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Extendable Pydantic

This addons provides a new type used to declare Pydantic model as Extendable class.

From release 1.0.0 it only supports Pydantic >= 2.0.0.

from pydantic import BaseModel
from extendable_pydantic import ExtendableModelMeta
from extendable import context, registry

class Location(BaseModel, metaclass=ExtendableModelMeta):
    lat = 0.1
    lng = 10.1

class ExtendedLocation(Location, extends=Location):
    name: str

_registry = registry.ExtendableClassesRegistry()
context.extendable_registry.set(_registry)
_registry.init_registry()

loc = Location(**{"lat": 12.3, "lng": 13.2, "name": "My Loc"})

loc.model_dump() == {"lat": 12.3, "lng": 13.2, "name": "My Loc"}
#> True

loc.model_json_schema()
#> {'title': 'Location', 'type': 'object', 'properties': {'lat': {'title': 'Lat', 'default': 0.1, 'type': 'number'}, 'lng': {'title': 'Lng', 'default': 10.1, 'type': 'number'}, 'name': {'title': 'Name', 'type': 'string'}}, 'required': ['name']}

Usage with FastAPI

Extendable models can be used as request and response models or as dependencies of FastAPI routes. Any reference to an extendable model is resolved to the final class of the current registry when pydantic builds the schema. Therefore, the routes must be added to the application (app.include_router(...)) once the registry is initialized.

Requires FastAPI >= 0.138.

Development

pip install -e .

Release

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  • Each change worth mentioning into the changelog comes with a news fragment into the news directory: news/<issue number>.<type>, or news/+<name>.<type> for a change without issue, where <type> is one of feature, bugfix, doc, removal or misc.
  • To release a new version, run the release workflow from the GitHub "Actions" tab and choose the part of the version to increase (patch, minor or major). Once the run is approved (required reviewers of the release-approval environment), the workflow updates HISTORY.rst, tags the release, publishes the package to PyPI and creates the GitHub release.

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