feat(nlp-service): spaCy model loading with get_nlp/load_all_models

nlp-service/test_extractor.py

@@ -31,3 +31,44 @@ def test_parse_response_serializes_nulls():
     assert data["dateFrom"] is None
     assert data["dateTo"] == "1920-12-31"
     assert data["personRole"] == "sender"
+
+
+# ── Model loading ────────────────────────────────────────────────────────────
+
+@pytest.fixture(scope="session")
+def nlp_de():
+    from extractor import get_nlp
+    return get_nlp("de")
+
+
+@pytest.fixture(scope="session")
+def nlp_en():
+    from extractor import get_nlp
+    return get_nlp("en")
+
+
+@pytest.fixture(scope="session")
+def nlp_es():
+    from extractor import get_nlp
+    return get_nlp("es")
+
+
+def test_get_nlp_de_loads(nlp_de):
+    doc = nlp_de("Test")
+    assert doc is not None
+
+
+def test_get_nlp_en_loads(nlp_en):
+    doc = nlp_en("Test")
+    assert doc is not None
+
+
+def test_get_nlp_es_loads(nlp_es):
+    doc = nlp_es("Prueba")
+    assert doc is not None
+
+
+def test_get_nlp_unknown_lang_raises():
+    from extractor import get_nlp
+    with pytest.raises(ValueError, match="Unsupported language"):
+        get_nlp("fr")