Logging Infrastructure Module

A production-grade logging solution for Python applications featuring domain isolation, async/sync support, and comprehensive configuration.

Key Features

• 🏷️ Domain-based logging - Isolate logs by application components (api, core, business, etc.)
• ⚡ Dual-mode operation - Switch between synchronous and asynchronous logging
• 📝 Multiple output formats - Plain text and structured JSON logging
• 📊 Multiple destinations - Console, file (with rotation), and custom handlers
• 🔧 Environment-configurable - All settings via environment variables or Pydantic model
• 🧵 Thread-safe - Designed for concurrent applications
• 🧹 Proper resource cleanup - Automatic handler termination on shutdown

Installation

Prerequisites

• Python 3.11+
• Pydantic 2.0+

Installation

git clone git@github.com:a-ulianov/logging-manage-module.git
cd logging-manage-module
python -m venv venv
source venv/bin/activate      # for Linux
# venv/Script/activate.bat    # for Windows
pip install -r ./requrements.txt

Or add to your project's dependencies.

Quick Start

from src import LoggerManager, LoggingSettings

# Initialize for API domain
api_manager = LoggerManager('api')
api_manager.configure(
   LoggingSettings(
      JSON=True,
      LEVEL='DEBUG',
      USE_ASYNC=True,
      DIR='logs',
      FILE='api.log'
   )
)

# Get loggers
root_logger = api_manager.get_logger()  # 'api'
auth_logger = api_manager.get_logger('v1.auth')  # 'api.v1.auth'

# Log messages
auth_logger.info("Authentication request", extra={"context": {"user": "test"}})

# Cleanup (important!)
api_manager.shutdown()

Configuration

LoggingSettings Options

Parameter	Type	Default	Description
NAME	str	''	Root logger name
LEVEL	str	'INFO'	Minimum log level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
JSON	bool	False	Enable JSON formatting
FORMAT	str	'%(asctime)s - %(name)s - %(levelname)s - %(message)s'	Text format string
USE_ASYNC	bool	True	Enable non-blocking async logging
MAX_QUEUE_SIZE	int	1000	Max queue size for async mode
DIR	Optional[str]	'logs'	Log directory path
FILE	Optional[str]	'app.log'	Log filename
MAX_BYTES	int	10MB	Max log file size before rotation
BACKUP_FILES_COUNT	int	5	Number of backup logs to keep

All parameters can be set via environment variables with LOG_ prefix:

export LOG_LEVEL=DEBUG
export LOG_JSON=true
export LOG_USE_ASYNC=false

Advanced Usage

Domain Isolation

# Separate domains for different components
from src import LoggerManager, LoggingSettings

api_manager = LoggerManager('api')
core_manager = LoggerManager('core')

api_manager.configure(LoggingSettings(JSON=True))
core_manager.configure(LoggingSettings(FORMAT='%(levelname)s - %(message)s'))

# Loggers maintain separate configurations
api_logger = api_manager.get_logger('v1')
core_logger = core_manager.get_logger('db')

Custom Handlers

from src import LoggerManager, LoggingSettings
from logging.handlers import SysLogHandler


def create_custom_handlers():
   handlers = []
   syslog = SysLogHandler(address=('logs.example.com', 514))
   handlers.append(syslog)
   return handlers


manager = LoggerManager('custom')
settings = LoggingSettings()
manager.configure(settings, custom_handler_factory=create_custom_handlers)

Best Practices

1. Always call shutdown() - Failing to shutdown may lose queued log messages
2. Use domain isolation - Prevents configuration conflicts between components
3. Consider async for performance - Especially in I/O-bound applications
4. Use JSON for production - Enables better log processing and analysis
5. Monitor queue size - In async mode, set appropriate MAX_QUEUE_SIZE

Common Pitfalls

❌ Premature shutdown
→ Ensure all logging operations complete before shutdown()

❌ Mixing sync/async modes
→ Stick to one mode per domain for consistency

❌ Unbounded queue growth
→ Set MAX_QUEUE_SIZE appropriate for your workload

❌ Overlapping domains
→ Use clear hierarchical naming (api.v1, api.v2)

Testing

Run tests with:

pytest -v

Key test cases:

• Environment variable loading
• Domain isolation
• Async/sync mode switching
• Resource cleanup
• Handler configuration

Project Structure

logging-manage-module/
├── src                            # Source code package
│   ├── __init__.py                # Public interface
│   └── logging                    # Module source code
│       ├── __init__.py            # Public interface
│       ├── config.py              # Configuration model
│       ├── factory.py             # Pipeline construction
│       ├── manager.py             # Domain lifecycle management
│       ├── handlers/              # Handler implementations
│       │   ├── __init__.py        # Public interface
│       │   ├── base.py            # Core handler factory
│       │   └── custom.py          # Example custom handlers
│       └── formatters/            # Formatter implementations
│           ├── __init__.py        # Public interface
│           ├── base.py            # Core formatter factory
│           └── json.py            # JSON formatter
├── tests/                         # Comprehensive test suite
│   ├── __init__.py                # Package file
│   └── test_logging.py            # Unit tests
├── .gitignore
├── pyproject.toml                 # Project config and settings
├── readme.md                      # Documentation
└── requirements.txt               # Dependencies

Performance Considerations

• Async mode adds ~5-10% overhead but prevents I/O blocking
• JSON formatting is ~15% slower than text but more machine-readable
• File rotation has minimal impact when properly sized
• Queue size should be 2-3x your peak message rate

License

MIT License - See LICENSE for details.

Contributing

1. Fork the repository
2. Create your feature branch
3. Add tests for your changes
4. Submit a pull request

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This module was designed for production use in high-load environments and has been battle-tested in several large-scale applications.