Remove pydantic dependency from MLI code #667
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## mli-feature #667 +/- ##
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Coverage ? 81.46%
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Files ? 97
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Hits ? 6244
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mellis13
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Aug 16, 2024
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| from smartsim.log import get_logger | ||
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| logger = get_logger(__name__) | ||
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| class FeatureStoreKey(BaseModel): | ||
| @dataclass(frozen=True) |
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Do we want frozen=True? I'm not familiar with the BaseModel -- is that frozen by default?
If frozen is not used, then I would assume that we need to add setter methods to check that any updates adhere to non-empty string
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BaseModels are not frozen by default, but I think we definitely want a frozen dataclass because we don't want FeatureStoreKey instances to be updated.
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We only used pydantic BaseModels in
FeatureStoreKey, so I converted that into a dataclass and used_post_init_to validate that the key and descriptor are not empty strings. I also made the dataclass frozen.