Player Internals

Player Internals Skill

State Machine Detail

preinit ──► initialize ──► start-play ──► idle
                                           │  ▲
                                           ▼  │
                                          play
                                           │
                                           ▼
                                    seek-backfill ──► idle

idle/play ──► reset-playback-iterator ──► idle/play (re-enters)
any ──► close

State Transitions

• preinit → initialize: triggered the first time playback starts after construction (source supplied via constructor).
• initialize → start-play: Source initialize() resolved, topics/schemas available
• start-play → idle: Initial backfill complete, first state emitted
• idle → play: User presses play or setPlaybackSpeed(speed > 0)
• play → idle: Reached end of data or user pauses
• play → seek-backfill: User seeks during playback
• idle → seek-backfill: User seeks while paused
• seek-backfill → idle: Backfill messages found, state emitted

Tick Loop Implementation

// Simplified tick loop logic
async #statePlay() {
  const tickStart = performance.now();
  const budgetMs = 300; // Max time per tick before yielding to UI

  while (performance.now() - tickStart < budgetMs) {
    const result = await this.#iterator.next();
    if (result.done) { return "idle"; }

    this.#pendingMessages.push(result.value.msgEvent);

    // Check if we've passed the target wall-clock time
    if (this.#hasReachedPlaybackTarget()) { break; }
  }

  this.#emitState();
  return "play"; // continue playing next tick
}

Debounced State Emission

• #emitStateImpl() is scheduled via queueMicrotask to coalesce rapid updates
• State includes: activeData (messages, currentTime, topics), progress (caching status)
• Only emits if state actually changed (reference equality check on key fields)

Iterator Architecture

There is no concrete DataSource type in this layering. Sources implement one of two interfaces: ISerializedIterableSource (yields raw bytes) or IDeserializedIterableSource (yields decoded MessageEvents). A serialized source must be wrapped by DeserializingIterableSource; an already-deserialized source skips that wrapper.

Concrete source (e.g. McapIndexedIterableSource, RemoteFileReadable-backed, WebSocket, …)
    │  implements ISerializedIterableSource  OR  IDeserializedIterableSource
    ▼
DeserializingIterableSource (ONLY for serialized sources — applies parseChannel-based decode)
    │  packages/suite-base/src/players/IterablePlayer/DeserializingIterableSource.ts
    ▼
CachingIterableSource (LRU block cache, ~600MB budget)
    │
    ▼
BufferedIterableSource (producer-consumer, read-ahead, default { sec: 10 })
    │
    ▼
IterablePlayer (tick loop consumes messages)

⚠️ DeserializingIterableSource is optional — it is only inserted when the underlying source is serialized (ISerializedIterableSource). Sources that already return IDeserializedIterableSource bypass it.

IIterableSource also exposes optional prewarm?(): Promise<void> for pooled/multi-file sources to warm up before becoming active; see .github/skills/remote-caching/SKILL.md for HydratedSourcePool.

Backfill Strategy

When seeking to time T:

1. For each subscribed topic, find the last message at or before T
2. Uses reverse iteration in indexed sources (MCAP) for efficiency
3. These messages become the "latched" state — panels see them immediately
4. Critical for panels that display "latest value" (e.g., 3D transforms, image)

Subscription Management

• Subscriptions are set by panels via MessagePipeline.setSubscriptions()
• Player diffs new vs old subscriptions to avoid unnecessary re-iteration
• Topic preloading is separate from active subscriptions (handled by BlockLoader)
• reset-playback-iterator state: when subscriptions change mid-play, iterator must restart from current time

Performance Critical Paths

1. Tick loop budget: 300ms cap prevents UI freeze during catch-up
2. Message accumulation: Messages are batched per tick, not emitted individually
3. Iterator yielding: await in the loop allows microtask scheduling
4. Worker sources: Heavy parsing happens in WorkerIterableSource off main thread
5. Seek optimization: Indexed MCAP enables O(log n) seek via chunk indexes