feat(product-scope): gate Navigator facts, then reuse discover_scope (step 3)
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>
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"""Tests for the product-scope orchestrator (step 3).
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Acceptance: missing P0 facts -> discover_scope NOT run; ready -> run exactly once;
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response separates applicable/excluded/uncertain; environmental triggers appear
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only as unsupported_domain (future_corpus_needed), never as a legal evaluation.
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"""
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from __future__ import annotations
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import pytest
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from fastapi import FastAPI
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from fastapi.testclient import TestClient
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import compliance.product_scope.orchestrator as orch
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from compliance.product_scope import ScopeStatus, resolve_product_scope
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from compliance.profile.canonical import (
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CanonicalLifecyclePhase,
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CanonicalProductRegulatoryProfile,
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CanonicalProductType,
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EconomicOperatorRole,
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EnvironmentalImpact,
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)
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_KNOWN_REGS = {"CRA", "MaschinenVO", "RED", "EMV", "DataAct", "NIS2"}
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def ready_profile(**ov) -> CanonicalProductRegulatoryProfile:
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base = dict(
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name="Industriespülmaschine",
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product_type=CanonicalProductType.MACHINERY,
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markets=["EU", "DE"],
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economic_operator_role=EconomicOperatorRole.MANUFACTURER,
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lifecycle_phase=CanonicalLifecyclePhase.PLACING_ON_MARKET,
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is_machine=True,
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is_component=False,
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has_software_updates=True,
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has_embedded_software=True,
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has_remote_access=True,
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has_safety_function=True,
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technologies=["cloud", "ota_updates"],
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)
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base.update(ov)
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return CanonicalProductRegulatoryProfile(**base)
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def _spy(monkeypatch):
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calls = {"n": 0}
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real = orch.discover_scope
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def counting(profile):
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calls["n"] += 1
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return real(profile)
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monkeypatch.setattr(orch, "discover_scope", counting)
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return calls
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# 1. missing P0 facts -> discover_scope is NOT executed.
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def test_needs_facts_does_not_run_scope(monkeypatch):
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calls = _spy(monkeypatch)
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resp = resolve_product_scope(CanonicalProductRegulatoryProfile(name="X"))
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assert resp.status == ScopeStatus.NEEDS_FACTS
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assert resp.regulatory_scope is None
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assert resp.missing_facts
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assert calls["n"] == 0
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# 2. ready_for_scope -> discover_scope runs exactly once.
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def test_ready_runs_scope_once(monkeypatch):
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calls = _spy(monkeypatch)
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resp = resolve_product_scope(ready_profile())
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assert resp.status == ScopeStatus.RESOLVED
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assert resp.regulatory_scope is not None
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assert calls["n"] == 1
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applicable = {r.regulation_id for r in resp.regulatory_scope.applicable_regulations}
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assert "CRA" in applicable and "MaschinenVO" in applicable
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# 3. the response separates the regulation categories.
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def test_response_separates_categories():
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scope = resolve_product_scope(ready_profile()).regulatory_scope
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assert scope is not None
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# all three buckets exist and only carry known regulation ids
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for bucket in (scope.applicable_regulations, scope.excluded_regulations, scope.uncertain_regulations):
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for r in bucket:
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assert r.regulation_id in _KNOWN_REGS
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assert scope.uncertain_regulations # e.g. RED/DataAct/NIS2 with unknown facts
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# 4. environmental triggers surface ONLY as unsupported_domain, never as law.
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def test_environmental_only_unsupported_domain():
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profile = ready_profile(
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environmental=EnvironmentalImpact(discharges_to_wastewater=True, uses_cleaning_chemicals=True)
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)
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scope = resolve_product_scope(profile).regulatory_scope
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assert scope is not None
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domains = {d.domain for d in scope.unsupported_domains}
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assert "environment_water" in domains and "chemicals" in domains
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assert all(d.status == "future_corpus_needed" for d in scope.unsupported_domains)
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# no environmental "regulation" leaked into the scope verdict
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all_regs = (
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scope.applicable_regulations + scope.excluded_regulations + scope.uncertain_regulations
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)
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assert all(r.regulation_id in _KNOWN_REGS for r in all_regs)
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# 5. endpoint smoke — both cases.
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@pytest.fixture(scope="module")
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def client():
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from compliance.api.reasoning_routes import router
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app = FastAPI()
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app.include_router(router)
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return TestClient(app)
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def test_endpoint_needs_facts(client):
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r = client.post("/reasoning/product-scope", json={"product_profile": {"name": "X"}})
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assert r.status_code == 200
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body = r.json()
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assert body["status"] == "needs_facts"
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assert body["regulatory_scope"] is None
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assert body["missing_facts"]
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def test_endpoint_resolved(client):
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r = client.post(
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"/reasoning/product-scope",
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json={
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"product_profile": {
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"name": "M",
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"product_type": "machinery",
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"markets": ["EU"],
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"economic_operator_role": "manufacturer",
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"lifecycle_phase": "placing_on_market",
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"is_machine": True,
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"is_component": False,
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"has_software_updates": True,
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"has_embedded_software": True,
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"has_remote_access": True,
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"technologies": ["cloud"],
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}
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},
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)
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assert r.status_code == 200
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body = r.json()
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assert body["status"] == "resolved"
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applicable = {x["regulation_id"] for x in body["regulatory_scope"]["applicable_regulations"]}
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assert "CRA" in applicable and "MaschinenVO" in applicable
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