reactive.effect

reactive.effect(fn=None, *, suspended=False, priority=0, session=MISSING)

Mark a function as a reactive side effect.

A reactive effect is like a reactive calculation (calc) in that it can read reactive values and call reactive calculations, and will automatically re-execute when those dependencies change. But unlike reactive calculations, it doesn't return a result and can't be used as an input to other reactive expressions. Thus, reactive effects are only useful for their side effects (for example, performing I/O).

Another contrast between reactive calculations and effects is their execution strategy. Reactive calculations use lazy evaluation; that is, when their dependencies change, they don't re-execute right away but rather wait until they are called by someone else. Indeed, if they are not called, then they will never re-execute. In contrast, effects use eager evaluation; as soon as their dependencies change, they schedule themselves to re-execute.

Parameters

suspended : bool = False

If TRUE, start the effect in a suspended state (i.e., it will not execute until resumed and invalidated).

priority : int = 0

The new priority. A higher value means higher priority: an effect with a higher priority value will execute before all effects with lower priority values. Positive, negative, and zero values are allowed.

session : ‘MISSING_TYPE | Session | None’ = MISSING

A Session instance. If not provided, the session is inferred via get_current_session.

Returns

: Effect_ | Callable[[EffectFunction | EffectFunctionAsync], Effect_]

A decorator that marks a function as a reactive effect (Effect_).

Tip

Reactive effects are analagous to observers in Shiny for R.

See Also

• Inputs
• Value
• effect
• invalidate_later
• event

Examples

#| standalone: true
#| components: [editor, viewer]
#| layout: vertical
#| viewerHeight: 400

## file: app.py
from shiny import reactive
from shiny.express import input, ui

ui.input_action_button("show", "Show modal dialog")


@reactive.effect
@reactive.event(input.show)
def show_important_message():
    m = ui.modal(
        "This is a somewhat important message.",
        easy_close=True,
        footer=None,
    )
    ui.modal_show(m)