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signals-preact-dart

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Core reactive programming best practices and primitive definitions for preact_signals in Dart.

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Preact Signals in Dart

This skill covers the core reactive programming primitives and implementation patterns of the preact_signals package.

Related Documentation & Items

Related FileDescription
signal.mdStandard writeable reactive state primitive containing value accessors, mutation mechanics, and basic custom options.
computed.mdLazy, memoized read-only derived state signal tracking reactive dependencies dynamically.
effect.mdSynchronous observer managing active subscription loops, dynamic dependency updates, and lifecycle teardown.
readonly.mdRead-only signal views ensuring unidirectional data access flows.
batch.mdTransactional state mutation blocks optimizing reactive computations and preventing rendering/recompute churn.

Core Primitives Quick Start Guide

The signals library exposes five core functions which are the building blocks to model any reactive business logic.

1. signal(initialValue)

Creates a new mutable signal container. You read a signal's value or subscribe to updates by accessing .value.

final counter = signal(0);
print(counter.value); // 0
counter.value = 1; // Mutates value and schedules dependent updates

.peek()

Reads a signal's current value without subscribing to its mutations.

final counter = signal(0);
final logCount = signal(0);

effect(() {
  print(counter.value);
  // Read using peek to avoid subscribing/triggering loop
  logCount.value = logCount.peek() + 1;
});

2. untracked(fn)

Executes a callback that reads signals without subscribing to any of them.

final counter = signal(0);
final count = signal(0);

effect(() {
  print(counter.value);
  count.value = untracked(() => count.value + 1);
});

3. computed(fn)

Combines the values of multiple signals into a lazy, memoized derived signal.

final first = signal('John');
final last = signal('Doe');
final fullName = computed(() => '${first.value} ${last.value}');
print(fullName.value); // John Doe

4. effect(fn)

Orchestrates immediate synchronous side effects by running a callback and subscribing to any signals read within it.

final name = signal('Jane');
final dispose = effect(() => print('Hello $name'));
dispose(); // Clean up subscription

5. batch(fn)

Groups multiple signal writes into a single transaction, executing all dependent computed evaluations and effects exactly once at the end.

final a = signal(0);
final b = signal(0);

batch(() {
  a.value = 1;
  b.value = 2;
});

1. Core Primitives Details

A. Signal<T>

A state primitive representing a mutable value that can be observed.

final count = signal(0);
count.value = 1; // Notifies all active subscribers/effects

B. Computed<T>

A derived state primitive representing a read-only value calculated based on other signals. It is:

  • Lazy: Evaluated only when accessed.
  • Memoized: Caches its value and only recompute when its source dependencies change.
final count = signal(2);
final double = computed(() => count.value * 2);

C. Effect

An observer that executes a callback immediately and tracks read signals. It re-runs whenever any of the tracked signals change.

final dispose = effect(() {
  print('Current count: ${count.value}');
});
dispose(); // Clean up subscription

2. Dependency Tracking & Re-entrancy Rules

  • Synchronous Context: Dependencies are tracked dynamically based on which signals are read during the execution of the callback.
  • Cycle Detection: Reading a computed signal inside its own execution flow or setting dependencies inside computed callbacks causes cycles. Avoid side-effects inside computed getters.
  • Lazy Initial Value: Lazy computed signals are not evaluated when created. Always call isInitialized or check the initialization status before forcing a .peek() inside observers to avoid re-entrancy cycle crashes.