1,5 @@
-"""日志系统, 用于支持核心组件和插件的日志记录, 提供了日志订阅功能
+"""
+日志系统, 用于支持核心组件和插件的日志记录, 提供了日志订阅功能
 
 const:
     CACHED_SIZE: 日志缓存大小, 用于限制缓存的日志数量
@@ -20,14 +21,14 @@ function:
 4. 订阅者可以使用 register() 方法注册到 LogBroker, 订阅日志流
 """
 
-import asyncio
 import logging
+import colorlog
+import asyncio
 import os
 import sys
-from asyncio import Queue
 from collections import deque
-
-import colorlog
+from asyncio import Queue
+from typing import List
 
 # 日志缓存大小
 CACHED_SIZE = 200
@@ -51,7 +52,6 @@ def is_plugin_path(pathname):
 
     Returns:
         bool: 如果路径来自插件目录，则返回 True，否则返回 False
-
     """
     if not pathname:
         return False
@@ -68,7 +68,6 @@ def get_short_level_name(level_name):
 
     Returns:
         str: 四个字母的日志级别缩写
-
     """
     level_map = {
         "DEBUG": "DBUG",
@@ -88,14 +87,13 @@ class LogBroker:
 
     def __init__(self):
         self.log_cache = deque(maxlen=CACHED_SIZE)  # 环形缓冲区, 保存最近的日志
-        self.subscribers: list[Queue] = []  # 订阅者列表
+        self.subscribers: List[Queue] = []  # 订阅者列表
 
     def register(self) -> Queue:
         """注册新的订阅者, 并给每个订阅者返回一个带有日志缓存的队列
 
         Returns:
             Queue: 订阅者的队列, 可用于接收日志消息
-
         """
         q = Queue(maxsize=CACHED_SIZE + 10)
         self.subscribers.append(q)
@@ -106,7 +104,6 @@ class LogBroker:
 
         Args:
             q (Queue): 需要取消订阅的队列
-
         """
         self.subscribers.remove(q)
 
@@ -116,7 +113,6 @@ class LogBroker:
         Args:
             log_entry (dict): 日志消息, 包含日志级别和日志内容.
                 example: {"level": "INFO", "data": "This is a log message.", "time": "2023-10-01 12:00:00"}
-
         """
         self.log_cache.append(log_entry)
         for q in self.subscribers:
@@ -142,7 +138,6 @@ class LogQueueHandler(logging.Handler):
 
         Args:
             record (logging.LogRecord): 日志记录对象, 包含日志信息
-
         """
         log_entry = self.format(record)
         self.log_broker.publish(
@@ -150,7 +145,7 @@ class LogQueueHandler(logging.Handler):
                 "level": record.levelname,
                 "time": record.asctime,
                 "data": log_entry,
-            },
+            }
         )
 
 
@@ -169,7 +164,6 @@ class LogManager:
 
         Returns:
             logging.Logger: 返回配置好的日志记录器
-
         """
         logger = logging.getLogger(log_name)
         # 检查该logger或父级logger是否已经有处理器, 如果已经有处理器, 直接返回该logger, 避免重复配置
@@ -177,10 +171,10 @@ class LogManager:
             return logger
         # 如果logger没有处理器
         console_handler = logging.StreamHandler(
-            sys.stdout,
+            sys.stdout
         )  # 创建一个StreamHandler用于控制台输出
         console_handler.setLevel(
-            logging.DEBUG,
+            logging.DEBUG
         )  # 将日志级别设置为DEBUG(最低级别, 显示所有日志), *如果插件没有设置级别, 默认为DEBUG
 
         # 创建彩色日志格式化器, 输出日志格式为: [时间] [插件标签] [日志级别] [文件名:行号]: 日志消息
@@ -201,8 +195,7 @@ class LogManager:
 
         class FileNameFilter(logging.Filter):
             """文件名过滤器类, 用于修改日志记录的文件名格式
-            例如: 将文件路径 /path/to/file.py 转换为 file.<file> 格式
-            """
+            例如: 将文件路径 /path/to/file.py 转换为 file.<file> 格式"""
 
             # 获取这个文件和父文件夹的名字：<folder>.<file> 并且去除 .py
             def filter(self, record):
@@ -238,7 +231,6 @@ class LogManager:
         Args:
             logger (logging.Logger): 日志记录器
             log_broker (LogBroker): 日志代理类, 用于缓存和分发日志消息
-
         """
         handler = LogQueueHandler(log_broker)
         handler.setLevel(logging.DEBUG)
@@ -248,7 +240,7 @@ class LogManager:
             # 为队列处理器设置相同格式的formatter
             handler.setFormatter(
                 logging.Formatter(
-                    "[%(asctime)s] [%(short_levelname)s] %(plugin_tag)s[%(filename)s:%(lineno)d]: %(message)s",
-                ),
+                    "[%(asctime)s] [%(short_levelname)s] %(plugin_tag)s[%(filename)s:%(lineno)d]: %(message)s"
+                )
             )
         logger.addHandler(handler)

astrbot/core/message/components.py

@@ -1,4 +1,5 @@
-"""MIT License
+"""
+MIT License
 
 Copyright (c) 2021 Lxns-Network
 
@@ -25,6 +26,7 @@ import asyncio
 import base64
 import json
 import os
+import typing as T
 import uuid
 from enum import Enum
 
@@ -35,37 +37,61 @@ from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 from astrbot.core.utils.io import download_file, download_image_by_url, file_to_base64
 
 
-class ComponentType(str, Enum):
-    # Basic Segment Types
-    Plain = "Plain"  # plain text message
-    Image = "Image"  # image
-    Record = "Record"  # audio
-    Video = "Video"  # video
-    File = "File"  # file attachment
+class ComponentType(Enum):
+    Plain = "Plain"  # 纯文本消息
+    Face = "Face"  # QQ表情
+    Record = "Record"  # 语音
+    Video = "Video"  # 视频
+    At = "At"  # At
+    Node = "Node"  # 转发消息的一个节点
+    Nodes = "Nodes"  # 转发消息的多个节点
+    Poke = "Poke"  # QQ 戳一戳
+    Image = "Image"  # 图片
+    Reply = "Reply"  # 回复
+    Forward = "Forward"  # 转发消息
+    File = "File"  # 文件
 
-    # IM-specific Segment Types
-    Face = "Face"  # Emoji segment for Tencent QQ platform
-    At = "At"  # mention a user in IM apps
-    Node = "Node"  # a node in a forwarded message
-    Nodes = "Nodes"  # a forwarded message consisting of multiple nodes
-    Poke = "Poke"  # a poke message for Tencent QQ platform
-    Reply = "Reply"  # a reply message segment
-    Forward = "Forward"  # a forwarded message segment
     RPS = "RPS"  # TODO
     Dice = "Dice"  # TODO
     Shake = "Shake"  # TODO
+    Anonymous = "Anonymous"  # TODO
     Share = "Share"
     Contact = "Contact"  # TODO
     Location = "Location"  # TODO
     Music = "Music"
+    RedBag = "RedBag"
+    Xml = "Xml"
     Json = "Json"
+    CardImage = "CardImage"
+    TTS = "TTS"
     Unknown = "Unknown"
+
     WechatEmoji = "WechatEmoji"  # Wechat 下的 emoji 表情包
 
 
 class BaseMessageComponent(BaseModel):
     type: ComponentType
 
+    def toString(self):
+        output = f"[CQ:{self.type.lower()}"
+        for k, v in self.__dict__.items():
+            if k == "type" or v is None:
+                continue
+            if k == "_type":
+                k = "type"
+            if isinstance(v, bool):
+                v = 1 if v else 0
+            output += ",%s=%s" % (
+                k,
+                str(v)
+                .replace("&", "&")
+                .replace(",", ",")
+                .replace("[", "[")
+                .replace("]", "]"),
+            )
+        output += "]"
+        return output
+
     def toDict(self):
         data = {}
         for k, v in self.__dict__.items():
@@ -82,22 +108,28 @@ class BaseMessageComponent(BaseModel):
 
 
 class Plain(BaseMessageComponent):
-    type = ComponentType.Plain
+    type: ComponentType = "Plain"
     text: str
-    convert: bool | None = True
+    convert: T.Optional[bool] = True  # 若为 False 则直接发送未转换 CQ 码的消息
 
     def __init__(self, text: str, convert: bool = True, **_):
         super().__init__(text=text, convert=convert, **_)
 
+    def toString(self):  # 没有 [CQ:plain] 这种东西，所以直接导出纯文本
+        if not self.convert:
+            return self.text
+        return (
+            self.text.replace("&", "&").replace("[", "[").replace("]", "]")
+        )
+
     def toDict(self):
         return {"type": "text", "data": {"text": self.text.strip()}}
 
     async def to_dict(self):
         return {"type": "text", "data": {"text": self.text}}
 
-
 class Face(BaseMessageComponent):
-    type = ComponentType.Face
+    type: ComponentType = "Face"
     id: int
 
     def __init__(self, **_):
@@ -105,18 +137,18 @@ class Face(BaseMessageComponent):
 
 
 class Record(BaseMessageComponent):
-    type = ComponentType.Record
-    file: str | None = ""
-    magic: bool | None = False
-    url: str | None = ""
-    cache: bool | None = True
-    proxy: bool | None = True
-    timeout: int | None = 0
+    type: ComponentType = "Record"
+    file: T.Optional[str] = ""
+    magic: T.Optional[bool] = False
+    url: T.Optional[str] = ""
+    cache: T.Optional[bool] = True
+    proxy: T.Optional[bool] = True
+    timeout: T.Optional[int] = 0
     # 额外
-    path: str | None
+    path: T.Optional[str]
 
-    def __init__(self, file: str | None, **_):
-        for k in _:
+    def __init__(self, file: T.Optional[str], **_):
+        for k in _.keys():
             if k == "url":
                 pass
                 # Protocol.warn(f"go-cqhttp doesn't support send {self.type} by {k}")
@@ -132,25 +164,19 @@ class Record(BaseMessageComponent):
             return Record(file=url, **_)
         raise Exception("not a valid url")
 
-    @staticmethod
-    def fromBase64(bs64_data: str, **_):
-        return Record(file=f"base64://{bs64_data}", **_)
-
     async def convert_to_file_path(self) -> str:
         """将这个语音统一转换为本地文件路径。这个方法避免了手动判断语音数据类型，直接返回语音数据的本地路径（如果是网络 URL, 则会自动进行下载）。
 
         Returns:
             str: 语音的本地路径，以绝对路径表示。
-
         """
-        if not self.file:
-            raise Exception(f"not a valid file: {self.file}")
-        if self.file.startswith("file:///"):
-            return self.file[8:]
-        if self.file.startswith("http"):
+        if self.file and self.file.startswith("file:///"):
+            file_path = self.file[8:]
+            return file_path
+        elif self.file and self.file.startswith("http"):
             file_path = await download_image_by_url(self.file)
             return os.path.abspath(file_path)
-        if self.file.startswith("base64://"):
+        elif self.file and self.file.startswith("base64://"):
             bs64_data = self.file.removeprefix("base64://")
             image_bytes = base64.b64decode(bs64_data)
             temp_dir = os.path.join(get_astrbot_data_path(), "temp")
@@ -158,26 +184,25 @@ class Record(BaseMessageComponent):
             with open(file_path, "wb") as f:
                 f.write(image_bytes)
             return os.path.abspath(file_path)
-        if os.path.exists(self.file):
-            return os.path.abspath(self.file)
-        raise Exception(f"not a valid file: {self.file}")
+        elif os.path.exists(self.file):
+            file_path = self.file
+            return os.path.abspath(file_path)
+        else:
+            raise Exception(f"not a valid file: {self.file}")
 
     async def convert_to_base64(self) -> str:
         """将语音统一转换为 base64 编码。这个方法避免了手动判断语音数据类型，直接返回语音数据的 base64 编码。
 
         Returns:
             str: 语音的 base64 编码，不以 base64:// 或者 data:image/jpeg;base64, 开头。
-
         """
         # convert to base64
-        if not self.file:
-            raise Exception(f"not a valid file: {self.file}")
-        if self.file.startswith("file:///"):
+        if self.file and self.file.startswith("file:///"):
             bs64_data = file_to_base64(self.file[8:])
-        elif self.file.startswith("http"):
+        elif self.file and self.file.startswith("http"):
             file_path = await download_image_by_url(self.file)
             bs64_data = file_to_base64(file_path)
-        elif self.file.startswith("base64://"):
+        elif self.file and self.file.startswith("base64://"):
             bs64_data = self.file
         elif os.path.exists(self.file):
             bs64_data = file_to_base64(self.file)
@@ -187,14 +212,14 @@ class Record(BaseMessageComponent):
         return bs64_data
 
     async def register_to_file_service(self) -> str:
-        """将语音注册到文件服务。
+        """
+        将语音注册到文件服务。
 
         Returns:
             str: 注册后的URL
 
         Raises:
             Exception: 如果未配置 callback_api_base
-
         """
         callback_host = astrbot_config.get("callback_api_base")
 
@@ -211,12 +236,12 @@ class Record(BaseMessageComponent):
 
 
 class Video(BaseMessageComponent):
-    type = ComponentType.Video
+    type: ComponentType = "Video"
     file: str
-    cover: str | None = ""
-    c: int | None = 2
+    cover: T.Optional[str] = ""
+    c: T.Optional[int] = 2
     # 额外
-    path: str | None = ""
+    path: T.Optional[str] = ""
 
     def __init__(self, file: str, **_):
         super().__init__(file=file, **_)
@@ -236,31 +261,32 @@ class Video(BaseMessageComponent):
 
         Returns:
             str: 视频的本地路径，以绝对路径表示。
-
         """
         url = self.file
         if url and url.startswith("file:///"):
             return url[8:]
-        if url and url.startswith("http"):
+        elif url and url.startswith("http"):
             download_dir = os.path.join(get_astrbot_data_path(), "temp")
             video_file_path = os.path.join(download_dir, f"{uuid.uuid4().hex}")
             await download_file(url, video_file_path)
             if os.path.exists(video_file_path):
                 return os.path.abspath(video_file_path)
-            raise Exception(f"download failed: {url}")
-        if os.path.exists(url):
+            else:
+                raise Exception(f"download failed: {url}")
+        elif os.path.exists(url):
             return os.path.abspath(url)
-        raise Exception(f"not a valid file: {url}")
+        else:
+            raise Exception(f"not a valid file: {url}")
 
     async def register_to_file_service(self):
-        """将视频注册到文件服务。
+        """
+        将视频注册到文件服务。
 
         Returns:
             str: 注册后的URL
 
         Raises:
             Exception: 如果未配置 callback_api_base
-
         """
         callback_host = astrbot_config.get("callback_api_base")
 
@@ -296,9 +322,9 @@ class Video(BaseMessageComponent):
 
 
 class At(BaseMessageComponent):
-    type = ComponentType.At
-    qq: int | str  # 此处str为all时代表所有人
-    name: str | None = ""
+    type: ComponentType = "At"
+    qq: T.Union[int, str]  # 此处str为all时代表所有人
+    name: T.Optional[str] = ""
 
     def __init__(self, **_):
         super().__init__(**_)
@@ -318,66 +344,74 @@ class AtAll(At):
 
 
 class RPS(BaseMessageComponent):  # TODO
-    type = ComponentType.RPS
+    type: ComponentType = "RPS"
 
     def __init__(self, **_):
         super().__init__(**_)
 
 
 class Dice(BaseMessageComponent):  # TODO
-    type = ComponentType.Dice
+    type: ComponentType = "Dice"
 
     def __init__(self, **_):
         super().__init__(**_)
 
 
 class Shake(BaseMessageComponent):  # TODO
-    type = ComponentType.Shake
+    type: ComponentType = "Shake"
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Anonymous(BaseMessageComponent):  # TODO
+    type: ComponentType = "Anonymous"
+    ignore: T.Optional[bool] = False
 
     def __init__(self, **_):
         super().__init__(**_)
 
 
 class Share(BaseMessageComponent):
-    type = ComponentType.Share
+    type: ComponentType = "Share"
     url: str
     title: str
-    content: str | None = ""
-    image: str | None = ""
+    content: T.Optional[str] = ""
+    image: T.Optional[str] = ""
 
     def __init__(self, **_):
         super().__init__(**_)
 
 
 class Contact(BaseMessageComponent):  # TODO
-    type = ComponentType.Contact
+    type: ComponentType = "Contact"
     _type: str  # type 字段冲突
-    id: int | None = 0
+    id: T.Optional[int] = 0
 
     def __init__(self, **_):
         super().__init__(**_)
 
 
 class Location(BaseMessageComponent):  # TODO
-    type = ComponentType.Location
+    type: ComponentType = "Location"
     lat: float
     lon: float
-    title: str | None = ""
-    content: str | None = ""
+    title: T.Optional[str] = ""
+    content: T.Optional[str] = ""
 
     def __init__(self, **_):
         super().__init__(**_)
 
 
 class Music(BaseMessageComponent):
-    type = ComponentType.Music
+    type: ComponentType = "Music"
     _type: str
-    id: int | None = 0
-    url: str | None = ""
-    audio: str | None = ""
-    title: str | None = ""
-    content: str | None = ""
-    image: str | None = ""
+    id: T.Optional[int] = 0
+    url: T.Optional[str] = ""
+    audio: T.Optional[str] = ""
+    title: T.Optional[str] = ""
+    content: T.Optional[str] = ""
+    image: T.Optional[str] = ""
 
     def __init__(self, **_):
         # for k in _.keys():
@@ -387,19 +421,19 @@ class Music(BaseMessageComponent):
 
 
 class Image(BaseMessageComponent):
-    type = ComponentType.Image
-    file: str | None = ""
-    _type: str | None = ""
-    subType: int | None = 0
-    url: str | None = ""
-    cache: bool | None = True
-    id: int | None = 40000
-    c: int | None = 2
+    type: ComponentType = "Image"
+    file: T.Optional[str] = ""
+    _type: T.Optional[str] = ""
+    subType: T.Optional[int] = 0
+    url: T.Optional[str] = ""
+    cache: T.Optional[bool] = True
+    id: T.Optional[int] = 40000
+    c: T.Optional[int] = 2
     # 额外
-    path: str | None = ""
-    file_unique: str | None = ""  # 某些平台可能有图片缓存的唯一标识
+    path: T.Optional[str] = ""
+    file_unique: T.Optional[str] = ""  # 某些平台可能有图片缓存的唯一标识
 
-    def __init__(self, file: str | None, **_):
+    def __init__(self, file: T.Optional[str], **_):
         super().__init__(file=file, **_)
 
     @staticmethod
@@ -429,17 +463,15 @@ class Image(BaseMessageComponent):
 
         Returns:
             str: 图片的本地路径，以绝对路径表示。
-
         """
-        url = self.url or self.file
-        if not url:
-            raise ValueError("No valid file or URL provided")
-        if url.startswith("file:///"):
-            return url[8:]
-        if url.startswith("http"):
+        url = self.url if self.url else self.file
+        if url and url.startswith("file:///"):
+            image_file_path = url[8:]
+            return image_file_path
+        elif url and url.startswith("http"):
             image_file_path = await download_image_by_url(url)
             return os.path.abspath(image_file_path)
-        if url.startswith("base64://"):
+        elif url and url.startswith("base64://"):
             bs64_data = url.removeprefix("base64://")
             image_bytes = base64.b64decode(bs64_data)
             temp_dir = os.path.join(get_astrbot_data_path(), "temp")
@@ -447,27 +479,26 @@ class Image(BaseMessageComponent):
             with open(image_file_path, "wb") as f:
                 f.write(image_bytes)
             return os.path.abspath(image_file_path)
-        if os.path.exists(url):
-            return os.path.abspath(url)
-        raise Exception(f"not a valid file: {url}")
+        elif os.path.exists(url):
+            image_file_path = url
+            return os.path.abspath(image_file_path)
+        else:
+            raise Exception(f"not a valid file: {url}")
 
     async def convert_to_base64(self) -> str:
         """将这个图片统一转换为 base64 编码。这个方法避免了手动判断图片数据类型，直接返回图片数据的 base64 编码。
 
         Returns:
             str: 图片的 base64 编码，不以 base64:// 或者 data:image/jpeg;base64, 开头。
-
         """
         # convert to base64
-        url = self.url or self.file
-        if not url:
-            raise ValueError("No valid file or URL provided")
-        if url.startswith("file:///"):
+        url = self.url if self.url else self.file
+        if url and url.startswith("file:///"):
             bs64_data = file_to_base64(url[8:])
-        elif url.startswith("http"):
+        elif url and url.startswith("http"):
             image_file_path = await download_image_by_url(url)
             bs64_data = file_to_base64(image_file_path)
-        elif url.startswith("base64://"):
+        elif url and url.startswith("base64://"):
             bs64_data = url
         elif os.path.exists(url):
             bs64_data = file_to_base64(url)
@@ -477,14 +508,14 @@ class Image(BaseMessageComponent):
         return bs64_data
 
     async def register_to_file_service(self) -> str:
-        """将图片注册到文件服务。
+        """
+        将图片注册到文件服务。
 
         Returns:
             str: 注册后的URL
 
         Raises:
             Exception: 如果未配置 callback_api_base
-
         """
         callback_host = astrbot_config.get("callback_api_base")
 
@@ -501,35 +532,43 @@ class Image(BaseMessageComponent):
 
 
 class Reply(BaseMessageComponent):
-    type = ComponentType.Reply
-    id: str | int
+    type: ComponentType = "Reply"
+    id: T.Union[str, int]
     """所引用的消息 ID"""
-    chain: list["BaseMessageComponent"] | None = []
+    chain: T.Optional[T.List["BaseMessageComponent"]] = []
     """被引用的消息段列表"""
-    sender_id: int | None | str = 0
+    sender_id: T.Optional[int] | T.Optional[str] = 0
     """被引用的消息对应的发送者的 ID"""
-    sender_nickname: str | None = ""
+    sender_nickname: T.Optional[str] = ""
     """被引用的消息对应的发送者的昵称"""
-    time: int | None = 0
+    time: T.Optional[int] = 0
     """被引用的消息发送时间"""
-    message_str: str | None = ""
+    message_str: T.Optional[str] = ""
     """被引用的消息解析后的纯文本消息字符串"""
 
-    text: str | None = ""
+    text: T.Optional[str] = ""
     """deprecated"""
-    qq: int | None = 0
+    qq: T.Optional[int] = 0
     """deprecated"""
-    seq: int | None = 0
+    seq: T.Optional[int] = 0
     """deprecated"""
 
     def __init__(self, **_):
         super().__init__(**_)
 
 
+class RedBag(BaseMessageComponent):
+    type: ComponentType = "RedBag"
+    title: str
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
 class Poke(BaseMessageComponent):
-    type: str = ComponentType.Poke
-    id: int | None = 0
-    qq: int | None = 0
+    type: str = ""
+    id: T.Optional[int] = 0
+    qq: T.Optional[int] = 0
 
     def __init__(self, type: str, **_):
         type = f"Poke:{type}"
@@ -537,7 +576,7 @@ class Poke(BaseMessageComponent):
 
 
 class Forward(BaseMessageComponent):
-    type = ComponentType.Forward
+    type: ComponentType = "Forward"
     id: str
 
     def __init__(self, **_):
@@ -547,13 +586,13 @@ class Forward(BaseMessageComponent):
 class Node(BaseMessageComponent):
     """群合并转发消息"""
 
-    type = ComponentType.Node
-    id: int | None = 0  # 忽略
-    name: str | None = ""  # qq昵称
-    uin: str | None = "0"  # qq号
-    content: list[BaseMessageComponent] | None = []
-    seq: str | list | None = ""  # 忽略
-    time: int | None = 0  # 忽略
+    type: ComponentType = "Node"
+    id: T.Optional[int] = 0  # 忽略
+    name: T.Optional[str] = ""  # qq昵称
+    uin: T.Optional[str] = "0"  # qq号
+    content: T.Optional[list[BaseMessageComponent]] = []
+    seq: T.Optional[T.Union[str, list]] = ""  # 忽略
+    time: T.Optional[int] = 0  # 忽略
 
     def __init__(self, content: list[BaseMessageComponent], **_):
         if isinstance(content, Node):
@@ -571,7 +610,7 @@ class Node(BaseMessageComponent):
                     {
                         "type": comp.type.lower(),
                         "data": {"file": f"base64://{bs64}"},
-                    },
+                    }
                 )
             elif isinstance(comp, Plain):
                 # For Plain segments, we need to handle the plain differently
@@ -599,10 +638,10 @@ class Node(BaseMessageComponent):
 
 
 class Nodes(BaseMessageComponent):
-    type = ComponentType.Nodes
-    nodes: list[Node]
+    type: ComponentType = "Nodes"
+    nodes: T.List[Node]
 
-    def __init__(self, nodes: list[Node], **_):
+    def __init__(self, nodes: T.List[Node], **_):
         super().__init__(nodes=nodes, **_)
 
     def toDict(self):
@@ -624,10 +663,19 @@ class Nodes(BaseMessageComponent):
         return ret
 
 
+class Xml(BaseMessageComponent):
+    type: ComponentType = "Xml"
+    data: str
+    resid: T.Optional[int] = 0
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
 class Json(BaseMessageComponent):
-    type = ComponentType.Json
-    data: str | dict
-    resid: int | None = 0
+    type: ComponentType = "Json"
+    data: T.Union[str, dict]
+    resid: T.Optional[int] = 0
 
     def __init__(self, data, **_):
         if isinstance(data, dict):
@@ -635,18 +683,50 @@ class Json(BaseMessageComponent):
         super().__init__(data=data, **_)
 
 
-class Unknown(BaseMessageComponent):
-    type = ComponentType.Unknown
+class CardImage(BaseMessageComponent):
+    type: ComponentType = "CardImage"
+    file: str
+    cache: T.Optional[bool] = True
+    minwidth: T.Optional[int] = 400
+    minheight: T.Optional[int] = 400
+    maxwidth: T.Optional[int] = 500
+    maxheight: T.Optional[int] = 500
+    source: T.Optional[str] = ""
+    icon: T.Optional[str] = ""
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+    @staticmethod
+    def fromFileSystem(path, **_):
+        return CardImage(file=f"file:///{os.path.abspath(path)}", **_)
+
+
+class TTS(BaseMessageComponent):
+    type: ComponentType = "TTS"
     text: str
 
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Unknown(BaseMessageComponent):
+    type: ComponentType = "Unknown"
+    text: str
+
+    def toString(self):
+        return ""
+
 
 class File(BaseMessageComponent):
-    """文件消息段"""
+    """
+    文件消息段
+    """
 
-    type = ComponentType.File
-    name: str | None = ""  # 名字
-    file_: str | None = ""  # 本地路径
-    url: str | None = ""  # url
+    type: ComponentType = "File"
+    name: T.Optional[str] = ""  # 名字
+    file_: T.Optional[str] = ""  # 本地路径
+    url: T.Optional[str] = ""  # url
 
     def __init__(self, name: str, file: str = "", url: str = ""):
         """文件消息段。"""
@@ -654,11 +734,11 @@ class File(BaseMessageComponent):
 
     @property
     def file(self) -> str:
-        """获取文件路径，如果文件不存在但有URL，则同步下载文件
+        """
+        获取文件路径，如果文件不存在但有URL，则同步下载文件
 
         Returns:
             str: 文件路径
-
         """
         if self.file_ and os.path.exists(self.file_):
             return os.path.abspath(self.file_)
@@ -668,16 +748,19 @@ class File(BaseMessageComponent):
                 loop = asyncio.get_event_loop()
                 if loop.is_running():
                     logger.warning(
-                        "不可以在异步上下文中同步等待下载! "
-                        "这个警告通常发生于某些逻辑试图通过 <File>.file 获取文件消息段的文件内容。"
-                        "请使用 await get_file() 代替直接获取 <File>.file 字段",
+                        (
+                            "不可以在异步上下文中同步等待下载! "
+                            "这个警告通常发生于某些逻辑试图通过 <File>.file 获取文件消息段的文件内容。"
+                            "请使用 await get_file() 代替直接获取 <File>.file 字段"
+                        )
                     )
                     return ""
-                # 等待下载完成
-                loop.run_until_complete(self._download_file())
+                else:
+                    # 等待下载完成
+                    loop.run_until_complete(self._download_file())
 
-                if self.file_ and os.path.exists(self.file_):
-                    return os.path.abspath(self.file_)
+                    if self.file_ and os.path.exists(self.file_):
+                        return os.path.abspath(self.file_)
             except Exception as e:
                 logger.error(f"文件下载失败: {e}")
 
@@ -685,11 +768,11 @@ class File(BaseMessageComponent):
 
     @file.setter
     def file(self, value: str):
-        """向前兼容, 设置file属性, 传入的参数可能是文件路径或URL
+        """
+        向前兼容, 设置file属性, 传入的参数可能是文件路径或URL
 
         Args:
             value (str): 文件路径或URL
-
         """
         if value.startswith("http://") or value.startswith("https://"):
             self.url = value
@@ -704,7 +787,6 @@ class File(BaseMessageComponent):
             注意，如果为 True，也可能返回文件路径。
         Returns:
             str: 文件路径或者 http 下载链接
-
         """
         if allow_return_url and self.url:
             return self.url
@@ -727,14 +809,14 @@ class File(BaseMessageComponent):
         self.file_ = os.path.abspath(file_path)
 
     async def register_to_file_service(self):
-        """将文件注册到文件服务。
+        """
+        将文件注册到文件服务。
 
         Returns:
             str: 注册后的URL
 
         Raises:
             Exception: 如果未配置 callback_api_base
-
         """
         callback_host = astrbot_config.get("callback_api_base")
 
@@ -771,39 +853,42 @@ class File(BaseMessageComponent):
 
 
 class WechatEmoji(BaseMessageComponent):
-    type = ComponentType.WechatEmoji
-    md5: str | None = ""
-    md5_len: int | None = 0
-    cdnurl: str | None = ""
+    type: ComponentType = "WechatEmoji"
+    md5: T.Optional[str] = ""
+    md5_len: T.Optional[int] = 0
+    cdnurl: T.Optional[str] = ""
 
     def __init__(self, **_):
         super().__init__(**_)
 
 
 ComponentTypes = {
-    # Basic Message Segments
     "plain": Plain,
     "text": Plain,
-    "image": Image,
+    "face": Face,
     "record": Record,
     "video": Video,
-    "file": File,
-    # IM-specific Message Segments
-    "face": Face,
     "at": At,
     "rps": RPS,
     "dice": Dice,
     "shake": Shake,
+    "anonymous": Anonymous,
     "share": Share,
     "contact": Contact,
     "location": Location,
     "music": Music,
+    "image": Image,
     "reply": Reply,
+    "redbag": RedBag,
     "poke": Poke,
     "forward": Forward,
     "node": Node,
     "nodes": Nodes,
+    "xml": Xml,
     "json": Json,
+    "cardimage": CardImage,
+    "tts": TTS,
     "unknown": Unknown,
+    "file": File,
     "WechatEmoji": WechatEmoji,
 }

astrbot/core/message/message_event_result.py

@@ -1,16 +1,15 @@
 import enum
-from collections.abc import AsyncGenerator
+
+from typing import List, Optional, Union, AsyncGenerator
 from dataclasses import dataclass, field
-
-from typing_extensions import deprecated
-
 from astrbot.core.message.components import (
+    BaseMessageComponent,
+    Plain,
+    Image,
     At,
     AtAll,
-    BaseMessageComponent,
-    Image,
-    Plain,
 )
+from typing_extensions import deprecated
 
 
 @dataclass
@@ -21,18 +20,18 @@ class MessageChain:
     Attributes:
         `chain` (list): 用于顺序存储各个组件。
         `use_t2i_` (bool): 用于标记是否使用文本转图片服务。默认为 None，即跟随用户的设置。当设置为 True 时，将会使用文本转图片服务。
-
     """
 
-    chain: list[BaseMessageComponent] = field(default_factory=list)
-    use_t2i_: bool | None = None  # None 为跟随用户设置
-    type: str | None = None
+    chain: List[BaseMessageComponent] = field(default_factory=list)
+    use_t2i_: Optional[bool] = None  # None 为跟随用户设置
+    type: Optional[str] = None
     """消息链承载的消息的类型。可选，用于让消息平台区分不同业务场景的消息链。"""
 
     def message(self, message: str):
         """添加一条文本消息到消息链 `chain` 中。
 
         Example:
+
             CommandResult().message("Hello ").message("world!")
             # 输出 Hello world!
 
@@ -40,10 +39,11 @@ class MessageChain:
         self.chain.append(Plain(message))
         return self
 
-    def at(self, name: str, qq: str | int):
+    def at(self, name: str, qq: Union[str, int]):
         """添加一条 At 消息到消息链 `chain` 中。
 
         Example:
+
             CommandResult().at("张三", "12345678910")
             # 输出 @张三
 
@@ -55,6 +55,7 @@ class MessageChain:
         """添加一条 AtAll 消息到消息链 `chain` 中。
 
         Example:
+
             CommandResult().at_all()
             # 输出 @所有人
 
@@ -67,6 +68,7 @@ class MessageChain:
         """添加一条错误消息到消息链 `chain` 中
 
         Example:
+
             CommandResult().error("解析失败")
 
         """
@@ -80,6 +82,7 @@ class MessageChain:
             如果需要发送本地图片，请使用 `file_image` 方法。
 
         Example:
+
             CommandResult().image("https://example.com/image.jpg")
 
         """
@@ -93,7 +96,6 @@ class MessageChain:
             如果需要发送网络图片，请使用 `url_image` 方法。
 
         CommandResult().image("image.jpg")
-
         """
         self.chain.append(Image.fromFileSystem(path))
         return self
@@ -112,7 +114,6 @@ class MessageChain:
 
         Args:
             use_t2i (bool): 是否使用文本转图片服务。默认为 None，即跟随用户的设置。当设置为 True 时，将会使用文本转图片服务。
-
         """
         self.use_t2i_ = use_t2i
         return self
@@ -124,7 +125,7 @@ class MessageChain:
     def squash_plain(self):
         """将消息链中的所有 Plain 消息段聚合到第一个 Plain 消息段中。"""
         if not self.chain:
-            return None
+            return
 
         new_chain = []
         first_plain = None
@@ -152,7 +153,6 @@ class EventResultType(enum.Enum):
     Attributes:
         CONTINUE: 事件将会继续传播
         STOP: 事件将会终止传播
-
     """
 
     CONTINUE = enum.auto()
@@ -181,18 +181,17 @@ class MessageEventResult(MessageChain):
         `chain` (list): 用于顺序存储各个组件。
         `use_t2i_` (bool): 用于标记是否使用文本转图片服务。默认为 None，即跟随用户的设置。当设置为 True 时，将会使用文本转图片服务。
         `result_type` (EventResultType): 事件处理的结果类型。
-
     """
 
-    result_type: EventResultType | None = field(
-        default_factory=lambda: EventResultType.CONTINUE,
+    result_type: Optional[EventResultType] = field(
+        default_factory=lambda: EventResultType.CONTINUE
     )
 
-    result_content_type: ResultContentType | None = field(
-        default_factory=lambda: ResultContentType.GENERAL_RESULT,
+    result_content_type: Optional[ResultContentType] = field(
+        default_factory=lambda: ResultContentType.GENERAL_RESULT
     )
 
-    async_stream: AsyncGenerator | None = None
+    async_stream: Optional[AsyncGenerator] = None
     """异步流"""
 
     def stop_event(self) -> "MessageEventResult":
@@ -206,7 +205,9 @@ class MessageEventResult(MessageChain):
         return self
 
     def is_stopped(self) -> bool:
-        """是否终止事件传播。"""
+        """
+        是否终止事件传播。
+        """
         return self.result_type == EventResultType.STOP
 
     def set_async_stream(self, stream: AsyncGenerator) -> "MessageEventResult":
@@ -219,7 +220,6 @@ class MessageEventResult(MessageChain):
 
         Args:
             result_type (EventResultType): 事件处理的结果类型。
-
         """
         self.result_content_type = typ
         return self

astrbot/core/persona_mgr.py

@@ -1,8 +1,8 @@
-from astrbot import logger
-from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
 from astrbot.core.db import BaseDatabase
 from astrbot.core.db.po import Persona, Personality
+from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
 from astrbot.core.platform.message_session import MessageSession
+from astrbot import logger
 
 DEFAULT_PERSONALITY = Personality(
     prompt="You are a helpful and friendly assistant.",
@@ -41,14 +41,12 @@ class PersonaManager:
         return persona
 
     async def get_default_persona_v3(
-        self,
-        umo: str | MessageSession | None = None,
+        self, umo: str | MessageSession | None = None
     ) -> Personality:
         """获取默认 persona"""
         cfg = self.acm.get_conf(umo)
         default_persona_id = cfg.get("provider_settings", {}).get(
-            "default_personality",
-            "default",
+            "default_personality", "default"
         )
         if not default_persona_id or default_persona_id == "default":
             return DEFAULT_PERSONALITY
@@ -68,19 +66,16 @@ class PersonaManager:
     async def update_persona(
         self,
         persona_id: str,
-        system_prompt: str | None = None,
-        begin_dialogs: list[str] | None = None,
-        tools: list[str] | None = None,
+        system_prompt: str = None,
+        begin_dialogs: list[str] = None,
+        tools: list[str] = None,
     ):
         """更新指定 persona 的信息。tools 参数为 None 时表示使用所有工具，空列表表示不使用任何工具"""
         existing_persona = await self.db.get_persona_by_id(persona_id)
         if not existing_persona:
             raise ValueError(f"Persona with ID {persona_id} does not exist.")
         persona = await self.db.update_persona(
-            persona_id,
-            system_prompt,
-            begin_dialogs,
-            tools=tools,
+            persona_id, system_prompt, begin_dialogs, tools=tools
         )
         if persona:
             for i, p in enumerate(self.personas):
@@ -105,10 +100,7 @@ class PersonaManager:
         if await self.db.get_persona_by_id(persona_id):
             raise ValueError(f"Persona with ID {persona_id} already exists.")
         new_persona = await self.db.insert_persona(
-            persona_id,
-            system_prompt,
-            begin_dialogs,
-            tools=tools,
+            persona_id, system_prompt, begin_dialogs, tools=tools
         )
         self.personas.append(new_persona)
         self.get_v3_persona_data()
@@ -123,7 +115,6 @@ class PersonaManager:
             - list[dict]: 包含 persona 配置的字典列表。
             - list[Personality]: 包含 Personality 对象的列表。
             - Personality: 默认选择的 Personality 对象。
-
         """
         v3_persona_config = [
             {
@@ -145,7 +136,7 @@ class PersonaManager:
             if begin_dialogs:
                 if len(begin_dialogs) % 2 != 0:
                     logger.error(
-                        f"{persona_cfg['name']} 人格情景预设对话格式不对，条数应该为偶数。",
+                        f"{persona_cfg['name']} 人格情景预设对话格式不对，条数应该为偶数。"
                     )
                     begin_dialogs = []
                 user_turn = True
@@ -155,7 +146,7 @@ class PersonaManager:
                             "role": "user" if user_turn else "assistant",
                             "content": dialog,
                             "_no_save": None,  # 不持久化到 db
-                        },
+                        }
                     )
                     user_turn = not user_turn
 

astrbot/core/pipeline/__init__.py

@@ -27,15 +27,15 @@ STAGES_ORDER = [
 ]
 
 __all__ = [
-    "ContentSafetyCheckStage",
-    "EventResultType",
-    "MessageEventResult",
-    "PreProcessStage",
-    "ProcessStage",
-    "RateLimitStage",
-    "RespondStage",
-    "ResultDecorateStage",
-    "SessionStatusCheckStage",
     "WakingCheckStage",
     "WhitelistCheckStage",
+    "SessionStatusCheckStage",
+    "RateLimitStage",
+    "ContentSafetyCheckStage",
+    "PreProcessStage",
+    "ProcessStage",
+    "ResultDecorateStage",
+    "RespondStage",
+    "MessageEventResult",
+    "EventResultType",
 ]

astrbot/core/pipeline/content_safety_check/stage.py

@@ -1,11 +1,9 @@
-from collections.abc import AsyncGenerator
-
-from astrbot.core import logger
-from astrbot.core.message.message_event_result import MessageEventResult
-from astrbot.core.platform.astr_message_event import AstrMessageEvent
-
-from ..context import PipelineContext
+from typing import Union, AsyncGenerator
 from ..stage import Stage, register_stage
+from ..context import PipelineContext
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.message.message_event_result import MessageEventResult
+from astrbot.core import logger
 from .strategies.strategy import StrategySelector
 
 
@@ -21,10 +19,8 @@ class ContentSafetyCheckStage(Stage):
         self.strategy_selector = StrategySelector(config)
 
     async def process(
-        self,
-        event: AstrMessageEvent,
-        check_text: str | None = None,
-    ) -> None | AsyncGenerator[None, None]:
+        self, event: AstrMessageEvent, check_text: str = None
+    ) -> Union[None, AsyncGenerator[None, None]]:
         """检查内容安全"""
         text = check_text if check_text else event.get_message_str()
         ok, info = self.strategy_selector.check(text)
@@ -32,8 +28,8 @@ class ContentSafetyCheckStage(Stage):
             if event.is_at_or_wake_command:
                 event.set_result(
                     MessageEventResult().message(
-                        "你的消息或者大模型的响应中包含不适当的内容，已被屏蔽。",
-                    ),
+                        "你的消息或者大模型的响应中包含不适当的内容，已被屏蔽。"
+                    )
                 )
                 yield
             event.stop_event()

astrbot/core/pipeline/content_safety_check/strategies/__init__.py

@@ -1,7 +1,8 @@
 import abc
+from typing import Tuple
 
 
 class ContentSafetyStrategy(abc.ABC):
     @abc.abstractmethod
-    def check(self, content: str) -> tuple[bool, str]:
+    def check(self, content: str) -> Tuple[bool, str]:
         raise NotImplementedError

astrbot/core/pipeline/content_safety_check/strategies/baidu_aip.py

@@ -1,8 +1,9 @@
-"""使用此功能应该先 pip install baidu-aip"""
-
-from aip import AipContentCensor
+"""
+使用此功能应该先 pip install baidu-aip
+"""
 
 from . import ContentSafetyStrategy
+from aip import AipContentCensor
 
 
 class BaiduAipStrategy(ContentSafetyStrategy):
@@ -12,18 +13,18 @@ class BaiduAipStrategy(ContentSafetyStrategy):
         self.secret_key = sk
         self.client = AipContentCensor(self.app_id, self.api_key, self.secret_key)
 
-    def check(self, content: str) -> tuple[bool, str]:
+    def check(self, content: str):
         res = self.client.textCensorUserDefined(content)
         if "conclusionType" not in res:
             return False, ""
         if res["conclusionType"] == 1:
             return True, ""
-        if "data" not in res:
-            return False, ""
-        count = len(res["data"])
-        parts = [f"百度审核服务发现 {count} 处违规：\n"]
-        for i in res["data"]:
-            parts.append(f"{i['msg']}；\n")
-        parts.append("\n判断结果：" + res["conclusion"])
-        info = "".join(parts)
-        return False, info
+        else:
+            if "data" not in res:
+                return False, ""
+            count = len(res["data"])
+            info = f"百度审核服务发现 {count} 处违规：\n"
+            for i in res["data"]:
+                info += f"{i['msg']}；\n"
+            info += "\n判断结果：" + res["conclusion"]
+            return False, info

astrbot/core/pipeline/content_safety_check/strategies/keywords.py

@@ -1,5 +1,4 @@
 import re
-
 from . import ContentSafetyStrategy
 
 
@@ -17,7 +16,7 @@ class KeywordsStrategy(ContentSafetyStrategy):
         #             json.loads(base64.b64decode(f.read()).decode("utf-8"))["keywords"]
         #         )
 
-    def check(self, content: str) -> tuple[bool, str]:
+    def check(self, content: str) -> bool:
         for keyword in self.keywords:
             if re.search(keyword, content):
                 return False, "内容安全检查不通过，匹配到敏感词。"

astrbot/core/pipeline/content_safety_check/strategies/strategy.py

@@ -1,16 +1,16 @@
-from astrbot import logger
-
 from . import ContentSafetyStrategy
+from typing import List, Tuple
+from astrbot import logger
 
 
 class StrategySelector:
     def __init__(self, config: dict) -> None:
-        self.enabled_strategies: list[ContentSafetyStrategy] = []
+        self.enabled_strategies: List[ContentSafetyStrategy] = []
         if config["internal_keywords"]["enable"]:
             from .keywords import KeywordsStrategy
 
             self.enabled_strategies.append(
-                KeywordsStrategy(config["internal_keywords"]["extra_keywords"]),
+                KeywordsStrategy(config["internal_keywords"]["extra_keywords"])
             )
         if config["baidu_aip"]["enable"]:
             try:
@@ -23,10 +23,10 @@ class StrategySelector:
                     config["baidu_aip"]["app_id"],
                     config["baidu_aip"]["api_key"],
                     config["baidu_aip"]["secret_key"],
-                ),
+                )
             )
 
-    def check(self, content: str) -> tuple[bool, str]:
+    def check(self, content: str) -> Tuple[bool, str]:
         for strategy in self.enabled_strategies:
             ok, info = strategy.check(content)
             if not ok: