v1.1.0

🚀 structured-logger v1.1.0 - Advanced Logging Features

This major feature release introduces enterprise-grade logging capabilities while maintaining full backward compatibility.

✨ New Advanced Features

🔄 Async Logging

• High-performance non-blocking logging operations
• Queue-based buffering with automatic overflow handling
• Perfect for high-throughput applications

🛡️ Log Validation & Schema Enforcement

• Define required fields, types, and custom validators
• Automatic validation with graceful failure handling
• Ensure data quality and consistency across your application

⏱️ Rate Limiting & Sampling

• Prevent log flooding with configurable burst limits
• Smart sampling with time-window controls
• Automatic cleanup of old tracking data

📊 Built-in Metrics Collection

• Track log counts, performance, and error patterns
• Background metrics reporting with configurable intervals
• Monitor application health through logging metrics

🗂️ File Rotation

• Automatic log file management
• Size-based and time-based rotation strategies
• Configurable backup retention policies

🔗 Correlation ID Management

• Automatic request/trace correlation for distributed systems
• Context managers for easy correlation tracking
• Built-in web framework integration examples

📁 New Files Added

• structured_logger/advanced.py - Core advanced features module
• ADVANCED_FEATURES.md - Comprehensive documentation
• examples/advanced_features.py - All features demonstration
• examples/flask_advanced.py - Flask integration example
• examples/fastapi_advanced.py - FastAPI integration example
• examples/test_all_features.py - Complete test suite

🔧 Enhanced Core Features

• Extended LoggerConfig with 6 new advanced feature toggles
• Improved StructuredLogger with async support and validation
• Enhanced initialization with advanced feature detection
• Backward-compatible API - existing code works unchanged

🎯 Key Benefits

• Zero Dependencies - All features built with Python standard library
• High Performance - Minimal overhead with smart optimizations
• Production Ready - Comprehensive error handling and graceful degradation
• Developer Friendly - Rich examples and detailed documentation

📈 Stats

• 1,960+ lines added across 10 files
• 6 major new features with full configuration options
• 5 working examples for quick integration
• 400+ lines of documentation with troubleshooting guide

🚦 Getting Started

from structured_logger import get_logger, LoggerConfig
from structured_logger.advanced import LogSchema, SamplingConfig

Enable advanced features

config = LoggerConfig(
enable_async=True,
enable_validation=True,
enable_metrics=True,
force_json=True
)

logger = get_logger(name, config=config)

🔄 Migration

Existing code continues to work without any changes. Simply update imports to access new advanced features.

📚 Documentation

See ADVANCED_FEATURES.md for complete documentation, examples, and integration guides for Flask, FastAPI, and more.

Full Changelog: v1.0.2...v1.1.0