mAi: #8 - imagen.jobs queue + worker subcommand (flexsiebels write path)
Async write path for the flexsiebels owner-mode UI: flexsiebels INSERTs into imagen.jobs, the worker on mRiver claims pending rows via LISTEN/NOTIFY + 5s safety poll, runs the same generate pipeline imagen generate uses, and writes the result through internal/cloud into imagen.images. - Schema migration imagen_jobs_init: table + status CHECK + two indexes + owner-scoped RLS + grants + AFTER INSERT trigger publishing on the imagen_jobs channel via pg_notify. - internal/worker: DB-agnostic loop over a Queue interface. Drains the whole pending backlog on each wake. Job-scoped contexts are derived from Background so SIGTERM lets the in-flight generation finish (no half-state). ResetStaleRunning at startup unsticks rows left over from a previous crash. Eight unit tests cover the done / failed / missing-id / drain / NOTIFY-wake / shutdown / transient-error paths against a fake queue (no real Postgres in CI). - cmd/imagen/worker.go: pgx-backed Queue (one dedicated conn for LISTEN + UPDATE), plus the workerPipeline that reuses buildBackend + attachUsageSink + prompt.Apply + buildWriter + maybeCloudSync. The per-job owner_user_id overrides the env-level fallback so each row in imagen.images is attributed correctly. - maybeCloudSync now returns (*cloud.SyncResult, error) so the worker can link imagen.jobs.image_id to the inserted imagen.images row. The CLI generate path keeps printing its stderr summary unchanged. - scripts/imagen-worker.service + .env.example for the systemd --user unit on mRiver. EnvironmentFile lives in ~/.dotfiles and is never committed. - docs/setup-worker-mriver.md walks through installation + the spec's SQL-INSERT smoke; docs/architecture.md grows an "async write path" section. - worker_integration_test.go (env-guarded by IMAGEN_WORKER_INTEGRATION=1) drives one real job through the full pipeline against msupabase using the mock backend, then verifies imagen.images + Storage object landed and the row flipped to done with image_id linked. Verified end-to-end: pickup latency ~7ms, total 74ms, failure path captures error text.
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@@ -7,7 +7,7 @@ upstream API. Each adapter only ever sees its own slice of `imagen.yaml`.
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```
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┌───────────────────────┐
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│ cmd/imagen │ CLI dispatch
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│ cmd/imagen │ CLI dispatch (generate / worker / …)
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│ (or HTTP server) │
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└──────────┬────────────┘
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│
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@@ -18,6 +18,7 @@ upstream API. Each adapter only ever sees its own slice of `imagen.yaml`.
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│ internal/preview │ tmux-img window spawner
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│ internal/cloud │ Supabase Storage + imagen.images
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│ internal/usage │ mai.imagen_usage cost-tracking
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│ internal/worker │ imagen.jobs queue consumer
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└──────────┬────────────┘
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│
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┌──────────▼────────────┐
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@@ -105,9 +106,37 @@ contains the prompt, backend instance name, seed, ISO timestamp, and the
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- Network errors during `Generate` — wrap and return; no retry policy yet
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(decide per-adapter, or move to a shared retry helper if a pattern emerges).
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## Async write path: `imagen worker` + `imagen.jobs`
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`imagen generate` is the synchronous CLI. For web callers (flexsiebels'
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owner-mode UI) `cmd/imagen worker` runs as a daemon that consumes the
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`imagen.jobs` table.
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```
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flexsiebels POST imagen worker (mRiver, systemd)
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→ INSERT INTO LISTEN imagen_jobs ◄── pg_notify trigger
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imagen.jobs(pending) claim row (UPDATE … RETURNING)
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dispatch through internal/backend
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write disk + cloud-sync via internal/cloud
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UPDATE imagen.jobs SET status='done', image_id=…
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```
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The queue table lives next to `imagen.images` in the same `imagen` schema.
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Owner-scoped RLS lets the flexsiebels user INSERT + read their own rows;
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the worker writes (status updates + image_id link) via service-role which
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bypasses RLS. A 5-second safety poll fires on every wake-up to cover
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dropped NOTIFY events and worker cold starts with a non-empty queue. See
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`docs/setup-worker-mriver.md` for the systemd installation.
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The worker reuses `internal/backend`, `internal/output`, and
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`internal/cloud` unchanged — it is purely an orchestration layer around
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the same pipeline `imagen generate` drives.
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## Out of scope (today)
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- Image post-processing (cropping, watermarking).
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- Cost-tracking (lands with the Replicate adapter, since only API backends bill).
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- Multi-image `n>1` per request — backends that support it can expose it via
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`BackendOpts`; the framework doesn't have a first-class field yet.
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- Job cancellation / kill switch — separate follow-up issue.
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- Concurrent workers / multi-host scale-out — `FOR UPDATE SKIP LOCKED` in
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the claim query makes it cheap to add, but a single worker is the v1 setup.
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