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How to Print All Log Messages in Python's Logging Module

i want to print all the messages in logfile

python

logging

Автор: vlogize

Загружено: 2025-05-25

Просмотров: 0

Описание: Learn how to adjust the logging level in Python to print all messages in your log file, including debug, info, warning, error, and critical messages.
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This video is based on the question https://stackoverflow.com/q/72110866/ asked by the user 'Varsha Ladkani' ( https://stackoverflow.com/u/18789611/ ) and on the answer https://stackoverflow.com/a/72111001/ provided by the user 'NEETU KUSHWAH' ( https://stackoverflow.com/u/18779031/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: i want to print all the messages in logfile

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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How to Print All Log Messages in Python's Logging Module

When using Python's logging module, you may find that only error and critical messages appear in your log file. This can be frustrating if you're trying to capture all messages for better debugging or tracking the flow of your application. In this guide, we will explore how to modify the logging configuration to output all log messages, including debug and informative messages.

Understanding The Logging Module

The logging module in Python allows you to track events that happen when your application runs. You can categorize messages based on their severity level:

DEBUG: Detailed information, typically of interest only when diagnosing problems.

INFO: Confirmation that things are working as expected.

WARNING: An indication that something unexpected happened or indicative of some problem in the near future (e.g., 'disk space low').

ERROR: Due to a more serious problem, the software has not been able to perform a function.

CRITICAL: A very serious error, indicating that the program itself may be unable to continue running.

Problem: Only Error and Critical Messages Are Logged

In the current setup, your log file is only capturing error and critical messages. This is evident in the following configuration:

[[See Video to Reveal this Text or Code Snippet]]

Only messages classified as ERROR and CRITICAL are being logged due to the level=logging.ERROR setting in basicConfig().

Solution: Adjust the Logging Level

To visualize all messages you need to adjust the logging level from ERROR to DEBUG. This simple change will allow the logging system to capture messages across all severity levels:

[[See Video to Reveal this Text or Code Snippet]]

Step-by-Step Implementation

Import the Logging Module: Ensure you have the logging module imported at the beginning of your script.

Set Up the Log Format: Use the log format you prefer to capture relevant details (like message level and timestamp).

Configure the Logger: When calling logging.basicConfig(), change the level from ERROR to DEBUG.

[[See Video to Reveal this Text or Code Snippet]]

Use Logger Methods: Continue using different logging methods as needed (debug(), info(), warning(), error(), critical()).

Check Your Log File: After running your script again, you should see all the messages displayed in the logfile.log file.

Complete Example Code

Here is how the complete code would look after adjustments:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By simply adjusting the logger's level to DEBUG, you can easily print all messages in your log file. This allows for comprehensive tracking and troubleshooting, making it much easier to understand your application’s behavior. Start using these logging techniques to improve your development process today!

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