M10: harden knowledge trust and telemetry

This commit is contained in:
NuklearRabbit
2026-08-10 02:51:07 +02:00
parent e577c16db5
commit de151914b6
5 changed files with 151 additions and 5 deletions
+1 -1
View File
@@ -110,7 +110,7 @@ def demo_reset(
status_code=status.HTTP_403_FORBIDDEN,
detail="Demo reset is disabled on this deployment.",
)
result = reset_and_seed(db)
result = reset_and_seed(db, preserve_integration_telemetry=True)
integrity = scenario_integrity_report(db)
record_audit_event(
db,
+18 -4
View File
@@ -80,9 +80,17 @@ def _read_csv(name: str) -> list[dict[str, str]]:
return list(csv.DictReader(handle))
def clear_all(db: Session) -> None:
_PERSISTENT_TELEMETRY_ACTIONS = (
"mcp_tool_request",
"n8n_return_followup_recorded",
"n8n_workflow_failure_registered",
"n8n_procedures_synced",
"knowledge_question_asked",
)
def clear_all(db: Session, *, preserve_integration_telemetry: bool = False) -> None:
for model in (
AuditEvent,
OutboxEvent,
IdempotencyRecord,
DataQualityIssue,
@@ -94,6 +102,10 @@ def clear_all(db: Session) -> None:
User,
):
db.execute(delete(model))
if preserve_integration_telemetry:
db.execute(delete(AuditEvent).where(AuditEvent.action.not_in(_PERSISTENT_TELEMETRY_ACTIONS)))
else:
db.execute(delete(AuditEvent))
def load_seed(db: Session) -> SeedResult:
@@ -428,10 +440,12 @@ def load_seed(db: Session) -> SeedResult:
return SeedResult(counts=counts, anchor_date=today, seeded_at=seeded_at)
def reset_and_seed(db: Session) -> SeedResult:
def reset_and_seed(
db: Session, *, preserve_integration_telemetry: bool = False
) -> SeedResult:
from app.services.data_quality import run_scan
clear_all(db)
clear_all(db, preserve_integration_telemetry=preserve_integration_telemetry)
result = load_seed(db)
db.commit()
scan = run_scan(db)
+60
View File
@@ -21,6 +21,54 @@ _LEAD_ANSWER_TEMPLATE = {
}
_DEFAULT_LANGUAGE = "en-GB"
_DOMAIN_CONCEPTS: dict[str, tuple[str, ...]] = {
"damage": ("damage", "damaged", "schade", "beschadigd", "dommage", "endommagé"),
"vehicle": ("vehicle", "car", "voertuig", "wagen", "véhicule", "voiture"),
"return": ("return", "returned", "retour", "terugbrengen", "restitution"),
"fuel": ("fuel", "brandstof", "carburant"),
"booking": ("booking", "reservation", "boeking", "réservation"),
"odometer": ("odometer", "mileage", "kilometer", "kilométrage", "compteur"),
"customer": ("customer", "client", "klant"),
"cleaning": ("cleaning", "reiniging", "poetsen", "nettoyage"),
"maintenance": ("maintenance", "service", "onderhoud", "entretien"),
"conflict": ("conflict", "overlap", "overlapping", "conflit", "chevauchement"),
"checkout": ("checkout", "departure", "vertrek", "départ"),
"availability": ("available", "availability", "beschikbaar", "disponible", "disponibilité"),
"technical": ("technical", "warning", "technisch", "waarschuwing", "technique", "alerte"),
}
def _question_concepts(question: str) -> set[str]:
normalized = question.casefold()
return {
concept
for concept, terms in _DOMAIN_CONCEPTS.items()
if any(term in normalized for term in terms)
}
def _deduplicate_sources(sources: list[SourceCard]) -> list[SourceCard]:
seen: set[tuple[str, str]] = set()
unique: list[SourceCard] = []
for source in sources:
key = (source.document_id, source.section)
if key in seen:
continue
seen.add(key)
unique.append(source)
return unique
def _rank_sources_for_concepts(sources: list[SourceCard], concepts: set[str]) -> list[SourceCard]:
if "damage" not in concepts:
return sources
return sorted(
sources,
key=lambda source: (
0 if "damage" in f"{source.document_id} {source.title}".casefold() else 1
),
)
class RAGcoreKnowledgeProvider:
"""Adapter for the central RAGcore service, against its real `/v1/*` contract
@@ -199,6 +247,9 @@ class RAGcoreKnowledgeProvider:
except (TypeError, KeyError, ValueError):
return unavailable
sources = _deduplicate_sources(sources)
concepts = _question_concepts(question)
sources = _rank_sources_for_concepts(sources, concepts)
if not sources:
return GroundedAnswer(
answer="",
@@ -208,6 +259,15 @@ class RAGcoreKnowledgeProvider:
correlation_id=correlation_id,
)
if not concepts:
return GroundedAnswer(
answer="",
evidence_state="insufficient",
sources=sources,
provider=self.name,
correlation_id=correlation_id,
)
template = _LEAD_ANSWER_TEMPLATE.get(language, _LEAD_ANSWER_TEMPLATE[_DEFAULT_LANGUAGE])
lead = sources[0]
answer = template.format(title=lead.title, excerpt=lead.excerpt)