- Changed from cross-platform testing to Debian stable only - Updated prerequisites to Debian stable test environment - Renamed section from Cross-Platform Compatibility to Debian Stable Compatibility - Removed Windows, macOS, CentOS, and Ubuntu references - Removed AMD ROCm and Apple Silicon GPU support - Removed browser compatibility testing - Updated CI/CD workflow paths from .github to .gitea - Updated verification checklist and troubleshooting section
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description
| description |
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| Quality Assurance Workflow for AITBC Platform |
Quality Assurance Workflow
This workflow covers comprehensive testing and quality assurance for the AITBC platform.
Prerequisites
- Test environment matching production (Debian stable)
- Test data and fixtures
- Load testing tools (k6, locust, or similar)
- Security testing tools (OWASP ZAP, Burp Suite)
- CI/CD pipeline with test automation
Steps
1. End-to-End Testing of All Components
-
Define test scenarios
- User registration and wallet creation
- Job submission and processing
- Payment and receipt generation
- Miner registration and operation
- Agent communication
- Blockchain transactions
- API interactions
-
Create test suite
- File:
tests/e2e/test_complete_system.py - Use test frameworks (pytest, playwright)
- Include setup and teardown procedures
- Mock external dependencies when needed
- File:
-
Test individual components
- Blockchain Node: Block creation, transaction processing, consensus
- Coordinator API: Job submission, matching, payments
- Wallet Daemon: Key management, transaction signing
- GPU Miner: Job processing, GPU utilization
- Agent Daemon: Agent communication, task execution
- Exchange: Trading, order matching
-
Test component integration
- Test data flow between components
- Verify API contracts
- Test error handling across components
- Validate state synchronization
-
Automate E2E tests
- Integrate with CI/CD pipeline
- Run on every PR
- Schedule nightly runs
- Generate test reports
2. Load Testing for Production Readiness
-
Define load testing scenarios
- Normal traffic patterns
- Peak traffic patterns
- Stress testing (beyond expected load)
- Sustained load testing
-
Set up load testing tools
- Install k6 or locust
- Configure test scenarios
- Set up monitoring during tests
- Configure alerting thresholds
-
Create load test scripts
- File:
tests/load/test_api_load.py - Define user behavior patterns
- Configure request rates
- Set up test data
- Define success criteria
- File:
-
Test individual services
- Coordinator API: Request rate limits, response times
- Blockchain Node: Block processing rate, transaction throughput
- Exchange: Order processing rate, matching speed
- Marketplace: Listing/browsing performance
-
Test system under load
- Run load tests on staging environment
- Monitor resource usage (CPU, memory, disk, network)
- Identify bottlenecks
- Test auto-scaling (if applicable)
-
Analyze results
- Document performance baselines
- Identify performance degradation points
- Create optimization plans
- Define SLA targets
3. Debian Stable Compatibility Validation
-
Define target platform
- Operating System: Debian stable (bookworm)
- Python Versions: 3.13, 3.14
- GPU Hardware: NVIDIA (various generations with CUDA)
-
Set up test environment
- Debian stable virtual machine
- Physical hardware for GPU testing
- Containerized environments
-
Test Python compatibility
- Test on Python 3.13 and 3.14
- Verify dependency compatibility
- Test with pip package manager
- Check for deprecated features
-
Test OS compatibility
- Install and run on Debian stable
- Verify service startup
- Test systemd services
- Verify package dependencies
-
Test GPU compatibility
- Test with NVIDIA GPUs (CUDA)
- Test with various GPU generations
- Verify GPU detection and utilization
- Test CUDA toolkit compatibility
4. Disaster Recovery Procedure Testing
-
Define disaster scenarios
- Database corruption
- Service failure
- Network partition
- Data center outage
- Security breach
- Ransomware attack
-
Create backup procedures
- Database backup strategy
- Configuration backup
- Code repository backup
- Blockchain state backup
- Wallet key backup
-
Test backup restoration
- Restore database from backup
- Verify data integrity
- Test service recovery
- Measure recovery time
- Document recovery procedures
-
Test failover mechanisms
- Test service failover
- Test database failover
- Test network failover
- Verify automatic recovery
- Measure failover time
-
Create disaster recovery plan
- File:
docs/operations/disaster-recovery.md - Include contact information
- Define escalation procedures
- Document recovery steps
- Include communication plan
- File:
-
Conduct disaster recovery drills
- Schedule regular drills
- Test different scenarios
- Document lessons learned
- Update procedures based on findings
5. Security Penetration Testing
-
Define testing scope
- Web applications (coordinator API, exchange, marketplace)
- APIs (REST, WebSocket)
- Smart contracts
- Network infrastructure
- Authentication and authorization
-
Set up security testing tools
- OWASP ZAP (web application security)
- Burp Suite (web application security)
- Nmap (network scanning)
- Nikto (web server scanning)
- SQLMap (SQL injection testing)
-
Conduct vulnerability scanning
- Automated vulnerability scans
- Dependency vulnerability checks (Snyk, Dependabot)
- Secret scanning (GitGuardian, truffleHog)
- Container scanning (Trivy, Clair)
-
Manual penetration testing
- Test authentication bypass
- Test authorization bypass
- Test input validation
- Test session management
- Test API security
- Test smart contract vulnerabilities
-
Test common vulnerabilities
- OWASP Top 10 (injection, broken auth, XSS, etc.)
- CWE/SANS Top 25
- Smart contract vulnerabilities (reentrancy, overflow, etc.)
- Blockchain-specific vulnerabilities
-
Document findings
- File:
docs/security/penetration-test-report.md - Categorize by severity
- Include proof of concept
- Provide remediation steps
- Track remediation progress
- File:
-
Remediate vulnerabilities
- Fix Critical and High findings
- Add security tests to CI/CD
- Implement security best practices
- Conduct re-testing
Quality Metrics
1. Test Coverage
- Unit test coverage: >80%
- Integration test coverage: >70%
- E2E test coverage: >60%
- Code coverage tracked in CI/CD
2. Performance Metrics
- API response time: <200ms (p95)
- Block processing time: <1s
- Job processing time: <5s
- System uptime: >99.9%
3. Security Metrics
- Critical vulnerabilities: 0
- High vulnerabilities: 0
- Medium vulnerabilities: <5
- Dependency vulnerabilities: 0 (Critical/High)
4. Quality Metrics
- Bug escape rate: <5%
- Test flakiness: <2%
- Documentation coverage: >90%
- Code review coverage: 100%
Verification
- E2E test suite complete and passing
- Load testing completed and baselines defined
- Debian stable testing completed
- Disaster recovery procedures tested
- Security penetration testing completed
- All Critical/High vulnerabilities remediated
- Quality metrics meet targets
- CI/CD pipeline includes all tests
- Test reports generated and reviewed
- Quality assurance process documented
Troubleshooting
- E2E tests flaky: Review test dependencies, add proper waits, isolate tests, use test fixtures
- Load tests fail: Check resource limits, verify test environment, optimize code, scale infrastructure
- Debian stable tests fail: Check Debian-specific code, verify dependencies, test on actual Debian system
- Disaster recovery fails: Verify backup integrity, test restoration procedures, check documentation
- Security tests find vulnerabilities: Prioritize by severity, implement fixes, re-test, document lessons
Related Files
tests/e2e/tests/load/tests/security/tests/integration/docs/operations/disaster-recovery.mddocs/security/penetration-test-report.md.gitea/workflows/test.yml.gitea/workflows/security-scan.yml