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CARP context sampling package. Samples location, mobility, activity, weather, air-quality, and geofence.

example/lib/example.dart

import 'package:carp_core/carp_core.dart';
import 'package:carp_mobile_sensing/carp_mobile_sensing.dart';
import 'package:carp_context_package/carp_context_package.dart';

/// This is a very simple example of how this sampling package is used as part
/// of defining a study protocol in CARP Mobile Sensing (CAMS).
///
/// NOTE, however, that the code below will not run on it own. A study protocol
/// needs to be deployed and executed in the CAMS framework.
///
/// See the documentation on how to use CAMS:
/// https://github.com/cph-cachet/carp.sensing-flutter/wiki
void main() async {
  // register this sampling package before using its measures
  SamplingPackageRegistry().register(ContextSamplingPackage());

  // Create a study protocol
  StudyProtocol protocol = StudyProtocol(
    ownerId: 'owner@dtu.dk',
    name: 'Context Sensing Example',
  );

  // Define the smartphone as the primary device.
  Smartphone phone = Smartphone();
  protocol.addPrimaryDevice(phone);

  // Add a background task that collects activity data from the phone
  protocol.addTaskControl(
      ImmediateTrigger(),
      BackgroundTask(measures: [
        Measure(type: ContextSamplingPackage.ACTIVITY),
      ]),
      phone);

  // Define the online location service and add it as a 'connected device'
  final locationService = LocationService(
      accuracy: GeolocationAccuracy.high,
      distance: 10,
      interval: const Duration(minutes: 1));
  protocol.addConnectedDevice(locationService, phone);

  // Add a background task that collects location on a regular basis
  protocol.addTaskControl(
      PeriodicTrigger(period: Duration(minutes: 5)),
      BackgroundTask(measures: [
        (Measure(type: ContextSamplingPackage.CURRENT_LOCATION)),
      ]),
      locationService);

  // Add a background task that continuously collects location and mobility
  // patterns. Delays sampling by 5 minutes.
  protocol.addTaskControl(
      DelayedTrigger(delay: Duration(minutes: 5)),
      BackgroundTask(measures: [
        Measure(type: ContextSamplingPackage.LOCATION),
        Measure(type: ContextSamplingPackage.MOBILITY)
      ]),
      locationService);

  // Add a background task that collects geofence events using DTU as the
  // center for the geofence.
  protocol.addTaskControl(
      ImmediateTrigger(),
      BackgroundTask()
        ..addMeasure(Measure(type: ContextSamplingPackage.GEOFENCE)
          ..overrideSamplingConfiguration = GeofenceSamplingConfiguration(
              name: 'DTU',
              center: GeoPosition(55.786025, 12.524159),
              dwell: const Duration(minutes: 15),
              radius: 10.0)),
      locationService);

  // Define the online weather service and add it as a 'device'
  final weatherService = WeatherService(apiKey: 'OW_API_key_goes_here');
  protocol.addConnectedDevice(weatherService, phone);

  // Add a background task that collects weather every 30 minutes.
  protocol.addTaskControl(
      PeriodicTrigger(period: Duration(minutes: 30)),
      BackgroundTask(measures: [
        Measure(type: ContextSamplingPackage.WEATHER),
      ]),
      weatherService);

  // Define the online air quality service and add it as a 'device'
  final airQualityService = AirQualityService(apiKey: 'WAQI_API_key_goes_here');
  protocol.addConnectedDevice(airQualityService, phone);

  // Add a background task that air quality every 30 minutes.
  protocol.addTaskControl(
      PeriodicTrigger(period: Duration(minutes: 30)),
      BackgroundTask(measures: [
        Measure(type: ContextSamplingPackage.AIR_QUALITY),
      ]),
      airQualityService);
}