perf(api): batch supplementary queries — one per table, not five per school

get_supplementary_data ran ~5 sequential DB round-trips per URN, so
/api/compare scaled at ~37ms/school (measured on staging: 1 school 155ms,
3 schools 220ms, 6 schools 340ms). get_supplementary_data_batch fetches
each table once with WHERE urn IN (...) and groups in Python, collapsing
5*N round-trips to a constant 5. get_supplementary_data is now a thin
wrapper so the detail endpoint is unchanged; the compare endpoint makes
one batched call. Each table degrades independently on failure.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB

backend/tests/test_compare_enrichment.py

@@ -67,7 +67,9 @@ def client(monkeypatch):
 
     monkeypatch.setattr(app_module, "load_school_data", _two_primary_schools_df)
     monkeypatch.setattr(
-        app_module, "get_supplementary_data", lambda db, urn: dict(CANNED_SUPPLEMENTARY)
+        app_module,
+        "get_supplementary_data_batch",
+        lambda db, urns: {int(u): dict(CANNED_SUPPLEMENTARY) for u in urns},
     )
     monkeypatch.setattr(database_module, "SessionLocal", _StubSession)
     return TestClient(app_module.app, raise_server_exceptions=False)
@@ -102,10 +104,10 @@ def test_top_level_national_averages_and_benchmarks(client):
 def test_supplementary_failure_degrades_not_500(client, monkeypatch):
     from backend import app as app_module
 
-    def _boom(db, urn):
+    def _boom(db, urns):
         raise RuntimeError("marts unavailable")
 
-    monkeypatch.setattr(app_module, "get_supplementary_data", _boom)
+    monkeypatch.setattr(app_module, "get_supplementary_data_batch", _boom)
     resp = client.get("/api/compare?urns=100140")
     assert resp.status_code == 200
     school = resp.json()["comparison"]["100140"]