The daemon now collects CPU temp, core count, load average, memory/disk
usage, OS info, and system uptime every heartbeat using stdlib-only reads
from /proc and /sys. Stats are sent as a JSON blob in the heartbeat
payload, stored in a new system_stats TEXT column, and displayed in a
new "System" tab in SpoolBuddy Settings with color-coded usage bars.
SpoolBuddy devices can now be updated from Settings → Updates without
SSH access. The daemon picks up an "update" command via its existing
heartbeat, runs git fetch/reset + pip install, reports progress back
to the backend, then exits for systemd to restart with the new code.
Backend: update_status/update_message fields, trigger + status endpoints
Daemon: _perform_update() handler, report_update_status() API method
Frontend: "Apply Update" button with live progress in UpdatesTab
Write NTAG213/215/216 tags for third-party spools via the SpoolBuddy
kiosk UI. New "Write" page with three workflows: existing spool, new
spool creation, and tag replacement. Backend encodes 133-byte OpenTag3D
NDEF payloads (material, color, brand, weight, temp). Daemon writes
page-by-page via PN5180 NTAG WRITE command with read-back verification.
Write commands flow through heartbeat polling with WebSocket status
updates. Includes 39 new tests and translations for all 6 languages.
The tare and calibrate buttons on the Settings page queued commands
but never executed them due to three broken links:
1. Daemon received tare command via heartbeat but never called
scale.tare() — the ScaleReader was available in shared dict
but unused
2. No API endpoint for the daemon to report the new tare offset
back to the backend DB, so tare results were lost
3. Heartbeat updated config but never called
scale.update_calibration(), so ScaleReader kept initial values
Added set-tare endpoint + API client method, and fixed heartbeat
loop to execute tare, persist the result, and propagate calibration
changes to the ScaleReader instance.
SpoolBuddy turns a Raspberry Pi 4B with a PN5180 NFC reader and
NAU7802 scale into a filament management station that integrates
with Bambuddy via REST API and WebSocket.
Backend: SpoolBuddyDevice model, 10 REST endpoints (/spoolbuddy/*),
6 WebSocket broadcast types, background offline-detection watchdog.
RPi daemon: asyncio service with concurrent NFC polling (300ms,
MIFARE Classic + Bambu HKDF key derivation), scale reading (10 SPS,
5-sample moving average, stability detection), and 10s heartbeat
with exponential backoff reconnect.
Frontend: kiosk-optimized 1024x600 UI at /spoolbuddy with Dashboard
(live weight + NFC spool detection), AMS Overview, Inventory,
Printers, and Settings pages. useSpoolBuddyState reducer hook
driven by WebSocket CustomEvents.
i18n: all 6 locales (en, de, fr, it, ja, pt-BR).
maziggy