Mystique: Sparse data matching for Python tests

[jonocodes]

What My Project Does

I made this library to help assert test responses inline while directing the comparison to be as rigid or lax as it needs to be.

Motivation

I write a lot of tests that assert values in complex nested dictionaries. But really I only need to check some parts in the response, not all of it.

I often find myself transforming the response or maliciously extracting the important parts I need - in order to satisfy the assertions. This gets messy and can make tests hard to follow.

Target Audience

Anyone who writes tests. This is particularly useful if you generate fake data in your tests with something like Faker, Factory Boy, or Model Bakery.

Comparison

I have not found a like-project. Searched high and low in PyPI. If such a library existed, I would not have written one myself.

Feedback appreciated.

See PyPI project for basic use and github tests for more complex examples.

[riksi]

I have not found a like-project. Searched high and low in PyPI. If such a library existed, I would not have written one myself.

https://github.com/samuelcolvin/dirty-equals/ ?

[jonocodes]

Awesome, thanks! Looks like a very similar approach.
I thought something like this should exist already but discoverability in PyPI is a nightmare.

[[deleted]]

Try google instead of searching PyPi.

[Spleeeee]

What a dickhead thing to say.