47 lines
2 KiB
Markdown
47 lines
2 KiB
Markdown
# ultrareview determinism fixtures
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Synthetic fixtures for the Jaccard-similarity determinism test in
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`tests/lib/review-determinism.test.mjs`.
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## What's here
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- `review-run-A.md` — synthetic review with 5 findings on a fictional JWT auth task
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- `review-run-B.md` — same fictional task, "re-reviewed" — same 5 findings as A plus 1 extra (a placeholder TODO that A missed)
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## Construction
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Run A's finding-IDs are a strict subset of Run B's (`A ⊂ B`), so:
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- Intersection: `|A ∩ B| = 5`
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- Union: `|A ∪ B| = 6`
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- Jaccard: `5 / 6 = 0.833…` (above the 0.70 SC4 threshold from `brief.md`)
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Each ID is a real 40-char SHA1 computed via `lib/parsers/finding-id.mjs`:
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`sha1(file:line:rule_key)`. Don't hand-edit the IDs — recompute via the helper if
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you change the underlying `(file, line, rule_key)` triplet, or both fixtures will
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fall out of sync.
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## Why synthetic for v1.0
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Hand-curated for v1.0. Edit JSON IDs directly to test new Jaccard scenarios.
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Real-LLM determinism measurement is deferred to v1.1 once `/ultrareview-local`
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has produced enough real outputs to capture as fixtures.
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These fixtures prove the Jaccard PIPELINE works given a known input — they do
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NOT measure real LLM determinism. The brief's SC4 (Jaccard ≥ 0.70 across two
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runs) is verified at the pipeline level today; capturing real LLM runs to
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verify the model-level claim is open work for v1.1.
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## Adding a new scenario
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1. Pick `(file, line, rule_key)` triplets — `rule_key` must be one of the 12
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keys in `lib/review/rule-catalogue.mjs`.
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2. Compute IDs via:
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```bash
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node -e "import('./lib/parsers/finding-id.mjs').then(({computeFindingId}) => console.log(computeFindingId('lib/foo.mjs', 42, 'SECURITY_INJECTION')))"
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```
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3. Add the IDs to `findings:` block-style YAML in frontmatter and to `### <id>`
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subsections in the body.
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4. Run `node lib/validators/review-validator.mjs --json tests/fixtures/ultrareview/review-run-X.md`
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to confirm the fixture validates.
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5. Update `tests/lib/review-determinism.test.mjs` if you want a new assertion.
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