Refactor docker_base to use inversion-of-control, and GCP to use that

[lathanh]

Pull Request Description

Use inversion of control in docker_base.prep_batches() so that it can more strongly and easily ensure consistency between various implementations. Also refactor the GCP implementation to use that (the updated docker_base.prep_batches()).

Checklist

Not all may apply

• Code changes (must work)
• Tests exercising your feature/bug fix (check coverage report on Checks -> BuildStockBatch Tests -> Artifacts)
• Coverage has increased or at least not decreased. Update minimum_coverage in .github/workflows/coverage.yml as necessary.
• All other unit and integration tests passing
• Update validation for project config yaml file changes
• Update existing documentation
• Run a small batch run on Eagle to make sure it all works if you made changes that will affect Eagle
• Add to the changelog_dev.rst file and propose migration text in the pull request

[github-actions]

File	Coverage
All files	86%	✅
base.py	90%	✅
eagle.py	77%	✅
exc.py	57%	✅
local.py	70%	✅
postprocessing.py	84%	✅
utils.py	91%	✅
cloud/docker_base.py	87%	✅
sampler/base.py	79%	✅
sampler/downselect.py	33%	✅
sampler/precomputed.py	93%	✅
sampler/residential_quota.py	61%	✅
test/test_docker.py	33%	✅
test/test_validation.py	97%	✅
workflow_generator/base.py	90%	✅
workflow_generator/commercial.py	53%	✅
workflow_generator/residential_hpxml.py	86%	✅

Minimum allowed coverage is 33%

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