该请求应该向Google Fit查询过去3个月的汇总心率数据,按1天时间段分组。然而,我得到的是三个数据点,包括一天(5月29日)的两个数据点。预期的结果是总共两个数据点:一个是5月25日,一个是5月29日。这是什么原因,我该如何解决这个问题?
这是代码:
DateTime now = new DateTime();
DateTime start = now.minusMonths(3);
DataReadRequest readRequest = new DataReadRequest.Builder()
.aggregate(DataType.TYPE_HEART_RATE_BPM, DataType.AGGREGATE_HEART_RATE_SUMMARY)
.bucketByTime(1, TimeUnit.DAYS)
.enableServerQueries()
.setTimeRange(start.getMillis(), now.getMillis(), TimeUnit.MILLISECONDS)
.build();
Fitness.HistoryApi.readData(googleApiClient, readRequest)
.setResultCallback(new ResultCallback<DataReadResult>() {
@Override public void onResult(@NonNull DataReadResult dataReadResult) {
ArrayList<DataPoint> dataPoints = new ArrayList<>();
for (Bucket bucket : dataReadResult.getBuckets()) {
List<DataSet> dataSets = bucket.getDataSets();
for (DataSet dataSet : dataSets) {
Timber.d("dataSet.dataType: %s", dataSet.getDataType().getName());
for (DataPoint dp : dataSet.getDataPoints()) {
dataPoints.add(dp);
Timber.d("Data point:");
Timber.d("Type: %s", dp.getDataType().getName());
Timber.d("Time: %s",
new DateTime(dp.getTimestamp(TimeUnit.MILLISECONDS)).toString());
for (Field field : dp.getDataType().getFields()) {
Timber.d("Field: %s. Value: %s", field.getName(), dp.getValue(field));
}
}
}
}
//...
}
});
这是输出:
05-30 19:34:05.516 13518-13518/com.test D/TestFragment$1$override: Data point:
05-30 19:34:05.516 13518-13518/com.test D/TestFragment$1$override: Type: com.google.heart_rate.summary
05-30 19:34:05.516 13518-13518/com.test D/TestFragment$1$override: Time: 2016-05-25T22:22:58.526+02:00
05-30 19:34:05.517 13518-13518/com.test D/TestFragment$1$override: Field: average. Value: 65.0
05-30 19:34:05.517 13518-13518/com.test D/TestFragment$1$override: Field: max. Value: 65.0
05-30 19:34:05.517 13518-13518/com.test D/TestFragment$1$override: Field: min. Value: 65.0
05-30 19:34:05.517 13518-13518/com.test D/TestFragment$1$override: Data point:
05-30 19:34:05.518 13518-13518/com.test D/TestFragment$1$override: Type: com.google.heart_rate.summary
05-30 19:34:05.518 13518-13518/com.test D/TestFragment$1$override: Time: 2016-05-29T20:33:37.170+02:00
05-30 19:34:05.519 13518-13518/com.test D/TestFragment$1$override: Field: average. Value: 90.80258
05-30 19:34:05.519 13518-13518/com.test D/TestFragment$1$override: Field: max. Value: 164.0
05-30 19:34:05.519 13518-13518/com.test D/TestFragment$1$override: Field: min. Value: 55.0
05-30 19:34:05.519 13518-13518/com.test D/TestFragment$1$override: Data point:
05-30 19:34:05.520 13518-13518/com.test D/TestFragment$1$override: Type: com.google.heart_rate.summary
05-30 19:34:05.520 13518-13518/com.test D/TestFragment$1$override: Time: 2016-05-29T20:48:37.321+02:00
05-30 19:34:05.520 13518-13518/com.test D/TestFragment$1$override: Field: average. Value: 86.78551
05-30 19:34:05.521 13518-13518/com.test D/TestFragment$1$override: Field: max. Value: 106.0
05-30 19:34:05.521 13518-13518/com.test D/TestFragment$1$override: Field: min. Value: 78.0
答案 0 :(得分:0)
据我所知,指定数据源很重要。
我已经阅读了常见问题解答 - Values for step/distance/active time/calories do not match those of Fit app,数据差异可能是因为没有阅读正确的数据源。如上所述,要匹配Google Fit的值,您应该阅读以下数据:
DataSource ESTIMATED_STEP_DELTAS = new DataSource.Builder()
.setDataType(DataType.TYPE_STEP_COUNT_DELTA)
.setType(DataSource.TYPE_DERIVED)
.setStreamName("estimated_steps")
.setAppPackageName("com.google.android.gms")
.build();
DataReadRequest readRequest = new DataReadRequest.Builder()
.aggregate(ESTIMATED_STEP_DELTAS, DataType.AGGREGATE_STEP_COUNT_DELTA)
.aggregate(DataType.TYPE_DISTANCE_DELTA, DataType.AGGREGATE_DISTANCE_DELTA)
.aggregate(DataType.TYPE_CALORIES_EXPENDED, DataType.AGGREGATE_CALORIES_EXPENDED)
.aggregate(DataType.TYPE_ACTIVITY_SEGMENT, DataType.AGGREGATE_ACTIVITY_SUMMARY)
.bucketByTime(1, TimeUnit.DAYS)
.setTimeRange(startTime, endTime, TimeUnit.MILLISECONDS)
.build();
我希望有所帮助。