New sub-path export @alkdev/pubsub/call providing:
- CallEventSchema (TypeBox schemas) for call.requested/responded/part/completed/aborted/error
- PendingRequestMap with call() (request/response) and subscribe() (streaming via Repeater)
- CallError class and CallErrorCode constants
- Scoped topic subscriptions (call.responded:{requestId}) to avoid O(n) fanout
- subscribe() yields call.part events until call.completed or call.error,
with automatic call.aborted on consumer break
Also adds @alkdev/typebox as runtime dependency and architecture doc.
285 lines
11 KiB
Markdown
285 lines
11 KiB
Markdown
---
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status: draft
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last_updated: 2026-04-30
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---
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# Call Protocol
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Unified event-based protocol for request/response and streaming operations. Built on `@alkdev/pubsub`'s `TypedEventTarget` and `Repeater` primitives.
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## Overview
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The call protocol provides a single event-based mechanism that works identically whether the operation is local (in-process), remote (hub/spoke over WebSocket or Iroh), or streamed (subscription). It is transport-agnostic — the same event shapes, same `requestId` correlation, same `PendingRequestMap`. Only the `EventTarget` changes.
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Two consumption patterns share the same protocol:
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- **`call()`**: Publish `call.requested`, subscribe to response events scoped by `requestId`, resolve on first response → `Promise<TOutput>`
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- **`subscribe()`**: Publish `call.requested`, subscribe to `call.part` events scoped by `requestId`, yield each part until `call.completed` or `call.error` → `Repeater<TOutput>`
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Both use `call.requested` as the trigger. The `operationId` and `operation.type` on the handler side determine which pattern applies. The protocol itself doesn't distinguish — it's the handler that decides whether to respond once (`respond()`) or stream (`part()` + `complete()`).
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## Event Types
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All events use TypeBox schemas, compatible with `@alkdev/pubsub`'s `PubSubPublishArgsByKey`. Schemas are exported as `CallEventSchema` for runtime validation.
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### `CallEventSchema`
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```ts
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const CallEventSchema = {
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"call.requested": Type.Object({
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requestId: Type.String(),
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operationId: Type.String(),
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input: Type.Unknown(),
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parentRequestId: Type.Optional(Type.String()),
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deadline: Type.Optional(Type.Number()),
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identity: Type.Optional(Type.Object({
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id: Type.String(),
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scopes: Type.Array(Type.String()),
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resources: Type.Optional(Type.Record(Type.String(), Type.Array(Type.String()))),
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})),
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}),
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"call.responded": Type.Object({
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requestId: Type.String(),
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output: Type.Unknown(),
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}),
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"call.part": Type.Object({
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requestId: Type.String(),
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output: Type.Unknown(),
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index: Type.Optional(Type.Number()),
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}),
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"call.completed": Type.Object({
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requestId: Type.String(),
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}),
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"call.aborted": Type.Object({
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requestId: Type.String(),
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}),
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"call.error": Type.Object({
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requestId: Type.String(),
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code: Type.String(),
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message: Type.String(),
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details: Type.Optional(Type.Unknown()),
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}),
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}
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```
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### Topic Scoping
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Response events are scoped by `requestId` using pubsub's built-in topic scoping:
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| Event | Publish | Subscribe (caller) | Subscribe (handler) |
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|-------|---------|--------------------|--------------------|
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| `call.requested` | `pubsub.publish("call.requested", event)` | — | Unscoped: `pubsub.subscribe("call.requested")` |
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| `call.responded` | `pubsub.publish("call.responded", requestId, event)` | Scoped: `pubsub.subscribe("call.responded", requestId)` | — |
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| `call.part` | `pubsub.publish("call.part", requestId, event)` | Scoped: `pubsub.subscribe("call.part", requestId)` | — |
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| `call.completed` | `pubsub.publish("call.completed", requestId, event)` | Scoped: `pubsub.subscribe("call.completed", requestId)` | — |
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| `call.aborted` | `pubsub.publish("call.aborted", requestId, event)` | Scoped: `pubsub.subscribe("call.aborted", requestId)` | Scoped: `pubsub.subscribe("call.aborted", requestId)` |
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| `call.error` | `pubsub.publish("call.error", requestId, event)` | Scoped: `pubsub.subscribe("call.error", requestId)` | — |
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This gives every `requestId` its own event channel. On Redis, this maps to `call.responded:{uuid}` channels. On WebSocket or Iroh, the topic string is a routing key. In-process, it's a `CustomEvent` with `type: "call.responded:{uuid}"`.
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**Why scoped instead of unscoped + manual matching?** Scoped topics avoid O(n) fanout. A caller only receives events for its own request. This matters especially on Redis (pub/sub channels) and Iroh (topic订阅), where unscoped subscriptions would deliver every response to every listener.
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## Event Flow
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### Call (request/response)
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```
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Caller Handler
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│ │
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│─── call.requested ───────────────>│
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│ {requestId, operationId, │
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│ input, identity, deadline} │
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│ │
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│<── call.responded:{requestId} ────│
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│ {requestId, output} │
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```
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On error:
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```
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│<── call.error:{requestId} ───────│
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│ {requestId, code, message, │
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│ details} │
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```
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On timeout or caller cancellation:
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```
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│─── call.aborted:{requestId} ────>│
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│ {requestId} │
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```
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### Subscribe (request/stream)
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```
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Caller Handler
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│ │
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│─── call.requested ───────────────>│
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│ {requestId, operationId, │
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│ input, identity} │
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│ │
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│<── call.part:{requestId} ────────│
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│ {requestId, output, index?} │
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│ │
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│<── call.part:{requestId} ────────│
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│ {requestId, output, index?} │
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│ │
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│<── call.completed:{requestId} ────│ ← stream ends normally
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│ {requestId} │
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```
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On stream error:
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```
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│<── call.error:{requestId} ───────│
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│ {requestId, code, message} │
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```
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On caller cancellation (consumer breaks out of `for await`):
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```
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│─── call.aborted:{requestId} ────>│
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│ {requestId} │
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```
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### Nesting
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Nested calls include `parentRequestId` to track the call chain:
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```
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│─── call.requested ───────────────>│ {requestId: A, parentRequestId: P}
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```
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This enables call graph reconstruction and abort cascading — every nested call includes its parent's `requestId`.
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## `PendingRequestMap`
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The primary consumer interface. Wraps `createPubSub` internally and manages the full call/subscribe lifecycle.
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### Construction
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```ts
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const callMap = new PendingRequestMap(eventTarget?)
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```
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- Creates an internal `PubSub<CallPubSubMap>`
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- If `eventTarget` is provided, passes it to `createPubSub` for transport-level event routing
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### `call(operationId, input, options?)` → `Promise<unknown>`
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1. Generate `requestId` via `crypto.randomUUID()`
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2. Subscribe to `call.responded:{requestId}`, `call.error:{requestId}`, `call.aborted:{requestId}` (scoped)
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3. If `deadline` is set, start a timeout timer that publishes `call.aborted` on expiry
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4. Publish `call.requested`
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5. Return a Promise — resolves on `call.responded`, rejects on `call.error` or `call.aborted`
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6. Cleanup: close all scoped subscriptions on settlement
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### `subscribe(operationId, input, options?)` → `Repeater<unknown>`
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1. Generate `requestId` via `crypto.randomUUID()`
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2. Publish `call.requested`
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3. Create scoped subscriptions: `call.part:{requestId}`, `call.completed:{requestId}`, `call.error:{requestId}`
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4. Return a `Repeater` that:
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- Yields `output` from each `call.part` event
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- Completes on `call.completed`
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- Rejects on `call.error`
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- On consumer break (Repeater `stop`), publishes `call.aborted:{requestId}` and closes all subscriptions
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This means consumers can use operators:
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```ts
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const stream = callMap.subscribe("events.live", { topic: "sensors" });
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const filtered = pipe(stream, filter(isRelevant), map(transform));
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for await (const value of filtered) {
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// handle each filtered/mapped stream value
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}
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```
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### Handler-side methods
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| Method | Description |
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|--------|-------------|
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| `respond(requestId, output)` | Publish `call.responded:{requestId}` — single response for call |
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| `part(requestId, output, index?)` | Publish `call.part:{requestId}` — next chunk in subscription stream |
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| `complete(requestId)` | Publish `call.completed:{requestId}` — stream ended normally |
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| `emitError(requestId, code, message, details?)` | Publish `call.error:{requestId}` — error response |
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| `abort(requestId)` | Publish `call.aborted:{requestId}` — caller cancellation |
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## Transport Mapping
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Same protocol, same event shapes, same `PendingRequestMap` — different `EventTarget`:
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| Transport | Use Case | EventTarget impl |
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|-----------|----------|-----------------|
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| In-process | Local operations | Browser `EventTarget` (default) |
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| Redis | Cross-process events | `RedisEventTarget` from `@alkdev/pubsub/event-target-redis` |
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| WebSocket | Hub ↔ spoke bidirectional | `WebSocketEventTarget` (future) |
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| Iroh | P2P QUIC | `IrohEventTarget` (future) |
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| SSE | Server → client streaming | `SSEEventTarget` (future) |
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## Error Model
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### `CallError`
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```ts
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class CallError extends Error {
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readonly code: string;
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readonly details?: unknown;
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}
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```
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### Infrastructure Error Codes
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| Code | When | Details |
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|------|------|---------|
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| `OPERATION_NOT_FOUND` | No operation matches `operationId` | `{ operationId: string }` |
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| `ACCESS_DENIED` | Missing scopes | `{ requiredScopes?: string[] }` |
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| `VALIDATION_ERROR` | Input fails schema check | Wrapped from `Value.Errors` |
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| `TIMEOUT` | Deadline exceeded | `{ deadline: number }` |
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| `ABORTED` | Call/stream cancelled | — |
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| `EXECUTION_ERROR` | Handler threw, no `errorSchemas` match | `{ message: string }` |
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| `UNKNOWN_ERROR` | Non-Error thrown | `{ raw: string }` |
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## TypeBox Schemas and Validation
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All event shapes are defined as TypeBox schemas in `CallEventSchema`. Consumers can use `Value.Check()` or `Value.Errors()` from `@alkdev/typebox` for runtime validation:
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```ts
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import { Value } from "@alkdev/typebox";
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import { CallEventSchema } from "@alkdev/pubsub/call";
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if (!Value.Check(CallEventSchema["call.requested"], incoming)) {
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const errors = [...Value.Errors(CallEventSchema["call.requested"], incoming)];
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// reject with VALIDATION_ERROR
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}
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```
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This enables validation on the Iroh and SSE transports where incoming data is untrusted JSON.
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## Relationship to `@alkdev/operations`
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`@alkdev/operations` provides the `OperationRegistry`, access control, and handler dispatch. It uses `@alkdev/pubsub/call` for:
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- `PendingRequestMap` — call/subscribe client interface
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- `CallEventSchema` — runtime validation of incoming events
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- `CallError` and `CallErrorCode` — error construction and matching
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- Type exports — `CallRequestedEvent`, etc. for handler signatures
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The `CallHandler` in operations receives `call.requested` events, looks up the operation, validates input, checks access, and dispatches to the handler. For query/mutation handlers, it calls `respond()`. For subscription handlers, it calls `part()` and `complete()`.
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## Operators and Stream Composition
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Since `subscribe()` returns a `Repeater<unknown>` (which implements `AsyncIterable`), all pubsub operators work on streams:
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```ts
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import { pipe, filter, map } from "@alkdev/pubsub";
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const stream = callMap.subscribe("events.live", { topic: "sensors" });
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const filtered = pipe(
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stream,
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filter((e) => e.priority > 5),
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map((e) => ({ ...e, enriched: true })),
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);
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```
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This works the same regardless of whether the stream source is in-process, remote via Redis, or remote via Iroh/SSE. |