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常用工具封装

Project description

简介

包含了一些常用方法的封装,安装方法

pip install lljz_tools

内含

  • 控制台表格
  • 常用装饰器
  • 彩色日志
  • 内置print猴子补丁
  • 属性字典

更多功能正在开发中...

控制台表格

目前已有的控制台表格大部分都不支持中文,本表格能完美支持中文(PS:请使用等宽字符,否则效果不完美)

from my_tools.console_table import ConsoleTable

# 数据必须满足list[dict]格式
table = ConsoleTable([{"name": "Tom", "age": 13}])
table.show()
# print(table)  # 直接打印

输出结果

2024-02-03 14:37:05.303 - ConsoleTable - "D:\Users\workspace\python_project\my_tools\my_tools\console_table.py:84" - INFO - show : 
   name    |      b    
=======================
    Tom    |      2    
   Lucy    |      4 

常用装饰器

import logging
from my_tools.decorators import catch_exception, time_cache, debug, timer 


# catch_exception用于自动捕获异常,并支持传入指定logger来记录日志, 支持自动重试
@catch_exception
def f():
    raise ValueError


logger = logging.getLogger()

@catch_exception(logger)  # 如果不指定logger,将会自动采用默认logger记录异常堆栈
def f1():
    raise ValueError


@catch_exception(retry=3, interval=0.5)  # 如果失败,重试3次,每次重试间隔0.5s   
def f1():
    raise ValueError


@time_cache(3)   # 缓存结果,最多缓存3秒
def f1(n):
   for _ in range(n):
        pass 

@debug    # 在控制台中将函数运行日志、运行结果、运行耗时等数据自动用logger输出
def f1():
    pass 

@timer   # 自动统计函数运行耗时
def f1():  
    pass

彩色日志

from my_tools.log_manager import LogManager

# 自动打印彩色日志,自动添加文件handler,日志文件自动按天分割
logger = LogManager("your logger name").get_logger()


logger.info("info")
logger.debug("debug")
logger.error("info")

print猴子补丁

添加猴子补丁之后,print自动变更为日志格式,且会显示print代码所在的行数

from my_tools.track_print import patch_print

patch_print()  # 给print添加猴子补丁

属性字典

属性字典支持用.的格式访问数据

from my_tools.attribute_dict import AttributeDict, IgnoreCaseAttributeDict
# IgnoreCaseAttributeDict支持忽略大小写来访问数据

class Book(AttributeDict):
    name: str 
    author: str 
    price: float = 0.1  

book = Book(name='python', author='guido', price=0.1)
assert isinstance(book, dict)
print(book.name)

# AttributeDict 支持3个额外参数
# total: 默认为False,是否全部字段必填,为True时上面定义的三个参数在初始化时都必须指定
# variable: 默认为True,是否允许增加字段,为False时无法给字典增加额外的属性字段
# check_type:默认为False,是否检查类型,为True则初始化时检查参数是否满足类型要求

class User(AttributeDict, total=True, variable=False, check_type=True):
    name: str 
    age: int 
    books: list[Book]
    
    __show__ = ('name', 'book')  # __show__参数决定在print时展示的字段,默认为全部字段

User(name='Tom', age=1, books=[]) # OK
User(name='Tom', age='a', books=[]) # TypeError, 'a' is not int 
User(name='Tom', books=[]) # TypeError, missing age 
user = User(name='Tom', age=1, books=[dict(name='python', author='guido', price=0.1)]) # OK
print(user) # User(name='Tom', books=[Book(name='python', author='guido', price=0.1)])
print(user.name)  # Tom
user.sex = 'male'  # TypeError, can not add item

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