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from airflow import DAG
from airflow.providers.plexus.operators.job import PlexusJobOperator
from airflow.utils.dates import days_ago

HOME = '/home/acc'
T3_PRERUN_SCRIPT = 'cp {home}/imdb/run_scripts/mlflow.sh {home}/ && chmod +x mlflow.sh'.format(home=HOME)


dag = DAG(
    'test',
    default_args={'owner': 'core scientific', 'retries': 1},
    description='testing plexus operator',
    start_date=days_ago(1),
    schedule_interval='@once',
    catchup=False,
)

t1 = PlexusJobOperator(
    task_id='test',
    job_params={
        'name': 'test',
        'app': 'MLFlow Pipeline 01',
        'queue': 'DGX-2 (gpu:Tesla V100-SXM3-32GB)',
        'num_nodes': 1,
        'num_cores': 1,
        'prerun_script': T3_PRERUN_SCRIPT,
    },
    dag=dag,
)

t1
