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9 changes: 9 additions & 0 deletions .coveragerc
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[run]
branch = True
source = praktikum
omit =
praktikum/praktikum.py
tests/*

[report]
show_missing = True
210 changes: 210 additions & 0 deletions .gitignore
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[codz]
*$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
.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

# UV
# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
#uv.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
#poetry.toml

# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
# pdm recommends including project-wide configuration in pdm.toml, but excluding .pdm-python.
# https://pdm-project.org/en/latest/usage/project/#working-with-version-control
#pdm.lock
#pdm.toml
.pdm-python
.pdm-build/

# pixi
# Similar to Pipfile.lock, it is generally recommended to include pixi.lock in version control.
#pixi.lock
# Pixi creates a virtual environment in the .pixi directory, just like venv module creates one
# in the .venv directory. It is recommended not to include this directory in version control.
.pixi

# 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
.envrc
.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/

# Abstra
# Abstra is an AI-powered process automation framework.
# Ignore directories containing user credentials, local state, and settings.
# Learn more at https://abstra.io/docs
.abstra/

# Visual Studio Code
# Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore
# that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
# and can be added to the global gitignore or merged into this file. However, if you prefer,
# you could uncomment the following to ignore the entire vscode folder
# .vscode/

# Ruff stuff:
.ruff_cache/

# PyPI configuration file
.pypirc

# Cursor
# Cursor is an AI-powered code editor. `.cursorignore` specifies files/directories to
# exclude from AI features like autocomplete and code analysis. Recommended for sensitive data
# refer to https://docs.cursor.com/context/ignore-files
.cursorignore
.cursorindexingignore

# Marimo
marimo/_static/
marimo/_lsp/
__marimo__/

# Allure
allure_results/
allure-results/
26 changes: 10 additions & 16 deletions README.md
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## Задание 1: Юнит-тесты
Diplom Задание 1

### Автотесты для проверки программы, которая помогает заказать бургер в Stellar Burgers
praktikum - пакет, содержащий код программы

### Реализованные сценарии

Созданы юнит-тесты, покрывающие классы `Bun`, `Burger`, `Ingredient`, `Database`
tests:

Процент покрытия 100% (отчет: `htmlcov/index.html`)
test_bun.py - тест класса "Bun"
test_burger.py - тест класса "Burger"
test_database.py - тест класса "Database"
test_ingredient.py - тест класса "Ingredient"

### Структура проекта

- `praktikum` - пакет, содержащий код программы
- `tests` - пакет, содержащий тесты, разделенные по классам. Например, `bun_test.py`, `burger_test.py` и т.д.
Вспомогательные файлы:

### Запуск автотестов
conftest.py - хранит фикстуры

**Установка зависимостей**

> `$ pip install -r requirements.txt`

**Запуск автотестов и создание HTML-отчета о покрытии**

> `$ pytest --cov=praktikum --cov-report=html`
requirements.txt - хранит библиотеки тестового стенда
40 changes: 40 additions & 0 deletions conftest.py
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import pytest
from unittest.mock import Mock
from praktikum.burger import Burger
from praktikum.bun import Bun
from praktikum.ingredient import Ingredient


@pytest.fixture
def burger():

return Burger()


@pytest.fixture
def mock_bun():

bun = Mock(spec=Bun)
bun.get_name.return_value = "Флюоресцентная булка R2-D3"
bun.get_price.return_value = 988.0
return bun


@pytest.fixture
def mock_ingredient_sauce():

ingredient = Mock(spec=Ingredient)
ingredient.get_type.return_value = "SAUCE"
ingredient.get_name.return_value = "Соус фирменный Space Sauce"
ingredient.get_price.return_value = 80.0
return ingredient


@pytest.fixture
def mock_ingredient_filling():

ingredient = Mock(spec=Ingredient)
ingredient.get_type.return_value = "FILLING"
ingredient.get_name.return_value = "Мясо бессмертных моллюсков Protostomia"
ingredient.get_price.return_value = 1337.0
return ingredient
2 changes: 2 additions & 0 deletions htmlcov/.gitignore

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