def calculate_ltv (query_results, aggregation_method, profiles):
  responses_by_id = {}
 
  for  i in profiles:
    if aggregation_method == "count" or aggregation_method == "sum":
        # default all entries for counted or summed aggregations to 0 to start... will be replaced later if there is a response
        responses_by_id[i["id"]] = [0]
 
  for row in query_results:
    responses_by_id[row["id"]] = row["data"]
 
  return responses_by_id
 
 
mock_query_results = [{"id":1, "data":[112.50]}, {"id":2, "data":[16.48]}, {"id":3, "data":[42.97]}, {"id":4, "data":[96.41]}]
mock_aggregation_method = "sum"
mock_profiles = [{"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}]
 
 
print(calculate_ltv(mock_query_results, mock_aggregation_method, mock_profiles))
 

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