# Changelog All notable changes to Bambuddy will be documented in this file. ## [0.2.5b2] - Unreleased ### Fixed - **A project's tags vanished from the edit dialog when you opened it from the projects list — and its priority was quietly reset when you saved (#2536, reporter @fireboyff)** — Editing a project from the Projects list showed an empty tags field; opening the same project first and editing it from inside showed the tags correctly. **One dialog, two callers.** `ProjectModal` is shared: the detail page hands it a full project, the list hands it a list item. The list endpoint's payload never carried `tags`, `due_date` or `priority`, so from the list the dialog seeded those three fields from `undefined` and rendered them blank. It compiled because the component read them through a cast (`project as ProjectListItem & { tags?: string }`), which asserts a field the type does not have — so TypeScript never pointed out that the value was always missing. The fields are now on `ProjectListResponse` and on `ProjectListItem`, the casts are gone, and the compiler enforces the two shapes agreeing from here on. **The part nobody reported.** The dialog does not send tags when the field is empty, so the tags themselves survived — they were only invisible. Priority is not so lucky: it is *always* sent, defaulting to `normal`. So editing a **high** or **urgent** project from the list silently demoted it, and the reporter would have had no reason to connect that to the empty field he did see. Fixing the payload fixes both, since the dialog now receives the real priority to send back. **Clearing a tag list also never worked, from either view.** An emptied field was sent as `undefined`, which drops the key from the request, and the backend only applied values that were not null — so the old tags came straight back. Tags and due date now behave like budget and URL already did: sent as null, cleared explicitly, and an omitted key still means "leave it alone". **Tests.** 4 backend cases (the list and the template list both carry the fields the dialog renders; a partial update does not disturb a stored priority or tags; an explicit null clears tags and due date) — mutation-verified, three of them fail against the old payload. 3 frontend cases pin the dialog: it prefills all three from a list item, it round-trips a stored `high` instead of submitting its default, and clearing the tags field sends null. The templates list was missing `target_parts_count` too, which the same dialog edits; that is fixed in passing. - **Scheduled backups to a NAS failed with "Read-only file system" — and our own systemd unit was the reason (#2544, reporter @pwostran)** — Nightly backups to a mounted NAS share had run since May and then stopped, failing every night with `[Errno 30] Read-only file system`. The reporter checked the folder permissions, which were correct: his mount is `gid=backup,dir_mode=0775`, the service user is in `backup`, and his own shell writes to the share fine. **Errno 30 is EROFS, and EROFS is not a permission error** — a permission problem is errno 13. EROFS means the filesystem itself refused the write, and the filesystem refused it because *we told it to*. Bambuddy's systemd unit ships `ProtectSystem=strict`, which mounts the entire filesystem read-only inside the service's own mount namespace and carves back out only `ReadWritePaths= `. A NAS share is not one of those three. Reads still work — which is why the UI happily listed his existing backups from the share while being unable to create a new one — and the operator's shell is outside the namespace entirely, so every check he could think to run said the directory was fine. **How a working install broke.** Both installers write `/etc/systemd/system/bambuddy.service` wholesale, so any `ReadWritePaths` an operator had added by hand disappeared on the next install, along with their backups. That is now fixed at the source: the installers back the old unit up (`.bak-`) and **carry the operator's extra writable paths forward** into the new one, reporting which ones they kept. The unit template also documents the carve-out, since the next person to read it has to be able to work out why a directory they can write to is read-only for the service. **The failure is no longer silent, or cryptic.** The output directory is now probed with a real write when you save it and when the backup card loads, so a directory Bambuddy cannot write to is caught there and then rather than at 03:00 for a week. When the probe fails, the card names the actual cause and hands over the exact fix with the operator's own path already in it — `sudo systemctl edit bambuddy` → `[Service]` → `ReadWritePaths=/mnt/nasbackup` — instead of quoting an errno. A failed backup run reports the same diagnosis rather than the raw OSError. EROFS outside systemd, permission-denied, out-of-space, not-a-directory and missing are told apart and worded accordingly, in all 11 locales. **A Docker trap caught on the way past.** A backup path inside the container that was never bind-mounted from the host is *writable* — the write lands in the container's ephemeral layer and vanishes on the next `compose up`. A backup that silently goes nowhere is the one failure mode a backup feature must not have, so the probe compares the directory's device against the container root and warns when they match, with the compose snippet that mounts it properly. **Tests.** 15 backend cases: EROFS under systemd is diagnosed as the sandbox and yields a copy-pasteable drop-in; EROFS *outside* systemd does not blame a unit that doesn't exist; EACCES stays a permission problem; the unit name is read from the cgroup (plain, templated, and the fallback when there's no `.service` in it); the probe leaves no file behind in the backup list; a container-layer path is flagged while a mounted volume is not; a failed run surfaces the diagnosis and not the errno; and four pin the installers, so a reinstall can never again drop a writable path or overwrite a unit without a backup. Verified against a real read-only mount, not a mocked one — the classifier was run against an actual `mount -o ro` tmpfs and returned the reporter's exact errno with the right remedy. 4 frontend cases on the banner. - **Docker never shut down gracefully — every stop, restart and update was a SIGKILL** — `CMD ["sh", "-c", "uvicorn ..."]` left the shell as PID 1 with uvicorn as its child, and dash does not forward signals. So `docker stop` SIGTERMed the shell and **uvicorn never heard about it**. Measured on the shipped image: the stop ran the full 10-second grace period, the container exited **137** (SIGKILL), and the log contained no "Shutting down" line at all — it simply stopped dead after `Uvicorn running on ...`. That means the entire shutdown path had never once executed in Docker: no SQLite WAL checkpoint, no MQTT disconnect (the broker saw an ungraceful drop every time), no virtual-printer teardown, no printer disconnect, no `engine.dispose()`. Not "when a camera is streaming" — *always*, on every `docker stop`, `docker restart`, `compose down` and image update. The fix is one word: `CMD ["sh", "-c", "exec uvicorn ..."]`. With `exec`, uvicorn *is* PID 1 and receives the signal. Verified on a rebuilt image: PID 1 is now `uvicorn`, `docker stop` completes in **1 second** with **exit code 0**, and the log shows `Shutting down` → `WAL checkpoint completed` → `Application shutdown complete`. - **`systemctl restart` could hang for 90 seconds and end in SIGKILL** — with a camera tile open, stopping Bambuddy would sit at `Waiting for connections to close.` until systemd gave up and killed it. Uvicorn's `timeout_graceful_shutdown` defaults to `None`, i.e. **wait forever** for in-flight requests, and an MJPEG camera stream is a response that never completes — `httptools`'s connection `shutdown()` only flips `keep_alive = False` on an in-flight cycle, it never closes the transport. So a single open stream pinned the process. Worse, the ordering is inverted: uvicorn only fires the **lifespan shutdown** — the code that would tear those streams down — *after* the connections drain, so the cleanup that would unblock the wait was itself blocked by the wait. Every launcher now passes `--timeout-graceful-shutdown 5`: the Dockerfile, the shipped `deploy/bambuddy.service`, the systemd unit and launchd plist emitted by `install/install.sh`, the SpoolBuddy installer's unit (a kiosk parked on the printers page holds exactly such a stream open, so this bit it on every reboot), and the Windows NSSM registration. On timeout uvicorn cancels the request tasks and the camera generators unwind cleanly on `CancelledError` — a path they already handled. `TimeoutStopSec` is raised to 30s on the systemd units as a backstop rather than the mechanism, and `stop_grace_period: 30s` added to the compose file so a slow teardown on a Pi isn't clipped. On Windows, NSSM's stop sequence was also force-killing uvicorn mid-teardown: its default `AppStopMethodConsole` is **1500 ms**, far less than uvicorn needs, so that is raised to 15s and the useless WM_CLOSE / thread-message stages (uvicorn is a console app with no window and no message loop) are skipped. **Tests.** 9 cases pinning every launcher — that the Dockerfile `exec`s, that each of the six launch points carries the timeout flag, that the systemd stop timeouts leave room for the teardown, and that NSSM waits long enough for the Ctrl-C. None of this shows up in a functional test: the app is perfectly healthy right up until you ask it to stop. - **Energy Summary stuck at zero for Yesterday and Total on REST smart plugs — and the Statistics energy figure with it (#2539, reporter @R3play210)** — A Shelly Plug S Gen3 wired up over the REST integration showed live power and a Today figure that climbed, but Yesterday and Total never moved off zero, through five days of printing. **The bug.** `RESTSmartPlugService.get_energy()` returned a dict with two keys, `power` and `today`. It never set `yesterday` or `total` at all, so `SmartPlugEnergy` defaulted them to null and the summary card summed nothing. Tasmota returns all three; Home Assistant returns two; REST returned one. **The number that looked right was also wrong.** A Shelly has no notion of "today" — its only energy figure is `aenergy.total`, a lifetime counter in watt-hours that climbs forever and never resets. Bambuddy had a single energy field, so the reporter put the lifetime counter in it, and line 230 filed it under `today`. It *looked* correct because it grows; it just never dropped back to zero at midnight. The one figure he trusted was the least trustworthy of the four. **It broke more than the card.** With `total` never populated, the hourly snapshot recorder skipped the plug outright (its own comment said so: *"REST plugs that only expose today can't be used for cumulative snapshots"*), `_sum_live_plug_totals()` summed zero, and since the reporter's `energy_tracking_mode` is `total`, the **Statistics page's energy figure was zero too** — he simply hadn't got to it yet. **The fix.** A REST plug now says which counter it has: `rest_energy_path` still means "energy used today", and a new `rest_energy_total_path` means "lifetime counter that never resets". A Shelly has only the latter; a Tasmota behind a REST bridge has both; both are read from one HTTP fetch when they share a URL. Then, because the snapshot table already records that lifetime counter hourly, **Today and Yesterday are derived from it**: today = the counter now minus its value at the last local midnight, yesterday = that midnight's value minus the one before. So a Shelly gets all four numbers with no new device capability — and Home Assistant's permanently-null Yesterday is fixed for free. Today appears after the first midnight the install lives through, Yesterday after the second; a counter that goes backwards (factory reset zeroes `aenergy.total`) reports nothing rather than a negative. **Local midnight, not UTC.** With `TZ=Europe/Berlin` a UTC boundary would roll Today over at 02:00 wall-clock. The snapshot loop now ticks on the *local* hour instead of every 3600s from boot, so a reading lands exactly on the day boundary — including in the half-hour-offset zones (India, Nepal) where local midnight isn't on a UTC hour at all. Previously the last snapshot before midnight could be up to an hour early, and an hour of a printer's draw is real watt-hours to lose off the day. **Collateral: the whole smart-plug subsystem was broken on Postgres.** Every `DateTime` column in the smart-plug tables is naive and holds UTC, but the code wrote *aware* datetimes into them. SQLite tolerates that — its bind processor reads the fields and drops the offset — which is why it went unnoticed. asyncpg does not: it raises `DataError: invalid input for query argument`. So on Postgres every energy-snapshot capture raised (silently, inside the loop's `except`), leaving the snapshot table empty and the date-filtered energy stat permanently zero, and every plug status poll raised on `last_checked`. Postgres is what Bambuddy recommends for multi-printer installs, so this was not a corner. All smart-plug timestamps are now naive UTC via a shared `utcnow_naive()` / `to_naive_utc()`, and the snapshot-delta query normalises its bounds the same way. **Tests.** 8 cases on the derivation (today and yesterday from the counter; yesterday absent until two midnights have passed; nothing derivable before the first; a counter reset reports nothing rather than a negative; another plug's snapshots are not borrowed; a device-reported figure is never overwritten by our arithmetic). 4 on the REST driver, using the reporter's own `Switch.GetStatus` payload (the lifetime counter lands in `total` and *not* in `today`; a plug reporting both keeps them apart; a total path alone is enough to read energy at all; both counters share one HTTP fetch). 4 more pin the Postgres-unsafe datetime — mutation-verified: reintroducing the aware timestamp fails the guard. Migration applied and re-applied against a real Postgres to confirm it is idempotent and defaults to NULL. **Existing REST users:** if your Energy JSON Path points at a cumulative counter (anything from a Shelly does), move it to the new **Energy JSON Path (lifetime)** field — the form and the wiki now say which field wants which counter. ### Added - **Cam Wall on its own URL, and on a TV that isn't logged in (#2531, reporter @cadtoolbox)** — The Cam Wall was reachable exactly one way: click the Cam wall button on the Printers page. It had no URL, so you couldn't bookmark it, link to it, or point a wall-mounted screen at it. It now lives at **`/camwall`**, and a button next to the Cards / Cam wall toggle opens it there. Signed in, that page is the same wall you already know — tiles clickable, settings popover working, the knobs shared with the Printers page through the same localStorage keys, so a change in one follows you to the other. **The TV case is the hard half.** A screen in a workshop has no login session, and a wall tile needs two things a camera token could not previously fetch: the list of printers, and each one's status for the state badge. Both sit behind `PRINTERS_READ`, so a kiosk got a 401 and an empty wall. The obvious fix — let the existing `camera_stream` token through to `GET /printers` — is the wrong one: that response carries every printer's `serial_number` and `ip_address` even in its non-secret shape, and a URL pinned to a lobby TV lives in the browser history, in the kiosk's config file, and on the screen itself. So the Cam Wall gets a **purpose-built read-only feed** at `GET /api/v1/camwall/printers` that serves only what a tile draws: id, name, camera rotation, connected, state, progress, layers, remaining time, HMS codes. No serial. No IP. No access code. **And no filename** — a token wall renders the compact overlay, so the field simply isn't served rather than being served and then hidden client-side; the part on the bed is never named to a room anyone can walk into. **A second scope, not a wider one.** The feed is gated on a new `camwall` token scope alongside `camera_stream`. A Cam Wall token reaches the video *and* the tile metadata; a camera-stream token reaches the video and is refused by the feed. That matters because `camera_stream` tokens are already in the wild, minted by people who agreed to hand out a picture — shipping this must not retroactively grant them the ability to enumerate a fleet by name. Pick the scope when you create the token in **Settings → API Keys → Camera API Tokens**; the create dialog then hands you the finished kiosk URL, fully assembled, so nobody has to build it from the docs. **What a token wall gives up.** No settings popover and no click-through: a TV has nobody standing at it, and click-through would open a page the token cannot authenticate. The controls are not merely hidden — they aren't rendered, so a kiosk carries no focusable control it cannot act on. The overlay is capped at `compact` even if the URL asks for `full`. The screen can still be tuned from the URL: `?maxLive=9&interval=10&status=compact`, all clamped to the same ranges the popover enforces. **Statuses are polled, not pushed** — the page renders outside the app layout and its WebSocket provider, and a kiosk token cannot mint a WS ticket anyway; a wall is watched, not operated, so a 5-second cadence costs nothing. **Revoking the token cuts the display off** on its next request. **Tests.** 11 backend cases: no token / garbage token / revoked token all rejected; a `camera_stream` token refused by the feed (the assertion the separate scope exists for); a `camwall` token accepted; the payload's key set pinned so a future field can't quietly add a serial, an IP or a filename; a Cam Wall token passes the camera-stream gate so its own tiles fill; a camera-stream token still passes its own gate (regression guard on #1108); and the scope allowlist pinned so adding a third scope has to be a deliberate act. 7 frontend cases covering the kiosk feed being called with the URL token, the token reaching the `` URLs, no settings popover, inert tiles, `?status=full` refused, the expired-token message, and — the negative — a tokenless visit never touching the kiosk endpoint. **Scope.** New endpoint, new token scope, new route. No DB migration, no new permission, no change to the in-page wall. - **Live print progress for Virtual Printers in Bambu Studio / OrcaSlicer (#1887, reporter @YozenPL)** — Connect the slicer to a server-mode VP with a target printer bound and the Device tab shows the printer's AMS, temperatures and camera, but the print itself reads as a name and nothing else: no stage, no percentage, no layer count, no time remaining. The data was never missing — the bridge has the target's real `push_status` cached, `mc_percent` and all — Bambuddy was deliberately overwriting it with zeros. **Why it was zeroed.** #1558, the exact inverse complaint: a queue-mode VP that passed the live values through was read by Bambu Studio as *busy*, and the Send button went away for as long as the printer printed, which defeats the entire purpose of queueing. **Why you cannot simply have both.** Both slicers gate the Device-tab progress panel and the Send button on one and the same predicate — `MachineObject::is_in_printing()`, true when `gcode_state` is RUNNING / PAUSE / SLICING / PREPARE. `StatusPanel::update_subtask()` draws the progress bar on it; `SelectMachineDialog::update_show_status()` disables Send on it. Report the printer's state honestly and you get progress at the cost of Send; zero it and you get Send at the cost of progress. There is no field-level trick, because it is one boolean. **The fix.** There is exactly one state in the gap: `FINISH`. StatusPanel renders the full progress panel for it (`is_in_printing() || print_status == "FINISH"`), SelectMachineDialog does not consider it busy. The VP already parks there after every upload — that is the #1280 / #1658 send-modal handshake — which is precisely why the reporter saw a file name and no numbers: the slicer was already drawing the widget, and we were feeding it zeros. So while the target printer is printing and the VP has no upload of its own in flight, the report now holds `gcode_state=FINISH` and passes the real `mc_print_stage`, `mc_percent`, `mc_remaining_time`, `stg`, `stg_cur`, `layer_num` and `total_layer_num` through underneath it, at the existing 1 Hz push. Send stays enabled in every mode and #1558 does not come back. **What it costs.** The slicer's Pause / Resume / Stop buttons stay greyed for a server-mode VP, since it now reports a finished job rather than a running one — they were greyed before this change too, so nothing is lost; drive the print from Bambuddy, or use Proxy Mode, where the slicer talks to the printer directly and they work. `print_error` is never mirrored either: a fault on the printer would raise a modal error dialog in the slicer for a machine that did not throw it, and the printer's own card already reports it. **The upload handshake wins.** Mirroring is suppressed while a job is being handed over (`gcode_state=PREPARE`) and for five seconds after the last upload transition — the slicer only releases its in-flight-job lock when it sees FINISH carrying the `subtask_name` it just uploaded, so swapping in the printer's filename mid-handshake would wedge the send modal at "Downloading". Once settled, the report switches to the job that is actually on the bed, which is the one the user wants to watch. **Tests.** 8 cases: progress mirrors while the target prints; the mirrored state is never one the slicer reads as busy (parametrised over RUNNING and PAUSE — this is the assertion that keeps #1558 fixed); progress stays zeroed while the target is idle, while an upload is in flight, and inside the settle window, where the slicer's own filename is still echoed back at it; mirroring resumes once the handshake has settled; `print_error` is suppressed while the rest still mirrors. Verified by mutation — forcing the mirror off fails five of the eight. **Scope.** Backend only, non-proxy VPs with a target printer bound. No DB migration, no schema change, no new setting, no new permission, no i18n change. - **Slicer Pipelines — multi-copy batches, class targeting, fanout strategies, runs dashboard, retry-failed, live WS updates (#1425 PR C — completes the v3 design)** — The PR A/B drop turned slice-modal preset bundles into one-click dispatches with a pinned target printer. PR C closes the original issue with full production-batch semantics: an operator picks a saved pipeline, types in a number of copies, and Bambuddy slices once and distributes the prints across a fleet according to the pipeline's chosen fanout strategy. The runs dashboard surfaces every active and historical run with filters, per-row expandable per-copy status, cancel-in-flight, and retry-failed-copies. WebSocket pushes keep the dashboard and the in-Settings "Last run" chip live without polling. **Backend.** `PipelineRunCreateRequest.copies` (Pydantic `ge=1, le=1000`) replaces the implicit 1 from PR B; the orchestration loop creates one `PipelineJob` row per copy. `SlicerPipelineUpdate` accepts `target_kind` (`specific_printer` / `printer_class`), `target_model_class` (Bambu model code: A1 / A1 Mini / P1P / P1S / P2S / X1 / X1C / X1E / H2D / H2D Pro / H2C / X2D), and `fanout_strategy` (`max_parallel` / `round_robin` / `fill_one_first`). A new `pipeline_max_copies` setting (default 50, Pydantic `ge=1, le=1000`) gates the copies input in the Run-with-pipeline modal and is enforced again at `POST /run` time so an API caller can't bypass the cap. PR C also adds `PipelineRun.parent_run_id` (nullable FK to itself, ON DELETE SET NULL) so retry runs link back to the run whose failed copies they re-attempt. **Eligibility for class targeting.** The matcher in `services/pipeline_eligibility.py` now branches on `pipeline.target_kind`: the specific-printer path is unchanged (PR B parity), the new class-targeting path enumerates every `Printer` whose `model` matches `pipeline.target_model_class`, runs the per-printer slot-by-slot check for each via a `status_lookup` closure that the route handler hands in (so the matcher stays pure-ish for unit tests), and returns a top-level `printer_reports: list[PerPrinterReport]` with `ok` derived as `any` across the candidates. New issue kinds: `no_class_matches` (the install has zero printers in the chosen model class) and `class_not_set` (target_kind is `printer_class` but no model was picked). The lenient-policy story is the same — operators can `Run anyway` past blocking issues, and `PipelineRun.eligibility_overridden` is set so the audit trail shows it. **Orchestration + fanout.** A new `_pick_assignments(pipeline, copies)` helper returns `[(printer_id_or_None, target_model_or_None), …]` of length copies per the picked strategy. `max_parallel` sets `target_model=pipeline.target_model_class` on every queue item and leaves `printer_id=None` — the existing print scheduler's model-based dispatch picks any idle matching printer per item; the result is that multiple printers grab work in parallel without any new scheduler code. `round_robin` enumerates eligible printers (`is_active=True`, model matches) ordered by id and assigns copy `i` to `eligible[i % len(eligible)]` — each item gets a fixed `printer_id`, the wear distributes evenly. `fill_one_first` pins every copy to `eligible[0]` so a one-printer fleet stays one-printer even when others come online mid-run; the documented trade-off is that a printer failure freezes the queue at that printer until the operator intervenes. All three flows reuse the same slice-once path; the slice runs through `slice_dispatch.enqueue` exactly as PR B did so the persistent progress toast renders end-to-end for batches just like single-copy runs. **Routes.** `GET /pipeline-runs?limit&offset&pipeline_id&status` is the dashboard endpoint — newest-first, paginated, filterable by pipeline and persisted snapshot status. `POST /pipeline-runs/{id}/retry-failed` counts the parent's failed-or-cancelled jobs at the live (queue-entry-aware) status level, builds a fresh `PipelineRunCreateRequest` with `copies=that count` and `force=True` (operator already accepted eligibility on the parent), routes it through the existing `run_pipeline` handler, and stamps `parent_run_id` on the result. Returns 400 when the parent's source or pipeline was deleted, or when there are no failed copies to retry. `POST /pipeline-runs/{id}/cancel` extends PR B's cancel to cascade across N queue entries — only the ones still in `pending` / `queued` are touched so in-flight prints continue on the printer (operator must Stop on the machine). **WebSocket.** New `pipeline_run_updated` event type carries the full materialised `PipelineRunResponse` and fires on every state transition (`queued → slicing → dispatching → in_progress → completed | failed | partial_failure | cancelled`). Per-user routing via `ws_manager.broadcast_to_user(run.created_by, …)` so each operator sees their own runs without cross-user noise; auth-disabled installs broadcast to all connections (PR B's pattern). The frontend's `useWebSocket` switch handles it by invalidating both `['pipeline-runs-all']` (the dashboard) and `['pipeline-runs', pipeline_id]` (the per-pipeline "Last run" chip in Settings). The dashboard still polls every 15 s as a belt-and-suspenders for missed messages. **Run status roll-up.** A new `_roll_up_run_status` function computes the run-level status from the per-job statuses at read time: all-completed → `completed`, any in-flight → `in_progress`, some completed + some failed → the new `partial_failure` status (this is what gets the Retry-failed button), all failed → `failed`. The persisted snapshot is still written on terminal transitions for the dashboard's status filter to remain useful. `copies_completed` / `_failed` / `_cancelled` / `_in_progress` counts ride on the response so per-row "1/3 · 2 failed" summaries don't need a second query. **Frontend.** The Settings → Workflow → Pipelines pipeline editor grows three new controls in the edit form: a radio for `target_kind` (Specific printer / Printer class), a model-class picker filtered to the models present on at least one installed `Printer` row (so users can't pick "H2C" if they only have X1Cs), and a fanout-strategy radio with the three options labelled with their use cases. The read-only row reflects class targeting with a "X1C · Round robin" line in place of the printer name. `RunWithPipelineModal` grows a number input for copies bounded by `settings.pipeline_max_copies`, accepts class-targeted pipelines (the "Apply pipeline" button is enabled when the pipeline has either a pinned printer OR a class target), and the pipeline-list row shows "Any X1C" instead of a printer name for class pipelines. The "Run pipeline" Setting → Workflow → Queue & Dispatch sub-tab gets a new "Slicer Pipeline limits" card with the max-copies input (bounded 1–1000 client-side, server enforces the same). **New dashboard page at `/pipelines/runs`** (sidebar entry under Print Queue, gated on `pipelines:read`). Lists every run across every pipeline with two dropdown filters (pipeline + persisted snapshot status) and pagination at 25 per page. Each row shows pipeline name, status chip (`partial_failure` is amber), source file, created-at timestamp, and "{completed}/{copies}" + "{failed} failed" rollup. Click the chevron to expand a per-copy panel listing each `PipelineJob`'s assigned printer + status + error message. In-flight runs get a Cancel button; partial-failure / failed runs get a Retry-failed button. **i18n.** ~43 new keys across `nav.pipelineRuns`, `pipelineRuns.*` (title / filters / pagination / job-status chips / toasts), `settings.pipelines.field.*` (targetKind / fanout / class), `settings.pipelines.runs.status.partial_failure`, `settings.pipelineLimits.*`, `library.runWithPipeline.*` (copies / copiesHint / classTarget / issue.noClassMatches / issue.classNotSet), and `common.previous` / `common.next` — translated in all 11 locales (de / en / es / fr / it / ja / ko / pt-BR / tr / zh-CN / zh-TW). Parity check 5516 leaves per locale, no English fallback. `Copies` / `{{n}} copies` / `max {{n}}` added to the French + Italian cognate allowlists where they're genuine. **Tests.** Six new backend cases in `test_pipeline_runs_api.py` covering copies-cap rejection (schema gate at 1000), 3-copy run creates 3 jobs with sequential `copy_index`, class eligibility with two X1C candidates returns a 2-entry `printer_reports` array, class eligibility with no matching printers in install returns `no_class_matches`, dashboard list endpoint with pagination + status filter, retry-failed correctly counts failed jobs from a partial-failure parent and stamps `parent_run_id`. Plus the existing 16 PR A/B cases were lightly updated where `class_not_set` is now a valid no-target signal alongside `printer_not_set`. Five new frontend cases in `PipelineRunsPage.test.tsx` pin the dashboard's empty state, list rendering, Cancel button on in-flight runs, Retry-failed button on partial-failure runs, and per-row expand to show jobs. Three updated frontend cases (`RunWithPipelineModal.test.tsx`) assert the new four-arg signature on `runPipeline` (`pipelineId, source, force, copies`). One updated `SettingsPage.test.tsx` sidebar-order test reflects the new `pipelineRuns` nav entry between `queue` and `projects`. **Suites.** `pytest -n 30 backend/tests/` 6539/6539 green; `npx vitest run` 2284/2284 green (173 files); `npm run build` clean; `python -m ruff check backend/` clean; `node scripts/check-i18n-parity.mjs` clean. **Scope.** PR C closes the v3 design — no further pipeline PRs are queued. The existing print scheduler's model-based dispatch (`PrintQueueItem.target_model` + `target_location` + `required_filament_types`) is the only thing that makes class targeting actually distribute work; PR C just plugs into it. The `fill_one_first` strategy's "one printer fails, queue stalls" trade-off is documented in the editor's option-row hover-hint and in the orchestrator code comment — it's the correct behaviour for "I want one printer to finish a batch end-to-end" and the wrong behaviour for "I want resilience"; the right strategy for resilience is `max_parallel`. **Cross-printer-class pipelines** (e.g. one pipeline targeting "any X1C OR P1S") remain out of scope — make two pipelines, one per class. - **Slicer Pipelines — Archive entry point + progress toast for pipeline-driven slicing (#1425 PR B follow-up)** — Two real gaps from the PR B drop. (1) The Run-with-pipeline button only existed in the file manager — operators who keep their working files in archives had to copy them out to the library to use a pipeline. (2) Triggering a slice via a pipeline produced a silent multi-second-to-minute wait — the manual SliceModal flow has the sticky `Slicing X — Generating G-code 75%` persistent toast, the pipeline path went through `asyncio.create_task` directly and never registered with `SliceJobTracker`. **Fix.** (1) `POST /slicer-pipelines/{id}/check-eligibility` and `POST /slicer-pipelines/{id}/run` now accept `source_archive_id` as an alternative to `source_library_file_id` (XOR — Pydantic validator rejects both-set and neither-set), and the eligibility-check and orchestration paths branch via `_resolve_source` which reads `archive.source_3mf_path` with a fallback to `archive.file_path`. `PipelineRun.source_archive_id` is a new nullable FK column (Postgres + SQLite `ALTER TABLE` in `run_migrations` — idempotent via `_safe_execute`). `PipelineRunResponse` echoes the field. ArchiveCard's context menu picks up a `Run with pipeline` item alongside the existing Slice action (only on source archives — gcode archives already have Print + Open in BambuStudio), gated on `useSlicerApi` + `pipelines:run`. Path-safety: `Path(base_dir) / archive.source_3mf_path` carries a `SEC-PATH-OK` marker citing the upload-time validator at `_resolve_source_3mf_path` (same comment style as `routes/archives.py:3955`); the `LibraryFile.file_path` site gets the same treatment. (2) The pipeline orchestrator is now the `run` callable of a `slice_dispatch.enqueue` call — the same dispatcher the manual `SliceModal` flow uses — instead of a bare `asyncio.create_task`. The SliceJob's lifecycle (`pending → running → completed/failed`) drives the existing progress toast end to end: same persistent toast, same `Generating G-code 75%` weave from the sidecar's `--pipe` channel, same auto-replace with a transient success/error toast on terminal. `PipelineRun.slice_job_id` is set on the run row before the route returns 202, so the frontend can call `useSliceJobTracker().trackJob(slice_job_id, source.kind, source.filename)` from `RunWithPipelineModal`'s `runMutation.onSuccess` — same one-call surface that `SliceModal`'s slice mutation already uses. (3) `RunWithPipelineModal`'s `source` prop is now `{kind: 'libraryFile' | 'archive', id, filename}` (mirrors `SliceModal.SliceSource`); `api.checkPipelineEligibility` + `api.runPipeline` take a discriminated-union source argument and route to the right backend field. `PipelineRun` TS type grows `source_archive_id`. **Tests.** Three new backend cases in `test_pipeline_runs_api.py` — archive-source happy path (creates a PrintArchive row + on-disk file, posts with `source_archive_id`, verifies the response carries `source_archive_id` + `slice_job_id` from a stubbed `slice_dispatch.enqueue`), XOR rejection both-set, XOR rejection neither-set. The existing three run/cancel cases were updated to patch `backend.app.services.slice_dispatch.slice_dispatch.enqueue` (the new mock target) instead of the removed `_run_pipeline_orchestration` helper, and the run-happy-path now asserts `slice_job_id == 9001` arrives on the response. One new frontend case in `RunWithPipelineModal.test.tsx` pins the archive flow end to end (`checkPipelineEligibility` called with `{kind: 'archive', id: 7}`, then `runPipeline` with the same). The existing fast/slow path tests were updated to wrap in `SliceJobTrackerProvider` (the new `useSliceJobTracker` hook requires it) and to assert the new discriminated-union source argument. **Suites.** `pytest -n 30 backend/tests/` 6533/6533 green; `npx vitest run` 2279/2279 green (172 files); `npm run build` clean; `python -m ruff check backend/` clean; `node scripts/check-i18n-parity.mjs` clean. **Scope.** No new i18n keys — both fixes reuse the existing PR B keys. No new permission. The archive flow only branches at the source-resolution layer; everything downstream (eligibility, slice, queue dispatch) is the same code path the library flow uses. PR C scope (multi-copy + class targeting + fanout) is unchanged. - **Slicer Pipelines — Run a pipeline on a file with one click (#1425 PR B)** — PR A landed the bundle (save & apply preset slots in the SliceModal). PR B turns that bundle into an actual one-click dispatcher: file-manager rows now carry a `Run with pipeline ▾` button that slices the source through the pipeline's pinned printer/process/filament/bed-type combo and enqueues the print on the pipeline's pinned target printer. **Scope.** Single-target dispatch — `target_kind='specific_printer'` only. Multi-copy batch + class targeting + fanout strategies are PR C; the schema columns are already in place from PR A so PR C is code-only. **Backend.** Two new SQLAlchemy models — `PipelineRun` (one row per Run-pipeline click, carries the slice_job + sliced_library_file ids + snapshot status) and `PipelineJob` (one row per copy; PR B always 1, PR C variable). Soft-link to slicer_pipelines via `ondelete='SET NULL'` so run history survives a pipeline delete; same for source_library_file. **`status`** on the run is a *persisted snapshot* that gets terminal transitions written (slice failure, cancel, completion); in-flight reads roll up the live state of the linked queue entry via `_compute_run_status` — that keeps the status accurate (`pending → printing → completed`) without a background watcher writing on every queue tick. **Eligibility matcher** at `services/pipeline_eligibility.py` — given a pipeline + the live `PrinterState` from `printer_manager.get_status`, returns a structured report with typed issues: `printer_not_set`, `printer_not_found`, `printer_disabled` (from `Printer.is_active` shipped with #1476), `printer_offline`, `filament_type_mismatch`, `filament_color_mismatch`, `ams_slot_missing`, `filament_unverified` (cloud/standard tier presets can't be statically read here; surface as info, not a block). Canonical filament-type map mirrors `print_scheduler._canonical_filament_type` so `PLA Basic` / `PLA Matte` / etc. all collapse to `PLA` for the type comparison; colour normalises to six-hex-digit lowercase. **Eligibility is lenient with confirmation** — the report drives the frontend confirmation modal, but the user can `Run anyway` (sets `eligibility_overridden=True` on the run row so the audit trail shows which runs bypassed pre-flight). **Routes.** Two new routers — `pipeline_run_create_router` mounted under `/slicer-pipelines` (POST `/{id}/check-eligibility`, POST `/{id}/run`, GET `/{id}/runs?limit=N`) and `pipeline_run_router` at `/pipeline-runs` (GET `/{id}`, POST `/{id}/cancel`). `POST /run` returns 202 with the run shape; orchestration happens in a fire-and-forget `asyncio.create_task` that opens its own DB session (the request's session is closed by the time it runs) and walks: status='slicing' → `slice_and_persist` with the pipeline's `SliceRequest` → on success `status='dispatching'` + insert `PrintQueueItem` with `printer_id=target_printer_id, library_file_id=sliced_library_file_id`. The existing scheduler picks the queue entry up on its next tick. `POST /run` with eligibility issues and no `force` returns 409 with the report inside `detail` so the frontend can render the same confirmation modal it would for an explicit pre-flight; `force=true` bypasses the 409 but a missing `target_printer_id` still 400s (defence in depth — the UI can't enqueue the print without a target). `POST /cancel` is idempotent on terminal states and cascades to the linked queue entry when its status is still `pending` / `queued` (in-flight prints continue — operator must Stop on the printer itself). **SlicerPipeline.target_kind / target_printer_id** become writable via `PUT /slicer-pipelines/{id}` — the schema accepts both fields, the route treats `target_printer_id=0` as "clear" (the empty-`