Fix multicsv app

python-ortools-knapsack-multicsv/input/items.csv

@@ -1,12 +1,12 @@
-"id","value","weight"
-"cat",100,20
-"dog",20,45
-"water",40,2
-"phone",6,1
-"book",63,10
-"rx",81,1
-"tablet",28,8
-"coat",44,9
-"laptop",51,13
-"keys",92,1
-"nuts",18,4
+id,value,weight
+cat,100,20
+dog,20,45
+water,40,2
+phone,6,1
+book,63,10
+rx,81,1
+tablet,28,8
+coat,44,9
+laptop,51,13
+keys,92,1
+nuts,18,4

python-ortools-knapsack-multicsv/input/weight_capacity.csv

@@ -1,2 +1,2 @@
-"weight_capacity"
+weight_capacity
 50

python-ortools-knapsack-multicsv/main.py

@@ -58,12 +58,12 @@ def solve(input: nextmv.Input, options: nextmv.Options) -> nextmv.Output:
     for item in input.data["items"]:
         item_variable = solver.IntVar(0, 1, item["id"])
         items.append({"item": item, "variable": item_variable})
-        weights += item_variable * item["weight"]
-        values += item_variable * item["value"]
+        weights += item_variable * int(item["weight"])
+        values += item_variable * int(item["value"])
 
     # This constraint ensures the weight capacity of the knapsack will not be
     # exceeded.
-    capacity = input.data["weight_capacity"][0]["weight_capacity"]  # Read as a CSV.
+    capacity = int(input.data["weight_capacity"][0]["weight_capacity"])  # Read as a CSV.
     solver.Add(weights <= capacity)
 
     # Sets the objective function: maximize the value of the chosen items.