Prevent logging at the kedro project level

I’m seeing a number of warnings of the type below but I can’t seem to figure out how to stop kedro from logging these to std console

/envs/kedro_test/lib/python3.7/site-packages/sklearn/linear_model/_least_angle.py:34: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.

I thought the snippet below might work if I add it to the cli.py but it didnt’ do the job… What do I seem to be missing here?

import warnings
# Added because the numpy and sklearn versions class for np.bool type of checks, see below
warnings.filterwarnings("ignore", category=DeprecationWarning,
                        # module="numpy|sklearn|mlflow",
                        message="is a deprecated alias for the builtin")

Warning control on a specific function, module is pretty straightforward. However, this deprecation warning is completely taking over the log file so that we can’t see anything else.

Do you have suggestions where to place these warning filters?

[marcosfelt]

I seem to be having this same problem now with versions 0.18 and above, and the above solutions do not work. Any ideas on changes that need to be made?

[lorenabalan]

Hi @roumail that’s a good point the new hook might be of help here. The new version should be out today.

I thought the snippet below might work if I add it to the cli.py but it didnt’ do the job…

Could you clarify where you’ve added? I’d expect if it’s in the run() command, before creating the KedroSession, it would’ve still worked.

Alternatively you might also look at configuring logging.captureWarnings and having a separate handler for that, but it might be a bit overkill.