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airflow_dag_papermill_operator_jupyter_notebook_execution.py

python

This example DAG uses the PapermillOperator to execut

15d ago20 linesairflow.apache.org
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airflow_dag_papermill_operator_jupyter_notebook_execution.py
1import datetime
2
3from airflow import DAG
4from airflow.providers.papermill.operators.papermill import PapermillOperator
5
6with DAG(
7    dag_id='example_papermill_operator',
8    start_date=datetime.datetime(2021, 1, 1),
9    schedule=None,
10    catchup=False,
11) as dag:
12
13    # [START howto_operator_papermill]
14    run_nb = PapermillOperator(
15        task_id="run_example_notebook",
16        input_nb="/tmp/input_notebook.ipynb",
17        output_nb="/tmp/output_notebook_{{ execution_date }}.ipynb",
18        parameters={"msgs": "Ran from Airflow at {{ execution_date }}!"},
19    )
20    # [END howto_operator_papermill]
airflow_dag_papermill_operator_jupyter_notebook_execution.py - Raysurfer Public Snippets