private Bundle formatDistance(DataReadResult dataReadResult) {
Bundle bundle = new Bundle();
// Distance
List<DataPoint> dataPointList =
dataReadResult.getDataSet(DataType.TYPE_DISTANCE_DELTA).getDataPoints();
float[] distance = new float[dataPointList.size()];
long[] startTime = new long[dataPointList.size()];
long[] endTime = new long[dataPointList.size()];
int idx = 0;
for (DataPoint dp : dataPointList) {
distance[idx] = dp.getValue(Field.FIELD_DISTANCE).asFloat();
startTime[idx] = dp.getStartTime(TimeUnit.MILLISECONDS);
endTime[idx] = dp.getEndTime(TimeUnit.MILLISECONDS);
++idx;
}
bundle.putFloatArray("DISTANCE", distance);
bundle.putLongArray("START_TIME", startTime);
bundle.putLongArray("END_TIME", endTime);
Log.d(TAG, String.format("Distance data points: %d", idx));
return bundle;
}
private Bundle formatActivity(DataReadResult dataReadResult) {
Bundle bundle = new Bundle();
// Activity Recognition
List<DataPoint> dataPointList =
dataReadResult.getDataSet(DataType.TYPE_ACTIVITY_SAMPLE).getDataPoints();
int[] activity = new int[dataPointList.size()];
long[] endTime = new long[dataPointList.size()];
float[] confidence = new float[dataPointList.size()];
int idx = 0;
for (DataPoint dp : dataPointList) {
activity[idx] = dp.getValue(Field.FIELD_ACTIVITY).asInt();
confidence[idx] = dp.getValue(Field.FIELD_CONFIDENCE).asFloat();
endTime[idx] = dp.getEndTime(TimeUnit.MILLISECONDS);
++idx;
}
bundle.putIntArray("ACTIVITY", activity);
bundle.putFloatArray("CONFIDENCE", confidence);
bundle.putLongArray("TIMESTAMP", endTime);
Log.d(TAG, String.format("Activity data points: %d", idx));
return bundle;
}
private Bundle formatStepCount(DataReadResult dataReadResult) {
Bundle bundle = new Bundle();
// Step Count
List<DataPoint> dataPointList =
dataReadResult.getDataSet(DataType.TYPE_STEP_COUNT_DELTA).getDataPoints();
int[] steps = new int[dataPointList.size()];
long[] startTime = new long[dataPointList.size()];
long[] endTime = new long[dataPointList.size()];
int idx = 0;
for (DataPoint dp : dataPointList) {
steps[idx] = dp.getValue(Field.FIELD_STEPS).asInt();
startTime[idx] = dp.getStartTime(TimeUnit.MILLISECONDS);
endTime[idx] = dp.getEndTime(TimeUnit.MILLISECONDS);
++idx;
}
bundle.putIntArray("STEPS", steps);
bundle.putLongArray("START_TIME", startTime);
bundle.putLongArray("END_TIME", endTime);
Log.d(TAG, String.format("Step data points: %d", idx));
return bundle;
}
private Bundle formatCalories(DataReadResult dataReadResult) {
Bundle bundle = new Bundle();
// Calorie expenditure
List<DataPoint> dataPointList =
dataReadResult.getDataSet(DataType.TYPE_CALORIES_EXPENDED).getDataPoints();
float[] calories = new float[dataPointList.size()];
long[] startTime = new long[dataPointList.size()];
long[] endTime = new long[dataPointList.size()];
int idx = 0;
for (DataPoint dp : dataPointList) {
calories[idx] = dp.getValue(Field.FIELD_CALORIES).asFloat();
startTime[idx] = dp.getStartTime(TimeUnit.MILLISECONDS);
endTime[idx] = dp.getEndTime(TimeUnit.MILLISECONDS);
++idx;
}
bundle.putFloatArray("CALORIES", calories);
bundle.putLongArray("START_TIME", startTime);
bundle.putLongArray("END_TIME", endTime);
Log.d(TAG, String.format("Calorie data points: %d", idx));
return bundle;
}
@Override
public void execute(Context ctx, Map<String, Value> context)
throws UnknownObjectException, RuleExecutionException {
GoogleApiClient client = ((GoogleFitChannel) channel).acquireClient(ctx);
try {
long now = System.currentTimeMillis();
DataReadRequest.Builder builder =
new DataReadRequest.Builder()
.read(dataType.getType())
.setTimeRange(now - 24 * 3600 * 1000, now, TimeUnit.MILLISECONDS);
DataReadResult result = Fitness.HistoryApi.readData(client, builder.build()).await();
DataSet dataSet = result.getDataSet(dataType.getType());
List<DataPoint> dataPoints = dataSet.getDataPoints();
DataPoint latest = null;
for (DataPoint point : dataPoints) {
if (latest == null || point.getTimestampNanos() >= latest.getTimestampNanos())
latest = point;
}
if (latest == null) throw new RuleExecutionException("Google API did not return any data");
com.google.android.gms.fitness.data.Value value = latest.getValue(dataType.getField());
String dataTypeId = dataType.toString();
if (value.getFormat() == Field.FORMAT_INT32)
context.put(FITNESS_CURRENT_VALUE_PREFIX + dataTypeId, new Value.Number(value.asInt()));
else if (value.getFormat() == Field.FORMAT_FLOAT)
context.put(FITNESS_CURRENT_VALUE_PREFIX + dataTypeId, new Value.Number(value.asFloat()));
else throw new RuleExecutionException("Google Fit data point has invalid type");
} finally {
((GoogleFitChannel) channel).releaseClient();
}
}