start_pipeline.py

import mlflow
import typer

from src.constants import PROJECT_ROOT_PATH, PROJECT_EXPERIMENT_NAME


def start_pipeline(run_name):
    mlflow.set_experiment(PROJECT_EXPERIMENT_NAME)
    with mlflow.start_run(run_name=run_name):
        print(mlflow.active_run().info.run_id)
        mlflow.log_artifact(PROJECT_ROOT_PATH / "dvc.yaml")


if __name__ == "__main__":
    typer.run(start_pipeline)