[test only] Run GCP Xlang Dataflow test

[Abacn]

investigate #34990

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Summary of Changes

Hello @Abacn, 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 is primarily a 'test only' change aimed at triggering a specific GCP Xlang Dataflow test for Python. Concurrently, it removes the Spanner vector store writer module and its associated integration tests from the Beam Python SDK's ML RAG ingestion components. This suggests a cleanup or deprecation of the Spanner integration within the RAG module, possibly as part of a broader refactoring or to streamline the codebase, while also ensuring a critical cross-language Dataflow test is executed.

Highlights

• CI Test Trigger: The beam_PostCommit_Python_Xlang_Gcp_Dataflow.json configuration file was modified to explicitly include the current pull request number, likely to force the execution of the associated GCP Xlang Dataflow test.
• Spanner RAG Ingestion Module Removal: The entire spanner.py file, which provided the SpannerVectorWriterConfig and related components for writing vector data to Google Cloud Spanner within Beam's ML RAG ingestion framework, has been removed.
• Spanner RAG Integration Tests Removal: The corresponding integration tests for the Spanner vector writer, located in spanner_it_test.py, have also been completely removed.

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[Abacn]

It might be the conflict of Spanner emulator introduced here:

https://github.com/claudevdm/beam/blob/8f9660483adf5a1ebc6cbb6e45bfeeb09a38f3a4/sdks/python/apache_beam/ml/rag/ingestion/spanner_it_test.py#L76

The environment variable leaked into irrelevant tests trying to use Spanner enumerator but not exist. Testing on reverting the PR