Задание 1: юнит-тесты Stellar Burgers

README.md

@@ -1,24 +1,46 @@
-## Задание 1: Юнит-тесты
+## Задание 1: Юнит-тесты Stellar Burgers (100% покрытие)
 
-### Автотесты для проверки программы, которая помогает заказать бургер в Stellar Burgers
+### Описание
 
-### Реализованные сценарии
+Юнит-тесты для класса `Burger` — программы сборки бургера в Stellar Burgers
+Тестируем логику изолированно: моки для `Bun` и `Ingredient`, параметризация для разных сценариев
 
-Созданы юнит-тесты, покрывающие классы `Bun`, `Burger`, `Ingredient`, `Database`
+### Что тестируем
 
-Процент покрытия 100% (отчет: `htmlcov/index.html`)
+`__init__` - пустой бургер: `bun is None`, нет ингредиентов 
+`set_buns` - булочка сохраняется в объект 
+`add_ingredient` - ингредиенты добавляются в конец списка 
+`remove_ingredient` - удаление по индексу 
+`move_ingredient` - перемещение слоя, проверка порядка 
+`get_price` - 2 × булочка + сумма ингредиентов 
+`get_receipt` - формат чека и итоговая цена 
 
-### Структура проекта
 
-- `praktikum` - пакет, содержащий код программы
-- `tests` - пакет, содержащий тесты, разделенные по классам. Например, `bun_test.py`, `burger_test.py` и т.д.
 
-### Запуск автотестов
+### Установка и запуск
 
-**Установка зависимостей**
+Как проверить покрытие 100%
 
-> `$ pip install -r requirements.txt`
+1. Установить зависимости (из корня проекта Diplom_1):
 
-**Запуск автотестов и создание HTML-отчета о покрытии**
+   pip install -r requirements.txt
 
->  `$ pytest --cov=praktikum --cov-report=html`
+2. Запустить тесты с отчётом о покрытии:
+
+   pytest --cov=praktikum.burger --cov-report=term-missing --cov-report=html tests/burger_test.py
+
+
+4. Открыть HTML-отчёт:
+   - после команды выше создаётся папка htmlcov/
+   - открыть файл htmlcov/index.html в браузере
+   - файл praktikum/burger.py должен быть полностью зелёным (100%)
+
+5. Запуск с Allure:
+
+   pytest tests/burger_test.py --alluredir=allure_results
+
+
+### Технологии
+
+- pytest, pytest-cov, allure-pytest
+- unittest.mock (Mock)

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allure_results/42a4a7b0-7b23-4256-aa60-772f447ffff8-container.json

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allure_results/4404caae-5730-4dc5-b11a-5b769f158396-container.json

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allure_results/44911db8-780c-4381-94ce-3a9de31fa6c4-container.json

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allure_results/44a3bdc4-36bc-4691-8534-8f5dcadb5931-container.json

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allure_results/46a35d4e-e149-4aca-abb5-74eb0ba695ec-result.json

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