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Set up end-to-end pytest with CI and requirement traceability - #33
Make end-to-end pytest results available in CI and the requirement verification report, providing the foundation for migrating the existing shell assertions in a separate PR.
Changes
Add a local Bazel pytest target and helpers that run against the checked-in consumer workspace. Reuse its existing output base and the host download cache so toolchains remain unpacked between runs.
Add one CLI case verifying the missing-report diagnostic and exit code 2, with requirement metadata. Delete any existing generated report before running the check.
Run pytest alongside the existing shell pipeline, retain the coverage artifact, and combine end-to-end and unit-test JUnit results for the documentation build.
AlexanderLanin
changed the title
Set up traceable end-to-end pytest infrastructure
Set up end-to-end pytest with CI and requirement traceability
Oct 9, 2026
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🟢 Approval recommended
The implementation is coherent, with only a minor documentation terminology correction identified.
0 open findings
Previously missed (1)
In code that hasn't changed since last review
Name the @verifies decorator instead of the score_pytest rule
docs/verification/verification_report.rst:103
This names the wrong mechanism: score_pytest is the Bazel rule, while the function metadata is attached by the custom @verifies decorator in tests/end_to_end/testcases/_blackbox_support.py. Naming the actual decorator keeps the traceability documentation actionable and consistent with the code.
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Why
Make end-to-end pytest results available in CI and the requirement verification report, providing the foundation for migrating the existing shell assertions in a separate PR.
Changes