10 "github.com/octo/gfitsync/app"
11 "github.com/octo/gfitsync/fitbit"
13 oauth2google "golang.org/x/oauth2/google"
14 fitness "google.golang.org/api/fitness/v1"
15 "google.golang.org/api/googleapi"
16 "google.golang.org/appengine"
17 "google.golang.org/appengine/log"
21 csrfToken = "@CSRFTOKEN@"
24 dataTypeNameCalories = "com.google.calories.expended"
25 dataTypeNameDistance = "com.google.distance.delta"
26 dataTypeNameSteps = "com.google.step_count.delta"
27 dataTypeNameHeartrate = "com.google.heart_rate.summary"
30 var oauthConfig = &oauth2.Config{
31 ClientID: "@GOOGLE_CLIENT_ID@",
32 ClientSecret: "@GOOGLE_CLIENT_SECRET@",
33 Endpoint: oauth2google.Endpoint,
34 RedirectURL: "https://kraftakt.octo.it/google/grant",
36 fitness.FitnessActivityWriteScope,
37 fitness.FitnessBodyWriteScope,
38 fitness.FitnessLocationWriteScope,
42 func Application(ctx context.Context) *fitness.Application {
43 return &fitness.Application{
44 Name: "Fitbit to Google Fit sync",
45 Version: appengine.VersionID(ctx),
46 DetailsUrl: "", // optional
50 func AuthURL() string {
51 return oauthConfig.AuthCodeURL(csrfToken, oauth2.AccessTypeOffline)
54 func ParseToken(ctx context.Context, r *http.Request, u *app.User) error {
55 if state := r.FormValue("state"); state != csrfToken {
56 return fmt.Errorf("invalid state parameter: %q", state)
59 tok, err := oauthConfig.Exchange(ctx, r.FormValue("code"))
64 return u.SetToken(ctx, "Google", tok)
71 func NewClient(ctx context.Context, u *app.User) (*Client, error) {
72 c, err := u.OAuthClient(ctx, "Google", oauthConfig)
77 service, err := fitness.New(c)
87 func DataStreamID(dataSource *fitness.DataSource) string {
90 dataSource.DataType.Name,
91 "@PROJECT_NUMBER@", // FIXME
94 if dev := dataSource.Device; dev != nil {
95 if dev.Manufacturer != "" {
96 fields = append(fields, dev.Manufacturer)
99 fields = append(fields, dev.Model)
102 fields = append(fields, dev.Uid)
106 return strings.Join(fields, ":")
109 func (c *Client) DataSourceCreate(ctx context.Context, dataSource *fitness.DataSource) (string, error) {
110 res, err := c.Service.Users.DataSources.Create(userID, dataSource).Context(ctx).Do()
112 if gerr, ok := err.(*googleapi.Error); ok && gerr.Code == http.StatusConflict {
113 if dataSource.DataStreamId != "" {
114 return dataSource.DataStreamId, nil
116 return DataStreamID(dataSource), nil
118 log.Errorf(ctx, "c.Service.Users.DataSources.Create() = (%+v, %v)", res, err)
121 return res.DataStreamId, nil
124 func (c *Client) DataSetPatch(ctx context.Context, dataSourceID string, points []*fitness.DataPoint) error {
125 startTimeNanos, endTimeNanos := int64(-1), int64(-1)
126 for _, p := range points {
127 if startTimeNanos == -1 || startTimeNanos > p.StartTimeNanos {
128 startTimeNanos = p.StartTimeNanos
130 if endTimeNanos == -1 || endTimeNanos < p.EndTimeNanos {
131 endTimeNanos = p.EndTimeNanos
134 datasetID := fmt.Sprintf("%d-%d", startTimeNanos, endTimeNanos)
136 dataset := &fitness.Dataset{
137 DataSourceId: dataSourceID,
138 MinStartTimeNs: startTimeNanos,
139 MaxEndTimeNs: endTimeNanos,
143 _, err := c.Service.Users.DataSources.Datasets.Patch(userID, dataSourceID, datasetID, dataset).Context(ctx).Do()
145 log.Errorf(ctx, "c.Service.Users.DataSources.Datasets.Patch() = %v", err)
151 func (c *Client) SetDistance(ctx context.Context, meters float64, startOfDay time.Time) error {
152 return c.updateCumulative(ctx,
154 Application: Application(ctx),
155 DataType: &fitness.DataType{
156 Field: []*fitness.DataTypeField{
157 &fitness.DataTypeField{
159 Format: "floatPoint",
162 Name: dataTypeNameDistance,
164 Name: "Distance covered",
173 func (c *Client) SetSteps(ctx context.Context, totalSteps int, startOfDay time.Time) error {
174 return c.updateCumulative(ctx,
176 Application: Application(ctx),
177 DataType: &fitness.DataType{
178 Field: []*fitness.DataTypeField{
179 &fitness.DataTypeField{
184 Name: dataTypeNameSteps,
190 IntVal: int64(totalSteps),
195 func (c *Client) SetCalories(ctx context.Context, totalCalories float64, startOfDay time.Time) error {
196 return c.updateCumulative(ctx,
198 Application: Application(ctx),
199 DataType: &fitness.DataType{
200 Field: []*fitness.DataTypeField{
201 &fitness.DataTypeField{
203 Format: "floatPoint",
206 Name: dataTypeNameCalories,
208 Name: "Calories expended",
212 FpVal: totalCalories,
217 func (c *Client) updateCumulative(ctx context.Context, dataSource *fitness.DataSource, rawValue *fitness.Value, startOfDay time.Time) error {
218 switch f := dataSource.DataType.Field[0].Format; f {
220 if rawValue.IntVal == 0 {
224 if rawValue.FpVal == 0 {
228 return fmt.Errorf("unexpected data type field format %q", f)
231 dataSourceID, err := c.DataSourceCreate(ctx, dataSource)
235 dataSource.DataStreamId = dataSourceID
237 endOfDay := startOfDay.Add(24 * time.Hour).Add(-1 * time.Nanosecond)
238 currValue, startTime, err := c.readCumulative(ctx, dataSource, startOfDay, endOfDay)
240 var diffValue fitness.Value
241 if dataSource.DataType.Field[0].Format == "integer" {
242 if rawValue.IntVal == currValue.IntVal {
245 diffValue.IntVal = rawValue.IntVal - currValue.IntVal
246 if diffValue.IntVal < 0 {
247 log.Warningf(ctx, "stored value (%d) is larger than new value (%d); assuming count was reset", currValue.IntVal, rawValue.IntVal)
248 diffValue.IntVal = rawValue.IntVal
250 } else { // if dataSource.DataType.Field[0].Format == "floatPoint"
251 if rawValue.FpVal == currValue.FpVal {
254 diffValue.FpVal = rawValue.FpVal - currValue.FpVal
255 if diffValue.FpVal < 0 {
256 log.Warningf(ctx, "stored value (%g) is larger than new value (%g); assuming count was reset", currValue.FpVal, rawValue.FpVal)
257 diffValue.FpVal = rawValue.FpVal
262 if now := time.Now().In(startOfDay.Location()); now.Before(endOfDay) {
265 log.Debugf(ctx, "adding cumulative data point: %v-%v %+v", startTime, endTime, diffValue)
267 return c.DataSetPatch(ctx, dataSource.DataStreamId, []*fitness.DataPoint{
269 DataTypeName: dataSource.DataType.Name,
270 StartTimeNanos: startTime.UnixNano(),
271 EndTimeNanos: endTime.UnixNano(),
272 Value: []*fitness.Value{&diffValue},
277 func (c *Client) readCumulative(ctx context.Context, dataSource *fitness.DataSource, startTime, endTime time.Time) (*fitness.Value, time.Time, error) {
278 datasetID := fmt.Sprintf("%d-%d", startTime.UnixNano(), endTime.UnixNano())
280 res, err := c.Service.Users.DataSources.Datasets.Get(userID, dataSource.DataStreamId, datasetID).Context(ctx).Do()
282 log.Errorf(ctx, "c.Service.Users.DataSources.Datasets.Get(%q, %q) = %v", dataSource.DataStreamId, datasetID, err)
283 return nil, time.Time{}, err
286 if len(res.Point) == 0 {
287 return &fitness.Value{}, startTime, nil
290 var sum fitness.Value
291 maxEndTime := startTime
292 for _, p := range res.Point {
293 switch f := dataSource.DataType.Field[0].Format; f {
295 sum.IntVal += p.Value[0].IntVal
297 sum.FpVal += p.Value[0].FpVal
299 return nil, time.Time{}, fmt.Errorf("unexpected data type field format %q", f)
302 pointEndTime := time.Unix(0, p.EndTimeNanos).In(startTime.Location())
303 if maxEndTime.Before(pointEndTime) {
304 maxEndTime = pointEndTime
308 log.Debugf(ctx, "read cumulative data %s until %v: %+v", dataSource.DataStreamId, maxEndTime, sum)
309 return &sum, maxEndTime, nil
312 type heartRateDuration struct {
315 Duration time.Duration
318 type heartRateDurations []*heartRateDuration
320 func (res heartRateDurations) find(min, max int) (*heartRateDuration, bool) {
321 for _, d := range res {
322 if d.Min != min || d.Max != max {
331 func (c *Client) heartRate(ctx context.Context, dataSource *fitness.DataSource, startTime, endTime time.Time) (heartRateDurations, time.Time, error) {
332 datasetID := fmt.Sprintf("%d-%d", startTime.UnixNano(), endTime.UnixNano())
334 res, err := c.Service.Users.DataSources.Datasets.Get(userID, dataSource.DataStreamId, datasetID).Context(ctx).Do()
336 log.Errorf(ctx, "c.Service.Users.DataSources.Datasets.Get(%q, %q) = %v", dataSource.DataStreamId, datasetID, err)
337 return nil, time.Time{}, err
340 if len(res.Point) == 0 {
341 return nil, startTime, nil
344 var results heartRateDurations
345 maxEndTime := startTime
346 for _, p := range res.Point {
347 max := int(p.Value[1].FpVal)
348 min := int(p.Value[2].FpVal)
349 duration := time.Unix(0, p.EndTimeNanos).Sub(time.Unix(0, p.StartTimeNanos))
351 if d, ok := results.find(min, max); ok {
352 d.Duration += duration
354 results = append(results, &heartRateDuration{
361 pointEndTime := time.Unix(0, p.EndTimeNanos).In(startTime.Location())
362 if maxEndTime.Before(pointEndTime) {
363 maxEndTime = pointEndTime
367 return results, maxEndTime, nil
370 func (c *Client) SetHeartRate(ctx context.Context, totalDurations []fitbit.HeartRateZone, restingHeartRate int, startOfDay time.Time) error {
371 dataSource := &fitness.DataSource{
372 Application: Application(ctx),
373 DataType: &fitness.DataType{
374 Field: []*fitness.DataTypeField{
375 &fitness.DataTypeField{
377 Format: "floatPoint",
379 &fitness.DataTypeField{
381 Format: "floatPoint",
383 &fitness.DataTypeField{
385 Format: "floatPoint",
388 Name: dataTypeNameHeartrate,
390 Name: "Heart rate summary",
394 dataSourceID, err := c.DataSourceCreate(ctx, dataSource)
398 dataSource.DataStreamId = dataSourceID
400 endOfDay := startOfDay.Add(24 * time.Hour).Add(-1 * time.Nanosecond)
401 prevDurations, startTime, err := c.heartRate(ctx, dataSource, startOfDay, endOfDay)
403 // calculate the difference between the durations mentioned in
404 // totalDurations and prevDurations and store it in diffDurations.
405 var diffDurations heartRateDurations
406 for _, d := range totalDurations {
407 total := time.Duration(d.Minutes) * time.Minute
409 var prev time.Duration
410 if res, ok := prevDurations.find(d.Min, d.Max); ok {
419 if res, ok := diffDurations.find(d.Min, d.Max); ok {
422 diffDurations = append(diffDurations, &heartRateDuration{
430 // create a fitness.DataPoint for each non-zero duration difference.
431 var dataPoints []*fitness.DataPoint
432 for _, d := range diffDurations {
433 if d.Duration < time.Nanosecond {
437 endTime := startTime.Add(d.Duration)
438 if endTime.After(endOfDay) {
439 log.Warningf(ctx, "heart rate durations exceed one day (current end time: %v)", endTime)
443 average := float64(d.Min+d.Max) / 2.0
444 if d.Min <= restingHeartRate && restingHeartRate <= d.Max {
445 average = float64(restingHeartRate)
448 dataPoints = append(dataPoints, &fitness.DataPoint{
449 DataTypeName: dataSource.DataType.Name,
450 StartTimeNanos: startTime.UnixNano(),
451 EndTimeNanos: endTime.UnixNano(),
452 Value: []*fitness.Value{
457 FpVal: float64(d.Max),
460 FpVal: float64(d.Min),
468 if len(dataPoints) == 0 {
471 return c.DataSetPatch(ctx, dataSource.DataStreamId, dataPoints)