"time"
"github.com/octo/gfitsync/app"
+ "github.com/octo/gfitsync/fitbit"
"golang.org/x/oauth2"
oauth2google "golang.org/x/oauth2/google"
fitness "google.golang.org/api/fitness/v1"
csrfToken = "@CSRFTOKEN@"
userID = "me"
- dataTypeNameCalories = "com.google.calories.expended"
- dataTypeNameSteps = "com.google.step_count.delta"
+ dataTypeNameCalories = "com.google.calories.expended"
+ dataTypeNameSteps = "com.google.step_count.delta"
+ dataTypeNameHeartrate = "com.google.heart_rate.summary"
)
var oauthConfig = &oauth2.Config{
log.Debugf(ctx, "read cumulative data %s until %v: %+v", dataSource.DataStreamId, maxEndTime, sum)
return &sum, maxEndTime, nil
}
+
+type heartRateDuration struct {
+ Min int
+ Max int
+ Duration time.Duration
+}
+
+type heartRateDurations []*heartRateDuration
+
+func (res heartRateDurations) find(min, max int) (*heartRateDuration, bool) {
+ for _, d := range res {
+ if d.Min != min || d.Max != max {
+ continue
+ }
+ return d, true
+ }
+
+ return nil, false
+}
+
+func (c *Client) heartRate(ctx context.Context, dataSource *fitness.DataSource, startTime, endTime time.Time) (heartRateDurations, time.Time, error) {
+ datasetID := fmt.Sprintf("%d-%d", startTime.UnixNano(), endTime.UnixNano())
+
+ res, err := c.Service.Users.DataSources.Datasets.Get(userID, dataSource.DataStreamId, datasetID).Context(ctx).Do()
+ if err != nil {
+ log.Errorf(ctx, "c.Service.Users.DataSources.Datasets.Get(%q, %q) = %v", dataSource.DataStreamId, datasetID, err)
+ return nil, time.Time{}, err
+ }
+
+ if len(res.Point) == 0 {
+ return nil, startTime, nil
+ }
+
+ var results heartRateDurations
+ maxEndTime := startTime
+ for _, p := range res.Point {
+ max := int(p.Value[1].FpVal)
+ min := int(p.Value[2].FpVal)
+ duration := time.Unix(0, p.EndTimeNanos).Sub(time.Unix(0, p.StartTimeNanos))
+
+ if d, ok := results.find(min, max); ok {
+ d.Duration += duration
+ } else {
+ results = append(results, &heartRateDuration{
+ Min: min,
+ Max: max,
+ Duration: duration,
+ })
+ }
+
+ pointEndTime := time.Unix(0, p.EndTimeNanos).In(startTime.Location())
+ if maxEndTime.Before(pointEndTime) {
+ maxEndTime = pointEndTime
+ }
+ }
+
+ return results, maxEndTime, nil
+}
+
+func (c *Client) SetHeartRate(ctx context.Context, totalDurations []fitbit.HeartRateZone, restingHeartRate int, startOfDay time.Time) error {
+ dataSource := &fitness.DataSource{
+ Application: Application(ctx),
+ DataType: &fitness.DataType{
+ Field: []*fitness.DataTypeField{
+ &fitness.DataTypeField{
+ Name: "average",
+ Format: "floatPoint",
+ },
+ &fitness.DataTypeField{
+ Name: "max",
+ Format: "floatPoint",
+ },
+ &fitness.DataTypeField{
+ Name: "min",
+ Format: "floatPoint",
+ },
+ },
+ Name: dataTypeNameHeartrate,
+ },
+ Name: "Heart rate summary",
+ Type: "raw",
+ }
+
+ dataSourceID, err := c.DataSourceCreate(ctx, dataSource)
+ if err != nil {
+ return err
+ }
+ dataSource.DataStreamId = dataSourceID
+
+ endOfDay := startOfDay.Add(24 * time.Hour).Add(-1 * time.Nanosecond)
+ prevDurations, startTime, err := c.heartRate(ctx, dataSource, startOfDay, endOfDay)
+
+ // calculate the difference between the durations mentioned in
+ // totalDurations and prevDurations and store it in diffDurations.
+ var diffDurations heartRateDurations
+ for _, d := range totalDurations {
+ total := time.Duration(d.Minutes) * time.Minute
+
+ var prev time.Duration
+ if res, ok := prevDurations.find(d.Min, d.Max); ok {
+ prev = res.Duration
+ }
+
+ diff := total - prev
+ if diff < 0 {
+ diff = total
+ }
+
+ if res, ok := diffDurations.find(d.Min, d.Max); ok {
+ res.Duration += diff
+ } else {
+ diffDurations = append(diffDurations, &heartRateDuration{
+ Min: d.Min,
+ Max: d.Max,
+ Duration: diff,
+ })
+ }
+ }
+
+ // create a fitness.DataPoint for each non-zero duration difference.
+ var dataPoints []*fitness.DataPoint
+ for _, d := range diffDurations {
+ if d.Duration < time.Nanosecond {
+ continue
+ }
+
+ endTime := startTime.Add(d.Duration)
+ if endTime.After(endOfDay) {
+ log.Warningf(ctx, "heart rate durations exceed one day (current end time: %v)", endTime)
+ break
+ }
+
+ average := float64(d.Min+d.Max) / 2.0
+ if d.Min <= restingHeartRate && restingHeartRate <= d.Max {
+ average = float64(restingHeartRate)
+ }
+
+ dataPoints = append(dataPoints, &fitness.DataPoint{
+ DataTypeName: dataSource.DataType.Name,
+ StartTimeNanos: startTime.UnixNano(),
+ EndTimeNanos: endTime.UnixNano(),
+ Value: []*fitness.Value{
+ &fitness.Value{
+ FpVal: average,
+ },
+ &fitness.Value{
+ FpVal: float64(d.Max),
+ },
+ &fitness.Value{
+ FpVal: float64(d.Min),
+ },
+ },
+ })
+
+ startTime = endTime
+ }
+
+ if len(dataPoints) == 0 {
+ return nil
+ }
+ return c.DataSetPatch(ctx, dataSource.DataStreamId, dataPoints)
+}
projects / kraftakt.git / blobdiff