chore(deps): update apache/beam_python3.10_sdk docker tag to v2.69.0

[renovate-bot]

This PR contains the following updates:

Package	Type	Update	Change
apache/beam_python3.10_sdk	final	minor	2.62.0 -> 2.69.0
apache/beam_python3.10_sdk	stage	minor	2.62.0 -> 2.69.0

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[gemini-code-assist]

Summary of Changes

Hello @renovate-bot, 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 updates the Apache Beam Python 3.10 SDK Docker image version across multiple Dockerfiles within the repository. The change from version 2.62.0 to 2.69.0 is a minor version bump, aiming to incorporate the latest improvements and bug fixes from the Beam SDK into the affected projects without introducing breaking changes. This ensures that the examples and templates are built with a more current and stable foundation.

Highlights

• Dependency Update: The apache/beam_python3.10_sdk Docker image tag has been updated from v2.62.0 to v2.69.0.
• Scope of Change: This update affects six Dockerfiles across various dataflow and AI examples, ensuring consistency in the Apache Beam SDK version used.

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[gemini-code-assist]

Code Review

This pull request updates the apache/beam_python3.10_sdk Docker image tag to v2.69.0 across several Dockerfiles. However, this introduces a version mismatch with the apache-beam library version specified in the corresponding requirements.txt files for each example. For Apache Beam to function correctly, the SDK version from the base image and the library version used in the pipeline code must match. I've left comments on each Dockerfile to highlight the specific requirements.txt file that needs to be updated. Please update the apache-beam dependency in all relevant requirements.txt files to 2.69.0 to resolve these potential runtime issues.

[gemini-code-assist]

The Beam SDK version in the Docker FROM instruction (2.69.0) does not match the apache_beam version in dataflow/gemma-flex-template/requirements.txt (2.66.0). As noted in the comment on line 32, these versions should match to avoid runtime issues. Please update the apache_beam version in requirements.txt to 2.69.0.

[gemini-code-assist]

There is a version mismatch between the Beam SDK version (2.69.0) and the apache-beam version in dataflow/gpu-examples/pytorch-minimal/requirements.txt (2.48.0). Using mismatched versions can lead to runtime errors. Please update the apache-beam version in requirements.txt to 2.69.0.

[gemini-code-assist]

The Beam SDK version (2.69.0) does not match the apache-beam version in dataflow/gpu-examples/tensorflow-landsat-prime/requirements.txt (2.58.1). As the comment on line 37 suggests, these versions should match. Please update the apache-beam version in requirements.txt to 2.69.0 to ensure compatibility.

[gemini-code-assist]

There is a version mismatch. The Beam SDK version is updated to 2.69.0, but the apache-beam version in dataflow/gpu-examples/tensorflow-landsat/requirements.txt is still 2.58.1. To prevent potential runtime issues, please update the apache-beam version in requirements.txt to 2.69.0.

[gemini-code-assist]

The Beam SDK version has been updated to 2.69.0, but the apache-beam version in dataflow/gpu-examples/tensorflow-minimal/requirements.txt remains 2.46.0. This significant version difference can cause issues. Please update the apache-beam version in requirements.txt to 2.69.0.

[gemini-code-assist]

The Beam SDK version is now 2.69.0, but the apache-beam version in people-and-planet-ai/timeseries-classification/requirements.txt is 2.46.0. As the comment on line 27 indicates, these versions should match. Please update the apache-beam version in requirements.txt to 2.69.0.