X-Git-Url: https://git.octo.it/?p=kraftakt.git;a=blobdiff_plain;f=gfit%2Fgfit.go;h=ac4815efb59e6fe1c464430e040ba648f1910f70;hp=8fe0d546fd82c1a6596cba054962ad14cd22094d;hb=0b5931467b50004d313104794a2be450c6413582;hpb=fc31210924dc60e5a885a669e2431603f7344bbf diff --git a/gfit/gfit.go b/gfit/gfit.go index 8fe0d54..ac4815e 100644 --- a/gfit/gfit.go +++ b/gfit/gfit.go @@ -20,7 +20,8 @@ const ( csrfToken = "@CSRFTOKEN@" userID = "me" - dataTypeNameSteps = "com.google.step_count.delta" + dataTypeNameCalories = "com.google.calories.expended" + dataTypeNameSteps = "com.google.step_count.delta" ) var oauthConfig = &oauth2.Config{ @@ -234,3 +235,120 @@ func (c *Client) SetSteps(ctx context.Context, totalSteps int, startOfDay time.T }, }) } + +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) +} + +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) + + 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, "new cumulative data point: [%v--%v] %+v", startTime, 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) 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 { + 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, "Google Fit has data points for %s until %v: %+v", dataSource.DataStreamId, maxEndTime, sum) + return &sum, maxEndTime, nil +}