airflow-kustom/images/airflow/dags/dag_http.py

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import json
from airflow.utils.dates import days_ago
from airflow import DAG
from airflow.providers.http.operators.http import SimpleHttpOperator
# Sensors
from airflow.providers.http.sensors.http import HttpSensor
from airflow.models.param import Param
default_dag_args = {
'start_date': days_ago(2)
}
with DAG(
dag_id='mse_cmd_over_http',
default_args=default_dag_args,
schedule=None,
params={
"cmdName": Param("", type="string"),
"format": Param("", type="string"),
"env": Param("prod", type="string"),
}
) as dag:
is_api_available = HttpSensor(
task_id='is_api_available',
http_conn_id='mse_api',
endpoint='/api/v1/cmds'
)
task = SimpleHttpOperator(
task_id='mse_cmd',
method="GET",
http_conn_id='mse_api',
endpoint='/api/v1/cmds',
data={
"cmdName": "{{ dag_run.conf.get('cmdName') }}",
"format": "{{ dag_run.conf.get('format') }}",
"env": "{{ dag_run.conf.get('env') }}"
},
headers={"Content-Type": "application/json"},
dag=dag
)
is_api_available >> task