Fix Python 3.10 PyYAML Installation Issues

[fa9r]

Background

• PyYAML 5 no longer works with the new Cython 3, resulting in broken ZenML installations under Python 3.10 "AttributeError: cython_sources" with Cython 3.0.0a10 yaml/pyyaml#601
• PyYAML is apparently not going to release a fix for this: Backport #702 for 5.4: Pin Cython build constraint to < 3.0 yaml/pyyaml#726

Describe changes

• Bumped pyyaml to >=6.0.1
• Bumped evidently version to [0.2.7-0.2.8] which are the only versions that support both the old Evidently API which our integration code is using as well as PyYAML 6.
• Pinned kfp to 1.8.22 which is the only 1.x version that supports PyYAML 6.
• Pinned kfk-tekton to 1.7.1 which is the only version compatible with kfp==1.8.22
• Removed docker-compose as dev dependency since all available versions require PyYAML 5. As a workaround, I adjusted the corresponding CI action to lazy-install the package instead.
• Removed Python 3.7 CI checks since the new Tekton version is no longer compatible with Python 3.7 -> let's also merge Remove Python 3.7 Support #1652 before the next release

Pre-requisites

Please ensure you have done the following:

• I have read the CONTRIBUTING.md document.
• If my change requires a change to docs, I have updated the documentation accordingly.
• If I have added an integration, I have updated the integrations table and the corresponding website section.
• I have added tests to cover my changes.

Types of changes

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to change)
• Other (add details above)

[stefannica]

Removing this will break the CI

[fa9r]

I adjusted the integration test GH action to lazily install docker-compose in non-default environments now. I think that should work since the CI only runs non-default environment tests under Python 3.8 where PyYAML 5 shouldn't be broken in the first place.

[stefannica]

Amazing work figuring out all those PyYAML version dependencies !