Summary of Changes

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This pull request refactors the handling of throttling signaling within Apache Beam's Python SDK. It introduces a new ThrottlingSignaler class to abstract the mechanism for communicating throttling events to the SDK worker and a ReactiveThrottler class that wraps the existing AdaptiveThrottler to streamline logging and signaling. The RemoteModelHandler is updated to leverage this new ReactiveThrottler, simplifying its internal throttling logic.

Highlights

• Abstracted Throttling Signaling: A new ThrottlingSignaler class is introduced to provide a more abstract way to signal throttling duration to the SDK worker, using a cumulative metric. This design allows for future changes to the signaling mechanism without impacting callers.
• Encapsulated Reactive Throttling: A ReactiveThrottler class, inheriting from AdaptiveThrottler, is added. This new class centralizes the logic for logging throttling events and signaling them via the ThrottlingSignaler, making the throttling implementation more self-contained.
• Simplified RemoteModelHandler Throttling: The RemoteModelHandler's run_inference method is simplified by delegating the entire throttling loop, including logging and metric updates, to the new ReactiveThrottler's throttle() method. This reduces boilerplate and improves readability in RemoteModelHandler.

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