But at $WORKPLACE we often use pytest-xprocess to start the required app in the same container where the tests run. It's probably the easiest way mostly because a custom wrapper does all the heavy lifting (starts the app, checks that it is running and responding to requests before the tests start, correctly terminates it when tests end).
Really, you use testcontainers so that you can manage everything for your test with a single build command, instead of running something extra, then running your tests, then shutting down your docker containers. Plus, with it integrated into your test suites, you can run code against your docker containers on setup/teardown, before/after container start, before/after each test, etc.
In such cases, if I am using dependency injection and creating a (stub?) versions of that client which returns a hardcoded or configured output, would that be considered a mock? OR would this be OK and not "coupled"?
Most people will say something like for unit tests you should test your functions by passing the state as parameters to test. I'm going to call this "outside in" loose coupling.
Mocking is for the inverse. When you want to test a unit of code that is calling some other outside unit code. Its really not any different just "inside out".
So imo with DI you gain loose coupling through dependency inversion. But because of dependency inversion you need to mock instead of passing state as params.
So I think if you are injecting a mocked stub this is still loose coupling because you are testing against its interface.
You're still passing state through your test but its coming from inside instead of outside, hence the mock.
Another way I have thought about this is: framework (framework calls you) vs library (you call library).
Frameworks naturally lend themselves to a more mock way of testing. Library lends itself to a more traditional way of testing.
Testing something that accepts a callback is also essentially a mock.
I hope that thought made sense.
A good rule of thumb for a unit test is that you should be able to run it a few thousand times in a relatively brief period (think: minutes or less) and it shouldn't ever fail/flake.
If a unit test (suite) takes more than a single digit number of seconds to run, it isn't a unit test. Integration tests are good to have, but unit tests should be really cheap and fundamentally a tool for iterative and interactive development. I should be able to run some of my unit tests on every save, and have them keep pace with my linter.
Making stuff quicker is a good reason to mock stuff. So is not hitting real network services. But, in all cases, the best thing is to avoid mocking if possible.
And if you want to catch potential changes in Cosmos that modify the behavior of your own service, that isn't the purpose of unit tests.
Integration tests are fine, but they test something else - that your component integrates as intended with <something>, while a unit test moreso tests that your unit behaves in accordance with its specification.