Make google-cloud-aiplatform[evaluation] an optional extra in providers-google#69399
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There seem to be changes for two issues in this PR. Can you please move these into two, separate PRs?
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…itellm/scikit-learn bloat The [evaluation] extra of google-cloud-aiplatform transitively installs litellm, scikit-learn, ruamel-yaml and a full HF/tokenizers chain that is irrelevant to users of GCSHook, BigQueryHook, or most other Google provider features. It also surfaces a steady stream of litellm proxy CVEs in pip-audit for every provider user, even when litellm is never used. Changes: - pyproject.toml: drop [evaluation] from the base dep; add a new "vertex-ai-evaluation" optional extra that provides it for users who need the Rapid Evaluation API. - generative_model.py: guard the vertexai.preview.evaluation import with try/except; raise an informative ImportError from get_eval_task() and run_evaluation() when the extra is not installed, pointing users to pip install apache-airflow-providers-google[vertex-ai-evaluation]. Fixes: apache#69323
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Motivation
Closes #69323
apache-airflow-providers-googledeclaresgoogle-cloud-aiplatform[evaluation]as an unconditional base dependency. The[evaluation]extra transitively installs:This bloats the install for every user of the provider, even those who only need
GCSHook,BigQueryHook, or other features unrelated to Vertex AI evaluation. It also surfaces a constant stream oflitellmproxy-server CVEs inpip-auditfor all provider users.Changes
providers/google/pyproject.tomlgoogle-cloud-aiplatform[evaluation]>=1.155.0togoogle-cloud-aiplatform>=1.155.0vertex-ai-evaluationthat providesgoogle-cloud-aiplatform[evaluation]>=1.155.0for users who need the Rapid Evaluation APIgenerative_model.pyfrom vertexai.preview.evaluation import EvalResult, EvalTaskwithtry/except ImportErrorget_eval_task()andrun_evaluation()raise an informativeImportErrorwhen the extra is not installed, pointing users topip install 'apache-airflow-providers-google[vertex-ai-evaluation]'Upgrade path
Users who rely on Vertex AI evaluation operators (
RunEvaluationOperatoretc.) add the explicit extra:pip install 'apache-airflow-providers-google[vertex-ai-evaluation]'All other users get a smaller, CVE-quieter install with no behaviour change.