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didactic-pydantic

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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.

Metadata

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