AlejandroBaron opened a new issue #21561:
URL: https://github.com/apache/airflow/issues/21561


   ### Apache Airflow version
   
   2.2.3 (latest released)
   
   ### What happened
   
   I was trying to use branching in the newest Airflow version but no matter 
what I try, any task after the branch operator gets skipped
   
   
![image](https://user-images.githubusercontent.com/20068161/153865524-b6b08447-3b3a-417e-8223-55cb5159befd.png)
   
   
   Might be related to https://github.com/apache/airflow/issues/10725, but none 
of the solutions there seemed to work.
   
   ### What you expected to happen
   
   The task following a BranchPythonOperator to be executed
   
   ### How to reproduce
   
   ```
   from airflow.decorators import dag, task
   from datetime import timedelta, datetime
   
   from airflow.operators.python import BranchPythonOperator
   from airflow.utils.trigger_rule import TriggerRule
   
   import logging
   logger = logging.getLogger("airflow.task")
   
   @dag(
       schedule_interval="0 0 * * *",
       start_date=datetime.today() - timedelta(days=2),
       dagrun_timeout=timedelta(minutes=60),
   )
   def StackOverflowExample():
   
       @task
       def task_A():
   
           logging.info("TASK A")
           
   
       @task
       def task_B():
   
           logging.info("TASK B")
   
       @task
       def task_C():
   
           logging.info("TASK C")
   
       @task
       def task_D():
           
           logging.info("TASK D")
   
           return {"parameter":0.5}
   
       
       def _choose_task(task_parameters,**kwargs):
   
           logging.info(task_parameters["parameter"])
           if task_parameters["parameter"]<0.5:
               logging.info("SUCCESSS ")
               return ['branch_1', 'task_final']
           else:
               logging.info("RIP")
               return ['branch_2', 'task_final']
   
       @task(task_id="branch_1")
       def branch_1():
           logging.info("branch_1...")
   
       @task(task_id="branch_2")
       def branch_2():
           logging.info("branch_2")
   
       @task(task_id="task_final")
       def task_final():
           logging.info("task_final")
   
   
       parameter = task_A() >> task_B() >> task_C() >> task_D()   
   
       choose_task = BranchPythonOperator(
                                               task_id='choose_best_model',
                                               
op_kwargs={"task_parameters":parameter},
                                               python_callable=_choose_task,
                                               
trigger_rule=TriggerRule.NONE_FAILED_MIN_ONE_SUCCESS
                                               )
   
   
   
       choose_task >> [branch_1(), branch_2()] >> task_final()
   
   
   dag = StackOverflowExample  ()
   ```
   
   ### Operating System
   
   Ubuntu 18.04 (WSL2)
   
   ### Versions of Apache Airflow Providers
   
   _No response_
   
   ### Deployment
   
   Docker-Compose
   
   ### Deployment details
   
   _No response_
   
   ### Anything else
   
   _No response_
   
   ### Are you willing to submit PR?
   
   - [ ] Yes I am willing to submit a PR!
   
   ### Code of Conduct
   
   - [X] I agree to follow this project's [Code of 
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
   


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