found a bug in the way sh:in lists are handeled: function was never c…

…alled

.gitignore

@@ -165,3 +165,6 @@ cython_debug/
 .idea/
 
 .DS_Store
+
+# Test cube for unit tests
+/tests/test_cube.ttl

example.py

@@ -19,8 +19,8 @@
 print(cube)
 
 if not cube_exists(cube_uri=cube.get_iri(), environment="TEST"):
-    #upload_ttl(filename="./example/mock-cube.ttl", db_file="lindas.ini", environment="TEST")
-    pass
+    upload_ttl(filename="./example/mock-cube.ttl", db_file="lindas.ini", environment="TEST")
+
 # upload_ttl(filename="./example/mock-cube.ttl", db_file="lindas.ini", environment="TEST")
 
 modk_df_two_sided = pd.read_csv("tests/test_data.csv")
@@ -33,4 +33,4 @@
 cube_two_sided.write_shape()
 
 cube_two_sided.serialize("./example/mock-cube-two-sided.ttl")
-#upload_ttl(filename="./example/mock-cube-two-sided.ttl", db_file="lindas.ini", environment="TEST")
+upload_ttl(filename="./example/mock-cube-two-sided.ttl", db_file="lindas.ini", environment="TEST")

pylindas/pycube/cube.py

@@ -456,11 +456,11 @@ def _write_dimension_shape(self, dim_dict: dict, values: pd.Series) -> BNode:
         match dim_dict.get("scale-type"):
             case "nominal":
                 self._graph.add((dim_node, QUDT.scaleType, QUDT.NominalScale))
-                if dim_dict.get("dimension-type") == "Measure Dimension":
+                if dim_dict.get("dimension-type") == "Key Dimension":
                     self._add_sh_list(dim_node, values)
             case "ordinal":
                 self._graph.add((dim_node, QUDT.scaleType, QUDT.OrdinalScale))
-                if dim_dict.get("dimension-type") == "Measure Dimension":
+                if dim_dict.get("dimension-type") == "Key Dimension":
                     self._add_sh_list(dim_node, values)
             case "interval":
                 self._graph.add((dim_node, QUDT.scaleType, QUDT.IntervalScale))
@@ -523,7 +523,6 @@ def _write_annotation(self, annotation_dict: dict) -> BNode:
                 case "additive":
                     value = dimension_dict.get("mapping").get("base") + str(value)
                 case "replace":
-                    print(value)
                     value = dimension_dict.get("mapping").get("replacements").get(value)
 
             context_node = BNode()

tests/test_cube.py

@@ -15,6 +15,7 @@ def setup_method(self):
             environment="TEST", local=True
         )
         self.cube.prepare_data().write_cube().write_observations().write_shape()
+        self.cube.serialize("tests/test_cube.ttl")
 
     def test_standard_error(self):
         sparql = (
@@ -151,25 +152,19 @@ def test_annotation_dimension(self):
         assert bool(result)
 
     def test_validate_basic_valid(self):
-        self.cube._graph = Graph().parse("./example/mock/cube.ttl")
         result_bool, result_massage = self.cube._validate_base(serialize_results=True)
         assert bool(result_bool)
 
-    def test_validate_basic_invalid(self):
-        self.cube._graph = Graph().parse("./tests/turtle/invalid_cube_cube.ttl")
-        result_bool, result_message = self.cube._validate_base()
-        assert bool(not result_bool)
-
     def test_validate_visualize_valid(self):
-        self.cube._graph = Graph().parse("./example/mock/cube.ttl")
-        result_bool, result_message = self.cube._validate_visualize_profile()
+        result_bool, result_message = self.cube._validate_visualize_profile(serialize_results=True)
         assert bool(result_bool)
 
     def test_validate_opendata_valid(self):
-        self.cube._graph = Graph().parse("./example/mock/cube.ttl")
         result_bool, result_message = self.cube._validate_opendata_profile()
         assert bool(result_bool)
 
+    # todos: berücksichtige severity
+    # todos: berücksichtige timestamps - vorher removen, danach setzen
 
     # Tests:
     # basic: standalone-cube-constraint + standalone-constraint-constraint + integrity