update main

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presnecov_danila 2026-04-17 20:07:44 +03:00
parent 96e67e65d9
commit 424f6633a4
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data/sales.csv Normal file
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Ноутбук,Электроника,1200,5,2024-01-15
Мышь,Электроника,25,15,2024-01-20
Клавиатура,Электроника,45,10,2024-02-10
Кофеварка,Техника,150,3,2024-02-15
Футболка,Одежда,20,50,2024-02-20
Джинсы,Одежда,60,20,2024-03-05
Лампа,Дом,35,12,2024-03-12
Чайник,Техника,80,8,2024-03-20
Монитор,Электроника,300,4,2024-04-01
Носки,Одежда,5,100,2024-04-05
Рюкзак,Аксессуары,55,15,2024-04-10
Книга,Хобби,15,30,2024-01-25
Блокнот,Хобби,8,40,2024-02-01
Ручка,Хобби,2,200,2024-02-05
Коврик для йоги,Спорт,25,20,2024-03-15
Гантели,Спорт,40,10,2024-04-12
Наушники,Электроника,90,12,2024-04-18
Сковорода,Дом,45,6,2024-01-30
Подушка,Дом,25,14,2024-02-28
Зеркало,Дом,110,2,2024-03-25
1 Ноутбук Электроника 1200 5 2024-01-15
2 Мышь Электроника 25 15 2024-01-20
3 Клавиатура Электроника 45 10 2024-02-10
4 Кофеварка Техника 150 3 2024-02-15
5 Футболка Одежда 20 50 2024-02-20
6 Джинсы Одежда 60 20 2024-03-05
7 Лампа Дом 35 12 2024-03-12
8 Чайник Техника 80 8 2024-03-20
9 Монитор Электроника 300 4 2024-04-01
10 Носки Одежда 5 100 2024-04-05
11 Рюкзак Аксессуары 55 15 2024-04-10
12 Книга Хобби 15 30 2024-01-25
13 Блокнот Хобби 8 40 2024-02-01
14 Ручка Хобби 2 200 2024-02-05
15 Коврик для йоги Спорт 25 20 2024-03-15
16 Гантели Спорт 40 10 2024-04-12
17 Наушники Электроника 90 12 2024-04-18
18 Сковорода Дом 45 6 2024-01-30
19 Подушка Дом 25 14 2024-02-28
20 Зеркало Дом 110 2 2024-03-25

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data/sales.txt Normal file
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main.py Normal file
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import csv
from collections import defaultdict
def load_data(filepath: str) -> list[dict]:
records = []
with open(filepath, mode='r', encoding='utf-8') as f:
reader = csv.reader(f)
for row in reader:
if not row: continue
name, category, price, quantity, date = row
records.append({
"name": name.strip(),
"category": category.strip(),
"price": float(price),
"quantity": int(quantity),
"date": date.strip()
})
return records
def clean_data(records: list[dict]) -> list[dict]:
cleaned = []
for r in records:
if r['price'] >= 0 and r['quantity'] >= 0:
r['category'] = r['category'].lower()
cleaned.append(r)
return cleaned
def filter_by_category(records: list[dict], category: str) -> list[dict]:
return [r for r in records if r['category'] == category.lower()]
def filter_by_price_range(records: list[dict], min_price: float, max_price: float) -> list[dict]:
return [r for r in records if min_price <= r['price'] <= max_price]
def total_revenue(records: list[dict]) -> float:
return sum(r['price'] * r['quantity'] for r in records)
def category_revenue(records: list[dict]) -> dict[str, float]:
rev_map = defaultdict(float)
for r in records:
rev_map[r['category']] += r['price'] * r['quantity']
return dict(rev_map)
def top_n_items(records: list[dict], n: int) -> list[tuple[str, int]]:
counts = defaultdict(int)
for r in records:
counts[r['name']] += r['quantity']
sorted_items = sorted(counts.items(), key=lambda x: x[1], reverse=True)
return sorted_items[:n]
def monthly_sales(records: list[dict]) -> dict[str, float]:
monthly_rev = defaultdict(float)
for r in records:
month = r['date'][:7] # Извлекает YYYY-MM
monthly_rev[month] += r['price'] * r['quantity']
return dict(sorted(monthly_rev.items()))
def best_selling_category(records: list[dict]) -> str:
cat_rev = category_revenue(records)
if not cat_rev: return ""
return max(cat_rev, key=cat_rev.get)
def export_summary(records: list[dict], output_path: str) -> None:
rev = total_revenue(records)
best_cat = best_selling_category(records)
top3 = top_n_items(records, 3)
monthly = monthly_sales(records)
with open(output_path, 'w', encoding='utf-8') as f:
f.write("СВОДНЫЙ ОТЧЕТ ПО ПРОДАЖАМ\n")
f.write("=" * 30 + "\n")
f.write(f"Общая выручка: {rev:.2f}\n")
f.write(f"Лучшая категория: {best_cat}\n\n")
f.write("Топ-3 товара (по количеству):\n")
for name, qty in top3:
f.write(f"- {name}: {qty} шт.\n")
f.write("\nВыручка по месяцам:\n")
for month, m_rev in monthly.items():
f.write(f"- {month}: {m_rev:.2f}\n")
def main():
#Пометки для себя любимого
#Загрузка
data = load_data("data/sales.csv")
#Очистка
data = clean_data(data)
#Фильтрация
filtered = filter_by_price_range(data, 10, 500)
#Анализ
rev = total_revenue(filtered)
cat_rev = category_revenue(filtered)
best_cat = best_selling_category(filtered)
top3 = top_n_items(filtered, 3)
monthly = monthly_sales(filtered)
#Вывод в консоль
print(f"--- Результаты анализа (фильтр: 10-500 руб) ---")
print(f"Общая выручка: {rev:.2f}")
print(f"Лучшая категория: {best_cat.capitalize()}")
print(f"Топ-3 товара: {top3}")
print(f"Выручка по месяцам: {monthly}")
#Экспорт
export_summary(filtered, "report.txt")
print(f"\nОтчет успешно сохранен в report.txt")
if __name__ == "__main__":
main()

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report.txt Normal file
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СВОДНЫЙ ОТЧЕТ ПО ПРОДАЖАМ
==============================
Общая выручка: 9830.00
Лучшая категория: электроника
Топ-3 товара (по количеству):
- Футболка: 50 шт.
- Книга: 30 шт.
- Джинсы: 20 шт.
Выручка по месяцам:
- 2024-01: 1095.00
- 2024-02: 2250.00
- 2024-03: 2980.00
- 2024-04: 3505.00