Wire the guarded conversational RAG answer layer end-to-end

apps/ai-service/tests/test_api.py

@@ -0,0 +1,53 @@
+from fastapi.testclient import TestClient
+
+from config import Settings
+from main import create_app
+from rag.answer import GroundedAnswerService
+from rag.models import EvidenceDecision, QueryIntent, RetrievalResult, SubjectScope
+
+
+class FixedRouting:
+    def retrieve(self, query, subject_scope, intent):
+        assert query == "Liều thuốc?"
+        assert subject_scope == SubjectScope.HUMAN
+        assert intent == QueryIntent.FACT_LOOKUP
+        return RetrievalResult(EvidenceDecision.ABSTAIN, "drug_not_resolved")
+
+
+class MemoryTraceWriter:
+    def __init__(self):
+        self.rows = []
+
+    def save(self, **fields):
+        self.rows.append(fields)
+        return "trace-1"
+
+
+def test_health_and_fail_closed_rag_response_are_traced():
+    traces = MemoryTraceWriter()
+    app = create_app(
+        settings=Settings(),
+        answer_service=GroundedAnswerService(FixedRouting()),
+        trace_writer=traces,
+    )
+    client = TestClient(app)
+    assert client.get("/health").json() == {"status": "ok"}
+    response = client.post("/v1/rag/query", json={
+        "query": "Liều thuốc?",
+        "subject_scope": "human",
+        "intent": "fact_lookup",
+    })
+    assert response.status_code == 200
+    assert response.json()["decision"] == "abstain"
+    assert response.json()["trace_id"] == "trace-1"
+    assert traces.rows[0]["reason"] == "drug_not_resolved"
+
+
+def test_query_requires_structured_scope_and_intent():
+    app = create_app(
+        settings=Settings(),
+        answer_service=GroundedAnswerService(FixedRouting()),
+        trace_writer=MemoryTraceWriter(),
+    )
+    response = TestClient(app).post("/v1/rag/query", json={"query": "Liều?"})
+    assert response.status_code == 422