Logging and Profiling

ByteKit provides powerful logging and profiling utilities to help you debug and optimize your applications.

Logger

The Logger class provides structured, leveled logging with support for namespaces, custom transports, and contextual information.

Quick Start

import { createLogger } from 'bytekit';

const logger = createLogger({
  namespace: 'app',
  level: 'debug'
});

logger.debug('Debug message', { userId: 123 });
logger.info('User logged in', { email: 'user@example.com' });
logger.warn('Rate limit approaching', { remaining: 10 });
logger.error('Database connection failed', { host: 'db.example.com' }, error);

Logger Configuration

interface LoggerOptions {
  // Namespace for grouping logs (e.g., "api", "auth")
  namespace?: string;
  
  // Log level: "silent" | "error" | "warn" | "info" | "debug"
  level?: LogLevel;
  
  // Custom transport functions
  transports?: LogTransport[];
  
  // Include timestamp in logs (default: true)
  includeTimestamp?: boolean;
}

Log Levels

Log levels control which messages are displayed:

type LogLevel = "silent" | "error" | "warn" | "info" | "debug";

// Priority (low to high):
// silent (0) - No logs
// error (1)  - Only errors
// warn (2)   - Warnings and errors
// info (3)   - Info, warnings, and errors
// debug (4)  - Everything

Default Levels:

Production: "info"
Development: "debug"

Creating Loggers

// Basic logger
const logger = createLogger();

// Logger with namespace
const apiLogger = createLogger({
  namespace: 'api',
  level: 'debug'
});

// Silent logger (no output)
const silentLogger = Logger.silent();

// Production logger
const prodLogger = createLogger({
  level: 'error',
  includeTimestamp: true
});

Logging Methods

// Debug: Detailed information for debugging
logger.debug('Cache hit', { key: 'user:123', ttl: 3600 });

// Info: General informational messages
logger.info('Server started', { port: 3000, env: 'production' });

// Warn: Warning messages
logger.warn('Deprecated API usage', { endpoint: '/old-api', alternative: '/v2/api' });

// Error: Error messages with optional Error object
logger.error('Payment failed', { orderId: '12345', amount: 99.99 }, error);

Log Entry Structure

interface LogEntry<TContext extends Record<string, unknown>> {
  level: LogLevel;
  message: string;
  namespace?: string;
  timestamp: Date;
  context?: TContext;
  error?: Error;
}

Child Loggers

Create child loggers with nested namespaces:

const appLogger = createLogger({ namespace: 'app' });

// Creates logger with namespace "app:database"
const dbLogger = appLogger.child('database');
dbLogger.info('Connected');
// Output: INFO [app:database] Connected

// Creates logger with namespace "app:api"
const apiLogger = appLogger.child('api');
apiLogger.debug('Request received');
// Output: DEBUG [app:api] Request received

// Nested children: "app:api:auth"
const authLogger = apiLogger.child('auth');
authLogger.info('User authenticated');
// Output: INFO [app:api:auth] User authenticated

Dynamic Log Levels

const logger = createLogger({ level: 'info' });

logger.debug('This will not show');

// Change level at runtime
logger.setLevel('debug');

logger.debug('Now this will show');

Custom Transports

Transports define where logs are sent:

type LogTransport = (entry: LogEntry) => void | Promise<void>;

// File transport
const fileTransport: LogTransport = async (entry) => {
  const logLine = `${entry.timestamp.toISOString()} ${entry.level.toUpperCase()} ${entry.message}\n`;
  await fs.appendFile('app.log', logLine);
};

// HTTP transport (send to logging service)
const httpTransport: LogTransport = async (entry) => {
  await fetch('https://logs.example.com/ingest', {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify(entry)
  });
};

// Logger with multiple transports
const logger = createLogger({
  transports: [fileTransport, httpTransport]
});

Built-in Transports

ByteKit includes console transports optimized for Node.js and browsers:

import { consoleTransportNode, consoleTransportBrowser } from 'bytekit';

// Node.js transport (with ANSI colors)
const logger = createLogger({
  transports: [consoleTransportNode({ includeTimestamp: true })]
});

// Browser transport (with CSS colors)
const browserLogger = createLogger({
  transports: [consoleTransportBrowser({ includeTimestamp: true })]
});

Node.js output:

2024-03-15T10:30:45.123Z ERROR [api] Request failed { status: 500 }

Browser output:

%c2024-03-15T10:30:45.123Z ERROR [api] Request failed color: red

Integration with ApiClient

import { createApiClient, createLogger } from 'bytekit';

const logger = createLogger({
  namespace: 'api',
  level: 'debug'
});

const client = createApiClient({
  baseUrl: 'https://api.example.com',
  logger,
  logHeaders: true
});

// Automatically logs:
// - Request method, URL, headers, body
// - Response status, data
// - Errors with full details

TypeScript Context Types

interface UserContext {
  userId: string;
  email: string;
  role: string;
}

const logger = createLogger<UserContext>({
  namespace: 'auth'
});

// Type-safe context
logger.info('User logged in', {
  userId: '123',
  email: 'user@example.com',
  role: 'admin'
});

Profiler

The Profiler class measures execution time of code blocks:

Quick Start

import { Profiler } from 'bytekit';

const profiler = new Profiler('my-operation');

profiler.start('database-query');
await db.query('SELECT * FROM users');
profiler.end('database-query');

profiler.start('data-processing');
processData(results);
profiler.end('data-processing');

const results = profiler.summary();
console.log(results);
// {
//   "database-query": 45.2,
//   "data-processing": 12.8
// }

Creating a Profiler

// Without namespace
const profiler = new Profiler();

// With namespace (for grouping results)
const apiProfiler = new Profiler('api');
const dbProfiler = new Profiler('database');

Measuring Operations

const profiler = new Profiler('request');

// Start timing
profiler.start('validation');
validateRequest(data);
profiler.end('validation');

profiler.start('database');
const user = await db.users.findOne({ id });
profiler.end('database');

profiler.start('serialization');
const response = JSON.stringify(user);
profiler.end('serialization');

// Get results
const timings = profiler.summary();
console.log(timings);
// {
//   "validation": 1.2,
//   "database": 23.5,
//   "serialization": 0.8
// }

Nested Measurements

const profiler = new Profiler();

profiler.start('total-request');

profiler.start('auth');
authenticateUser(token);
profiler.end('auth');

profiler.start('business-logic');
processBusinessLogic();
profiler.end('business-logic');

profiler.end('total-request');

const results = profiler.summary();
// {
//   "auth": 5.2,
//   "business-logic": 45.8,
//   "total-request": 51.0
// }

Namespaced Results

const apiProfiler = new Profiler('api');
const dbProfiler = new Profiler('db');

apiProfiler.start('request');
// ... api work
apiProfiler.end('request');

dbProfiler.start('query');
// ... database work
dbProfiler.end('query');

apiProfiler.summary();
// { "api": { "request": 23.5 } }

dbProfiler.summary();
// { "db": { "query": 45.2 } }

Performance Monitoring Pattern

class UserService {
  private profiler = new Profiler('UserService');
  
  async getUser(id: string) {
    this.profiler.start('getUser');
    
    this.profiler.start('cache-check');
    const cached = await cache.get(`user:${id}`);
    this.profiler.end('cache-check');
    
    if (cached) {
      this.profiler.end('getUser');
      return cached;
    }
    
    this.profiler.start('db-query');
    const user = await db.users.findOne({ id });
    this.profiler.end('db-query');
    
    this.profiler.start('cache-set');
    await cache.set(`user:${id}`, user, 3600);
    this.profiler.end('cache-set');
    
    this.profiler.end('getUser');
    
    // Log performance data
    const timings = this.profiler.summary();
    logger.debug('User fetch timings', timings);
    
    return user;
  }
}

Integration with Logger

import { createLogger, Profiler } from 'bytekit';

const logger = createLogger({ namespace: 'perf' });
const profiler = new Profiler('api-request');

async function handleRequest(req: Request) {
  profiler.start('total');
  
  profiler.start('parse');
  const body = await req.json();
  profiler.end('parse');
  
  profiler.start('process');
  const result = await processRequest(body);
  profiler.end('process');
  
  profiler.end('total');
  
  const timings = profiler.summary();
  
  // Log performance metrics
  logger.info('Request completed', {
    method: req.method,
    path: req.url,
    timings
  });
  
  return result;
}

Best Practices

1. Use Appropriate Log Levels

// Debug: Detailed diagnostics
logger.debug('Cache miss', { key, ttl });

// Info: Important events
logger.info('User registered', { userId, email });

// Warn: Recoverable issues
logger.warn('Retry attempt 3 of 5', { operation });

// Error: Failures
logger.error('Payment processing failed', { orderId }, error);

2. Include Contextual Information

// Good: Rich context
logger.error('API request failed', {
  url: '/api/users',
  method: 'POST',
  status: 500,
  duration: 234,
  userId: '123'
}, error);

// Bad: Minimal context
logger.error('Request failed', error);

3. Use Namespaces for Organization

const dbLogger = createLogger({ namespace: 'db' });
const apiLogger = createLogger({ namespace: 'api' });
const authLogger = createLogger({ namespace: 'auth' });

// Easy to filter logs by component
dbLogger.info('Query executed');
apiLogger.info('Request received');
authLogger.info('User authenticated');

4. Profile Critical Operations

const profiler = new Profiler('critical-path');

profiler.start('expensive-operation');
try {
  await expensiveOperation();
} finally {
  profiler.end('expensive-operation');
  
  const timings = profiler.summary();
  if (timings['expensive-operation'] > 1000) {
    logger.warn('Slow operation detected', { timings });
  }
}

5. Avoid Logging Sensitive Data

// Good: Redact sensitive fields
logger.info('User login', {
  email: user.email,
  userId: user.id
  // Don't log: password, tokens, credit cards
});

// Bad: Logging everything
logger.info('User login', user);  // May contain sensitive data

Getting Started

Core Concepts

Guides

CLI Tool

Logging and Profiling

Logging and Profiling

Logger

Quick Start

Logger Configuration

Log Levels

Creating Loggers

Logging Methods

Log Entry Structure

Child Loggers

Dynamic Log Levels

Custom Transports

Built-in Transports

Integration with ApiClient

TypeScript Context Types

Profiler

Quick Start

Creating a Profiler

Measuring Operations

Nested Measurements

Namespaced Results

Performance Monitoring Pattern

Integration with Logger

Best Practices

1. Use Appropriate Log Levels

2. Include Contextual Information

3. Use Namespaces for Organization

4. Profile Critical Operations

5. Avoid Logging Sensitive Data

Getting Started

Core Concepts

Guides

CLI Tool

​Logging and Profiling

​Logger

​Quick Start

​Logger Configuration

​Log Levels

​Creating Loggers

​Logging Methods

​Log Entry Structure

​Child Loggers

​Dynamic Log Levels

​Custom Transports

​Built-in Transports

​Integration with ApiClient

​TypeScript Context Types

​Profiler

​Quick Start

​Creating a Profiler

​Measuring Operations

​Nested Measurements

​Namespaced Results

​Performance Monitoring Pattern

​Integration with Logger

​Best Practices

​1. Use Appropriate Log Levels

​2. Include Contextual Information

​3. Use Namespaces for Organization

​4. Profile Critical Operations

​5. Avoid Logging Sensitive Data

​Related

Logging and Profiling

Logger

Quick Start

Logger Configuration

Log Levels

Creating Loggers

Logging Methods

Log Entry Structure

Child Loggers

Dynamic Log Levels

Custom Transports

Built-in Transports

Integration with ApiClient

TypeScript Context Types

Profiler

Quick Start

Creating a Profiler

Measuring Operations

Nested Measurements

Namespaced Results

Performance Monitoring Pattern

Integration with Logger

Best Practices

1. Use Appropriate Log Levels

2. Include Contextual Information

3. Use Namespaces for Organization

4. Profile Critical Operations

5. Avoid Logging Sensitive Data

Related