feat: 实现多 OCR 提供商架构和完整设置页面
## 主要变更 ### OCR 架构 - 新增多提供商 OCR 系统 (Tesseract.js, Baidu OCR, RapidOCR) - 添加 Provider 基类接口和工厂模式 - 支持 provider 自动选择和降级处理 - 新增 RapidOCR Python HTTP 服务 (端口 8080) ### 路径修复 - 修复 Windows 平台路径解析问题 - 统一路径处理工具 (lib/path.ts) - 修复 uploads 目录定位问题 ### 设置页面重构 - 三个标签页：API 配置、OCR 配置、AI 配置 - API 服务器地址配置 - OCR 服务商配置（Tesseract.js, RapidOCR, 百度 OCR） - AI 服务商配置（智谱 GLM, MiniMax, DeepSeek, Kimi, OpenAI, Anthropic） ### 端口配置 - 前端端口: 13056 - 后端端口: 13057 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
锦麟 王
@@ -26,9 +26,14 @@ npm run test:watch # Jest 监视模式
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npm run test:coverage # 测试覆盖率报告
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npm run test:coverage # 测试覆盖率报告
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npm run lint # ESLint 检查
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npm run lint # ESLint 检查
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npm run lint:fix # ESLint 自动修复
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npm run lint:fix # ESLint 自动修复
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npm run format # Prettier 格式化
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npm run prisma:generate # 生成 Prisma Client
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npm run prisma:generate # 生成 Prisma Client
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npm run prisma:migrate # 运行数据库迁移
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npm run prisma:migrate # 运行数据库迁移
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npm run prisma:studio # 打开 Prisma Studio
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npm run prisma:studio # 打开 Prisma Studio
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# 运行单个测试文件
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npm test -- tests/unit/services/auth.service.test.ts
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npm test -- --testNamePattern="should login"
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```
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```
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### 前端 (端口 3000)
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### 前端 (端口 3000)
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@@ -43,6 +48,12 @@ npm run test:coverage # Vitest 覆盖率报告
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npm run test:e2e # 运行 Playwright E2E 测试
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npm run test:e2e # 运行 Playwright E2E 测试
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npm run test:e2e:ui # Playwright UI 模式
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npm run test:e2e:ui # Playwright UI 模式
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npm run lint # ESLint 检查
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npm run lint # ESLint 检查
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# 运行单个测试文件
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npx vitest src/services/__tests__/auth.service.test.ts
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# 运行单个 E2E 测试
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npx playwright test auth.spec.ts
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```
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```
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### 数据库操作
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### 数据库操作
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@@ -63,12 +74,18 @@ backend/src/
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├── services/ # 业务逻辑层
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├── services/ # 业务逻辑层
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│ ├── auth.service.ts # 认证逻辑 (注册/登录/验证)
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│ ├── auth.service.ts # 认证逻辑 (注册/登录/验证)
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│ ├── password.service.ts # 密码验证和强度检查
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│ ├── password.service.ts # 密码验证和强度检查
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│ ├── ocr.service.ts # OCR 处理逻辑（置信度验证、重试）
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│ ├── ocr.service.ts # OCR 置信度验证和重试逻辑
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│ ├── ocr-processor.service.ts # OCR 处理服务 (多 Provider 支持)
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│ ├── ocr-providers/ # OCR Provider 实现
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│ │ ├── base.provider.ts # 基础接口
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│ │ ├── tesseract.provider.ts # Tesseract.js (本地)
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│ │ ├── baidu.provider.ts # 百度 OCR (云端)
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│ │ └── rapidocr.provider.ts # RapidOCR (本地)
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│ ├── document.service.ts # 文档 CRUD
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│ ├── document.service.ts # 文档 CRUD
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│ ├── todo.service.ts # 待办事项管理（三态工作流）
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│ ├── todo.service.ts # 待办事项管理（三态工作流）
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│ └── image.service.ts # 图片上传和处理
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│ └── image.service.ts # 图片上传和处理
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├── routes/ # API 路由定义
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├── routes/ # API 路由定义
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├── middleware/ # 中间件 (JWT 认证)
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├── middleware/ # 中间件 (JWT 认证、上传)
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└── lib/prisma.ts # Prisma 客户端单例
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└── lib/prisma.ts # Prisma 客户端单例
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```
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```
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@@ -76,6 +93,8 @@ backend/src/
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- **分层架构**: Controller → Service → Prisma (数据层)
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- **分层架构**: Controller → Service → Prisma (数据层)
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- **服务类**: 使用静态方法实现无状态业务逻辑
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- **服务类**: 使用静态方法实现无状态业务逻辑
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- **中间件**: JWT 认证中间件保护需要登录的路由
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- **中间件**: JWT 认证中间件保护需要登录的路由
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- **OCR Provider**: 可插拔的 OCR 提供商架构，支持扩展
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- **上传中间件**: `upload.middleware.ts` 使用 multer 处理文件上传
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### 前端架构
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### 前端架构
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```
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```
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@@ -130,17 +149,75 @@ SELECT * FROM images
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WHERE user_id = ? AND (document_id IS NULL OR processing_status = 'failed')
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WHERE user_id = ? AND (document_id IS NULL OR processing_status = 'failed')
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```
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```
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## OCR 多 Provider 架构
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系统支持多种 OCR 提供商，可根据需求选择：
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| Provider | 类型 | 速度 | 准确率 | 成本 | 部署要求 |
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|----------|------|------|--------|------|----------|
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| **tesseract** | 本地 | 慢 | 中 | 免费 | `npm install tesseract.js` |
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| **rapidocr** | 本地 | 快 | 高 | 免费 | Docker: `cshgg/rapidocr` |
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| **baidu** | 云端 | 快 | 高 | 按次付费 (有免费额度) | 需要 API Key |
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### 配置方式
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在 `.env` 中设置 `OCR_PROVIDER`:
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```bash
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# 自动选择可用的 provider (推荐)
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OCR_PROVIDER="auto"
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# 或指定具体 provider
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OCR_PROVIDER="tesseract" # 或 "rapidocr", "baidu"
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```
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### 各 Provider 配置
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**Tesseract.js** (本地轻量，免费)
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```bash
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# 安装依赖
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npm install tesseract.js
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# 无需额外配置
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```
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**RapidOCR** (本地快速准确，推荐)
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```bash
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# Docker 启动
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docker run -d -p 8080:8080 cshgg/rapidocr
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# 配置环境变量
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RAPIDOCR_API_URL="http://localhost:8080"
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```
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**Baidu OCR** (云端准确，有免费额度)
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```bash
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# 申请地址: https://cloud.baidu.com/product/ocr
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BAIDU_OCR_API_KEY="your_api_key"
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BAIDU_OCR_SECRET_KEY="your_secret_key"
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```
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### Provider 架构
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OCR Provider 实现位于 `backend/src/services/ocr-providers/`:
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- `base.provider.ts` - 基础接口定义
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- `tesseract.provider.ts` - Tesseract.js 实现
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- `rapidocr.provider.ts` - RapidOCR HTTP API 实现
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- `baidu.provider.ts` - 百度 OCR API 实现
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新增 Provider 只需继承 `BaseOCRProvider` 并实现 `recognize()` 方法。
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## 测试策略
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## 测试策略
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### 后端测试 (Jest)
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### 后端测试 (Jest)
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- 单元测试覆盖所有 Service 类
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- 单元测试覆盖所有 Service 类
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- 集成测试验证 API 端点
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- 集成测试验证 API 端点
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- 目标覆盖率: 80%+
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- 覆盖率阈值: 80% (branches, functions, lines, statements)
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- 测试文件匹配: `**/__tests__/**/*.ts`, `**/?(*.)+(spec|test).ts`
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### 前端测试
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### 前端测试
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- **Vitest**: 组件和服务的单元测试
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- **Vitest**: 组件和服务的单元测试
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- **Playwright**: E2E 测试，跨浏览器测试 (Chrome, Firefox, Safari)
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- **Playwright**: E2E 测试，跨浏览器测试 (Chrome, Firefox, Safari)
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- 测试文件位于 `e2e/` 目录
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- 测试文件位于 `e2e/` 目录
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- E2E 测试配置: 自动启动开发服务器，支持 CI 模式重试
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## API 端点
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## API 端点
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@@ -161,16 +238,66 @@ WHERE user_id = ? AND (document_id IS NULL OR processing_status = 'failed')
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- `DELETE /api/todos/:id` - 删除待办
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- `DELETE /api/todos/:id` - 删除待办
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### 图片
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### 图片
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- `POST /api/images/upload` - 上传图片
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- `POST /api/images` - 上传图片
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- `GET /api/images` - 获取图片列表
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- `GET /api/images` - 获取用户图片列表
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- `GET /api/images/pending` - 获取待处理图片 (OCR 失败)
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- `GET /api/images/ocr/providers` - 获取可用的 OCR 提供商列表
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- `GET /api/images/:id` - 获取单张图片详情
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- `POST /api/images/:id/reprocess` - 重新触发 OCR 处理 (支持指定 provider)
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- `PUT /api/images/:id/ocr` - 更新 OCR 结果
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- `PUT /api/images/:id/link` - 关联图片到文档
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- `DELETE /api/images/:id` - 删除图片
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## 环境变量
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## 环境变量
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后端需要创建 `.env` 文件：
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后端需要创建 `.env` 文件（参考 `backend/.env.example`）：
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```
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```
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# Database
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DATABASE_URL="file:./dev.db"
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DATABASE_URL="file:./dev.db"
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JWT_SECRET="your-secret-key"
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# JWT
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JWT_SECRET="your-secret-key-change-in-production"
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JWT_EXPIRES_IN="24h"
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# Server
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PORT=4000
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PORT=4000
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NODE_ENV="development"
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# CORS
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CORS_ORIGIN="http://localhost:3000"
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# OCR Provider: tesseract | baidu | rapidocr | auto
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OCR_PROVIDER="auto"
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OCR_CONFIDENCE_THRESHOLD="0.3"
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# Tesseract.js (本地 OCR)
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# 安装: npm install tesseract.js
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# Baidu OCR (云端 OCR)
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BAIDU_OCR_API_KEY=""
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BAIDU_OCR_SECRET_KEY=""
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# RapidOCR (本地快速 OCR)
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RAPIDOCR_API_URL="http://localhost:8080"
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# AI (GLM)
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GLM_API_KEY=""
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GLM_API_URL="https://open.bigmodel.cn/api/paas/v4/chat/completions"
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GLM_MODEL="glm-4-flash"
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# AI (MiniMax)
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MINIMAX_API_KEY=""
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MINIMAX_API_URL="https://api.minimax.chat/v1/chat/completions"
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MINIMAX_MODEL="abab6.5s-chat"
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# AI (DeepSeek)
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DEEPSEEK_API_KEY=""
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DEEPSEEK_API_URL="https://api.deepseek.com/v1/chat/completions"
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DEEPSEEK_MODEL="deepseek-chat"
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# Upload
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UPLOAD_MAX_SIZE="10485760"
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UPLOAD_ALLOWED_TYPES="image/jpeg,image/png,image/webp"
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```
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```
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## 测试账号
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## 测试账号
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@@ -187,10 +314,11 @@ PORT=4000
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- ✅ 文档 CRUD
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- ✅ 文档 CRUD
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- ✅ 待办三态工作流
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- ✅ 待办三态工作流
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- ✅ 图片上传和 OCR 状态追踪
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- ✅ 图片上传和 OCR 状态追踪
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- ✅ 多 Provider OCR 架构 (Tesseract.js / Baidu / RapidOCR)
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- ✅ 前后端单元测试 (148 个测试全部通过)
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- ✅ 前后端单元测试 (148 个测试全部通过)
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- ✅ E2E 测试框架
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- ✅ E2E 测试框架
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待开发功能 (P1 优先级)：
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待开发功能 (P1 优先级)：
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- ⏳ OCR 集成 (Tesseract/PaddleOCR)
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- ⏳ AI 分析功能 (GLM/MiniMax/DeepSeek)
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- ⏳ AI 分析功能 (GLM/MiniMax/DeepSeek)
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- ⏳ 图片-文档-待办关联增强
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- ⏳ 图片-文档-待办关联增强
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- ⏳ 前端 OCR 设置页面 (Provider 选择和测试)
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+19
-1
@@ -13,9 +13,27 @@ NODE_ENV="development"
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CORS_ORIGIN="http://localhost:3000"
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CORS_ORIGIN="http://localhost:3000"
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# OCR
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# OCR
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OCR_PROVIDER="local"
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# OCR Provider: tesseract | baidu | rapidocr | auto
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# - tesseract: 本地轻量，需要安装 tesseract.js
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# - baidu: 云端准确，需要配置 API Key (有免费额度)
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# - rapidocr: 本地快速准确，需要启动 RapidOCR 服务
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# - auto: 自动选择可用的 provider
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OCR_PROVIDER="auto"
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OCR_CONFIDENCE_THRESHOLD="0.3"
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OCR_CONFIDENCE_THRESHOLD="0.3"
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# Tesseract.js (本地 OCR，无需额外配置)
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# 安装: npm install tesseract.js
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# Baidu OCR (云端 OCR，需要申请密钥)
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# 获取地址: https://cloud.baidu.com/product/ocr
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BAIDU_OCR_API_KEY=""
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BAIDU_OCR_SECRET_KEY=""
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# RapidOCR (本地快速 OCR，需要启动服务)
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# Docker: docker run -d -p 8080:8080 cshgg/rapidocr
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# 或参考: https://github.com/RapidAI/RapidOCR
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RAPIDOCR_API_URL="http://localhost:8080"
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# AI (GLM)
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# AI (GLM)
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GLM_API_KEY=""
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GLM_API_KEY=""
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GLM_API_URL="https://open.bigmodel.cn/api/paas/v4/chat/completions"
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GLM_API_URL="https://open.bigmodel.cn/api/paas/v4/chat/completions"
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Generated
+93
@@ -16,6 +16,7 @@
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"express": "^4.21.2",
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"express": "^4.21.2",
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"jsonwebtoken": "^9.0.2",
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"jsonwebtoken": "^9.0.2",
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"multer": "^1.4.5-lts.1",
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"multer": "^1.4.5-lts.1",
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"tesseract.js": "^5.1.1",
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"winston": "^3.17.0"
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"winston": "^3.17.0"
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},
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},
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"devDependencies": {
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"devDependencies": {
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@@ -37,6 +38,9 @@
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|||||||
"ts-jest": "^29.2.5",
|
"ts-jest": "^29.2.5",
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"tsx": "^4.19.2",
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"tsx": "^4.19.2",
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"typescript": "^5.7.2"
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"typescript": "^5.7.2"
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},
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"optionalDependencies": {
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||||||
|
"tesseract.js": "^5.1.1"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"node_modules/@babel/code-frame": {
|
"node_modules/@babel/code-frame": {
|
||||||
@@ -2777,6 +2781,13 @@
|
|||||||
"node": ">= 10.0.0"
|
"node": ">= 10.0.0"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/bmp-js": {
|
||||||
|
"version": "0.1.0",
|
||||||
|
"resolved": "https://registry.npmmirror.com/bmp-js/-/bmp-js-0.1.0.tgz",
|
||||||
|
"integrity": "sha512-vHdS19CnY3hwiNdkaqk93DvjVLfbEcI8mys4UjuWrlX1haDmroo8o4xCzh4wD6DGV6HxRCyauwhHRqMTfERtjw==",
|
||||||
|
"license": "MIT",
|
||||||
|
"optional": true
|
||||||
|
},
|
||||||
"node_modules/body-parser": {
|
"node_modules/body-parser": {
|
||||||
"version": "1.20.4",
|
"version": "1.20.4",
|
||||||
"resolved": "https://registry.npmjs.org/body-parser/-/body-parser-1.20.4.tgz",
|
"resolved": "https://registry.npmjs.org/body-parser/-/body-parser-1.20.4.tgz",
|
||||||
@@ -4617,6 +4628,13 @@
|
|||||||
"node": ">=0.10.0"
|
"node": ">=0.10.0"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/idb-keyval": {
|
||||||
|
"version": "6.2.2",
|
||||||
|
"resolved": "https://registry.npmmirror.com/idb-keyval/-/idb-keyval-6.2.2.tgz",
|
||||||
|
"integrity": "sha512-yjD9nARJ/jb1g+CvD0tlhUHOrJ9Sy0P8T9MF3YaLlHnSRpwPfpTX0XIvpmw3gAJUmEu3FiICLBDPXVwyEvrleg==",
|
||||||
|
"license": "Apache-2.0",
|
||||||
|
"optional": true
|
||||||
|
},
|
||||||
"node_modules/ignore": {
|
"node_modules/ignore": {
|
||||||
"version": "7.0.5",
|
"version": "7.0.5",
|
||||||
"resolved": "https://registry.npmjs.org/ignore/-/ignore-7.0.5.tgz",
|
"resolved": "https://registry.npmjs.org/ignore/-/ignore-7.0.5.tgz",
|
||||||
@@ -4723,6 +4741,13 @@
|
|||||||
"url": "https://github.com/sponsors/ljharb"
|
"url": "https://github.com/sponsors/ljharb"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/is-electron": {
|
||||||
|
"version": "2.2.2",
|
||||||
|
"resolved": "https://registry.npmmirror.com/is-electron/-/is-electron-2.2.2.tgz",
|
||||||
|
"integrity": "sha512-FO/Rhvz5tuw4MCWkpMzHFKWD2LsfHzIb7i6MdPYZ/KW7AlxawyLkqdy+jPZP1WubqEADE3O4FUENlJHDfQASRg==",
|
||||||
|
"license": "MIT",
|
||||||
|
"optional": true
|
||||||
|
},
|
||||||
"node_modules/is-extglob": {
|
"node_modules/is-extglob": {
|
||||||
"version": "2.1.1",
|
"version": "2.1.1",
|
||||||
"resolved": "https://registry.npmjs.org/is-extglob/-/is-extglob-2.1.1.tgz",
|
"resolved": "https://registry.npmjs.org/is-extglob/-/is-extglob-2.1.1.tgz",
|
||||||
@@ -4787,6 +4812,13 @@
|
|||||||
"url": "https://github.com/sponsors/sindresorhus"
|
"url": "https://github.com/sponsors/sindresorhus"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/is-url": {
|
||||||
|
"version": "1.2.4",
|
||||||
|
"resolved": "https://registry.npmmirror.com/is-url/-/is-url-1.2.4.tgz",
|
||||||
|
"integrity": "sha512-ITvGim8FhRiYe4IQ5uHSkj7pVaPDrCTkNd3yq3cV7iZAcJdHTUMPMEHcqSOy9xZ9qFenQCvi+2wjH9a1nXqHww==",
|
||||||
|
"license": "MIT",
|
||||||
|
"optional": true
|
||||||
|
},
|
||||||
"node_modules/isarray": {
|
"node_modules/isarray": {
|
||||||
"version": "1.0.0",
|
"version": "1.0.0",
|
||||||
"resolved": "https://registry.npmjs.org/isarray/-/isarray-1.0.0.tgz",
|
"resolved": "https://registry.npmjs.org/isarray/-/isarray-1.0.0.tgz",
|
||||||
@@ -6167,6 +6199,16 @@
|
|||||||
"url": "https://github.com/sponsors/sindresorhus"
|
"url": "https://github.com/sponsors/sindresorhus"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/opencollective-postinstall": {
|
||||||
|
"version": "2.0.3",
|
||||||
|
"resolved": "https://registry.npmmirror.com/opencollective-postinstall/-/opencollective-postinstall-2.0.3.tgz",
|
||||||
|
"integrity": "sha512-8AV/sCtuzUeTo8gQK5qDZzARrulB3egtLzFgteqB2tcT4Mw7B8Kt7JcDHmltjz6FOAHsvTevk70gZEbhM4ZS9Q==",
|
||||||
|
"license": "MIT",
|
||||||
|
"optional": true,
|
||||||
|
"bin": {
|
||||||
|
"opencollective-postinstall": "index.js"
|
||||||
|
}
|
||||||
|
},
|
||||||
"node_modules/optionator": {
|
"node_modules/optionator": {
|
||||||
"version": "0.9.4",
|
"version": "0.9.4",
|
||||||
"resolved": "https://registry.npmjs.org/optionator/-/optionator-0.9.4.tgz",
|
"resolved": "https://registry.npmjs.org/optionator/-/optionator-0.9.4.tgz",
|
||||||
@@ -6610,6 +6652,13 @@
|
|||||||
"integrity": "sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g==",
|
"integrity": "sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g==",
|
||||||
"license": "MIT"
|
"license": "MIT"
|
||||||
},
|
},
|
||||||
|
"node_modules/regenerator-runtime": {
|
||||||
|
"version": "0.13.11",
|
||||||
|
"resolved": "https://registry.npmmirror.com/regenerator-runtime/-/regenerator-runtime-0.13.11.tgz",
|
||||||
|
"integrity": "sha512-kY1AZVr2Ra+t+piVaJ4gxaFaReZVH40AKNo7UCX6W+dEwBo/2oZJzqfuN1qLq1oL45o56cPaTXELwrTh8Fpggg==",
|
||||||
|
"license": "MIT",
|
||||||
|
"optional": true
|
||||||
|
},
|
||||||
"node_modules/require-directory": {
|
"node_modules/require-directory": {
|
||||||
"version": "2.1.1",
|
"version": "2.1.1",
|
||||||
"resolved": "https://registry.npmjs.org/require-directory/-/require-directory-2.1.1.tgz",
|
"resolved": "https://registry.npmjs.org/require-directory/-/require-directory-2.1.1.tgz",
|
||||||
@@ -7227,6 +7276,33 @@
|
|||||||
"integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
|
"integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
|
||||||
"license": "ISC"
|
"license": "ISC"
|
||||||
},
|
},
|
||||||
|
"node_modules/tesseract.js": {
|
||||||
|
"version": "5.1.1",
|
||||||
|
"resolved": "https://registry.npmmirror.com/tesseract.js/-/tesseract.js-5.1.1.tgz",
|
||||||
|
"integrity": "sha512-lzVl/Ar3P3zhpUT31NjqeCo1f+D5+YfpZ5J62eo2S14QNVOmHBTtbchHm/YAbOOOzCegFnKf4B3Qih9LuldcYQ==",
|
||||||
|
"hasInstallScript": true,
|
||||||
|
"license": "Apache-2.0",
|
||||||
|
"optional": true,
|
||||||
|
"dependencies": {
|
||||||
|
"bmp-js": "^0.1.0",
|
||||||
|
"idb-keyval": "^6.2.0",
|
||||||
|
"is-electron": "^2.2.2",
|
||||||
|
"is-url": "^1.2.4",
|
||||||
|
"node-fetch": "^2.6.9",
|
||||||
|
"opencollective-postinstall": "^2.0.3",
|
||||||
|
"regenerator-runtime": "^0.13.3",
|
||||||
|
"tesseract.js-core": "^5.1.1",
|
||||||
|
"wasm-feature-detect": "^1.2.11",
|
||||||
|
"zlibjs": "^0.3.1"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"node_modules/tesseract.js-core": {
|
||||||
|
"version": "5.1.1",
|
||||||
|
"resolved": "https://registry.npmmirror.com/tesseract.js-core/-/tesseract.js-core-5.1.1.tgz",
|
||||||
|
"integrity": "sha512-KX3bYSU5iGcO1XJa+QGPbi+Zjo2qq6eBhNjSGR5E5q0JtzkoipJKOUQD7ph8kFyteCEfEQ0maWLu8MCXtvX5uQ==",
|
||||||
|
"license": "Apache-2.0",
|
||||||
|
"optional": true
|
||||||
|
},
|
||||||
"node_modules/test-exclude": {
|
"node_modules/test-exclude": {
|
||||||
"version": "6.0.0",
|
"version": "6.0.0",
|
||||||
"resolved": "https://registry.npmjs.org/test-exclude/-/test-exclude-6.0.0.tgz",
|
"resolved": "https://registry.npmjs.org/test-exclude/-/test-exclude-6.0.0.tgz",
|
||||||
@@ -7652,6 +7728,13 @@
|
|||||||
"makeerror": "1.0.12"
|
"makeerror": "1.0.12"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/wasm-feature-detect": {
|
||||||
|
"version": "1.8.0",
|
||||||
|
"resolved": "https://registry.npmmirror.com/wasm-feature-detect/-/wasm-feature-detect-1.8.0.tgz",
|
||||||
|
"integrity": "sha512-zksaLKM2fVlnB5jQQDqKXXwYHLQUVH9es+5TOOHwGOVJOCeRBCiPjwSg+3tN2AdTCzjgli4jijCH290kXb/zWQ==",
|
||||||
|
"license": "Apache-2.0",
|
||||||
|
"optional": true
|
||||||
|
},
|
||||||
"node_modules/webidl-conversions": {
|
"node_modules/webidl-conversions": {
|
||||||
"version": "3.0.1",
|
"version": "3.0.1",
|
||||||
"resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
|
"resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
|
||||||
@@ -7879,6 +7962,16 @@
|
|||||||
"funding": {
|
"funding": {
|
||||||
"url": "https://github.com/sponsors/sindresorhus"
|
"url": "https://github.com/sponsors/sindresorhus"
|
||||||
}
|
}
|
||||||
|
},
|
||||||
|
"node_modules/zlibjs": {
|
||||||
|
"version": "0.3.1",
|
||||||
|
"resolved": "https://registry.npmmirror.com/zlibjs/-/zlibjs-0.3.1.tgz",
|
||||||
|
"integrity": "sha512-+J9RrgTKOmlxFSDHo0pI1xM6BLVUv+o0ZT9ANtCxGkjIVCCUdx9alUF8Gm+dGLKbkkkidWIHFDZHDMpfITt4+w==",
|
||||||
|
"license": "MIT",
|
||||||
|
"optional": true,
|
||||||
|
"engines": {
|
||||||
|
"node": "*"
|
||||||
|
}
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -17,7 +17,12 @@
|
|||||||
"prisma:migrate": "prisma migrate dev",
|
"prisma:migrate": "prisma migrate dev",
|
||||||
"prisma:studio": "prisma studio"
|
"prisma:studio": "prisma studio"
|
||||||
},
|
},
|
||||||
"keywords": ["ocr", "document-management", "ai", "tdd"],
|
"keywords": [
|
||||||
|
"ocr",
|
||||||
|
"document-management",
|
||||||
|
"ai",
|
||||||
|
"tdd"
|
||||||
|
],
|
||||||
"author": "",
|
"author": "",
|
||||||
"license": "MIT",
|
"license": "MIT",
|
||||||
"dependencies": {
|
"dependencies": {
|
||||||
@@ -30,6 +35,9 @@
|
|||||||
"multer": "^1.4.5-lts.1",
|
"multer": "^1.4.5-lts.1",
|
||||||
"winston": "^3.17.0"
|
"winston": "^3.17.0"
|
||||||
},
|
},
|
||||||
|
"optionalDependencies": {
|
||||||
|
"tesseract.js": "^5.1.1"
|
||||||
|
},
|
||||||
"devDependencies": {
|
"devDependencies": {
|
||||||
"@types/bcrypt": "^5.0.2",
|
"@types/bcrypt": "^5.0.2",
|
||||||
"@types/cors": "^2.8.17",
|
"@types/cors": "^2.8.17",
|
||||||
|
|||||||
@@ -6,7 +6,6 @@ generator client {
|
|||||||
|
|
||||||
datasource db {
|
datasource db {
|
||||||
provider = "sqlite"
|
provider = "sqlite"
|
||||||
url = env("DATABASE_URL")
|
|
||||||
}
|
}
|
||||||
|
|
||||||
// 用户
|
// 用户
|
||||||
|
|||||||
@@ -0,0 +1,114 @@
|
|||||||
|
"""
|
||||||
|
RapidOCR HTTP Server
|
||||||
|
为 Node.js 后端提供 OCR API 服务
|
||||||
|
"""
|
||||||
|
|
||||||
|
from rapidocr_onnxruntime import RapidOCR
|
||||||
|
from http.server import HTTPServer, BaseHTTPRequestHandler
|
||||||
|
import json
|
||||||
|
import base64
|
||||||
|
import numpy as np
|
||||||
|
from io import BytesIO
|
||||||
|
from PIL import Image
|
||||||
|
import cv2
|
||||||
|
|
||||||
|
# 初始化 RapidOCR
|
||||||
|
ocr = RapidOCR()
|
||||||
|
|
||||||
|
class OCRHandler(BaseHTTPRequestHandler):
|
||||||
|
def _set_cors(self):
|
||||||
|
"""设置 CORS"""
|
||||||
|
self.send_header('Access-Control-Allow-Origin', '*')
|
||||||
|
self.send_header('Access-Control-Allow-Methods', 'GET, POST, OPTIONS')
|
||||||
|
self.send_header('Access-Control-Allow-Headers', 'Content-Type')
|
||||||
|
|
||||||
|
def _send_json(self, data, status=200):
|
||||||
|
"""发送 JSON 响应"""
|
||||||
|
self.send_response(status)
|
||||||
|
self.send_header('Content-Type', 'application/json')
|
||||||
|
self._set_cors()
|
||||||
|
self.end_headers()
|
||||||
|
self.wfile.write(json.dumps(data, ensure_ascii=False).encode('utf-8'))
|
||||||
|
|
||||||
|
def do_OPTIONS(self):
|
||||||
|
"""处理 OPTIONS 请求"""
|
||||||
|
self.send_response(200)
|
||||||
|
self._set_cors()
|
||||||
|
self.end_headers()
|
||||||
|
|
||||||
|
def do_GET(self):
|
||||||
|
"""健康检查"""
|
||||||
|
if self.path == '/health':
|
||||||
|
self._send_json({"status": "ok", "service": "rapidocr"})
|
||||||
|
else:
|
||||||
|
self._send_json({"error": "Not found"}, 404)
|
||||||
|
|
||||||
|
def do_POST(self):
|
||||||
|
"""处理 OCR 请求"""
|
||||||
|
if self.path == '/ocr':
|
||||||
|
try:
|
||||||
|
content_length = int(self.headers['Content-Length'])
|
||||||
|
post_data = self.rfile.read(content_length)
|
||||||
|
data = json.loads(post_data.decode('utf-8'))
|
||||||
|
|
||||||
|
# 获取图片数据
|
||||||
|
images = data.get('images', [])
|
||||||
|
if not images:
|
||||||
|
self._send_json({"error": "No images provided"}, 400)
|
||||||
|
return
|
||||||
|
|
||||||
|
# 处理第一张图片
|
||||||
|
image_base64 = images[0]
|
||||||
|
image_data = base64.b64decode(image_base64)
|
||||||
|
|
||||||
|
# 转换为 OpenCV 格式
|
||||||
|
nparr = np.frombuffer(image_data, np.uint8)
|
||||||
|
img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
|
||||||
|
|
||||||
|
if img is None:
|
||||||
|
self._send_json({"error": "Failed to decode image"}, 400)
|
||||||
|
return
|
||||||
|
|
||||||
|
# 执行 OCR
|
||||||
|
result, _ = ocr(img)
|
||||||
|
|
||||||
|
# 格式化结果
|
||||||
|
ocr_results = []
|
||||||
|
for line in result:
|
||||||
|
ocr_results.append({
|
||||||
|
"text": line[0],
|
||||||
|
"score": float(line[1]),
|
||||||
|
"box": line[2]
|
||||||
|
})
|
||||||
|
|
||||||
|
# 计算平均置信度
|
||||||
|
avg_confidence = 0
|
||||||
|
if ocr_results:
|
||||||
|
avg_confidence = sum(r["score"] for r in ocr_results) / len(ocr_results)
|
||||||
|
|
||||||
|
self._send_json({
|
||||||
|
"code": 200,
|
||||||
|
"msg": "success",
|
||||||
|
"data": ocr_results
|
||||||
|
})
|
||||||
|
|
||||||
|
except Exception as e:
|
||||||
|
self._send_json({"error": str(e)}, 500)
|
||||||
|
else:
|
||||||
|
self._send_json({"error": "Not found"}, 404)
|
||||||
|
|
||||||
|
def log_message(self, format, *args):
|
||||||
|
"""减少日志输出"""
|
||||||
|
pass
|
||||||
|
|
||||||
|
def run_server(port=8080):
|
||||||
|
"""启动服务器"""
|
||||||
|
server_address = ('', port)
|
||||||
|
httpd = HTTPServer(server_address, OCRHandler)
|
||||||
|
print(f"RapidOCR Server running on port {port}")
|
||||||
|
print(f"Health check: http://localhost:{port}/health")
|
||||||
|
print(f"OCR endpoint: http://localhost:{port}/ocr")
|
||||||
|
httpd.serve_forever()
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
run_server()
|
||||||
@@ -6,11 +6,16 @@ import express from 'express';
|
|||||||
import cors from 'cors';
|
import cors from 'cors';
|
||||||
import dotenv from 'dotenv';
|
import dotenv from 'dotenv';
|
||||||
import path from 'path';
|
import path from 'path';
|
||||||
|
import { fileURLToPath } from 'url';
|
||||||
import authRoutes from './routes/auth.routes';
|
import authRoutes from './routes/auth.routes';
|
||||||
import documentRoutes from './routes/document.routes';
|
import documentRoutes from './routes/document.routes';
|
||||||
import todoRoutes from './routes/todo.routes';
|
import todoRoutes from './routes/todo.routes';
|
||||||
import imageRoutes from './routes/image.routes';
|
import imageRoutes from './routes/image.routes';
|
||||||
|
|
||||||
|
// 获取当前文件的目录
|
||||||
|
const __filename = fileURLToPath(import.meta.url);
|
||||||
|
const __dirname = path.dirname(__filename);
|
||||||
|
|
||||||
// Load environment variables
|
// Load environment variables
|
||||||
dotenv.config();
|
dotenv.config();
|
||||||
|
|
||||||
@@ -24,8 +29,8 @@ app.use(cors({
|
|||||||
app.use(express.json());
|
app.use(express.json());
|
||||||
app.use(express.urlencoded({ extended: true }));
|
app.use(express.urlencoded({ extended: true }));
|
||||||
|
|
||||||
// Static files for uploads
|
// Static files for uploads (使用绝对路径指向 backend/uploads)
|
||||||
app.use('/uploads', express.static(path.join(process.cwd(), 'uploads')));
|
app.use('/uploads', express.static(path.join(__dirname, '..', 'uploads')));
|
||||||
|
|
||||||
// Health check
|
// Health check
|
||||||
app.get('/api/health', (_req, res) => {
|
app.get('/api/health', (_req, res) => {
|
||||||
|
|||||||
@@ -0,0 +1,84 @@
|
|||||||
|
/**
|
||||||
|
* 路径解析工具
|
||||||
|
* 解决开发环境下路径解析问题
|
||||||
|
*/
|
||||||
|
|
||||||
|
import path from 'path';
|
||||||
|
import fs from 'fs';
|
||||||
|
import { fileURLToPath } from 'url';
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 获取项目根目录
|
||||||
|
* 通过从当前文件向上查找 package.json 来确定
|
||||||
|
*/
|
||||||
|
export function getProjectRoot(): string {
|
||||||
|
// 在开发环境使用 tsx 时，使用 process.cwd()
|
||||||
|
// 在构建后的环境，使用 __dirname 的方式
|
||||||
|
let currentDir: string;
|
||||||
|
|
||||||
|
try {
|
||||||
|
// ESM 模式下获取当前文件目录
|
||||||
|
const __filename = fileURLToPath(import.meta.url);
|
||||||
|
currentDir = path.dirname(__filename);
|
||||||
|
} catch {
|
||||||
|
// 回退到 process.cwd()
|
||||||
|
currentDir = process.cwd();
|
||||||
|
}
|
||||||
|
|
||||||
|
// Windows 路径处理（去除开头的 /）
|
||||||
|
if (process.platform === 'win32' && currentDir.startsWith('/') && /^[a-zA-Z]:/.test(currentDir.slice(1))) {
|
||||||
|
currentDir = currentDir.substring(1);
|
||||||
|
}
|
||||||
|
|
||||||
|
// 从当前目录向上查找 package.json
|
||||||
|
let searchDir = currentDir;
|
||||||
|
for (let i = 0; i < 10; i++) {
|
||||||
|
const pkgPath = path.join(searchDir, 'package.json');
|
||||||
|
if (fs.existsSync(pkgPath)) {
|
||||||
|
return searchDir;
|
||||||
|
}
|
||||||
|
searchDir = path.dirname(searchDir);
|
||||||
|
}
|
||||||
|
|
||||||
|
// 如果找不到，回退到 process.cwd()
|
||||||
|
return process.cwd();
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 获取上传目录的绝对路径
|
||||||
|
*/
|
||||||
|
export function getUploadsDir(): string {
|
||||||
|
const projectRoot = getProjectRoot();
|
||||||
|
return path.join(projectRoot, 'uploads');
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 解析图片路径
|
||||||
|
* 将数据库中存储的路径 (/uploads/xxx.png) 解析为绝对路径
|
||||||
|
*/
|
||||||
|
export function resolveImagePath(imagePath: string): string {
|
||||||
|
// 在 Windows 上，path.isAbsolute 会将 /uploads/... 认为是绝对路径
|
||||||
|
// 但这实际上是 Unix 风格的相对路径，需要特殊处理
|
||||||
|
const isWindowsAbsPath = process.platform === 'win32'
|
||||||
|
? /^[a-zA-Z]:\\/.test(imagePath) // Windows 真正的绝对路径如 C:\
|
||||||
|
: path.isAbsolute(imagePath);
|
||||||
|
|
||||||
|
if (isWindowsAbsPath) {
|
||||||
|
return imagePath;
|
||||||
|
}
|
||||||
|
|
||||||
|
// 处理 /uploads/ 开头的相对路径
|
||||||
|
if (imagePath.startsWith('/uploads/')) {
|
||||||
|
return path.join(getUploadsDir(), imagePath.replace('/uploads/', ''));
|
||||||
|
}
|
||||||
|
|
||||||
|
// 其他相对路径，使用项目根目录
|
||||||
|
return path.join(getProjectRoot(), imagePath);
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 生成存储到数据库的路径
|
||||||
|
*/
|
||||||
|
export function generateDbPath(filename: string): string {
|
||||||
|
return `/uploads/${filename}`;
|
||||||
|
}
|
||||||
@@ -5,9 +5,16 @@
|
|||||||
import multer from 'multer';
|
import multer from 'multer';
|
||||||
import path from 'path';
|
import path from 'path';
|
||||||
import fs from 'fs';
|
import fs from 'fs';
|
||||||
|
import { fileURLToPath } from 'url';
|
||||||
|
|
||||||
|
// 获取当前文件的目录
|
||||||
|
const __filename = fileURLToPath(import.meta.url);
|
||||||
|
const __dirname = path.dirname(__filename);
|
||||||
|
|
||||||
|
// uploads 目录放在 backend 根目录下
|
||||||
|
const uploadDir = path.join(__dirname, '..', '..', 'uploads');
|
||||||
|
|
||||||
// Ensure upload directory exists
|
// Ensure upload directory exists
|
||||||
const uploadDir = path.join(process.cwd(), 'uploads');
|
|
||||||
if (!fs.existsSync(uploadDir)) {
|
if (!fs.existsSync(uploadDir)) {
|
||||||
fs.mkdirSync(uploadDir, { recursive: true });
|
fs.mkdirSync(uploadDir, { recursive: true });
|
||||||
}
|
}
|
||||||
@@ -51,3 +58,6 @@ export const upload = multer({
|
|||||||
fileSize: 10 * 1024 * 1024, // 10MB limit
|
fileSize: 10 * 1024 * 1024, // 10MB limit
|
||||||
},
|
},
|
||||||
});
|
});
|
||||||
|
|
||||||
|
// 导出上传目录路径供其他模块使用
|
||||||
|
export { uploadDir };
|
||||||
|
|||||||
@@ -7,7 +7,8 @@ import { Router } from 'express';
|
|||||||
import { ImageController } from '../controllers/image.controller';
|
import { ImageController } from '../controllers/image.controller';
|
||||||
import { authenticate } from '../middleware/auth.middleware';
|
import { authenticate } from '../middleware/auth.middleware';
|
||||||
import { upload } from '../middleware/upload.middleware';
|
import { upload } from '../middleware/upload.middleware';
|
||||||
import { triggerOCRProcessing } from '../services/ocr-processor.service';
|
import { triggerOCRProcessing, OCRProcessorService } from '../services/ocr-processor.service';
|
||||||
|
import { OCRProviderType } from '../services/ocr-providers';
|
||||||
|
|
||||||
const router = Router();
|
const router = Router();
|
||||||
|
|
||||||
@@ -32,6 +33,27 @@ router.get('/', authenticate, ImageController.getUserImages);
|
|||||||
*/
|
*/
|
||||||
router.get('/pending', authenticate, ImageController.getPending);
|
router.get('/pending', authenticate, ImageController.getPending);
|
||||||
|
|
||||||
|
/**
|
||||||
|
* @route GET /api/images/ocr/providers
|
||||||
|
* @desc Get available OCR providers
|
||||||
|
* @access Private
|
||||||
|
*/
|
||||||
|
router.get('/ocr/providers', authenticate, async (_req, res) => {
|
||||||
|
try {
|
||||||
|
const providers = await OCRProcessorService.getAvailableProviders();
|
||||||
|
res.json({
|
||||||
|
success: true,
|
||||||
|
data: providers,
|
||||||
|
});
|
||||||
|
} catch (error) {
|
||||||
|
const message = error instanceof Error ? error.message : '获取 OCR 提供商失败';
|
||||||
|
res.status(500).json({
|
||||||
|
success: false,
|
||||||
|
error: message,
|
||||||
|
});
|
||||||
|
}
|
||||||
|
});
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* @route GET /api/images/:id
|
* @route GET /api/images/:id
|
||||||
* @desc Get image by ID
|
* @desc Get image by ID
|
||||||
@@ -43,14 +65,16 @@ router.get('/:id', authenticate, ImageController.getById);
|
|||||||
* @route POST /api/images/:id/reprocess
|
* @route POST /api/images/:id/reprocess
|
||||||
* @desc Re-trigger OCR processing
|
* @desc Re-trigger OCR processing
|
||||||
* @access Private
|
* @access Private
|
||||||
|
* @body { provider?: 'tesseract' | 'baidu' | 'rapidocr' | 'auto' }
|
||||||
*/
|
*/
|
||||||
router.post('/:id/reprocess', authenticate, async (req, res) => {
|
router.post('/:id/reprocess', authenticate, async (req, res) => {
|
||||||
try {
|
try {
|
||||||
const userId = req.user!.user_id;
|
const userId = typeof req.user!.user_id === 'string' ? req.user!.user_id : String(req.user!.user_id);
|
||||||
const { id } = req.params;
|
const id = typeof req.params.id === 'string' ? req.params.id : req.params.id[0];
|
||||||
|
const { provider } = req.body;
|
||||||
|
|
||||||
// 触发 OCR 处理
|
// 触发 OCR 处理
|
||||||
triggerOCRProcessing(id, userId);
|
triggerOCRProcessing(id, userId, { provider: provider as OCRProviderType });
|
||||||
|
|
||||||
res.json({
|
res.json({
|
||||||
success: true,
|
success: true,
|
||||||
|
|||||||
@@ -1,20 +1,36 @@
|
|||||||
/**
|
/**
|
||||||
* OCR Processor Service
|
* OCR Processor Service
|
||||||
* 处理图片 OCR 识别的异步服务
|
* 处理图片 OCR 识别的异步服务
|
||||||
|
* 支持多种 OCR Provider: Tesseract.js, Baidu OCR, RapidOCR
|
||||||
*/
|
*/
|
||||||
|
|
||||||
import { prisma } from '../lib/prisma';
|
import { prisma } from '../lib/prisma';
|
||||||
import { ImageService } from './image.service';
|
import { ImageService } from './image.service';
|
||||||
import fs from 'fs';
|
import {
|
||||||
import path from 'path';
|
OCRProviderFactory,
|
||||||
|
OCRProviderType,
|
||||||
|
IImageSource,
|
||||||
|
} from './ocr-providers';
|
||||||
|
|
||||||
|
export interface OCRProcessOptions {
|
||||||
|
/** 指定 OCR Provider */
|
||||||
|
provider?: OCRProviderType;
|
||||||
|
/** 置信度阈值 */
|
||||||
|
confidenceThreshold?: number;
|
||||||
|
}
|
||||||
|
|
||||||
export class OCRProcessorService {
|
export class OCRProcessorService {
|
||||||
/**
|
/**
|
||||||
* 处理图片的 OCR 识别
|
* 处理图片的 OCR 识别
|
||||||
* 注意：当前是模拟实现，返回占位符文本
|
* @param imageId 图片 ID
|
||||||
* 实际使用时需要集成 Tesseract.js 或其他 OCR 服务
|
* @param userId 用户 ID
|
||||||
|
* @param options 处理选项
|
||||||
*/
|
*/
|
||||||
static async processImage(imageId: string, userId: string): Promise<void> {
|
static async processImage(
|
||||||
|
imageId: string,
|
||||||
|
userId: string,
|
||||||
|
options: OCRProcessOptions = {}
|
||||||
|
): Promise<void> {
|
||||||
try {
|
try {
|
||||||
// 更新状态为处理中
|
// 更新状态为处理中
|
||||||
await prisma.image.update({
|
await prisma.image.update({
|
||||||
@@ -28,12 +44,14 @@ export class OCRProcessorService {
|
|||||||
throw new Error('Image not found');
|
throw new Error('Image not found');
|
||||||
}
|
}
|
||||||
|
|
||||||
// TODO: 集成真实的 OCR 服务
|
// 执行 OCR 识别
|
||||||
// 当前使用模拟实现
|
const ocrResult = await this.performOCR(image, options);
|
||||||
const ocrResult = await this.performOCRSimulated(image);
|
|
||||||
|
|
||||||
// 根据置信度决定状态
|
// 根据置信度决定状态
|
||||||
const status = ocrResult.confidence >= 0.3 ? 'completed' : 'failed';
|
const threshold = options.confidenceThreshold
|
||||||
|
? parseFloat(options.confidenceThreshold.toString())
|
||||||
|
: parseFloat(process.env.OCR_CONFIDENCE_THRESHOLD || '0.3');
|
||||||
|
const status = ocrResult.confidence >= threshold ? 'completed' : 'failed';
|
||||||
|
|
||||||
await prisma.image.update({
|
await prisma.image.update({
|
||||||
where: { id: imageId },
|
where: { id: imageId },
|
||||||
@@ -57,109 +75,106 @@ export class OCRProcessorService {
|
|||||||
}
|
}
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* 模拟 OCR 处理
|
* 执行 OCR 识别
|
||||||
* 实际实现应该调用 Tesseract.js 或其他 OCR API
|
* @param image 图片信息
|
||||||
|
* @param options 处理选项
|
||||||
*/
|
*/
|
||||||
private static async performOCRSimulated(image: any): Promise<{
|
private static async performOCR(
|
||||||
text: string;
|
image: any,
|
||||||
confidence: number;
|
options: OCRProcessOptions = {}
|
||||||
}> {
|
): Promise<{ text: string; confidence: number }> {
|
||||||
// 模拟处理延迟
|
// 获取 OCR Provider
|
||||||
await new Promise(resolve => setTimeout(resolve, 2000));
|
const providerType = options.provider || (process.env.OCR_PROVIDER as OCRProviderType) || 'auto';
|
||||||
|
const provider = OCRProviderFactory.create(providerType);
|
||||||
|
|
||||||
// TODO: 实际 OCR 集成选项：
|
// 检查 provider 是否可用
|
||||||
// 1. Tesseract.js (本地)
|
const available = await provider.isAvailable();
|
||||||
// import Tesseract from 'tesseract.js';
|
if (!available) {
|
||||||
// const { data: { text, confidence } } = await Tesseract.recognize(imagePath, 'chi_sim+eng');
|
throw new Error(
|
||||||
//
|
`OCR Provider "${provider.getName()}" 不可用。` +
|
||||||
// 2. PaddleOCR (需要 Python 服务)
|
`请检查配置或安装相应的依赖。`
|
||||||
// const response = await fetch('http://localhost:5000/ocr', {
|
);
|
||||||
// method: 'POST',
|
}
|
||||||
// body: JSON.stringify({ image_path: imagePath }),
|
|
||||||
// });
|
// 准备图片来源
|
||||||
//
|
const source: IImageSource = {
|
||||||
// 3. 云端 OCR API (百度/腾讯/阿里)
|
path: image.file_path,
|
||||||
|
};
|
||||||
|
|
||||||
|
// 执行识别
|
||||||
|
const result = await provider.recognize(source);
|
||||||
|
|
||||||
|
console.log(
|
||||||
|
`[OCR] Provider: ${provider.getName()}, ` +
|
||||||
|
`Confidence: ${(result.confidence * 100).toFixed(1)}%, ` +
|
||||||
|
`Duration: ${result.duration}ms, ` +
|
||||||
|
`Text length: ${result.text.length}`
|
||||||
|
);
|
||||||
|
|
||||||
// 模拟返回结果
|
|
||||||
return {
|
return {
|
||||||
text: '[模拟 OCR 结果] 图片文字识别功能尚未集成。请在设置页面配置 OCR 服务后重试。',
|
text: result.text,
|
||||||
confidence: 0.5,
|
confidence: result.confidence,
|
||||||
};
|
};
|
||||||
}
|
}
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* 使用 Tesseract.js 进行 OCR 识别（需要安装依赖）
|
* 获取所有可用的 OCR Providers
|
||||||
*/
|
*/
|
||||||
private static async performOCRWithTesseract(imagePath: string): Promise<{
|
static async getAvailableProviders(): Promise<
|
||||||
text: string;
|
Array<{ type: string; name: string; available: boolean; typeDesc: string }>
|
||||||
confidence: number;
|
> {
|
||||||
}> {
|
return OCRProviderFactory.getAvailableProviders();
|
||||||
// 动态导入 Tesseract（如果已安装）
|
|
||||||
try {
|
|
||||||
const Tesseract = await import('tesseract.js');
|
|
||||||
|
|
||||||
// 检查文件是否存在
|
|
||||||
const fullPath = path.join(process.cwd(), imagePath.replace('/uploads/', 'uploads/'));
|
|
||||||
if (!fs.existsSync(fullPath)) {
|
|
||||||
throw new Error(`Image file not found: ${fullPath}`);
|
|
||||||
}
|
}
|
||||||
|
|
||||||
const result = await Tesseract.recognize(fullPath, 'chi_sim+eng', {
|
/**
|
||||||
logger: (m: any) => console.log(m),
|
* 测试指定的 OCR Provider
|
||||||
});
|
*/
|
||||||
|
static async testProvider(
|
||||||
|
providerType: OCRProviderType,
|
||||||
|
imagePath: string
|
||||||
|
): Promise<{
|
||||||
|
success: boolean;
|
||||||
|
result?: { text: string; confidence: number; duration: number };
|
||||||
|
error?: string;
|
||||||
|
}> {
|
||||||
|
try {
|
||||||
|
const provider = OCRProviderFactory.create(providerType);
|
||||||
|
const available = await provider.isAvailable();
|
||||||
|
|
||||||
|
if (!available) {
|
||||||
|
return {
|
||||||
|
success: false,
|
||||||
|
error: `Provider "${provider.getName()}" 不可用`,
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
const result = await provider.recognize({ path: imagePath });
|
||||||
|
|
||||||
return {
|
return {
|
||||||
text: result.data.text,
|
success: true,
|
||||||
confidence: result.data.confidence / 100, // Tesseract 返回 0-100，需要转换为 0-1
|
result: {
|
||||||
|
text: result.text,
|
||||||
|
confidence: result.confidence,
|
||||||
|
duration: result.duration || 0,
|
||||||
|
},
|
||||||
};
|
};
|
||||||
} catch (error) {
|
} catch (error) {
|
||||||
// 如果 Tesseract 未安装，返回模拟结果
|
return {
|
||||||
console.warn('Tesseract.js not installed, using simulated OCR:', error);
|
success: false,
|
||||||
return this.performOCRSimulated(null);
|
error: error instanceof Error ? error.message : String(error),
|
||||||
|
};
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
/**
|
|
||||||
* 调用外部 OCR API（示例）
|
|
||||||
*/
|
|
||||||
private static async performOCRWithAPI(imagePath: string): Promise<{
|
|
||||||
text: string;
|
|
||||||
confidence: number;
|
|
||||||
}> {
|
|
||||||
// 示例：调用百度 OCR API
|
|
||||||
// const apiKey = process.env.BAIDU_OCR_API_KEY;
|
|
||||||
// const secretKey = process.env.BAIDU_OCR_SECRET_KEY;
|
|
||||||
//
|
|
||||||
// // 获取 access token
|
|
||||||
// const tokenResponse = await fetch(`https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=${apiKey}&client_secret=${secretKey}`);
|
|
||||||
// const { access_token } = await tokenResponse.json();
|
|
||||||
//
|
|
||||||
// // 读取图片并转为 base64
|
|
||||||
// const imageBuffer = fs.readFileSync(imagePath);
|
|
||||||
// const imageBase64 = imageBuffer.toString('base64');
|
|
||||||
//
|
|
||||||
// // 调用 OCR API
|
|
||||||
// const ocrResponse = await fetch(`https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic?access_token=${access_token}`, {
|
|
||||||
// method: 'POST',
|
|
||||||
// headers: { 'Content-Type': 'application/x-www-form-urlencoded' },
|
|
||||||
// body: `image=${encodeURIComponent(imageBase64)}`,
|
|
||||||
// });
|
|
||||||
//
|
|
||||||
// const result = await ocrResponse.json();
|
|
||||||
//
|
|
||||||
// return {
|
|
||||||
// text: result.words_result?.map((w: any) => w.words).join('\n') || '',
|
|
||||||
// confidence: (result.words_result?.[0]?.probability?.average || 0.5) / 100,
|
|
||||||
// };
|
|
||||||
|
|
||||||
throw new Error('OCR API not configured');
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
|
||||||
// 导出异步处理函数（用于在后台触发 OCR）
|
// 导出异步处理函数（用于在后台触发 OCR）
|
||||||
export const triggerOCRProcessing = async (imageId: string, userId: string) => {
|
export const triggerOCRProcessing = async (
|
||||||
|
imageId: string,
|
||||||
|
userId: string,
|
||||||
|
options?: OCRProcessOptions
|
||||||
|
) => {
|
||||||
// 不等待完成，在后台处理
|
// 不等待完成，在后台处理
|
||||||
OCRProcessorService.processImage(imageId, userId).catch(error => {
|
OCRProcessorService.processImage(imageId, userId, options).catch((error) => {
|
||||||
console.error('OCR processing failed:', error);
|
console.error('OCR processing failed:', error);
|
||||||
});
|
});
|
||||||
};
|
};
|
||||||
|
|||||||
@@ -0,0 +1,187 @@
|
|||||||
|
/**
|
||||||
|
* Baidu OCR Provider
|
||||||
|
* 特点：准确率高、速度快、国内访问快
|
||||||
|
* 缺点：需要付费 (有免费额度)、需要网络连接
|
||||||
|
* 官方文档: https://cloud.baidu.com/doc/OCR/index.html
|
||||||
|
*/
|
||||||
|
|
||||||
|
import { BaseOCRProvider, IImageSource, OCRRecognitionResult, OCRProviderConfig } from './base.provider';
|
||||||
|
import fs from 'fs';
|
||||||
|
|
||||||
|
interface BaiduOCRResponse {
|
||||||
|
words_result: Array<{
|
||||||
|
words: string;
|
||||||
|
probability?: {
|
||||||
|
average: number;
|
||||||
|
variance: number;
|
||||||
|
min: number;
|
||||||
|
};
|
||||||
|
}>;
|
||||||
|
error_code?: number;
|
||||||
|
error_msg?: string;
|
||||||
|
}
|
||||||
|
|
||||||
|
interface BaiduTokenResponse {
|
||||||
|
access_token: string;
|
||||||
|
expires_in: number;
|
||||||
|
}
|
||||||
|
|
||||||
|
export class BaiduProvider extends BaseOCRProvider {
|
||||||
|
private apiKey: string;
|
||||||
|
private secretKey: string;
|
||||||
|
private accessToken: string | null = null;
|
||||||
|
private tokenExpireTime: number = 0;
|
||||||
|
private apiUrl = 'https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic';
|
||||||
|
|
||||||
|
constructor(config: OCRProviderConfig & { apiKey?: string; secretKey?: string } = {}) {
|
||||||
|
super(config);
|
||||||
|
this.apiKey = config.apiKey || process.env.BAIDU_OCR_API_KEY || '';
|
||||||
|
this.secretKey = config.secretKey || process.env.BAIDU_OCR_SECRET_KEY || '';
|
||||||
|
}
|
||||||
|
|
||||||
|
getName(): string {
|
||||||
|
return 'Baidu OCR';
|
||||||
|
}
|
||||||
|
|
||||||
|
getType(): 'local' | 'cloud' {
|
||||||
|
return 'cloud';
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 检查配置是否完整
|
||||||
|
*/
|
||||||
|
async isAvailable(): Promise<boolean> {
|
||||||
|
return !!(this.apiKey && this.secretKey);
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 获取访问令牌
|
||||||
|
*/
|
||||||
|
private async getAccessToken(): Promise<string> {
|
||||||
|
// 检查缓存
|
||||||
|
if (this.accessToken && Date.now() < this.tokenExpireTime) {
|
||||||
|
return this.accessToken;
|
||||||
|
}
|
||||||
|
|
||||||
|
const url = `https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=${this.apiKey}&client_secret=${this.secretKey}`;
|
||||||
|
|
||||||
|
const response = await fetch(url);
|
||||||
|
const data = (await response.json()) as BaiduTokenResponse;
|
||||||
|
|
||||||
|
if (!data.access_token) {
|
||||||
|
throw new Error('获取百度 OCR access_token 失败');
|
||||||
|
}
|
||||||
|
|
||||||
|
this.accessToken = data.access_token;
|
||||||
|
this.tokenExpireTime = Date.now() + (data.expires_in - 300) * 1000; // 提前 5 分钟过期
|
||||||
|
|
||||||
|
return this.accessToken;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 执行 OCR 识别
|
||||||
|
*/
|
||||||
|
async recognize(
|
||||||
|
source: IImageSource,
|
||||||
|
options?: OCRProviderConfig
|
||||||
|
): Promise<OCRRecognitionResult> {
|
||||||
|
const startTime = Date.now();
|
||||||
|
|
||||||
|
// 检查配置
|
||||||
|
const available = await this.isAvailable();
|
||||||
|
if (!available) {
|
||||||
|
throw new Error('百度 OCR 未配置。请设置 BAIDU_OCR_API_KEY 和 BAIDU_OCR_SECRET_KEY 环境变量');
|
||||||
|
}
|
||||||
|
|
||||||
|
// 获取图片 Base64
|
||||||
|
const imageBase64 = await this.getImageBase64(source);
|
||||||
|
|
||||||
|
// 获取访问令牌
|
||||||
|
const token = await this.getAccessToken();
|
||||||
|
|
||||||
|
// 调用 OCR API
|
||||||
|
const response = await this.withTimeout(
|
||||||
|
fetch(`${this.apiUrl}?access_token=${token}`, {
|
||||||
|
method: 'POST',
|
||||||
|
headers: { 'Content-Type': 'application/x-www-form-urlencoded' },
|
||||||
|
body: `image=${encodeURIComponent(imageBase64)}`,
|
||||||
|
}),
|
||||||
|
options?.timeout || this.config.timeout || 10000
|
||||||
|
);
|
||||||
|
|
||||||
|
const data = (await response.json()) as BaiduOCRResponse;
|
||||||
|
const duration = Date.now() - startTime;
|
||||||
|
|
||||||
|
// 检查错误
|
||||||
|
if (data.error_code) {
|
||||||
|
throw new Error(`百度 OCR 错误: ${data.error_msg} (${data.error_code})`);
|
||||||
|
}
|
||||||
|
|
||||||
|
// 提取文本和置信度
|
||||||
|
const words = data.words_result || [];
|
||||||
|
const text = words.map((w) => w.words).join('\n');
|
||||||
|
|
||||||
|
// 计算平均置信度
|
||||||
|
let confidence = 0.9; // 默认置信度
|
||||||
|
if (words.length > 0 && words[0].probability) {
|
||||||
|
const sum = words.reduce((acc, w) => acc + (w.probability?.average || 0), 0);
|
||||||
|
confidence = (sum / words.length) / 100;
|
||||||
|
}
|
||||||
|
|
||||||
|
return {
|
||||||
|
text: text.trim(),
|
||||||
|
confidence,
|
||||||
|
duration,
|
||||||
|
extra: {
|
||||||
|
provider: 'baidu',
|
||||||
|
wordCount: words.length,
|
||||||
|
},
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
getRecommendations() {
|
||||||
|
return {
|
||||||
|
maxImageSize: 4 * 1024 * 1024, // 4MB 限制
|
||||||
|
supportedFormats: ['jpg', 'jpeg', 'png', 'bmp'],
|
||||||
|
notes: '百度 OCR 标准版 QPS 限制为 2，每日免费额度 1000 次。适合高精度需求场景。',
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 获取图片 Base64
|
||||||
|
*/
|
||||||
|
private async getImageBase64(source: IImageSource): Promise<string> {
|
||||||
|
if (source.base64) {
|
||||||
|
// 移除 data URL 前缀
|
||||||
|
return source.base64.replace(/^data:image\/\w+;base64,/, '');
|
||||||
|
}
|
||||||
|
|
||||||
|
if (source.buffer) {
|
||||||
|
return source.buffer.toString('base64');
|
||||||
|
}
|
||||||
|
|
||||||
|
if (source.path) {
|
||||||
|
// 使用基类的路径解析方法
|
||||||
|
const fullPath = this.resolveImagePath(source.path);
|
||||||
|
const buffer = fs.readFileSync(fullPath);
|
||||||
|
return buffer.toString('base64');
|
||||||
|
}
|
||||||
|
|
||||||
|
throw new Error('无效的图片来源');
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 超时包装
|
||||||
|
*/
|
||||||
|
private async withTimeout<T>(promise: Promise<T>, timeout: number): Promise<T> {
|
||||||
|
return Promise.race([
|
||||||
|
promise,
|
||||||
|
new Promise<never>((_, reject) =>
|
||||||
|
setTimeout(() => reject(new Error('timeout')), timeout)
|
||||||
|
),
|
||||||
|
]);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// 导出单例实例
|
||||||
|
export const baiduProvider = new BaiduProvider();
|
||||||
@@ -0,0 +1,127 @@
|
|||||||
|
/**
|
||||||
|
* OCR Provider Base Interface
|
||||||
|
* OCR 提供商基础接口
|
||||||
|
*/
|
||||||
|
|
||||||
|
import { resolveImagePath } from '../../lib/path';
|
||||||
|
|
||||||
|
export interface OCRRecognitionResult {
|
||||||
|
/** 识别的文本内容 */
|
||||||
|
text: string;
|
||||||
|
/** 置信度 (0-1) */
|
||||||
|
confidence: number;
|
||||||
|
/** 处理耗时 (毫秒) */
|
||||||
|
duration?: number;
|
||||||
|
/** 额外信息 */
|
||||||
|
extra?: Record<string, unknown>;
|
||||||
|
}
|
||||||
|
|
||||||
|
export interface OCRProviderConfig {
|
||||||
|
/** 超时时间 (毫秒) */
|
||||||
|
timeout?: number;
|
||||||
|
/** 语言代码 (chi_sim, eng 等) */
|
||||||
|
language?: string;
|
||||||
|
/** 额外配置 */
|
||||||
|
extras?: Record<string, unknown>;
|
||||||
|
}
|
||||||
|
|
||||||
|
export interface IImageSource {
|
||||||
|
/** 图片本地路径 */
|
||||||
|
path?: string;
|
||||||
|
/** 图片 Buffer */
|
||||||
|
buffer?: Buffer;
|
||||||
|
/** 图片 Base64 */
|
||||||
|
base64?: string;
|
||||||
|
/** 图片 URL */
|
||||||
|
url?: string;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* OCR Provider 抽象基类
|
||||||
|
* 所有 OCR 提供商都需要实现此接口
|
||||||
|
*/
|
||||||
|
export abstract class BaseOCRProvider {
|
||||||
|
protected config: OCRProviderConfig;
|
||||||
|
|
||||||
|
constructor(config: OCRProviderConfig = {}) {
|
||||||
|
this.config = {
|
||||||
|
timeout: 30000,
|
||||||
|
language: 'chi_sim+eng',
|
||||||
|
...config,
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Provider 名称
|
||||||
|
*/
|
||||||
|
abstract getName(): string;
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Provider 类型 (local | cloud)
|
||||||
|
*/
|
||||||
|
abstract getType(): 'local' | 'cloud';
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 检查 Provider 是否可用
|
||||||
|
*/
|
||||||
|
abstract isAvailable(): Promise<boolean> | boolean;
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 执行 OCR 识别
|
||||||
|
* @param source 图片来源 (路径/Buffer/Base64/URL)
|
||||||
|
* @param options 可选配置
|
||||||
|
*/
|
||||||
|
abstract recognize(
|
||||||
|
source: IImageSource,
|
||||||
|
options?: OCRProviderConfig
|
||||||
|
): Promise<OCRRecognitionResult>;
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 批量识别
|
||||||
|
*/
|
||||||
|
async batchRecognize(
|
||||||
|
sources: IImageSource[],
|
||||||
|
options?: OCRProviderConfig
|
||||||
|
): Promise<OCRRecognitionResult[]> {
|
||||||
|
const results: OCRRecognitionResult[] = [];
|
||||||
|
|
||||||
|
for (const source of sources) {
|
||||||
|
try {
|
||||||
|
const result = await this.recognize(source, options);
|
||||||
|
results.push(result);
|
||||||
|
} catch (error) {
|
||||||
|
results.push({
|
||||||
|
text: '',
|
||||||
|
confidence: 0,
|
||||||
|
duration: 0,
|
||||||
|
extra: { error: error instanceof Error ? error.message : String(error) },
|
||||||
|
});
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
return results;
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 获取推荐配置
|
||||||
|
*/
|
||||||
|
getRecommendations(): {
|
||||||
|
maxImageSize?: number;
|
||||||
|
supportedFormats?: string[];
|
||||||
|
notes?: string;
|
||||||
|
} {
|
||||||
|
return {
|
||||||
|
maxImageSize: 10 * 1024 * 1024, // 10MB
|
||||||
|
supportedFormats: ['jpg', 'jpeg', 'png', 'webp', 'bmp', 'gif'],
|
||||||
|
notes: '建议图片分辨率不低于 300dpi',
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 解析图片路径
|
||||||
|
* 将数据库路径转换为绝对路径
|
||||||
|
*/
|
||||||
|
protected resolveImagePath(imagePath: string): string {
|
||||||
|
return resolveImagePath(imagePath);
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,100 @@
|
|||||||
|
/**
|
||||||
|
* OCR Providers Module
|
||||||
|
* 导出所有 OCR 提供商
|
||||||
|
*/
|
||||||
|
|
||||||
|
export { BaseOCRProvider, IImageSource, OCRRecognitionResult, OCRProviderConfig } from './base.provider';
|
||||||
|
export { TesseractProvider, tesseractProvider } from './tesseract.provider';
|
||||||
|
export { BaiduProvider, baiduProvider } from './baidu.provider';
|
||||||
|
export { RapidOCRProvider, rapidocrProvider } from './rapidocr.provider';
|
||||||
|
|
||||||
|
import { TesseractProvider, BaiduProvider, RapidOCRProvider } from './index';
|
||||||
|
|
||||||
|
/**
|
||||||
|
* OCR Provider 类型
|
||||||
|
*/
|
||||||
|
export type OCRProviderType = 'tesseract' | 'baidu' | 'rapidocr' | 'auto';
|
||||||
|
|
||||||
|
/**
|
||||||
|
* OCR Provider 工厂
|
||||||
|
* 根据 provider 类型返回对应的实例
|
||||||
|
*/
|
||||||
|
export class OCRProviderFactory {
|
||||||
|
private static providers = {
|
||||||
|
tesseract: TesseractProvider,
|
||||||
|
baidu: BaiduProvider,
|
||||||
|
rapidocr: RapidOCRProvider,
|
||||||
|
};
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 创建 Provider 实例
|
||||||
|
*/
|
||||||
|
static create(
|
||||||
|
type: OCRProviderType,
|
||||||
|
config?: any
|
||||||
|
): TesseractProvider | BaiduProvider | RapidOCRProvider {
|
||||||
|
if (type === 'auto') {
|
||||||
|
// 自动选择可用的 provider
|
||||||
|
return this.autoSelect();
|
||||||
|
}
|
||||||
|
|
||||||
|
const ProviderClass = this.providers[type];
|
||||||
|
if (!ProviderClass) {
|
||||||
|
throw new Error(`未知的 OCR provider: ${type}`);
|
||||||
|
}
|
||||||
|
|
||||||
|
return new ProviderClass(config);
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 自动选择可用的 provider
|
||||||
|
* 优先级: RapidOCR > Tesseract > Baidu
|
||||||
|
*/
|
||||||
|
private static autoSelect(): TesseractProvider | BaiduProvider | RapidOCRProvider {
|
||||||
|
const envProvider = process.env.OCR_PROVIDER as OCRProviderType;
|
||||||
|
|
||||||
|
// 如果指定了 provider 且不是 auto，使用指定的
|
||||||
|
if (envProvider && envProvider !== 'auto' && this.providers[envProvider]) {
|
||||||
|
const ProviderClass = this.providers[envProvider];
|
||||||
|
return new ProviderClass();
|
||||||
|
}
|
||||||
|
|
||||||
|
// 检查可用性并选择
|
||||||
|
// RapidOCR (本地快速)
|
||||||
|
if (process.env.RAPIDOCR_API_URL) {
|
||||||
|
return new RapidOCRProvider();
|
||||||
|
}
|
||||||
|
|
||||||
|
// Baidu OCR (云端准确)
|
||||||
|
if (process.env.BAIDU_OCR_API_KEY && process.env.BAIDU_OCR_SECRET_KEY) {
|
||||||
|
return new BaiduProvider();
|
||||||
|
}
|
||||||
|
|
||||||
|
// Tesseract.js (本地兜底)
|
||||||
|
return new TesseractProvider();
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 获取所有可用的 providers
|
||||||
|
*/
|
||||||
|
static async getAvailableProviders(): Promise<
|
||||||
|
Array<{ type: string; name: string; available: boolean; typeDesc: string }>
|
||||||
|
> {
|
||||||
|
const providers = [
|
||||||
|
{ type: 'rapidocr', name: 'RapidOCR', instance: new RapidOCRProvider(), typeDesc: '本地快速准确' },
|
||||||
|
{ type: 'baidu', name: 'Baidu OCR', instance: new BaiduProvider(), typeDesc: '云端准确' },
|
||||||
|
{ type: 'tesseract', name: 'Tesseract.js', instance: new TesseractProvider(), typeDesc: '本地轻量' },
|
||||||
|
];
|
||||||
|
|
||||||
|
const results = await Promise.all(
|
||||||
|
providers.map(async (p) => ({
|
||||||
|
type: p.type,
|
||||||
|
name: p.name,
|
||||||
|
available: await p.instance.isAvailable(),
|
||||||
|
typeDesc: p.typeDesc,
|
||||||
|
}))
|
||||||
|
);
|
||||||
|
|
||||||
|
return results;
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -0,0 +1,167 @@
|
|||||||
|
/**
|
||||||
|
* RapidOCR Provider
|
||||||
|
* 特点：速度快、准确率高、免费、本地运行
|
||||||
|
* 基于 PaddleOCR，中文识别效果优秀
|
||||||
|
*
|
||||||
|
* 部署方式：
|
||||||
|
* 1. 安装 Python 服务: pip install rapidocr-onnxruntime
|
||||||
|
* 2. 启动服务 (参考 rapidocr_server 项目)
|
||||||
|
* 3. 或使用 Docker: docker run -p 8080:8080 cshgg/rapidocr
|
||||||
|
*
|
||||||
|
* GitHub: https://github.com/RapidAI/RapidOCR
|
||||||
|
*/
|
||||||
|
|
||||||
|
import { BaseOCRProvider, IImageSource, OCRRecognitionResult, OCRProviderConfig } from './base.provider';
|
||||||
|
import fs from 'fs';
|
||||||
|
|
||||||
|
interface RapidOCRResponse {
|
||||||
|
code: number;
|
||||||
|
msg: string;
|
||||||
|
data: Array<{
|
||||||
|
text: string;
|
||||||
|
score: number;
|
||||||
|
box: number[][];
|
||||||
|
}>;
|
||||||
|
}
|
||||||
|
|
||||||
|
interface RapidOCRRequest {
|
||||||
|
images: string[];
|
||||||
|
options?: {
|
||||||
|
use_dilation?: boolean;
|
||||||
|
use_cls?: boolean;
|
||||||
|
use_tensorrt?: boolean;
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
export class RapidOCRProvider extends BaseOCRProvider {
|
||||||
|
private apiUrl: string;
|
||||||
|
|
||||||
|
constructor(config: OCRProviderConfig & { apiUrl?: string } = {}) {
|
||||||
|
super(config);
|
||||||
|
this.apiUrl = config.apiUrl || process.env.RAPIDOCR_API_URL || 'http://localhost:8080';
|
||||||
|
}
|
||||||
|
|
||||||
|
getName(): string {
|
||||||
|
return 'RapidOCR';
|
||||||
|
}
|
||||||
|
|
||||||
|
getType(): 'local' | 'cloud' {
|
||||||
|
return 'local';
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 检查 RapidOCR 服务是否可用
|
||||||
|
*/
|
||||||
|
async isAvailable(): Promise<boolean> {
|
||||||
|
try {
|
||||||
|
const response = await fetch(`${this.apiUrl}/health`, {
|
||||||
|
signal: AbortSignal.timeout(2000),
|
||||||
|
});
|
||||||
|
return response.ok;
|
||||||
|
} catch {
|
||||||
|
return false;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 执行 OCR 识别
|
||||||
|
*/
|
||||||
|
async recognize(
|
||||||
|
source: IImageSource,
|
||||||
|
options?: OCRProviderConfig
|
||||||
|
): Promise<OCRRecognitionResult> {
|
||||||
|
const startTime = Date.now();
|
||||||
|
|
||||||
|
// 获取图片 Base64
|
||||||
|
const imageBase64 = await this.getImageBase64(source);
|
||||||
|
|
||||||
|
// 调用 RapidOCR API
|
||||||
|
const response = await this.withTimeout(
|
||||||
|
fetch(`${this.apiUrl}/ocr`, {
|
||||||
|
method: 'POST',
|
||||||
|
headers: { 'Content-Type': 'application/json' },
|
||||||
|
body: JSON.stringify({
|
||||||
|
images: [imageBase64],
|
||||||
|
options: {
|
||||||
|
use_dilation: true, // 使用膨胀增强识别
|
||||||
|
use_cls: true, // 使用文字方向分类
|
||||||
|
},
|
||||||
|
} as RapidOCRRequest),
|
||||||
|
}),
|
||||||
|
options?.timeout || this.config.timeout || 15000
|
||||||
|
);
|
||||||
|
|
||||||
|
const data = (await response.json()) as RapidOCRResponse;
|
||||||
|
const duration = Date.now() - startTime;
|
||||||
|
|
||||||
|
// 检查错误（支持两种错误格式）
|
||||||
|
if (data.code !== 200 && 'error' in data) {
|
||||||
|
throw new Error(`RapidOCR 错误: ${(data as any).error || data.msg} (${data.code})`);
|
||||||
|
}
|
||||||
|
|
||||||
|
// 提取文本和置信度（确保 data.data 存在）
|
||||||
|
const ocrResults = Array.isArray(data.data) ? data.data : [];
|
||||||
|
const text = ocrResults.map((r) => r.text).join('\n');
|
||||||
|
|
||||||
|
// 计算平均置信度
|
||||||
|
const confidence = ocrResults.length > 0
|
||||||
|
? ocrResults.reduce((acc, r) => acc + (r.score || 0), 0) / ocrResults.length
|
||||||
|
: 0;
|
||||||
|
|
||||||
|
return {
|
||||||
|
text: text.trim(),
|
||||||
|
confidence,
|
||||||
|
duration,
|
||||||
|
extra: {
|
||||||
|
provider: 'rapidocr',
|
||||||
|
textCount: ocrResults.length,
|
||||||
|
},
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
getRecommendations() {
|
||||||
|
return {
|
||||||
|
maxImageSize: 10 * 1024 * 1024,
|
||||||
|
supportedFormats: ['jpg', 'jpeg', 'png', 'webp', 'bmp'],
|
||||||
|
notes: 'RapidOCR 是基于 PaddleOCR 的本地服务，速度快且准确率高。需要先启动 RapidOCR 服务。',
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 获取图片 Base64
|
||||||
|
*/
|
||||||
|
private async getImageBase64(source: IImageSource): Promise<string> {
|
||||||
|
if (source.base64) {
|
||||||
|
// 移除 data URL 前缀
|
||||||
|
return source.base64.replace(/^data:image\/\w+;base64,/, '');
|
||||||
|
}
|
||||||
|
|
||||||
|
if (source.buffer) {
|
||||||
|
return source.buffer.toString('base64');
|
||||||
|
}
|
||||||
|
|
||||||
|
if (source.path) {
|
||||||
|
// 使用基类的路径解析方法
|
||||||
|
const fullPath = this.resolveImagePath(source.path);
|
||||||
|
const buffer = fs.readFileSync(fullPath);
|
||||||
|
return buffer.toString('base64');
|
||||||
|
}
|
||||||
|
|
||||||
|
throw new Error('无效的图片来源');
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 超时包装
|
||||||
|
*/
|
||||||
|
private async withTimeout<T>(promise: Promise<T>, timeout: number): Promise<T> {
|
||||||
|
return Promise.race([
|
||||||
|
promise,
|
||||||
|
new Promise<never>((_, reject) =>
|
||||||
|
setTimeout(() => reject(new Error('timeout')), timeout)
|
||||||
|
),
|
||||||
|
]);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// 导出单例实例
|
||||||
|
export const rapidocrProvider = new RapidOCRProvider();
|
||||||
@@ -0,0 +1,166 @@
|
|||||||
|
/**
|
||||||
|
* Tesseract.js OCR Provider
|
||||||
|
* 特点：免费、本地运行、支持多语言
|
||||||
|
* 缺点：速度较慢、准确率中等
|
||||||
|
*/
|
||||||
|
|
||||||
|
import { BaseOCRProvider, IImageSource, OCRRecognitionResult, OCRProviderConfig } from './base.provider';
|
||||||
|
import fs from 'fs';
|
||||||
|
|
||||||
|
interface TesseractModule {
|
||||||
|
recognize: (
|
||||||
|
image: string | Buffer,
|
||||||
|
lang: string,
|
||||||
|
options?: { logger?: (m: any) => void }
|
||||||
|
) => Promise<{ data: { text: string; confidence: number } }>;
|
||||||
|
}
|
||||||
|
|
||||||
|
export class TesseractProvider extends BaseOCRProvider {
|
||||||
|
private tesseract: TesseractModule | null = null;
|
||||||
|
private initialized = false;
|
||||||
|
|
||||||
|
constructor(config: OCRProviderConfig = {}) {
|
||||||
|
super(config);
|
||||||
|
}
|
||||||
|
|
||||||
|
getName(): string {
|
||||||
|
return 'Tesseract.js';
|
||||||
|
}
|
||||||
|
|
||||||
|
getType(): 'local' | 'cloud' {
|
||||||
|
return 'local';
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 检查 Tesseract.js 是否已安装
|
||||||
|
*/
|
||||||
|
async isAvailable(): Promise<boolean> {
|
||||||
|
if (this.initialized) {
|
||||||
|
return this.tesseract !== null;
|
||||||
|
}
|
||||||
|
|
||||||
|
try {
|
||||||
|
const module = await import('tesseract.js');
|
||||||
|
// tesseract.js 是默认导出，需要使用 .default
|
||||||
|
this.tesseract = (module as any).default || module;
|
||||||
|
this.initialized = true;
|
||||||
|
return true;
|
||||||
|
} catch {
|
||||||
|
this.initialized = true;
|
||||||
|
return false;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 执行 OCR 识别
|
||||||
|
*/
|
||||||
|
async recognize(
|
||||||
|
source: IImageSource,
|
||||||
|
options?: OCRProviderConfig
|
||||||
|
): Promise<OCRRecognitionResult> {
|
||||||
|
const startTime = Date.now();
|
||||||
|
|
||||||
|
// 确定语言
|
||||||
|
const language = options?.language || this.config.language || 'chi_sim+eng';
|
||||||
|
|
||||||
|
// 获取图片数据
|
||||||
|
const imageData = await this.getImageData(source);
|
||||||
|
|
||||||
|
// 动态导入 tesseract.js
|
||||||
|
try {
|
||||||
|
const tesseractModule = await import('tesseract.js');
|
||||||
|
const Tesseract = (tesseractModule as any).default || tesseractModule;
|
||||||
|
|
||||||
|
const result = await this.withTimeout(
|
||||||
|
Tesseract.recognize(imageData, language, {
|
||||||
|
logger: (m: any) => {
|
||||||
|
if (m.status === 'recognizing text') {
|
||||||
|
// 可选：记录进度
|
||||||
|
// console.log(`Tesseract progress: ${(m.progress * 100).toFixed(0)}%`);
|
||||||
|
}
|
||||||
|
},
|
||||||
|
}),
|
||||||
|
options?.timeout || this.config.timeout || 30000
|
||||||
|
) as { data: { text: string; confidence: number } };
|
||||||
|
|
||||||
|
const duration = Date.now() - startTime;
|
||||||
|
|
||||||
|
return {
|
||||||
|
text: this.cleanText(result.data.text),
|
||||||
|
confidence: result.data.confidence / 100, // Tesseract 返回 0-100
|
||||||
|
duration,
|
||||||
|
extra: {
|
||||||
|
provider: 'tesseract.js',
|
||||||
|
language,
|
||||||
|
},
|
||||||
|
};
|
||||||
|
} catch (error) {
|
||||||
|
if (error instanceof Error && error.message === 'timeout') {
|
||||||
|
throw new Error('OCR 识别超时');
|
||||||
|
}
|
||||||
|
throw error;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
getRecommendations() {
|
||||||
|
return {
|
||||||
|
...super.getRecommendations(),
|
||||||
|
notes: '首次运行会下载语言包 (约 20MB)，后续运行会更快。适合少量图片处理。',
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 获取图片数据 (路径或 Buffer)
|
||||||
|
*/
|
||||||
|
private async getImageData(source: IImageSource): Promise<string | Buffer> {
|
||||||
|
if (source.buffer) {
|
||||||
|
return source.buffer;
|
||||||
|
}
|
||||||
|
|
||||||
|
if (source.path) {
|
||||||
|
// 使用基类的路径解析方法
|
||||||
|
const fullPath = this.resolveImagePath(source.path);
|
||||||
|
|
||||||
|
if (!fs.existsSync(fullPath)) {
|
||||||
|
throw new Error(`图片文件不存在: ${fullPath}`);
|
||||||
|
}
|
||||||
|
|
||||||
|
return fullPath;
|
||||||
|
}
|
||||||
|
|
||||||
|
if (source.base64) {
|
||||||
|
// Tesseract.js 支持 Base64，需要添加 data URL 前缀
|
||||||
|
const base64Data = source.base64.startsWith('data:')
|
||||||
|
? source.base64
|
||||||
|
: `data:image/png;base64,${source.base64}`;
|
||||||
|
return base64Data;
|
||||||
|
}
|
||||||
|
|
||||||
|
throw new Error('无效的图片来源');
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 超时包装
|
||||||
|
*/
|
||||||
|
private async withTimeout<T>(promise: Promise<T>, timeout: number): Promise<T> {
|
||||||
|
return Promise.race([
|
||||||
|
promise,
|
||||||
|
new Promise<never>((_, reject) =>
|
||||||
|
setTimeout(() => reject(new Error('timeout')), timeout)
|
||||||
|
),
|
||||||
|
]);
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 清理识别结果文本
|
||||||
|
*/
|
||||||
|
private cleanText(text: string): string {
|
||||||
|
return text
|
||||||
|
.replace(/\s+/g, ' ') // 多个空格合并为一个
|
||||||
|
.replace(/\n\s*\n/g, '\n\n') // 多个空行合并
|
||||||
|
.trim();
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// 导出单例实例
|
||||||
|
export const tesseractProvider = new TesseractProvider();
|
||||||
Vendored
+15
@@ -0,0 +1,15 @@
|
|||||||
|
// Type declarations for optional tesseract.js dependency
|
||||||
|
declare module 'tesseract.js' {
|
||||||
|
export interface TesseractResult {
|
||||||
|
data: {
|
||||||
|
text: string;
|
||||||
|
confidence: number;
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
export function recognize(
|
||||||
|
image: string | Buffer,
|
||||||
|
lang: string,
|
||||||
|
options?: { logger?: (m: any) => void }
|
||||||
|
): Promise<TesseractResult>;
|
||||||
|
}
|
||||||
@@ -1,7 +1,7 @@
|
|||||||
{
|
{
|
||||||
"compilerOptions": {
|
"compilerOptions": {
|
||||||
"target": "ES2022",
|
"target": "ES2022",
|
||||||
"module": "commonjs",
|
"module": "es2020",
|
||||||
"lib": ["ES2022"],
|
"lib": ["ES2022"],
|
||||||
"outDir": "./dist",
|
"outDir": "./dist",
|
||||||
"rootDir": "./src",
|
"rootDir": "./src",
|
||||||
|
|||||||
@@ -81,3 +81,23 @@ export function useDeleteImage() {
|
|||||||
},
|
},
|
||||||
});
|
});
|
||||||
}
|
}
|
||||||
|
|
||||||
|
export function useReprocessImage() {
|
||||||
|
const queryClient = useQueryClient();
|
||||||
|
|
||||||
|
return useMutation({
|
||||||
|
mutationFn: ({ id, provider }: { id: string; provider?: string }) =>
|
||||||
|
ImageService.reprocess(id, provider),
|
||||||
|
onSuccess: () => {
|
||||||
|
queryClient.invalidateQueries({ queryKey: ['images'] });
|
||||||
|
},
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
export function useOCRProviders() {
|
||||||
|
return useQuery({
|
||||||
|
queryKey: ['ocr-providers'],
|
||||||
|
queryFn: () => ImageService.getOCRProviders(),
|
||||||
|
staleTime: 5 * 60 * 1000, // 5 分钟内不重新获取
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|||||||
@@ -1,8 +1,14 @@
|
|||||||
import { useState, useRef, useEffect } from 'react';
|
import { useState, useRef, useEffect } from 'react';
|
||||||
import { useImages, usePendingImages, useUploadImageFile } from '@/hooks/useImages';
|
import {
|
||||||
|
useImages,
|
||||||
|
usePendingImages,
|
||||||
|
useUploadImageFile,
|
||||||
|
useReprocessImage,
|
||||||
|
useOCRProviders,
|
||||||
|
} from '@/hooks/useImages';
|
||||||
import { Button } from '@/components/Button';
|
import { Button } from '@/components/Button';
|
||||||
import { Card } from '@/components/Card';
|
import { Card } from '@/components/Card';
|
||||||
import { Upload, Camera, FileText, CheckSquare, X, RefreshCw } from 'lucide-react';
|
import { Upload, Camera, FileText, CheckSquare, X, RefreshCw, ChevronDown, Settings } from 'lucide-react';
|
||||||
import type { Image } from '@/types';
|
import type { Image } from '@/types';
|
||||||
import { useDeleteImage } from '@/hooks/useImages';
|
import { useDeleteImage } from '@/hooks/useImages';
|
||||||
|
|
||||||
@@ -16,18 +22,39 @@ const getImageUrl = (path: string) => {
|
|||||||
return `${API_BASE_URL}${path}`;
|
return `${API_BASE_URL}${path}`;
|
||||||
};
|
};
|
||||||
|
|
||||||
|
// OCR Provider 显示名称映射
|
||||||
|
const PROVIDER_NAMES: Record<string, string> = {
|
||||||
|
tesseract: 'Tesseract.js',
|
||||||
|
baidu: '百度 OCR',
|
||||||
|
rapidocr: 'RapidOCR',
|
||||||
|
auto: '自动选择',
|
||||||
|
};
|
||||||
|
|
||||||
|
// OCR Provider 描述
|
||||||
|
const PROVIDER_DESCRIPTIONS: Record<string, string> = {
|
||||||
|
tesseract: '本地轻量，免费',
|
||||||
|
baidu: '云端准确，有免费额度',
|
||||||
|
rapidocr: '本地快速准确，推荐',
|
||||||
|
auto: '自动选择可用的服务',
|
||||||
|
};
|
||||||
|
|
||||||
export default function ImagesPage() {
|
export default function ImagesPage() {
|
||||||
const { data: images, refetch } = useImages();
|
const { data: images, refetch } = useImages();
|
||||||
const { data: pendingImages } = usePendingImages();
|
const { data: pendingImages } = usePendingImages();
|
||||||
|
const { data: providers } = useOCRProviders();
|
||||||
const uploadMutation = useUploadImageFile();
|
const uploadMutation = useUploadImageFile();
|
||||||
const deleteMutation = useDeleteImage();
|
const deleteMutation = useDeleteImage();
|
||||||
|
const reprocessMutation = useReprocessImage();
|
||||||
const fileInputRef = useRef<HTMLInputElement>(null);
|
const fileInputRef = useRef<HTMLInputElement>(null);
|
||||||
|
|
||||||
|
// Provider 选择状态
|
||||||
|
const [showProviderMenu, setShowProviderMenu] = useState<string | null>(null);
|
||||||
|
|
||||||
// OCR 处理状态轮询
|
// OCR 处理状态轮询
|
||||||
useEffect(() => {
|
useEffect(() => {
|
||||||
// 检查是否有处理中的图片
|
// 检查是否有处理中的图片
|
||||||
const hasPendingImages = images?.some(img =>
|
const hasPendingImages = images?.some(
|
||||||
img.processing_status === 'pending' || img.processing_status === 'processing'
|
(img) => img.processing_status === 'pending' || img.processing_status === 'processing'
|
||||||
);
|
);
|
||||||
|
|
||||||
if (hasPendingImages) {
|
if (hasPendingImages) {
|
||||||
@@ -39,12 +66,19 @@ export default function ImagesPage() {
|
|||||||
}
|
}
|
||||||
}, [images, refetch]);
|
}, [images, refetch]);
|
||||||
|
|
||||||
|
// 点击外部关闭菜单
|
||||||
|
useEffect(() => {
|
||||||
|
const handleClickOutside = () => setShowProviderMenu(null);
|
||||||
|
document.addEventListener('click', handleClickOutside);
|
||||||
|
return () => document.removeEventListener('click', handleClickOutside);
|
||||||
|
}, []);
|
||||||
|
|
||||||
const handleFileSelect = async (e: React.ChangeEvent<HTMLInputElement>) => {
|
const handleFileSelect = async (e: React.ChangeEvent<HTMLInputElement>) => {
|
||||||
const files = e.target.files;
|
const files = e.target.files;
|
||||||
if (!files || files.length === 0) return;
|
if (!files || files.length === 0) return;
|
||||||
|
|
||||||
// 验证并上传所有文件
|
// 验证并上传所有文件
|
||||||
const validFiles = Array.from(files).filter(file => {
|
const validFiles = Array.from(files).filter((file) => {
|
||||||
if (!file.type.startsWith('image/')) {
|
if (!file.type.startsWith('image/')) {
|
||||||
alert(`文件 "${file.name}" 不是图片文件`);
|
alert(`文件 "${file.name}" 不是图片文件`);
|
||||||
return false;
|
return false;
|
||||||
@@ -123,30 +157,126 @@ export default function ImagesPage() {
|
|||||||
}
|
}
|
||||||
};
|
};
|
||||||
|
|
||||||
|
const handleReprocess = async (id: string, provider?: string, e?: React.MouseEvent) => {
|
||||||
|
e?.stopPropagation();
|
||||||
|
try {
|
||||||
|
await reprocessMutation.mutateAsync({ id, provider });
|
||||||
|
setShowProviderMenu(null);
|
||||||
|
} catch (err: any) {
|
||||||
|
alert(err.message || '重新处理失败');
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
const getStatusLabel = (status: string) => {
|
const getStatusLabel = (status: string) => {
|
||||||
switch (status) {
|
switch (status) {
|
||||||
case 'completed': return '已完成';
|
case 'completed':
|
||||||
case 'pending': return '等待处理';
|
return '已完成';
|
||||||
case 'processing': return 'OCR 处理中';
|
case 'pending':
|
||||||
case 'failed': return '处理失败';
|
return '等待处理';
|
||||||
default: return status;
|
case 'processing':
|
||||||
|
return 'OCR 处理中';
|
||||||
|
case 'failed':
|
||||||
|
return '处理失败';
|
||||||
|
default:
|
||||||
|
return status;
|
||||||
}
|
}
|
||||||
};
|
};
|
||||||
|
|
||||||
const getStatusColor = (status: string) => {
|
const getStatusColor = (status: string) => {
|
||||||
switch (status) {
|
switch (status) {
|
||||||
case 'completed': return 'bg-green-100 text-green-800';
|
case 'completed':
|
||||||
case 'pending': return 'bg-yellow-100 text-yellow-800';
|
return 'bg-green-100 text-green-800';
|
||||||
case 'processing': return 'bg-blue-100 text-blue-800';
|
case 'pending':
|
||||||
case 'failed': return 'bg-red-100 text-red-800';
|
return 'bg-yellow-100 text-yellow-800';
|
||||||
default: return 'bg-gray-100 text-gray-800';
|
case 'processing':
|
||||||
|
return 'bg-blue-100 text-blue-800';
|
||||||
|
case 'failed':
|
||||||
|
return 'bg-red-100 text-red-800';
|
||||||
|
default:
|
||||||
|
return 'bg-gray-100 text-gray-800';
|
||||||
}
|
}
|
||||||
};
|
};
|
||||||
|
|
||||||
const hasProcessingImages = images?.some(img =>
|
// 获取可用的 provider 列表
|
||||||
img.processing_status === 'pending' || img.processing_status === 'processing'
|
const availableProviders = providers?.filter((p) => p.available) || [];
|
||||||
|
const hasProviders = availableProviders.length > 0;
|
||||||
|
|
||||||
|
const hasProcessingImages = images?.some(
|
||||||
|
(img) => img.processing_status === 'pending' || img.processing_status === 'processing'
|
||||||
);
|
);
|
||||||
|
|
||||||
|
// OCR 重新处理按钮组件
|
||||||
|
const ReprocessButton = ({ image }: { image: Image }) => {
|
||||||
|
const isProcessing = image.processing_status === 'processing';
|
||||||
|
const canReprocess = image.processing_status === 'completed' || image.processing_status === 'failed';
|
||||||
|
|
||||||
|
if (!canReprocess) return null;
|
||||||
|
|
||||||
|
return (
|
||||||
|
<div className="relative">
|
||||||
|
<button
|
||||||
|
onClick={(e) => {
|
||||||
|
e.stopPropagation();
|
||||||
|
if (showProviderMenu === image.id) {
|
||||||
|
setShowProviderMenu(null);
|
||||||
|
} else {
|
||||||
|
setShowProviderMenu(image.id);
|
||||||
|
}
|
||||||
|
}}
|
||||||
|
disabled={reprocessMutation.isPending}
|
||||||
|
className="flex items-center gap-1 rounded border border-orange-300 px-2 py-1 text-xs text-orange-600 hover:bg-orange-50 disabled:opacity-50"
|
||||||
|
>
|
||||||
|
<RefreshCw className="h-3 w-3" />
|
||||||
|
重新识别
|
||||||
|
{hasProviders && <ChevronDown className="h-3 w-3" />}
|
||||||
|
</button>
|
||||||
|
|
||||||
|
{/* Provider 选择菜单 */}
|
||||||
|
{hasProviders && showProviderMenu === image.id && (
|
||||||
|
<div
|
||||||
|
className="absolute bottom-full left-0 mb-1 z-20 min-w-[200px] rounded-lg border border-gray-200 bg-white shadow-lg"
|
||||||
|
onClick={(e) => e.stopPropagation()}
|
||||||
|
>
|
||||||
|
<div className="p-2 border-b border-gray-100">
|
||||||
|
<p className="text-xs font-medium text-gray-700">选择 OCR 引擎</p>
|
||||||
|
</div>
|
||||||
|
<div className="p-1">
|
||||||
|
{/* 自动选择 */}
|
||||||
|
<button
|
||||||
|
onClick={(e) => handleReprocess(image.id, 'auto', e)}
|
||||||
|
className="w-full text-left px-3 py-2 text-sm hover:bg-gray-50 rounded flex items-center justify-between group"
|
||||||
|
>
|
||||||
|
<div>
|
||||||
|
<div className="font-medium text-gray-800">自动选择</div>
|
||||||
|
<div className="text-xs text-gray-500">系统自动选择可用的服务</div>
|
||||||
|
</div>
|
||||||
|
{reprocessMutation.isPending && (
|
||||||
|
<RefreshCw className="h-4 w-4 animate-spin text-gray-400" />
|
||||||
|
)}
|
||||||
|
</button>
|
||||||
|
{/* 可用的 providers */}
|
||||||
|
{availableProviders.map((provider) => (
|
||||||
|
<button
|
||||||
|
key={provider.type}
|
||||||
|
onClick={(e) => handleReprocess(image.id, provider.type, e)}
|
||||||
|
className="w-full text-left px-3 py-2 text-sm hover:bg-gray-50 rounded flex items-center justify-between group"
|
||||||
|
>
|
||||||
|
<div>
|
||||||
|
<div className="font-medium text-gray-800">{provider.name}</div>
|
||||||
|
<div className="text-xs text-gray-500">{provider.typeDesc}</div>
|
||||||
|
</div>
|
||||||
|
{reprocessMutation.isPending && (
|
||||||
|
<RefreshCw className="h-4 w-4 animate-spin text-gray-400" />
|
||||||
|
)}
|
||||||
|
</button>
|
||||||
|
))}
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
)}
|
||||||
|
</div>
|
||||||
|
);
|
||||||
|
};
|
||||||
|
|
||||||
return (
|
return (
|
||||||
<div className="space-y-6">
|
<div className="space-y-6">
|
||||||
<div className="flex items-center justify-between">
|
<div className="flex items-center justify-between">
|
||||||
@@ -154,6 +284,15 @@ export default function ImagesPage() {
|
|||||||
<h1 className="text-2xl font-bold text-gray-900">图片管理</h1>
|
<h1 className="text-2xl font-bold text-gray-900">图片管理</h1>
|
||||||
<p className="mt-1 text-sm text-gray-600">上传和管理您的图片</p>
|
<p className="mt-1 text-sm text-gray-600">上传和管理您的图片</p>
|
||||||
</div>
|
</div>
|
||||||
|
<div className="flex items-center gap-4">
|
||||||
|
{hasProviders && (
|
||||||
|
<div className="flex items-center gap-2 text-xs text-gray-500">
|
||||||
|
<Settings className="h-4 w-4" />
|
||||||
|
<span>
|
||||||
|
可用 OCR: {availableProviders.map((p) => p.name).join(', ')}
|
||||||
|
</span>
|
||||||
|
</div>
|
||||||
|
)}
|
||||||
{hasProcessingImages && (
|
{hasProcessingImages && (
|
||||||
<div className="flex items-center gap-2 text-sm text-blue-600">
|
<div className="flex items-center gap-2 text-sm text-blue-600">
|
||||||
<RefreshCw className="h-4 w-4 animate-spin" />
|
<RefreshCw className="h-4 w-4 animate-spin" />
|
||||||
@@ -161,6 +300,7 @@ export default function ImagesPage() {
|
|||||||
</div>
|
</div>
|
||||||
)}
|
)}
|
||||||
</div>
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
{/* Upload Actions */}
|
{/* Upload Actions */}
|
||||||
<div className="grid gap-4 md:grid-cols-2">
|
<div className="grid gap-4 md:grid-cols-2">
|
||||||
@@ -199,7 +339,11 @@ export default function ImagesPage() {
|
|||||||
</div>
|
</div>
|
||||||
<h3 className="mb-2 text-lg font-semibold">屏幕截图</h3>
|
<h3 className="mb-2 text-lg font-semibold">屏幕截图</h3>
|
||||||
<p className="mb-4 text-sm text-gray-600">使用系统截图功能</p>
|
<p className="mb-4 text-sm text-gray-600">使用系统截图功能</p>
|
||||||
<Button onClick={handleCapture} variant="secondary" loading={uploadMutation.isPending}>
|
<Button
|
||||||
|
onClick={handleCapture}
|
||||||
|
variant="secondary"
|
||||||
|
loading={uploadMutation.isPending}
|
||||||
|
>
|
||||||
开始截图
|
开始截图
|
||||||
</Button>
|
</Button>
|
||||||
</div>
|
</div>
|
||||||
@@ -216,9 +360,7 @@ export default function ImagesPage() {
|
|||||||
className="rounded-lg border border-yellow-200 bg-yellow-50 p-4"
|
className="rounded-lg border border-yellow-200 bg-yellow-50 p-4"
|
||||||
>
|
>
|
||||||
<div className="mb-2 flex items-center justify-between">
|
<div className="mb-2 flex items-center justify-between">
|
||||||
<span className="text-xs font-medium text-yellow-800">
|
<span className="text-xs font-medium text-yellow-800">等待处理</span>
|
||||||
等待处理
|
|
||||||
</span>
|
|
||||||
<span className="text-xs text-yellow-600">
|
<span className="text-xs text-yellow-600">
|
||||||
{new Date(image.created_at).toLocaleString()}
|
{new Date(image.created_at).toLocaleString()}
|
||||||
</span>
|
</span>
|
||||||
@@ -272,14 +414,17 @@ export default function ImagesPage() {
|
|||||||
{/* 状态标签 */}
|
{/* 状态标签 */}
|
||||||
<div className="mb-2 flex items-center justify-between">
|
<div className="mb-2 flex items-center justify-between">
|
||||||
<span
|
<span
|
||||||
className={`rounded px-2 py-1 text-xs font-medium ${getStatusColor(image.processing_status)}`}
|
className={`rounded px-2 py-1 text-xs font-medium ${getStatusColor(
|
||||||
|
image.processing_status
|
||||||
|
)}`}
|
||||||
>
|
>
|
||||||
{image.processing_status === 'processing' && (
|
{image.processing_status === 'processing' && (
|
||||||
<RefreshCw className="mr-1 h-3 w-3 animate-spin inline" />
|
<RefreshCw className="mr-1 h-3 w-3 animate-spin inline" />
|
||||||
)}
|
)}
|
||||||
{getStatusLabel(image.processing_status)}
|
{getStatusLabel(image.processing_status)}
|
||||||
</span>
|
</span>
|
||||||
{image.ocr_confidence !== null && image.ocr_confidence !== undefined && (
|
{image.ocr_confidence !== null &&
|
||||||
|
image.ocr_confidence !== undefined && (
|
||||||
<span className="text-xs text-gray-600">
|
<span className="text-xs text-gray-600">
|
||||||
置信度: {Math.round(image.ocr_confidence * 100)}%
|
置信度: {Math.round(image.ocr_confidence * 100)}%
|
||||||
</span>
|
</span>
|
||||||
@@ -295,17 +440,15 @@ export default function ImagesPage() {
|
|||||||
|
|
||||||
{/* 错误信息 */}
|
{/* 错误信息 */}
|
||||||
{image.error_message && (
|
{image.error_message && (
|
||||||
<p className="mb-2 text-xs text-red-600">
|
<p className="mb-2 text-xs text-red-600">{image.error_message}</p>
|
||||||
{image.error_message}
|
|
||||||
</p>
|
|
||||||
)}
|
)}
|
||||||
|
|
||||||
{/* 操作按钮 */}
|
{/* 操作按钮 */}
|
||||||
<div className="flex gap-2">
|
<div className="flex flex-wrap gap-2">
|
||||||
|
<ReprocessButton image={image} />
|
||||||
|
|
||||||
{image.document_id ? (
|
{image.document_id ? (
|
||||||
<button
|
<button className="flex items-center rounded bg-blue-50 px-2 py-1 text-xs text-blue-600 hover:bg-blue-100">
|
||||||
className="flex items-center rounded bg-blue-50 px-2 py-1 text-xs text-blue-600 hover:bg-blue-100"
|
|
||||||
>
|
|
||||||
<FileText className="mr-1 h-3 w-3" />
|
<FileText className="mr-1 h-3 w-3" />
|
||||||
查看文档
|
查看文档
|
||||||
</button>
|
</button>
|
||||||
|
|||||||
+701
-104
@@ -1,154 +1,751 @@
|
|||||||
import { useState } from 'react';
|
import { useState, useEffect } from 'react';
|
||||||
import { Button } from '@/components/Button';
|
import { Button } from '@/components/Button';
|
||||||
import { Input } from '@/components/Input';
|
import { Input } from '@/components/Input';
|
||||||
import { Card } from '@/components/Card';
|
import { Card } from '@/components/Card';
|
||||||
import { Settings, Save, Eye, EyeOff } from 'lucide-react';
|
import { Settings, Save, CheckCircle, XCircle, Eye, EyeOff, Server, Globe, Database, Sparkles } from 'lucide-react';
|
||||||
|
|
||||||
|
// 从环境变量或 localStorage 获取 API 地址
|
||||||
|
const getDefaultApiUrl = () => {
|
||||||
|
return import.meta.env.VITE_API_URL || localStorage.getItem('api_base_url') || 'http://localhost:4000';
|
||||||
|
};
|
||||||
|
|
||||||
|
type ApiConfig = {
|
||||||
|
baseUrl: string;
|
||||||
|
};
|
||||||
|
|
||||||
|
type OCRConfig = {
|
||||||
|
provider: 'auto' | 'tesseract' | 'baidu' | 'tencent' | 'rapidocr';
|
||||||
|
confidenceThreshold: number;
|
||||||
|
baiduApiKey: string;
|
||||||
|
baiduSecretKey: string;
|
||||||
|
tencentSecretId: string;
|
||||||
|
tencentSecretKey: string;
|
||||||
|
rapidocrUrl: string;
|
||||||
|
};
|
||||||
|
|
||||||
|
type AIConfig = {
|
||||||
|
defaultProvider: 'glm' | 'minimax' | 'deepseek' | 'kimi' | 'openai' | 'anthropic';
|
||||||
|
// GLM (智谱AI)
|
||||||
|
glmApiKey: string;
|
||||||
|
glmApiUrl: string;
|
||||||
|
glmModel: string;
|
||||||
|
// MiniMax
|
||||||
|
minimaxApiKey: string;
|
||||||
|
minimaxApiUrl: string;
|
||||||
|
minimaxModel: string;
|
||||||
|
// DeepSeek
|
||||||
|
deepseekApiKey: string;
|
||||||
|
deepseekApiUrl: string;
|
||||||
|
deepseekModel: string;
|
||||||
|
// Kimi (月之暗面)
|
||||||
|
kimiApiKey: string;
|
||||||
|
kimiApiUrl: string;
|
||||||
|
kimiModel: string;
|
||||||
|
// OpenAI
|
||||||
|
openaiApiKey: string;
|
||||||
|
openaiApiUrl: string;
|
||||||
|
openaiModel: string;
|
||||||
|
// Anthropic
|
||||||
|
anthropicApiKey: string;
|
||||||
|
anthropicApiUrl: string;
|
||||||
|
anthropicModel: string;
|
||||||
|
};
|
||||||
|
|
||||||
|
const defaultApiConfig: ApiConfig = {
|
||||||
|
baseUrl: getDefaultApiUrl(),
|
||||||
|
};
|
||||||
|
|
||||||
|
const defaultOCRConfig: OCRConfig = {
|
||||||
|
provider: 'auto',
|
||||||
|
confidenceThreshold: 0.3,
|
||||||
|
baiduApiKey: '',
|
||||||
|
baiduSecretKey: '',
|
||||||
|
tencentSecretId: '',
|
||||||
|
tencentSecretKey: '',
|
||||||
|
rapidocrUrl: 'http://localhost:8080',
|
||||||
|
};
|
||||||
|
|
||||||
|
const defaultAIConfig: AIConfig = {
|
||||||
|
defaultProvider: 'glm',
|
||||||
|
glmApiKey: '',
|
||||||
|
glmApiUrl: 'https://open.bigmodel.cn/api/paas/v4/chat/completions',
|
||||||
|
glmModel: 'glm-4-flash',
|
||||||
|
minimaxApiKey: '',
|
||||||
|
minimaxApiUrl: 'https://api.minimax.chat/v1/chat/completions',
|
||||||
|
minimaxModel: 'abab6.5s-chat',
|
||||||
|
deepseekApiKey: '',
|
||||||
|
deepseekApiUrl: 'https://api.deepseek.com/v1/chat/completions',
|
||||||
|
deepseekModel: 'deepseek-chat',
|
||||||
|
kimiApiKey: '',
|
||||||
|
kimiApiUrl: 'https://api.moonshot.cn/v1/chat/completions',
|
||||||
|
kimiModel: 'moonshot-v1-8k',
|
||||||
|
openaiApiKey: '',
|
||||||
|
openaiApiUrl: 'https://api.openai.com/v1/chat/completions',
|
||||||
|
openaiModel: 'gpt-4o-mini',
|
||||||
|
anthropicApiKey: '',
|
||||||
|
anthropicApiUrl: 'https://api.anthropic.com/v1/messages',
|
||||||
|
anthropicModel: 'claude-3-5-sonnet-20241022',
|
||||||
|
};
|
||||||
|
|
||||||
|
type TabType = 'api' | 'ocr' | 'ai';
|
||||||
|
|
||||||
export default function SettingsPage() {
|
export default function SettingsPage() {
|
||||||
const [showApiKeys, setShowApiKeys] = useState(false);
|
const [apiConfig, setApiConfig] = useState<ApiConfig>(defaultApiConfig);
|
||||||
|
const [ocrConfig, setOcrConfig] = useState<OCRConfig>(defaultOCRConfig);
|
||||||
|
const [aiConfig, setAiConfig] = useState<AIConfig>(defaultAIConfig);
|
||||||
|
const [showSecrets, setShowSecrets] = useState<Record<string, boolean>>({});
|
||||||
const [saving, setSaving] = useState(false);
|
const [saving, setSaving] = useState(false);
|
||||||
|
const [saved, setSaved] = useState(false);
|
||||||
|
const [testing, setTesting] = useState<string | null>(null);
|
||||||
|
const [testResults, setTestResults] = useState<Record<string, { success: boolean; message: string; duration?: number }>>({});
|
||||||
|
const [availableProviders, setAvailableProviders] = useState<Array<{ type: string; name: string; available: boolean }>>([]);
|
||||||
|
const [activeTab, setActiveTab] = useState<TabType>('api');
|
||||||
|
|
||||||
// 表单状态
|
// 加载配置和可用服务
|
||||||
const [ocrProvider, setOcrProvider] = useState('tesseract');
|
useEffect(() => {
|
||||||
const [aiProvider, setAiProvider] = useState('glm');
|
// 加载 API 配置
|
||||||
const [glmApiKey, setGlmApiKey] = useState('');
|
const savedApiConfig = localStorage.getItem('api_config');
|
||||||
const [minimaxApiKey, setMinimaxApiKey] = useState('');
|
if (savedApiConfig) {
|
||||||
const [deepseekApiKey, setDeepseekApiKey] = useState('');
|
try {
|
||||||
|
setApiConfig(JSON.parse(savedApiConfig));
|
||||||
|
} catch (e) {
|
||||||
|
console.error('Failed to load API config', e);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// 加载 OCR 配置
|
||||||
|
const savedOcrConfig = localStorage.getItem('ocr_config');
|
||||||
|
if (savedOcrConfig) {
|
||||||
|
try {
|
||||||
|
setOcrConfig(JSON.parse(savedOcrConfig));
|
||||||
|
} catch (e) {
|
||||||
|
console.error('Failed to load OCR config', e);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// 加载 AI 配置
|
||||||
|
const savedAiConfig = localStorage.getItem('ai_config');
|
||||||
|
if (savedAiConfig) {
|
||||||
|
try {
|
||||||
|
setAiConfig(JSON.parse(savedAiConfig));
|
||||||
|
} catch (e) {
|
||||||
|
console.error('Failed to load AI config', e);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// 获取可用的 OCR 提供商
|
||||||
|
fetchProviders();
|
||||||
|
}, []);
|
||||||
|
|
||||||
|
const fetchProviders = async () => {
|
||||||
|
try {
|
||||||
|
const token = localStorage.getItem('auth_token');
|
||||||
|
const response = await fetch(`${apiConfig.baseUrl}/api/images/ocr/providers`, {
|
||||||
|
headers: token ? { Authorization: `Bearer ${token}` } : {},
|
||||||
|
});
|
||||||
|
const data = await response.json();
|
||||||
|
if (data.success) {
|
||||||
|
setAvailableProviders(data.data || []);
|
||||||
|
}
|
||||||
|
} catch (error) {
|
||||||
|
console.error('Failed to fetch providers', error);
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
const handleSave = async () => {
|
const handleSave = async () => {
|
||||||
setSaving(true);
|
setSaving(true);
|
||||||
try {
|
try {
|
||||||
// TODO: 保存配置到后端
|
// 保存所有配置到 localStorage
|
||||||
console.log('Saving settings:', {
|
localStorage.setItem('api_config', JSON.stringify(apiConfig));
|
||||||
ocrProvider,
|
localStorage.setItem('api_base_url', apiConfig.baseUrl);
|
||||||
aiProvider,
|
localStorage.setItem('ocr_config', JSON.stringify(ocrConfig));
|
||||||
glmApiKey,
|
localStorage.setItem('ai_config', JSON.stringify(aiConfig));
|
||||||
minimaxApiKey,
|
|
||||||
deepseekApiKey,
|
// TODO: 保存到后端用户配置
|
||||||
|
const token = localStorage.getItem('auth_token');
|
||||||
|
await fetch(`${apiConfig.baseUrl}/api/user/settings`, {
|
||||||
|
method: 'POST',
|
||||||
|
headers: {
|
||||||
|
'Content-Type': 'application/json',
|
||||||
|
...(token ? { Authorization: `Bearer ${token}` } : {}),
|
||||||
|
},
|
||||||
|
body: JSON.stringify({
|
||||||
|
ocr: ocrConfig,
|
||||||
|
ai: aiConfig,
|
||||||
|
}),
|
||||||
});
|
});
|
||||||
await new Promise((resolve) => setTimeout(resolve, 500));
|
|
||||||
alert('设置已保存');
|
setSaved(true);
|
||||||
} catch (err) {
|
setTimeout(() => setSaved(false), 2000);
|
||||||
alert('保存失败');
|
} catch (error) {
|
||||||
|
console.error('Save failed', error);
|
||||||
|
setSaved(true);
|
||||||
|
setTimeout(() => setSaved(false), 2000);
|
||||||
} finally {
|
} finally {
|
||||||
setSaving(false);
|
setSaving(false);
|
||||||
}
|
}
|
||||||
};
|
};
|
||||||
|
|
||||||
return (
|
const testApiConnection = async () => {
|
||||||
<div className="space-y-6">
|
setTesting('api');
|
||||||
<div>
|
setTestResults((prev) => ({ ...prev, api: { success: false, message: '测试中...' } }));
|
||||||
<h1 className="text-2xl font-bold text-gray-900">系统设置</h1>
|
|
||||||
<p className="mt-1 text-sm text-gray-600">配置 OCR 和 AI 服务提供商</p>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
{/* OCR 设置 */}
|
try {
|
||||||
<Card title="OCR 设置" variant="bordered">
|
const startTime = Date.now();
|
||||||
|
const response = await fetch(`${apiConfig.baseUrl}/api/health`);
|
||||||
|
const duration = Date.now() - startTime;
|
||||||
|
|
||||||
|
if (response.ok) {
|
||||||
|
setTestResults((prev) => ({
|
||||||
|
...prev,
|
||||||
|
api: { success: true, message: '连接成功', duration },
|
||||||
|
}));
|
||||||
|
} else {
|
||||||
|
setTestResults((prev) => ({
|
||||||
|
...prev,
|
||||||
|
api: { success: false, message: `服务器返回错误: ${response.status}` },
|
||||||
|
}));
|
||||||
|
}
|
||||||
|
} catch (error: any) {
|
||||||
|
setTestResults((prev) => ({
|
||||||
|
...prev,
|
||||||
|
api: { success: false, message: error.message || '连接失败' },
|
||||||
|
}));
|
||||||
|
} finally {
|
||||||
|
setTesting(null);
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
const handleTest = async (provider: string) => {
|
||||||
|
setTesting(provider);
|
||||||
|
setTestResults((prev) => ({ ...prev, [provider]: { success: false, message: '测试中...' } }));
|
||||||
|
|
||||||
|
try {
|
||||||
|
const startTime = Date.now();
|
||||||
|
const token = localStorage.getItem('auth_token');
|
||||||
|
|
||||||
|
const response = await fetch(`${apiConfig.baseUrl}/api/images/ocr/providers`, {
|
||||||
|
headers: token ? { Authorization: `Bearer ${token}` } : {},
|
||||||
|
});
|
||||||
|
const data = await response.json();
|
||||||
|
const duration = Date.now() - startTime;
|
||||||
|
|
||||||
|
if (data.success) {
|
||||||
|
const providers = data.data || [];
|
||||||
|
const found = providers.find((p: any) => p.type === provider);
|
||||||
|
|
||||||
|
if (found?.available) {
|
||||||
|
setTestResults((prev) => ({
|
||||||
|
...prev,
|
||||||
|
[provider]: { success: true, message: '连接成功', duration },
|
||||||
|
}));
|
||||||
|
} else {
|
||||||
|
setTestResults((prev) => ({
|
||||||
|
...prev,
|
||||||
|
[provider]: { success: false, message: '服务不可用' },
|
||||||
|
}));
|
||||||
|
}
|
||||||
|
} else {
|
||||||
|
setTestResults((prev) => ({
|
||||||
|
...prev,
|
||||||
|
[provider]: { success: false, message: data.error || '测试失败' },
|
||||||
|
}));
|
||||||
|
}
|
||||||
|
} catch (error: any) {
|
||||||
|
setTestResults((prev) => ({
|
||||||
|
...prev,
|
||||||
|
[provider]: { success: false, message: error.message || '连接失败' },
|
||||||
|
}));
|
||||||
|
} finally {
|
||||||
|
setTesting(null);
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
const toggleSecret = (key: string) => {
|
||||||
|
setShowSecrets((prev) => ({ ...prev, [key]: !prev[key] }));
|
||||||
|
};
|
||||||
|
|
||||||
|
const updateApiConfig = (key: keyof ApiConfig, value: any) => {
|
||||||
|
setApiConfig((prev) => ({ ...prev, [key]: value }));
|
||||||
|
setSaved(false);
|
||||||
|
};
|
||||||
|
|
||||||
|
const updateOcrConfig = (key: keyof OCRConfig, value: any) => {
|
||||||
|
setOcrConfig((prev) => ({ ...prev, [key]: value }));
|
||||||
|
setSaved(false);
|
||||||
|
};
|
||||||
|
|
||||||
|
const updateAiConfig = (key: keyof AIConfig, value: any) => {
|
||||||
|
setAiConfig((prev) => ({ ...prev, [key]: value }));
|
||||||
|
setSaved(false);
|
||||||
|
};
|
||||||
|
|
||||||
|
const isProviderAvailable = (type: string) => {
|
||||||
|
return availableProviders.find((p) => p.type === type)?.available ?? false;
|
||||||
|
};
|
||||||
|
|
||||||
|
const renderSecretInput = (
|
||||||
|
value: string,
|
||||||
|
onChange: (val: string) => void,
|
||||||
|
placeholder: string,
|
||||||
|
secretKey: string
|
||||||
|
) => (
|
||||||
|
<div className="relative">
|
||||||
|
<Input
|
||||||
|
type={showSecrets[secretKey] ? 'text' : 'password'}
|
||||||
|
value={value}
|
||||||
|
onChange={(e) => onChange(e.target.value)}
|
||||||
|
placeholder={placeholder}
|
||||||
|
className="pr-10"
|
||||||
|
/>
|
||||||
|
<button
|
||||||
|
type="button"
|
||||||
|
onClick={() => toggleSecret(secretKey)}
|
||||||
|
className="absolute right-2 top-1/2 -translate-y-1/2 text-gray-400 hover:text-gray-600"
|
||||||
|
>
|
||||||
|
{showSecrets[secretKey] ? <EyeOff className="h-4 w-4" /> : <Eye className="h-4 w-4" />}
|
||||||
|
</button>
|
||||||
|
</div>
|
||||||
|
);
|
||||||
|
|
||||||
|
const renderAIProviderCard = (
|
||||||
|
title: string,
|
||||||
|
providerKey: 'glm' | 'minimax' | 'deepseek' | 'kimi' | 'openai' | 'anthropic',
|
||||||
|
color: string,
|
||||||
|
description: string,
|
||||||
|
link: string,
|
||||||
|
linkText: string
|
||||||
|
) => (
|
||||||
|
<Card title={title} variant="bordered" key={providerKey}>
|
||||||
<div className="space-y-4">
|
<div className="space-y-4">
|
||||||
<div>
|
<div>
|
||||||
<label className="block text-sm font-medium text-gray-700">
|
<label className="block text-sm font-medium text-gray-700 mb-2">
|
||||||
OCR 提供商
|
API Key
|
||||||
|
</label>
|
||||||
|
{renderSecretInput(
|
||||||
|
aiConfig[`${providerKey}ApiKey` as keyof AIConfig] as string,
|
||||||
|
(val) => updateAiConfig(`${providerKey}ApiKey` as keyof AIConfig, val),
|
||||||
|
`输入 ${title} API Key`,
|
||||||
|
`${providerKey}ApiKey`
|
||||||
|
)}
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div>
|
||||||
|
<label className="block text-sm font-medium text-gray-700 mb-2">
|
||||||
|
API 地址
|
||||||
|
</label>
|
||||||
|
<Input
|
||||||
|
value={aiConfig[`${providerKey}ApiUrl` as keyof AIConfig] as string}
|
||||||
|
onChange={(e) => updateAiConfig(`${providerKey}ApiUrl` as keyof AIConfig, e.target.value)}
|
||||||
|
placeholder="API 地址"
|
||||||
|
/>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div>
|
||||||
|
<label className="block text-sm font-medium text-gray-700 mb-2">
|
||||||
|
模型
|
||||||
|
</label>
|
||||||
|
<Input
|
||||||
|
value={aiConfig[`${providerKey}Model` as keyof AIConfig] as string}
|
||||||
|
onChange={(e) => updateAiConfig(`${providerKey}Model` as keyof AIConfig, e.target.value)}
|
||||||
|
placeholder="模型名称"
|
||||||
|
/>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div className={`flex items-center justify-between ${color} p-3 rounded-lg`}>
|
||||||
|
<div className="text-sm">
|
||||||
|
<p className="text-gray-700">{description}</p>
|
||||||
|
<a
|
||||||
|
href={link}
|
||||||
|
target="_blank"
|
||||||
|
rel="noopener noreferrer"
|
||||||
|
className="text-blue-600 hover:underline text-xs"
|
||||||
|
>
|
||||||
|
{linkText}
|
||||||
|
</a>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</Card>
|
||||||
|
);
|
||||||
|
|
||||||
|
return (
|
||||||
|
<div className="max-w-3xl mx-auto space-y-6">
|
||||||
|
<div className="flex items-center gap-3">
|
||||||
|
<Settings className="h-8 w-8 text-gray-600" />
|
||||||
|
<div>
|
||||||
|
<h1 className="text-2xl font-bold text-gray-900">系统设置</h1>
|
||||||
|
<p className="text-sm text-gray-600">配置 API、OCR 和 AI 服务</p>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
{/* 标签页切换 */}
|
||||||
|
<div className="flex gap-2 border-b border-gray-200">
|
||||||
|
<button
|
||||||
|
onClick={() => setActiveTab('api')}
|
||||||
|
className={`px-4 py-2 font-medium text-sm border-b-2 transition-colors ${
|
||||||
|
activeTab === 'api'
|
||||||
|
? 'border-blue-500 text-blue-600'
|
||||||
|
: 'border-transparent text-gray-600 hover:text-gray-900'
|
||||||
|
}`}
|
||||||
|
>
|
||||||
|
<Globe className="h-4 w-4 inline mr-1" />
|
||||||
|
API 配置
|
||||||
|
</button>
|
||||||
|
<button
|
||||||
|
onClick={() => setActiveTab('ocr')}
|
||||||
|
className={`px-4 py-2 font-medium text-sm border-b-2 transition-colors ${
|
||||||
|
activeTab === 'ocr'
|
||||||
|
? 'border-blue-500 text-blue-600'
|
||||||
|
: 'border-transparent text-gray-600 hover:text-gray-900'
|
||||||
|
}`}
|
||||||
|
>
|
||||||
|
<Database className="h-4 w-4 inline mr-1" />
|
||||||
|
OCR 配置
|
||||||
|
</button>
|
||||||
|
<button
|
||||||
|
onClick={() => setActiveTab('ai')}
|
||||||
|
className={`px-4 py-2 font-medium text-sm border-b-2 transition-colors ${
|
||||||
|
activeTab === 'ai'
|
||||||
|
? 'border-blue-500 text-blue-600'
|
||||||
|
: 'border-transparent text-gray-600 hover:text-gray-900'
|
||||||
|
}`}
|
||||||
|
>
|
||||||
|
<Sparkles className="h-4 w-4 inline mr-1" />
|
||||||
|
AI 配置
|
||||||
|
</button>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
{/* API 配置标签页 */}
|
||||||
|
{activeTab === 'api' && (
|
||||||
|
<>
|
||||||
|
<Card title="API 服务器配置" variant="bordered">
|
||||||
|
<div className="space-y-4">
|
||||||
|
<div>
|
||||||
|
<label className="block text-sm font-medium text-gray-700 mb-2">
|
||||||
|
后端 API 地址
|
||||||
|
</label>
|
||||||
|
<Input
|
||||||
|
value={apiConfig.baseUrl}
|
||||||
|
onChange={(e) => updateApiConfig('baseUrl', e.target.value)}
|
||||||
|
placeholder="http://localhost:4000"
|
||||||
|
/>
|
||||||
|
<p className="mt-1 text-xs text-gray-500">
|
||||||
|
后端服务器的 API 地址，修改后需要刷新页面生效
|
||||||
|
</p>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div className="flex items-center justify-between bg-blue-50 p-3 rounded-lg">
|
||||||
|
<div>
|
||||||
|
<p className="text-sm text-gray-700">
|
||||||
|
当前 API 地址: <code className="bg-gray-100 px-2 py-1 rounded text-xs">{apiConfig.baseUrl}</code>
|
||||||
|
</p>
|
||||||
|
<p className="text-xs text-gray-500 mt-1">
|
||||||
|
确保后端服务已启动且可访问
|
||||||
|
</p>
|
||||||
|
</div>
|
||||||
|
<Button
|
||||||
|
variant="secondary"
|
||||||
|
size="sm"
|
||||||
|
onClick={testApiConnection}
|
||||||
|
loading={testing === 'api'}
|
||||||
|
>
|
||||||
|
测试连接
|
||||||
|
</Button>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
{testResults.api && (
|
||||||
|
<div className={`flex items-center gap-2 text-sm ${testResults.api.success ? 'text-green-600' : 'text-red-600'}`}>
|
||||||
|
{testResults.api.success ? (
|
||||||
|
<CheckCircle className="h-4 w-4" />
|
||||||
|
) : (
|
||||||
|
<XCircle className="h-4 w-4" />
|
||||||
|
)}
|
||||||
|
{testResults.api.message}
|
||||||
|
{testResults.api.duration && ` (${testResults.api.duration}ms)`}
|
||||||
|
</div>
|
||||||
|
)}
|
||||||
|
</div>
|
||||||
|
</Card>
|
||||||
|
|
||||||
|
<Card title="环境信息" variant="bordered">
|
||||||
|
<div className="space-y-2 text-sm">
|
||||||
|
<div className="flex justify-between">
|
||||||
|
<span className="text-gray-600">前端运行环境:</span>
|
||||||
|
<span className="font-medium">{import.meta.env.MODE}</span>
|
||||||
|
</div>
|
||||||
|
<div className="flex justify-between">
|
||||||
|
<span className="text-gray-600">默认 API 地址:</span>
|
||||||
|
<span className="font-medium">{import.meta.env.VITE_API_URL || 'http://localhost:4000'}</span>
|
||||||
|
</div>
|
||||||
|
<div className="flex justify-between">
|
||||||
|
<span className="text-gray-600">当前用户:</span>
|
||||||
|
<span className="font-medium">{localStorage.getItem('user_name') || '未登录'}</span>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</Card>
|
||||||
|
</>
|
||||||
|
)}
|
||||||
|
|
||||||
|
{/* OCR 配置标签页 */}
|
||||||
|
{activeTab === 'ocr' && (
|
||||||
|
<>
|
||||||
|
<Card title="基本设置" variant="bordered">
|
||||||
|
<div className="space-y-4">
|
||||||
|
<div>
|
||||||
|
<label className="block text-sm font-medium text-gray-700 mb-2">
|
||||||
|
默认 OCR 引擎
|
||||||
</label>
|
</label>
|
||||||
<select
|
<select
|
||||||
value={ocrProvider}
|
value={ocrConfig.provider}
|
||||||
onChange={(e) => setOcrProvider(e.target.value)}
|
onChange={(e) => updateOcrConfig('provider', e.target.value)}
|
||||||
className="mt-1 block w-full rounded-md border border-gray-300 px-3 py-2 text-sm focus:border-blue-500 focus:outline-none focus:ring-1 focus:ring-blue-500"
|
className="w-full px-3 py-2 border border-gray-300 rounded-lg focus:ring-2 focus:ring-blue-500 focus:border-blue-500"
|
||||||
>
|
>
|
||||||
<option value="tesseract">Tesseract.js (浏览器端)</option>
|
<option value="auto">自动选择</option>
|
||||||
<option value="paddle">PaddleOCR (本地服务)</option>
|
<option value="tesseract">Tesseract.js (本地)</option>
|
||||||
<option value="baidu">百度 OCR</option>
|
<option value="rapidocr">RapidOCR (本地服务)</option>
|
||||||
<option value="tencent">腾讯云 OCR</option>
|
<option value="baidu">百度 OCR (云端)</option>
|
||||||
|
<option value="tencent">腾讯 OCR (云端)</option>
|
||||||
</select>
|
</select>
|
||||||
<p className="mt-1 text-xs text-gray-500">
|
<p className="mt-1 text-xs text-gray-500">
|
||||||
选择 OCR 文字识别服务提供商
|
选择默认使用的 OCR 引擎，上传图片时会自动使用
|
||||||
|
</p>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div>
|
||||||
|
<label className="block text-sm font-medium text-gray-700 mb-2">
|
||||||
|
置信度阈值: {(ocrConfig.confidenceThreshold * 100).toFixed(0)}%
|
||||||
|
</label>
|
||||||
|
<input
|
||||||
|
type="range"
|
||||||
|
min="0"
|
||||||
|
max="1"
|
||||||
|
step="0.05"
|
||||||
|
value={ocrConfig.confidenceThreshold}
|
||||||
|
onChange={(e) => updateOcrConfig('confidenceThreshold', parseFloat(e.target.value))}
|
||||||
|
className="w-full"
|
||||||
|
/>
|
||||||
|
<p className="mt-1 text-xs text-gray-500">
|
||||||
|
低于此阈值的识别结果将被标记为失败
|
||||||
</p>
|
</p>
|
||||||
</div>
|
</div>
|
||||||
</div>
|
</div>
|
||||||
</Card>
|
</Card>
|
||||||
|
|
||||||
{/* AI 设置 */}
|
<Card title="Tesseract.js" variant="bordered">
|
||||||
<Card title="AI 分析设置" variant="bordered">
|
<div className="flex items-center justify-between">
|
||||||
<div className="space-y-6">
|
|
||||||
<div>
|
<div>
|
||||||
<label className="block text-sm font-medium text-gray-700">
|
<p className="text-sm text-gray-600">
|
||||||
AI 提供商
|
Tesseract.js 已安装，无需额外配置。首次使用时会下载语言包。
|
||||||
|
</p>
|
||||||
|
<p className="text-xs text-gray-500 mt-1">
|
||||||
|
特点: 免费、离线、速度较慢、准确率中等
|
||||||
|
</p>
|
||||||
|
</div>
|
||||||
|
<Button
|
||||||
|
variant="secondary"
|
||||||
|
size="sm"
|
||||||
|
onClick={() => handleTest('tesseract')}
|
||||||
|
loading={testing === 'tesseract'}
|
||||||
|
>
|
||||||
|
测试
|
||||||
|
</Button>
|
||||||
|
</div>
|
||||||
|
{testResults.tesseract && (
|
||||||
|
<div className={`mt-3 flex items-center gap-2 text-sm ${testResults.tesseract.success ? 'text-green-600' : 'text-red-600'}`}>
|
||||||
|
{testResults.tesseract.success ? <CheckCircle className="h-4 w-4" /> : <XCircle className="h-4 w-4" />}
|
||||||
|
{testResults.tesseract.message}
|
||||||
|
</div>
|
||||||
|
)}
|
||||||
|
</Card>
|
||||||
|
|
||||||
|
<Card title="RapidOCR" variant="bordered">
|
||||||
|
<div className="space-y-4">
|
||||||
|
<div>
|
||||||
|
<label className="block text-sm font-medium text-gray-700 mb-2">
|
||||||
|
服务地址
|
||||||
|
</label>
|
||||||
|
<Input
|
||||||
|
value={ocrConfig.rapidocrUrl}
|
||||||
|
onChange={(e) => updateOcrConfig('rapidocrUrl', e.target.value)}
|
||||||
|
placeholder="http://localhost:8080"
|
||||||
|
/>
|
||||||
|
</div>
|
||||||
|
<div className="flex items-center justify-between">
|
||||||
|
<div>
|
||||||
|
<p className="text-xs text-gray-600">
|
||||||
|
特点: 免费、离线、速度快、准确率高 (推荐)
|
||||||
|
</p>
|
||||||
|
<p className="text-xs text-gray-500 mt-1">
|
||||||
|
启动: <code className="bg-gray-100 px-1 rounded">python backend/scripts/rapidocr_server.py</code>
|
||||||
|
</p>
|
||||||
|
</div>
|
||||||
|
<Button
|
||||||
|
variant="secondary"
|
||||||
|
size="sm"
|
||||||
|
onClick={() => handleTest('rapidocr')}
|
||||||
|
loading={testing === 'rapidocr'}
|
||||||
|
>
|
||||||
|
测试
|
||||||
|
</Button>
|
||||||
|
</div>
|
||||||
|
{testResults.rapidocr && (
|
||||||
|
<div className={`flex items-center gap-2 text-sm ${testResults.rapidocr.success ? 'text-green-600' : 'text-red-600'}`}>
|
||||||
|
{testResults.rapidocr.success ? <CheckCircle className="h-4 w-4" /> : <XCircle className="h-4 w-4" />}
|
||||||
|
{testResults.rapidocr.message}
|
||||||
|
</div>
|
||||||
|
)}
|
||||||
|
</div>
|
||||||
|
</Card>
|
||||||
|
|
||||||
|
<Card title="百度 OCR" variant="bordered">
|
||||||
|
<div className="space-y-4">
|
||||||
|
<div>
|
||||||
|
<label className="block text-sm font-medium text-gray-700 mb-2">API Key</label>
|
||||||
|
{renderSecretInput(
|
||||||
|
ocrConfig.baiduApiKey,
|
||||||
|
(val) => updateOcrConfig('baiduApiKey', val),
|
||||||
|
'输入百度 OCR API Key',
|
||||||
|
'baiduApiKey'
|
||||||
|
)}
|
||||||
|
</div>
|
||||||
|
<div>
|
||||||
|
<label className="block text-sm font-medium text-gray-700 mb-2">Secret Key</label>
|
||||||
|
{renderSecretInput(
|
||||||
|
ocrConfig.baiduSecretKey,
|
||||||
|
(val) => updateOcrConfig('baiduSecretKey', val),
|
||||||
|
'输入百度 OCR Secret Key',
|
||||||
|
'baiduSecretKey'
|
||||||
|
)}
|
||||||
|
</div>
|
||||||
|
<div className="bg-blue-50 p-3 rounded-lg flex items-center justify-between">
|
||||||
|
<div className="text-sm">
|
||||||
|
<p className="text-gray-700">
|
||||||
|
需要申请密钥？
|
||||||
|
<a href="https://cloud.baidu.com/product/ocr" target="_blank" rel="noopener noreferrer" className="ml-1 text-blue-600 hover:underline">
|
||||||
|
前往百度智能云
|
||||||
|
</a>
|
||||||
|
</p>
|
||||||
|
<p className="text-xs text-gray-500 mt-1">标准版 QPS=2，每日免费 1000 次</p>
|
||||||
|
</div>
|
||||||
|
<Button variant="secondary" size="sm" onClick={() => handleTest('baidu')} loading={testing === 'baidu'}>
|
||||||
|
测试
|
||||||
|
</Button>
|
||||||
|
</div>
|
||||||
|
{testResults.baidu && (
|
||||||
|
<div className={`flex items-center gap-2 text-sm ${testResults.baidu.success ? 'text-green-600' : 'text-red-600'}`}>
|
||||||
|
{testResults.baidu.success ? <CheckCircle className="h-4 w-4" /> : <XCircle className="h-4 w-4" />}
|
||||||
|
{testResults.baidu.message}
|
||||||
|
</div>
|
||||||
|
)}
|
||||||
|
</div>
|
||||||
|
</Card>
|
||||||
|
</>
|
||||||
|
)}
|
||||||
|
|
||||||
|
{/* AI 配置标签页 */}
|
||||||
|
{activeTab === 'ai' && (
|
||||||
|
<>
|
||||||
|
<Card title="基本设置" variant="bordered">
|
||||||
|
<div className="space-y-4">
|
||||||
|
<div>
|
||||||
|
<label className="block text-sm font-medium text-gray-700 mb-2">
|
||||||
|
默认 AI 服务商
|
||||||
</label>
|
</label>
|
||||||
<select
|
<select
|
||||||
value={aiProvider}
|
value={aiConfig.defaultProvider}
|
||||||
onChange={(e) => setAiProvider(e.target.value)}
|
onChange={(e) => updateAiConfig('defaultProvider', e.target.value)}
|
||||||
className="mt-1 block w-full rounded-md border border-gray-300 px-3 py-2 text-sm focus:border-blue-500 focus:outline-none focus:ring-1 focus:ring-blue-500"
|
className="w-full px-3 py-2 border border-gray-300 rounded-lg focus:ring-2 focus:ring-blue-500 focus:border-blue-500"
|
||||||
>
|
>
|
||||||
<option value="glm">智谱 AI (GLM)</option>
|
<option value="glm">智谱 AI (GLM)</option>
|
||||||
<option value="minimax">MiniMax</option>
|
<option value="minimax">MiniMax</option>
|
||||||
<option value="deepseek">DeepSeek</option>
|
<option value="deepseek">DeepSeek</option>
|
||||||
|
<option value="kimi">Kimi (月之暗面)</option>
|
||||||
|
<option value="openai">OpenAI</option>
|
||||||
|
<option value="anthropic">Anthropic (Claude)</option>
|
||||||
</select>
|
</select>
|
||||||
<p className="mt-1 text-xs text-gray-500">
|
<p className="mt-1 text-xs text-gray-500">
|
||||||
选择用于智能标签和分类的 AI 服务
|
选择默认使用的 AI 服务商，用于文档分析和智能标签生成
|
||||||
</p>
|
</p>
|
||||||
</div>
|
</div>
|
||||||
|
|
||||||
<div className="space-y-4">
|
|
||||||
{/* GLM API Key */}
|
|
||||||
<div>
|
|
||||||
<div className="flex items-center justify-between">
|
|
||||||
<label className="block text-sm font-medium text-gray-700">
|
|
||||||
智谱 AI API Key
|
|
||||||
</label>
|
|
||||||
<button
|
|
||||||
type="button"
|
|
||||||
onClick={() => setShowApiKeys(!showApiKeys)}
|
|
||||||
className="text-sm text-gray-500 hover:text-gray-700"
|
|
||||||
>
|
|
||||||
{showApiKeys ? <EyeOff className="h-4 w-4" /> : <Eye className="h-4 w-4" />}
|
|
||||||
</button>
|
|
||||||
</div>
|
|
||||||
<Input
|
|
||||||
type={showApiKeys ? 'text' : 'password'}
|
|
||||||
value={glmApiKey}
|
|
||||||
onChange={(e) => setGlmApiKey(e.target.value)}
|
|
||||||
placeholder="请输入智谱 AI API Key"
|
|
||||||
className="mt-1"
|
|
||||||
/>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
{/* MiniMax API Key */}
|
|
||||||
<div>
|
|
||||||
<label className="block text-sm font-medium text-gray-700">
|
|
||||||
MiniMax API Key
|
|
||||||
</label>
|
|
||||||
<Input
|
|
||||||
type={showApiKeys ? 'text' : 'password'}
|
|
||||||
value={minimaxApiKey}
|
|
||||||
onChange={(e) => setMinimaxApiKey(e.target.value)}
|
|
||||||
placeholder="请输入 MiniMax API Key"
|
|
||||||
className="mt-1"
|
|
||||||
/>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
{/* DeepSeek API Key */}
|
|
||||||
<div>
|
|
||||||
<label className="block text-sm font-medium text-gray-700">
|
|
||||||
DeepSeek API Key
|
|
||||||
</label>
|
|
||||||
<Input
|
|
||||||
type={showApiKeys ? 'text' : 'password'}
|
|
||||||
value={deepseekApiKey}
|
|
||||||
onChange={(e) => setDeepseekApiKey(e.target.value)}
|
|
||||||
placeholder="请输入 DeepSeek API Key"
|
|
||||||
className="mt-1"
|
|
||||||
/>
|
|
||||||
</div>
|
|
||||||
</div>
|
|
||||||
</div>
|
</div>
|
||||||
</Card>
|
</Card>
|
||||||
|
|
||||||
|
{renderAIProviderCard(
|
||||||
|
'智谱 AI (GLM)',
|
||||||
|
'glm',
|
||||||
|
'bg-green-50',
|
||||||
|
'国内领先的大语言模型，支持文档分析、智能标签等功能。',
|
||||||
|
'https://open.bigmodel.cn/',
|
||||||
|
'前往智谱AI开放平台'
|
||||||
|
)}
|
||||||
|
|
||||||
|
{renderAIProviderCard(
|
||||||
|
'MiniMax',
|
||||||
|
'minimax',
|
||||||
|
'bg-purple-50',
|
||||||
|
'专注于对话和文本生成的大模型，中文理解能力强。',
|
||||||
|
'https://api.minimax.chat/',
|
||||||
|
'前往 MiniMax 开放平台'
|
||||||
|
)}
|
||||||
|
|
||||||
|
{renderAIProviderCard(
|
||||||
|
'DeepSeek',
|
||||||
|
'deepseek',
|
||||||
|
'bg-blue-50',
|
||||||
|
'开源大模型，代码理解和逻辑分析能力强，价格优惠。',
|
||||||
|
'https://platform.deepseek.com/',
|
||||||
|
'前往 DeepSeek 平台'
|
||||||
|
)}
|
||||||
|
|
||||||
|
{renderAIProviderCard(
|
||||||
|
'Kimi (月之暗面)',
|
||||||
|
'kimi',
|
||||||
|
'bg-orange-50',
|
||||||
|
'支持超长文本处理，适合长文档分析和总结。',
|
||||||
|
'https://platform.moonshot.cn/',
|
||||||
|
'前往 Moonshot AI 平台'
|
||||||
|
)}
|
||||||
|
|
||||||
|
{renderAIProviderCard(
|
||||||
|
'OpenAI',
|
||||||
|
'openai',
|
||||||
|
'bg-emerald-50',
|
||||||
|
'全球领先的 AI 模型，包括 GPT-4、GPT-4o 等。',
|
||||||
|
'https://platform.openai.com/',
|
||||||
|
'前往 OpenAI 平台'
|
||||||
|
)}
|
||||||
|
|
||||||
|
{renderAIProviderCard(
|
||||||
|
'Anthropic (Claude)',
|
||||||
|
'anthropic',
|
||||||
|
'bg-amber-50',
|
||||||
|
'Claude 系列 AI 模型，擅长分析和长文本处理。',
|
||||||
|
'https://console.anthropic.com/',
|
||||||
|
'前往 Anthropic 控制台'
|
||||||
|
)}
|
||||||
|
</>
|
||||||
|
)}
|
||||||
|
|
||||||
{/* 保存按钮 */}
|
{/* 保存按钮 */}
|
||||||
<div className="flex justify-end">
|
<div className="flex items-center justify-between bg-white p-4 rounded-lg border border-gray-200">
|
||||||
<Button onClick={handleSave} loading={saving} className="min-w-[120px]">
|
<div className="text-sm text-gray-600">
|
||||||
<Save className="mr-2 h-4 w-4" />
|
<Server className="h-4 w-4 inline mr-1" />
|
||||||
保存设置
|
配置保存在浏览器本地，清除数据会丢失
|
||||||
|
</div>
|
||||||
|
<div className="flex items-center gap-3">
|
||||||
|
{saved && (
|
||||||
|
<span className="flex items-center gap-1 text-green-600 text-sm">
|
||||||
|
<CheckCircle className="h-4 w-4" />
|
||||||
|
已保存
|
||||||
|
</span>
|
||||||
|
)}
|
||||||
|
<Button onClick={handleSave} loading={saving}>
|
||||||
|
<Save className="h-4 w-4 mr-2" />
|
||||||
|
保存配置
|
||||||
</Button>
|
</Button>
|
||||||
</div>
|
</div>
|
||||||
</div>
|
</div>
|
||||||
|
</div>
|
||||||
);
|
);
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -107,6 +107,31 @@ class ImageServiceClass {
|
|||||||
throw new Error(error.response?.data?.error || '删除失败');
|
throw new Error(error.response?.data?.error || '删除失败');
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 重新处理图片 OCR
|
||||||
|
* @param id 图片 ID
|
||||||
|
* @param provider OCR 提供商 ('tesseract' | 'baidu' | 'rapidocr' | 'auto')
|
||||||
|
*/
|
||||||
|
async reprocess(id: string, provider?: string): Promise<void> {
|
||||||
|
try {
|
||||||
|
await apiClient.post(`/images/${id}/reprocess`, { provider });
|
||||||
|
} catch (error: any) {
|
||||||
|
throw new Error(error.response?.data?.error || '重新处理失败');
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 获取可用的 OCR 提供商列表
|
||||||
|
*/
|
||||||
|
async getOCRProviders(): Promise<Array<{ type: string; name: string; available: boolean; typeDesc: string }>> {
|
||||||
|
try {
|
||||||
|
const response = await apiClient.get<{ success: boolean; data: Array<{ type: string; name: string; available: boolean; typeDesc: string }> }>('/images/ocr/providers');
|
||||||
|
return response.data.data || [];
|
||||||
|
} catch (error: any) {
|
||||||
|
return [];
|
||||||
|
}
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
export const ImageService = new ImageServiceClass();
|
export const ImageService = new ImageServiceClass();
|
||||||
|
|||||||
@@ -11,10 +11,11 @@ export default defineConfig({
|
|||||||
},
|
},
|
||||||
},
|
},
|
||||||
server: {
|
server: {
|
||||||
port: 3000,
|
port: 13056,
|
||||||
|
strictPort: true,
|
||||||
proxy: {
|
proxy: {
|
||||||
'/api': {
|
'/api': {
|
||||||
target: 'http://localhost:4000',
|
target: 'http://localhost:13057',
|
||||||
changeOrigin: true,
|
changeOrigin: true,
|
||||||
},
|
},
|
||||||
},
|
},
|
||||||
|
|||||||
Reference in New Issue
Block a user