Created
November 11, 2018 20:01
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import logging | |
import datetime | |
from airflow import DAG | |
from airflow import models | |
from airflow.operators.python_operator import PythonOperator | |
YESTERDAY = datetime.datetime.combine( | |
datetime.datetime.today() - datetime.timedelta(1), | |
datetime.datetime.min.time()) | |
def say_hello_method(**_context): | |
logging.info('Hello Cloud Composer!') | |
DEFAULT_ARGS = { | |
# Setting start date as yesterday starts the DAG immediately when it is | |
# detected in the Cloud Storage bucket. | |
'start_date': YESTERDAY, | |
'email_on_failure': False, | |
'email_on_retry': False, | |
'retries': 2, | |
'retry_delay': datetime.timedelta(minutes=1), | |
'project_id': models.Variable.get('gcp_project') | |
} | |
with DAG('example', | |
default_args=DEFAULT_ARGS, | |
schedule_interval=datetime.timedelta(minutes=20), | |
catchup=False | |
) as dag: | |
say_hello_task = PythonOperator( | |
task_id='say_hello', | |
python_callable=say_hello_method, | |
provide_context=True | |
) |
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