samhita-alla opened a new pull request #22643:
URL: https://github.com/apache/airflow/pull/22643


   Signed-off-by: Samhita Alla <[email protected]>
   
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   This PR adds a new community provider to allow Airflow users to interact 
with Flyte from within Airflow. 
   
   A bit about Flyte: [Flyte](https://www.flyte.org/) is an open-source, 
container-native, structured programming and distributed processing platform 
that enables highly concurrent, scalable, and maintainable workflows for 
machine learning and data processing pipelines.
   
   As a more significant chunk of the users who are into _pipelines_ are using 
Airflow, it'd be really helpful to have a provider that bridges the gap between 
Airflow and Flyte, to help the Airflow users retain their existing pipelines 
and use Flyte from within the Airflow DAGs to run the machine learning jobs 
(say). 
   
   We've had this operator in the back of our minds for a long time; here's the 
[issue](https://github.com/flyteorg/flyte/issues/544).
   
   Code Interface
   ---------------
   The provider defines a `hook`, an `operator`, and a `sensor`. When the user 
instantiates the `AirflowFlyteOperator`, it creates a `FlyteRemote` (Flyte's 
Python API) object, triggers the execution in the Flyte environment, waits for 
the execution to complete, and finally, returns the execution name. This 
implementation is carried out using the methods defined in the `hook`. The 
executions are triggered synchronously by default. One can set `asynchronous` 
to `True` if the execution needs to be polled asynchronously; the polling would 
be handled by the `sensor`.
   
   Tests
   ------
   Unit tests have been added and tested. Also, I spun up an Airflow instance 
to validate the code in real-time.
   
   TODO
   ------
   - [ ] Update the flytekit version from `0.32.0b0` to `0.32.0` after the 
latter release is out.
   
   ---
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   In case of fundamental code change, Airflow Improvement Proposal 
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   In case of backwards incompatible changes please leave a note in 
[UPDATING.md](https://github.com/apache/airflow/blob/main/UPDATING.md).
   


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