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chainmock-0.8.2
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Mocking library for Python and Pytest
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | chainmock-0.8.2 |
| نام | chainmock |
| نسخه کتابخانه | 0.8.2 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Olli Paakkunainen |
| ایمیل نویسنده | olli@paakkunainen.fi |
| آدرس صفحه اصلی | https://github.com/ollipa/chainmock |
| آدرس اینترنتی | https://pypi.org/project/chainmock/ |
| مجوز | MIT |
<h1 align="center">Chainmock</h1>
<p align="center">
<a href="https://pypi.org/project/chainmock/">
<img src="https://img.shields.io/pypi/v/chainmock" alt="pypi">
</a>
<a href="https://github.com/ollipa/chainmock/actions/workflows/ci.yml">
<img src="https://github.com/ollipa/chainmock/actions/workflows/ci.yml/badge.svg" alt="ci">
</a>
<a href="https://chainmock.readthedocs.io/">
<img src="https://img.shields.io/readthedocs/chainmock" alt="documentation">
</a>
<a href="./LICENSE">
<img src="https://img.shields.io/pypi/l/chainmock" alt="license">
</a>
</p>
<hr>
Mocking library for Python and Pytest.
Chainmock is a wrapper for Python unittest unit testing library. It provides an
alternative syntax to create mocks and assertions with some additional features
to make testing faster and more straightforward. The syntax works especially
well with pytest fixtures.
**Documentation**: https://chainmock.readthedocs.io/
## Installation
Install with pip:
```
pip install chainmock
```
## Features
Chainmock supports all the same features that Python standard library unittest
supports and adds some convenient extra functionality.
- **Mocking**: Create _mocks_ and assert call counts and arguments or replace
return values.
- **Spying**: _Spying_ proxies the calls to the original function or method.
With spying you can assert call counts and arguments without mocking.
- **Stubs**: Easily create _stub_ objects that can be used in tests as fake data
or to replace real objects.
- **Async support**: Chainmock supports mocking and spying _async_ functions and
methods. Most of the time it also recognizes automatically when async mocking
should be used so it is not any harder than mocking sync code.
- **Fully type annotated**: The whole codebase is fully type annotated so
Chainmock works well with static analysis tools and editor autocomplete.
- Works with **Python 3.8+ and PyPy3**.
## Examples
The entrypoint to Chainmock is the `mocker` function. Import the `mocker`
function as follows:
```python
from chainmock import mocker
```
### Mocking
To mock you just give the object that you want to mock to the `mocker` function.
After this you can start mocking individual attributes and methods as follows:
```python
# Assert that a certain method has been called exactly once
mocker(Teapot).mock("add_tea").called_once()
# Provide a return value and assert that method has been called twice
mocker(Teapot).mock("brew").return_value("mocked").called_twice()
# Assert that a method has been called with specific arguments at most twice
mocker(Teapot).mock("add_tea").all_calls_with("green").call_count_at_most(2)
```
### Spying
Spying is not any harder than mocking. You just need to call the `spy` method
instead of the `mock` method. After spying a callable, it works just like before
spying and you can start making assertions on it.
```python
# Assert that a certain method has been called at least once
mocker(Teapot).spy("add_tea").called()
# Check that a method has been called at most twice and has
# at least one call with the given argument
mocker(Teapot).spy("add_tea").any_call_with("green").call_count_at_most(2)
```
### Stubs
To create a stub object, just call `mocker` function without any arguments.
```python
# Create a stub with a method called "my_method"
stub = mocker().mock("my_method").return_value("it works!").self()
assert stub.my_method() == "it works!"
# You can give keyword arguments to the mocker function to quickly set properties
stub = mocker(my_property=10)
assert stub.my_property == 10
```
For more details and examples, see the documentation.
## Similar projects
If chainmock is not what you need, check out also these cool projects:
- [flexmock](https://github.com/flexmock/flexmock): Chainmock's API is heavily
inspired by flexmock. Flexmock doesn't use standard library unittest and it
has fully custom mocking implementation. Compared to flexmock, chainmock has
more familiar API if you have been using standard library unittest. Chainmock
also supports async mocking and partial argument matching.
- [pytest-mock](https://github.com/pytest-dev/pytest-mock/): Similar to
chainmock, pytest-mock is a wrapper for standard library unittest. However,
pytest-mock doesn't provide any extra functionality and it exposes unittest
mocks directly to the user.
## Contributing
Do you like this project and want to help? If you need ideas, check out the open issues and feel free to open a new pull request. Bug reports and feature requests are also very welcome.
نیازمندی
| مقدار | نام |
|---|---|
| >=6.0.0 | pytest |
| >=3.10.0 | typing-extensions |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.8,<4.0 | Python |
نحوه نصب
نصب پکیج whl chainmock-0.8.2:
pip install chainmock-0.8.2.whl
نصب پکیج tar.gz chainmock-0.8.2:
pip install chainmock-0.8.2.tar.gz