kedro-mlflow CLI is unavailable inside a Kedro project

Description

I try to reproduce the minimal example from the Docs: a Kedro project using the starter pandas-iris using the kedro-mlflow functinality. I do not arrive at initializing the kedro-mlflow project, since the cli commands are not available.

Context

It is unclear to me if this is connected to #157 I wanted to start looking into kedro-mlflow, but got immediatle blocked by the initialization of the project. Therefore any advice on where to look to fix this would also be appreciated.

Steps to Reproduce

conda create -n kedro_mlflow python=3.8
conda activate kedro_mlflow
pip install kedro-mlflow
kedro mlflow -h
kedro new --starter=pandas-iris
cd mlflow_test/
kedro mlflow -h
> ERROR "No such command 'mlflow'"

Expected Result

kedro mlflow is available in a project directory, i.e. kedro mlflow -h gives the same output inside the folder as before

Actual Result

inside the project folder the mlflow command is unknown to Kedro

.../miniconda3/envs/kedro_mlflow/lib/python3.8/site-packages/pkg_resources/__init__.py:1130: DeprecationWarning: Use of .. or absolute path in a resource path is not allowed and will raise exceptions in a future release.
  return get_provider(package_or_requirement).get_resource_filename(
..../miniconda3/envs/kedro_mlflow/lib/python3.8/site-packages/mlflow/types/schema.py:49: DeprecationWarning: `np.object` is a deprecated alias for the builtin `object`. To silence this warning, use `object` by itself. Doing this will not modify any behavior and is safe. 
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  binary = (7, np.dtype("bytes"), "BinaryType", np.object)
2021-04-23 17:49:52,197 - root - INFO - Registered hooks from 2 installed plugin(s): kedro-mlflow-0.7.1
Usage: kedro [OPTIONS] COMMAND [ARGS]...
Try 'kedro -h' for help.

Error: No such command 'mlflow'.

Your Environment

Ubuntu 18.04.5

• Kedro 0.17.3
• kedro-mlflow 0.7.1
• python 3.8.8.
• mlflow 1.15.0

Does the bug also happen with the last version on master?

yes

[dmb23]

First of all, thank you for looking so quickly into it!

From how I read your second message you already know that, but to answer your questions:

• detecting kedro mlflow works fine with kedro==0.17.2
• the problem is consistent with kedro==0.17.3 independent if I use the pandas-iris starter or not
• kedro viz is found also with kedro=0.17.3

Again, thank you for providing workarounds directly on Monday morning, I can nicely work with those! A question for my understanding of the plugin: As long as the hooks are loaded, the mlflow functionality depends only on a mlflow.yml to be present, and all that kedro mlflow init does is copy this file from the template into conf/local, is this correct?

[Galileo-Galilei]

Hi @dmb23, I’ve just deployed the patch to PyPI. You can use `pip install kedro_mlflow==0.7.2`` and it should be ok for now. I close the issue, but feel free to reopen if you still encounter any issue in this new version.