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

ingestion/tests/test_entities_catalog.py

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+from pathlib import Path
+
+import pytest
+
+from ingestion.entities.catalog import build_entities
+
+DATA = Path(__file__).parents[1] / "data"
+PDF = DATA / "raw/duoc-thu-quoc-gia-viet-nam-2018.pdf"
+MONOGRAPHS = DATA / "processed/monographs.jsonl"
+
+needs_source = pytest.mark.skipif(
+    not PDF.exists() or not MONOGRAPHS.exists(),
+    reason="source corpus artifacts are not available",
+)
+
+
+@needs_source
+def test_verified_entity_catalog_maps_every_explicit_see_alias():
+    payload = build_entities(MONOGRAPHS, PDF)
+    stats = payload["stats"]
+    assert stats["entity_count"] == 684
+    assert stats["back_index_see_relations"] == 344
+    assert stats["back_index_aliases_mapped"] == 344
+    assert stats["back_index_aliases_unresolved"] == 0
+    assert stats["back_index_aliases_ambiguous"] == 0
+    assert stats["trade_name_sections"] == 492
+
+
+@needs_source
+def test_common_parenthesized_names_are_emitted_as_aliases():
+    payload = build_entities(MONOGRAPHS, PDF)
+    entities = {item["drug_id"]: item for item in payload["entities"]}
+    aliases = {
+        drug_id: {alias.casefold() for alias in entity["aliases"]}
+        for drug_id, entity in entities.items()
+    }
+    assert "paracetamol" in aliases["paracetamol_acetaminophen"]
+    assert "acetaminophen" in aliases["paracetamol_acetaminophen"]
+    assert "aspirin" in aliases["acid_acetylsalicylic_aspirin"]
+    assert "oresol" in aliases["thuoc_uong_bu_nuoc_va_ien_giai"]