Best Practices

Overview

Comprehensive guide for implementing jpgx effectively in production environments.

Error Handling

Implementation

// Example of robust error handling
try {
  const encoded = encode(data, {
    validateInput: true,
    strictMode: true
  })

  // Process encoded data
  return processEncodedData(encoded)
}
catch (error) {
  if (error instanceof ValidationError) {
    // Handle validation errors
    logger.error('Validation failed:', error.message)
    return handleValidationError(error)
  }

  if (error instanceof EncodingError) {
    // Handle encoding errors
    logger.error('Encoding failed:', error.message)
    return handleEncodingError(error)
  }

  // Handle unexpected errors
  logger.error('Unexpected error:', error)
  throw new UnexpectedError('Failed to process data', { cause: error })
}

Data Validation

Input Validation

// Example of input validation
function validateInput(data: unknown): boolean {
  if (!data)
    return false

  // Type checking
  if (typeof data !== 'object')
    return false

  // Structure validation
  if (!isValidStructure(data))
    return false

  // Content validation
  return validateContent(data)
}

Output Validation

// Example of output validation
function validateOutput(decoded: unknown): boolean {
  // Verify decoded data structure
  if (!isValidDecodedStructure(decoded))
    return false

  // Verify data integrity
  if (!verifyIntegrity(decoded))
    return false

  return true
}

Security Considerations

Data Sanitization

• Validate and sanitize all input data
• Prevent buffer overflow attacks
• Implement proper access controls
• Use secure encoding methods

Rate Limiting

// Example of rate limiting implementation
const rateLimiter = new RateLimiter({
  maxRequests: 100,
  timeWindow: 60000 // 1 minute
})

async function processRequest(data: any) {
  if (!rateLimiter.checkLimit()) {
    throw new RateLimitError('Too many requests')
  }

  return encode(data)
}

Performance Optimization

Caching Strategy

// Example of caching implementation
const cache = new Map<string, any>()

function getCachedResult(key: string) {
  if (cache.has(key)) {
    return cache.get(key)
  }

  const result = processData(key)
  cache.set(key, result)
  return result
}

Resource Management

• Implement proper cleanup
• Monitor memory usage
• Handle large datasets efficiently
• Use appropriate data structures

Type Safety

TypeScript Best Practices

• Use strict mode
• Define proper interfaces
• Implement type guards
• Avoid any types
• Use proper type assertions

Common Pitfalls

Memory Leaks

• Avoid circular references
• Clear unused references
• Implement proper cleanup
• Monitor memory usage

Performance Issues

• Avoid unnecessary encoding/decoding
• Use appropriate data structures
• Implement caching strategies
• Monitor processing times