Technical alignment: cross-source package metadata verification as a downstream QA layer
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Évaluation
- Difficulté
- 5/5
- Temps estimé
- Plus d'une semaine
- Accessibilité débutants
- 18/100
Piste de recherche
This is a design discussion, not a code task: the three questions are for maintainers to answer about purl-validator's roadmap, its scope, and whether it wants a report format or ScanCode.io hook. Start by checking the repo's roadmap and existing validation code for scope, and read the linked pkgmeta-verify schemas/pmv-output.schema.json only for context. Done means the maintainers answer the scope and interface questions, which needs their input before anyone builds.
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Description
Technical alignment: cross-source package metadata verification as a downstream QA layer
Hi AboutCode team — I'm building a small, independent verification component that consumes existing metadata sources (registry APIs, deps.dev, ClearlyDefined, PurlDB) and produces verdicts about cross-source consistency with provenance, timestamps, and reproducible evidence. It is explicitly not another aggregator or scanner: it does not rebuild PURL databases, license scanning, or vulnerability deduplication. Think of it as a downstream QA layer that could plug into aggregation pipelines (e.g. CodeSupply's).
Before going further I wanted to check technical fit with purl-validator, since it is the closest existing piece.
What it does (PMV v0.1, Apache-2.0): https://github.com/yijigao/pkgmeta-verify
- Normalizes the same PURL across ≥2 sources per ecosystem (npm, PyPI), then adjudicates each field/version into one of:
REAL_ERROR/SYNC_DELAY/SEMANTIC_DIVERGENCE/INDETERMINATE(undecidable), each with source, timestamp, and an audit trail. - Hard rules: digest comparison only for same artifact + same algorithm; missing publication time →
undecidable, never assumed delay; empty evidence →undecidable, neverCONSISTENT. - Output schema (JSON Schema 2020-12, all instances validated):
schemas/pmv-output.schema.jsonin the repo.
Two real cases it caught (snapshots + SHA-256 manifest in evidence/):
pkg:npm/[email protected]→SEMANTIC_DIVERGENCE(license expression conjunction mismatch across sources; neither side auto-accepted).pkg:pypi/[email protected]→SYNC_DELAY(downstream lag, reported as a provable delay range only — fetch time is not treated as upstream update time).
Concrete questions:
- Does
purl-validator's roadmap include version-level existence / cross-source field-consistency checks, or is that intentionally out of scope? (I saw it currently validates base PURL existence.) - Is there an interface you'd prefer for consuming third-party verdicts like these (e.g. a specific report format, or a hook in ScanCode.io pipelines)?
- Any objection to me citing purl-validator as the "base existence layer" and this component as the "field/version consistency layer" in a funding proposal? No endorsement implied — just accurate layering.
This is a technical alignment ping only; I'm not asking for endorsement or merge commitment. Any feedback on fit or interface is welcome.
- Langage dominant
- Python
- Étoiles
- 0
- Forks
- 2
- Métriques de merge des PR
- Aucune PR mergée en 30 j
Préparer son environnement
Ce projet ne fournit ni conteneur de développement, ni Dockerfile, ni guide de contribution : l'installation est à votre charge. Commencez par son README, et consultez notre guide de la première contribution pour les étapes générales.
Par où commencer
- Lisez l'issue en entier, puis le guide de contribution du projet.
- Signalez en commentaire que vous la prenez — cela évite que deux personnes fassent le même travail.
- Forkez le dépôt et travaillez sur une branche.
- Ouvrez une pull request qui référence le numéro de l'issue.
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