didactic-pydantic
didactic-pydantic converts models between pydantic.BaseModel and
didactic.api.Model. It adds the didactic.pydantic module and supports
applications that need both model systems during a migration.
Install
pip install didactic-pydantic
The distribution depends on didactic and pydantic>=2.10.
Convert a Pydantic model
from_pydantic creates a Didactic model class:
from pydantic import BaseModel, Field
from didactic.pydantic import from_pydantic
class PydanticUser(BaseModel):
id: str
email: str = Field(description="Primary contact")
User = from_pydantic(PydanticUser)
user = User(id="u1", email="alice@example.com")
The conversion preserves annotations, defaults, factories, aliases,
descriptions, examples, deprecation flags, and Annotated constraint
metadata. Constraints from annotated-types, such as Ge and Le, become
Didactic axioms.
Convert a Didactic model
to_pydantic creates a Pydantic model class:
import didactic.api as dx
from didactic.pydantic import to_pydantic
class User(dx.Model):
id: str
email: str = dx.field(description="Primary contact")
PydanticUser = to_pydantic(User)
user = PydanticUser(id="u1", email="alice@example.com")
The adapter caches generated classes. Repeated calls with the same input class return the same output class.
Translation boundary
Pydantic field validators, model validators, computed fields, and discriminated
unions require corresponding Didactic definitions after conversion. They are
not copied by from_pydantic.
Didactic models with dx.indexed_by fields retain their cross-field checks in
the generated Pydantic class. Their JSON Schema also retains the conditional
cases associated with known indices.
Documentation
See the Pydantic interop guide for the conversion matrix and round-trip behavior.
License
Released under the MIT License.
1 maintainer
Metadata
1 maintainer
Release files for didactic-pydantic 0.17.4
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| didactic_pydantic-0.17.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.9 kB
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