Create KedroMlflowConfig.setup() method and enable configuration to export credentials as environment variables

[Galileo-Galilei]

Description

Fix #31 and #97.

Development notes

• When instantiating a KedroMlflowConfig object, there is no interaction with mlflow to create the associated experiment. It must be created explicitly
• A method was added to export mlflow credentials on the fly when running a pipeline.

# credentials.yml
my_credentials: 
  AWS_SECRET_KEY: <key>

# mlflow.yml
credentials: my_credentials

• interactively, you must now call the setup method to setus the configuration up:

# exploratory.py
from kedro.context import load_context
from kedro_mlflow.context import get_mlflow_config

context=load_context(".")
mlflow_config=get_mlflow_config(context)
mlflow_config.setup(context)

Checklist

• Read the contributing guidelines
• Open this PR as a 'Draft Pull Request' if it is work-in-progress
• Update the documentation to reflect the code changes
• Add a description of this change and add your name to the list of supporting contributions in the CHANGELOG.md file. Please respect Keep a Changelog guidelines.
• Add tests to cover your changes

Notice

• I acknowledge and agree that, by checking this box and clicking "Submit Pull Request":

• I submit this contribution under the Apache 2.0 license and represent that I am entitled to do so on behalf of myself, my employer, or relevant third parties, as applicable.

• I certify that (a) this contribution is my original creation and / or (b) to the extent it is not my original creation, I am authorised to submit this contribution on behalf of the original creator(s) or their licensees.

• I certify that the use of this contribution as authorised by the Apache 2.0 license does not violate the intellectual property rights of anyone else.

[codecov-io]

Codecov Report

Merging #126 (c48c869) into develop (63dcd50) will not change coverage.
The diff coverage is 100.00%.

@@            Coverage Diff            @@
##           develop      #126   +/-   ##
=========================================
  Coverage   100.00%   100.00%           
=========================================
  Files           25        25           
  Lines          713       725   +12     
=========================================
+ Hits           713       725   +12     

Impacted Files	Coverage Δ
kedro_mlflow/framework/context/config.py	100.00% <100.00%> (ø)
kedro_mlflow/framework/hooks/pipeline_hook.py	100.00% <100.00%> (ø)

---

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 63dcd50...c48c869. Read the comment docs.

[takikadiri]

Great ! we are now consistent with kedro in creds management. 👍
We have to do the same for our datasets that have run_id attributes (they already have credentials entry). Maybe in another PR

[Galileo-Galilei]

Managing datasets credentials is a totally different thing because we need to export temporarily credentials to avoid interfering with the tracking credentials. This is in the very short term todo list, though.