chore(ml): added testing and github workflow

[mertalev]

Description

This PR adds pytest unit tests to the ML package. Given the expanding scope of ML, it's important to ensure a certain set of behaviors across changes. The tests included here aren't exhaustive and should be built upon in the future, but they're a good starting point.

Further, formatting, linting and testing are all automatically checked through GHA to ensure consistency across contributions.

#2951 is included in this PR and should be merged first.

Testing

To test locally, you can follow these steps:

1. cd machine-learning
2. poetry install --with dev
3. pytest --cov

To test in a container, you must copy or map the machine-learning folder, not just app. You can then SSH into the container and run pytest --cov.

Note that models are mocked in most tests to avoid downloading and loading them. The exceptions are the endpoint tests, which are skipped by default. Setting MACHINE_LEARNING_TEST_FULL will run these tests as well.

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1 Ignored Deployment

Name	Status	Preview	Comments	Updated (UTC)
immich	⬜️ Ignored (Inspect)			Jun 27, 2023 9:57pm

[mertalev]

Rebased