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BlablaChallenge #174
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BlablaChallenge #174
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,82 @@ | ||
import csv | ||
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MAX_PRICE = 100.00 | ||
NUM_CHEAPEST_PRODUCTS = 5 | ||
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def process_city_data(filename): | ||
"""Process input CSV file to extract city data. | ||
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Args: | ||
filename (str): The name of the input CSV file. | ||
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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 = {} | ||
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with open(filename, 'r') as file: | ||
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)) | ||
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return cities | ||
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def find_cheapest_city(cities): | ||
"""Find the city with the lowest total price. | ||
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Args: | ||
cities (dict): A dictionary containing city data indexed by city names. | ||
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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 | ||
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def find_cheapest_products(cities, min_city): | ||
"""Find the cheapest products in a given city. | ||
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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. | ||
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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] | ||
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def write_output(filename, min_city, min_products): | ||
"""Write the output to a file. | ||
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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") | ||
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def main(): | ||
"""Main function to execute the program.""" | ||
input_filename = 'input.txt' | ||
output_filename = 'output.txt' | ||
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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) | ||
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if __name__ == "__main__": | ||
main() |
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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