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0pt/services/api
Simon AxelssonandClaude Sonnet 5 9740e20818
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feat(data-os): TS/Python quality bridge + provenance fields + fault-injection tests
Continues P010 (branch renamed from feat/p010-source-registry-persistence):
closes the three remaining BEFORE_STATE.md gaps (§2 TS/Python split-brain,
§3 missing provenance fields, §4 untested failure modes), all additive to
the production pipeline — the Python QA filter's delivery decision is
unchanged by any of this.

TS/Python bridge (§2):
  - New route surface app/api/0pt/quality/* (rules/runs/issues CRUD +
    POST /api/0pt/quality/bridge-run) over the shared QualityService
    singleton (src/services/quality.ts), fixing the same "no shared
    instance" defect the Source Registry had.
  - src/quality/quality-bridge.ts auto-provisions a deterministic,
    tenant-scoped baseline rule set on first use so the Python engine never
    pre-registers rules through the CRUD surface.
  - services/api/workers/quality_bridge.py: the Python-side HTTP client.
    Feature-flagged off by default (OPT_QUALITY_BRIDGE_ENABLED), fails open
    on any error (never raises into run_job, never changes `delivered`).
    Advisory only — real per-row gating against the TS engine isn't
    implementable yet (ExpectationEngine returns dataset-level pass/fail
    counts + samples, not a per-row boolean array); documented, not faked.
  - Live-verified end-to-end: `next dev` (AUTH_ENFORCE=false) + the real
    Python pipeline hitting the real brreg.no API, round-tripping through
    the real bridge route, receiving a real QualityService score.

Provenance (§3): sources/connectors.py's Provenance dataclass gains
retrieved_at, transform, connector_version, producer, quality,
entity_resolution, artifact_ref (all previously absent from the real
dataflow entirely) via a make_provenance() factory used by every connector.
resolve.py stamps entity_resolution on merged records' provenance (never on
unmerged ones). pipeline.py stamps artifact_ref at delivery and quality
once the bridge succeeds.

Failure tests (§4), real fault injection against real code (services/api,
new pytest + respx suite, not vitest mocks):
  - dedup-determinism + duplicate-input + out-of-order: resolve.py under
    shuffled/interleaved/exhaustive-permutation input, plus an explicit,
    verified test of the one case that IS legitimately order-sensitive
    (non-transitive similarity in a greedy clusterer) instead of hiding it.
  - schema-evolution: respx-mocked upstream responses with added/removed/
    alien-shaped fields through the real brreg connector + pipeline.
  - restart: connector exceptions mid-job (including one from respx itself)
    never crash run_job.
  - backfill: the real property that holds given no persistence layer
    exists (replay is compute-idempotent) — NOT a fabricated dedup-store
    test.
  - CDC-interruption and true backfill/delivery-store idempotency:
    explicitly documented as not implementable against this codebase
    (no CDC pipeline, no delivery store exist anywhere) via skip markers
    with reasons, in tests/test_known_gaps.py, rather than silently
    dropped or faked.

Testing: 256/256 vitest (249 pre-existing + 7 new bridge route/service
tests) and 28/28 pytest (2 documented skips) green locally. tsc -p
tsconfig.check.json has zero new errors (14 pre-existing errors, all in
the untracked/unaudited src/fleet, src/graph, src/metrics, src/projections
paths this pass does not touch, per BEFORE_STATE.md).

No PR opened, per instructions.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-09-01 21:02:14 +02:00
..

0pt data engine (services/api)

The legal data motor (docs/06). FastAPI orchestrator + worker pipeline that turn compliant sources into delivered, provenance-tagged data. Runs on a VPS via ../../infra/docker-compose.yml — not on Vercel (long jobs).

Sourcing boundary (CLAUDE.md §1 — non-negotiable)

Per field × market, in strict order: official API/bulk → authorized public web (robots + rate limits) → licensed partner data → otherwise level 0 "ej tillgänglig". We never invent values.

Deliberately excluded (never add here): WAF/bot-detection bypass, FlareSolverr, stealth/undetected browsers, proxy/fingerprint rotation to evade bans, scraping behind login walls, automated fake-account creation. This is the honest-accuracy moat.

Layout

  • sources/connectors.py — compliant connectors (GLEIF, Brønnøysund, Companies House live; PRH/CVR/Bolagsverket gated on verified terms → level 0 until wired).
  • sources/sources.yaml — source registry (access/licence/cadence; VERIFY terms).
  • orchestrator/main.py — REST API (health, sources, estimates, orders, jobs) per docs/04.
  • workers/adaptive_router.py — picks the cheapest compliant method per market (api > bulk > authorized_web > licensed). No bypass tiers.
  • workers/pipeline.py — sourcing → extraction → structuring (dedup) → enrichment/fusion → QA (drops rows below the order's confidence target). Writes provenance per field.

Run locally

pip install -r requirements.txt
uvicorn orchestrator.main:app --reload          # API on :8000
python -m workers.run                            # run one demo job

Reconciliation note

Supersedes the earlier nordic-eu-data-platform backend: the compliant connectors + pipeline are migrated here; the FlareSolverr/stealth/proxy/fake-account paths and the test_bypass_chain/test_proxy_pool examples are intentionally not carried over.