Best Practices
Overview
Comprehensive guide for implementing jpgx effectively in production environments.
Error Handling
Implementation
typescript
// 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
typescript
// 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
typescript
// 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
typescript
// 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
typescript
// 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