//fitness and freshness
func ff(user types.UserSettings, filter Filter) []types.Ff_data_point {
user_id := user.Id
ff_data := make([]types.Ff_data_point, 0) //activity day
ff_scan_data := make([]types.Ff_data_point, 0) //all days in range
var user_data types.Metrics
var user_cpms types.CPMs
var end_summary_json []byte
var cp_data_json []byte
var has_power, has_heart bool
var activity_start time.Time
var firstDate time.Time
var firstIter = true
var activity_id string
cluster := gocql.NewCluster(config.DbHost)
cluster.Keyspace = "joulepersecond"
cluster.Consistency = gocql.Quorum
session, _ := cluster.CreateSession()
defer session.Close()
var lastNotableCp float64
var thisCp int
//get all of the user's data (at least all for now) TODO limit these queries by date if poss.
iter := session.Query(`SELECT activity_start, activity_id, end_summary_json, has_power, has_heart FROM joulepersecond.user_activity WHERE user_id = ? ORDER BY activity_start ASC`, user_id).Iter()
//loop through each activity
for iter.Scan(&activity_start, &activity_id, &end_summary_json, &has_power, &has_heart) {
iter := session.Query(`SELECT cp_data_json FROM joulepersecond.proc_activity WHERE activity_id = ? LIMIT 1`, activity_id).Iter()
for iter.Scan(&cp_data_json) {
json.Unmarshal(cp_data_json, &user_cpms)
}
if firstIter {
firstDate = activity_start
firstIter = false
}
var ff_data_point types.Ff_data_point
//unmarshal the activtiy types.Metrics
json.Unmarshal(end_summary_json, &user_data)
//values for each scanned activity
var user_tss int
var perc_effort int
var mot_level int
//check for a tss override value
session.Query(`SELECT activity_id, tss_value, motivation_level, perceived_effort FROM activity_meta WHERE activity_id = ?`, activity_id).Scan(&activity_id, &user_tss, &mot_level, &perc_effort)
//get a value for tss whether from hr, power or (TODO user set)
if user_tss > 0 {
ff_data_point.Tss = user_tss
} else {
if has_power {
ff_data_point.Tss = user_data.Tss
} else if has_heart {
ff_data_point.Tss = user_data.Etss
}
}
if filter.S5 {
thisCp = user_cpms.FiveSecondCP
} else if filter.S20 {
thisCp = user_cpms.TwentySecondCP
} else if filter.S60 {
thisCp = user_cpms.SixtySecondCP
} else if filter.S300 {
thisCp = user_cpms.FiveMinuteCP
} else if filter.S1200 {
thisCp = user_cpms.TwentyMinuteCP
} else if filter.S3600 {
thisCp = user_cpms.SixtyMinuteCP
}
if float64(thisCp) > lastNotableCp {
lastNotableCp = float64(thisCp)
ff_data_point.NotableCp = float64(thisCp)
} else {
lastNotableCp = lastNotableCp * float64(user.Ncp_rolloff) / 1000 //0.995 default
}
//get the date
ff_data_point.Date = user_data.StartTime
//add extended metrics
ff_data_point.Meta.MotivationLevel = mot_level
ff_data_point.Meta.PerceivedEffort = perc_effort
//add date and tss to array slice
ff_data = append(ff_data, ff_data_point)
}
if err := iter.Close(); err != nil {
log.Fatal(err)
}
//calulate the number of days between first recorded activity and current date
duration := time.Since(firstDate) //get total duration in time.Duration
days := int(duration/day) + 1 //add one day to include current day
//loop through each day.
for i := 0; i <= days+30; i++ { //add 30 days to show roll off
//create a var to hold a sample for each day scanned - it may or maynot contain an activity, but will still contain ctl, atl and tsb vals along with the date
var scan_data_point types.Ff_data_point
//get each day to be scanned (all days between first activity and current date)
scanDate := firstDate.AddDate(0, 0, i)
scan_data_point.Date = scanDate //get the date
scanYear, scanMonth, scanDay := scanDate.Date() //get date elements that are easier to compare
//these so we can print out UTC values to Highcharts
scan_data_point.Day = scanDay
scan_data_point.Month = int(scanMonth) - 1 //js months start at naught.
scan_data_point.Year = scanYear
//now get each of the days where we have an activity
for _, val := range ff_data {
actYear, actMonth, actDay := val.Date.Date()
if actYear == scanYear && actMonth == scanMonth && actDay == scanDay {
scan_data_point.Meta.PerceivedEffort = val.Meta.PerceivedEffort
scan_data_point.Meta.MotivationLevel = val.Meta.MotivationLevel
//these are the days where we have activites - add the TSS
//we might have more than one activity in a day so append any others TSS on this day
scan_data_point.Tss += val.Tss
if val.NotableCp > 0 {
scan_data_point.NotableCp = val.NotableCp
scan_data_point.HasValue = true
} else {
scan_data_point.HasValue = false
}
}
//else leave TSS as it is (0)
}
if i > 0 { //don't have a yesterday value on the first day
scan_data_point.Atl = ff_scan_data[i-1].Atl + (float64(scan_data_point.Tss)-ff_scan_data[i-1].Atl)/float64(user.Atl_constant)
scan_data_point.Ctl = ff_scan_data[i-1].Ctl + (float64(scan_data_point.Tss)-ff_scan_data[i-1].Ctl)/float64(user.Ctl_constant)
scan_data_point.Tsb = scan_data_point.Ctl - scan_data_point.Atl
//fmt.Printf("Atl: %v Ctl: %v Tsb: %v\n", scan_data_point.Atl, scan_data_point.Ctl, scan_data_point.Tsb)
}
//add the data to our array slice
ff_scan_data = append(ff_scan_data, scan_data_point)
}
//OPTION (show reduced results) commenting out the follwing lines bypasses filter
if len(ff_scan_data) > (filter.Historylen + 30) {
ff_scan_data = ff_scan_data[len(ff_scan_data)-(filter.Historylen+30) : len(ff_scan_data)]
}
return ff_scan_data
}
func current_ff(user types.UserSettings) types.Current_ff {
user_id := user.Id
ff_data := make([]types.Ff_data_point, 0) //activity day
ff_scan_data := make([]types.Ff_data_point, 0) //all days in range
var current_ff types.Current_ff
var user_data types.Metrics
var end_summary_json []byte
var has_power, has_heart bool
var activity_start time.Time
var firstDate time.Time
var firstIter = true
var activity_id string
var day = time.Hour * 24
timeNow := time.Now()
var recentMonths = timeNow.AddDate(0, -6, 0)
cluster := gocql.NewCluster(config.DbHost)
cluster.Keyspace = "joulepersecond"
cluster.Consistency = gocql.Quorum
session, _ := cluster.CreateSession()
defer session.Close()
//get all of the user's data (at least all for now) TODO limit these queries by date if poss.
iter := session.Query(`SELECT activity_start, activity_id, end_summary_json, has_power, has_heart FROM joulepersecond.user_activity WHERE user_id = ? AND activity_start > ? ORDER BY activity_start ASC`, user_id, recentMonths).Iter()
//loop through each activity
for iter.Scan(&activity_start, &activity_id, &end_summary_json, &has_power, &has_heart) {
if firstIter {
firstDate = activity_start
firstIter = false
}
var ff_data_point types.Ff_data_point
//unmarshal the activtiy metrics
json.Unmarshal(end_summary_json, &user_data)
//values for each scanned activity
var user_tss int
//check for a tss override value
session.Query(`SELECT activity_id, tss_value FROM activity_meta WHERE activity_id = ?`, activity_id).Scan(&activity_id, &user_tss)
//get a value for tss whether from hr, power or (TODO user set)
if user_tss > 0 {
ff_data_point.Tss = user_tss
} else {
if has_power {
ff_data_point.Tss = user_data.Tss
} else if has_heart {
ff_data_point.Tss = user_data.Etss
}
}
//get the date
ff_data_point.Date = user_data.StartTime
//add date and tss to array slice
ff_data = append(ff_data, ff_data_point)
}
if err := iter.Close(); err != nil {
fmt.Printf("%v\n", err)
}
//calulate the number of days between first recorded activity and current date
duration := time.Since(firstDate) //get total duration in time.Duration
days := int(duration/day) + 1 //add one day to include current day
//loop through each day.
for i := 0; i <= days+30; i++ {
//create a var to hold a sample for each day scanned - it may or maynot contain an activity, but will still contain ctl, atl and tsb vals along with the date
var scan_data_point types.Ff_data_point
//get each day to be scanned (all days between first activity and current date)
scanDate := firstDate.AddDate(0, 0, i)
scan_data_point.Date = scanDate //get the date
scanYear, scanMonth, scanDay := scanDate.Date() //get date elements that are easier to compare
//now get each of the days where we have an activity
for _, val := range ff_data {
actYear, actMonth, actDay := val.Date.Date()
if actYear == scanYear && actMonth == scanMonth && actDay == scanDay {
//these are the days where we have activites - add the TSS
//we might have more than one activity in a day so append any others TSS on this day
scan_data_point.Tss += val.Tss
}
//else leave TSS as it is (0)
}
if i > 0 { //don't have a yesterday value on the first day
scan_data_point.Atl = ff_scan_data[i-1].Atl + (float64(scan_data_point.Tss)-ff_scan_data[i-1].Atl)/float64(user.Atl_constant)
scan_data_point.Ctl = ff_scan_data[i-1].Ctl + (float64(scan_data_point.Tss)-ff_scan_data[i-1].Ctl)/float64(user.Ctl_constant)
scan_data_point.Tsb = scan_data_point.Ctl - scan_data_point.Atl
}
//save off today's fitness and freshness...
timeNow := time.Now()
if scanDate.Year() == timeNow.Year() && scanDate.Month() == timeNow.Month() && scanDate.Day() == timeNow.Day() {
current_ff.Atl = int(scan_data_point.Atl)
current_ff.Ctl = int(scan_data_point.Ctl)
current_ff.Tsb = int(scan_data_point.Tsb)
}
//add the data to our array slice
ff_scan_data = append(ff_scan_data, scan_data_point)
}
return current_ff
}
