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neuroinformatics-unit/fancylog

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fancylog

Fancier logging with python.

Uses the standard python logging library, but (optionally) in addition:

  • Logs code when using the multiprocessing module using multiprocessing-logging
  • Uses GitPython to log information about the git environment.
  • Logs the command-line arguments used to run the software
  • Logs object attributes

To install

pip install fancylog

N.B. For the git logging to work, you need to have git and the GitPython package installed. The latter can be installed along with fancylog using:

pip install fancylog[git]

To run example

git clone https://github.com/neuroinformatics-unit/fancylog
pip install -e .
python fancylog/example.py /path/to/output/log/dir

If you run the example, you should get a log file that resembles this