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chore: move Windsurf workflow plans to .windsurf/plans/ 
- Moved 6 workflow plans from .windsurf/workflows/ to .windsurf/plans/
- Maintains git history with git mv
- Organizes plans in dedicated plans directory
2026-05-09 22:24:25 +02:00

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description
description
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
  • Test data and fixtures
  • Load testing tools (k6, locust, or similar)
  • Cross-platform testing environments
  • Security testing tools (OWASP ZAP, Burp Suite)
  • CI/CD pipeline with test automation

Steps

1. End-to-End Testing of All Components

  1. 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

  2. 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

  3. 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

  4. Test component integration

    • Test data flow between components
    • Verify API contracts
    • Test error handling across components
    • Validate state synchronization

  5. Automate E2E tests

    • Integrate with CI/CD pipeline
    • Run on every PR
    • Schedule nightly runs
    • Generate test reports

2. Load Testing for Production Readiness

  1. Define load testing scenarios

    • Normal traffic patterns
    • Peak traffic patterns
    • Stress testing (beyond expected load)
    • Sustained load testing

  2. Set up load testing tools

    • Install k6 or locust
    • Configure test scenarios
    • Set up monitoring during tests
    • Configure alerting thresholds

  3. 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

  4. 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

  5. Test system under load

    • Run load tests on staging environment
    • Monitor resource usage (CPU, memory, disk, network)
    • Identify bottlenecks
    • Test auto-scaling (if applicable)

  6. Analyze results

    • Document performance baselines
    • Identify performance degradation points
    • Create optimization plans
    • Define SLA targets

3. Cross-Platform Compatibility Validation

  1. Define target platforms

    • Operating Systems: Linux (Ubuntu, Debian, CentOS), Windows 10/11, macOS 11+
    • Python Versions: 3.13, 3.14
    • GPU Hardware: NVIDIA (various generations), AMD (ROCm), Apple Silicon (Metal)
    • Browsers: Chrome, Firefox, Safari, Edge

  2. Set up test environments

    • Virtual machines for each OS
    • Cloud testing services (BrowserStack, Sauce Labs)
    • Physical hardware for GPU testing
    • Containerized environments

  3. Test Python compatibility

    • Test on Python 3.13 and 3.14
    • Verify dependency compatibility
    • Test with different package managers (pip, poetry)
    • Check for deprecated features

  4. Test OS compatibility

    • Install and run on each target OS
    • Verify service startup
    • Test systemd services (Linux)
    • Test Windows services (Windows)
    • Test launchd services (macOS)

  5. Test GPU compatibility

    • Test with NVIDIA GPUs (CUDA)
    • Test with AMD GPUs (ROCm)
    • Test with Apple Silicon (Metal)
    • Test with various GPU generations
    • Verify GPU detection and utilization

  6. Test browser compatibility

    • Test web interfaces on all browsers
    • Verify JavaScript compatibility
    • Test mobile browsers
    • Check responsive design

4. Disaster Recovery Procedure Testing

  1. Define disaster scenarios

    • Database corruption
    • Service failure
    • Network partition
    • Data center outage
    • Security breach
    • Ransomware attack

  2. Create backup procedures

    • Database backup strategy
    • Configuration backup
    • Code repository backup
    • Blockchain state backup
    • Wallet key backup

  3. Test backup restoration

    • Restore database from backup
    • Verify data integrity
    • Test service recovery
    • Measure recovery time
    • Document recovery procedures

  4. Test failover mechanisms

    • Test service failover
    • Test database failover
    • Test network failover
    • Verify automatic recovery
    • Measure failover time

  5. Create disaster recovery plan

    • File: docs/operations/disaster-recovery.md
    • Include contact information
    • Define escalation procedures
    • Document recovery steps
    • Include communication plan

  6. Conduct disaster recovery drills

    • Schedule regular drills
    • Test different scenarios
    • Document lessons learned
    • Update procedures based on findings

5. Security Penetration Testing

  1. Define testing scope

    • Web applications (coordinator API, exchange, marketplace)
    • APIs (REST, WebSocket)
    • Smart contracts
    • Network infrastructure
    • Authentication and authorization

  2. 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)

  3. Conduct vulnerability scanning

    • Automated vulnerability scans
    • Dependency vulnerability checks (Snyk, Dependabot)
    • Secret scanning (GitGuardian, truffleHog)
    • Container scanning (Trivy, Clair)

  4. Manual penetration testing

    • Test authentication bypass
    • Test authorization bypass
    • Test input validation
    • Test session management
    • Test API security
    • Test smart contract vulnerabilities

  5. Test common vulnerabilities

    • OWASP Top 10 (injection, broken auth, XSS, etc.)
    • CWE/SANS Top 25
    • Smart contract vulnerabilities (reentrancy, overflow, etc.)
    • Blockchain-specific vulnerabilities

  6. Document findings

    • File: docs/security/penetration-test-report.md
    • Categorize by severity
    • Include proof of concept
    • Provide remediation steps
    • Track remediation progress

  7. 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
  • Cross-platform testing completed for all targets
  • 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
  • Cross-platform tests fail: Check platform-specific code, verify dependencies, test on actual hardware
  • 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.md
  • docs/security/penetration-test-report.md
  • .github/workflows/test.yml
  • .github/workflows/security-scan.yml