sdks/python: enrich data with tecton feature store

[mohamedawnallah]

Description

Towards #35046.

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[gemini-code-assist]

Summary of Changes

Hello @mohamedawnallah, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request enhances the Apache Beam Python SDK by integrating with the Tecton Feature Store. It provides a new enrichment handler that enables Beam pipelines to seamlessly fetch and incorporate real-time features from Tecton, facilitating advanced data processing and machine learning use cases.

Highlights

• New Tecton Feature Store Integration: Introduced a new enrichment handler, TectonFeatureStoreEnrichmentHandler, allowing Apache Beam pipelines to connect to and retrieve features from Tecton's online feature store.
• Example Snippet for Tecton Enrichment: Added a new example function, enrichment_with_tecton, demonstrating how to use the new Tecton enrichment handler within a Beam pipeline to enrich data with features from Tecton.
• Unit Tests for Tecton Integration: Included corresponding unit tests in enrichment_test.py to validate the functionality of the Tecton feature store enrichment example, ensuring correct data retrieval and processing.
• Dependency Update: Added tecton-client as a new dependency in setup.py to support the integration with Tecton Feature Store.

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[mohamedawnallah]

waiting on the author