Skip to main content

Doing dirty (but extremely useful) things with equals.

Project description

dirty-equals

Doing dirty (but extremely useful) things with equals.

CI Coverage pypi versions license


Documentation: dirty-equals.helpmanual.io

Source Code: github.com/samuelcolvin/dirty-equals


dirty-equals is a python library that (mis)uses the __eq__ method to make python code (generally unit tests) more declarative and therefore easier to read and write.

dirty-equals can be used in whatever context you like, but it comes into its own when writing unit tests for applications where you're commonly checking the response to API calls and the contents of a database.

Usage

Here's a trivial example of what dirty-equals can do:

from dirty_equals import IsPositive

assert 1 == IsPositive
assert -2 == IsPositive  # this will fail!

That doesn't look very useful yet!, but consider the following unit test code using dirty-equals:

from dirty_equals import IsJson, IsNow, IsPositiveInt, IsStr

...

# user_data is a dict returned from a database or API which we want to test
assert user_data == {
    # we want to check that id is a positive int
    'id': IsPositiveInt,
    # we know avatar_file should be a string, but we need a regex as we don't know whole value
    'avatar_file': IsStr(regex=r'/[a-z0-9\-]{10}/example\.png'),
    # settings_json is JSON, but it's more robust to compare the value it encodes, not strings
    'settings_json': IsJson({'theme': 'dark', 'language': 'en'}),
    # created_ts is datetime, we don't know the exact value, but we know it should be close to now
    'created_ts': IsNow(delta=3),
}

Without dirty-equals, you'd have to compare individual fields and/or modify some fields before comparison - the test would not be declarative or as clear.

dirty-equals can do so much more than that, for example:

  • IsPartialDict lets you compare a subset of a dictionary
  • IsStrictDict lets you confirm order in a dictionary
  • IsList and IsTuple lets you compare partial lists and tuples, with or without order constraints
  • nesting any of these types inside any others
  • IsInstance lets you simply confirm the type of an object
  • You can even use boolean operators | and & to combine multiple conditions
  • and much more...

Installation

Simply:

pip install dirty-equals

dirty-equals requires Python 3.7+.

Download files

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

Source Distribution

dirty-equals-0.4.tar.gz (20.3 kB view hashes)

Uploaded source

Built Distribution

dirty_equals-0.4-py3-none-any.whl (23.3 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page