Testing Strategy

Testing Strategy

Backend Testing Priority

1. API Testing

Tools:
  - Postman
  - pytest
  - AWS SAM Local

Coverage Areas:
  - Endpoint functionality
  - Authentication flows
  - Rate limiting
  - Error handling
  - Response formats

Test Types:
  - Unit tests
  - Integration tests
  - Load tests
  - Security tests

2. External Service Integration Tests

Services:
  - Google Search API:
      - Search functionality
      - Result parsing
      - Error handling
      - Rate limit handling
  
  - Google Places API:
      - Location validation
      - Geocoding
      - Address formatting
  
  - Google Calendar API:
      - Event creation
      - Sync operations
      - Update handling
  
  - Auth0:
      - Authentication flows
      - Token validation
      - User management

3. Data Layer Testing

Database:
  - MongoDB Atlas:
      - CRUD operations
      - Index performance
      - Query optimization
      - Schema validation

Cache:
  - Redis:
      - Cache hit/miss
      - Invalidation
      - Performance
      - Consistency

Test Environments

Development

Configuration:
  - Local Lambda functions
  - MongoDB development cluster
  - Redis local instance
  - Mock external APIs

Tools:
  - AWS SAM Local
  - Docker containers
  - Local test runners

Staging

Configuration:
  - AWS Lambda staging
  - MongoDB staging cluster
  - Redis staging instance
  - Test API credentials

Monitoring:
  - CloudWatch metrics
  - Error tracking
  - Performance metrics

Production

Configuration:
  - Production environment
  - Live API integrations
  - Full monitoring
  - Alert systems

Test Automation

CI/CD Pipeline

GitHub Actions:
  Build:
    - Lint code
    - Run unit tests
    - Check coverage
  
  Integration:
    - Deploy to test environment
    - Run integration tests
    - API contract tests
  
  Performance:
    - Load testing
    - Stress testing
    - Endurance testing

Automated Tests

# Example API Test
def test_event_discovery():
    response = client.get("/api/v1/events", {
        "location": "47.6062,-122.3321",
        "radius": 50,
        "types": ["running"]
    })
    
    assert response.status_code == 200
    assert "events" in response.json()
    assert len(response.json()["events"]) > 0

# Example Integration Test
def test_google_api_integration():
    events = event_service.search_events(
        location="Seattle, WA",
        radius=50
    )
    
    assert events is not None
    assert len(events) > 0
    assert all("title" in event for event in events)

Performance Testing

Load Testing

Tools:
  - Artillery
  - k6
  - AWS Lambda test events

Scenarios:
  - Normal load
  - Peak usage
  - Concurrent requests
  - Extended duration

Monitoring

Metrics:
  - Response times
  - Error rates
  - Resource usage
  - API quotas
  - Cache performance

Security Testing

Authentication

Test Cases:
  - Token validation
  - Permission checks
  - Rate limiting
  - Invalid tokens
  - Expired tokens

Authorization

Test Cases:
  - Role-based access
  - Resource permissions
  - API key validation
  - Scope validation

Quality Gates

Code Quality

Requirements:
  - Test coverage > 80%
  - No critical issues
  - All tests passing
  - Performance thresholds met

Release Criteria

Checklist:
  - All tests passed
  - Security scan clear
  - Performance benchmarks met
  - Documentation updated

Monitoring and Alerts

Production Monitoring

Metrics:
  - API response times
  - Error rates
  - Cache hit rates
  - External API performance
  - Database performance

Alerts:
  - Error rate > 1%
  - Response time > 500ms
  - API quota > 80%
  - Cache miss rate > 20%

Logging

Log Levels:
  - ERROR: System errors
  - WARN: Potential issues
  - INFO: Normal operations
  - DEBUG: Detailed operations

Storage:
  - CloudWatch Logs
  - Log retention: 30 days
  - Log analysis tools