How do I get the readings of various fitness activities using Google Fit API?

Question

There are various fitness activities in Google Fit API such as Aerobics, Badminton, Boxing, Weight Lifting, etc. How do I get the readings of the steps counted and the calories burnt for each of these activities using Google Fit API? Any sort of suggestions are most welcome. Thanks in advance.

Answer 1

I'm not sure if this result is what you need. You can use bucketByActivitySegement under DataReadRequest.Builder to split each activity segement.

    DataReadRequest readRequest = new DataReadRequest.Builder()
            .aggregate(DataType.TYPE_STEP_COUNT_DELTA, DataType.AGGREGATE_STEP_COUNT_DELTA)
            .aggregate(DataType.TYPE_CALORIES_EXPENDED, DataType.AGGREGATE_CALORIES_EXPENDED)
            .bucketByActivitySegment( 1, TimeUnit.MINUTES) // just segement time over 1 minute will be list 
            .setTimeRange(startTimeLong, endTimeLong, TimeUnit.MILLISECONDS)
            .enableServerQueries()
            .build();

    Fitness.getHistoryClient(context, GoogleSignIn.getLastSignedInAccount(context))
           .readData(readRequest)
           .addOnSuccessListener()
           .addOnFailureListener();

The result you will get several bucket, each bucket is one activity segment. An bucket contain two DataSets. One is step value, another one is calories value. Just like the following:

Bucket 0: activity: still, 05/09 00:00~08:03
-DataSet 0:  
--DataPoint 0: 05/09 08:02~09:03
---Field name: steps, value: 55
-DataSet 1: 
--DataPoint 0: 05/09 00:00~08:03
---Field name: calories, value: 459.41046

Bucket 1: acitvity: walking, 05/09 08:03~08:09
-DataSet 0:
--DataPoint 0: 05/09 08:03~08:04
---Field name: steps, value: 181
-DataSet: 1
--DataPoint 0: 05/09 08:03~08:09
---Field name: calories, value: 20.808548

Bucket 2: activity: in_vehicle, 05/09 08:09~08:48
-DataSet 0:
--DataPoint 0: 05/09 08:33~08:38
---Field name: steps, value: 156
-DataSet 1:
--DataPoint 0: 05/09 08:09~08:48
---Field name: calories, value: 36.633526

Bucket 3: activity: walking, 05/09 08:48~09:12
...
...
...

---

If the result you need if the aggregate value for each type during a duration, you can use bucketByActivityType.

    DataReadRequest readRequest = new DataReadRequest.Builder()
            .aggregate(DataType.TYPE_STEP_COUNT_DELTA, DataType.AGGREGATE_STEP_COUNT_DELTA)
            .aggregate(DataType.TYPE_CALORIES_EXPENDED, DataType.AGGREGATE_CALORIES_EXPENDED)
            .bucketByActivityType( 1, TimeUnit.MINUTES)
            .setTimeRange(startTimeLong, endTimeLong, TimeUnit.MILLISECONDS)
            .enableServerQueries()
            .build();

It will return the total value for each type during your TimeRange.

Bucket 0: activity: still, 05/09 00:00 ~ 05/16 18:42
-DataSet 0:  
--DataPoint 0: 05/09 00:00 ~ 05/16 18:42
---Field name: calories, value: 9984.753
-DataSet 1: 
--DataPoint 0: 05/09 08:02 ~ 05/16 17:24
---Field name: steps, value: 6499

Bucket 1: acitvity: walking, 05/09 08:03 ~ 05/16 13:28
-DataSet 0:
--DataPoint 0: 05/09 08:03 ~ 05/16 13:28
---Field name: calories, value: 1214.7212
-DataSet: 1
--DataPoint 0: 05/09 08:03 ~ 05/16 13:20
---Field name: steps, value: 12750

Bucket 2: activity: in_vehicle, 05/09 08:09 ~ 05/09 08:48
-DataSet 0:
--DataPoint 0: 05/09 08:09 ~ 05/09 08:48
---Field name: calories, value: 36.633526
-DataSet 1:
--DataPoint 0: 05/09 08:33 ~ 05/09 08:38
---Field name: steps, value: 156

Bucket 3: activity: aerobics, 05/11 18:00 ~ 05/11 18:59
...
...
...

Hope this helps you.

---

--- 2018/05/30 update ---

In addOnSuccessListener() you can add a Listener like this:

    new OnSuccessListener<DataReadResponse>() {
                @Override
                public void onSuccess(DataReadResponse dataReadResult) {
                    String returnValue = "";

                    if (dataReadResult.getBuckets().size() > 0) {
                        for (int i = 0; i < dataReadResult.getBuckets().size(); i++) {
                            returnValue += "\n\n" + i + " ---new bucket-- activity: " + dataReadResult.getBuckets().get(i).getActivity() + "\n"
                                    + getNoYearDateWithTimeFormat().format(dataReadResult.getBuckets().get(i).getStartTime(TimeUnit.MILLISECONDS)) + "~"
                                    + getNoYearDateWithTimeFormat().format(dataReadResult.getBuckets().get(i).getEndTime(TimeUnit.MILLISECONDS));

                            for (int j = 0; j < dataReadResult.getBuckets().get(i).getDataSets().size(); j++) {
                                returnValue += "\n-data set " + j + "-package: " + dataReadResult.getBuckets().get(i).getDataSets().get(j).getDataSource().getAppPackageName() + ", stream: " + dataReadResult.getBuckets().get(i).getDataSets().get(j).getDataSource().getStreamIdentifier();
                                returnValue += handleDailyRecordInDataSet(dataReadResult.getBuckets().get(i).getDataSets().get(j));
                            }
                        }
                    }


                    if (fitnessListener != null) {
                        fitnessListener.readActionDone(null, returnValue);
                    }
                }
            }

In each bucket you can get several DataSet per data type.

private String handleDailyRecordInDataSet(DataSet dataSet) {
    String returnValue = "";

    for (DataPoint dataPoint : dataSet.getDataPoints()) {
        long startTime = dataPoint.getStartTime(TimeUnit.MILLISECONDS);
        long endTime = dataPoint.getEndTime(TimeUnit.MILLISECONDS);
        String tempValue = "DataPoint start: " + getDateWithTimeFormat().format(new Date(startTime))
                + ", end=" + getDateWithTimeFormat().format(new Date(endTime))
                + ", type=" + dataPoint.getDataType().getName() + ",  package=" + dataPoint.getDataSource().getAppPackageName() + ", stream=" + dataPoint.getDataSource().getStreamIdentifier();
        if (dataPoint.getDataSource().getDevice() != null) {
            tempValue += "\nManufacturer=" + dataPoint.getDataSource().getDevice().getManufacturer() + ", model=" + dataPoint.getDataSource().getDevice().getModel()
                    + ", uid: " + dataPoint.getDataSource().getDevice().getUid() + ", type=" + dataPoint.getDataSource().getDevice().getType();
        }
        tempValue += "\norigin source: package=" + dataPoint.getOriginalDataSource().getAppPackageName() + ", stream=" + dataPoint.getOriginalDataSource().getStreamIdentifier();
        if (dataPoint.getOriginalDataSource().getDevice() != null) {
            tempValue += "\nManufacturer=" + dataPoint.getOriginalDataSource().getDevice().getManufacturer() + ", model=" + dataPoint.getOriginalDataSource().getDevice().getModel()
                    + ", uid: " + dataPoint.getOriginalDataSource().getDevice().getUid() + ", type=" + dataPoint.getOriginalDataSource().getDevice().getType();
        }

        returnValue += ("\n\n" + tempValue);
        for (Field field : dataPoint.getDataType().getFields()) {
            String fieldValue = "Field name: " + field.getName() + ", value: " + dataPoint.getValue(field);

            returnValue += ("\n" + fieldValue);
        }
    }

    return returnValue;
}