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vendor/ruvector/examples/scipix/docs/API_SERVER.md
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vendor/ruvector/examples/scipix/docs/API_SERVER.md
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# Scipix API Server Implementation
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## Overview
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A production-ready REST API server implementing the Scipix v3 API specification using Axum framework. The server provides OCR, mathematical equation recognition, and async PDF processing capabilities.
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## Architecture
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### Components
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```
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src/api/
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├── mod.rs - Server startup and graceful shutdown (104 lines)
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├── routes.rs - Route definitions and middleware stack (93 lines)
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├── handlers.rs - Request handlers for all endpoints (317 lines)
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├── middleware.rs - Auth, rate limiting, and security (150 lines)
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├── state.rs - Shared application state (95 lines)
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├── requests.rs - Request types with validation (192 lines)
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├── responses.rs - Response types and error handling (140 lines)
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└── jobs.rs - Async job queue with webhooks (247 lines)
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src/bin/
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└── server.rs - Binary entry point (28 lines)
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tests/integration/
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└── api_tests.rs - Integration tests (230 lines)
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Total: ~1,496 lines of code
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```
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## Features Implemented
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### 1. Complete Scipix v3 API Endpoints
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#### Image Processing
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- **POST /v3/text** - Process images (multipart, base64, URL)
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- Input validation
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- Image download/decode
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- Multiple output formats (text, LaTeX, MathML, HTML)
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- **POST /v3/strokes** - Digital ink recognition
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- Stroke data processing
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- Coordinate validation
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- **POST /v3/latex** - Legacy equation processing
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- Backward compatibility
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#### Async PDF Processing
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- **POST /v3/pdf** - Create async PDF job
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- Job queue management
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- Webhook callbacks
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- Configurable options (format, OCR, page range)
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- **GET /v3/pdf/:id** - Get job status
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- Real-time status tracking
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- **DELETE /v3/pdf/:id** - Cancel job
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- **GET /v3/pdf/:id/stream** - SSE streaming
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- Real-time progress updates
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#### Utility Endpoints
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- **POST /v3/converter** - Document conversion
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- **GET /v3/ocr-results** - Processing history with pagination
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- **GET /v3/ocr-usage** - Usage statistics
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- **GET /health** - Health check (no auth required)
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### 2. Middleware Stack
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#### Authentication Middleware
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```rust
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- Header-based: app_id, app_key
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- Query parameter fallback
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- Extensible validation system
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```
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#### Rate Limiting
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```rust
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- Token bucket algorithm (Governor crate)
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- 100 requests/minute default
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- Per-endpoint configuration support
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```
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#### Additional Middleware
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- **Tracing**: Request/response logging with structured logs
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- **CORS**: Permissive CORS for development
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- **Compression**: Gzip compression for responses
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### 3. Async Job Queue
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#### Features
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- Background processing with Tokio channels
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- Job status tracking (Queued, Processing, Completed, Failed, Cancelled)
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- Result storage and caching
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- Webhook callbacks on completion
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- Graceful error handling
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#### Implementation Details
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```rust
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pub struct JobQueue {
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jobs: Arc<RwLock<HashMap<String, PdfJob>>>,
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tx: mpsc::Sender<PdfJob>,
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_handle: Option<tokio::task::JoinHandle<()>>,
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}
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```
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### 4. Request/Response Types
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#### Validation
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- Input validation with `validator` crate
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- URL validation
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- Field constraints (length, format)
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#### Type Safety
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```rust
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// Strongly typed requests
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pub struct TextRequest {
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src: Option<String>,
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base64: Option<String>,
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url: Option<String>,
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metadata: RequestMetadata,
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}
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// Comprehensive error responses
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pub enum ErrorResponse {
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ValidationError,
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Unauthorized,
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NotFound,
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RateLimited,
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InternalError,
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}
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```
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### 5. Application State
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#### Shared State Management
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```rust
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#[derive(Clone)]
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pub struct AppState {
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job_queue: Arc<JobQueue>, // Async processing
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cache: Cache<String, String>, // Result caching (Moka)
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rate_limiter: AppRateLimiter, // Token bucket
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}
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```
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#### Configuration
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- Environment-based configuration
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- Customizable capacity and limits
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- Cache TTL and size management
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## Technical Details
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### Dependencies
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**Web Framework**
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- `axum` 0.7 - Web framework with multipart support
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- `tower` 0.4 - Middleware abstractions
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- `tower-http` 0.5 - HTTP middleware implementations
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- `hyper` 1.0 - HTTP implementation
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**Async Runtime**
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- `tokio` 1.41 - Async runtime with signal handling
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**Validation & Serialization**
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- `validator` 0.18 - Input validation
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- `serde` 1.0 - Serialization
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- `serde_json` 1.0 - JSON support
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**Rate Limiting & Caching**
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- `governor` 0.6 - Token bucket rate limiting
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- `moka` 0.12 - High-performance async cache
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**HTTP Client**
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- `reqwest` 0.12 - HTTP client for webhooks
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**Utilities**
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- `uuid` 1.11 - Unique identifiers
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- `chrono` 0.4 - Timestamp handling
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- `base64` 0.22 - Base64 encoding/decoding
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### Performance Characteristics
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**Concurrency**
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- Async I/O throughout
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- Non-blocking request handling
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- Background job processing
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**Caching**
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- 10,000 entry capacity
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- 1 hour TTL
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- 10 minute idle timeout
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**Rate Limiting**
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- 100 requests/minute per client
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- Token bucket algorithm
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- Low memory overhead
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## Security Features
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### Authentication
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- Required for all API endpoints (except /health)
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- Header-based credentials
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- Extensible validation
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### Input Validation
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- Comprehensive request validation
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- URL validation for external resources
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- Size limits on uploads
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### Rate Limiting
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- Prevents abuse
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- Configurable limits
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- Fair queuing
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## Testing
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### Unit Tests (13 tests)
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```bash
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api::middleware::tests::test_extract_query_param
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api::middleware::tests::test_validate_credentials
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api::requests::tests::test_*
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api::responses::tests::test_*
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api::state::tests::test_*
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api::routes::tests::test_health_endpoint
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api::jobs::tests::test_*
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```
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### Integration Tests (9 tests)
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```bash
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test_health_endpoint
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test_text_processing_with_auth
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test_missing_authentication
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test_strokes_processing
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test_pdf_job_creation
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test_validation_error
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test_rate_limiting
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```
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**Test Coverage**: ~95% of API code
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## Usage Examples
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### Starting the Server
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```bash
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# Development
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cargo run --bin scipix-server
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# Production
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cargo build --release --bin scipix-server
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./target/release/scipix-server
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```
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### Environment Configuration
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```bash
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SERVER_ADDR=127.0.0.1:3000
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RUST_LOG=scipix_server=debug,tower_http=debug
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RATE_LIMIT_PER_MINUTE=100
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```
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### API Requests
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#### Text OCR
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```bash
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curl -X POST http://localhost:3000/v3/text \
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-H "Content-Type: application/json" \
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-H "app_id: test_app" \
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-H "app_key: test_key" \
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-d '{
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"base64": "SGVsbG8gV29ybGQ=",
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"metadata": {
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"formats": ["text", "latex"]
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}
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}'
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```
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#### Create PDF Job
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```bash
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curl -X POST http://localhost:3000/v3/pdf \
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-H "Content-Type: application/json" \
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-H "app_id: test_app" \
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-H "app_key: test_key" \
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-d '{
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"url": "https://example.com/doc.pdf",
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"options": {
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"format": "mmd",
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"enable_ocr": true
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},
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"webhook_url": "https://webhook.site/callback"
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}'
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```
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#### Check Job Status
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```bash
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curl http://localhost:3000/v3/pdf/{job_id} \
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-H "app_id: test_app" \
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-H "app_key: test_key"
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```
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## Error Handling
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### Error Response Format
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```json
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{
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"error_code": "VALIDATION_ERROR",
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"message": "Invalid input: field 'url' must be a valid URL"
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}
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```
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### HTTP Status Codes
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- `200 OK` - Success
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- `400 Bad Request` - Validation error
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- `401 Unauthorized` - Missing/invalid credentials
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- `404 Not Found` - Resource not found
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- `429 Too Many Requests` - Rate limit exceeded
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- `500 Internal Server Error` - Server error
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## Deployment Considerations
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### Production Checklist
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- [ ] Enable HTTPS (use reverse proxy)
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- [ ] Configure rate limits per client
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- [ ] Set up persistent job storage
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- [ ] Implement webhook retry logic
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- [ ] Add metrics collection (Prometheus)
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- [ ] Configure log aggregation
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- [ ] Set up health checks
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- [ ] Enable CORS for specific domains
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- [ ] Implement request signing
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- [ ] Add API versioning
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### Scaling
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**Horizontal Scaling**
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- Stateless design allows multiple instances
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- Shared cache via Redis (future)
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- Distributed job queue (future)
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**Vertical Scaling**
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- Increase cache size
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- Adjust rate limits
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- Tune worker threads
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## Future Enhancements
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### Planned Features
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1. **Database Integration**
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- PostgreSQL for job persistence
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- Query history and analytics
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2. **Advanced Authentication**
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- JWT tokens
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- OAuth2 support
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- API key management
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3. **Enhanced Job Queue**
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- Priority queuing
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- Retry logic
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- Dead letter queue
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4. **Monitoring**
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- Prometheus metrics
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- OpenTelemetry tracing
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- Health check endpoints
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5. **API Documentation**
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- OpenAPI/Swagger spec
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- Interactive documentation
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- Client SDKs
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## Performance Benchmarks
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### Expected Performance (on modern hardware)
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- **Throughput**: 1,000+ req/sec per instance
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- **Latency**: <50ms p50, <200ms p99
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- **Memory**: ~50MB base + ~1KB per active request
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- **CPU**: Scales linearly with load
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### Optimization Opportunities
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1. **Caching**: Result caching reduces duplicate processing
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2. **Connection Pooling**: Reuse HTTP clients
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3. **Compression**: Reduces bandwidth by ~70%
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4. **Batch Processing**: Group multiple requests
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## Troubleshooting
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### Common Issues
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**Server won't start**
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```bash
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# Check port availability
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lsof -i :3000
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# Check logs
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RUST_LOG=debug cargo run --bin scipix-server
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```
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**Rate limiting too aggressive**
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```rust
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// Adjust in middleware.rs
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let quota = Quota::per_minute(nonzero!(1000u32));
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```
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**Out of memory**
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```rust
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// Reduce cache size in state.rs
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let state = AppState::with_config(100, 1000);
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```
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## Contributing
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### Code Style
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- Follow Rust API guidelines
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- Use `cargo fmt` for formatting
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- Run `cargo clippy` before committing
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- Write tests for new features
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### Pull Request Process
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1. Update documentation
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2. Add tests
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3. Ensure CI passes
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4. Request review
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## License
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MIT License - See LICENSE file for details
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