new

resultview.py

@@ -53,8 +53,10 @@ def tenant_inference(similarity_matrix, requested_tenants,dataframe):
 def algo_start(id):
 
     dataframe, original_dataframe = sm.data_preparing()
+    print("Received data preparing")
     #sm.data_checking(dataframe)
     similarity_matrix = sm.encoder_matrix(dataframe, min_range = 0, max_range=100)
+    print("Received similarity")
     tenant_list = tenant_inference(similarity_matrix, id,original_dataframe)
     print("Fin algo start check")
     return tenant_list

similarity.py

@@ -15,6 +15,7 @@ def data_preparing():
     original_dataframe = pd.read_sql("SELECT * FROM tenants", con=engine)
     columns = ['age', 'worktimes', 'schedules', 'studieslevel', 'pets', 'cooking', 'sport', 'smoking', 'organized']
     dataframe = original_dataframe[columns]
+    
     return dataframe, original_dataframe
 
 def data_checking(dataframe):