Add DAG for loading streets data from data.gov

airflow_server/dags/streets.py

@@ -0,0 +1,20 @@
+from airflow import DAG
+import pendulum
+
+from anyway_etl_airflow.operators.cli_bash_operator import CliBashOperator
+
+
+dag_kwargs = dict(
+    default_args={
+        'owner': 'airflow',
+    },
+    schedule_interval='@weekly',
+    catchup=False,
+    start_date=pendulum.datetime(2024, 1, 1, tz="Asia/Jerusalem"),
+)
+
+
+with DAG('load-streets', **dag_kwargs) as load_streets:
+    CliBashOperator(cmd='anyway-etl anyway-kubectl-exec python3 main.py process streets',
+                    task_id='load-streets'
+                    )