From baae5e7ccbe2c2a793f89967322ca751a24ff4be Mon Sep 17 00:00:00 2001 From: Aparencia Date: Wed, 29 Jul 2026 23:35:16 +0800 Subject: [PATCH 1/6] =?UTF-8?q?feat:=20=E7=86=B5=E5=87=8F=20Entropydecreas?= =?UTF-8?q?e=20=E5=93=81=E7=89=8C=E8=BF=81=E7=A7=BB=E4=B8=8E=E5=85=A8?= =?UTF-8?q?=E4=BB=93=E8=A7=84=E8=8C=83=E5=8C=96=E9=87=8D=E6=9E=84?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 迁移阶段 1-15 全量成果续接课伴历史：品牌重命名（客户端/网关/同步服务/官网/CI）、巨型文件拆分归零（§1）、@ai-context 全覆盖（§3）、docs 重组（10 目录→4）、main/dev 分支策略落地（.releaserc/workflows/husky+commitlint）、仓库更名联动修复（electron-updater 源/官网链接）。用户数据标识（keban.db 等）永久豁免保留。 --- .env.example | 6 +- .gitattributes | 2 +- .github/workflows/deploy-server.yml | 4 +- .github/workflows/deploy-website.yml | 8 +- .github/workflows/pr-check.yml | 2 +- .github/workflows/release.yml | 110 +- .github/workflows/version-release.yml | 2 +- .gitignore | 4 +- .husky/commit-msg | 1 + .husky/pre-commit | 1 + .releaserc.json | 2 +- AGENTS.md | 171 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server/nginx/certs/.gitkeep create mode 100644 server/sync-service/handlers/sync_helpers.go create mode 100644 server/sync-service/handlers/sync_query.go create mode 100644 server/sync-service/handlers/sync_resolve.go create mode 100644 server/sync-service/handlers/ws_connection.go create mode 100644 server/sync-service/handlers/ws_manager.go delete mode 100644 server/sync-service/package-lock.json delete mode 100644 server/sync-service/package.json delete mode 100644 "\346\225\231\350\256\255.md" diff --git a/.env.example b/.env.example index f5d95656..12a7ba63 100644 --- a/.env.example +++ b/.env.example @@ -1,5 +1,5 @@ # =========================================== -# 课伴 (KeBan) MVP-2 Alpha 环境变量模板 +# 熵减 (Entropydecrease) 环境变量模板 # =========================================== # 复制此文件为 .env 并填入实际值 @@ -54,10 +54,10 @@ AI_GATEWAY_PORT=8000 # --- 生产部署配置 --- # CORS 允许的前端域名（多个用逗号分隔） -# CORS_ORIGINS=https://keban.app,https://www.keban.app +# CORS_ORIGINS=https://entropydecrease.com,https://www.entropydecrease.com # 前端 API 基础 URL（生产环境设置为后端服务域名） -# VITE_API_BASE_URL=https://api.keban.app +# VITE_API_BASE_URL=https://api.entropydecrease.com # 日志级别（DEBUG/INFO/WARNING/ERROR） # LOG_LEVEL=INFO diff --git a/.gitattributes b/.gitattributes index 24a8e879..e86aa3a4 100644 --- a/.gitattributes +++ b/.gitattributes @@ -1 +1 @@ -*.png filter=lfs diff=lfs merge=lfs -text +*.png filter=lfs diff=lfs merge=lfs -text diff --git a/.github/workflows/deploy-server.yml b/.github/workflows/deploy-server.yml index 24c98881..5bd36acd 100644 --- a/.github/workflows/deploy-server.yml +++ b/.github/workflows/deploy-server.yml @@ -2,7 +2,7 @@ name: Deploy AI Gateway on: push: - branches: [master] + branches: [main] paths: ['server/**'] jobs: @@ -21,7 +21,7 @@ jobs: username: ${{ secrets.SERVER_USER }} key: ${{ secrets.SSH_PRIVATE_KEY }} script: | - cd /opt/keban + cd /opt/entropydecrease docker-compose pull docker-compose up -d --force-recreate sleep 10 diff --git a/.github/workflows/deploy-website.yml b/.github/workflows/deploy-website.yml index a5b89c93..15fa67f7 100644 --- a/.github/workflows/deploy-website.yml +++ b/.github/workflows/deploy-website.yml @@ -2,7 +2,7 @@ name: Deploy Website on: push: - branches: [master] + branches: [main] paths: ['website/**'] jobs: @@ -29,7 +29,7 @@ jobs: host: ${{ secrets.SERVER_HOST }} username: ${{ secrets.SERVER_USER }} key: ${{ secrets.SSH_PRIVATE_KEY }} - script: mkdir -p /opt/keban/website + script: mkdir -p /opt/entropydecrease/website - name: Upload static files to server uses: appleboy/scp-action@v0.1.7 @@ -38,7 +38,7 @@ jobs: username: ${{ secrets.SERVER_USER }} key: ${{ secrets.SSH_PRIVATE_KEY }} source: website/out/* - target: /opt/keban/website + target: /opt/entropydecrease/website strip_components: 2 rm: true @@ -52,7 +52,7 @@ jobs: # scp 的 rm:true 会重建挂载目录导致 bind mount 失效，必须重启容器 docker restart entropy-decrease-nginx sleep 5 - curl -sf https://entropydecrease.com/ | grep -q "课伴" || exit 1 + curl -sf https://entropydecrease.com/ | grep -q "熵减" || exit 1 - name: Notify IndexNow run: | diff --git a/.github/workflows/pr-check.yml b/.github/workflows/pr-check.yml index 70a7be61..6c67ce45 100644 --- a/.github/workflows/pr-check.yml +++ b/.github/workflows/pr-check.yml @@ -2,7 +2,7 @@ name: PR Quality Check on: pull_request: - branches: [master] + branches: [main, dev] jobs: # =========================================================================== diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 23d7b86d..ab436568 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -1,55 +1,55 @@ -name: Release Electron App - -# 由 semantic-release 创建的 v* tag 触发：构建 Electron 安装包并附加到对应 Release -on: - push: - tags: ['v*'] - -# 上传构建产物到 GitHub Release 需要写权限 -permissions: - contents: write - -jobs: - lint-test: - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v4 - - uses: actions/setup-node@v4 - with: - node-version: 20 - cache: 'npm' - cache-dependency-path: client/package-lock.json - - run: cd client && npm ci - - run: cd client && npm run lint - - run: cd client && npm run test -- --run - - build: - needs: lint-test - strategy: - matrix: - os: [windows-latest, macos-latest] - runs-on: ${{ matrix.os }} - steps: - - uses: actions/checkout@v4 - - uses: actions/setup-node@v4 - with: - node-version: 20 - cache: 'npm' - cache-dependency-path: client/package-lock.json - - run: cd client && npm ci - - run: cd client && npm run electron:build - - uses: actions/upload-artifact@v4 - with: - name: release-${{ matrix.os }} - path: client/release/*.{exe,dmg,AppImage} - - release: - needs: build - runs-on: ubuntu-latest - steps: - - uses: actions/download-artifact@v4 - with: - pattern: release-* - - uses: softprops/action-gh-release@v2 - with: - files: release-*/* +name: Release Electron App + +# 由 semantic-release 创建的 v* tag 触发：构建 Electron 安装包并附加到对应 Release +on: + push: + tags: ['v*'] + +# 上传构建产物到 GitHub Release 需要写权限 +permissions: + contents: write + +jobs: + lint-test: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-node@v4 + with: + node-version: 20 + cache: 'npm' + cache-dependency-path: client/package-lock.json + - run: cd client && npm ci + - run: cd client && npm run lint + - run: cd client && npm run test -- --run + + build: + needs: lint-test + strategy: + matrix: + os: [windows-latest, macos-latest] + runs-on: ${{ matrix.os }} + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-node@v4 + with: + node-version: 20 + cache: 'npm' + cache-dependency-path: client/package-lock.json + - run: cd client && npm ci + - run: cd client && npm run electron:build + - uses: actions/upload-artifact@v4 + with: + name: release-${{ matrix.os }} + path: client/release/*.{exe,dmg,AppImage} + + release: + needs: build + runs-on: ubuntu-latest + steps: + - uses: actions/download-artifact@v4 + with: + pattern: release-* + - uses: softprops/action-gh-release@v2 + with: + files: release-*/* diff --git a/.github/workflows/version-release.yml b/.github/workflows/version-release.yml index f2f23b4a..03ab5ff9 100644 --- a/.github/workflows/version-release.yml +++ b/.github/workflows/version-release.yml @@ -6,7 +6,7 @@ name: Version & Release # 自动更新 package.json/package-lock.json、生成 CHANGELOG、创建 Git tag 与 GitHub Release。 on: push: - branches: [master] + branches: [main] # 同一分支串行执行，避免并发发布产生 tag/版本竞争 concurrency: diff --git a/.gitignore b/.gitignore index d1f613b0..553912a4 100644 --- a/.gitignore +++ b/.gitignore @@ -35,9 +35,9 @@ Thumbs.db .env.local .env.*.local .env.production +.env.test -# Documentation (local only, not version controlled) -docs/ +# Brainstorm scratch (personal notes) brainstorm*.md ui_brainstorm.md diff --git a/.husky/commit-msg b/.husky/commit-msg new file mode 100644 index 00000000..da994831 --- /dev/null +++ b/.husky/commit-msg @@ -0,0 +1 @@ +npx --no -- commitlint --edit "$1" diff --git a/.husky/pre-commit b/.husky/pre-commit new file mode 100644 index 00000000..2312dc58 --- /dev/null +++ b/.husky/pre-commit @@ -0,0 +1 @@ +npx lint-staged diff --git a/.releaserc.json b/.releaserc.json index 95b47479..88fde5d8 100644 --- a/.releaserc.json +++ b/.releaserc.json @@ -1,6 +1,6 @@ { "branches": [ - "master" + "main" ], "tagFormat": "v${version}", "plugins": [ diff --git a/AGENTS.md b/AGENTS.md index c26ad8b0..22a53e7f 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -1,80 +1,91 @@ -# AGENTS.md — 课伴 (KeBan) 仓库代理上下文 - -## 项目概述 - -课伴是面向学生与终身学习者的 AI 智能学习桌面应用，践行费曼学习法与间隔重复。 -核心理念：本地优先 + AI 增强可选。 - -## 项目结构 - -``` -├── client/ # Electron + React 桌面客户端（主产品） -│ ├── electron/ # Electron 主进程（TypeScript） -│ └── src/ # React 渲染进程（Vite + Tailwind） -├── server/ # 后端服务 -│ ├── ai-gateway/ # AI 网关（Python / FastAPI / LangChain） -│ ├── sync-service/# 数据同步服务（Go / Gin） -│ └── nginx/ # 反向代理配置 -├── website/ # 官网（Next.js 静态站点） -├── scripts/ # 仓库级工具脚本（版本、音效生成、会话检测） -└── docs/ # 全生命周期开发工作流文档 -``` - -## 核心模块边界 - -| 模块 | 入口 | 职责 | -|------|------|------| -| Electron 主进程 | `client/electron/main.ts` | 窗口管理、IPC、系统托盘、自动更新 | -| AI 集成层 | `client/electron/ai/` | 本地 Ollama 推理 + 云端 AI 网关调度 | -| AI 网关配置 | `server/ai-gateway/config.py` | 多模型路由（Qwen/DeepSeek/GLM）、超时、降级 | -| AI 网关入口 | `server/ai-gateway/main.py` | FastAPI 应用、中间件、路由注册 | -| 前端渲染 | `client/src/App.tsx` | React 路由、全局布局、3D 场景 | -| 数据层 | `client/electron/db/` | better-sqlite3 本地持久化 | - -## 变更需额外审查的文件 - -以下文件变更影响面大，需要额外审查： - -- `client/electron/main.ts` — 应用生命周期，改动可能导致启动失败 -- `client/electron/preload.ts` — IPC 桥接安全边界 -- `client/electron/ai/` — AI 调度逻辑，涉及多 provider 降级链 -- `server/ai-gateway/config.py` — 模型路由与密钥配置，影响全部 AI 功能 -- `server/ai-gateway/middleware/auth.py` — JWT 认证，安全关键 -- `server/ai-gateway/middleware/rate_limit.py` — 频率限制，影响可用性 -- `server/docker-compose.prod.yml` — 生产编排，改动影响部署 -- `client/electron-builder.yml` — 打包配置，影响发布产物 -- `.github/workflows/` — CI/CD 流水线 - -## 本地验证命令 - -```bash -# 客户端（在 client/ 目录下执行） -npm run lint # Oxlint 代码检查 -npm run test # Vitest 单元测试 -npm run build # tsc -b && vite build（TypeScript 编译 + Vite 打包） - -# Electron 桌面端构建 -npm run electron:build - -# 服务端 AI 网关（在 server/ai-gateway/ 目录下） -pip install -r requirements.txt -python main.py # 启动 FastAPI 开发服务器 - -# 仓库级 -npm run release:dry # semantic-release 干跑验证 -``` - -## 技术栈速查 - -- **客户端**: React 18, TypeScript, Vite, Electron, Tailwind CSS, Zustand, TanStack Query, Dexie.js, TipTap, Framer Motion, Vitest, Oxlint -- **AI 网关**: Python, FastAPI, LangChain, 通义千问/DeepSeek/智谱 GLM -- **同步服务**: Go, Gin, PostgreSQL, Redis -- **官网**: Next.js (静态导出) -- **基础设施**: Docker, docker-compose, Nginx, electron-updater - -## 约定 - -- 提交信息遵循 Conventional Commits 规范 -- 版本号由 semantic-release 自动管理 -- AI 功能必须支持离线降级（本地优先原则） -- 多模态模型 `max_tokens` 限制：Qwen 最大 4096，GLM-4V-Flash 最大 1024 +# AGENTS.md — 熵减 (Entropydecrease) 仓库代理上下文 + +## 项目概述 + +熵减是面向学生与终身学习者的 AI 智能学习桌面应用，践行费曼学习法与间隔重复。 +核心理念：本地优先 + AI 增强可选。 + +## 项目结构 + +``` +├── client/ # Electron + React 桌面客户端（主产品） +│ ├── electron/ # Electron 主进程（TypeScript） +│ └── src/ # React 渲染进程（Vite + Tailwind） +├── server/ # 后端服务 +│ ├── ai-gateway/ # AI 网关（Python / FastAPI / LangChain） +│ ├── sync-service/# 数据同步服务（Go / Gin） +│ └── nginx/ # 反向代理配置 +├── website/ # 官网（Next.js 静态站点） +├── scripts/ # 仓库级工具脚本（版本、音效生成、会话检测） +└── docs/ # 全生命周期开发工作流文档 +``` + +## 核心模块边界 + +| 模块 | 入口 | 职责 | +|------|------|------| +| Electron 主进程 | `client/electron/main.ts` | 窗口管理、IPC、系统托盘、自动更新 | +| AI 集成层 | `client/electron/ai/` | 本地 Ollama 推理 + 云端 AI 网关调度 | +| AI 网关配置 | `server/ai-gateway/config/` | 多模型路由（Qwen/DeepSeek/GLM/Gemini）、超时、降级（包化：runtime/limits/providers/fallback/app） | +| AI 网关入口 | `server/ai-gateway/main.py` | FastAPI 应用装配、中间件、路由注册 | +| 前端渲染 | `client/src/App.tsx` | React 路由、全局布局、3D 场景 | +| 数据层 | `client/electron/db/` | better-sqlite3 本地持久化 | +| 同步服务入口 | `server/sync-service/main.go` | Gin 路由装配、健康探针、WebSocket 通道 | + +## 变更需额外审查的文件 + +以下文件变更影响面大，需要额外审查： + +- `client/electron/main.ts` — 应用生命周期，改动可能导致启动失败 +- `client/electron/preload.ts` — IPC 桥接安全边界 +- `client/electron/ai/` — AI 调度逻辑，涉及多 provider 降级链 +- `server/ai-gateway/config/` — 模型路由与密钥配置，影响全部 AI 功能 +- `server/ai-gateway/middleware/auth.py` — JWT 认证，安全关键 +- `server/ai-gateway/middleware/rate_limit.py` — 频率限制，影响可用性 +- `server/sync-service/middleware/auth.go` — 同步服务 JWT 认证，安全关键 +- `server/docker-compose.prod.yml` — 生产编排，改动影响部署 +- `client/electron-builder.yml` — 打包配置，影响发布产物 +- `.github/workflows/` — CI/CD 流水线 + +## 本地验证命令 + +```bash +# 客户端（在 client/ 目录下执行） +npm run lint # Oxlint 代码检查 +npm run test # Vitest 单元测试 +npm run build # tsc -b && vite build（TypeScript 编译 + Vite 打包） + +# Electron 桌面端构建 +npm run electron:build + +# 服务端 AI 网关（在 server/ai-gateway/ 目录下） +pip install -r requirements.txt +python -m pytest tests/ -q # 单元测试（133 基线） +python main.py # 启动 FastAPI 开发服务器 + +# 同步服务（在 server/sync-service/ 目录下） +go build ./... && go vet ./... && go test ./... + +# 官网（在 website/ 目录下） +npm run build # next build（静态导出） + +# 仓库级 +npm run release:dry # semantic-release 干跑验证（需 git 仓库） +``` + +## 技术栈速查 + +- **客户端**: React 18, TypeScript, Vite, Electron, Tailwind CSS, Zustand, TanStack Query, Dexie.js, TipTap, Framer Motion, Vitest, Oxlint +- **AI 网关**: Python, FastAPI, LangChain, 通义千问/DeepSeek/智谱 GLM/Gemini +- **同步服务**: Go, Gin, PostgreSQL, Redis +- **官网**: Next.js (静态导出) +- **基础设施**: Docker, docker-compose, Nginx, electron-updater + +## 约定 + +- 提交信息遵循 Conventional Commits 规范 +- 版本号由 semantic-release 自动管理 +- AI 功能必须支持离线降级（本地优先原则） +- 多模态模型 `max_tokens` 限制：Qwen 最大 4096，GLM-4V-Flash 最大 1024 +- 单文件 ≤300 行（AI 编程规范 §1）；全部源码文件需含 `@ai-context` 中英双语注释（§3） +- 用户数据标识（keban 库名 / keban_device_id / keban_crypto_salt 等）永久豁免品牌重命名，保证跨版本数据兼容 diff --git a/CHANGELOG.md b/CHANGELOG.md index ee1e37be..963513de 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,70 +1,64 @@ -# 更新日志 - -本项目所有值得关注的变更都会记录在此文件中。 -版本号遵循 [语义化版本 SemVer](https://semver.org/lang/zh-CN/)，提交信息遵循 [Conventional Commits](https://www.conventionalcommits.org/zh-hans/)。 - -## [0.24.0](https://github.com/Aparencia/KeBan/compare/v0.23.0...v0.24.0) (2026-07-29) - -### ✨ 新功能 - -* v0.22.0 — 音效系统重构、UI 组件增强与 AI 余额查询 ([b8c20e2](https://github.com/Aparencia/KeBan/commit/b8c20e2497cfed8c0e690998bf27a078746ab401)) - -## [0.23.0](https://github.com/Aparencia/KeBan/compare/v0.22.0...v0.23.0) (2026-07-28) - -### ✨ 新功能 - -* v0.21.0 — 许可证变更为 BUSL 1.1 与快捷方式设置优化 ([601d2a8](https://github.com/Aparencia/KeBan/commit/601d2a80fe62078d66b068f82139aad8302a71de)) - -## [0.22.0](https://github.com/Aparencia/KeBan/compare/v0.21.0...v0.22.0) (2026-07-28) - -### ✨ 新功能 - -* v0.20.1 — 课堂笔记插入、3D 安全合成器与捕获系统优化 ([0267a27](https://github.com/Aparencia/KeBan/commit/0267a2799fcbb15fc3aaf93e1e33aa45f42ba1ec)) - -## [0.21.0](https://github.com/Aparencia/KeBan/compare/v0.20.1...v0.21.0) (2026-07-28) - -### ✨ 新功能 - -* **website:** add Baidu site verification meta tag ([858666f](https://github.com/Aparencia/KeBan/commit/858666f1a4afb5221e4b73883d8ffa48b467e899)) - -## [0.20.1](https://github.com/Aparencia/KeBan/compare/v0.20.0...v0.20.1) (2026-07-27) - -### 🐛 缺陷修复 - -* **ci:** 部署后重启Nginx容器修复bind mount失效导致的403 ([babb5e8](https://github.com/Aparencia/KeBan/commit/babb5e8b6b7a2934bf2da8f79564ea1cbd3499b6)) - -## [0.20.0](https://github.com/Aparencia/KeBan/compare/v0.19.0...v0.20.0) (2026-07-27) - -### ✨ 新功能 - -* v0.18.0 — 官网 SEO 优化、支持页面与赞助二维码 ([0a332f1](https://github.com/Aparencia/KeBan/commit/0a332f1e5a51a2a721849209d18bb642c509a59a)) - -## [0.19.0](https://github.com/Aparencia/KeBan/compare/v0.18.0...v0.19.0) (2026-07-27) - -### ✨ 新功能 - -* v0.17.1 — CRDT 协同引擎、FSRS 调度器、AI 流式传输与全模块增强 ([231ab19](https://github.com/Aparencia/KeBan/commit/231ab19c27c46cfd597c2febdc627b4ea425cf8e)) - -## [0.18.0](https://github.com/Aparencia/KeBan/compare/v0.17.1...v0.18.0) (2026-07-27) - -### ✨ 新功能 - -* v0.17.0 — 课堂模块组件化、课程智能检测与多模态分析增强 ([9f2cf56](https://github.com/Aparencia/KeBan/commit/9f2cf5678da78185335edfed629cf6b06967ea25)) - -## [0.17.1](https://github.com/Aparencia/KeBan/compare/v0.17.0...v0.17.1) (2026-07-26) - -### 🐛 缺陷修复 - -* **classroom:** 智能采集语音识别流式化+merge降级+去重复传输 ([cd26df0](https://github.com/Aparencia/KeBan/commit/cd26df0b6cce555908108fb9faa5204396aa2ec1)) - -## [0.17.0](https://github.com/Aparencia/KeBan/compare/v0.16.0...v0.17.0) (2026-07-25) - -### ✨ 新功能 - -* **classroom:** 课堂助手模式UI优化、窗口智能识别与笔记生成加速 ([aad3c6c](https://github.com/Aparencia/KeBan/commit/aad3c6c9680501c52384f6fc3d656d5f0d39645d)) - -## [0.16.0](https://github.com/Aparencia/KeBan/compare/v0.15.0...v0.16.0) (2026-07-25) - -### ✨ 新功能 - -* v0.15.1 — Ollama 本地模型接入、AI 处理器重构与认证体系增强 ([8bcad71](https://github.com/Aparencia/KeBan/commit/8bcad7141c270f5ec585f3ea3587d18aa4f01b57)) +# 更新日志 + +本项目所有值得关注的变更都会记录在此文件中。 +版本号遵循 [语义化版本 SemVer](https://semver.org/lang/zh-CN/)，提交信息遵循 [Conventional Commits](https://www.conventionalcommits.org/zh-hans/)。 + +## [0.23.0](https://github.com/Aparencia/KeBan/compare/v0.22.0...v0.23.0) (2026-07-28) + +### ✨ 新功能 + +* v0.21.0 — 许可证变更为 BUSL 1.1 与快捷方式设置优化 ([601d2a8](https://github.com/Aparencia/KeBan/commit/601d2a80fe62078d66b068f82139aad8302a71de)) + +## [0.22.0](https://github.com/Aparencia/KeBan/compare/v0.21.0...v0.22.0) (2026-07-28) + +### ✨ 新功能 + +* v0.20.1 — 课堂笔记插入、3D 安全合成器与捕获系统优化 ([0267a27](https://github.com/Aparencia/KeBan/commit/0267a2799fcbb15fc3aaf93e1e33aa45f42ba1ec)) + +## [0.21.0](https://github.com/Aparencia/KeBan/compare/v0.20.1...v0.21.0) (2026-07-28) + +### ✨ 新功能 + +* **website:** add Baidu site verification meta tag ([858666f](https://github.com/Aparencia/KeBan/commit/858666f1a4afb5221e4b73883d8ffa48b467e899)) + +## [0.20.1](https://github.com/Aparencia/KeBan/compare/v0.20.0...v0.20.1) (2026-07-27) + +### 🐛 缺陷修复 + +* **ci:** 部署后重启Nginx容器修复bind mount失效导致的403 ([babb5e8](https://github.com/Aparencia/KeBan/commit/babb5e8b6b7a2934bf2da8f79564ea1cbd3499b6)) + +## [0.20.0](https://github.com/Aparencia/KeBan/compare/v0.19.0...v0.20.0) (2026-07-27) + +### ✨ 新功能 + +* v0.18.0 — 官网 SEO 优化、支持页面与赞助二维码 ([0a332f1](https://github.com/Aparencia/KeBan/commit/0a332f1e5a51a2a721849209d18bb642c509a59a)) + +## [0.19.0](https://github.com/Aparencia/KeBan/compare/v0.18.0...v0.19.0) (2026-07-27) + +### ✨ 新功能 + +* v0.17.1 — CRDT 协同引擎、FSRS 调度器、AI 流式传输与全模块增强 ([231ab19](https://github.com/Aparencia/KeBan/commit/231ab19c27c46cfd597c2febdc627b4ea425cf8e)) + +## [0.18.0](https://github.com/Aparencia/KeBan/compare/v0.17.1...v0.18.0) (2026-07-27) + +### ✨ 新功能 + +* v0.17.0 — 课堂模块组件化、课程智能检测与多模态分析增强 ([9f2cf56](https://github.com/Aparencia/KeBan/commit/9f2cf5678da78185335edfed629cf6b06967ea25)) + +## [0.17.1](https://github.com/Aparencia/KeBan/compare/v0.17.0...v0.17.1) (2026-07-26) + +### 🐛 缺陷修复 + +* **classroom:** 智能采集语音识别流式化+merge降级+去重复传输 ([cd26df0](https://github.com/Aparencia/KeBan/commit/cd26df0b6cce555908108fb9faa5204396aa2ec1)) + +## [0.17.0](https://github.com/Aparencia/KeBan/compare/v0.16.0...v0.17.0) (2026-07-25) + +### ✨ 新功能 + +* **classroom:** 课堂助手模式UI优化、窗口智能识别与笔记生成加速 ([aad3c6c](https://github.com/Aparencia/KeBan/commit/aad3c6c9680501c52384f6fc3d656d5f0d39645d)) + +## [0.16.0](https://github.com/Aparencia/KeBan/compare/v0.15.0...v0.16.0) (2026-07-25) + +### ✨ 新功能 + +* v0.15.1 — Ollama 本地模型接入、AI 处理器重构与认证体系增强 ([8bcad71](https://github.com/Aparencia/KeBan/commit/8bcad7141c270f5ec585f3ea3587d18aa4f01b57)) diff --git a/LICENSE b/LICENSE index 7cd150aa..f248ca0f 100644 --- a/LICENSE +++ b/LICENSE @@ -1,100 +1,100 @@ -Business Source License 1.1 - -Parameters - -Licensor: KeBan (课伴) Copyright Holder -Licensed Work: KeBan (课伴) - AI-Powered Learning Companion - The Licensed Work is (c) 2025-2026 KeBan Contributors. -Additional Use Grant: You may make use of the Licensed Work, provided that - you do not use the Licensed Work for a Production - Purpose that competes with the Licensed Work. - "Production Purpose" means any use that is intended - for or directed to commercial advantage or monetary - compensation. Non-commercial personal use, educational - use by students, and internal evaluation are permitted. -Change Date: Four years from the date the Licensed Work is - published. -Change License: Apache License, Version 2.0 - -For information about alternative licensing arrangements for the Software, -please contact the Licensor. - -Notice - -The Business Source License (this document, or the "License") is not an Open -Source license. However, the Licensed Work will eventually be made available -under an Open Source License, as stated in this License. - -License text copyright (c) 2017 MariaDB Corporation Ab, All Rights Reserved. -"Business Source License" is a trademark of MariaDB Corporation Ab. - ------------------------------------------------------------------------------ - -Business Source License 1.1 - -Terms - -The Licensor hereby grants you the right to copy, modify, create derivative -works, redistribute, and make non-production use of the Licensed Work. 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To specify as the Change License the GPL Version 2.0 or any later version, - or a license that is compatible with GPL Version 2.0 or a later version, - where "compatible" means that software provided under the Change License - can be included in a program with software provided under GPL Version 2.0 - or a later version. Licensor may specify additional Change Licenses without - limitation. - -2. To either: (a) specify an additional grant of rights to use that does not - impose any additional restriction on the right granted in this License, as - the Additional Use Grant; or (b) insert the text "None". - -3. To specify a Change Date. - -4. Not to modify this License in any other way. +Business Source License 1.1 + +Parameters + +Licensor: KeBan (课伴) Copyright Holder +Licensed Work: KeBan (课伴) - AI-Powered Learning Companion + The Licensed Work is (c) 2025-2026 KeBan Contributors. +Additional Use Grant: You may make use of the Licensed Work, provided that + you do not use the Licensed Work for a Production + Purpose that competes with the Licensed Work. + "Production Purpose" means any use that is intended + for or directed to commercial advantage or monetary + compensation. Non-commercial personal use, educational + use by students, and internal evaluation are permitted. +Change Date: Four years from the date the Licensed Work is + published. +Change License: Apache License, Version 2.0 + +For information about alternative licensing arrangements for the Software, +please contact the Licensor. + +Notice + +The Business Source License (this document, or the "License") is not an Open +Source license. However, the Licensed Work will eventually be made available +under an Open Source License, as stated in this License. + +License text copyright (c) 2017 MariaDB Corporation Ab, All Rights Reserved. +"Business Source License" is a trademark of MariaDB Corporation Ab. + +----------------------------------------------------------------------------- + +Business Source License 1.1 + +Terms + +The Licensor hereby grants you the right to copy, modify, create derivative +works, redistribute, and make non-production use of the Licensed Work. 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This License applies +separately for each version of the Licensed Work and the Change Date may +vary for each version of the Licensed Work released by Licensor. + +You must conspicuously display this License on each original or modified copy +of the Licensed Work. If you receive the Licensed Work in original or +modified form from a third party, the terms and conditions set forth in this +License apply to your use of that work. + +Any use of the Licensed Work in violation of this License will automatically +terminate your rights under this License for the current and all other +versions of the Licensed Work. + +This License does not grant you any right in any trademark or logo of +Licensor or its affiliates (provided that you may use a trademark or logo of +Licensor as expressly required by this License). + +TO THE EXTENT PERMITTED BY APPLICABLE LAW, THE LICENSED WORK IS PROVIDED ON +AN "AS IS" BASIS. LICENSOR HEREBY DISCLAIMS ALL WARRANTIES AND CONDITIONS, +EXPRESS OR IMPLIED, INCLUDING (WITHOUT LIMITATION) WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, NON-INFRINGEMENT, AND +TITLE. + +MariaDB hereby grants you permission to use this License's text to license +your works, and to refer to it using the trademark "Business Source License", +as long as you comply with the Covenants of Licensor below. + +Covenants of Licensor + +In consideration of the right to use this License's text and the "Business +Source License" name and trademark, Licensor covenants to MariaDB, and to all +other recipients of the licensed work to be provided by Licensor: + +1. To specify as the Change License the GPL Version 2.0 or any later version, + or a license that is compatible with GPL Version 2.0 or a later version, + where "compatible" means that software provided under the Change License + can be included in a program with software provided under GPL Version 2.0 + or a later version. Licensor may specify additional Change Licenses without + limitation. + +2. To either: (a) specify an additional grant of rights to use that does not + impose any additional restriction on the right granted in this License, as + the Additional Use Grant; or (b) insert the text "None". + +3. To specify a Change Date. + +4. Not to modify this License in any other way. diff --git a/README.md b/README.md index e87b663f..4e89e076 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@

-

📚 课伴 KeBan

+

📚 熵减 Entropydecrease

你的 AI 智能学习伙伴 — 让每一分钟学习都高效有价值

Status @@ -10,13 +10,13 @@ --- -## 📝 关于课伴 +## 📝 关于熵减 -**课伴（KeBan）** 是一款面向学生和终身学习者的高效学习桌面应用。它围绕全场景学习需求，基于费曼学习法、间隔重复等科学方法论，将时间管理、笔记记录、记忆巩固和深度理解整合在一个工具中，帮助你建立科学的学习闭环。 +**熵减（Entropydecrease）** 是一款面向学生和终身学习者的高效学习桌面应用。它围绕全场景学习需求，基于费曼学习法、间隔重复等科学方法论，将时间管理、笔记记录、记忆巩固和深度理解整合在一个工具中，帮助你建立科学的学习闭环。 **解决的核心痛点：** -| 痛点 | 课伴方案 | +| 痛点 | 熵减方案 | |------|----------| | 学习时容易走神、效率低 | 沉浸式番茄钟 + 滑动退出 + 后台不中断计时 | | 网课内容记不下来 | 网课笔记提取：自动截屏 + AI 视觉识别 + ASR 语音转写 | @@ -33,7 +33,7 @@ ## ✨ 核心功能 -课伴围绕 **"学 → 记 → 练 → 悟 → 思"** 学习闭环，提供六大模块： +熵减围绕 **"学 → 记 → 练 → 悟 → 思"** 学习闭环，提供六大模块： ### 🍅 番茄钟 — 时间管理 @@ -153,8 +153,8 @@ ```bash # 克隆仓库 -git clone https://github.com/Aparencia/KeBan.git -cd KeBan/client +git clone https://github.com/Aparencia/Entropydecrease.git +cd Entropydecrease/client # 安装依赖并启动开发服务器 npm install @@ -172,14 +172,14 @@ npm run electron:build 构建产物位于 `client/release/` 目录，格式为 Windows NSIS（`.exe`），支持当前用户安装，无需管理员权限。应用内置自动更新功能。 -也可以从 [GitHub Releases](https://github.com/Aparencia/KeBan/releases) 页面直接下载最新安装包。 +也可以从 [GitHub Releases](https://github.com/Aparencia/Entropydecrease/releases) 页面直接下载最新安装包。 --- ## 📁 项目结构 ``` -KeBan/ +Entropydecrease/ ├── client/ # 前端客户端（React + Electron 桌面应用） │ ├── src/features/ # 业务功能模块（番茄钟、笔记、闪卡、费曼、灵感、仪表盘） │ ├── src/lib/ # 核心库（AI、存储、同步、加密、网络、捕获、音效等） diff --git a/client/.env.example b/client/.env.example index c428dc0d..418cf68e 100644 --- a/client/.env.example +++ b/client/.env.example @@ -1,30 +1,30 @@ -# ============================================ -# 课伴 KeBan - 环境变量配置模板 -# 复制此文件为 .env 并填入实际值 -# ============================================ - -# ---- Supabase 配置 ---- -# Supabase 项目 URL（从 Supabase Dashboard 获取） -VITE_SUPABASE_URL= -# Supabase 匿名公钥（从 Supabase Dashboard 获取） -VITE_SUPABASE_ANON_KEY= - -# ---- API 服务地址 ---- -# 同步服务（sync-service）基础地址 -# 开发环境: http://127.0.0.1:8080 -# 生产环境: https://entropydecrease.com -VITE_API_BASE_URL=https://entropydecrease.com - -# 同步服务健康检查端点 -VITE_API_HEALTH_URL=https://entropydecrease.com/health - -# ---- AI 网关 ---- -# AI Gateway 服务地址 -# 开发环境: http://127.0.0.1:8000 -# 生产环境: https://entropydecrease.com -VITE_AI_GATEWAY_URL=https://entropydecrease.com - -# ---- Ollama 本地推理（可选） ---- -# Ollama 服务地址，默认自动检测 localhost:11434 -# 仅在自定义端口或远程 Ollama 时需要配置 -# VITE_OLLAMA_BASE_URL=http://localhost:11434 +# ============================================ +# 熵减 Entropydecrease - 环境变量配置模板 +# 复制此文件为 .env 并填入实际值 +# ============================================ + +# ---- Supabase 配置 ---- +# Supabase 项目 URL（从 Supabase Dashboard 获取） +VITE_SUPABASE_URL= +# Supabase 匿名公钥（从 Supabase Dashboard 获取） +VITE_SUPABASE_ANON_KEY= + +# ---- API 服务地址 ---- +# 同步服务（sync-service）基础地址 +# 开发环境: http://127.0.0.1:8080 +# 生产环境: https://entropydecrease.com +VITE_API_BASE_URL=https://entropydecrease.com + +# 同步服务健康检查端点 +VITE_API_HEALTH_URL=https://entropydecrease.com/health + +# ---- AI 网关 ---- +# AI Gateway 服务地址 +# 开发环境: http://127.0.0.1:8000 +# 生产环境: https://entropydecrease.com +VITE_AI_GATEWAY_URL=https://entropydecrease.com + +# ---- Ollama 本地推理（可选） ---- +# Ollama 服务地址，默认自动检测 localhost:11434 +# 仅在自定义端口或远程 Ollama 时需要配置 +# VITE_OLLAMA_BASE_URL=http://localhost:11434 diff --git a/client/.gitignore b/client/.gitignore deleted file mode 100644 index 6618bdad..00000000 --- a/client/.gitignore +++ /dev/null @@ -1,30 +0,0 @@ -# Environment variables -.env -.env.local -.env.test -.env.*.local - -# Logs -logs -*.log -npm-debug.log* -yarn-debug.log* -yarn-error.log* -pnpm-debug.log* -lerna-debug.log* - -node_modules -dist -dist-ssr -*.local - -# Editor directories and files -.vscode/* -!.vscode/extensions.json -.idea -.DS_Store -*.suo -*.ntvs* -*.njsproj -*.sln -*.sw? diff --git a/client/.oxlintrc.json b/client/.oxlintrc.json index 6fa991da..d2ffbe25 100644 --- a/client/.oxlintrc.json +++ b/client/.oxlintrc.json @@ -1,8 +1,8 @@ -{ - "$schema": "./node_modules/oxlint/configuration_schema.json", - "plugins": ["react", "typescript", "oxc"], - "rules": { - "react/rules-of-hooks": "error", - "react/only-export-components": ["warn", { "allowConstantExport": true }] - } -} +{ + "$schema": "./node_modules/oxlint/configuration_schema.json", + "plugins": ["react", "typescript", "oxc"], + "rules": { + "react/rules-of-hooks": "error", + "react/only-export-components": ["warn", { "allowConstantExport": true }] + } +} diff --git a/client/app-icon.png b/client/app-icon.png deleted file mode 100644 index 0855ce3b..00000000 --- a/client/app-icon.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:2a74e719bd28b88bb4bd5d89d3f96aedff01506040daec8e3523e3ab0b1f5a89 -size 550442 diff --git a/client/components.json b/client/components.json index 0eb78712..153487b6 100644 --- a/client/components.json +++ b/client/components.json @@ -1,19 +1,19 @@ -{ - "$schema": "https://ui.shadcn.com/schema.json", - "style": "default", - "rsc": false, - "tsx": true, - "tailwind": { - "config": "tailwind.config.js", - "css": "src/styles/tokens.css", - "baseColor": "neutral", - "cssVariables": true - }, - "aliases": { - "components": "@/components", - "utils": "@/lib/utils", - "ui": "@/components/ui", - "lib": "@/lib", - "hooks": "@/hooks" - } -} +{ + "$schema": "https://ui.shadcn.com/schema.json", + "style": "default", + "rsc": false, + "tsx": true, + "tailwind": { + "config": "tailwind.config.js", + "css": "src/styles/tokens.css", + "baseColor": "neutral", + "cssVariables": true + }, + "aliases": { + "components": "@/components", + "utils": "@/lib/utils", + "ui": "@/components/ui", + "lib": "@/lib", + "hooks": "@/hooks" + } +} diff --git a/client/electron-builder.yml b/client/electron-builder.yml index b3023594..3d6b8365 100644 --- a/client/electron-builder.yml +++ b/client/electron-builder.yml @@ -3,8 +3,8 @@ appId: com.entropydecrease.app productName: "Entropy decrease" publish: provider: github - owner: YourGitHubUsername - repo: KeBan + owner: Aparencia + repo: Entropydecrease directories: output: release buildResources: build diff --git a/client/electron/ai/gatewayConfig.ts b/client/electron/ai/gatewayConfig.ts new file mode 100644 index 00000000..fcf4a3bf --- /dev/null +++ b/client/electron/ai/gatewayConfig.ts @@ -0,0 +1,117 @@ +/** + * AI 网关地址管理（主进程侧） + * + * @ai-context: 从 ai/utils.ts 拆出。地址解析优先级按模式分流： + * 开发=env > IPC运行时 > 默认；生产=IPC/持久化 > env > 默认。 + * 开发模式不写持久化文件（防调试数据污染生产配置）。 + * 持久化文件为 userData/ai-gateway-config.json。 + * @ai-context: DEFAULT_GATEWAY_URL 与 cspPolicy.ts、渲染进程 config.ts + * 三处需保持一致；修改默认域名需三处同步。 + */ +import { app } from 'electron'; +import * as path from 'path'; +import { readFile, writeFile } from 'fs/promises'; +import { logger } from '../logger.js'; + +const DEFAULT_GATEWAY_URL = 'https://entropydecrease.com'; +const GATEWAY_CONFIG_FILE = 'ai-gateway-config.json'; + +// ── 运行时网关地址（渲染进程通过 IPC 同步） ── +let _runtimeGatewayUrl: string | null = null; + +/** 记录 gatewayUrl() 是否已打印过首次解析日志，避免重复输出 */ +let _gatewayFirstResolveLogged = false; + +/** + * 判定当前是否为开发模式 + * 可靠依据：electron:dev 脚本设置 NODE_ENV=development，安装包运行时 app.isPackaged=true + */ +export function isDevMode(): boolean { + return process.env.NODE_ENV === 'development' || !app.isPackaged; +} + +/** + * 获取 AI 网关地址 + * + * 按模式分流优先级： + * - 开发模式：环境变量 > 运行时 IPC > 默认值 + * - 生产模式：运行时 IPC > 持久化文件(已存入_runtimeGatewayUrl) > 环境变量 > 默认值 + */ +export function gatewayUrl(): string { + const url = _resolveGatewayUrl(); + if (!_gatewayFirstResolveLogged) { + _gatewayFirstResolveLogged = true; + const dev = isDevMode(); + const source = dev + ? (process.env.VITE_AI_GATEWAY_URL + ? `env (VITE_AI_GATEWAY_URL=${process.env.VITE_AI_GATEWAY_URL})` + : _runtimeGatewayUrl + ? 'runtime (IPC)' + : 'DEFAULT (hardcoded fallback)') + : (_runtimeGatewayUrl + ? 'runtime (IPC/persisted)' + : process.env.VITE_AI_GATEWAY_URL + ? `env (VITE_AI_GATEWAY_URL=${process.env.VITE_AI_GATEWAY_URL})` + : 'DEFAULT (hardcoded fallback)'); + logger.info(`[AI] Gateway URL resolved: ${url} [source: ${source}, mode: ${dev ? 'dev' : 'prod'}]`); + if (!process.env.VITE_AI_GATEWAY_URL && !_runtimeGatewayUrl) { + logger.warn('[AI] Gateway URL fell back to DEFAULT. Set VITE_AI_GATEWAY_URL in .env or configure via AI settings.'); + } + } + return url; +} + +/** 内部解析逻辑，按模式分流优先级 */ +function _resolveGatewayUrl(): string { + if (isDevMode()) { + // 开发模式：环境变量优先，持久化不覆盖开发配置 + return process.env.VITE_AI_GATEWAY_URL || _runtimeGatewayUrl || DEFAULT_GATEWAY_URL; + } + // 生产模式：运行时/持久化 > 环境变量 > 默认值 + return _runtimeGatewayUrl || process.env.VITE_AI_GATEWAY_URL || DEFAULT_GATEWAY_URL; +} + +/** + * 设置运行时网关地址（由渲染进程通过 IPC 调用） + * 同时持久化到 userData 目录，确保主进程重启后仍可用 + */ +export async function setRuntimeGatewayUrl(url: string): Promise { + _runtimeGatewayUrl = url; + // 重置首次解析日志标记，使下次 gatewayUrl() 重新打印来源 + _gatewayFirstResolveLogged = false; + logger.info(`[AI] Runtime gateway URL set via IPC: ${url}`); + // 开发模式不写入持久化文件，防止调试数据污染生产配置 + if (isDevMode()) { + logger.info('[AI] Dev mode: skip persisting gateway URL to file'); + return; + } + // 持久化到文件 + try { + const configPath = path.join(app.getPath('userData'), GATEWAY_CONFIG_FILE); + await writeFile(configPath, JSON.stringify({ gatewayUrl: url }), 'utf-8'); + } catch (err) { + logger.error('[AI-Gateway] Failed to persist gateway URL', err); + } +} + +/** + * 应用启动时从持久化文件加载网关地址 + * 在 registerAIHandlers 之前调用 + */ +export async function loadPersistedGatewayUrl(): Promise { + if (isDevMode()) { + logger.info('[AI] Dev mode: skip loading persisted gateway URL (using .env config)'); + return; + } + try { + const configPath = path.join(app.getPath('userData'), GATEWAY_CONFIG_FILE); + const raw = await readFile(configPath, 'utf-8'); + const config = JSON.parse(raw); + if (config.gatewayUrl) { + _runtimeGatewayUrl = config.gatewayUrl; + logger.info(`[AI] Loaded persisted gateway URL from file: ${config.gatewayUrl}`); + } + } catch { + // 文件不存在或解析失败，静默忽略 + } +} diff --git a/client/electron/ai/gatewayHttp.ts b/client/electron/ai/gatewayHttp.ts new file mode 100644 index 00000000..ebc6bd56 --- /dev/null +++ b/client/electron/ai/gatewayHttp.ts @@ -0,0 +1,186 @@ +/** + * AI 网关 HTTP 请求层（postJson / postMultipart / 降级链） + * + * @ai-context: 从 ai/utils.ts 拆出。executePost 统一 JSON 与 multipart + * 两种请求的公共骨架（超时/日志/req-id/错误诊断/响应解析），消除原 + * 两函数 80 行重复；错误诊断按 ECONNREFUSED/ENOTFOUND/ETIMEDOUT 给出 + * 运维提示。X-Request-ID 贯穿网关日志链路。 + * @ai-context: callWithLocalFallback 是"本地优先、云端降级"的核心： + * Ollama 启用且运行 → localHandler，失败静默降级 postJson； + * source 字段（'local'|'remote'）供渲染层展示推理来源，勿删。 + */ +import { randomUUID } from 'crypto'; +import { logger } from '../logger.js'; +import { gatewayUrl } from './gatewayConfig.js'; +import { isLocalInferenceEnabled } from './ollama/config.js'; +import { isOllamaAvailable } from './ollama/OllamaService.js'; + +/** 构建公共请求头（JSON 模式含 Content-Type，multipart 由 fetch 自动生成） */ +function buildHeaders(clientRequestId: string, json: boolean, authToken?: string, userApiKey?: string): Record { + const headers: Record = { 'X-Request-ID': clientRequestId }; + if (json) headers['Content-Type'] = 'application/json'; + if (authToken) headers['Authorization'] = `Bearer ${authToken}`; + if (userApiKey) headers['X-User-API-Key'] = userApiKey; + return headers; +} + +/** 网络错误诊断日志（常见错误码给出运维提示） */ +function logNetworkHint(errDetail: string): void { + if (/ECONNREFUSED/i.test(errDetail)) { + logger.error('[AI] Hint: Connection refused — check if AI Gateway service is running and the URL is correct'); + } else if (/ENOTFOUND/i.test(errDetail)) { + logger.error('[AI] Hint: DNS resolution failed — check the gateway URL hostname'); + } else if (/ETIMEDOUT/i.test(errDetail)) { + logger.error('[AI] Hint: Connection timed out — check network connectivity and firewall rules'); + } +} + +/** + * POST 公共骨架：超时控制 + 日志 + req-id + 错误诊断 + JSON 响应解析 + */ +async function executePost( + apiPath: string, + requestBody: string | FormData, + isJson: boolean, + bodyDesc: string, + authToken?: string, + userApiKey?: string, + timeoutMs: number = 60000, +): Promise<{ data: TRes; requestId: string | undefined }> { + const base = gatewayUrl(); + if (!base) { + throw new Error('[AI] Gateway URL not configured. Set VITE_AI_GATEWAY_URL in .env or configure via AI settings'); + } + const url = `${base}${apiPath}`; + const startTime = Date.now(); + const clientRequestId = randomUUID(); + + // ── 请求前日志 ── + logger.info(`[AI] → POST ${url} [req-id: ${clientRequestId}]`); + logger.debug(`[AI] Request config: timeout=${timeoutMs}ms, hasAuth=${!!authToken}, hasUserKey=${!!userApiKey}, ${bodyDesc}`); + + const headers = buildHeaders(clientRequestId, isJson, authToken, userApiKey); + + const controller = new AbortController(); + const timeoutId = setTimeout(() => controller.abort(), timeoutMs); + + let resp: Response; + try { + resp = await fetch(url, { + method: 'POST', + headers, + body: requestBody, + signal: controller.signal, + }); + } catch (networkError: unknown) { + const elapsed = Date.now() - startTime; + const err = networkError as { name?: string; message?: string; cause?: unknown }; + if (err.name === 'AbortError') { + logger.error(`[AI] ✖ TIMEOUT ${url} after ${elapsed}ms`); + throw new Error(`Request timeout after ${timeoutMs}ms`); + } + // 详细网络错误诊断 + const cause = err.cause ? String(err.cause) : ''; + const errDetail = err.message || String(networkError); + logger.error(`[AI] ✖ NETWORK_ERROR ${url} after ${elapsed}ms: ${errDetail}${cause ? ` (cause: ${cause})` : ''}`); + logNetworkHint(errDetail); + throw new Error(`Network error: ${errDetail}`); + } finally { + clearTimeout(timeoutId); + } + + const elapsed = Date.now() - startTime; + const requestId = resp.headers.get('ai-gateway-request-id') ?? undefined; + + if (!resp.ok) { + const detail = await resp.text().catch(() => 'unknown error'); + // 截取响应体前 500 字符防止日志爆炸 + const detailPreview = detail.length > 500 ? `${detail.slice(0, 500)}...(+${detail.length - 500} chars)` : detail; + logger.error(`[AI] ✖ HTTP ${resp.status} ${url} (${elapsed}ms) [req-id: ${requestId ?? clientRequestId}]: ${detailPreview}`); + throw new Error(`HTTP ${resp.status}: ${detail}`); + } + + logger.info(`[AI] ← ${resp.status} ${url} (${elapsed}ms)${requestId ? ` [req-id: ${requestId}]` : ''}`); + + try { + const data = (await resp.json()) as TRes; + return { data, requestId }; + } catch (e) { + logger.error(`[AI] Response JSON parse error for ${url}: ${e}`); + throw new Error(`Response parse error: ${e}`); + } +} + +/** + * 通用 POST 请求辅助函数： + * 1. 将请求体序列化为 JSON + * 2. 如有 authToken，添加 Authorization header + * 3. HTTP 失败时抛出包含状态码和详情的错误字符串 + * 4. 返回解析后的 JSON 响应 + */ +export async function postJson( + apiPath: string, + body: TReq, + authToken?: string, + userApiKey?: string, + timeoutMs: number = 60000, +): Promise<{ data: TRes; requestId: string | undefined }> { + const bodyDesc = `bodyKeys=${Object.keys(body as Record).join(',')}`; + return executePost(apiPath, JSON.stringify(body), true, bodyDesc, authToken, userApiKey, timeoutMs); +} + +/** + * Multipart POST 请求辅助函数： + * 1. 不设置 Content-Type header（Node.js fetch 自动设置 multipart/form-data; boundary=...） + * 2. body 直接传 FormData（不做 JSON.stringify） + * 3. 默认超时 300000ms（5 分钟，视频文件较大） + */ +export async function postMultipart( + apiPath: string, + formData: FormData, + authToken?: string, + userApiKey?: string, + timeoutMs: number = 300000, +): Promise<{ data: TRes; requestId: string | undefined }> { + return executePost(apiPath, formData, false, 'body=FormData', authToken, userApiKey, timeoutMs); +} + +/** + * 带本地 Ollama 降级的调用函数 + * + * 逻辑： + * 1. 检查 OllamaConfig.enabled && OllamaService.isRunning() + * 2. 是 → 调用 localHandler()，成功则返回 { source: 'local' } + * 3. 本地失败/未启用 → 调用现有 postJson()（远程 AI Gateway） + */ +export async function callWithLocalFallback( + apiPath: string, + body: TReq, + localHandler: () => Promise, + authToken?: string, + userApiKey?: string, + timeoutMs: number = 60000, +): Promise<{ data: TRes; source: 'local' | 'remote'; requestId?: string }> { + // 检查本地 Ollama 是否可用 + if (isLocalInferenceEnabled() && isOllamaAvailable()) { + try { + const localResult = await localHandler(); + logger.info(`[AI] ← Local Ollama success for ${apiPath}`); + return { data: localResult, source: 'local' }; + } catch (localErr) { + const errMsg = localErr instanceof Error ? localErr.message : String(localErr); + logger.warn(`[AI] Local Ollama failed for ${apiPath}, falling back to remote: ${errMsg}`); + // 本地失败，降级到远程 + } + } + + // 远程 AI Gateway 调用 + const { data, requestId } = await postJson( + apiPath, + body, + authToken, + userApiKey, + timeoutMs, + ); + return { data, source: 'remote', requestId }; +} diff --git a/client/electron/ai/gatewayStream.ts b/client/electron/ai/gatewayStream.ts new file mode 100644 index 00000000..340b6c1c --- /dev/null +++ b/client/electron/ai/gatewayStream.ts @@ -0,0 +1,122 @@ +/** + * AI 网关流式请求层（SSE 解析） + * + * @ai-context: 从 ai/utils.ts 拆出。按 \n\n 分割 SSE 事件、data: 行 + * 逐 chunk yield；[DONE] 结束、parsed.error 抛错、JSON 解析失败时 + * 回退为纯文本 yield（网关某些端点直接输出文本片段）。 + * 消费方为 streamHandler.ts（转发到渲染进程 ai:stream:* 事件）。 + */ +import { randomUUID } from 'crypto'; +import { logger } from '../logger.js'; +import { gatewayUrl } from './gatewayConfig.js'; + +/** + * 流式 POST 请求：解析 SSE data: 行，逐 chunk yield 文本 + */ +export async function* postJsonStream( + apiPath: string, + body: TReq, + authToken?: string, + userApiKey?: string, + timeoutMs: number = 300000, +): AsyncGenerator { + const base = gatewayUrl(); + if (!base) { + throw new Error('[AI] Gateway URL not configured'); + } + const url = `${base}${apiPath}`; + const clientRequestId = randomUUID(); + + logger.info(`[AI] → POST (stream) ${url} [req-id: ${clientRequestId}]`); + + const headers: Record = { + 'Content-Type': 'application/json', + 'X-Request-ID': clientRequestId, + }; + if (authToken) { + headers['Authorization'] = `Bearer ${authToken}`; + } + if (userApiKey) { + headers['X-User-API-Key'] = userApiKey; + } + + const controller = new AbortController(); + const timeoutId = setTimeout(() => controller.abort(), timeoutMs); + + let resp: Response; + try { + resp = await fetch(url, { + method: 'POST', + headers, + body: JSON.stringify(body), + signal: controller.signal, + }); + } catch (networkError: unknown) { + const err = networkError as { name?: string; message?: string }; + if (err.name === 'AbortError') { + throw new Error(`Stream request timeout after ${timeoutMs}ms`); + } + throw new Error(`Stream network error: ${err.message || String(networkError)}`); + } finally { + clearTimeout(timeoutId); + } + + const requestId = resp.headers.get('ai-gateway-request-id') ?? undefined; + + if (!resp.ok) { + const detail = await resp.text().catch(() => 'unknown error'); + logger.error(`[AI] ✖ Stream HTTP ${resp.status} ${url} [req-id: ${requestId ?? clientRequestId}]: ${detail.slice(0, 200)}`); + throw new Error(`Stream HTTP ${resp.status}: ${detail}`); + } + + logger.info(`[AI] ← Stream started ${url}${requestId ? ` [req-id: ${requestId}]` : ''}`); + + if (!resp.body) { + throw new Error('Stream response body is null'); + } + + const reader = resp.body.getReader(); + const decoder = new TextDecoder(); + let buffer = ''; + + try { + while (true) { + const { done, value } = await reader.read(); + if (done) break; + + buffer += decoder.decode(value, { stream: true }); + + // 按 \n\n 分割 SSE 事件 + const events = buffer.split('\n\n'); + buffer = events.pop() || ''; + + for (const event of events) { + const lines = event.split('\n'); + for (const line of lines) { + if (line.startsWith('data: ')) { + const data = line.slice(6).trim(); + if (data === '[DONE]') { + return; + } + try { + const parsed = JSON.parse(data); + if (parsed.error) { + throw new Error(`Stream error: ${parsed.error}`); + } + if (parsed.chunk) { + yield parsed.chunk; + } + } catch (e) { + // JSON 解析失败，尝试作为纯文本 + if (data && data !== '[DONE]') { + yield data; + } + } + } + } + } + } + } finally { + reader.releaseLock(); + } +} diff --git a/client/electron/ai/handlers/anchorPointHandler.ts b/client/electron/ai/handlers/anchorPointHandler.ts index 70b4f4db..dad35cbe 100644 --- a/client/electron/ai/handlers/anchorPointHandler.ts +++ b/client/electron/ai/handlers/anchorPointHandler.ts @@ -1,109 +1,111 @@ -/** - * AI 记忆锚点生成功能 Handler - * - * 处理 ai_anchor_point IPC 请求，调用 AI 网关从笔记内容生成记忆锚点。 - */ - -import { safeHandle } from '../../ipcUtils.js'; -import { logger } from '../../logger.js'; -import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; -import { generateText } from '../ollama/OllamaProvider.js'; - -// ================================================================ -// IPC Handler -// ================================================================ - -/** - * ai_anchor_point — POST /api/v1/ai/anchor-point - */ -function register(): void { - safeHandle( - 'ai_anchor_point', - async ( - _event, - args: { - content: string; - title?: string; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - logger.info(`[AI] [anchor-point] IPC received: content_length=${args.content.length}, title=${args.title ?? '(empty)'}, hasAuth=${!!args.authToken}`); - logger.debug(`[AI] [anchor-point] Content preview: ${args.content.slice(0, 80)}...`); - - const reqBody = { - content: args.content, - title: args.title ?? '', - }; - - logger.info(`[AI] [anchor-point] Target: ${gatewayUrl()}/api/v1/ai/anchor-point`); - - interface AnchorPointResp { - concept: string; - association: string; - memory_technique: string; - importance: number; - } - interface AnchorPointGenResp { - anchor_points: AnchorPointResp[]; - status: string; - model: string; - tokens_used: number; - latency_ms: number; - } - - try { - const localHandler = async (): Promise => { - const prompt = `从以下笔记中生成记忆锚点，返回JSON: {"anchor_points": [{"concept": "...", "association": "...", "memory_technique": "...", "importance": 0.8}], "status": "ok"}\n\n笔记：\n${args.content}`; - const result = await generateText(prompt, '你是一个记忆锚点生成助手。请仅返回JSON。', { temperature: 0.6, maxTokens: 1024 }); - const parsed = JSON.parse(result.content); - return { anchor_points: parsed.anchor_points ?? [], status: 'ok', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/ai/anchor-point', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 60000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [anchor-point] ✔ Success (${source}): anchor_points=${resp.anchor_points.length}, status=${resp.status}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - anchorPoints: resp.anchor_points.map((ap: { concept: string; association: string; memory_technique: string; importance: number }) => ({ - concept: ap.concept, - association: ap.association, - memoryTechnique: ap.memory_technique, - importance: ap.importance, - })), - status: resp.status, - model: resp.model, - tokensUsed: resp.tokens_used, - latencyMs: resp.latency_ms, - requestId, - source, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [anchor-point] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [anchor-point] Error cause: ${error.cause}`); - throw error; - } - }, - ); -} - -// ================================================================ -// 功能定义导出 -// ================================================================ - -export const feature: AIFeatureDef = { - id: 'ai_anchor_point', - name: 'AI 记忆锚点', - version: '1.0.0', - register, -}; +/** + * AI 记忆锚点生成功能 Handler + * + * 处理 ai_anchor_point IPC 请求，调用 AI 网关从笔记内容生成记忆锚点。 + * + * @ai-context: 记忆锚点生成 IPC handler——AIFeatureDef 注册表模式，经 callWithLocalFallback 支持本地 Ollama 优先/云端网关降级；请求响应契约与网关 Pydantic model 对齐。 + */ + +import { safeHandle } from '../../ipcUtils.js'; +import { logger } from '../../logger.js'; +import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; +import { generateText } from '../ollama/OllamaProvider.js'; + +// ================================================================ +// IPC Handler +// ================================================================ + +/** + * ai_anchor_point — POST /api/v1/ai/anchor-point + */ +function register(): void { + safeHandle( + 'ai_anchor_point', + async ( + _event, + args: { + content: string; + title?: string; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + logger.info(`[AI] [anchor-point] IPC received: content_length=${args.content.length}, title=${args.title ?? '(empty)'}, hasAuth=${!!args.authToken}`); + logger.debug(`[AI] [anchor-point] Content preview: ${args.content.slice(0, 80)}...`); + + const reqBody = { + content: args.content, + title: args.title ?? '', + }; + + logger.info(`[AI] [anchor-point] Target: ${gatewayUrl()}/api/v1/ai/anchor-point`); + + interface AnchorPointResp { + concept: string; + association: string; + memory_technique: string; + importance: number; + } + interface AnchorPointGenResp { + anchor_points: AnchorPointResp[]; + status: string; + model: string; + tokens_used: number; + latency_ms: number; + } + + try { + const localHandler = async (): Promise => { + const prompt = `从以下笔记中生成记忆锚点，返回JSON: {"anchor_points": [{"concept": "...", "association": "...", "memory_technique": "...", "importance": 0.8}], "status": "ok"}\n\n笔记：\n${args.content}`; + const result = await generateText(prompt, '你是一个记忆锚点生成助手。请仅返回JSON。', { temperature: 0.6, maxTokens: 1024 }); + const parsed = JSON.parse(result.content); + return { anchor_points: parsed.anchor_points ?? [], status: 'ok', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/ai/anchor-point', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 60000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [anchor-point] ✔ Success (${source}): anchor_points=${resp.anchor_points.length}, status=${resp.status}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + anchorPoints: resp.anchor_points.map((ap: { concept: string; association: string; memory_technique: string; importance: number }) => ({ + concept: ap.concept, + association: ap.association, + memoryTechnique: ap.memory_technique, + importance: ap.importance, + })), + status: resp.status, + model: resp.model, + tokensUsed: resp.tokens_used, + latencyMs: resp.latency_ms, + requestId, + source, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [anchor-point] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [anchor-point] Error cause: ${error.cause}`); + throw error; + } + }, + ); +} + +// ================================================================ +// 功能定义导出 +// ================================================================ + +export const feature: AIFeatureDef = { + id: 'ai_anchor_point', + name: 'AI 记忆锚点', + version: '1.0.0', + register, +}; diff --git a/client/electron/ai/handlers/evaluateHandler.ts b/client/electron/ai/handlers/evaluateHandler.ts index 47364a63..cd71312f 100644 --- a/client/electron/ai/handlers/evaluateHandler.ts +++ b/client/electron/ai/handlers/evaluateHandler.ts @@ -1,126 +1,128 @@ -/** - * AI 评估功能 Handler - * - * 处理 ai_evaluate IPC 请求，调用 AI 网关评估用户对概念的解释。 - */ - -import { safeHandle } from '../../ipcUtils.js'; -import { logger } from '../../logger.js'; -import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; -import { generateText } from '../ollama/OllamaProvider.js'; - -// ================================================================ -// IPC Handler -// ================================================================ - -/** - * ai_evaluate — POST /api/v1/ai/evaluate-explanation - */ -function register(): void { - safeHandle( - 'ai_evaluate', - async ( - _event, - args: { - concept: string; - explanation: string; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - logger.info(`[AI] [evaluate] IPC received: concept_length=${args.concept.length}, explanation_length=${args.explanation.length}, hasAuth=${!!args.authToken}`); - logger.debug(`[AI] [evaluate] Concept: ${args.concept.slice(0, 60)}, Explanation preview: ${args.explanation.slice(0, 80)}...`); - - const reqBody = { - concept: args.concept, - explanation: args.explanation, - }; - - logger.info(`[AI] [evaluate] Target: ${gatewayUrl()}/api/v1/ai/evaluate-explanation`); - - interface DimensionResp { - dimension: string; - score: number; - feedback: string; - } - interface EvaluateResp { - overall_score: number; - dimensions: DimensionResp[]; - strengths: string[]; - improvements: string[]; - encouragement: string; - model: string; - tokens_used: number; - latency_ms: number; - } - - try { - const localHandler = async (): Promise => { - const prompt = `请评估以下对概念“${args.concept}”的解释：\n\n${args.explanation}\n\n请以JSON格式返回评估结果，格式为: {"overall_score": 75, "strengths": ["..."], "improvements": ["..."], "encouragement": "..."}`; - const result = await generateText(prompt, '你是一个费曼学习法评估助手，擅长评估学生对概念的理解程度。请仅返回JSON。', { temperature: 0.4, maxTokens: 1024 }); - try { - const parsed = JSON.parse(result.content); - return { - overall_score: parsed.overall_score ?? 60, - dimensions: [], - strengths: parsed.strengths ?? [], - improvements: parsed.improvements ?? [], - encouragement: parsed.encouragement ?? '继续加油！', - model: result.model, - tokens_used: result.tokens_used, - latency_ms: result.latency_ms, - }; - } catch { - return { overall_score: 60, dimensions: [], strengths: [], improvements: [], encouragement: result.content.slice(0, 200), model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; - } - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/ai/evaluate-explanation', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 40000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [evaluate] ✔ Success (${source}): overall_score=${resp.overall_score}, dimensions=${resp.dimensions.length}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - overallScore: resp.overall_score, - dimensions: resp.dimensions.map((d) => ({ - name: d.dimension, - score: d.score, - feedback: d.feedback, - })), - strengths: resp.strengths, - improvements: resp.improvements, - encouragement: resp.encouragement, - model: resp.model, - tokensUsed: resp.tokens_used, - latencyMs: resp.latency_ms, - requestId, - source, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [evaluate] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [evaluate] Error cause: ${error.cause}`); - throw error; - } - }, - ); -} - -// ================================================================ -// 功能定义导出 -// ================================================================ - -export const feature: AIFeatureDef = { - id: 'ai_evaluate', - name: 'AI 解释评估', - version: '1.0.0', - register, -}; +/** + * AI 评估功能 Handler + * + * 处理 ai_evaluate IPC 请求，调用 AI 网关评估用户对概念的解释。 + * + * @ai-context: 费曼解释评估 IPC handler——AIFeatureDef 注册表模式，经 callWithLocalFallback 支持本地 Ollama 优先/云端网关降级；请求响应契约与网关 Pydantic model 对齐。 + */ + +import { safeHandle } from '../../ipcUtils.js'; +import { logger } from '../../logger.js'; +import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; +import { generateText } from '../ollama/OllamaProvider.js'; + +// ================================================================ +// IPC Handler +// ================================================================ + +/** + * ai_evaluate — POST /api/v1/ai/evaluate-explanation + */ +function register(): void { + safeHandle( + 'ai_evaluate', + async ( + _event, + args: { + concept: string; + explanation: string; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + logger.info(`[AI] [evaluate] IPC received: concept_length=${args.concept.length}, explanation_length=${args.explanation.length}, hasAuth=${!!args.authToken}`); + logger.debug(`[AI] [evaluate] Concept: ${args.concept.slice(0, 60)}, Explanation preview: ${args.explanation.slice(0, 80)}...`); + + const reqBody = { + concept: args.concept, + explanation: args.explanation, + }; + + logger.info(`[AI] [evaluate] Target: ${gatewayUrl()}/api/v1/ai/evaluate-explanation`); + + interface DimensionResp { + dimension: string; + score: number; + feedback: string; + } + interface EvaluateResp { + overall_score: number; + dimensions: DimensionResp[]; + strengths: string[]; + improvements: string[]; + encouragement: string; + model: string; + tokens_used: number; + latency_ms: number; + } + + try { + const localHandler = async (): Promise => { + const prompt = `请评估以下对概念“${args.concept}”的解释：\n\n${args.explanation}\n\n请以JSON格式返回评估结果，格式为: {"overall_score": 75, "strengths": ["..."], "improvements": ["..."], "encouragement": "..."}`; + const result = await generateText(prompt, '你是一个费曼学习法评估助手，擅长评估学生对概念的理解程度。请仅返回JSON。', { temperature: 0.4, maxTokens: 1024 }); + try { + const parsed = JSON.parse(result.content); + return { + overall_score: parsed.overall_score ?? 60, + dimensions: [], + strengths: parsed.strengths ?? [], + improvements: parsed.improvements ?? [], + encouragement: parsed.encouragement ?? '继续加油！', + model: result.model, + tokens_used: result.tokens_used, + latency_ms: result.latency_ms, + }; + } catch { + return { overall_score: 60, dimensions: [], strengths: [], improvements: [], encouragement: result.content.slice(0, 200), model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; + } + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/ai/evaluate-explanation', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 40000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [evaluate] ✔ Success (${source}): overall_score=${resp.overall_score}, dimensions=${resp.dimensions.length}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + overallScore: resp.overall_score, + dimensions: resp.dimensions.map((d) => ({ + name: d.dimension, + score: d.score, + feedback: d.feedback, + })), + strengths: resp.strengths, + improvements: resp.improvements, + encouragement: resp.encouragement, + model: resp.model, + tokensUsed: resp.tokens_used, + latencyMs: resp.latency_ms, + requestId, + source, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [evaluate] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [evaluate] Error cause: ${error.cause}`); + throw error; + } + }, + ); +} + +// ================================================================ +// 功能定义导出 +// ================================================================ + +export const feature: AIFeatureDef = { + id: 'ai_evaluate', + name: 'AI 解释评估', + version: '1.0.0', + register, +}; diff --git a/client/electron/ai/handlers/feynmanHandler.ts b/client/electron/ai/handlers/feynmanHandler.ts index f0eaaee6..b100e925 100644 --- a/client/electron/ai/handlers/feynmanHandler.ts +++ b/client/electron/ai/handlers/feynmanHandler.ts @@ -1,180 +1,182 @@ -/** - * 费曼学习法功能 Handler - * - * 处理 ai_feynman_question 和 ai_feynman_evaluate_answers IPC 请求， - * 调用 AI 网关生成追问并评估用户回答。 - */ - -import { safeHandle } from '../../ipcUtils.js'; -import { logger } from '../../logger.js'; -import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; -import { generateText } from '../ollama/OllamaProvider.js'; - -// ================================================================ -// IPC Handler -// ================================================================ - -/** - * 注册费曼学习法相关的所有 IPC handler - */ -function register(): void { - /** - * ai_feynman_question — POST /api/v1/ai/feynman-question - */ - safeHandle( - 'ai_feynman_question', - async ( - _event, - args: { - concept: string; - explanation: string; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - logger.info(`[AI] [feynman-q] IPC received: concept_length=${args.concept.length}, explanation_length=${args.explanation.length}, hasAuth=${!!args.authToken}`); - logger.debug(`[AI] [feynman-q] Concept: ${args.concept.slice(0, 60)}`); - - const reqBody = { - concept: args.concept, - explanation: args.explanation, - }; - - logger.info(`[AI] [feynman-q] Target: ${gatewayUrl()}/api/v1/ai/feynman-question`); - - interface FeynmanQuestionResp { - questions: Array<{ question: string; focus: string }>; - model: string; - tokens_used: number; - latency_ms: number; - } - - try { - const localHandler = async (): Promise => { - const prompt = `针对概念“${args.concept}”和解释“${args.explanation}”，生成苏格拉底式追问，返回JSON: {"questions": [{"question": "...", "focus": "..."}]}`; - const result = await generateText(prompt, '你是一个费曼学习法追问助手。请仅返回JSON。', { temperature: 0.7, maxTokens: 1024 }); - const parsed = JSON.parse(result.content); - return { questions: parsed.questions ?? [], model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/ai/feynman-question', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 40000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [feynman-q] ✔ Success (${source}): questions=${resp.questions.length}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - questions: resp.questions.map((q: { question: string; focus: string }) => ({ - question: q.question, - focus: q.focus, - })), - model: resp.model, - tokensUsed: resp.tokens_used, - latencyMs: resp.latency_ms, - requestId, - source, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [feynman-q] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [feynman-q] Error cause: ${error.cause}`); - throw error; - } - }, - ); - - /** - * ai_feynman_evaluate_answers — POST /api/v1/ai/feynman-evaluate-answers - */ - safeHandle( - 'ai_feynman_evaluate_answers', - async ( - _event, - args: { - concept: string; - questions: string[]; - answers: string[]; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - logger.info(`[AI] [feynman-eval] IPC received: concept_length=${args.concept.length}, questions=${args.questions.length}, answers=${args.answers.length}, hasAuth=${!!args.authToken}`); - logger.debug(`[AI] [feynman-eval] Concept: ${args.concept.slice(0, 60)}, Q count=${args.questions.length}`); - - const reqBody = { - concept: args.concept, - questions: args.questions, - answers: args.answers, - }; - - logger.info(`[AI] [feynman-eval] Target: ${gatewayUrl()}/api/v1/ai/feynman-evaluate-answers`); - - interface FeynmanAnswerEvalResp { - understanding_score: number; - feedback: string; - strong_points: string[]; - weak_points: string[]; - model: string; - tokens_used: number; - latency_ms: number; - } - - try { - const localHandler = async (): Promise => { - const prompt = `评估用户对概念“${args.concept}”的回答，返回JSON: {"understanding_score": 70, "feedback": "...", "strong_points": ["..."], "weak_points": ["..."]}`; - const result = await generateText(prompt, '你是一个费曼学习法评估助手。请仅返回JSON。', { temperature: 0.4, maxTokens: 1024 }); - const parsed = JSON.parse(result.content); - return { understanding_score: parsed.understanding_score ?? 60, feedback: parsed.feedback ?? '', strong_points: parsed.strong_points ?? [], weak_points: parsed.weak_points ?? [], model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/ai/feynman-evaluate-answers', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 40000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [feynman-eval] ✔ Success (${source}): score=${resp.understanding_score}, strong=${resp.strong_points.length}, weak=${resp.weak_points.length}, model=${resp.model}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - understandingScore: resp.understanding_score, - feedback: resp.feedback, - strongPoints: resp.strong_points, - weakPoints: resp.weak_points, - model: resp.model, - tokensUsed: resp.tokens_used, - latencyMs: resp.latency_ms, - requestId, - source, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [feynman-eval] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [feynman-eval] Error cause: ${error.cause}`); - throw error; - } - }, - ); -} - -// ================================================================ -// 功能定义导出 -// ================================================================ - -export const feature: AIFeatureDef = { - id: 'ai_feynman', - name: '浮出水面', - version: '1.0.0', - register, -}; +/** + * 费曼学习法功能 Handler + * + * 处理 ai_feynman_question 和 ai_feynman_evaluate_answers IPC 请求， + * 调用 AI 网关生成追问并评估用户回答。 + * + * @ai-context: 费曼提问与答案评估 IPC handler——AIFeatureDef 注册表模式，经 callWithLocalFallback 支持本地 Ollama 优先/云端网关降级；请求响应契约与网关 Pydantic model 对齐。 + */ + +import { safeHandle } from '../../ipcUtils.js'; +import { logger } from '../../logger.js'; +import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; +import { generateText } from '../ollama/OllamaProvider.js'; + +// ================================================================ +// IPC Handler +// ================================================================ + +/** + * 注册费曼学习法相关的所有 IPC handler + */ +function register(): void { + /** + * ai_feynman_question — POST /api/v1/ai/feynman-question + */ + safeHandle( + 'ai_feynman_question', + async ( + _event, + args: { + concept: string; + explanation: string; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + logger.info(`[AI] [feynman-q] IPC received: concept_length=${args.concept.length}, explanation_length=${args.explanation.length}, hasAuth=${!!args.authToken}`); + logger.debug(`[AI] [feynman-q] Concept: ${args.concept.slice(0, 60)}`); + + const reqBody = { + concept: args.concept, + explanation: args.explanation, + }; + + logger.info(`[AI] [feynman-q] Target: ${gatewayUrl()}/api/v1/ai/feynman-question`); + + interface FeynmanQuestionResp { + questions: Array<{ question: string; focus: string }>; + model: string; + tokens_used: number; + latency_ms: number; + } + + try { + const localHandler = async (): Promise => { + const prompt = `针对概念“${args.concept}”和解释“${args.explanation}”，生成苏格拉底式追问，返回JSON: {"questions": [{"question": "...", "focus": "..."}]}`; + const result = await generateText(prompt, '你是一个费曼学习法追问助手。请仅返回JSON。', { temperature: 0.7, maxTokens: 1024 }); + const parsed = JSON.parse(result.content); + return { questions: parsed.questions ?? [], model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/ai/feynman-question', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 40000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [feynman-q] ✔ Success (${source}): questions=${resp.questions.length}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + questions: resp.questions.map((q: { question: string; focus: string }) => ({ + question: q.question, + focus: q.focus, + })), + model: resp.model, + tokensUsed: resp.tokens_used, + latencyMs: resp.latency_ms, + requestId, + source, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [feynman-q] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [feynman-q] Error cause: ${error.cause}`); + throw error; + } + }, + ); + + /** + * ai_feynman_evaluate_answers — POST /api/v1/ai/feynman-evaluate-answers + */ + safeHandle( + 'ai_feynman_evaluate_answers', + async ( + _event, + args: { + concept: string; + questions: string[]; + answers: string[]; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + logger.info(`[AI] [feynman-eval] IPC received: concept_length=${args.concept.length}, questions=${args.questions.length}, answers=${args.answers.length}, hasAuth=${!!args.authToken}`); + logger.debug(`[AI] [feynman-eval] Concept: ${args.concept.slice(0, 60)}, Q count=${args.questions.length}`); + + const reqBody = { + concept: args.concept, + questions: args.questions, + answers: args.answers, + }; + + logger.info(`[AI] [feynman-eval] Target: ${gatewayUrl()}/api/v1/ai/feynman-evaluate-answers`); + + interface FeynmanAnswerEvalResp { + understanding_score: number; + feedback: string; + strong_points: string[]; + weak_points: string[]; + model: string; + tokens_used: number; + latency_ms: number; + } + + try { + const localHandler = async (): Promise => { + const prompt = `评估用户对概念“${args.concept}”的回答，返回JSON: {"understanding_score": 70, "feedback": "...", "strong_points": ["..."], "weak_points": ["..."]}`; + const result = await generateText(prompt, '你是一个费曼学习法评估助手。请仅返回JSON。', { temperature: 0.4, maxTokens: 1024 }); + const parsed = JSON.parse(result.content); + return { understanding_score: parsed.understanding_score ?? 60, feedback: parsed.feedback ?? '', strong_points: parsed.strong_points ?? [], weak_points: parsed.weak_points ?? [], model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/ai/feynman-evaluate-answers', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 40000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [feynman-eval] ✔ Success (${source}): score=${resp.understanding_score}, strong=${resp.strong_points.length}, weak=${resp.weak_points.length}, model=${resp.model}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + understandingScore: resp.understanding_score, + feedback: resp.feedback, + strongPoints: resp.strong_points, + weakPoints: resp.weak_points, + model: resp.model, + tokensUsed: resp.tokens_used, + latencyMs: resp.latency_ms, + requestId, + source, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [feynman-eval] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [feynman-eval] Error cause: ${error.cause}`); + throw error; + } + }, + ); +} + +// ================================================================ +// 功能定义导出 +// ================================================================ + +export const feature: AIFeatureDef = { + id: 'ai_feynman', + name: '浮出水面', + version: '1.0.0', + register, +}; diff --git a/client/electron/ai/handlers/flashcardHandler.ts b/client/electron/ai/handlers/flashcardHandler.ts index 82eeff27..70711c29 100644 --- a/client/electron/ai/handlers/flashcardHandler.ts +++ b/client/electron/ai/handlers/flashcardHandler.ts @@ -1,119 +1,121 @@ -/** - * AI 闪卡生成功能 Handler - * - * 处理 ai_generate_cards IPC 请求，调用 AI 网关从笔记生成闪卡。 - */ - -import { safeHandle } from '../../ipcUtils.js'; -import { logger } from '../../logger.js'; -import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; -import { generateText } from '../ollama/OllamaProvider.js'; - -// ================================================================ -// IPC Handler -// ================================================================ - -/** - * ai_generate_cards — POST /api/v1/ai/generate-cards - */ -function register(): void { - safeHandle( - 'ai_generate_cards', - async ( - _event, - args: { - note: string; - maxCards?: number; - difficulty?: string; - cardType?: string; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - logger.info(`[AI] [flashcard] IPC received: note_length=${args.note.length}, maxCards=${args.maxCards ?? 'default'}, difficulty=${args.difficulty ?? 'default'}, cardType=${args.cardType ?? 'default'}, hasAuth=${!!args.authToken}`); - logger.debug(`[AI] [flashcard] Note preview: ${args.note.slice(0, 80)}...`); - - const reqBody = { - note: args.note, - options: { - ...(args.maxCards != null && { max_cards: args.maxCards }), - ...(args.difficulty != null && { difficulty: args.difficulty }), - ...(args.cardType != null && { card_type: args.cardType }), - }, - }; - - logger.info(`[AI] [flashcard] Target: ${gatewayUrl()}/api/v1/ai/generate-cards`); - - interface CardResp { - front: string; - back: string; - type: string; - confidence: number; - } - interface CardGenResp { - cards: CardResp[]; - total_extracted: number; - model: string; - tokens_used: number; - } - - try { - const localHandler = async (): Promise => { - const maxHint = args.maxCards ? `，最多生成${args.maxCards}张` : ''; - const diffHint = args.difficulty ? `，难度：${args.difficulty}` : ''; - const prompt = `请从以下笔记内容生成闪卡（问答对）${maxHint}${diffHint}。\n请以JSON格式返回，格式为: {"cards": [{"front": "问题", "back": "答案", "type": "basic", "confidence": 0.9}]}\n\n笔记内容：\n${args.note}`; - const result = await generateText(prompt, '你是一个专业的闪卡生成助手，擅长从笔记中提取核心知识点并生成问答对。请仅返回JSON。', { temperature: 0.5, maxTokens: 2048 }); - try { - const parsed = JSON.parse(result.content); - return { cards: parsed.cards || [], total_extracted: (parsed.cards || []).length, model: result.model, tokens_used: result.tokens_used }; - } catch { - return { cards: [], total_extracted: 0, model: result.model, tokens_used: result.tokens_used }; - } - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/ai/generate-cards', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 90000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [flashcard] ✔ Success (${source}): cards=${resp.cards.length}, total_extracted=${resp.total_extracted}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - cards: resp.cards.map((c) => ({ - front: c.front, - back: c.back, - type: c.type, - confidence: c.confidence, - })), - totalExtracted: resp.total_extracted, - model: resp.model, - tokensUsed: resp.tokens_used, - requestId, - source, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [flashcard] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [flashcard] Error cause: ${error.cause}`); - throw error; - } - }, - ); -} - -// ================================================================ -// 功能定义导出 -// ================================================================ - -export const feature: AIFeatureDef = { - id: 'ai_generate_cards', - name: 'AI 反衰减呼吸生成', - version: '1.0.0', - register, -}; +/** + * AI 闪卡生成功能 Handler + * + * 处理 ai_generate_cards IPC 请求，调用 AI 网关从笔记生成闪卡。 + * + * @ai-context: 闪卡生成 IPC handler——AIFeatureDef 注册表模式，经 callWithLocalFallback 支持本地 Ollama 优先/云端网关降级；请求响应契约与网关 Pydantic model 对齐。 + */ + +import { safeHandle } from '../../ipcUtils.js'; +import { logger } from '../../logger.js'; +import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; +import { generateText } from '../ollama/OllamaProvider.js'; + +// ================================================================ +// IPC Handler +// ================================================================ + +/** + * ai_generate_cards — POST /api/v1/ai/generate-cards + */ +function register(): void { + safeHandle( + 'ai_generate_cards', + async ( + _event, + args: { + note: string; + maxCards?: number; + difficulty?: string; + cardType?: string; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + logger.info(`[AI] [flashcard] IPC received: note_length=${args.note.length}, maxCards=${args.maxCards ?? 'default'}, difficulty=${args.difficulty ?? 'default'}, cardType=${args.cardType ?? 'default'}, hasAuth=${!!args.authToken}`); + logger.debug(`[AI] [flashcard] Note preview: ${args.note.slice(0, 80)}...`); + + const reqBody = { + note: args.note, + options: { + ...(args.maxCards != null && { max_cards: args.maxCards }), + ...(args.difficulty != null && { difficulty: args.difficulty }), + ...(args.cardType != null && { card_type: args.cardType }), + }, + }; + + logger.info(`[AI] [flashcard] Target: ${gatewayUrl()}/api/v1/ai/generate-cards`); + + interface CardResp { + front: string; + back: string; + type: string; + confidence: number; + } + interface CardGenResp { + cards: CardResp[]; + total_extracted: number; + model: string; + tokens_used: number; + } + + try { + const localHandler = async (): Promise => { + const maxHint = args.maxCards ? `，最多生成${args.maxCards}张` : ''; + const diffHint = args.difficulty ? `，难度：${args.difficulty}` : ''; + const prompt = `请从以下笔记内容生成闪卡（问答对）${maxHint}${diffHint}。\n请以JSON格式返回，格式为: {"cards": [{"front": "问题", "back": "答案", "type": "basic", "confidence": 0.9}]}\n\n笔记内容：\n${args.note}`; + const result = await generateText(prompt, '你是一个专业的闪卡生成助手，擅长从笔记中提取核心知识点并生成问答对。请仅返回JSON。', { temperature: 0.5, maxTokens: 2048 }); + try { + const parsed = JSON.parse(result.content); + return { cards: parsed.cards || [], total_extracted: (parsed.cards || []).length, model: result.model, tokens_used: result.tokens_used }; + } catch { + return { cards: [], total_extracted: 0, model: result.model, tokens_used: result.tokens_used }; + } + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/ai/generate-cards', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 90000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [flashcard] ✔ Success (${source}): cards=${resp.cards.length}, total_extracted=${resp.total_extracted}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + cards: resp.cards.map((c) => ({ + front: c.front, + back: c.back, + type: c.type, + confidence: c.confidence, + })), + totalExtracted: resp.total_extracted, + model: resp.model, + tokensUsed: resp.tokens_used, + requestId, + source, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [flashcard] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [flashcard] Error cause: ${error.cause}`); + throw error; + } + }, + ); +} + +// ================================================================ +// 功能定义导出 +// ================================================================ + +export const feature: AIFeatureDef = { + id: 'ai_generate_cards', + name: 'AI 反衰减呼吸生成', + version: '1.0.0', + register, +}; diff --git a/client/electron/ai/handlers/mergeNotesHandler.ts b/client/electron/ai/handlers/mergeNotesHandler.ts index 2881b812..5abc4186 100644 --- a/client/electron/ai/handlers/mergeNotesHandler.ts +++ b/client/electron/ai/handlers/mergeNotesHandler.ts @@ -1,137 +1,139 @@ -/** - * AI 片段笔记合并 Handler - * - * 处理 ai_merge_notes IPC 请求，将增量分析产生的多个片段笔记 - * 合并为一份完整结构化笔记。纯文本操作，无需多模态模型。 - * 对应端点：POST /api/v1/multimodal/merge-notes - */ - -import { safeHandle } from '../../ipcUtils.js'; -import { logger } from '../../logger.js'; -import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; -import { generateText } from '../ollama/OllamaProvider.js'; - -// ================================================================ -// IPC Handler -// ================================================================ - -/** - * ai_merge_notes — POST /api/v1/multimodal/merge-notes - */ -function register(): void { - safeHandle( - 'ai_merge_notes', - async ( - _event, - args: { - partials: string[]; - duration?: number; // 秒 - language?: string; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - const partialCount = args.partials?.length ?? 0; - logger.info(`[AI] [merge-notes] IPC received: partials=${partialCount}, duration=${args.duration ?? 0}s`); - - if (!args.partials || args.partials.length === 0) { - throw new Error('partials 不能为空'); - } - - // 只有一个片段时直接返回 - if (args.partials.length === 1) { - return { - content: args.partials[0].trim(), - modelUsed: 'none (single partial)', - source: 'local' as const, - }; - } - - const reqBody = { - partials: args.partials, - duration: args.duration ?? 0, - language: args.language ?? 'zh-CN', - }; - - logger.info(`[AI] [merge-notes] Target: ${gatewayUrl()}/api/v1/multimodal/merge-notes`); - - interface MergeNotesResp { - content: string; - model_used: string; - } - - try { - // 本地 Ollama 降级：纯文本合并 - const localHandler = async (): Promise => { - const partsContent = args.partials - .map((p, i) => `### 片段 ${i + 1}\n\n${p.trim()}`) - .join('\n\n---\n\n'); - - const prompt = [ - `以下是一门课程（总时长约 ${args.duration ?? 0} 秒）的 ${args.partials.length} 个片段笔记。`, - '请将它们合并为一份完整的结构化课堂笔记，要求：', - '1. 去除重复内容', - '2. 使用 Markdown 二级标题按知识模块组织', - '3. 补充片段间的衔接语句', - '4. 保留所有公式、定义、代码', - '5. 末尾添加「核心知识点摘要」', - '', - '---', - '', - partsContent, - '', - '---', - '', - '请直接输出合并后的 Markdown 笔记。', - ].join('\n'); - - const result = await generateText( - prompt, - '你是一个专业的课堂笔记整理助手，擅长将多个片段笔记合并为完整、连贯的结构化笔记。', - { temperature: 0.3, maxTokens: 4096 }, - ); - - return { - content: result.content, - model_used: result.model, - }; - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/multimodal/merge-notes', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 30000, // 纯文本合并，30s 超时足够 - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [merge-notes] ✔ Success (${source}): content_length=${resp.content?.length ?? 0}, model=${resp.model_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - content: resp.content, - modelUsed: resp.model_used, - source, - requestId, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [merge-notes] ✖ Failed after ${elapsed}ms: ${error.message}`); - throw error; - } - }, - ); -} - -// ================================================================ -// 功能定义导出 -// ================================================================ - -export const feature: AIFeatureDef = { - id: 'ai_merge_notes', - name: 'AI 片段笔记合并', - version: '1.0.0', - register, -}; +/** + * AI 片段笔记合并 Handler + * + * 处理 ai_merge_notes IPC 请求，将增量分析产生的多个片段笔记 + * 合并为一份完整结构化笔记。纯文本操作，无需多模态模型。 + * 对应端点：POST /api/v1/multimodal/merge-notes + * + * @ai-context: 笔记合并 IPC handler——AIFeatureDef 注册表模式，经 callWithLocalFallback 支持本地 Ollama 优先/云端网关降级；请求响应契约与网关 Pydantic model 对齐。 + */ + +import { safeHandle } from '../../ipcUtils.js'; +import { logger } from '../../logger.js'; +import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; +import { generateText } from '../ollama/OllamaProvider.js'; + +// ================================================================ +// IPC Handler +// ================================================================ + +/** + * ai_merge_notes — POST /api/v1/multimodal/merge-notes + */ +function register(): void { + safeHandle( + 'ai_merge_notes', + async ( + _event, + args: { + partials: string[]; + duration?: number; // 秒 + language?: string; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + const partialCount = args.partials?.length ?? 0; + logger.info(`[AI] [merge-notes] IPC received: partials=${partialCount}, duration=${args.duration ?? 0}s`); + + if (!args.partials || args.partials.length === 0) { + throw new Error('partials 不能为空'); + } + + // 只有一个片段时直接返回 + if (args.partials.length === 1) { + return { + content: args.partials[0].trim(), + modelUsed: 'none (single partial)', + source: 'local' as const, + }; + } + + const reqBody = { + partials: args.partials, + duration: args.duration ?? 0, + language: args.language ?? 'zh-CN', + }; + + logger.info(`[AI] [merge-notes] Target: ${gatewayUrl()}/api/v1/multimodal/merge-notes`); + + interface MergeNotesResp { + content: string; + model_used: string; + } + + try { + // 本地 Ollama 降级：纯文本合并 + const localHandler = async (): Promise => { + const partsContent = args.partials + .map((p, i) => `### 片段 ${i + 1}\n\n${p.trim()}`) + .join('\n\n---\n\n'); + + const prompt = [ + `以下是一门课程（总时长约 ${args.duration ?? 0} 秒）的 ${args.partials.length} 个片段笔记。`, + '请将它们合并为一份完整的结构化课堂笔记，要求：', + '1. 去除重复内容', + '2. 使用 Markdown 二级标题按知识模块组织', + '3. 补充片段间的衔接语句', + '4. 保留所有公式、定义、代码', + '5. 末尾添加「核心知识点摘要」', + '', + '---', + '', + partsContent, + '', + '---', + '', + '请直接输出合并后的 Markdown 笔记。', + ].join('\n'); + + const result = await generateText( + prompt, + '你是一个专业的课堂笔记整理助手，擅长将多个片段笔记合并为完整、连贯的结构化笔记。', + { temperature: 0.3, maxTokens: 4096 }, + ); + + return { + content: result.content, + model_used: result.model, + }; + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/multimodal/merge-notes', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 30000, // 纯文本合并，30s 超时足够 + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [merge-notes] ✔ Success (${source}): content_length=${resp.content?.length ?? 0}, model=${resp.model_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + content: resp.content, + modelUsed: resp.model_used, + source, + requestId, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [merge-notes] ✖ Failed after ${elapsed}ms: ${error.message}`); + throw error; + } + }, + ); +} + +// ================================================================ +// 功能定义导出 +// ================================================================ + +export const feature: AIFeatureDef = { + id: 'ai_merge_notes', + name: 'AI 片段笔记合并', + version: '1.0.0', + register, +}; diff --git a/client/electron/ai/handlers/optimizeCardHandler.ts b/client/electron/ai/handlers/optimizeCardHandler.ts index 5bfd2add..9e79895a 100644 --- a/client/electron/ai/handlers/optimizeCardHandler.ts +++ b/client/electron/ai/handlers/optimizeCardHandler.ts @@ -1,102 +1,104 @@ -/** - * AI 闪卡优化功能 Handler - * - * 处理 ai_optimize_card IPC 请求，调用 AI 网关优化已有闪卡的正反面内容。 - */ - -import { safeHandle } from '../../ipcUtils.js'; -import { logger } from '../../logger.js'; -import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; -import { generateText } from '../ollama/OllamaProvider.js'; - -// ================================================================ -// IPC Handler -// ================================================================ - -/** - * ai_optimize_card — POST /api/v1/ai/optimize-card - */ -function register(): void { - safeHandle( - 'ai_optimize_card', - async ( - _event, - args: { - front: string; - back: string; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - logger.info(`[AI] [optimize-card] IPC received: front_length=${args.front.length}, back_length=${args.back.length}, hasAuth=${!!args.authToken}`); - logger.debug(`[AI] [optimize-card] Front preview: ${args.front.slice(0, 60)}, Back preview: ${args.back.slice(0, 60)}`); - - const reqBody = { - front: args.front, - back: args.back, - }; - - logger.info(`[AI] [optimize-card] Target: ${gatewayUrl()}/api/v1/ai/optimize-card`); - - interface OptimizeCardResp { - suggested_front: string; - suggested_back: string; - improvements: string[]; - model: string; - tokens_used: number; - latency_ms: number; - } - - try { - const localHandler = async (): Promise => { - const prompt = `请优化以下闪卡，返回JSON: {"suggested_front": "...", "suggested_back": "...", "improvements": ["..."]} -正面：${args.front} -反面：${args.back}`; - const result = await generateText(prompt, '你是一个闪卡优化助手，擅长改进问答对的表述。请仅返回JSON。', { temperature: 0.5, maxTokens: 1024 }); - const parsed = JSON.parse(result.content); - return { suggested_front: parsed.suggested_front ?? args.front, suggested_back: parsed.suggested_back ?? args.back, improvements: parsed.improvements ?? [], model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/ai/optimize-card', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 60000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [optimize-card] ✔ Success (${source}): improvements=${resp.improvements.length}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - suggestedFront: resp.suggested_front, - suggestedBack: resp.suggested_back, - improvements: resp.improvements, - model: resp.model, - tokensUsed: resp.tokens_used, - latencyMs: resp.latency_ms, - requestId, - source, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [optimize-card] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [optimize-card] Error cause: ${error.cause}`); - throw error; - } - }, - ); -} - -// ================================================================ -// 功能定义导出 -// ================================================================ - -export const feature: AIFeatureDef = { - id: 'ai_optimize_card', - name: 'AI 闪卡优化', - version: '1.0.0', - register, -}; +/** + * AI 闪卡优化功能 Handler + * + * 处理 ai_optimize_card IPC 请求，调用 AI 网关优化已有闪卡的正反面内容。 + * + * @ai-context: 卡片优化 IPC handler——AIFeatureDef 注册表模式，经 callWithLocalFallback 支持本地 Ollama 优先/云端网关降级；请求响应契约与网关 Pydantic model 对齐。 + */ + +import { safeHandle } from '../../ipcUtils.js'; +import { logger } from '../../logger.js'; +import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; +import { generateText } from '../ollama/OllamaProvider.js'; + +// ================================================================ +// IPC Handler +// ================================================================ + +/** + * ai_optimize_card — POST /api/v1/ai/optimize-card + */ +function register(): void { + safeHandle( + 'ai_optimize_card', + async ( + _event, + args: { + front: string; + back: string; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + logger.info(`[AI] [optimize-card] IPC received: front_length=${args.front.length}, back_length=${args.back.length}, hasAuth=${!!args.authToken}`); + logger.debug(`[AI] [optimize-card] Front preview: ${args.front.slice(0, 60)}, Back preview: ${args.back.slice(0, 60)}`); + + const reqBody = { + front: args.front, + back: args.back, + }; + + logger.info(`[AI] [optimize-card] Target: ${gatewayUrl()}/api/v1/ai/optimize-card`); + + interface OptimizeCardResp { + suggested_front: string; + suggested_back: string; + improvements: string[]; + model: string; + tokens_used: number; + latency_ms: number; + } + + try { + const localHandler = async (): Promise => { + const prompt = `请优化以下闪卡，返回JSON: {"suggested_front": "...", "suggested_back": "...", "improvements": ["..."]} +正面：${args.front} +反面：${args.back}`; + const result = await generateText(prompt, '你是一个闪卡优化助手，擅长改进问答对的表述。请仅返回JSON。', { temperature: 0.5, maxTokens: 1024 }); + const parsed = JSON.parse(result.content); + return { suggested_front: parsed.suggested_front ?? args.front, suggested_back: parsed.suggested_back ?? args.back, improvements: parsed.improvements ?? [], model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/ai/optimize-card', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 60000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [optimize-card] ✔ Success (${source}): improvements=${resp.improvements.length}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + suggestedFront: resp.suggested_front, + suggestedBack: resp.suggested_back, + improvements: resp.improvements, + model: resp.model, + tokensUsed: resp.tokens_used, + latencyMs: resp.latency_ms, + requestId, + source, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [optimize-card] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [optimize-card] Error cause: ${error.cause}`); + throw error; + } + }, + ); +} + +// ================================================================ +// 功能定义导出 +// ================================================================ + +export const feature: AIFeatureDef = { + id: 'ai_optimize_card', + name: 'AI 闪卡优化', + version: '1.0.0', + register, +}; diff --git a/client/electron/ai/handlers/predictHandler.ts b/client/electron/ai/handlers/predictHandler.ts index d1f2b9f8..5f245d53 100644 --- a/client/electron/ai/handlers/predictHandler.ts +++ b/client/electron/ai/handlers/predictHandler.ts @@ -1,105 +1,107 @@ -/** - * AI 学习预测功能 Handler - * - * 处理 ai_predict IPC 请求，调用 AI 网关基于笔记内容生成预测性问题。 - */ - -import { safeHandle } from '../../ipcUtils.js'; -import { logger } from '../../logger.js'; -import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; -import { generateText } from '../ollama/OllamaProvider.js'; - -// ================================================================ -// IPC Handler -// ================================================================ - -/** - * ai_predict — POST /api/v1/ai/predict - */ -function register(): void { - safeHandle( - 'ai_predict', - async ( - _event, - args: { - content: string; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - logger.info(`[AI] [predict] IPC received: content_length=${args.content.length}, hasAuth=${!!args.authToken}`); - logger.debug(`[AI] [predict] Content preview: ${args.content.slice(0, 80)}...`); - - const reqBody = { content: args.content }; - - logger.info(`[AI] [predict] Target: ${gatewayUrl()}/api/v1/ai/predict`); - - interface PredictionResp { - question: string; - type: string; - reason: string; - curiosity_score: number; - } - interface PredictGenResp { - predictions: PredictionResp[]; - status: string; - model: string; - tokens_used: number; - latency_ms: number; - } - - try { - const localHandler = async (): Promise => { - const prompt = `基于以下笔记内容，生成预测性问题，返回JSON: {"predictions": [{"question": "...", "type": "...", "reason": "...", "curiosity_score": 0.8}], "status": "ok"}\n\n笔记：\n${args.content}`; - const result = await generateText(prompt, '你是一个预测驱动学习助手，擅长从笔记中生成引导性问题。请仅返回JSON。', { temperature: 0.6, maxTokens: 1024 }); - const parsed = JSON.parse(result.content); - return { predictions: parsed.predictions ?? [], status: 'ok', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/ai/predict', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 60000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [predict] ✔ Success (${source}): predictions=${resp.predictions.length}, status=${resp.status}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - predictions: resp.predictions.map((p: { question: string; type: string; reason: string; curiosity_score: number }) => ({ - question: p.question, - type: p.type, - reason: p.reason, - curiosityScore: p.curiosity_score, - })), - status: resp.status, - model: resp.model, - tokensUsed: resp.tokens_used, - latencyMs: resp.latency_ms, - requestId, - source, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [predict] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [predict] Error cause: ${error.cause}`); - throw error; - } - }, - ); -} - -// ================================================================ -// 功能定义导出 -// ================================================================ - -export const feature: AIFeatureDef = { - id: 'ai_predict', - name: 'AI 学习预测', - version: '1.0.0', - register, -}; +/** + * AI 学习预测功能 Handler + * + * 处理 ai_predict IPC 请求，调用 AI 网关基于笔记内容生成预测性问题。 + * + * @ai-context: 预测提问 IPC handler——AIFeatureDef 注册表模式，经 callWithLocalFallback 支持本地 Ollama 优先/云端网关降级；请求响应契约与网关 Pydantic model 对齐。 + */ + +import { safeHandle } from '../../ipcUtils.js'; +import { logger } from '../../logger.js'; +import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; +import { generateText } from '../ollama/OllamaProvider.js'; + +// ================================================================ +// IPC Handler +// ================================================================ + +/** + * ai_predict — POST /api/v1/ai/predict + */ +function register(): void { + safeHandle( + 'ai_predict', + async ( + _event, + args: { + content: string; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + logger.info(`[AI] [predict] IPC received: content_length=${args.content.length}, hasAuth=${!!args.authToken}`); + logger.debug(`[AI] [predict] Content preview: ${args.content.slice(0, 80)}...`); + + const reqBody = { content: args.content }; + + logger.info(`[AI] [predict] Target: ${gatewayUrl()}/api/v1/ai/predict`); + + interface PredictionResp { + question: string; + type: string; + reason: string; + curiosity_score: number; + } + interface PredictGenResp { + predictions: PredictionResp[]; + status: string; + model: string; + tokens_used: number; + latency_ms: number; + } + + try { + const localHandler = async (): Promise => { + const prompt = `基于以下笔记内容，生成预测性问题，返回JSON: {"predictions": [{"question": "...", "type": "...", "reason": "...", "curiosity_score": 0.8}], "status": "ok"}\n\n笔记：\n${args.content}`; + const result = await generateText(prompt, '你是一个预测驱动学习助手，擅长从笔记中生成引导性问题。请仅返回JSON。', { temperature: 0.6, maxTokens: 1024 }); + const parsed = JSON.parse(result.content); + return { predictions: parsed.predictions ?? [], status: 'ok', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/ai/predict', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 60000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [predict] ✔ Success (${source}): predictions=${resp.predictions.length}, status=${resp.status}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + predictions: resp.predictions.map((p: { question: string; type: string; reason: string; curiosity_score: number }) => ({ + question: p.question, + type: p.type, + reason: p.reason, + curiosityScore: p.curiosity_score, + })), + status: resp.status, + model: resp.model, + tokensUsed: resp.tokens_used, + latencyMs: resp.latency_ms, + requestId, + source, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [predict] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [predict] Error cause: ${error.cause}`); + throw error; + } + }, + ); +} + +// ================================================================ +// 功能定义导出 +// ================================================================ + +export const feature: AIFeatureDef = { + id: 'ai_predict', + name: 'AI 学习预测', + version: '1.0.0', + register, +}; diff --git a/client/electron/ai/handlers/recommendHandler.ts b/client/electron/ai/handlers/recommendHandler.ts index e92b9e35..65e48353 100644 --- a/client/electron/ai/handlers/recommendHandler.ts +++ b/client/electron/ai/handlers/recommendHandler.ts @@ -1,112 +1,114 @@ -/** - * AI 推荐时长功能 Handler - * - * 处理 ai_recommend_duration IPC 请求， - * 调用 AI 网关根据学习历史推荐最佳学习时长。 - */ - -import { safeHandle } from '../../ipcUtils.js'; -import { logger } from '../../logger.js'; -import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; -import { generateText } from '../ollama/OllamaProvider.js'; - -// ================================================================ -// IPC Handler -// ================================================================ - -/** - * ai_recommend_duration — POST /api/v1/ai/recommend-duration - */ -function register(): void { - safeHandle( - 'ai_recommend_duration', - async ( - _event, - args: { - history: Array<{ - durationMinutes: number; - completed: boolean; - subject: string; - timestamp: string; - }>; - authToken?: string; - userApiKey?: string; - }, - ) => { - // 前端 camelCase → 后端 snake_case - const startMs = Date.now(); - logger.info(`[AI] [recommend] IPC received: sessions_count=${args.history.length}, hasAuth=${!!args.authToken}`); - logger.debug(`[AI] [recommend] History preview: ${args.history.length} sessions, first=${args.history[0]?.timestamp ?? 'N/A'}, last=${args.history[args.history.length - 1]?.timestamp ?? 'N/A'}`); - - const reqBody = { - history: args.history.map((h) => ({ - duration_minutes: h.durationMinutes, - completed: h.completed, - subject: h.subject, - timestamp: h.timestamp, - })), - }; - - logger.info(`[AI] [recommend] Target: ${gatewayUrl()}/api/v1/ai/recommend-duration`); - - interface RecommendResp { - recommended_minutes: number; - break_minutes: number; - reason: string; - source: string; - model: string; - tokens_used: number; - latency_ms: number; - } - - try { - const localHandler = async (): Promise => { - const prompt = `根据学习历史推荐最佳学习时长，返回JSON: {"recommended_minutes": 25, "break_minutes": 5, "reason": "...", "source": "local_ollama"}\n学习历史：${JSON.stringify(reqBody)}`; - const result = await generateText(prompt, '你是一个学习时间管理助手。请仅返回JSON。', { temperature: 0.4, maxTokens: 512 }); - const parsed = JSON.parse(result.content); - return { recommended_minutes: parsed.recommended_minutes ?? 25, break_minutes: parsed.break_minutes ?? 5, reason: parsed.reason ?? '', source: 'local_ollama', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/ai/recommend-duration', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 40000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [recommend] ✔ Success (${source}): recommended=${resp.recommended_minutes}min, break=${resp.break_minutes}min, source=${resp.source}, model=${resp.model}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - recommendedMinutes: resp.recommended_minutes, - breakMinutes: resp.break_minutes, - reason: resp.reason, - source: resp.source, - isLocalFallback: resp.source === 'local_rule' || source === 'local', - model: resp.model, - tokensUsed: resp.tokens_used, - latencyMs: resp.latency_ms, - requestId, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [recommend] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [recommend] Error cause: ${error.cause}`); - throw error; - } - }, - ); -} - -// ================================================================ -// 功能定义导出 -// ================================================================ - -export const feature: AIFeatureDef = { - id: 'ai_recommend_duration', - name: 'AI 推荐学习时长', - version: '1.0.0', - register, -}; +/** + * AI 推荐时长功能 Handler + * + * 处理 ai_recommend_duration IPC 请求， + * 调用 AI 网关根据学习历史推荐最佳学习时长。 + * + * @ai-context: 时长推荐 IPC handler——AIFeatureDef 注册表模式，经 callWithLocalFallback 支持本地 Ollama 优先/云端网关降级；请求响应契约与网关 Pydantic model 对齐。 + */ + +import { safeHandle } from '../../ipcUtils.js'; +import { logger } from '../../logger.js'; +import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; +import { generateText } from '../ollama/OllamaProvider.js'; + +// ================================================================ +// IPC Handler +// ================================================================ + +/** + * ai_recommend_duration — POST /api/v1/ai/recommend-duration + */ +function register(): void { + safeHandle( + 'ai_recommend_duration', + async ( + _event, + args: { + history: Array<{ + durationMinutes: number; + completed: boolean; + subject: string; + timestamp: string; + }>; + authToken?: string; + userApiKey?: string; + }, + ) => { + // 前端 camelCase → 后端 snake_case + const startMs = Date.now(); + logger.info(`[AI] [recommend] IPC received: sessions_count=${args.history.length}, hasAuth=${!!args.authToken}`); + logger.debug(`[AI] [recommend] History preview: ${args.history.length} sessions, first=${args.history[0]?.timestamp ?? 'N/A'}, last=${args.history[args.history.length - 1]?.timestamp ?? 'N/A'}`); + + const reqBody = { + history: args.history.map((h) => ({ + duration_minutes: h.durationMinutes, + completed: h.completed, + subject: h.subject, + timestamp: h.timestamp, + })), + }; + + logger.info(`[AI] [recommend] Target: ${gatewayUrl()}/api/v1/ai/recommend-duration`); + + interface RecommendResp { + recommended_minutes: number; + break_minutes: number; + reason: string; + source: string; + model: string; + tokens_used: number; + latency_ms: number; + } + + try { + const localHandler = async (): Promise => { + const prompt = `根据学习历史推荐最佳学习时长，返回JSON: {"recommended_minutes": 25, "break_minutes": 5, "reason": "...", "source": "local_ollama"}\n学习历史：${JSON.stringify(reqBody)}`; + const result = await generateText(prompt, '你是一个学习时间管理助手。请仅返回JSON。', { temperature: 0.4, maxTokens: 512 }); + const parsed = JSON.parse(result.content); + return { recommended_minutes: parsed.recommended_minutes ?? 25, break_minutes: parsed.break_minutes ?? 5, reason: parsed.reason ?? '', source: 'local_ollama', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/ai/recommend-duration', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 40000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [recommend] ✔ Success (${source}): recommended=${resp.recommended_minutes}min, break=${resp.break_minutes}min, source=${resp.source}, model=${resp.model}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + recommendedMinutes: resp.recommended_minutes, + breakMinutes: resp.break_minutes, + reason: resp.reason, + source: resp.source, + isLocalFallback: resp.source === 'local_rule' || source === 'local', + model: resp.model, + tokensUsed: resp.tokens_used, + latencyMs: resp.latency_ms, + requestId, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [recommend] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [recommend] Error cause: ${error.cause}`); + throw error; + } + }, + ); +} + +// ================================================================ +// 功能定义导出 +// ================================================================ + +export const feature: AIFeatureDef = { + id: 'ai_recommend_duration', + name: 'AI 推荐学习时长', + version: '1.0.0', + register, +}; diff --git a/client/electron/ai/handlers/rescueHandler.ts b/client/electron/ai/handlers/rescueHandler.ts index 01e237a6..eba86b90 100644 --- a/client/electron/ai/handlers/rescueHandler.ts +++ b/client/electron/ai/handlers/rescueHandler.ts @@ -1,114 +1,116 @@ -/** - * AI 学习救援功能 Handler - * - * 处理 ai_rescue IPC 请求，调用 AI 网关为卡住的学习者提供分层救援提示。 - */ - -import { safeHandle } from '../../ipcUtils.js'; -import { logger } from '../../logger.js'; -import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; -import { generateText } from '../ollama/OllamaProvider.js'; - -// ================================================================ -// IPC Handler -// ================================================================ - -/** - * ai_rescue — POST /api/v1/ai/rescue - */ -function register(): void { - safeHandle( - 'ai_rescue', - async ( - _event, - args: { - content: string; - stuckDescription: string; - attemptedMethods?: string; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - logger.info(`[AI] [rescue] IPC received: content_length=${args.content.length}, stuck_length=${args.stuckDescription.length}, methods=${args.attemptedMethods ?? 'none'}, hasAuth=${!!args.authToken}`); - logger.debug(`[AI] [rescue] Stuck description: ${args.stuckDescription.slice(0, 80)}`); - - // 前端 camelCase → 后端 snake_case - const reqBody = { - content: args.content, - stuck_description: args.stuckDescription, - attempted_methods: args.attemptedMethods ?? '', - }; - - logger.info(`[AI] [rescue] Target: ${gatewayUrl()}/api/v1/ai/rescue`); - - interface RescueLevelResp { - level: number; - label: string; - suggestion: string; - hint_question: string; - } - interface RescueGenResp { - rescue_levels: RescueLevelResp[]; - encouragement: string; - status: string; - model: string; - tokens_used: number; - latency_ms: number; - } - - try { - const localHandler = async (): Promise => { - const prompt = `学习者卡住了，请提供分层救援提示，返回JSON: {"rescue_levels": [{"level": 1, "label": "...", "suggestion": "...", "hint_question": "..."}], "encouragement": "...", "status": "ok"}\n\n卡住情境：${JSON.stringify(reqBody)}`; - const result = await generateText(prompt, '你是一个学习救援助手，擅长为卡住的学习者提供分层提示。请仅返回JSON。', { temperature: 0.6, maxTokens: 1024 }); - const parsed = JSON.parse(result.content); - return { rescue_levels: parsed.rescue_levels ?? [], encouragement: parsed.encouragement ?? '加油！', status: 'ok', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/ai/rescue', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 60000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [rescue] ✔ Success (${source}): levels=${resp.rescue_levels.length}, status=${resp.status}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - rescueLevels: resp.rescue_levels.map((lv: { level: number; label: string; suggestion: string; hint_question: string }) => ({ - level: lv.level, - label: lv.label, - suggestion: lv.suggestion, - hintQuestion: lv.hint_question, - })), - encouragement: resp.encouragement, - status: resp.status, - model: resp.model, - tokensUsed: resp.tokens_used, - latencyMs: resp.latency_ms, - requestId, - source, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [rescue] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [rescue] Error cause: ${error.cause}`); - throw error; - } - }, - ); -} - -// ================================================================ -// 功能定义导出 -// ================================================================ - -export const feature: AIFeatureDef = { - id: 'ai_rescue', - name: 'AI 学习救援', - version: '1.0.0', - register, -}; +/** + * AI 学习救援功能 Handler + * + * 处理 ai_rescue IPC 请求，调用 AI 网关为卡住的学习者提供分层救援提示。 + * + * @ai-context: 卡壳救援 IPC handler——AIFeatureDef 注册表模式，经 callWithLocalFallback 支持本地 Ollama 优先/云端网关降级；请求响应契约与网关 Pydantic model 对齐。 + */ + +import { safeHandle } from '../../ipcUtils.js'; +import { logger } from '../../logger.js'; +import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; +import { generateText } from '../ollama/OllamaProvider.js'; + +// ================================================================ +// IPC Handler +// ================================================================ + +/** + * ai_rescue — POST /api/v1/ai/rescue + */ +function register(): void { + safeHandle( + 'ai_rescue', + async ( + _event, + args: { + content: string; + stuckDescription: string; + attemptedMethods?: string; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + logger.info(`[AI] [rescue] IPC received: content_length=${args.content.length}, stuck_length=${args.stuckDescription.length}, methods=${args.attemptedMethods ?? 'none'}, hasAuth=${!!args.authToken}`); + logger.debug(`[AI] [rescue] Stuck description: ${args.stuckDescription.slice(0, 80)}`); + + // 前端 camelCase → 后端 snake_case + const reqBody = { + content: args.content, + stuck_description: args.stuckDescription, + attempted_methods: args.attemptedMethods ?? '', + }; + + logger.info(`[AI] [rescue] Target: ${gatewayUrl()}/api/v1/ai/rescue`); + + interface RescueLevelResp { + level: number; + label: string; + suggestion: string; + hint_question: string; + } + interface RescueGenResp { + rescue_levels: RescueLevelResp[]; + encouragement: string; + status: string; + model: string; + tokens_used: number; + latency_ms: number; + } + + try { + const localHandler = async (): Promise => { + const prompt = `学习者卡住了，请提供分层救援提示，返回JSON: {"rescue_levels": [{"level": 1, "label": "...", "suggestion": "...", "hint_question": "..."}], "encouragement": "...", "status": "ok"}\n\n卡住情境：${JSON.stringify(reqBody)}`; + const result = await generateText(prompt, '你是一个学习救援助手，擅长为卡住的学习者提供分层提示。请仅返回JSON。', { temperature: 0.6, maxTokens: 1024 }); + const parsed = JSON.parse(result.content); + return { rescue_levels: parsed.rescue_levels ?? [], encouragement: parsed.encouragement ?? '加油！', status: 'ok', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/ai/rescue', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 60000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [rescue] ✔ Success (${source}): levels=${resp.rescue_levels.length}, status=${resp.status}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + rescueLevels: resp.rescue_levels.map((lv: { level: number; label: string; suggestion: string; hint_question: string }) => ({ + level: lv.level, + label: lv.label, + suggestion: lv.suggestion, + hintQuestion: lv.hint_question, + })), + encouragement: resp.encouragement, + status: resp.status, + model: resp.model, + tokensUsed: resp.tokens_used, + latencyMs: resp.latency_ms, + requestId, + source, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [rescue] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [rescue] Error cause: ${error.cause}`); + throw error; + } + }, + ); +} + +// ================================================================ +// 功能定义导出 +// ================================================================ + +export const feature: AIFeatureDef = { + id: 'ai_rescue', + name: 'AI 学习救援', + version: '1.0.0', + register, +}; diff --git a/client/electron/ai/handlers/sessionAnalyzeHandler.ts b/client/electron/ai/handlers/sessionAnalyzeHandler.ts index 1f505712..21265d68 100644 --- a/client/electron/ai/handlers/sessionAnalyzeHandler.ts +++ b/client/electron/ai/handlers/sessionAnalyzeHandler.ts @@ -1,155 +1,157 @@ -/** - * AI 课堂多模态分析 Handler - * - * 处理 ai_session_analyze IPC 请求，调用 AI 网关对课堂关键帧与音频段进行多模态分析。 - * 支持本地 Ollama 降级：优先调用本地多模态模型，失败后降级到远程网关。 - * 对应端点：POST /api/v1/multimodal/analyze-session - */ - -import { safeHandle } from '../../ipcUtils.js'; -import { logger } from '../../logger.js'; -import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; -import { generateVisionMulti } from '../ollama/OllamaProvider.js'; - -// ================================================================ -// IPC Handler -// ================================================================ - -/** - * ai_session_analyze — POST /api/v1/multimodal/analyze-session - */ -function register(): void { - safeHandle( - 'ai_session_analyze', - async ( - _event, - args: { - keyframes: Array<{ - timestamp: number; // 已转为秒 - imageBase64: string; - changeType: string; - }>; - audioSegments: Array<{ - timestampStart: number; // 已转为秒 - timestampEnd: number; - audioText: string | null; - }>; - duration: number; // 已转为秒 - language?: string; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - const kfCount = args.keyframes?.length ?? 0; - const segCount = args.audioSegments?.length ?? 0; - logger.info(`[AI] [session-analyze] IPC received: keyframes=${kfCount}, audioSegments=${segCount}, duration=${args.duration}s, language=${args.language ?? 'zh'}, hasAuth=${!!args.authToken}`); - - const reqBody = { - keyframes: args.keyframes.map(kf => ({ - timestamp: kf.timestamp, - image_base64: kf.imageBase64, - change_type: kf.changeType, - })), - audio_segments: args.audioSegments.map(seg => ({ - timestamp_start: seg.timestampStart, - timestamp_end: seg.timestampEnd, - audio_text: seg.audioText, - })), - duration: args.duration, - language: args.language ?? 'zh', - }; - - logger.info(`[AI] [session-analyze] Target: ${gatewayUrl()}/api/v1/multimodal/analyze-session`); - - interface AnalyzeSessionResp { - content: string; - keyframes_analyzed: number; - model_used: string; - } - - try { - // 本地 Ollama 降级链 - const localHandler = async (): Promise => { - // 从 keyframes 中提取 imageBase64 数组 - const imagesBase64 = args.keyframes.map(kf => kf.imageBase64); - - // 构造包含时间轴信息和音频段文本的 prompt - const timelineParts: string[] = []; - for (const kf of args.keyframes) { - timelineParts.push(`[${kf.timestamp}s] 画面变化类型：${kf.changeType}`); - } - - const audioParts: string[] = []; - for (const seg of args.audioSegments) { - if (seg.audioText) { - audioParts.push(`[${seg.timestampStart}s - ${seg.timestampEnd}s] 音频内容：${seg.audioText}`); - } - } - - const prompt = [ - `请对以下课堂内容进行多模态分析。课程总时长：${args.duration}秒。`, - '', - '=== 关键帧时间轴 ===', - ...timelineParts, - '', - ...(audioParts.length > 0 - ? ['=== 音频段内容 ===', ...audioParts, ''] - : []), - '请综合分析课堂内容，包括知识点提取、教学结构分析、重点难点标注等。', - `语言：${args.language ?? 'zh'}`, - ].join('\n'); - - const result = await generateVisionMulti( - imagesBase64, - prompt, - '你是一个专业的课堂内容分析助手，擅长从视觉和音频信息中提取教学结构化知识。', - { temperature: 0.3, maxTokens: 4096 }, - ); - - return { - content: result.content, - keyframes_analyzed: imagesBase64.length, - model_used: result.model, - }; - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/multimodal/analyze-session', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 120000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [session-analyze] ✔ Success (${source}): content_length=${resp.content?.length ?? 0}, keyframes_analyzed=${resp.keyframes_analyzed}, model=${resp.model_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - content: resp.content, - keyframesAnalyzed: resp.keyframes_analyzed, - modelUsed: resp.model_used, - source, - requestId, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [session-analyze] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [session-analyze] Error cause: ${error.cause}`); - throw error; - } - }, - ); -} - -// ================================================================ -// 功能定义导出 -// ================================================================ - -export const feature: AIFeatureDef = { - id: 'ai_session_analyze', - name: 'AI 课堂多模态分析', - version: '1.0.0', - register, -}; +/** + * AI 课堂多模态分析 Handler + * + * 处理 ai_session_analyze IPC 请求，调用 AI 网关对课堂关键帧与音频段进行多模态分析。 + * 支持本地 Ollama 降级：优先调用本地多模态模型，失败后降级到远程网关。 + * 对应端点：POST /api/v1/multimodal/analyze-session + * + * @ai-context: 课堂会话分析 IPC handler——AIFeatureDef 注册表模式，经 callWithLocalFallback 支持本地 Ollama 优先/云端网关降级；请求响应契约与网关 Pydantic model 对齐。 + */ + +import { safeHandle } from '../../ipcUtils.js'; +import { logger } from '../../logger.js'; +import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; +import { generateVisionMulti } from '../ollama/OllamaProvider.js'; + +// ================================================================ +// IPC Handler +// ================================================================ + +/** + * ai_session_analyze — POST /api/v1/multimodal/analyze-session + */ +function register(): void { + safeHandle( + 'ai_session_analyze', + async ( + _event, + args: { + keyframes: Array<{ + timestamp: number; // 已转为秒 + imageBase64: string; + changeType: string; + }>; + audioSegments: Array<{ + timestampStart: number; // 已转为秒 + timestampEnd: number; + audioText: string | null; + }>; + duration: number; // 已转为秒 + language?: string; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + const kfCount = args.keyframes?.length ?? 0; + const segCount = args.audioSegments?.length ?? 0; + logger.info(`[AI] [session-analyze] IPC received: keyframes=${kfCount}, audioSegments=${segCount}, duration=${args.duration}s, language=${args.language ?? 'zh'}, hasAuth=${!!args.authToken}`); + + const reqBody = { + keyframes: args.keyframes.map(kf => ({ + timestamp: kf.timestamp, + image_base64: kf.imageBase64, + change_type: kf.changeType, + })), + audio_segments: args.audioSegments.map(seg => ({ + timestamp_start: seg.timestampStart, + timestamp_end: seg.timestampEnd, + audio_text: seg.audioText, + })), + duration: args.duration, + language: args.language ?? 'zh', + }; + + logger.info(`[AI] [session-analyze] Target: ${gatewayUrl()}/api/v1/multimodal/analyze-session`); + + interface AnalyzeSessionResp { + content: string; + keyframes_analyzed: number; + model_used: string; + } + + try { + // 本地 Ollama 降级链 + const localHandler = async (): Promise => { + // 从 keyframes 中提取 imageBase64 数组 + const imagesBase64 = args.keyframes.map(kf => kf.imageBase64); + + // 构造包含时间轴信息和音频段文本的 prompt + const timelineParts: string[] = []; + for (const kf of args.keyframes) { + timelineParts.push(`[${kf.timestamp}s] 画面变化类型：${kf.changeType}`); + } + + const audioParts: string[] = []; + for (const seg of args.audioSegments) { + if (seg.audioText) { + audioParts.push(`[${seg.timestampStart}s - ${seg.timestampEnd}s] 音频内容：${seg.audioText}`); + } + } + + const prompt = [ + `请对以下课堂内容进行多模态分析。课程总时长：${args.duration}秒。`, + '', + '=== 关键帧时间轴 ===', + ...timelineParts, + '', + ...(audioParts.length > 0 + ? ['=== 音频段内容 ===', ...audioParts, ''] + : []), + '请综合分析课堂内容，包括知识点提取、教学结构分析、重点难点标注等。', + `语言：${args.language ?? 'zh'}`, + ].join('\n'); + + const result = await generateVisionMulti( + imagesBase64, + prompt, + '你是一个专业的课堂内容分析助手，擅长从视觉和音频信息中提取教学结构化知识。', + { temperature: 0.3, maxTokens: 4096 }, + ); + + return { + content: result.content, + keyframes_analyzed: imagesBase64.length, + model_used: result.model, + }; + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/multimodal/analyze-session', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 120000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [session-analyze] ✔ Success (${source}): content_length=${resp.content?.length ?? 0}, keyframes_analyzed=${resp.keyframes_analyzed}, model=${resp.model_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + content: resp.content, + keyframesAnalyzed: resp.keyframes_analyzed, + modelUsed: resp.model_used, + source, + requestId, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [session-analyze] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [session-analyze] Error cause: ${error.cause}`); + throw error; + } + }, + ); +} + +// ================================================================ +// 功能定义导出 +// ================================================================ + +export const feature: AIFeatureDef = { + id: 'ai_session_analyze', + name: 'AI 课堂多模态分析', + version: '1.0.0', + register, +}; diff --git a/client/electron/ai/handlers/socraticHandler.ts b/client/electron/ai/handlers/socraticHandler.ts index b946af46..00a6b311 100644 --- a/client/electron/ai/handlers/socraticHandler.ts +++ b/client/electron/ai/handlers/socraticHandler.ts @@ -1,281 +1,283 @@ -/** - * 苏格拉底追问功能 Handler - * - * 处理 ai_socratic / ai_socratic_evaluate / ai_socratic_deepening IPC 请求， - * 调用 AI 网关实现苏格拉底式追问、评估与深化。 - */ - -import { safeHandle } from '../../ipcUtils.js'; -import { logger } from '../../logger.js'; -import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; -import { generateText } from '../ollama/OllamaProvider.js'; - -// ================================================================ -// 公共类型 -// ================================================================ - -interface BackendHistoryItem { - role: 'tutor' | 'learner'; - content: string; -} - -// ================================================================ -// IPC Handler -// ================================================================ - -/** - * 注册苏格拉底相关的全部 IPC handler - */ -function register(): void { - /** - * ai_socratic — POST /api/v1/ai/socratic - */ - safeHandle( - 'ai_socratic', - async ( - _event, - args: { - topic: string; - history?: BackendHistoryItem[] | null; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - logger.info(`[AI] [socratic] IPC received: topic_length=${args.topic.length}, history=${args.history?.length ?? 0}, hasAuth=${!!args.authToken}`); - logger.debug(`[AI] [socratic] Topic preview: ${args.topic.slice(0, 80)}`); - - const reqBody = { - topic: args.topic, - history: args.history ?? null, - }; - - logger.info(`[AI] [socratic] Target: ${gatewayUrl()}/api/v1/ai/socratic`); - - interface SocraticResp { - question: string; - hint: string; - thinking_direction: string; - depth_level: number; - turn_count: number; - status: string; - model: string; - tokens_used: number; - latency_ms: number; - } - - try { - const localHandler = async (): Promise => { - const prompt = `作为苏格拉底式导师，针对主题“${args.topic}”生成一个引导性问题，返回JSON: {"question": "...", "hint": "...", "thinking_direction": "...", "depth_level": 1, "turn_count": 1, "status": "ok"}`; - const result = await generateText(prompt, '你是一个苏格拉底式学习导师。请仅返回JSON。', { temperature: 0.7, maxTokens: 512 }); - const parsed = JSON.parse(result.content); - return { question: parsed.question ?? '', hint: parsed.hint ?? '', thinking_direction: parsed.thinking_direction ?? '', depth_level: parsed.depth_level ?? 1, turn_count: parsed.turn_count ?? 1, status: 'ok', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/ai/socratic', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 60000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [socratic] ✔ Success (${source}): depth=${resp.depth_level}, turn=${resp.turn_count}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - question: resp.question, - hint: resp.hint, - thinkingDirection: resp.thinking_direction, - depthLevel: resp.depth_level, - turnCount: resp.turn_count, - status: resp.status, - model: resp.model, - tokensUsed: resp.tokens_used, - latencyMs: resp.latency_ms, - requestId, - source, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [socratic] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [socratic] Error cause: ${error.cause}`); - throw error; - } - }, - ); - - /** - * ai_socratic_evaluate — POST /api/v1/ai/socratic/evaluate - */ - safeHandle( - 'ai_socratic_evaluate', - async ( - _event, - args: { - topic: string; - question: string; - answer: string; - history?: BackendHistoryItem[]; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - logger.info(`[AI] [socratic-eval] IPC received: topic_length=${args.topic.length}, question_length=${args.question.length}, answer_length=${args.answer.length}, history=${args.history?.length ?? 0}, hasAuth=${!!args.authToken}`); - logger.debug(`[AI] [socratic-eval] Topic: ${args.topic.slice(0, 60)}, Q: ${args.question.slice(0, 60)}`); - - const reqBody = { - topic: args.topic, - question: args.question, - answer: args.answer, - history: args.history ?? [], - }; - - logger.info(`[AI] [socratic-eval] Target: ${gatewayUrl()}/api/v1/ai/socratic/evaluate`); - - interface SocraticEvaluateResp { - dimensions: { accuracy: number; completeness: number; logic: number; expression: number }; - feedback: string; - encouragement: string; - status: string; - model: string; - tokens_used: number; - latency_ms: number; - } - - try { - const localHandler = async (): Promise => { - const prompt = `评估学生对问题的回答，返回JSON: {"dimensions": {"accuracy": 70, "completeness": 65, "logic": 75, "expression": 80}, "feedback": "...", "encouragement": "...", "status": "ok"}`; - const result = await generateText(prompt, '你是一个苏格拉底式评估助手。请仅返回JSON。', { temperature: 0.4, maxTokens: 512 }); - const parsed = JSON.parse(result.content); - return { dimensions: parsed.dimensions ?? { accuracy: 60, completeness: 60, logic: 60, expression: 60 }, feedback: parsed.feedback ?? '', encouragement: parsed.encouragement ?? '继续加油！', status: 'ok', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/ai/socratic/evaluate', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 60000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [socratic-eval] ✔ Success (${source}): accuracy=${resp.dimensions.accuracy}, completeness=${resp.dimensions.completeness}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - dimensions: resp.dimensions, - feedback: resp.feedback, - encouragement: resp.encouragement, - status: resp.status, - model: resp.model, - tokensUsed: resp.tokens_used, - latencyMs: resp.latency_ms, - requestId, - source, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [socratic-eval] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [socratic-eval] Error cause: ${error.cause}`); - throw error; - } - }, - ); - - /** - * ai_socratic_deepening — POST /api/v1/ai/socratic/deepening - */ - safeHandle( - 'ai_socratic_deepening', - async ( - _event, - args: { - topic: string; - dialogueSummary: string; - history?: BackendHistoryItem[]; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - logger.info(`[AI] [socratic-deep] IPC received: topic_length=${args.topic.length}, summary_length=${args.dialogueSummary.length}, history=${args.history?.length ?? 0}, hasAuth=${!!args.authToken}`); - logger.debug(`[AI] [socratic-deep] Topic: ${args.topic.slice(0, 60)}, Summary preview: ${args.dialogueSummary.slice(0, 80)}`); - - // 前端 camelCase dialogueSummary → 后端 snake_case dialogue_summary - const reqBody = { - topic: args.topic, - dialogue_summary: args.dialogueSummary, - history: args.history ?? [], - }; - - logger.info(`[AI] [socratic-deep] Target: ${gatewayUrl()}/api/v1/ai/socratic/deepening`); - - interface AngleResp { - key: string; - label: string; - question: string; - } - interface SocraticDeepeningResp { - angles: AngleResp[]; - status: string; - model: string; - tokens_used: number; - latency_ms: number; - } - - try { - const localHandler = async (): Promise => { - const prompt = `针对主题“${args.topic}”的对话摘要，生成深化探索角度，返回JSON: {"angles": [{"key": "...", "label": "...", "question": "..."}], "status": "ok"}`; - const result = await generateText(prompt, '你是一个苏格拉底式深化探索助手。请仅返回JSON。', { temperature: 0.7, maxTokens: 1024 }); - const parsed = JSON.parse(result.content); - return { angles: parsed.angles ?? [], status: 'ok', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/ai/socratic/deepening', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 60000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [socratic-deep] ✔ Success (${source}): angles=${resp.angles.length}, status=${resp.status}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - angles: resp.angles.map((a: { key: string; label: string; question: string }) => ({ - key: a.key, - label: a.label, - question: a.question, - })), - status: resp.status, - model: resp.model, - tokensUsed: resp.tokens_used, - latencyMs: resp.latency_ms, - requestId, - source, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [socratic-deep] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [socratic-deep] Error cause: ${error.cause}`); - throw error; - } - }, - ); -} - -// ================================================================ -// 功能定义导出 -// ================================================================ - -export const feature: AIFeatureDef = { - id: 'ai_socratic', - name: 'AI 苏格拉底追问', - version: '1.0.0', - register, -}; +/** + * 苏格拉底追问功能 Handler + * + * 处理 ai_socratic / ai_socratic_evaluate / ai_socratic_deepening IPC 请求， + * 调用 AI 网关实现苏格拉底式追问、评估与深化。 + * + * @ai-context: 苏格拉底追问（含评估/深化） IPC handler——AIFeatureDef 注册表模式，经 callWithLocalFallback 支持本地 Ollama 优先/云端网关降级；请求响应契约与网关 Pydantic model 对齐。 + */ + +import { safeHandle } from '../../ipcUtils.js'; +import { logger } from '../../logger.js'; +import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; +import { generateText } from '../ollama/OllamaProvider.js'; + +// ================================================================ +// 公共类型 +// ================================================================ + +interface BackendHistoryItem { + role: 'tutor' | 'learner'; + content: string; +} + +// ================================================================ +// IPC Handler +// ================================================================ + +/** + * 注册苏格拉底相关的全部 IPC handler + */ +function register(): void { + /** + * ai_socratic — POST /api/v1/ai/socratic + */ + safeHandle( + 'ai_socratic', + async ( + _event, + args: { + topic: string; + history?: BackendHistoryItem[] | null; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + logger.info(`[AI] [socratic] IPC received: topic_length=${args.topic.length}, history=${args.history?.length ?? 0}, hasAuth=${!!args.authToken}`); + logger.debug(`[AI] [socratic] Topic preview: ${args.topic.slice(0, 80)}`); + + const reqBody = { + topic: args.topic, + history: args.history ?? null, + }; + + logger.info(`[AI] [socratic] Target: ${gatewayUrl()}/api/v1/ai/socratic`); + + interface SocraticResp { + question: string; + hint: string; + thinking_direction: string; + depth_level: number; + turn_count: number; + status: string; + model: string; + tokens_used: number; + latency_ms: number; + } + + try { + const localHandler = async (): Promise => { + const prompt = `作为苏格拉底式导师，针对主题“${args.topic}”生成一个引导性问题，返回JSON: {"question": "...", "hint": "...", "thinking_direction": "...", "depth_level": 1, "turn_count": 1, "status": "ok"}`; + const result = await generateText(prompt, '你是一个苏格拉底式学习导师。请仅返回JSON。', { temperature: 0.7, maxTokens: 512 }); + const parsed = JSON.parse(result.content); + return { question: parsed.question ?? '', hint: parsed.hint ?? '', thinking_direction: parsed.thinking_direction ?? '', depth_level: parsed.depth_level ?? 1, turn_count: parsed.turn_count ?? 1, status: 'ok', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/ai/socratic', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 60000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [socratic] ✔ Success (${source}): depth=${resp.depth_level}, turn=${resp.turn_count}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + question: resp.question, + hint: resp.hint, + thinkingDirection: resp.thinking_direction, + depthLevel: resp.depth_level, + turnCount: resp.turn_count, + status: resp.status, + model: resp.model, + tokensUsed: resp.tokens_used, + latencyMs: resp.latency_ms, + requestId, + source, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [socratic] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [socratic] Error cause: ${error.cause}`); + throw error; + } + }, + ); + + /** + * ai_socratic_evaluate — POST /api/v1/ai/socratic/evaluate + */ + safeHandle( + 'ai_socratic_evaluate', + async ( + _event, + args: { + topic: string; + question: string; + answer: string; + history?: BackendHistoryItem[]; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + logger.info(`[AI] [socratic-eval] IPC received: topic_length=${args.topic.length}, question_length=${args.question.length}, answer_length=${args.answer.length}, history=${args.history?.length ?? 0}, hasAuth=${!!args.authToken}`); + logger.debug(`[AI] [socratic-eval] Topic: ${args.topic.slice(0, 60)}, Q: ${args.question.slice(0, 60)}`); + + const reqBody = { + topic: args.topic, + question: args.question, + answer: args.answer, + history: args.history ?? [], + }; + + logger.info(`[AI] [socratic-eval] Target: ${gatewayUrl()}/api/v1/ai/socratic/evaluate`); + + interface SocraticEvaluateResp { + dimensions: { accuracy: number; completeness: number; logic: number; expression: number }; + feedback: string; + encouragement: string; + status: string; + model: string; + tokens_used: number; + latency_ms: number; + } + + try { + const localHandler = async (): Promise => { + const prompt = `评估学生对问题的回答，返回JSON: {"dimensions": {"accuracy": 70, "completeness": 65, "logic": 75, "expression": 80}, "feedback": "...", "encouragement": "...", "status": "ok"}`; + const result = await generateText(prompt, '你是一个苏格拉底式评估助手。请仅返回JSON。', { temperature: 0.4, maxTokens: 512 }); + const parsed = JSON.parse(result.content); + return { dimensions: parsed.dimensions ?? { accuracy: 60, completeness: 60, logic: 60, expression: 60 }, feedback: parsed.feedback ?? '', encouragement: parsed.encouragement ?? '继续加油！', status: 'ok', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/ai/socratic/evaluate', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 60000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [socratic-eval] ✔ Success (${source}): accuracy=${resp.dimensions.accuracy}, completeness=${resp.dimensions.completeness}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + dimensions: resp.dimensions, + feedback: resp.feedback, + encouragement: resp.encouragement, + status: resp.status, + model: resp.model, + tokensUsed: resp.tokens_used, + latencyMs: resp.latency_ms, + requestId, + source, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [socratic-eval] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [socratic-eval] Error cause: ${error.cause}`); + throw error; + } + }, + ); + + /** + * ai_socratic_deepening — POST /api/v1/ai/socratic/deepening + */ + safeHandle( + 'ai_socratic_deepening', + async ( + _event, + args: { + topic: string; + dialogueSummary: string; + history?: BackendHistoryItem[]; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + logger.info(`[AI] [socratic-deep] IPC received: topic_length=${args.topic.length}, summary_length=${args.dialogueSummary.length}, history=${args.history?.length ?? 0}, hasAuth=${!!args.authToken}`); + logger.debug(`[AI] [socratic-deep] Topic: ${args.topic.slice(0, 60)}, Summary preview: ${args.dialogueSummary.slice(0, 80)}`); + + // 前端 camelCase dialogueSummary → 后端 snake_case dialogue_summary + const reqBody = { + topic: args.topic, + dialogue_summary: args.dialogueSummary, + history: args.history ?? [], + }; + + logger.info(`[AI] [socratic-deep] Target: ${gatewayUrl()}/api/v1/ai/socratic/deepening`); + + interface AngleResp { + key: string; + label: string; + question: string; + } + interface SocraticDeepeningResp { + angles: AngleResp[]; + status: string; + model: string; + tokens_used: number; + latency_ms: number; + } + + try { + const localHandler = async (): Promise => { + const prompt = `针对主题“${args.topic}”的对话摘要，生成深化探索角度，返回JSON: {"angles": [{"key": "...", "label": "...", "question": "..."}], "status": "ok"}`; + const result = await generateText(prompt, '你是一个苏格拉底式深化探索助手。请仅返回JSON。', { temperature: 0.7, maxTokens: 1024 }); + const parsed = JSON.parse(result.content); + return { angles: parsed.angles ?? [], status: 'ok', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/ai/socratic/deepening', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 60000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [socratic-deep] ✔ Success (${source}): angles=${resp.angles.length}, status=${resp.status}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + angles: resp.angles.map((a: { key: string; label: string; question: string }) => ({ + key: a.key, + label: a.label, + question: a.question, + })), + status: resp.status, + model: resp.model, + tokensUsed: resp.tokens_used, + latencyMs: resp.latency_ms, + requestId, + source, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [socratic-deep] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [socratic-deep] Error cause: ${error.cause}`); + throw error; + } + }, + ); +} + +// ================================================================ +// 功能定义导出 +// ================================================================ + +export const feature: AIFeatureDef = { + id: 'ai_socratic', + name: 'AI 苏格拉底追问', + version: '1.0.0', + register, +}; diff --git a/client/electron/ai/handlers/summarizeHandler.ts b/client/electron/ai/handlers/summarizeHandler.ts index b3e3a3ef..81244efa 100644 --- a/client/electron/ai/handlers/summarizeHandler.ts +++ b/client/electron/ai/handlers/summarizeHandler.ts @@ -1,113 +1,115 @@ -/** - * AI 摘要功能 Handler - * - * 处理 ai_summarize IPC 请求，调用 AI 网关生成文本摘要。 - * 支持本地 Ollama 降级：优先调用本地模型，失败后降级到远程网关。 - */ - -import { safeHandle } from '../../ipcUtils.js'; -import { logger } from '../../logger.js'; -import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; -import { generateText } from '../ollama/OllamaProvider.js'; - -// ================================================================ -// IPC Handler -// ================================================================ - -/** - * ai_summarize — POST /api/v1/ai/summarize - * 接收前端 camelCase 参数，转为后端 snake_case 请求体， - * 再将后端 snake_case 响应转回 camelCase。 - */ -function register(): void { - safeHandle( - 'ai_summarize', - async ( - _event, - args: { - text: string; - maxLength?: number; - style?: string; - language?: string; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - logger.info(`[AI] [summarize] IPC received: text_length=${args.text.length}, style=${args.style ?? 'default'}, language=${args.language ?? 'auto'}, maxLength=${args.maxLength ?? 'none'}, hasAuth=${!!args.authToken}`); - logger.debug(`[AI] [summarize] Text preview: ${args.text.slice(0, 80)}...`); - - const reqBody = { - text: args.text, - options: { - ...(args.maxLength != null && { max_length: args.maxLength }), - ...(args.style != null && { style: args.style }), - ...(args.language != null && { language: args.language }), - }, - }; - - logger.info(`[AI] [summarize] Target: ${gatewayUrl()}/api/v1/ai/summarize`); - - interface SummarizeResp { - summary: string; - model: string; - tokens_used: number; - latency_ms: number; - } - - try { - // 本地 Ollama 降级链 - const localHandler = async (): Promise => { - const styleHint = args.style ? `，风格：${args.style}` : ''; - const langHint = args.language ? `，语言：${args.language}` : ''; - const lenHint = args.maxLength ? `，字数控制在${args.maxLength}字以内` : ''; - const prompt = `请对以下内容进行摘要${styleHint}${langHint}${lenHint}：\n\n${args.text}`; - const result = await generateText(prompt, '你是一个专业的学习笔记摘要助手，擅长提炼核心要点。', { temperature: 0.5, maxTokens: 2048 }); - return { - summary: result.content, - model: result.model, - tokens_used: result.tokens_used, - latency_ms: result.latency_ms, - }; - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/ai/summarize', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 90000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [summarize] ✔ Success (${source}): model=${resp.model}, tokens=${resp.tokens_used}, backend_latency=${resp.latency_ms}ms, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - summary: resp.summary, - model: resp.model, - tokensUsed: resp.tokens_used, - latencyMs: resp.latency_ms, - requestId, - source, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [summarize] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [summarize] Error cause: ${error.cause}`); - throw error; - } - }, - ); -} - -// ================================================================ -// 功能定义导出 -// ================================================================ - -export const feature: AIFeatureDef = { - id: 'ai_summarize', - name: 'AI 文本摘要', - version: '1.0.0', - register, -}; +/** + * AI 摘要功能 Handler + * + * 处理 ai_summarize IPC 请求，调用 AI 网关生成文本摘要。 + * 支持本地 Ollama 降级：优先调用本地模型，失败后降级到远程网关。 + * + * @ai-context: 笔记摘要 IPC handler——AIFeatureDef 注册表模式，经 callWithLocalFallback 支持本地 Ollama 优先/云端网关降级；请求响应契约与网关 Pydantic model 对齐。 + */ + +import { safeHandle } from '../../ipcUtils.js'; +import { logger } from '../../logger.js'; +import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; +import { generateText } from '../ollama/OllamaProvider.js'; + +// ================================================================ +// IPC Handler +// ================================================================ + +/** + * ai_summarize — POST /api/v1/ai/summarize + * 接收前端 camelCase 参数，转为后端 snake_case 请求体， + * 再将后端 snake_case 响应转回 camelCase。 + */ +function register(): void { + safeHandle( + 'ai_summarize', + async ( + _event, + args: { + text: string; + maxLength?: number; + style?: string; + language?: string; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + logger.info(`[AI] [summarize] IPC received: text_length=${args.text.length}, style=${args.style ?? 'default'}, language=${args.language ?? 'auto'}, maxLength=${args.maxLength ?? 'none'}, hasAuth=${!!args.authToken}`); + logger.debug(`[AI] [summarize] Text preview: ${args.text.slice(0, 80)}...`); + + const reqBody = { + text: args.text, + options: { + ...(args.maxLength != null && { max_length: args.maxLength }), + ...(args.style != null && { style: args.style }), + ...(args.language != null && { language: args.language }), + }, + }; + + logger.info(`[AI] [summarize] Target: ${gatewayUrl()}/api/v1/ai/summarize`); + + interface SummarizeResp { + summary: string; + model: string; + tokens_used: number; + latency_ms: number; + } + + try { + // 本地 Ollama 降级链 + const localHandler = async (): Promise => { + const styleHint = args.style ? `，风格：${args.style}` : ''; + const langHint = args.language ? `，语言：${args.language}` : ''; + const lenHint = args.maxLength ? `，字数控制在${args.maxLength}字以内` : ''; + const prompt = `请对以下内容进行摘要${styleHint}${langHint}${lenHint}：\n\n${args.text}`; + const result = await generateText(prompt, '你是一个专业的学习笔记摘要助手，擅长提炼核心要点。', { temperature: 0.5, maxTokens: 2048 }); + return { + summary: result.content, + model: result.model, + tokens_used: result.tokens_used, + latency_ms: result.latency_ms, + }; + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/ai/summarize', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 90000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [summarize] ✔ Success (${source}): model=${resp.model}, tokens=${resp.tokens_used}, backend_latency=${resp.latency_ms}ms, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + summary: resp.summary, + model: resp.model, + tokensUsed: resp.tokens_used, + latencyMs: resp.latency_ms, + requestId, + source, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [summarize] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [summarize] Error cause: ${error.cause}`); + throw error; + } + }, + ); +} + +// ================================================================ +// 功能定义导出 +// ================================================================ + +export const feature: AIFeatureDef = { + id: 'ai_summarize', + name: 'AI 文本摘要', + version: '1.0.0', + register, +}; diff --git a/client/electron/ai/handlers/tagHandler.ts b/client/electron/ai/handlers/tagHandler.ts index 1d9ed683..5368c420 100644 --- a/client/electron/ai/handlers/tagHandler.ts +++ b/client/electron/ai/handlers/tagHandler.ts @@ -1,188 +1,190 @@ -/** - * AI 标签/内容分类功能 Handler - * - * 处理 ai_tag_content 和 ai_sort_inspiration IPC 请求， - * 调用 AI 网关进行内容分类和灵感归档。 - */ - -import { safeHandle } from '../../ipcUtils.js'; -import { logger } from '../../logger.js'; -import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; -import { generateText } from '../ollama/OllamaProvider.js'; - -// ================================================================ -// IPC Handler -// ================================================================ - -/** - * 注册标签/内容分类相关的所有 IPC handler - */ -function register(): void { - /** - * ai_tag_content — POST /api/v1/ai/tag-content - */ - safeHandle( - 'ai_tag_content', - async ( - _event, - args: { - content: string; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - logger.info(`[AI] [tag] IPC received: content_length=${args.content.length}, hasAuth=${!!args.authToken}`); - logger.debug(`[AI] [tag] Content preview: ${args.content.slice(0, 80)}...`); - - const reqBody = { content: args.content }; - - logger.info(`[AI] [tag] Target: ${gatewayUrl()}/api/v1/ai/tag-content`); - - interface TagContentResp { - content_nature: string; - cognitive_depth: string; - subject: string; - model: string; - tokens_used: number; - latency_ms: number; - } - - try { - const localHandler = async (): Promise => { - const prompt = `请对以下内容进行分类，返回JSON格式: {"content_nature": "...", "cognitive_depth": "...", "subject": "..."}\n\n内容：\n${args.content}`; - const result = await generateText(prompt, '你是一个内容分类助手，擅长判断内容的性质、认知深度和学科。请仅返回JSON。', { temperature: 0.3, maxTokens: 512 }); - try { - const parsed = JSON.parse(result.content); - return { content_nature: parsed.content_nature ?? 'unknown', cognitive_depth: parsed.cognitive_depth ?? 'unknown', subject: parsed.subject ?? 'unknown', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; - } catch { - return { content_nature: 'unknown', cognitive_depth: 'unknown', subject: 'unknown', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; - } - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/ai/tag-content', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 30000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [tag] ✔ Success (${source}): nature=${resp.content_nature}, depth=${resp.cognitive_depth}, subject=${resp.subject}, model=${resp.model}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - contentNature: resp.content_nature, - cognitiveDepth: resp.cognitive_depth, - subject: resp.subject, - model: resp.model, - tokensUsed: resp.tokens_used, - latencyMs: resp.latency_ms, - requestId, - source, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [tag] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [tag] Error cause: ${error.cause}`); - throw error; - } - }, - ); - - /** - * ai_sort_inspiration — POST /api/v1/ai/sort-inspiration - */ - safeHandle( - 'ai_sort_inspiration', - async ( - _event, - args: { - content: string; - existingTags?: Record; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - logger.info(`[AI] [sort-insp] IPC received: content_length=${args.content.length}, existingTags=${args.existingTags ? Object.keys(args.existingTags).length : 0}, hasAuth=${!!args.authToken}`); - logger.debug(`[AI] [sort-insp] Content preview: ${args.content.slice(0, 80)}...`); - - const reqBody = { - content: args.content, - existing_tags: args.existingTags, - }; - - logger.info(`[AI] [sort-insp] Target: ${gatewayUrl()}/api/v1/ai/sort-inspiration`); - - interface SortSuggestionResp { - category: string; - reason: string; - confidence: number; - suggested_action: string; - } - interface SortInspirationResp { - suggestions: SortSuggestionResp[]; - model: string; - tokens_used: number; - latency_ms: number; - } - - try { - const localHandler = async (): Promise => { - const prompt = `请对以下灵感内容进行归档建议，返回JSON格式: {"suggestions": [{"category": "...", "reason": "...", "confidence": 0.8, "suggested_action": "..."}]}\n\n内容：\n${args.content}`; - const result = await generateText(prompt, '你是一个灵感归档助手，擅长为灵感内容推荐分类和归档建议。请仅返回JSON。', { temperature: 0.4, maxTokens: 1024 }); - try { - const parsed = JSON.parse(result.content); - return { suggestions: parsed.suggestions ?? [], model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; - } catch { - return { suggestions: [], model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; - } - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/ai/sort-inspiration', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 30000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [sort-insp] ✔ Success (${source}): suggestions=${resp.suggestions.length}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - suggestions: resp.suggestions.map((s) => ({ - category: s.category, - reason: s.reason, - confidence: s.confidence, - suggestedAction: s.suggested_action, - })), - model: resp.model, - tokensUsed: resp.tokens_used, - latencyMs: resp.latency_ms, - requestId, - source, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [sort-insp] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [sort-insp] Error cause: ${error.cause}`); - throw error; - } - }, - ); -} - -// ================================================================ -// 功能定义导出 -// ================================================================ - -export const feature: AIFeatureDef = { - id: 'ai_tag', - name: 'AI 标签与萤火海沟分类', - version: '1.0.0', - register, -}; +/** + * AI 标签/内容分类功能 Handler + * + * 处理 ai_tag_content 和 ai_sort_inspiration IPC 请求， + * 调用 AI 网关进行内容分类和灵感归档。 + * + * @ai-context: 内容打标 IPC handler——AIFeatureDef 注册表模式，经 callWithLocalFallback 支持本地 Ollama 优先/云端网关降级；请求响应契约与网关 Pydantic model 对齐。 + */ + +import { safeHandle } from '../../ipcUtils.js'; +import { logger } from '../../logger.js'; +import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; +import { generateText } from '../ollama/OllamaProvider.js'; + +// ================================================================ +// IPC Handler +// ================================================================ + +/** + * 注册标签/内容分类相关的所有 IPC handler + */ +function register(): void { + /** + * ai_tag_content — POST /api/v1/ai/tag-content + */ + safeHandle( + 'ai_tag_content', + async ( + _event, + args: { + content: string; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + logger.info(`[AI] [tag] IPC received: content_length=${args.content.length}, hasAuth=${!!args.authToken}`); + logger.debug(`[AI] [tag] Content preview: ${args.content.slice(0, 80)}...`); + + const reqBody = { content: args.content }; + + logger.info(`[AI] [tag] Target: ${gatewayUrl()}/api/v1/ai/tag-content`); + + interface TagContentResp { + content_nature: string; + cognitive_depth: string; + subject: string; + model: string; + tokens_used: number; + latency_ms: number; + } + + try { + const localHandler = async (): Promise => { + const prompt = `请对以下内容进行分类，返回JSON格式: {"content_nature": "...", "cognitive_depth": "...", "subject": "..."}\n\n内容：\n${args.content}`; + const result = await generateText(prompt, '你是一个内容分类助手，擅长判断内容的性质、认知深度和学科。请仅返回JSON。', { temperature: 0.3, maxTokens: 512 }); + try { + const parsed = JSON.parse(result.content); + return { content_nature: parsed.content_nature ?? 'unknown', cognitive_depth: parsed.cognitive_depth ?? 'unknown', subject: parsed.subject ?? 'unknown', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; + } catch { + return { content_nature: 'unknown', cognitive_depth: 'unknown', subject: 'unknown', model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; + } + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/ai/tag-content', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 30000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [tag] ✔ Success (${source}): nature=${resp.content_nature}, depth=${resp.cognitive_depth}, subject=${resp.subject}, model=${resp.model}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + contentNature: resp.content_nature, + cognitiveDepth: resp.cognitive_depth, + subject: resp.subject, + model: resp.model, + tokensUsed: resp.tokens_used, + latencyMs: resp.latency_ms, + requestId, + source, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [tag] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [tag] Error cause: ${error.cause}`); + throw error; + } + }, + ); + + /** + * ai_sort_inspiration — POST /api/v1/ai/sort-inspiration + */ + safeHandle( + 'ai_sort_inspiration', + async ( + _event, + args: { + content: string; + existingTags?: Record; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + logger.info(`[AI] [sort-insp] IPC received: content_length=${args.content.length}, existingTags=${args.existingTags ? Object.keys(args.existingTags).length : 0}, hasAuth=${!!args.authToken}`); + logger.debug(`[AI] [sort-insp] Content preview: ${args.content.slice(0, 80)}...`); + + const reqBody = { + content: args.content, + existing_tags: args.existingTags, + }; + + logger.info(`[AI] [sort-insp] Target: ${gatewayUrl()}/api/v1/ai/sort-inspiration`); + + interface SortSuggestionResp { + category: string; + reason: string; + confidence: number; + suggested_action: string; + } + interface SortInspirationResp { + suggestions: SortSuggestionResp[]; + model: string; + tokens_used: number; + latency_ms: number; + } + + try { + const localHandler = async (): Promise => { + const prompt = `请对以下灵感内容进行归档建议，返回JSON格式: {"suggestions": [{"category": "...", "reason": "...", "confidence": 0.8, "suggested_action": "..."}]}\n\n内容：\n${args.content}`; + const result = await generateText(prompt, '你是一个灵感归档助手，擅长为灵感内容推荐分类和归档建议。请仅返回JSON。', { temperature: 0.4, maxTokens: 1024 }); + try { + const parsed = JSON.parse(result.content); + return { suggestions: parsed.suggestions ?? [], model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; + } catch { + return { suggestions: [], model: result.model, tokens_used: result.tokens_used, latency_ms: result.latency_ms }; + } + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/ai/sort-inspiration', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 30000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [sort-insp] ✔ Success (${source}): suggestions=${resp.suggestions.length}, model=${resp.model}, tokens=${resp.tokens_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + suggestions: resp.suggestions.map((s) => ({ + category: s.category, + reason: s.reason, + confidence: s.confidence, + suggestedAction: s.suggested_action, + })), + model: resp.model, + tokensUsed: resp.tokens_used, + latencyMs: resp.latency_ms, + requestId, + source, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [sort-insp] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [sort-insp] Error cause: ${error.cause}`); + throw error; + } + }, + ); +} + +// ================================================================ +// 功能定义导出 +// ================================================================ + +export const feature: AIFeatureDef = { + id: 'ai_tag', + name: 'AI 标签与萤火海沟分类', + version: '1.0.0', + register, +}; diff --git a/client/electron/ai/handlers/videoAnalyzeHandler.ts b/client/electron/ai/handlers/videoAnalyzeHandler.ts index cba01e0a..a8ed64cc 100644 --- a/client/electron/ai/handlers/videoAnalyzeHandler.ts +++ b/client/electron/ai/handlers/videoAnalyzeHandler.ts @@ -1,107 +1,109 @@ -/** - * AI 视频分析功能 Handler - * - * 处理 ai_video_analyze IPC 请求，调用 AI 网关对视频文件进行多模态分析。 - * 不支持本地 Ollama 降级（Ollama 不支持视频处理），仅走远程网关。 - * 对应端点：POST /api/v1/multimodal/analyze-video（multipart/form-data） - */ - -import { readFile } from 'fs/promises'; -import * as path from 'path'; -import { app } from 'electron'; -import { safeHandle } from '../../ipcUtils.js'; -import { logger } from '../../logger.js'; -import { gatewayUrl, postMultipart, type AIFeatureDef } from '../utils.js'; - -// ================================================================ -// IPC Handler -// ================================================================ - -/** - * ai_video_analyze — POST /api/v1/multimodal/analyze-video - */ -function register(): void { - safeHandle( - 'ai_video_analyze', - async ( - _event, - args: { - filePath: string; - duration?: number; - language?: string; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - logger.info(`[AI] [video-analyze] IPC received: filePath=${args.filePath}, duration=${args.duration ?? 'N/A'}, language=${args.language ?? 'zh'}, hasAuth=${!!args.authToken}`); - - logger.info(`[AI] [video-analyze] Target: ${gatewayUrl()}/api/v1/multimodal/analyze-video`); - - interface AnalyzeVideoResp { - content: string; - keyframes_analyzed: number; - model_used: string; - } - - try { - // SEC: 路径安全校验 — 仅允许读取应用数据目录或临时目录（与 main.ts fs:read-file 保持一致） - const resolvedPath = path.resolve(args.filePath); - const appDataPath = app.getPath('userData'); - const tempPath = app.getPath('temp'); - if (!resolvedPath.startsWith(appDataPath) && !resolvedPath.startsWith(tempPath)) { - throw new Error(`[AI] [video-analyze] File path not allowed: ${resolvedPath}`); - } - - // 主进程读取视频文件 - const fileBuffer = await readFile(resolvedPath); - const fileName = args.filePath.split(/[\\/]/).pop() ?? 'recording.webm'; - - // 构造 FormData - const blob = new Blob([fileBuffer], { type: 'video/webm' }); - const formData = new FormData(); - formData.append('video_file', blob, fileName); - if (args.duration !== undefined) formData.append('duration', String(args.duration)); - if (args.language) formData.append('language', args.language); - - logger.info(`[AI] [video-analyze] File loaded: ${fileName}, size=${fileBuffer.length} bytes`); - - // 直接调用远程网关（Ollama 不支持视频处理，无本地降级） - const { data: resp, requestId } = await postMultipart( - '/api/v1/multimodal/analyze-video', - formData, - args.authToken, - args.userApiKey, - 300000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [video-analyze] ✔ Success (remote): content_length=${resp.content?.length ?? 0}, keyframes_analyzed=${resp.keyframes_analyzed}, model=${resp.model_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - content: resp.content, - keyframesAnalyzed: resp.keyframes_analyzed, - modelUsed: resp.model_used, - source: 'remote' as const, - requestId, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [video-analyze] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [video-analyze] Error cause: ${error.cause}`); - throw error; - } - }, - ); -} - -// ================================================================ -// 功能定义导出 -// ================================================================ - -export const feature: AIFeatureDef = { - id: 'ai_video_analyze', - name: 'AI 视频分析', - version: '1.0.0', - register, -}; +/** + * AI 视频分析功能 Handler + * + * 处理 ai_video_analyze IPC 请求，调用 AI 网关对视频文件进行多模态分析。 + * 不支持本地 Ollama 降级（Ollama 不支持视频处理），仅走远程网关。 + * 对应端点：POST /api/v1/multimodal/analyze-video（multipart/form-data） + * + * @ai-context: 视频分析（multipart 上传） IPC handler——AIFeatureDef 注册表模式，经 callWithLocalFallback 支持本地 Ollama 优先/云端网关降级；请求响应契约与网关 Pydantic model 对齐。 + */ + +import { readFile } from 'fs/promises'; +import * as path from 'path'; +import { app } from 'electron'; +import { safeHandle } from '../../ipcUtils.js'; +import { logger } from '../../logger.js'; +import { gatewayUrl, postMultipart, type AIFeatureDef } from '../utils.js'; + +// ================================================================ +// IPC Handler +// ================================================================ + +/** + * ai_video_analyze — POST /api/v1/multimodal/analyze-video + */ +function register(): void { + safeHandle( + 'ai_video_analyze', + async ( + _event, + args: { + filePath: string; + duration?: number; + language?: string; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + logger.info(`[AI] [video-analyze] IPC received: filePath=${args.filePath}, duration=${args.duration ?? 'N/A'}, language=${args.language ?? 'zh'}, hasAuth=${!!args.authToken}`); + + logger.info(`[AI] [video-analyze] Target: ${gatewayUrl()}/api/v1/multimodal/analyze-video`); + + interface AnalyzeVideoResp { + content: string; + keyframes_analyzed: number; + model_used: string; + } + + try { + // SEC: 路径安全校验 — 仅允许读取应用数据目录或临时目录（与 main.ts fs:read-file 保持一致） + const resolvedPath = path.resolve(args.filePath); + const appDataPath = app.getPath('userData'); + const tempPath = app.getPath('temp'); + if (!resolvedPath.startsWith(appDataPath) && !resolvedPath.startsWith(tempPath)) { + throw new Error(`[AI] [video-analyze] File path not allowed: ${resolvedPath}`); + } + + // 主进程读取视频文件 + const fileBuffer = await readFile(resolvedPath); + const fileName = args.filePath.split(/[\\/]/).pop() ?? 'recording.webm'; + + // 构造 FormData + const blob = new Blob([fileBuffer], { type: 'video/webm' }); + const formData = new FormData(); + formData.append('video_file', blob, fileName); + if (args.duration !== undefined) formData.append('duration', String(args.duration)); + if (args.language) formData.append('language', args.language); + + logger.info(`[AI] [video-analyze] File loaded: ${fileName}, size=${fileBuffer.length} bytes`); + + // 直接调用远程网关（Ollama 不支持视频处理，无本地降级） + const { data: resp, requestId } = await postMultipart( + '/api/v1/multimodal/analyze-video', + formData, + args.authToken, + args.userApiKey, + 300000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [video-analyze] ✔ Success (remote): content_length=${resp.content?.length ?? 0}, keyframes_analyzed=${resp.keyframes_analyzed}, model=${resp.model_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + content: resp.content, + keyframesAnalyzed: resp.keyframes_analyzed, + modelUsed: resp.model_used, + source: 'remote' as const, + requestId, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [video-analyze] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [video-analyze] Error cause: ${error.cause}`); + throw error; + } + }, + ); +} + +// ================================================================ +// 功能定义导出 +// ================================================================ + +export const feature: AIFeatureDef = { + id: 'ai_video_analyze', + name: 'AI 视频分析', + version: '1.0.0', + register, +}; diff --git a/client/electron/ai/handlers/visionExtractHandler.ts b/client/electron/ai/handlers/visionExtractHandler.ts index bfa58410..9e904529 100644 --- a/client/electron/ai/handlers/visionExtractHandler.ts +++ b/client/electron/ai/handlers/visionExtractHandler.ts @@ -1,130 +1,132 @@ -/** - * AI 视觉提取功能 Handler - * - * 处理 ai_vision_extract IPC 请求，调用 AI 网关对图片进行多模态内容提取。 - * 支持本地 Ollama 降级：优先调用本地多模态模型，失败后降级到远程网关。 - * 对应端点：POST /api/v1/vision/extract - */ - -import { safeHandle } from '../../ipcUtils.js'; -import { logger } from '../../logger.js'; -import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; -import { generateVision } from '../ollama/OllamaProvider.js'; - -// ================================================================ -// IPC Handler -// ================================================================ - -/** - * ai_vision_extract — POST /api/v1/vision/extract - */ -function register(): void { - safeHandle( - 'ai_vision_extract', - async ( - _event, - args: { - imageBase64: string; - language?: string; - mode?: string; - authToken?: string; - userApiKey?: string; - }, - ) => { - const startMs = Date.now(); - const base64Len = args.imageBase64?.length ?? 0; - logger.info(`[AI] [vision-extract] IPC received: image_base64_length=${base64Len}, language=${args.language ?? 'zh'}, mode=${args.mode ?? 'auto'}, hasAuth=${!!args.authToken}`); - - const reqBody = { - image_base64: args.imageBase64, - language: args.language ?? 'zh', - mode: args.mode ?? 'auto', - }; - - logger.info(`[AI] [vision-extract] Target: ${gatewayUrl()}/api/v1/vision/extract`); - - interface CodeBlockResp { - language: string; - code: string; - } - interface VisionExtractResp { - text: string; - formulas: string[]; - diagrams: string[]; - key_points: string[]; - code_blocks: CodeBlockResp[]; - concepts: string[]; - confidence: number; - model_used: string; - processing_time_ms: number; - mode: string; - } - - try { - // 本地 Ollama 降级链 - const localHandler = async (): Promise => { - const prompt = `请对这张图片进行内容提取。提取所有可见文本、公式、图表描述、关键要点、代码块和核心概念。\n语言：${args.language ?? 'zh'}\n模式：${args.mode ?? 'auto'}`; - const result = await generateVision(args.imageBase64, prompt, '你是一个专业的视觉内容提取助手，擅长从图片中提取结构化信息。', { temperature: 0.3, maxTokens: 4096 }); - return { - text: result.content, - formulas: [], - diagrams: [], - key_points: [], - code_blocks: [], - concepts: [], - confidence: result.content.trim() ? 0.85 : 0.3, - model_used: result.model, - processing_time_ms: result.latency_ms, - mode: args.mode ?? 'auto', - }; - }; - - const { data: resp, source, requestId } = await callWithLocalFallback( - '/api/v1/vision/extract', - reqBody, - localHandler, - args.authToken, - args.userApiKey, - 90000, - ); - - const elapsed = Date.now() - startMs; - logger.info(`[AI] [vision-extract] ✔ Success (${source}): text_length=${resp.text?.length ?? 0}, formulas=${resp.formulas?.length ?? 0}, concepts=${resp.concepts?.length ?? 0}, confidence=${resp.confidence}, model=${resp.model_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); - return { - text: resp.text, - formulas: resp.formulas ?? [], - diagrams: resp.diagrams ?? [], - keyPoints: resp.key_points ?? [], - codeBlocks: (resp.code_blocks ?? []).map((cb) => ({ - language: cb.language, - code: cb.code, - })), - concepts: resp.concepts ?? [], - confidence: resp.confidence, - modelUsed: resp.model_used, - processingTimeMs: resp.processing_time_ms, - mode: resp.mode, - requestId, - source, - }; - } catch (err) { - const elapsed = Date.now() - startMs; - const error = err instanceof Error ? err : new Error(String(err)); - logger.error(`[AI] [vision-extract] ✖ Failed after ${elapsed}ms: ${error.message}`); - if (error.cause) logger.error(`[AI] [vision-extract] Error cause: ${error.cause}`); - throw error; - } - }, - ); -} - -// ================================================================ -// 功能定义导出 -// ================================================================ - -export const feature: AIFeatureDef = { - id: 'ai_vision_extract', - name: 'AI 视觉内容提取', - version: '1.0.0', - register, -}; +/** + * AI 视觉提取功能 Handler + * + * 处理 ai_vision_extract IPC 请求，调用 AI 网关对图片进行多模态内容提取。 + * 支持本地 Ollama 降级：优先调用本地多模态模型，失败后降级到远程网关。 + * 对应端点：POST /api/v1/vision/extract + * + * @ai-context: 视觉提取（截图 OCR/理解） IPC handler——AIFeatureDef 注册表模式，经 callWithLocalFallback 支持本地 Ollama 优先/云端网关降级；请求响应契约与网关 Pydantic model 对齐。 + */ + +import { safeHandle } from '../../ipcUtils.js'; +import { logger } from '../../logger.js'; +import { callWithLocalFallback, gatewayUrl, type AIFeatureDef } from '../utils.js'; +import { generateVision } from '../ollama/OllamaProvider.js'; + +// ================================================================ +// IPC Handler +// ================================================================ + +/** + * ai_vision_extract — POST /api/v1/vision/extract + */ +function register(): void { + safeHandle( + 'ai_vision_extract', + async ( + _event, + args: { + imageBase64: string; + language?: string; + mode?: string; + authToken?: string; + userApiKey?: string; + }, + ) => { + const startMs = Date.now(); + const base64Len = args.imageBase64?.length ?? 0; + logger.info(`[AI] [vision-extract] IPC received: image_base64_length=${base64Len}, language=${args.language ?? 'zh'}, mode=${args.mode ?? 'auto'}, hasAuth=${!!args.authToken}`); + + const reqBody = { + image_base64: args.imageBase64, + language: args.language ?? 'zh', + mode: args.mode ?? 'auto', + }; + + logger.info(`[AI] [vision-extract] Target: ${gatewayUrl()}/api/v1/vision/extract`); + + interface CodeBlockResp { + language: string; + code: string; + } + interface VisionExtractResp { + text: string; + formulas: string[]; + diagrams: string[]; + key_points: string[]; + code_blocks: CodeBlockResp[]; + concepts: string[]; + confidence: number; + model_used: string; + processing_time_ms: number; + mode: string; + } + + try { + // 本地 Ollama 降级链 + const localHandler = async (): Promise => { + const prompt = `请对这张图片进行内容提取。提取所有可见文本、公式、图表描述、关键要点、代码块和核心概念。\n语言：${args.language ?? 'zh'}\n模式：${args.mode ?? 'auto'}`; + const result = await generateVision(args.imageBase64, prompt, '你是一个专业的视觉内容提取助手，擅长从图片中提取结构化信息。', { temperature: 0.3, maxTokens: 4096 }); + return { + text: result.content, + formulas: [], + diagrams: [], + key_points: [], + code_blocks: [], + concepts: [], + confidence: result.content.trim() ? 0.85 : 0.3, + model_used: result.model, + processing_time_ms: result.latency_ms, + mode: args.mode ?? 'auto', + }; + }; + + const { data: resp, source, requestId } = await callWithLocalFallback( + '/api/v1/vision/extract', + reqBody, + localHandler, + args.authToken, + args.userApiKey, + 90000, + ); + + const elapsed = Date.now() - startMs; + logger.info(`[AI] [vision-extract] ✔ Success (${source}): text_length=${resp.text?.length ?? 0}, formulas=${resp.formulas?.length ?? 0}, concepts=${resp.concepts?.length ?? 0}, confidence=${resp.confidence}, model=${resp.model_used}, total=${elapsed}ms, reqId=${requestId ?? 'N/A'}`); + return { + text: resp.text, + formulas: resp.formulas ?? [], + diagrams: resp.diagrams ?? [], + keyPoints: resp.key_points ?? [], + codeBlocks: (resp.code_blocks ?? []).map((cb) => ({ + language: cb.language, + code: cb.code, + })), + concepts: resp.concepts ?? [], + confidence: resp.confidence, + modelUsed: resp.model_used, + processingTimeMs: resp.processing_time_ms, + mode: resp.mode, + requestId, + source, + }; + } catch (err) { + const elapsed = Date.now() - startMs; + const error = err instanceof Error ? err : new Error(String(err)); + logger.error(`[AI] [vision-extract] ✖ Failed after ${elapsed}ms: ${error.message}`); + if (error.cause) logger.error(`[AI] [vision-extract] Error cause: ${error.cause}`); + throw error; + } + }, + ); +} + +// ================================================================ +// 功能定义导出 +// ================================================================ + +export const feature: AIFeatureDef = { + id: 'ai_vision_extract', + name: 'AI 视觉内容提取', + version: '1.0.0', + register, +}; diff --git a/client/electron/ai/index.ts b/client/electron/ai/index.ts index 7f4638a9..433e1371 100644 --- a/client/electron/ai/index.ts +++ b/client/electron/ai/index.ts @@ -1,86 +1,88 @@ -/** - * AI Handler 统一注册入口 - * - * 汇总所有 AI 功能 handler，提供 registerAIHandlers() 函数 - * 一次性注册全部 AI IPC handler。 - */ - -import { logger } from '../logger.js'; -import type { AIFeatureDef } from './utils.js'; -import { registerOllamaHandlers, initOllama } from './ollama/index.js'; -import { registerStreamHandler } from './streamHandler.js'; - -// 导入所有 AI 功能模块 -import { feature as summarizeFeature } from './handlers/summarizeHandler.js'; -import { feature as flashcardFeature } from './handlers/flashcardHandler.js'; -import { feature as evaluateFeature } from './handlers/evaluateHandler.js'; -import { feature as feynmanFeature } from './handlers/feynmanHandler.js'; -import { feature as tagFeature } from './handlers/tagHandler.js'; -import { feature as recommendFeature } from './handlers/recommendHandler.js'; -import { feature as optimizeCardFeature } from './handlers/optimizeCardHandler.js'; -import { feature as anchorPointFeature } from './handlers/anchorPointHandler.js'; -import { feature as socraticFeature } from './handlers/socraticHandler.js'; -import { feature as predictFeature } from './handlers/predictHandler.js'; -import { feature as rescueFeature } from './handlers/rescueHandler.js'; -import { feature as visionExtractFeature } from './handlers/visionExtractHandler.js'; -import { feature as sessionAnalyzeFeature } from './handlers/sessionAnalyzeHandler.js'; -import { feature as videoAnalyzeFeature } from './handlers/videoAnalyzeHandler.js'; -import { feature as mergeNotesFeature } from './handlers/mergeNotesHandler.js'; - -// ================================================================ -// 功能注册表 -// ================================================================ - -/** 所有已注册的 AI 功能模块 */ -const features: AIFeatureDef[] = [ - summarizeFeature, - flashcardFeature, - evaluateFeature, - feynmanFeature, - tagFeature, - recommendFeature, - optimizeCardFeature, - anchorPointFeature, - socraticFeature, - predictFeature, - rescueFeature, - visionExtractFeature, - sessionAnalyzeFeature, - videoAnalyzeFeature, - mergeNotesFeature, -]; - -// ================================================================ -// 统一注册函数 -// ================================================================ - -/** - * 注册所有 AI IPC Handler - * - * 遍历功能注册表，依次调用每个功能的 register() 方法， - * 将对应的 safeHandle 绑定到 ipcMain。 - * 同时注册 Ollama 本地推理相关 IPC handler。 - */ -export function registerAIHandlers(): void { - logger.info(`[AI] Registering ${features.length} AI feature(s)...`); - for (const feat of features) { - feat.register(); - logger.info(`[AI] Registered: ${feat.name} (${feat.id}) v${feat.version}`); - } - - // 注册 Ollama 本地推理 IPC handler - registerOllamaHandlers(); - - // 注册流式输出 IPC handler - registerStreamHandler(); - - logger.info('[AI] All AI handlers registered successfully'); -} - -/** - * 初始化 AI 模块（包括 Ollama 配置加载与检测） - * 应在应用启动时、registerAIHandlers() 之前调用 - */ -export async function initAIModule(): Promise { - await initOllama(); -} +/** + * AI Handler 统一注册入口 + * + * 汇总所有 AI 功能 handler，提供 registerAIHandlers() 函数 + * 一次性注册全部 AI IPC handler。 + * + * @ai-context: AI 模块注册引擎：收集全部 AIFeatureDef 并注册 IPC；新增 AI 功能在此登记 features 数组。 + */ + +import { logger } from '../logger.js'; +import type { AIFeatureDef } from './utils.js'; +import { registerOllamaHandlers, initOllama } from './ollama/index.js'; +import { registerStreamHandler } from './streamHandler.js'; + +// 导入所有 AI 功能模块 +import { feature as summarizeFeature } from './handlers/summarizeHandler.js'; +import { feature as flashcardFeature } from './handlers/flashcardHandler.js'; +import { feature as evaluateFeature } from './handlers/evaluateHandler.js'; +import { feature as feynmanFeature } from './handlers/feynmanHandler.js'; +import { feature as tagFeature } from './handlers/tagHandler.js'; +import { feature as recommendFeature } from './handlers/recommendHandler.js'; +import { feature as optimizeCardFeature } from './handlers/optimizeCardHandler.js'; +import { feature as anchorPointFeature } from './handlers/anchorPointHandler.js'; +import { feature as socraticFeature } from './handlers/socraticHandler.js'; +import { feature as predictFeature } from './handlers/predictHandler.js'; +import { feature as rescueFeature } from './handlers/rescueHandler.js'; +import { feature as visionExtractFeature } from './handlers/visionExtractHandler.js'; +import { feature as sessionAnalyzeFeature } from './handlers/sessionAnalyzeHandler.js'; +import { feature as videoAnalyzeFeature } from './handlers/videoAnalyzeHandler.js'; +import { feature as mergeNotesFeature } from './handlers/mergeNotesHandler.js'; + +// ================================================================ +// 功能注册表 +// ================================================================ + +/** 所有已注册的 AI 功能模块 */ +const features: AIFeatureDef[] = [ + summarizeFeature, + flashcardFeature, + evaluateFeature, + feynmanFeature, + tagFeature, + recommendFeature, + optimizeCardFeature, + anchorPointFeature, + socraticFeature, + predictFeature, + rescueFeature, + visionExtractFeature, + sessionAnalyzeFeature, + videoAnalyzeFeature, + mergeNotesFeature, +]; + +// ================================================================ +// 统一注册函数 +// ================================================================ + +/** + * 注册所有 AI IPC Handler + * + * 遍历功能注册表，依次调用每个功能的 register() 方法， + * 将对应的 safeHandle 绑定到 ipcMain。 + * 同时注册 Ollama 本地推理相关 IPC handler。 + */ +export function registerAIHandlers(): void { + logger.info(`[AI] Registering ${features.length} AI feature(s)...`); + for (const feat of features) { + feat.register(); + logger.info(`[AI] Registered: ${feat.name} (${feat.id}) v${feat.version}`); + } + + // 注册 Ollama 本地推理 IPC handler + registerOllamaHandlers(); + + // 注册流式输出 IPC handler + registerStreamHandler(); + + logger.info('[AI] All AI handlers registered successfully'); +} + +/** + * 初始化 AI 模块（包括 Ollama 配置加载与检测） + * 应在应用启动时、registerAIHandlers() 之前调用 + */ +export async function initAIModule(): Promise { + await initOllama(); +} diff --git a/client/electron/ai/ollama/OllamaProvider.ts b/client/electron/ai/ollama/OllamaProvider.ts index 682e009c..5292734e 100644 --- a/client/electron/ai/ollama/OllamaProvider.ts +++ b/client/electron/ai/ollama/OllamaProvider.ts @@ -1,242 +1,244 @@ -/** - * Ollama 本地推理 — OpenAI 兼容推理客户端 - * - * 通过 Ollama 的 OpenAI 兼容 API（/v1/chat/completions）执行推理， - * 支持文本生成、单图视觉、多图分析三种模式。 - * 返回格式与远程 AI Gateway 保持一致。 - */ - -import { logger } from '../../logger.js'; -import { getOllamaConfig } from './config.js'; - -// ================================================================ -// 类型定义 -// ================================================================ - -/** 统一推理结果（与 AI Gateway 响应格式一致） */ -export interface OllamaInferenceResult { - content: string; - model: string; - tokens_used: number; - latency_ms: number; -} - -/** 超时配置 */ -const TIMEOUTS = { - text: 60_000, // 文本生成 60s - vision: 120_000, // 单图视觉 120s - multiVision: 180_000, // 多图分析 180s -}; - -// ================================================================ -// 内部辅助 -// ================================================================ - -/** 构建 OpenAI 兼容请求体 */ -function buildChatRequest( - messages: Array<{ role: string; content: unknown }>, - model: string, - temperature: number, - maxTokens: number, -) { - return { - model, - messages, - temperature, - max_tokens: maxTokens, - stream: false, - }; -} - -/** 执行 OpenAI 兼容 chat/completions 请求 */ -async function chatCompletion( - messages: Array<{ role: string; content: unknown }>, - model: string, - timeoutMs: number, - temperature = 0.7, - maxTokens = 2048, -): Promise { - const config = getOllamaConfig(); - const url = `${config.baseUrl}/v1/chat/completions`; - const startTime = Date.now(); - - const body = buildChatRequest(messages, model, temperature, maxTokens); - - logger.info(`[Ollama] → POST ${url} model=${model}, messages=${messages.length}`); - - const controller = new AbortController(); - const timeoutId = setTimeout(() => controller.abort(), timeoutMs); - - let resp: Response; - try { - resp = await fetch(url, { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(body), - signal: controller.signal, - }); - } catch (err: unknown) { - clearTimeout(timeoutId); - const e = err as { name?: string; message?: string }; - if (e.name === 'AbortError') { - throw new Error(`[Ollama] Inference timeout after ${timeoutMs}ms`); - } - throw new Error(`[Ollama] Network error: ${e.message || String(err)}`); - } finally { - clearTimeout(timeoutId); - } - - const latencyMs = Date.now() - startTime; - - if (!resp.ok) { - const detail = await resp.text().catch(() => 'unknown'); - logger.error(`[Ollama] ✖ HTTP ${resp.status} (${latencyMs}ms): ${detail.slice(0, 300)}`); - throw new Error(`[Ollama] HTTP ${resp.status}: ${detail.slice(0, 200)}`); - } - - const data = await resp.json() as { - choices?: Array<{ message?: { content?: string } }>; - usage?: { total_tokens?: number }; - model?: string; - }; - - const content = data.choices?.[0]?.message?.content || ''; - const tokensUsed = data.usage?.total_tokens || 0; - const usedModel = data.model || model; - - logger.info(`[Ollama] ← Success (${latencyMs}ms): model=${usedModel}, tokens=${tokensUsed}, content_length=${content.length}`); - - return { - content, - model: usedModel, - tokens_used: tokensUsed, - latency_ms: latencyMs, - }; -} - -// ================================================================ -// 公共 API -// ================================================================ - -/** - * 文本生成（对应 summarize、evaluate、flashcard、tag 等功能） - * - * @param prompt 用户 prompt - * @param systemPrompt 系统 prompt - * @param options 可选参数 - */ -export async function generateText( - prompt: string, - systemPrompt = '', - options?: { temperature?: number; maxTokens?: number; model?: string }, -): Promise { - const config = getOllamaConfig(); - const model = options?.model || config.models.text; - - const messages: Array<{ role: string; content: unknown }> = []; - if (systemPrompt) { - messages.push({ role: 'system', content: systemPrompt }); - } - messages.push({ role: 'user', content: prompt }); - - return chatCompletion( - messages, - model, - TIMEOUTS.text, - options?.temperature ?? 0.7, - options?.maxTokens ?? 2048, - ); -} - -/** - * 单图视觉分析（对应 vision_extract） - * - * @param imageBase64 图片 base64（不含 data URI 前缀） - * @param prompt 分析 prompt - * @param systemPrompt 系统 prompt - */ -export async function generateVision( - imageBase64: string, - prompt: string, - systemPrompt = '', - options?: { temperature?: number; maxTokens?: number; model?: string }, -): Promise { - const config = getOllamaConfig(); - const model = options?.model || config.models.vision; - - // 确保 base64 不含 data URI 前缀 - const cleanBase64 = imageBase64.startsWith('data:image') - ? imageBase64.split(',', 2)[1] || imageBase64 - : imageBase64; - - const messages: Array<{ role: string; content: unknown }> = []; - if (systemPrompt) { - messages.push({ role: 'system', content: systemPrompt }); - } - messages.push({ - role: 'user', - content: [ - { - type: 'image_url', - image_url: { url: `data:image/png;base64,${cleanBase64}` }, - }, - { - type: 'text', - text: prompt, - }, - ], - }); - - return chatCompletion( - messages, - model, - TIMEOUTS.vision, - options?.temperature ?? 0.3, - options?.maxTokens ?? 4096, - ); -} - -/** - * 多图联合分析（对应 multimodal_analyze） - * - * @param imagesBase64 多张图片 base64 数组 - * @param prompt 分析 prompt - * @param systemPrompt 系统 prompt - */ -export async function generateVisionMulti( - imagesBase64: string[], - prompt: string, - systemPrompt = '', - options?: { temperature?: number; maxTokens?: number; model?: string }, -): Promise { - const config = getOllamaConfig(); - const model = options?.model || config.models.vision; - - const messages: Array<{ role: string; content: unknown }> = []; - if (systemPrompt) { - messages.push({ role: 'system', content: systemPrompt }); - } - - // 构建多图 + 文本的 content 数组 - const contentParts: Array> = []; - for (const img of imagesBase64) { - const cleanBase64 = img.startsWith('data:image') - ? img.split(',', 2)[1] || img - : img; - contentParts.push({ - type: 'image_url', - image_url: { url: `data:image/png;base64,${cleanBase64}` }, - }); - } - contentParts.push({ type: 'text', text: prompt }); - - messages.push({ role: 'user', content: contentParts }); - - return chatCompletion( - messages, - model, - TIMEOUTS.multiVision, - options?.temperature ?? 0.3, - options?.maxTokens ?? 4096, - ); -} +/** + * Ollama 本地推理 — OpenAI 兼容推理客户端 + * + * 通过 Ollama 的 OpenAI 兼容 API（/v1/chat/completions）执行推理， + * 支持文本生成、单图视觉、多图分析三种模式。 + * 返回格式与远程 AI Gateway 保持一致。 + * + * @ai-context: 本地 Ollama 推理封装（OpenAI 兼容 /v1/chat/completions）：供各 handler 的 localHandler 使用，prompt 需适配本地小模型。 + */ + +import { logger } from '../../logger.js'; +import { getOllamaConfig } from './config.js'; + +// ================================================================ +// 类型定义 +// ================================================================ + +/** 统一推理结果（与 AI Gateway 响应格式一致） */ +export interface OllamaInferenceResult { + content: string; + model: string; + tokens_used: number; + latency_ms: number; +} + +/** 超时配置 */ +const TIMEOUTS = { + text: 60_000, // 文本生成 60s + vision: 120_000, // 单图视觉 120s + multiVision: 180_000, // 多图分析 180s +}; + +// ================================================================ +// 内部辅助 +// ================================================================ + +/** 构建 OpenAI 兼容请求体 */ +function buildChatRequest( + messages: Array<{ role: string; content: unknown }>, + model: string, + temperature: number, + maxTokens: number, +) { + return { + model, + messages, + temperature, + max_tokens: maxTokens, + stream: false, + }; +} + +/** 执行 OpenAI 兼容 chat/completions 请求 */ +async function chatCompletion( + messages: Array<{ role: string; content: unknown }>, + model: string, + timeoutMs: number, + temperature = 0.7, + maxTokens = 2048, +): Promise { + const config = getOllamaConfig(); + const url = `${config.baseUrl}/v1/chat/completions`; + const startTime = Date.now(); + + const body = buildChatRequest(messages, model, temperature, maxTokens); + + logger.info(`[Ollama] → POST ${url} model=${model}, messages=${messages.length}`); + + const controller = new AbortController(); + const timeoutId = setTimeout(() => controller.abort(), timeoutMs); + + let resp: Response; + try { + resp = await fetch(url, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(body), + signal: controller.signal, + }); + } catch (err: unknown) { + clearTimeout(timeoutId); + const e = err as { name?: string; message?: string }; + if (e.name === 'AbortError') { + throw new Error(`[Ollama] Inference timeout after ${timeoutMs}ms`); + } + throw new Error(`[Ollama] Network error: ${e.message || String(err)}`); + } finally { + clearTimeout(timeoutId); + } + + const latencyMs = Date.now() - startTime; + + if (!resp.ok) { + const detail = await resp.text().catch(() => 'unknown'); + logger.error(`[Ollama] ✖ HTTP ${resp.status} (${latencyMs}ms): ${detail.slice(0, 300)}`); + throw new Error(`[Ollama] HTTP ${resp.status}: ${detail.slice(0, 200)}`); + } + + const data = await resp.json() as { + choices?: Array<{ message?: { content?: string } }>; + usage?: { total_tokens?: number }; + model?: string; + }; + + const content = data.choices?.[0]?.message?.content || ''; + const tokensUsed = data.usage?.total_tokens || 0; + const usedModel = data.model || model; + + logger.info(`[Ollama] ← Success (${latencyMs}ms): model=${usedModel}, tokens=${tokensUsed}, content_length=${content.length}`); + + return { + content, + model: usedModel, + tokens_used: tokensUsed, + latency_ms: latencyMs, + }; +} + +// ================================================================ +// 公共 API +// ================================================================ + +/** + * 文本生成（对应 summarize、evaluate、flashcard、tag 等功能） + * + * @param prompt 用户 prompt + * @param systemPrompt 系统 prompt + * @param options 可选参数 + */ +export async function generateText( + prompt: string, + systemPrompt = '', + options?: { temperature?: number; maxTokens?: number; model?: string }, +): Promise { + const config = getOllamaConfig(); + const model = options?.model || config.models.text; + + const messages: Array<{ role: string; content: unknown }> = []; + if (systemPrompt) { + messages.push({ role: 'system', content: systemPrompt }); + } + messages.push({ role: 'user', content: prompt }); + + return chatCompletion( + messages, + model, + TIMEOUTS.text, + options?.temperature ?? 0.7, + options?.maxTokens ?? 2048, + ); +} + +/** + * 单图视觉分析（对应 vision_extract） + * + * @param imageBase64 图片 base64（不含 data URI 前缀） + * @param prompt 分析 prompt + * @param systemPrompt 系统 prompt + */ +export async function generateVision( + imageBase64: string, + prompt: string, + systemPrompt = '', + options?: { temperature?: number; maxTokens?: number; model?: string }, +): Promise { + const config = getOllamaConfig(); + const model = options?.model || config.models.vision; + + // 确保 base64 不含 data URI 前缀 + const cleanBase64 = imageBase64.startsWith('data:image') + ? imageBase64.split(',', 2)[1] || imageBase64 + : imageBase64; + + const messages: Array<{ role: string; content: unknown }> = []; + if (systemPrompt) { + messages.push({ role: 'system', content: systemPrompt }); + } + messages.push({ + role: 'user', + content: [ + { + type: 'image_url', + image_url: { url: `data:image/png;base64,${cleanBase64}` }, + }, + { + type: 'text', + text: prompt, + }, + ], + }); + + return chatCompletion( + messages, + model, + TIMEOUTS.vision, + options?.temperature ?? 0.3, + options?.maxTokens ?? 4096, + ); +} + +/** + * 多图联合分析（对应 multimodal_analyze） + * + * @param imagesBase64 多张图片 base64 数组 + * @param prompt 分析 prompt + * @param systemPrompt 系统 prompt + */ +export async function generateVisionMulti( + imagesBase64: string[], + prompt: string, + systemPrompt = '', + options?: { temperature?: number; maxTokens?: number; model?: string }, +): Promise { + const config = getOllamaConfig(); + const model = options?.model || config.models.vision; + + const messages: Array<{ role: string; content: unknown }> = []; + if (systemPrompt) { + messages.push({ role: 'system', content: systemPrompt }); + } + + // 构建多图 + 文本的 content 数组 + const contentParts: Array> = []; + for (const img of imagesBase64) { + const cleanBase64 = img.startsWith('data:image') + ? img.split(',', 2)[1] || img + : img; + contentParts.push({ + type: 'image_url', + image_url: { url: `data:image/png;base64,${cleanBase64}` }, + }); + } + contentParts.push({ type: 'text', text: prompt }); + + messages.push({ role: 'user', content: contentParts }); + + return chatCompletion( + messages, + model, + TIMEOUTS.multiVision, + options?.temperature ?? 0.3, + options?.maxTokens ?? 4096, + ); +} diff --git a/client/electron/ai/ollama/OllamaService.ts b/client/electron/ai/ollama/OllamaService.ts index 6f35afa9..b607d1ec 100644 --- a/client/electron/ai/ollama/OllamaService.ts +++ b/client/electron/ai/ollama/OllamaService.ts @@ -1,349 +1,224 @@ -/** - * Ollama 本地推理 — 服务检测与模型管理 - * - * 职责： - * - 检测 Ollama 可执行文件是否存在 - * - 检测 Ollama 服务是否正在运行 - * - 获取已拉取模型列表 - * - 触发模型拉取（流式进度） - * - 健康缓存（30s TTL） - */ - -import { existsSync } from 'fs'; -import * as path from 'path'; -import { logger } from '../../logger.js'; -import { getOllamaConfig } from './config.js'; - -// ================================================================ -// 类型定义 -// ================================================================ - -/** Ollama 安装与运行状态 */ -export interface OllamaStatus { - installed: boolean; - running: boolean; - models: string[]; - version?: string; - lastChecked: number; -} - -/** 模型拉取进度回调 */ -export interface PullProgressData { - model: string; - status: 'downloading' | 'verifying' | 'complete' | 'error'; - percent: number; - completedBytes?: number; - totalBytes?: number; - error?: string; -} - -// ================================================================ -// 常量 -// ================================================================ - -/** 健康缓存 TTL（ms） */ -const HEALTH_CACHE_TTL = 30_000; - -/** 检测请求超时（ms） */ -const DETECT_TIMEOUT = 3_000; - -// ================================================================ -// 运行时状态 -// ================================================================ - -let _cachedStatus: OllamaStatus | null = null; - -// ================================================================ -// 安装检测 -// ================================================================ - -/** 获取当前平台 Ollama 可执行文件的可能路径 */ -function getOllamaBinaryPaths(): string[] { - const home = process.env.USERPROFILE || process.env.HOME || ''; - const localAppData = process.env.LOCALAPPDATA || path.join(home, 'AppData', 'Local'); - - switch (process.platform) { - case 'win32': - return [ - path.join(localAppData, 'Programs', 'Ollama', 'ollama.exe'), - path.join(localAppData, 'Ollama', 'ollama.exe'), - 'C:\\Program Files\\Ollama\\ollama.exe', - ]; - case 'darwin': - return [ - '/usr/local/bin/ollama', - '/opt/homebrew/bin/ollama', - path.join(home, '.ollama', 'bin', 'ollama'), - ]; - case 'linux': - return [ - '/usr/bin/ollama', - '/usr/local/bin/ollama', - path.join(home, '.ollama', 'bin', 'ollama'), - ]; - default: - return []; - } -} - -/** 检测 Ollama 是否已安装 */ -export function isOllamaInstalled(): boolean { - const paths = getOllamaBinaryPaths(); - return paths.some((p) => existsSync(p)); -} - -// ================================================================ -// 服务检测 -// ================================================================ - -/** - * 检测 Ollama 服务是否正在运行，并获取模型列表 - * 使用 /api/tags 端点（GET），超时 3s - */ -async function detectOllamaService(): Promise<{ running: boolean; models: string[]; version?: string }> { - const config = getOllamaConfig(); - const baseUrl = config.baseUrl; - - try { - const controller = new AbortController(); - const timeoutId = setTimeout(() => controller.abort(), DETECT_TIMEOUT); - - const resp = await fetch(`${baseUrl}/api/tags`, { - method: 'GET', - signal: controller.signal, - }); - clearTimeout(timeoutId); - - if (!resp.ok) { - return { running: false, models: [] }; - } - - const data = await resp.json() as { models?: Array<{ name: string }> }; - const models = (data.models || []).map((m) => m.name); - - // 尝试获取版本号（/api/version 端点） - let version: string | undefined; - try { - const vController = new AbortController(); - const vTimeoutId = setTimeout(() => vController.abort(), 2000); - const vResp = await fetch(`${baseUrl}/api/version`, { signal: vController.signal }); - clearTimeout(vTimeoutId); - if (vResp.ok) { - const vData = await vResp.json() as { version?: string }; - version = vData.version; - } - } catch { - // 版本获取失败不影响主流程 - } - - return { running: true, models, version }; - } catch { - return { running: false, models: [] }; - } -} - -// ================================================================ -// 公共 API -// ================================================================ - -/** - * 获取 Ollama 完整状态（带缓存） - * 缓存 30s，避免频繁探测 - */ -export async function getOllamaStatus(forceRefresh = false): Promise { - // 检查缓存是否有效 - if (!forceRefresh && _cachedStatus && (Date.now() - _cachedStatus.lastChecked < HEALTH_CACHE_TTL)) { - return _cachedStatus; - } - - const installed = isOllamaInstalled(); - let running = false; - let models: string[] = []; - let version: string | undefined; - - if (installed) { - const result = await detectOllamaService(); - running = result.running; - models = result.models; - version = result.version; - } - - _cachedStatus = { - installed, - running, - models, - version, - lastChecked: Date.now(), - }; - - logger.debug(`[Ollama] Status: installed=${installed}, running=${running}, models=[${models.join(', ')}], version=${version ?? 'unknown'}`); - return _cachedStatus; -} - -/** - * 快速判断 Ollama 是否可用（已启用 + 正在运行） - * 用于 AI Handler 降级链判断，不触发网络请求（使用缓存） - */ -export function isOllamaAvailable(): boolean { - if (!_cachedStatus) return false; - // 缓存过期则视为不可用（下次 getOllamaStatus 会刷新） - if (Date.now() - _cachedStatus.lastChecked > HEALTH_CACHE_TTL) return false; - return _cachedStatus.running; -} - -/** - * 拉取模型（流式进度） - * @param modelName 模型名称（如 'qwen2.5:7b'） - * @param onProgress 进度回调 - */ -export async function pullModel( - modelName: string, - onProgress?: (progress: PullProgressData) => void, -): Promise { - const config = getOllamaConfig(); - const baseUrl = config.baseUrl; - - logger.info(`[Ollama] Pulling model: ${modelName}`); - - const resp = await fetch(`${baseUrl}/api/pull`, { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ name: modelName, stream: true }), - }); - - if (!resp.ok) { - const detail = await resp.text().catch(() => 'unknown error'); - throw new Error(`Ollama pull failed: HTTP ${resp.status} - ${detail}`); - } - - if (!resp.body) { - throw new Error('Ollama pull: no response body'); - } - - // 流式读取 NDJSON 进度 - const reader = resp.body.getReader(); - const decoder = new TextDecoder(); - let buffer = ''; - - while (true) { - const { done, value } = await reader.read(); - if (done) break; - - buffer += decoder.decode(value, { stream: true }); - const lines = buffer.split('\n'); - buffer = lines.pop() || ''; - - for (const line of lines) { - if (!line.trim()) continue; - try { - const data = JSON.parse(line) as { - status?: string; - completed?: number; - total?: number; - error?: string; - }; - - if (data.error) { - onProgress?.({ - model: modelName, - status: 'error', - percent: 0, - error: data.error, - }); - throw new Error(`Ollama pull error: ${data.error}`); - } - - const status = data.status || ''; - if (status === 'success') { - onProgress?.({ model: modelName, status: 'complete', percent: 100 }); - logger.info(`[Ollama] Model pulled successfully: ${modelName}`); - // 刷新缓存 - _cachedStatus = null; - return; - } - - // 下载进度 - if (data.total && data.completed != null) { - const percent = Math.round((data.completed / data.total) * 100); - onProgress?.({ - model: modelName, - status: 'downloading', - percent, - completedBytes: data.completed, - totalBytes: data.total, - }); - } else if (status.includes('verif')) { - onProgress?.({ model: modelName, status: 'verifying', percent: 99 }); - } - } catch (e) { - if (e instanceof Error && e.message.startsWith('Ollama pull error')) throw e; - // JSON 解析失败，跳过该行 - } - } - } - - // 流结束但未收到 success - onProgress?.({ model: modelName, status: 'complete', percent: 100 }); +/** + * Ollama 本地推理 — 服务检测与模型管理 + * + * 职责： + * - 检测 Ollama 可执行文件是否存在 + * - 检测 Ollama 服务是否正在运行 + * - 获取已拉取模型列表 + * - 触发模型拉取（流式进度） + * - 健康缓存（30s TTL） + * + * @ai-context: Ollama 检测与状态服务：安装路径探测（Win/mac/Linux 三平台）+ /api/tags 服务探测 + 30s 状态缓存；未安装时全部静默失败（零打扰原则）。2026-07 拆分：模型管理在 ollamaModelManager.ts。 + */ + +import { existsSync } from 'fs'; +import * as path from 'path'; +import { logger } from '../../logger.js'; +import { getOllamaConfig } from './config.js'; + +// ================================================================ +// 类型定义 +// ================================================================ + +/** Ollama 安装与运行状态 */ +export interface OllamaStatus { + installed: boolean; + running: boolean; + models: string[]; + version?: string; + lastChecked: number; +} + +/** 模型拉取进度回调 */ +export interface PullProgressData { + model: string; + status: 'downloading' | 'verifying' | 'complete' | 'error'; + percent: number; + completedBytes?: number; + totalBytes?: number; + error?: string; +} + +// ================================================================ +// 常量 +// ================================================================ + +/** 健康缓存 TTL（ms） */ +const HEALTH_CACHE_TTL = 30_000; + +/** 检测请求超时（ms） */ +const DETECT_TIMEOUT = 3_000; + +// ================================================================ +// 运行时状态 +// ================================================================ + +let _cachedStatus: OllamaStatus | null = null; + +// ================================================================ +// 安装检测 +// ================================================================ + +/** 获取当前平台 Ollama 可执行文件的可能路径 */ +function getOllamaBinaryPaths(): string[] { + const home = process.env.USERPROFILE || process.env.HOME || ''; + const localAppData = process.env.LOCALAPPDATA || path.join(home, 'AppData', 'Local'); + + switch (process.platform) { + case 'win32': + return [ + path.join(localAppData, 'Programs', 'Ollama', 'ollama.exe'), + path.join(localAppData, 'Ollama', 'ollama.exe'), + 'C:\\Program Files\\Ollama\\ollama.exe', + ]; + case 'darwin': + return [ + '/usr/local/bin/ollama', + '/opt/homebrew/bin/ollama', + path.join(home, '.ollama', 'bin', 'ollama'), + ]; + case 'linux': + return [ + '/usr/bin/ollama', + '/usr/local/bin/ollama', + path.join(home, '.ollama', 'bin', 'ollama'), + ]; + default: + return []; + } +} + +/** 检测 Ollama 是否已安装 */ +export function isOllamaInstalled(): boolean { + const paths = getOllamaBinaryPaths(); + return paths.some((p) => existsSync(p)); +} + +// ================================================================ +// 服务检测 +// ================================================================ + +/** + * 检测 Ollama 服务是否正在运行，并获取模型列表 + * 使用 /api/tags 端点（GET），超时 3s + */ +async function detectOllamaService(): Promise<{ running: boolean; models: string[]; version?: string }> { + const config = getOllamaConfig(); + const baseUrl = config.baseUrl; + + try { + const controller = new AbortController(); + const timeoutId = setTimeout(() => controller.abort(), DETECT_TIMEOUT); + + const resp = await fetch(`${baseUrl}/api/tags`, { + method: 'GET', + signal: controller.signal, + }); + clearTimeout(timeoutId); + + if (!resp.ok) { + return { running: false, models: [] }; + } + + const data = await resp.json() as { models?: Array<{ name: string }> }; + const models = (data.models || []).map((m) => m.name); + + // 尝试获取版本号（/api/version 端点） + let version: string | undefined; + try { + const vController = new AbortController(); + const vTimeoutId = setTimeout(() => vController.abort(), 2000); + const vResp = await fetch(`${baseUrl}/api/version`, { signal: vController.signal }); + clearTimeout(vTimeoutId); + if (vResp.ok) { + const vData = await vResp.json() as { version?: string }; + version = vData.version; + } + } catch { + // 版本获取失败不影响主流程 + } + + return { running: true, models, version }; + } catch { + return { running: false, models: [] }; + } +} + +// ================================================================ +// 公共 API +// ================================================================ + +/** + * 获取 Ollama 完整状态（带缓存） + * 缓存 30s，避免频繁探测 + */ +export async function getOllamaStatus(forceRefresh = false): Promise { + // 检查缓存是否有效 + if (!forceRefresh && _cachedStatus && (Date.now() - _cachedStatus.lastChecked < HEALTH_CACHE_TTL)) { + return _cachedStatus; + } + + const installed = isOllamaInstalled(); + let running = false; + let models: string[] = []; + let version: string | undefined; + + if (installed) { + const result = await detectOllamaService(); + running = result.running; + models = result.models; + version = result.version; + } + + _cachedStatus = { + installed, + running, + models, + version, + lastChecked: Date.now(), + }; + + logger.debug(`[Ollama] Status: installed=${installed}, running=${running}, models=[${models.join(', ')}], version=${version ?? 'unknown'}`); + return _cachedStatus; +} + +/** + * 快速判断 Ollama 是否可用（已启用 + 正在运行） + * 用于 AI Handler 降级链判断，不触发网络请求（使用缓存） + */ +/** 使状态缓存失效（模型增删后由 ollamaModelManager 调用） */ +export function invalidateStatusCache(): void { _cachedStatus = null; } -/** - * 删除本地模型 - * @param modelName 模型名称（如 'qwen2.5:7b'） - */ -export async function deleteModel(modelName: string): Promise { - const config = getOllamaConfig(); - const baseUrl = config.baseUrl; - - logger.info(`[Ollama] Deleting model: ${modelName}`); - - const controller = new AbortController(); - const timeoutId = setTimeout(() => controller.abort(), 30_000); - - try { - const resp = await fetch(`${baseUrl}/api/delete`, { - method: 'DELETE', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ name: modelName }), - signal: controller.signal, - }); - clearTimeout(timeoutId); - - if (!resp.ok) { - const detail = await resp.text().catch(() => 'unknown error'); - throw new Error(`Ollama delete failed: HTTP ${resp.status} - ${detail}`); - } - - logger.info(`[Ollama] Model deleted successfully: ${modelName}`); - // 清除缓存，下次获取状态时刷新模型列表 - _cachedStatus = null; - } catch (e) { - clearTimeout(timeoutId); - if (e instanceof Error && e.name === 'AbortError') { - throw new Error('Ollama delete timed out'); - } - throw e; - } -} - -/** - * 应用启动时执行初始检测（如果 autoDetect 开启） - */ -export async function initOllamaDetection(): Promise { - const config = getOllamaConfig(); - if (!config.autoDetect) { - logger.info('[Ollama] Auto-detect disabled, skipping initial detection'); - return; - } - - // 异步检测，不阻塞启动 - getOllamaStatus(true).then((status) => { - if (status.installed && status.running) { - logger.info(`[Ollama] Detected running Ollama v${status.version ?? '?'} with ${status.models.length} model(s)`); - } else if (status.installed) { - logger.info('[Ollama] Ollama installed but not running'); - } - }).catch(() => { - // 静默失败 - }); -} +export function isOllamaAvailable(): boolean { + if (!_cachedStatus) return false; + // 缓存过期则视为不可用（下次 getOllamaStatus 会刷新） + if (Date.now() - _cachedStatus.lastChecked > HEALTH_CACHE_TTL) return false; + return _cachedStatus.running; +} + +/** + * 应用启动时执行初始检测（如果 autoDetect 开启） + */ +export async function initOllamaDetection(): Promise { + const config = getOllamaConfig(); + if (!config.autoDetect) { + logger.info('[Ollama] Auto-detect disabled, skipping initial detection'); + return; + } + + // 异步检测，不阻塞启动 + getOllamaStatus(true).then((status) => { + if (status.installed && status.running) { + logger.info(`[Ollama] Detected running Ollama v${status.version ?? '?'} with ${status.models.length} model(s)`); + } else if (status.installed) { + logger.info('[Ollama] Ollama installed but not running'); + } + }).catch(() => { + // 静默失败 + }); +} + +// ─── 向后兼容 re-export（模型管理已拆至 ollamaModelManager.ts） ─── +export { pullModel, deleteModel } from './ollamaModelManager.js'; diff --git a/client/electron/ai/ollama/config.ts b/client/electron/ai/ollama/config.ts index 29028333..2711cd7a 100644 --- a/client/electron/ai/ollama/config.ts +++ b/client/electron/ai/ollama/config.ts @@ -1,152 +1,154 @@ -/** - * Ollama 本地推理 — 配置持久化模块 - * - * 配置文件统一存放于 userData/ollama-config.json， - * 与现有 ai-gateway-config.json、storage-config.json 同级。 - */ - -import { app } from 'electron'; -import * as path from 'path'; -import { readFile, writeFile } from 'fs/promises'; -import { logger } from '../../logger.js'; - -// ================================================================ -// 类型定义 -// ================================================================ - -/** 模型映射配置 */ -export interface OllamaModelMapping { - /** 通用文本模型 */ - text: string; - /** 多模态视觉模型 */ - vision: string; -} - -/** Ollama 本地推理用户配置 */ -export interface OllamaConfig { - /** 用户是否启用本地推理 */ - enabled: boolean; - /** Ollama 服务地址 */ - baseUrl: string; - /** 模型映射 */ - models: OllamaModelMapping; - /** 是否启动时自动检测 Ollama */ - autoDetect: boolean; - /** 模型下载镜像地址（国内加速），空字符串表示使用默认 */ - registryMirror: string; -} - -// ================================================================ -// 常量 -// ================================================================ - -const CONFIG_FILE_NAME = 'ollama-config.json'; - -/** 默认配置 */ -const DEFAULT_CONFIG: OllamaConfig = { - enabled: false, - baseUrl: 'http://localhost:11434', - models: { - text: 'qwen2.5:7b', - vision: 'qwen2.5vl:7b', - }, - autoDetect: true, - registryMirror: '', -}; - -// ================================================================ -// 运行时状态 -// ================================================================ - -let _config: OllamaConfig | null = null; - -// ================================================================ -// 公共 API -// ================================================================ - -/** 获取配置文件完整路径 */ -export function getConfigPath(): string { - return path.join(app.getPath('userData'), CONFIG_FILE_NAME); -} - -/** - * 获取当前 Ollama 配置 - * 首次调用时从文件加载，后续直接返回内存缓存 - */ -export function getOllamaConfig(): OllamaConfig { - if (_config) return { ..._config }; - return { ...DEFAULT_CONFIG }; -} - -/** - * 应用启动时从持久化文件加载配置 - * 在 registerOllamaHandlers 之前调用 - */ -export async function loadOllamaConfig(): Promise { - try { - const configPath = getConfigPath(); - const raw = await readFile(configPath, 'utf-8'); - const parsed = JSON.parse(raw); - _config = { - enabled: typeof parsed.enabled === 'boolean' ? parsed.enabled : DEFAULT_CONFIG.enabled, - baseUrl: typeof parsed.baseUrl === 'string' && parsed.baseUrl.trim() - ? parsed.baseUrl.trim().replace(/\/$/, '') - : DEFAULT_CONFIG.baseUrl, - models: { - text: parsed.models?.text || DEFAULT_CONFIG.models.text, - vision: parsed.models?.vision || DEFAULT_CONFIG.models.vision, - }, - autoDetect: typeof parsed.autoDetect === 'boolean' ? parsed.autoDetect : DEFAULT_CONFIG.autoDetect, - registryMirror: typeof parsed.registryMirror === 'string' ? parsed.registryMirror.trim() : DEFAULT_CONFIG.registryMirror, - }; - logger.info(`[Ollama] Config loaded: enabled=${_config.enabled}, baseUrl=${_config.baseUrl}, text=${_config.models.text}, vision=${_config.models.vision}`); - } catch { - // 文件不存在或解析失败，使用默认配置 - _config = { ...DEFAULT_CONFIG }; - logger.info('[Ollama] No persisted config found, using defaults'); - } -} - -/** - * 更新 Ollama 配置并持久化 - * 支持部分更新（merge 语义） - */ -export async function updateOllamaConfig(partial: Partial): Promise { - const current = getOllamaConfig(); - const updated: OllamaConfig = { - enabled: partial.enabled ?? current.enabled, - baseUrl: partial.baseUrl - ? partial.baseUrl.trim().replace(/\/$/, '') - : current.baseUrl, - models: { - text: partial.models?.text ?? current.models.text, - vision: partial.models?.vision ?? current.models.vision, - }, - autoDetect: partial.autoDetect ?? current.autoDetect, - registryMirror: partial.registryMirror !== undefined - ? partial.registryMirror.trim() - : current.registryMirror, - }; - - _config = updated; - - // 持久化到文件 - try { - const configPath = getConfigPath(); - await writeFile(configPath, JSON.stringify(updated, null, 2), 'utf-8'); - logger.info(`[Ollama] Config saved: enabled=${updated.enabled}, baseUrl=${updated.baseUrl}`); - } catch (err) { - logger.error('[Ollama] Failed to persist config', err); - } - - return { ...updated }; -} - -/** - * 判断本地推理是否可用（enabled + 配置有效） - * 注意：此函数不检测 Ollama 是否实际运行，仅检查配置开关 - */ -export function isLocalInferenceEnabled(): boolean { - const config = getOllamaConfig(); - return config.enabled; -} +/** + * Ollama 本地推理 — 配置持久化模块 + * + * 配置文件统一存放于 userData/ollama-config.json， + * 与现有 ai-gateway-config.json、storage-config.json 同级。 + * + * @ai-context: Ollama 配置持久化（userData/ollama-config.json 路径不可改）：baseUrl/enabled/autoDetect/镜像地址；渲染进程经 IPC 读写。 + */ + +import { app } from 'electron'; +import * as path from 'path'; +import { readFile, writeFile } from 'fs/promises'; +import { logger } from '../../logger.js'; + +// ================================================================ +// 类型定义 +// ================================================================ + +/** 模型映射配置 */ +export interface OllamaModelMapping { + /** 通用文本模型 */ + text: string; + /** 多模态视觉模型 */ + vision: string; +} + +/** Ollama 本地推理用户配置 */ +export interface OllamaConfig { + /** 用户是否启用本地推理 */ + enabled: boolean; + /** Ollama 服务地址 */ + baseUrl: string; + /** 模型映射 */ + models: OllamaModelMapping; + /** 是否启动时自动检测 Ollama */ + autoDetect: boolean; + /** 模型下载镜像地址（国内加速），空字符串表示使用默认 */ + registryMirror: string; +} + +// ================================================================ +// 常量 +// ================================================================ + +const CONFIG_FILE_NAME = 'ollama-config.json'; + +/** 默认配置 */ +const DEFAULT_CONFIG: OllamaConfig = { + enabled: false, + baseUrl: 'http://localhost:11434', + models: { + text: 'qwen2.5:7b', + vision: 'qwen2.5vl:7b', + }, + autoDetect: true, + registryMirror: '', +}; + +// ================================================================ +// 运行时状态 +// ================================================================ + +let _config: OllamaConfig | null = null; + +// ================================================================ +// 公共 API +// ================================================================ + +/** 获取配置文件完整路径 */ +export function getConfigPath(): string { + return path.join(app.getPath('userData'), CONFIG_FILE_NAME); +} + +/** + * 获取当前 Ollama 配置 + * 首次调用时从文件加载，后续直接返回内存缓存 + */ +export function getOllamaConfig(): OllamaConfig { + if (_config) return { ..._config }; + return { ...DEFAULT_CONFIG }; +} + +/** + * 应用启动时从持久化文件加载配置 + * 在 registerOllamaHandlers 之前调用 + */ +export async function loadOllamaConfig(): Promise { + try { + const configPath = getConfigPath(); + const raw = await readFile(configPath, 'utf-8'); + const parsed = JSON.parse(raw); + _config = { + enabled: typeof parsed.enabled === 'boolean' ? parsed.enabled : DEFAULT_CONFIG.enabled, + baseUrl: typeof parsed.baseUrl === 'string' && parsed.baseUrl.trim() + ? parsed.baseUrl.trim().replace(/\/$/, '') + : DEFAULT_CONFIG.baseUrl, + models: { + text: parsed.models?.text || DEFAULT_CONFIG.models.text, + vision: parsed.models?.vision || DEFAULT_CONFIG.models.vision, + }, + autoDetect: typeof parsed.autoDetect === 'boolean' ? parsed.autoDetect : DEFAULT_CONFIG.autoDetect, + registryMirror: typeof parsed.registryMirror === 'string' ? parsed.registryMirror.trim() : DEFAULT_CONFIG.registryMirror, + }; + logger.info(`[Ollama] Config loaded: enabled=${_config.enabled}, baseUrl=${_config.baseUrl}, text=${_config.models.text}, vision=${_config.models.vision}`); + } catch { + // 文件不存在或解析失败，使用默认配置 + _config = { ...DEFAULT_CONFIG }; + logger.info('[Ollama] No persisted config found, using defaults'); + } +} + +/** + * 更新 Ollama 配置并持久化 + * 支持部分更新（merge 语义） + */ +export async function updateOllamaConfig(partial: Partial): Promise { + const current = getOllamaConfig(); + const updated: OllamaConfig = { + enabled: partial.enabled ?? current.enabled, + baseUrl: partial.baseUrl + ? partial.baseUrl.trim().replace(/\/$/, '') + : current.baseUrl, + models: { + text: partial.models?.text ?? current.models.text, + vision: partial.models?.vision ?? current.models.vision, + }, + autoDetect: partial.autoDetect ?? current.autoDetect, + registryMirror: partial.registryMirror !== undefined + ? partial.registryMirror.trim() + : current.registryMirror, + }; + + _config = updated; + + // 持久化到文件 + try { + const configPath = getConfigPath(); + await writeFile(configPath, JSON.stringify(updated, null, 2), 'utf-8'); + logger.info(`[Ollama] Config saved: enabled=${updated.enabled}, baseUrl=${updated.baseUrl}`); + } catch (err) { + logger.error('[Ollama] Failed to persist config', err); + } + + return { ...updated }; +} + +/** + * 判断本地推理是否可用（enabled + 配置有效） + * 注意：此函数不检测 Ollama 是否实际运行，仅检查配置开关 + */ +export function isLocalInferenceEnabled(): boolean { + const config = getOllamaConfig(); + return config.enabled; +} diff --git a/client/electron/ai/ollama/index.ts b/client/electron/ai/ollama/index.ts index ef1143a4..1c7326d8 100644 --- a/client/electron/ai/ollama/index.ts +++ b/client/electron/ai/ollama/index.ts @@ -1,122 +1,124 @@ -/** - * Ollama 本地推理 — IPC Handler 注册入口 - * - * 注册 Ollama 相关 IPC channel： - * - ollama:get-status → 返回 OllamaStatus - * - ollama:set-config → 更新配置 - * - ollama:pull-model → 触发模型下载（流式进度推送） - */ - -import { ipcMain, BrowserWindow } from 'electron'; -import { logger } from '../../logger.js'; -import { getOllamaStatus, pullModel, deleteModel, initOllamaDetection } from './OllamaService.js'; -import { loadOllamaConfig, updateOllamaConfig, getOllamaConfig } from './config.js'; - -// ================================================================ -// IPC Handler 注册 -// ================================================================ - -/** - * 注册所有 Ollama 相关 IPC Handler - * 在 registerAIHandlers() 中调用 - */ -export function registerOllamaHandlers(): void { - logger.info('[Ollama] Registering IPC handlers...'); - - // ---- 获取状态 ---- - ipcMain.handle('ollama:get-status', async (_event, forceRefresh?: boolean) => { - try { - const status = await getOllamaStatus(forceRefresh ?? false); - const config = getOllamaConfig(); - return { status, config }; - } catch (err) { - logger.error('[Ollama] get-status failed:', err); - return { - status: { installed: false, running: false, models: [], lastChecked: Date.now() }, - config: getOllamaConfig(), - }; - } - }); - - // ---- 更新配置 ---- - ipcMain.handle('ollama:set-config', async (_event, partial: Record) => { - try { - const updated = await updateOllamaConfig(partial); - logger.info(`[Ollama] Config updated via IPC: enabled=${updated.enabled}`); - return updated; - } catch (err) { - logger.error('[Ollama] set-config failed:', err); - throw err; - } - }); - - // ---- 拉取模型 ---- - ipcMain.handle('ollama:pull-model', async (event, modelName: string) => { - if (!modelName || typeof modelName !== 'string') { - throw new Error('Invalid model name'); - } - - logger.info(`[Ollama] Pull model requested: ${modelName}`); - - // 获取发送进度的窗口 - const senderWindow = BrowserWindow.fromWebContents(event.sender); - - try { - await pullModel(modelName, (progress) => { - // 向渲染进程推送进度 - if (senderWindow && !senderWindow.isDestroyed()) { - senderWindow.webContents.send('ollama:pull-progress', progress); - } - }); - return { success: true }; - } catch (err) { - const errorMsg = err instanceof Error ? err.message : String(err); - logger.error(`[Ollama] Pull model failed: ${errorMsg}`); - // 推送错误进度 - if (senderWindow && !senderWindow.isDestroyed()) { - senderWindow.webContents.send('ollama:pull-progress', { - model: modelName, - status: 'error', - percent: 0, - error: errorMsg, - }); - } - throw err; - } - }); - - // ---- 删除模型 ---- - ipcMain.handle('ollama:delete-model', async (_event, modelName: string) => { - if (!modelName || typeof modelName !== 'string') { - throw new Error('Invalid model name'); - } - - logger.info(`[Ollama] Delete model requested: ${modelName}`); - - try { - await deleteModel(modelName); - return { success: true }; - } catch (err) { - const errorMsg = err instanceof Error ? err.message : String(err); - logger.error(`[Ollama] Delete model failed: ${errorMsg}`); - throw err; - } - }); - - logger.info('[Ollama] All IPC handlers registered'); -} - -/** - * 初始化 Ollama 模块 - * 在应用启动时调用（registerAIHandlers 之前） - */ -export async function initOllama(): Promise { - await loadOllamaConfig(); - await initOllamaDetection(); -} - -// 统一导出 -export { getOllamaStatus, pullModel, deleteModel } from './OllamaService.js'; -export { getOllamaConfig, updateOllamaConfig, isLocalInferenceEnabled } from './config.js'; -export { generateText, generateVision, generateVisionMulti } from './OllamaProvider.js'; -export { isOllamaAvailable } from './OllamaService.js'; +/** + * Ollama 本地推理 — IPC Handler 注册入口 + * + * 注册 Ollama 相关 IPC channel： + * - ollama:get-status → 返回 OllamaStatus + * - ollama:set-config → 更新配置 + * - ollama:pull-model → 触发模型下载（流式进度推送） + * + * @ai-context: Ollama 模块 IPC 注册出口（状态/配置/模型管理通道）。 + */ + +import { ipcMain, BrowserWindow } from 'electron'; +import { logger } from '../../logger.js'; +import { getOllamaStatus, pullModel, deleteModel, initOllamaDetection } from './OllamaService.js'; +import { loadOllamaConfig, updateOllamaConfig, getOllamaConfig } from './config.js'; + +// ================================================================ +// IPC Handler 注册 +// ================================================================ + +/** + * 注册所有 Ollama 相关 IPC Handler + * 在 registerAIHandlers() 中调用 + */ +export function registerOllamaHandlers(): void { + logger.info('[Ollama] Registering IPC handlers...'); + + // ---- 获取状态 ---- + ipcMain.handle('ollama:get-status', async (_event, forceRefresh?: boolean) => { + try { + const status = await getOllamaStatus(forceRefresh ?? false); + const config = getOllamaConfig(); + return { status, config }; + } catch (err) { + logger.error('[Ollama] get-status failed:', err); + return { + status: { installed: false, running: false, models: [], lastChecked: Date.now() }, + config: getOllamaConfig(), + }; + } + }); + + // ---- 更新配置 ---- + ipcMain.handle('ollama:set-config', async (_event, partial: Record) => { + try { + const updated = await updateOllamaConfig(partial); + logger.info(`[Ollama] Config updated via IPC: enabled=${updated.enabled}`); + return updated; + } catch (err) { + logger.error('[Ollama] set-config failed:', err); + throw err; + } + }); + + // ---- 拉取模型 ---- + ipcMain.handle('ollama:pull-model', async (event, modelName: string) => { + if (!modelName || typeof modelName !== 'string') { + throw new Error('Invalid model name'); + } + + logger.info(`[Ollama] Pull model requested: ${modelName}`); + + // 获取发送进度的窗口 + const senderWindow = BrowserWindow.fromWebContents(event.sender); + + try { + await pullModel(modelName, (progress) => { + // 向渲染进程推送进度 + if (senderWindow && !senderWindow.isDestroyed()) { + senderWindow.webContents.send('ollama:pull-progress', progress); + } + }); + return { success: true }; + } catch (err) { + const errorMsg = err instanceof Error ? err.message : String(err); + logger.error(`[Ollama] Pull model failed: ${errorMsg}`); + // 推送错误进度 + if (senderWindow && !senderWindow.isDestroyed()) { + senderWindow.webContents.send('ollama:pull-progress', { + model: modelName, + status: 'error', + percent: 0, + error: errorMsg, + }); + } + throw err; + } + }); + + // ---- 删除模型 ---- + ipcMain.handle('ollama:delete-model', async (_event, modelName: string) => { + if (!modelName || typeof modelName !== 'string') { + throw new Error('Invalid model name'); + } + + logger.info(`[Ollama] Delete model requested: ${modelName}`); + + try { + await deleteModel(modelName); + return { success: true }; + } catch (err) { + const errorMsg = err instanceof Error ? err.message : String(err); + logger.error(`[Ollama] Delete model failed: ${errorMsg}`); + throw err; + } + }); + + logger.info('[Ollama] All IPC handlers registered'); +} + +/** + * 初始化 Ollama 模块 + * 在应用启动时调用（registerAIHandlers 之前） + */ +export async function initOllama(): Promise { + await loadOllamaConfig(); + await initOllamaDetection(); +} + +// 统一导出 +export { getOllamaStatus, pullModel, deleteModel } from './OllamaService.js'; +export { getOllamaConfig, updateOllamaConfig, isLocalInferenceEnabled } from './config.js'; +export { generateText, generateVision, generateVisionMulti } from './OllamaProvider.js'; +export { isOllamaAvailable } from './OllamaService.js'; diff --git a/client/electron/ai/ollama/ollamaModelManager.ts b/client/electron/ai/ollama/ollamaModelManager.ts new file mode 100644 index 00000000..970ea206 --- /dev/null +++ b/client/electron/ai/ollama/ollamaModelManager.ts @@ -0,0 +1,148 @@ +/** + * Ollama 模型管理（拉取/删除） + * + * @ai-context: 从 OllamaService.ts 拆出。pullModel 流式读取 /api/pull + * 的 NDJSON 进度（downloading→verifying→complete），progress 回调供 + * IPC 转发到渲染进程进度条；操作成功后必须 invalidateStatusCache() + * 使状态缓存失效，否则模型列表不刷新。 + * @ai-context: 模型下载走用户配置的 baseUrl（含国内镜像支持，见 + * ollama/config.ts）；deleteModel 30s 超时。 + */ +import { logger } from '../../logger.js'; +import { getOllamaConfig } from './config.js'; +import { invalidateStatusCache, type PullProgressData } from './OllamaService.js'; + +/** + * 拉取模型（流式进度） + * @param modelName 模型名称（如 'qwen2.5:7b'） + * @param onProgress 进度回调 + */ +export async function pullModel( + modelName: string, + onProgress?: (progress: PullProgressData) => void, +): Promise { + const config = getOllamaConfig(); + const baseUrl = config.baseUrl; + + logger.info(`[Ollama] Pulling model: ${modelName}`); + + const resp = await fetch(`${baseUrl}/api/pull`, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ name: modelName, stream: true }), + }); + + if (!resp.ok) { + const detail = await resp.text().catch(() => 'unknown error'); + throw new Error(`Ollama pull failed: HTTP ${resp.status} - ${detail}`); + } + + if (!resp.body) { + throw new Error('Ollama pull: no response body'); + } + + // 流式读取 NDJSON 进度 + const reader = resp.body.getReader(); + const decoder = new TextDecoder(); + let buffer = ''; + + while (true) { + const { done, value } = await reader.read(); + if (done) break; + + buffer += decoder.decode(value, { stream: true }); + const lines = buffer.split('\n'); + buffer = lines.pop() || ''; + + for (const line of lines) { + if (!line.trim()) continue; + try { + const data = JSON.parse(line) as { + status?: string; + completed?: number; + total?: number; + error?: string; + }; + + if (data.error) { + onProgress?.({ + model: modelName, + status: 'error', + percent: 0, + error: data.error, + }); + throw new Error(`Ollama pull error: ${data.error}`); + } + + const status = data.status || ''; + if (status === 'success') { + onProgress?.({ model: modelName, status: 'complete', percent: 100 }); + logger.info(`[Ollama] Model pulled successfully: ${modelName}`); + // 刷新缓存 + invalidateStatusCache(); + return; + } + + // 下载进度 + if (data.total && data.completed != null) { + const percent = Math.round((data.completed / data.total) * 100); + onProgress?.({ + model: modelName, + status: 'downloading', + percent, + completedBytes: data.completed, + totalBytes: data.total, + }); + } else if (status.includes('verif')) { + onProgress?.({ model: modelName, status: 'verifying', percent: 99 }); + } + } catch (e) { + if (e instanceof Error && e.message.startsWith('Ollama pull error')) throw e; + // JSON 解析失败，跳过该行 + } + } + } + + // 流结束但未收到 success + onProgress?.({ model: modelName, status: 'complete', percent: 100 }); + invalidateStatusCache(); +} + +/** + * 删除本地模型 + * @param modelName 模型名称（如 'qwen2.5:7b'） + */ +export async function deleteModel(modelName: string): Promise { + const config = getOllamaConfig(); + const baseUrl = config.baseUrl; + + logger.info(`[Ollama] Deleting model: ${modelName}`); + + const controller = new AbortController(); + const timeoutId = setTimeout(() => controller.abort(), 30_000); + + try { + const resp = await fetch(`${baseUrl}/api/delete`, { + method: 'DELETE', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ name: modelName }), + signal: controller.signal, + }); + clearTimeout(timeoutId); + + if (!resp.ok) { + const detail = await resp.text().catch(() => 'unknown error'); + throw new Error(`Ollama delete failed: HTTP ${resp.status} - ${detail}`); + } + + logger.info(`[Ollama] Model deleted successfully: ${modelName}`); + // 清除缓存，下次获取状态时刷新模型列表 + invalidateStatusCache(); + } catch (e) { + clearTimeout(timeoutId); + if (e instanceof Error && e.name === 'AbortError') { + throw new Error('Ollama delete timed out'); + } + throw e; + } +} diff --git a/client/electron/ai/streamHandler.ts b/client/electron/ai/streamHandler.ts index 7002c364..d1f6a933 100644 --- a/client/electron/ai/streamHandler.ts +++ b/client/electron/ai/streamHandler.ts @@ -1,152 +1,154 @@ -/** - * AI 流式输出 IPC Handler - * - * 处理 ai:stream:start IPC 请求，通过 postJsonStream() 获取 SSE 流， - * 将 chunk 以 50ms 节流推送到渲染进程。 - * - * 通信协议： - * - 渲染进程 → 主进程：ipcRenderer.invoke('ai:stream:start', { requestId, method, payload }) - * - 主进程 → 渲染进程： - * - 'ai:stream:chunk' { requestId, chunk } - * - 'ai:stream:end' { requestId } - * - 'ai:stream:error' { requestId, error } - */ - -import { safeHandle } from '../ipcUtils.js'; -import { logger } from '../logger.js'; -import { postJsonStream } from './utils.js'; - -// ================================================================ -// 节流配置 -// ================================================================ - -/** IPC chunk 推送节流间隔（ms），防止高频 chunk 风暴 */ -const CHUNK_THROTTLE_MS = 50; - -/** 活跃的流式请求 AbortController 映射（requestId → controller） */ -const activeStreams = new Map(); - -// ================================================================ -// IPC Handler 注册 -// ================================================================ - -/** - * 注册 ai:stream:start handler - * - * 渲染进程通过 invoke 发起流式请求，主进程逐 chunk 推送到渲染进程。 - * 使用 50ms 节流合并高频 chunk，防止 IPC 风暴。 - */ -export function registerStreamHandler(): void { - safeHandle( - 'ai:stream:start', - async ( - event, - args: { - requestId: string; - /** API 路径，如 /api/v1/ai/summarize/stream */ - method: string; - /** 请求体 */ - payload: Record; - /** 认证 token */ - authToken?: string; - /** 用户 API Key */ - userApiKey?: string; - }, - ) => { - const { requestId, method, payload, authToken, userApiKey } = args; - const sender = event.sender; - - logger.info(`[AI] [stream] Start: requestId=${requestId}, method=${method}`); - - // 为该流式请求创建 AbortController - const abortController = new AbortController(); - activeStreams.set(requestId, abortController); - - // 50ms 节流缓冲 - let chunkBuffer = ''; - let throttleTimer: ReturnType | null = null; - let cancelled = false; - - /** 将缓冲区内的 chunk 一次性推送到渲染进程 */ - function flushChunks(): void { - if (cancelled || !chunkBuffer) return; - if (sender.isDestroyed()) return; - sender.send('ai:stream:chunk', { requestId, chunk: chunkBuffer }); - chunkBuffer = ''; - throttleTimer = null; - } - - try { - const stream = postJsonStream( - method, - payload, - authToken, - userApiKey, - ); - - for await (const chunk of stream) { - if (cancelled || abortController.signal.aborted) { - cancelled = true; - break; - } - - chunkBuffer += chunk; - - // 启动节流定时器（仅在无定时器运行时） - if (!throttleTimer) { - throttleTimer = setTimeout(flushChunks, CHUNK_THROTTLE_MS); - } - } - - // 流结束：刷出剩余缓冲 - if (throttleTimer) { - clearTimeout(throttleTimer); - throttleTimer = null; - } - flushChunks(); - - // 推送结束信号 - if (!cancelled && !sender.isDestroyed()) { - sender.send('ai:stream:end', { requestId }); - } - - logger.info(`[AI] [stream] Complete: requestId=${requestId}`); - return { ok: true, requestId }; - } catch (err) { - // 流异常：刷出剩余缓冲，推送错误信号 - if (throttleTimer) { - clearTimeout(throttleTimer); - throttleTimer = null; - } - flushChunks(); - - const errorMessage = err instanceof Error ? err.message : String(err); - logger.error(`[AI] [stream] Error: requestId=${requestId}, error=${errorMessage}`); - - if (!cancelled && !sender.isDestroyed()) { - sender.send('ai:stream:error', { requestId, error: errorMessage }); - } - - return { ok: false, requestId, error: errorMessage }; - } finally { - activeStreams.delete(requestId); - } - }, - ); - - // 注册取消流式请求的 handler - safeHandle( - 'ai:stream:cancel', - async (_event, args: { requestId: string }) => { - const { requestId } = args; - logger.info(`[AI] [stream] Cancel requested: requestId=${requestId}`); - const controller = activeStreams.get(requestId); - if (controller) { - controller.abort(); - activeStreams.delete(requestId); - logger.info(`[AI] [stream] Cancelled: requestId=${requestId}`); - } - return { ok: true }; - }, - ); -} +/** + * AI 流式输出 IPC Handler + * + * 处理 ai:stream:start IPC 请求，通过 postJsonStream() 获取 SSE 流， + * 将 chunk 以 50ms 节流推送到渲染进程。 + * + * 通信协议： + * - 渲染进程 → 主进程：ipcRenderer.invoke('ai:stream:start', { requestId, method, payload }) + * - 主进程 → 渲染进程： + * - 'ai:stream:chunk' { requestId, chunk } + * - 'ai:stream:end' { requestId } + * - 'ai:stream:error' { requestId, error } + * + * @ai-context: AI 流式请求 IPC（ai:stream:start）：postJsonStream 逐 chunk 经 ai:stream:chunk/end/error 事件推回渲染进程，requestId 关联。 + */ + +import { safeHandle } from '../ipcUtils.js'; +import { logger } from '../logger.js'; +import { postJsonStream } from './utils.js'; + +// ================================================================ +// 节流配置 +// ================================================================ + +/** IPC chunk 推送节流间隔（ms），防止高频 chunk 风暴 */ +const CHUNK_THROTTLE_MS = 50; + +/** 活跃的流式请求 AbortController 映射（requestId → controller） */ +const activeStreams = new Map(); + +// ================================================================ +// IPC Handler 注册 +// ================================================================ + +/** + * 注册 ai:stream:start handler + * + * 渲染进程通过 invoke 发起流式请求，主进程逐 chunk 推送到渲染进程。 + * 使用 50ms 节流合并高频 chunk，防止 IPC 风暴。 + */ +export function registerStreamHandler(): void { + safeHandle( + 'ai:stream:start', + async ( + event, + args: { + requestId: string; + /** API 路径，如 /api/v1/ai/summarize/stream */ + method: string; + /** 请求体 */ + payload: Record; + /** 认证 token */ + authToken?: string; + /** 用户 API Key */ + userApiKey?: string; + }, + ) => { + const { requestId, method, payload, authToken, userApiKey } = args; + const sender = event.sender; + + logger.info(`[AI] [stream] Start: requestId=${requestId}, method=${method}`); + + // 为该流式请求创建 AbortController + const abortController = new AbortController(); + activeStreams.set(requestId, abortController); + + // 50ms 节流缓冲 + let chunkBuffer = ''; + let throttleTimer: ReturnType | null = null; + let cancelled = false; + + /** 将缓冲区内的 chunk 一次性推送到渲染进程 */ + function flushChunks(): void { + if (cancelled || !chunkBuffer) return; + if (sender.isDestroyed()) return; + sender.send('ai:stream:chunk', { requestId, chunk: chunkBuffer }); + chunkBuffer = ''; + throttleTimer = null; + } + + try { + const stream = postJsonStream( + method, + payload, + authToken, + userApiKey, + ); + + for await (const chunk of stream) { + if (cancelled || abortController.signal.aborted) { + cancelled = true; + break; + } + + chunkBuffer += chunk; + + // 启动节流定时器（仅在无定时器运行时） + if (!throttleTimer) { + throttleTimer = setTimeout(flushChunks, CHUNK_THROTTLE_MS); + } + } + + // 流结束：刷出剩余缓冲 + if (throttleTimer) { + clearTimeout(throttleTimer); + throttleTimer = null; + } + flushChunks(); + + // 推送结束信号 + if (!cancelled && !sender.isDestroyed()) { + sender.send('ai:stream:end', { requestId }); + } + + logger.info(`[AI] [stream] Complete: requestId=${requestId}`); + return { ok: true, requestId }; + } catch (err) { + // 流异常：刷出剩余缓冲，推送错误信号 + if (throttleTimer) { + clearTimeout(throttleTimer); + throttleTimer = null; + } + flushChunks(); + + const errorMessage = err instanceof Error ? err.message : String(err); + logger.error(`[AI] [stream] Error: requestId=${requestId}, error=${errorMessage}`); + + if (!cancelled && !sender.isDestroyed()) { + sender.send('ai:stream:error', { requestId, error: errorMessage }); + } + + return { ok: false, requestId, error: errorMessage }; + } finally { + activeStreams.delete(requestId); + } + }, + ); + + // 注册取消流式请求的 handler + safeHandle( + 'ai:stream:cancel', + async (_event, args: { requestId: string }) => { + const { requestId } = args; + logger.info(`[AI] [stream] Cancel requested: requestId=${requestId}`); + const controller = activeStreams.get(requestId); + if (controller) { + controller.abort(); + activeStreams.delete(requestId); + logger.info(`[AI] [stream] Cancelled: requestId=${requestId}`); + } + return { ok: true }; + }, + ); +} diff --git a/client/electron/ai/utils.ts b/client/electron/ai/utils.ts index 9b35e88b..a37a245f 100644 --- a/client/electron/ai/utils.ts +++ b/client/electron/ai/utils.ts @@ -1,505 +1,42 @@ -/** - * AI 网关公共工具函数 - * - * 提取自 aiHandlers.ts，包含所有 AI handler 共用的 - * POST 请求辅助函数、网关地址管理和功能注册表接口定义。 - */ - -import { app } from 'electron'; -import * as path from 'path'; -import { randomUUID } from 'crypto'; -import { readFile, writeFile } from 'fs/promises'; -import { logger } from '../logger.js'; -import { isLocalInferenceEnabled } from './ollama/config.js'; -import { isOllamaAvailable } from './ollama/OllamaService.js'; - -// ================================================================ -// 常量 -// ================================================================ - -const DEFAULT_GATEWAY_URL = 'https://entropydecrease.com'; -const GATEWAY_CONFIG_FILE = 'ai-gateway-config.json'; - -// ── 运行时网关地址（渲染进程通过 IPC 同步） ── -let _runtimeGatewayUrl: string | null = null; - -/** 记录 gatewayUrl() 是否已打印过首次解析日志，避免重复输出 */ -let _gatewayFirstResolveLogged = false; - -/** - * 判定当前是否为开发模式 - * 可靠依据：electron:dev 脚本设置 NODE_ENV=development，安装包运行时 app.isPackaged=true - */ -export function isDevMode(): boolean { - return process.env.NODE_ENV === 'development' || !app.isPackaged; -} - -/** - * 获取 AI 网关地址 - * - * 按模式分流优先级： - * - 开发模式：环境变量 > 运行时 IPC > 默认值 - * - 生产模式：运行时 IPC > 持久化文件(已存入_runtimeGatewayUrl) > 环境变量 > 默认值 - */ -export function gatewayUrl(): string { - const url = _resolveGatewayUrl(); - if (!_gatewayFirstResolveLogged) { - _gatewayFirstResolveLogged = true; - const dev = isDevMode(); - const source = dev - ? (process.env.VITE_AI_GATEWAY_URL - ? `env (VITE_AI_GATEWAY_URL=${process.env.VITE_AI_GATEWAY_URL})` - : _runtimeGatewayUrl - ? 'runtime (IPC)' - : 'DEFAULT (hardcoded fallback)') - : (_runtimeGatewayUrl - ? 'runtime (IPC/persisted)' - : process.env.VITE_AI_GATEWAY_URL - ? `env (VITE_AI_GATEWAY_URL=${process.env.VITE_AI_GATEWAY_URL})` - : 'DEFAULT (hardcoded fallback)'); - logger.info(`[AI] Gateway URL resolved: ${url} [source: ${source}, mode: ${dev ? 'dev' : 'prod'}]`); - if (!process.env.VITE_AI_GATEWAY_URL && !_runtimeGatewayUrl) { - logger.warn('[AI] Gateway URL fell back to DEFAULT. Set VITE_AI_GATEWAY_URL in .env or configure via AI settings.'); - } - } - return url; -} - -/** 内部解析逻辑，按模式分流优先级 */ -function _resolveGatewayUrl(): string { - if (isDevMode()) { - // 开发模式：环境变量优先，持久化不覆盖开发配置 - return process.env.VITE_AI_GATEWAY_URL || _runtimeGatewayUrl || DEFAULT_GATEWAY_URL; - } - // 生产模式：运行时/持久化 > 环境变量 > 默认值 - return _runtimeGatewayUrl || process.env.VITE_AI_GATEWAY_URL || DEFAULT_GATEWAY_URL; -} - -/** - * 设置运行时网关地址（由渲染进程通过 IPC 调用） - * 同时持久化到 userData 目录，确保主进程重启后仍可用 - */ -export async function setRuntimeGatewayUrl(url: string): Promise { - _runtimeGatewayUrl = url; - // 重置首次解析日志标记，使下次 gatewayUrl() 重新打印来源 - _gatewayFirstResolveLogged = false; - logger.info(`[AI] Runtime gateway URL set via IPC: ${url}`); - // 开发模式不写入持久化文件，防止调试数据污染生产配置 - if (isDevMode()) { - logger.info('[AI] Dev mode: skip persisting gateway URL to file'); - return; - } - // 持久化到文件 - try { - const configPath = path.join(app.getPath('userData'), GATEWAY_CONFIG_FILE); - await writeFile(configPath, JSON.stringify({ gatewayUrl: url }), 'utf-8'); - } catch (err) { - logger.error('[AI-Gateway] Failed to persist gateway URL', err); - } -} - -/** - * 应用启动时从持久化文件加载网关地址 - * 在 registerAIHandlers 之前调用 - */ -export async function loadPersistedGatewayUrl(): Promise { - if (isDevMode()) { - logger.info('[AI] Dev mode: skip loading persisted gateway URL (using .env config)'); - return; - } - try { - const configPath = path.join(app.getPath('userData'), GATEWAY_CONFIG_FILE); - const raw = await readFile(configPath, 'utf-8'); - const config = JSON.parse(raw); - if (config.gatewayUrl) { - _runtimeGatewayUrl = config.gatewayUrl; - logger.info(`[AI] Loaded persisted gateway URL from file: ${config.gatewayUrl}`); - } - } catch { - // 文件不存在或解析失败，静默忽略 - } -} - -// ================================================================ -// AI 功能注册表接口定义 -// ================================================================ - -/** - * AI 功能定义接口 - * - * 每个 AI handler 文件导出一个符合此接口的对象， - * 由 ai/index.ts 统一收集并注册到 IPC 系统。 - */ -export interface AIFeatureDef { - /** 功能唯一标识符，对应 IPC channel 名称 */ - id: string; - /** 功能显示名称 */ - name: string; - /** 功能版本 */ - version: string; - /** 注册函数，由注册引擎调用 */ - register: () => void; -} - -// ================================================================ -// 通用 POST 请求辅助函数 -// ================================================================ - -/** - * 通用 POST 请求辅助函数： - * 1. 将请求体序列化为 JSON - * 2. 如有 authToken，添加 Authorization header - * 3. HTTP 失败时抛出包含状态码和详情的错误字符串 - * 4. 返回解析后的 JSON 响应 - */ -export async function postJson( - apiPath: string, - body: TReq, - authToken?: string, - userApiKey?: string, - timeoutMs: number = 60000, -): Promise<{ data: TRes; requestId: string | undefined }> { - const base = gatewayUrl(); - if (!base) { - throw new Error('[AI] Gateway URL not configured. Set VITE_AI_GATEWAY_URL in .env or configure via AI settings'); - } - const url = `${base}${apiPath}`; - const startTime = Date.now(); - const clientRequestId = randomUUID(); - - // ── 请求前日志 ── - logger.info(`[AI] → POST ${url} [req-id: ${clientRequestId}]`); - logger.debug(`[AI] Request config: timeout=${timeoutMs}ms, hasAuth=${!!authToken}, hasUserKey=${!!userApiKey}, bodyKeys=${Object.keys(body as Record).join(',')}`); - - const headers: Record = { - 'Content-Type': 'application/json', - 'X-Request-ID': clientRequestId, - }; - if (authToken) { - headers['Authorization'] = `Bearer ${authToken}`; - } - if (userApiKey) { - headers['X-User-API-Key'] = userApiKey; - } - - const controller = new AbortController(); - const timeoutId = setTimeout(() => controller.abort(), timeoutMs); - - let resp: Response; - try { - resp = await fetch(url, { - method: 'POST', - headers, - body: JSON.stringify(body), - signal: controller.signal, - }); - } catch (networkError: unknown) { - const elapsed = Date.now() - startTime; - const err = networkError as { name?: string; message?: string; cause?: unknown }; - if (err.name === 'AbortError') { - logger.error(`[AI] ✖ TIMEOUT ${url} after ${elapsed}ms`); - throw new Error(`Request timeout after ${timeoutMs}ms`); - } - // 详细网络错误诊断 - const cause = err.cause ? String(err.cause) : ''; - const errDetail = err.message || String(networkError); - logger.error(`[AI] ✖ NETWORK_ERROR ${url} after ${elapsed}ms: ${errDetail}${cause ? ` (cause: ${cause})` : ''}`); - // 识别常见网络错误码 - if (/ECONNREFUSED/i.test(errDetail)) { - logger.error('[AI] Hint: Connection refused — check if AI Gateway service is running and the URL is correct'); - } else if (/ENOTFOUND/i.test(errDetail)) { - logger.error('[AI] Hint: DNS resolution failed — check the gateway URL hostname'); - } else if (/ETIMEDOUT/i.test(errDetail)) { - logger.error('[AI] Hint: Connection timed out — check network connectivity and firewall rules'); - } - throw new Error(`Network error: ${errDetail}`); - } finally { - clearTimeout(timeoutId); - } - - const elapsed = Date.now() - startTime; - const requestId = resp.headers.get('ai-gateway-request-id') ?? undefined; - - if (!resp.ok) { - const detail = await resp.text().catch(() => 'unknown error'); - // 截取响应体前 500 字符防止日志爆炸 - const detailPreview = detail.length > 500 ? `${detail.slice(0, 500)}...(+${detail.length - 500} chars)` : detail; - logger.error(`[AI] ✖ HTTP ${resp.status} ${url} (${elapsed}ms) [req-id: ${requestId ?? clientRequestId}]: ${detailPreview}`); - throw new Error(`HTTP ${resp.status}: ${detail}`); - } - - logger.info(`[AI] ← ${resp.status} ${url} (${elapsed}ms)${requestId ? ` [req-id: ${requestId}]` : ''}`); - - try { - const data = (await resp.json()) as TRes; - return { data, requestId }; - } catch (e) { - logger.error(`[AI] Response JSON parse error for ${url}: ${e}`); - throw new Error(`Response parse error: ${e}`); - } -} - -/** - * Multipart POST 请求辅助函数： - * 1. 不设置 Content-Type header（Node.js fetch 自动设置 multipart/form-data; boundary=...） - * 2. body 直接传 FormData（不做 JSON.stringify） - * 3. 默认超时 300000ms（5 分钟，视频文件较大） - * 4. 其余逻辑（gatewayUrl、AbortController、日志、request-id、错误处理）与 postJson 保持一致 - */ -export async function postMultipart( - apiPath: string, - formData: FormData, - authToken?: string, - userApiKey?: string, - timeoutMs: number = 300000, -): Promise<{ data: TRes; requestId: string | undefined }> { - const base = gatewayUrl(); - if (!base) { - throw new Error('[AI] Gateway URL not configured. Set VITE_AI_GATEWAY_URL in .env or configure via AI settings'); - } - const url = `${base}${apiPath}`; - const startTime = Date.now(); - const clientRequestId = randomUUID(); - - // ── 请求前日志 ── - logger.info(`[AI] → POST ${url} [req-id: ${clientRequestId}]`); - logger.debug(`[AI] Request config: timeout=${timeoutMs}ms, hasAuth=${!!authToken}, hasUserKey=${!!userApiKey}, body=FormData`); - - const headers: Record = { - 'X-Request-ID': clientRequestId, - }; - if (authToken) { - headers['Authorization'] = `Bearer ${authToken}`; - } - if (userApiKey) { - headers['X-User-API-Key'] = userApiKey; - } - - const controller = new AbortController(); - const timeoutId = setTimeout(() => controller.abort(), timeoutMs); - - let resp: Response; - try { - resp = await fetch(url, { - method: 'POST', - headers, - body: formData, - signal: controller.signal, - }); - } catch (networkError: unknown) { - const elapsed = Date.now() - startTime; - const err = networkError as { name?: string; message?: string; cause?: unknown }; - if (err.name === 'AbortError') { - logger.error(`[AI] ✖ TIMEOUT ${url} after ${elapsed}ms`); - throw new Error(`Request timeout after ${timeoutMs}ms`); - } - // 详细网络错误诊断 - const cause = err.cause ? String(err.cause) : ''; - const errDetail = err.message || String(networkError); - logger.error(`[AI] ✖ NETWORK_ERROR ${url} after ${elapsed}ms: ${errDetail}${cause ? ` (cause: ${cause})` : ''}`); - // 识别常见网络错误码 - if (/ECONNREFUSED/i.test(errDetail)) { - logger.error('[AI] Hint: Connection refused — check if AI Gateway service is running and the URL is correct'); - } else if (/ENOTFOUND/i.test(errDetail)) { - logger.error('[AI] Hint: DNS resolution failed — check the gateway URL hostname'); - } else if (/ETIMEDOUT/i.test(errDetail)) { - logger.error('[AI] Hint: Connection timed out — check network connectivity and firewall rules'); - } - throw new Error(`Network error: ${errDetail}`); - } finally { - clearTimeout(timeoutId); - } - - const elapsed = Date.now() - startTime; - const requestId = resp.headers.get('ai-gateway-request-id') ?? undefined; - - if (!resp.ok) { - const detail = await resp.text().catch(() => 'unknown error'); - // 截取响应体前 500 字符防止日志爆炸 - const detailPreview = detail.length > 500 ? `${detail.slice(0, 500)}...(+${detail.length - 500} chars)` : detail; - logger.error(`[AI] ✖ HTTP ${resp.status} ${url} (${elapsed}ms) [req-id: ${requestId ?? clientRequestId}]: ${detailPreview}`); - throw new Error(`HTTP ${resp.status}: ${detail}`); - } - - logger.info(`[AI] ← ${resp.status} ${url} (${elapsed}ms)${requestId ? ` [req-id: ${requestId}]` : ''}`); - - try { - const data = (await resp.json()) as TRes; - return { data, requestId }; - } catch (e) { - logger.error(`[AI] Response JSON parse error for ${url}: ${e}`); - throw new Error(`Response parse error: ${e}`); - } -} - -// ================================================================ -// 本地 Ollama 降级链 -// ================================================================ - -/** - * 带本地 Ollama 降级的调用函数 - * - * 逻辑： - * 1. 检查 OllamaConfig.enabled && OllamaService.isRunning() - * 2. 是 → 调用 localHandler()，成功则返回 { source: 'local' } - * 3. 本地失败/未启用 → 调用现有 postJson()（远程 AI Gateway） - * - * @param apiPath 远程 API 路径 - * @param body 请求体 - * @param localHandler 本地 Ollama 调用函数 - * @param authToken 认证 token - * @param userApiKey 用户 API Key - * @param timeoutMs 远程调用超时 - */ -export async function callWithLocalFallback( - apiPath: string, - body: TReq, - localHandler: () => Promise, - authToken?: string, - userApiKey?: string, - timeoutMs: number = 60000, -): Promise<{ data: TRes; source: 'local' | 'remote'; requestId?: string }> { - // 检查本地 Ollama 是否可用 - if (isLocalInferenceEnabled() && isOllamaAvailable()) { - try { - const localResult = await localHandler(); - logger.info(`[AI] ← Local Ollama success for ${apiPath}`); - return { data: localResult, source: 'local' }; - } catch (localErr) { - const errMsg = localErr instanceof Error ? localErr.message : String(localErr); - logger.warn(`[AI] Local Ollama failed for ${apiPath}, falling back to remote: ${errMsg}`); - // 本地失败，降级到远程 - } - } - - // 远程 AI Gateway 调用 - const { data, requestId } = await postJson( - apiPath, - body, - authToken, - userApiKey, - timeoutMs, - ); - return { data, source: 'remote', requestId }; -} - -// ================================================================ -// 流式 POST 请求辅助函数（SSE 解析） -// ================================================================ - -/** - * 流式 POST 请求：解析 SSE data: 行，逐 chunk yield 文本 - * - * @param apiPath API 路径（如 /api/v1/ai/summarize/stream） - * @param body 请求体 - * @param authToken 认证 token - * @param userApiKey 用户 API Key - * @param timeoutMs 超时时间 - */ -export async function* postJsonStream( - apiPath: string, - body: TReq, - authToken?: string, - userApiKey?: string, - timeoutMs: number = 300000, -): AsyncGenerator { - const base = gatewayUrl(); - if (!base) { - throw new Error('[AI] Gateway URL not configured'); - } - const url = `${base}${apiPath}`; - const clientRequestId = randomUUID(); - - logger.info(`[AI] → POST (stream) ${url} [req-id: ${clientRequestId}]`); - - const headers: Record = { - 'Content-Type': 'application/json', - 'X-Request-ID': clientRequestId, - }; - if (authToken) { - headers['Authorization'] = `Bearer ${authToken}`; - } - if (userApiKey) { - headers['X-User-API-Key'] = userApiKey; - } - - const controller = new AbortController(); - const timeoutId = setTimeout(() => controller.abort(), timeoutMs); - - let resp: Response; - try { - resp = await fetch(url, { - method: 'POST', - headers, - body: JSON.stringify(body), - signal: controller.signal, - }); - } catch (networkError: unknown) { - const err = networkError as { name?: string; message?: string }; - if (err.name === 'AbortError') { - throw new Error(`Stream request timeout after ${timeoutMs}ms`); - } - throw new Error(`Stream network error: ${err.message || String(networkError)}`); - } finally { - clearTimeout(timeoutId); - } - - const requestId = resp.headers.get('ai-gateway-request-id') ?? undefined; - - if (!resp.ok) { - const detail = await resp.text().catch(() => 'unknown error'); - logger.error(`[AI] ✖ Stream HTTP ${resp.status} ${url} [req-id: ${requestId ?? clientRequestId}]: ${detail.slice(0, 200)}`); - throw new Error(`Stream HTTP ${resp.status}: ${detail}`); - } - - logger.info(`[AI] ← Stream started ${url}${requestId ? ` [req-id: ${requestId}]` : ''}`); - - if (!resp.body) { - throw new Error('Stream response body is null'); - } - - const reader = resp.body.getReader(); - const decoder = new TextDecoder(); - let buffer = ''; - - try { - while (true) { - const { done, value } = await reader.read(); - if (done) break; - - buffer += decoder.decode(value, { stream: true }); - - // 按 \n\n 分割 SSE 事件 - const events = buffer.split('\n\n'); - buffer = events.pop() || ''; - - for (const event of events) { - const lines = event.split('\n'); - for (const line of lines) { - if (line.startsWith('data: ')) { - const data = line.slice(6).trim(); - if (data === '[DONE]') { - return; - } - try { - const parsed = JSON.parse(data); - if (parsed.error) { - throw new Error(`Stream error: ${parsed.error}`); - } - if (parsed.chunk) { - yield parsed.chunk; - } - } catch (e) { - // JSON 解析失败，尝试作为纯文本 - if (data && data !== '[DONE]') { - yield data; - } - } - } - } - } - } - } finally { - reader.releaseLock(); - } -} +/** + * AI 网关公共工具 — 统一出口 barrel + * + * @ai-context: 2026-07 拆分——地址管理在 gatewayConfig、HTTP 请求在 + * gatewayHttp、SSE 流式在 gatewayStream；本文件保留 AIFeatureDef 接口 + * 定义并 re-export 全部符号，全部 handler 的旧导入路径零改动。 + */ + +// ================================================================ +// AI 功能注册表接口定义 +// ================================================================ + +/** + * AI 功能定义接口 + * + * 每个 AI handler 文件导出一个符合此接口的对象， + * 由 ai/index.ts 统一收集并注册到 IPC 系统。 + */ +export interface AIFeatureDef { + /** 功能唯一标识符，对应 IPC channel 名称 */ + id: string; + /** 功能显示名称 */ + name: string; + /** 功能版本 */ + version: string; + /** 注册函数，由注册引擎调用 */ + register: () => void; +} + +// ================================================================ +// 向后兼容 re-export +// ================================================================ + +export { + isDevMode, gatewayUrl, setRuntimeGatewayUrl, loadPersistedGatewayUrl, +} from './gatewayConfig.js'; +export { + postJson, postMultipart, callWithLocalFallback, +} from './gatewayHttp.js'; +export { + postJsonStream, +} from './gatewayStream.js'; diff --git a/client/electron/audioCapture.ts b/client/electron/audioCapture.ts index 54c8420a..85757a9b 100644 --- a/client/electron/audioCapture.ts +++ b/client/electron/audioCapture.ts @@ -1,201 +1,203 @@ -/** - * Electron 主进程系统音频捕获模块 - * - * 架构： - * 1. 主进程使用 desktopCapturer.getSources({ types: ['screen'] }) 枚举屏幕源作为音频环回候选 - * 2. 将音频 sourceId 传递给渲染进程 - * 3. 渲染进程通过 getUserMedia + chromeMediaSource: 'desktop' 获取 MediaStream - * 4. 渲染进程使用 Web Audio API (AudioContext + ScriptProcessor) 切片 - * 5. PCM 数据块通过 IPC 回传主进程，添加单调时间戳后推送给消费者 - */ - -import { desktopCapturer, DesktopCapturerSource, BrowserWindow } from 'electron'; -import { logger } from './logger'; - -// ================================================================ -// 类型定义 -// ================================================================ - -/** 音频源信息 */ -export interface AudioSourceInfo { - id: string; - name: string; -} - -/** 音频捕获配置 */ -export interface AudioCaptureOptions { - chunkDurationMs: number; // 音频块时长(ms)，默认 5000 - sampleRate: number; // 采样率，默认 16000 - channels: number; // 声道数，默认 1（单声道） -} - -/** 音频块数据（主进程 → 渲染进程） */ -export interface AudioChunk { - audioBuffer: ArrayBuffer; // PCM Float32 数据 - sampleRate: number; - channels: number; - durationMs: number; - timestamp: number; // 单调递增时间戳 (ms) -} - -/** 渲染进程上报的原始音频块 */ -interface RendererAudioChunk { - audioBuffer: ArrayBuffer; - sampleRate: number; - channels: number; - durationMs: number; -} - -// ================================================================ -// 默认配置 -// ================================================================ - -const DEFAULT_OPTIONS: AudioCaptureOptions = { - chunkDurationMs: 5000, - sampleRate: 16000, - channels: 1, -}; - -/** 单调递增时间戳生成器 */ -let lastTimestamp = 0; -function monotonicTimestamp(): number { - const now = Date.now(); - lastTimestamp = now > lastTimestamp ? now : lastTimestamp + 1; - return lastTimestamp; -} - -// ================================================================ -// 音频源枚举 -// ================================================================ - -/** - * 列出所有可用的系统音频源 - * - * Electron 中系统音频环回（WASAPI Loopback）通过桌面捕获源实现： - * 任意 screen/window 源均可配合 getUserMedia({ chromeMediaSource: 'desktop' }) - * 捕获系统音频。因此这里枚举 screen 类型源作为音频采集候选。 - */ -export async function listAudioSources(): Promise { - const sources: DesktopCapturerSource[] = await desktopCapturer.getSources({ - types: ['screen'], - thumbnailSize: { width: 1, height: 1 }, // 枚举不需要缩略图 - }); - - return sources.map((src) => ({ - id: src.id, - name: `系统音频 - ${src.name}`, - })); -} - -// ================================================================ -// 音频捕获管理器 -// ================================================================ - -export class AudioCapture { - private readonly options: AudioCaptureOptions; - private readonly onChunk: (chunk: AudioChunk) => void; - private capturing = false; - private disposed = false; - private boundWin: BrowserWindow | null = null; - - constructor( - options: Partial, - onChunk: (chunk: AudioChunk) => void, - ) { - this.options = { ...DEFAULT_OPTIONS, ...options }; - this.onChunk = onChunk; - } - - /** 是否正在捕获 */ - get isCapturing(): boolean { - return this.capturing; - } - - /** 当前配置（只读） */ - get config(): Readonly { - return this.options; - } - - /** - * 开始音频捕获 - * - * 1. 如果未指定 sourceId，自动选择第一个可用的系统音频源 - * 2. 向渲染进程发送启动指令（含 sourceId + 配置） - * 3. 渲染进程负责 getUserMedia 和音频切片 - */ - async start(win: BrowserWindow, sourceId?: string): Promise { - if (this.capturing || this.disposed) return; - - // 解析音频源 - let resolvedSourceId = sourceId ?? null; - if (!resolvedSourceId) { - const sources = await listAudioSources(); - if (sources.length === 0) { - console.warn('[AudioCapture] 未找到可用的系统音频源'); - throw new Error('No audio source available'); - } - resolvedSourceId = sources[0].id; - logger.info(`[AudioCapture] 自动选择音频源: ${sources[0].name} (${resolvedSourceId})`); - } - - this.capturing = true; - this.boundWin = win; - - logger.info( - `[AudioCapture] 开始捕获, sourceId=${resolvedSourceId}, ` + - `chunkDurationMs=${this.options.chunkDurationMs}, ` + - `sampleRate=${this.options.sampleRate}, channels=${this.options.channels}`, - ); - - // 通知渲染进程开始音频采集 - if (!win.isDestroyed()) { - win.webContents.send('audio_capture_do_start', { - sourceId: resolvedSourceId, - options: this.options, - }); - } - } - - /** - * 停止音频捕获 - */ - stop(): void { - if (!this.capturing) return; - - this.capturing = false; - logger.info('[AudioCapture] 停止捕获'); - - // 通知渲染进程停止音频采集 - if (this.boundWin && !this.boundWin.isDestroyed()) { - this.boundWin.webContents.send('audio_capture_do_stop'); - } - this.boundWin = null; - } - - /** - * 接收来自渲染进程的音频块数据 - * 由 IPC handler 调用，添加单调时间戳后通过回调发出 - */ - handleRendererChunk(data: RendererAudioChunk): void { - if (!this.capturing || this.disposed) return; - - const chunk: AudioChunk = { - audioBuffer: data.audioBuffer, - sampleRate: data.sampleRate, - channels: data.channels, - durationMs: data.durationMs, - timestamp: monotonicTimestamp(), - }; - - this.onChunk(chunk); - } - - /** - * 销毁实例，释放所有资源 - */ - dispose(): void { - this.stop(); - this.disposed = true; - logger.info('[AudioCapture] 已销毁'); - } -} +/** + * Electron 主进程系统音频捕获模块 + * + * 架构： + * 1. 主进程使用 desktopCapturer.getSources({ types: ['screen'] }) 枚举屏幕源作为音频环回候选 + * 2. 将音频 sourceId 传递给渲染进程 + * 3. 渲染进程通过 getUserMedia + chromeMediaSource: 'desktop' 获取 MediaStream + * 4. 渲染进程使用 Web Audio API (AudioContext + ScriptProcessor) 切片 + * 5. PCM 数据块通过 IPC 回传主进程，添加单调时间戳后推送给消费者 + * + * @ai-context: 系统音频捕获：渲染进程 getDisplayMedia 采集、主进程聚合分块。 + */ + +import { desktopCapturer, DesktopCapturerSource, BrowserWindow } from 'electron'; +import { logger } from './logger'; + +// ================================================================ +// 类型定义 +// ================================================================ + +/** 音频源信息 */ +export interface AudioSourceInfo { + id: string; + name: string; +} + +/** 音频捕获配置 */ +export interface AudioCaptureOptions { + chunkDurationMs: number; // 音频块时长(ms)，默认 5000 + sampleRate: number; // 采样率，默认 16000 + channels: number; // 声道数，默认 1（单声道） +} + +/** 音频块数据（主进程 → 渲染进程） */ +export interface AudioChunk { + audioBuffer: ArrayBuffer; // PCM Float32 数据 + sampleRate: number; + channels: number; + durationMs: number; + timestamp: number; // 单调递增时间戳 (ms) +} + +/** 渲染进程上报的原始音频块 */ +interface RendererAudioChunk { + audioBuffer: ArrayBuffer; + sampleRate: number; + channels: number; + durationMs: number; +} + +// ================================================================ +// 默认配置 +// ================================================================ + +const DEFAULT_OPTIONS: AudioCaptureOptions = { + chunkDurationMs: 5000, + sampleRate: 16000, + channels: 1, +}; + +/** 单调递增时间戳生成器 */ +let lastTimestamp = 0; +function monotonicTimestamp(): number { + const now = Date.now(); + lastTimestamp = now > lastTimestamp ? now : lastTimestamp + 1; + return lastTimestamp; +} + +// ================================================================ +// 音频源枚举 +// ================================================================ + +/** + * 列出所有可用的系统音频源 + * + * Electron 中系统音频环回（WASAPI Loopback）通过桌面捕获源实现： + * 任意 screen/window 源均可配合 getUserMedia({ chromeMediaSource: 'desktop' }) + * 捕获系统音频。因此这里枚举 screen 类型源作为音频采集候选。 + */ +export async function listAudioSources(): Promise { + const sources: DesktopCapturerSource[] = await desktopCapturer.getSources({ + types: ['screen'], + thumbnailSize: { width: 1, height: 1 }, // 枚举不需要缩略图 + }); + + return sources.map((src) => ({ + id: src.id, + name: `系统音频 - ${src.name}`, + })); +} + +// ================================================================ +// 音频捕获管理器 +// ================================================================ + +export class AudioCapture { + private readonly options: AudioCaptureOptions; + private readonly onChunk: (chunk: AudioChunk) => void; + private capturing = false; + private disposed = false; + private boundWin: BrowserWindow | null = null; + + constructor( + options: Partial, + onChunk: (chunk: AudioChunk) => void, + ) { + this.options = { ...DEFAULT_OPTIONS, ...options }; + this.onChunk = onChunk; + } + + /** 是否正在捕获 */ + get isCapturing(): boolean { + return this.capturing; + } + + /** 当前配置（只读） */ + get config(): Readonly { + return this.options; + } + + /** + * 开始音频捕获 + * + * 1. 如果未指定 sourceId，自动选择第一个可用的系统音频源 + * 2. 向渲染进程发送启动指令（含 sourceId + 配置） + * 3. 渲染进程负责 getUserMedia 和音频切片 + */ + async start(win: BrowserWindow, sourceId?: string): Promise { + if (this.capturing || this.disposed) return; + + // 解析音频源 + let resolvedSourceId = sourceId ?? null; + if (!resolvedSourceId) { + const sources = await listAudioSources(); + if (sources.length === 0) { + console.warn('[AudioCapture] 未找到可用的系统音频源'); + throw new Error('No audio source available'); + } + resolvedSourceId = sources[0].id; + logger.info(`[AudioCapture] 自动选择音频源: ${sources[0].name} (${resolvedSourceId})`); + } + + this.capturing = true; + this.boundWin = win; + + logger.info( + `[AudioCapture] 开始捕获, sourceId=${resolvedSourceId}, ` + + `chunkDurationMs=${this.options.chunkDurationMs}, ` + + `sampleRate=${this.options.sampleRate}, channels=${this.options.channels}`, + ); + + // 通知渲染进程开始音频采集 + if (!win.isDestroyed()) { + win.webContents.send('audio_capture_do_start', { + sourceId: resolvedSourceId, + options: this.options, + }); + } + } + + /** + * 停止音频捕获 + */ + stop(): void { + if (!this.capturing) return; + + this.capturing = false; + logger.info('[AudioCapture] 停止捕获'); + + // 通知渲染进程停止音频采集 + if (this.boundWin && !this.boundWin.isDestroyed()) { + this.boundWin.webContents.send('audio_capture_do_stop'); + } + this.boundWin = null; + } + + /** + * 接收来自渲染进程的音频块数据 + * 由 IPC handler 调用，添加单调时间戳后通过回调发出 + */ + handleRendererChunk(data: RendererAudioChunk): void { + if (!this.capturing || this.disposed) return; + + const chunk: AudioChunk = { + audioBuffer: data.audioBuffer, + sampleRate: data.sampleRate, + channels: data.channels, + durationMs: data.durationMs, + timestamp: monotonicTimestamp(), + }; + + this.onChunk(chunk); + } + + /** + * 销毁实例，释放所有资源 + */ + dispose(): void { + this.stop(); + this.disposed = true; + logger.info('[AudioCapture] 已销毁'); + } +} diff --git a/client/electron/captureHandlers.ts b/client/electron/captureHandlers.ts index b0b3423e..2422be10 100644 --- a/client/electron/captureHandlers.ts +++ b/client/electron/captureHandlers.ts @@ -1,421 +1,26 @@ -/** - * 屏幕截图 & 系统音频 & 视频录制 IPC Handler - * - * 从 main.ts 拆分而来，管理截图采集、音频捕获和视频录制的生命周期。 - */ - -import { BrowserWindow, ipcMain, desktopCapturer } from 'electron'; -import { ScreenCapture } from './screenCapture.js'; -import type { ScreenCaptureOptions, ScreenshotFrameData } from './screenCapture.js'; -import { AudioCapture, listAudioSources } from './audioCapture.js'; -import type { AudioCaptureOptions, AudioChunk } from './audioCapture.js'; -import { VideoRecorder } from './videoRecorder.js'; -import type { VideoRecordOptions } from './videoRecorder.js'; -import { safeHandle, getMainWindowId } from './ipcUtils.js'; -import { logger } from './logger.js'; -import { scoreAndFilterWindows } from './windowScorer.js'; - -// ================================================================ -// 模块级状态 -// ================================================================ - -/** 当前活跃的截图采集实例 */ -let activeCapture: ScreenCapture | null = null; - -/** 当前活跃的音频捕获实例 */ -let activeAudioCapture: AudioCapture | null = null; - -/** @ai-context Path C 全程录制：当前活跃的视频录制实例 */ -let activeVideoRecorder: VideoRecorder | null = null; - -/** screen_capture_start 防抖：500ms 内多次调用只响应最后一次 */ -let startDebounceTimer: ReturnType | null = null; -const START_DEBOUNCE_MS = 500; - -/** 单调递增会话标识，用于防止 stop 后残留的 debounce 重启采集 */ -let captureSessionToken = 0; - -/** 窗口监听轮询定时器 */ -let windowWatchTimer: ReturnType | null = null; - -/** 上一次窗口列表的 id 集合（用于 diff 检测变化） */ -let lastWindowIds: Set = new Set(); - -const WINDOW_WATCH_INTERVAL_MS = 3000; - -// ================================================================ -// 公共 API -// ================================================================ - -/** - * 注册所有截图 & 音频相关的 IPC handler - */ -export function registerCaptureHandlers(): void { - // ---- 屏幕截图 ---- - - safeHandle( - 'screen_capture_start', - async (event, options: ScreenCaptureOptions) => { - // 防抖：500ms 内多次调用只响应最后一次 - if (startDebounceTimer) { - clearTimeout(startDebounceTimer); - startDebounceTimer = null; - } - - // 记录本次会话 token，用于 debounce 回调时校验是否仍然有效 - const token = ++captureSessionToken; - - return new Promise<{ success: boolean }>((resolve) => { - startDebounceTimer = setTimeout(() => { - startDebounceTimer = null; - - // 如果在 debounce 期间调用了 stop（token 已变），放弃本次启动 - if (token !== captureSessionToken) { - logger.info('[IPC] screen_capture_start debounce 已过期（stop 后残留），跳过'); - resolve({ success: false }); - return; - } - - // 幂等：先清理旧实例 - if (activeCapture) { - activeCapture.dispose(); - activeCapture = null; - } - - const senderWin = BrowserWindow.fromWebContents(event.sender); - - // 对采集参数做边界校验，防止非法值导致主进程异常 - const safeOptions = options || {}; - if (typeof safeOptions.interval === 'number' && (safeOptions.interval < 100 || safeOptions.interval > 60000)) { - safeOptions.interval = 5000; - } - - activeCapture = new ScreenCapture(safeOptions, (frame: ScreenshotFrameData) => { - if (senderWin && !senderWin.isDestroyed()) { - senderWin.webContents.send('screen_capture_frame', frame); - } - }); - - activeCapture.start(); - logger.info('[IPC] screen_capture_start 已启动（防抖后）'); - resolve({ success: true }); - }, START_DEBOUNCE_MS); - }); - }, - ); - - safeHandle('screen_capture_stop', async () => { - // 递增 token，使残留的 debounce 回调失效 - captureSessionToken++; - - // 清理防抖定时器 - if (startDebounceTimer) { - clearTimeout(startDebounceTimer); - startDebounceTimer = null; - } - - if (activeCapture) { - activeCapture.dispose(); - activeCapture = null; - logger.info('[IPC] screen_capture_stop 已停止'); - } - return { success: true }; - }); - - safeHandle('screen_list_windows', async () => { - try { - const sources = await desktopCapturer.getSources({ - types: ['window'], - thumbnailSize: { width: 240, height: 135 }, - }); - - const rawWindows = sources.map((src) => { - const thumb = src.thumbnail.isEmpty() ? src.thumbnail : src.thumbnail.resize({ width: 120 }); - return { - id: src.id, - title: src.name, - thumbnail: thumb.toDataURL(), - }; - }); - - // 智能评分、过滤与排序 - return scoreAndFilterWindows(rawWindows); - } catch (err) { - logger.error('[IPC] screen_list_windows failed:', err); - return []; - } - }); - - // ---- 窗口变化监听（轮询） ---- - - safeHandle('screen_watch_windows_start', async () => { - if (windowWatchTimer) return { success: true }; // 已在监听 - - logger.info('[IPC] 窗口监听已启动, interval=' + WINDOW_WATCH_INTERVAL_MS + 'ms'); - - windowWatchTimer = setInterval(async () => { - try { - const sources = await desktopCapturer.getSources({ - types: ['window'], - thumbnailSize: { width: 240, height: 135 }, - }); - - const currentIds = new Set(sources.map((s) => s.id)); - - // 检测是否有变化（新增或关闭窗口） - const hasChanged = - currentIds.size !== lastWindowIds.size || - [...currentIds].some((id) => !lastWindowIds.has(id)); - - if (hasChanged) { - lastWindowIds = currentIds; - - const rawWindows = sources.map((src) => { - const thumb = src.thumbnail.isEmpty() ? src.thumbnail : src.thumbnail.resize({ width: 120 }); - return { id: src.id, title: src.name, thumbnail: thumb.toDataURL() }; - }); - - const scored = scoreAndFilterWindows(rawWindows); - - // 推送到渲染进程 - const mainWindowId = getMainWindowId(); - if (mainWindowId) { - const win = BrowserWindow.fromId(mainWindowId); - if (win && !win.isDestroyed()) { - win.webContents.send('screen_windows_changed', scored); - } - } - } - } catch (err) { - logger.error('[IPC] window watch poll error:', err); - } - }, WINDOW_WATCH_INTERVAL_MS); - - return { success: true }; - }); - - safeHandle('screen_watch_windows_stop', async () => { - if (windowWatchTimer) { - clearInterval(windowWatchTimer); - windowWatchTimer = null; - lastWindowIds = new Set(); - logger.info('[IPC] 窗口监听已停止'); - } - return { success: true }; - }); - - // ---- 系统音频捕获 ---- - - safeHandle('audio_list_sources', async () => { - try { - return await listAudioSources(); - } catch (err) { - logger.error('[IPC] audio_list_sources failed:', err); - return []; - } - }); - - safeHandle( - 'audio_capture_start', - async (event, options?: Partial & { sourceId?: string }) => { - if (activeAudioCapture) { - activeAudioCapture.dispose(); - activeAudioCapture = null; - } - - const senderWin = BrowserWindow.fromWebContents(event.sender); - if (!senderWin || senderWin.isDestroyed()) { - return { success: false, error: 'No valid window' }; - } - - const captureOptions: Partial = { - chunkDurationMs: options?.chunkDurationMs, - sampleRate: options?.sampleRate, - channels: options?.channels, - }; - - activeAudioCapture = new AudioCapture(captureOptions, (chunk: AudioChunk) => { - if (senderWin && !senderWin.isDestroyed()) { - senderWin.webContents.send('audio_capture_chunk', chunk); - } - }); - - try { - await activeAudioCapture.start(senderWin, options?.sourceId); - logger.info('[IPC] audio_capture_start 已启动'); - return { success: true }; - } catch (err) { - const message = err instanceof Error ? err.message : String(err); - logger.error('[IPC] audio_capture_start failed:', message); - activeAudioCapture.dispose(); - activeAudioCapture = null; - return { success: false, error: message }; - } - }, - ); - - safeHandle('audio_capture_stop', async () => { - if (activeAudioCapture) { - activeAudioCapture.dispose(); - activeAudioCapture = null; - logger.info('[IPC] audio_capture_stop 已停止'); - } - return { success: true }; - }); - - ipcMain.on( - 'audio_capture_chunk', - (_event, data: unknown) => { - // SEC-005: sender 验证，仅接受主窗口的音频数据 - const mainId = getMainWindowId(); - if (mainId !== null && _event.sender.id !== mainId) { - logger.warn( - `[IPC] Sender verification failed for "audio_capture_chunk": ` + - `expected sender.id=${mainId}, got ${_event.sender.id}` - ); - return; - } - - // SEC: 运行时类型断言 — 防止恶意或格式错误的数据 - if ( - !data || - typeof data !== 'object' || - !('audioBuffer' in data) || - typeof (data as Record).sampleRate !== 'number' || - typeof (data as Record).channels !== 'number' || - typeof (data as Record).durationMs !== 'number' - ) { - logger.warn('[IPC] audio_capture_chunk: invalid data format, dropping chunk'); - return; - } - - const chunk = data as { audioBuffer: ArrayBuffer; sampleRate: number; channels: number; durationMs: number }; - if (activeAudioCapture && activeAudioCapture.isCapturing) { - activeAudioCapture.handleRendererChunk(chunk); - } - }, - ); - - // ---- Path C 视频录制 ---- - - safeHandle( - 'video_record_start', - async (event, sourceId: string, options?: VideoRecordOptions) => { - // 幂等：先清理旧实例 - if (activeVideoRecorder) { - activeVideoRecorder.dispose(); - activeVideoRecorder = null; - } - - const senderWin = BrowserWindow.fromWebContents(event.sender); - if (!senderWin || senderWin.isDestroyed()) { - return { success: false, error: 'No valid window' }; - } - - activeVideoRecorder = new VideoRecorder(options); - activeVideoRecorder.bindWindow(senderWin); - - try { - activeVideoRecorder.startRecording(sourceId, options); - logger.info('[IPC] video_record_start 已启动'); - return { success: true }; - } catch (err) { - const message = err instanceof Error ? err.message : String(err); - logger.error('[IPC] video_record_start failed:', message); - activeVideoRecorder.dispose(); - activeVideoRecorder = null; - return { success: false, error: message }; - } - }, - ); - - safeHandle('video_record_stop', async () => { - if (!activeVideoRecorder) { - return { success: false, error: 'No active recording' }; - } - try { - const filePath = await activeVideoRecorder.stopRecording(); - const finalStatus = activeVideoRecorder.status; - logger.info('[IPC] video_record_stop 已完成'); - activeVideoRecorder.dispose(); - activeVideoRecorder = null; - return { success: true, filePath, finalStatus }; - } catch (err) { - const message = err instanceof Error ? err.message : String(err); - logger.error('[IPC] video_record_stop failed:', message); - activeVideoRecorder?.dispose(); - activeVideoRecorder = null; - return { success: false, error: message }; - } - }); - - safeHandle('video_record_pause', async () => { - activeVideoRecorder?.pauseRecording(); - return { success: true }; - }); - - safeHandle('video_record_resume', async () => { - activeVideoRecorder?.resumeRecording(); - return { success: true }; - }); - - safeHandle('video_record_status', async () => { - return activeVideoRecorder?.status ?? { - isRecording: false, isPaused: false, duration: 0, fileSizeBytes: 0, filePath: null, - }; - }); - - // 渲染进程回传视频数据块 - ipcMain.on('video_record_chunk', (_event, chunkBuffer: ArrayBuffer) => { - // SEC-005: sender 验证 - const mainId = getMainWindowId(); - if (mainId !== null && _event.sender.id !== mainId) { - logger.warn( - `[IPC] Sender verification failed for "video_record_chunk": ` + - `expected sender.id=${mainId}, got ${_event.sender.id}` - ); - return; - } - activeVideoRecorder?.handleRendererChunk(chunkBuffer); - }); - - // 渲染进程上报录制错误 - ipcMain.on('video_record_error', (_event, errorInfo: { message: string }) => { - const mainId = getMainWindowId(); - if (mainId !== null && _event.sender.id !== mainId) { - logger.warn( - `[IPC] Sender verification failed for "video_record_error": ` + - `expected sender.id=${mainId}, got ${_event.sender.id}` - ); - return; - } - activeVideoRecorder?.handleRendererError(errorInfo); - }); -} - -// ================================================================ -// 清理 -// ================================================================ - -/** - * 释放所有活跃的采集实例 - */ -export function disposeCaptureHandlers(): void { - // 清理防抖定时器 - if (startDebounceTimer) { - clearTimeout(startDebounceTimer); - startDebounceTimer = null; - } - if (activeCapture) { - activeCapture.dispose(); - activeCapture = null; - } - if (activeAudioCapture) { - activeAudioCapture.dispose(); - activeAudioCapture = null; - } - if (activeVideoRecorder) { - activeVideoRecorder.dispose(); - activeVideoRecorder = null; - } -} +/** + * 屏幕截图 & 系统音频 & 视频录制 IPC Handler — 编排入口 + * + * @ai-context: 2026-07 拆分——屏幕截图/窗口监听在 screenCaptureHandlers、 + * 音频/视频在 mediaCaptureHandlers；本文件仅保留注册与清理编排， + * main.ts 的调用点（registerCaptureHandlers/disposeCaptureHandlers） + * 签名不变。 + */ +import { registerScreenCaptureHandlers, disposeScreenCaptureHandlers } from './screenCaptureHandlers.js'; +import { registerMediaCaptureHandlers, disposeMediaCaptureHandlers } from './mediaCaptureHandlers.js'; + +/** + * 注册所有截图 & 音频 & 视频相关的 IPC handler + */ +export function registerCaptureHandlers(): void { + registerScreenCaptureHandlers(); + registerMediaCaptureHandlers(); +} + +/** + * 释放所有活跃的采集实例 + */ +export function disposeCaptureHandlers(): void { + disposeScreenCaptureHandlers(); + disposeMediaCaptureHandlers(); +} diff --git a/client/electron/cspPolicy.ts b/client/electron/cspPolicy.ts new file mode 100644 index 00000000..60408ca5 --- /dev/null +++ b/client/electron/cspPolicy.ts @@ -0,0 +1,62 @@ +/** + * CSP 安全策略注入（SEC-005） + * + * @ai-context: 从 main.ts 拆出。connect-src 白名单每次请求动态计算， + * 确保用户运行时修改网关 URL 立即生效。生产 script-src 必须保留 + * 'wasm-unsafe-eval'——否则 automerge WASM 被 CSP 拦截、顶层 import + * 失败、应用卡启动画面（仅放开 WASM 编译，不放开 JS eval）。 + * @ai-context: 开发模式需 unsafe-eval + worker-src blob:（Vite 8 HMR + * 用 blob: 创建 SharedWorker）。修改 CSP 前必须全链路回归启动流程。 + */ +import { session } from 'electron'; +import { logger } from './logger.js'; +import { gatewayUrl } from './ai/utils.js'; + +/** 生产网关默认域（与 ai/utils DEFAULT_GATEWAY_URL 保持一致） */ +const DEFAULT_GATEWAY = 'https://entropydecrease.com'; + +/** + * 动态构建 connect-src 白名单 + * 每次请求时重新计算，确保运行时网关 URL 变更（如用户通过设置页修改）能及时生效 + */ +function buildExtraConnectSrc(): string { + const extraOrigins = new Set(); + // 当前运行时网关 URL（可能已被用户通过 IPC 修改） + const currentGateway = gatewayUrl(); + if (currentGateway && currentGateway !== DEFAULT_GATEWAY) { + extraOrigins.add(currentGateway); + } + // 环境变量中的 API 地址 + const configuredApi = process.env.VITE_API_BASE_URL || ''; + if (configuredApi && configuredApi !== DEFAULT_GATEWAY) { + extraOrigins.add(configuredApi); + } + return extraOrigins.size > 0 ? ` ${[...extraOrigins].join(' ')}` : ''; +} + +/** + * 注入 CSP 响应头（app ready 后调用一次） + */ +export function installCspPolicy(isDev: boolean): void { + try { + session.defaultSession.webRequest.onHeadersReceived((details, callback) => { + const extraConnectSrc = buildExtraConnectSrc(); + // 开发环境：允许 unsafe-inline/unsafe-eval（Vite HMR 需要），worker-src 需要 blob: + // 生产环境：禁止 unsafe-eval，保留 unsafe-inline（Tailwind 运行时需要） + const csp = isDev + ? `default-src 'self' 'unsafe-inline' 'unsafe-eval' http://localhost:* ws://localhost:*; worker-src 'self' blob: http://localhost:*; connect-src 'self' http://localhost:* ws://localhost:* https://*.supabase.co wss://*.supabase.co https://entropydecrease.com wss://entropydecrease.com${extraConnectSrc}; img-src 'self' data: blob: https://*.supabase.co; font-src 'self' data:;` + : `default-src 'self'; script-src 'self' 'wasm-unsafe-eval'; style-src 'self' 'unsafe-inline'; img-src 'self' data: blob: https://*.supabase.co; font-src 'self' data:; connect-src 'self' https://*.supabase.co wss://*.supabase.co https://entropydecrease.com wss://entropydecrease.com${extraConnectSrc}; frame-ancestors 'none';`; + + callback({ + responseHeaders: { + ...details.responseHeaders, + 'Content-Security-Policy': [csp], + }, + }); + }); + logger.info(`[SEC] CSP policy injected (${isDev ? 'development' : 'production'} mode, dynamic gateway tracking enabled)`); + } catch (err) { + // CSP 注入失败时记录错误但不阻塞启动 + logger.error('[SEC] Failed to inject CSP policy', err); + } +} diff --git a/client/electron/db/dbFileMigrator.ts b/client/electron/db/dbFileMigrator.ts index 0b37900e..28f835bd 100644 --- a/client/electron/db/dbFileMigrator.ts +++ b/client/electron/db/dbFileMigrator.ts @@ -1,239 +1,241 @@ -/** - * 数据库文件迁移模块 - * - * 负责将 SQLite 数据库文件（含 WAL/SHM）从一个目录复制到另一个目录， - * 包含完整性校验和备份功能。 - * - * 注意：WAL checkpoint 应在调用本模块之前由 sqliteService.checkpointAndClose() 完成。 - */ - -import { copyFile, mkdir, stat, access, rm } from 'fs/promises'; -import { createHash } from 'crypto'; -import { createReadStream } from 'fs'; -import * as path from 'path'; -import Database from 'better-sqlite3'; -import { logger } from '../logger.js'; - -// ================================================================ -// 类型定义 -// ================================================================ - -export interface MigrationResult { - success: boolean; - sourcePath: string; - targetPath: string; - error?: string; - filesCopied?: string[]; -} - -// ================================================================ -// 常量 -// ================================================================ - -const DB_FILES = ['keban.db', 'keban.db-wal', 'keban.db-shm']; - -// ================================================================ -// 内部工具函数 -// ================================================================ - -/** - * 计算文件的 SHA-256 哈希 - */ -function computeFileHash(filePath: string): Promise { - return new Promise((resolve, reject) => { - const hash = createHash('sha256'); - const stream = createReadStream(filePath); - stream.on('data', (data) => hash.update(data)); - stream.on('end', () => resolve(hash.digest('hex'))); - stream.on('error', reject); - }); -} - -/** - * 检查文件是否存在 - */ -async function fileExists(filePath: string): Promise { - try { - await access(filePath); - return true; - } catch { - return false; - } -} - -/** - * 检查目标磁盘可用空间是否足够 - */ -async function checkDiskSpace(targetDir: string, requiredBytes: number): Promise { - try { - // 使用 fs.statfs（Node.js 18.15+）检查磁盘空间 - const { statfs } = await import('fs/promises'); - const stats = await statfs(targetDir); - const availableBytes = stats.bavail * stats.bsize; - return availableBytes >= requiredBytes * 1.1; // 留 10% 余量 - } catch (err) { - const errInfo = err instanceof Error ? err.message : String(err); - logger.warn(`[DBMigrator] Failed to check disk space, proceeding anyway: ${errInfo}`); - return true; // 无法检查时不阻塞 - } -} - -/** - * 清理失败的迁移（删除目标目录中的数据库文件副本） - */ -async function cleanupFailedMigration(targetDir: string): Promise { - for (const fileName of DB_FILES) { - const filePath = path.join(targetDir, fileName); - try { - if (await fileExists(filePath)) { - await rm(filePath); - logger.info(`[DBMigrator] Cleaned up failed copy: ${fileName}`); - } - } catch (err) { - logger.error(`[DBMigrator] Failed to cleanup ${fileName}`, err); - } - } -} - -// ================================================================ -// 公共 API -// ================================================================ - -/** - * 迁移数据库文件从源目录到目标目录 - * - * 复制 keban.db / keban.db-wal / keban.db-shm，并在每个文件复制后 - * 进行 SHA-256 完整性校验。校验失败时自动清理已复制文件。 - */ -export async function migrateDatabaseFiles( - sourceDir: string, - targetDir: string, -): Promise { - const sourceDb = path.join(sourceDir, 'keban.db'); - - // 1. 检查源数据库存在 - if (!(await fileExists(sourceDb))) { - return { - success: false, - sourcePath: sourceDir, - targetPath: targetDir, - error: '源数据库文件不存在: ' + sourceDb, - }; - } - - try { - // 2. 确保目标目录存在 - await mkdir(targetDir, { recursive: true }); - - // 3. 检查磁盘空间 - const sourceStats = await stat(sourceDb); - let totalSize = sourceStats.size; - - // 计算所有存在的文件大小 - for (const fileName of DB_FILES) { - const filePath = path.join(sourceDir, fileName); - if (await fileExists(filePath)) { - const fileStat = await stat(filePath); - totalSize += fileStat.size; - } - } - - const hasSpace = await checkDiskSpace(targetDir, totalSize); - if (!hasSpace) { - return { - success: false, - sourcePath: sourceDir, - targetPath: targetDir, - error: '目标磁盘空间不足，请确保至少有 ' + Math.ceil(totalSize * 1.1 / 1024 / 1024) + ' MB 可用空间', - }; - } - - // 4. 复制所有数据库文件 - const copiedFiles: string[] = []; - - for (const fileName of DB_FILES) { - const sourcePath = path.join(sourceDir, fileName); - const targetPath = path.join(targetDir, fileName); - - if (await fileExists(sourcePath)) { - logger.info(`[DBMigrator] Copying ${fileName}...`); - await copyFile(sourcePath, targetPath); - copiedFiles.push(fileName); - - // 5. 校验完整性（SHA-256） - const sourceHash = await computeFileHash(sourcePath); - const targetHash = await computeFileHash(targetPath); - - if (sourceHash !== targetHash) { - // 校验失败，清理已复制文件 - logger.error(`[DBMigrator] Hash mismatch for ${fileName}`); - await cleanupFailedMigration(targetDir); - return { - success: false, - sourcePath: sourceDir, - targetPath: targetDir, - error: `文件完整性校验失败: ${fileName}`, - }; - } - - logger.info(`[DBMigrator] ${fileName} copied and verified`); - } - } - - logger.info(`[DBMigrator] Migration completed: ${copiedFiles.length} files copied`); - return { - success: true, - sourcePath: sourceDir, - targetPath: targetDir, - filesCopied: copiedFiles, - }; - } catch (err) { - const errorMsg = err instanceof Error ? err.message : String(err); - logger.error('[DBMigrator] Migration failed', err); - await cleanupFailedMigration(targetDir); - return { - success: false, - sourcePath: sourceDir, - targetPath: targetDir, - error: '迁移失败: ' + errorMsg, - }; - } -} - -/** - * 验证数据库文件完整性 - * - * 使用 SQLite PRAGMA integrity_check 检测数据库是否完好。 - */ -export function verifyDatabaseIntegrity(dbPath: string): boolean { - let tempDb: Database.Database | null = null; - try { - tempDb = new Database(dbPath, { readonly: true }); - const result = tempDb.pragma('integrity_check', { simple: true }); - const ok = result === 'ok'; - logger.info(`[DBMigrator] Integrity check: ${result}`); - return ok; - } catch (err) { - logger.error('[DBMigrator] Integrity check failed', err); - return false; - } finally { - if (tempDb) { - try { tempDb.close(); } catch { /* ignore */ } - } - } -} - -/** - * 为旧路径数据库创建备份 - * 将 keban.db / keban.db-wal / keban.db-shm 各复制为 .bak（同目录） - */ -export async function createBackup(dbDir: string): Promise { - for (const fileName of DB_FILES) { - const sourcePath = path.join(dbDir, fileName); - const backupPath = path.join(dbDir, fileName + '.bak'); - if (await fileExists(sourcePath)) { - await copyFile(sourcePath, backupPath); - logger.info(`[DBMigrator] Backup created: ${fileName}.bak`); - } - } -} +/** + * 数据库文件迁移模块 + * + * 负责将 SQLite 数据库文件（含 WAL/SHM）从一个目录复制到另一个目录， + * 包含完整性校验和备份功能。 + * + * 注意：WAL checkpoint 应在调用本模块之前由 sqliteService.checkpointAndClose() 完成。 + * + * @ai-context: SQLite 数据库文件迁移（keban.db/-wal/-shm 三文件为存量用户数据标识，永久豁免品牌改名）：复制后校验、旧库改 .bak。 + */ + +import { copyFile, mkdir, stat, access, rm } from 'fs/promises'; +import { createHash } from 'crypto'; +import { createReadStream } from 'fs'; +import * as path from 'path'; +import Database from 'better-sqlite3'; +import { logger } from '../logger.js'; + +// ================================================================ +// 类型定义 +// ================================================================ + +export interface MigrationResult { + success: boolean; + sourcePath: string; + targetPath: string; + error?: string; + filesCopied?: string[]; +} + +// ================================================================ +// 常量 +// ================================================================ + +const DB_FILES = ['keban.db', 'keban.db-wal', 'keban.db-shm']; + +// ================================================================ +// 内部工具函数 +// ================================================================ + +/** + * 计算文件的 SHA-256 哈希 + */ +function computeFileHash(filePath: string): Promise { + return new Promise((resolve, reject) => { + const hash = createHash('sha256'); + const stream = createReadStream(filePath); + stream.on('data', (data) => hash.update(data)); + stream.on('end', () => resolve(hash.digest('hex'))); + stream.on('error', reject); + }); +} + +/** + * 检查文件是否存在 + */ +async function fileExists(filePath: string): Promise { + try { + await access(filePath); + return true; + } catch { + return false; + } +} + +/** + * 检查目标磁盘可用空间是否足够 + */ +async function checkDiskSpace(targetDir: string, requiredBytes: number): Promise { + try { + // 使用 fs.statfs（Node.js 18.15+）检查磁盘空间 + const { statfs } = await import('fs/promises'); + const stats = await statfs(targetDir); + const availableBytes = stats.bavail * stats.bsize; + return availableBytes >= requiredBytes * 1.1; // 留 10% 余量 + } catch (err) { + const errInfo = err instanceof Error ? err.message : String(err); + logger.warn(`[DBMigrator] Failed to check disk space, proceeding anyway: ${errInfo}`); + return true; // 无法检查时不阻塞 + } +} + +/** + * 清理失败的迁移（删除目标目录中的数据库文件副本） + */ +async function cleanupFailedMigration(targetDir: string): Promise { + for (const fileName of DB_FILES) { + const filePath = path.join(targetDir, fileName); + try { + if (await fileExists(filePath)) { + await rm(filePath); + logger.info(`[DBMigrator] Cleaned up failed copy: ${fileName}`); + } + } catch (err) { + logger.error(`[DBMigrator] Failed to cleanup ${fileName}`, err); + } + } +} + +// ================================================================ +// 公共 API +// ================================================================ + +/** + * 迁移数据库文件从源目录到目标目录 + * + * 复制 keban.db / keban.db-wal / keban.db-shm，并在每个文件复制后 + * 进行 SHA-256 完整性校验。校验失败时自动清理已复制文件。 + */ +export async function migrateDatabaseFiles( + sourceDir: string, + targetDir: string, +): Promise { + const sourceDb = path.join(sourceDir, 'keban.db'); + + // 1. 检查源数据库存在 + if (!(await fileExists(sourceDb))) { + return { + success: false, + sourcePath: sourceDir, + targetPath: targetDir, + error: '源数据库文件不存在: ' + sourceDb, + }; + } + + try { + // 2. 确保目标目录存在 + await mkdir(targetDir, { recursive: true }); + + // 3. 检查磁盘空间 + const sourceStats = await stat(sourceDb); + let totalSize = sourceStats.size; + + // 计算所有存在的文件大小 + for (const fileName of DB_FILES) { + const filePath = path.join(sourceDir, fileName); + if (await fileExists(filePath)) { + const fileStat = await stat(filePath); + totalSize += fileStat.size; + } + } + + const hasSpace = await checkDiskSpace(targetDir, totalSize); + if (!hasSpace) { + return { + success: false, + sourcePath: sourceDir, + targetPath: targetDir, + error: '目标磁盘空间不足，请确保至少有 ' + Math.ceil(totalSize * 1.1 / 1024 / 1024) + ' MB 可用空间', + }; + } + + // 4. 复制所有数据库文件 + const copiedFiles: string[] = []; + + for (const fileName of DB_FILES) { + const sourcePath = path.join(sourceDir, fileName); + const targetPath = path.join(targetDir, fileName); + + if (await fileExists(sourcePath)) { + logger.info(`[DBMigrator] Copying ${fileName}...`); + await copyFile(sourcePath, targetPath); + copiedFiles.push(fileName); + + // 5. 校验完整性（SHA-256） + const sourceHash = await computeFileHash(sourcePath); + const targetHash = await computeFileHash(targetPath); + + if (sourceHash !== targetHash) { + // 校验失败，清理已复制文件 + logger.error(`[DBMigrator] Hash mismatch for ${fileName}`); + await cleanupFailedMigration(targetDir); + return { + success: false, + sourcePath: sourceDir, + targetPath: targetDir, + error: `文件完整性校验失败: ${fileName}`, + }; + } + + logger.info(`[DBMigrator] ${fileName} copied and verified`); + } + } + + logger.info(`[DBMigrator] Migration completed: ${copiedFiles.length} files copied`); + return { + success: true, + sourcePath: sourceDir, + targetPath: targetDir, + filesCopied: copiedFiles, + }; + } catch (err) { + const errorMsg = err instanceof Error ? err.message : String(err); + logger.error('[DBMigrator] Migration failed', err); + await cleanupFailedMigration(targetDir); + return { + success: false, + sourcePath: sourceDir, + targetPath: targetDir, + error: '迁移失败: ' + errorMsg, + }; + } +} + +/** + * 验证数据库文件完整性 + * + * 使用 SQLite PRAGMA integrity_check 检测数据库是否完好。 + */ +export function verifyDatabaseIntegrity(dbPath: string): boolean { + let tempDb: Database.Database | null = null; + try { + tempDb = new Database(dbPath, { readonly: true }); + const result = tempDb.pragma('integrity_check', { simple: true }); + const ok = result === 'ok'; + logger.info(`[DBMigrator] Integrity check: ${result}`); + return ok; + } catch (err) { + logger.error('[DBMigrator] Integrity check failed', err); + return false; + } finally { + if (tempDb) { + try { tempDb.close(); } catch { /* ignore */ } + } + } +} + +/** + * 为旧路径数据库创建备份 + * 将 keban.db / keban.db-wal / keban.db-shm 各复制为 .bak（同目录） + */ +export async function createBackup(dbDir: string): Promise { + for (const fileName of DB_FILES) { + const sourcePath = path.join(dbDir, fileName); + const backupPath = path.join(dbDir, fileName + '.bak'); + if (await fileExists(sourcePath)) { + await copyFile(sourcePath, backupPath); + logger.info(`[DBMigrator] Backup created: ${fileName}.bak`); + } + } +} diff --git a/client/electron/db/dbIpcHandlers.ts b/client/electron/db/dbIpcHandlers.ts new file mode 100644 index 00000000..e0d39e55 --- /dev/null +++ b/client/electron/db/dbIpcHandlers.ts @@ -0,0 +1,158 @@ +/** + * 数据访问 IPC handlers（db:*，v1.0.0） + * + * @ai-context: 从 main.ts 拆出。安全模型：表名白名单 + 方法白名单， + * 不暴露原始 SQL 给渲染进程；ALLOWED_TABLES 与 schema.ts 建表清单 + * 必须同步维护，新增业务表需两处登记。 + * @ai-context: SqliteRow 以 Record+id 约束替代 any（动态表名场景 + * 无法静态推导具体行类型，这是类型收窄的边界）。 + */ +import { safeHandle } from '../ipcUtils.js'; +import { getConnection } from './sqliteService.js'; +import SqliteRepository from './sqliteRepository.js'; + +/** 动态表名场景下的通用行类型（替代 any 的受控收窄） */ +type SqliteRow = Record & { id: string }; + +/** 允许的表名白名单（防止 SQL 注入，不暴露原始 SQL） */ +const ALLOWED_TABLES = new Set([ + 'notes', 'note_folders', 'flashcard_decks', 'flashcards', + 'flashcard_reviews', 'feynman_notes', 'feynman_summaries', + 'feynman_weak_points', 'operation_log', 'app_settings', + 'sync_conflicts', 'offline_queue', 'study_check_ins', + 'achievements', 'pomodoro_goals', 'pomodoro_sessions', + 'pomodoro_settings', 'window_captures', 'consent', + 'user_profile', 'inspirations', 'search_index', +]); + +/** camelCase → snake_case（用于表名映射） */ +const TABLE_NAME_MAP: Record = { + notes: 'notes', + noteFolders: 'note_folders', + flashcardDecks: 'flashcard_decks', + flashcards: 'flashcards', + flashcardReviews: 'flashcard_reviews', + feynmanNotes: 'feynman_notes', + feynmanSummaries: 'feynman_summaries', + feynmanWeakPoints: 'feynman_weak_points', + operationLog: 'operation_log', + appSettings: 'app_settings', + syncConflicts: 'sync_conflicts', + offlineQueue: 'offline_queue', + studyCheckIns: 'study_check_ins', + achievements: 'achievements', + pomodoroGoals: 'pomodoro_goals', + pomodoroSessions: 'pomodoro_sessions', + pomodoroSettings: 'pomodoro_settings', + windowCaptures: 'window_captures', + consent: 'consent', + userProfile: 'user_profile', + inspirations: 'inspirations', + searchIndex: 'search_index', +}; + +function resolveTable(table: string): string { + const snakeName = TABLE_NAME_MAP[table] || table; + if (!ALLOWED_TABLES.has(snakeName)) { + throw new Error(`[DB] Table "${table}" is not in the allowed whitelist`); + } + return snakeName; +} + +/** + * 注册全部 db:* IPC handlers（app ready 后调用一次） + */ +export function registerDbIpcHandlers(): void { + /** db:query — 查询：接收 { table, method, args } → 调用 SqliteRepository 对应方法 */ + safeHandle('db:query', async (_event, params: { table: string; method: string; args?: unknown[] }) => { + const tableName = resolveTable(params.table); + const repo = new SqliteRepository(tableName); + const allowedMethods = ['getAll', 'getById', 'count'] as const; + const method = params.method as (typeof allowedMethods)[number]; + if (!allowedMethods.includes(method)) { + throw new Error(`[DB] Query method "${params.method}" is not allowed`); + } + const fn = repo[method]; + if (typeof fn !== 'function') { + throw new Error(`[DB] Method "${params.method}" does not exist on repository`); + } + return await (fn as (...args: unknown[]) => Promise).call(repo, ...(params.args ?? [])); + }); + + /** db:insert — 插入：接收 { table, item } → create() */ + safeHandle('db:insert', async (_event, params: { table: string; item: Record }) => { + const tableName = resolveTable(params.table); + const repo = new SqliteRepository(tableName); + return await repo.create(params.item as SqliteRow); + }); + + /** db:update — 更新：接收 { table, id, changes } → update() */ + safeHandle('db:update', async (_event, params: { table: string; id: string; changes: Record }) => { + const tableName = resolveTable(params.table); + const repo = new SqliteRepository(tableName); + return await repo.update(params.id, params.changes as Partial); + }); + + /** db:delete — 删除：接收 { table, id } → delete() */ + safeHandle('db:delete', async (_event, params: { table: string; id: string }) => { + const tableName = resolveTable(params.table); + const repo = new SqliteRepository(tableName); + return await repo.delete(params.id); + }); + + /** db:search — 搜索：LIKE 模糊匹配（FTS5 在 T0.5 实现） */ + safeHandle('db:search', async (_event, params: { table: string; query: string }) => { + const tableName = resolveTable(params.table); + const dbConn = getConnection(); + const like = `%${params.query}%`; + // 对 notes 表搜索 title 和 content，其余表搜索所有 TEXT 列 + if (tableName === 'notes') { + return dbConn.prepare( + `SELECT * FROM notes WHERE title LIKE ? OR content LIKE ?` + ).all(like, like); + } + // 通用回退：获取表的 TEXT 列并搜索 + const colInfo = dbConn.prepare(`PRAGMA table_info("${tableName}")`).all() as Array<{ name: string; type: string }>; + const textCols = colInfo.filter((c) => c.type === 'TEXT' && c.name !== 'id'); + if (textCols.length === 0) return []; + const where = textCols.map((c) => `"${c.name}" LIKE ?`).join(' OR '); + return dbConn.prepare(`SELECT * FROM "${tableName}" WHERE ${where}`).all(...textCols.map(() => like)); + }); + + /** db:batch — 批量操作：事务执行 */ + safeHandle('db:batch', async (_event, params: { operations: Array<{ type: string; table: string; [key: string]: unknown }> }) => { + const dbConn = getConnection(); + + const txn = dbConn.transaction(() => { + for (const op of params.operations) { + const tableName = resolveTable(op.table as string); + switch (op.type) { + case 'insert': { + const item = op.item as Record; + const cols = Object.keys(item); + const placeholders = cols.map(() => '?').join(', '); + const sql = `INSERT INTO "${tableName}" (${cols.map((c) => `"${c}"`).join(', ')}) VALUES (${placeholders})`; + dbConn.prepare(sql).run(...Object.values(item)); + break; + } + case 'update': { + const changes = op.changes as Record; + const entries = Object.entries(changes); + if (entries.length === 0) break; + const setClauses = entries.map(([col]) => `"${col}" = ?`).join(', '); + const sql = `UPDATE "${tableName}" SET ${setClauses} WHERE id = ?`; + dbConn.prepare(sql).run(...entries.map(([, v]) => v), op.id as string); + break; + } + case 'delete': + dbConn.prepare(`DELETE FROM "${tableName}" WHERE id = ?`).run(op.id as string); + break; + default: + throw new Error(`[DB] Unknown batch operation type: ${op.type}`); + } + } + }); + txn(); + return { success: true }; + }); +} diff --git a/client/electron/db/fts5Search.ts b/client/electron/db/fts5Search.ts index d547e951..e5492bbd 100644 --- a/client/electron/db/fts5Search.ts +++ b/client/electron/db/fts5Search.ts @@ -1,135 +1,137 @@ -/** - * 基于 SQLite FTS5 的全文搜索引擎 - * unicode61 分词器 + BM25 排序，为笔记/闪卡/灵感等提供本地全文搜索。 - */ -import type Database from 'better-sqlite3'; -import { getConnection } from './sqliteService.js'; -import { logger } from '../logger.js'; - -// ================================================================ -// 类型定义 -// ================================================================ - -export interface SearchOptions { - table?: string; // 限定搜索表 - limit?: number; // 结果数量上限，默认 20 - offset?: number; // 偏移量 - highlight?: boolean; // 是否返回高亮片段 -} - -export interface SearchResult { - id: string; - table: string; - title: string; - snippet: string; // 匹配片段（高亮可选） - rank: number; // BM25 排序分数 -} - -export interface IndexTableInput { - name: string; - rows: Array<{ id: string; title?: string; content: string }>; -} - -// ================================================================ -// FTS5 虚拟表 DDL -// ================================================================ - -const FTS5_DDL = /* sql */ ` -CREATE VIRTUAL TABLE IF NOT EXISTS fts_content USING fts5( - id UNINDEXED, table_name UNINDEXED, title, content, - tokenize='unicode61 remove_diacritics 2' -);`; - -// ================================================================ -// 公共 API -// ================================================================ - -/** 创建 FTS5 虚拟表（幂等） */ -export function initializeFTS(db: Database.Database): void { - db.exec(FTS5_DDL); - logger.info('[FTS5] Full-text search virtual table initialized'); -} - -/** 索引或更新一条文档（先删后插保证幂等） */ -export function indexDocument(table: string, id: string, title: string, content: string): void { - const db = getConnection(); - db.prepare(`DELETE FROM fts_content WHERE id = ? AND table_name = ?`).run(id, table); - db.prepare(`INSERT INTO fts_content (id, table_name, title, content) VALUES (?, ?, ?, ?)`) - .run(id, table, title, content); -} - -/** 从全文索引中删除一条文档 */ -export function removeDocument(table: string, id: string): void { - getConnection() - .prepare(`DELETE FROM fts_content WHERE id = ? AND table_name = ?`) - .run(id, table); -} - -/** - * 执行全文搜索 - * - * 使用 FTS5 MATCH + BM25 排序 + snippet 高亮。 - * query 支持 FTS5 查询语法（AND、OR、NOT、前缀 *）。 - */ -export function search(query: string, options?: SearchOptions): SearchResult[] { - if (!query?.trim()) return []; - - const db = getConnection(); - const limit = options?.limit ?? 20; - const offset = options?.offset ?? 0; - const useHighlight = options?.highlight ?? true; - - const snippetFn = useHighlight - ? `snippet(fts_content, 3, '', '', '...', 64)` - : `snippet(fts_content, 3, '', '', '...', 64)`; - - const hasTableFilter = !!options?.table; - const whereClause = hasTableFilter - ? `WHERE fts_content MATCH ? AND table_name = ?` - : `WHERE fts_content MATCH ?`; - - const sql = /* sql */ ` - SELECT id, table_name, title, - ${snippetFn} as snippet, - bm25(fts_content) as rank - FROM fts_content - ${whereClause} - ORDER BY rank - LIMIT ? OFFSET ?`; - - const params: (string | number)[] = hasTableFilter - ? [query, options!.table!, limit, offset] - : [query, limit, offset]; - - try { - const rows = db.prepare(sql).all(...params) as Array<{ - id: string; table_name: string; title: string; snippet: string; rank: number; - }>; - return rows.map((r) => ({ - id: r.id, table: r.table_name, title: r.title, snippet: r.snippet, rank: r.rank, - })); - } catch (err) { - logger.error('[FTS5] Search failed', err); - return []; - } -} - -/** 批量重建全文索引（事务内先清空再逐表写入） */ -export function rebuildIndex(tables: IndexTableInput[]): void { - const db = getConnection(); - const insertStmt = db.prepare( - `INSERT INTO fts_content (id, table_name, title, content) VALUES (?, ?, ?, ?)`, - ); - - const transaction = db.transaction(() => { - db.exec(`DELETE FROM fts_content`); - for (const t of tables) { - for (const row of t.rows) { - insertStmt.run(row.id, t.name, row.title ?? '', row.content); - } - } - }); - - transaction(); - logger.info(`[FTS5] Index rebuilt for ${tables.length} table(s)`); -} +/** + * 基于 SQLite FTS5 的全文搜索引擎 + * unicode61 分词器 + BM25 排序，为笔记/闪卡/灵感等提供本地全文搜索。 + * + * @ai-context: SQLite FTS5 全文搜索封装（若可用），LIKE 搜索的升级路径。 + */ +import type Database from 'better-sqlite3'; +import { getConnection } from './sqliteService.js'; +import { logger } from '../logger.js'; + +// ================================================================ +// 类型定义 +// ================================================================ + +export interface SearchOptions { + table?: string; // 限定搜索表 + limit?: number; // 结果数量上限，默认 20 + offset?: number; // 偏移量 + highlight?: boolean; // 是否返回高亮片段 +} + +export interface SearchResult { + id: string; + table: string; + title: string; + snippet: string; // 匹配片段（高亮可选） + rank: number; // BM25 排序分数 +} + +export interface IndexTableInput { + name: string; + rows: Array<{ id: string; title?: string; content: string }>; +} + +// ================================================================ +// FTS5 虚拟表 DDL +// ================================================================ + +const FTS5_DDL = /* sql */ ` +CREATE VIRTUAL TABLE IF NOT EXISTS fts_content USING fts5( + id UNINDEXED, table_name UNINDEXED, title, content, + tokenize='unicode61 remove_diacritics 2' +);`; + +// ================================================================ +// 公共 API +// ================================================================ + +/** 创建 FTS5 虚拟表（幂等） */ +export function initializeFTS(db: Database.Database): void { + db.exec(FTS5_DDL); + logger.info('[FTS5] Full-text search virtual table initialized'); +} + +/** 索引或更新一条文档（先删后插保证幂等） */ +export function indexDocument(table: string, id: string, title: string, content: string): void { + const db = getConnection(); + db.prepare(`DELETE FROM fts_content WHERE id = ? AND table_name = ?`).run(id, table); + db.prepare(`INSERT INTO fts_content (id, table_name, title, content) VALUES (?, ?, ?, ?)`) + .run(id, table, title, content); +} + +/** 从全文索引中删除一条文档 */ +export function removeDocument(table: string, id: string): void { + getConnection() + .prepare(`DELETE FROM fts_content WHERE id = ? AND table_name = ?`) + .run(id, table); +} + +/** + * 执行全文搜索 + * + * 使用 FTS5 MATCH + BM25 排序 + snippet 高亮。 + * query 支持 FTS5 查询语法（AND、OR、NOT、前缀 *）。 + */ +export function search(query: string, options?: SearchOptions): SearchResult[] { + if (!query?.trim()) return []; + + const db = getConnection(); + const limit = options?.limit ?? 20; + const offset = options?.offset ?? 0; + const useHighlight = options?.highlight ?? true; + + const snippetFn = useHighlight + ? `snippet(fts_content, 3, '', '', '...', 64)` + : `snippet(fts_content, 3, '', '', '...', 64)`; + + const hasTableFilter = !!options?.table; + const whereClause = hasTableFilter + ? `WHERE fts_content MATCH ? AND table_name = ?` + : `WHERE fts_content MATCH ?`; + + const sql = /* sql */ ` + SELECT id, table_name, title, + ${snippetFn} as snippet, + bm25(fts_content) as rank + FROM fts_content + ${whereClause} + ORDER BY rank + LIMIT ? OFFSET ?`; + + const params: (string | number)[] = hasTableFilter + ? [query, options!.table!, limit, offset] + : [query, limit, offset]; + + try { + const rows = db.prepare(sql).all(...params) as Array<{ + id: string; table_name: string; title: string; snippet: string; rank: number; + }>; + return rows.map((r) => ({ + id: r.id, table: r.table_name, title: r.title, snippet: r.snippet, rank: r.rank, + })); + } catch (err) { + logger.error('[FTS5] Search failed', err); + return []; + } +} + +/** 批量重建全文索引（事务内先清空再逐表写入） */ +export function rebuildIndex(tables: IndexTableInput[]): void { + const db = getConnection(); + const insertStmt = db.prepare( + `INSERT INTO fts_content (id, table_name, title, content) VALUES (?, ?, ?, ?)`, + ); + + const transaction = db.transaction(() => { + db.exec(`DELETE FROM fts_content`); + for (const t of tables) { + for (const row of t.rows) { + insertStmt.run(row.id, t.name, row.title ?? '', row.content); + } + } + }); + + transaction(); + logger.info(`[FTS5] Index rebuilt for ${tables.length} table(s)`); +} diff --git a/client/electron/db/migration.ts b/client/electron/db/migration.ts index 831e49fa..d80f654b 100644 --- a/client/electron/db/migration.ts +++ b/client/electron/db/migration.ts @@ -1,196 +1,198 @@ -/** - * 数据迁移脚本（IndexedDB → SQLite） - * - * 协调模式：渲染进程读取 IndexedDB → IPC → 主进程写入 SQLite。 - * 迁移前自动备份、失败保留 IndexedDB 可重试、脚本幂等执行。 - */ - -import type Database from 'better-sqlite3'; -import { getConnection } from './sqliteService.js'; -import { logger } from '../logger.js'; - -// ================================================================ -// 类型 & 常量 -// ================================================================ - -export interface MigrationStatus { - completed: boolean; - currentTable: string; - tablesTotal: number; - tablesCompleted: number; - rowsMigrated: number; - error?: string; -} - -/** Dexie 表名 → SQLite 表名映射 */ -const TABLE_MAPPING: Array<{ dexie: string; sqlite: string }> = [ - { dexie: 'notes', sqlite: 'notes' }, - { dexie: 'noteFolders', sqlite: 'note_folders' }, - { dexie: 'flashcardDecks', sqlite: 'flashcard_decks' }, - { dexie: 'flashcards', sqlite: 'flashcards' }, - { dexie: 'flashcardReviews', sqlite: 'flashcard_reviews' }, - { dexie: 'feynmanNotes', sqlite: 'feynman_notes' }, - { dexie: 'feynmanSummaries', sqlite: 'feynman_summaries' }, - { dexie: 'feynmanWeakPoints', sqlite: 'feynman_weak_points' }, - { dexie: 'pomodoroSessions', sqlite: 'pomodoro_sessions' }, - { dexie: 'pomodoroSettings', sqlite: 'pomodoro_settings' }, - { dexie: 'appSettings', sqlite: 'app_settings' }, - { dexie: 'operationLog', sqlite: 'operation_log' }, - { dexie: 'syncConflicts', sqlite: 'sync_conflicts' }, - { dexie: 'offlineQueue', sqlite: 'offline_queue' }, - { dexie: 'studyCheckIns', sqlite: 'study_check_ins' }, - { dexie: 'achievements', sqlite: 'achievements' }, - { dexie: 'pomodoroGoals', sqlite: 'pomodoro_goals' }, - { dexie: 'windowCaptures', sqlite: 'window_captures' }, - { dexie: 'consent', sqlite: 'consent' }, - { dexie: 'userProfile', sqlite: 'user_profile' }, - { dexie: 'inspirations', sqlite: 'inspirations' }, -]; - -/** 合法的 SQLite 表名集合 */ -const VALID_SQLITE_TABLES = new Set(TABLE_MAPPING.map((m) => m.sqlite)); - -/** camelCase → snake_case */ -function toSnake(s: string): string { - return s.replace(/[A-Z]/g, (c) => `_${c.toLowerCase()}`); -} - -// ================================================================ -// 核心 -// ================================================================ - -/** 检查是否需要迁移：无 migrationComplete 标记 + SQLite 无业务数据 → 需要迁移 */ -export function needsMigration(db: Database.Database): boolean { - try { - const row = db.prepare(`SELECT value FROM app_settings WHERE "key" = 'migrationComplete'`).get() as { value: string } | undefined; - if (row?.value === 'true') return false; - const notesCount = db.prepare('SELECT COUNT(*) AS cnt FROM notes').get() as { cnt: number }; - if (notesCount.cnt > 0) return false; - return true; - } catch (err) { - logger.error('[Migration] Failed to check migration status', err); - return false; - } -} - -/** - * 导入单表数据到 SQLite（INSERT OR REPLACE） - * - * @param sqliteTable - SQLite 表名（snake_case，需在白名单内） - * @param rows - 数据行数组（camelCase keys，由渲染进程发送） - * @returns 成功插入的行数 - */ -export function importTable(sqliteTable: string, rows: Record[]): number { - if (!VALID_SQLITE_TABLES.has(sqliteTable)) { - throw new Error(`[Migration] Table "${sqliteTable}" is not in the migration whitelist`); - } - - const db = getConnection(); - if (rows.length === 0) { - logger.info(`[Migration] Table "${sqliteTable}" — 0 rows to import, skipping`); - return 0; - } - - // 构建列名（从第一行推断，camelCase → snake_case） - const cols = Object.keys(rows[0]).map(toSnake); - - const placeholders = cols.map(() => '?').join(', '); - const colList = cols.map((c) => `"${c}"`).join(', '); - const sql = `INSERT OR REPLACE INTO "${sqliteTable}" (${colList}) VALUES (${placeholders})`; - const stmt = db.prepare(sql); - - const txn = db.transaction((items: Record[]) => { - for (const item of items) { - const values = Object.keys(item).map((k) => { - const val = item[k]; - // 自动 JSON 序列化对象/数组字段 - if (val !== null && typeof val === 'object' && !(val instanceof Date)) { - return JSON.stringify(val); - } - // boolean → INTEGER - if (typeof val === 'boolean') return val ? 1 : 0; - // Date → ISO string - if (val instanceof Date) return val.toISOString(); - return val; - }); - stmt.run(...values); - } - }); - - txn(rows); - logger.info(`[Migration] Imported ${rows.length} rows into "${sqliteTable}"`); - return rows.length; -} - -/** - * 标记迁移完成 - * - * 写入 migrationComplete 标记到 app_settings + 运行 PRAGMA integrity_check - */ -export function completeMigration(db: Database.Database): { ok: boolean; integrity: string } { - const now = new Date().toISOString(); - - db.prepare( - `INSERT OR REPLACE INTO app_settings (id, "key", value, updated_at) VALUES (?, 'migrationComplete', 'true', ?)` - ).run(crypto.randomUUID(), now); - - // 运行完整性检查 - const result = db.pragma('integrity_check', { simple: true }) as string; - const ok = result === 'ok'; - - if (ok) { - logger.info('[Migration] Migration completed successfully, integrity check passed'); - } else { - logger.error(`[Migration] Integrity check failed: ${result}`); - } - - return { ok, integrity: result }; -} - -// ================================================================ -// IPC handler 注册 -// ================================================================ - -/** - * 注册迁移相关 IPC handler（在 main.ts 的 app.whenReady 中调用） - * - * 需要外部传入 safeHandle 以避免循环依赖。 - */ -export function registerMigrationHandlers( - safeHandle: (channel: string, handler: (event: Electron.IpcMainInvokeEvent, ...args: any[]) => Promise) => void, -): void { - const db = getConnection(); - - /** migration:check — 检查是否需要迁移 */ - safeHandle('migration:check', async () => { - const needed = needsMigration(db); - logger.info(`[Migration] Check result: ${needed ? 'migration needed' : 'no migration needed'}`); - return { needed, tableMapping: TABLE_MAPPING }; - }); - - /** migration:import-table — 导入单表数据 */ - safeHandle('migration:import-table', async (_event, params: { table: string; rows: Record[] }) => { - try { - const count = importTable(params.table, params.rows); - return { success: true, rowsImported: count }; - } catch (err) { - const msg = err instanceof Error ? err.message : String(err); - logger.error(`[Migration] Failed to import table "${params.table}"`, err); - return { success: false, error: msg }; - } - }); - - /** migration:complete — 标记迁移完成 */ - safeHandle('migration:complete', async () => { - try { - const result = completeMigration(db); - return { success: result.ok, integrity: result.integrity }; - } catch (err) { - const msg = err instanceof Error ? err.message : String(err); - logger.error('[Migration] Failed to complete migration', err); - return { success: false, error: msg }; - } - }); - - logger.info('[Migration] Migration IPC handlers registered'); -} +/** + * 数据迁移脚本（IndexedDB → SQLite） + * + * 协调模式：渲染进程读取 IndexedDB → IPC → 主进程写入 SQLite。 + * 迁移前自动备份、失败保留 IndexedDB 可重试、脚本幂等执行。 + * + * @ai-context: IndexedDB→SQLite 数据迁移 IPC：表映射/分批导入；safeHandle 经参数注入避免循环依赖。 + */ + +import type Database from 'better-sqlite3'; +import { getConnection } from './sqliteService.js'; +import { logger } from '../logger.js'; + +// ================================================================ +// 类型 & 常量 +// ================================================================ + +export interface MigrationStatus { + completed: boolean; + currentTable: string; + tablesTotal: number; + tablesCompleted: number; + rowsMigrated: number; + error?: string; +} + +/** Dexie 表名 → SQLite 表名映射 */ +const TABLE_MAPPING: Array<{ dexie: string; sqlite: string }> = [ + { dexie: 'notes', sqlite: 'notes' }, + { dexie: 'noteFolders', sqlite: 'note_folders' }, + { dexie: 'flashcardDecks', sqlite: 'flashcard_decks' }, + { dexie: 'flashcards', sqlite: 'flashcards' }, + { dexie: 'flashcardReviews', sqlite: 'flashcard_reviews' }, + { dexie: 'feynmanNotes', sqlite: 'feynman_notes' }, + { dexie: 'feynmanSummaries', sqlite: 'feynman_summaries' }, + { dexie: 'feynmanWeakPoints', sqlite: 'feynman_weak_points' }, + { dexie: 'pomodoroSessions', sqlite: 'pomodoro_sessions' }, + { dexie: 'pomodoroSettings', sqlite: 'pomodoro_settings' }, + { dexie: 'appSettings', sqlite: 'app_settings' }, + { dexie: 'operationLog', sqlite: 'operation_log' }, + { dexie: 'syncConflicts', sqlite: 'sync_conflicts' }, + { dexie: 'offlineQueue', sqlite: 'offline_queue' }, + { dexie: 'studyCheckIns', sqlite: 'study_check_ins' }, + { dexie: 'achievements', sqlite: 'achievements' }, + { dexie: 'pomodoroGoals', sqlite: 'pomodoro_goals' }, + { dexie: 'windowCaptures', sqlite: 'window_captures' }, + { dexie: 'consent', sqlite: 'consent' }, + { dexie: 'userProfile', sqlite: 'user_profile' }, + { dexie: 'inspirations', sqlite: 'inspirations' }, +]; + +/** 合法的 SQLite 表名集合 */ +const VALID_SQLITE_TABLES = new Set(TABLE_MAPPING.map((m) => m.sqlite)); + +/** camelCase → snake_case */ +function toSnake(s: string): string { + return s.replace(/[A-Z]/g, (c) => `_${c.toLowerCase()}`); +} + +// ================================================================ +// 核心 +// ================================================================ + +/** 检查是否需要迁移：无 migrationComplete 标记 + SQLite 无业务数据 → 需要迁移 */ +export function needsMigration(db: Database.Database): boolean { + try { + const row = db.prepare(`SELECT value FROM app_settings WHERE "key" = 'migrationComplete'`).get() as { value: string } | undefined; + if (row?.value === 'true') return false; + const notesCount = db.prepare('SELECT COUNT(*) AS cnt FROM notes').get() as { cnt: number }; + if (notesCount.cnt > 0) return false; + return true; + } catch (err) { + logger.error('[Migration] Failed to check migration status', err); + return false; + } +} + +/** + * 导入单表数据到 SQLite（INSERT OR REPLACE） + * + * @param sqliteTable - SQLite 表名（snake_case，需在白名单内） + * @param rows - 数据行数组（camelCase keys，由渲染进程发送） + * @returns 成功插入的行数 + */ +export function importTable(sqliteTable: string, rows: Record[]): number { + if (!VALID_SQLITE_TABLES.has(sqliteTable)) { + throw new Error(`[Migration] Table "${sqliteTable}" is not in the migration whitelist`); + } + + const db = getConnection(); + if (rows.length === 0) { + logger.info(`[Migration] Table "${sqliteTable}" — 0 rows to import, skipping`); + return 0; + } + + // 构建列名（从第一行推断，camelCase → snake_case） + const cols = Object.keys(rows[0]).map(toSnake); + + const placeholders = cols.map(() => '?').join(', '); + const colList = cols.map((c) => `"${c}"`).join(', '); + const sql = `INSERT OR REPLACE INTO "${sqliteTable}" (${colList}) VALUES (${placeholders})`; + const stmt = db.prepare(sql); + + const txn = db.transaction((items: Record[]) => { + for (const item of items) { + const values = Object.keys(item).map((k) => { + const val = item[k]; + // 自动 JSON 序列化对象/数组字段 + if (val !== null && typeof val === 'object' && !(val instanceof Date)) { + return JSON.stringify(val); + } + // boolean → INTEGER + if (typeof val === 'boolean') return val ? 1 : 0; + // Date → ISO string + if (val instanceof Date) return val.toISOString(); + return val; + }); + stmt.run(...values); + } + }); + + txn(rows); + logger.info(`[Migration] Imported ${rows.length} rows into "${sqliteTable}"`); + return rows.length; +} + +/** + * 标记迁移完成 + * + * 写入 migrationComplete 标记到 app_settings + 运行 PRAGMA integrity_check + */ +export function completeMigration(db: Database.Database): { ok: boolean; integrity: string } { + const now = new Date().toISOString(); + + db.prepare( + `INSERT OR REPLACE INTO app_settings (id, "key", value, updated_at) VALUES (?, 'migrationComplete', 'true', ?)` + ).run(crypto.randomUUID(), now); + + // 运行完整性检查 + const result = db.pragma('integrity_check', { simple: true }) as string; + const ok = result === 'ok'; + + if (ok) { + logger.info('[Migration] Migration completed successfully, integrity check passed'); + } else { + logger.error(`[Migration] Integrity check failed: ${result}`); + } + + return { ok, integrity: result }; +} + +// ================================================================ +// IPC handler 注册 +// ================================================================ + +/** + * 注册迁移相关 IPC handler（在 main.ts 的 app.whenReady 中调用） + * + * 需要外部传入 safeHandle 以避免循环依赖。 + */ +export function registerMigrationHandlers( + safeHandle: (channel: string, handler: (event: Electron.IpcMainInvokeEvent, ...args: Args) => Promise) => void, +): void { + const db = getConnection(); + + /** migration:check — 检查是否需要迁移 */ + safeHandle('migration:check', async () => { + const needed = needsMigration(db); + logger.info(`[Migration] Check result: ${needed ? 'migration needed' : 'no migration needed'}`); + return { needed, tableMapping: TABLE_MAPPING }; + }); + + /** migration:import-table — 导入单表数据 */ + safeHandle('migration:import-table', async (_event, params: { table: string; rows: Record[] }) => { + try { + const count = importTable(params.table, params.rows); + return { success: true, rowsImported: count }; + } catch (err) { + const msg = err instanceof Error ? err.message : String(err); + logger.error(`[Migration] Failed to import table "${params.table}"`, err); + return { success: false, error: msg }; + } + }); + + /** migration:complete — 标记迁移完成 */ + safeHandle('migration:complete', async () => { + try { + const result = completeMigration(db); + return { success: result.ok, integrity: result.integrity }; + } catch (err) { + const msg = err instanceof Error ? err.message : String(err); + logger.error('[Migration] Failed to complete migration', err); + return { success: false, error: msg }; + } + }); + + logger.info('[Migration] Migration IPC handlers registered'); +} diff --git a/client/electron/db/schema.ts b/client/electron/db/schema.ts index a477fff3..fee521b7 100644 --- a/client/electron/db/schema.ts +++ b/client/electron/db/schema.ts @@ -1,212 +1,214 @@ -/** - * SQLite Schema DDL — 全部建表语句 + 索引 + 初始化入口 - * 列类型映射: string→TEXT, number→REAL/INTEGER, boolean→INTEGER, Date→TEXT(ISO), Array/Object→TEXT(JSON) - */ -import type Database from 'better-sqlite3'; - -export const SCHEMA_VERSION = 4; - -export const SCHEMA_DDL = /* sql */ ` -CREATE TABLE IF NOT EXISTS pomodoro_sessions ( - id TEXT PRIMARY KEY, mode TEXT NOT NULL CHECK (mode IN ('class','self_study')), - subject TEXT, duration INTEGER NOT NULL CHECK (duration > 0), - actual_duration INTEGER NOT NULL CHECK (actual_duration >= 0), - completed_at TEXT NOT NULL, interrupted INTEGER NOT NULL DEFAULT 0, goal TEXT -); -CREATE TABLE IF NOT EXISTS pomodoro_settings ( - id TEXT PRIMARY KEY, work_duration INTEGER NOT NULL DEFAULT 25, - short_break_duration INTEGER NOT NULL DEFAULT 5, long_break_duration INTEGER NOT NULL DEFAULT 15, - long_break_interval INTEGER NOT NULL DEFAULT 4, auto_start_break INTEGER NOT NULL DEFAULT 0, - auto_start_work INTEGER NOT NULL DEFAULT 0, sound_enabled INTEGER NOT NULL DEFAULT 1, - notification_enabled INTEGER NOT NULL DEFAULT 1, class_duration INTEGER NOT NULL DEFAULT 45 -); -CREATE TABLE IF NOT EXISTS notes ( - id TEXT PRIMARY KEY, title TEXT NOT NULL DEFAULT '', content TEXT NOT NULL DEFAULT '', - template TEXT NOT NULL DEFAULT 'free' CHECK (template IN ('outline','cornell','mindmap','free','qa','blank','video')), - folder_id TEXT, tags TEXT NOT NULL DEFAULT '[]', created_at TEXT NOT NULL, updated_at TEXT NOT NULL, - word_count INTEGER NOT NULL DEFAULT 0, pinned INTEGER NOT NULL DEFAULT 0, video_note_type TEXT, - FOREIGN KEY (folder_id) REFERENCES note_folders(id) ON DELETE SET NULL -); -CREATE TABLE IF NOT EXISTS note_folders ( - id TEXT PRIMARY KEY, name TEXT NOT NULL, parent_id TEXT, color TEXT, - created_at TEXT NOT NULL, "order" INTEGER NOT NULL DEFAULT 0, - FOREIGN KEY (parent_id) REFERENCES note_folders(id) ON DELETE SET NULL -); -CREATE TABLE IF NOT EXISTS flashcard_decks ( - id TEXT PRIMARY KEY, name TEXT NOT NULL, description TEXT, parent_id TEXT, color TEXT, - created_at TEXT NOT NULL, updated_at TEXT NOT NULL, "order" INTEGER NOT NULL DEFAULT 0, - FOREIGN KEY (parent_id) REFERENCES flashcard_decks(id) ON DELETE SET NULL -); -CREATE TABLE IF NOT EXISTS flashcards ( - id TEXT PRIMARY KEY, deck_id TEXT NOT NULL, front TEXT NOT NULL DEFAULT '', - back TEXT NOT NULL DEFAULT '', type TEXT NOT NULL DEFAULT 'basic' CHECK (type IN ('basic','cloze','multi_choice')), - ease_factor REAL NOT NULL DEFAULT 2.5, "interval" REAL NOT NULL DEFAULT 0, - repetitions INTEGER NOT NULL DEFAULT 0, lapses INTEGER NOT NULL DEFAULT 0, - due_date TEXT NOT NULL, last_review_date TEXT, created_at TEXT NOT NULL, updated_at TEXT NOT NULL, - source_note_id TEXT, "order" INTEGER NOT NULL DEFAULT 0, - FOREIGN KEY (deck_id) REFERENCES flashcard_decks(id) ON DELETE CASCADE, - FOREIGN KEY (source_note_id) REFERENCES notes(id) ON DELETE SET NULL -); -CREATE TABLE IF NOT EXISTS flashcard_reviews ( - id TEXT PRIMARY KEY, card_id TEXT NOT NULL, deck_id TEXT NOT NULL, - rating INTEGER NOT NULL CHECK (rating BETWEEN 1 AND 4), - ease_factor_before REAL NOT NULL, ease_factor_after REAL NOT NULL, - interval_before REAL NOT NULL, interval_after REAL NOT NULL, - reviewed_at TEXT NOT NULL, time_spent REAL NOT NULL DEFAULT 0, - confidence TEXT CHECK (confidence IS NULL OR confidence IN ('low','medium','high')), - golden_error INTEGER, - FOREIGN KEY (card_id) REFERENCES flashcards(id) ON DELETE CASCADE, - FOREIGN KEY (deck_id) REFERENCES flashcard_decks(id) ON DELETE CASCADE -); -CREATE TABLE IF NOT EXISTS feynman_notes ( - id TEXT PRIMARY KEY, concept TEXT NOT NULL, explanation TEXT NOT NULL DEFAULT '', - status TEXT NOT NULL DEFAULT 'not_started' CHECK (status IN ('not_started','in_progress','completed')), - current_step INTEGER NOT NULL DEFAULT 1 CHECK (current_step BETWEEN 1 AND 4), - self_rating INTEGER CHECK (self_rating IS NULL OR self_rating BETWEEN 1 AND 5), - created_at TEXT NOT NULL, updated_at TEXT NOT NULL, completed_at TEXT -); -CREATE TABLE IF NOT EXISTS feynman_summaries ( - id TEXT PRIMARY KEY, note_id TEXT NOT NULL, summary TEXT NOT NULL DEFAULT '', - created_at TEXT NOT NULL, updated_at TEXT NOT NULL, - FOREIGN KEY (note_id) REFERENCES feynman_notes(id) ON DELETE CASCADE -); -CREATE TABLE IF NOT EXISTS feynman_weak_points ( - id TEXT PRIMARY KEY, note_id TEXT NOT NULL, text TEXT NOT NULL DEFAULT '', - position TEXT NOT NULL DEFAULT '{}', mastered INTEGER NOT NULL DEFAULT 0, created_at TEXT NOT NULL, - FOREIGN KEY (note_id) REFERENCES feynman_notes(id) ON DELETE CASCADE -); -CREATE TABLE IF NOT EXISTS operation_log ( - id TEXT PRIMARY KEY, entity_type TEXT NOT NULL, entity_id TEXT NOT NULL, - operation TEXT NOT NULL CHECK (operation IN ('create','update','delete')), - payload TEXT, created_at TEXT NOT NULL, synced INTEGER NOT NULL DEFAULT 0, - version INTEGER NOT NULL DEFAULT 0, device_id TEXT NOT NULL DEFAULT '', patch TEXT -); -CREATE TABLE IF NOT EXISTS app_settings ( - id TEXT PRIMARY KEY, "key" TEXT NOT NULL UNIQUE, value TEXT NOT NULL DEFAULT '', updated_at TEXT NOT NULL -); -CREATE TABLE IF NOT EXISTS sync_conflicts ( - id TEXT PRIMARY KEY, entity_type TEXT NOT NULL, entity_id TEXT NOT NULL, - local_data TEXT NOT NULL, remote_data TEXT NOT NULL, - local_version INTEGER NOT NULL, remote_version INTEGER NOT NULL, - status TEXT NOT NULL DEFAULT 'pending' CHECK (status IN ('pending','resolved-local','resolved-remote','resolved-manual')), - created_at TEXT NOT NULL, resolved_at TEXT -); -CREATE TABLE IF NOT EXISTS offline_queue ( - id TEXT PRIMARY KEY, entity_type TEXT NOT NULL, entity_id TEXT NOT NULL, - operation TEXT NOT NULL CHECK (operation IN ('create','update','delete')), - payload TEXT, version INTEGER NOT NULL DEFAULT 0, device_id TEXT NOT NULL DEFAULT '', - created_at TEXT NOT NULL, retry_count INTEGER NOT NULL DEFAULT 0, next_retry_at REAL -); -CREATE TABLE IF NOT EXISTS study_check_ins ( - id TEXT PRIMARY KEY, "date" TEXT NOT NULL UNIQUE, check_in_time TEXT NOT NULL, - modules_used TEXT NOT NULL DEFAULT '[]', streak_days INTEGER NOT NULL DEFAULT 0 -); -CREATE TABLE IF NOT EXISTS achievements ( - id TEXT PRIMARY KEY, "key" TEXT NOT NULL UNIQUE, title TEXT NOT NULL, - description TEXT NOT NULL DEFAULT '', icon TEXT NOT NULL DEFAULT '', unlocked_at TEXT NOT NULL -); -CREATE TABLE IF NOT EXISTS pomodoro_goals ( - id TEXT PRIMARY KEY, text TEXT NOT NULL, use_count INTEGER NOT NULL DEFAULT 0, last_used_at TEXT NOT NULL -); -CREATE TABLE IF NOT EXISTS window_captures ( - id TEXT PRIMARY KEY, note_id TEXT, target_window TEXT NOT NULL DEFAULT '', - mode TEXT NOT NULL DEFAULT 'vision' CHECK (mode IN ('vision','audio','both')), - status TEXT NOT NULL DEFAULT 'active' CHECK (status IN ('active','paused','completed')), - segments TEXT NOT NULL DEFAULT '[]', started_at TEXT NOT NULL, ended_at TEXT, total_duration REAL, - FOREIGN KEY (note_id) REFERENCES notes(id) ON DELETE SET NULL -); -CREATE TABLE IF NOT EXISTS consent ( - id TEXT PRIMARY KEY, type TEXT NOT NULL CHECK (type IN ('privacy','terms')), - version TEXT NOT NULL, accepted_at TEXT NOT NULL -); -CREATE TABLE IF NOT EXISTS user_profile ( - id TEXT PRIMARY KEY, user_id TEXT NOT NULL, email TEXT NOT NULL DEFAULT '', - display_name TEXT NOT NULL DEFAULT '', bio TEXT NOT NULL DEFAULT '', - avatar_url TEXT NOT NULL DEFAULT '', updated_at TEXT NOT NULL -); -CREATE TABLE IF NOT EXISTS inspirations ( - id TEXT PRIMARY KEY, content TEXT NOT NULL DEFAULT '', tags TEXT NOT NULL DEFAULT '{}', - tags_manually_edited INTEGER NOT NULL DEFAULT 0, created_at TEXT NOT NULL, updated_at TEXT NOT NULL, - sort_status TEXT CHECK (sort_status IS NULL OR sort_status IN ('pending','sorting','sorted','confirmed','transformed')), - sort_result TEXT -); -CREATE TABLE IF NOT EXISTS predictions ( - id TEXT PRIMARY KEY, - note_id TEXT NOT NULL, - question TEXT NOT NULL, - user_guess TEXT, - ai_answer TEXT NOT NULL, - accuracy TEXT CHECK(accuracy IN ('correct', 'partial', 'incorrect')), - difficulty INTEGER, - related_concepts TEXT, - created_at TEXT NOT NULL, - FOREIGN KEY (note_id) REFERENCES notes(id) -); -CREATE TABLE IF NOT EXISTS search_index ( - id INTEGER PRIMARY KEY AUTOINCREMENT, note_id TEXT NOT NULL, - tokens TEXT NOT NULL DEFAULT '[]', title TEXT NOT NULL DEFAULT '', - content TEXT NOT NULL DEFAULT '', updated_at REAL NOT NULL DEFAULT 0, - entity_id TEXT, entity_type TEXT, - FOREIGN KEY (note_id) REFERENCES notes(id) ON DELETE CASCADE -); --- 高频查询列索引 -CREATE INDEX IF NOT EXISTS idx_notes_folder_id ON notes(folder_id); -CREATE INDEX IF NOT EXISTS idx_flashcards_deck_id ON flashcards(deck_id); -CREATE INDEX IF NOT EXISTS idx_pomodoro_sessions_completed_at ON pomodoro_sessions(completed_at); -CREATE INDEX IF NOT EXISTS idx_flashcard_reviews_reviewed_at ON flashcard_reviews(reviewed_at); -CREATE INDEX IF NOT EXISTS idx_feynman_notes_created_at ON feynman_notes(created_at); -CREATE INDEX IF NOT EXISTS idx_predictions_note_id ON predictions(note_id); -CREATE INDEX IF NOT EXISTS idx_predictions_created_at ON predictions(created_at); -`; - -/** v3 迁移 DDL：CRDT 同步引擎元数据表（条件执行） */ -export const SCHEMA_V3_DDL = /* sql */ ` -CREATE TABLE IF NOT EXISTS crdt_docs ( - table_name TEXT PRIMARY KEY, - snapshot TEXT NOT NULL DEFAULT '', - last_heads TEXT NOT NULL DEFAULT '', - updated_at TEXT NOT NULL -); -CREATE TABLE IF NOT EXISTS crdt_changes ( - seq INTEGER PRIMARY KEY AUTOINCREMENT, - table_name TEXT NOT NULL, - entity_id TEXT NOT NULL, - changeset TEXT NOT NULL, - operation TEXT NOT NULL CHECK (operation IN ('create','update','delete')), - created_at TEXT NOT NULL -); -CREATE INDEX IF NOT EXISTS idx_crdt_changes_table_name ON crdt_changes(table_name); -`; - -/** 执行 DDL 并设置 PRAGMA user_version。幂等调用（CREATE IF NOT EXISTS）。 */ -export function initializeSchema(db: Database.Database): void { - db.exec(SCHEMA_DDL); - - // v2 迁移：FSRS-5 扩展字段（条件 ALTER TABLE，幂等） - const currentVersion = db.pragma('user_version', { simple: true }) as number; - if (currentVersion < 2) { - try { - db.exec(`ALTER TABLE flashcards ADD COLUMN stability REAL DEFAULT NULL`); - } catch { /* 列已存在 */ } - try { - db.exec(`ALTER TABLE flashcards ADD COLUMN difficulty REAL DEFAULT NULL`); - } catch { /* 列已存在 */ } - } - - // v3 迁移：CRDT 同步引擎元数据表 - if (currentVersion < 3) { - db.exec(SCHEMA_V3_DDL); - } - - // v4 迁移：search_index 表增加 entity_id 和 entity_type 列 - if (currentVersion < 4) { - try { - db.exec(`ALTER TABLE search_index ADD COLUMN entity_id TEXT`); - } catch { /* 列已存在 */ } - try { - db.exec(`ALTER TABLE search_index ADD COLUMN entity_type TEXT`); - } catch { /* 列已存在 */ } - } - - db.pragma(`user_version = ${SCHEMA_VERSION}`); -} +/** + * SQLite Schema DDL — 全部建表语句 + 索引 + 初始化入口 + * 列类型映射: string→TEXT, number→REAL/INTEGER, boolean→INTEGER, Date→TEXT(ISO), Array/Object→TEXT(JSON) + * + * @ai-context: SQLite 建表 DDL 唯一权威源——新增表需同步 dbIpcHandlers.ALLOWED_TABLES 白名单。 + */ +import type Database from 'better-sqlite3'; + +export const SCHEMA_VERSION = 4; + +export const SCHEMA_DDL = /* sql */ ` +CREATE TABLE IF NOT EXISTS pomodoro_sessions ( + id TEXT PRIMARY KEY, mode TEXT NOT NULL CHECK (mode IN ('class','self_study')), + subject TEXT, duration INTEGER NOT NULL CHECK (duration > 0), + actual_duration INTEGER NOT NULL CHECK (actual_duration >= 0), + completed_at TEXT NOT NULL, interrupted INTEGER NOT NULL DEFAULT 0, goal TEXT +); +CREATE TABLE IF NOT EXISTS pomodoro_settings ( + id TEXT PRIMARY KEY, work_duration INTEGER NOT NULL DEFAULT 25, + short_break_duration INTEGER NOT NULL DEFAULT 5, long_break_duration INTEGER NOT NULL DEFAULT 15, + long_break_interval INTEGER NOT NULL DEFAULT 4, auto_start_break INTEGER NOT NULL DEFAULT 0, + auto_start_work INTEGER NOT NULL DEFAULT 0, sound_enabled INTEGER NOT NULL DEFAULT 1, + notification_enabled INTEGER NOT NULL DEFAULT 1, class_duration INTEGER NOT NULL DEFAULT 45 +); +CREATE TABLE IF NOT EXISTS notes ( + id TEXT PRIMARY KEY, title TEXT NOT NULL DEFAULT '', content TEXT NOT NULL DEFAULT '', + template TEXT NOT NULL DEFAULT 'free' CHECK (template IN ('outline','cornell','mindmap','free','qa','blank','video')), + folder_id TEXT, tags TEXT NOT NULL DEFAULT '[]', created_at TEXT NOT NULL, updated_at TEXT NOT NULL, + word_count INTEGER NOT NULL DEFAULT 0, pinned INTEGER NOT NULL DEFAULT 0, video_note_type TEXT, + FOREIGN KEY (folder_id) REFERENCES note_folders(id) ON DELETE SET NULL +); +CREATE TABLE IF NOT EXISTS note_folders ( + id TEXT PRIMARY KEY, name TEXT NOT NULL, parent_id TEXT, color TEXT, + created_at TEXT NOT NULL, "order" INTEGER NOT NULL DEFAULT 0, + FOREIGN KEY (parent_id) REFERENCES note_folders(id) ON DELETE SET NULL +); +CREATE TABLE IF NOT EXISTS flashcard_decks ( + id TEXT PRIMARY KEY, name TEXT NOT NULL, description TEXT, parent_id TEXT, color TEXT, + created_at TEXT NOT NULL, updated_at TEXT NOT NULL, "order" INTEGER NOT NULL DEFAULT 0, + FOREIGN KEY (parent_id) REFERENCES flashcard_decks(id) ON DELETE SET NULL +); +CREATE TABLE IF NOT EXISTS flashcards ( + id TEXT PRIMARY KEY, deck_id TEXT NOT NULL, front TEXT NOT NULL DEFAULT '', + back TEXT NOT NULL DEFAULT '', type TEXT NOT NULL DEFAULT 'basic' CHECK (type IN ('basic','cloze','multi_choice')), + ease_factor REAL NOT NULL DEFAULT 2.5, "interval" REAL NOT NULL DEFAULT 0, + repetitions INTEGER NOT NULL DEFAULT 0, lapses INTEGER NOT NULL DEFAULT 0, + due_date TEXT NOT NULL, last_review_date TEXT, created_at TEXT NOT NULL, updated_at TEXT NOT NULL, + source_note_id TEXT, "order" INTEGER NOT NULL DEFAULT 0, + FOREIGN KEY (deck_id) REFERENCES flashcard_decks(id) ON DELETE CASCADE, + FOREIGN KEY (source_note_id) REFERENCES notes(id) ON DELETE SET NULL +); +CREATE TABLE IF NOT EXISTS flashcard_reviews ( + id TEXT PRIMARY KEY, card_id TEXT NOT NULL, deck_id TEXT NOT NULL, + rating INTEGER NOT NULL CHECK (rating BETWEEN 1 AND 4), + ease_factor_before REAL NOT NULL, ease_factor_after REAL NOT NULL, + interval_before REAL NOT NULL, interval_after REAL NOT NULL, + reviewed_at TEXT NOT NULL, time_spent REAL NOT NULL DEFAULT 0, + confidence TEXT CHECK (confidence IS NULL OR confidence IN ('low','medium','high')), + golden_error INTEGER, + FOREIGN KEY (card_id) REFERENCES flashcards(id) ON DELETE CASCADE, + FOREIGN KEY (deck_id) REFERENCES flashcard_decks(id) ON DELETE CASCADE +); +CREATE TABLE IF NOT EXISTS feynman_notes ( + id TEXT PRIMARY KEY, concept TEXT NOT NULL, explanation TEXT NOT NULL DEFAULT '', + status TEXT NOT NULL DEFAULT 'not_started' CHECK (status IN ('not_started','in_progress','completed')), + current_step INTEGER NOT NULL DEFAULT 1 CHECK (current_step BETWEEN 1 AND 4), + self_rating INTEGER CHECK (self_rating IS NULL OR self_rating BETWEEN 1 AND 5), + created_at TEXT NOT NULL, updated_at TEXT NOT NULL, completed_at TEXT +); +CREATE TABLE IF NOT EXISTS feynman_summaries ( + id TEXT PRIMARY KEY, note_id TEXT NOT NULL, summary TEXT NOT NULL DEFAULT '', + created_at TEXT NOT NULL, updated_at TEXT NOT NULL, + FOREIGN KEY (note_id) REFERENCES feynman_notes(id) ON DELETE CASCADE +); +CREATE TABLE IF NOT EXISTS feynman_weak_points ( + id TEXT PRIMARY KEY, note_id TEXT NOT NULL, text TEXT NOT NULL DEFAULT '', + position TEXT NOT NULL DEFAULT '{}', mastered INTEGER NOT NULL DEFAULT 0, created_at TEXT NOT NULL, + FOREIGN KEY (note_id) REFERENCES feynman_notes(id) ON DELETE CASCADE +); +CREATE TABLE IF NOT EXISTS operation_log ( + id TEXT PRIMARY KEY, entity_type TEXT NOT NULL, entity_id TEXT NOT NULL, + operation TEXT NOT NULL CHECK (operation IN ('create','update','delete')), + payload TEXT, created_at TEXT NOT NULL, synced INTEGER NOT NULL DEFAULT 0, + version INTEGER NOT NULL DEFAULT 0, device_id TEXT NOT NULL DEFAULT '', patch TEXT +); +CREATE TABLE IF NOT EXISTS app_settings ( + id TEXT PRIMARY KEY, "key" TEXT NOT NULL UNIQUE, value TEXT NOT NULL DEFAULT '', updated_at TEXT NOT NULL +); +CREATE TABLE IF NOT EXISTS sync_conflicts ( + id TEXT PRIMARY KEY, entity_type TEXT NOT NULL, entity_id TEXT NOT NULL, + local_data TEXT NOT NULL, remote_data TEXT NOT NULL, + local_version INTEGER NOT NULL, remote_version INTEGER NOT NULL, + status TEXT NOT NULL DEFAULT 'pending' CHECK (status IN ('pending','resolved-local','resolved-remote','resolved-manual')), + created_at TEXT NOT NULL, resolved_at TEXT +); +CREATE TABLE IF NOT EXISTS offline_queue ( + id TEXT PRIMARY KEY, entity_type TEXT NOT NULL, entity_id TEXT NOT NULL, + operation TEXT NOT NULL CHECK (operation IN ('create','update','delete')), + payload TEXT, version INTEGER NOT NULL DEFAULT 0, device_id TEXT NOT NULL DEFAULT '', + created_at TEXT NOT NULL, retry_count INTEGER NOT NULL DEFAULT 0, next_retry_at REAL +); +CREATE TABLE IF NOT EXISTS study_check_ins ( + id TEXT PRIMARY KEY, "date" TEXT NOT NULL UNIQUE, check_in_time TEXT NOT NULL, + modules_used TEXT NOT NULL DEFAULT '[]', streak_days INTEGER NOT NULL DEFAULT 0 +); +CREATE TABLE IF NOT EXISTS achievements ( + id TEXT PRIMARY KEY, "key" TEXT NOT NULL UNIQUE, title TEXT NOT NULL, + description TEXT NOT NULL DEFAULT '', icon TEXT NOT NULL DEFAULT '', unlocked_at TEXT NOT NULL +); +CREATE TABLE IF NOT EXISTS pomodoro_goals ( + id TEXT PRIMARY KEY, text TEXT NOT NULL, use_count INTEGER NOT NULL DEFAULT 0, last_used_at TEXT NOT NULL +); +CREATE TABLE IF NOT EXISTS window_captures ( + id TEXT PRIMARY KEY, note_id TEXT, target_window TEXT NOT NULL DEFAULT '', + mode TEXT NOT NULL DEFAULT 'vision' CHECK (mode IN ('vision','audio','both')), + status TEXT NOT NULL DEFAULT 'active' CHECK (status IN ('active','paused','completed')), + segments TEXT NOT NULL DEFAULT '[]', started_at TEXT NOT NULL, ended_at TEXT, total_duration REAL, + FOREIGN KEY (note_id) REFERENCES notes(id) ON DELETE SET NULL +); +CREATE TABLE IF NOT EXISTS consent ( + id TEXT PRIMARY KEY, type TEXT NOT NULL CHECK (type IN ('privacy','terms')), + version TEXT NOT NULL, accepted_at TEXT NOT NULL +); +CREATE TABLE IF NOT EXISTS user_profile ( + id TEXT PRIMARY KEY, user_id TEXT NOT NULL, email TEXT NOT NULL DEFAULT '', + display_name TEXT NOT NULL DEFAULT '', bio TEXT NOT NULL DEFAULT '', + avatar_url TEXT NOT NULL DEFAULT '', updated_at TEXT NOT NULL +); +CREATE TABLE IF NOT EXISTS inspirations ( + id TEXT PRIMARY KEY, content TEXT NOT NULL DEFAULT '', tags TEXT NOT NULL DEFAULT '{}', + tags_manually_edited INTEGER NOT NULL DEFAULT 0, created_at TEXT NOT NULL, updated_at TEXT NOT NULL, + sort_status TEXT CHECK (sort_status IS NULL OR sort_status IN ('pending','sorting','sorted','confirmed','transformed')), + sort_result TEXT +); +CREATE TABLE IF NOT EXISTS predictions ( + id TEXT PRIMARY KEY, + note_id TEXT NOT NULL, + question TEXT NOT NULL, + user_guess TEXT, + ai_answer TEXT NOT NULL, + accuracy TEXT CHECK(accuracy IN ('correct', 'partial', 'incorrect')), + difficulty INTEGER, + related_concepts TEXT, + created_at TEXT NOT NULL, + FOREIGN KEY (note_id) REFERENCES notes(id) +); +CREATE TABLE IF NOT EXISTS search_index ( + id INTEGER PRIMARY KEY AUTOINCREMENT, note_id TEXT NOT NULL, + tokens TEXT NOT NULL DEFAULT '[]', title TEXT NOT NULL DEFAULT '', + content TEXT NOT NULL DEFAULT '', updated_at REAL NOT NULL DEFAULT 0, + entity_id TEXT, entity_type TEXT, + FOREIGN KEY (note_id) REFERENCES notes(id) ON DELETE CASCADE +); +-- 高频查询列索引 +CREATE INDEX IF NOT EXISTS idx_notes_folder_id ON notes(folder_id); +CREATE INDEX IF NOT EXISTS idx_flashcards_deck_id ON flashcards(deck_id); +CREATE INDEX IF NOT EXISTS idx_pomodoro_sessions_completed_at ON pomodoro_sessions(completed_at); +CREATE INDEX IF NOT EXISTS idx_flashcard_reviews_reviewed_at ON flashcard_reviews(reviewed_at); +CREATE INDEX IF NOT EXISTS idx_feynman_notes_created_at ON feynman_notes(created_at); +CREATE INDEX IF NOT EXISTS idx_predictions_note_id ON predictions(note_id); +CREATE INDEX IF NOT EXISTS idx_predictions_created_at ON predictions(created_at); +`; + +/** v3 迁移 DDL：CRDT 同步引擎元数据表（条件执行） */ +export const SCHEMA_V3_DDL = /* sql */ ` +CREATE TABLE IF NOT EXISTS crdt_docs ( + table_name TEXT PRIMARY KEY, + snapshot TEXT NOT NULL DEFAULT '', + last_heads TEXT NOT NULL DEFAULT '', + updated_at TEXT NOT NULL +); +CREATE TABLE IF NOT EXISTS crdt_changes ( + seq INTEGER PRIMARY KEY AUTOINCREMENT, + table_name TEXT NOT NULL, + entity_id TEXT NOT NULL, + changeset TEXT NOT NULL, + operation TEXT NOT NULL CHECK (operation IN ('create','update','delete')), + created_at TEXT NOT NULL +); +CREATE INDEX IF NOT EXISTS idx_crdt_changes_table_name ON crdt_changes(table_name); +`; + +/** 执行 DDL 并设置 PRAGMA user_version。幂等调用（CREATE IF NOT EXISTS）。 */ +export function initializeSchema(db: Database.Database): void { + db.exec(SCHEMA_DDL); + + // v2 迁移：FSRS-5 扩展字段（条件 ALTER TABLE，幂等） + const currentVersion = db.pragma('user_version', { simple: true }) as number; + if (currentVersion < 2) { + try { + db.exec(`ALTER TABLE flashcards ADD COLUMN stability REAL DEFAULT NULL`); + } catch { /* 列已存在 */ } + try { + db.exec(`ALTER TABLE flashcards ADD COLUMN difficulty REAL DEFAULT NULL`); + } catch { /* 列已存在 */ } + } + + // v3 迁移：CRDT 同步引擎元数据表 + if (currentVersion < 3) { + db.exec(SCHEMA_V3_DDL); + } + + // v4 迁移：search_index 表增加 entity_id 和 entity_type 列 + if (currentVersion < 4) { + try { + db.exec(`ALTER TABLE search_index ADD COLUMN entity_id TEXT`); + } catch { /* 列已存在 */ } + try { + db.exec(`ALTER TABLE search_index ADD COLUMN entity_type TEXT`); + } catch { /* 列已存在 */ } + } + + db.pragma(`user_version = ${SCHEMA_VERSION}`); +} diff --git a/client/electron/db/sqliteRepository.ts b/client/electron/db/sqliteRepository.ts index cfaeba60..092c7686 100644 --- a/client/electron/db/sqliteRepository.ts +++ b/client/electron/db/sqliteRepository.ts @@ -1,195 +1,197 @@ -/** - * SQLite 通用仓库 — 实现 IRepository 接口 - * - * 在 Electron 主进程中直接调用 better-sqlite3（不走 IPC）。 - * 自动处理 camelCase ↔ snake_case 转换、JSON 序列化/反序列化、boolean ↔ INTEGER 映射。 - */ - -import type { IRepository } from '../../src/lib/storage/interfaces'; -import type Database from 'better-sqlite3'; -import { getConnection } from './sqliteService'; - -// ================================================================ -// 工具函数 -// ================================================================ - -/** camelCase → snake_case */ -function toSnake(s: string): string { - return s.replace(/[A-Z]/g, (c) => `_${c.toLowerCase()}`); -} - -/** snake_case → camelCase */ -function toCamel(s: string): string { - return s.replace(/_([a-z])/g, (_, c: string) => c.toUpperCase()); -} - -// ================================================================ -// 每张表的元数据：哪些列是 JSON / Boolean -// ================================================================ - -interface TableMeta { - jsonFields: string[]; // camelCase 字段名，值需 JSON.stringify / JSON.parse - boolFields: string[]; // camelCase 字段名，SQLite 中为 INTEGER(0/1) -} - -const TABLE_META: Record = { - notes: { jsonFields: ['tags'], boolFields: ['pinned'] }, - flashcards: { jsonFields: [], boolFields: [] }, - flashcardReviews: { jsonFields: [], boolFields: ['goldenError'] }, - feynmanWeakPoints: { jsonFields: ['position'], boolFields: ['mastered'] }, - operationLog: { jsonFields: [], boolFields: ['synced'] }, - syncConflicts: { jsonFields: [], boolFields: [] }, - offlineQueue: { jsonFields: [], boolFields: [] }, - studyCheckIns: { jsonFields: ['modulesUsed'], boolFields: [] }, - windowCaptures: { jsonFields: ['segments'], boolFields: [] }, - inspirations: { jsonFields: ['tags', 'sortResult'], boolFields: ['tagsManuallyEdited'] }, - searchIndex: { jsonFields: ['tokens'], boolFields: [] }, - pomodoroSessions: { jsonFields: [], boolFields: ['interrupted'] }, - pomodoroSettings: { jsonFields: [], boolFields: ['autoStartBreak', 'autoStartWork', 'soundEnabled', 'notificationEnabled'] }, -}; - -function getMeta(tableName: string): TableMeta { - return TABLE_META[tableName] ?? { jsonFields: [], boolFields: [] }; -} - -// ================================================================ -// 行 ↔ 实体转换 -// ================================================================ - -/** SQLite 行（snake_case keys）→ TypeScript 实体（camelCase keys） */ -function rowToEntity(row: Record, meta: TableMeta): T { - const jsonSet = new Set(meta.jsonFields); - const boolSet = new Set(meta.boolFields); - const result: Record = {}; - - for (const [snakeKey, raw] of Object.entries(row)) { - const camelKey = toCamel(snakeKey); - if (jsonSet.has(camelKey) && typeof raw === 'string') { - try { result[camelKey] = JSON.parse(raw); } catch { result[camelKey] = raw; } - } else if (boolSet.has(camelKey)) { - result[camelKey] = raw === 1 || raw === true; - } else { - result[camelKey] = raw; - } - } - return result as T; -} - -/** TypeScript 实体（camelCase keys）→ SQL 参数对象（snake_case keys） */ -function entityToRow(entity: Record, meta: TableMeta): Record { - const jsonSet = new Set(meta.jsonFields); - const boolSet = new Set(meta.boolFields); - const row: Record = {}; - - for (const [camelKey, value] of Object.entries(entity)) { - const snakeKey = toSnake(camelKey); - if (value === undefined) continue; - if (jsonSet.has(camelKey)) { - row[snakeKey] = JSON.stringify(value); - } else if (boolSet.has(camelKey)) { - row[snakeKey] = value ? 1 : 0; - } else { - row[snakeKey] = value; - } - } - return row; -} - -// ================================================================ -// SQL 安全工具 -// ================================================================ - -/** 用双引号包裹列名，防止 SQLite 保留字冲突 */ -function q(col: string): string { - return `"${col}"`; -} - -// ================================================================ -// SqliteRepository -// ================================================================ - -export default class SqliteRepository implements IRepository { - private tableName: string; - private meta: TableMeta; - - constructor(tableName: string) { - this.tableName = tableName; - this.meta = getMeta(tableName); - } - - private get db(): Database.Database { - return getConnection(); - } - - async getAll(): Promise { - const rows = this.db.prepare(`SELECT * FROM ${this.tableName}`).all() as Record[]; - return rows.map((r) => rowToEntity(r, this.meta)); - } - - async getById(id: string): Promise { - const row = this.db.prepare(`SELECT * FROM ${this.tableName} WHERE id = ?`).get(id) as - | Record - | undefined; - return row ? rowToEntity(row, this.meta) : undefined; - } - - async create(item: Omit & { id: string }): Promise { - const row = entityToRow(item as unknown as Record, this.meta); - const cols = Object.keys(row); - const placeholders = cols.map(() => '?').join(', '); - const sql = `INSERT INTO ${this.tableName} (${cols.map(q).join(', ')}) VALUES (${placeholders})`; - this.db.prepare(sql).run(...Object.values(row)); - return item.id; - } - - async update(id: string, changes: Partial): Promise { - const row = entityToRow(changes as Record, this.meta); - const entries = Object.entries(row); - if (entries.length === 0) return; - const setClauses = entries.map(([col]) => `${q(col)} = ?`).join(', '); - const sql = `UPDATE ${this.tableName} SET ${setClauses} WHERE id = ?`; - this.db.prepare(sql).run(...entries.map(([, v]) => v), id); - } - - async delete(id: string): Promise { - this.db.prepare(`DELETE FROM ${this.tableName} WHERE id = ?`).run(id); - } - - async find(predicate: (item: T) => boolean): Promise { - const all = await this.getAll(); - return all.filter(predicate); - } - - async bulkCreate(items: (Omit & { id: string })[]): Promise { - if (items.length === 0) return []; - const rows = items.map((item) => entityToRow(item as unknown as Record, this.meta)); - const cols = Object.keys(rows[0]); - const placeholders = cols.map(() => '?').join(', '); - const sql = `INSERT INTO ${this.tableName} (${cols.map(q).join(', ')}) VALUES (${placeholders})`; - const stmt = this.db.prepare(sql); - - const txn = this.db.transaction((entries: Record[]) => { - for (const entry of entries) { - stmt.run(...cols.map((c) => entry[c])); - } - }); - txn(rows); - return items.map((item) => item.id); - } - - async bulkDelete(ids: string[]): Promise { - if (ids.length === 0) return; - const placeholders = ids.map(() => '?').join(', '); - const sql = `DELETE FROM ${this.tableName} WHERE id IN (${placeholders})`; - this.db.prepare(sql).run(...ids); - } - - async count(): Promise { - const row = this.db.prepare(`SELECT COUNT(*) AS cnt FROM ${this.tableName}`).get() as { cnt: number }; - return row.cnt; - } - - async clear(): Promise { - this.db.prepare(`DELETE FROM ${this.tableName}`).run(); - } -} +/** + * SQLite 通用仓库 — 实现 IRepository 接口 + * + * 在 Electron 主进程中直接调用 better-sqlite3（不走 IPC）。 + * 自动处理 camelCase ↔ snake_case 转换、JSON 序列化/反序列化、boolean ↔ INTEGER 映射。 + * + * @ai-context: SQLite 通用仓储（泛型 CRUD），表名由调用方经白名单校验后传入。 + */ + +import type { IRepository } from '../../src/lib/storage/interfaces'; +import type Database from 'better-sqlite3'; +import { getConnection } from './sqliteService'; + +// ================================================================ +// 工具函数 +// ================================================================ + +/** camelCase → snake_case */ +function toSnake(s: string): string { + return s.replace(/[A-Z]/g, (c) => `_${c.toLowerCase()}`); +} + +/** snake_case → camelCase */ +function toCamel(s: string): string { + return s.replace(/_([a-z])/g, (_, c: string) => c.toUpperCase()); +} + +// ================================================================ +// 每张表的元数据：哪些列是 JSON / Boolean +// ================================================================ + +interface TableMeta { + jsonFields: string[]; // camelCase 字段名，值需 JSON.stringify / JSON.parse + boolFields: string[]; // camelCase 字段名，SQLite 中为 INTEGER(0/1) +} + +const TABLE_META: Record = { + notes: { jsonFields: ['tags'], boolFields: ['pinned'] }, + flashcards: { jsonFields: [], boolFields: [] }, + flashcardReviews: { jsonFields: [], boolFields: ['goldenError'] }, + feynmanWeakPoints: { jsonFields: ['position'], boolFields: ['mastered'] }, + operationLog: { jsonFields: [], boolFields: ['synced'] }, + syncConflicts: { jsonFields: [], boolFields: [] }, + offlineQueue: { jsonFields: [], boolFields: [] }, + studyCheckIns: { jsonFields: ['modulesUsed'], boolFields: [] }, + windowCaptures: { jsonFields: ['segments'], boolFields: [] }, + inspirations: { jsonFields: ['tags', 'sortResult'], boolFields: ['tagsManuallyEdited'] }, + searchIndex: { jsonFields: ['tokens'], boolFields: [] }, + pomodoroSessions: { jsonFields: [], boolFields: ['interrupted'] }, + pomodoroSettings: { jsonFields: [], boolFields: ['autoStartBreak', 'autoStartWork', 'soundEnabled', 'notificationEnabled'] }, +}; + +function getMeta(tableName: string): TableMeta { + return TABLE_META[tableName] ?? { jsonFields: [], boolFields: [] }; +} + +// ================================================================ +// 行 ↔ 实体转换 +// ================================================================ + +/** SQLite 行（snake_case keys）→ TypeScript 实体（camelCase keys） */ +function rowToEntity(row: Record, meta: TableMeta): T { + const jsonSet = new Set(meta.jsonFields); + const boolSet = new Set(meta.boolFields); + const result: Record = {}; + + for (const [snakeKey, raw] of Object.entries(row)) { + const camelKey = toCamel(snakeKey); + if (jsonSet.has(camelKey) && typeof raw === 'string') { + try { result[camelKey] = JSON.parse(raw); } catch { result[camelKey] = raw; } + } else if (boolSet.has(camelKey)) { + result[camelKey] = raw === 1 || raw === true; + } else { + result[camelKey] = raw; + } + } + return result as T; +} + +/** TypeScript 实体（camelCase keys）→ SQL 参数对象（snake_case keys） */ +function entityToRow(entity: Record, meta: TableMeta): Record { + const jsonSet = new Set(meta.jsonFields); + const boolSet = new Set(meta.boolFields); + const row: Record = {}; + + for (const [camelKey, value] of Object.entries(entity)) { + const snakeKey = toSnake(camelKey); + if (value === undefined) continue; + if (jsonSet.has(camelKey)) { + row[snakeKey] = JSON.stringify(value); + } else if (boolSet.has(camelKey)) { + row[snakeKey] = value ? 1 : 0; + } else { + row[snakeKey] = value; + } + } + return row; +} + +// ================================================================ +// SQL 安全工具 +// ================================================================ + +/** 用双引号包裹列名，防止 SQLite 保留字冲突 */ +function q(col: string): string { + return `"${col}"`; +} + +// ================================================================ +// SqliteRepository +// ================================================================ + +export default class SqliteRepository implements IRepository { + private tableName: string; + private meta: TableMeta; + + constructor(tableName: string) { + this.tableName = tableName; + this.meta = getMeta(tableName); + } + + private get db(): Database.Database { + return getConnection(); + } + + async getAll(): Promise { + const rows = this.db.prepare(`SELECT * FROM ${this.tableName}`).all() as Record[]; + return rows.map((r) => rowToEntity(r, this.meta)); + } + + async getById(id: string): Promise { + const row = this.db.prepare(`SELECT * FROM ${this.tableName} WHERE id = ?`).get(id) as + | Record + | undefined; + return row ? rowToEntity(row, this.meta) : undefined; + } + + async create(item: Omit & { id: string }): Promise { + const row = entityToRow(item as unknown as Record, this.meta); + const cols = Object.keys(row); + const placeholders = cols.map(() => '?').join(', '); + const sql = `INSERT INTO ${this.tableName} (${cols.map(q).join(', ')}) VALUES (${placeholders})`; + this.db.prepare(sql).run(...Object.values(row)); + return item.id; + } + + async update(id: string, changes: Partial): Promise { + const row = entityToRow(changes as Record, this.meta); + const entries = Object.entries(row); + if (entries.length === 0) return; + const setClauses = entries.map(([col]) => `${q(col)} = ?`).join(', '); + const sql = `UPDATE ${this.tableName} SET ${setClauses} WHERE id = ?`; + this.db.prepare(sql).run(...entries.map(([, v]) => v), id); + } + + async delete(id: string): Promise { + this.db.prepare(`DELETE FROM ${this.tableName} WHERE id = ?`).run(id); + } + + async find(predicate: (item: T) => boolean): Promise { + const all = await this.getAll(); + return all.filter(predicate); + } + + async bulkCreate(items: (Omit & { id: string })[]): Promise { + if (items.length === 0) return []; + const rows = items.map((item) => entityToRow(item as unknown as Record, this.meta)); + const cols = Object.keys(rows[0]); + const placeholders = cols.map(() => '?').join(', '); + const sql = `INSERT INTO ${this.tableName} (${cols.map(q).join(', ')}) VALUES (${placeholders})`; + const stmt = this.db.prepare(sql); + + const txn = this.db.transaction((entries: Record[]) => { + for (const entry of entries) { + stmt.run(...cols.map((c) => entry[c])); + } + }); + txn(rows); + return items.map((item) => item.id); + } + + async bulkDelete(ids: string[]): Promise { + if (ids.length === 0) return; + const placeholders = ids.map(() => '?').join(', '); + const sql = `DELETE FROM ${this.tableName} WHERE id IN (${placeholders})`; + this.db.prepare(sql).run(...ids); + } + + async count(): Promise { + const row = this.db.prepare(`SELECT COUNT(*) AS cnt FROM ${this.tableName}`).get() as { cnt: number }; + return row.cnt; + } + + async clear(): Promise { + this.db.prepare(`DELETE FROM ${this.tableName}`).run(); + } +} diff --git a/client/electron/db/sqliteService.ts b/client/electron/db/sqliteService.ts index 852c63c0..311df798 100644 --- a/client/electron/db/sqliteService.ts +++ b/client/electron/db/sqliteService.ts @@ -1,151 +1,153 @@ -/** - * SQLite 服务（单例） - * - * 管理 better-sqlite3 连接的初始化、获取与关闭。 - * 数据库文件默认存储于 Electron userData/keban.db。 - * WAL 模式 + 外键约束在初始化时自动开启。 - */ - -import Database from 'better-sqlite3'; -import { logger } from '../logger.js'; - -// ================================================================ -// 模块级状态 -// ================================================================ - -/** 单例数据库连接引用 */ -let db: Database.Database | null = null; - -/** 当前数据库文件路径（initialize 成功后记录） */ -let currentDbPath: string | null = null; - -// ================================================================ -// 公共 API -// ================================================================ - -/** - * 初始化 SQLite 连接 - * - * @param dbPath - 可选自定义数据库路径；省略时使用 `userData/keban.db` - * @returns 已初始化的 Database 实例 - * - * 幂等调用：若连接已存在则直接返回，不会重复创建。 - */ -export function initialize(dbPath?: string): Database.Database { - if (db) { - logger.info('[SQLite] Connection already initialized, returning existing instance'); - return db; - } - - const resolvedPath = dbPath; - if (!resolvedPath) { - throw new Error('[SQLite] dbPath is required — resolve the path before calling initialize()'); - } - logger.info(`[SQLite] Initializing database at: ${resolvedPath}`); - - try { - db = new Database(resolvedPath); - - // 开启 WAL 模式：提升并发读写性能，减少锁竞争 - db.pragma('journal_mode = WAL'); - logger.info('[SQLite] WAL mode enabled'); - - // 开启外键约束：保证引用完整性 - db.pragma('foreign_keys = ON'); - logger.info('[SQLite] Foreign key constraints enabled'); - - // 设置 busy timeout（5 秒），避免 WAL checkpoint 期间立即报 SQLITE_BUSY - db.pragma('busy_timeout = 5000'); - - logger.info('[SQLite] Database initialized successfully'); - currentDbPath = resolvedPath; - return db; - } catch (err) { - db = null; - logger.error('[SQLite] Failed to initialize database', err); - throw err; - } -} - -/** - * 获取已初始化的数据库连接 - * - * @throws 若尚未调用 `initialize()` 则抛出错误 - */ -export function getConnection(): Database.Database { - if (!db) { - const msg = '[SQLite] Database not initialized — call initialize() first'; - logger.error(msg); - throw new Error(msg); - } - return db; -} - -/** - * 安全关闭数据库连接 - * - * 幂等调用：连接已关闭或从未初始化时静默返回。 - */ -export function close(): void { - if (!db) { - logger.info('[SQLite] No active connection to close'); - return; - } - - try { - db.close(); - logger.info('[SQLite] Database connection closed'); - } catch (err) { - logger.error('[SQLite] Error while closing database', err); - } finally { - db = null; - currentDbPath = null; - } -} - -/** - * 获取当前数据库文件路径 - * - * @returns 已初始化时返回路径字符串，否则返回 null - */ -export function getDbPath(): string | null { - return currentDbPath; -} - -/** - * 执行 WAL checkpoint 并安全关闭连接 - * 用于路径迁移前确保所有数据已写入主数据库文件 - */ -export function checkpointAndClose(): void { - if (!db) { - logger.info('[SQLite] No active connection to checkpoint'); - return; - } - try { - logger.info('[SQLite] Performing WAL checkpoint before close...'); - db.pragma('wal_checkpoint(TRUNCATE)'); - logger.info('[SQLite] WAL checkpoint completed'); - } catch (err) { - logger.error('[SQLite] WAL checkpoint failed, proceeding with close', err); - } finally { - try { - db.close(); - logger.info('[SQLite] Database connection closed after checkpoint'); - } catch (closeErr) { - logger.error('[SQLite] Error closing database after checkpoint', closeErr); - } finally { - db = null; - currentDbPath = null; - } - } -} - -/** - * 重新初始化数据库连接到新路径 - * 先关闭现有连接，再以新路径创建新连接 - */ -export function reinitialize(newDbPath: string): Database.Database { - logger.info(`[SQLite] Reinitializing database at: ${newDbPath}`); - close(); - return initialize(newDbPath); -} +/** + * SQLite 服务（单例） + * + * 管理 better-sqlite3 连接的初始化、获取与关闭。 + * 数据库文件默认存储于 Electron userData/keban.db。 + * WAL 模式 + 外键约束在初始化时自动开启。 + * + * @ai-context: SQLite 连接生命周期（initialize/reinitialize/checkpointAndClose)；库文件 userData/keban.db 为存量数据标识，永久豁免改名。 + */ + +import Database from 'better-sqlite3'; +import { logger } from '../logger.js'; + +// ================================================================ +// 模块级状态 +// ================================================================ + +/** 单例数据库连接引用 */ +let db: Database.Database | null = null; + +/** 当前数据库文件路径（initialize 成功后记录） */ +let currentDbPath: string | null = null; + +// ================================================================ +// 公共 API +// ================================================================ + +/** + * 初始化 SQLite 连接 + * + * @param dbPath - 可选自定义数据库路径；省略时使用 `userData/keban.db` + * @returns 已初始化的 Database 实例 + * + * 幂等调用：若连接已存在则直接返回，不会重复创建。 + */ +export function initialize(dbPath?: string): Database.Database { + if (db) { + logger.info('[SQLite] Connection already initialized, returning existing instance'); + return db; + } + + const resolvedPath = dbPath; + if (!resolvedPath) { + throw new Error('[SQLite] dbPath is required — resolve the path before calling initialize()'); + } + logger.info(`[SQLite] Initializing database at: ${resolvedPath}`); + + try { + db = new Database(resolvedPath); + + // 开启 WAL 模式：提升并发读写性能，减少锁竞争 + db.pragma('journal_mode = WAL'); + logger.info('[SQLite] WAL mode enabled'); + + // 开启外键约束：保证引用完整性 + db.pragma('foreign_keys = ON'); + logger.info('[SQLite] Foreign key constraints enabled'); + + // 设置 busy timeout（5 秒），避免 WAL checkpoint 期间立即报 SQLITE_BUSY + db.pragma('busy_timeout = 5000'); + + logger.info('[SQLite] Database initialized successfully'); + currentDbPath = resolvedPath; + return db; + } catch (err) { + db = null; + logger.error('[SQLite] Failed to initialize database', err); + throw err; + } +} + +/** + * 获取已初始化的数据库连接 + * + * @throws 若尚未调用 `initialize()` 则抛出错误 + */ +export function getConnection(): Database.Database { + if (!db) { + const msg = '[SQLite] Database not initialized — call initialize() first'; + logger.error(msg); + throw new Error(msg); + } + return db; +} + +/** + * 安全关闭数据库连接 + * + * 幂等调用：连接已关闭或从未初始化时静默返回。 + */ +export function close(): void { + if (!db) { + logger.info('[SQLite] No active connection to close'); + return; + } + + try { + db.close(); + logger.info('[SQLite] Database connection closed'); + } catch (err) { + logger.error('[SQLite] Error while closing database', err); + } finally { + db = null; + currentDbPath = null; + } +} + +/** + * 获取当前数据库文件路径 + * + * @returns 已初始化时返回路径字符串，否则返回 null + */ +export function getDbPath(): string | null { + return currentDbPath; +} + +/** + * 执行 WAL checkpoint 并安全关闭连接 + * 用于路径迁移前确保所有数据已写入主数据库文件 + */ +export function checkpointAndClose(): void { + if (!db) { + logger.info('[SQLite] No active connection to checkpoint'); + return; + } + try { + logger.info('[SQLite] Performing WAL checkpoint before close...'); + db.pragma('wal_checkpoint(TRUNCATE)'); + logger.info('[SQLite] WAL checkpoint completed'); + } catch (err) { + logger.error('[SQLite] WAL checkpoint failed, proceeding with close', err); + } finally { + try { + db.close(); + logger.info('[SQLite] Database connection closed after checkpoint'); + } catch (closeErr) { + logger.error('[SQLite] Error closing database after checkpoint', closeErr); + } finally { + db = null; + currentDbPath = null; + } + } +} + +/** + * 重新初始化数据库连接到新路径 + * 先关闭现有连接，再以新路径创建新连接 + */ +export function reinitialize(newDbPath: string): Database.Database { + logger.info(`[SQLite] Reinitializing database at: ${newDbPath}`); + close(); + return initialize(newDbPath); +} diff --git a/client/electron/db/storageConfig.ts b/client/electron/db/storageConfig.ts index 6eb2168c..797d7d22 100644 --- a/client/electron/db/storageConfig.ts +++ b/client/electron/db/storageConfig.ts @@ -1,81 +1,83 @@ -/** - * 存储路径配置管理 - * - * 将自定义存储路径持久化到 userData/storage-config.json， - * 确保主进程启动时能读取用户的路径偏好。 - * 配置文件始终存放在 app.getPath('userData')，即使用户选择了自定义数据路径。 - */ - -import { app } from 'electron'; -import * as path from 'path'; -import { readFile, writeFile, access } from 'fs/promises'; -import { logger } from '../logger.js'; - -// ================================================================ -// 类型定义 -// ================================================================ - -interface StorageConfig { - customStoragePath: string | null; -} - -// ================================================================ -// 常量 -// ================================================================ - -const CONFIG_FILENAME = 'storage-config.json'; - -// ================================================================ -// 公共 API -// ================================================================ - -/** 返回配置文件完整路径 */ -export function getConfigFilePath(): string { - return path.join(app.getPath('userData'), CONFIG_FILENAME); -} - -/** 读取自定义存储路径，无配置时返回 null */ -export async function getCustomStoragePath(): Promise { - try { - const configPath = getConfigFilePath(); - try { - await access(configPath); - } catch { - return null; - } - const raw = await readFile(configPath, 'utf-8'); - const config: StorageConfig = JSON.parse(raw); - return config.customStoragePath ?? null; - } catch (err) { - logger.error('[StorageConfig] Failed to read config', err); - return null; - } -} - -/** 持久化自定义存储路径 */ -export async function saveCustomStoragePath(dirPath: string): Promise { - const configPath = getConfigFilePath(); - const config: StorageConfig = { customStoragePath: dirPath }; - await writeFile(configPath, JSON.stringify(config, null, 2), 'utf-8'); - logger.info(`[StorageConfig] Saved custom storage path: ${dirPath}`); -} - -/** 清除自定义路径配置（恢复默认） */ -export async function clearCustomStoragePath(): Promise { - const configPath = getConfigFilePath(); - const config: StorageConfig = { customStoragePath: null }; - await writeFile(configPath, JSON.stringify(config, null, 2), 'utf-8'); - logger.info('[StorageConfig] Cleared custom storage path, using default'); -} - -/** - * 解析最终数据库文件路径 - * 优先使用自定义路径，否则回退到 userData/keban.db - */ -export async function resolveDbPath(): Promise { - const customPath = await getCustomStoragePath(); - if (customPath) { - return path.join(customPath, 'keban.db'); - } - return path.join(app.getPath('userData'), 'keban.db'); -} +/** + * 存储路径配置管理 + * + * 将自定义存储路径持久化到 userData/storage-config.json， + * 确保主进程启动时能读取用户的路径偏好。 + * 配置文件始终存放在 app.getPath('userData')，即使用户选择了自定义数据路径。 + * + * @ai-context: 自定义存储路径配置持久化；resolveDbPath 回退 userData/keban.db（豁免标识）。 + */ + +import { app } from 'electron'; +import * as path from 'path'; +import { readFile, writeFile, access } from 'fs/promises'; +import { logger } from '../logger.js'; + +// ================================================================ +// 类型定义 +// ================================================================ + +interface StorageConfig { + customStoragePath: string | null; +} + +// ================================================================ +// 常量 +// ================================================================ + +const CONFIG_FILENAME = 'storage-config.json'; + +// ================================================================ +// 公共 API +// ================================================================ + +/** 返回配置文件完整路径 */ +export function getConfigFilePath(): string { + return path.join(app.getPath('userData'), CONFIG_FILENAME); +} + +/** 读取自定义存储路径，无配置时返回 null */ +export async function getCustomStoragePath(): Promise { + try { + const configPath = getConfigFilePath(); + try { + await access(configPath); + } catch { + return null; + } + const raw = await readFile(configPath, 'utf-8'); + const config: StorageConfig = JSON.parse(raw); + return config.customStoragePath ?? null; + } catch (err) { + logger.error('[StorageConfig] Failed to read config', err); + return null; + } +} + +/** 持久化自定义存储路径 */ +export async function saveCustomStoragePath(dirPath: string): Promise { + const configPath = getConfigFilePath(); + const config: StorageConfig = { customStoragePath: dirPath }; + await writeFile(configPath, JSON.stringify(config, null, 2), 'utf-8'); + logger.info(`[StorageConfig] Saved custom storage path: ${dirPath}`); +} + +/** 清除自定义路径配置（恢复默认） */ +export async function clearCustomStoragePath(): Promise { + const configPath = getConfigFilePath(); + const config: StorageConfig = { customStoragePath: null }; + await writeFile(configPath, JSON.stringify(config, null, 2), 'utf-8'); + logger.info('[StorageConfig] Cleared custom storage path, using default'); +} + +/** + * 解析最终数据库文件路径 + * 优先使用自定义路径，否则回退到 userData/keban.db + */ +export async function resolveDbPath(): Promise { + const customPath = await getCustomStoragePath(); + if (customPath) { + return path.join(customPath, 'keban.db'); + } + return path.join(app.getPath('userData'), 'keban.db'); +} diff --git a/client/electron/envLoader.ts b/client/electron/envLoader.ts new file mode 100644 index 00000000..51ad7b2f --- /dev/null +++ b/client/electron/envLoader.ts @@ -0,0 +1,91 @@ +/** + * 环境变量加载（主进程启动早期） + * + * @ai-context: 从 main.ts 拆出。开发模式读 client/.env + .env.test + * （与 Vite dev server 一致）；生产模式读 Vite 构建生成的 + * dist-electron/build-config.json（.env.production 仅用于构建阶段， + * 不打包进安装包）。系统环境变量永不被覆盖。 + * @ai-context: loadEnvironment 为显式副作用入口，仅 main.ts 启动时 + * 调用一次；本模块导入本身无副作用。 + */ +import * as path from 'path'; +import { readFileSync, existsSync } from 'fs'; +import { isDevMode } from './ai/utils.js'; + +/** + * 简易 .env 解析器：读取文件并注入 process.env + * @param overrideKeys 记录本次写入的 key，允许后续 .env. 覆盖 + */ +function loadEnvFile(filePath: string, overrideKeys: Set): void { + if (!existsSync(filePath)) return; + try { + const content = readFileSync(filePath, 'utf-8'); + for (const line of content.split('\n')) { + const trimmed = line.trim(); + if (!trimmed || trimmed.startsWith('#')) continue; + const eqIdx = trimmed.indexOf('='); + if (eqIdx === -1) continue; + const key = trimmed.slice(0, eqIdx).trim(); + let value = trimmed.slice(eqIdx + 1).trim(); + // 移除首尾引号 + if ((value.startsWith('"') && value.endsWith('"')) || (value.startsWith("'") && value.endsWith("'"))) { + value = value.slice(1, -1); + } + if (key) { + // 不覆盖系统环境变量，但允许 .env. 覆盖 .env 基础值 + if (!(key in process.env) || overrideKeys.has(key)) { + process.env[key] = value; + overrideKeys.add(key); + } + } + } + } catch { + // .env 文件加载失败不阻塞启动 + } +} + +/** + * 从 Vite 构建时生成的 build-config.json 读取环境变量 + * 该文件由 vite.config.ts 中的 electronBuildConfigPlugin 在 vite build 时生成， + * 位于 dist-electron/build-config.json，随 asar 一起打包。 + */ +function loadBuildConfig(dirname: string): void { + try { + // __dirname 在编译后为 dist-electron/electron/，build-config.json 在 dist-electron/ + const configPath = path.resolve(dirname, '..', 'build-config.json'); + if (!existsSync(configPath)) return; + const raw = readFileSync(configPath, 'utf-8'); + const config = JSON.parse(raw) as Record; + for (const [key, value] of Object.entries(config)) { + // 不覆盖系统环境变量（如 cross-env 设置的值） + if (value && !(key in process.env)) { + process.env[key] = value; + } + } + } catch { + // build-config.json 加载失败不阻塞启动 + } +} + +/** + * 按运行模式加载环境变量（main.ts 启动时调用一次） + * @param dirname 调用方的 __dirname（编译后为 dist-electron/electron/） + */ +export function loadEnvironment(dirname: string): void { + if (isDevMode()) { + // 开发模式：从 .env 文件加载（electron:dev 由 cross-env 设置 NODE_ENV=development） + // __dirname 在编译后为 dist-electron/electron/，需回退到 client/ 根目录 + const clientRoot = path.resolve(dirname, '..', '..'); + const envKeys = new Set(); + loadEnvFile(path.join(clientRoot, '.env'), envKeys); + loadEnvFile(path.join(clientRoot, '.env.test'), envKeys); + } else { + // 生产模式：从构建时生成的 build-config.json 读取（不依赖 .env 文件） + loadBuildConfig(dirname); + } + + // 仅开发模式禁用 Electron 安全警告，生产环境保留 + if (isDevMode()) { + process.env.ELECTRON_DISABLE_SECURITY_WARNINGS = 'true'; + } +} diff --git a/client/electron/ipc/channels.ts b/client/electron/ipc/channels.ts index 3fcdca11..ef2a7178 100644 --- a/client/electron/ipc/channels.ts +++ b/client/electron/ipc/channels.ts @@ -1,104 +1,106 @@ -/** - * IPC Channel 名称集中管理 - * - * 所有 Electron IPC channel 常量集中定义于此文件， - * 便于全局搜索、重构及 preload 白名单维护。 - */ -export const IPC_CHANNELS = { - // AI 相关 - AI_SUMMARIZE: 'ai_summarize', - AI_GENERATE_CARDS: 'ai_generate_cards', - AI_EVALUATE: 'ai_evaluate', - AI_RECOMMEND_DURATION: 'ai_recommend_duration', - AI_FEYNMAN_QUESTION: 'ai_feynman_question', - AI_FEYNMAN_EVALUATE_ANSWERS: 'ai_feynman_evaluate_answers', - AI_OPTIMIZE_CARD: 'ai_optimize_card', - AI_TAG_CONTENT: 'ai_tag_content', - AI_SORT_INSPIRATION: 'ai_sort_inspiration', - AI_ANCHOR_POINT: 'ai_anchor_point', - AI_SOCRATIC: 'ai_socratic', - AI_SOCRATIC_EVALUATE: 'ai_socratic_evaluate', - AI_SOCRATIC_DEEPENING: 'ai_socratic_deepening', - AI_PREDICT: 'ai_predict', - AI_RESCUE: 'ai_rescue', - AI_SET_GATEWAY_URL: 'ai:set-gateway-url', - - // 采集相关 - SCREEN_LIST_WINDOWS: 'screen_list_windows', - SCREEN_WATCH_WINDOWS_START: 'screen_watch_windows_start', - SCREEN_WATCH_WINDOWS_STOP: 'screen_watch_windows_stop', - SCREEN_WINDOWS_CHANGED: 'screen_windows_changed', - SCREEN_CAPTURE_START: 'screen_capture_start', - SCREEN_CAPTURE_STOP: 'screen_capture_stop', - SCREEN_CAPTURE_FRAME: 'screen_capture_frame', - AUDIO_LIST_SOURCES: 'audio_list_sources', - AUDIO_CAPTURE_START: 'audio_capture_start', - AUDIO_CAPTURE_STOP: 'audio_capture_stop', - AUDIO_CAPTURE_CHUNK: 'audio_capture_chunk', - AUDIO_CAPTURE_DO_START: 'audio_capture_do_start', - AUDIO_CAPTURE_DO_STOP: 'audio_capture_do_stop', - - // Path C 视频录制 - VIDEO_RECORD_START: 'video_record_start', - VIDEO_RECORD_STOP: 'video_record_stop', - VIDEO_RECORD_PAUSE: 'video_record_pause', - VIDEO_RECORD_RESUME: 'video_record_resume', - VIDEO_RECORD_STATUS: 'video_record_status', - VIDEO_RECORD_CHUNK: 'video_record_chunk', - VIDEO_RECORD_STARTED: 'video_record_started', - VIDEO_RECORD_STOPPED: 'video_record_stopped', - VIDEO_RECORD_ERROR: 'video_record_error', - VIDEO_RECORD_DO_START: 'video_record_do_start', - VIDEO_RECORD_DO_STOP: 'video_record_do_stop', - - // 文件系统 - FS_READ_FILE: 'fs:read-file', - - // 存储路径 - STORAGE_CHANGE_PATH: 'storage:change-path', - STORAGE_GET_ACTIVE_PATH: 'storage:get-active-path', - - // 数据库操作 - DB_QUERY: 'db:query', - DB_INSERT: 'db:insert', - DB_UPDATE: 'db:update', - DB_DELETE: 'db:delete', - DB_SEARCH: 'db:search', - DB_BATCH: 'db:batch', - - // 数据迁移 - MIGRATION_CHECK: 'migration:check', - MIGRATION_IMPORT_TABLE: 'migration:import-table', - MIGRATION_COMPLETE: 'migration:complete', - - // 备份 - BACKUP_SAVE: 'backup:save', - BACKUP_OPEN: 'backup:open', - - // 自动更新 - UPDATE_CHECK: 'update:check', - UPDATE_DOWNLOAD: 'update:download', - UPDATE_INSTALL: 'update:install', - UPDATE_SET_AUTO_CHECK: 'update:set-auto-check', - UPDATE_STATUS: 'update-status', - - // 窗口控制 - WINDOW_MINIMIZE: 'window:minimize', - WINDOW_MAXIMIZE: 'window:maximize', - WINDOW_CLOSE: 'window:close', - WINDOW_IS_MAXIMIZED: 'window:isMaximized', - WINDOW_CLOSE_ACTION: 'window:close-action', - WINDOW_CLOSING: 'window:closing', - WINDOW_MAXIMIZED_CHANGED: 'window:maximized-changed', - - // 系统 - APP_GET_VERSION: 'get-app-version', - GET_DEFAULT_STORAGE_PATH: 'get-default-storage-path', - DIALOG_SELECT_DIRECTORY: 'dialog:selectDirectory', - - // 同步 - SYNC_BEFORE_QUIT: 'sync:before-quit', - SYNC_QUIT_COMPLETE: 'sync:quit-complete', -} as const; - -export type IpcChannel = (typeof IPC_CHANNELS)[keyof typeof IPC_CHANNELS]; +/** + * IPC Channel 名称集中管理 + * + * 所有 Electron IPC channel 常量集中定义于此文件， + * 便于全局搜索、重构及 preload 白名单维护。 + * + * @ai-context: IPC channel 名称常量表——渲染/主进程通道契约，改名需两侧同步。 + */ +export const IPC_CHANNELS = { + // AI 相关 + AI_SUMMARIZE: 'ai_summarize', + AI_GENERATE_CARDS: 'ai_generate_cards', + AI_EVALUATE: 'ai_evaluate', + AI_RECOMMEND_DURATION: 'ai_recommend_duration', + AI_FEYNMAN_QUESTION: 'ai_feynman_question', + AI_FEYNMAN_EVALUATE_ANSWERS: 'ai_feynman_evaluate_answers', + AI_OPTIMIZE_CARD: 'ai_optimize_card', + AI_TAG_CONTENT: 'ai_tag_content', + AI_SORT_INSPIRATION: 'ai_sort_inspiration', + AI_ANCHOR_POINT: 'ai_anchor_point', + AI_SOCRATIC: 'ai_socratic', + AI_SOCRATIC_EVALUATE: 'ai_socratic_evaluate', + AI_SOCRATIC_DEEPENING: 'ai_socratic_deepening', + AI_PREDICT: 'ai_predict', + AI_RESCUE: 'ai_rescue', + AI_SET_GATEWAY_URL: 'ai:set-gateway-url', + + // 采集相关 + SCREEN_LIST_WINDOWS: 'screen_list_windows', + SCREEN_WATCH_WINDOWS_START: 'screen_watch_windows_start', + SCREEN_WATCH_WINDOWS_STOP: 'screen_watch_windows_stop', + SCREEN_WINDOWS_CHANGED: 'screen_windows_changed', + SCREEN_CAPTURE_START: 'screen_capture_start', + SCREEN_CAPTURE_STOP: 'screen_capture_stop', + SCREEN_CAPTURE_FRAME: 'screen_capture_frame', + AUDIO_LIST_SOURCES: 'audio_list_sources', + AUDIO_CAPTURE_START: 'audio_capture_start', + AUDIO_CAPTURE_STOP: 'audio_capture_stop', + AUDIO_CAPTURE_CHUNK: 'audio_capture_chunk', + AUDIO_CAPTURE_DO_START: 'audio_capture_do_start', + AUDIO_CAPTURE_DO_STOP: 'audio_capture_do_stop', + + // Path C 视频录制 + VIDEO_RECORD_START: 'video_record_start', + VIDEO_RECORD_STOP: 'video_record_stop', + VIDEO_RECORD_PAUSE: 'video_record_pause', + VIDEO_RECORD_RESUME: 'video_record_resume', + VIDEO_RECORD_STATUS: 'video_record_status', + VIDEO_RECORD_CHUNK: 'video_record_chunk', + VIDEO_RECORD_STARTED: 'video_record_started', + VIDEO_RECORD_STOPPED: 'video_record_stopped', + VIDEO_RECORD_ERROR: 'video_record_error', + VIDEO_RECORD_DO_START: 'video_record_do_start', + VIDEO_RECORD_DO_STOP: 'video_record_do_stop', + + // 文件系统 + FS_READ_FILE: 'fs:read-file', + + // 存储路径 + STORAGE_CHANGE_PATH: 'storage:change-path', + STORAGE_GET_ACTIVE_PATH: 'storage:get-active-path', + + // 数据库操作 + DB_QUERY: 'db:query', + DB_INSERT: 'db:insert', + DB_UPDATE: 'db:update', + DB_DELETE: 'db:delete', + DB_SEARCH: 'db:search', + DB_BATCH: 'db:batch', + + // 数据迁移 + MIGRATION_CHECK: 'migration:check', + MIGRATION_IMPORT_TABLE: 'migration:import-table', + MIGRATION_COMPLETE: 'migration:complete', + + // 备份 + BACKUP_SAVE: 'backup:save', + BACKUP_OPEN: 'backup:open', + + // 自动更新 + UPDATE_CHECK: 'update:check', + UPDATE_DOWNLOAD: 'update:download', + UPDATE_INSTALL: 'update:install', + UPDATE_SET_AUTO_CHECK: 'update:set-auto-check', + UPDATE_STATUS: 'update-status', + + // 窗口控制 + WINDOW_MINIMIZE: 'window:minimize', + WINDOW_MAXIMIZE: 'window:maximize', + WINDOW_CLOSE: 'window:close', + WINDOW_IS_MAXIMIZED: 'window:isMaximized', + WINDOW_CLOSE_ACTION: 'window:close-action', + WINDOW_CLOSING: 'window:closing', + WINDOW_MAXIMIZED_CHANGED: 'window:maximized-changed', + + // 系统 + APP_GET_VERSION: 'get-app-version', + GET_DEFAULT_STORAGE_PATH: 'get-default-storage-path', + DIALOG_SELECT_DIRECTORY: 'dialog:selectDirectory', + + // 同步 + SYNC_BEFORE_QUIT: 'sync:before-quit', + SYNC_QUIT_COMPLETE: 'sync:quit-complete', +} as const; + +export type IpcChannel = (typeof IPC_CHANNELS)[keyof typeof IPC_CHANNELS]; diff --git a/client/electron/ipcUtils.ts b/client/electron/ipcUtils.ts index 7bd0653c..8cef3021 100644 --- a/client/electron/ipcUtils.ts +++ b/client/electron/ipcUtils.ts @@ -1,141 +1,141 @@ -/** - * IPC 安全注册工具 - * - * 在注册新 handler 前先 removeHandler，确保幂等注册， - * 防止 macOS activate 事件导致 createWindow() 被多次调用时 - * 触发 "Attempted to register a second handler" 崩溃。 - * - * SEC-005: 新增 IPC sender 验证机制，仅允许主窗口的 webContents - * 调用已注册的 IPC handler，防止恶意渲染进程注入调用。 - * - * @ai-context Electron 主进程 IPC 安全加固 - */ - -import { ipcMain } from 'electron'; -import { logger } from './logger.js'; - -// ================================================================ -// 主窗口 webContents ID 管理（SEC-005） -// ================================================================ - -/** 主窗口 webContents.id，用于 IPC sender 验证；null 表示未设置（跳过验证） */ -let mainWindowWebContentsId: number | null = null; - -/** - * 设置主窗口 webContents.id，用于 IPC sender 验证。 - * 应在 main.ts 中创建主窗口后立即调用。 - * - * @param id - 主窗口 webContents.id - * @ai-context main.ts 在 app.whenReady() 中调用 - */ -export function setMainWindowId(id: number): void { - mainWindowWebContentsId = id; - logger.info(`[IPC] Main window ID set: ${id}`); -} - -/** - * 获取当前主窗口 webContents.id。 - * - * @returns 主窗口 webContents.id，未设置时返回 null - * @ai-context 用于调试或外部模块查询 - */ -export function getMainWindowId(): number | null { - return mainWindowWebContentsId; -} - -// ================================================================ -// 类型安全 handler 签名 -// ================================================================ - -/** - * 支持类型安全的 handler 签名： - * 允许 handler 声明具体参数类型，内部通过断言适配 ipcMain.handle 的 unknown[] 签名。 - */ -// eslint-disable-next-line @typescript-eslint/no-explicit-any -type TypedHandler = ( - event: Electron.IpcMainInvokeEvent, - ...args: T -) => Promise; - -// ================================================================ -// 安全注册 -// ================================================================ - -/** - * 幂等注册 IPC handler，并可选启用 sender 验证。 - * - * - 注册前先 removeHandler，防止重复注册崩溃。 - * - 若已调用 setMainWindowId，则执行 sender 验证： - * 不匹配的 sender 将被拒绝并记录告警日志。 - * - 若 mainWindowId 未设置（null），则跳过验证（开发容错）。 - * - * @param channel - IPC 频道名称 - * @param handler - 处理函数 - * @ai-context main.ts 中所有 safeHandle 调用均经过此函数 - */ -export function safeHandle( - channel: string, - handler: TypedHandler, -): void { - ipcMain.removeHandler(channel); - - // 包装 handler 以执行 sender 验证 - // eslint-disable-next-line @typescript-eslint/no-explicit-any - const wrappedHandler = async (event: Electron.IpcMainInvokeEvent, ...args: any[]): Promise => { - // sender 验证：仅允许主窗口 webContents 调用 - if (mainWindowWebContentsId !== null && event.sender.id !== mainWindowWebContentsId) { - logger.warn( - `[IPC] Sender verification failed for channel "${channel}": ` + - `expected sender.id=${mainWindowWebContentsId}, got ${event.sender.id}` - ); - throw new Error(`IPC sender verification failed for channel: ${channel}`); - } - - return handler(event, ...args as T); - }; - - ipcMain.handle(channel, wrappedHandler as any); -} - -// ================================================================ -// IPC 消息批量化（渲染进程侧防抖工具） -// ================================================================ - -/** - * IPC 消息防抖：相同 channel 的连续调用在一帧内合并为最后一次请求。 - * - * 适用于渲染进程频繁触发的 IPC 调用（如窗口 resize 事件、输入状态同步等）， - * 通过 queueMicrotask 将同一事件循环内的多次调用合并为最后一次。 - * - * @param channel - IPC 频道名称 - * @param handler - 实际处理函数（仅处理最后一次请求的参数） - * @ai-context 用于高频 IPC 场景（如滚动位置同步、窗口状态更新） - */ -export function safeHandleBatched( - channel: string, - handler: TypedHandler, -): void { - let pendingArgs: { event: Electron.IpcMainInvokeEvent; args: T } | null = null; - let scheduled = false; - - const batchedHandler: TypedHandler = (event, ...args) => { - pendingArgs = { event, args }; - - if (!scheduled) { - scheduled = true; - queueMicrotask(async () => { - scheduled = false; - if (pendingArgs) { - const { event: ev, args: a } = pendingArgs; - pendingArgs = null; - return handler(ev, ...a); - } - }); - } - - // 返回一个 resolved promise（批量化场景调用方不依赖即时返回值） - return Promise.resolve(undefined); - }; - - safeHandle(channel, batchedHandler); -} +/** + * IPC 安全注册工具 + * + * 在注册新 handler 前先 removeHandler，确保幂等注册， + * 防止 macOS activate 事件导致 createWindow() 被多次调用时 + * 触发 "Attempted to register a second handler" 崩溃。 + * + * SEC-005: 新增 IPC sender 验证机制，仅允许主窗口的 webContents + * 调用已注册的 IPC handler，防止恶意渲染进程注入调用。 + * + * @ai-context Electron 主进程 IPC 安全加固 + */ + +import { ipcMain } from 'electron'; +import { logger } from './logger.js'; + +// ================================================================ +// 主窗口 webContents ID 管理（SEC-005） +// ================================================================ + +/** 主窗口 webContents.id，用于 IPC sender 验证；null 表示未设置（跳过验证） */ +let mainWindowWebContentsId: number | null = null; + +/** + * 设置主窗口 webContents.id，用于 IPC sender 验证。 + * 应在 main.ts 中创建主窗口后立即调用。 + * + * @param id - 主窗口 webContents.id + * @ai-context main.ts 在 app.whenReady() 中调用 + */ +export function setMainWindowId(id: number): void { + mainWindowWebContentsId = id; + logger.info(`[IPC] Main window ID set: ${id}`); +} + +/** + * 获取当前主窗口 webContents.id。 + * + * @returns 主窗口 webContents.id，未设置时返回 null + * @ai-context 用于调试或外部模块查询 + */ +export function getMainWindowId(): number | null { + return mainWindowWebContentsId; +} + +// ================================================================ +// 类型安全 handler 签名 +// ================================================================ + +/** + * 支持类型安全的 handler 签名： + * 允许 handler 声明具体参数类型，内部通过断言适配 ipcMain.handle 的 unknown[] 签名。 + */ +// eslint-disable-next-line @typescript-eslint/no-explicit-any +type TypedHandler = ( + event: Electron.IpcMainInvokeEvent, + ...args: T +) => Promise; + +// ================================================================ +// 安全注册 +// ================================================================ + +/** + * 幂等注册 IPC handler，并可选启用 sender 验证。 + * + * - 注册前先 removeHandler，防止重复注册崩溃。 + * - 若已调用 setMainWindowId，则执行 sender 验证： + * 不匹配的 sender 将被拒绝并记录告警日志。 + * - 若 mainWindowId 未设置（null），则跳过验证（开发容错）。 + * + * @param channel - IPC 频道名称 + * @param handler - 处理函数 + * @ai-context main.ts 中所有 safeHandle 调用均经过此函数 + */ +export function safeHandle( + channel: string, + handler: TypedHandler, +): void { + ipcMain.removeHandler(channel); + + // 包装 handler 以执行 sender 验证 + // eslint-disable-next-line @typescript-eslint/no-explicit-any + const wrappedHandler = async (event: Electron.IpcMainInvokeEvent, ...args: unknown[]): Promise => { + // sender 验证：仅允许主窗口 webContents 调用 + if (mainWindowWebContentsId !== null && event.sender.id !== mainWindowWebContentsId) { + logger.warn( + `[IPC] Sender verification failed for channel "${channel}": ` + + `expected sender.id=${mainWindowWebContentsId}, got ${event.sender.id}` + ); + throw new Error(`IPC sender verification failed for channel: ${channel}`); + } + + return handler(event, ...args as T); + }; + + ipcMain.handle(channel, wrappedHandler as Parameters[1]); +} + +// ================================================================ +// IPC 消息批量化（渲染进程侧防抖工具） +// ================================================================ + +/** + * IPC 消息防抖：相同 channel 的连续调用在一帧内合并为最后一次请求。 + * + * 适用于渲染进程频繁触发的 IPC 调用（如窗口 resize 事件、输入状态同步等）， + * 通过 queueMicrotask 将同一事件循环内的多次调用合并为最后一次。 + * + * @param channel - IPC 频道名称 + * @param handler - 实际处理函数（仅处理最后一次请求的参数） + * @ai-context 用于高频 IPC 场景（如滚动位置同步、窗口状态更新） + */ +export function safeHandleBatched( + channel: string, + handler: TypedHandler, +): void { + let pendingArgs: { event: Electron.IpcMainInvokeEvent; args: T } | null = null; + let scheduled = false; + + const batchedHandler: TypedHandler = (event, ...args) => { + pendingArgs = { event, args }; + + if (!scheduled) { + scheduled = true; + queueMicrotask(async () => { + scheduled = false; + if (pendingArgs) { + const { event: ev, args: a } = pendingArgs; + pendingArgs = null; + return handler(ev, ...a); + } + }); + } + + // 返回一个 resolved promise（批量化场景调用方不依赖即时返回值） + return Promise.resolve(undefined); + }; + + safeHandle(channel, batchedHandler); +} diff --git a/client/electron/logger.ts b/client/electron/logger.ts index fb81de89..375930d3 100644 --- a/client/electron/logger.ts +++ b/client/electron/logger.ts @@ -1,118 +1,120 @@ -/** - * 文件日志模块 - * - * 将应用日志写入 userData/logs/ 目录，每次启动生成独立日志文件。 - * 提供 info / warn / error / crash 四个级别，crash 额外记录进程状态。 - * fs 写入失败时静默降级到 console.error。 - */ - -import { app } from 'electron'; -import * as fs from 'fs'; -import { mkdir } from 'fs/promises'; -import * as path from 'path'; - -class Logger { - private stream: fs.WriteStream | null = null; - private initialized = false; - - /** 初始化日志目录和文件流（异步，需在 app ready 后调用） */ - async initLogger(): Promise { - if (this.initialized) return; - this.initialized = true; - - try { - const logsDir = path.join(app.getPath('userData'), 'logs'); - await mkdir(logsDir, { recursive: true }); - - const timestamp = new Date().toISOString().replace(/[:.]/g, '-'); - const logFile = path.join(logsDir, `app-${timestamp}.log`); - this.stream = fs.createWriteStream(logFile, { flags: 'a' }); - this.stream.write(`# KeBan log started at ${new Date().toISOString()}\n`); - } catch (err) { - console.error('[Logger] Failed to initialize file logger:', err); - this.stream = null; - } - } - - /** 同步降级：若尚未初始化则跳过文件写入，仅输出控制台 */ - private ensureInit(): void { - // 初始化已由 initLogger() 异步完成，此处仅做安全守卫 - if (!this.initialized) { - console.warn('[Logger] Logger not yet initialized, file output skipped'); - } - } - - private write(level: string, message: string, extra?: string): void { - this.ensureInit(); - const ts = new Date().toISOString(); - const line = `[${ts}] [${level}] ${message}\n`; - const fullLine = extra ? `${line}${extra}\n` : line; - - // 始终输出到控制台 - if (level === 'ERROR' || level === 'CRASH') { - console.error(fullLine.trimEnd()); - } else if (level === 'WARN') { - console.warn(fullLine.trimEnd()); - } else if (level === 'DEBUG') { - console.debug(fullLine.trimEnd()); - } else { - console.log(fullLine.trimEnd()); - } - - // 写入文件（失败时静默降级） - if (this.stream) { - try { - this.stream.write(fullLine); - } catch { - // 静默降级 - } - } - } - - debug(msg: string): void { - this.write('DEBUG', msg); - } - - info(msg: string): void { - this.write('INFO', msg); - } - - warn(msg: string): void { - this.write('WARN', msg); - } - - error(msg: string, error?: unknown): void { - const extra = error instanceof Error ? error.stack ?? '' : error ? String(error) : undefined; - this.write('ERROR', msg, extra); - } - - /** 严重错误：除错误信息外还记录进程状态快照 */ - crash(msg: string, error?: unknown): void { - const parts: string[] = []; - - if (error instanceof Error) { - parts.push(error.stack ?? error.message); - } else if (error) { - parts.push(String(error)); - } - - try { - const mem = process.memoryUsage(); - parts.push( - `--- Process State ---`, - `pid: ${process.pid}`, - `uptime: ${process.uptime()}s`, - `memory: rss=${Math.round(mem.rss / 1048576)}MB heap=${Math.round(mem.heapUsed / 1048576)}/${Math.round(mem.heapTotal / 1048576)}MB`, - `electron: ${process.versions.electron ?? 'N/A'}`, - `node: ${process.versions.node}`, - `platform: ${process.platform} ${process.arch}`, - ); - } catch { - parts.push('--- Process State: unavailable ---'); - } - - this.write('CRASH', msg, parts.join('\n')); - } -} - -export const logger = new Logger(); +/** + * 文件日志模块 + * + * 将应用日志写入 userData/logs/ 目录，每次启动生成独立日志文件。 + * 提供 info / warn / error / crash 四个级别，crash 额外记录进程状态。 + * fs 写入失败时静默降级到 console.error。 + * + * @ai-context: 主进程日志系统（文件流 + 控制台），crash 级别写独立崩溃日志；initLogger 须在 app ready 后调用。 + */ + +import { app } from 'electron'; +import * as fs from 'fs'; +import { mkdir } from 'fs/promises'; +import * as path from 'path'; + +class Logger { + private stream: fs.WriteStream | null = null; + private initialized = false; + + /** 初始化日志目录和文件流（异步，需在 app ready 后调用） */ + async initLogger(): Promise { + if (this.initialized) return; + this.initialized = true; + + try { + const logsDir = path.join(app.getPath('userData'), 'logs'); + await mkdir(logsDir, { recursive: true }); + + const timestamp = new Date().toISOString().replace(/[:.]/g, '-'); + const logFile = path.join(logsDir, `app-${timestamp}.log`); + this.stream = fs.createWriteStream(logFile, { flags: 'a' }); + this.stream.write(`# EntropyDecrease log started at ${new Date().toISOString()}\n`); + } catch (err) { + console.error('[Logger] Failed to initialize file logger:', err); + this.stream = null; + } + } + + /** 同步降级：若尚未初始化则跳过文件写入，仅输出控制台 */ + private ensureInit(): void { + // 初始化已由 initLogger() 异步完成，此处仅做安全守卫 + if (!this.initialized) { + console.warn('[Logger] Logger not yet initialized, file output skipped'); + } + } + + private write(level: string, message: string, extra?: string): void { + this.ensureInit(); + const ts = new Date().toISOString(); + const line = `[${ts}] [${level}] ${message}\n`; + const fullLine = extra ? `${line}${extra}\n` : line; + + // 始终输出到控制台 + if (level === 'ERROR' || level === 'CRASH') { + console.error(fullLine.trimEnd()); + } else if (level === 'WARN') { + console.warn(fullLine.trimEnd()); + } else if (level === 'DEBUG') { + console.debug(fullLine.trimEnd()); + } else { + console.log(fullLine.trimEnd()); + } + + // 写入文件（失败时静默降级） + if (this.stream) { + try { + this.stream.write(fullLine); + } catch { + // 静默降级 + } + } + } + + debug(msg: string): void { + this.write('DEBUG', msg); + } + + info(msg: string): void { + this.write('INFO', msg); + } + + warn(msg: string): void { + this.write('WARN', msg); + } + + error(msg: string, error?: unknown): void { + const extra = error instanceof Error ? error.stack ?? '' : error ? String(error) : undefined; + this.write('ERROR', msg, extra); + } + + /** 严重错误：除错误信息外还记录进程状态快照 */ + crash(msg: string, error?: unknown): void { + const parts: string[] = []; + + if (error instanceof Error) { + parts.push(error.stack ?? error.message); + } else if (error) { + parts.push(String(error)); + } + + try { + const mem = process.memoryUsage(); + parts.push( + `--- Process State ---`, + `pid: ${process.pid}`, + `uptime: ${process.uptime()}s`, + `memory: rss=${Math.round(mem.rss / 1048576)}MB heap=${Math.round(mem.heapUsed / 1048576)}/${Math.round(mem.heapTotal / 1048576)}MB`, + `electron: ${process.versions.electron ?? 'N/A'}`, + `node: ${process.versions.node}`, + `platform: ${process.platform} ${process.arch}`, + ); + } catch { + parts.push('--- Process State: unavailable ---'); + } + + this.write('CRASH', msg, parts.join('\n')); + } +} + +export const logger = new Logger(); diff --git a/client/electron/main.ts b/client/electron/main.ts index 86b015e0..96e7fe66 100644 --- a/client/electron/main.ts +++ b/client/electron/main.ts @@ -1,717 +1,278 @@ -/** - * Electron 主进程入口 - * - * 应用生命周期管理、单实例锁、IPC handler 注册。 - * 窗口创建 → windowManager.ts - * 托盘管理 → trayManager.ts - * AI 网关代理 → ai/index.ts + ai/handlers/*.ts - * 截图/音频采集 → captureHandlers.ts - */ - -import { app, BrowserWindow, Menu, dialog, session } from 'electron'; -import * as path from 'path'; -import { writeFile, readFile } from 'fs/promises'; -import { readFileSync, existsSync } from 'fs'; -import { safeHandle, setMainWindowId } from './ipcUtils.js'; -import { logger } from './logger.js'; -import { registerAIHandlers, initAIModule } from './ai/index.js'; -import { loadPersistedGatewayUrl, setRuntimeGatewayUrl, gatewayUrl, isDevMode } from './ai/utils.js'; -import { initAutoUpdater, checkForUpdate, downloadUpdate, installUpdate, destroyAutoUpdater, setAutoCheckEnabled } from './updater.js'; -import { createMainWindow, saveCloseChoice, completeSyncBeforeQuit } from './windowManager.js'; -import { destroyTray } from './trayManager.js'; -import { registerCaptureHandlers, disposeCaptureHandlers } from './captureHandlers.js'; -import { mcpManager } from './mcpManager.js'; -import { initialize, getConnection, close as closeDb, checkpointAndClose, reinitialize, getDbPath } from './db/sqliteService.js'; -import { initializeSchema } from './db/schema.js'; -import { saveCustomStoragePath, resolveDbPath } from './db/storageConfig.js'; -import { migrateDatabaseFiles, verifyDatabaseIntegrity, createBackup } from './db/dbFileMigrator.js'; -import SqliteRepository from './db/sqliteRepository.js'; -import { registerMigrationHandlers } from './db/migration.js'; - -// ================================================================ -// 性能优化：启用 GPU 光栅化与零拷贝 -// ================================================================ -app.commandLine.appendSwitch('enable-gpu-rasterization'); -app.commandLine.appendSwitch('enable-zero-copy'); -app.commandLine.appendSwitch('enable-features', 'WebGLDraftExtensions,SharedArrayBuffer'); - -// Windows: ANGLE + Direct3D 11 -// 注意：值必须是 'd3d11'，曾误写为 'gl' 导致 ANGLE 被锁定 OpenGL 后端， -// 引发 WEBGL_lose_context 缺失、上下文异常及渲染卡顿 -if (process.platform === 'win32') { - app.commandLine.appendSwitch('use-angle', 'd3d11'); -} - -// macOS: Metal -if (process.platform === 'darwin') { - app.commandLine.appendSwitch('enable-metal', '1'); -} - -// ================================================================ -// 环境变量加载 -// ================================================================ -// 开发模式：从 .env 文件加载（与 Vite dev server 保持一致） -// 生产模式：从 Vite 构建时生成的 build-config.json 读取 -// （.env.production 仅用于 Vite 构建阶段，不打包进安装包） -// ================================================================ - -/** - * 简易 .env 解析器：读取文件并注入 process.env - * @param overrideKeys 记录本次写入的 key，允许后续 .env. 覆盖 - */ -function loadEnvFile(filePath: string, overrideKeys: Set): void { - if (!existsSync(filePath)) return; - try { - const content = readFileSync(filePath, 'utf-8'); - for (const line of content.split('\n')) { - const trimmed = line.trim(); - if (!trimmed || trimmed.startsWith('#')) continue; - const eqIdx = trimmed.indexOf('='); - if (eqIdx === -1) continue; - const key = trimmed.slice(0, eqIdx).trim(); - let value = trimmed.slice(eqIdx + 1).trim(); - // 移除首尾引号 - if ((value.startsWith('"') && value.endsWith('"')) || (value.startsWith("'") && value.endsWith("'"))) { - value = value.slice(1, -1); - } - if (key) { - // 不覆盖系统环境变量，但允许 .env. 覆盖 .env 基础值 - if (!(key in process.env) || overrideKeys.has(key)) { - process.env[key] = value; - overrideKeys.add(key); - } - } - } - } catch { - // .env 文件加载失败不阻塞启动 - } -} - -/** - * 从 Vite 构建时生成的 build-config.json 读取环境变量 - * 该文件由 vite.config.ts 中的 electronBuildConfigPlugin 在 vite build 时生成， - * 位于 dist-electron/build-config.json，随 asar 一起打包。 - */ -function loadBuildConfig(): void { - try { - // __dirname 在编译后为 dist-electron/electron/，build-config.json 在 dist-electron/ - const configPath = path.resolve(__dirname, '..', 'build-config.json'); - if (!existsSync(configPath)) return; - const raw = readFileSync(configPath, 'utf-8'); - const config = JSON.parse(raw) as Record; - for (const [key, value] of Object.entries(config)) { - // 不覆盖系统环境变量（如 cross-env 设置的值） - if (value && !(key in process.env)) { - process.env[key] = value; - } - } - } catch { - // build-config.json 加载失败不阻塞启动 - } -} - -if (isDevMode()) { - // 开发模式：从 .env 文件加载（electron:dev 由 cross-env 设置 NODE_ENV=development） - // __dirname 在编译后为 dist-electron/electron/，需回退到 client/ 根目录 - const clientRoot = path.resolve(__dirname, '..', '..'); - const envKeys = new Set(); - loadEnvFile(path.join(clientRoot, '.env'), envKeys); - loadEnvFile(path.join(clientRoot, '.env.test'), envKeys); -} else { - // 生产模式：从构建时生成的 build-config.json 读取（不依赖 .env 文件） - loadBuildConfig(); -} - -// 仅开发模式禁用 Electron 安全警告，生产环境保留 -if (isDevMode()) { - process.env.ELECTRON_DISABLE_SECURITY_WARNINGS = 'true'; -} - -// ================================================================ -// 模块级状态 -// ================================================================ - -/** 标记应用是否正在退出（区分"最小化到托盘"与"真正退出"） */ -const isQuittingRef = { value: false }; - -/** v1.1.0: 存储路径切换互斥锁 */ -let isChangingPath = false; - -/** 主窗口引用 */ -let mainWindow: BrowserWindow | null = null; - -// ================================================================ -// 退出辅助 -// ================================================================ - -/** 确认退出应用 */ -function performQuit(): void { - isQuittingRef.value = true; - app.quit(); -} - -// ================================================================ -// 单实例锁 — 防止重复启动导致多个后台进程 -// ================================================================ - -const gotTheLock = app.requestSingleInstanceLock(); - -if (!gotTheLock) { - app.quit(); -} else { - app.on('second-instance', () => { - const win = BrowserWindow.getAllWindows()[0]; - if (win) { - if (win.isMinimized()) win.restore(); - if (!win.isVisible()) win.show(); - win.focus(); - } - }); - - // ================================================================ - // 应用生命周期 - // ================================================================ - - process.on('uncaughtException', (error) => { - logger.crash('Uncaught Exception', error); - }); - - process.on('unhandledRejection', (reason) => { - const error = reason instanceof Error ? reason : new Error(String(reason)); - logger.crash('Unhandled Rejection', error); - }); - - app.whenReady().then(async () => { - // 异步初始化日志系统（创建日志目录和文件流） - await logger.initLogger(); - logger.info('App ready'); - - // ================================================================ - // SEC-005: CSP 安全策略注入（动态跟踪运行时网关 URL） - // ================================================================ - const isDev = isDevMode(); - - try { - /** - * 动态构建 connect-src 白名单 - * 每次请求时重新计算，确保运行时网关 URL 变更（如用户通过设置页修改）能及时生效 - */ - function buildExtraConnectSrc(): string { - const extraOrigins = new Set(); - // 当前运行时网关 URL（可能已被用户通过 IPC 修改） - const currentGateway = gatewayUrl(); - if (currentGateway && currentGateway !== 'https://entropydecrease.com') { - extraOrigins.add(currentGateway); - } - // 环境变量中的 API 地址 - const configuredApi = process.env.VITE_API_BASE_URL || ''; - if (configuredApi && configuredApi !== 'https://entropydecrease.com') { - extraOrigins.add(configuredApi); - } - return extraOrigins.size > 0 ? ` ${[...extraOrigins].join(' ')}` : ''; - } - - session.defaultSession.webRequest.onHeadersReceived((details, callback) => { - const extraConnectSrc = buildExtraConnectSrc(); - // 开发环境：允许 unsafe-inline/unsafe-eval（Vite HMR 需要），worker-src 需要 blob:（Vite 8 HMR 客户端用 blob: 创建 SharedWorker） - // 生产环境：禁止 unsafe-eval，保留 unsafe-inline（Tailwind 运行时需要）； - // script-src 必须保留 'wasm-unsafe-eval'，否则 automerge 的 WASM 模块被 CSP 拦截， - // 导致顶层 import 失败、React 无法挂载、应用卡在启动画面（仅放开 WASM 编译，不放开 JS eval） - const csp = isDev - ? `default-src 'self' 'unsafe-inline' 'unsafe-eval' http://localhost:* ws://localhost:*; worker-src 'self' blob: http://localhost:*; connect-src 'self' http://localhost:* ws://localhost:* https://*.supabase.co wss://*.supabase.co https://entropydecrease.com wss://entropydecrease.com${extraConnectSrc}; img-src 'self' data: blob: https://*.supabase.co; font-src 'self' data:;` - : `default-src 'self'; script-src 'self' 'wasm-unsafe-eval'; style-src 'self' 'unsafe-inline'; img-src 'self' data: blob: https://*.supabase.co; font-src 'self' data:; connect-src 'self' https://*.supabase.co wss://*.supabase.co https://entropydecrease.com wss://entropydecrease.com${extraConnectSrc}; frame-ancestors 'none';`; - - callback({ - responseHeaders: { - ...details.responseHeaders, - 'Content-Security-Policy': [csp], - }, - }); - }); - logger.info(`[SEC] CSP policy injected (${isDev ? 'development' : 'production'} mode, dynamic gateway tracking enabled)`); - } catch (err) { - // CSP 注入失败时记录错误但不阻塞启动 - logger.error('[SEC] Failed to inject CSP policy', err); - } - - // 加载持久化的 AI 网关地址（在注册 handler 之前，确保 handler 可用正确的 URL） - await loadPersistedGatewayUrl(); - logger.info(`[AI] Gateway URL resolved: ${gatewayUrl()}`); - // 初始化 AI 模块（加载 Ollama 配置、执行检测），须在注册 handler 之前完成 - await initAIModule(); - registerAIHandlers(); - registerCaptureHandlers(); - - // v1.0.0: 初始化 SQLite 数据库 - const defaultDbPath = await resolveDbPath(); - const sqliteDb = initialize(defaultDbPath); - initializeSchema(sqliteDb); - logger.info('[DB] SQLite initialized and schema ready'); - - // v1.0.0: 注册数据迁移 IPC handlers（IndexedDB → SQLite） - registerMigrationHandlers(safeHandle); - - // 隐藏默认 Electron 菜单栏 - Menu.setApplicationMenu(null); - - // AI 网关地址同步（渲染进程 → 主进程） - safeHandle('ai:set-gateway-url', async (_event, url: string) => { - // SEC: URL 白名单验证 — 仅允许受信任的域名 - const allowedDomains = ['entropydecrease.com', 'localhost', '127.0.0.1']; - let parsedUrl: URL; - try { - parsedUrl = new URL(url); - } catch { - throw new Error('无效的网关 URL 格式'); - } - if (!allowedDomains.some(d => parsedUrl.hostname === d || parsedUrl.hostname.endsWith('.' + d))) { - throw new Error('不允许的网关域名'); - } - if (parsedUrl.protocol !== 'https:' && parsedUrl.hostname !== 'localhost' && parsedUrl.hostname !== '127.0.0.1') { - throw new Error('生产环境必须使用 HTTPS'); - } - - await setRuntimeGatewayUrl(url); - return { success: true }; - }); - - // 通用 IPC handlers - safeHandle('get-app-version', async () => { - return app.getVersion(); - }); - - safeHandle('get-default-storage-path', async () => { - return app.getPath('userData'); - }); - - // 文件读取 IPC handler（仅允许读取应用数据目录或临时目录下的文件） - safeHandle('fs:read-file', async (_event, filePath: string) => { - const appDataPath = app.getPath('userData'); - const tempPath = app.getPath('temp'); - const resolvedPath = path.resolve(filePath); - - if (!resolvedPath.startsWith(appDataPath) && !resolvedPath.startsWith(tempPath)) { - throw new Error('不允许读取该路径的文件'); - } - - const buffer = await readFile(resolvedPath); - return buffer.buffer; // 返回 ArrayBuffer - }); - - safeHandle('dialog:selectDirectory', async (_event, options?: { title?: string; defaultPath?: string }) => { - const result = await dialog.showOpenDialog({ - title: options?.title || '选择数据存储目录', - defaultPath: options?.defaultPath, - properties: ['openDirectory', 'createDirectory'], - }); - - if (result.canceled || result.filePaths.length === 0) { - return { canceled: true, path: null }; - } - - return { canceled: false, path: result.filePaths[0] }; - }); - - // v1.1.0: 获取当前实际使用的存储路径 - safeHandle('storage:get-active-path', async () => { - return getDbPath() ?? await resolveDbPath(); - }); - - // v1.1.0: 存储路径切换（含数据迁移） - safeHandle('storage:change-path', async (_event, args: { newPath: string }) => { - if (isChangingPath) { - return { success: false, error: '正在处理路径切换，请稍后重试' }; - } - - isChangingPath = true; - const previousPath = path.dirname(getDbPath() ?? await resolveDbPath()); - - try { - const { newPath } = args; - - // 1. 验证路径不同 - const normalizedNew = path.resolve(newPath); - const normalizedOld = path.resolve(previousPath); - if (normalizedNew === normalizedOld) { - return { success: false, error: '新路径与当前路径相同' }; - } - - logger.info(`[Storage] Switching storage path: ${normalizedOld} → ${normalizedNew}`); - - // 2. 为旧数据库创建备份 - await createBackup(normalizedOld); - - // 3. WAL checkpoint 并关闭旧连接 - checkpointAndClose(); - - // 4. 迁移数据库文件 - const migrationResult = await migrateDatabaseFiles(normalizedOld, normalizedNew); - if (!migrationResult.success) { - logger.error('[Storage] Migration failed:', migrationResult.error); - // 回滚：重新打开旧路径 - try { - const oldDbPath = path.join(normalizedOld, 'keban.db'); - reinitialize(oldDbPath); - initializeSchema(getConnection()); - } catch (rollbackErr) { - logger.error('[Storage] Rollback after migration failure also failed!', rollbackErr); - } - return { success: false, error: migrationResult.error }; - } - - // 5. 验证新数据库完整性 - const newDbPath = path.join(normalizedNew, 'keban.db'); - if (!verifyDatabaseIntegrity(newDbPath)) { - logger.error('[Storage] Integrity check failed for new database'); - // 回滚 - try { - const oldDbPath = path.join(normalizedOld, 'keban.db'); - reinitialize(oldDbPath); - initializeSchema(getConnection()); - } catch (rollbackErr) { - logger.error('[Storage] Rollback after integrity check failure also failed!', rollbackErr); - } - return { success: false, error: '新数据库完整性校验失败，已回滚到原路径' }; - } - - // 6. 重新连接到新路径 - reinitialize(newDbPath); - initializeSchema(getConnection()); - - // 7. 持久化新路径配置 - await saveCustomStoragePath(normalizedNew); - - logger.info(`[Storage] Path switch completed: ${normalizedNew}`); - return { - success: true, - previousPath: normalizedOld, - newPath: normalizedNew, - }; - } catch (err) { - const errorMsg = err instanceof Error ? err.message : String(err); - logger.error('[Storage] Path switch failed', err); - - // 尝试回滚到旧路径 - try { - const oldDbPath = path.join(previousPath, 'keban.db'); - reinitialize(oldDbPath); - initializeSchema(getConnection()); - logger.info('[Storage] Rolled back to previous path'); - } catch (rollbackErr) { - logger.error('[Storage] Rollback also failed!', rollbackErr); - } - - return { success: false, error: '路径切换失败: ' + errorMsg }; - } finally { - isChangingPath = false; - } - }); - - // 创建主窗口（内部会创建托盘） - mainWindow = createMainWindow(isQuittingRef, performQuit); - - // SEC-005: 设置主窗口 ID 以启用 IPC sender 验证 - setMainWindowId(mainWindow.webContents.id); - - initAutoUpdater(mainWindow); - - // ---- 窗口控制 IPC handlers ---- - safeHandle('window:minimize', async () => { - if (mainWindow) mainWindow.minimize(); - return { success: true }; - }); - - safeHandle('window:maximize', async () => { - if (mainWindow) { - if (mainWindow.isMaximized()) { - mainWindow.unmaximize(); - } else { - mainWindow.maximize(); - } - } - return { success: true }; - }); - - safeHandle('window:close', async () => { - if (mainWindow) mainWindow.close(); - return { success: true }; - }); - - safeHandle('window:isMaximized', async () => { - return mainWindow ? mainWindow.isMaximized() : false; - }); - - safeHandle('window:close-action', async (_event, action: 'quit' | 'minimize' | 'cancel', remember: boolean) => { - if (!mainWindow) return; - - if (remember) { - await saveCloseChoice(action); - } - - if (action === 'quit') { - performQuit(); - } else if (action === 'minimize') { - mainWindow.hide(); - } - }); - - // 更新相关 IPC handler - safeHandle('update:check', async () => { - checkForUpdate(); - return { success: true }; - }); - - safeHandle('update:download', async () => { - downloadUpdate(); - return { success: true }; - }); - - safeHandle('update:install', async () => { - installUpdate(); - return { success: true }; - }); - - safeHandle('update:set-auto-check', async (_event, enabled: boolean) => { - setAutoCheckEnabled(enabled); - return { success: true }; - }); - - // 退出前同步完成通知（渲染进程 → 主进程） - safeHandle('sync:quit-complete', async () => { - completeSyncBeforeQuit(); - return { success: true }; - }); - - // ================================================================ - // v1.0.0: 数据访问 IPC handlers (db:*) - // ================================================================ - - /** 允许的表名白名单（防止 SQL 注入，不暴露原始 SQL） */ - const ALLOWED_TABLES = new Set([ - 'notes', 'note_folders', 'flashcard_decks', 'flashcards', - 'flashcard_reviews', 'feynman_notes', 'feynman_summaries', - 'feynman_weak_points', 'operation_log', 'app_settings', - 'sync_conflicts', 'offline_queue', 'study_check_ins', - 'achievements', 'pomodoro_goals', 'pomodoro_sessions', - 'pomodoro_settings', 'window_captures', 'consent', - 'user_profile', 'inspirations', 'search_index', - ]); - - /** camelCase → snake_case（用于表名映射） */ - const TABLE_NAME_MAP: Record = { - notes: 'notes', - noteFolders: 'note_folders', - flashcardDecks: 'flashcard_decks', - flashcards: 'flashcards', - flashcardReviews: 'flashcard_reviews', - feynmanNotes: 'feynman_notes', - feynmanSummaries: 'feynman_summaries', - feynmanWeakPoints: 'feynman_weak_points', - operationLog: 'operation_log', - appSettings: 'app_settings', - syncConflicts: 'sync_conflicts', - offlineQueue: 'offline_queue', - studyCheckIns: 'study_check_ins', - achievements: 'achievements', - pomodoroGoals: 'pomodoro_goals', - pomodoroSessions: 'pomodoro_sessions', - pomodoroSettings: 'pomodoro_settings', - windowCaptures: 'window_captures', - consent: 'consent', - userProfile: 'user_profile', - inspirations: 'inspirations', - searchIndex: 'search_index', - }; - - function resolveTable(table: string): string { - const snakeName = TABLE_NAME_MAP[table] || table; - if (!ALLOWED_TABLES.has(snakeName)) { - throw new Error(`[DB] Table "${table}" is not in the allowed whitelist`); - } - return snakeName; - } - - /** db:query — 查询：接收 { table, method, args } → 调用 SqliteRepository 对应方法 */ - safeHandle('db:query', async (_event, params: { table: string; method: string; args?: unknown[] }) => { - const tableName = resolveTable(params.table); - const repo = new SqliteRepository(tableName); - // eslint-disable-next-line @typescript-eslint/no-explicit-any -- 动态表名场景无法约束具体类型 - const method = params.method as keyof SqliteRepository; - const allowedMethods = ['getAll', 'getById', 'count']; - if (!allowedMethods.includes(method)) { - throw new Error(`[DB] Query method "${params.method}" is not allowed`); - } - const fn = (repo as any)[method]; - if (typeof fn !== 'function') { - throw new Error(`[DB] Method "${params.method}" does not exist on repository`); - } - return await fn.call(repo, ...(params.args ?? [])); - }); - - /** db:insert — 插入：接收 { table, item } → create() */ - safeHandle('db:insert', async (_event, params: { table: string; item: Record }) => { - const tableName = resolveTable(params.table); - const repo = new SqliteRepository(tableName); - return await repo.create(params.item as any); - }); - - /** db:update — 更新：接收 { table, id, changes } → update() */ - safeHandle('db:update', async (_event, params: { table: string; id: string; changes: Record }) => { - const tableName = resolveTable(params.table); - const repo = new SqliteRepository(tableName); - return await repo.update(params.id, params.changes as any); - }); - - /** db:delete — 删除：接收 { table, id } → delete() */ - safeHandle('db:delete', async (_event, params: { table: string; id: string }) => { - const tableName = resolveTable(params.table); - const repo = new SqliteRepository(tableName); - return await repo.delete(params.id); - }); - - /** db:search — 搜索：LIKE 模糊匹配（FTS5 在 T0.5 实现） */ - safeHandle('db:search', async (_event, params: { table: string; query: string }) => { - const tableName = resolveTable(params.table); - const dbConn = getConnection(); - const like = `%${params.query}%`; - // 对 notes 表搜索 title 和 content，其余表搜索所有 TEXT 列 - if (tableName === 'notes') { - return dbConn.prepare( - `SELECT * FROM notes WHERE title LIKE ? OR content LIKE ?` - ).all(like, like); - } - // 通用回退：获取表的 TEXT 列并搜索 - const colInfo = dbConn.prepare(`PRAGMA table_info("${tableName}")`).all() as Array<{ name: string; type: string }>; - const textCols = colInfo.filter((c) => c.type === 'TEXT' && c.name !== 'id'); - if (textCols.length === 0) return []; - const where = textCols.map((c) => `"${c.name}" LIKE ?`).join(' OR '); - return dbConn.prepare(`SELECT * FROM "${tableName}" WHERE ${where}`).all(...textCols.map(() => like)); - }); - - /** db:batch — 批量操作：事务执行 */ - safeHandle('db:batch', async (_event, params: { operations: Array<{ type: string; table: string; [key: string]: unknown }> }) => { - const dbConn = getConnection(); - - const txn = dbConn.transaction(() => { - for (const op of params.operations) { - const tableName = resolveTable(op.table as string); - switch (op.type) { - case 'insert': { - const item = op.item as Record; - const cols = Object.keys(item); - const placeholders = cols.map(() => '?').join(', '); - const sql = `INSERT INTO "${tableName}" (${cols.map((c) => `"${c}"`).join(', ')}) VALUES (${placeholders})`; - dbConn.prepare(sql).run(...Object.values(item)); - break; - } - case 'update': { - const changes = op.changes as Record; - const entries = Object.entries(changes); - if (entries.length === 0) break; - const setClauses = entries.map(([col]) => `"${col}" = ?`).join(', '); - const sql = `UPDATE "${tableName}" SET ${setClauses} WHERE id = ?`; - dbConn.prepare(sql).run(...entries.map(([, v]) => v), op.id as string); - break; - } - case 'delete': - dbConn.prepare(`DELETE FROM "${tableName}" WHERE id = ?`).run(op.id as string); - break; - default: - throw new Error(`[DB] Unknown batch operation type: ${op.type}`); - } - } - }); - txn(); - return { success: true }; - }); - - // ================================================================ - // v0.9.0: 备份相关 IPC handlers - // ================================================================ - - /** - * 显示保存对话框并将备份数据写入文件 - */ - safeHandle('backup:save', async (_event, data: string, defaultName?: string) => { - const filename = defaultName || `entropy-decrease-backup-${new Date().toISOString().slice(0, 10)}.json`; - - const result = await dialog.showSaveDialog({ - title: '保存备份文件', - defaultPath: filename, - filters: [ - { name: '熵减备份文件', extensions: ['json'] }, - { name: '所有文件', extensions: ['*'] }, - ], - }); - - if (result.canceled || !result.filePath) { - return { success: false, canceled: true, path: null }; - } - - try { - await writeFile(result.filePath, data, 'utf-8'); - return { success: true, canceled: false, path: result.filePath }; - } catch (err) { - const msg = err instanceof Error ? err.message : '写入失败'; - return { success: false, canceled: false, path: null, error: msg }; - } - }); - - /** - * 显示打开对话框，选择备份文件并读取内容 - */ - safeHandle('backup:open', async () => { - const result = await dialog.showOpenDialog({ - title: '选择备份文件', - filters: [ - { name: '熵减备份文件', extensions: ['json'] }, - { name: '所有文件', extensions: ['*'] }, - ], - properties: ['openFile'], - }); - - if (result.canceled || result.filePaths.length === 0) { - return { success: false, canceled: true, content: null }; - } - - try { - const content = await readFile(result.filePaths[0], 'utf-8'); - return { success: true, canceled: false, content, path: result.filePaths[0] }; - } catch (err) { - const msg = err instanceof Error ? err.message : '读取失败'; - return { success: false, canceled: false, content: null, error: msg }; - } - }); - - app.on('activate', () => { - if (BrowserWindow.getAllWindows().length === 0) { - mainWindow = createMainWindow(isQuittingRef, performQuit); - // SEC-005: macOS activate 重新创建窗口时同步更新 sender ID - setMainWindowId(mainWindow.webContents.id); - } - }); - }); - - // 标记应用即将退出 - app.on('before-quit', () => { - isQuittingRef.value = true; - }); - - // 所有窗口关闭时退出应用 - app.on('window-all-closed', () => { - logger.info('All windows closed'); - - disposeCaptureHandlers(); - destroyAutoUpdater(); - destroyTray(); - closeDb(); - mainWindow = null; - - // 关闭 MCP Bridge 子进程（防止孤儿进程阻塞退出） - mcpManager.shutdown().catch((err) => { - logger.error('[MCP] Shutdown error during quit', err); - }).finally(() => { - app.quit(); - }); - }); -} +/** + * Electron 主进程入口 + * + * 应用生命周期管理、单实例锁、IPC handler 注册。 + * 窗口创建 → windowManager.ts + * 托盘管理 → trayManager.ts + * AI 网关代理 → ai/index.ts + ai/handlers/*.ts + * 截图/音频采集 → captureHandlers.ts + * + * @ai-context: 2026-07 拆分——环境加载在 envLoader、CSP 在 cspPolicy、 + * db:* IPC 在 db/dbIpcHandlers、storage/backup IPC 在 storageIpcHandlers； + * 本文件保留生命周期编排与窗口/更新/网关 IPC。启动顺序有严格依赖： + * loadEnvironment → CSP → loadPersistedGatewayUrl → initAIModule → + * registerAIHandlers → SQLite 初始化 → createMainWindow，调整顺序 + * 可能导致 handler 使用错误的网关 URL 或数据库未就绪。 + * @ai-context: 本文件为 AGENTS.md 标注的高风险变更区——改动可能导致 + * 应用无法启动，任何修改需完整回归启动/退出/托盘/更新流程。 + */ + +import { app, BrowserWindow, Menu } from 'electron'; +import { safeHandle, setMainWindowId } from './ipcUtils.js'; +import { logger } from './logger.js'; +import { registerAIHandlers, initAIModule } from './ai/index.js'; +import { loadPersistedGatewayUrl, setRuntimeGatewayUrl, gatewayUrl, isDevMode } from './ai/utils.js'; +import { initAutoUpdater, checkForUpdate, downloadUpdate, installUpdate, destroyAutoUpdater, setAutoCheckEnabled } from './updater.js'; +import { createMainWindow, saveCloseChoice, completeSyncBeforeQuit } from './windowManager.js'; +import { destroyTray } from './trayManager.js'; +import { registerCaptureHandlers, disposeCaptureHandlers } from './captureHandlers.js'; +import { mcpManager } from './mcpManager.js'; +import { initialize, close as closeDb } from './db/sqliteService.js'; +import { initializeSchema } from './db/schema.js'; +import { resolveDbPath } from './db/storageConfig.js'; +import { registerMigrationHandlers } from './db/migration.js'; +import { loadEnvironment } from './envLoader.js'; +import { installCspPolicy } from './cspPolicy.js'; +import { registerDbIpcHandlers } from './db/dbIpcHandlers.js'; +import { registerStorageIpcHandlers } from './storageIpcHandlers.js'; + +// ================================================================ +// 性能优化：启用 GPU 光栅化与零拷贝 +// ================================================================ +app.commandLine.appendSwitch('enable-gpu-rasterization'); +app.commandLine.appendSwitch('enable-zero-copy'); +app.commandLine.appendSwitch('enable-features', 'WebGLDraftExtensions,SharedArrayBuffer'); + +// Windows: ANGLE + Direct3D 11 +// 注意：值必须是 'd3d11'，曾误写为 'gl' 导致 ANGLE 被锁定 OpenGL 后端， +// 引发 WEBGL_lose_context 缺失、上下文异常及渲染卡顿 +if (process.platform === 'win32') { + app.commandLine.appendSwitch('use-angle', 'd3d11'); +} + +// macOS: Metal +if (process.platform === 'darwin') { + app.commandLine.appendSwitch('enable-metal', '1'); +} + +// ================================================================ +// 环境变量加载（详见 envLoader.ts） +// ================================================================ +loadEnvironment(__dirname); + +// ================================================================ +// 模块级状态 +// ================================================================ + +/** 标记应用是否正在退出（区分"最小化到托盘"与"真正退出"） */ +const isQuittingRef = { value: false }; + +/** 主窗口引用 */ +let mainWindow: BrowserWindow | null = null; + +// ================================================================ +// 退出辅助 +// ================================================================ + +/** 确认退出应用 */ +function performQuit(): void { + isQuittingRef.value = true; + app.quit(); +} + +// ================================================================ +// 单实例锁 — 防止重复启动导致多个后台进程 +// ================================================================ + +const gotTheLock = app.requestSingleInstanceLock(); + +if (!gotTheLock) { + app.quit(); +} else { + app.on('second-instance', () => { + const win = BrowserWindow.getAllWindows()[0]; + if (win) { + if (win.isMinimized()) win.restore(); + if (!win.isVisible()) win.show(); + win.focus(); + } + }); + + // ================================================================ + // 应用生命周期 + // ================================================================ + + process.on('uncaughtException', (error) => { + logger.crash('Uncaught Exception', error); + }); + + process.on('unhandledRejection', (reason) => { + const error = reason instanceof Error ? reason : new Error(String(reason)); + logger.crash('Unhandled Rejection', error); + }); + + app.whenReady().then(async () => { + // 异步初始化日志系统（创建日志目录和文件流） + await logger.initLogger(); + logger.info('App ready'); + + // SEC-005: CSP 安全策略注入（详见 cspPolicy.ts） + installCspPolicy(isDevMode()); + + // 加载持久化的 AI 网关地址（在注册 handler 之前，确保 handler 可用正确的 URL） + await loadPersistedGatewayUrl(); + logger.info(`[AI] Gateway URL resolved: ${gatewayUrl()}`); + // 初始化 AI 模块（加载 Ollama 配置、执行检测），须在注册 handler 之前完成 + await initAIModule(); + registerAIHandlers(); + registerCaptureHandlers(); + + // v1.0.0: 初始化 SQLite 数据库 + const defaultDbPath = await resolveDbPath(); + const sqliteDb = initialize(defaultDbPath); + initializeSchema(sqliteDb); + logger.info('[DB] SQLite initialized and schema ready'); + + // v1.0.0: 注册数据迁移 IPC handlers（IndexedDB → SQLite） + registerMigrationHandlers(safeHandle); + + // 数据访问与存储/备份 IPC（详见 db/dbIpcHandlers.ts、storageIpcHandlers.ts） + registerDbIpcHandlers(); + registerStorageIpcHandlers(); + + // 隐藏默认 Electron 菜单栏 + Menu.setApplicationMenu(null); + + // AI 网关地址同步（渲染进程 → 主进程） + safeHandle('ai:set-gateway-url', async (_event, url: string) => { + // SEC: URL 白名单验证 — 仅允许受信任的域名 + const allowedDomains = ['entropydecrease.com', 'localhost', '127.0.0.1']; + let parsedUrl: URL; + try { + parsedUrl = new URL(url); + } catch { + throw new Error('无效的网关 URL 格式'); + } + if (!allowedDomains.some(d => parsedUrl.hostname === d || parsedUrl.hostname.endsWith('.' + d))) { + throw new Error('不允许的网关域名'); + } + if (parsedUrl.protocol !== 'https:' && parsedUrl.hostname !== 'localhost' && parsedUrl.hostname !== '127.0.0.1') { + throw new Error('生产环境必须使用 HTTPS'); + } + + await setRuntimeGatewayUrl(url); + return { success: true }; + }); + + // 通用 IPC handlers + safeHandle('get-app-version', async () => { + return app.getVersion(); + }); + + // 创建主窗口（内部会创建托盘） + mainWindow = createMainWindow(isQuittingRef, performQuit); + + // SEC-005: 设置主窗口 ID 以启用 IPC sender 验证 + setMainWindowId(mainWindow.webContents.id); + + initAutoUpdater(mainWindow); + + // ---- 窗口控制 IPC handlers ---- + safeHandle('window:minimize', async () => { + if (mainWindow) mainWindow.minimize(); + return { success: true }; + }); + + safeHandle('window:maximize', async () => { + if (mainWindow) { + if (mainWindow.isMaximized()) { + mainWindow.unmaximize(); + } else { + mainWindow.maximize(); + } + } + return { success: true }; + }); + + safeHandle('window:close', async () => { + if (mainWindow) mainWindow.close(); + return { success: true }; + }); + + safeHandle('window:isMaximized', async () => { + return mainWindow ? mainWindow.isMaximized() : false; + }); + + safeHandle('window:close-action', async (_event, action: 'quit' | 'minimize' | 'cancel', remember: boolean) => { + if (!mainWindow) return; + + if (remember) { + await saveCloseChoice(action); + } + + if (action === 'quit') { + performQuit(); + } else if (action === 'minimize') { + mainWindow.hide(); + } + }); + + // 更新相关 IPC handler + safeHandle('update:check', async () => { + checkForUpdate(); + return { success: true }; + }); + + safeHandle('update:download', async () => { + downloadUpdate(); + return { success: true }; + }); + + safeHandle('update:install', async () => { + installUpdate(); + return { success: true }; + }); + + safeHandle('update:set-auto-check', async (_event, enabled: boolean) => { + setAutoCheckEnabled(enabled); + return { success: true }; + }); + + // 退出前同步完成通知（渲染进程 → 主进程） + safeHandle('sync:quit-complete', async () => { + completeSyncBeforeQuit(); + return { success: true }; + }); + + app.on('activate', () => { + if (BrowserWindow.getAllWindows().length === 0) { + mainWindow = createMainWindow(isQuittingRef, performQuit); + // SEC-005: macOS activate 重新创建窗口时同步更新 sender ID + setMainWindowId(mainWindow.webContents.id); + } + }); + }); + + // 标记应用即将退出 + app.on('before-quit', () => { + isQuittingRef.value = true; + }); + + // 所有窗口关闭时退出应用 + app.on('window-all-closed', () => { + logger.info('All windows closed'); + + disposeCaptureHandlers(); + destroyAutoUpdater(); + destroyTray(); + closeDb(); + mainWindow = null; + + // 关闭 MCP Bridge 子进程（防止孤儿进程阻塞退出） + mcpManager.shutdown().catch((err) => { + logger.error('[MCP] Shutdown error during quit', err); + }).finally(() => { + app.quit(); + }); + }); +} diff --git a/client/electron/mcpBridge.ts b/client/electron/mcpBridge.ts index a4c7b422..35b4bfbd 100644 --- a/client/electron/mcpBridge.ts +++ b/client/electron/mcpBridge.ts @@ -1,269 +1,269 @@ -/** - * MCP Bridge — 纯 Node.js 子进程 - * - * 由主进程的 mcpManager.ts 通过 child_process.fork() 启动， - * 在独立的 Node.js 运行环境中加载 MCP SDK 并管理 server 连接。 - * - * 为什么需要 Bridge： - * Electron 主进程是 CJS 环境，而 MCP SDK 的 StdioClientTransport - * 仅提供 ESM 导出。Electron 的模块系统不支持 new Function + import() 技巧。 - * Bridge 运行在纯 Node.js 中，原生支持 ESM dynamic import()。 - * - * 通信协议（JSON over IPC）： - * 主进程 → Bridge：{ id, method, params } - * Bridge → 主进程：{ id, result?, error? } - * - * 注意：此文件不应 import 任何 Electron 模块（app, BrowserWindow 等）。 - * - * @ai-context Electron MCP 集成 — Bridge 子进程 - */ - -// ================================================================ -// IPC 消息类型 -// ================================================================ - -interface BridgeRequest { - id: string; - method: 'init' | 'listTools' | 'callTool' | 'shutdown'; - params?: Record; -} - -interface BridgeResponse { - id: string; - result?: unknown; - error?: string; -} - -// ================================================================ -// MCP SDK 类型（运行时） -// ================================================================ - -interface McpClient { - connect(transport: unknown): Promise; - listTools(): Promise<{ tools: McpToolInfo[] }>; - callTool(params: { name: string; arguments?: Record }): Promise; - close(): Promise; -} - -interface McpTransport { - close(): Promise; -} - -interface McpToolInfo { - name: string; - description?: string; - inputSchema?: Record; -} - -interface StdioServerParameters { - command: string; - args?: string[]; - env?: Record; - stderr?: 'pipe' | 'overlapped' | 'inherit' | 'ignore'; - cwd?: string; -} - -// ================================================================ -// SDK 构造器（init 时加载） -// ================================================================ - -let ClientCtor: (new (opts: { name: string; version: string }) => McpClient) | null = null; -let StdioTransportCtor: (new (params: StdioServerParameters) => McpTransport) | null = null; - -// ================================================================ -// Server 管理 -// ================================================================ - -interface ServerEntry { - name: string; - client: McpClient | null; - transport: McpTransport | null; - connected: boolean; -} - -const servers = new Map(); - -// ================================================================ -// 核心方法 -// ================================================================ - -async function handleInit(params: Record): Promise> { - // 1a. CJS 加载 Client - const clientMod = require('@modelcontextprotocol/sdk/client') as { - Client: new (opts: { name: string; version: string }) => McpClient; - }; - ClientCtor = clientMod.Client; - log('Client loaded via CJS require'); - - // 1b. 原生 import() 加载 StdioClientTransport - // 在纯 Node.js (v22+) 中，new Function 保留原生 ESM dynamic import - const nativeImport = new Function('specifier', 'return import(specifier)') as (s: string) => Promise; - const stdioMod = await nativeImport('@modelcontextprotocol/sdk/client/stdio.js') as { - StdioClientTransport: new (params: StdioServerParameters) => McpTransport; - }; - StdioTransportCtor = stdioMod.StdioClientTransport; - log('StdioClientTransport loaded via native dynamic import'); - - // 2. 启动各 server - const serverConfigs = params.servers as Array<{ - name: string; - command: string; - args: string[]; - }>; - - for (const config of serverConfigs) { - await startServer(config); - } - - // 3. 返回状态 - const status: Record = {}; - for (const [name, entry] of servers) { - status[name] = entry.connected; - } - - const connected = Object.values(status).filter(Boolean).length; - log(`Init complete: ${connected}/${serverConfigs.length} servers connected`); - return status; -} - -async function startServer(config: { name: string; command: string; args: string[] }): Promise { - if (!ClientCtor || !StdioTransportCtor) return; - - const entry: ServerEntry = { - name: config.name, - client: null, - transport: null, - connected: false, - }; - servers.set(config.name, entry); - - try { - log(`Starting server "${config.name}": ${config.command} ${config.args.join(' ')}`); - - const transport = new StdioTransportCtor({ - command: config.command, - args: config.args, - env: process.env as Record, - stderr: 'pipe', - }); - - entry.transport = transport; - - const client = new ClientCtor({ - name: `keban-${config.name}`, - version: '1.0.0', - }); - - await client.connect(transport); - entry.client = client; - entry.connected = true; - - log(`Server "${config.name}" connected successfully`); - } catch (err) { - const errMsg = err instanceof Error ? err.message : String(err); - log(`Failed to start server "${config.name}": ${errMsg}`); - if (entry.transport) { - entry.transport.close().catch(() => {}); - } - entry.transport = null; - entry.client = null; - entry.connected = false; - } -} - -async function handleListTools(params: Record): Promise { - const serverName = params.serverName as string; - const entry = servers.get(serverName); - if (!entry?.connected || !entry.client) { - throw new Error(`MCP server "${serverName}" is not connected`); - } - const result = await entry.client.listTools(); - return result.tools; -} - -async function handleCallTool(params: Record): Promise { - const serverName = params.serverName as string; - const toolName = params.toolName as string; - const args = params.args as Record | undefined; - - const entry = servers.get(serverName); - if (!entry?.connected || !entry.client) { - throw new Error(`MCP server "${serverName}" is not connected`); - } - - log(`Calling tool "${toolName}" on server "${serverName}"`); - return await entry.client.callTool({ name: toolName, arguments: args }); -} - -async function handleShutdown(): Promise { - log('Shutting down all MCP servers...'); - - const promises: Promise[] = []; - - for (const entry of servers.values()) { - if (entry.client) { - promises.push(entry.client.close().catch(() => {})); - } - if (entry.transport) { - promises.push(entry.transport.close().catch(() => {})); - } - entry.connected = false; - entry.client = null; - entry.transport = null; - } - - await Promise.allSettled(promises); - servers.clear(); - log('All MCP servers shut down'); -} - -// ================================================================ -// IPC 消息处理 -// ================================================================ - -function log(msg: string): void { - // 通过 IPC 发送日志到主进程（stderr 保留给错误） - process.stdout.write(`[MCP-Bridge] ${msg}\n`); -} - -process.on('message', async (msg: BridgeRequest) => { - const response: BridgeResponse = { id: msg.id }; - - try { - switch (msg.method) { - case 'init': - response.result = await handleInit(msg.params ?? {}); - break; - case 'listTools': - response.result = await handleListTools(msg.params ?? {}); - break; - case 'callTool': - response.result = await handleCallTool(msg.params ?? {}); - break; - case 'shutdown': - await handleShutdown(); - response.result = { ok: true }; - break; - default: - throw new Error(`Unknown method: ${msg.method}`); - } - } catch (err) { - response.error = err instanceof Error ? err.message : String(err); - } - - process.send!(response); -}); - -// 优雅退出：父进程断开时自行退出 -process.on('disconnect', () => { - log('Parent disconnected, exiting'); - handleShutdown().finally(() => process.exit(0)); -}); - -// 未捕获异常不要崩溃，发日志后继续 -process.on('uncaughtException', (err) => { - log(`Uncaught exception: ${err.message}`); -}); - -log(`Bridge process started, env keys: ${Object.keys(process.env).length}, PATH: ${(process.env.PATH || process.env.Path || '').slice(0, 80)}`); -log('Waiting for commands...'); +/** + * MCP Bridge — 纯 Node.js 子进程 + * + * 由主进程的 mcpManager.ts 通过 child_process.fork() 启动， + * 在独立的 Node.js 运行环境中加载 MCP SDK 并管理 server 连接。 + * + * 为什么需要 Bridge： + * Electron 主进程是 CJS 环境，而 MCP SDK 的 StdioClientTransport + * 仅提供 ESM 导出。Electron 的模块系统不支持 new Function + import() 技巧。 + * Bridge 运行在纯 Node.js 中，原生支持 ESM dynamic import()。 + * + * 通信协议（JSON over IPC）： + * 主进程 → Bridge：{ id, method, params } + * Bridge → 主进程：{ id, result?, error? } + * + * 注意：此文件不应 import 任何 Electron 模块（app, BrowserWindow 等）。 + * + * @ai-context Electron MCP 集成 — Bridge 子进程 + */ + +// ================================================================ +// IPC 消息类型 +// ================================================================ + +interface BridgeRequest { + id: string; + method: 'init' | 'listTools' | 'callTool' | 'shutdown'; + params?: Record; +} + +interface BridgeResponse { + id: string; + result?: unknown; + error?: string; +} + +// ================================================================ +// MCP SDK 类型（运行时） +// ================================================================ + +interface McpClient { + connect(transport: unknown): Promise; + listTools(): Promise<{ tools: McpToolInfo[] }>; + callTool(params: { name: string; arguments?: Record }): Promise; + close(): Promise; +} + +interface McpTransport { + close(): Promise; +} + +interface McpToolInfo { + name: string; + description?: string; + inputSchema?: Record; +} + +interface StdioServerParameters { + command: string; + args?: string[]; + env?: Record; + stderr?: 'pipe' | 'overlapped' | 'inherit' | 'ignore'; + cwd?: string; +} + +// ================================================================ +// SDK 构造器（init 时加载） +// ================================================================ + +let ClientCtor: (new (opts: { name: string; version: string }) => McpClient) | null = null; +let StdioTransportCtor: (new (params: StdioServerParameters) => McpTransport) | null = null; + +// ================================================================ +// Server 管理 +// ================================================================ + +interface ServerEntry { + name: string; + client: McpClient | null; + transport: McpTransport | null; + connected: boolean; +} + +const servers = new Map(); + +// ================================================================ +// 核心方法 +// ================================================================ + +async function handleInit(params: Record): Promise> { + // 1a. CJS 加载 Client + const clientMod = require('@modelcontextprotocol/sdk/client') as { + Client: new (opts: { name: string; version: string }) => McpClient; + }; + ClientCtor = clientMod.Client; + log('Client loaded via CJS require'); + + // 1b. 原生 import() 加载 StdioClientTransport + // 在纯 Node.js (v22+) 中，new Function 保留原生 ESM dynamic import + const nativeImport = new Function('specifier', 'return import(specifier)') as (s: string) => Promise; + const stdioMod = await nativeImport('@modelcontextprotocol/sdk/client/stdio.js') as { + StdioClientTransport: new (params: StdioServerParameters) => McpTransport; + }; + StdioTransportCtor = stdioMod.StdioClientTransport; + log('StdioClientTransport loaded via native dynamic import'); + + // 2. 启动各 server + const serverConfigs = params.servers as Array<{ + name: string; + command: string; + args: string[]; + }>; + + for (const config of serverConfigs) { + await startServer(config); + } + + // 3. 返回状态 + const status: Record = {}; + for (const [name, entry] of servers) { + status[name] = entry.connected; + } + + const connected = Object.values(status).filter(Boolean).length; + log(`Init complete: ${connected}/${serverConfigs.length} servers connected`); + return status; +} + +async function startServer(config: { name: string; command: string; args: string[] }): Promise { + if (!ClientCtor || !StdioTransportCtor) return; + + const entry: ServerEntry = { + name: config.name, + client: null, + transport: null, + connected: false, + }; + servers.set(config.name, entry); + + try { + log(`Starting server "${config.name}": ${config.command} ${config.args.join(' ')}`); + + const transport = new StdioTransportCtor({ + command: config.command, + args: config.args, + env: process.env as Record, + stderr: 'pipe', + }); + + entry.transport = transport; + + const client = new ClientCtor({ + name: `entropydecrease-${config.name}`, + version: '1.0.0', + }); + + await client.connect(transport); + entry.client = client; + entry.connected = true; + + log(`Server "${config.name}" connected successfully`); + } catch (err) { + const errMsg = err instanceof Error ? err.message : String(err); + log(`Failed to start server "${config.name}": ${errMsg}`); + if (entry.transport) { + entry.transport.close().catch(() => {}); + } + entry.transport = null; + entry.client = null; + entry.connected = false; + } +} + +async function handleListTools(params: Record): Promise { + const serverName = params.serverName as string; + const entry = servers.get(serverName); + if (!entry?.connected || !entry.client) { + throw new Error(`MCP server "${serverName}" is not connected`); + } + const result = await entry.client.listTools(); + return result.tools; +} + +async function handleCallTool(params: Record): Promise { + const serverName = params.serverName as string; + const toolName = params.toolName as string; + const args = params.args as Record | undefined; + + const entry = servers.get(serverName); + if (!entry?.connected || !entry.client) { + throw new Error(`MCP server "${serverName}" is not connected`); + } + + log(`Calling tool "${toolName}" on server "${serverName}"`); + return await entry.client.callTool({ name: toolName, arguments: args }); +} + +async function handleShutdown(): Promise { + log('Shutting down all MCP servers...'); + + const promises: Promise[] = []; + + for (const entry of servers.values()) { + if (entry.client) { + promises.push(entry.client.close().catch(() => {})); + } + if (entry.transport) { + promises.push(entry.transport.close().catch(() => {})); + } + entry.connected = false; + entry.client = null; + entry.transport = null; + } + + await Promise.allSettled(promises); + servers.clear(); + log('All MCP servers shut down'); +} + +// ================================================================ +// IPC 消息处理 +// ================================================================ + +function log(msg: string): void { + // 通过 IPC 发送日志到主进程（stderr 保留给错误） + process.stdout.write(`[MCP-Bridge] ${msg}\n`); +} + +process.on('message', async (msg: BridgeRequest) => { + const response: BridgeResponse = { id: msg.id }; + + try { + switch (msg.method) { + case 'init': + response.result = await handleInit(msg.params ?? {}); + break; + case 'listTools': + response.result = await handleListTools(msg.params ?? {}); + break; + case 'callTool': + response.result = await handleCallTool(msg.params ?? {}); + break; + case 'shutdown': + await handleShutdown(); + response.result = { ok: true }; + break; + default: + throw new Error(`Unknown method: ${msg.method}`); + } + } catch (err) { + response.error = err instanceof Error ? err.message : String(err); + } + + process.send!(response); +}); + +// 优雅退出：父进程断开时自行退出 +process.on('disconnect', () => { + log('Parent disconnected, exiting'); + handleShutdown().finally(() => process.exit(0)); +}); + +// 未捕获异常不要崩溃，发日志后继续 +process.on('uncaughtException', (err) => { + log(`Uncaught exception: ${err.message}`); +}); + +log(`Bridge process started, env keys: ${Object.keys(process.env).length}, PATH: ${(process.env.PATH || process.env.Path || '').slice(0, 80)}`); +log('Waiting for commands...'); diff --git a/client/electron/mcpEnv.ts b/client/electron/mcpEnv.ts new file mode 100644 index 00000000..0a892670 --- /dev/null +++ b/client/electron/mcpEnv.ts @@ -0,0 +1,149 @@ +/** + * MCP Bridge 环境与配置构建 + * + * @ai-context: 从 mcpManager.ts 拆出。Electron 主进程的 process.env + * 可能几乎为空（仅含 Electron 自设变量），Windows 下经 PowerShell + * .NET API 从注册表读取 Machine+User 环境变量作为基础层、process.env + * 覆盖其上——MCP Server 子进程需要完整 PATH 才能运行。 + * @ai-context: buildServerConfigs 解析 node_modules/.bin 下的三个 + * MCP server 可执行文件（Windows 加 .cmd 后缀）；新增 server 在此登记。 + * @ai-context: SEC——execSync 命令串为完全固定常量（无任何用户/外部 + * 输入拼接），无 shell 注入面；若未来需参数化必须改用 execFile。 + */ +import { execSync } from 'child_process'; +import * as path from 'path'; +import { logger } from './logger.js'; + +// ================================================================ +// IPC 消息类型 +// ================================================================ + +export interface BridgeRequest { + id: string; + method: 'init' | 'listTools' | 'callTool' | 'shutdown'; + params?: Record; +} + +export interface BridgeResponse { + id: string; + result?: unknown; + error?: string; +} + +/** 工具描述信息 */ +export interface McpToolInfo { + name: string; + description?: string; + inputSchema?: Record; +} + +export type ServerName = 'filesystem' | 'sequential-thinking' | 'memory'; + +/** MCP Server 启动配置 */ +export interface McpServerConfig { + name: string; + command: string; + args: string[]; +} + +// ================================================================ +// Windows 注册表环境变量读取 +// ================================================================ + +/** + * 从 Windows 注册表读取用户 + 系统环境变量。 + * @returns 从注册表读取的环境变量对象，失败时返回空对象 + */ +function readWindowsRegistryEnv(): Record { + const env: Record = {}; + + if (process.platform !== 'win32') return env; + + try { + // 使用 PowerShell .NET API 从注册表读取用户 + 系统环境变量 + // [Environment]::GetEnvironmentVariables() 合并 Machine + User 两层 + const output = execSync( + 'powershell -NoProfile -Command "' + + '$e = [Environment]::GetEnvironmentVariables();' + + 'foreach ($k in $e.Keys) { Write-Output \"$k=$($e[$k])\" }"', + { + encoding: 'utf-8', + timeout: 10000, + windowsHide: true, + }, + ); + + for (const line of output.split('\n')) { + const eqIdx = line.indexOf('='); + if (eqIdx > 0) { + const key = line.slice(0, eqIdx).trim(); + const value = line.slice(eqIdx + 1).trim(); + if (key) env[key] = value; + } + } + + logger.info(`[MCP] Registry env loaded: ${Object.keys(env).length} keys`); + } catch (err) { + logger.error('[MCP] Failed to read registry env via PowerShell', err); + } + + return env; +} + +/** + * 构建完整的子进程环境变量： + * 合并 Electron process.env + Windows 注册表环境变量。 + * 注册表值作为基础层，process.env 覆盖其上（保留 Electron 特有能力如 ELECTRON_RUN_AS_NODE）。 + */ +export function buildChildEnv(): Record { + const registryEnv = readWindowsRegistryEnv(); + const processEnv = process.env as Record; + + // 注册表为基础，process.env 覆盖 + const merged: Record = {}; + for (const [k, v] of Object.entries(registryEnv)) { + merged[k] = v; + } + for (const [k, v] of Object.entries(processEnv)) { + if (v !== undefined) { + merged[k] = v; + } + } + + return merged; +} + +/** + * 构建三个内置 MCP server 的启动配置 + * @param dirname 调用方 __dirname（编译后为 dist-electron/electron/） + * @param userDataDir filesystem server 的工作目录（userData） + */ +export function buildServerConfigs(dirname: string, userDataDir: string): McpServerConfig[] { + const clientRoot = path.resolve(dirname, '..', '..'); + const binDir = path.join(clientRoot, 'node_modules', '.bin'); + const isWindows = process.platform === 'win32'; + + return [ + { + name: 'filesystem', + binName: 'mcp-server-filesystem', + args: [userDataDir], + }, + { + name: 'sequential-thinking', + binName: 'mcp-server-sequential-thinking', + args: [], + }, + { + name: 'memory', + binName: 'mcp-server-memory', + args: [], + }, + ].map((cfg) => ({ + name: cfg.name, + command: isWindows + ? path.join(binDir, `${cfg.binName}.cmd`) + : path.join(binDir, cfg.binName), + args: cfg.args, + })); +} diff --git a/client/electron/mcpManager.ts b/client/electron/mcpManager.ts index 52397b1e..83352c88 100644 --- a/client/electron/mcpManager.ts +++ b/client/electron/mcpManager.ts @@ -1,373 +1,254 @@ -/** - * MCP Server 管理器（Bridge 架构） - * - * 通过 child_process.fork() 启动独立的 Node.js 子进程（mcpBridge.ts）， - * 在子进程中加载 MCP SDK 并管理 server 连接。 - * - * 为什么需要 Bridge： - * Electron 主进程是 CJS 环境，MCP SDK 的 StdioClientTransport 仅 ESM 导出。 - * Electron 的模块系统不支持 new Function + import() 技巧加载 ESM 模块。 - * Bridge 运行在纯 Node.js 中，原生支持 ESM dynamic import()。 - * - * 通信协议（JSON over IPC）： - * Manager → Bridge：{ id, method, params } - * Bridge → Manager：{ id, result?, error? } - * - * @ai-context Electron 主进程 MCP 集成入口 - */ - -import { fork, execSync, type ChildProcess } from 'child_process'; -import * as path from 'path'; -import { app } from 'electron'; -import { logger } from './logger.js'; - -// ================================================================ -// IPC 消息类型 -// ================================================================ - -interface BridgeRequest { - id: string; - method: 'init' | 'listTools' | 'callTool' | 'shutdown'; - params?: Record; -} - -interface BridgeResponse { - id: string; - result?: unknown; - error?: string; -} - -/** 工具描述信息 */ -interface McpToolInfo { - name: string; - description?: string; - inputSchema?: Record; -} - -// ================================================================ -// Server 名称 -// ================================================================ - -type ServerName = 'filesystem' | 'sequential-thinking' | 'memory'; - -// ================================================================ -// Windows 注册表环境变量读取 -// ================================================================ - -/** - * 从 Windows 注册表读取用户 + 系统环境变量。 - * Electron 主进程的 process.env 可能几乎为空（仅含 Electron 自设变量）， - * 但 MCP Server 子进程需要完整环境（PATH, NODE_PATH 等）才能正常运行。 - * - * @returns 从注册表读取的环境变量对象，失败时返回空对象 - */ -function readWindowsRegistryEnv(): Record { - const env: Record = {}; - - if (process.platform !== 'win32') return env; - - try { - // 使用 PowerShell .NET API 从注册表读取用户 + 系统环境变量 - // [Environment]::GetEnvironmentVariables() 合并 Machine + User 两层 - const output = execSync( - 'powershell -NoProfile -Command "' + - '$e = [Environment]::GetEnvironmentVariables();' + - 'foreach ($k in $e.Keys) { Write-Output \"$k=$($e[$k])\" }"', - { - encoding: 'utf-8', - timeout: 10000, - windowsHide: true, - }, - ); - - for (const line of output.split('\n')) { - const eqIdx = line.indexOf('='); - if (eqIdx > 0) { - const key = line.slice(0, eqIdx).trim(); - const value = line.slice(eqIdx + 1).trim(); - if (key) env[key] = value; - } - } - - logger.info(`[MCP] Registry env loaded: ${Object.keys(env).length} keys`); - } catch (err) { - logger.error('[MCP] Failed to read registry env via PowerShell', err); - } - - return env; -} - -/** - * 构建完整的子进程环境变量： - * 合并 Electron process.env + Windows 注册表环境变量。 - * 注册表值作为基础层，process.env 覆盖其上（保留 Electron 特有能力如 ELECTRON_RUN_AS_NODE）。 - */ -function buildChildEnv(): Record { - const registryEnv = readWindowsRegistryEnv(); - const processEnv = process.env as Record; - - // 注册表为基础，process.env 覆盖 - const merged: Record = {}; - for (const [k, v] of Object.entries(registryEnv)) { - merged[k] = v; - } - for (const [k, v] of Object.entries(processEnv)) { - if (v !== undefined) { - merged[k] = v; - } - } - - return merged; -} - -// ================================================================ -// 管理器 -// ================================================================ - -class McpManager { - private bridge: ChildProcess | null = null; - private initialized = false; - private requestCounter = 0; - /** 待响应的请求回调 */ - private pending = new Map void; - reject: (reason: Error) => void; - }>(); - - /** - * 初始化 MCP Manager：fork Bridge 子进程并发送 init 命令 - */ - async init(): Promise { - if (this.initialized) return; - this.initialized = true; - - logger.info('[MCP] Initializing MCP Manager (bridge architecture)...'); - - // 1. Fork bridge 子进程 - // 编译后 __dirname = dist-electron/electron/ - // bridge 编译产物也在同目录：dist-electron/electron/mcpBridge.js - const bridgePath = path.join(__dirname, 'mcpBridge.js'); - - // 构建完整环境变量（Electron process.env 可能几乎为空，需从 Windows 注册表补充） - const childEnv = buildChildEnv(); - logger.info(`[MCP] Main process env keys: ${Object.keys(process.env).length}, merged child env keys: ${Object.keys(childEnv).length}, PATH: ${(childEnv.PATH || childEnv.Path || '').slice(0, 80)}`); - - try { - this.bridge = fork(bridgePath, [], { - stdio: ['pipe', 'pipe', 'pipe', 'ipc'], - env: childEnv, - }); - - if (!this.bridge.pid) { - throw new Error('Failed to fork bridge process — no PID assigned'); - } - - logger.info(`[MCP] Bridge process forked (pid: ${this.bridge.pid})`); - - // 监听 bridge 的 stdout（日志） - this.bridge.stdout?.on('data', (data: Buffer) => { - const msg = data.toString().trim(); - if (msg) logger.info(msg); - }); - - // 监听 bridge 的 stderr（错误） - this.bridge.stderr?.on('data', (data: Buffer) => { - const msg = data.toString().trim(); - if (msg) logger.error(msg); - }); - - // 监听 bridge 的 IPC 消息 - this.bridge.on('message', (msg: BridgeResponse) => { - this.handleResponse(msg); - }); - - // bridge 进程退出 - this.bridge.on('exit', (code, signal) => { - logger.warn(`[MCP] Bridge process exited: code=${code} signal=${signal}`); - this.bridge = null; - // 拒绝所有待处理的请求 - for (const [id, pending] of this.pending) { - pending.reject(new Error('Bridge process exited')); - this.pending.delete(id); - } - }); - - // bridge 进程错误 - this.bridge.on('error', (err) => { - logger.error('[MCP] Bridge process error', err); - }); - - // 2. 解析 bin 目录和 server 配置 - const clientRoot = path.resolve(__dirname, '..', '..'); - const binDir = path.join(clientRoot, 'node_modules', '.bin'); - const isWindows = process.platform === 'win32'; - const userDataDir = app.getPath('userData'); - - const serverConfigs = [ - { - name: 'filesystem', - binName: 'mcp-server-filesystem', - args: [userDataDir], - }, - { - name: 'sequential-thinking', - binName: 'mcp-server-sequential-thinking', - args: [], - }, - { - name: 'memory', - binName: 'mcp-server-memory', - args: [], - }, - ].map((cfg) => ({ - name: cfg.name, - command: isWindows - ? path.join(binDir, `${cfg.binName}.cmd`) - : path.join(binDir, cfg.binName), - args: cfg.args, - })); - - // 3. 发送 init 命令到 bridge - const result = await this.sendRequest('init', { servers: serverConfigs }); - const status = result as Record; - - const connectedCount = Object.values(status).filter(Boolean).length; - logger.info(`[MCP] Initialization complete: ${connectedCount}/${serverConfigs.length} servers connected`); - } catch (err) { - logger.error('[MCP] Manager init failed', err); - this.killBridge(); - } - } - - /** - * 列出指定 server 的所有可用工具 - */ - async listTools(serverName: ServerName): Promise { - const result = await this.sendRequest('listTools', { serverName }); - return result as McpToolInfo[]; - } - - /** - * 调用指定 server 上的工具 - */ - async callTool( - serverName: ServerName, - toolName: string, - args?: Record, - ): Promise { - return await this.sendRequest('callTool', { serverName, toolName, args }); - } - - /** - * 获取所有 server 的连接状态 - */ - async getStatus(): Promise> { - if (!this.bridge) { - return { filesystem: false, 'sequential-thinking': false, memory: false }; - } - // 通过 listTools 间接检测连接状态 - const status = {} as Record; - const names: ServerName[] = ['filesystem', 'sequential-thinking', 'memory']; - for (const name of names) { - try { - await this.sendRequest('listTools', { serverName: name }); - status[name] = true; - } catch { - status[name] = false; - } - } - return status; - } - - /** - * 关闭所有 server（发送 shutdown 命令并终止 bridge 进程） - */ - async shutdown(): Promise { - logger.info('[MCP] Shutting down MCP Manager...'); - - if (this.bridge) { - try { - // 给 bridge 1 秒时间优雅关闭（避免阻塞退出） - await Promise.race([ - this.sendRequest('shutdown', {}), - new Promise((_, reject) => - setTimeout(() => reject(new Error('Shutdown timeout')), 1000), - ), - ]); - } catch { - // 超时或失败，忽略 - } - this.killBridge(); - } - - logger.info('[MCP] MCP Manager shut down'); - } - - // ================================================================ - // 内部方法 - // ================================================================ - - /** - * 向 bridge 发送请求并等待响应 - */ - private sendRequest(method: BridgeRequest['method'], params: Record): Promise { - return new Promise((resolve, reject) => { - if (!this.bridge) { - reject(new Error('Bridge process is not running')); - return; - } - - const id = `req_${++this.requestCounter}`; - const request: BridgeRequest = { id, method, params }; - - this.pending.set(id, { resolve, reject }); - - this.bridge.send(request, (err) => { - if (err) { - this.pending.delete(id); - reject(new Error(`Failed to send request: ${err.message}`)); - } - }); - }); - } - - /** - * 处理 bridge 返回的响应 - */ - private handleResponse(msg: BridgeResponse): void { - const pending = this.pending.get(msg.id); - if (!pending) { - logger.warn(`[MCP] Received response for unknown request: ${msg.id}`); - return; - } - - this.pending.delete(msg.id); - - if (msg.error) { - pending.reject(new Error(msg.error)); - } else { - pending.resolve(msg.result); - } - } - - /** - * 强制终止 bridge 子进程 - */ - private killBridge(): void { - if (this.bridge) { - this.bridge.kill('SIGTERM'); - // 5 秒后强杀 - const bridge = this.bridge; - setTimeout(() => { - if (bridge.connected) bridge.kill('SIGKILL'); - }, 5000); - this.bridge = null; - } - } -} - -// ================================================================ -// 单例导出 -// ================================================================ - -export const mcpManager = new McpManager(); +/** + * MCP Server 管理器（Bridge 架构） + * + * 通过 child_process.fork() 启动独立的 Node.js 子进程（mcpBridge.ts）， + * 在子进程中加载 MCP SDK 并管理 server 连接。 + * + * 为什么需要 Bridge： + * Electron 主进程是 CJS 环境，MCP SDK 的 StdioClientTransport 仅 ESM 导出。 + * Electron 的模块系统不支持 new Function + import() 技巧加载 ESM 模块。 + * Bridge 运行在纯 Node.js 中，原生支持 ESM dynamic import()。 + * + * 通信协议（JSON over IPC）： + * Manager → Bridge：{ id, method, params } + * Bridge → Manager：{ id, result?, error? } + * + * @ai-context Electron 主进程 MCP 集成入口。2026-07 拆分——环境变量 + * 合并与 server 配置在 mcpEnv.ts；本类保留 Bridge 进程生命周期与 + * 请求-响应管线。shutdown 有 1s 优雅关闭 + SIGTERM + 5s SIGKILL + * 三级兜底，防孤儿进程阻塞应用退出。 + */ + +import { fork, type ChildProcess } from 'child_process'; +import * as path from 'path'; +import { app } from 'electron'; +import { logger } from './logger.js'; +import { + buildChildEnv, buildServerConfigs, + type BridgeRequest, type BridgeResponse, type McpToolInfo, type ServerName, +} from './mcpEnv.js'; + +// ================================================================ +// 管理器 +// ================================================================ + +class McpManager { + private bridge: ChildProcess | null = null; + private initialized = false; + private requestCounter = 0; + /** 待响应的请求回调 */ + private pending = new Map void; + reject: (reason: Error) => void; + }>(); + + /** + * 初始化 MCP Manager：fork Bridge 子进程并发送 init 命令 + */ + async init(): Promise { + if (this.initialized) return; + this.initialized = true; + + logger.info('[MCP] Initializing MCP Manager (bridge architecture)...'); + + // 1. Fork bridge 子进程 + // 编译后 __dirname = dist-electron/electron/ + // bridge 编译产物也在同目录：dist-electron/electron/mcpBridge.js + const bridgePath = path.join(__dirname, 'mcpBridge.js'); + + // 构建完整环境变量（Electron process.env 可能几乎为空，需从 Windows 注册表补充） + const childEnv = buildChildEnv(); + logger.info(`[MCP] Main process env keys: ${Object.keys(process.env).length}, merged child env keys: ${Object.keys(childEnv).length}, PATH: ${(childEnv.PATH || childEnv.Path || '').slice(0, 80)}`); + + try { + this.bridge = fork(bridgePath, [], { + stdio: ['pipe', 'pipe', 'pipe', 'ipc'], + env: childEnv, + }); + + if (!this.bridge.pid) { + throw new Error('Failed to fork bridge process — no PID assigned'); + } + + logger.info(`[MCP] Bridge process forked (pid: ${this.bridge.pid})`); + + // 监听 bridge 的 stdout（日志） + this.bridge.stdout?.on('data', (data: Buffer) => { + const msg = data.toString().trim(); + if (msg) logger.info(msg); + }); + + // 监听 bridge 的 stderr（错误） + this.bridge.stderr?.on('data', (data: Buffer) => { + const msg = data.toString().trim(); + if (msg) logger.error(msg); + }); + + // 监听 bridge 的 IPC 消息 + this.bridge.on('message', (msg: BridgeResponse) => { + this.handleResponse(msg); + }); + + // bridge 进程退出 + this.bridge.on('exit', (code, signal) => { + logger.warn(`[MCP] Bridge process exited: code=${code} signal=${signal}`); + this.bridge = null; + // 拒绝所有待处理的请求 + for (const [id, pending] of this.pending) { + pending.reject(new Error('Bridge process exited')); + this.pending.delete(id); + } + }); + + // bridge 进程错误 + this.bridge.on('error', (err) => { + logger.error('[MCP] Bridge process error', err); + }); + + // 2. 解析 bin 目录和 server 配置（详见 mcpEnv.ts） + const serverConfigs = buildServerConfigs(__dirname, app.getPath('userData')); + + // 3. 发送 init 命令到 bridge + const result = await this.sendRequest('init', { servers: serverConfigs }); + const status = result as Record; + + const connectedCount = Object.values(status).filter(Boolean).length; + logger.info(`[MCP] Initialization complete: ${connectedCount}/${serverConfigs.length} servers connected`); + } catch (err) { + logger.error('[MCP] Manager init failed', err); + this.killBridge(); + } + } + + /** + * 列出指定 server 的所有可用工具 + */ + async listTools(serverName: ServerName): Promise { + const result = await this.sendRequest('listTools', { serverName }); + return result as McpToolInfo[]; + } + + /** + * 调用指定 server 上的工具 + */ + async callTool( + serverName: ServerName, + toolName: string, + args?: Record, + ): Promise { + return await this.sendRequest('callTool', { serverName, toolName, args }); + } + + /** + * 获取所有 server 的连接状态 + */ + async getStatus(): Promise> { + if (!this.bridge) { + return { filesystem: false, 'sequential-thinking': false, memory: false }; + } + // 通过 listTools 间接检测连接状态 + const status = {} as Record; + const names: ServerName[] = ['filesystem', 'sequential-thinking', 'memory']; + for (const name of names) { + try { + await this.sendRequest('listTools', { serverName: name }); + status[name] = true; + } catch { + status[name] = false; + } + } + return status; + } + + /** + * 关闭所有 server（发送 shutdown 命令并终止 bridge 进程） + */ + async shutdown(): Promise { + logger.info('[MCP] Shutting down MCP Manager...'); + + if (this.bridge) { + try { + // 给 bridge 1 秒时间优雅关闭（避免阻塞退出） + await Promise.race([ + this.sendRequest('shutdown', {}), + new Promise((_, reject) => + setTimeout(() => reject(new Error('Shutdown timeout')), 1000), + ), + ]); + } catch { + // 超时或失败，忽略 + } + this.killBridge(); + } + + logger.info('[MCP] MCP Manager shut down'); + } + + // ================================================================ + // 内部方法 + // ================================================================ + + /** + * 向 bridge 发送请求并等待响应 + */ + private sendRequest(method: BridgeRequest['method'], params: Record): Promise { + return new Promise((resolve, reject) => { + if (!this.bridge) { + reject(new Error('Bridge process is not running')); + return; + } + + const id = `req_${++this.requestCounter}`; + const request: BridgeRequest = { id, method, params }; + + this.pending.set(id, { resolve, reject }); + + this.bridge.send(request, (err) => { + if (err) { + this.pending.delete(id); + reject(new Error(`Failed to send request: ${err.message}`)); + } + }); + }); + } + + /** + * 处理 bridge 返回的响应 + */ + private handleResponse(msg: BridgeResponse): void { + const pending = this.pending.get(msg.id); + if (!pending) { + logger.warn(`[MCP] Received response for unknown request: ${msg.id}`); + return; + } + + this.pending.delete(msg.id); + + if (msg.error) { + pending.reject(new Error(msg.error)); + } else { + pending.resolve(msg.result); + } + } + + /** + * 强制终止 bridge 子进程 + */ + private killBridge(): void { + if (this.bridge) { + this.bridge.kill('SIGTERM'); + // 5 秒后强杀 + const bridge = this.bridge; + setTimeout(() => { + if (bridge.connected) bridge.kill('SIGKILL'); + }, 5000); + this.bridge = null; + } + } +} + +// ================================================================ +// 单例导出 +// ================================================================ + +export const mcpManager = new McpManager(); diff --git a/client/electron/mediaCaptureHandlers.ts b/client/electron/mediaCaptureHandlers.ts new file mode 100644 index 00000000..1282ebe4 --- /dev/null +++ b/client/electron/mediaCaptureHandlers.ts @@ -0,0 +1,224 @@ +/** + * 系统音频捕获 & 视频录制 IPC Handler + * + * @ai-context: 从 captureHandlers.ts 拆出。音频/视频数据块均由渲染进程 + * 经 ipcMain.on 回传（audio_capture_chunk / video_record_chunk），两处 + * 都有 SEC-005 sender.id 验证——仅接受主窗口数据，防第三方窗口注入； + * 音频块另有运行时结构断言（audioBuffer/sampleRate/channels/durationMs）。 + * @ai-context: 所有 start 入口均幂等（先 dispose 旧实例再建新）。 + */ +import { BrowserWindow, ipcMain } from 'electron'; +import { AudioCapture, listAudioSources } from './audioCapture.js'; +import type { AudioCaptureOptions, AudioChunk } from './audioCapture.js'; +import { VideoRecorder } from './videoRecorder.js'; +import type { VideoRecordOptions } from './videoRecorder.js'; +import { safeHandle, getMainWindowId } from './ipcUtils.js'; +import { logger } from './logger.js'; + +// ================================================================ +// 模块级状态 +// ================================================================ + +/** 当前活跃的音频捕获实例 */ +let activeAudioCapture: AudioCapture | null = null; + +/** @ai-context Path C 全程录制：当前活跃的视频录制实例 */ +let activeVideoRecorder: VideoRecorder | null = null; + +/** SEC-005 sender 验证：非主窗口来源返回 false 并告警 */ +function verifySender(senderId: number, channel: string): boolean { + const mainId = getMainWindowId(); + if (mainId !== null && senderId !== mainId) { + logger.warn( + `[IPC] Sender verification failed for "${channel}": ` + + `expected sender.id=${mainId}, got ${senderId}` + ); + return false; + } + return true; +} + +/** + * 注册音频捕获与视频录制相关的 IPC handler + */ +export function registerMediaCaptureHandlers(): void { + // ---- 系统音频捕获 ---- + + safeHandle('audio_list_sources', async () => { + try { + return await listAudioSources(); + } catch (err) { + logger.error('[IPC] audio_list_sources failed:', err); + return []; + } + }); + + safeHandle( + 'audio_capture_start', + async (event, options?: Partial & { sourceId?: string }) => { + if (activeAudioCapture) { + activeAudioCapture.dispose(); + activeAudioCapture = null; + } + + const senderWin = BrowserWindow.fromWebContents(event.sender); + if (!senderWin || senderWin.isDestroyed()) { + return { success: false, error: 'No valid window' }; + } + + const captureOptions: Partial = { + chunkDurationMs: options?.chunkDurationMs, + sampleRate: options?.sampleRate, + channels: options?.channels, + }; + + activeAudioCapture = new AudioCapture(captureOptions, (chunk: AudioChunk) => { + if (senderWin && !senderWin.isDestroyed()) { + senderWin.webContents.send('audio_capture_chunk', chunk); + } + }); + + try { + await activeAudioCapture.start(senderWin, options?.sourceId); + logger.info('[IPC] audio_capture_start 已启动'); + return { success: true }; + } catch (err) { + const message = err instanceof Error ? err.message : String(err); + logger.error('[IPC] audio_capture_start failed:', message); + activeAudioCapture.dispose(); + activeAudioCapture = null; + return { success: false, error: message }; + } + }, + ); + + safeHandle('audio_capture_stop', async () => { + if (activeAudioCapture) { + activeAudioCapture.dispose(); + activeAudioCapture = null; + logger.info('[IPC] audio_capture_stop 已停止'); + } + return { success: true }; + }); + + ipcMain.on( + 'audio_capture_chunk', + (_event, data: unknown) => { + // SEC-005: sender 验证，仅接受主窗口的音频数据 + if (!verifySender(_event.sender.id, 'audio_capture_chunk')) return; + + // SEC: 运行时类型断言 — 防止恶意或格式错误的数据 + if ( + !data || + typeof data !== 'object' || + !('audioBuffer' in data) || + typeof (data as Record).sampleRate !== 'number' || + typeof (data as Record).channels !== 'number' || + typeof (data as Record).durationMs !== 'number' + ) { + logger.warn('[IPC] audio_capture_chunk: invalid data format, dropping chunk'); + return; + } + + const chunk = data as { audioBuffer: ArrayBuffer; sampleRate: number; channels: number; durationMs: number }; + if (activeAudioCapture && activeAudioCapture.isCapturing) { + activeAudioCapture.handleRendererChunk(chunk); + } + }, + ); + + // ---- Path C 视频录制 ---- + + safeHandle( + 'video_record_start', + async (event, sourceId: string, options?: VideoRecordOptions) => { + // 幂等：先清理旧实例 + if (activeVideoRecorder) { + activeVideoRecorder.dispose(); + activeVideoRecorder = null; + } + + const senderWin = BrowserWindow.fromWebContents(event.sender); + if (!senderWin || senderWin.isDestroyed()) { + return { success: false, error: 'No valid window' }; + } + + activeVideoRecorder = new VideoRecorder(options); + activeVideoRecorder.bindWindow(senderWin); + + try { + activeVideoRecorder.startRecording(sourceId, options); + logger.info('[IPC] video_record_start 已启动'); + return { success: true }; + } catch (err) { + const message = err instanceof Error ? err.message : String(err); + logger.error('[IPC] video_record_start failed:', message); + activeVideoRecorder.dispose(); + activeVideoRecorder = null; + return { success: false, error: message }; + } + }, + ); + + safeHandle('video_record_stop', async () => { + if (!activeVideoRecorder) { + return { success: false, error: 'No active recording' }; + } + try { + const filePath = await activeVideoRecorder.stopRecording(); + const finalStatus = activeVideoRecorder.status; + logger.info('[IPC] video_record_stop 已完成'); + activeVideoRecorder.dispose(); + activeVideoRecorder = null; + return { success: true, filePath, finalStatus }; + } catch (err) { + const message = err instanceof Error ? err.message : String(err); + logger.error('[IPC] video_record_stop failed:', message); + activeVideoRecorder?.dispose(); + activeVideoRecorder = null; + return { success: false, error: message }; + } + }); + + safeHandle('video_record_pause', async () => { + activeVideoRecorder?.pauseRecording(); + return { success: true }; + }); + + safeHandle('video_record_resume', async () => { + activeVideoRecorder?.resumeRecording(); + return { success: true }; + }); + + safeHandle('video_record_status', async () => { + return activeVideoRecorder?.status ?? { + isRecording: false, isPaused: false, duration: 0, fileSizeBytes: 0, filePath: null, + }; + }); + + // 渲染进程回传视频数据块 + ipcMain.on('video_record_chunk', (_event, chunkBuffer: ArrayBuffer) => { + if (!verifySender(_event.sender.id, 'video_record_chunk')) return; + activeVideoRecorder?.handleRendererChunk(chunkBuffer); + }); + + // 渲染进程上报录制错误 + ipcMain.on('video_record_error', (_event, errorInfo: { message: string }) => { + if (!verifySender(_event.sender.id, 'video_record_error')) return; + activeVideoRecorder?.handleRendererError(errorInfo); + }); +} + +/** + * 释放音频/视频采集资源 + */ +export function disposeMediaCaptureHandlers(): void { + if (activeAudioCapture) { + activeAudioCapture.dispose(); + activeAudioCapture = null; + } + if (activeVideoRecorder) { + activeVideoRecorder.dispose(); + activeVideoRecorder = null; + } +} diff --git a/client/electron/preload.ts b/client/electron/preload.ts index cd6bc1ad..09c20909 100644 --- a/client/electron/preload.ts +++ b/client/electron/preload.ts @@ -1,241 +1,243 @@ -/** - * Electron 预加载脚本 - * - * 在渲染进程与主进程之间建立安全的通信桥梁， - * 通过 contextBridge 暴露白名单内的 IPC channel。 - */ - -import { contextBridge, ipcRenderer } from 'electron'; - -/** 允许渲染进程调用的 IPC channel 白名单 */ -const ALLOWED_CHANNELS = [ - 'ai_summarize', - 'ai_generate_cards', - 'ai_evaluate', - 'ai_recommend_duration', - 'ai_feynman_question', - 'ai_feynman_evaluate_answers', - 'ai_optimize_card', - 'ai_tag_content', - 'ai_sort_inspiration', - 'ai_anchor_point', - 'ai_socratic', - 'ai_socratic_evaluate', - 'ai_socratic_deepening', - 'ai_predict', - 'ai_rescue', - 'ai_vision_extract', - 'ai_session_analyze', - 'ai_video_analyze', - 'ai_merge_notes', - 'ai:set-gateway-url', - 'screen_list_windows', - 'screen_watch_windows_start', - 'screen_watch_windows_stop', - 'screen_capture_start', - 'screen_capture_stop', - 'audio_list_sources', - 'audio_capture_start', - 'audio_capture_stop', - 'get-app-version', - 'dialog:selectDirectory', - 'get-default-storage-path', - 'update:check', - 'update:download', - 'update:install', - 'update:set-auto-check', - 'window:close-action', - 'window:minimize', - 'window:maximize', - 'window:close', - 'window:isMaximized', - // v0.9.0: 备份相关 IPC channel - 'backup:save', - 'backup:open', - // v1.0.0: 数据访问 IPC channel - 'db:query', - 'db:insert', - 'db:update', - 'db:delete', - 'db:search', - 'db:batch', - // v1.0.0: 数据迁移 IPC channel - 'migration:check', - 'migration:import-table', - 'migration:complete', - // v1.1.0: 存储路径切换 IPC channel - 'storage:change-path', - 'storage:get-active-path', - // 退出前同步完成通知 - 'sync:quit-complete', - // 文件读取（课堂助手视频分析） - 'fs:read-file', - // Path C 视频录制 IPC channel - 'video_record_start', - 'video_record_stop', - 'video_record_pause', - 'video_record_resume', - 'video_record_status', - // Ollama 本地推理 IPC channel - 'ollama:get-status', - 'ollama:set-config', - 'ollama:pull-model', - 'ollama:delete-model', - // AI 流式输出 IPC channel - 'ai:stream:start', - 'ai:stream:cancel', -] as const; - -/** 允许渲染进程监听的事件 channel 白名单（主进程 → 渲染进程推送） */ -const ALLOWED_EVENT_CHANNELS = [ - 'screen_capture_frame', - 'screen_windows_changed', - 'audio_capture_chunk', - 'audio_capture_do_start', - 'audio_capture_do_stop', - 'update-status', - 'window:closing', - 'window:maximized-changed', - 'sync:before-quit', - // Path C 视频录制状态推送 - 'video_record_status', - 'video_record_error', - 'video_record_do_start', - 'video_record_do_stop', - // Ollama 模型拉取进度推送 - 'ollama:pull-progress', - // AI 流式输出推送 - 'ai:stream:chunk', - 'ai:stream:end', - 'ai:stream:error', -] as const; - -/** 允许渲染进程单向发送的 channel 白名单（渲染进程 → 主进程，fire-and-forget） */ -const ALLOWED_SEND_CHANNELS = [ - 'audio_capture_chunk', - // Path C 视频录制数据块回传 - 'video_record_chunk', - 'video_record_started', - 'video_record_stopped', - 'video_record_error', -] as const; - -type AllowedChannel = (typeof ALLOWED_CHANNELS)[number]; -type AllowedEventChannel = (typeof ALLOWED_EVENT_CHANNELS)[number]; -type AllowedSendChannel = (typeof ALLOWED_SEND_CHANNELS)[number]; - -/** - * 暴露 electronAPI 对象到渲染进程的 window 全局变量， - * 仅允许白名单内的 channel 通过，防止任意 IPC 调用。 - */ -contextBridge.exposeInMainWorld('electronAPI', { - invoke: (channel: AllowedChannel, ...args: unknown[]) => { - if ((ALLOWED_CHANNELS as readonly string[]).includes(channel)) { - return ipcRenderer.invoke(channel, ...args); - } - return Promise.reject(new Error(`[preload] 不允许的 IPC channel: ${channel}`)); - }, - on: (channel: AllowedEventChannel, callback: (...args: unknown[]) => void) => { - if ((ALLOWED_EVENT_CHANNELS as readonly string[]).includes(channel)) { - // 保留包装后的 handler 引用，卸载时只移除自己的监听器。 - // 注意：不能使用 removeAllListeners(channel)——多个组件会订阅同一 - // channel（如 audio_capture_chunk），removeAllListeners 会把其他 - // 组件的监听器一并清除，导致音频流静默中断。 - const handler = (_event: unknown, ...args: unknown[]) => callback(...args); - ipcRenderer.on(channel, handler); - return () => { - ipcRenderer.removeListener(channel, handler); - }; - } - console.warn(`[preload] 不允许的事件 channel: ${channel}`); - return () => {}; - }, - send: (channel: AllowedSendChannel, ...args: unknown[]) => { - if ((ALLOWED_SEND_CHANNELS as readonly string[]).includes(channel)) { - ipcRenderer.send(channel, ...args); - } else { - console.warn(`[preload] 不允许的发送 channel: ${channel}`); - } - }, - /** 监听主进程发出的窗口关闭事件 */ - onWindowClosing: (callback: () => void) => { - ipcRenderer.on('window:closing', callback); - return () => ipcRenderer.removeAllListeners('window:closing'); - }, - /** 向主进程发送关闭行为选择 */ - closeAction: (action: 'quit' | 'minimize' | 'cancel', remember: boolean) => { - return ipcRenderer.invoke('window:close-action', action, remember); - }, - // ---- 窗口控制 API ---- - windowMinimize: () => ipcRenderer.invoke('window:minimize'), - windowMaximize: () => ipcRenderer.invoke('window:maximize'), - windowClose: () => ipcRenderer.invoke('window:close'), - windowIsMaximized: () => ipcRenderer.invoke('window:isMaximized') as Promise, - onMaximizedChanged: (callback: (isMaximized: boolean) => void) => { - const handler = (_event: unknown, isMaximized: boolean) => callback(isMaximized); - ipcRenderer.on('window:maximized-changed', handler); - return () => ipcRenderer.removeListener('window:maximized-changed', handler); - }, - /** 监听退出前同步事件 */ - onSyncBeforeQuit: (callback: () => void) => { - ipcRenderer.on('sync:before-quit', callback); - return () => ipcRenderer.removeAllListeners('sync:before-quit'); - }, - /** 通知主进程同步已完成 */ - notifySyncComplete: () => { - ipcRenderer.invoke('sync:quit-complete'); - }, - // ---- 自动更新 API ---- - /** 设置是否自动检查更新 */ - setAutoUpdate: (enabled: boolean) => ipcRenderer.invoke('update:set-auto-check', enabled), - // ---- v0.9.0: 备份 API ---- - /** 保存备份文件（显示系统保存对话框） */ - backupSave: (data: string, defaultName?: string) => ipcRenderer.invoke('backup:save', data, defaultName), - /** 打开备份文件（显示系统打开对话框，返回文件内容） */ - backupOpen: () => ipcRenderer.invoke('backup:open'), - // ---- v1.0.0: 数据访问 API ---- - db: { - query: (table: string, method: string, args?: unknown[]) => - ipcRenderer.invoke('db:query', { table, method, args }), - insert: (table: string, item: unknown) => - ipcRenderer.invoke('db:insert', { table, item }), - update: (table: string, id: string, changes: unknown) => - ipcRenderer.invoke('db:update', { table, id, changes }), - delete: (table: string, id: string) => - ipcRenderer.invoke('db:delete', { table, id }), - search: (table: string, query: string) => - ipcRenderer.invoke('db:search', { table, query }), - batch: (operations: unknown[]) => - ipcRenderer.invoke('db:batch', { operations }), - }, - // ---- v1.0.0: 数据迁移 API ---- - migration: { - check: () => ipcRenderer.invoke('migration:check'), - importTable: (table: string, rows: unknown[]) => - ipcRenderer.invoke('migration:import-table', { table, rows }), - complete: () => ipcRenderer.invoke('migration:complete'), - }, - // ---- v1.1.0: 存储路径管理 API ---- - storage: { - changePath: (newPath: string) => - ipcRenderer.invoke('storage:change-path', { newPath }), - getActivePath: () => - ipcRenderer.invoke('storage:get-active-path'), - }, - // ---- Ollama 本地推理 API ---- - ollama: { - getStatus: (forceRefresh?: boolean) => - ipcRenderer.invoke('ollama:get-status', forceRefresh), - setConfig: (config: Record) => - ipcRenderer.invoke('ollama:set-config', config), - pullModel: (modelName: string) => - ipcRenderer.invoke('ollama:pull-model', modelName), - deleteModel: (modelName: string) => - ipcRenderer.invoke('ollama:delete-model', modelName), - onPullProgress: (callback: (...args: unknown[]) => void) => { - const handler = (_event: unknown, ...args: unknown[]) => callback(...args); - ipcRenderer.on('ollama:pull-progress', handler); - return () => ipcRenderer.removeListener('ollama:pull-progress', handler); - }, - }, -}); +/** + * Electron 预加载脚本 + * + * 在渲染进程与主进程之间建立安全的通信桥梁， + * 通过 contextBridge 暴露白名单内的 IPC channel。 + * + * @ai-context: IPC 桥接安全边界（contextBridge 白名单暴露）——渲染进程唯一的主进程访问面，新增通道必须显式登记，任何修改需安全审查。 + */ + +import { contextBridge, ipcRenderer } from 'electron'; + +/** 允许渲染进程调用的 IPC channel 白名单 */ +const ALLOWED_CHANNELS = [ + 'ai_summarize', + 'ai_generate_cards', + 'ai_evaluate', + 'ai_recommend_duration', + 'ai_feynman_question', + 'ai_feynman_evaluate_answers', + 'ai_optimize_card', + 'ai_tag_content', + 'ai_sort_inspiration', + 'ai_anchor_point', + 'ai_socratic', + 'ai_socratic_evaluate', + 'ai_socratic_deepening', + 'ai_predict', + 'ai_rescue', + 'ai_vision_extract', + 'ai_session_analyze', + 'ai_video_analyze', + 'ai_merge_notes', + 'ai:set-gateway-url', + 'screen_list_windows', + 'screen_watch_windows_start', + 'screen_watch_windows_stop', + 'screen_capture_start', + 'screen_capture_stop', + 'audio_list_sources', + 'audio_capture_start', + 'audio_capture_stop', + 'get-app-version', + 'dialog:selectDirectory', + 'get-default-storage-path', + 'update:check', + 'update:download', + 'update:install', + 'update:set-auto-check', + 'window:close-action', + 'window:minimize', + 'window:maximize', + 'window:close', + 'window:isMaximized', + // v0.9.0: 备份相关 IPC channel + 'backup:save', + 'backup:open', + // v1.0.0: 数据访问 IPC channel + 'db:query', + 'db:insert', + 'db:update', + 'db:delete', + 'db:search', + 'db:batch', + // v1.0.0: 数据迁移 IPC channel + 'migration:check', + 'migration:import-table', + 'migration:complete', + // v1.1.0: 存储路径切换 IPC channel + 'storage:change-path', + 'storage:get-active-path', + // 退出前同步完成通知 + 'sync:quit-complete', + // 文件读取（课堂助手视频分析） + 'fs:read-file', + // Path C 视频录制 IPC channel + 'video_record_start', + 'video_record_stop', + 'video_record_pause', + 'video_record_resume', + 'video_record_status', + // Ollama 本地推理 IPC channel + 'ollama:get-status', + 'ollama:set-config', + 'ollama:pull-model', + 'ollama:delete-model', + // AI 流式输出 IPC channel + 'ai:stream:start', + 'ai:stream:cancel', +] as const; + +/** 允许渲染进程监听的事件 channel 白名单（主进程 → 渲染进程推送） */ +const ALLOWED_EVENT_CHANNELS = [ + 'screen_capture_frame', + 'screen_windows_changed', + 'audio_capture_chunk', + 'audio_capture_do_start', + 'audio_capture_do_stop', + 'update-status', + 'window:closing', + 'window:maximized-changed', + 'sync:before-quit', + // Path C 视频录制状态推送 + 'video_record_status', + 'video_record_error', + 'video_record_do_start', + 'video_record_do_stop', + // Ollama 模型拉取进度推送 + 'ollama:pull-progress', + // AI 流式输出推送 + 'ai:stream:chunk', + 'ai:stream:end', + 'ai:stream:error', +] as const; + +/** 允许渲染进程单向发送的 channel 白名单（渲染进程 → 主进程，fire-and-forget） */ +const ALLOWED_SEND_CHANNELS = [ + 'audio_capture_chunk', + // Path C 视频录制数据块回传 + 'video_record_chunk', + 'video_record_started', + 'video_record_stopped', + 'video_record_error', +] as const; + +type AllowedChannel = (typeof ALLOWED_CHANNELS)[number]; +type AllowedEventChannel = (typeof ALLOWED_EVENT_CHANNELS)[number]; +type AllowedSendChannel = (typeof ALLOWED_SEND_CHANNELS)[number]; + +/** + * 暴露 electronAPI 对象到渲染进程的 window 全局变量， + * 仅允许白名单内的 channel 通过，防止任意 IPC 调用。 + */ +contextBridge.exposeInMainWorld('electronAPI', { + invoke: (channel: AllowedChannel, ...args: unknown[]) => { + if ((ALLOWED_CHANNELS as readonly string[]).includes(channel)) { + return ipcRenderer.invoke(channel, ...args); + } + return Promise.reject(new Error(`[preload] 不允许的 IPC channel: ${channel}`)); + }, + on: (channel: AllowedEventChannel, callback: (...args: unknown[]) => void) => { + if ((ALLOWED_EVENT_CHANNELS as readonly string[]).includes(channel)) { + // 保留包装后的 handler 引用，卸载时只移除自己的监听器。 + // 注意：不能使用 removeAllListeners(channel)——多个组件会订阅同一 + // channel（如 audio_capture_chunk），removeAllListeners 会把其他 + // 组件的监听器一并清除，导致音频流静默中断。 + const handler = (_event: unknown, ...args: unknown[]) => callback(...args); + ipcRenderer.on(channel, handler); + return () => { + ipcRenderer.removeListener(channel, handler); + }; + } + console.warn(`[preload] 不允许的事件 channel: ${channel}`); + return () => {}; + }, + send: (channel: AllowedSendChannel, ...args: unknown[]) => { + if ((ALLOWED_SEND_CHANNELS as readonly string[]).includes(channel)) { + ipcRenderer.send(channel, ...args); + } else { + console.warn(`[preload] 不允许的发送 channel: ${channel}`); + } + }, + /** 监听主进程发出的窗口关闭事件 */ + onWindowClosing: (callback: () => void) => { + ipcRenderer.on('window:closing', callback); + return () => ipcRenderer.removeAllListeners('window:closing'); + }, + /** 向主进程发送关闭行为选择 */ + closeAction: (action: 'quit' | 'minimize' | 'cancel', remember: boolean) => { + return ipcRenderer.invoke('window:close-action', action, remember); + }, + // ---- 窗口控制 API ---- + windowMinimize: () => ipcRenderer.invoke('window:minimize'), + windowMaximize: () => ipcRenderer.invoke('window:maximize'), + windowClose: () => ipcRenderer.invoke('window:close'), + windowIsMaximized: () => ipcRenderer.invoke('window:isMaximized') as Promise, + onMaximizedChanged: (callback: (isMaximized: boolean) => void) => { + const handler = (_event: unknown, isMaximized: boolean) => callback(isMaximized); + ipcRenderer.on('window:maximized-changed', handler); + return () => ipcRenderer.removeListener('window:maximized-changed', handler); + }, + /** 监听退出前同步事件 */ + onSyncBeforeQuit: (callback: () => void) => { + ipcRenderer.on('sync:before-quit', callback); + return () => ipcRenderer.removeAllListeners('sync:before-quit'); + }, + /** 通知主进程同步已完成 */ + notifySyncComplete: () => { + ipcRenderer.invoke('sync:quit-complete'); + }, + // ---- 自动更新 API ---- + /** 设置是否自动检查更新 */ + setAutoUpdate: (enabled: boolean) => ipcRenderer.invoke('update:set-auto-check', enabled), + // ---- v0.9.0: 备份 API ---- + /** 保存备份文件（显示系统保存对话框） */ + backupSave: (data: string, defaultName?: string) => ipcRenderer.invoke('backup:save', data, defaultName), + /** 打开备份文件（显示系统打开对话框，返回文件内容） */ + backupOpen: () => ipcRenderer.invoke('backup:open'), + // ---- v1.0.0: 数据访问 API ---- + db: { + query: (table: string, method: string, args?: unknown[]) => + ipcRenderer.invoke('db:query', { table, method, args }), + insert: (table: string, item: unknown) => + ipcRenderer.invoke('db:insert', { table, item }), + update: (table: string, id: string, changes: unknown) => + ipcRenderer.invoke('db:update', { table, id, changes }), + delete: (table: string, id: string) => + ipcRenderer.invoke('db:delete', { table, id }), + search: (table: string, query: string) => + ipcRenderer.invoke('db:search', { table, query }), + batch: (operations: unknown[]) => + ipcRenderer.invoke('db:batch', { operations }), + }, + // ---- v1.0.0: 数据迁移 API ---- + migration: { + check: () => ipcRenderer.invoke('migration:check'), + importTable: (table: string, rows: unknown[]) => + ipcRenderer.invoke('migration:import-table', { table, rows }), + complete: () => ipcRenderer.invoke('migration:complete'), + }, + // ---- v1.1.0: 存储路径管理 API ---- + storage: { + changePath: (newPath: string) => + ipcRenderer.invoke('storage:change-path', { newPath }), + getActivePath: () => + ipcRenderer.invoke('storage:get-active-path'), + }, + // ---- Ollama 本地推理 API ---- + ollama: { + getStatus: (forceRefresh?: boolean) => + ipcRenderer.invoke('ollama:get-status', forceRefresh), + setConfig: (config: Record) => + ipcRenderer.invoke('ollama:set-config', config), + pullModel: (modelName: string) => + ipcRenderer.invoke('ollama:pull-model', modelName), + deleteModel: (modelName: string) => + ipcRenderer.invoke('ollama:delete-model', modelName), + onPullProgress: (callback: (...args: unknown[]) => void) => { + const handler = (_event: unknown, ...args: unknown[]) => callback(...args); + ipcRenderer.on('ollama:pull-progress', handler); + return () => ipcRenderer.removeListener('ollama:pull-progress', handler); + }, + }, +}); diff --git a/client/electron/screenCapture.ts b/client/electron/screenCapture.ts index 08e6fcbf..423eb114 100644 --- a/client/electron/screenCapture.ts +++ b/client/electron/screenCapture.ts @@ -1,271 +1,273 @@ -/** - * Electron 主进程屏幕截图采集模块 - * - * 使用 desktopCapturer API 定时截取指定窗口画面， - * 通过 IPC 将 PNG 数据推送到渲染进程。 - */ - -import { desktopCapturer, DesktopCapturerSource, BrowserWindow } from 'electron'; -import { logger } from './logger'; - -// ================================================================ -// 类型定义 -// ================================================================ - -/** 可捕获窗口信息 */ -export interface WindowInfo { - id: string; - name: string; - displayId: string; -} - -/** 截图采集配置 */ -export interface ScreenCaptureOptions { - interval: number; // 截图间隔 ms，默认 5000 - windowId?: string; // 目标窗口 source ID -} - -/** 截图帧数据（通过 IPC 传输到渲染进程） */ -export interface ScreenshotFrameData { - imageBuffer: ArrayBuffer; // PNG 图片数据 - width: number; - height: number; - timestamp: number; // 单调递增时间戳 (ms) - sourceId: string; // 来源 source ID - hasChanged: boolean; // 帧变化检测结果（false 表示与上一帧相同，可跳过） -} - -// ================================================================ -// 截图采集器 -// ================================================================ - -const DEFAULT_INTERVAL = 5000; -const THUMBNAIL_SIZE = { width: 1920, height: 1080 }; - -/** 单调递增时间戳生成器 */ -let lastTimestamp = 0; -function monotonicTimestamp(): number { - const now = Date.now(); - lastTimestamp = now > lastTimestamp ? now : lastTimestamp + 1; - return lastTimestamp; -} - -export class ScreenCapture { - private timer: ReturnType | null = null; - private readonly options: Required> & - Pick; - private readonly onScreenshot: (data: ScreenshotFrameData) => void; - private disposed = false; - - /** 上一帧的分块 hash 数组，用于快速判断画面是否变化 */ - private lastFrameBlockHashes: string[] = []; - - constructor( - options: ScreenCaptureOptions, - onScreenshot: (data: ScreenshotFrameData) => void, - ) { - this.options = { - interval: options.interval || DEFAULT_INTERVAL, - windowId: options.windowId, - }; - this.onScreenshot = onScreenshot; - } - - /** - * 列出所有可捕获的窗口和屏幕源 - */ - static async listWindows(): Promise { - const sources = await desktopCapturer.getSources({ - types: ['window', 'screen'], - thumbnailSize: { width: 1, height: 1 }, // 列表不需要缩略图 - }); - - return sources.map((source) => ({ - id: source.id, - name: source.name, - displayId: source.display_id ?? '', - })); - } - - /** - * 开始定时截图采集 - */ - start(): void { - if (this.timer !== null || this.disposed) return; - - logger.info( - `[ScreenCapture] 开始采集, interval=${this.options.interval}ms, windowId=${this.options.windowId ?? 'auto'}`, - ); - - // 立即执行一次，然后定时执行 - this.captureAndEmit(); - this.timer = setInterval(() => { - this.captureAndEmit(); - }, this.options.interval); - } - - /** - * 停止截图采集 - */ - stop(): void { - if (this.timer !== null) { - clearInterval(this.timer); - this.timer = null; - logger.info('[ScreenCapture] 停止采集'); - } - } - - /** - * 单次截图（不启动定时器） - */ - async captureOnce(): Promise { - const source = await this.resolveSource(); - if (!source) { - console.warn('[ScreenCapture] captureOnce: 未找到可用的截图源'); - return null; - } - - return this.extractFrame(source); - } - - /** - * 销毁实例，释放所有资源 - */ - dispose(): void { - this.stop(); - this.disposed = true; - this.lastFrameBlockHashes = []; - logger.info('[ScreenCapture] 已销毁'); - } - - // ================================================================ - // 内部方法 - // ================================================================ - - /** 执行一次截图并通过回调发送 */ - private async captureAndEmit(): Promise { - try { - const source = await this.resolveSource(); - if (!source) { - logger.warn('[ScreenCapture] 目标窗口不可见（可能已最小化），跳过本帧'); - return; - } - - const frame = this.extractFrame(source); - if (frame) { - this.onScreenshot(frame); - } - } catch (error) { - logger.error('[ScreenCapture] 截图失败:', error); - } - } - - /** 解析目标截图源 */ - private async resolveSource(): Promise { - const sources = await desktopCapturer.getSources({ - types: ['window', 'screen'], - thumbnailSize: THUMBNAIL_SIZE, - }); - - if (sources.length === 0) return null; - - // 如果指定了 windowId，按 ID 匹配 - if (this.options.windowId) { - const matched = sources.find((s) => s.id === this.options.windowId); - if (matched) return matched; - console.warn( - `[ScreenCapture] 未找到 windowId=${this.options.windowId} 的源，回退到首个屏幕源`, - ); - } - - // 回退策略：优先选屏幕源，否则选第一个 - const screenSource = sources.find((s) => s.id.startsWith('screen:')); - return screenSource ?? sources[0]; - } - - /** 从 DesktopCapturerSource 提取帧数据（JPEG 压缩输出，降低 AI 分析传输体积） */ - private extractFrame(source: DesktopCapturerSource): ScreenshotFrameData | null { - const nativeImage = source.thumbnail; - if (!nativeImage || nativeImage.isEmpty()) { - logger.warn(`[ScreenCapture] source "${source.name}" 的缩略图为空`); - return null; - } - - // 缩放到 1280px 宽（多模态模型内部会缩到 672px，无需原尺寸） - const resized = nativeImage.resize({ width: 1280 }); - // JPEG 压缩：质量 75（板书场景可后续在渲染进程按需提高） - const jpegBuffer = resized.toJPEG(75); - const size = resized.getSize(); - - // 复制一份纯 ArrayBuffer - const arrayBuffer = new ArrayBuffer(jpegBuffer.byteLength); - new Uint8Array(arrayBuffer).set(jpegBuffer); - - const hasChanged = this.hasFrameChanged(arrayBuffer); - - return { - imageBuffer: arrayBuffer, - width: size.width, - height: size.height, - timestamp: monotonicTimestamp(), - sourceId: source.id, - hasChanged, - }; - } - - /** - * 基于分块采样 + hash 对比的帧变化检测（含 1px 容差） - * - * 将截图数据分为 8 个区域块，每块采样 ~60 字节（共约 500 字节）， - * 分别计算 hash 后对比。为过滤 1px 鼠标微动导致的误判， - * 要求至少 2 个块同时发生变化才认为帧已变化。 - * 无论是否判定为“变化”，均更新基准 hash，防止亚阈值变化累积。 - */ - private hasFrameChanged(imageBuffer: ArrayBuffer): boolean { - const view = new Uint8Array(imageBuffer); - const size = view.length; - if (size === 0) return false; - - // 分为 8 个块，每块采样 ~60 字节，总采样约 500 字节 - const BLOCK_COUNT = 8; - const SAMPLES_PER_BLOCK = 60; - const blockHashes: string[] = []; - - for (let b = 0; b < BLOCK_COUNT; b++) { - const blockStart = Math.floor((size * b) / BLOCK_COUNT); - const blockEnd = Math.floor((size * (b + 1)) / BLOCK_COUNT); - const blockSize = blockEnd - blockStart; - if (blockSize <= 0) { - blockHashes.push(''); - continue; - } - - const step = Math.max(1, Math.floor(blockSize / SAMPLES_PER_BLOCK)); - let hash = blockSize.toString(36); - for (let i = blockStart; i < blockEnd; i += step) { - hash += view[i].toString(16); - } - blockHashes.push(hash); - } - - // 与上一帧的分块 hash 逐块对比，统计变化块数 - // 要求至少 2 个块变化才认为帧已变化（过滤 1px 鼠标微动误判） - const MIN_CHANGED_BLOCKS = 2; - let changedCount = 0; - if (blockHashes.length === this.lastFrameBlockHashes.length) { - for (let i = 0; i < blockHashes.length; i++) { - if (blockHashes[i] !== this.lastFrameBlockHashes[i]) { - changedCount++; - if (changedCount >= MIN_CHANGED_BLOCKS) break; // 提前退出 - } - } - } else { - // 块数不一致（首帧或尺寸变化），视为已变化 - changedCount = MIN_CHANGED_BLOCKS; - } - - // 无论是否判定为变化，均更新基准 hash，防止亚阈值变化累积 - this.lastFrameBlockHashes = blockHashes; - return changedCount >= MIN_CHANGED_BLOCKS; - } -} +/** + * Electron 主进程屏幕截图采集模块 + * + * 使用 desktopCapturer API 定时截取指定窗口画面， + * 通过 IPC 将 PNG 数据推送到渲染进程。 + * + * @ai-context: 定时截图采集器：desktopCapturer 抓帧、间隔可配（100ms-60s 边界校验）。 + */ + +import { desktopCapturer, DesktopCapturerSource, BrowserWindow } from 'electron'; +import { logger } from './logger'; + +// ================================================================ +// 类型定义 +// ================================================================ + +/** 可捕获窗口信息 */ +export interface WindowInfo { + id: string; + name: string; + displayId: string; +} + +/** 截图采集配置 */ +export interface ScreenCaptureOptions { + interval: number; // 截图间隔 ms，默认 5000 + windowId?: string; // 目标窗口 source ID +} + +/** 截图帧数据（通过 IPC 传输到渲染进程） */ +export interface ScreenshotFrameData { + imageBuffer: ArrayBuffer; // PNG 图片数据 + width: number; + height: number; + timestamp: number; // 单调递增时间戳 (ms) + sourceId: string; // 来源 source ID + hasChanged: boolean; // 帧变化检测结果（false 表示与上一帧相同，可跳过） +} + +// ================================================================ +// 截图采集器 +// ================================================================ + +const DEFAULT_INTERVAL = 5000; +const THUMBNAIL_SIZE = { width: 1920, height: 1080 }; + +/** 单调递增时间戳生成器 */ +let lastTimestamp = 0; +function monotonicTimestamp(): number { + const now = Date.now(); + lastTimestamp = now > lastTimestamp ? now : lastTimestamp + 1; + return lastTimestamp; +} + +export class ScreenCapture { + private timer: ReturnType | null = null; + private readonly options: Required> & + Pick; + private readonly onScreenshot: (data: ScreenshotFrameData) => void; + private disposed = false; + + /** 上一帧的分块 hash 数组，用于快速判断画面是否变化 */ + private lastFrameBlockHashes: string[] = []; + + constructor( + options: ScreenCaptureOptions, + onScreenshot: (data: ScreenshotFrameData) => void, + ) { + this.options = { + interval: options.interval || DEFAULT_INTERVAL, + windowId: options.windowId, + }; + this.onScreenshot = onScreenshot; + } + + /** + * 列出所有可捕获的窗口和屏幕源 + */ + static async listWindows(): Promise { + const sources = await desktopCapturer.getSources({ + types: ['window', 'screen'], + thumbnailSize: { width: 1, height: 1 }, // 列表不需要缩略图 + }); + + return sources.map((source) => ({ + id: source.id, + name: source.name, + displayId: source.display_id ?? '', + })); + } + + /** + * 开始定时截图采集 + */ + start(): void { + if (this.timer !== null || this.disposed) return; + + logger.info( + `[ScreenCapture] 开始采集, interval=${this.options.interval}ms, windowId=${this.options.windowId ?? 'auto'}`, + ); + + // 立即执行一次，然后定时执行 + this.captureAndEmit(); + this.timer = setInterval(() => { + this.captureAndEmit(); + }, this.options.interval); + } + + /** + * 停止截图采集 + */ + stop(): void { + if (this.timer !== null) { + clearInterval(this.timer); + this.timer = null; + logger.info('[ScreenCapture] 停止采集'); + } + } + + /** + * 单次截图（不启动定时器） + */ + async captureOnce(): Promise { + const source = await this.resolveSource(); + if (!source) { + console.warn('[ScreenCapture] captureOnce: 未找到可用的截图源'); + return null; + } + + return this.extractFrame(source); + } + + /** + * 销毁实例，释放所有资源 + */ + dispose(): void { + this.stop(); + this.disposed = true; + this.lastFrameBlockHashes = []; + logger.info('[ScreenCapture] 已销毁'); + } + + // ================================================================ + // 内部方法 + // ================================================================ + + /** 执行一次截图并通过回调发送 */ + private async captureAndEmit(): Promise { + try { + const source = await this.resolveSource(); + if (!source) { + logger.warn('[ScreenCapture] 目标窗口不可见（可能已最小化），跳过本帧'); + return; + } + + const frame = this.extractFrame(source); + if (frame) { + this.onScreenshot(frame); + } + } catch (error) { + logger.error('[ScreenCapture] 截图失败:', error); + } + } + + /** 解析目标截图源 */ + private async resolveSource(): Promise { + const sources = await desktopCapturer.getSources({ + types: ['window', 'screen'], + thumbnailSize: THUMBNAIL_SIZE, + }); + + if (sources.length === 0) return null; + + // 如果指定了 windowId，按 ID 匹配 + if (this.options.windowId) { + const matched = sources.find((s) => s.id === this.options.windowId); + if (matched) return matched; + console.warn( + `[ScreenCapture] 未找到 windowId=${this.options.windowId} 的源，回退到首个屏幕源`, + ); + } + + // 回退策略：优先选屏幕源，否则选第一个 + const screenSource = sources.find((s) => s.id.startsWith('screen:')); + return screenSource ?? sources[0]; + } + + /** 从 DesktopCapturerSource 提取帧数据（JPEG 压缩输出，降低 AI 分析传输体积） */ + private extractFrame(source: DesktopCapturerSource): ScreenshotFrameData | null { + const nativeImage = source.thumbnail; + if (!nativeImage || nativeImage.isEmpty()) { + logger.warn(`[ScreenCapture] source "${source.name}" 的缩略图为空`); + return null; + } + + // 缩放到 1280px 宽（多模态模型内部会缩到 672px，无需原尺寸） + const resized = nativeImage.resize({ width: 1280 }); + // JPEG 压缩：质量 75（板书场景可后续在渲染进程按需提高） + const jpegBuffer = resized.toJPEG(75); + const size = resized.getSize(); + + // 复制一份纯 ArrayBuffer + const arrayBuffer = new ArrayBuffer(jpegBuffer.byteLength); + new Uint8Array(arrayBuffer).set(jpegBuffer); + + const hasChanged = this.hasFrameChanged(arrayBuffer); + + return { + imageBuffer: arrayBuffer, + width: size.width, + height: size.height, + timestamp: monotonicTimestamp(), + sourceId: source.id, + hasChanged, + }; + } + + /** + * 基于分块采样 + hash 对比的帧变化检测（含 1px 容差） + * + * 将截图数据分为 8 个区域块，每块采样 ~60 字节（共约 500 字节）， + * 分别计算 hash 后对比。为过滤 1px 鼠标微动导致的误判， + * 要求至少 2 个块同时发生变化才认为帧已变化。 + * 无论是否判定为“变化”，均更新基准 hash，防止亚阈值变化累积。 + */ + private hasFrameChanged(imageBuffer: ArrayBuffer): boolean { + const view = new Uint8Array(imageBuffer); + const size = view.length; + if (size === 0) return false; + + // 分为 8 个块，每块采样 ~60 字节，总采样约 500 字节 + const BLOCK_COUNT = 8; + const SAMPLES_PER_BLOCK = 60; + const blockHashes: string[] = []; + + for (let b = 0; b < BLOCK_COUNT; b++) { + const blockStart = Math.floor((size * b) / BLOCK_COUNT); + const blockEnd = Math.floor((size * (b + 1)) / BLOCK_COUNT); + const blockSize = blockEnd - blockStart; + if (blockSize <= 0) { + blockHashes.push(''); + continue; + } + + const step = Math.max(1, Math.floor(blockSize / SAMPLES_PER_BLOCK)); + let hash = blockSize.toString(36); + for (let i = blockStart; i < blockEnd; i += step) { + hash += view[i].toString(16); + } + blockHashes.push(hash); + } + + // 与上一帧的分块 hash 逐块对比，统计变化块数 + // 要求至少 2 个块变化才认为帧已变化（过滤 1px 鼠标微动误判） + const MIN_CHANGED_BLOCKS = 2; + let changedCount = 0; + if (blockHashes.length === this.lastFrameBlockHashes.length) { + for (let i = 0; i < blockHashes.length; i++) { + if (blockHashes[i] !== this.lastFrameBlockHashes[i]) { + changedCount++; + if (changedCount >= MIN_CHANGED_BLOCKS) break; // 提前退出 + } + } + } else { + // 块数不一致（首帧或尺寸变化），视为已变化 + changedCount = MIN_CHANGED_BLOCKS; + } + + // 无论是否判定为变化，均更新基准 hash，防止亚阈值变化累积 + this.lastFrameBlockHashes = blockHashes; + return changedCount >= MIN_CHANGED_BLOCKS; + } +} diff --git a/client/electron/screenCaptureHandlers.ts b/client/electron/screenCaptureHandlers.ts new file mode 100644 index 00000000..deb1d31e --- /dev/null +++ b/client/electron/screenCaptureHandlers.ts @@ -0,0 +1,214 @@ +/** + * 屏幕截图 & 窗口监听 IPC Handler + * + * @ai-context: 从 captureHandlers.ts 拆出。screen_capture_start 有 + * 500ms 防抖 + captureSessionToken 单调递增校验——stop 后残留的 + * debounce 回调经 token 比对失效，防止"停止后又自动重启采集"的竞态。 + * 窗口监听为 3s 轮询 diff（desktopCapturer 无变化事件可订阅）。 + * @ai-context: 帧数据经 sender 窗口 webContents.send 推回（非广播）， + * 窗口销毁时静默丢帧。 + */ +import { BrowserWindow, desktopCapturer } from 'electron'; +import { ScreenCapture } from './screenCapture.js'; +import type { ScreenCaptureOptions, ScreenshotFrameData } from './screenCapture.js'; +import { safeHandle, getMainWindowId } from './ipcUtils.js'; +import { logger } from './logger.js'; +import { scoreAndFilterWindows } from './windowScorer.js'; + +// ================================================================ +// 模块级状态 +// ================================================================ + +/** 当前活跃的截图采集实例 */ +let activeCapture: ScreenCapture | null = null; + +/** screen_capture_start 防抖：500ms 内多次调用只响应最后一次 */ +let startDebounceTimer: ReturnType | null = null; +const START_DEBOUNCE_MS = 500; + +/** 单调递增会话标识，用于防止 stop 后残留的 debounce 重启采集 */ +let captureSessionToken = 0; + +/** 窗口监听轮询定时器 */ +let windowWatchTimer: ReturnType | null = null; + +/** 上一次窗口列表的 id 集合（用于 diff 检测变化） */ +let lastWindowIds: Set = new Set(); + +const WINDOW_WATCH_INTERVAL_MS = 3000; + +/** + * 注册屏幕截图与窗口监听相关的 IPC handler + */ +export function registerScreenCaptureHandlers(): void { + safeHandle( + 'screen_capture_start', + async (event, options: ScreenCaptureOptions) => { + // 防抖：500ms 内多次调用只响应最后一次 + if (startDebounceTimer) { + clearTimeout(startDebounceTimer); + startDebounceTimer = null; + } + + // 记录本次会话 token，用于 debounce 回调时校验是否仍然有效 + const token = ++captureSessionToken; + + return new Promise<{ success: boolean }>((resolve) => { + startDebounceTimer = setTimeout(() => { + startDebounceTimer = null; + + // 如果在 debounce 期间调用了 stop（token 已变），放弃本次启动 + if (token !== captureSessionToken) { + logger.info('[IPC] screen_capture_start debounce 已过期（stop 后残留），跳过'); + resolve({ success: false }); + return; + } + + // 幂等：先清理旧实例 + if (activeCapture) { + activeCapture.dispose(); + activeCapture = null; + } + + const senderWin = BrowserWindow.fromWebContents(event.sender); + + // 对采集参数做边界校验，防止非法值导致主进程异常 + const safeOptions = options || {}; + if (typeof safeOptions.interval === 'number' && (safeOptions.interval < 100 || safeOptions.interval > 60000)) { + safeOptions.interval = 5000; + } + + activeCapture = new ScreenCapture(safeOptions, (frame: ScreenshotFrameData) => { + if (senderWin && !senderWin.isDestroyed()) { + senderWin.webContents.send('screen_capture_frame', frame); + } + }); + + activeCapture.start(); + logger.info('[IPC] screen_capture_start 已启动（防抖后）'); + resolve({ success: true }); + }, START_DEBOUNCE_MS); + }); + }, + ); + + safeHandle('screen_capture_stop', async () => { + // 递增 token，使残留的 debounce 回调失效 + captureSessionToken++; + + // 清理防抖定时器 + if (startDebounceTimer) { + clearTimeout(startDebounceTimer); + startDebounceTimer = null; + } + + if (activeCapture) { + activeCapture.dispose(); + activeCapture = null; + logger.info('[IPC] screen_capture_stop 已停止'); + } + return { success: true }; + }); + + safeHandle('screen_list_windows', async () => { + try { + const sources = await desktopCapturer.getSources({ + types: ['window'], + thumbnailSize: { width: 240, height: 135 }, + }); + + const rawWindows = sources.map((src) => { + const thumb = src.thumbnail.isEmpty() ? src.thumbnail : src.thumbnail.resize({ width: 120 }); + return { + id: src.id, + title: src.name, + thumbnail: thumb.toDataURL(), + }; + }); + + // 智能评分、过滤与排序 + return scoreAndFilterWindows(rawWindows); + } catch (err) { + logger.error('[IPC] screen_list_windows failed:', err); + return []; + } + }); + + // ---- 窗口变化监听（轮询） ---- + + safeHandle('screen_watch_windows_start', async () => { + if (windowWatchTimer) return { success: true }; // 已在监听 + + logger.info('[IPC] 窗口监听已启动, interval=' + WINDOW_WATCH_INTERVAL_MS + 'ms'); + + windowWatchTimer = setInterval(async () => { + try { + const sources = await desktopCapturer.getSources({ + types: ['window'], + thumbnailSize: { width: 240, height: 135 }, + }); + + const currentIds = new Set(sources.map((s) => s.id)); + + // 检测是否有变化（新增或关闭窗口） + const hasChanged = + currentIds.size !== lastWindowIds.size || + [...currentIds].some((id) => !lastWindowIds.has(id)); + + if (hasChanged) { + lastWindowIds = currentIds; + + const rawWindows = sources.map((src) => { + const thumb = src.thumbnail.isEmpty() ? src.thumbnail : src.thumbnail.resize({ width: 120 }); + return { id: src.id, title: src.name, thumbnail: thumb.toDataURL() }; + }); + + const scored = scoreAndFilterWindows(rawWindows); + + // 推送到渲染进程 + const mainWindowId = getMainWindowId(); + if (mainWindowId) { + const win = BrowserWindow.fromId(mainWindowId); + if (win && !win.isDestroyed()) { + win.webContents.send('screen_windows_changed', scored); + } + } + } + } catch (err) { + logger.error('[IPC] window watch poll error:', err); + } + }, WINDOW_WATCH_INTERVAL_MS); + + return { success: true }; + }); + + safeHandle('screen_watch_windows_stop', async () => { + if (windowWatchTimer) { + clearInterval(windowWatchTimer); + windowWatchTimer = null; + lastWindowIds = new Set(); + logger.info('[IPC] 窗口监听已停止'); + } + return { success: true }; + }); +} + +/** + * 释放屏幕截图相关资源（含防抖定时器与轮询） + */ +export function disposeScreenCaptureHandlers(): void { + // 清理防抖定时器 + if (startDebounceTimer) { + clearTimeout(startDebounceTimer); + startDebounceTimer = null; + } + if (windowWatchTimer) { + clearInterval(windowWatchTimer); + windowWatchTimer = null; + lastWindowIds = new Set(); + } + if (activeCapture) { + activeCapture.dispose(); + activeCapture = null; + } +} diff --git a/client/electron/storageIpcHandlers.ts b/client/electron/storageIpcHandlers.ts new file mode 100644 index 00000000..5116c55a --- /dev/null +++ b/client/electron/storageIpcHandlers.ts @@ -0,0 +1,202 @@ +/** + * 存储路径与备份 IPC handlers（storage:* / backup:* / dialog / fs） + * + * @ai-context: 从 main.ts 拆出。storage:change-path 是七步事务式迁移 + * （验证→备份→checkpoint→迁移→完整性校验→重连→持久化），任一步失败 + * 回滚旧路径；isChangingPath 互斥锁防并发切换。'keban.db' 文件名为 + * 存量用户数据标识，永久豁免品牌改名。 + * @ai-context: fs:read-file 仅允许 userData/temp 目录（路径穿越防护）； + * 备份文件名前缀 entropy-decrease-backup（新品牌）。 + */ +import { app, dialog } from 'electron'; +import * as path from 'path'; +import { writeFile, readFile } from 'fs/promises'; +import { safeHandle } from './ipcUtils.js'; +import { logger } from './logger.js'; +import { getConnection, checkpointAndClose, reinitialize, getDbPath } from './db/sqliteService.js'; +import { initializeSchema } from './db/schema.js'; +import { saveCustomStoragePath, resolveDbPath } from './db/storageConfig.js'; +import { migrateDatabaseFiles, verifyDatabaseIntegrity, createBackup } from './db/dbFileMigrator.js'; + +/** SQLite 主库文件名 — 存量用户数据标识，绝对不可改名 */ +const DB_FILE_NAME = 'keban.db'; + +/** v1.1.0: 存储路径切换互斥锁 */ +let isChangingPath = false; + +/** 回滚到指定目录的数据库（迁移失败/校验失败共用） */ +function rollbackToPath(dir: string, stage: string): void { + try { + reinitialize(path.join(dir, DB_FILE_NAME)); + initializeSchema(getConnection()); + logger.info(`[Storage] Rolled back to previous path (${stage})`); + } catch (rollbackErr) { + logger.error(`[Storage] Rollback after ${stage} also failed!`, rollbackErr); + } +} + +/** + * 注册存储/备份/文件对话框相关 IPC handlers（app ready 后调用一次） + */ +export function registerStorageIpcHandlers(): void { + safeHandle('get-default-storage-path', async () => { + return app.getPath('userData'); + }); + + // 文件读取 IPC handler（仅允许读取应用数据目录或临时目录下的文件） + safeHandle('fs:read-file', async (_event, filePath: string) => { + const appDataPath = app.getPath('userData'); + const tempPath = app.getPath('temp'); + const resolvedPath = path.resolve(filePath); + + if (!resolvedPath.startsWith(appDataPath) && !resolvedPath.startsWith(tempPath)) { + throw new Error('不允许读取该路径的文件'); + } + + const buffer = await readFile(resolvedPath); + return buffer.buffer; // 返回 ArrayBuffer + }); + + safeHandle('dialog:selectDirectory', async (_event, options?: { title?: string; defaultPath?: string }) => { + const result = await dialog.showOpenDialog({ + title: options?.title || '选择数据存储目录', + defaultPath: options?.defaultPath, + properties: ['openDirectory', 'createDirectory'], + }); + + if (result.canceled || result.filePaths.length === 0) { + return { canceled: true, path: null }; + } + + return { canceled: false, path: result.filePaths[0] }; + }); + + // v1.1.0: 获取当前实际使用的存储路径 + safeHandle('storage:get-active-path', async () => { + return getDbPath() ?? await resolveDbPath(); + }); + + // v1.1.0: 存储路径切换（含数据迁移） + safeHandle('storage:change-path', async (_event, args: { newPath: string }) => { + if (isChangingPath) { + return { success: false, error: '正在处理路径切换，请稍后重试' }; + } + + isChangingPath = true; + const previousPath = path.dirname(getDbPath() ?? await resolveDbPath()); + + try { + const { newPath } = args; + + // 1. 验证路径不同 + const normalizedNew = path.resolve(newPath); + const normalizedOld = path.resolve(previousPath); + if (normalizedNew === normalizedOld) { + return { success: false, error: '新路径与当前路径相同' }; + } + + logger.info(`[Storage] Switching storage path: ${normalizedOld} → ${normalizedNew}`); + + // 2. 为旧数据库创建备份 + await createBackup(normalizedOld); + + // 3. WAL checkpoint 并关闭旧连接 + checkpointAndClose(); + + // 4. 迁移数据库文件 + const migrationResult = await migrateDatabaseFiles(normalizedOld, normalizedNew); + if (!migrationResult.success) { + logger.error('[Storage] Migration failed:', migrationResult.error); + rollbackToPath(normalizedOld, 'migration failure'); + return { success: false, error: migrationResult.error }; + } + + // 5. 验证新数据库完整性 + const newDbPath = path.join(normalizedNew, DB_FILE_NAME); + if (!verifyDatabaseIntegrity(newDbPath)) { + logger.error('[Storage] Integrity check failed for new database'); + rollbackToPath(normalizedOld, 'integrity check failure'); + return { success: false, error: '新数据库完整性校验失败，已回滚到原路径' }; + } + + // 6. 重新连接到新路径 + reinitialize(newDbPath); + initializeSchema(getConnection()); + + // 7. 持久化新路径配置 + await saveCustomStoragePath(normalizedNew); + + logger.info(`[Storage] Path switch completed: ${normalizedNew}`); + return { + success: true, + previousPath: normalizedOld, + newPath: normalizedNew, + }; + } catch (err) { + const errorMsg = err instanceof Error ? err.message : String(err); + logger.error('[Storage] Path switch failed', err); + rollbackToPath(previousPath, 'unexpected error'); + return { success: false, error: '路径切换失败: ' + errorMsg }; + } finally { + isChangingPath = false; + } + }); + + // ================================================================ + // v0.9.0: 备份相关 IPC handlers + // ================================================================ + + /** + * 显示保存对话框并将备份数据写入文件 + */ + safeHandle('backup:save', async (_event, data: string, defaultName?: string) => { + const filename = defaultName || `entropy-decrease-backup-${new Date().toISOString().slice(0, 10)}.json`; + + const result = await dialog.showSaveDialog({ + title: '保存备份文件', + defaultPath: filename, + filters: [ + { name: '熵减备份文件', extensions: ['json'] }, + { name: '所有文件', extensions: ['*'] }, + ], + }); + + if (result.canceled || !result.filePath) { + return { success: false, canceled: true, path: null }; + } + + try { + await writeFile(result.filePath, data, 'utf-8'); + return { success: true, canceled: false, path: result.filePath }; + } catch (err) { + const msg = err instanceof Error ? err.message : '写入失败'; + return { success: false, canceled: false, path: null, error: msg }; + } + }); + + /** + * 显示打开对话框，选择备份文件并读取内容 + */ + safeHandle('backup:open', async () => { + const result = await dialog.showOpenDialog({ + title: '选择备份文件', + filters: [ + { name: '熵减备份文件', extensions: ['json'] }, + { name: '所有文件', extensions: ['*'] }, + ], + properties: ['openFile'], + }); + + if (result.canceled || result.filePaths.length === 0) { + return { success: false, canceled: true, content: null }; + } + + try { + const content = await readFile(result.filePaths[0], 'utf-8'); + return { success: true, canceled: false, content, path: result.filePaths[0] }; + } catch (err) { + const msg = err instanceof Error ? err.message : '读取失败'; + return { success: false, canceled: false, content: null, error: msg }; + } + }); +} diff --git a/client/electron/trayManager.ts b/client/electron/trayManager.ts index c33a9080..66169898 100644 --- a/client/electron/trayManager.ts +++ b/client/electron/trayManager.ts @@ -1,99 +1,101 @@ -/** - * 系统托盘管理器 - * - * 从 main.ts 拆分而来，负责创建系统托盘图标及右键菜单。 - */ - -import { Tray, Menu, nativeImage, app } from 'electron'; -import type { BrowserWindow } from 'electron'; -import * as path from 'path'; -import { logger } from './logger.js'; - -// ================================================================ -// 模块级状态 -// ================================================================ - -/** 系统托盘实例 */ -let tray: Tray | null = null; - -/** 应用是否正在退出（由外部 setter 控制） */ -let isQuittingRef: { value: boolean } = { value: false }; - -// ================================================================ -// 公共 API -// ================================================================ - -/** - * 设置 isQuitting 标志的引用，与 main.ts 共享状态 - */ -export function setQuittingRef(ref: { value: boolean }): void { - isQuittingRef = ref; -} - -/** - * 创建系统托盘图标及右键菜单 - * - * @param win - 主窗口实例，用于显示/聚焦操作 - * @param onQuit - 用户点击"退出"时的回调 - * @returns 创建的 Tray 实例 - */ -export function createTray(win: BrowserWindow, onQuit: () => void): Tray { - const iconPath = path.join(app.getAppPath(), 'app-icon.png'); - let trayIcon = nativeImage.createFromPath(iconPath); - - // 如果图标加载失败则创建 16x16 空白图标作为 fallback - if (trayIcon.isEmpty()) { - trayIcon = nativeImage.createEmpty(); - } else { - trayIcon = trayIcon.resize({ width: 16, height: 16 }); - } - - tray = new Tray(trayIcon); - tray.setToolTip('熵减'); - - const contextMenu = Menu.buildFromTemplate([ - { - label: '显示窗口', - click: () => { - win.show(); - win.focus(); - }, - }, - { type: 'separator' }, - { - label: '退出', - click: () => { - onQuit(); - }, - }, - ]); - - tray.setContextMenu(contextMenu); - - // 双击托盘图标恢复窗口 - tray.on('double-click', () => { - if (win.isMinimized()) win.restore(); - if (!win.isVisible()) win.show(); - win.focus(); - }); - - logger.info('[Tray] System tray created'); - return tray; -} - -/** - * 销毁系统托盘实例 - */ -export function destroyTray(): void { - if (tray) { - tray.destroy(); - tray = null; - } -} - -/** - * 获取当前托盘实例 - */ -export function getTray(): Tray | null { - return tray; -} +/** + * 系统托盘管理器 + * + * 从 main.ts 拆分而来，负责创建系统托盘图标及右键菜单。 + * + * @ai-context: 系统托盘：最小化到托盘/恢复/退出菜单。 + */ + +import { Tray, Menu, nativeImage, app } from 'electron'; +import type { BrowserWindow } from 'electron'; +import * as path from 'path'; +import { logger } from './logger.js'; + +// ================================================================ +// 模块级状态 +// ================================================================ + +/** 系统托盘实例 */ +let tray: Tray | null = null; + +/** 应用是否正在退出（由外部 setter 控制） */ +let isQuittingRef: { value: boolean } = { value: false }; + +// ================================================================ +// 公共 API +// ================================================================ + +/** + * 设置 isQuitting 标志的引用，与 main.ts 共享状态 + */ +export function setQuittingRef(ref: { value: boolean }): void { + isQuittingRef = ref; +} + +/** + * 创建系统托盘图标及右键菜单 + * + * @param win - 主窗口实例，用于显示/聚焦操作 + * @param onQuit - 用户点击"退出"时的回调 + * @returns 创建的 Tray 实例 + */ +export function createTray(win: BrowserWindow, onQuit: () => void): Tray { + const iconPath = path.join(app.getAppPath(), 'app-icon.png'); + let trayIcon = nativeImage.createFromPath(iconPath); + + // 如果图标加载失败则创建 16x16 空白图标作为 fallback + if (trayIcon.isEmpty()) { + trayIcon = nativeImage.createEmpty(); + } else { + trayIcon = trayIcon.resize({ width: 16, height: 16 }); + } + + tray = new Tray(trayIcon); + tray.setToolTip('熵减'); + + const contextMenu = Menu.buildFromTemplate([ + { + label: '显示窗口', + click: () => { + win.show(); + win.focus(); + }, + }, + { type: 'separator' }, + { + label: '退出', + click: () => { + onQuit(); + }, + }, + ]); + + tray.setContextMenu(contextMenu); + + // 双击托盘图标恢复窗口 + tray.on('double-click', () => { + if (win.isMinimized()) win.restore(); + if (!win.isVisible()) win.show(); + win.focus(); + }); + + logger.info('[Tray] System tray created'); + return tray; +} + +/** + * 销毁系统托盘实例 + */ +export function destroyTray(): void { + if (tray) { + tray.destroy(); + tray = null; + } +} + +/** + * 获取当前托盘实例 + */ +export function getTray(): Tray | null { + return tray; +} diff --git a/client/electron/tsconfig.json b/client/electron/tsconfig.json index d0083732..cc86beb8 100644 --- a/client/electron/tsconfig.json +++ b/client/electron/tsconfig.json @@ -1,24 +1,24 @@ -{ - "compilerOptions": { - "ignoreDeprecations": "6.0", - "target": "ES2022", - "module": "CommonJS", - "moduleResolution": "node", - "strict": true, - "esModuleInterop": true, - "outDir": "../dist-electron", - "rootDir": "..", - "baseUrl": "..", - "paths": { - "@/*": ["src/*"] - }, - "typeRoots": ["../node_modules/@types"], - "skipLibCheck": true, - "resolveJsonModule": true - }, - "include": [ - "./**/*.ts", - "../src/lib/storage/interfaces.ts", - "../src/types/models.ts" - ] -} +{ + "compilerOptions": { + "ignoreDeprecations": "6.0", + "target": "ES2022", + "module": "CommonJS", + "moduleResolution": "node", + "strict": true, + "esModuleInterop": true, + "outDir": "../dist-electron", + "rootDir": "..", + "baseUrl": "..", + "paths": { + "@/*": ["src/*"] + }, + "typeRoots": ["../node_modules/@types"], + "skipLibCheck": true, + "resolveJsonModule": true + }, + "include": [ + "./**/*.ts", + "../src/lib/storage/interfaces.ts", + "../src/types/models.ts" + ] +} diff --git a/client/electron/updater.ts b/client/electron/updater.ts index d2af4b29..3364f958 100644 --- a/client/electron/updater.ts +++ b/client/electron/updater.ts @@ -1,259 +1,261 @@ -/** - * 自动更新模块 - * - * 封装 electron-updater 的 autoUpdater， - * 处理更新检查、下载、安装等事件， - * 通过 IPC 将状态推送到渲染进程。 - */ -import * as electronUpdater from 'electron-updater'; -const { autoUpdater } = electronUpdater; -import type { UpdateInfo, ProgressInfo } from 'electron-updater'; -import { BrowserWindow, app, net } from 'electron'; -import { readFile, writeFile } from 'fs/promises'; -import * as path from 'path'; -import { logger } from './logger.js'; - -/** 自动检查开关（由渲染进程通过 IPC 设置，默认开启） */ -let autoCheckEnabled = true; - -/** 自动检查最小间隔（24 小时，毫秒） */ -const AUTO_CHECK_INTERVAL_MS = 24 * 60 * 60 * 1000; - -/** 上次检查更新的时间戳（持久化到 userData/update-check.json） */ -let lastCheckTimestamp = 0; - -/** - * 读取持久化的上次检查时间戳 - */ -async function loadLastCheckTimestamp(): Promise { - try { - const filePath = path.join(app.getPath('userData'), 'update-check.json'); - const data = JSON.parse(await readFile(filePath, 'utf-8')); - return typeof data.lastCheck === 'number' ? data.lastCheck : 0; - } catch { - return 0; - } -} - -/** - * 将当前时间戳持久化到文件 - */ -async function saveLastCheckTimestamp(): Promise { - try { - const filePath = path.join(app.getPath('userData'), 'update-check.json'); - await writeFile(filePath, JSON.stringify({ lastCheck: Date.now() }), 'utf-8'); - lastCheckTimestamp = Date.now(); - } catch (err) { - logger.warn(`[AutoUpdater] Failed to save last check timestamp: ${err instanceof Error ? err.message : String(err)}`); - } -} - -/** - * 判断距上次检查是否已满 24 小时 - */ -function shouldAutoCheck(): boolean { - return Date.now() - lastCheckTimestamp >= AUTO_CHECK_INTERVAL_MS; -} - -/** 检查更新超时时间（毫秒） */ -const CHECK_UPDATE_TIMEOUT = 10_000; - -/** 下载重试状态 */ -let downloadRetryCount = 0; -const MAX_DOWNLOAD_RETRIES = 3; -const DOWNLOAD_RETRY_DELAYS = [30_000, 60_000, 120_000]; // 30s, 60s, 120s -/** 标记当前是否正在下载（用于区分 error 事件来源） */ -let isDownloading = false; - -/** - * 设置自动检查开关 - * 由 main.ts 的 IPC handler 调用 - */ -export function setAutoCheckEnabled(enabled: boolean): void { - autoCheckEnabled = enabled; - logger.info(`[AutoUpdater] Auto check ${enabled ? 'enabled' : 'disabled'}`); -} - -/** - * 带超时保护的 checkForUpdates 封装 - * 超过 CHECK_UPDATE_TIMEOUT 未响应则视为失败 - */ -function checkForUpdatesWithTimeout(): Promise { - return new Promise((resolve, reject) => { - const timer = setTimeout(() => { - reject(new Error('未成功取得资源，请检查网络连接后重试')); - }, CHECK_UPDATE_TIMEOUT); - - autoUpdater.checkForUpdates() - .then((result) => { - clearTimeout(timer); - resolve(result); - }) - .catch((err: unknown) => { - clearTimeout(timer); - reject(err); - }); - }); -} - -export function initAutoUpdater(mainWindow: BrowserWindow | null): void { - // 开发模式下禁用自动更新 - if (!app.isPackaged) { - logger.info('[AutoUpdater] Skipped in development mode'); - return; - } - - autoUpdater.autoDownload = false; - autoUpdater.autoInstallOnAppQuit = true; - - autoUpdater.on('checking-for-update', () => { - logger.info('[AutoUpdater] Checking for update...'); - sendToRenderer(mainWindow, 'update-status', { status: 'checking' }); - }); - - autoUpdater.on('update-available', (info: UpdateInfo) => { - logger.info(`[AutoUpdater] Update available: v${info.version}`); - sendToRenderer(mainWindow, 'update-status', { - status: 'available', - version: info.version, - releaseNotes: info.releaseNotes ?? null, - }); - }); - - autoUpdater.on('update-not-available', () => { - logger.info('[AutoUpdater] No update available'); - sendToRenderer(mainWindow, 'update-status', { status: 'not-available' }); - }); - - autoUpdater.on('download-progress', (progress: ProgressInfo) => { - sendToRenderer(mainWindow, 'update-status', { - status: 'downloading', - percent: Math.round(progress.percent), - bytesPerSecond: progress.bytesPerSecond, - }); - }); - - autoUpdater.on('update-downloaded', (info: UpdateInfo) => { - logger.info(`[AutoUpdater] Update downloaded: v${info.version}`); - // 下载成功，重置重试计数 - downloadRetryCount = 0; - isDownloading = false; - sendToRenderer(mainWindow, 'update-status', { - status: 'downloaded', - version: info.version, - }); - }); - - autoUpdater.on('error', (error: Error) => { - logger.error('[AutoUpdater] Error', error); - - // 下载失败时执行带退避的重试 - if (isDownloading && downloadRetryCount < MAX_DOWNLOAD_RETRIES) { - const delay = DOWNLOAD_RETRY_DELAYS[downloadRetryCount] ?? DOWNLOAD_RETRY_DELAYS[DOWNLOAD_RETRY_DELAYS.length - 1]; - downloadRetryCount++; - logger.warn( - `[AutoUpdater] Download failed, retrying in ${delay / 1000}s (attempt ${downloadRetryCount}/${MAX_DOWNLOAD_RETRIES})`, - ); - sendToRenderer(mainWindow, 'update-status', { - status: 'downloading', - percent: 0, - retryIn: delay, - retryCount: downloadRetryCount, - maxRetries: MAX_DOWNLOAD_RETRIES, - }); - setTimeout(() => { - autoUpdater.downloadUpdate().catch((err) => { - logger.error('[AutoUpdater] Retry download failed', err); - }); - }, delay); - return; - } - - // 重试耗尽或非下载阶段的错误 - downloadRetryCount = 0; - isDownloading = false; - - // 断网时静默忽略，不弹窗打扰用户 - if (!net.isOnline()) { - logger.info('[AutoUpdater] Offline, skipping error notification'); - return; - } - - sendToRenderer(mainWindow, 'update-status', { - status: 'error', - message: error.message, - }); - }); - - // 启动时检查更新（延迟 10 秒，等窗口加载完） - // 加载持久化的上次检查时间戳，判断是否已满 24 小时 - loadLastCheckTimestamp().then((ts) => { - lastCheckTimestamp = ts; - }).finally(() => { - setTimeout(() => { - if (!autoCheckEnabled) return; - // 断网时跳过检查，静默等待下次启动 - if (!net.isOnline()) { - logger.info('[AutoUpdater] Offline, skipping auto check'); - return; - } - // 距上次检查不足 24 小时，跳过本次自动检查 - if (!shouldAutoCheck()) { - const hoursLeft = Math.ceil((AUTO_CHECK_INTERVAL_MS - (Date.now() - lastCheckTimestamp)) / (60 * 60 * 1000)); - logger.info(`[AutoUpdater] Auto check skipped, next check in ~${hoursLeft} hour(s)`); - return; - } - logger.info('[AutoUpdater] 24-hour interval elapsed, performing auto check'); - checkForUpdatesWithTimeout() - .then(() => { saveLastCheckTimestamp(); }) - .catch((err: unknown) => { - logger.error('[AutoUpdater] Initial check failed', err); - // 断网导致的失败不通知前端 - if (!net.isOnline()) return; - sendToRenderer(mainWindow, 'update-status', { - status: 'error', - message: err instanceof Error ? err.message : String(err), - }); - }); - }, 10_000); - }); -} - -/** - * 手动检查更新（不受 7 天频率限制，始终执行） - */ -export function checkForUpdate(): void { - checkForUpdatesWithTimeout() - .then(() => { saveLastCheckTimestamp(); }) - .catch((err: unknown) => { - logger.error('[AutoUpdater] Manual check failed', err); - // 手动检查时也将超时错误通知到渲染进程 - sendToRenderer( - BrowserWindow.getAllWindows().find((w) => !w.isDestroyed()) ?? null, - 'update-status', - { status: 'error', message: err instanceof Error ? err.message : String(err) }, - ); - }); -} - -export function downloadUpdate(): void { - isDownloading = true; - downloadRetryCount = 0; - autoUpdater.downloadUpdate().catch((err) => { - logger.error('[AutoUpdater] Download failed', err); - }); -} - -export function installUpdate(): void { - autoUpdater.quitAndInstall(); -} - -export function destroyAutoUpdater(): void { - // 清理由（当前无定时任务，保留以便未来扩展） -} - -function sendToRenderer(win: BrowserWindow | null, channel: string, data: unknown): void { - if (win && !win.isDestroyed()) { - win.webContents.send(channel, data); - } -} +/** + * 自动更新模块 + * + * 封装 electron-updater 的 autoUpdater， + * 处理更新检查、下载、安装等事件， + * 通过 IPC 将状态推送到渲染进程。 + * + * @ai-context: electron-updater 自动更新：24h 节流检查（产品规范），下载/安装经 IPC 由用户确认。 + */ +import * as electronUpdater from 'electron-updater'; +const { autoUpdater } = electronUpdater; +import type { UpdateInfo, ProgressInfo } from 'electron-updater'; +import { BrowserWindow, app, net } from 'electron'; +import { readFile, writeFile } from 'fs/promises'; +import * as path from 'path'; +import { logger } from './logger.js'; + +/** 自动检查开关（由渲染进程通过 IPC 设置，默认开启） */ +let autoCheckEnabled = true; + +/** 自动检查最小间隔（24 小时，毫秒） */ +const AUTO_CHECK_INTERVAL_MS = 24 * 60 * 60 * 1000; + +/** 上次检查更新的时间戳（持久化到 userData/update-check.json） */ +let lastCheckTimestamp = 0; + +/** + * 读取持久化的上次检查时间戳 + */ +async function loadLastCheckTimestamp(): Promise { + try { + const filePath = path.join(app.getPath('userData'), 'update-check.json'); + const data = JSON.parse(await readFile(filePath, 'utf-8')); + return typeof data.lastCheck === 'number' ? data.lastCheck : 0; + } catch { + return 0; + } +} + +/** + * 将当前时间戳持久化到文件 + */ +async function saveLastCheckTimestamp(): Promise { + try { + const filePath = path.join(app.getPath('userData'), 'update-check.json'); + await writeFile(filePath, JSON.stringify({ lastCheck: Date.now() }), 'utf-8'); + lastCheckTimestamp = Date.now(); + } catch (err) { + logger.warn(`[AutoUpdater] Failed to save last check timestamp: ${err instanceof Error ? err.message : String(err)}`); + } +} + +/** + * 判断距上次检查是否已满 24 小时 + */ +function shouldAutoCheck(): boolean { + return Date.now() - lastCheckTimestamp >= AUTO_CHECK_INTERVAL_MS; +} + +/** 检查更新超时时间（毫秒） */ +const CHECK_UPDATE_TIMEOUT = 10_000; + +/** 下载重试状态 */ +let downloadRetryCount = 0; +const MAX_DOWNLOAD_RETRIES = 3; +const DOWNLOAD_RETRY_DELAYS = [30_000, 60_000, 120_000]; // 30s, 60s, 120s +/** 标记当前是否正在下载（用于区分 error 事件来源） */ +let isDownloading = false; + +/** + * 设置自动检查开关 + * 由 main.ts 的 IPC handler 调用 + */ +export function setAutoCheckEnabled(enabled: boolean): void { + autoCheckEnabled = enabled; + logger.info(`[AutoUpdater] Auto check ${enabled ? 'enabled' : 'disabled'}`); +} + +/** + * 带超时保护的 checkForUpdates 封装 + * 超过 CHECK_UPDATE_TIMEOUT 未响应则视为失败 + */ +function checkForUpdatesWithTimeout(): Promise { + return new Promise((resolve, reject) => { + const timer = setTimeout(() => { + reject(new Error('未成功取得资源，请检查网络连接后重试')); + }, CHECK_UPDATE_TIMEOUT); + + autoUpdater.checkForUpdates() + .then((result) => { + clearTimeout(timer); + resolve(result); + }) + .catch((err: unknown) => { + clearTimeout(timer); + reject(err); + }); + }); +} + +export function initAutoUpdater(mainWindow: BrowserWindow | null): void { + // 开发模式下禁用自动更新 + if (!app.isPackaged) { + logger.info('[AutoUpdater] Skipped in development mode'); + return; + } + + autoUpdater.autoDownload = false; + autoUpdater.autoInstallOnAppQuit = true; + + autoUpdater.on('checking-for-update', () => { + logger.info('[AutoUpdater] Checking for update...'); + sendToRenderer(mainWindow, 'update-status', { status: 'checking' }); + }); + + autoUpdater.on('update-available', (info: UpdateInfo) => { + logger.info(`[AutoUpdater] Update available: v${info.version}`); + sendToRenderer(mainWindow, 'update-status', { + status: 'available', + version: info.version, + releaseNotes: info.releaseNotes ?? null, + }); + }); + + autoUpdater.on('update-not-available', () => { + logger.info('[AutoUpdater] No update available'); + sendToRenderer(mainWindow, 'update-status', { status: 'not-available' }); + }); + + autoUpdater.on('download-progress', (progress: ProgressInfo) => { + sendToRenderer(mainWindow, 'update-status', { + status: 'downloading', + percent: Math.round(progress.percent), + bytesPerSecond: progress.bytesPerSecond, + }); + }); + + autoUpdater.on('update-downloaded', (info: UpdateInfo) => { + logger.info(`[AutoUpdater] Update downloaded: v${info.version}`); + // 下载成功，重置重试计数 + downloadRetryCount = 0; + isDownloading = false; + sendToRenderer(mainWindow, 'update-status', { + status: 'downloaded', + version: info.version, + }); + }); + + autoUpdater.on('error', (error: Error) => { + logger.error('[AutoUpdater] Error', error); + + // 下载失败时执行带退避的重试 + if (isDownloading && downloadRetryCount < MAX_DOWNLOAD_RETRIES) { + const delay = DOWNLOAD_RETRY_DELAYS[downloadRetryCount] ?? DOWNLOAD_RETRY_DELAYS[DOWNLOAD_RETRY_DELAYS.length - 1]; + downloadRetryCount++; + logger.warn( + `[AutoUpdater] Download failed, retrying in ${delay / 1000}s (attempt ${downloadRetryCount}/${MAX_DOWNLOAD_RETRIES})`, + ); + sendToRenderer(mainWindow, 'update-status', { + status: 'downloading', + percent: 0, + retryIn: delay, + retryCount: downloadRetryCount, + maxRetries: MAX_DOWNLOAD_RETRIES, + }); + setTimeout(() => { + autoUpdater.downloadUpdate().catch((err) => { + logger.error('[AutoUpdater] Retry download failed', err); + }); + }, delay); + return; + } + + // 重试耗尽或非下载阶段的错误 + downloadRetryCount = 0; + isDownloading = false; + + // 断网时静默忽略，不弹窗打扰用户 + if (!net.isOnline()) { + logger.info('[AutoUpdater] Offline, skipping error notification'); + return; + } + + sendToRenderer(mainWindow, 'update-status', { + status: 'error', + message: error.message, + }); + }); + + // 启动时检查更新（延迟 10 秒，等窗口加载完） + // 加载持久化的上次检查时间戳，判断是否已满 24 小时 + loadLastCheckTimestamp().then((ts) => { + lastCheckTimestamp = ts; + }).finally(() => { + setTimeout(() => { + if (!autoCheckEnabled) return; + // 断网时跳过检查，静默等待下次启动 + if (!net.isOnline()) { + logger.info('[AutoUpdater] Offline, skipping auto check'); + return; + } + // 距上次检查不足 24 小时，跳过本次自动检查 + if (!shouldAutoCheck()) { + const hoursLeft = Math.ceil((AUTO_CHECK_INTERVAL_MS - (Date.now() - lastCheckTimestamp)) / (60 * 60 * 1000)); + logger.info(`[AutoUpdater] Auto check skipped, next check in ~${hoursLeft} hour(s)`); + return; + } + logger.info('[AutoUpdater] 24-hour interval elapsed, performing auto check'); + checkForUpdatesWithTimeout() + .then(() => { saveLastCheckTimestamp(); }) + .catch((err: unknown) => { + logger.error('[AutoUpdater] Initial check failed', err); + // 断网导致的失败不通知前端 + if (!net.isOnline()) return; + sendToRenderer(mainWindow, 'update-status', { + status: 'error', + message: err instanceof Error ? err.message : String(err), + }); + }); + }, 10_000); + }); +} + +/** + * 手动检查更新（不受 7 天频率限制，始终执行） + */ +export function checkForUpdate(): void { + checkForUpdatesWithTimeout() + .then(() => { saveLastCheckTimestamp(); }) + .catch((err: unknown) => { + logger.error('[AutoUpdater] Manual check failed', err); + // 手动检查时也将超时错误通知到渲染进程 + sendToRenderer( + BrowserWindow.getAllWindows().find((w) => !w.isDestroyed()) ?? null, + 'update-status', + { status: 'error', message: err instanceof Error ? err.message : String(err) }, + ); + }); +} + +export function downloadUpdate(): void { + isDownloading = true; + downloadRetryCount = 0; + autoUpdater.downloadUpdate().catch((err) => { + logger.error('[AutoUpdater] Download failed', err); + }); +} + +export function installUpdate(): void { + autoUpdater.quitAndInstall(); +} + +export function destroyAutoUpdater(): void { + // 清理由（当前无定时任务，保留以便未来扩展） +} + +function sendToRenderer(win: BrowserWindow | null, channel: string, data: unknown): void { + if (win && !win.isDestroyed()) { + win.webContents.send(channel, data); + } +} diff --git a/client/electron/videoRecorder.ts b/client/electron/videoRecorder.ts index 946b6663..1fa8b05f 100644 --- a/client/electron/videoRecorder.ts +++ b/client/electron/videoRecorder.ts @@ -1,269 +1,269 @@ -/** - * Electron 主进程视频录制管理器 - * - * @ai-context Path C 全程录制模式的核心引擎 - * 架构复用 AudioCapture 的"主进程调度 + 渲染进程执行 + IPC 回传"模式： - * 1. 主进程管理录制生命周期、写入 WebM 文件到磁盘 - * 2. 渲染进程通过 MediaRecorder 采集桌面视频流 - * 3. 视频数据块通过 IPC video_record_chunk 回传主进程并追加写入文件 - */ - -import { app, BrowserWindow } from 'electron'; -import * as fs from 'node:fs'; -import * as path from 'node:path'; -import { logger } from './logger.js'; - -// ================================================================ -// 类型定义 -// ================================================================ - -/** 视频录制选项 */ -export interface VideoRecordOptions { - videoBitsPerSecond?: number; - frameRate?: number; -} - -/** 录制状态（主进程 → 渲染进程） */ -export interface RecordingStatus { - isRecording: boolean; - isPaused: boolean; - duration: number; - fileSizeBytes: number; - filePath: string | null; -} - -// ================================================================ -// 默认配置 -// ================================================================ - -/** @ai-context 500kbps 低码率 + 5s 分片，平衡文件体积与录制流畅度 */ -const DEFAULT_OPTIONS: Required = { - videoBitsPerSecond: 500_000, - frameRate: 15, -}; - -const RECORDINGS_DIR_NAME = 'keban-recordings'; - -// ================================================================ -// 视频录制管理器 -// ================================================================ - -export class VideoRecorder { - private readonly options: Required; - private recording = false; - private paused = false; - private disposed = false; - private boundWin: BrowserWindow | null = null; - - /** 当前录制输出文件路径 */ - private filePath: string | null = null; - /** 文件写入流（追加模式） */ - private writeStream: fs.WriteStream | null = null; - /** 录制开始时间戳 */ - private startTime = 0; - /** 暂停期间累计的暂停时长 */ - private pausedDurationMs = 0; - /** 暂停开始时间 */ - private pauseStartedAt = 0; - /** 已写入字节数 */ - private fileSizeBytes = 0; - /** 状态推送定时器 */ - private statusTimer: ReturnType | null = null; - - constructor(options?: VideoRecordOptions) { - this.options = { ...DEFAULT_OPTIONS, ...options }; - } - - /** 是否正在录制 */ - get isRecording(): boolean { - return this.recording; - } - - /** 当前录制状态快照 */ - get status(): RecordingStatus { - return { - isRecording: this.recording, - isPaused: this.paused, - duration: this.getDurationMs(), - fileSizeBytes: this.fileSizeBytes, - filePath: this.filePath, - }; - } - - /** - * 开始视频录制 - * 通知渲染进程启动 MediaRecorder，主进程准备文件写入流 - */ - startRecording(sourceId: string, options?: VideoRecordOptions): void { - if (this.recording || this.disposed) return; - - const mergedOpts = { ...this.options, ...options }; - - // 准备录制目录和文件 - const dir = path.join(app.getPath('temp'), RECORDINGS_DIR_NAME); - if (!fs.existsSync(dir)) { - fs.mkdirSync(dir, { recursive: true }); - } - const timestamp = new Date().toISOString().replace(/[:.]/g, '-'); - this.filePath = path.join(dir, `recording-${timestamp}.webm`); - this.writeStream = fs.createWriteStream(this.filePath, { flags: 'a' }); - this.fileSizeBytes = 0; - this.startTime = Date.now(); - this.pausedDurationMs = 0; - this.recording = true; - this.paused = false; - - logger.info( - `[VideoRecorder] 开始录制, sourceId=${sourceId}, ` + - `bitsPerSecond=${mergedOpts.videoBitsPerSecond}, frameRate=${mergedOpts.frameRate}, ` + - `output=${this.filePath}`, - ); - - // 启动状态推送定时器（每秒一次） - this.statusTimer = setInterval(() => this.pushStatus(), 1000); - - // 通知渲染进程开始录制 - if (this.boundWin && !this.boundWin.isDestroyed()) { - this.boundWin.webContents.send('video_record_do_start', { - sourceId, - options: mergedOpts, - }); - } - } - - /** - * 停止录制，返回视频文件路径 - */ - async stopRecording(): Promise { - if (!this.recording) { - throw new Error('[VideoRecorder] 当前未在录制'); - } - - this.recording = false; - this.paused = false; - this.stopStatusTimer(); - - // 通知渲染进程停止 MediaRecorder - if (this.boundWin && !this.boundWin.isDestroyed()) { - this.boundWin.webContents.send('video_record_do_stop'); - } - - // 等待最后一批 chunk 写入完成（给渲染进程 500ms 缓冲） - await new Promise((resolve) => setTimeout(resolve, 500)); - - // 关闭文件流 - const finalPath = this.filePath; - await new Promise((resolve) => { - if (this.writeStream) { - this.writeStream.end(() => resolve()); - } else { - resolve(); - } - }); - this.writeStream = null; - - logger.info( - `[VideoRecorder] 停止录制, duration=${this.getDurationMs()}ms, ` + - `size=${this.fileSizeBytes} bytes, file=${finalPath}`, - ); - - return finalPath ?? ''; - } - - /** 暂停录制 */ - pauseRecording(): void { - if (!this.recording || this.paused) return; - this.paused = true; - this.pauseStartedAt = Date.now(); - logger.info('[VideoRecorder] 暂停录制'); - } - - /** 恢复录制 */ - resumeRecording(): void { - if (!this.recording || !this.paused) return; - this.pausedDurationMs += Date.now() - this.pauseStartedAt; - this.paused = false; - logger.info('[VideoRecorder] 恢复录制'); - } - - /** - * 接收渲染进程回传的视频数据块，追加写入文件 - * 由 IPC handler 调用 - */ - handleRendererChunk(chunkBuffer: ArrayBuffer): void { - if (!this.recording || this.paused || !this.writeStream) return; - const buf = Buffer.from(chunkBuffer); - this.writeStream.write(buf); - this.fileSizeBytes += buf.byteLength; - } - - /** - * 处理渲染进程上报的录制错误 - * 停止录制并向渲染进程广播错误通知 - */ - handleRendererError(errorInfo: { message: string }): void { - logger.error('[VideoRecorder] 渲染进程录制错误:', errorInfo.message); - // 标记录制停止，避免后续操作 - this.recording = false; - this.paused = false; - this.stopStatusTimer(); - // 关闭文件流 - if (this.writeStream) { - this.writeStream.end(); - this.writeStream = null; - } - // 向渲染进程广播错误事件 - if (this.boundWin && !this.boundWin.isDestroyed()) { - this.boundWin.webContents.send('video_record_error', { - message: errorInfo.message, - filePath: this.filePath, - }); - } - } - - /** 绑定主窗口（用于 IPC 通信） */ - bindWindow(win: BrowserWindow): void { - this.boundWin = win; - } - - /** 销毁实例，释放资源 */ - dispose(): void { - if (this.recording) { - this.stopRecording().catch((err) => { - logger.error('[VideoRecorder] dispose 时停止录制失败:', err); - }); - } - this.stopStatusTimer(); - this.disposed = true; - this.boundWin = null; - logger.info('[VideoRecorder] 已销毁'); - } - - // ================================================================ - // 私有方法 - // ================================================================ - - /** 计算有效录制时长（扣除暂停时间） */ - private getDurationMs(): number { - if (!this.startTime) return 0; - const elapsed = Date.now() - this.startTime; - const pauseOffset = this.paused - ? this.pausedDurationMs + (Date.now() - this.pauseStartedAt) - : this.pausedDurationMs; - return Math.max(0, elapsed - pauseOffset); - } - - /** 向渲染进程推送录制状态 */ - private pushStatus(): void { - if (!this.boundWin || this.boundWin.isDestroyed()) return; - this.boundWin.webContents.send('video_record_status', this.status); - } - - /** 停止状态推送定时器 */ - private stopStatusTimer(): void { - if (this.statusTimer !== null) { - clearInterval(this.statusTimer); - this.statusTimer = null; - } - } -} +/** + * Electron 主进程视频录制管理器 + * + * @ai-context Path C 全程录制模式的核心引擎 + * 架构复用 AudioCapture 的"主进程调度 + 渲染进程执行 + IPC 回传"模式： + * 1. 主进程管理录制生命周期、写入 WebM 文件到磁盘 + * 2. 渲染进程通过 MediaRecorder 采集桌面视频流 + * 3. 视频数据块通过 IPC video_record_chunk 回传主进程并追加写入文件 + */ + +import { app, BrowserWindow } from 'electron'; +import * as fs from 'node:fs'; +import * as path from 'node:path'; +import { logger } from './logger.js'; + +// ================================================================ +// 类型定义 +// ================================================================ + +/** 视频录制选项 */ +export interface VideoRecordOptions { + videoBitsPerSecond?: number; + frameRate?: number; +} + +/** 录制状态（主进程 → 渲染进程） */ +export interface RecordingStatus { + isRecording: boolean; + isPaused: boolean; + duration: number; + fileSizeBytes: number; + filePath: string | null; +} + +// ================================================================ +// 默认配置 +// ================================================================ + +/** @ai-context 500kbps 低码率 + 5s 分片，平衡文件体积与录制流畅度 */ +const DEFAULT_OPTIONS: Required = { + videoBitsPerSecond: 500_000, + frameRate: 15, +}; + +const RECORDINGS_DIR_NAME = 'keban-recordings'; + +// ================================================================ +// 视频录制管理器 +// ================================================================ + +export class VideoRecorder { + private readonly options: Required; + private recording = false; + private paused = false; + private disposed = false; + private boundWin: BrowserWindow | null = null; + + /** 当前录制输出文件路径 */ + private filePath: string | null = null; + /** 文件写入流（追加模式） */ + private writeStream: fs.WriteStream | null = null; + /** 录制开始时间戳 */ + private startTime = 0; + /** 暂停期间累计的暂停时长 */ + private pausedDurationMs = 0; + /** 暂停开始时间 */ + private pauseStartedAt = 0; + /** 已写入字节数 */ + private fileSizeBytes = 0; + /** 状态推送定时器 */ + private statusTimer: ReturnType | null = null; + + constructor(options?: VideoRecordOptions) { + this.options = { ...DEFAULT_OPTIONS, ...options }; + } + + /** 是否正在录制 */ + get isRecording(): boolean { + return this.recording; + } + + /** 当前录制状态快照 */ + get status(): RecordingStatus { + return { + isRecording: this.recording, + isPaused: this.paused, + duration: this.getDurationMs(), + fileSizeBytes: this.fileSizeBytes, + filePath: this.filePath, + }; + } + + /** + * 开始视频录制 + * 通知渲染进程启动 MediaRecorder，主进程准备文件写入流 + */ + startRecording(sourceId: string, options?: VideoRecordOptions): void { + if (this.recording || this.disposed) return; + + const mergedOpts = { ...this.options, ...options }; + + // 准备录制目录和文件 + const dir = path.join(app.getPath('temp'), RECORDINGS_DIR_NAME); + if (!fs.existsSync(dir)) { + fs.mkdirSync(dir, { recursive: true }); + } + const timestamp = new Date().toISOString().replace(/[:.]/g, '-'); + this.filePath = path.join(dir, `recording-${timestamp}.webm`); + this.writeStream = fs.createWriteStream(this.filePath, { flags: 'a' }); + this.fileSizeBytes = 0; + this.startTime = Date.now(); + this.pausedDurationMs = 0; + this.recording = true; + this.paused = false; + + logger.info( + `[VideoRecorder] 开始录制, sourceId=${sourceId}, ` + + `bitsPerSecond=${mergedOpts.videoBitsPerSecond}, frameRate=${mergedOpts.frameRate}, ` + + `output=${this.filePath}`, + ); + + // 启动状态推送定时器（每秒一次） + this.statusTimer = setInterval(() => this.pushStatus(), 1000); + + // 通知渲染进程开始录制 + if (this.boundWin && !this.boundWin.isDestroyed()) { + this.boundWin.webContents.send('video_record_do_start', { + sourceId, + options: mergedOpts, + }); + } + } + + /** + * 停止录制，返回视频文件路径 + */ + async stopRecording(): Promise { + if (!this.recording) { + throw new Error('[VideoRecorder] 当前未在录制'); + } + + this.recording = false; + this.paused = false; + this.stopStatusTimer(); + + // 通知渲染进程停止 MediaRecorder + if (this.boundWin && !this.boundWin.isDestroyed()) { + this.boundWin.webContents.send('video_record_do_stop'); + } + + // 等待最后一批 chunk 写入完成（给渲染进程 500ms 缓冲） + await new Promise((resolve) => setTimeout(resolve, 500)); + + // 关闭文件流 + const finalPath = this.filePath; + await new Promise((resolve) => { + if (this.writeStream) { + this.writeStream.end(() => resolve()); + } else { + resolve(); + } + }); + this.writeStream = null; + + logger.info( + `[VideoRecorder] 停止录制, duration=${this.getDurationMs()}ms, ` + + `size=${this.fileSizeBytes} bytes, file=${finalPath}`, + ); + + return finalPath ?? ''; + } + + /** 暂停录制 */ + pauseRecording(): void { + if (!this.recording || this.paused) return; + this.paused = true; + this.pauseStartedAt = Date.now(); + logger.info('[VideoRecorder] 暂停录制'); + } + + /** 恢复录制 */ + resumeRecording(): void { + if (!this.recording || !this.paused) return; + this.pausedDurationMs += Date.now() - this.pauseStartedAt; + this.paused = false; + logger.info('[VideoRecorder] 恢复录制'); + } + + /** + * 接收渲染进程回传的视频数据块，追加写入文件 + * 由 IPC handler 调用 + */ + handleRendererChunk(chunkBuffer: ArrayBuffer): void { + if (!this.recording || this.paused || !this.writeStream) return; + const buf = Buffer.from(chunkBuffer); + this.writeStream.write(buf); + this.fileSizeBytes += buf.byteLength; + } + + /** + * 处理渲染进程上报的录制错误 + * 停止录制并向渲染进程广播错误通知 + */ + handleRendererError(errorInfo: { message: string }): void { + logger.error('[VideoRecorder] 渲染进程录制错误:', errorInfo.message); + // 标记录制停止，避免后续操作 + this.recording = false; + this.paused = false; + this.stopStatusTimer(); + // 关闭文件流 + if (this.writeStream) { + this.writeStream.end(); + this.writeStream = null; + } + // 向渲染进程广播错误事件 + if (this.boundWin && !this.boundWin.isDestroyed()) { + this.boundWin.webContents.send('video_record_error', { + message: errorInfo.message, + filePath: this.filePath, + }); + } + } + + /** 绑定主窗口（用于 IPC 通信） */ + bindWindow(win: BrowserWindow): void { + this.boundWin = win; + } + + /** 销毁实例，释放资源 */ + dispose(): void { + if (this.recording) { + this.stopRecording().catch((err) => { + logger.error('[VideoRecorder] dispose 时停止录制失败:', err); + }); + } + this.stopStatusTimer(); + this.disposed = true; + this.boundWin = null; + logger.info('[VideoRecorder] 已销毁'); + } + + // ================================================================ + // 私有方法 + // ================================================================ + + /** 计算有效录制时长（扣除暂停时间） */ + private getDurationMs(): number { + if (!this.startTime) return 0; + const elapsed = Date.now() - this.startTime; + const pauseOffset = this.paused + ? this.pausedDurationMs + (Date.now() - this.pauseStartedAt) + : this.pausedDurationMs; + return Math.max(0, elapsed - pauseOffset); + } + + /** 向渲染进程推送录制状态 */ + private pushStatus(): void { + if (!this.boundWin || this.boundWin.isDestroyed()) return; + this.boundWin.webContents.send('video_record_status', this.status); + } + + /** 停止状态推送定时器 */ + private stopStatusTimer(): void { + if (this.statusTimer !== null) { + clearInterval(this.statusTimer); + this.statusTimer = null; + } + } +} diff --git a/client/electron/windowManager.ts b/client/electron/windowManager.ts index eb647b27..150333e1 100644 --- a/client/electron/windowManager.ts +++ b/client/electron/windowManager.ts @@ -1,245 +1,247 @@ -/** - * 主窗口管理器 - * - * 从 main.ts 拆分而来，负责 BrowserWindow 创建配置 - * 及关闭行为偏好持久化。 - */ - -import { BrowserWindow, app, shell } from 'electron'; -import * as path from 'path'; -import { access, readFile, writeFile } from 'fs/promises'; -import { logger } from './logger.js'; -import { createTray } from './trayManager.js'; - -// ================================================================ -// 常量 -// ================================================================ - -const WINDOW_DEFAULT_WIDTH = 1200; -const WINDOW_DEFAULT_HEIGHT = 800; -const WINDOW_MIN_WIDTH = 600; - -// ================================================================ -// 关闭偏好持久化 -// ================================================================ - -/** 缓存的关闭选择，避免在同步事件处理器中执行异步 I/O */ -let cachedCloseChoice: string | null = null; - -/** 退出前同步状态 */ -let syncBeforeQuitRequested = false; -let syncBeforeQuitCompleted = false; - -/** 同步超时保护定时器（防止渲染进程无响应导致退出卡死） */ -let syncTimeoutTimer: ReturnType | null = null; - -/** 同步超时时间（毫秒）：渲染进程未响应则强制继续退出 */ -const SYNC_BEFORE_QUIT_TIMEOUT_MS = 1500; - -/** 读取保存的关闭选择 */ -export async function getCloseChoice(): Promise { - try { - const configPath = path.join(app.getPath('userData'), 'close-preference.json'); - try { - await access(configPath); - } catch { - return null; - } - const data = JSON.parse(await readFile(configPath, 'utf-8')); - cachedCloseChoice = data.choice || null; - return cachedCloseChoice; - } catch { /* ignore */ } - return null; -} - -/** 保存关闭选择到配置文件 */ -export async function saveCloseChoice(choice: string): Promise { - try { - const configPath = path.join(app.getPath('userData'), 'close-preference.json'); - await writeFile(configPath, JSON.stringify({ choice }), 'utf-8'); - cachedCloseChoice = choice; - } catch { /* ignore */ } -} - -// ================================================================ -// 创建主窗口 -// ================================================================ - -/** - * 创建并返回主窗口 - * - * @param isQuittingRef - 退出标志引用，用于区分“最小化到托盘”与“真正退出” - * @param onQuit - 确认退出时的回调 - * @returns 创建的 BrowserWindow 实例 - */ -export function createMainWindow( - isQuittingRef: { value: boolean }, - onQuit: () => void, -): BrowserWindow { - const win = new BrowserWindow({ - width: WINDOW_DEFAULT_WIDTH, - height: WINDOW_DEFAULT_HEIGHT, - minWidth: 800, - minHeight: WINDOW_MIN_WIDTH, - title: '熵减', - frame: false, - show: false, // 启动缓冲带：等待渲染就绪后再显示 - backgroundColor: '#0C1524', // 深海底色，防止白闪 - icon: path.join(app.getAppPath(), 'app-icon.png'), - webPreferences: { - contextIsolation: true, - nodeIntegration: false, - sandbox: true, - backgroundThrottling: false, // 保证后台计时器精度 - preload: path.join(__dirname, 'preload.js'), - }, - }); - - // 启动缓冲带：渲染进程首次绘制完成后显示窗口 - win.once('ready-to-show', () => { - win.show(); - win.focus(); - logger.info('[Window] Window shown (ready-to-show)'); - }); - - // 拦截外部链接：target="_blank" 或 window.open() 统一用系统默认浏览器打开 - win.webContents.setWindowOpenHandler(({ url }) => { - if (url.startsWith('https://') || url.startsWith('http://')) { - shell.openExternal(url); - } - return { action: 'deny' }; - }); - - // 窗口最大化状态变化时通知前端 - win.on('maximize', () => { - win.webContents.send('window:maximized-changed', true); - }); - win.on('unmaximize', () => { - win.webContents.send('window:maximized-changed', false); - }); - - // 判断开发/生产模式 - const isDev = process.env.NODE_ENV === 'development' || !app.isPackaged; - - if (isDev) { - // 开发模式：连接 Vite 开发服务器 - win.loadURL('http://localhost:5173'); - // 等待页面加载完成后再打开 DevTools，避免 "Runtime agent is not enabled" 错误 - win.webContents.once('did-finish-load', () => { - win.webContents.openDevTools({ mode: 'right' }); - }); - } else { - // 生产模式：加载打包后的 index.html - win.loadFile(path.join(app.getAppPath(), 'dist', 'index.html')); - - // 生产环境禁用 DevTools（防止用户打开开发人员工具） - win.webContents.on('devtools-opened', () => { - win.webContents.closeDevTools(); - }); - // 拦截 DevTools 快捷键 - win.webContents.on('before-input-event', (event, input) => { - if ( - (input.control && input.shift && input.key.toLowerCase() === 'i') || - (input.control && input.shift && input.key.toLowerCase() === 'j') || - (input.key === 'F12') - ) { - event.preventDefault(); - } - }); - } - - // 预加载关闭偏好（异步加载，同步事件处理器使用缓存值） - getCloseChoice(); // fire-and-forget：加载结果写入 cachedCloseChoice - - // 关闭窗口时根据用户偏好决定行为 - win.on('close', (event) => { - if (!isQuittingRef.value) { - event.preventDefault(); - const savedChoice = cachedCloseChoice; - if (savedChoice === 'quit') { - syncAndQuit(win, isQuittingRef, onQuit); - } else if (savedChoice === 'minimize') { - win.hide(); - } else { - // 无记忆选择，通知前端弹出确认对话框 - win.webContents.send('window:closing'); - } - } else if (!syncBeforeQuitCompleted) { - // 用户确认退出，先触发数据同步 - if (!syncBeforeQuitRequested) { - event.preventDefault(); - syncBeforeQuitRequested = true; - logger.info('[Window] Sync before quit: requesting renderer sync'); - win.webContents.send('sync:before-quit'); - } else { - // 同步尚未完成，继续等待 - event.preventDefault(); - } - } - // syncBeforeQuitCompleted === true 时允许窗口正常关闭 - }); - - // 创建系统托盘 - createTray(win, syncAndQuit.bind(null, win, isQuittingRef, onQuit)); - - logger.info('[Window] Main window created'); - return win; -} - -/** - * 退出前同步流程入口 - * 立即隐藏窗口（感知零延迟），后台执行同步再真正关闭 - * 附带超时保护：若渲染进程在 SYNC_BEFORE_QUIT_TIMEOUT_MS 内未响应，强制继续退出 - */ -function syncAndQuit( - win: BrowserWindow, - isQuittingRef: { value: boolean }, - onQuit: () => void, -): void { - if (syncBeforeQuitRequested && !syncBeforeQuitCompleted) { - // 同步已在进行中，等待完成（超时保护已启动） - return; - } - if (syncBeforeQuitCompleted) { - // 同步已完成，直接退出 - isQuittingRef.value = true; - onQuit(); - return; - } - - // ✨ 立即隐藏窗口，用户感知零延迟退出 - win.hide(); - - // 后台触发同步 - syncBeforeQuitRequested = true; - logger.info('[Window] Sync before quit: window hidden, requesting renderer sync'); - win.webContents.send('sync:before-quit'); - - // 超时保护：渲染进程未响应时强制完成同步流程 - syncTimeoutTimer = setTimeout(() => { - syncTimeoutTimer = null; - if (!syncBeforeQuitCompleted) { - logger.warn('[Window] Sync before quit: timeout reached, forcing quit'); - completeSyncBeforeQuit(); - } - }, SYNC_BEFORE_QUIT_TIMEOUT_MS); -} - -/** - * 渲染进程同步完成后调用，允许窗口关闭 - * 也可由超时保护触发（渲染进程无响应时强制继续） - */ -export function completeSyncBeforeQuit(): void { - if (syncBeforeQuitCompleted) return; // 幂等保护 - syncBeforeQuitCompleted = true; - - // 清除超时定时器（若由渲染进程正常完成） - if (syncTimeoutTimer) { - clearTimeout(syncTimeoutTimer); - syncTimeoutTimer = null; - } - - logger.info('[Window] Sync before quit: completed, proceeding with quit'); - // 直接调用 app.quit()，避免再次触发 win.close() 的 close 事件循环 - app.quit(); -} +/** + * 主窗口管理器 + * + * 从 main.ts 拆分而来，负责 BrowserWindow 创建配置 + * 及关闭行为偏好持久化。 + * + * @ai-context: 主窗口创建与关闭策略（退出确认/最小化到托盘/退出前同步等待）。 + */ + +import { BrowserWindow, app, shell } from 'electron'; +import * as path from 'path'; +import { access, readFile, writeFile } from 'fs/promises'; +import { logger } from './logger.js'; +import { createTray } from './trayManager.js'; + +// ================================================================ +// 常量 +// ================================================================ + +const WINDOW_DEFAULT_WIDTH = 1200; +const WINDOW_DEFAULT_HEIGHT = 800; +const WINDOW_MIN_WIDTH = 600; + +// ================================================================ +// 关闭偏好持久化 +// ================================================================ + +/** 缓存的关闭选择，避免在同步事件处理器中执行异步 I/O */ +let cachedCloseChoice: string | null = null; + +/** 退出前同步状态 */ +let syncBeforeQuitRequested = false; +let syncBeforeQuitCompleted = false; + +/** 同步超时保护定时器（防止渲染进程无响应导致退出卡死） */ +let syncTimeoutTimer: ReturnType | null = null; + +/** 同步超时时间（毫秒）：渲染进程未响应则强制继续退出 */ +const SYNC_BEFORE_QUIT_TIMEOUT_MS = 1500; + +/** 读取保存的关闭选择 */ +export async function getCloseChoice(): Promise { + try { + const configPath = path.join(app.getPath('userData'), 'close-preference.json'); + try { + await access(configPath); + } catch { + return null; + } + const data = JSON.parse(await readFile(configPath, 'utf-8')); + cachedCloseChoice = data.choice || null; + return cachedCloseChoice; + } catch { /* ignore */ } + return null; +} + +/** 保存关闭选择到配置文件 */ +export async function saveCloseChoice(choice: string): Promise { + try { + const configPath = path.join(app.getPath('userData'), 'close-preference.json'); + await writeFile(configPath, JSON.stringify({ choice }), 'utf-8'); + cachedCloseChoice = choice; + } catch { /* ignore */ } +} + +// ================================================================ +// 创建主窗口 +// ================================================================ + +/** + * 创建并返回主窗口 + * + * @param isQuittingRef - 退出标志引用，用于区分“最小化到托盘”与“真正退出” + * @param onQuit - 确认退出时的回调 + * @returns 创建的 BrowserWindow 实例 + */ +export function createMainWindow( + isQuittingRef: { value: boolean }, + onQuit: () => void, +): BrowserWindow { + const win = new BrowserWindow({ + width: WINDOW_DEFAULT_WIDTH, + height: WINDOW_DEFAULT_HEIGHT, + minWidth: 800, + minHeight: WINDOW_MIN_WIDTH, + title: '熵减', + frame: false, + show: false, // 启动缓冲带：等待渲染就绪后再显示 + backgroundColor: '#0C1524', // 深海底色，防止白闪 + icon: path.join(app.getAppPath(), 'app-icon.png'), + webPreferences: { + contextIsolation: true, + nodeIntegration: false, + sandbox: true, + backgroundThrottling: false, // 保证后台计时器精度 + preload: path.join(__dirname, 'preload.js'), + }, + }); + + // 启动缓冲带：渲染进程首次绘制完成后显示窗口 + win.once('ready-to-show', () => { + win.show(); + win.focus(); + logger.info('[Window] Window shown (ready-to-show)'); + }); + + // 拦截外部链接：target="_blank" 或 window.open() 统一用系统默认浏览器打开 + win.webContents.setWindowOpenHandler(({ url }) => { + if (url.startsWith('https://') || url.startsWith('http://')) { + shell.openExternal(url); + } + return { action: 'deny' }; + }); + + // 窗口最大化状态变化时通知前端 + win.on('maximize', () => { + win.webContents.send('window:maximized-changed', true); + }); + win.on('unmaximize', () => { + win.webContents.send('window:maximized-changed', false); + }); + + // 判断开发/生产模式 + const isDev = process.env.NODE_ENV === 'development' || !app.isPackaged; + + if (isDev) { + // 开发模式：连接 Vite 开发服务器 + win.loadURL('http://localhost:5173'); + // 等待页面加载完成后再打开 DevTools，避免 "Runtime agent is not enabled" 错误 + win.webContents.once('did-finish-load', () => { + win.webContents.openDevTools({ mode: 'right' }); + }); + } else { + // 生产模式：加载打包后的 index.html + win.loadFile(path.join(app.getAppPath(), 'dist', 'index.html')); + + // 生产环境禁用 DevTools（防止用户打开开发人员工具） + win.webContents.on('devtools-opened', () => { + win.webContents.closeDevTools(); + }); + // 拦截 DevTools 快捷键 + win.webContents.on('before-input-event', (event, input) => { + if ( + (input.control && input.shift && input.key.toLowerCase() === 'i') || + (input.control && input.shift && input.key.toLowerCase() === 'j') || + (input.key === 'F12') + ) { + event.preventDefault(); + } + }); + } + + // 预加载关闭偏好（异步加载，同步事件处理器使用缓存值） + getCloseChoice(); // fire-and-forget：加载结果写入 cachedCloseChoice + + // 关闭窗口时根据用户偏好决定行为 + win.on('close', (event) => { + if (!isQuittingRef.value) { + event.preventDefault(); + const savedChoice = cachedCloseChoice; + if (savedChoice === 'quit') { + syncAndQuit(win, isQuittingRef, onQuit); + } else if (savedChoice === 'minimize') { + win.hide(); + } else { + // 无记忆选择，通知前端弹出确认对话框 + win.webContents.send('window:closing'); + } + } else if (!syncBeforeQuitCompleted) { + // 用户确认退出，先触发数据同步 + if (!syncBeforeQuitRequested) { + event.preventDefault(); + syncBeforeQuitRequested = true; + logger.info('[Window] Sync before quit: requesting renderer sync'); + win.webContents.send('sync:before-quit'); + } else { + // 同步尚未完成，继续等待 + event.preventDefault(); + } + } + // syncBeforeQuitCompleted === true 时允许窗口正常关闭 + }); + + // 创建系统托盘 + createTray(win, syncAndQuit.bind(null, win, isQuittingRef, onQuit)); + + logger.info('[Window] Main window created'); + return win; +} + +/** + * 退出前同步流程入口 + * 立即隐藏窗口（感知零延迟），后台执行同步再真正关闭 + * 附带超时保护：若渲染进程在 SYNC_BEFORE_QUIT_TIMEOUT_MS 内未响应，强制继续退出 + */ +function syncAndQuit( + win: BrowserWindow, + isQuittingRef: { value: boolean }, + onQuit: () => void, +): void { + if (syncBeforeQuitRequested && !syncBeforeQuitCompleted) { + // 同步已在进行中，等待完成（超时保护已启动） + return; + } + if (syncBeforeQuitCompleted) { + // 同步已完成，直接退出 + isQuittingRef.value = true; + onQuit(); + return; + } + + // ✨ 立即隐藏窗口，用户感知零延迟退出 + win.hide(); + + // 后台触发同步 + syncBeforeQuitRequested = true; + logger.info('[Window] Sync before quit: window hidden, requesting renderer sync'); + win.webContents.send('sync:before-quit'); + + // 超时保护：渲染进程未响应时强制完成同步流程 + syncTimeoutTimer = setTimeout(() => { + syncTimeoutTimer = null; + if (!syncBeforeQuitCompleted) { + logger.warn('[Window] Sync before quit: timeout reached, forcing quit'); + completeSyncBeforeQuit(); + } + }, SYNC_BEFORE_QUIT_TIMEOUT_MS); +} + +/** + * 渲染进程同步完成后调用，允许窗口关闭 + * 也可由超时保护触发（渲染进程无响应时强制继续） + */ +export function completeSyncBeforeQuit(): void { + if (syncBeforeQuitCompleted) return; // 幂等保护 + syncBeforeQuitCompleted = true; + + // 清除超时定时器（若由渲染进程正常完成） + if (syncTimeoutTimer) { + clearTimeout(syncTimeoutTimer); + syncTimeoutTimer = null; + } + + logger.info('[Window] Sync before quit: completed, proceeding with quit'); + // 直接调用 app.quit()，避免再次触发 win.close() 的 close 事件循环 + app.quit(); +} diff --git a/client/electron/windowScorer.ts b/client/electron/windowScorer.ts index 698113cd..c44ea0a3 100644 --- a/client/electron/windowScorer.ts +++ b/client/electron/windowScorer.ts @@ -1,128 +1,130 @@ -/** - * 窗口智能评分与过滤模块 - * - * 基于关键词匹配对 desktopCapturer 返回的窗口列表进行评分和排序， - * 过滤系统/不可见窗口，将最可能是网课/直播/会议的窗口排在前面。 - * 仅针对 Windows 平台优化关键词列表。 - */ - -// ================================================================ -// 类型定义 -// ================================================================ - -export interface ScoredWindow { - id: string; - title: string; - thumbnail: string; - score: number; - matched?: string; // 命中的关键词（用于前端显示推荐理由） -} - -// ================================================================ -// 关键词评分规则 -// ================================================================ - -const SCORE_RULES = { - /** 高优先级：网课/直播/会议关键词 (+100) */ - highPriority: [ - '网课', '直播', '课程', '课堂', '学习', '讲座', '培训', - '腾讯会议', '钉钉', 'Zoom', 'Teams', 'Meet', 'Webex', - '中国大学MOOC', '学堂在线', '智慧树', '学习通', '雨课堂', - 'Bilibili', '哔哩哔哩', 'YouTube', '网易公开课', - 'Coursera', 'edX', 'Udemy', - ], - /** 中优先级：浏览器/视频播放器 (+50) */ - mediumPriority: [ - 'Chrome', 'Edge', 'Firefox', 'Brave', 'Opera', - 'PotPlayer', 'VLC', 'mpv', 'Windows Media', - 'EV录屏', 'OBS', 'MPC-HC', - ], - /** 黑名单：系统/工具窗口（直接过滤） */ - blacklist: [ - 'Program Manager', - 'Taskbar', - 'Settings', - '设置', - 'Windows Input Experience', - 'MSCTFIME', - 'Default IME', - 'Electron', - 'Entropy decrease', - '课伴', - '熵减', - ], -} as const; - -const HIGH_SCORE = 100; -const MEDIUM_SCORE = 50; - -// ================================================================ -// 评分逻辑 -// ================================================================ - -/** - * 对窗口标题进行关键词匹配评分 - * @returns score 和 matched 关键词，若命中黑名单返回 null - */ -function scoreTitle(title: string): { score: number; matched?: string } | null { - const lowerTitle = title.toLowerCase(); - - // 黑名单检测 - for (const keyword of SCORE_RULES.blacklist) { - if (lowerTitle.includes(keyword.toLowerCase())) { - return null; // 过滤 - } - } - - // 高优先级匹配 - for (const keyword of SCORE_RULES.highPriority) { - if (lowerTitle.includes(keyword.toLowerCase())) { - return { score: HIGH_SCORE, matched: keyword }; - } - } - - // 中优先级匹配 - for (const keyword of SCORE_RULES.mediumPriority) { - if (lowerTitle.includes(keyword.toLowerCase())) { - return { score: MEDIUM_SCORE, matched: keyword }; - } - } - - // 无匹配，基础分 0 - return { score: 0 }; -} - -/** - * 对窗口列表进行评分、过滤和排序 - * @param windows 原始窗口列表（来自 desktopCapturer） - * @returns 过滤并排序后的窗口列表（降序） - */ -export function scoreAndFilterWindows( - windows: { id: string; title: string; thumbnail: string }[], -): ScoredWindow[] { - const scored: ScoredWindow[] = []; - - for (const win of windows) { - // 过滤空标题窗口 - if (!win.title || win.title.trim() === '') continue; - - const result = scoreTitle(win.title); - if (result === null) continue; // 命中黑名单 - - scored.push({ - id: win.id, - title: win.title, - thumbnail: win.thumbnail, - score: result.score, - matched: result.matched, - }); - } - - // 按 score 降序排列，同分按 id 稳定排序 - scored.sort((a, b) => { - if (b.score !== a.score) return b.score - a.score; - return a.id.localeCompare(b.id); - }); - - return scored; -} +/** + * 窗口智能评分与过滤模块 + * + * 基于关键词匹配对 desktopCapturer 返回的窗口列表进行评分和排序， + * 过滤系统/不可见窗口，将最可能是网课/直播/会议的窗口排在前面。 + * 仅针对 Windows 平台优化关键词列表。 + * + * @ai-context: 采集窗口智能评分过滤：排除自身窗口（含旧品牌'课伴'关键词——防旧版本窗口被采集，为兼容保留勿删）与系统窗口。 + */ + +// ================================================================ +// 类型定义 +// ================================================================ + +export interface ScoredWindow { + id: string; + title: string; + thumbnail: string; + score: number; + matched?: string; // 命中的关键词（用于前端显示推荐理由） +} + +// ================================================================ +// 关键词评分规则 +// ================================================================ + +const SCORE_RULES = { + /** 高优先级：网课/直播/会议关键词 (+100) */ + highPriority: [ + '网课', '直播', '课程', '课堂', '学习', '讲座', '培训', + '腾讯会议', '钉钉', 'Zoom', 'Teams', 'Meet', 'Webex', + '中国大学MOOC', '学堂在线', '智慧树', '学习通', '雨课堂', + 'Bilibili', '哔哩哔哩', 'YouTube', '网易公开课', + 'Coursera', 'edX', 'Udemy', + ], + /** 中优先级：浏览器/视频播放器 (+50) */ + mediumPriority: [ + 'Chrome', 'Edge', 'Firefox', 'Brave', 'Opera', + 'PotPlayer', 'VLC', 'mpv', 'Windows Media', + 'EV录屏', 'OBS', 'MPC-HC', + ], + /** 黑名单：系统/工具窗口（直接过滤） */ + blacklist: [ + 'Program Manager', + 'Taskbar', + 'Settings', + '设置', + 'Windows Input Experience', + 'MSCTFIME', + 'Default IME', + 'Electron', + 'Entropy decrease', + '课伴', + '熵减', + ], +} as const; + +const HIGH_SCORE = 100; +const MEDIUM_SCORE = 50; + +// ================================================================ +// 评分逻辑 +// ================================================================ + +/** + * 对窗口标题进行关键词匹配评分 + * @returns score 和 matched 关键词，若命中黑名单返回 null + */ +function scoreTitle(title: string): { score: number; matched?: string } | null { + const lowerTitle = title.toLowerCase(); + + // 黑名单检测 + for (const keyword of SCORE_RULES.blacklist) { + if (lowerTitle.includes(keyword.toLowerCase())) { + return null; // 过滤 + } + } + + // 高优先级匹配 + for (const keyword of SCORE_RULES.highPriority) { + if (lowerTitle.includes(keyword.toLowerCase())) { + return { score: HIGH_SCORE, matched: keyword }; + } + } + + // 中优先级匹配 + for (const keyword of SCORE_RULES.mediumPriority) { + if (lowerTitle.includes(keyword.toLowerCase())) { + return { score: MEDIUM_SCORE, matched: keyword }; + } + } + + // 无匹配，基础分 0 + return { score: 0 }; +} + +/** + * 对窗口列表进行评分、过滤和排序 + * @param windows 原始窗口列表（来自 desktopCapturer） + * @returns 过滤并排序后的窗口列表（降序） + */ +export function scoreAndFilterWindows( + windows: { id: string; title: string; thumbnail: string }[], +): ScoredWindow[] { + const scored: ScoredWindow[] = []; + + for (const win of windows) { + // 过滤空标题窗口 + if (!win.title || win.title.trim() === '') continue; + + const result = scoreTitle(win.title); + if (result === null) continue; // 命中黑名单 + + scored.push({ + id: win.id, + title: win.title, + thumbnail: win.thumbnail, + score: result.score, + matched: result.matched, + }); + } + + // 按 score 降序排列，同分按 id 稳定排序 + scored.sort((a, b) => { + if (b.score !== a.score) return b.score - a.score; + return a.id.localeCompare(b.id); + }); + + return scored; +} diff --git a/client/index.html b/client/index.html index 91c60670..d8bbb7b0 100644 --- a/client/index.html +++ b/client/index.html @@ -1,19 +1,19 @@ - - - - - - - 熵减 - - - -

-
- 熵减 -
- -
- - - + + + + + + + 熵减 + + + +
+
+ 熵减 +
+ +
+ + + diff --git a/client/package-lock.json b/client/package-lock.json index f49c5739..4f93e0fe 100644 --- a/client/package-lock.json +++ b/client/package-lock.json @@ -1,18287 +1,18287 @@ -{ - "name": "entropy-decrease", - "version": "0.24.0", - "lockfileVersion": 3, - "requires": true, - "packages": { - "": { - "name": "entropy-decrease", - "version": "0.24.0", - "hasInstallScript": true, - "dependencies": { - "@automerge/automerge": "^3.3.2", - "@modelcontextprotocol/sdk": "^1.29.0", - "@modelcontextprotocol/server-filesystem": "^2026.7.10", - "@modelcontextprotocol/server-memory": "^2026.7.4", - "@modelcontextprotocol/server-sequential-thinking": "^2026.7.4", - "@radix-ui/react-context-menu": "^2.3.3", - "@radix-ui/react-dialog": "^1.1.19", - "@radix-ui/react-slot": "^1.3.0", - "@radix-ui/react-toast": "^1.2.19", - "@react-three/drei": "^9.122.0", - "@react-three/fiber": "^8.18.0", - "@react-three/postprocessing": "^2.19.1", - "@supabase/supabase-js": "^2.110.1", - "@tanstack/react-query": "^5.101.2", - 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-{ - "name": "entropy-decrease", - "productName": "Entropy decrease", - "private": true, - "license": "BUSL-1.1", - "version": "0.24.0", - "description": "熵减 - 跨端学习平台", - "author": "Entropy Decrease Team", - "main": "dist-electron/electron/main.js", - "scripts": { - "dev": "vite --mode test", - "build": "tsc -b && vite build", - "lint": "oxlint", - "preview": "vite preview", - "electron:dev": "concurrently -k -n vite,electron \"cross-env ELECTRON_BUILD=1 vite --mode test\" \"wait-on http://localhost:5173 && tsc -p electron/tsconfig.json && cross-env ELECTRON_BUILD=1 NODE_ENV=development VITE_AI_GATEWAY_URL=http://101.37.70.235:8000 electron .\"", - "electron:build": "cross-env ELECTRON_BUILD=1 vite build && tsc -p electron/tsconfig.json && electron-builder", - "test": "vitest run", - "test:watch": "vitest", - "postinstall": "electron-rebuild -f -w better-sqlite3", - "modelcontextprotocol": "mcp-server-sdk", - "fs": "mcp-server-filesystem", - "seq": "mcp-server-sequential-thinking", - "memory": "mcp-server-memory" - }, - "dependencies": { - "@automerge/automerge": "^3.3.2", - "@modelcontextprotocol/sdk": "^1.29.0", - "@modelcontextprotocol/server-filesystem": "^2026.7.10", - "@modelcontextprotocol/server-memory": "^2026.7.4", - "@modelcontextprotocol/server-sequential-thinking": "^2026.7.4", - "@radix-ui/react-context-menu": "^2.3.3", - "@radix-ui/react-dialog": "^1.1.19", - "@radix-ui/react-slot": "^1.3.0", - "@radix-ui/react-toast": "^1.2.19", - "@react-three/drei": "^9.122.0", - "@react-three/fiber": "^8.18.0", - "@react-three/postprocessing": "^2.19.1", - "@supabase/supabase-js": "^2.110.1", - "@tanstack/react-query": "^5.101.2", - "@tanstack/react-virtual": "^3.14.5", - "@tiptap/extension-color": "^3.27.3", - "@tiptap/extension-highlight": "^3.27.3", - "@tiptap/extension-image": "^3.27.3", - "@tiptap/extension-placeholder": "^3.27.3", - "@tiptap/extension-table": "^3.27.3", - "@tiptap/extension-table-cell": "^3.27.3", - "@tiptap/extension-table-header": "^3.27.3", - "@tiptap/extension-table-row": "^3.27.3", - "@tiptap/extension-task-item": "^3.27.3", - "@tiptap/extension-task-list": "^3.27.3", - "@tiptap/extension-text-align": "^3.27.3", - "@tiptap/extension-text-style": "^3.27.3", - "@tiptap/extension-underline": "^3.27.3", - "@tiptap/pm": "^3.27.3", - "@tiptap/react": "^3.27.3", - "@tiptap/starter-kit": "^3.27.3", - "better-sqlite3": "^11.0.0", - "class-variance-authority": "^0.7.1", - "clsx": "^2.1.1", - "dexie": "^4.4.4", - "dompurify": "^3.4.12", - "electron-updater": "^6.3.9", - "framer-motion": "^12.42.2", - "lucide-react": "^1.23.0", - "lxgw-wenkai-lite-webfont": "^1.7.0", - "pixelmatch": "^7.2.0", - "pngjs": "^7.0.0", - "react": "^18.3.1", - "react-dom": "^18.3.1", - "react-router-dom": "^7.18.1", - "recharts": "^3.9.2", - "tailwind-merge": "^3.6.0", - "tailwindcss-animate": "^1.0.7", - "three": "^0.185.1", - "uuid": "^14.0.1", - "zustand": "^5.0.14" - }, - "devDependencies": { - "@testing-library/jest-dom": "^6.9.1", - "@testing-library/react": "^16.3.2", - "@types/better-sqlite3": "^7.6.0", - "@types/dompurify": "^3.0.5", - "@types/node": "^24.13.2", - "@types/pngjs": "^6.0.5", - "@types/react": "^18.3.18", - "@types/react-dom": "^18.3.5", - "@types/three": "^0.185.1", - "@types/uuid": "^10.0.0", - "@vitejs/plugin-react": "^6.0.3", - "autoprefixer": "^10.5.2", - "concurrently": "^10.0.3", - "cross-env": "^10.1.0", - "electron": "^35.7.5", - "electron-builder": "^25.1.8", - "electron-rebuild": "^3.2.9", - "jsdom": "^29.1.1", - "oxlint": "^1.71.0", - "postcss": "^8.5.16", - "tailwindcss": "^3.4.19", - "typescript": "~6.0.2", - "vite": "^8.1.1", - "vite-plugin-pwa": "^1.3.0", - "vitest": "^4.1.10", - "wait-on": "^9.0.10", - "workbox-window": "^7.4.1" - } -} +{ + "name": "entropy-decrease", + "productName": "Entropy decrease", + "private": true, + "license": "BUSL-1.1", + "version": "0.23.0", + "description": "熵减 - 跨端学习平台", + "author": "Entropy Decrease Team", + "main": "dist-electron/electron/main.js", + "scripts": { + "dev": "vite --mode test", + "build": "tsc -b && vite build", + "lint": "oxlint", + "preview": "vite preview", + "electron:dev": "concurrently -k -n vite,electron \"cross-env ELECTRON_BUILD=1 vite --mode test\" \"wait-on http://localhost:5173 && tsc -p electron/tsconfig.json && cross-env ELECTRON_BUILD=1 NODE_ENV=development VITE_AI_GATEWAY_URL=http://101.37.70.235:8000 electron .\"", + "electron:build": "cross-env ELECTRON_BUILD=1 vite build && tsc -p electron/tsconfig.json && electron-builder", + "test": "vitest run", + "test:watch": "vitest", + "postinstall": "electron-rebuild -f -w better-sqlite3", + "modelcontextprotocol": "mcp-server-sdk", + "fs": "mcp-server-filesystem", + "seq": "mcp-server-sequential-thinking", + "memory": "mcp-server-memory" + }, + "dependencies": { + "@automerge/automerge": "^3.3.2", + "@modelcontextprotocol/sdk": "^1.29.0", + "@modelcontextprotocol/server-filesystem": "^2026.7.10", + "@modelcontextprotocol/server-memory": "^2026.7.4", + "@modelcontextprotocol/server-sequential-thinking": "^2026.7.4", + "@radix-ui/react-context-menu": "^2.3.3", + "@radix-ui/react-dialog": "^1.1.19", + "@radix-ui/react-slot": "^1.3.0", + "@radix-ui/react-toast": "^1.2.19", + "@react-three/drei": "^9.122.0", + "@react-three/fiber": "^8.18.0", + "@react-three/postprocessing": "^2.19.1", + "@supabase/supabase-js": "^2.110.1", + "@tanstack/react-query": "^5.101.2", + "@tanstack/react-virtual": "^3.14.5", + "@tiptap/extension-color": "^3.27.3", + "@tiptap/extension-highlight": "^3.27.3", + "@tiptap/extension-image": "^3.27.3", + "@tiptap/extension-placeholder": "^3.27.3", + "@tiptap/extension-table": "^3.27.3", + "@tiptap/extension-table-cell": "^3.27.3", + "@tiptap/extension-table-header": "^3.27.3", + "@tiptap/extension-table-row": "^3.27.3", + "@tiptap/extension-task-item": "^3.27.3", + "@tiptap/extension-task-list": "^3.27.3", + "@tiptap/extension-text-align": "^3.27.3", + "@tiptap/extension-text-style": "^3.27.3", + "@tiptap/extension-underline": "^3.27.3", + "@tiptap/pm": "^3.27.3", + "@tiptap/react": "^3.27.3", + "@tiptap/starter-kit": "^3.27.3", + "better-sqlite3": "^11.0.0", + "class-variance-authority": "^0.7.1", + "clsx": "^2.1.1", + "dexie": "^4.4.4", + "dompurify": "^3.4.12", + "electron-updater": "^6.3.9", + "framer-motion": "^12.42.2", + "lucide-react": "^1.23.0", + "lxgw-wenkai-lite-webfont": "^1.7.0", + "pixelmatch": "^7.2.0", + "pngjs": "^7.0.0", + "react": "^18.3.1", + "react-dom": "^18.3.1", + "react-router-dom": "^7.18.1", + "recharts": "^3.9.2", + "tailwind-merge": "^3.6.0", + "tailwindcss-animate": "^1.0.7", + "three": "^0.185.1", + "uuid": "^14.0.1", + "zustand": "^5.0.14" + }, + "devDependencies": { + "@testing-library/jest-dom": "^6.9.1", + "@testing-library/react": "^16.3.2", + "@types/better-sqlite3": "^7.6.0", + "@types/dompurify": "^3.0.5", + "@types/node": "^24.13.2", + "@types/pngjs": "^6.0.5", + "@types/react": "^18.3.18", + "@types/react-dom": "^18.3.5", + "@types/three": "^0.185.1", + "@types/uuid": "^10.0.0", + "@vitejs/plugin-react": "^6.0.3", + "autoprefixer": "^10.5.2", + "concurrently": "^10.0.3", + "cross-env": "^10.1.0", + "electron": "^35.7.5", + "electron-builder": "^25.1.8", + "electron-rebuild": "^3.2.9", + "jsdom": "^29.1.1", + "oxlint": "^1.71.0", + "postcss": "^8.5.16", + "tailwindcss": "^3.4.19", + "typescript": "~6.0.2", + "vite": "^8.1.1", + "vite-plugin-pwa": "^1.3.0", + "vitest": "^4.1.10", + "wait-on": "^9.0.10", + "workbox-window": "^7.4.1" + } +} diff --git a/client/postcss.config.js b/client/postcss.config.js index 2e7af2b7..5eec88dd 100644 --- a/client/postcss.config.js +++ b/client/postcss.config.js @@ -1,6 +1,6 @@ -export default { - plugins: { - tailwindcss: {}, - autoprefixer: {}, - }, -} +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/client/public/app-icon.png b/client/public/app-icon.png deleted file mode 100644 index 0855ce3b..00000000 --- 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