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nightly-triage

Testing & Quality
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Triage a failing Shopware nightly / multi-job PHPUnit CI run (e.g. integration-major). Extract every failing test from the run's job logs, resolve each to its owning domain via #[Package] markers, cluster failures by error signature into root causes, verify opaque clusters with a local Docker reproduction, then file one GitHub issue per domain plus a parent tracking issue — routing collateral failures to the root-cause owner. Use when the user links a failing Actions run or job, asks to "identify all failing tests" from a nightly, asks to triage integration-major / a red nightly, or wants CI failures grouped into per-team issues.

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Nightly CI-Failure Triage

Turn a red multi-job PHPUnit CI run into a small set of root-cause-grouped, correctly-routed GitHub issues. Built from the 2026-07-03 integration-major sweep (412 failing tests → 6 domain issues + 1 parent, ~9 root causes).

Core principles

  1. Cluster before you file. Hundreds of failing tests usually collapse into a handful of deterministic root causes (schema migration, Required() field change, deprecation enforcement, exception-class refactor). Never file per-test; never file per-shard.
  2. Root-cause owner wins over test-file owner. A confirmed root cause re-routes ALL its member tests to the owning domain, regardless of each test file's #[Package] marker (e.g. framework DAL tests broken by product.type → inventory). An unconfirmed mechanism does NOT move a test — keep it with the test owner and add a "needs investigation" note.
  3. Verify opaque clusters locally before filing. --log-failed truncates nested errors (WriteException: There are N error(s) hides the detail). Reproduce in Docker before asserting a cause — see references/REPRODUCTION.md for the exact recipe and its traps.
  4. Confirmed ≠ plausible. Sample the actual failing variant — an assertion-failure sibling of a WriteException test can pass locally and have a different (schema-dependent) cause. Say "mechanism TBD" when it is.

Workflow

Step 0 — Dedupe against previous nightlies. gh issue list --search "[nightly]" --state open. If tracking issues from a previous run exist, UPDATE those (comment with the new run, adjust test lists) instead of filing a new set. Only file fresh issues for a first-of-its-kind run.

Step 1 — Inventory the run. gh run view <run-id> --json jobs → failing job IDs and names. The job/shard names are the "job area" axis.

Step 2 — Extract failing tests per shard. Download each failing job's --log-failed, extract N) Shopware\Tests\...::method entries, dedupe. Exact commands and regexes: references/PIPELINE.md.

Step 3 — Resolve each test to a domain. #[Package] marker on the test file → mirrored src/ file → dominant package of the mirrored dir → path heuristic. Apply the routing overrides FIRST. Mapping and overrides: references/ROUTING.md.

Step 4 — Cluster by error signature. Capture each test's first meaningful error line; normalize (hex IDs, numbers); group. Check clusters against the known-cause catalogue and known flaky patterns in references/ROUTING.md before treating anything as new.

Step 5 — Reproduce what's opaque. For each cluster whose mechanism the log doesn't prove, run one member test locally per references/REPRODUCTION.md. Runtime-flag repro first (cheap); full major DB only if it passes with flags (schema-dependent cause).

Step 6 — Draft, approve, file. One issue per domain × job area + one parent tracking issue. Draft bodies to the scratchpad and get explicit user approval before any gh issue create/edit (issue writes are never pre-authorized). Templates and required sections: references/PIPELINE.md § Issue generation. After creating children, create the parent with the summary table, then prepend Tracking issue: #<parent> to each child.

Step 7 — Restore the local env if Step 5 touched the test DB (references/REPRODUCTION.md § Restore) and verify with a probe test.

Deliverable

  • N domain issues + 1 parent tracking issue (or updates to an existing set), every failing test attributed exactly once, totals reconciled.
  • A closing summary: cluster table, what was reproduced vs. mechanism-TBD, what was deliberately not moved and why.