X-Git-Url: https://git.octo.it/?p=kraftakt.git;a=blobdiff_plain;f=gfit%2Fgfit.go;h=3e406b4d2824c6d3712ef7d21f2b210c11868b32;hp=ac4815efb59e6fe1c464430e040ba648f1910f70;hb=a05bb612a8b3c7b66fc6f841040c69b87350e63e;hpb=0b5931467b50004d313104794a2be450c6413582 diff --git a/gfit/gfit.go b/gfit/gfit.go index ac4815e..3e406b4 100644 --- a/gfit/gfit.go +++ b/gfit/gfit.go @@ -7,7 +7,8 @@ import ( "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" @@ -17,42 +18,47 @@ import ( ) const ( - csrfToken = "@CSRFTOKEN@" - userID = "me" + userID = "me" - dataTypeNameCalories = "com.google.calories.expended" - dataTypeNameSteps = "com.google.step_count.delta" + 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@", - Endpoint: oauth2google.Endpoint, - RedirectURL: "https://fitbit-gfit-sync.appspot.com/google/grant", - Scopes: []string{ - fitness.FitnessActivityWriteScope, - fitness.FitnessBodyWriteScope, - }, +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, + }, + } +} + +func AuthURL(ctx context.Context, u *app.User) string { + return oauthConfig().AuthCodeURL(u.Sign("Google"), oauth2.AccessTypeOffline) } func Application(ctx context.Context) *fitness.Application { return &fitness.Application{ - Name: "Fitbit to Google Fit sync", + Name: "Kraftakt", Version: appengine.VersionID(ctx), DetailsUrl: "", // optional } } -func AuthURL() string { - return oauthConfig.AuthCodeURL(csrfToken, oauth2.AccessTypeOffline) -} - 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 } @@ -62,10 +68,11 @@ func ParseToken(ctx context.Context, r *http.Request, u *app.User) error { 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 } @@ -77,14 +84,19 @@ func NewClient(ctx context.Context, u *app.User) (*Client, error) { 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, - "@PROJECT_NUMBER@", // FIXME + app.Config.ProjectNumber, } if dev := dataSource.Device; dev != nil { @@ -99,6 +111,10 @@ func DataStreamID(dataSource *fitness.DataSource) string { } } + if dataSource.DataStreamName != "" { + fields = append(fields, dataSource.DataStreamName) + } + return strings.Join(fields, ":") } @@ -111,13 +127,23 @@ func (c *Client) DataSourceCreate(ctx context.Context, dataSource *fitness.DataS } return DataStreamID(dataSource), nil } - log.Errorf(ctx, "c.Service.Users.DataSources.Create() = (%+v, %v)", res, err) - return "", err + return "", fmt.Errorf("DataSources.Create(%q) = %v", DataStreamID(dataSource), err) } + return res.DataStreamId, nil } -func (c *Client) DataSetPatch(ctx context.Context, dataSourceID string, points []*fitness.DataPoint) error { +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 { @@ -138,106 +164,58 @@ func (c *Client) DataSetPatch(ctx context.Context, dataSourceID string, points [ _, err := c.Service.Users.DataSources.Datasets.Patch(userID, dataSourceID, datasetID, dataset).Context(ctx).Do() if err != nil { - log.Errorf(ctx, "c.Service.Users.DataSources.Datasets.Patch() = %v", err) + log.Errorf(ctx, "DataSources.Datasets.Patch(%q, %q) = %v", dataSourceID, datasetID, err) return err } return nil } -func (c *Client) Steps(ctx context.Context, startTime, endTime time.Time) (int, time.Time, error) { - dataSourceID := DataStreamID(&fitness.DataSource{ - Type: "raw", - DataType: &fitness.DataType{ - Name: dataTypeNameSteps, +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", }, - }) - 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 { - log.Errorf(ctx, "c.Service.Users.DataSources.Datasets.Get(%q, %q) = %v", - dataSourceID, datasetID, err) - return 0, time.Time{}, err - } - - if len(res.Point) == 0 { - return 0, startTime, nil - } - - steps := 0 - maxEndTime := startTime - for _, p := range res.Point { - pointEndTime := time.Unix(0, p.EndTimeNanos).In(startTime.Location()) - value := p.Value[0].IntVal - - steps += int(value) - if maxEndTime.Before(pointEndTime) { - maxEndTime = pointEndTime - } - } - - log.Debugf(ctx, "Google Fit has data points until %v: %d steps", maxEndTime, steps) - return steps, maxEndTime, nil + &fitness.Value{ + FpVal: meters, + }, + startOfDay) } func (c *Client) SetSteps(ctx context.Context, totalSteps int, startOfDay time.Time) error { - if totalSteps == 0 { - return nil - } - - dataSourceID, err := c.DataSourceCreate(ctx, &fitness.DataSource{ - Application: Application(ctx), - DataStreamName: "", // "daily summary"? - DataType: &fitness.DataType{ - Field: []*fitness.DataTypeField{ - &fitness.DataTypeField{ - Format: "integer", - Name: "steps", + return c.updateIncremental(ctx, + &fitness.DataSource{ + Application: Application(ctx), + DataType: &fitness.DataType{ + Field: []*fitness.DataTypeField{ + &fitness.DataTypeField{ + Name: "steps", + Format: "integer", + }, }, + Name: dataTypeNameSteps, }, - Name: dataTypeNameSteps, + Name: "Step Count", + Type: "raw", }, - Name: "Step Count", - Type: "raw", - // Type: "derived", - }) - if err != nil { - return err - } - - endOfDay := startOfDay.Add(24 * time.Hour).Add(-1 * time.Nanosecond) - prevSteps, startTime, err := c.Steps(ctx, startOfDay, endOfDay) - if totalSteps == prevSteps { - return nil - } - diffSteps := totalSteps - prevSteps - if diffSteps < 0 { - log.Warningf(ctx, "c.Steps returned %d steps, but current count is %d", prevSteps, totalSteps) - diffSteps = totalSteps - } - endTime := endOfDay - if now := time.Now().In(startOfDay.Location()); now.Before(endOfDay) { - endTime = now - } - log.Debugf(ctx, "new data point: %v-%v %d steps", startTime, endTime, diffSteps) - - return c.DataSetPatch(ctx, dataSourceID, []*fitness.DataPoint{ - &fitness.DataPoint{ - ComputationTimeMillis: time.Now().UnixNano() / 1000000, - DataTypeName: dataTypeNameSteps, - StartTimeNanos: startTime.UnixNano(), - EndTimeNanos: endTime.UnixNano(), - Value: []*fitness.Value{ - &fitness.Value{ - IntVal: int64(diffSteps), - }, - }, + &fitness.Value{ + IntVal: int64(totalSteps), }, - }) + startOfDay) } func (c *Client) SetCalories(ctx context.Context, totalCalories float64, startOfDay time.Time) error { - return c.updateCumulative(ctx, + return c.updateIncremental(ctx, &fitness.DataSource{ Application: Application(ctx), DataType: &fitness.DataType{ @@ -258,7 +236,81 @@ func (c *Client) SetCalories(ctx context.Context, totalCalories float64, startOf startOfDay) } -func (c *Client) updateCumulative(ctx context.Context, dataSource *fitness.DataSource, rawValue *fitness.Value, startOfDay time.Time) error { +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 { @@ -279,36 +331,39 @@ func (c *Client) updateCumulative(ctx context.Context, dataSource *fitness.DataS dataSource.DataStreamId = dataSourceID endOfDay := startOfDay.Add(24 * time.Hour).Add(-1 * time.Nanosecond) - currValue, startTime, err := c.readCumulative(ctx, dataSource, startOfDay, endOfDay) + 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 rawValue.IntVal == currValue.IntVal { + if storedValue.IntVal > rawValue.IntVal { + log.Warningf(ctx, "stored value (%d) is larger than new value (%d)", storedValue.IntVal, rawValue.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 + if rawValue.IntVal == storedValue.IntVal { + return nil } + diffValue.IntVal = rawValue.IntVal - storedValue.IntVal } else { // if dataSource.DataType.Field[0].Format == "floatPoint" - if rawValue.FpVal == currValue.FpVal { + if storedValue.FpVal > rawValue.FpVal { + log.Warningf(ctx, "stored value (%g) is larger than new value (%g)", storedValue.FpVal, rawValue.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 + 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, "new cumulative data point: [%v--%v] %+v", startTime, endTime, diffValue) + log.Debugf(ctx, "add cumulative data %s until %v: %+v", dataSource.DataStreamId, endTime, diffValue) - return c.DataSetPatch(ctx, dataSource.DataStreamId, []*fitness.DataPoint{ + return c.DatasetPatch(ctx, dataSource.DataStreamId, []*fitness.DataPoint{ &fitness.DataPoint{ DataTypeName: dataSource.DataType.Name, StartTimeNanos: startTime.UnixNano(), @@ -318,22 +373,20 @@ func (c *Client) updateCumulative(ctx context.Context, dataSource *fitness.DataS }) } -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() +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 { - 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 { + 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 res.Point { + for _, p := range dataset.Point { switch f := dataSource.DataType.Field[0].Format; f { case "integer": sum.IntVal += p.Value[0].IntVal @@ -349,6 +402,165 @@ func (c *Client) readCumulative(ctx context.Context, dataSource *fitness.DataSou } } - log.Debugf(ctx, "Google Fit has data points for %s until %v: %+v", dataSource.DataStreamId, maxEndTime, sum) + 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) +}