# OnCo reference-slice conformance test (planned / opt-in) Purpose: validate content-explorer against the *real* upstream UX and data topology, without treating the OnCo corpus as product data. This is an additional test track, not a replacement for CC0 generic fixture tests. ## Non-negotiable rights boundary - OnCo **software** is MIT; OnCo **curated dataset** is CC BY-NC 4.0, with its own `LICENSE-DATA`. This repository contains **no copied OnCo dataset**. - The upstream data terms expressly classify **a company's internal data pipeline** as commercial use requiring the rightsholder's agreement. **Small slices and private tests do not automatically create an exception**. Before importing real records in an organizational/commercial workflow, obtain written permission or a suitable license, or get independent legal approval for a defensible exception. Until then, use synthetic fixtures and references/URLs only. - Record authorization in a *private* `authorization.json` document. Do not commit it if it contains contacts/confidential terms. Publication and CI distribution require separate permission evaluation. - Attribution wherever permitted OnCo content is presented: `Data from OnCo (onco.cc)` linking to https://onco.cc; license link https://creativecommons.org/licenses/by-nc/4.0/; source URL, upstream SHA, accessed date, modification notice, and original upstream links. Inspect third-party assets separately; no logo/portrait copying by default. - No patient/personal health records, no clinical conclusions, no medical-advice claims. ## Reference slice selection (target ~12–25 nodes, not a corpus fork) Choose a connected induced/test subgraph from an immutable upstream commit. Include one of each: cancer, treatment/drug, target, technology, clinical trial, key paper, institution and glossary term; optionally a person and idea if rights permit. Choose real items **after** authorization and upstream pinning, not by hard-coded contemporary medical claims. Coverage requirements: 1. At least two different types of edges and an inverse/backlink traversal. 2. At least one one-to-many relationship and one multi-hop path (depth >= 3). 3. At least one entity with >1 provenance link; dated TL;DR and technical summary. 4. At least one missing optional field, and at least one unresolved relation handled explicitly (not silently erased). 5. Two filter facets, full-text query and a stable URL deep link. 6. A few controlled mutations: renamed title, removed node, bad cross-reference, duplicate id, license metadata removed (all modifications clearly tagged as local tests, never represented as upstream facts). ## Proposed workflow **Gate A — authorization:** verify rights and record intended use; CI containing the real dataset must remain disabled without sufficient grant. **Gate B — pin & extract:** pin upstream commit (`git rev-parse HEAD`), document source paths and entity ids in `slice-selection.yaml`; extractor reads only enumerated records. Compute sha256 of originals and emitted projection. No bulk download/auto-discovery as a side effect of normal builds. **Gate C — dual oracle:** run the pinned OnCo implementation as reference and capture results for identical user tasks, using stable screenshots and structured browser/graph assertions. Use the *same pinned records* through the connector to make comparable content states; preserve expected divergences in an explicit exception list. **Gate D — conformance:** test source -> projection -> view model -> route using schema tests, semantic invariants, Playwright browser journeys, and visual snapshots. Record each mismatch as extraction, mapping, semantics, presentation, or upstream instability. **Gate E — reproducibility:** publish hashes, commit SHA, normalized test descriptions and aggregate results only when permitted; distribute synthetic fixtures as the default executable public tests. Never upload the OnCo slice as a CI artifact without authorization. ## Run profiles - `public-ci`: synthetic fixtures only; completely offline and distributable. - `licensed-reference`: locally provisioned real slice, explicitly enabled after authorization; never default, no automatic telemetry/artifact export. - `visual-upstream`: uses browser captures from pinned upstream locally; screenshots may have independent IP considerations; approval needed before publication. ## Acceptance gates - [ ] Signed-off authorization and permitted scope recorded before any organization-run OnCo data extraction. - [ ] Slice manifest enumerates pinned upstream SHA, 12–25 ids, files, types, edges, provenance and expected license/attribution. - [ ] Extractor is allowlist-only and deterministic; no unrequested expansion to linked entities. - [ ] Projection preserves node identity, types, relations, as-of metadata, citations, missingness and applicable rights. - [ ] ≥95% of agreed deterministic behavioral assertions match reference, with **zero** silent link loss and **zero** missing required attribution; exact threshold can be revisited after baseline measurement. - [ ] Visual differences categorized and reviewed; compare viewport/font/environment under pinned baseline, rather than requiring arbitrary pixel-perfect equality. - [ ] Public CI passes with no OnCo corpus available; disabling the licensed dataset never breaks product features. - [ ] Oncology slice and two unrelated synthetic domains exercise exactly the same UI code paths (except declarative presentation configuration). ## Evidence `reference-manifest.json`, `baseline-report.md`, `projection-diff.json`, `journey-results.json`, `visual-review.md`, `rights-review.md` (non-confidential). Keep raw licensed data in ignored local directories.