Update app.py

app.py

@@ -104,6 +104,7 @@ streamLanduses = speckle_utils.getSpeckleStream(streamId,luBranchName,CLIENT, lu
 streamData = streamLanduses["@Data"]["@{0}"]
 df_speckle_lu = speckle_utils.get_dataframe(streamData, return_original_df=False)
 df_lu = df_speckle_lu.copy()
+df_lu = df_lu.astype(str)
 # set index column
 df_lu =  df_lu.set_index("ids", drop=False)
 
@@ -122,7 +123,7 @@ for name in df_lu.columns:
 df_lu_filtered = df_lu[lu_columns].loc[mask_connected]
 
 df_lu_filtered.columns = [col.replace('lu+', '') for col in df_lu_filtered.columns]
-#df_lu_filtered.columns = [col.replace('ASSETS+', '') for col in df_lu_filtered.columns]
+df_lu_filtered.columns = [col.replace('ASSETS+', '') for col in df_lu_filtered.columns]
 
 df_lu_filtered = df_lu_filtered.astype(str)
 df_lu_filtered_dict = df_lu_filtered.to_dict('index')
@@ -140,12 +141,11 @@ def test(input_json):
     
     # ------------------------- Accessing input data from Grasshopper ------------------------- #
     
-    #if df_dm is None:
+
     matrix = inputs['input']["matrix"]
-        
-    #if df_dm_transport is None:
     matrix_transport = inputs['input']["transportMatrix"]  
-
+    landuses = inputs['input']["landuse_areas"]    
+    
     """
     if df_lu_filtered is None or df_lu_filtered.empty:
         landuses = inputs['input']["landuse_areas"]