warrenstephens opened a new issue #17241:
URL: https://github.com/apache/airflow/issues/17241


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   **Apache Airflow version**: 
   Airflow version: 2.1.2
   
   **Kubernetes version (if you are using kubernetes)** (use `kubectl 
version`): 
   
   Client Version: version.Info{Major:"1", Minor:"21", GitVersion:"v1.21.2", 
GitCommit:"092fbfbf53427de67cac1e9fa54aaa09a28371d7", GitTreeState:"clean", 
BuildDate:"2021-06-16T12:59:11Z", GoVersion:"go1.16.5", Compiler:"gc", 
Platform:"darwin/arm64"}
   Server Version: version.Info{Major:"1", Minor:"18", GitVersion:"v1.18.10", 
GitCommit:"62876fc6d93e891aa7fbe19771e6a6c03773b0f7", GitTreeState:"clean", 
BuildDate:"2020-10-15T01:43:56Z", GoVersion:"go1.13.15", Compiler:"gc", 
Platform:"linux/amd64"}
   WARNING: version difference between client (1.21) and server (1.18) exceeds 
the supported minor version skew of +/-1
   
   **Environment**:
   
   - **Cloud provider or hardware configuration**:
   - **OS** (e.g. from /etc/os-release): macOs Big Sur 11.4
   - **Kernel** (e.g. `uname -a`):
   - **Install tools**:
   - **Others**:
   
   **What happened**:
   
   ```
   Something bad has happened.
   Please consider letting us know by creating a bug report using GitHub.
   
   Python version: 3.9.6
   Airflow version: 2.1.2
   Node: helx-web-78985b668c-bwgtp
   
-------------------------------------------------------------------------------
   Traceback (most recent call last):
     File "/home/airflow/.local/lib/python3.9/site-packages/flask/app.py", line 
2447, in wsgi_app
       response = self.full_dispatch_request()
     File "/home/airflow/.local/lib/python3.9/site-packages/flask/app.py", line 
1952, in full_dispatch_request
       rv = self.handle_user_exception(e)
     File "/home/airflow/.local/lib/python3.9/site-packages/flask/app.py", line 
1821, in handle_user_exception
       reraise(exc_type, exc_value, tb)
     File "/home/airflow/.local/lib/python3.9/site-packages/flask/_compat.py", 
line 39, in reraise
       raise value
     File "/home/airflow/.local/lib/python3.9/site-packages/flask/app.py", line 
1950, in full_dispatch_request
       rv = self.dispatch_request()
     File "/home/airflow/.local/lib/python3.9/site-packages/flask/app.py", line 
1936, in dispatch_request
       return self.view_functions[rule.endpoint](**req.view_args)
     File 
"/home/airflow/.local/lib/python3.9/site-packages/airflow/www/auth.py", line 
34, in decorated
       return func(*args, **kwargs)
     File 
"/home/airflow/.local/lib/python3.9/site-packages/airflow/www/decorators.py", 
line 60, in wrapper
       return f(*args, **kwargs)
     File 
"/home/airflow/.local/lib/python3.9/site-packages/airflow/www/views.py", line 
1373, in run
       task = dag.get_task(task_id)
     File 
"/home/airflow/.local/lib/python3.9/site-packages/airflow/models/dag.py", line 
1547, in get_task
       raise TaskNotFound(f"Task {task_id} not found")
   airflow.exceptions.TaskNotFound: Task print_it not found
   ```
   
   **What you expected to happen**:
   
   I have been experimenting (for the first time) with trying to get the 
PythonOperator to work -- and to see where I can get the log output to go.  
   
   I have 2 functions listed below.
   
   The first function, print_context, causes my laptop to run out-of-memory -- 
and I have to reboot it.  Shown farther below is how I tried to call it, but 
that was commented out in order to try the 2nd function after the reboot.
   
   The second function, my_function, caused the Airflow UI to pop-up the 
"Something bad has happened." message.
   
   I have not been able to get the PythonOperator to work.
   
   **How to reproduce it**:
   
   ```
   def print_context(ds, **kwargs):
       import logging
       import pprint
       pprint(kwargs)
       print(ds)
   
       tlogger = logging.getLogger("airflow.task")
       tlogger.info(f"kwargs: {kwargs}")
   
       return 'done!'
   
   def my_function(arg1):
       import logging
       print(f"arg1: {arg1}")
   
       tlogger = logging.getLogger("airflow.task")
       tlogger.info(f"arg1: {arg1}")
   
       return 'done!'
   ```
   
   With this in the dag:
   ```
       LoggingMixin().log.info("hello from mixin logger")
   
       # run_printlog = PythonOperator(
       #     task_id='print_it',
       #     provide_context=True,
       #     python_callable=print_context,
       #     dag=dag)
   
       run_printlog = PythonOperator(
           task_id='log_it',
           python_callable=my_function,
           op_kwargs={
               'duglog': theloglevel
           },
           dag=dag)
   
       log.info(f"after python operator")
   
   ```
   
   
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   If you are using kubernetes, please attempt to recreate the issue using 
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