Testing Framework
Overview
The Mina Rust node testing infrastructure provides comprehensive testing capabilities for blockchain functionality. The framework is designed around scenario-based testing with deterministic replay capabilities, multi-node orchestration, and cross-implementation compatibility testing.
Testing Architecture
Core Design Principles
- Scenario-Based Testing: Tests are structured as scenarios - sequences of steps that can be recorded, saved, and replayed deterministically
- State Machine Architecture: Follows the Redux-style pattern used throughout the Mina Rust node
- Multi-Implementation Support: Tests both Rust (the Mina Rust node) and OCaml (original Mina) nodes
- Deterministic Replay: All tests can be replayed exactly using recorded scenarios
Component Overview
The testing framework consists of several specialized testing areas:
- Unit Tests: Basic component and function testing
- Scenario Tests: Integration testing with network debugger
- Ledger Tests: Comprehensive ledger functionality testing
- P2P Tests: Peer-to-peer networking validation
- OCaml Node Tests: Cross-implementation compatibility
Development Workflow
Adding New Tests
- Determine test type: Choose the appropriate testing category
- Follow existing patterns: Use existing tests as templates
- Document purpose: Clear documentation of what is being tested
- Integration: Ensure tests run in CI/CD pipeline
Debugging Test Failures
- Check logs: Review detailed test output and node logs
- Use network debugger: For scenario and P2P test issues
- Reproduce locally: Run failing tests in local environment
- State analysis: Examine node state when tests fail
Performance Considerations
- Resource management: Monitor memory and CPU usage during tests
- Timeout handling: Set appropriate timeouts for test conditions
- Parallel execution: Use cargo-nextest for faster test execution
- Cleanup: Ensure proper resource cleanup after tests
Advanced Features
Deterministic Testing
The framework provides deterministic test execution through:
- Time control: Precise control over time progression in tests
- State recording: Capture exact state transitions
- Replay capability: Reproduce exact test scenarios
- Invariant checking: Continuous validation of system properties
Multi-Node Orchestration
Support for complex multi-node scenarios:
- Cluster management: Coordinate multiple node instances
- Synchronization: Ensure proper ordering of operations
- Network simulation: Control network conditions and failures
- Cross-implementation: Mix Rust and OCaml nodes in same tests
Network Debugging
Integration with network debugger provides:
- Connection inspection: Real-time network monitoring
- Message tracing: Follow messages through the network
- Performance analysis: Bandwidth and latency measurements
- Failure diagnosis: Debug network-related issues
Best Practices
Test Design
- Start simple: Begin with unit tests, build up to integration tests
- Test incrementally: Build complex scenarios from simpler components
- Use appropriate tools: Choose right test type for the functionality
- Handle edge cases: Include failure scenarios and boundary conditions
Maintenance
- Regular updates: Keep tests updated with code changes
- Performance monitoring: Track test execution times
- Flaky test management: Identify and fix non-deterministic failures
- Documentation: Maintain current test documentation
CI/CD Integration
Tests are integrated into the continuous integration pipeline:
- Automated execution: Tests run on every pull request
- Multiple platforms: Testing across different operating systems
- Container isolation: Each test runs in clean environment
- Artifact collection: Test results and logs archived for analysis
Related Documentation
- Getting Started: Basic development setup including testing
- Architecture: Overall system architecture that tests validate
- P2P Networking: Network protocols tested by P2P scenarios