python tools
Project description
pykit-tools
Some methods and decorators commonly used in Python development are encapsulated into lib for easy access and use by other projects.
Python开发经常用的一些方法和装饰器,封装成lib方便其他项目接入使用。
1. 安装
pip install pykit-tools
可查看版本变更记录 ChangeLog
2. 介绍
各函数具体使用说明可以 readthedocs 或者直接查看源码注释。
2.1 装饰器decorator
handle_exception用于捕获函数异常,并在出现异常的时候返回默认值time_record函数耗时统计method_deco_cache方法缓存结果, 只能缓存json序列化的数据类型
2.2 日志log相关
MultiProcessTimedRotatingFileHandler多进程使用的LoggerHandlerLoggerFormatAdapter日志按照字典字段格式化输出
2.3 设计模式
Singleton单例类
2.4 其他工具集
cmd.exec_command执行shell命令str_tool.compute_md5根据输入的参数计算出唯一值(将参数值拼接后最后计算md5)str_tool.base64url_encode和str_tool.base64url_decodeURL安全的Base64编码
3. 配置
3.1 运行配置
可以通过指定环境变量PY_SETTINGS_MODULE加载配置文件:
export PY_SETTINGS_MODULE=${your_project.settings_file.py}
支持的配置项有:
| 配置项 | 类型 | 说明 | 默认值 |
|---|---|---|---|
| DEBUG | bool | 是否debug开发模式 | False |
| APP_CACHE_REDIS | dict | 用于缓存的redis配置,eg: {'host': '127.0.0.1', 'port': 6379, 'db': 0, 'socket_timeout': 10} |
None |
3.2 日志配置
提供以下几种loggers:
pykit_tools用于消息的父日志记录器,一般用以下细分的loggerpykit_tools.cmd用于记录cmd.exec_command执行的命令行pykit_tools.error用于处理错误时输出,例如handle_exception中有用到
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