carp_communication_package 0.20.4 carp_communication_package: ^0.20.4 copied to clipboard
CARP communication sampling package. Samples phone, sms, and calendar logs and activity.
import 'package:carp_core/carp_core.dart';
import 'package:carp_mobile_sensing/carp_mobile_sensing.dart';
import 'package:carp_communication_package/communication.dart';
/// This is a very simple example of how this sampling package is used with
/// CARP Mobile Sensing (CAMS).
/// NOTE, however, that the code below will not run.
/// 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(CommunicationSamplingPackage());
// Create a study protocol using a local file to store data
CAMSStudyProtocol protocol = CAMSStudyProtocol()
..name = 'Track patient movement'
..owner = ProtocolOwner(
id: 'AB',
name: 'Alex Boyon',
email: 'alex@uni.dk',
)
..dataEndPoint = FileDataEndPoint(
bufferSize: 500 * 1000,
zip: true,
encrypt: false,
);
// define which devices are used for data collection
// in this case, its only this smartphone
Smartphone phone = Smartphone();
protocol.addMasterDevice(phone);
// Add an automatic task that immediately starts collecting audio and noise.
protocol.addTriggeredTask(
ImmediateTrigger(),
AutomaticTask()
..addMeasures(SensorSamplingPackage().common.getMeasureList(
types: [
CommunicationSamplingPackage.TELEPHONY,
CommunicationSamplingPackage.PHONE_LOG,
CommunicationSamplingPackage.TEXT_MESSAGE,
CommunicationSamplingPackage.TEXT_MESSAGE_LOG,
CommunicationSamplingPackage.CALENDAR,
],
)),
phone);
// deploy this protocol using the on-phone deployment service
StudyDeploymentStatus status =
await CAMSDeploymentService().createStudyDeployment(protocol);
// now ready to get the device deployment configuration for this phone
CAMSMasterDeviceDeployment deployment = await CAMSDeploymentService()
.getDeviceDeployment(status.studyDeploymentId);
// Create a study deployment controller that can manage this deployment
StudyDeploymentController controller = StudyDeploymentController(deployment);
// initialize the controller and resume sampling
await controller.initialize();
controller.resume();
// listening and print all data events from the study
controller.data.forEach(print);
}