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Posted to commits@airflow.apache.org by "Ash Berlin-Taylor (JIRA)" <ji...@apache.org> on 2018/09/18 08:31:00 UTC
[jira] [Resolved] (AIRFLOW-443) Code from DAGs with same __name__
show up on each other's code view in the web UI
[ https://issues.apache.org/jira/browse/AIRFLOW-443?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ash Berlin-Taylor resolved AIRFLOW-443.
---------------------------------------
Resolution: Fixed
> Code from DAGs with same __name__ show up on each other's code view in the web UI
> ---------------------------------------------------------------------------------
>
> Key: AIRFLOW-443
> URL: https://issues.apache.org/jira/browse/AIRFLOW-443
> Project: Apache Airflow
> Issue Type: Bug
> Reporter: Li Xuanji
> Assignee: Bolke de Bruin
> Priority: Major
>
> With a dags folder containing 2 files, `bash_bash_bash/dag.py` and `bash_bash_bash_2/dag.py`, with the following contents
> bash_bash_bash/dag.py
> ```
> from airflow import DAG
> from airflow.operators.bash_operator import BashOperator
> from datetime import datetime, timedelta
> default_args = {
> 'owner': 'airflow',
> 'depends_on_past': False,
> 'start_date': datetime(2016, 1, 1, 1, 0),
> 'email': ['xuanji@gmail.com'],
> 'email_on_failure': True,
> 'email_on_retry': False,
> 'retries': 3,
> 'retry_delay': timedelta(minutes=1),
> 'concurrency': 1,
> }
> dag = DAG('bash_bash_bash', default_args=default_args, schedule_interval=timedelta(seconds=10))
> # t1, t2 and t3 are examples of tasks created by instatiating operators
> t1 = BashOperator(
> task_id='print_date',
> bash_command='date',
> dag=dag
> )
> t2 = BashOperator(
> task_id='sleep',
> bash_command='sleep 1',
> retries=3,
> dag=dag
> )
> templated_command = """
> {% for i in range(5) %}
> echo "{{ ds }}"
> echo "{{ macros.ds_add(ds, 7)}}"
> echo "{{ params.my_param }}"
> {% endfor %}
> """
> t3 = BashOperator(
> task_id='templated',
> bash_command=templated_command,
> params={'my_param': 'Parameter I passed in'},
> dag=dag
> )
> t2.set_upstream(t1)
> t3.set_upstream(t1)
> ```
> bash_bash_bash_2/dag.py
> ```
> from airflow import DAG
> from airflow.operators.bash_operator import BashOperator
> from datetime import datetime, timedelta
> default_args = {
> 'owner': 'airflow',
> 'depends_on_past': False,
> 'start_date': datetime(2016, 1, 1, 1, 0),
> 'email': ['xuanji@gmail.com'],
> 'email_on_failure': True,
> 'email_on_retry': False,
> 'retries': 3,
> 'retry_delay': timedelta(minutes=1),
> 'concurrency': 1,
> }
> dag = DAG('bash_bash_bash_2', default_args=default_args, schedule_interval=timedelta(seconds=10))
> t1 = BashOperator(
> task_id='print_date',
> bash_command='date',
> dag=dag
> )
> ```
> The code view in the web UI shows the contents of bash_bash_bash_2/dag.py for both DAGs
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