Derive object storage buckets from namespace

[geier]

Summary

• Derive default object storage bucket names from the current Kubernetes namespace across notebooks, pipeline submission, and RStudio examples.
• Remove manual bucket placeholders and update docs to reference the default <namespace>-data bucket.
• Replace product-specific storage wording with generic object storage terminology across tracked examples.
• Keep the existing default mc CLI alias where it is required for artifact download commands.
• Strip the namespace value in the KServe object storage example before using it in bucket names and internal URLs.

Related

• prokube/dev-tracker#281

Tests

• python3 -m json.tool serving/minimal-s3-model/minimal-s3-model.ipynb
• python3 -m json.tool notebooks/mobile-price-classification/mobile-price-classifications.ipynb
• python3 -m json.tool pipelines/lightweight-components/mobile-price-classifications.ipynb
• python3 -m json.tool mlflow/mobile-price-classification/mlflow-mobile-price-classification.ipynb
• python3 -m json.tool mlflow/mlflow-kfp-example.ipynb
• python3 -m py_compile pipelines/lightweight-python-package/submit-cluster.py pipelines/lightweight-python-package/pipeline.py pipelines/lightweight-python-package/src/mobile_price_classification/read_data.py
• git grep -n -i minio -- . returns only the default mc CLI alias usage in pipelines/lightweight-components/mobile-price-classifications.ipynb
• git diff --check

Notes

• R syntax parsing was not run because Rscript is not installed in the local environment.

[Copilot]

Pull request overview

Replaces manual MinIO bucket placeholders with namespace-derived <namespace>-data defaults across notebooks, pipeline scripts, and RStudio examples, and updates docs/comments to use generic "object storage" terminology while keeping the mc CLI alias usage.

Changes:

• Read the Kubernetes service account namespace at runtime and derive s3_bucket = f"{namespace}-data" in Python notebooks/scripts and R examples; strip whitespace from the namespace value.
• Rename pipeline/component parameters from minio_*_data_path to *_data_path and pull the cluster S3 endpoint from S3_ENDPOINT (replacing the hardcoded http://minio.minio).
• Rephrase MinIO-specific docs/comments to generic object storage terminology (READMEs, notebook markdown, docstrings).

Reviewed changes

Copilot reviewed 15 out of 15 changed files in this pull request and generated no comments.

Show a summary per file

File	Description
README.md	Generic phrasing for self-hosted S3-compatible storage instead of MinIO.
serving/minimal-s3-model/README.md	Generic object storage wording.
serving/minimal-s3-model/minimal-s3-model.ipynb	Strip namespace; rename inference service; object-storage wording.
rstudio/iris-classification/README.md, .r	Derive bucket from namespace; update wording.
rstudio/mobile-price-classification/README.md, .r	Same pattern as iris example.
pipelines/lightweight-python-package/submit-cluster.py	Derive bucket from namespace; rename pipeline args.
pipelines/lightweight-python-package/pipeline.py	Rename component/pipeline params; use S3_ENDPOINT env.
pipelines/lightweight-python-package/src/.../read_data.py	Rename params and update docstring.
pipelines/lightweight-python-package/README.md	Update workflow notes for default bucket.
pipelines/lightweight-components/mobile-price-classifications.ipynb	Derive bucket from namespace; rename params; use S3_ENDPOINT.
notebooks/mobile-price-classification/mobile-price-classifications.ipynb	Derive bucket from namespace; rename data path variables.
mlflow/mobile-price-classification/mlflow-mobile-price-classification.ipynb	Same namespace/param updates plus S3_ENDPOINT usage.
mlflow/mlflow-kfp-example.ipynb	Docstring wording update only.

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