feat(data-extraction): Extract c/o relation from street in company relation

tests/utils/data_extraction/unternehmensregister/transform_test.py

@@ -709,6 +709,38 @@ def test_map_last_update() -> None:
     assert result == date
 
 
+@pytest.mark.parametrize(
+    ("value", "expected_result"),
+    [
+        (
+            {
+                "location": Location(
+                    "", "c/o Youco24 Business Center, Abc ffda", None, None
+                ),
+                "relationships": [],
+            },
+            {
+                "location": Location("", "Abc ffda", None, None),
+                "relationships": [
+                    CompanyToCompanyRelationship(
+                        RelationshipRoleEnum.LOKATION_BEI,  # type: ignore
+                        Location("", "Abc ffda", None, None),
+                        CompanyRelationshipEnum.COMPANY,
+                        "Youco24 Business Center",
+                    )
+                ],
+            },
+        ),
+    ],
+)
+def test_map_co_relation(value: dict, expected_result: dict) -> None:
+    result = transform.map_co_relation(value)
+    assert result == expected_result
+
+
+@patch(
+    "aki_prj23_transparenzregister.utils.data_extraction.unternehmensregister.transform.map_co_relation"
+)
 @patch(
     "aki_prj23_transparenzregister.utils.data_extraction.unternehmensregister.transform.map_company_id"
 )
@@ -746,6 +778,7 @@ def test_map_unternehmensregister_json(  # noqa: PLR0913
     mock_loc_from_beteiligung: Mock,
     mock_map_name_from_beteiligung: Mock,
     mock_map_company_id: Mock,
+    mock_map_co_relation: Mock,
 ) -> None:
     expected_result = Company(
         **{  # type: ignore
@@ -770,6 +803,7 @@ def test_map_unternehmensregister_json(  # noqa: PLR0913
     mock_map_business_purpose.return_value = expected_result.business_purpose
     mock_map_founding_date.return_value = expected_result.founding_date
     mock_map_parse_stakeholder.return_value = expected_result.relationships[0]
+    mock_map_co_relation.side_effect = lambda x: x
 
     data: dict = {
         "XJustiz_Daten": {