python的logging 不是进程安全的。





第三方模块loguru可以支持进程安全。

注意：不要实例化logger，只需要from loguru import logger即可！

安装：

```python
pip install loguru
```

使用：
```python
from loguru import logger
import datetime
if __name__ == '__main__':
    log_file_name = './log_record/log.log'  # linux路径 我给的相对路径
    logger.add(log_file_name,  # 可以带有路径 没路径的logger会自己创建
               rotation='100 KB',  # 按文件大小切割日志
               enqueue=True,  # 这使得进程安全
               colorize=True,  # 彩色显示 只要系统支持
               level='WARNING')  # 这个级别以上的才会被写入文件，包含这个级别的
    ziduan = {i: 123432 for i in range(10)}
    for i in range(1000):
        logger.debug(ziduan)
        logger.info(ziduan)
        logger.warning(ziduan)
        logger.error(ziduan)
        logger.critical(ziduan)
        logger.critical(datetime.datetime)
```

教程：

[https://huangkai1008.github.io/post/python/loguru/](https://huangkai1008.github.io/post/python/loguru/)

[https://loguru.readthedocs.io/en/stable/api/logger.html](https://loguru.readthedocs.io/en/stable/api/logger.html)

github：

[https://github.com/Delgan/loguru#asynchronous-thread-safe-multiprocess-safe](https://github.com/Delgan/loguru#asynchronous-thread-safe-multiprocess-safe)

效果：

![在这里插入图片描述](/static/img/images/00768.png)

为了让loguru不输出数据到控制台，可以remove掉之前add的东西。

```python
from loguru import logger
import datetime
if __name__ == '__main__':
    log_file_name = './log_record/log__{time}.log'  # linux路径 我给的相对路径
    logger.remove(handler_id=None)  # 清除logger之前的句柄
    logger.add(sink=log_file_name,  # 可以带有路径 没路径的logger会自己创建
               rotation='10 KB',  # 按文件大小切割日志
               retention='30 days',  # 只保留30天的日志
               encoding='utf-8',  # 编码
               enqueue=True,  # 这使得进程安全
               colorize=False,  # 彩色显示 只要系统支持
               format='<green>{time:YYYY-MM-DD HH:mm:ss.SSS}</green> | <level>{level: <8}</level> | <cyan>{name}</cyan>:<cyan>{function}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>',
               level='DEBUG')  # 这个级别以上的才会被写入文件，包含这个级别的
    ziduan = {i: 123432 for i in range(10)}
    for i in range(1000):
        logger.debug(ziduan)
        logger.info(ziduan)
        logger.warning(ziduan)
        logger.error(ziduan)
        logger.critical(ziduan)
        logger.critical(datetime.datetime)
```

python logging loguru 日志切割 进程安全 日志切分 一天一输出

Python





```python
file_path="./log_record/"
if not os.path.exists(file_path):
    os.makedirs(file_path)
file_name=file_path+'log.log'
if not os.path.exists(file_name):
    os.system(r"touch {}".format(file_name))  # 调用系统命令行来创建文件
```

python 检测文件目录是否存在 不存在就创建 检测文件是否存在 不存在就创建 linux

Python





```python
import datetime
print(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'))
```

<table>

 <thead>

  <tr>

   <td><strong>Directive</strong></td>

   <td><strong>Meaning</strong></td>

   <td><strong>Example</strong></td>

  </tr>

 </thead>

 <tbody>

  <tr>

   <td><code>%a</code></td>

   <td>Abbreviated weekday name.</td>

   <td>Sun, Mon, ...</td>

  </tr>

  <tr>

   <td><code>%A</code></td>

   <td>Full weekday name.</td>

   <td>Sunday, Monday, ...</td>

  </tr>

  <tr>

   <td><code>%w</code></td>

   <td>Weekday as a decimal number.</td>

   <td>0, 1, ..., 6</td>

  </tr>

  <tr>

   <td><code>%d</code></td>

   <td>Day of the month as a zero-padded decimal.</td>

   <td>01, 02, ..., 31</td>

  </tr>

  <tr>

   <td><code>%-d</code></td>

   <td>Day of the month as a decimal number.</td>

   <td>1, 2, ..., 30</td>

  </tr>

  <tr>

   <td><code>%b</code></td>

   <td>Abbreviated month name.</td>

   <td>Jan, Feb, ..., Dec</td>

  </tr>

  <tr>

   <td><code>%B</code></td>

   <td>Full month name.</td>

   <td>January, February, ...</td>

  </tr>

  <tr>

   <td><code>%m</code></td>

   <td>Month as a zero-padded decimal number.</td>

   <td>01, 02, ..., 12</td>

  </tr>

  <tr>

   <td><code>%-m</code></td>

   <td>Month as a decimal number.</td>

   <td>1, 2, ..., 12</td>

  </tr>

  <tr>

   <td><code>%y</code></td>

   <td>Year without century as a zero-padded decimal number.</td>

   <td>00, 01, ..., 99</td>

  </tr>

  <tr>

   <td><code>%-y</code></td>

   <td>Year without century as a decimal number.</td>

   <td>0, 1, ..., 99</td>

  </tr>

  <tr>

   <td><code>%Y</code></td>

   <td>Year with century as a decimal number.</td>

   <td>2013, 2019 etc.</td>

  </tr>

  <tr>

   <td><code>%H</code></td>

   <td>Hour (24-hour clock) as a zero-padded decimal number.</td>

   <td>00, 01, ..., 23</td>

  </tr>

  <tr>

   <td><code>%-H</code></td>

   <td>Hour (24-hour clock) as a decimal number.</td>

   <td>0, 1, ..., 23</td>

  </tr>

  <tr>

   <td><code>%I</code></td>

   <td>Hour (12-hour clock) as a zero-padded decimal number.</td>

   <td>01, 02, ..., 12</td>

  </tr>

  <tr>

   <td><code>%-I</code></td>

   <td>Hour (12-hour clock) as a decimal number.</td>

   <td>1, 2, ... 12</td>

  </tr>

  <tr>

   <td><code>%p</code></td>

   <td>Locale&rsquo;s AM or PM.</td>

   <td>AM, PM</td>

  </tr>

  <tr>

   <td><code>%M</code></td>

   <td>Minute as a zero-padded decimal number.</td>

   <td>00, 01, ..., 59</td>

  </tr>

  <tr>

   <td><code>%-M</code></td>

   <td>Minute as a decimal number.</td>

   <td>0, 1, ..., 59</td>

  </tr>

  <tr>

   <td><code>%S</code></td>

   <td>Second as a zero-padded decimal number.</td>

   <td>00, 01, ..., 59</td>

  </tr>

  <tr>

   <td><code>%-S</code></td>

   <td>Second as a decimal number.</td>

   <td>0, 1, ..., 59</td>

  </tr>

  <tr>

   <td><code>%f</code></td>

   <td>Microsecond as a decimal number, zero-padded on the left.</td>

   <td>000000 - 999999</td>

  </tr>

  <tr>

   <td><code>%z</code></td>

   <td>UTC offset in the form +HHMM or -HHMM.</td>

   <td>&nbsp;</td>

  </tr>

  <tr>

   <td><code>%Z</code></td>

   <td>Time zone name.</td>

   <td>&nbsp;</td>

  </tr>

  <tr>

   <td><code>%j</code></td>

   <td>Day of the year as a zero-padded decimal number.</td>

   <td>001, 002, ..., 366</td>

  </tr>

  <tr>

   <td><code>%-j</code></td>

   <td>Day of the year as a decimal number.</td>

   <td>1, 2, ..., 366</td>

  </tr>

  <tr>

   <td><code>%U</code></td>

   <td>Week number of the year (Sunday as the first day of the week). All days in a new year preceding the first Sunday are considered to be in week 0.</td>

   <td>00, 01, ..., 53</td>

  </tr>

  <tr>

   <td><code>%W</code></td>

   <td>Week number of the year (Monday as the first day of the week). All days in a new year preceding the first Monday are considered to be in week 0.</td>

   <td>00, 01, ..., 53</td>

  </tr>

  <tr>

   <td><code>%c</code></td>

   <td>Locale&rsquo;s appropriate date and time representation.</td>

   <td>Mon Sep 30 07:06:05 2013</td>

  </tr>

  <tr>

   <td><code>%x</code></td>

   <td>Locale&rsquo;s appropriate date representation.</td>

   <td>09/30/13</td>

  </tr>

  <tr>

   <td><code>%X</code></td>

   <td>Locale&rsquo;s appropriate time representation.</td>

   <td>07:06:05</td>

  </tr>

  <tr>

   <td><code>%%</code></td>

   <td>A literal &#39;%&#39; character.</td>

   <td>%</td>

  </tr>

 </tbody>

</table>

python datetime to string using strftime()

Python





```python
if __name__ == '__main__':
    result_generator = (dict(zip([5,6], x)) for x in [(1,2),(1,2),(1,2)])  # 小括号 生成器
    print(next(result_generator))
    print(next(result_generator))
    # print(next(result_generator))
    for i in range(4):
        try:
            try:
                print(next(result_generator))
            except:
                print("空的")
            else:
                continue
            print(i)
        except:
            print("dsad")
```

python 生成器 是否为空 判断 generator

[https://docs.python.org/3/library/pickle.html](https://docs.python.org/3/library/pickle.html)





pickle协议和JSON（JavaScript对象表示法）之间存在根本差异 ：

JSON是一种文本序列化格式（虽然大多数时间然后将其编码为，但它输出unicode文本utf-8），而pickle是一种二进制序列化格式；

JSON是人类可读的，而pickle则不是；

JSON是可互操作的，并且在Python生态系统之外被广泛使用，而pickle是特定于Python的；

默认情况下，JSON只能表示Python内置类型的子集，而不能表示自定义类。pickle可以表示大量的Python类型（通过巧妙地使用Python的自省功能，其中的许多会自动实现；可以通过实现特定的对象API解决复杂的情况）；

与pickle不同，反序列化不受信任的JSON本身并不创建任意代码执行漏洞。


总结：

1 json好看，但内部类型少。可跨平台。

2 pickle不好看，但是叼，啥都能存，还能复原。

3 建议：不整活就pickle就行了，好用，兼容好。

4 怎么用：

存成一个文件：

```python
import pickle
with open('temp_debug_t_all.txt','wb') as f:
    pickle.dump(t_all, f)
```

读取出来

```python
import pickle
with open('temp_debug_t_all.txt', 'rb') as f:
    t_all = pickle.load(f)
```

python 保存变量 pickle pickle — Python object serialization

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