keeping tests dry with class based tests in python ¶
Tests can be a bummer to write but even a bigger nightmare to maintain.
When we noticed we are putting off simple tasks just because we were afraid to update some monster test case, we started looking for more creative ways to simplify the process of writing and maintaining tests.
Before we start writing code let’s set some goals:
Extensive : We want our tests to cover as many scenarios as possible. We hope a solid platform for writing tests will make it easier for us to adapt to changes and cover more grounds.
Expressive : Good tests tell a story. Issues become irrelevant and documents get lost but tests must always pass, this is why we treat our tests as specifications . Writing good tests can help newcomers (and future self) to understand all the edge cases and micro-decisions made during development.
Maintainable : As requirements and implementations change we want to adapt quickly with as little effort as possible.