import-logged-model doesn't return imported model metadata

[preranasbodh-dev]

Description

'import_logged_model' function in 'mlflow_export_import/logged_model/import_logged_model.py' does not return any useful information after successfully importing a logged model. This makes it difficult to programatically retrieve the imported model's 'run_id','model_id' and other metadata in automated workflows.

Current behaviour

The function only returns a dictionary in the unsupported MLflow version case:

if not has_logged_model_support():
    return {"unsupported": True, "mlflow_version": mlflow.__version__}

Otherwise, it returns None after successful import.

### Expected behaviour
The function should return a dictionary containing metadata about imported model:

return{
     "run_id": run_id,
     "model_id": logged_model.model_id,
     "experiment_id": exp.experiment_id,
     "experiment_name": exp.name,
     "model_name": src_logged_model_dct["name"],
     "status": "success"
}

Current workaround requires querying mlflow after import which is less reliable.