Home/ Questions/Q 5180
Next
In Process

askthedev.com Latest Questions

Asked: 2024-09-25T02:14:33+05:30 In:

How can I turn off logging for certain imported modules in Python while still retaining the logging functionality for my own code?

I’ve been diving into logging in Python and hit a snag that I can’t seem to figure out, and I could really use some advice from the community. So, here’s my situation: I’m working on this project that uses a few external libraries, and they come with their own logging, which is great for tracking down issues, but the problem is it’s creating a lot of noise in my console. It’s quite overwhelming, especially when I’m trying to debug my own code.

I want to keep logging enabled for my functions and classes, since that’s crucial for understanding how my code is performing and where things might be going wrong. However, I need to figure out how to silence the logging from those imported modules without turning off the entire logging system for my project.

I’ve tried a few things like adjusting the logging level or setting up some filters, but it feels like I’m just kludging things together without really understanding how the logging module works under the hood. Sometimes I see the logs from those libraries flood the console, while my own logs get buried, which isn’t helpful at all.

Have any of you tackled something similar? I’ve heard about changing the logger for a specific module or using the `setLevel()` method, but I’m not 100% clear on how to do that effectively. If I set the level for those libraries to `WARNING` or higher, will that suppress the informational messages while still allowing my debug messages to show? Also, is there a way to do this for multiple libraries without writing code for each one?

It would be awesome to get some clarification on how to set this up, or if there are best practices when it comes to managing logging across different modules in a single project. I’m sure this will help not just me but anyone else who struggles with logging noise from libraries as well. Please share your insights!

Share

    Leave an answer

    You must login to add an answer.

    Need An Account,

    2 Answers



    1. Logging Advice for Python Projects

      Dealing with Logging Noise in Python

      It sounds like you’re having a tough time managing the logging output from those external libraries! You’re not alone; this can be a real challenge in Python projects. Here are some tips and tricks that might help you get a handle on it:

      1. Adjusting Logger Levels

      First off, you’re on the right track thinking about using `setLevel()`. If you set the logging level for those external libraries to `WARNING`, you will suppress any `DEBUG` and `INFO` logs they produce. This means only `WARNING`, `ERROR`, and `CRITICAL` logs will show up in your console, which should cut down on the noise.

      
import logging

# Setting the logger for an external library
logging.getLogger('external_library_name').setLevel(logging.WARNING)

      2. Doing It for Multiple Libraries

      If you have several external libraries that you want to silence, you can easily do this with a quick loop! You can create a list of library names and set their levels in one go:

      
for lib in ['lib_one', 'lib_two', 'lib_three']:
    logging.getLogger(lib).setLevel(logging.WARNING)

      3. Filter Out Specific Messages

      If you still want to see some logs from those libraries but not the ones clogging up your console, consider using filters. You can create a custom filter that only allows certain log messages through, although this is a bit more advanced.

      4. The Importance of Your Logs

      Don’t forget to keep your own logs at the desired level! For your functions and classes, you can have them set to `DEBUG` or `INFO` depending on what you want to track:

      
logging.basicConfig(level=logging.DEBUG) # For your own logs

      5. Best Practices

      Some best practices for managing logging include:

      • Use a consistent logging format.
      • Limit the amount of logging during production runs—opt for higher levels like `WARNING` or `ERROR`.
      • Use different log files for your application and for external libraries if things get really noisy.

      Hopefully, these tips help you clear up the noise in your console! Logging can be a bit overwhelming, but once you get the hang of it, it becomes a really powerful tool for debugging and monitoring your code. You’ve got this!


    2. To manage logging effectively in Python, especially when using multiple libraries that produce a lot of output, you can utilize the logging module’s flexibility to adjust the logging level for specific libraries without suppressing your own application’s logs. First, you should set the logging level for the libraries you want to silence to a higher threshold, like `WARNING` or `ERROR`. This way, you’ll only see warnings and error messages instead of the numerous informational logs that may clutter your console. You can do this by obtaining the logger for the specific library and setting its level, for example:

      import logging

# Set the logging level for an external library
logging.getLogger('external_library_name').setLevel(logging.WARNING)

      If you have multiple libraries, you can define a list and loop over it to set their logging levels all at once. This way, you don’t need to write repetitive code for each library. Here’s an example of how you can handle that:

      libraries_to_silence = ['library1', 'library2', 'library3']
for lib in libraries_to_silence:
    logging.getLogger(lib).setLevel(logging.WARNING)

      By adopting this approach, you can maintain the valuable informational and debug logging for your own code while minimizing noise from external libraries. Remember that fine-tuning logging at different levels can significantly enhance your debugging experience, making it easier to isolate issues within your application without being overwhelmed by extraneous log messages.

    Related Questions