# Step 09: Integration and E2E Tests

## Status Reference
- **Current Status**: Pending
- **Dependencies**: Steps 01-08 should be complete
- **Target**: Full system integration testing
- **Expected Coverage Boost**: Final push to 100%

## Objectives
1. Create end-to-end tests for complete workflows
2. Test integration between all components
3. Verify real-world usage scenarios
4. Test with actual frameworks (Django, Flask)
5. Performance and stress testing
6. Ensure no regression in existing functionality

## Integration Test Scenarios

### 1. Complete Logging Workflow Tests
```python
class TestCompleteLoggingWorkflow:
    - test_logger_initialization_to_output
    - test_business_event_tracking_flow
    - test_error_handling_workflow
    - test_metric_collection_to_report
    - test_context_enrichment_flow
```

### 2. Framework Integration E2E
```python
class TestFrameworkIntegrationE2E:
    - test_django_request_response_cycle
    - test_flask_application_logging
    - test_fastapi_async_logging
    - test_celery_task_logging
    - test_pytest_test_logging
```

### 3. Business Intelligence Flow
```python
class TestBusinessIntelligenceE2E:
    - test_revenue_tracking_workflow
    - test_user_analytics_pipeline
    - test_performance_monitoring_flow
    - test_error_rate_tracking
    - test_custom_metrics_workflow
```

### 4. Security and Compliance E2E
```python
class TestSecurityComplianceE2E:
    - test_pii_sanitization_workflow
    - test_gdpr_compliance_flow
    - test_hipaa_logging_requirements
    - test_audit_trail_generation
    - test_security_event_tracking
```

## Real-World Scenario Tests

### E-Commerce Application Scenario
```python
def test_ecommerce_logging_scenario():
    """Test complete e-commerce transaction logging"""
    logger = ProfessionalStormLogger("ecommerce")
    
    # User browsing
    with logger.context(user_id="12345", session_id="abc"):
        logger.info("User viewing product", extra={"product_id": "PROD-001"})
        
        # Add to cart
        logger.track_business_event("add_to_cart", {
            "product_id": "PROD-001",
            "price": 99.99,
            "quantity": 1
        })
        
        # Checkout process
        with logger.measure_performance("checkout_process"):
            # Payment processing
            try:
                process_payment()
                logger.log_business_success("payment_processed", 
                                          amount=99.99)
            except PaymentError as e:
                logger.error("Payment failed", exc_info=True)
                return
        
        # Order completion
        logger.track_business_event("order_completed", {
            "order_id": "ORD-12345",
            "total": 99.99,
            "items": 1
        })
    
    # Generate report
    report = logger.generate_business_report()
    assert report["revenue"] == 99.99
    assert report["conversions"] == 1
```

### API Service Scenario
```python
def test_api_service_logging():
    """Test API service with rate limiting and monitoring"""
    logger = ProfessionalStormLogger("api_service")
    
    # API endpoint handling
    @logger.measure_performance("api_endpoint")
    def handle_api_request(request):
        # Rate limiting check
        if not check_rate_limit(request.ip):
            logger.warning("Rate limit exceeded", 
                         extra={"ip": request.ip})
            return 429
        
        # Process request
        try:
            result = process_request(request)
            logger.info("API request successful",
                       extra={"endpoint": request.path,
                             "method": request.method})
            return result
        except ValidationError as e:
            logger.error("Validation failed", 
                        extra={"errors": e.errors})
            return 400
```

### Django Application Scenario
```python
@pytest.mark.django_db
def test_django_application_flow():
    """Test complete Django application logging"""
    from django.test import Client
    
    client = Client()
    
    # User registration
    response = client.post('/register/', {
        'username': 'testuser',
        'email': 'test@example.com',
        'password': 'secure123'
    })
    
    # Check logs
    assert_log_contains("User registration", level="INFO")
    assert_log_contains("test@example.com", sanitized="[EMAIL]")
    
    # User login
    response = client.post('/login/', {
        'username': 'testuser',
        'password': 'secure123'
    })
    
    # Check session tracking
    assert_log_contains("User login successful", 
                       context={"user": "testuser"})
```

## Performance and Stress Tests

### High Volume Logging Test
```python
def test_high_volume_logging():
    """Test logger performance under high load"""
    logger = StormLogger("performance_test")
    
    start_time = time.time()
    
    # Log 100,000 messages
    for i in range(100_000):
        logger.info(f"Message {i}", 
                   extra={"index": i, "batch": i // 1000})
    
    duration = time.time() - start_time
    
    # Should complete in reasonable time
    assert duration < 10.0  # 10 seconds max
    
    # Check no messages lost
    metrics = logger.get_metrics()
    assert metrics["total_messages"] == 100_000
```

### Concurrent Logging Test
```python
def test_concurrent_logging():
    """Test thread safety with concurrent logging"""
    logger = StormLogger("concurrent_test")
    errors = []
    
    def log_worker(worker_id):
        try:
            for i in range(1000):
                logger.info(f"Worker {worker_id} message {i}")
                logger.track_business_event("worker_event", 
                                          {"worker": worker_id})
        except Exception as e:
            errors.append(e)
    
    # Run 50 concurrent workers
    threads = []
    for i in range(50):
        t = Thread(target=log_worker, args=(i,))
        threads.append(t)
        t.start()
    
    for t in threads:
        t.join()
    
    # No errors should occur
    assert len(errors) == 0
    
    # All events should be recorded
    metrics = logger.get_metrics()
    assert metrics["worker_event_count"] == 50_000
```

## Component Integration Tests

### Logger + Console + Formatter Integration
```python
def test_full_stack_integration():
    """Test all components working together"""
    # Initialize with all features
    config = StormLoggerConfig(
        level="DEBUG",
        enable_console=True,
        enable_metrics=True,
        sanitization_level="high",
        console_theme="professional"
    )
    
    logger = ProfessionalStormLogger("integration_test", config)
    
    # Test complete flow
    with logger.context(request_id="123"):
        # Log with formatting
        logger.info("Starting process")
        
        # Track metrics
        with logger.measure_performance("process"):
            time.sleep(0.1)
            
        # Business event
        logger.track_business_event("process_complete", 
                                  {"duration": 0.1})
        
        # Error with sanitization
        logger.error("Failed to process user@example.com")
    
    # Verify all components worked
    assert console_output_contains("Starting process")
    assert metrics_recorded("process_complete")
    assert log_sanitized("user@example.com", "[EMAIL]")
```

## Migration and Compatibility Tests

### Version Migration Test
```python
def test_version_migration():
    """Test upgrading from older Storm Logger versions"""
    # Old configuration format
    old_config = {
        "log_level": "INFO",  # Old key name
        "handlers": ["console", "file"]
    }
    
    # Should handle gracefully
    logger = StormLogger.from_legacy_config(old_config)
    assert logger.level == "INFO"
```

### Framework Version Compatibility
```python
@pytest.mark.parametrize("django_version", ["4.0", "4.1", "4.2", "5.0"])
def test_django_version_compatibility(django_version):
    """Test with different Django versions"""
    with mock_django_version(django_version):
        logger = DjangoStormLogger()
        logger.info("Test message")
        # Should work with all versions
```

## Success Criteria
- All E2E tests passing
- Performance benchmarks met
- No integration issues
- Framework compatibility verified
- Real-world scenarios working
- 100% total coverage achieved

## Test Execution Plan

### Phase 1: Component Integration (30 minutes)
1. Test logger + formatter + console
2. Test logger + metrics + sanitizer
3. Test complete component stack

### Phase 2: Framework Integration (30 minutes)
1. Test Django integration E2E
2. Test Flask integration
3. Test async frameworks

### Phase 3: Performance Tests (15 minutes)
1. Run high volume tests
2. Test concurrent access
3. Measure performance metrics

### Phase 4: Final Validation (15 minutes)
1. Run full test suite
2. Generate coverage report
3. Document any remaining gaps

## Next Steps
1. Create E2E test file
2. Set up test environments
3. Run integration tests
4. Fix any integration issues
5. Run final coverage report
6. Update status.json
7. Move to Step 10 for final validation

## Automation Notes
- Use fixtures for complex setups
- Mock external services
- Use Docker for framework testing
- Capture all outputs for verification
- Ensure cleanup between tests