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Data Plumbing
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NAME="yourname" # all lower case one word | |
import datetime | |
import pandas | |
from airflow import models | |
from airflow.operators.python_operator import PythonOperator | |
from airflow.contrib.operators.kubernetes_pod_operator import KubernetesPodOperator | |
DATA_DIR = '/home/airflow/gcs/data/' | |
GCS_BUCKET = 'us-east1-dta-airflow-b3415db4-bucket' | |
DOCKER_IMAGE = 'gcr.io/dta-ga-bigquery/galileo' | |
RUN_R_SCRIPT = [('gsutil cp gs://{GCS_BUCKET}/data/{NAME}.csv . && ' + | |
'gsutil cp gs://{GCS_BUCKET}/dags/{NAME}.R . && ' + | |
'R -f {NAME}.R && ' + | |
'gsutil cp {NAME}.png gs://{GCS_BUCKET}/data/').format(GCS_BUCKET=GCS_BUCKET,NAME=NAME) ] | |
def fix_my_data(): | |
print("# TODO fix your data up here") | |
with models.DAG('yourname', catchup=False, schedule_interval=None, default_args={'start_date': datetime.datetime(2019, 5, 13)}) as dag: | |
fix_my_data = PythonOperator(task_id='fix-my-data', python_callable=fix_my_data) | |
# graph_my_data = KubernetesPodOperator(task_id='graph-my-data',name='graph-my-data',namespace='default', image=DOCKER_IMAGE, cmds=['bash', '-c'], arguments=RUN_R_SCRIPT) |
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