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# ---> Python
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/#use-with-ide
.pdm.toml
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/

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# dubl2_uga

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data.txt Normal file

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import datetime
# Превращаем "иванов ПЕТР" в "Иванов П. П."
def format_customer_name(full_name):
fio = full_name.split()
if not fio: return ""
surname = fio[0].capitalize()
# Собираем инициалы через цикл
initials = ""
for name in fio[1:]:
initials += f" {name[0].upper()}."
return f"{surname}{initials}"
# Считаем скидочку: электроника - 10%, остальное - 5%
def calculate_discount(total_sum, category):
if category.lower() == "electronics":
rate = 0.10
else:
rate = 0.05
return round(total_sum * rate, 2)
# Проверяем, не пустой ли склад
def validate_stock(product_id, quantity, warehouse_db):
v_nalichii = warehouse_db.get(product_id, 0)
return v_nalichii >= quantity
# Добавляем налог региона
def apply_tax(price, region_code):
taxes = {"77": 1.20, "78": 1.15} # Москва и Питер
tax_rate = taxes.get(region_code, 1.10) # Остальные - 10%
return round(price * tax_rate, 2)
# Бьем строку из файла на части
def parse_raw_order(csv_line):
d = csv_line.strip().split(';')
return {
"id": d[0], "product": d[1], "price": float(d[2]),
"qty": int(d[3]), "user_id": d[4], "customer_name": d[5],
"category": d[6], "region": d[7]
}
# Просто фильтр по цене
def filter_by_price(orders_list, min_price):
res = []
for o in orders_list:
if o['price'] >= min_price:
res.append(o)
return res
# Собираем все уникальные категории в кучу
def get_unique_categories(products_list):
cats = []
for p in products_list:
cats.append(p['category'])
return set(cats)
# Считаем сколько юзер накупил за все время
def summarize_user_activity(user_id, all_orders):
u_orders = [o for o in all_orders if o['user_id'] == user_id]
total = sum(o['total_spent'] for o in u_orders)
return {"total_orders": len(u_orders), "total_spent": round(total, 2)}
# Генерим красивый номер дока
def generate_invoice_id(index, region):
return f"2024-{region}-{index:04d}"
# Просто вывод лога с временем
def log_transaction(status, message):
t = datetime.datetime.now().strftime("%H:%M:%S")
return f"[{t}] {status.upper()}: {message}"
def main():
# Типа наша база данных
sklad = {"101": 50, "102": 2, "103": 100, "104": 15}
orders_list = []
# Читаем данные из файла
try:
with open('data.txt', 'r', encoding='utf-8') as f:
lines = f.readlines()
except FileNotFoundError:
print("Ошибка: Файл data.txt не найден!")
return
print(log_transaction("info", "Начинаем обработку..."))
for i, line in enumerate(lines, 1):
if not line.strip(): continue # Пропуск пустых строк
# Парсим строку в словарь
order = parse_raw_order(line)
# Проверяем склад
if validate_stock(order['id'], order['qty'], sklad):
# Считаем деньги
raw_sum = order['price'] * order['qty']
discount = calculate_discount(raw_sum, order['category'])
final_sum = apply_tax(raw_sum - discount, order['region'])
# Дописываем новые данные в словарь
order['invoice'] = generate_invoice_id(i, order['region'])
order['clean_name'] = format_customer_name(order['customer_name'])
order['total_spent'] = final_sum
orders_list.append(order)
print(log_transaction("ok", f"Заказ {order['invoice']} для {order['clean_name']} готов"))
else:
print(log_transaction("error", f"Товара {order['id']} маловато на складе"))
# Выводим финальную стату
print("\n" + "=" * 30)
print("ИТОГОВЫЙ ОТЧЕТ ПО ЮЗЕРАМ:")
print("=" * 30)
unique_users = set(o['user_id'] for o in orders_list)
for u in unique_users:
stats = summarize_user_activity(u, orders_list)
# Находим имя юзера для красоты
name = next(o['clean_name'] for o in orders_list if o['user_id'] == u)
print(f"Клиент: {name:20} | Заказов: {stats['total_orders']} | Итого: {stats['total_spent']} руб.")
# Список всех категорий
all_cats = get_unique_categories(orders_list)
print("\nРаботали с категориями:", ", ".join(all_cats))
if __name__ == "__main__":
main()