improve rx.Field ObjectVar typing for sqlalchemy and dataclasses (#4728)

* improve rx.Field ObjectVar typing for sqlalchemy and dataclasses

* enable parametrized objectvar tests for sqlamodel and dataclass

* improve typing for ObjectVars in ArrayVars

* ruffing

* drop duplicate objectvar import

* remove redundant overload

* allow optional hints in rx.Field annotations to resolve to the correct var type
This commit is contained in:
benedikt-bartscher 2025-02-03 18:33:22 +01:00 committed by GitHub
parent 15da4e17bd
commit 2b7e4d6b4e
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3 changed files with 111 additions and 15 deletions

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@ -40,6 +40,7 @@ from typing import (
overload,
)
from sqlalchemy.orm import DeclarativeBase
from typing_extensions import ParamSpec, TypeGuard, deprecated, get_type_hints, override
from reflex import constants
@ -573,7 +574,7 @@ class Var(Generic[VAR_TYPE]):
@overload
@classmethod
def create( # type: ignore[override]
def create( # pyright: ignore[reportOverlappingOverload]
cls,
value: bool,
_var_data: VarData | None = None,
@ -581,7 +582,7 @@ class Var(Generic[VAR_TYPE]):
@overload
@classmethod
def create( # type: ignore[override]
def create(
cls,
value: int,
_var_data: VarData | None = None,
@ -605,7 +606,7 @@ class Var(Generic[VAR_TYPE]):
@overload
@classmethod
def create(
def create( # pyright: ignore[reportOverlappingOverload]
cls,
value: None,
_var_data: VarData | None = None,
@ -3182,10 +3183,16 @@ def dispatch(
V = TypeVar("V")
BASE_TYPE = TypeVar("BASE_TYPE", bound=Base)
BASE_TYPE = TypeVar("BASE_TYPE", bound=Base | None)
SQLA_TYPE = TypeVar("SQLA_TYPE", bound=DeclarativeBase | None)
if TYPE_CHECKING:
from _typeshed import DataclassInstance
DATACLASS_TYPE = TypeVar("DATACLASS_TYPE", bound=DataclassInstance | None)
FIELD_TYPE = TypeVar("FIELD_TYPE")
MAPPING_TYPE = TypeVar("MAPPING_TYPE", bound=Mapping)
MAPPING_TYPE = TypeVar("MAPPING_TYPE", bound=Mapping | None)
class Field(Generic[FIELD_TYPE]):
@ -3230,6 +3237,18 @@ class Field(Generic[FIELD_TYPE]):
self: Field[BASE_TYPE], instance: None, owner: Any
) -> ObjectVar[BASE_TYPE]: ...
@overload
def __get__(
self: Field[SQLA_TYPE], instance: None, owner: Any
) -> ObjectVar[SQLA_TYPE]: ...
if TYPE_CHECKING:
@overload
def __get__(
self: Field[DATACLASS_TYPE], instance: None, owner: Any
) -> ObjectVar[DATACLASS_TYPE]: ...
@overload
def __get__(self, instance: None, owner: Any) -> Var[FIELD_TYPE]: ...

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@ -53,8 +53,11 @@ from .number import (
)
if TYPE_CHECKING:
from .base import BASE_TYPE, DATACLASS_TYPE, SQLA_TYPE
from .function import FunctionVar
from .object import ObjectVar
STRING_TYPE = TypeVar("STRING_TYPE", default=str)
@ -961,6 +964,24 @@ class ArrayVar(Var[ARRAY_VAR_TYPE], python_types=(list, tuple, set)):
i: int | NumberVar,
) -> ObjectVar[Dict[KEY_TYPE, VALUE_TYPE]]: ...
@overload
def __getitem__(
self: ARRAY_VAR_OF_LIST_ELEMENT[BASE_TYPE],
i: int | NumberVar,
) -> ObjectVar[BASE_TYPE]: ...
@overload
def __getitem__(
self: ARRAY_VAR_OF_LIST_ELEMENT[SQLA_TYPE],
i: int | NumberVar,
) -> ObjectVar[SQLA_TYPE]: ...
@overload
def __getitem__(
self: ARRAY_VAR_OF_LIST_ELEMENT[DATACLASS_TYPE],
i: int | NumberVar,
) -> ObjectVar[DATACLASS_TYPE]: ...
@overload
def __getitem__(self, i: int | NumberVar) -> Var: ...
@ -1648,10 +1669,6 @@ def repeat_array_operation(
)
if TYPE_CHECKING:
from .function import FunctionVar
@var_operation
def map_array_operation(
array: ArrayVar[ARRAY_VAR_TYPE],

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@ -1,10 +1,14 @@
import dataclasses
import pytest
from sqlalchemy.orm import DeclarativeBase, Mapped, MappedAsDataclass, mapped_column
from typing_extensions import assert_type
import reflex as rx
from reflex.utils.types import GenericType
from reflex.vars.base import Var
from reflex.vars.object import LiteralObjectVar, ObjectVar
from reflex.vars.sequence import ArrayVar
class Bare:
@ -32,14 +36,44 @@ class Base(rx.Base):
quantity: int = 0
class SqlaBase(DeclarativeBase, MappedAsDataclass):
"""Sqlalchemy declarative mapping base class."""
pass
class SqlaModel(SqlaBase):
"""A sqlalchemy model with a single attribute."""
__tablename__: str = "sqla_model"
id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True, init=False)
quantity: Mapped[int] = mapped_column(default=0)
@dataclasses.dataclass
class Dataclass:
"""A dataclass with a single attribute."""
quantity: int = 0
class ObjectState(rx.State):
"""A reflex state with bare and base objects."""
"""A reflex state with bare, base and sqlalchemy base vars."""
bare: rx.Field[Bare] = rx.field(Bare())
bare_optional: rx.Field[Bare | None] = rx.field(None)
base: rx.Field[Base] = rx.field(Base())
base_optional: rx.Field[Base | None] = rx.field(None)
sqlamodel: rx.Field[SqlaModel] = rx.field(SqlaModel())
sqlamodel_optional: rx.Field[SqlaModel | None] = rx.field(None)
dataclass: rx.Field[Dataclass] = rx.field(Dataclass())
dataclass_optional: rx.Field[Dataclass | None] = rx.field(None)
base_list: rx.Field[list[Base]] = rx.field([Base()])
@pytest.mark.parametrize("type_", [Base, Bare])
@pytest.mark.parametrize("type_", [Base, Bare, SqlaModel, Dataclass])
def test_var_create(type_: GenericType) -> None:
my_object = type_()
var = Var.create(my_object)
@ -49,7 +83,7 @@ def test_var_create(type_: GenericType) -> None:
assert quantity._var_type is int
@pytest.mark.parametrize("type_", [Base, Bare])
@pytest.mark.parametrize("type_", [Base, Bare, SqlaModel, Dataclass])
def test_literal_create(type_: GenericType) -> None:
my_object = type_()
var = LiteralObjectVar.create(my_object)
@ -59,7 +93,7 @@ def test_literal_create(type_: GenericType) -> None:
assert quantity._var_type is int
@pytest.mark.parametrize("type_", [Base, Bare])
@pytest.mark.parametrize("type_", [Base, Bare, SqlaModel, Dataclass])
def test_guess(type_: GenericType) -> None:
my_object = type_()
var = Var.create(my_object)
@ -70,7 +104,7 @@ def test_guess(type_: GenericType) -> None:
assert quantity._var_type is int
@pytest.mark.parametrize("type_", [Base, Bare])
@pytest.mark.parametrize("type_", [Base, Bare, SqlaModel, Dataclass])
def test_state(type_: GenericType) -> None:
attr_name = type_.__name__.lower()
var = getattr(ObjectState, attr_name)
@ -80,7 +114,7 @@ def test_state(type_: GenericType) -> None:
assert quantity._var_type is int
@pytest.mark.parametrize("type_", [Base, Bare])
@pytest.mark.parametrize("type_", [Base, Bare, SqlaModel, Dataclass])
def test_state_to_operation(type_: GenericType) -> None:
attr_name = type_.__name__.lower()
original_var = getattr(ObjectState, attr_name)
@ -100,3 +134,29 @@ def test_typing() -> None:
# Base
var = ObjectState.base
_ = assert_type(var, ObjectVar[Base])
optional_var = ObjectState.base_optional
_ = assert_type(optional_var, ObjectVar[Base | None])
list_var = ObjectState.base_list
_ = assert_type(list_var, ArrayVar[list[Base]])
list_var_0 = list_var[0]
_ = assert_type(list_var_0, ObjectVar[Base])
# Sqla
var = ObjectState.sqlamodel
_ = assert_type(var, ObjectVar[SqlaModel])
optional_var = ObjectState.sqlamodel_optional
_ = assert_type(optional_var, ObjectVar[SqlaModel | None])
list_var = ObjectState.base_list
_ = assert_type(list_var, ArrayVar[list[Base]])
list_var_0 = list_var[0]
_ = assert_type(list_var_0, ObjectVar[Base])
# Dataclass
var = ObjectState.dataclass
_ = assert_type(var, ObjectVar[Dataclass])
optional_var = ObjectState.dataclass_optional
_ = assert_type(optional_var, ObjectVar[Dataclass | None])
list_var = ObjectState.base_list
_ = assert_type(list_var, ArrayVar[list[Base]])
list_var_0 = list_var[0]
_ = assert_type(list_var_0, ObjectVar[Base])