feat: add siteopsSource parameter for cross-repo pipeline reuse#6
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digimaun merged 3 commits intoAzure:mainfrom Mar 17, 2026
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Add siteopsSource/siteops-source parameter to setup templates on both ADO and GHA platforms. When provided, installs siteops from the given pip source instead of local editable install, enabling downstream repos to reference these templates cross-repo. Backward compatible: defaults to empty string, preserving existing pip install -e . behavior when no source is specified. Changes: - .github/actions/setup-siteops/action.yaml: siteops-source input - .github/workflows/_siteops-deploy.yaml: siteops-source input, threaded - .pipelines/templates/setup-siteops.yaml: siteopsSource parameter - .pipelines/templates/siteops-deploy.yaml: siteopsSource parameter, threaded
Replace shell/jq dot-notation parser with Python + PyYAML for generating sites.local overlay files. The previous implementation only handled one level of nesting (e.g. parameters.clusterName). The new implementation correctly expands any depth of dot-notation keys (e.g. parameters.dataflowIdentity.clientId) into properly nested YAML. Both GHA and ADO templates updated symmetrically.
GHA: Use siteops-source as cache key when provided, falling back to hashFiles(pyproject.toml) for local installs. Prevents weak/colliding cache keys when cross-repo consumers lack pyproject.toml. ADO: Same conditional cache key logic using siteopsSource parameter. ADO: Add enableCache parameter (default true) to setup-siteops template. The deploy template passes enableCache=false since ADO deployment jobs cannot access pipeline caching scopes. This eliminates the post-job Cache error entirely rather than masking it with continueOnError.
shkalavala
approved these changes
Mar 17, 2026
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Enable downstream repos to reference GHA and ADO pipeline templates
without a local siteops checkout. When siteopsSource is provided,
pip installs from the given source instead of local editable install.
Also includes:
dot-notation nesting depth (replaces shell/jq single-level parser)
Cache@2 in deployment jobs where caching scopes are unavailable)