Created
August 18, 2020 17:48
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| /** | |
| * For more than simple apps this is sufficient, larger apps the actual data fetch would | |
| * be through a repository or a usecase class | |
| */ | |
| fun fetchData() { | |
| val cal = Calendar.getInstance(); | |
| cal.setTime(Date()); | |
| val endTime = cal.getTimeInMillis (); | |
| cal.add(Calendar.DATE, -14); | |
| val startTime = cal.getTimeInMillis (); | |
| val ds= DataSource.Builder() | |
| .setAppPackageName("com.google.android.gms") | |
| .setDataType(DataType.TYPE_STEP_COUNT_DELTA) | |
| .setType(DataSource.TYPE_DERIVED) | |
| .setStreamName("estimated_steps") | |
| .build() | |
| val readRequest = DataReadRequest.Builder() | |
| .aggregate(ds, DataType.AGGREGATE_STEP_COUNT_DELTA) | |
| .setTimeRange(startTime, endTime, TimeUnit.MILLISECONDS) | |
| .bucketByTime(1, TimeUnit.DAYS) | |
| .build(); | |
| Fitness.getHistoryClient(FitApp.ctx, account) | |
| .readData(readRequest) | |
| .addOnSuccessListener {dataResponse:DataReadResponse -> | |
| //spawn a coroutine to stay off of main thread | |
| viewModelScope.launch(Dispatchers.IO) { | |
| val stepField = DataType.AGGREGATE_STEP_COUNT_DELTA.fields[0] | |
| //filter only days that have actual data so there won't be 0s in the list | |
| val dateStepsList = | |
| dataResponse.buckets.filter { bucket -> !(bucket.dataSets[0].dataPoints.isEmpty()) } | |
| .map { bucket -> | |
| val steps = | |
| bucket.dataSets[0].dataPoints[0].getValue(stepField).asInt() | |
| val date = Date(bucket.getStartTime(TimeUnit.MILLISECONDS)) | |
| StepData(date, steps) | |
| } | |
| liveData.postValue(State.Content(dateStepsList)) | |
| } | |
| } | |
| .addOnFailureListener{ e:Exception -> | |
| liveData.value = State.Error(e) | |
| } | |
| } |
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