BasPH opened a new pull request #6317: [AIRFLOW-5644] Simplify 
TriggerDagRunOperator usage
URL: https://github.com/apache/airflow/pull/6317
 
 
   Make sure you have checked _all_ steps below.
   
   ### Jira
   
   - [x] My PR addresses the following [Airflow 
Jira](https://issues.apache.org/jira/browse/AIRFLOW/) issues and references 
them in the PR title. For example, "\[AIRFLOW-XXX\] My Airflow PR"
     - https://issues.apache.org/jira/browse/AIRFLOW-5644
     - In case you are fixing a typo in the documentation you can prepend your 
commit with \[AIRFLOW-XXX\], code changes always need a Jira issue.
     - In case you are proposing a fundamental code change, you need to create 
an Airflow Improvement Proposal 
([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvements+Proposals)).
     - In case you are adding a dependency, check if the license complies with 
the [ASF 3rd Party License 
Policy](https://www.apache.org/legal/resolved.html#category-x).
   
   ### Description
   
   - [x] Here are some details about my PR, including screenshots of any UI 
changes:
   
   This PR refactors the TriggerDagRunOperator to provide a much more intuitive 
behaviour, i.e. it now has a `conf` argument to which a dict can be provided, 
for configuration for the triggered Dag(Run).
   
   Before:
   
   ```python
   def _trigger_task(context, object):
       object.payload = {"message": "Hello world"}
       return object
   
   trigger_task = TriggerDagRunOperator(
       task_id='test_trigger_dagrun',
       trigger_dag_id="example_trigger_target_dag",
       python_callable=_trigger_task,
       dag=dag,
   )
   ```
   
   After:
   
   ```python
   trigger_task = TriggerDagRunOperator(
       task_id='test_trigger_dagrun',
       trigger_dag_id="example_trigger_target_dag",
       conf={"message": "Hello world"},
       dag=dag,
   )
   ```
   
   ### Tests
   
   - [x] My PR adds the following unit tests __OR__ does not need testing for 
this extremely good reason:
   
   TriggerDagRunOperator tests were extracted from core.py and placed in a 
dedicated test_dagrun_operator.py file. I added additional tests for validating 
correct behaviour.
   
   These tests were a bit tricky because they rely on passing state via the 
database. To make these idempotent and not rely on external files (i.e. example 
DAGs), the `setUp()` writes a small DAG to a temporary file, which is used 
throughout the tests, and in the `tearDown()` all state is removed from the DB.
   
   ### Commits
   
   - [ ] My commits all reference Jira issues in their subject lines, and I 
have squashed multiple commits if they address the same issue. In addition, my 
commits follow the guidelines from "[How to write a good git commit 
message](http://chris.beams.io/posts/git-commit/)":
     1. Subject is separated from body by a blank line
     1. Subject is limited to 50 characters (not including Jira issue reference)
     1. Subject does not end with a period
     1. Subject uses the imperative mood ("add", not "adding")
     1. Body wraps at 72 characters
     1. Body explains "what" and "why", not "how"
   
   ### Documentation
   
   - [ ] In case of new functionality, my PR adds documentation that describes 
how to use it.
     - All the public functions and the classes in the PR contain docstrings 
that explain what it does
     - If you implement backwards incompatible changes, please leave a note in 
the [Updating.md](https://github.com/apache/airflow/blob/master/UPDATING.md) so 
we can assign it to a appropriate release
   

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