What's your way of managing fake data when testing Python
In python test we always need to create some fake data or mock subjects with unittest.mock. As the codebase grows bigger we might have thousands of those fake data so it becomes hard to manage. More specifically:
- Hard to locate when you need to reuse
- Hard to update when the original data structure changes
What's your way of maintaining them in tests?