pydantic-views 0.3.0rc0

Views for Pydantic models

Typed views for Pydantic models

pydantic-views lets you derive focused, type-safe Pydantic models (“views”) from a base model. Each view exposes only the fields appropriate for a given operation—create, update, load, or a custom flow—so you avoid hand-maintaining parallel schemas.

Typical service signatures become easy to express:

ExampleModelCreate = BuilderCreate().build_view(ExampleModel)
ExampleModelCreateResult = BuilderCreateResult().build_view(ExampleModel)
ExampleModelLoad = BuilderLoad().build_view(ExampleModel)
ExampleModelUpdate = BuilderUpdate().build_view(ExampleModel)

def create(input: ExampleModelCreate) -> ExampleModelCreateResult: ...
def load(model_id: str) -> ExampleModelLoad: ...
def update(model_id: str, input: ExampleModelUpdate) -> ExampleModelLoad: ...

Features

• Unlimited views per model (create, update, load, custom).

• Works on nested models; referenced models get views too.

• Builders for common patterns, or define views manually.

• Fully typed with shipped py.typed and tests.

• Open source and published on PyPI.

Installation

Using pip:

pip install pydantic-views

Using poetry:

poetry add pydantic-views

Using uv:

uv add pydantic-views

Quickstart

Mark each field with its access mode using the provided annotations. Unmarked fields default to read/write.

from typing import Annotated

from pydantic import BaseModel, computed_field, gt
from pydantic_views import AccessMode, Hidden, ReadOnly, ReadOnlyOnCreation

class ExampleModel(BaseModel):
    # Unmarked fields are read/write everywhere.
    field_str: str

    # Read-only fields are removed from create and update views.
    field_read_only_str: ReadOnly[str]

    # Read-only-on-creation fields are hidden on create, update and load views,
    # but appear on create-result views.
    field_api_secret: ReadOnlyOnCreation[str]

    # Combine access modes with Annotated and keep validators (gt in this case).
    field_int: Annotated[int, AccessMode.READ_ONLY, AccessMode.WRITE_ONLY_ON_CREATION, gt(5)]

    # Hidden fields never appear.
    field_hidden_int: Hidden[int]

    # Computed fields appear only on read views.
    @computed_field
    def field_computed_field(self) -> int:
        return self.field_hidden_int * 5

Build a load view:

from pydantic_views import BuilderLoad

ExampleModelLoad = BuilderLoad().build_view(ExampleModel)

Which is equivalent to:

from pydantic import gt
from pydantic_views import View

class ExampleModelLoad(View[ExampleModel]):
    field_str: str
    field_int: Annotated[int, gt(5)]
    field_computed_field: int

To build an update view:

from pydantic_views import BuilderUpdate

ExampleModelUpdate = BuilderUpdate().build_view(ExampleModel)

Which is equivalent to:

from pydantic import Field, PydanticUndefined
from pydantic_views import View

class ExampleModelUpdate(View[ExampleModel]):
    field_str: str = Field(default_factory=lambda: PydanticUndefined)

On Update views every field uses a default factory that returns PydanticUndefined, so fields become optional. Applying the view to a model only updates values that were set.

original_model = ExampleModel(
    field_str="anything"
    field_read_only_str="anything"
    field_api_secret="anything"
    field_int=10
    field_hidden_int=33
)

update = ExampleModelUpdate(field_str="new_data")

updated_model = update.view_apply_to(original_model)

assert isinstance(updated_model, ExampleModel)
assert updated_model.field_str == "new_data"

If a field is not set on the update view, the original value is kept.

original_model = ExampleModel(
    field_str="anything"
    field_read_only_str="anything"
    field_api_secret="anything"
    field_int=10
    field_hidden_int=33
)

update = ExampleModelUpdate()

updated_model = update.view_apply_to(original_model)

assert isinstance(updated_model, ExampleModel)
assert updated_model.field_str == "anything"