from __future__ import print_function
import logging
from bitcoinetl.build_load_dag import build_load_dag
from bitcoinetl.variables import read_load_dag_vars
logging.basicConfig()
logging.getLogger().setLevel(logging.DEBUG)
# When searching for DAGs, Airflow will only consider files where the string "airflow" and "DAG" both appear in the
# contents of the .py file.
DAG = build_load_dag(dag_id='litecoin_load_dag',
chain='litecoin',
**read_load_dag_vars(var_prefix='litecoin_',
schedule_interval='30 14 * * *'))
from __future__ import print_function
import logging
from airflow.models import Variable
from bitcoinetl.build_load_dag import build_load_dag
logging.basicConfig()
logging.getLogger().setLevel(logging.DEBUG)
# When searching for DAGs, Airflow will only consider files where the string “airflow” and “DAG” both appear in the
# contents of the .py file.
DAG = build_load_dag(
dag_id='dash_load_dag',
output_bucket=Variable.get('dash_output_bucket'),
destination_dataset_project_id=Variable.get('destination_dataset_project_id'),
chain='dash',
notification_emails=Variable.get('notification_emails', ''),
schedule_interval='30 6 * * *'
)
from __future__ import print_function
import logging
from bitcoinetl.build_load_dag import build_load_dag
from bitcoinetl.variables import read_load_dag_vars
logging.basicConfig()
logging.getLogger().setLevel(logging.DEBUG)
# When searching for DAGs, Airflow will only consider files where the string "airflow" and "DAG" both appear in the
# contents of the .py file.
DAG = build_load_dag(dag_id='zcash_load_dag',
chain='zcash',
**read_load_dag_vars(var_prefix='zcash_',
schedule_interval='30 16 * * *'))
