"context"
"fmt"
"net/http"
+ "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"
+ "google.golang.org/api/googleapi"
+ "google.golang.org/appengine"
+ "google.golang.org/appengine/log"
)
-var oauthConfig = &oauth2.Config{
- ClientID: "@GOOGLE_CLIENT_ID@",
- ClientSecret: "@GOOGLE_CLIENT_SECRET@",
- Endpoint: oauth2google.Endpoint,
- RedirectURL: "https://fitbit-gfit-sync.appspot.com/google/grant",
- Scopes: []string{
- fitness.FitnessActivityWriteScope,
- fitness.FitnessBodyWriteScope,
- },
+const (
+ 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"
+)
+
+func oauthConfig() *oauth2.Config {
+ return &oauth2.Config{
+ ClientID: app.Config.GoogleClientID,
+ ClientSecret: app.Config.GoogleClientSecret,
+ Endpoint: oauth2google.Endpoint,
+ RedirectURL: "https://kraftakt.octo.it/google/grant",
+ Scopes: []string{
+ fitness.FitnessActivityWriteScope,
+ fitness.FitnessBodyWriteScope,
+ fitness.FitnessLocationWriteScope,
+ },
+ }
}
-const csrfToken = "@CSRFTOKEN@"
+func AuthURL(ctx context.Context, u *app.User) string {
+ return oauthConfig().AuthCodeURL(u.Sign("Google"), oauth2.AccessTypeOffline)
+}
-func AuthURL() string {
- return oauthConfig.AuthCodeURL(csrfToken, oauth2.AccessTypeOffline)
+func Application(ctx context.Context) *fitness.Application {
+ return &fitness.Application{
+ Name: "Kraftakt",
+ Version: appengine.VersionID(ctx),
+ DetailsUrl: "", // optional
+ }
}
func ParseToken(ctx context.Context, r *http.Request, u *app.User) error {
- if state := r.FormValue("state"); state != csrfToken {
+ if state := r.FormValue("state"); state != u.Sign("Google") {
return fmt.Errorf("invalid state parameter: %q", state)
}
- tok, err := oauthConfig.Exchange(ctx, r.FormValue("code"))
+ tok, err := oauthConfig().Exchange(ctx, r.FormValue("code"))
if err != nil {
return err
}
type Client struct {
*fitness.Service
+ appUser *app.User
}
func NewClient(ctx context.Context, u *app.User) (*Client, error) {
- c, err := u.OAuthClient(ctx, "Google", oauthConfig)
+ c, err := u.OAuthClient(ctx, "Google", oauthConfig())
if err != nil {
return nil, err
}
return &Client{
Service: service,
+ appUser: u,
}, nil
}
+
+func (c *Client) DeleteToken(ctx context.Context) error {
+ return c.appUser.DeleteToken(ctx, "Google")
+}
+
+func DataStreamID(dataSource *fitness.DataSource) string {
+ fields := []string{
+ dataSource.Type,
+ dataSource.DataType.Name,
+ app.Config.ProjectNumber,
+ }
+
+ if dev := dataSource.Device; dev != nil {
+ if dev.Manufacturer != "" {
+ fields = append(fields, dev.Manufacturer)
+ }
+ if dev.Model != "" {
+ fields = append(fields, dev.Model)
+ }
+ if dev.Uid != "" {
+ fields = append(fields, dev.Uid)
+ }
+ }
+
+ if dataSource.DataStreamName != "" {
+ fields = append(fields, dataSource.DataStreamName)
+ }
+
+ return strings.Join(fields, ":")
+}
+
+func (c *Client) DataSourceCreate(ctx context.Context, dataSource *fitness.DataSource) (string, error) {
+ res, err := c.Service.Users.DataSources.Create(userID, dataSource).Context(ctx).Do()
+ if err != nil {
+ if gerr, ok := err.(*googleapi.Error); ok && gerr.Code == http.StatusConflict {
+ if dataSource.DataStreamId != "" {
+ return dataSource.DataStreamId, nil
+ }
+ return DataStreamID(dataSource), nil
+ }
+ return "", fmt.Errorf("DataSources.Create(%q) = %v", DataStreamID(dataSource), err)
+ }
+
+ return res.DataStreamId, nil
+}
+
+func (c *Client) DatasetGet(ctx context.Context, dataSourceID string, startTime, endTime time.Time) (*fitness.Dataset, error) {
+ datasetID := fmt.Sprintf("%d-%d", startTime.UnixNano(), endTime.UnixNano())
+
+ res, err := c.Service.Users.DataSources.Datasets.Get(userID, dataSourceID, datasetID).Context(ctx).Do()
+ if err != nil {
+ return nil, fmt.Errorf("DataSources.Datasets.Get(%q, %q) = %v", dataSourceID, datasetID, err)
+ }
+ return res, nil
+}
+
+func (c *Client) DatasetPatch(ctx context.Context, dataSourceID string, points []*fitness.DataPoint) error {
+ startTimeNanos, endTimeNanos := int64(-1), int64(-1)
+ for _, p := range points {
+ if startTimeNanos == -1 || startTimeNanos > p.StartTimeNanos {
+ startTimeNanos = p.StartTimeNanos
+ }
+ if endTimeNanos == -1 || endTimeNanos < p.EndTimeNanos {
+ endTimeNanos = p.EndTimeNanos
+ }
+ }
+ datasetID := fmt.Sprintf("%d-%d", startTimeNanos, endTimeNanos)
+
+ dataset := &fitness.Dataset{
+ DataSourceId: dataSourceID,
+ MinStartTimeNs: startTimeNanos,
+ MaxEndTimeNs: endTimeNanos,
+ Point: points,
+ }
+
+ _, err := c.Service.Users.DataSources.Datasets.Patch(userID, dataSourceID, datasetID, dataset).Context(ctx).Do()
+ if err != nil {
+ log.Errorf(ctx, "DataSources.Datasets.Patch(%q, %q) = %v", dataSourceID, datasetID, err)
+ return err
+ }
+ return nil
+}
+
+func (c *Client) SetDistance(ctx context.Context, meters float64, startOfDay time.Time) error {
+ return c.updateIncremental(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.updateIncremental(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.updateIncremental(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 string
+}
+
+func (a Activity) String() string {
+ return fmt.Sprintf("%s-%s %q", 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 {
+ log.Debugf(ctx, "SetActivities(): 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: dataTypeNameActivitySegment,
+ },
+ Type: "raw",
+ })
+ if err != nil {
+ return err
+ }
+
+ endOfDay := startOfDay.Add(24 * time.Hour).Add(-1 * time.Nanosecond)
+
+ dataset, err := c.DatasetGet(ctx, dataStreamID, startOfDay, endOfDay)
+ if err != nil {
+ return err
+ }
+
+ var dataPoints []*fitness.DataPoint
+Next:
+ for _, a := range activities {
+ startTimeNanos := a.Start.UnixNano()
+ endTimeNanos := a.End.UnixNano()
+ activityType := ParseFitbitActivity(a.Type)
+
+ for _, p := range dataset.Point {
+ if p.StartTimeNanos == startTimeNanos && p.EndTimeNanos == endTimeNanos && p.Value[0].IntVal == activityType {
+ 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: activityType},
+ },
+ })
+ }
+
+ if len(dataPoints) == 0 {
+ log.Debugf(ctx, "SetActivities(): len(dataPoints) == 0")
+ return nil
+ }
+
+ log.Debugf(ctx, "SetActivities(): calling c.DatasetPatch(%q)", dataStreamID)
+ return c.DatasetPatch(ctx, dataStreamID, dataPoints)
+}
+
+func (c *Client) updateIncremental(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)
+ storedValue, startTime, err := c.readIncremental(ctx, dataSource, startOfDay, endOfDay)
+ if err != nil {
+ return err
+ }
+
+ var diffValue fitness.Value
+ if dataSource.DataType.Field[0].Format == "integer" {
+ if storedValue.IntVal > rawValue.IntVal {
+ log.Warningf(ctx, "stored value (%d) is larger than new value (%d)", storedValue.IntVal, rawValue.IntVal)
+ return nil
+ }
+ if rawValue.IntVal == storedValue.IntVal {
+ return nil
+ }
+ diffValue.IntVal = rawValue.IntVal - storedValue.IntVal
+ } else { // if dataSource.DataType.Field[0].Format == "floatPoint"
+ if storedValue.FpVal > rawValue.FpVal {
+ log.Warningf(ctx, "stored value (%g) is larger than new value (%g)", storedValue.FpVal, rawValue.FpVal)
+ return nil
+ }
+ if rawValue.FpVal == storedValue.FpVal {
+ return nil
+ }
+ diffValue.FpVal = rawValue.FpVal - storedValue.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{
+ DataTypeName: dataSource.DataType.Name,
+ StartTimeNanos: startTime.UnixNano(),
+ EndTimeNanos: endTime.UnixNano(),
+ Value: []*fitness.Value{&diffValue},
+ },
+ })
+}
+
+func (c *Client) readIncremental(ctx context.Context, dataSource *fitness.DataSource, startTime, endTime time.Time) (*fitness.Value, time.Time, error) {
+ dataset, err := c.DatasetGet(ctx, dataSource.DataStreamId, startTime, endTime)
+ if err != nil {
+ return nil, time.Time{}, err
+ }
+
+ if len(dataset.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 dataset.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) {
+ dataset, err := c.DatasetGet(ctx, dataSource.DataStreamId, startTime, endTime)
+ if err != nil {
+ return nil, time.Time{}, err
+ }
+
+ if len(dataset.Point) == 0 {
+ return nil, startTime, nil
+ }
+
+ var results heartRateDurations
+ maxEndTime := startTime
+ for _, p := range dataset.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