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feat: Make YAML serialization deterministic - #219
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pydantic-yaml serializes model fields via model_dump_json() but set iteration is order depends on hash randomization, which is randomized per interpreter process, so `to_yaml_str()` produced a different ordering of these fields on every run even when the underlying data was unchanged. Add a `_CanonicalMixin` used by new `CanonicalModel`/`CanonicalRootModel` base classes in schema.py. Each defines a single model_serializer(mode="wrap") that inspects a model's actual field values at dump time and sorts any that are a `set` into a list.
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This would resolve #202 right? |
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Yes. It was the broken PR I closed because it had some merge conflict that couldn't be easily resolved. |
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OK, I linked the issue now. |
kvdblom
approved these changes
Nov 2, 2026
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pydantic-yaml serializes model fields via model_dump_json() but set iteration is order depends on hash randomization, which is randomized per interpreter process, so
to_yaml_str()produced a different ordering of these fields on every run even when the underlying data was unchanged.Add a
_CanonicalMixinused by newCanonicalModel/CanonicalRootModelbase classes in schema.py. Each defines a single model_serializer(mode="wrap") that inspects a model's actual field values at dump time and sorts any that are asetinto a list.Fixes #202