Update test_kg_maker.py

kgmaker need two variables

tests/test_kg_maker.py

@@ -88,7 +88,8 @@ class TestGroupMetadata(unittest.TestCase):
             "meta1":["meta1_value1","meta1_value2","meta1_value3"],
             "meta2": ["meta2_value4", "meta2_value5", "meta2_value6"]
         })#have the same activity value
-        self.meta_data_same=KgMaker(self.df_same)
+        self.meta_data_same=KgMaker(self.df_same,{})
+    
 
         self.df=self.df_same=pd.DataFrame({
             "case id":[1,2,3],
@@ -97,17 +98,17 @@ class TestGroupMetadata(unittest.TestCase):
             "meta1":["meta1_value1","meta1_value2","meta1_value3"],
             "meta2": ["meta2_value4", "meta2_value5", "meta2_value6"]
         })#no same group
-        self.meta_data=KgMaker(self.df)
+        self.meta_data=KgMaker(self.df,{})
 
     def test_add_meta_data(self):
-        result_df_same=self.meta_data_same.add_meta_data()
+        result_df_same=self.meta_data_same.group_meta_data()
         expected_df_same = pd.DataFrame({
             "activity": ["activity1", "activity2"],
             "meta1": ["meta1_value1", "meta1_value2"],
             "meta2": ["meta2_value4", "meta2_value5"]
         })
 
-        result_df=self.meta_data.add_meta_data()
+        result_df=self.meta_data.group_meta_data()
         expected_df=pd.DataFrame({
             "activity":["activity1","activity2","activity3"],
             "meta1":["meta1_value1","meta1_value2","meta1_value3"],