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Punkt 2 (Coverage): semgrep/gdpr-Findings ohne CWE blieben unmapped (~21%). Der Mapper nutzt jetzt den scanner rule_id + gezielte Keywords (gdpr -> Datenminimierung CRA-AI-17, path-traversal/prototype-pollution -> CRA-AI-20, nginx-header/Docker-Hardening -> CRA-AI-1/4, insecure-websocket -> CRA-AI-15). Reale Scanner-Daten: unmapped 19/92 -> 0/92 (Coverage 100%). Punkt 3 (Latenz): enrich_findings_with_breadth lief ~6 Aggregat-Queries je (use_case,sub_topic)-Paar, nutzte aber nur die Liste. Jetzt EINE batched Query (breadth_controls_batch) fuer alle Paare + Prozess-Cache (TTL 1800s). macmini: cold 0,23s / warm 0,000s. Prod-Root-Cause: atom_classification ohne (use_case,sub_topic)-Index nach DB-Swap -> Index dem DB-Owner empfohlen. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
56 lines
2.1 KiB
Python
56 lines
2.1 KiB
Python
"""Pin the CRA-AI -> network_security sub_topic map (DB enrichment verified live)."""
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from compliance.services import cra_use_case_controls
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from compliance.services.cra_use_case_controls import (
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enrich_findings_with_breadth,
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subtopic_for,
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)
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from compliance.api.cra_annex_i_data import ANNEX_I_REQUIREMENTS
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# Exact atom-grain sub_topic keys (verified against the live atom_classification).
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_VALID = {
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"access_control", "authentication", "cryptography", "network_segmentation",
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"logging_monitoring", "supply_chain_security", "vulnerability_management",
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"incident_response", "secure_development", "data_protection",
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}
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def test_every_requirement_maps_to_a_valid_subtopic():
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for req in ANNEX_I_REQUIREMENTS:
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st = subtopic_for(req["req_id"])
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assert st in _VALID, "{} -> {}".format(req["req_id"], st)
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class _FakeControlsService:
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"""Stands in for UseCaseControlsService: returns one atom control per
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(use_case, sub_topic) pair, carrying the legal anchor (source_article) the
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real batched atom query now selects."""
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def __init__(self, db):
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pass
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def breadth_controls_batch(self, pairs, per=3):
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return {
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(uc, st): [{
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"control_id": "AI-{}-{}".format(uc, st),
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"title": "Test obligation",
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"source_regulation": "Cyber Resilience Act (CRA)",
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"source_article": "Artikel 13",
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"severity": "high",
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"use_case": uc,
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}]
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for uc, st in pairs
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}
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def test_breadth_carries_source_article(monkeypatch):
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cra_use_case_controls._BREADTH_CACHE.clear() # process cache — isolate the test
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monkeypatch.setattr(
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cra_use_case_controls, "UseCaseControlsService", _FakeControlsService,
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)
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mapped = [{"primary_requirement": "CRA-AI-8"}] # -> authentication sub_topic
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enrich_findings_with_breadth(mapped, db=None)
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breadth = mapped[0]["regulatory_breadth"]
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assert breadth, "expected breadth controls"
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assert all("source_article" in c for c in breadth)
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assert any(c["source_article"] == "Artikel 13" for c in breadth)
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