Update app.py

app.py

@@ -124,7 +124,7 @@ def test(input_json):
 
     WorkplacesNumber = FindWorkplaces(df_matrix,attributeMapperDict,LivabilitySubdomainsWeights,subdomainsUnique)
 
-    LivabilitySubdomainsWeights =pd.concat([LivabilitySubdomainsWeights, WorkplacesNumber], axis=1)
+    LivabilitySubdomainsInputs =pd.concat([LivabilitySubdomainsWeights, WorkplacesNumber], axis=1)
     
     # make a dictionary to output in grasshopper / etc
     LivabilitySubdomainsWeights_dictionary = LivabilitySubdomainsWeights.to_dict('index')
@@ -145,7 +145,7 @@ def test(input_json):
         
         return subdomainsAccessibility
     
-    subdomainsAccessibility = computeAccessibility(df_matrix,subdomainsUnique,LivabilitySubdomainsWeights,alpha,threshold)
+    subdomainsAccessibility = computeAccessibility(df_matrix,subdomainsUnique,LivabilitySubdomainsInputs,alpha,threshold)
 
     # make a dictionary to output in grasshopper / etc
     subdomainsAccessibility_dictionary = subdomainsAccessibility.to_dict('index')
@@ -155,13 +155,18 @@ def test(input_json):
         return C_min + (((value - B_min) / (B_max - B_min))* (C_max - C_min))    
 
 
+    if 'jobs' not in subdomainsAccessibility.columns:
+        print("Error: Column 'jobs' does not exist in the subdomainsAccessibility.")
+
+    
     
     def accessibilityToLivability (DistanceMatrix,subdomainsAccessibility, SubdomainAttributeDict,UniqueDomainsList):
     
         livability = pd.DataFrame(index=DistanceMatrix.index, columns=subdomainsAccessibility.columns)
+        livability.drop(columns='jobs', inplace=True)
+        livability["Workplaces"] = 0
         livability.fillna(0, inplace=True)
         
-        
              
         for domain in UniqueDomainsList:
             livability[domain] = 0