0.2.0

Major features and improvements

Bump the codebase test coverage to 100% to improve stability
Improve rendering of template with a trailing newline to make them black-valid
Add a PipelineML.extract_pipeline_artifacts methods to make artifacts retrieving easier for a given pipeline
Use an official kedro release (>0.16.0, <0.17.0) instead of the development branch

Add debug folder to gitignore for to avoid involuntary data leakage
Remove the inadequate warning "You have not initialized your project yet" when calling kedro mlflow init
Remove useless check to see if the commands are called inside a Kedro project since the commands are dynamically displayed based on whether the call is made inside a kedro project or not
Fix typos in error messages
Fix hardcoded path to the run.py template
Make not implemented function raise a NotImplementError instead of failing silently
Fix wrong parsing when the mlflow_tracking_uri key of the mlflow.yml configuration file was an absolute local path
Remove unused KedroMlflowContextClass
Force the MlflowPipelineHook.before_pipeline_run method to set the mlflow_tracking_uri to the one from the configuration to enforce configuration file to be prevalent on environment variables or current active tracking uri in interactive mode
Fix wrong environment parsing case when passing a conda environment as a python dictionary in MlflowPipelineHook
Fix wrong artifact logging of MlflowDataSet when a run was already active and the save method was called in an interactive python session.
Force the user to declare an input_name for a PipelineMl object to fix difficult inference of what is the pipeline input
Update run.py template to fit kedro new one.
Force _generate_kedro_commands to separate an option and its arguments with a "=" sign for readibility

hooks, context and cli folders are moved to framework to fit kedro new folder architecture
Rename get_mlflow_conf in get_mlflow_config for consistency (with ConfigLoader, KedroMlflowConfig...)
Rename keys of KedroMlflowConfig.to_dict() to remove the "_opts" suffix for consistency with the KedroMlflowConfig.from_dict method