octoturgeandClaude Opus 5
aa0e3f79b9
`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>
continuum-schemas
Single source of truth for the Continuum data model. Everything here is JSON Schema, compiled into two consumer packages:
packages/ts-types- hand-written TypeBox schemas undersrc/schemas/used for runtime validation incontinuum-backend's ElysiaJS routes.packages/rust-types- a Rust crate (continuum-rust-types) with hand-written,serde-derived structs forcontinuum-proxyandcontinuum-ai-worker.
Layout
schemas/continuum/v1/ Continuum's own model
ai/ continuum-backend <-> continuum-ai-worker: the
stream:camera_frames work queue and the
channel:print_alerts notification channel
edge/ continuum-backend <-> continuum-proxy: the
/ws/edge/v1 gateway uplink protocol
material/ printer/ domain objects
vendor.schema.json
schemas/bambulab/ Bambu Lab MQTT wire schemas (v1/v2, report + request)
packages/ts-types/ TypeBox schemas (hand-written, mirrors schemas/)
packages/rust-types/ serde structs (hand-written, mirrors schemas/)
The two inter-service protocols - edge/ and ai/ - are here for a
specific reason: each has two independent implementations, one per repo, and
when there was nothing written down between them they drifted completely
while every test passed. /ws/edge/v1 had an auth handshake the gateway
never sent; stream:camera_frames had a producer writing printerId and a
consumer reading printer_id, so every frame was attributed to a printer
called "unknown". Neither failure was visible from either side alone, which
is what a canonical schema plus a contract test on each end is for.
schemas/continuum/v1/*.schema.json is the canonical shape for each
domain object; packages/ts-types/src/schemas/ and
packages/rust-types/src/lib.rs both mirror it by hand. A mirror is added
per schema only once something actually consumes it, so not every file here
has one, and the two inter-service protocols keep their Rust mirror in the
single repo that consumes it rather than in packages/rust-types:
edge/ in continuum-proxy/src/uplink/protocol.rs, ai/ in
continuum-ai-worker/src/task.rs. The set is small and changes slowly,
which is why keeping hand-synced copies in sync is less overhead than a
codegen pipeline (protoc/ts-proto/prost-build) nothing actually
consumed - see git history for the
protobuf version this replaced, and why it was dropped: every service in
this system talks JSON (JSON Schema for the wire, TypeBox/serde for
runtime validation), so protobuf's actual value - a single schema compiled
into a compact binary wire format for both languages - never applied.
Whenever a domain schema changes, update all three by hand: the JSON Schema file, the TypeBox schema, and the Rust struct.
Build / verify
Requires npm install at the repo root, and a Rust toolchain, first.
npm install
npm run build:rust # cargo build, confirms the Rust structs compile
npm run typecheck # tsc -b, confirms the TypeBox schemas compile
There's no build:ts step - the TS side is hand-written, not generated.