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from datetime import datetime, timedelta
from six.moves.urllib.request import Request
from airflow import DAG
from airflow.operators.python import PythonOperator
from airflow.providers.jenkins.hooks.jenkins import JenkinsHook
from airflow.providers.jenkins.operators.jenkins_job_trigger import JenkinsJobTriggerOperator
default_args = {
"owner": "airflow",
"retries": 1,
"retry_delay": timedelta(minutes=5),
"depends_on_past": False,
"concurrency": 8,
"max_active_runs": 8,
with DAG(
"test_jenkins", default_args=default_args, start_date=datetime(2017, 6, 1), schedule_interval=None
) as dag:
job_trigger = JenkinsJobTriggerOperator(
parameters={"first_parameter": "a_value", "second_parameter": "18"},
# parameters="resources/parameter.json", You can also pass a path to a json file containing your param
jenkins_connection_id="your_jenkins_connection", # T he connection must be configured first
def grab_artifact_from_jenkins(**context):
Grab an artifact from the previous job
The python-jenkins library doesn't expose a method for that
But it's totally possible to build manually the request for that
hook = JenkinsHook("your_jenkins_connection")
jenkins_server = hook.get_jenkins_server()
url = context['task_instance'].xcom_pull(task_ids='trigger_job')
# The JenkinsJobTriggerOperator store the job url in the xcom variable corresponding to the task
# You can then use it to access things or to get the job number
# This url looks like : http://jenkins_url/job/job_name/job_number/
url += "artifact/myartifact.xml" # Or any other artifact name
request = Request(url)
response = jenkins_server.jenkins_open(request)
return response # We store the artifact content in a xcom variable for later use
artifact_grabber = PythonOperator(task_id='artifact_grabber', python_callable=grab_artifact_from_jenkins)
job_trigger >> artifact_grabber
Last Updated by mik-lajmik-laj