Update app.py

app.py

@@ -13,31 +13,15 @@ def test(input_json):
         inputs = json.loads(input_json.replace("'", '"'))
 
     # Accessing the 'a_list' string and converting it to a list of integers
-    a_list = inputs['input']['a_list']
-
-
+    ids_index = inputs['input']['ids_list']
 
     # Extract the datatree part which is a list of dictionaries
-    datatree = inputs['input']["datatree"]
-    
-    # Rebuild a Python dictionary from the datatree
-    # Initialize an empty dictionary
-    #python_dict = {}
-
+    matrix = inputs['input']["matrix"]
+    weights = inputs['input']["weights"]
 
-
-    """
-    # Iterate through each item in the datatree list
-    for branch_dict in datatree:
-        # Each branch_dict is a dictionary with one key-value pair
-        for key, value in branch_dict.items():
-            # Assign the key and value to the new dictionary
-            python_dict[key] = value
-    """    
-
-    #a_list = [int(item.strip()) for item in a_list_string.split(',')]
-        
-        
+    alpha = inputs['input']["alpha"]
+    threshold = inputs['input']["threshold"]
+    
     #print("Parsed input keys:", inputs.keys())
 
     #print("Parsed input values:", inputs.values())
@@ -46,12 +30,28 @@ def test(input_json):
     #new_df = pd.DataFrame(index=inputs["dataframe"].index, columns=inputs["dataframe"].columns)
     #multiplier_series = pd.Series(float(inputs["a_list"]), index=inputs["dataframe"].index)
     #new_df["new column"] = float(inputs["dataframe"]).mul(multiplier_series, axis=0)
+
+
+
+    """  
+    def computeAccessibility (DistanceMatrix,destinationWeights, alpha = 0.0038, dist_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)
+      return subdomainsAccessibility
+    """
+
+    df = pd.DataFrame(matrix).T
     
 
     # Prepare the output
     output = {
-        "list": a_list,
-        "matrix": datatree,
+        "list": ids_index,
+        "matrix": df
     }
 
     return json.dumps(output)