задача с токенами на запись, добавлена тестовая задача для проверки работы

.gitignore

@@ -1,162 +1,3 @@
-# ---> Python
+.venv/
-# 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:
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-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
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-# 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
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-#   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/
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-
-# Spyder project settings
-.spyderproject
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-# 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/
-

.idea/modules.xml

@@ -2,7 +2,7 @@
 <project version="4">
   <component name="ProjectModuleManager">
     <modules>
-      <module fileurl="file://$PROJECT_DIR$/.idea/MyPractice.iml" filepath="$PROJECT_DIR$/.idea/MyPractice.iml" />
+      <module fileurl="file://$PROJECT_DIR$/.idea/PythonProject1.iml" filepath="$PROJECT_DIR$/.idea/PythonProject1.iml" />
     </modules>
   </component>
 </project>

.idea/vcs.xml

@@ -1,6 +1,6 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <project version="4">
   <component name="VcsDirectoryMappings">
-    <mapping directory="" vcs="Git" />
+    <mapping directory="$PROJECT_DIR$" vcs="Git" />
   </component>
 </project>

README.md

@@ -1,2 +0,0 @@
-# MyPractice
-

api_read_only.py

@@ -0,0 +1,27 @@
+import requests
+import os
+import urllib3
+from dotenv import load_dotenv
+
+# 1. Отключаем предупреждения и загружаем переменные
+urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
+load_dotenv()
+
+# 2. Берем токен из переменной окружения
+TOKEN = os.getenv("GITEA_TOKEN")
+
+# 3. Проверка: если токен не подгрузился, программа выдаст понятную ошибку
+if not TOKEN:
+    raise ValueError("Ошибка: Токен не найден! Проверь файл .env")
+
+headers = {"Authorization": f"token {TOKEN}"}
+url = "https://git.vyatsu.ru/api/v1/user"
+
+# 4. Выполняем запрос
+response = requests.get(url, headers=headers, verify=False)
+
+if response.status_code == 200:
+    print("Успех! Данные подгружены безопасно.")
+    print(response.json())
+else:
+    print(f"Ошибка: {response.status_code}")

api_write_access.py

@@ -0,0 +1,33 @@
+import os
+import requests
+from dotenv import load_dotenv
+load_dotenv()
+
+TOKEN = os.getenv("GITEA_TOKEN")
+if not TOKEN:
+    raise Exception("Переменной окружения нет")
+
+headers = {
+    "Authorization": f"token {TOKEN}",
+    "Content-Type": "application/json"
+}
+
+owner = "stud203804"
+repo = "MyPractice"
+
+url = f"https://git.vyatsu.ru/api/v1/repos/{owner}/{repo}/issues"
+
+data = {
+    "title": "тестовая задача по практике",
+    "body" : "Создано через API Gitea с токеном на запись",
+    "labels": []
+}
+
+response = requests.post(url, headers=headers, json=data)
+
+if response.status_code == 201:
+    print("Issue создан:")
+    print(response.json()["html_url"])
+else:
+    print("error:", response.status_code)
+    print(response.text)

http_requests.py

@@ -0,0 +1,4 @@
+import requests
+
+response = requests.get("http://vyatsu.ru")
+print(response.text[:500])

http_tcp.py

@@ -0,0 +1,15 @@
+import socket
+
+client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+client.connect(('vyatsu.ru', 80))
+request = (
+    "GET / HTTP/1.1\r\n"
+    "Host: vyatsu.ru\r\n"
+    "User-Agent: python-requests/2.33.1\r\n"
+    "Accept: */*\r\n"                         
+    "\r\n"
+)
+client.sendall(request.encode())
+response = client.recv(4096)
+print(response.decode())
+client.close()

main.py

@@ -1,108 +1,11 @@
-import csv
+import math
-from collections import defaultdict
+def lcm(a: int, b: int) -> int:
-
+    if a == 0 or b == 0:
-
+        return 0
-def load_data(filepath: str) -> list[dict]:
+    return abs(a * b) // math.gcd(a, b)
-    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() -> None:
-    data = load_data("data/sales.csv")
-    data = clean_data(data)
-    filtered = filter_by_price_range(data, 10, 500)
-    rev = total_revenue(filtered)
-    category_revenue(filtered)
-    best_cat = best_selling_category(filtered)
-    top3 = top_n_items(filtered, 3)
-    monthly = monthly_sales(filtered)
-    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}")
-    export_summary(filtered, "report.txt")
-    print(f"\nОтчет успешно сохранен в report.txt")
 if __name__ == "__main__":
-    main()
+    num1 = 4
+    num2 = 6
+    result = lcm(num1, num2)
+    print(f"Наибольшее общее кратное двух чисел {num1} и {num2} равно {result}")
+

report.txt

@@ -0,0 +1,4 @@
+"C:\Program Files\Python314\python.exe" C:\Users\USER\PycharmProjects\PythonProject1\main.py
+Наибольшее общее кратное двух чисел 4 и 6 равно 12
+
+Process finished with exit code 0

tcp_client.py

@@ -0,0 +1,8 @@
+import socket
+
+client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+client.connect(('127.0.0.1', 10000))
+client.sendall(b'EXIT') 
+data = client.recv(1024)
+print(f"Ответ от сервера: {data.decode()}")
+client.close()

tcp_server.py

@@ -0,0 +1,31 @@
+import socket
+
+server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+
+server.bind(("0.0.0.0", 10000))
+
+server.listen(1)
+print("TCP сервер запущен")
+
+while True:
+    
+    conn, addr = server.accept()
+    print(f"Подключение от {addr}")
+
+
+    data = conn.recv(1024)
+    
+    if not data:
+        conn.close()
+        break
+
+    conn.sendall(data.upper())
+
+    conn.close()
+
+    if data.upper() == b'EXIT':
+        print("Завершение работы сервера...")
+        break
+
+
+server.close()

udp_client.py

@@ -0,0 +1,10 @@
+import socket
+
+client = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
+message = b'hello server'
+client.sendto(message, ('127.0.0.1', 15000))
+
+data, server_addr = client.recvfrom(1024)
+print(f"Ответ от сервера: {data.decode()}")
+
+client.close()

udp_server.py

@@ -0,0 +1,15 @@
+import socket
+
+server = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
+server.bind(('0.0.0.0', 15000))
+print("UDP сервер запущен на порту 15000")
+
+while True:
+    data, addr = server.recvfrom(1024)
+    message = data.decode()
+    print(f"Получено от {addr}: {message}")
+    
+    modified_message = f"ECHO: {message.upper()} (len: {len(message)})"
+    
+
+    server.sendto(modified_message.encode(), addr)