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
* 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
