M10: harden knowledge trust and telemetry
This commit is contained in:
@@ -110,7 +110,7 @@ def demo_reset(
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status_code=status.HTTP_403_FORBIDDEN,
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detail="Demo reset is disabled on this deployment.",
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)
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result = reset_and_seed(db)
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result = reset_and_seed(db, preserve_integration_telemetry=True)
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integrity = scenario_integrity_report(db)
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record_audit_event(
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db,
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@@ -80,9 +80,17 @@ def _read_csv(name: str) -> list[dict[str, str]]:
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return list(csv.DictReader(handle))
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def clear_all(db: Session) -> None:
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_PERSISTENT_TELEMETRY_ACTIONS = (
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"mcp_tool_request",
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"n8n_return_followup_recorded",
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"n8n_workflow_failure_registered",
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"n8n_procedures_synced",
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"knowledge_question_asked",
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)
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def clear_all(db: Session, *, preserve_integration_telemetry: bool = False) -> None:
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for model in (
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AuditEvent,
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OutboxEvent,
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IdempotencyRecord,
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DataQualityIssue,
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@@ -94,6 +102,10 @@ def clear_all(db: Session) -> None:
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User,
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):
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db.execute(delete(model))
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if preserve_integration_telemetry:
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db.execute(delete(AuditEvent).where(AuditEvent.action.not_in(_PERSISTENT_TELEMETRY_ACTIONS)))
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else:
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db.execute(delete(AuditEvent))
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def load_seed(db: Session) -> SeedResult:
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@@ -428,10 +440,12 @@ def load_seed(db: Session) -> SeedResult:
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return SeedResult(counts=counts, anchor_date=today, seeded_at=seeded_at)
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def reset_and_seed(db: Session) -> SeedResult:
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def reset_and_seed(
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db: Session, *, preserve_integration_telemetry: bool = False
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) -> SeedResult:
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from app.services.data_quality import run_scan
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clear_all(db)
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clear_all(db, preserve_integration_telemetry=preserve_integration_telemetry)
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result = load_seed(db)
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db.commit()
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scan = run_scan(db)
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@@ -21,6 +21,54 @@ _LEAD_ANSWER_TEMPLATE = {
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}
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_DEFAULT_LANGUAGE = "en-GB"
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_DOMAIN_CONCEPTS: dict[str, tuple[str, ...]] = {
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"damage": ("damage", "damaged", "schade", "beschadigd", "dommage", "endommagé"),
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"vehicle": ("vehicle", "car", "voertuig", "wagen", "véhicule", "voiture"),
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"return": ("return", "returned", "retour", "terugbrengen", "restitution"),
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"fuel": ("fuel", "brandstof", "carburant"),
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"booking": ("booking", "reservation", "boeking", "réservation"),
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"odometer": ("odometer", "mileage", "kilometer", "kilométrage", "compteur"),
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"customer": ("customer", "client", "klant"),
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"cleaning": ("cleaning", "reiniging", "poetsen", "nettoyage"),
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"maintenance": ("maintenance", "service", "onderhoud", "entretien"),
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"conflict": ("conflict", "overlap", "overlapping", "conflit", "chevauchement"),
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"checkout": ("checkout", "departure", "vertrek", "départ"),
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"availability": ("available", "availability", "beschikbaar", "disponible", "disponibilité"),
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"technical": ("technical", "warning", "technisch", "waarschuwing", "technique", "alerte"),
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}
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def _question_concepts(question: str) -> set[str]:
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normalized = question.casefold()
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return {
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concept
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for concept, terms in _DOMAIN_CONCEPTS.items()
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if any(term in normalized for term in terms)
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}
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def _deduplicate_sources(sources: list[SourceCard]) -> list[SourceCard]:
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seen: set[tuple[str, str]] = set()
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unique: list[SourceCard] = []
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for source in sources:
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key = (source.document_id, source.section)
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if key in seen:
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continue
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seen.add(key)
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unique.append(source)
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return unique
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def _rank_sources_for_concepts(sources: list[SourceCard], concepts: set[str]) -> list[SourceCard]:
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if "damage" not in concepts:
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return sources
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return sorted(
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sources,
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key=lambda source: (
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0 if "damage" in f"{source.document_id} {source.title}".casefold() else 1
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),
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)
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class RAGcoreKnowledgeProvider:
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"""Adapter for the central RAGcore service, against its real `/v1/*` contract
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@@ -199,6 +247,9 @@ class RAGcoreKnowledgeProvider:
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except (TypeError, KeyError, ValueError):
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return unavailable
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sources = _deduplicate_sources(sources)
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concepts = _question_concepts(question)
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sources = _rank_sources_for_concepts(sources, concepts)
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if not sources:
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return GroundedAnswer(
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answer="",
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@@ -208,6 +259,15 @@ class RAGcoreKnowledgeProvider:
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correlation_id=correlation_id,
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)
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if not concepts:
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return GroundedAnswer(
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answer="",
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evidence_state="insufficient",
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sources=sources,
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provider=self.name,
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correlation_id=correlation_id,
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)
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template = _LEAD_ANSWER_TEMPLATE.get(language, _LEAD_ANSWER_TEMPLATE[_DEFAULT_LANGUAGE])
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lead = sources[0]
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answer = template.format(title=lead.title, excerpt=lead.excerpt)
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@@ -65,3 +65,22 @@ def test_logout_invalidates_session(ops_client):
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def test_logout_without_a_session_is_safe(client):
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response = client.post("/api/v1/demo/logout")
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assert response.status_code == 200
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def test_demo_reset_preserves_integration_telemetry(ops_client, client):
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from app.core.config import get_settings
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settings = get_settings()
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probe = client.get(
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"/api/v1/integrations/mcp/operations-summary",
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headers={
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"X-Service-Token": settings.mcp_hub_service_token,
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"X-Client-Id": "reset-probe",
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},
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)
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assert probe.status_code == 200
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assert ops_client.post("/api/v1/demo/reset").status_code == 200
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assert client.post("/api/v1/demo/login", json={"role": "operations_manager"}).status_code == 200
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events = client.get("/api/v1/audit", params={"action": "mcp_tool_request"}).json()
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assert any(event["actor_label"] == "reset-probe" for event in events)
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@@ -450,3 +450,56 @@ def test_ragcore_provider_fallback_with_no_search_results_is_insufficient(monkey
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assert answer.evidence_state == "insufficient"
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assert answer.answer == ""
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assert answer.sources == []
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def test_ragcore_search_fallback_rejects_out_of_domain_question(monkeypatch):
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provider = RAGcoreKnowledgeProvider()
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monkeypatch.setattr(provider._settings, "ragcore_space_id", "space-1")
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monkeypatch.setattr(
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provider,
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"_client",
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lambda: _FakeClient(
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post_responses={
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"/v1/answers": _FakeResponse(503, {}),
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"/v1/search": _FakeResponse(200, _search_body()),
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}
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),
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)
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answer = provider.ask(
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"Who won the football world cup in 1998?",
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"test-correlation-out-of-domain",
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)
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assert answer.evidence_state == "insufficient"
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assert answer.answer == ""
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def test_ragcore_search_fallback_prefers_damage_procedure(monkeypatch):
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provider = RAGcoreKnowledgeProvider()
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monkeypatch.setattr(provider._settings, "ragcore_space_id", "space-1")
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search = _search_body()
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search["results"].append(
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{
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"citation": {
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"document_id": "damage-procedure",
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"document_version_id": "version-2",
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"title": "damage-procedure.md",
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"section": "Damage",
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"excerpt": "Record damage and keep the vehicle blocked.",
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},
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"rank": 2,
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"scores": {"fused": 0.01},
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}
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)
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monkeypatch.setattr(
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provider,
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"_client",
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lambda: _FakeClient(
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post_responses={
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"/v1/answers": _FakeResponse(503, {}),
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"/v1/search": _FakeResponse(200, search),
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}
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),
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)
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answer = provider.ask("Wat moet ik doen bij schade?", "test-correlation-damage", "nl-BE")
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assert answer.evidence_state == "grounded"
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assert answer.sources[0].document_id == "damage-procedure"
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