• logging official: Dictionary Schema Details
• How to create daily log folder in python logging
• python-HOWTO-logging

The logging library takes a modular approach and offers several categories of components: loggers, handlers, filters, and formatters.

• Loggers: expose the interface that application code directly uses.
• Handlers: send the log records (created by loggers) to the appropriate destination.
• Filters: provide a finer grained facility for determining which log records to output.
• Formatters: specify the layout of log records in the final output.

Log event information is passed between loggers, handlers, filters and formatters in a LogRecord instance.

Programmers can configure logging in three ways:

• Creating loggers, handlers, and formatters explicitly using Python code that calls the configuration methods listed above.
• Creating a logging config file and reading it using the fileConfig() function.
• Creating a dictionary of configuration information and passing it to the dictConfig() function.logging-config.dictConfig

官网的dictConfig有点抽象,这里有一个可以直接复制粘贴的dictConfig的例子

The logger does know str.format() but it's best practice in Python to use this form with logging: logger.info("Hello %s", "world") since that creates a string only when it actually gets logged. str.format() and f-strings create strings before they get passed to the logger, even if the string is never logged. So it's considered inefficient(低效) and not advised(建议).

参考，专门用于expection-haduler，日志等级是error，但是参数的格式是debug

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