This document outlines the error handling strategies, patterns, and best practices implemented in the Dynamic App Builder application.
- Error Handling Architecture
- Error Types and Categories
- Error Boundary System
- Logging and Monitoring
- Recovery Strategies
- User Experience
- Development Guidelines
- Testing Error Scenarios
-
Error Boundary (
src/utils/errorBoundary.js)- Catches and handles JavaScript errors
- Provides recovery mechanisms
- Shows user-friendly error messages
-
Logger (
src/utils/logger.js)- Structured logging with correlation IDs
- Performance tracking
- Security event logging
-
Circuit Breaker (
src/utils/circuitBreaker.js)- Prevents cascading failures
- Automatic fallback mechanisms
- Service health monitoring
-
Rate Limiter (
src/utils/rateLimiter.js)- Prevents resource exhaustion
- API call protection
- User action throttling
Error Occurs → Error Boundary → Classification → Recovery Attempt → User Notification → Logging
Characteristics:
- Connection timeouts
- DNS resolution failures
- API unavailability
- Rate limiting responses
Handling Strategy:
// Automatic retry with exponential backoff
// Circuit breaker activation
// Offline mode fallback
// User notification with retry optionsRecovery Methods:
- Retry with backoff
- Cache fallback
- Offline queue
- Alternative endpoints
Characteristics:
- Connection failures
- Query timeouts
- Constraint violations
- Schema mismatches
Handling Strategy:
// Connection pool recovery
// Query optimization
// Data validation
// Schema migration supportRecovery Methods:
- Connection retry
- Transaction rollback
- Schema synchronization
- Data repair utilities
Characteristics:
- DOM manipulation failures
- Component lifecycle errors
- State corruption
- Memory leaks
Handling Strategy:
// Component isolation
// State reset
// Memory cleanup
// Graceful degradationRecovery Methods:
- Component reinitialization
- State restoration
- DOM cleanup
- Fallback rendering
Characteristics:
- Authentication failures
- Service unavailability
- Rate limiting
- Invalid responses
Handling Strategy:
// Token refresh
// Service health checks
// Fallback services
// Cached responsesRecovery Methods:
- Token renewal
- Service switching
- Cache utilization
- Request queuing
Characteristics:
- Permission denied
- CORS violations
- CSP violations
- Authentication expiry
Handling Strategy:
// Immediate security logging
// User session management
// Permission re-validation
// Secure fallbacksRecovery Methods:
- Re-authentication
- Permission refresh
- Secure mode activation
- Session restoration
// Initialize error boundary
const errorBoundary = new ErrorBoundary({
fallbackUI: createCustomFallback,
onError: handleError,
enableRecovery: true,
maxRetries: 3
});
// Wrap functions
const safeFunction = errorBoundary.wrap(riskyFunction);
// Wrap DOM elements
const componentId = errorBoundary.wrapElement(element, context);The error boundary automatically classifies errors:
- Critical: Security errors, system failures
- Error: Functional failures, data corruption
- Warning: Network issues, temporary failures
-
Automatic Retry
- Exponential backoff
- Maximum retry limits
- Context-aware delays
-
State Recovery
- Component reinitialization
- Data restoration
- Cache clearing
-
Fallback Modes
- Offline functionality
- Cached data usage
- Simplified interfaces
// Show error with recovery options
errorBoundary.showErrorUI({
error: error,
context: { component: 'DatabaseManager' },
recoveryOptions: ['retry', 'reload', 'report']
});// Use correlation IDs for request tracking
logger.setCorrelationId();
// Log with context
logger.error('Database connection failed', {
database: 'users',
connectionPool: 'primary',
retryAttempt: 3
});
// Security events
logger.logSecurityEvent('unauthorized_access', {
endpoint: '/api/admin',
userAgent: request.headers['user-agent']
});// Track operation performance
const startTime = Date.now();
try {
await performOperation();
logger.logPerformance('operation_success', Date.now() - startTime);
} catch (error) {
logger.logPerformance('operation_failure', Date.now() - startTime, { error });
}Track key metrics:
- Error rates by category
- Recovery success rates
- Performance degradation
- User impact assessment
async function recoverFromNetworkError(errorInfo) {
// Check connectivity
if (!navigator.onLine) {
await waitForOnline();
}
// Retry with backoff
for (let i = 0; i < MAX_RETRIES; i++) {
try {
await retryOperation();
return true;
} catch (error) {
await delay(Math.pow(2, i) * 1000);
}
}
return false;
}async function recoverFromDatabaseError(errorInfo) {
// Check connection
if (await testConnection()) {
return true;
}
// Attempt reconnection
await reconnectDatabase();
// Verify schema
await validateSchema();
return true;
}function recoverComponentState(componentId) {
const component = components.get(componentId);
// Reset to initial state
component.state = getInitialState();
// Clear event handlers
clearEventHandlers(component);
// Re-initialize
initializeComponent(component);
}Design principles:
- Clear and Actionable: Users know what happened and what to do
- Non-Technical: Avoid technical jargon
- Helpful: Provide next steps or alternatives
- Reassuring: Don't blame the user
const errorMessages = {
network: "Connection issue detected. Checking your internet connection...",
database: "Having trouble accessing your data. This is usually temporary.",
api: "Service temporarily unavailable. We're working to restore it.",
generic: "Something unexpected happened. Don't worry, we're on it!"
};// Basic error message
<div class="error-message">
Unable to save changes. Please try again.
<!-- Advanced details for developers -->
<details class="error-details">
<summary>Technical Details</summary>
<pre>Error: ValidationError
Message: Required field 'email' is missing
Stack: ...</pre>
</details>
</div>Provide clear recovery options:
- Try Again: For transient errors
- Reload Page: For state corruption
- Go Back: For navigation errors
- Contact Support: For persistent issues
- All async operations wrapped in try-catch
- Network requests have timeout handling
- Database operations include transaction rollback
- User inputs are validated
- Errors are logged with appropriate context
- Recovery mechanisms are tested
- User feedback is provided
async function performAsyncOperation() {
try {
const result = await riskyOperation();
return { success: true, data: result };
} catch (error) {
logger.error('Operation failed', { operation: 'riskyOperation', error });
// Attempt recovery
if (await attemptRecovery(error)) {
return performAsyncOperation(); // Retry
}
return {
success: false,
error: error.message,
recoverable: isRecoverable(error)
};
}
}class ResourceManager {
async withResource(resourceType, operation) {
let resource = null;
try {
resource = await this.acquire(resourceType);
return await operation(resource);
} catch (error) {
await this.handleResourceError(error, resource);
throw error;
} finally {
if (resource) {
await this.release(resource);
}
}
}
}function validateWithContext(data, schema, context) {
try {
validate(data, schema);
return { valid: true };
} catch (error) {
const enrichedError = {
...error,
context: context,
timestamp: Date.now(),
validationSchema: schema.name
};
logger.warn('Validation failed', enrichedError);
return {
valid: false,
errors: error.details,
context: enrichedError
};
}
}Always provide context when logging errors:
// Good: Rich context
logger.error('Database query failed', {
query: 'SELECT * FROM users WHERE...',
database: 'production',
table: 'users',
executionTime: 1500,
connectionPool: 'primary',
userId: currentUser.id
});
// Bad: Minimal context
logger.error('Query failed', error);describe('Error Handling', () => {
it('should recover from network errors', async () => {
// Mock network failure
mockNetworkFailure();
const result = await performNetworkOperation();
expect(result.success).toBe(false);
expect(result.recoverable).toBe(true);
// Verify recovery attempt
expect(mockRetry).toHaveBeenCalled();
});
it('should handle database connection failures', async () => {
mockDatabaseError('connection_timeout');
const dbManager = new DatabaseManager();
const result = await dbManager.query('SELECT * FROM users');
expect(result.error).toBeDefined();
expect(mockReconnect).toHaveBeenCalled();
});
});describe('Error Recovery Integration', () => {
it('should maintain user session during network recovery', async () => {
// Simulate network interruption
await simulateNetworkOutage(5000);
// Verify session persistence
const session = await getSession();
expect(session.isValid).toBe(true);
// Verify automatic retry
const apiResult = await callAPI('/user/profile');
expect(apiResult.success).toBe(true);
});
});-
Network Interruption
- Disconnect network during operation
- Verify offline mode activation
- Reconnect and verify recovery
-
High Load Simulation
- Generate high API request volume
- Verify rate limiting activation
- Check graceful degradation
-
Database Stress
- Simulate connection pool exhaustion
- Verify connection recovery
- Test transaction rollback
-
Memory Pressure
- Simulate low memory conditions
- Verify garbage collection
- Check memory leak prevention
// Network error simulator
window.simulateNetworkError = (duration = 5000) => {
const originalFetch = window.fetch;
window.fetch = () => Promise.reject(new Error('Network unavailable'));
setTimeout(() => {
window.fetch = originalFetch;
}, duration);
};
// Database error simulator
window.simulateDatabaseError = (errorType = 'connection') => {
// Mock database error responses
};- Validate inputs early
- Check preconditions
- Monitor resource usage
- Anticipate failure modes
- Provide meaningful error messages
- Offer recovery options
- Maintain system stability
- Log for debugging
- Implement retry mechanisms
- Use circuit breakers
- Cache when possible
- Provide fallbacks
- Show progress during recovery
- Explain what went wrong
- Provide next steps
- Reassure users
- Monitor error patterns
- Analyze recovery success
- Update error handling
- Document lessons learned
Monitor these key metrics:
- Error Rate: Errors per request/operation
- Recovery Rate: Successful recoveries per error
- Time to Recovery: Average time to resolve errors
- User Impact: Users affected by errors
- Error Distribution: Breakdown by error type
Error Health Dashboard
├── Overall Error Rate: 0.1%
├── Network Errors: 45% (mostly recovered)
├── Database Errors: 25% (connection issues)
├── API Errors: 20% (rate limiting)
├── UI Errors: 10% (rendering issues)
└── Recovery Success Rate: 85%
This comprehensive error handling system ensures that the Dynamic App Builder provides a robust, reliable experience for users while maintaining system stability and providing developers with the tools needed to diagnose and fix issues quickly.