CAPP is a Rust framework for building distributed task processing systems, with a particular focus on web crawlers. The codebase demonstrates strong Rust practices and a well-thought-out architecture.
-
Task Queue System
- Multiple backend implementations (Redis, MongoDB, Postgres, In-Memory)
- Generic task handling with serialization support
- Dead Letter Queue (DLQ) for failed tasks
- Round-robin task distribution capability
-
Worker Management
- Concurrent worker execution with configurable limits
- Graceful shutdown handling
- Per-worker statistics tracking
- Task retry mechanism with configurable policies
-
Configuration System
- YAML-based configuration
- Proxy support with round-robin and random selection
- Environment variable integration
- Flexible HTTP client configuration
-
Builder Pattern
- Effectively used for WorkerOptions and WorkersManagerOptions
- Clean configuration initialization
- Clear default values
-
Trait-based Abstraction
TaskQueue
trait for storage backendsComputation
trait for task processingTaskSerializer
for data serialization
-
Error Handling
- Custom error types with thiserror
- Proper error propagation
- Contextual error messages
-
Modularity
- Clean separation between components
- Feature flags for optional components
- Well-defined interfaces
-
Concurrency Control
- Proper use of tokio for async operations
- Thread-safe shared state handling
- Graceful shutdown mechanisms
-
Testing
- Comprehensive test coverage
- Integration tests for each backend
- Mock implementations for testing
-
Documentation
- While generally good, some public APIs lack detailed examples
- More inline documentation for complex algorithms would be helpful
- Consider adding architecture diagrams
-
Error Handling Enhancements
// Current: pub enum TaskQueueError { QueueError(String), SerdeError(String), // ... } // Suggestion: Add more context pub enum TaskQueueError { QueueError { message: String, context: String }, SerdeError { message: String, data_type: String }, // ... }