Thin adapter — it judges the customer's reading WITHIN the already-built
RegulatoryMap, it does not assess abstract legal questions and it is not RCI.
- Reuses the existing assess_interpretation (no new legal reasoning); the 6
verdicts (plausible/too_narrow/too_broad/partially_correct/unsupported/uncertain)
pass through unchanged.
- Restricts affected_regulations/affected_obligations to those present in the map
(intersection); links to the map's uncertain regulations.
- Touched unsupported domains (wastewater/chemicals/...) are reported as
future_corpus_domains (future_corpus_needed) — never pseudo-evaluated.
- Customer-readable explanation ("Ihre Interpretation ist wahrscheinlich zu eng. …
Betroffen in Ihrer Map: CRA.").
- POST /reasoning/interpretation-in-map (renders the map, then interprets).
- 7 tests; 63 green (existing reasoning MVP stays green), mypy clean, LOC ok.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
The Map Renderer explains the engine's state, it does not extend it. Pure
composition of resolve_product_scope (scope verdict) + derive_obligations
(registry-linked obligations + overlaps) into one RegulatoryMap.
- product_summary, trigger_facts, applicable/uncertain/excluded regulations,
unsupported_domains, overlaps (shared_obligations), shared_evidence, and a
customer-readable executive_summary.
- No own legal decisions: applicable/uncertain mirror the scope verdict exactly.
- Obligations shown ONLY when registry-linkable (registry_anchor) — MaschinenVO/
EMV obligations are proposed, so they render empty + a note, never as linked.
Overlaps/shared_evidence likewise filtered to registry-linked members.
- Uncertain regulations link to the navigator question that would resolve them
(RED -> has_radio_module, DataAct -> generates_usage_data).
- Environmental appears only as unsupported_domain; executive_summary has NO
percentage (counts + "no further regulations identified" instead).
- POST /reasoning/regulatory-map (thin handler). Response types are presentation-
level, not meta-model classes (freeze v1.0 untouched).
- 9 tests; 56 green (existing reasoning MVP stays green), mypy clean, LOC ok.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Connects the Navigator's fact-gate to the existing reasoning discover_scope —
the Scope Engine decides only once the minimum (P0) facts are released.
- resolve_product_scope(canonical): if not ready_for_scope -> NEEDS_FACTS
(missing_facts + suggested_questions, discover_scope NOT run); else project
canonical->reasoning profile and run the EXISTING discover_scope exactly once
-> RESOLVED with applicable/excluded/uncertain regulations.
- Environmental triggers surface ONLY as unsupported_domains (future_corpus_needed),
never as a legal evaluation — transparency, no false completeness.
- POST /reasoning/product-scope (thin handler) returns case NEEDS_FACTS or RESOLVED.
- No new scope rules, no new regulations, no environmental-law evaluation, no UI,
no Go, no RAG, no percent-compliance. Response types are application-level, not
meta-model classes (freeze v1.0 untouched).
- 6 tests incl. discover_scope spy (0 calls when gated, exactly 1 when ready),
category separation, environmental-as-unsupported-only. 47 tests green (existing
reasoning MVP tests stay green), mypy clean, LOC ok.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Architecture-validation finding: the implementation mode produced compliance-
flavored output ("teilweise erfüllt", "covered") from a mere customer claim,
blurring the line to the Execution layer. This is a design decision, not a text
fix — the reasoning layer judges only the customer's STATEMENT, never conformity.
- CoverageStatus -> ClaimCoverage; values are claim-relative + carry "potential":
potentially_addresses / partially_addresses / does_not_address /
insufficient_information.
- ImplementationAssessment -> ClaimObligationMapping (coverage_status ->
claim_coverage); ImplementationResponse -> ImplementationReasoningResponse
(assessments -> mappings, + explicit `disclaimer`); request renamed; engine
entry assess_implementation -> reason_implementation_claim.
- Endpoint /reasoning/implementation-assessment -> /reasoning/implementation-reasoning.
- Summary/explanations reworded: "adressiert wahrscheinlich N Pflichten … für
eine Bewertung der tatsächlichen Umsetzung sind Nachweise erforderlich (keine
Konformitätsaussage)". No "erfüllt"/"abgedeckt" leaks.
- New guard test asserts no compliance verdict leaks (no "erfüllt"; disclaimer
separates ClaimCoverage from ComplianceStatus). 23 tests green, mypy clean.
Discovery (scope/obligations) was already structurally claim-free and unaffected.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Deterministic reasoning layer ON TOP of the Legal Knowledge Graph (obligation
registry) and the Compliance Execution Graph (control mapping/evidence). Answers
which regulations apply to a concrete product, which obligations follow, whether
the customer's implementation covers them, and whether a customer interpretation
is too narrow/broad/plausible.
- ProductProfile with tri-state facts (Optional[bool]=None => uncertain, never
false security); safe predicate evaluator (no eval).
- 6 regulation triggers (CRA/MaschinenVO/RED/EMV/DataAct/NIS2) with missing-fact
prompts; 24 obligation scope rules.
- CRA obligation_ids RE-USED verbatim from the registry (93 ids) — never re-minted
(control_uuid trap); Machine/Data-Act flagged proposed=True.
- required_evidence constrained to the framework-agnostic shared evidence catalog;
capabilities echo the planned Obligation->Capability layer.
- Overlap groups (CRA<->MaschinenVO cyber-safety) + evidence-for-multiple (USP).
- 4 endpoints POST /reasoning/{scope,obligations,implementation-assessment,
interpretation-assessment}; thin handlers, registered in api/__init__.py.
- 22 tests (5 machine-builder scenarios + 10 acceptance questions). No DB
migration, no RAG, no new controls.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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