Automating the Execution of Tests
Continuous Integration/Continuous Deployment tools are available. They help to run tests, compile, publish and also deploy into production.
https://travis-ci.com/ is one among them which works well with Python and it is an open source project. Login into the site and create.travis.yml with the below contents:
language: python
python:
<Include the versions as 2.7 or 3.7 whichever required>install:
– pip install -r <your requirements file>
script:
– python -m unittest discover
Above file instructs “Travis CI” to look into this file and for given Python versions, the test cases are getting tested by installing the necessary packages as given in the requirements file and finally run below command to run the test.
python -m unittest discover
Results are on the website against your credential.
Getting Started With Unit Testing in Python
In Python, unit tests are the segments of codes that are written to test other modules and files that we refer to as a unit. Python Unit Testing is a very important part of the software development process that helps us to ensure that the code works properly without any errors. In this article, we will learn about Python Testing with the help of examples and proper explanations.
Table of Content
- What is Python Unit Testing?
- The Assert Statement
- Implementing Unit Tests | Unittest
- Implementing Unit Tests | Pytest
- Implementing Unit Tests | Nose
- Implementing Unit Tests | Doctest
- How to Write Assertions in Python Testing
- More Advanced Testing Scenarios
- Automating the Execution of Tests