logging_ext_ramwin 0.2.0

Extended logging handlers with date-based filename formatting

logging_ext_ramwin

Extended logging handlers with date-based filename formatting for Python.

Features

• Date-based filename patterns: Automatically create log files with names based on current date/time
• Automatic cleanup: Keep only the most recent log files with configurable backup_count
• Multi-process safe: Concurrent file operations with proper error handling
• Flexible patterns: Support any strftime format codes (e.g., %Y-%m-%d, %Y-%m-%d_%H, etc.)
• Easy integration: Drop-in replacement for standard logging handlers

Installation

pip install logging_ext_ramwin

Quick Start

Basic Daily Logging

import logging
from logging_ext import DateBasedFileHandler

# Create handler that creates daily log files
handler = DateBasedFileHandler(
    filename_pattern="logs/app-%Y-%m-%d.log",
    backup_count=7  # Keep last 7 days
)

formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)

logger = logging.getLogger("my_app")
logger.setLevel(logging.INFO)
logger.addHandler(handler)

# Log some messages
logger.info("Application started")
logger.error("Something went wrong")

Hourly Log Rotation

from logging_ext import DateBasedFileHandler

# Create hourly log files
handler = DateBasedFileHandler(
    filename_pattern="logs/app-%Y-%m-%d_%H.log",
    backup_count=24  # Keep last 24 hours
)

Multi-Process Safe Logging

from logging_ext import ConcurrentDateBasedFileHandler

# Thread-safe version for multi-process applications
handler = ConcurrentDateBasedFileHandler(
    filename_pattern="logs/app-%Y-%m-%d.log",
    backup_count=7
)

Filename Patterns

Pattern	Example Output	Description
%Y-%m-%d	2024-01-15	Daily logs
%Y-%m-%d_%H	2024-01-15_14	Hourly logs
%Y-%m-%d_%H-%M	2024-01-15_14-30	Minute-based logs
%Y-%W	2024-03	Weekly logs
%Y-%m	2024-01	Monthly logs

Advanced Usage

Custom Cleanup Logic

handler = DateBasedFileHandler(
    filename_pattern="logs/app-%Y-%m-%d.log",
    backup_count=30  # Keep 30 days of logs
)

Combining with Other Handlers

import logging
from logging_ext import DateBasedFileHandler

# Create logger
logger = logging.getLogger("my_app")
logger.setLevel(logging.DEBUG)

# Console handler for immediate feedback
console_handler = logging.StreamHandler()
console_handler.setLevel(logging.INFO)

# File handler for persistent logging
file_handler = DateBasedFileHandler(
    filename_pattern="logs/app-%Y-%m-%d.log",
    backup_count=7
)
file_handler.setLevel(logging.DEBUG)

# Formatters
console_formatter = logging.Formatter('%(levelname)s - %(message)s')
file_formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')

console_handler.setFormatter(console_formatter)
file_handler.setFormatter(file_formatter)

# Add handlers
logger.addHandler(console_handler)
logger.addHandler(file_handler)

API Reference

DateBasedFileHandler

DateBasedFileHandler(
    filename_pattern: str,      # Pattern for log filenames using strftime format
    backup_count: int = 0,      # Number of old log files to keep (0 = no cleanup)
    encoding: str = "utf-8",    # File encoding
    delay: bool = False,        # Delay file opening until first log message
    mode: str = "a"             # File opening mode
)

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License

Usage 使用说明(Chinese)

这个库提供了以下主要功能：

1. DateBasedFileHandler: 基础的日期文件日志处理器
2. ConcurrentDateBasedFileHandler: 支持基本文件锁定的并发安全版本

主要特性：

• ✅ 支持任意strftime格式模式（如%Y-%m-%d, %Y-%m-%d_%H等）
• ✅ 自动清理旧的日志文件（通过backup_count参数）
• ✅ 多进程并发安全（处理文件被其他进程删除的情况）
• ✅ 自动创建必要的目录
• ✅ 健壮的错误处理
• ✅ 使用简单，与标准logging模块完美集成

安装和使用：

# 安装
pip install logging_ext_ramwin

# 使用
from logging_ext import DateBasedFileHandler

handler = DateBasedFileHandler(
    filename_pattern="logs/app-%Y-%m-%d.log",
    backup_count=7  # 保留最近7天的日志
)