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BlablaChallenge #174

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82 changes: 82 additions & 0 deletions submissions/Souka21/solution.py
Original file line number Diff line number Diff line change
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import csv

MAX_PRICE = 100.00
NUM_CHEAPEST_PRODUCTS = 5

def process_city_data(filename):
"""Process input CSV file to extract city data.

Args:
filename (str): The name of the input CSV file.

Returns:
dict: A dictionary containing city data indexed by city names.
Each city entry contains:
'total_price': Total price of all products in the city.
'cheapest_products': List of tuples containing the names and prices of the cheapest products.
"""
cities = {}

with open(filename, 'r') as file:
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This will load the whole file in memory and would probably trigger an OOM

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aaah ok you are right

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i can use csv.reader to prevent this

reader = csv.reader(file)
next(reader) # Skip header row
for row in reader:
city, product, price = row[0], row[1], float(row[2])
if city not in cities:
cities[city] = {'total_price': 0, 'cheapest_products': []}
cities[city]['total_price'] += price
cities[city]['cheapest_products'].append((product, price))

return cities

def find_cheapest_city(cities):
"""Find the city with the lowest total price.

Args:
cities (dict): A dictionary containing city data indexed by city names.

Returns:
str: The name of the city with the lowest total price.
"""
min_city = min(cities, key=lambda city: cities[city]['total_price'])
return min_city

def find_cheapest_products(cities, min_city):
"""Find the cheapest products in a given city.

Args:
cities (dict): A dictionary containing city data indexed by city names.
min_city (str): The name of the city for which to find the cheapest products.

Returns:
list: A list of tuples containing the names and prices of the cheapest products.
"""
min_products = cities[min_city]['cheapest_products']
min_products.sort(key=lambda x: x[1]) # Sort cheapest products by price
return min_products[:NUM_CHEAPEST_PRODUCTS]

def write_output(filename, min_city, min_products):
"""Write the output to a file.

Args:
filename (str): The name of the output file.
min_city (str): The name of the city with the lowest total price.
min_products (list): A list of tuples containing the names and prices of the cheapest products.
"""
with open(filename, 'w') as file:
file.write(f"{min_city} {sum(product[1] for product in min_products):.2f}\n")
for product in min_products:
file.write(f"{product[0]} {product[1]:.2f}\n")

def main():
"""Main function to execute the program."""
input_filename = 'input.txt'
output_filename = 'output.txt'

cities = process_city_data(input_filename)
min_city = find_cheapest_city(cities)
min_products = find_cheapest_products(cities, min_city)
write_output(output_filename, min_city, min_products)

if __name__ == "__main__":
main()