ci: add mlops-sklearn-starter profile and github-setup support (fixes #92) - #179
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emberb170d wants to merge 5 commits into
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ci: add mlops-sklearn-starter profile and github-setup support (fixes #92)#179emberb170d wants to merge 5 commits into
emberb170d wants to merge 5 commits into
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…-App#119 Added comprehensive authoring rules, checklist, and rationale guidance for declarations in templates.json. This addresses issue Create-Python-App#119: docs: document incompatibleWith authoring rules in AUTHORING.md Changes: - Added 5 authoring rules for incompatibleWith declarations - Added checklist for new incompatibleWith entries - Referenced templates.schema.json validation - Defined when to use vs skip incompatibility
…reate-Python-App#92) - Create ci/profiles/mlops-sklearn-default.json for AI/ML CI trust requirements (issue Create-Python-App#92): bare L1 job + L2 pytest on generated project - Add mlops-sklearn to github-setup extension types so CI profiles and L2 extension jobs cover the sklearn MLOps template - Both templates.json and ci/profiles validated against registry
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… fastapi-opentelemetry - Add mlflow-tracing vs opentelemetry incompatibility to matrix in docs/AI_ML_AUTHORING.md - Declare incompatibleWith on both extensions in templates.json - Neither exists yet; document the rule for when they ship Co-authored-by: openhands <openhands@all-hands.dev>
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Thanks for the follow-up! The CI profile work itself looks on track, but the branch currently conflicts with Please rebase onto the latest |
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ulises-jeremias
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- Add fastapi-observability (github-setup + fastapi-cors + fastapi-sqlalchemy + fastapi-opentelemetry + fastapi-rag-pgvector) covering 4 orphans with distinct categories (ci/security/database/observability/ai-ml) - Add fastapi-data (pre-commit + fastapi-redis + fastapi-rate-limit + fastapi-mlflow-tracing) covering remaining 4 fastapi orphans (ci/database/security/observability) — respects category uniqueness (one per category) - Add django-full (github-setup + development-container + django-docker + postgres + django-spectacular) covering django-spectacular orphan - Add mlops-sklearn-default (mlops-sklearn-starter + github-setup) as per PR #179 — cherry-picked profile and github-setup type extension for mlops-sklearn; pre-commit orphan is covered via fastapi-data (cannot co-locate ci category with github-setup in same profile) - Update templates.json: add mlops-sklearn to github-setup type array for L2/L3 coverage - All 18 extensions now covered by at least one L3 profile (0 orphans); validated via generate-matrix.py --layer validate-profiles and validate-registry.py Fixes orphan coverage noted in W4-1 and §3 (9/18 extensions orphan: cors, redis, sqlalchemy, otel, rate-limit, mlflow-tracing, rag-pgvector, django-spectacular, pre-commit) Co-authored-by: ulises-jeremias <ulises.jeremias@example.com>
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Superseded by #187 which landed same profile via W4, closing. Thanks @emberb170d! |
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Problem
Issue #92 requests AI/ML CI trust requirements: bare L1 jobs for every new AI/ML template type, L2 pytest on generated projects, and documentation in each AI/ML profile under `ci/profiles/`.
The `mlops-sklearn-starter` template exists in the registry but had no CI profile, and the `github-setup` extension didn't declare `mlops-sklearn` as a supported type — so L2 extension jobs and L3 profiles never exercised it.
Solution
and L2 extension jobs cover the sklearn MLOps template.
This fulfills the acceptance criteria:
User Impact
MLOps sklearn starter templates now get first-class CI coverage: scaffold integrity, lint, type-check, and pytest in generated projects.
Fixes #92