add typing to function vars
This commit is contained in:
parent
5d88263cd8
commit
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@ -45,6 +45,8 @@ from reflex.vars import VarData
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from reflex.vars.base import LiteralVar, Var
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from reflex.vars.function import (
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ArgsFunctionOperation,
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ArgsFunctionOperationBuilder,
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BuilderFunctionVar,
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FunctionArgs,
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FunctionStringVar,
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FunctionVar,
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@ -1580,7 +1582,7 @@ class LiteralEventVar(VarOperationCall, LiteralVar, EventVar):
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)
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class EventChainVar(FunctionVar, python_types=EventChain):
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class EventChainVar(BuilderFunctionVar, python_types=EventChain):
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"""Base class for event chain vars."""
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@ -1592,7 +1594,7 @@ class EventChainVar(FunctionVar, python_types=EventChain):
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# Note: LiteralVar is second in the inheritance list allowing it act like a
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# CachedVarOperation (ArgsFunctionOperation) and get the _js_expr from the
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# _cached_var_name property.
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class LiteralEventChainVar(ArgsFunctionOperation, LiteralVar, EventChainVar):
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class LiteralEventChainVar(ArgsFunctionOperationBuilder, LiteralVar, EventChainVar):
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"""A literal event chain var."""
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_var_value: EventChain = dataclasses.field(default=None) # type: ignore
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@ -51,7 +51,8 @@ def get_python_version() -> str:
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Returns:
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The Python version.
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"""
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return platform.python_version()
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# Remove the "+" from the version string in case user is using a pre-release version.
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return platform.python_version().rstrip("+")
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def get_reflex_version() -> str:
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@ -361,21 +361,29 @@ class Var(Generic[VAR_TYPE]):
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return False
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def __init_subclass__(
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cls, python_types: Tuple[GenericType, ...] | GenericType = types.Unset, **kwargs
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cls,
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python_types: Tuple[GenericType, ...] | GenericType = types.Unset(),
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default_type: GenericType = types.Unset(),
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**kwargs,
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):
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"""Initialize the subclass.
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Args:
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python_types: The python types that the var represents.
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default_type: The default type of the var. Defaults to the first python type.
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**kwargs: Additional keyword arguments.
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"""
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super().__init_subclass__(**kwargs)
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if python_types is not types.Unset:
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if python_types or default_type:
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python_types = (
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python_types if isinstance(python_types, tuple) else (python_types,)
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(python_types if isinstance(python_types, tuple) else (python_types,))
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if python_types
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else ()
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)
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default_type = default_type or (python_types[0] if python_types else Any)
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@dataclasses.dataclass(
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eq=False,
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frozen=True,
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@ -388,7 +396,7 @@ class Var(Generic[VAR_TYPE]):
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default=Var(_js_expr="null", _var_type=None),
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)
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_default_var_type: ClassVar[GenericType] = python_types[0]
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_default_var_type: ClassVar[GenericType] = default_type
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ToVarOperation.__name__ = f'To{cls.__name__.removesuffix("Var")}Operation'
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@ -588,6 +596,12 @@ class Var(Generic[VAR_TYPE]):
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output: type[list] | type[tuple] | type[set],
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) -> ArrayVar: ...
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@overload
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def to(
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self,
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output: type[dict],
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) -> ObjectVar[dict]: ...
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@overload
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def to(
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self, output: Type[ObjectVar], var_type: Type[VAR_INSIDE]
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@ -4,32 +4,184 @@ from __future__ import annotations
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import dataclasses
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import sys
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from typing import Any, Callable, Optional, Sequence, Tuple, Type, Union
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from typing import (
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Any,
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Generic,
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Optional,
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ParamSpec,
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Sequence,
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Tuple,
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Type,
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Union,
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overload,
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)
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from typing_extensions import Callable, Concatenate, Protocol, TypeVar
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from reflex.utils import format
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from reflex.utils.types import GenericType
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from .base import CachedVarOperation, LiteralVar, Var, VarData, cached_property_no_lock
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P = ParamSpec("P")
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V1 = TypeVar("V1")
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V2 = TypeVar("V2")
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V3 = TypeVar("V3")
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V4 = TypeVar("V4")
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V5 = TypeVar("V5")
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V6 = TypeVar("V6")
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R = TypeVar("R")
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class FunctionVar(Var[Callable], python_types=Callable):
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class ReflexCallable(Protocol[P, R]):
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"""Protocol for a callable."""
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__call__: Callable[P, R]
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CALLABLE_TYPE = TypeVar("CALLABLE_TYPE", bound=ReflexCallable, infer_variance=True)
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OTHER_CALLABLE_TYPE = TypeVar(
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"OTHER_CALLABLE_TYPE", bound=ReflexCallable, infer_variance=True
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)
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class FunctionVar(Var[CALLABLE_TYPE], default_type=ReflexCallable[..., Any]):
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"""Base class for immutable function vars."""
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def __call__(self, *args: Var | Any) -> ArgsFunctionOperation:
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"""Call the function with the given arguments.
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@overload
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def partial(self) -> FunctionVar[CALLABLE_TYPE]: ...
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@overload
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def partial(
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self: FunctionVar[ReflexCallable[Concatenate[V1, P], R]],
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arg1: Union[V1, Var[V1]],
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) -> FunctionVar[ReflexCallable[P, R]]: ...
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@overload
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def partial(
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self: FunctionVar[ReflexCallable[Concatenate[V1, V2, P], R]],
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arg1: Union[V1, Var[V1]],
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arg2: Union[V2, Var[V2]],
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) -> FunctionVar[ReflexCallable[P, R]]: ...
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@overload
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def partial(
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self: FunctionVar[ReflexCallable[Concatenate[V1, V2, V3, P], R]],
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arg1: Union[V1, Var[V1]],
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arg2: Union[V2, Var[V2]],
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arg3: Union[V3, Var[V3]],
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) -> FunctionVar[ReflexCallable[P, R]]: ...
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@overload
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def partial(
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self: FunctionVar[ReflexCallable[Concatenate[V1, V2, V3, V4, P], R]],
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arg1: Union[V1, Var[V1]],
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arg2: Union[V2, Var[V2]],
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arg3: Union[V3, Var[V3]],
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arg4: Union[V4, Var[V4]],
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) -> FunctionVar[ReflexCallable[P, R]]: ...
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@overload
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def partial(
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self: FunctionVar[ReflexCallable[Concatenate[V1, V2, V3, V4, V5, P], R]],
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arg1: Union[V1, Var[V1]],
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arg2: Union[V2, Var[V2]],
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arg3: Union[V3, Var[V3]],
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arg4: Union[V4, Var[V4]],
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arg5: Union[V5, Var[V5]],
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) -> FunctionVar[ReflexCallable[P, R]]: ...
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@overload
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def partial(
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self: FunctionVar[ReflexCallable[Concatenate[V1, V2, V3, V4, V5, V6, P], R]],
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arg1: Union[V1, Var[V1]],
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arg2: Union[V2, Var[V2]],
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arg3: Union[V3, Var[V3]],
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arg4: Union[V4, Var[V4]],
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arg5: Union[V5, Var[V5]],
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arg6: Union[V6, Var[V6]],
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) -> FunctionVar[ReflexCallable[P, R]]: ...
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@overload
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def partial(
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self: FunctionVar[ReflexCallable[..., R]], *args: Var | Any
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) -> FunctionVar[ReflexCallable[..., R]]: ...
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@overload
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def partial(self, *args: Var | Any) -> FunctionVar: ...
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def partial(self, *args: Var | Any) -> FunctionVar: # type: ignore
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"""Partially apply the function with the given arguments.
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Args:
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*args: The arguments to call the function with.
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*args: The arguments to partially apply the function with.
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Returns:
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The function call operation.
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The partially applied function.
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"""
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if not args:
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return ArgsFunctionOperation.create((), self)
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return ArgsFunctionOperation.create(
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("...args",),
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VarOperationCall.create(self, *args, Var(_js_expr="...args")),
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)
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def call(self, *args: Var | Any) -> VarOperationCall:
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@overload
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def call(
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self: FunctionVar[ReflexCallable[[V1], R]], arg1: Union[V1, Var[V1]]
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) -> VarOperationCall[[V1], R]: ...
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@overload
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def call(
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self: FunctionVar[ReflexCallable[[V1, V2], R]],
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arg1: Union[V1, Var[V1]],
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arg2: Union[V2, Var[V2]],
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) -> VarOperationCall[[V1, V2], R]: ...
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@overload
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def call(
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self: FunctionVar[ReflexCallable[[V1, V2, V3], R]],
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arg1: Union[V1, Var[V1]],
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arg2: Union[V2, Var[V2]],
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arg3: Union[V3, Var[V3]],
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) -> VarOperationCall[[V1, V2, V3], R]: ...
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@overload
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def call(
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self: FunctionVar[ReflexCallable[[V1, V2, V3, V4], R]],
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arg1: Union[V1, Var[V1]],
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arg2: Union[V2, Var[V2]],
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arg3: Union[V3, Var[V3]],
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arg4: Union[V4, Var[V4]],
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) -> VarOperationCall[[V1, V2, V3, V4], R]: ...
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@overload
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def call(
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self: FunctionVar[ReflexCallable[[V1, V2, V3, V4, V5], R]],
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arg1: Union[V1, Var[V1]],
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arg2: Union[V2, Var[V2]],
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arg3: Union[V3, Var[V3]],
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arg4: Union[V4, Var[V4]],
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arg5: Union[V5, Var[V5]],
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) -> VarOperationCall[[V1, V2, V3, V4, V5], R]: ...
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@overload
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def call(
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self: FunctionVar[ReflexCallable[[V1, V2, V3, V4, V5, V6], R]],
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arg1: Union[V1, Var[V1]],
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arg2: Union[V2, Var[V2]],
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arg3: Union[V3, Var[V3]],
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arg4: Union[V4, Var[V4]],
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arg5: Union[V5, Var[V5]],
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arg6: Union[V6, Var[V6]],
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) -> VarOperationCall[[V1, V2, V3, V4, V5, V6], R]: ...
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@overload
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def call(
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self: FunctionVar[ReflexCallable[..., R]], *args: Var | Any
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) -> VarOperationCall[..., R]: ...
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def call(self, *args: Var | Any) -> Var: # type: ignore
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"""Call the function with the given arguments.
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Args:
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@ -38,19 +190,29 @@ class FunctionVar(Var[Callable], python_types=Callable):
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Returns:
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The function call operation.
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"""
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return VarOperationCall.create(self, *args)
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return VarOperationCall.create(self, *args).guess_type()
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__call__ = call
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class FunctionStringVar(FunctionVar):
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class BuilderFunctionVar(
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FunctionVar[CALLABLE_TYPE], default_type=ReflexCallable[..., Any]
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):
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"""Base class for immutable function vars with the builder pattern."""
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__call__ = FunctionVar.partial
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class FunctionStringVar(FunctionVar[CALLABLE_TYPE]):
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"""Base class for immutable function vars from a string."""
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@classmethod
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def create(
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cls,
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func: str,
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_var_type: Type[Callable] = Callable,
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_var_type: Type[OTHER_CALLABLE_TYPE] = ReflexCallable[..., Any],
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_var_data: VarData | None = None,
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) -> FunctionStringVar:
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) -> FunctionStringVar[OTHER_CALLABLE_TYPE]:
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"""Create a new function var from a string.
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Args:
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@ -60,7 +222,7 @@ class FunctionStringVar(FunctionVar):
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Returns:
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The function var.
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"""
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return cls(
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return FunctionStringVar(
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_js_expr=func,
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_var_type=_var_type,
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_var_data=_var_data,
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@ -72,10 +234,10 @@ class FunctionStringVar(FunctionVar):
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frozen=True,
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**{"slots": True} if sys.version_info >= (3, 10) else {},
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)
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class VarOperationCall(CachedVarOperation, Var):
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class VarOperationCall(Generic[P, R], CachedVarOperation, Var[R]):
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"""Base class for immutable vars that are the result of a function call."""
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_func: Optional[FunctionVar] = dataclasses.field(default=None)
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_func: Optional[FunctionVar[ReflexCallable[P, R]]] = dataclasses.field(default=None)
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_args: Tuple[Union[Var, Any], ...] = dataclasses.field(default_factory=tuple)
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@cached_property_no_lock
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@ -103,7 +265,7 @@ class VarOperationCall(CachedVarOperation, Var):
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@classmethod
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def create(
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cls,
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func: FunctionVar,
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func: FunctionVar[ReflexCallable[P, R]],
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*args: Var | Any,
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_var_type: GenericType = Any,
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_var_data: VarData | None = None,
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@ -118,9 +280,15 @@ class VarOperationCall(CachedVarOperation, Var):
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Returns:
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The function call var.
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"""
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function_return_type = (
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func._var_type.__args__[1]
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if getattr(func._var_type, "__args__", None)
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else Any
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)
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var_type = _var_type if _var_type is not Any else function_return_type
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return cls(
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_js_expr="",
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_var_type=_var_type,
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_var_type=var_type,
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_var_data=_var_data,
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_func=func,
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_args=args,
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@ -157,6 +325,33 @@ class FunctionArgs:
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rest: Optional[str] = None
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def format_args_function_operation(
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args: FunctionArgs, return_expr: Var | Any, explicit_return: bool
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) -> str:
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"""Format an args function operation.
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Args:
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args: The function arguments.
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return_expr: The return expression.
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explicit_return: Whether to use explicit return syntax.
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Returns:
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The formatted args function operation.
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"""
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arg_names_str = ", ".join(
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[arg if isinstance(arg, str) else arg.to_javascript() for arg in args.args]
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) + (f", ...{args.rest}" if args.rest else "")
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return_expr_str = str(LiteralVar.create(return_expr))
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# Wrap return expression in curly braces if explicit return syntax is used.
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return_expr_str_wrapped = (
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format.wrap(return_expr_str, "{", "}") if explicit_return else return_expr_str
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)
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return f"(({arg_names_str}) => {return_expr_str_wrapped})"
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@dataclasses.dataclass(
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eq=False,
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frozen=True,
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@ -176,24 +371,10 @@ class ArgsFunctionOperation(CachedVarOperation, FunctionVar):
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Returns:
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The name of the var.
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"""
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arg_names_str = ", ".join(
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[
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arg if isinstance(arg, str) else arg.to_javascript()
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for arg in self._args.args
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]
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) + (f", ...{self._args.rest}" if self._args.rest else "")
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return_expr_str = str(LiteralVar.create(self._return_expr))
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# Wrap return expression in curly braces if explicit return syntax is used.
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return_expr_str_wrapped = (
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format.wrap(return_expr_str, "{", "}")
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if self._explicit_return
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else return_expr_str
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return format_args_function_operation(
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self._args, self._return_expr, self._explicit_return
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)
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return f"(({arg_names_str}) => {return_expr_str_wrapped})"
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@classmethod
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def create(
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cls,
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@ -203,7 +384,7 @@ class ArgsFunctionOperation(CachedVarOperation, FunctionVar):
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explicit_return: bool = False,
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_var_type: GenericType = Callable,
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_var_data: VarData | None = None,
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) -> ArgsFunctionOperation:
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):
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"""Create a new function var.
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Args:
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@ -226,7 +407,64 @@ class ArgsFunctionOperation(CachedVarOperation, FunctionVar):
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)
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JSON_STRINGIFY = FunctionStringVar.create("JSON.stringify")
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@dataclasses.dataclass(
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eq=False,
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frozen=True,
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**{"slots": True} if sys.version_info >= (3, 10) else {},
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)
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class ArgsFunctionOperationBuilder(CachedVarOperation, BuilderFunctionVar):
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"""Base class for immutable function defined via arguments and return expression with the builder pattern."""
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_args: FunctionArgs = dataclasses.field(default_factory=FunctionArgs)
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_return_expr: Union[Var, Any] = dataclasses.field(default=None)
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_explicit_return: bool = dataclasses.field(default=False)
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@cached_property_no_lock
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def _cached_var_name(self) -> str:
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"""The name of the var.
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Returns:
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The name of the var.
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"""
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return format_args_function_operation(
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self._args, self._return_expr, self._explicit_return
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)
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@classmethod
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def create(
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cls,
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args_names: Sequence[Union[str, DestructuredArg]],
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return_expr: Var | Any,
|
||||
rest: str | None = None,
|
||||
explicit_return: bool = False,
|
||||
_var_type: GenericType = Callable,
|
||||
_var_data: VarData | None = None,
|
||||
):
|
||||
"""Create a new function var.
|
||||
|
||||
Args:
|
||||
args_names: The names of the arguments.
|
||||
return_expr: The return expression of the function.
|
||||
rest: The name of the rest argument.
|
||||
explicit_return: Whether to use explicit return syntax.
|
||||
_var_data: Additional hooks and imports associated with the Var.
|
||||
|
||||
Returns:
|
||||
The function var.
|
||||
"""
|
||||
return cls(
|
||||
_js_expr="",
|
||||
_var_type=_var_type,
|
||||
_var_data=_var_data,
|
||||
_args=FunctionArgs(args=tuple(args_names), rest=rest),
|
||||
_return_expr=return_expr,
|
||||
_explicit_return=explicit_return,
|
||||
)
|
||||
|
||||
|
||||
JSON_STRINGIFY = FunctionStringVar.create(
|
||||
"JSON.stringify", _var_type=ReflexCallable[[Any], str]
|
||||
)
|
||||
ARRAY_ISARRAY = FunctionStringVar.create("Array.isArray")
|
||||
PROTOTYPE_TO_STRING = FunctionStringVar.create(
|
||||
"((__to_string) => __to_string.toString())"
|
||||
|
@ -928,7 +928,7 @@ def test_function_var():
|
||||
== '(((a, b) => ({ ["args"] : [a, b], ["result"] : a + b }))(1, 2))'
|
||||
)
|
||||
|
||||
increment_func = addition_func(1)
|
||||
increment_func = addition_func.partial(1)
|
||||
assert (
|
||||
str(increment_func.call(2))
|
||||
== "(((...args) => (((a, b) => a + b)(1, ...args)))(2))"
|
||||
|
Loading…
Reference in New Issue
Block a user