Update val_sim.py

val_sim.py

-#The below code was referenced and modified as per the requirement from the code provided on course work desciption document.
-#The handling of the input from the  GAE(codes from line 9 to 18) are adopted from Python3 documentation https://docs.python.org/3/library/
-#!/usr/bin/python3
-
-import math, random, sys, json
-from statistics import mean, stdev
-
-
-event = json.loads(sys.stdin.read())
+import json
+import sys
 
+# Read input from stdin
+input_data = sys.stdin.read()
+event = json.loads(input_data)
 
+# Extract the values from the event dictionary
 dt = eval(event['key1'])
 close = eval(event['key2'])
 buy = eval(event['key3'])
@@ -16,44 +13,18 @@ sell = eval(event['key4'])
 h = int(event['key5'])
 d = int(event['key6'])
 t = event['key7']
-minhistory = h
-shots = d
-var95_list = []
-var99_list = []
-dates = []
-
-for i in range(minhistory, len(close)):
-	if t == "buy":
-		if buy[i] == 1: 
-			close_data = close[i-minhistory:i]
-			pct_change = [(close_data[i] - close_data[i-1]) / close_data[i-1] for i in range(1,len(close_data))]
-			mean = mean(pct_change)
-			std = stdev(pct_change)
-			simulated = [random.gauss(mean,std) for x in range(shots)]
-			simulated.sort(reverse=True)
-			var95 = simulated[int(len(simulated)*0.95)]
-			var99 = simulated[int(len(simulated)*0.99)]
-			var95_list.append(var95)
-			var99_list.append(var99)
-			dates.append(str(dt[i]))
-	elif t == "sell":
-		if sell[i] == 1:
-			close_data = close[i-minhistory:i]
-			pct_change = [(close_data[i] - close_data[i-1]) / close_data[i-1] for i in range(1,len(close_data))]
-			mean = mean(pct_change)
-			std = stdev(pct_change)
-			simulated = [random.gauss(mean,std) for x in range(shots)]
-			simulated.sort(reverse=True)
-			var95 = simulated[int(len(simulated)*0.95)]
-			var99 = simulated[int(len(simulated)*0.99)]
-			var95_list.append(var95)
-			var99_list.append(var99)
-			dates.append(str(dt[i]))
-
-output = {"dates" : dates,
-		"var95" : var95_list,
-		"var99" : var99_list
-		}
-
-output = json.dumps(output)
 
+# Prepare the output with the received input values
+output = {
+    "dates": dt,
+    "close": close,
+    "buy": buy,
+    "sell": sell,
+    "h": h,
+    "d": d,
+    "t": t
+}
+
+# Print result as JSON
+print("Content-Type: application/json\n")
+print(json.dumps(output))