Practical tips for Python log capture and assertion

Logging is a crucial part of the development and debugging process. Through logs, developers can track the running status of programs, capture errors, analyze performance issues, and debug. Python provides powerfulloggingModule for generating and managing log files. However, in the process of automated testing and debugging, it is often necessary to capture log content, make assertions, and record the results.

Python loggingModule Overview

Python’sloggingA module is a built-in standard library used to generate log information. It supports different log levels, output formats, and log handlers, and can send logs to consoles, files, and even remote servers.

log level

The log level is used to identify the importance of logs, and commonly used log levels include:

• DEBUGDebugging information is usually used during the development process.
• INFOGeneral information, indicating the normal running status of the program.
• WARNINGWarning message, indicating potential issues.
• ERRORError message, indicating that there is a problem and the program may not continue to run.
• CRITICALSerious error, usually indicating program crash.

Each level has a corresponding priority, from low to high:DEBUG < INFO < WARNING < ERROR < CRITICAL。

Basic usage examples