53 lines
4.0 KiB
Markdown
53 lines
4.0 KiB
Markdown
# QA-001 job-analysis and important-term quality
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Updated: 2026-08-09
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Status: `IMPLEMENTED — NOT VERIFIED`. Deterministic fixtures, backend/frontend regressions and production build pass. Browser and production presentation checks remain.
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## Revalidated execution path
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- URL imports already convert structured job-posting HTML to text and run lightweight Norwegian/English language detection plus `SkillTagger`. Manual descriptions and notes can still contain HTML/noise.
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- The visible problematic terms originate in `JobCvMatchService`: curated skills are combined with frequency-ranked single tokens from description, translated description and notes. Its stop list was English-only and did not clean raw HTML at this boundary.
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- The separate application-analysis endpoint exposes only curated tags in its `Keywords` field, and the current Analysis UI does not render that field. No AI prompt produces the deterministic match terms.
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- Match output is recomputed on every request; there is no stored analysis/result row or version to migrate. Missing-term learning items are derived through `SyncLearningRecommendationsAsync`, which preserves user-completed/dismissed decisions and auto-completes only obsolete pending generated items.
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## Implemented contract
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- The shared matcher removes script/style/navigation/header/footer blocks, remaining tags and decoded source chrome before analysis while preserving line boundaries.
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- English and Norwegian function words, generic recruitment filler and common consent/navigation text are suppressed by category, not only by the reported examples.
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- Stop words split bounded phrase runs. Useful two-to-four-word responsibility/domain phrases are ranked ahead of remaining single terms; tokens already represented by a phrase are not repeated as isolated advice.
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- Curated, canonical tags now preserve C++, ASP.NET Core, Entity Framework Core, Go/Golang context, Next.js, Terraform, Azure DevOps, Kafka, Redis and Linux. Existing C#, .NET, Node.js and CI/CD punctuation remains intact.
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- The UI says “important terms” rather than implying opaque SEO-style keywords, with equivalent Norwegian copy.
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- Deterministic processing remains local and free; no model or external provider was added.
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## Verification
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- Seven required fixtures pass: Norwegian, English, mixed, short, noisy HTML, technology-heavy and repeated recruitment filler.
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- Final focused matcher: 15/15. Wider affected backend set: 54/54.
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- Full backend: 601/601.
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- Focused match/analysis UI: 13/13; final label test 3/3.
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- Full frontend: 48/48 suites and 172/172 tests.
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- Production frontend build/TypeScript and `git diff --check`: pass.
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## Version and regeneration behavior
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There are no historical analysis blobs to silently rewrite. The next GET recomputes from current job/CV text. When the missing-term set changes, existing sync logic creates new generated learning items, auto-completes obsolete pending generated items, and leaves explicit user decisions intact. No schema or data migration is required.
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## Remaining gates
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- The browser session had already been finalized after UX-002; QA-001 label/chip presentation, empty/error/long Norwegian content and 375/768/1440 Light/Dark browser checks were not run in this package.
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- Synthetic production comparison and rollout monitoring remain unavailable without deployment access.
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- The curated vocabulary is intentionally bounded. New technologies should be added with representative false-positive tests rather than learned from private job data.
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## Evidence
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- Evidence index: `docs/audits/evidence/qa-001/README.md`
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- Commands/results: `docs/audits/verification-log.md` V-114–V-116
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- Backend fixtures: `JobTrackerApi.Tests/JobCvMatchServiceTests.cs`
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- Frontend label coverage: `job-tracker-ui/src/match-score-panel.test.tsx`
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- Implementation commit: `da1aa8b`
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## Rollback
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Revert `da1aa8b`. No database downgrade, dependency rollback or cache purge is required. Existing generated learning decisions remain in history; the next request will derive the older term set again.
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