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@@ -699,11 +699,14 @@ class BaseState(Base, ABC, extra=pydantic.Extra.allow):
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)
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@classmethod
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- def _evaluate(cls, f: Callable[[Self], Any]) -> Var:
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+ def _evaluate(
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+ cls, f: Callable[[Self], Any], of_type: Union[type, None] = None
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+ ) -> Var:
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"""Evaluate a function to a ComputedVar. Experimental.
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Args:
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f: The function to evaluate.
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+ of_type: The type of the ComputedVar. Defaults to Component.
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Returns:
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The ComputedVar.
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@@ -711,14 +714,23 @@ class BaseState(Base, ABC, extra=pydantic.Extra.allow):
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console.warn(
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"The _evaluate method is experimental and may be removed in future versions."
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)
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- from reflex.components.base.fragment import fragment
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from reflex.components.component import Component
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+ of_type = of_type or Component
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+
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unique_var_name = get_unique_variable_name()
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- @computed_var(_js_expr=unique_var_name, return_type=Component)
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+ @computed_var(_js_expr=unique_var_name, return_type=of_type)
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def computed_var_func(state: Self):
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- return fragment(f(state))
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+ result = f(state)
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+
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+ if not isinstance(result, of_type):
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+ console.warn(
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+ f"Inline ComputedVar {f} expected type {of_type}, got {type(result)}. "
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+ "You can specify expected type with `of_type` argument."
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+ )
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+
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+ return result
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setattr(cls, unique_var_name, computed_var_func)
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cls.computed_vars[unique_var_name] = computed_var_func
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