Vision radar: graded obstacle sectors around the centre of the video, the nearest distance per side, the obstacle overhead, and BLOCKED on a side whose sensors cannot see once the motors run. On aircraft with 360° sensing, sides without their own readings are filled from the perception ring. The same sectors sit on the attitude ball's rim, turned by the heading. Settings > Vision gains Display radar chart and the braking / sensing distances per direction. On-screen sticks: the rail's STICKS button hands the aircraft to two stick pads after a slide-to-confirm. The 25 Hz stream runs natively and sends zeros once Dart's last command is 300 ms old, so a stalled UI leaves the aircraft hovering. The sticks close when the remote takes over, on RTH or on landing. They are simulator-only on aircraft with a remote unless Settings > General > Developer allows real flights; Spark and Mavic Air on Wi-Fi may fly them for real. Which MSDK axis is forward in velocity + body mode is coded from DJI's documentation and must be checked in the simulator first. AirSense: a banner for manned aircraft at warning level 2 and up, with distance, direction and ICAO code; the planes on the map; the full list in a sheet and Settings > Safety; and the aircraft's own avoidance action with its countdown. Fly zones: DJI GEO zones around the aircraft (or the phone) on the map with their height limits, a banner for FlySafe notices and in/near-zone states, take-off refused in restricted and locked authorization zones, self-unlock of authorization zones, the aircraft's licences (enable, sync from the DJI account, remove all; ground only), and the GEO database version with an update button. Tested with unit and widget tests and screenshot renders only; nothing has run on an aircraft or the simulator yet. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
115 lines
5.1 KiB
Dart
115 lines
5.1 KiB
Dart
import 'dart:ui' show Size;
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import '../flight_model.dart';
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import 'state/parse.dart';
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/// Routes the bridge's telemetry-bearing events into [FlightModel]'s sub-models
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/// (plan P1). Kept out of the widget tree so it can be unit-tested against
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/// recorded events.
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///
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/// A `telemetry` event is the native [TelemetryHub]'s full snapshot: the flight
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/// controller's flat keys plus one nested group per subsystem (`battery`,
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/// `links`, `rc`, `storage`, `ssd`, `thermal`, `cameraSettings`, `gimbal`,
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/// `gimbalSettings`, `vision`, `calibration`, `perception`, `obstacleSensors`,
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/// `airSense`, `airSenseAvoidance`, `flyZone`). It arrives at
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/// up to 10 Hz with the slow groups repeated unchanged between their 2 Hz
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/// refreshes, so each group is compared with the last one seen and its
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/// sub-model only notified when it actually moved. A group missing from the
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/// snapshot was never reported by this aircraft and leaves its sub-model empty.
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class TelemetryReducer {
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TelemetryReducer(this.model);
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final FlightModel model;
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final Map<String, Object?> _lastGroups = <String, Object?>{};
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static const List<String> _groups = <String>['battery', 'links', 'rc', 'storage', 'ssd', 'thermal', 'cameraSettings', 'gimbal', 'gimbalSettings', 'vision', 'calibration', 'palmControl', 'perception', 'obstacleSensors', 'airSense', 'airSenseAvoidance', 'flyZone'];
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/// Applies [event] if it is one of the telemetry types; returns whether it was.
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bool apply(Map<String, dynamic> event) {
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switch (event['type'] as String?) {
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case 'telemetry':
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// Stray packets trailing a disconnect would repopulate what was cleared.
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if (model.connected) model.batch(() => _telemetry(event));
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return true;
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case 'camera':
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if (model.connected) model.camera.applySystem(event);
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return true;
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case 'exposure':
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if (model.connected) model.camera.applyExposure(event);
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return true;
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case 'histogram':
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if (model.connected) model.camera.applyHistogram(event);
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return true;
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case 'diagnostics':
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if (model.connected) model.alerts.apply(asMapList(event['items']));
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return true;
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case 'key':
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final String? id = asString(event['id']);
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if (model.connected && id != null) model.keys.apply(id, event['value']);
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return true;
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case 'mission':
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model.mission.apply(event);
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return true;
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case 'flySafe':
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// The GEO system is app-level: its notices count with or without an aircraft.
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model.flyZones.applyNotice(event);
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return true;
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case 'flyZoneDbProgress':
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model.flyZones.applyUpgradeProgress(finite(event['progress']));
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return true;
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case 'videoSize':
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final int? w = asInt(event['width']), h = asInt(event['height']);
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if (w != null && h != null && w > 0 && h > 0) model.videoSize.value = Size(w.toDouble(), h.toDouble());
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return true;
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}
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return false;
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}
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/// Forgets the last-seen groups, so the next aircraft's first tick applies in full.
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void reset() => _lastGroups.clear();
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void _telemetry(Map<String, dynamic> t) {
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// Flight-controller keys change every tick; absent until the FC first reports.
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if (t.containsKey('satelliteCount')) model.aircraft.apply(t);
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final Set<String> changed = <String>{};
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for (final String g in _groups) {
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final Object? v = t[g];
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if (_lastGroups.containsKey(g) && deepEquals(_lastGroups[g], v)) continue;
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_lastGroups[g] = v;
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changed.add(g);
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}
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if (changed.isEmpty) return;
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if (changed.contains('battery')) {
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final Map<String, dynamic>? b = asMap(t['battery']);
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b == null ? model.battery.clear() : model.battery.apply(b);
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}
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if (changed.contains('links') || changed.contains('rc')) {
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model.links.apply(links: asMap(t['links']), rc: asMap(t['rc']));
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}
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if (const <String>['storage', 'ssd', 'thermal', 'cameraSettings'].any(changed.contains)) {
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model.camera.applyTelemetry(
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storage: asMap(t['storage']),
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ssd: asMap(t['ssd']),
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thermal: asMap(t['thermal']),
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settings: asMap(t['cameraSettings']),
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);
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}
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if (changed.contains('gimbal')) {
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final Map<String, dynamic>? g = asMap(t['gimbal']);
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g == null ? model.gimbal.clear() : model.gimbal.apply(g);
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}
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if (changed.contains('gimbalSettings')) model.gimbal.applySettings(asMap(t['gimbalSettings']));
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if (changed.contains('vision')) model.vision.apply(asMap(t['vision']));
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if (changed.contains('calibration')) model.calibration.apply(asMap(t['calibration']));
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if (changed.contains('palmControl')) model.vision.applyPalm(asString(t['palmControl']));
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if (changed.contains('perception')) model.vision.applyPerception(asMap(t['perception']));
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if (changed.contains('obstacleSensors')) model.vision.applyHealth(asMap(t['obstacleSensors']));
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if (changed.contains('airSense')) model.airSense.apply(asMap(t['airSense']));
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if (changed.contains('airSenseAvoidance')) model.airSense.applyAvoidance(asMap(t['airSenseAvoidance']));
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if (changed.contains('flyZone')) model.flyZones.applyState(asMap(t['flyZone']));
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}
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}
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