"strings"
"time"
- "github.com/octo/gfitsync/app"
+ "github.com/octo/kraftakt/app"
+ "github.com/octo/kraftakt/fitbit"
"golang.org/x/oauth2"
oauth2google "golang.org/x/oauth2/google"
fitness "google.golang.org/api/fitness/v1"
const (
csrfToken = "@CSRFTOKEN@"
userID = "me"
+
+ dataTypeNameCalories = "com.google.calories.expended"
+ dataTypeNameDistance = "com.google.distance.delta"
+ dataTypeNameSteps = "com.google.step_count.delta"
+ dataTypeNameHeartrate = "com.google.heart_rate.summary"
+ dataTypeNameActivitySegment = "com.google.activity.segment"
)
var oauthConfig = &oauth2.Config{
- ClientID: "@GOOGLE_CLIENT_ID@",
- ClientSecret: "@GOOGLE_CLIENT_SECRET@",
+ ClientID: app.Config.GoogleClientID,
+ ClientSecret: app.Config.GoogleClientSecret,
Endpoint: oauth2google.Endpoint,
- RedirectURL: "https://fitbit-gfit-sync.appspot.com/google/grant",
+ RedirectURL: "https://kraftakt.octo.it/google/grant",
Scopes: []string{
fitness.FitnessActivityWriteScope,
fitness.FitnessBodyWriteScope,
+ fitness.FitnessLocationWriteScope,
},
}
func Application(ctx context.Context) *fitness.Application {
return &fitness.Application{
- Name: "Fitbit to Google Fit sync",
+ Name: "Kraftakt",
Version: appengine.VersionID(ctx),
DetailsUrl: "", // optional
}
fields := []string{
dataSource.Type,
dataSource.DataType.Name,
- "@PROJECT_NUMBER@", // FIXME
+ app.Config.ProjectNumber,
}
if dev := dataSource.Device; dev != nil {
}
}
+ if dataSource.DataStreamName != "" {
+ fields = append(fields, dataSource.DataStreamName)
+ }
+
return strings.Join(fields, ":")
}
}
return DataStreamID(dataSource), nil
}
- log.Errorf(ctx, "c.Service.Users.DataSources.Create() = (%+v, %v)", res, err)
+ log.Errorf(ctx, "c.Service.Users.DataSources.Create(%q) = (%+v, %v)", dataSource, res, err)
return "", err
}
return res.DataStreamId, nil
return nil
}
-func (c *Client) SetSteps(ctx context.Context, steps int, date time.Time) error {
- const dataTypeName = "com.google.step_count.delta"
+func (c *Client) SetDistance(ctx context.Context, meters float64, startOfDay time.Time) error {
+ return c.updateCumulative(ctx,
+ &fitness.DataSource{
+ Application: Application(ctx),
+ DataType: &fitness.DataType{
+ Field: []*fitness.DataTypeField{
+ &fitness.DataTypeField{
+ Name: "distance",
+ Format: "floatPoint",
+ },
+ },
+ Name: dataTypeNameDistance,
+ },
+ Name: "Distance covered",
+ Type: "raw",
+ },
+ &fitness.Value{
+ FpVal: meters,
+ },
+ startOfDay)
+}
+
+func (c *Client) SetSteps(ctx context.Context, totalSteps int, startOfDay time.Time) error {
+ return c.updateCumulative(ctx,
+ &fitness.DataSource{
+ Application: Application(ctx),
+ DataType: &fitness.DataType{
+ Field: []*fitness.DataTypeField{
+ &fitness.DataTypeField{
+ Name: "steps",
+ Format: "integer",
+ },
+ },
+ Name: dataTypeNameSteps,
+ },
+ Name: "Step Count",
+ Type: "raw",
+ },
+ &fitness.Value{
+ IntVal: int64(totalSteps),
+ },
+ startOfDay)
+}
+
+func (c *Client) SetCalories(ctx context.Context, totalCalories float64, startOfDay time.Time) error {
+ return c.updateCumulative(ctx,
+ &fitness.DataSource{
+ Application: Application(ctx),
+ DataType: &fitness.DataType{
+ Field: []*fitness.DataTypeField{
+ &fitness.DataTypeField{
+ Name: "calories",
+ Format: "floatPoint",
+ },
+ },
+ Name: dataTypeNameCalories,
+ },
+ Name: "Calories expended",
+ Type: "raw",
+ },
+ &fitness.Value{
+ FpVal: totalCalories,
+ },
+ startOfDay)
+}
+
+type Activity struct {
+ Start time.Time
+ End time.Time
+ Type int64
+}
- dataSourceID, err := c.DataSourceCreate(ctx, &fitness.DataSource{
- Application: Application(ctx),
- DataStreamId: "", // COMPUTED
- DataStreamName: "", // "daily summary"?
+func (a Activity) String() string {
+ return fmt.Sprintf("%s-%s %d", a.Start.Format("15:04:05"), a.End.Format("15:04:05"), a.Type)
+}
+
+func (c *Client) SetActivities(ctx context.Context, activities []Activity, startOfDay time.Time) error {
+ if len(activities) == 0 {
+ return nil
+ }
+
+ dataStreamID, err := c.DataSourceCreate(ctx, &fitness.DataSource{
+ Application: Application(ctx),
DataType: &fitness.DataType{
Field: []*fitness.DataTypeField{
&fitness.DataTypeField{
+ Name: "activity",
Format: "integer",
- Name: "steps",
},
},
- Name: dataTypeName,
+ Name: dataTypeNameActivitySegment,
},
- Name: "Step Count",
Type: "raw",
})
if err != nil {
return err
}
- return c.DataSetPatch(ctx, dataSourceID, []*fitness.DataPoint{
+ endOfDay := startOfDay.Add(24 * time.Hour).Add(-1 * time.Nanosecond)
+
+ datasetID := fmt.Sprintf("%d-%d", startOfDay.UnixNano(), endOfDay.UnixNano())
+ res, err := c.Service.Users.DataSources.Datasets.Get(userID, dataStreamID, datasetID).Context(ctx).Do()
+ if err != nil {
+ log.Errorf(ctx, "c.Service.Users.DataSources.Datasets.Get(%q, %q) = %v", dataStreamID, datasetID, err)
+ return err
+ }
+
+ var dataPoints []*fitness.DataPoint
+Next:
+ for _, a := range activities {
+ startTimeNanos := a.Start.UnixNano()
+ endTimeNanos := a.End.UnixNano()
+
+ for _, p := range res.Point {
+ if p.StartTimeNanos == startTimeNanos && p.EndTimeNanos == endTimeNanos && p.Value[0].IntVal == a.Type {
+ log.Debugf(ctx, "activity %s already stored in Google Fit", a)
+ continue Next
+ }
+ }
+
+ log.Debugf(ctx, "activity %s will be added to Google Fit", a)
+ dataPoints = append(dataPoints, &fitness.DataPoint{
+ DataTypeName: dataTypeNameActivitySegment,
+ StartTimeNanos: startTimeNanos,
+ EndTimeNanos: endTimeNanos,
+ Value: []*fitness.Value{
+ &fitness.Value{IntVal: a.Type},
+ },
+ })
+ }
+
+ if len(dataPoints) == 0 {
+ return nil
+ }
+
+ return c.DataSetPatch(ctx, dataStreamID, dataPoints)
+}
+
+func (c *Client) updateCumulative(ctx context.Context, dataSource *fitness.DataSource, rawValue *fitness.Value, startOfDay time.Time) error {
+ switch f := dataSource.DataType.Field[0].Format; f {
+ case "integer":
+ if rawValue.IntVal == 0 {
+ return nil
+ }
+ case "floatPoint":
+ if rawValue.FpVal == 0 {
+ return nil
+ }
+ default:
+ return fmt.Errorf("unexpected data type field format %q", f)
+ }
+
+ dataSourceID, err := c.DataSourceCreate(ctx, dataSource)
+ if err != nil {
+ return err
+ }
+ dataSource.DataStreamId = dataSourceID
+
+ endOfDay := startOfDay.Add(24 * time.Hour).Add(-1 * time.Nanosecond)
+ currValue, startTime, err := c.readCumulative(ctx, dataSource, startOfDay, endOfDay)
+ if err != nil {
+ return err
+ }
+
+ var diffValue fitness.Value
+ if dataSource.DataType.Field[0].Format == "integer" {
+ if rawValue.IntVal == currValue.IntVal {
+ return nil
+ }
+ diffValue.IntVal = rawValue.IntVal - currValue.IntVal
+ if diffValue.IntVal < 0 {
+ log.Warningf(ctx, "stored value (%d) is larger than new value (%d); assuming count was reset", currValue.IntVal, rawValue.IntVal)
+ diffValue.IntVal = rawValue.IntVal
+ }
+ } else { // if dataSource.DataType.Field[0].Format == "floatPoint"
+ if rawValue.FpVal == currValue.FpVal {
+ return nil
+ }
+ diffValue.FpVal = rawValue.FpVal - currValue.FpVal
+ if diffValue.FpVal < 0 {
+ log.Warningf(ctx, "stored value (%g) is larger than new value (%g); assuming count was reset", currValue.FpVal, rawValue.FpVal)
+ diffValue.FpVal = rawValue.FpVal
+ }
+ }
+
+ endTime := endOfDay
+ if now := time.Now().In(startOfDay.Location()); now.Before(endOfDay) {
+ endTime = now
+ }
+ log.Debugf(ctx, "add cumulative data %s until %v: %+v", dataSource.DataStreamId, endTime, diffValue)
+
+ return c.DataSetPatch(ctx, dataSource.DataStreamId, []*fitness.DataPoint{
&fitness.DataPoint{
- ComputationTimeMillis: time.Now().UnixNano() / 1000000,
- DataTypeName: dataTypeName,
- StartTimeNanos: date.UnixNano(),
- EndTimeNanos: date.Add(24 * time.Hour).Add(-1 * time.Nanosecond).UnixNano(),
+ DataTypeName: dataSource.DataType.Name,
+ StartTimeNanos: startTime.UnixNano(),
+ EndTimeNanos: endTime.UnixNano(),
+ Value: []*fitness.Value{&diffValue},
+ },
+ })
+}
+
+func (c *Client) readCumulative(ctx context.Context, dataSource *fitness.DataSource, startTime, endTime time.Time) (*fitness.Value, 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 {
+ log.Debugf(ctx, "read cumulative data %s until %v: []", dataSource.DataStreamId, endTime)
+ return &fitness.Value{}, startTime, nil
+ }
+
+ var sum fitness.Value
+ maxEndTime := startTime
+ for _, p := range res.Point {
+ switch f := dataSource.DataType.Field[0].Format; f {
+ case "integer":
+ sum.IntVal += p.Value[0].IntVal
+ case "floatPoint":
+ sum.FpVal += p.Value[0].FpVal
+ default:
+ return nil, time.Time{}, fmt.Errorf("unexpected data type field format %q", f)
+ }
+
+ pointEndTime := time.Unix(0, p.EndTimeNanos).In(startTime.Location())
+ if maxEndTime.Before(pointEndTime) {
+ maxEndTime = pointEndTime
+ }
+ }
+
+ 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{
- IntVal: int64(steps),
+ 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