The printer publishes partial deltas most of the time; the accumulator
merges each one onto whatever state it already has. When the printer
powers off, our cloud MQTT connection stays up (it's a persistent
session to Bambu's broker, not a socket to the printer), so nothing
signals the outage. When the printer reconnects and resumes its normal
partial updates, those deltas get merged onto the stale pre-outage
state — fields the delta doesn't mention (e.g. nozzle_temp) stay frozen
at their old values. Sending any command happens to trigger a full
report from the printer, which is why toggling the light "fixes" it.
Track the time of the last message per BambuPrinter instance. When a
new message arrives after a gap longer than
BAMBU_RUN_MQTT_RESYNC_GAP_SECONDS (default 90s), request a pushall
before processing it, forcing a complete state refresh instead of
trusting the partial delta to overwrite stale fields.
The printer chart API was issuing one extra SELECT per row per field that the
serializer read but .only() omitted. nozzle_temp_left/nozzle_target_temp_left
were added to the serialization loop without being added to _METRICS_API_FIELDS,
so a single-day request ran 5,507 queries and took 34s; the UI's default 48h
range took 87s. Against a remote Postgres this is pure round-trip latency.
- Add the two left-nozzle fields to _METRICS_API_FIELDS.
- Always apply both time bounds in PrinterDataAPIView. Missing or partial date
params previously left the range open, so a bare API call scanned the whole
metrics table.
- Give PrinterDashboardView the same treatment the API already had: .only(),
sampling to _MAX_CHART_POINTS, and a targeted snapshot fetch. It also
evaluated its queryset twice, because .last() on an unevaluated queryset
issues its own query plus its own prefetch.
- Extract sample_metrics() and fetch_snapshots_by_metric() for reuse.
Printer shares the infrastructure_device table with a host project's other
devices and had no category field, so Printer.objects.filter(is_active=True)
could return a NAS. Add a category field and a category-scoped default manager,
keeping all_objects as the unfiltered base manager so related descriptors still
resolve every row. Migration 0009 creates the column in standalone deployments
and skips the DDL where the host project already owns it.
Measured: API 87s -> 0.67s, dashboard 3.4s -> 0.9s. Query counts are now
independent of row count, asserted by tests.
* Initial implementation of multi-printer support.
* Always show device dropdown and add bambu_diagnose for multi-printer troubleshooting.
* Add multi-AMS support: per-unit snapshot/usage tracking, grouped dashboard panels with real type labels, and dual-nozzle card UX fixes. Fixes a real-world AMS info-code parsing bug found by inspecting live H2C data.
* Add Vortek hotend rack tracking: per-SN registry with slot mapping confirmed against live MQTT capture, plus a fallback for non-inductive nozzles (e.g. H2C's fixed left nozzle) shown read-only without fabricated identity. New dashboard card hides entirely on printers with no Vortek/nozzle-info data at all.
Schema (migration 0004):
- PrinterMetrics: nozzle_temp_left, nozzle_target_temp_left,
nozzle_diameter_left, nozzle_type_left (all nullable)
- Filament: ams_unit_id (nullable int), ams_type (AMS/AMS 2 Pro/AMS HT)
- AMS_INFO_TO_TYPE map and AMS_TYPE_CHOICES on models
Parser (mqtt_client.py):
- Decode bit-packed temps from device.extruder.info[] for left/right nozzle
- Emit per-nozzle fields in get_snapshot(); legacy keys mirror right side
- AMS unit type from info code per unit dict
Collector (bambu_collector.py):
- Write left-nozzle fields to PrinterMetrics
- Set ams_unit_id + ams_type on Filament records
- Fix: poll MQTTClient.connected before pushall (not BambuPrinter._connected)
- Add 5s post-pushall wait in --once mode so response arrives before collect
Views: API and dashboard include left-nozzle series; is_dual_nozzle flag
Templates: dual-nozzle cards + chart; AMS-type badge + filter on filament list
Charts: left nozzle temp chart with conditional render
Forms: fix tray_id max=3 → max=15; add ams_unit_id, ams_type fields
* added mcp initial trail files
* timestamp use your local django timezone
* added bambu cloud task sync with correct endpoint other than py cloud api
* back fill and relink print name using cloud if there is
* use correct bump-version
* PrinterDataAPIView downsample
* filament usage chart now works without day constraint
* One command native setup
* add setup timezone verification and link
* added wipe off instructions
* setup default to port 80
* user selectable port number with default to 80
* skip superuser creation if exists
* auto install iptables if not available
* wipe out instructions updated
* added cover image
* bambu color import manage tool added
* added AMS hex color trimming
* updated instructions
* touch up readme
* fixed line chart noise x axis and add more date marker to split them up
* bypass bambu cloud api opencb requirement
* project root add to managepy
* update instruction to do migration; mqtt login more verbose
* migrations up to date model
* use migrations from django migrate
* print full token to copy paste
* allow local network hosts
* added side bar toggle
* removed standalone css from dashboard css
* added icon and fixed text trunction issue
* fixed chart missing whitenoise and not rendering
* aded favicon and fixed ui issues
