Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

Simple engine for your test. No code, no noodles

Project description

Table test

This package wrote to use table tests in python. The best practice and very useful practice is test with simple-style structure. You don't write any code: for-loop, conditions, exceptions and other difficult constructions in tests. You describe your test as some cases:

  • Name
  • Description
  • Object (class or function)
  • Target value or exception
  • After and before middleware

Such kind of tests intend of standartization and getting rid of verbosity. You can find some examples into tests. More sophisticated examples you can find here

Installation

git clone https://github.com/Hedgehogues/table-tests
pip install -r requirements

Our recommendations

If you want to use our util, we recommend to use for single class for testing each function or method. You must inherit from the base class and build your own class:

from utils import BaseTestClass, SubTest
from example.c import MyClass


class MyTest(BaseTestClass):

    def setUp(self):
        self.tests = [
            SubTest(
                name="Test 1",
                description="This is accepted test for MyClass.plus method",
                object=MyClass(5),
                args={'b': 1},
                want=6,
            ),
        ]

    def test(self):
        for test in self.tests:
            self.apply_test(test, lambda obj, kwargs: obj.plus(**kwargs))
  • BaseTestClass - this is simple engine for process your tests.
  • SubTest - this is instance of your test

You're welcome! Enjoy it (=.

Project details


Release history Release notifications

Download files

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

Files for table-test, version 0.4.1
Filename, size File type Python version Upload date Hashes
Filename, size table_test-0.4.1-py3-none-any.whl (4.7 kB) File type Wheel Python version py3 Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page