Update app.py

app.py

@@ -42,10 +42,26 @@ def test(input_json):
     df_landuses = df_landuses.round(0).astype(int)
 
 
+    """
+    if len(A) == len(B):
+        B.index = A
+    else:
+        print("The lengths do not match.")
+    """
+    
     # create a mask based on the matrix size and ids, crop activity nodes to the mask
 
     mask_connected = df_matrix.index.tolist()
-    df_landuses_filtered = df_landuses.loc[mask_connected]
+
+    valid_indexes = [idx for idx in mask_connected if idx in df_landuses.index]
+    # Identify and report missing indexes
+    missing_indexes = set(mask_connected) - set(valid_indexes)
+    if missing_indexes:
+        print(f"Error: The following indexes were not found in the DataFrame: {missing_indexes}")
+    
+    # Apply the filtered mask
+    df_landuses_filtered = df_landuses.loc[valid_indexes]
+
 
     # find a set of unique domains, to which subdomains are aggregated