feat(normalizer): alias index with maiden/married/nickname resolution

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

tools/import-normalizer/tests/test_persons.py

@@ -1,3 +1,4 @@
+import config
 import persons
 
 def test_slugify():
@@ -52,3 +53,21 @@ def test_split_receivers():
 def test_find_known_last_name():
     assert persons.find_known_last_name("Eugenie de Gruyter") == "de Gruyter"
     assert persons.find_known_last_name("Clara") is None
+
+def test_alias_index_resolves_maiden_and_married():
+    people = persons.parse_register([
+        {"last_name": "de Gruyter", "first_name": "Eugenie", "maiden_name": "Müller"},
+        {"last_name": "Cram", "first_name": "Clara"},
+    ])
+    idx = persons.AliasIndex(people)
+    eugenie = people[0].person_id
+    assert idx.resolve("Eugenie de Gruyter") == eugenie   # canonical
+    assert idx.resolve("Eugenie Müller") == eugenie        # maiden alias
+    assert idx.resolve("eugenie  müller") == eugenie        # normalized
+    assert idx.resolve("Nobody Unknown") is None
+
+def test_alias_index_suggestion():
+    people = persons.parse_register([{"last_name": "Wittkopf", "first_name": "Hans"}])
+    idx = persons.AliasIndex(people)
+    sid, score = idx.suggest("Hans Wittkop")  # typo
+    assert sid == people[0].person_id and score >= config.FUZZY_SUGGEST_THRESHOLD