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我尝试（如所描述的主题）插入睡眠并将其作为健身活动读取。主要目标是为单个会话分析整个睡眠（何时是轻微/深度睡眠和多久）。 与GoogleFit的连接成功。 但我有数据点和数据会话的麻烦。 也许你可以帮助我。 谢谢你们：DGoogle Fit API睡眠插入并在会话中读取数据点
有点代码，我认为我很麻烦。 我知道不明确的代码。我试图复制我试图粘贴。在某些地方名称不适合。但正如我所说。我试图找出睡眠期间的轻度和深度睡眠阶段。 我收集这些日期与sonyband 2.
private class InsertAndVerifySessionTask extends AsyncTask<Void, Void, Void> {
protected Void doInBackground(Void... params) {
//First, create a new session and an insertion request.
SessionInsertRequest insertRequest = insertFitnessSession();
Log.i(TAG, "Inserting the session in the History API");
com.google.android.gms.common.api.Status insertStatus =
Fitness.SessionsApi.insertSession(mClient, insertRequest)
.await(1, TimeUnit.MINUTES);
// Before querying the session, check to see if the insertion succeeded.
if (!insertStatus.isSuccess()) {
Log.i(TAG, "There was a problem inserting the session: " +
insertStatus.getStatusMessage());
return null;
}
// At this point, the session has been inserted and can be read.
Log.i(TAG, "Session insert was successful!");
// [END insert_session]
// Begin by creating the query.
SessionReadRequest readRequest = readFitnessSession();
// [START read_session]
// Invoke the Sessions API to fetch the session with the query and wait for the result
// of the read request. Note: Fitness.SessionsApi.readSession() requires the
// ACCESS_FINE_LOCATION permission.
SessionReadResult sessionReadResult =
Fitness.SessionsApi.readSession(mClient, readRequest)
.await(1, TimeUnit.MINUTES);
// Get a list of the sessions that match the criteria to check the result.
Log.i(TAG, "Session read was successful. Number of returned sessions is: "
+ sessionReadResult.getSessions().size());
for (Session session : sessionReadResult.getSessions()) {
// Process the session
dumpSession(session);
// Process the data sets for this session
List<DataSet> dataSets = sessionReadResult.getDataSet(session);
for (DataSet dataSet : dataSets) {
dumpDataSet(dataSet);
}
}
// [END read_session]
return null;
}
}
private SessionInsertRequest insertFitnessSession() {
Log.i(TAG, "Creating a new session for an afternoon run");
// Setting start and end times for our run.
Calendar cal = Calendar.getInstance();
Date now = new Date();
cal.setTime(now);
long endTime = cal.getTimeInMillis();
cal.add(Calendar.MINUTE, -10);
long endWalkTime = cal.getTimeInMillis();
cal.add(Calendar.MINUTE, -10);
long startWalkTime = cal.getTimeInMillis();
cal.add(Calendar.MINUTE, -10);
long startTime = cal.getTimeInMillis();
DataSource activitySegmentDataSource = new DataSource.Builder()
.setAppPackageName(this.getPackageName())
.setDataType(DataType.TYPE_ACTIVITY_SEGMENT)
.setName(SAMPLE_SESSION_NAME + "-activity segments")
.setType(DataSource.TYPE_RAW)
.build();
DataSet activitySegments = DataSet.create(activitySegmentDataSource);
DataPoint firstRunningDp = activitySegments.createDataPoint()
.setTimeInterval(startTime, startWalkTime, TimeUnit.MILLISECONDS);
firstRunningDp.getValue(Field.FIELD_ACTIVITY).setActivity(FitnessActivities.SLEEP_LIGHT);
activitySegments.add(firstRunningDp);
DataPoint walkingDp = activitySegments.createDataPoint()
.setTimeInterval(startWalkTime, endWalkTime, TimeUnit.MILLISECONDS);
walkingDp.getValue(Field.FIELD_ACTIVITY).setActivity(FitnessActivities.SLEEP_DEEP);
activitySegments.add(walkingDp);
DataPoint secondRunningDp = activitySegments.createDataPoint()
.setTimeInterval(endWalkTime, endTime, TimeUnit.MILLISECONDS);
secondRunningDp.getValue(Field.FIELD_ACTIVITY).setActivity(FitnessActivities.SLEEP_LIGHT);
activitySegments.add(secondRunningDp);
// [START build_insert_session_request]
// Create a session with metadata about the activity.
Session session = new Session.Builder()
.setName(SAMPLE_SESSION_NAME)
.setDescription("Long run around Shoreline Park")
.setIdentifier("UniqueIdentifierHere")
.setActivity(FitnessActivities.SLEEP)
.setStartTime(startTime, TimeUnit.MILLISECONDS)
.setEndTime(endTime, TimeUnit.MILLISECONDS)
.build();
// Build a session insert request
SessionInsertRequest insertRequest = new SessionInsertRequest.Builder()
.setSession(session)
.addDataSet(activitySegments)
.build();
// [END build_insert_session_request]
// [END build_insert_session_request_with_activity_segments]
return insertRequest;
}
/**
* Return a {@link SessionReadRequest} for all speed data in the past week.
*/
private SessionReadRequest readFitnessSession() {
Log.i(TAG, "Reading History API results for session: " + SAMPLE_SESSION_NAME);
// [START build_read_session_request]
// Set a start and end time for our query, using a start time of 1 week before this moment.
Calendar cal = Calendar.getInstance();
Date now = new Date();
cal.setTime(now);
long endTime = cal.getTimeInMillis();
cal.add(Calendar.WEEK_OF_YEAR, -1);
long startTime = cal.getTimeInMillis();
// Build a session read request
SessionReadRequest readRequest = new SessionReadRequest.Builder()
.setTimeInterval(startTime, endTime, TimeUnit.MILLISECONDS)
.read(DataType.TYPE_ACTIVITY_SEGMENT)
.setSessionName(SAMPLE_SESSION_NAME)
.build();
// [END build_read_session_request]
return readRequest;
}
private void dumpDataSet(DataSet dataSet) {
Log.i(TAG, "Data returned for Data type: " + dataSet.getDataType().getName());
for (DataPoint dp : dataSet.getDataPoints()) {
DateFormat dateFormat = getTimeInstance();
Log.i(TAG, "Data point:");
Log.i(TAG, "\tType: " + dp.getDataType().getName());
Log.i(TAG, "\tStart: " + dateFormat.format(dp.getStartTime(TimeUnit.MILLISECONDS)));
Log.i(TAG, "\tEnd: " + dateFormat.format(dp.getEndTime(TimeUnit.MILLISECONDS)));
for(Field field : dp.getDataType().getFields()) {
Log.i(TAG, "\tField: " + field.getName() +
" Value: " + dp.getValue(field));
}
}
}
private void dumpSession(Session session) {
DateFormat dateFormat = getTimeInstance();
Log.i(TAG, "Data returned for Session: " + session.getName()
+ "\n\tDescription: " + session.getDescription()
+ "\n\tStart: " + dateFormat.format(session.getStartTime(TimeUnit.MILLISECONDS))
+ "\n\tEnd: " + dateFormat.format(session.getEndTime(TimeUnit.MILLISECONDS)));
}
它可能仍然取决于你如何[写/记录活动]（https://developers.google.com/fit/android/using-sessions）。根据这些文档 - [Garmin设备如何测量深度睡眠与轻度睡眠？]（https://www.quora.com/How-do-Garmin-devices-measure-deep-sleep-vs-light-sleep）， [睡眠追踪的4种基本知识]（http://blog.withings.com/2015/03/17/the-4-basics-of-sleep-tracking/）和[睡眠监测解释：休息时间更长，感觉更好]（http://www.wareable.com/fitness-trackers/sleep-monitors-explained-more-deep-sleep）;它可能仍然取决于记录并计算深度/轻度睡眠。 –
最后，要读取睡眠数据，请查看睡眠活动的睡眠时段，就像您在正常健身活动 - [发行说明]（https://developers.google.com/fit/android/releases）中所做的一样。希望这可以帮助。 –