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

apps/ai-service/tests/test_calculators.py

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+import pytest
+
+from rag.calculators import body_surface_area_m2
+
+
+def test_bsa_matches_book_worked_example():
+    # Dược thư Phụ lục 1: "165 cm và 60 kg sẽ có diện tích 1,66 m²".
+    assert round(body_surface_area_m2(60, 165), 2) == 1.66
+
+
+def test_bsa_matches_book_table_cells():
+    # Independent cells read from the BSA table (printed 1499): ground truth.
+    assert round(body_surface_area_m2(10, 90), 2) == 0.50
+    assert round(body_surface_area_m2(70, 170), 2) == 1.81
+
+
+def test_bsa_rejects_nonpositive_inputs():
+    with pytest.raises(ValueError):
+        body_surface_area_m2(0, 165)
+    with pytest.raises(ValueError):
+        body_surface_area_m2(60, -1)