Update val_sim.py

val_sim.py

@@ -5,26 +5,22 @@ import random
 from statistics import mean, stdev
 import json
 import sys
-import cgitb
-cgitb.enable()
 
 # Read input from stdin
 input_data = sys.stdin.read()
-
-# Parse the input data as JSON
-event_dict = json.loads(input_data)
+event = json.loads(input_data)
 
 # Extract the values from the event dictionary
-dt = json.loads(event_dict['key1'])  # List of dates
-close = json.loads(event_dict['key2'])  # List of close prices
-buy = json.loads(event_dict['key3'])  # List of buy signals
-sell = json.loads(event_dict['key4'])  # List of sell signals
-h = int(event_dict['key5'])  # History length
-d = int(event_dict['key6'])  # Number of shots
-t = event_dict['key7']  # Trade type ('buy' or 'sell')
+dt = eval(event['key1'])
+close = eval(event['key2'])
+buy = eval(event['key3'])
+sell = eval(event['key4'])
+h = int(event['key5'])
+d = int(event['key6'])
+t = event['key7']
 
-minhistory = int(h)
-shots = int(d)
+minhistory = h
+shots = d
 
 var95_list = []
 var99_list = []
@@ -65,6 +61,6 @@ response = {
     "var99_list": var99_list
 }
 
-# Print the output as a JSON string, which is how CGI scripts return data
+# Output result as JSON
 print("Content-Type: application/json\n")
 print(json.dumps(response))