logging

Log層級(輕至重)：debug --> info --> warning --> error --> critical

import logging

# 輸出log檔案
log_file = 'log_file.log'
level = logging.INFO
logging.basicConfig(level=level,
                        format='%(asctime)s %(name)-12s %(levelname)-8s %(message)s',
                        datefmt='%Y-%m-%d %H:%M:%S',
                        handlers=[logging.FileHandler(log_file, 'a', 'utf-8')])


# 在cmd中顯示
console = logging.StreamHandler()
console.setLevel(level)
formatter = logging.Formatter('%(asctime)s %(name)-12s %(levelname)-8s %(message)s')  # 設定輸出格式
console.setFormatter(formatter)  # handler 設定輸出格式
logging.getLogger('').addHandler(console)  # 加入 handler 到 root logger


# 設定新的name，否則全部都會是root
logger_ = logging.getLogger(os.path.basename(__file__).replace('.py', ''))  # 將檔案名稱設定為name

參考資料： http://zwindr.blogspot.com/2016/08/python-logging.html

multiprocessing-logging

https://hant.helplib.com/GitHub/article_124489

如果在multiprocessing時使用logging，需在全域位置宣告logger

http://hk.voidcc.com/question/p-voslmrpl-ru.html

或者用queue來存放訊息，然後統一輸出

https://stackoverflow.com/questions/11515944/how-to-use-multiprocessing-queue-in-python

https://morvanzhou.github.io/tutorials/python-basic/multiprocessing/3-queue/