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162
.gitignore
vendored
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162
.gitignore
vendored
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# ---> Python
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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140
nime1.py
140
nime1.py
@ -1,140 +0,0 @@
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import datetime
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# Превращаем "иванов ПЕТР" в "Иванов П. П."
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def format_customer_name(full_name):
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fio = full_name.split()
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if not fio: return ""
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surname = fio[0].capitalize()
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# Собираем инициалы через цикл
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initials = ""
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for name in fio[1:]:
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initials += f" {name[0].upper()}."
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return f"{surname}{initials}"
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# Считаем скидочку: электроника - 10%, остальное - 5%
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def calculate_discount(total_sum, category):
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if category.lower() == "electronics":
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rate = 0.10
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else:
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rate = 0.05
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return round(total_sum * rate, 2)
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# Проверяем, не пустой ли склад
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def validate_stock(product_id, quantity, warehouse_db):
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v_nalichii = warehouse_db.get(product_id, 0)
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return v_nalichii >= quantity
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# Добавляем налог региона
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def apply_tax(price, region_code):
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taxes = {"77": 1.20, "78": 1.15} # Москва и Питер
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tax_rate = taxes.get(region_code, 1.10) # Остальные - 10%
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return round(price * tax_rate, 2)
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# Бьем строку из файла на части
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def parse_raw_order(csv_line):
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d = csv_line.strip().split(';')
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return {
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"id": d[0], "product": d[1], "price": float(d[2]),
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"qty": int(d[3]), "user_id": d[4], "customer_name": d[5],
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"category": d[6], "region": d[7]
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}
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# Просто фильтр по цене
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def filter_by_price(orders_list, min_price):
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res = []
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for o in orders_list:
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if o['price'] >= min_price:
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res.append(o)
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return res
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# Собираем все уникальные категории в кучу
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def get_unique_categories(products_list):
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cats = []
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for p in products_list:
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cats.append(p['category'])
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return set(cats)
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# Считаем сколько юзер накупил за все время
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def summarize_user_activity(user_id, all_orders):
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u_orders = [o for o in all_orders if o['user_id'] == user_id]
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total = sum(o['total_spent'] for o in u_orders)
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return {"total_orders": len(u_orders), "total_spent": round(total, 2)}
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# Генерим красивый номер дока
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def generate_invoice_id(index, region):
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return f"2024-{region}-{index:04d}"
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# Просто вывод лога с временем
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def log_transaction(status, message):
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t = datetime.datetime.now().strftime("%H:%M:%S")
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return f"[{t}] {status.upper()}: {message}"
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def main():
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# Типа наша база данных
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sklad = {"101": 50, "102": 2, "103": 100, "104": 15}
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orders_list = []
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# Читаем данные из файла
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try:
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with open('data.txt', 'r', encoding='utf-8') as f:
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lines = f.readlines()
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except FileNotFoundError:
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print("Ошибка: Файл data.txt не найден!")
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return
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print(log_transaction("info", "Начинаем обработку..."))
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for i, line in enumerate(lines, 1):
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if not line.strip(): continue # Пропуск пустых строк
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# Парсим строку в словарь
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order = parse_raw_order(line)
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# Проверяем склад
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if validate_stock(order['id'], order['qty'], sklad):
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# Считаем деньги
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raw_sum = order['price'] * order['qty']
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discount = calculate_discount(raw_sum, order['category'])
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final_sum = apply_tax(raw_sum - discount, order['region'])
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# Дописываем новые данные в словарь
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order['invoice'] = generate_invoice_id(i, order['region'])
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order['clean_name'] = format_customer_name(order['customer_name'])
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order['total_spent'] = final_sum
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orders_list.append(order)
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print(log_transaction("ok", f"Заказ {order['invoice']} для {order['clean_name']} готов"))
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else:
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print(log_transaction("error", f"Товара {order['id']} маловато на складе"))
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# Выводим финальную стату
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print("\n" + "=" * 30)
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print("ИТОГОВЫЙ ОТЧЕТ ПО ЮЗЕРАМ:")
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print("=" * 30)
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unique_users = set(o['user_id'] for o in orders_list)
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for u in unique_users:
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stats = summarize_user_activity(u, orders_list)
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# Находим имя юзера для красоты
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name = next(o['clean_name'] for o in orders_list if o['user_id'] == u)
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print(f"Клиент: {name:20} | Заказов: {stats['total_orders']} | Итого: {stats['total_spent']} руб.")
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# Список всех категорий
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all_cats = get_unique_categories(orders_list)
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print("\nРаботали с категориями:", ", ".join(all_cats))
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if __name__ == "__main__":
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main()
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