Skip to main content

A general purpose mock library for Python

Project description

Python Fake

🌟 Overview

This project provides a Fake class that can be used to replace any object in a test, in development environment or in any other situation where you need to replace an object with a fake one.

The tries to provide a mock implementation for any usage, including properties, items, length, iterator, return value, await value, etc so that it never fails in runtime due to a missing implementation.

On the other hand, sometimes other pieces of code expect a certain implementation and the default implementation of the Fake class is not enough. In this case, you can use the __Fake_... parameters in the constructor to provide a more specific implementation.

At the moment, it doesn't provide tools for monitoring how the object was used, but it is planned to be implemented in the future.

🔎 Sample Usage

Fakeing the picamera2 module of Raspberry Pi so that one can run the code on a non-Raspberry Pi development environment:

from fake import Fake

sys.modules['picamera2'] = Fake(
    _Fake__props={
        'Picamera2': Fake(
            _Fake__return_value=Fake(
                _Fake__props={
                    'capture_array': Fake(
                        _Fake__return_value=np.zeros((1, 1, 3), dtype=np.uint8),
                    ),
                },
            ),
        ),
    },
)

⚙️ Parameters

A Fake object can be created with the following parameters:

  • _Fake__props: A dictionary that contains the properties of the object and their respective values.
  • _Fake__items: A dictionary that contains the items of the object and their respective values.
  • _Fake__list: A list that contains the items of the object. (in case the index is a number and not listed in the __items dictionary). It also sets the length of the object if _Fake__length is not set.
  • _Fake__return_value: The return value of the object when it is called.
  • _Fake__await_value: The return value of the object when it is awaited.
  • _Fake__length: The length of the object when it is queried via the len function.
  • _Fake__iter: The iterator of the object when it is queried via the iter function.

📦 Installation

Pip

pip install python-fake

Poetry

poetry add python-fake

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

python_fake-0.1.4.dev2250331103100525250.tar.gz (4.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file python_fake-0.1.4.dev2250331103100525250.tar.gz.

File metadata

File hashes

Hashes for python_fake-0.1.4.dev2250331103100525250.tar.gz
Algorithm Hash digest
SHA256 2001e09db60928043d7a3ba9b3062d4800a3552ee0b58dcdf1ce2cf1bb050149
MD5 6c0be5121f489c7c5ea292eedd808eb6
BLAKE2b-256 cee973a4c24a08617aa53f75f239fb4aaa2f7b9df2f5942287d984538c9d07ac

See more details on using hashes here.

Provenance

The following attestation bundles were made for python_fake-0.1.4.dev2250331103100525250.tar.gz:

Publisher: integration_delivery.yml on sassanh/python-fake

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file python_fake-0.1.4.dev2250331103100525250-py3-none-any.whl.

File metadata

File hashes

Hashes for python_fake-0.1.4.dev2250331103100525250-py3-none-any.whl
Algorithm Hash digest
SHA256 8d1c096fbcc2c051c4ca0e21f877eadd207c0b1b8d6e7fe3732add20b6c04b32
MD5 b622a08871e0175cc9c22b821d6b8027
BLAKE2b-256 49b07e3e379addc1fb2b50636369e0efdf8cb7ab095183fe150864f5fb4306e5

See more details on using hashes here.

Provenance

The following attestation bundles were made for python_fake-0.1.4.dev2250331103100525250-py3-none-any.whl:

Publisher: integration_delivery.yml on sassanh/python-fake

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page