2025-10-08 20:40:41,539 - INFO - Namespace(input='all_stocks_5yr.csv', output='result.csv')

import sys

import argparse

import logging

from collections import defaultdict

logging.basicConfig(filename="app.log", level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')

stock_details= defaultdict(list)

stock_details[row['Name']].append(row['close'])

return stock_details

logging.debug(f"file not found at {path}")

sys.exit(1)

with open(file_path, 'w', newline='') as file:

logging.debug(f"file not found at {file_path}")

sys.exit(1)

def calculate_stocks(stock_details):

try:

price_list=[]

for name, stock_price in stock_details.items():

try:

price = list(map(float, stock_price))

except ValueError:

logging.debug(f"There is some problem with {price}")

continue

price_dict = {

"Name": name,

"Total": sum(price),

'Average': round(mean(price),2),

'Maximum': max(price),

'Minimum':min(price)

}

price_list.append(price_dict)

return price_list

except TypeError as e:

print(e)

def main():

parser = argparse.ArgumentParser(description='parse stock csv and calculate stats')

parser.add_argument("input")

parser.add_argument("output")

args = parser.parse_args()

logging.info(args)

stock_details = parse_csv(args.input)

header_list = ['Name', 'Total','Average','Minimum','Maximum']

write_to_csv(args.output, stock_stats_list, header_list)

if __name__ == "__main__":

main()