Registro estructurado para aplicaciones en producción

// ❌ Unstructured logging — text you can't reliably parse
console.log('User login failed for user@example.com from IP 192.168.1.1');
console.log(`Order #${orderId} processed in ${duration}ms`);
console.log('Cache miss for key: user:123:profile');
 
// How do you search for "all login failures from IP 192.168.1.x"?
// How do you graph order processing time over the last hour?
// How do you alert when cache miss rate exceeds 50%?
 
// ✅ Structured logging — machine-parseable JSON
logger.warn('User login failed', {
  event: 'auth.login_failed',
  email: 'u***@example.com', // Masked sensitive data
  ip: '192.168.1.1',
  reason: 'invalid_password',
  attemptCount: 3,
});
 
logger.info('Order processed', {
  event: 'order.processed',
  orderId: 'ord-abc123',
  durationMs: 247,
  itemCount: 5,
  totalAmount: 129.99,
});
 
// Now: search `event:auth.login_failed AND ip:192.168.1.*`
// Now: graph avg(durationMs) WHERE event:order.processed GROUP BY 1m
// Now: alert when count(event:cache.miss) / count(event:cache.*) > 0.5

// Using Pino — fast JSON logger
import pino from 'pino';
 
const logger = pino({
  level: process.env.LOG_LEVEL || 'info',
  formatters: {
    level: (label: string) => ({ level: label }),
  },
  timestamp: pino.stdTimeFunctions.isoTime,
  base: {
    service: 'payment-service',
    version: process.env.APP_VERSION || 'unknown',
    environment: process.env.NODE_ENV || 'development',
  },
});
 
// Output:
// {
//   "level": "info",
//   "time": "2022-01-05T14:30:00.000Z",
//   "service": "payment-service",
//   "version": "2.4.1",
//   "environment": "production",
//   "msg": "Order processed",
//   "orderId": "ord-abc123",
//   "durationMs": 247
// }

// ❌ Creating logger instances everywhere with inconsistent config
const log1 = pino({ level: 'debug' });        // Different level
const log2 = pino({ level: 'info' });          // Different level
const log3 = console;                           // Not structured at all
 
// ✅ Single logger factory with consistent configuration
// src/lib/logger.ts
import pino from 'pino';
 
export function createLogger(module: string) {
  return pino({
    level: process.env.LOG_LEVEL || 'info',
    timestamp: pino.stdTimeFunctions.isoTime,
    base: {
      service: process.env.SERVICE_NAME || 'app',
      module,
    },
  });
}
 
// Usage in any file:
// import { createLogger } from './lib/logger';
// const logger = createLogger('payment-handler');

import { AsyncLocalStorage } from 'async_hooks';
import pino from 'pino';
 
interface RequestContext {
  requestId: string;
  userId?: string;
  traceId: string;
  spanId: string;
}
 
const contextStorage = new AsyncLocalStorage<RequestContext>();
 
// Child logger that automatically includes request context
function getLogger() {
  const baseLogger = pino({ level: 'info' });
  const context = contextStorage.getStore();
 
  if (context) {
    return baseLogger.child({
      requestId: context.requestId,
      userId: context.userId,
      traceId: context.traceId,
      spanId: context.spanId,
    });
  }
 
  return baseLogger;
}
 
// Middleware: set context for each request
function requestContextMiddleware(req: any, res: any, next: () => void) {
  const context: RequestContext = {
    requestId: req.headers['x-request-id'] || crypto.randomUUID(),
    userId: req.user?.id,
    traceId: req.headers['x-trace-id'] || crypto.randomUUID(),
    spanId: crypto.randomUUID(),
  };
 
  contextStorage.run(context, () => {
    next();
  });
}
 
// Now every log line in the request lifecycle includes requestId and traceId
// Deep in a service call:
function processPayment(orderId: string) {
  const logger = getLogger();
  logger.info({ orderId, step: 'payment.start' }, 'Starting payment processing');
  // Output includes requestId, userId, traceId automatically
}

// Log level guidelines with examples
const LOG_LEVEL_GUIDE = {
  fatal: {
    description: 'Application cannot continue — process will exit',
    examples: [
      'Database connection pool exhausted, no recovery possible',
      'Required environment variable missing at startup',
      'Unrecoverable corruption in critical data',
    ],
    action: 'Page on-call immediately, investigate within minutes',
  },
  error: {
    description: 'Operation failed — requires attention but app continues',
    examples: [
      'Payment processing failed for a specific order',
      'Third-party API returned 500 after retries exhausted',
      'Database query failed with unexpected error',
    ],
    action: 'Aggregate and alert if error rate exceeds threshold',
  },
  warn: {
    description: 'Unexpected condition — not a failure but worth investigating',
    examples: [
      'Request took longer than expected (>2s) but succeeded',
      'Cache miss rate above normal threshold',
      'Deprecated API endpoint still receiving traffic',
    ],
    action: 'Review periodically, investigate if frequency increases',
  },
  info: {
    description: 'Significant business events — the story of what happened',
    examples: [
      'User created an account',
      'Order placed and payment confirmed',
      'Deployment completed successfully',
    ],
    action: 'Always on in production — the primary audit trail',
  },
  debug: {
    description: 'Detailed technical information for troubleshooting',
    examples: [
      'SQL query text and execution time',
      'Cache hit/miss for specific keys',
      'HTTP request/response details to external services',
    ],
    action: 'Off in production by default — enable temporarily to diagnose issues',
  },
} as const;

// ❌ Logging everything at the same level
logger.info('Starting request');
logger.info('Database query failed'); // This should be error!
logger.info('Cache key not found');   // This is debug at most
 
// ✅ Consistent level usage
logger.info({ event: 'request.start', method: 'POST', path: '/orders' }, 'Request received');
logger.error({ event: 'db.query_failed', query: 'SELECT...', err: error.message }, 'Database query failed');
logger.debug({ event: 'cache.miss', key: 'user:123' }, 'Cache miss');

// Sensitive field masking
const SENSITIVE_FIELDS = new Set([
  'password', 'token', 'accessToken', 'refreshToken',
  'authorization', 'cookie', 'creditCard', 'ssn',
  'secret', 'apiKey',
]);
 
function maskSensitiveData(obj: Record<string, unknown>): Record<string, unknown> {
  const masked: Record<string, unknown> = {};
 
  for (const [key, value] of Object.entries(obj)) {
    if (SENSITIVE_FIELDS.has(key.toLowerCase())) {
      masked[key] = '[REDACTED]';
    } else if (typeof value === 'object' && value !== null) {
      masked[key] = maskSensitiveData(value as Record<string, unknown>);
    } else if (typeof value === 'string' && key.toLowerCase().includes('email')) {
      // Partially mask email
      const [local, domain] = value.split('@');
      masked[key] = `${local[0]}***@${domain}`;
    } else {
      masked[key] = value;
    }
  }
 
  return masked;
}
 
// Pino serializer for automatic masking
const logger = pino({
  serializers: {
    req: (req) => ({
      method: req.method,
      url: req.url,
      headers: maskSensitiveData(req.headers),
    }),
  },
});