cherrera20 commented on issue #39463:
URL: https://github.com/apache/airflow/issues/39463#issuecomment-2099995962

   Hi there! Thanks for your response.
   
   The idea behind the **ExternalAPITaskSensor** is to address specific needs 
that go beyond what the **HttpSensor** can offer. While the **HttpSensor** 
provides a basic mechanism to poll an API endpoint, it doesn't really grasp the 
concept of external tasks and DAGs in the Airflow world.
   
   The **ExternalAPITaskSensor** would retain the context of external tasks and 
DAGs, providing a seamless way to monitor specific DAG runs or tasks in another 
Airflow instance via the API. It would leverage attributes like 
**external_dag_id**, **execution_date**, **allowed_states**, 
**skipped_states**, and **failed_states**, which are unique to external DAGs 
and tasks.
   
   Here's why I think this sensor is necessary:
   
   - **State Awareness and Exception Management**: It would handle different 
states (like success, skipped, and failed) and raise exceptions (e.g., 
**AirflowFailException**, **AirflowSkipException**) when a specific state is 
reached. This ensures that task dependencies are managed correctly.
   
   - **Advanced Error Handling**: It would differentiate between transient 
network errors (retries with a threshold) and API-related issues, providing 
more robust error handling.
   
   - **Deferrable** Execution: The sensor would be able to defer execution to a 
custom WorkflowTrigger.
   
   In summary, while the **HttpSensor** is great for basic API polling, it 
lacks the features needed to monitor external tasks and DAGs properly. The 
**ExternalAPITaskSensor** would encapsulate this logic, making it a valuable 
tool for workflows that rely on task dependencies across multiple DAGs or 
external Airflow instances.
   
   I hope this explanation makes the purpose clear. Let me know if you have any 
questions or suggestions!
   


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