Write down the backend <-> ai-worker contract
`stream:camera_frames` and `channel:print_alerts` are the only interface between `continuum-backend` and `continuum-ai-worker`, and there was nothing specifying either. They had drifted completely: the backend wrote `farmId`, `printerId`, `r2ObjectKey` and `capturedAt`; the worker read a single field called `printer_id` and ignored the rest. Every task was delivered, acknowledged, and attributed to a printer called "unknown" - and nothing errored, because a stream entry is a flat string map and asking it for a field that is not there is not a failure. Same shape as the /ws/edge/v1 drift, found the same way. `schemas/continuum/v1/ai/` is now canonical, with a TypeBox mirror in ts-types and a Rust mirror in the worker. Two things the schemas have to say that JSON Schema does not naturally express, both of which caused real bugs: - A Valkey stream entry is a flat field/value map of *strings*. No nesting, no numbers, no null. So FrameTask has no numeric or nested properties, and a field with no value is omitted from the XADD rather than written as `""` - an empty string is a value, and the producer was writing one for `print_job_id`, which a consumer would carry into a lookup or a uuid column. - PrintAlert, by contrast, *is* a JSON document, because PUBLISH carries one opaque string. It is also fire-and-forget with no persistence, so it can only ever be a live-console feed and never the record of a detection. The README's layout section was stale (it still listed four DTOs that were removed in 2026-09) and did not mention `edge/` or `ai/` at all. It now names both, says why the inter-service protocols live here, and notes that their Rust mirrors sit in the single repo that consumes each rather than in `packages/rust-types`. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
@@ -13,19 +13,39 @@ JSON Schema, compiled into two consumer packages:
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## Layout
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```
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schemas/continuum/v1/ Continuum's own domain model (PrintJob, Template, ...)
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schemas/continuum/v1/ Continuum's own model
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ai/ continuum-backend <-> continuum-ai-worker: the
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stream:camera_frames work queue and the
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channel:print_alerts notification channel
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edge/ continuum-backend <-> continuum-proxy: the
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/ws/edge/v1 gateway uplink protocol
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material/ printer/ domain objects
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vendor.schema.json
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schemas/bambulab/ Bambu Lab MQTT wire schemas (v1/v2, report + request)
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packages/ts-types/ TypeBox schemas (hand-written, mirrors schemas/)
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packages/rust-types/ serde structs (hand-written, mirrors schemas/)
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```
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The two inter-service protocols - `edge/` and `ai/` - are here for a
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specific reason: each has two independent implementations, one per repo, and
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when there was nothing written down between them they drifted completely
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while every test passed. `/ws/edge/v1` had an `auth` handshake the gateway
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never sent; `stream:camera_frames` had a producer writing `printerId` and a
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consumer reading `printer_id`, so every frame was attributed to a printer
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called "unknown". Neither failure was visible from either side alone, which
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is what a canonical schema plus a contract test on each end is for.
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`schemas/continuum/v1/*.schema.json` is the canonical shape for each
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domain object; `packages/ts-types/src/schemas/` and
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`packages/rust-types/src/lib.rs` both mirror it by hand. There are only
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four small, stable DTOs here (`PrintJob`, `MaterialProfile`,
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`PrintParameters`, `Template`), so keeping two hand-synced copies in sync
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is less overhead than running a codegen pipeline (`protoc`/`ts-proto`/
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`prost-build`) nothing actually consumed - see git history for the
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`packages/rust-types/src/lib.rs` both mirror it by hand. A mirror is added
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per schema only once something actually consumes it, so not every file here
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has one, and the two inter-service protocols keep their Rust mirror in the
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single repo that consumes it rather than in `packages/rust-types`:
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`edge/` in `continuum-proxy/src/uplink/protocol.rs`, `ai/` in
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`continuum-ai-worker/src/task.rs`. The set is small and changes slowly,
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which is why keeping hand-synced copies in sync is less overhead than a
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codegen pipeline (`protoc`/`ts-proto`/`prost-build`) nothing actually
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consumed - see git history for the
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protobuf version this replaced, and why it was dropped: every service in
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this system talks JSON (JSON Schema for the wire, TypeBox/serde for
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runtime validation), so protobuf's actual value - a single schema compiled
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@@ -0,0 +1,96 @@
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import { Type, type Static } from "@sinclair/typebox";
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/**
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* The `stream:camera_frames` work queue and the `channel:print_alerts`
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* notification channel, mirroring `schemas/continuum/v1/ai/*.schema.json`
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* by hand - the JSON Schema files are canonical, and the Rust mirror lives
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* in `continuum-ai-worker/src/task.rs`.
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*
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* These two are the only interface between `continuum-backend` and
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* `continuum-ai-worker`. They are written down here because the previous
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* arrangement - a producer and a consumer each naming their own fields,
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* with nothing in between - produced exactly the drift it sounds like: the
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* backend wrote `printerId` and the worker read `printer_id`, so every
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* frame the worker ever handled was attributed to a printer called
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* "unknown", and nothing failed.
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*/
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/**
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* One entry on `stream:camera_frames`.
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*
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* ## Every value is a string
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*
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* A Valkey stream entry is a flat field/value map of strings. There is no
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* nesting and no numeric type, which is why `FrameTaskSchema` has no
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* numbers and no nested objects - a producer that needs one has to encode
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* it, and then both sides have to agree on the encoding, which is the thing
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* this file exists to avoid.
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*
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* ## An absent field is absent
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*
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* `print_job_id` is omitted from the XADD when the frame belongs to no
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* tracked job - not written as `""`. An empty string is a value: a consumer
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* that passes it along ends up looking up job id `""`, and one that writes
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* it to Postgres violates a uuid column. So the producer omits the field and
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* the consumer treats absent and empty alike.
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*/
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export const FrameTaskSchema = Type.Object({
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/** `farms.id`. */
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farm_id: Type.String({ format: "uuid" }),
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/**
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* `printers.id` - the backend's UUID, already resolved from the gateway's
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* own printer id, which means nothing outside its farm.
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*/
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printer_id: Type.String({ format: "uuid" }),
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/** `print_jobs.id`, or omitted. Never `""`. */
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print_job_id: Type.Optional(Type.String({ format: "uuid" })),
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/** Where the frame is in R2. The bytes are never in the stream. */
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r2_object_key: Type.String({ minLength: 1 }),
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/**
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* The gateway's clock, at capture - not enqueue time. A gateway that
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* buffered frames through an uplink outage produces tasks whose
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* `captured_at` is minutes old.
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*/
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captured_at: Type.String({ format: "date-time" }),
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});
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export type FrameTask = Static<typeof FrameTaskSchema>;
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/**
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* One message on `channel:print_alerts`, as JSON.
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*
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* Unlike a stream entry this one is a document, because PUBLISH carries a
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* single opaque string. It is also fire-and-forget: an alert published with
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* no subscriber is gone, so this channel is a live-console feed and not the
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* record of a detection.
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*/
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export const PrintAlertSchema = Type.Object({
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printer_id: Type.String({ format: "uuid" }),
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print_job_id: Type.Optional(Type.String({ format: "uuid" })),
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/**
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* Free string, not an enum: the label set belongs to the model file and
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* changes without this schema changing.
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*/
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label: Type.String(),
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/**
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* The model's own score. Thresholding is the consumer's policy - an
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* operator may well want to see near-misses.
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*/
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confidence: Type.Number({ minimum: 0, maximum: 1 }),
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/** From the frame, so a console shows when the printer looked like this. */
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captured_at: Type.String({ format: "date-time" }),
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/** So a console can show the picture, not just the label. */
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r2_object_key: Type.String(),
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});
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export type PrintAlert = Static<typeof PrintAlertSchema>;
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/** The stream the tasks go on, and the group the worker reads as. */
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export const CAMERA_FRAMES_STREAM = "stream:camera_frames";
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export const AI_WORKER_CONSUMER_GROUP = "ai-worker";
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/**
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* Where entries go that cannot be processed and must not be retried - a
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* malformed task, or one that has been redelivered too many times. Separate
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* from the main stream so a poison message cannot block the queue and
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* cannot be lost silently either.
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*/
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export const CAMERA_FRAMES_DEAD_LETTER_STREAM = "stream:camera_frames:dead";
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export const PRINT_ALERTS_CHANNEL = "channel:print_alerts";
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@@ -9,3 +9,8 @@
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// a TypeBox mirror here, consumed by continuum-backend's edge WebSocket
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// route. Mirrors schemas/continuum/v1/edge/.
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export * from "./edge";
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// The continuum-backend -> continuum-ai-worker interface: the
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// stream:camera_frames work queue and the channel:print_alerts notification
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// channel. Mirrors schemas/continuum/v1/ai/.
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export * from "./ai";
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@@ -0,0 +1,43 @@
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{
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"$id": "https://git.octoturge.com/Continuum/continuum-schemas/raw/branch/main/schemas/continuum/v1/ai/frame_task.schema.json",
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"title": "FrameTask",
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"description": "One camera still, handed from continuum-backend to continuum-ai-worker for print-failure scoring. Produced by XADD onto the stream named below; consumed by XREADGROUP.\n\nThis is a Valkey stream entry, not a JSON document: the wire form is a flat field/value map and EVERY value is a string. That is why there are no numeric or boolean properties here and why a field with no value is omitted from the XADD rather than written as an empty string - an empty string is a value, and a consumer that treats it as one ends up looking up the object key \"\".\n\nField names are snake_case, matching every other schema in this repository. The backend's HTTP routes are camelCase; this wire is not an HTTP route, and the consumer on the other end is serde-derived Rust.",
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"x-stream": "stream:camera_frames",
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"x-consumer-group": "ai-worker",
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"type": "object",
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"properties": {
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"farm_id": {
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"type": "string",
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"format": "uuid",
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"description": "`farms.id`. Carried so a consumer can attribute load and alerts per farm without a database round trip."
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},
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"printer_id": {
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"type": "string",
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"format": "uuid",
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"description": "`printers.id` - the backend's own UUID, already resolved from the gateway's printer id. NOT the gateway's `printers.toml` id, which means nothing outside its own farm."
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},
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"print_job_id": {
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"type": "string",
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"format": "uuid",
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"description": "`print_jobs.id`, when the frame belongs to a tracked job. Omitted entirely when it does not - a printer may be streaming while idle, or running something queued outside Continuum. Consumers must treat an absent key and an empty value alike, and must not fabricate a job id."
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},
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"r2_object_key": {
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"type": "string",
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"minLength": 1,
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"description": "Where the frame actually is, in the R2 bucket. The frame bytes are deliberately NOT in the stream: a stream entry is held in memory by the server and replayed to every consumer group, and a JPEG per printer per second would make the stream the largest thing in the deployment."
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},
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"captured_at": {
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"type": "string",
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"format": "date-time",
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"description": "When the camera took the frame, from the gateway's clock - not when the backend enqueued it. These can differ by a lot: a gateway buffers frames while its uplink is down, so a task may arrive minutes after the moment it describes."
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}
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},
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"required": [
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"farm_id",
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"printer_id",
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"r2_object_key",
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"captured_at"
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],
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"additionalProperties": false
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}
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@@ -0,0 +1,47 @@
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{
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"$id": "https://git.octoturge.com/Continuum/continuum-schemas/raw/branch/main/schemas/continuum/v1/ai/print_alert.schema.json",
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"title": "PrintAlert",
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"description": "A print-failure detection, published by continuum-ai-worker for live operator consoles.\n\nUnlike FrameTask this one IS a JSON document: it travels as the payload of a Valkey PUBLISH, which carries a single opaque string, so the structure has to be inside it.\n\nPUBLISH is fire-and-forget with no persistence and no delivery guarantee: an alert published while nothing is subscribed is gone. That is acceptable for the live-console path it feeds and is NOT acceptable as the record of a detection, which belongs in Postgres. As of 2026-10-11 nothing subscribes to this channel and nothing persists it - see the README section on the AI path.",
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"x-channel": "channel:print_alerts",
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"type": "object",
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"properties": {
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"printer_id": {
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"type": "string",
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"format": "uuid",
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"description": "`printers.id`, taken from the frame task that produced the detection."
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},
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"print_job_id": {
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"type": "string",
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"format": "uuid",
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"description": "Omitted when the frame was not attributed to a tracked job."
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},
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"label": {
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"type": "string",
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"description": "What the model thinks it saw, e.g. \"spaghetti\", \"layer_shift\", \"detachment\". A free string rather than an enum on purpose: the label set is a property of the model file, which changes without this schema changing."
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},
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"confidence": {
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"type": "number",
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"minimum": 0,
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"maximum": 1,
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"description": "The model's own score. Whether it is high enough to act on is the consumer's policy decision, not the worker's - the worker publishes what it found and does not threshold on behalf of an operator who may want to see near-misses."
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},
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"captured_at": {
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"type": "string",
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"format": "date-time",
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"description": "From the frame, not from the detection. An operator needs to know when the printer looked like this, not when a GPU got round to looking."
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},
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"r2_object_key": {
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"type": "string",
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"description": "The frame the detection came from, so a console can show the operator the picture rather than only a label."
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}
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},
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"required": [
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"printer_id",
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"label",
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"confidence",
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"captured_at",
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"r2_object_key"
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],
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"additionalProperties": false
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}
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