Update app.py

app.py

@@ -20,7 +20,9 @@ def test(input_json):
     weights = inputs['input']["weights"]
 
     alpha = inputs['input']["alpha"]
+    alpha = float(alpha)
     threshold = inputs['input']["threshold"]
+    threshold = float(threshold)
     
     #print("Parsed input keys:", inputs.keys())
 
@@ -31,22 +33,24 @@ def test(input_json):
     #multiplier_series = pd.Series(float(inputs["a_list"]), index=inputs["dataframe"].index)
     #new_df["new column"] = float(inputs["dataframe"]).mul(multiplier_series, axis=0)
 
-
+    #df_matrix = pd.DataFrame(matrix).T
+    #df_weights = pd.DataFrame(weights).T
 
     """  
-    def computeAccessibility (DistanceMatrix,destinationWeights, alpha = 0.0038, dist_threshold = 600):
+    def computeAccessibility (DistanceMatrix,destinationWeights, alpha = 0.0038, threshold = 600):
     
       decay_factors = np.exp(-alpha * DistanceMatrix) * (DistanceMatrix <= threshold)
       subdomainsAccessibility = pd.DataFrame(index=DistanceMatrix.index, columns=destinationWeights.columns)
       for col in destinationWeights.columns:
         subdomainsAccessibility[col] = (decay_factors * destinationWeights[col].values).sum(axis=1)
     
-      subdomainsAccessibility.drop(columns='commercial', inplace=True)
+      #subdomainsAccessibility.drop(columns='commercial', inplace=True)
       return subdomainsAccessibility
     """
 
-    #df = pd.DataFrame(matrix).T
-    
+   #subdomainsAccessibility = computeAccessibility(df_matrix,df_weights,alpha,threshold)
+
+    #subdomainsAccessibility_dict = subdomainsAccessibility.to_dict('index')
 
     # Prepare the output
     output = {