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@@ -732,7 +732,7 @@ final class BaseAPSManager: APSManager, Injectable {
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return rounded
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}
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- private func medianCalculation(array: [Double]) -> Double {
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+ private func medianCalculationDouble(array: [Double]) -> Double {
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guard !array.isEmpty else {
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return 0
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}
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@@ -745,14 +745,147 @@ final class BaseAPSManager: APSManager, Injectable {
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return sorted[length / 2]
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}
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- // Add to statistics.JSON
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+ private func medianCalculation(array: [Int]) -> Double {
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+ guard !array.isEmpty else {
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+ return 0
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+ }
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+ let sorted = array.sorted()
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+ let length = array.count
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+
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+ if length % 2 == 0 {
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+ return Double((sorted[length / 2 - 1] + sorted[length / 2]) / 2)
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+ }
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+ return Double(sorted[length / 2])
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+ }
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+
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+ private func tir(_ array: [Readings]) -> (TIR: Double, hypos: Double, hypers: Double, normal_: Double) {
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+ let glucose = array
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+ let justGlucoseArray = glucose.compactMap({ each in Int(each.glucose as Int16) })
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+ let totalReadings = justGlucoseArray.count
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+ let highLimit = settingsManager.settings.high
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+ let lowLimit = settingsManager.settings.low
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+ let hyperArray = glucose.filter({ $0.glucose >= Int(highLimit) })
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+ let hyperReadings = hyperArray.compactMap({ each in each.glucose as Int16 }).count
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+ let hyperPercentage = Double(hyperReadings) / Double(totalReadings) * 100
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+ let hypoArray = glucose.filter({ $0.glucose <= Int(lowLimit) })
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+ let hypoReadings = hypoArray.compactMap({ each in each.glucose as Int16 }).count
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+ let hypoPercentage = Double(hypoReadings) / Double(totalReadings) * 100
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+ // Euglyccemic range
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+ let normalArray = glucose.filter({ $0.glucose >= 70 && $0.glucose <= 140 })
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+ let normalReadings = normalArray.compactMap({ each in each.glucose as Int16 }).count
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+ let normalPercentage = Double(normalReadings) / Double(totalReadings) * 100
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+ // TIR
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+ let tir = 100 - (hypoPercentage + hyperPercentage)
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+ return (
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+ roundDouble(tir, 1),
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+ roundDouble(hypoPercentage, 1),
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+ roundDouble(hyperPercentage, 1),
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+ roundDouble(normalPercentage, 1)
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+ )
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+ }
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+
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+ private func glucoseStats(_ fetchedGlucose: [Readings])
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+ -> (ifcc: Double, ngsp: Double, average: Double, median: Double, sd: Double, cv: Double, readings: Double)
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+ {
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+ let glucose = fetchedGlucose
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+ // First date
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+ let previous = glucose.last?.date ?? Date()
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+ // Last date (recent)
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+ let current = glucose.first?.date ?? Date()
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+ // Total time in days
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+ let numberOfDays = (current - previous).timeInterval / 8.64E4
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+ let denominator = numberOfDays < 1 ? 1 : numberOfDays
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+ let justGlucoseArray = glucose.compactMap({ each in Int(each.glucose as Int16) })
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+ let sumReadings = justGlucoseArray.reduce(0, +)
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+ let countReadings = justGlucoseArray.count
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+ let glucoseAverage = Double(sumReadings) / Double(countReadings)
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+ let medianGlucose = medianCalculation(array: justGlucoseArray)
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+ var NGSPa1CStatisticValue = 0.0
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+ var IFCCa1CStatisticValue = 0.0
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+
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+ if numberOfDays > 0 {
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+ NGSPa1CStatisticValue = (glucoseAverage + 46.7) / 28.7 // NGSP (%)
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+ IFCCa1CStatisticValue = 10.929 *
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+ (NGSPa1CStatisticValue - 2.152) // IFCC (mmol/mol) A1C(mmol/mol) = 10.929 * (A1C(%) - 2.15)
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+ }
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+ var sumOfSquares = 0.0
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+
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+ for array in justGlucoseArray {
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+ sumOfSquares += pow(Double(array) - Double(glucoseAverage), 2)
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+ }
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+ var sd = 0.0
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+ var cv = 0.0
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+ // Avoid division by zero
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+ if glucoseAverage > 0 {
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+ sd = sqrt(sumOfSquares / Double(countReadings))
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+ cv = sd / Double(glucoseAverage) * 100
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+ }
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+ let conversionFactor = 0.0555
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+ let units = settingsManager.settings.units
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+
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+ var output: (ifcc: Double, ngsp: Double, average: Double, median: Double, sd: Double, cv: Double, readings: Double)
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+ output = (
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+ ifcc: IFCCa1CStatisticValue,
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+ ngsp: NGSPa1CStatisticValue,
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+ average: glucoseAverage * (units == .mmolL ? conversionFactor : 1),
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+ median: medianGlucose * (units == .mmolL ? conversionFactor : 1),
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+ sd: sd * (units == .mmolL ? conversionFactor : 1), cv: cv,
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+ readings: Double(countReadings) / denominator
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+ )
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+ return output
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+ }
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+
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+ private func loops(_ fetchedLoops: [LoopStatRecord]) -> Loops {
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+ let loops = fetchedLoops
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+ // First date
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+ let previous = loops.last?.end ?? Date()
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+ // Last date (recent)
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+ let current = loops.first?.start ?? Date()
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+ // Total time in days
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+ let totalTime = (current - previous).timeInterval / 8.64E4
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+ //
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+ let durationArray = loops.compactMap({ each in each.duration })
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+ let durationArrayCount = durationArray.count
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+ let durationAverage = durationArray.reduce(0, +) / Double(durationArrayCount) * 60
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+ let medianDuration = medianCalculationDouble(array: durationArray) * 60
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+ let max_duration = (durationArray.max() ?? 0) * 60
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+ let min_duration = (durationArray.min() ?? 0) * 60
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+ let successsNR = loops.compactMap({ each in each.loopStatus }).filter({ each in each!.contains("Success") }).count
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+ let errorNR = durationArrayCount - successsNR
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+ let total = Double(successsNR + errorNR) == 0 ? 1 : Double(successsNR + errorNR)
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+ let successRate: Double? = (Double(successsNR) / total) * 100
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+ let loopNr = totalTime <= 1 ? total : round(total / (totalTime != 0 ? totalTime : 1))
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+ let intervalArray = loops.compactMap({ each in each.interval as Double })
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+ let count = intervalArray.count != 0 ? intervalArray.count : 1
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+ let median_interval = medianCalculationDouble(array: intervalArray)
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+ let intervalAverage = intervalArray.reduce(0, +) / Double(count)
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+ let maximumInterval = intervalArray.max()
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+ let minimumInterval = intervalArray.min()
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+ //
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+ let output = Loops(
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+ loops: Int(loopNr),
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+ errors: errorNR,
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+ success_rate: roundDecimal(Decimal(successRate ?? 0), 1),
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+ avg_interval: roundDecimal(Decimal(intervalAverage), 1),
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+ median_interval: roundDecimal(Decimal(median_interval), 1),
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+ min_interval: roundDecimal(Decimal(minimumInterval ?? 0), 1),
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+ max_interval: roundDecimal(Decimal(maximumInterval ?? 0), 1),
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+ avg_duration: roundDecimal(Decimal(durationAverage), 1),
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+ median_duration: roundDecimal(Decimal(medianDuration), 1),
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+ min_duration: roundDecimal(Decimal(min_duration), 1),
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+ max_duration: roundDecimal(Decimal(max_duration), 1)
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+ )
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+ return output
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+ }
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+
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+ // Add to statistics.JSON for upload to NS.
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private func statistics() {
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let now = Date()
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if settingsManager.settings.uploadStats {
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let hour = Calendar.current.component(.hour, from: now)
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guard hour > 20 else {
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- return
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- }
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+ return
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+ }
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coredataContext.performAndWait { [self] in
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var stats = [StatsData]()
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let requestStats = StatsData.fetchRequest() as NSFetchRequest<StatsData>
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@@ -766,22 +899,21 @@ final class BaseAPSManager: APSManager, Injectable {
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let units = self.settingsManager.settings.units
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let preferences = settingsManager.preferences
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+ // Carbs
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var carbs = [Carbohydrates]()
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var carbTotal: Decimal = 0
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let requestCarbs = Carbohydrates.fetchRequest() as NSFetchRequest<Carbohydrates>
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let daysAgo = Date().addingTimeInterval(-1.days.timeInterval)
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requestCarbs.predicate = NSPredicate(format: "carbs > 0 AND date > %@", daysAgo as NSDate)
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-
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let sortCarbs = NSSortDescriptor(key: "date", ascending: true)
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requestCarbs.sortDescriptors = [sortCarbs]
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try? carbs = coredataContext.fetch(requestCarbs)
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-
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carbTotal = carbs.map({ carbs in carbs.carbs as? Decimal ?? 0 }).reduce(0, +)
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+ // TDD
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var tdds = [TDD]()
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var currentTDD: Decimal = 0
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var tddTotalAverage: Decimal = 0
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-
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let requestTDD = TDD.fetchRequest() as NSFetchRequest<TDD>
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let sort = NSSortDescriptor(key: "timestamp", ascending: false)
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let daysOf14Ago = Date().addingTimeInterval(-14.days.timeInterval)
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@@ -806,7 +938,6 @@ final class BaseAPSManager: APSManager, Injectable {
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} else if preferences.useNewFormula, !preferences.sigmoid,!preferences.enableDynamicCR {
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algo_ = "Dynamic ISF: Logarithmic"
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}
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-
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let af = preferences.adjustmentFactor
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let insulin_type = preferences.curve
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let buildDate = Bundle.main.buildDate
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@@ -825,284 +956,88 @@ final class BaseAPSManager: APSManager, Injectable {
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} else if preferences.curve.rawValue == "ultra-rapid" {
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iPa = 50
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}
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-
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- var lsr = [LoopStatRecord]()
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-
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- let requestLSR = LoopStatRecord.fetchRequest() as NSFetchRequest<LoopStatRecord>
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- requestLSR.predicate = NSPredicate(
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- format: "interval > 0 AND start > %@",
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- Date().addingTimeInterval(-24.hours.timeInterval) as NSDate
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- )
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- let sortLSR = NSSortDescriptor(key: "start", ascending: false)
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- requestLSR.sortDescriptors = [sortLSR]
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-
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- try? lsr = coredataContext.fetch(requestLSR)
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- let loops = lsr
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-
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- let durationArray = loops.compactMap({ each in each.duration })
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- let durationArrayCount = durationArray.count
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- let successsNR = loops.compactMap({ each in each.loopStatus }).filter({ each in each!.contains("Success") }).count
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-
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- let durationAverage = durationArray.reduce(0, +) / Double(durationArrayCount)
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- let medianDuration = medianCalculation(array: durationArray)
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- let minimumDuration = durationArray.min() ?? 0
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- let maximumDuration = durationArray.max() ?? 0
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- let errorNR = durationArrayCount - successsNR
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- let successRate: Double? = (Double(successsNR) / Double(successsNR + errorNR)) * 100
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- let loopNr = successsNR + errorNR
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-
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- let intervalArray = loops.compactMap({ each in each.interval })
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- let intervalArrayCount = intervalArray.count
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- let intervalAverage = intervalArray.reduce(0, +) / Double(intervalArrayCount)
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- let intervalMedian = medianCalculation(array: intervalArray)
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- let maximumInterval = intervalArray.max() ?? 0
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- let minimumInterval = intervalArray.min() ?? 0
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-
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+ // CGM Readings
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+ // var glucose_1 = [Readings]()
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+ var glucose_24 = [Readings]()
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+ var glucose_7 = [Readings]()
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+ var glucose_30 = [Readings]()
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var glucose = [Readings]()
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-
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- var firstElementTime = Date()
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- var lastElementTime = Date()
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- var currentIndexTime = Date()
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-
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- var bg: Decimal = 0
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-
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- var bgArray: [Double] = []
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- var bgArray_1_: [Double] = []
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- var bgArray_7_: [Double] = []
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- var bgArray_30_: [Double] = []
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-
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- var bgArrayForTIR: [(bg_: Double, date_: Date)] = []
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- var bgArray_1: [(bg_: Double, date_: Date)] = []
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- var bgArray_7: [(bg_: Double, date_: Date)] = []
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- var bgArray_30: [(bg_: Double, date_: Date)] = []
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-
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- var medianBG = 0.0
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- var nr_bgs: Decimal = 0
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- var bg_1: Decimal = 0
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- var bg_7: Decimal = 0
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- var bg_30: Decimal = 0
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- var bg_total: Decimal = 0
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- var j = -1
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- var conversionFactor: Decimal = 1
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- if units == .mmolL {
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- conversionFactor = 0.0555
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- }
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-
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- var numberOfDays: Double = 0
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- var nr1: Decimal = 0
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-
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+ let filter = DateFilter()
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+ // Total
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let requestGFS = Readings.fetchRequest() as NSFetchRequest<Readings>
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let sortGlucose = NSSortDescriptor(key: "date", ascending: false)
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+ requestGFS.predicate = NSPredicate(format: "glucose > 0 AND date > %@", filter.total)
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requestGFS.sortDescriptors = [sortGlucose]
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-
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try? glucose = coredataContext.fetch(requestGFS)
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-
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- // Time In Range (%) and Average Glucose. This will be refactored later after some testing.
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- let endIndex = glucose.count - 1
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-
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- firstElementTime = glucose[0].date ?? Date()
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- lastElementTime = glucose[endIndex].date ?? Date()
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-
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- currentIndexTime = firstElementTime
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-
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- numberOfDays = (firstElementTime - lastElementTime).timeInterval / 8.64E4
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-
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- // Make arrays for median calculations and calculate averages
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- if endIndex >= 0, (glucose.first?.glucose ?? 0) != 0 {
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- repeat {
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- j += 1
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- if glucose[j].glucose > 0 {
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- currentIndexTime = glucose[j].date ?? firstElementTime
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- bg += Decimal(glucose[j].glucose) * conversionFactor
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- bgArray.append(Double(glucose[j].glucose) * Double(conversionFactor))
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- bgArrayForTIR.append((Double(glucose[j].glucose), glucose[j].date!))
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- nr_bgs += 1
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- if (firstElementTime - currentIndexTime).timeInterval <= 8.64E4 { // 1 day
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- bg_1 = bg / nr_bgs
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- bgArray_1 = bgArrayForTIR
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- bgArray_1_ = bgArray
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- nr1 = nr_bgs
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- }
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- if (firstElementTime - currentIndexTime).timeInterval <= 6.048E5 { // 7 days
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- bg_7 = bg / nr_bgs
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- bgArray_7 = bgArrayForTIR
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- bgArray_7_ = bgArray
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- }
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- if (firstElementTime - currentIndexTime).timeInterval <= 2.592E6 { // 30 days
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- bg_30 = bg / nr_bgs
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- bgArray_30 = bgArrayForTIR
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- bgArray_30_ = bgArray
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- }
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- }
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- } while j != glucose.count - 1
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- } else { return }
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-
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- if nr_bgs > 0 {
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- // Up to 91 days
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- bg_total = bg / nr_bgs
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- }
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-
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- // Total median
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- medianBG = medianCalculation(array: bgArray)
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-
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- func tir(_ array: [(bg_: Double, date_: Date)]) -> (TIR: Double, hypos: Double, hypers: Double) {
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- var timeInHypo = 0.0
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- var timeInHyper = 0.0
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- var hypos = 0.0
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- var hypers = 0.0
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- var i = -1
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- var lastIndex = false
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- let endIndex = array.count - 1
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-
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- let hypoLimit = settingsManager.settings.low
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- let hyperLimit = settingsManager.settings.high
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-
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- var full_time = 0.0
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- if endIndex > 0 {
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- full_time = (array[0].date_ - array[endIndex].date_).timeInterval
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- }
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- while i < endIndex {
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- i += 1
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- let currentTime = array[i].date_
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- var previousTime = currentTime
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- if i + 1 <= endIndex {
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- previousTime = array[i + 1].date_
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- } else {
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- lastIndex = true
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- }
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- if array[i].bg_ < Double(hypoLimit), !lastIndex {
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- // Exclude duration between CGM readings which are more than 30 minutes
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- timeInHypo += min((currentTime - previousTime).timeInterval, 30.minutes.timeInterval)
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- } else if array[i].bg_ >= Double(hyperLimit), !lastIndex {
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- timeInHyper += min((currentTime - previousTime).timeInterval, 30.minutes.timeInterval)
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- }
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- }
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- if timeInHypo == 0.0 {
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- hypos = 0
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- } else if full_time != 0.0 { hypos = (timeInHypo / full_time) * 100
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- }
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- if timeInHyper == 0.0 {
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- hypers = 0
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- } else if full_time != 0.0 { hypers = (timeInHyper / full_time) * 100
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- }
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- let TIR = 100 - (hypos + hypers)
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- return (roundDouble(TIR, 1), roundDouble(hypos, 1), roundDouble(hypers, 1))
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- }
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-
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- // HbA1c estimation (%, mmol/mol) 1 day
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- var NGSPa1CStatisticValue: Decimal = 0.0
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- var IFCCa1CStatisticValue: Decimal = 0.0
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|
- if nr_bgs > 0 {
|
|
|
- NGSPa1CStatisticValue = ((bg_1 / conversionFactor) + 46.7) / 28.7 // NGSP (%)
|
|
|
- IFCCa1CStatisticValue = 10.929 *
|
|
|
- (NGSPa1CStatisticValue - 2.152) // IFCC (mmol/mol) A1C(mmol/mol) = 10.929 * (A1C(%) - 2.15)
|
|
|
- }
|
|
|
- // 7 days
|
|
|
- var NGSPa1CStatisticValue_7: Decimal = 0.0
|
|
|
- var IFCCa1CStatisticValue_7: Decimal = 0.0
|
|
|
- if nr_bgs > 0 {
|
|
|
- NGSPa1CStatisticValue_7 = ((bg_7 / conversionFactor) + 46.7) / 28.7
|
|
|
- IFCCa1CStatisticValue_7 = 10.929 * (NGSPa1CStatisticValue_7 - 2.152)
|
|
|
- }
|
|
|
- // 30 days
|
|
|
- var NGSPa1CStatisticValue_30: Decimal = 0.0
|
|
|
- var IFCCa1CStatisticValue_30: Decimal = 0.0
|
|
|
- if nr_bgs > 0 {
|
|
|
- NGSPa1CStatisticValue_30 = ((bg_30 / conversionFactor) + 46.7) / 28.7
|
|
|
- IFCCa1CStatisticValue_30 = 10.929 * (NGSPa1CStatisticValue_30 - 2.152)
|
|
|
- }
|
|
|
- // Total days
|
|
|
- var NGSPa1CStatisticValue_total: Decimal = 0.0
|
|
|
- var IFCCa1CStatisticValue_total: Decimal = 0.0
|
|
|
- if nr_bgs > 0 {
|
|
|
- NGSPa1CStatisticValue_total = ((bg_total / conversionFactor) + 46.7) / 28.7
|
|
|
- IFCCa1CStatisticValue_total = 10.929 *
|
|
|
- (NGSPa1CStatisticValue_total - 2.152)
|
|
|
- }
|
|
|
+ // Today
|
|
|
+ /*
|
|
|
+ let requestGFS_1 = Readings.fetchRequest() as NSFetchRequest<Readings>
|
|
|
+ requestGFS_1.predicate = NSPredicate(format: "glucose > 0 AND date > %@", filter.today)
|
|
|
+ let sortGlucose_1 = NSSortDescriptor(key: "date", ascending: false)
|
|
|
+ requestGFS_1.sortDescriptors = [sortGlucose_1]
|
|
|
+ try? glucose_1 = coredataContext.fetch(requestGFS_1)
|
|
|
+ */
|
|
|
+ // 24h
|
|
|
+ let requestGFS_24 = Readings.fetchRequest() as NSFetchRequest<Readings>
|
|
|
+ requestGFS_24.predicate = NSPredicate(format: "glucose > 0 AND date > %@", filter.day)
|
|
|
+ let sortGlucose_24 = NSSortDescriptor(key: "date", ascending: false)
|
|
|
+ requestGFS.sortDescriptors = [sortGlucose_24]
|
|
|
+ try? glucose_24 = coredataContext.fetch(requestGFS_24)
|
|
|
+ // Week
|
|
|
+ let requestGFS_7 = Readings.fetchRequest() as NSFetchRequest<Readings>
|
|
|
+ requestGFS_7.predicate = NSPredicate(format: "glucose > 0 AND date > %@", filter.week)
|
|
|
+ let sortGlucose_7 = NSSortDescriptor(key: "date", ascending: false)
|
|
|
+ requestGFS.sortDescriptors = [sortGlucose_7]
|
|
|
+ try? glucose_7 = coredataContext.fetch(requestGFS_7)
|
|
|
+ // Month
|
|
|
+ let requestGFS_30 = Readings.fetchRequest() as NSFetchRequest<Readings>
|
|
|
+ requestGFS_30.predicate = NSPredicate(format: "glucose > 0 AND date > %@", filter.month)
|
|
|
+ let sortGlucose_30 = NSSortDescriptor(key: "date", ascending: false)
|
|
|
+ requestGFS.sortDescriptors = [sortGlucose_30]
|
|
|
+ try? glucose_30 = coredataContext.fetch(requestGFS_30)
|
|
|
+
|
|
|
+ // First date
|
|
|
+ let previous = glucose.last?.date ?? Date()
|
|
|
+ // Last date (recent)
|
|
|
+ let current = glucose.first?.date ?? Date()
|
|
|
+ // Total time in days
|
|
|
+ let numberOfDays = (current - previous).timeInterval / 8.64E4
|
|
|
+
|
|
|
+ // Get glucose computations for every case
|
|
|
+ let oneDayGlucose = glucoseStats(glucose_24)
|
|
|
+ let sevenDaysGlucose = glucoseStats(glucose_7)
|
|
|
+ let thirtyDaysGlucose = glucoseStats(glucose_30)
|
|
|
+ let totalDaysGlucose = glucoseStats(glucose)
|
|
|
|
|
|
let median = Durations(
|
|
|
- day: roundDecimal(Decimal(medianCalculation(array: bgArray_1_)), 1),
|
|
|
- week: roundDecimal(Decimal(medianCalculation(array: bgArray_7_)), 1),
|
|
|
- month: roundDecimal(Decimal(medianCalculation(array: bgArray_30_)), 1),
|
|
|
- total: roundDecimal(Decimal(medianBG), 1)
|
|
|
+ day: roundDecimal(Decimal(oneDayGlucose.median), 1),
|
|
|
+ week: roundDecimal(Decimal(sevenDaysGlucose.median), 1),
|
|
|
+ month: roundDecimal(Decimal(thirtyDaysGlucose.median), 1),
|
|
|
+ total: roundDecimal(Decimal(totalDaysGlucose.median), 1)
|
|
|
)
|
|
|
|
|
|
- let saveMedianToCoreData = BGmedian(context: self.coredataContext)
|
|
|
- saveMedianToCoreData.date = Date()
|
|
|
- saveMedianToCoreData.median = median.total as NSDecimalNumber
|
|
|
- saveMedianToCoreData.median_1 = median.day as NSDecimalNumber
|
|
|
- saveMedianToCoreData.median_7 = median.week as NSDecimalNumber
|
|
|
- saveMedianToCoreData.median_30 = median.month as NSDecimalNumber
|
|
|
-
|
|
|
- try? self.coredataContext.save()
|
|
|
-
|
|
|
- var hbs = Durations(
|
|
|
- day: roundDecimal(NGSPa1CStatisticValue, 1),
|
|
|
- week: roundDecimal(NGSPa1CStatisticValue_7, 1),
|
|
|
- month: roundDecimal(NGSPa1CStatisticValue_30, 1),
|
|
|
- total: roundDecimal(NGSPa1CStatisticValue_total, 1)
|
|
|
- )
|
|
|
-
|
|
|
- let saveHbA1c = HbA1c(context: self.coredataContext)
|
|
|
- saveHbA1c.date = Date()
|
|
|
- saveHbA1c.hba1c = NGSPa1CStatisticValue_total as NSDecimalNumber
|
|
|
- saveHbA1c.hba1c_1 = NGSPa1CStatisticValue as NSDecimalNumber
|
|
|
- saveHbA1c.hba1c_7 = NGSPa1CStatisticValue_7 as NSDecimalNumber
|
|
|
- saveHbA1c.hba1c_30 = NGSPa1CStatisticValue_30 as NSDecimalNumber
|
|
|
-
|
|
|
- try? self.coredataContext.save()
|
|
|
-
|
|
|
- // Convert to user-preferred unit
|
|
|
let overrideHbA1cUnit = settingsManager.settings.overrideHbA1cUnit
|
|
|
- if units == .mmolL {
|
|
|
- // Override if users sets overrideHbA1cUnit: true
|
|
|
- if !overrideHbA1cUnit {
|
|
|
- hbs = Durations(
|
|
|
- day: roundDecimal(IFCCa1CStatisticValue, 1),
|
|
|
- week: roundDecimal(IFCCa1CStatisticValue_7, 1),
|
|
|
- month: roundDecimal(IFCCa1CStatisticValue_30, 1),
|
|
|
- total: roundDecimal(IFCCa1CStatisticValue_total, 1)
|
|
|
- )
|
|
|
- }
|
|
|
- } else if units != .mmolL, overrideHbA1cUnit {
|
|
|
- hbs = Durations(
|
|
|
- day: roundDecimal(IFCCa1CStatisticValue, 1),
|
|
|
- week: roundDecimal(IFCCa1CStatisticValue_7, 1),
|
|
|
- month: roundDecimal(IFCCa1CStatisticValue_30, 1),
|
|
|
- total: roundDecimal(IFCCa1CStatisticValue_total, 1)
|
|
|
- )
|
|
|
- }
|
|
|
|
|
|
- let nrOfCGMReadings = nr1
|
|
|
-
|
|
|
- let loopstat = LoopCycles(
|
|
|
- loops: loopNr,
|
|
|
- errors: errorNR,
|
|
|
- readings: Int(nrOfCGMReadings),
|
|
|
- success_rate: Decimal(round(successRate ?? 0)),
|
|
|
- avg_interval: roundDecimal(Decimal(intervalAverage), 1),
|
|
|
- median_interval: roundDecimal(Decimal(intervalMedian), 1),
|
|
|
- min_interval: roundDecimal(Decimal(minimumInterval), 1),
|
|
|
- max_interval: roundDecimal(Decimal(maximumInterval), 1),
|
|
|
- avg_duration: Decimal(roundDouble(durationAverage, 2)),
|
|
|
- median_duration: Decimal(roundDouble(medianDuration, 2)),
|
|
|
- min_duration: roundDecimal(Decimal(minimumDuration), 2),
|
|
|
- max_duration: Decimal(roundDouble(maximumDuration, 1))
|
|
|
+ let hbs = Durations(
|
|
|
+ day: ((units == .mmolL && !overrideHbA1cUnit) || (units == .mgdL && overrideHbA1cUnit)) ?
|
|
|
+ roundDecimal(Decimal(oneDayGlucose.ifcc), 1) : roundDecimal(Decimal(oneDayGlucose.ngsp), 1),
|
|
|
+ week: ((units == .mmolL && !overrideHbA1cUnit) || (units == .mgdL && overrideHbA1cUnit)) ?
|
|
|
+ roundDecimal(Decimal(sevenDaysGlucose.ifcc), 1) : roundDecimal(Decimal(sevenDaysGlucose.ngsp), 1),
|
|
|
+ month: ((units == .mmolL && !overrideHbA1cUnit) || (units == .mgdL && overrideHbA1cUnit)) ?
|
|
|
+ roundDecimal(Decimal(thirtyDaysGlucose.ifcc), 1) : roundDecimal(Decimal(thirtyDaysGlucose.ngsp), 1),
|
|
|
+ total: ((units == .mmolL && !overrideHbA1cUnit) || (units == .mgdL && overrideHbA1cUnit)) ?
|
|
|
+ roundDecimal(Decimal(totalDaysGlucose.ifcc), 1) : roundDecimal(Decimal(totalDaysGlucose.ngsp), 1)
|
|
|
)
|
|
|
|
|
|
- // TIR calcs for every case
|
|
|
- var oneDay_: (TIR: Double, hypos: Double, hypers: Double) = (0.0, 0.0, 0.0)
|
|
|
- var sevenDays_: (TIR: Double, hypos: Double, hypers: Double) = (0.0, 0.0, 0.0)
|
|
|
- var thirtyDays_: (TIR: Double, hypos: Double, hypers: Double) = (0.0, 0.0, 0.0)
|
|
|
- var totalDays_: (TIR: Double, hypos: Double, hypers: Double) = (0.0, 0.0, 0.0)
|
|
|
-
|
|
|
- // Get all TIR calcs for every case
|
|
|
- if nr_bgs > 0 {
|
|
|
- oneDay_ = tir(bgArray_1)
|
|
|
- sevenDays_ = tir(bgArray_7)
|
|
|
- thirtyDays_ = tir(bgArray_30)
|
|
|
- totalDays_ = tir(bgArrayForTIR)
|
|
|
- }
|
|
|
+ var oneDay_: (TIR: Double, hypos: Double, hypers: Double, normal_: Double) = (0.0, 0.0, 0.0, 0.0)
|
|
|
+ var sevenDays_: (TIR: Double, hypos: Double, hypers: Double, normal_: Double) = (0.0, 0.0, 0.0, 0.0)
|
|
|
+ var thirtyDays_: (TIR: Double, hypos: Double, hypers: Double, normal_: Double) = (0.0, 0.0, 0.0, 0.0)
|
|
|
+ var totalDays_: (TIR: Double, hypos: Double, hypers: Double, normal_: Double) = (0.0, 0.0, 0.0, 0.0)
|
|
|
+ // Get TIR computations for every case
|
|
|
+ oneDay_ = tir(glucose_24)
|
|
|
+ sevenDays_ = tir(glucose_7)
|
|
|
+ thirtyDays_ = tir(glucose_30)
|
|
|
+ totalDays_ = tir(glucose)
|
|
|
|
|
|
let tir = Durations(
|
|
|
day: roundDecimal(Decimal(oneDay_.TIR), 1),
|
|
|
@@ -1110,53 +1045,89 @@ final class BaseAPSManager: APSManager, Injectable {
|
|
|
month: roundDecimal(Decimal(thirtyDays_.TIR), 1),
|
|
|
total: roundDecimal(Decimal(totalDays_.TIR), 1)
|
|
|
)
|
|
|
-
|
|
|
let hypo = Durations(
|
|
|
day: Decimal(oneDay_.hypos),
|
|
|
week: Decimal(sevenDays_.hypos),
|
|
|
month: Decimal(thirtyDays_.hypos),
|
|
|
total: Decimal(totalDays_.hypos)
|
|
|
)
|
|
|
-
|
|
|
let hyper = Durations(
|
|
|
day: Decimal(oneDay_.hypers),
|
|
|
week: Decimal(sevenDays_.hypers),
|
|
|
month: Decimal(thirtyDays_.hypers),
|
|
|
total: Decimal(totalDays_.hypers)
|
|
|
)
|
|
|
-
|
|
|
+ let normal = Durations(
|
|
|
+ day: Decimal(oneDay_.normal_),
|
|
|
+ week: Decimal(sevenDays_.normal_),
|
|
|
+ month: Decimal(thirtyDays_.normal_),
|
|
|
+ total: Decimal(totalDays_.normal_)
|
|
|
+ )
|
|
|
let range = Threshold(
|
|
|
low: units == .mmolL ? roundDecimal(settingsManager.settings.low.asMmolL, 1) :
|
|
|
roundDecimal(settingsManager.settings.low, 0),
|
|
|
high: units == .mmolL ? roundDecimal(settingsManager.settings.high.asMmolL, 1) :
|
|
|
roundDecimal(settingsManager.settings.high, 0)
|
|
|
)
|
|
|
-
|
|
|
let TimeInRange = TIRs(
|
|
|
TIR: tir,
|
|
|
Hypos: hypo,
|
|
|
Hypers: hyper,
|
|
|
- Threshold: range
|
|
|
+ Threshold: range,
|
|
|
+ Euglycemic: normal
|
|
|
)
|
|
|
-
|
|
|
let avgs = Durations(
|
|
|
- day: roundDecimal(bg_1, 1),
|
|
|
- week: roundDecimal(bg_7, 1),
|
|
|
- month: roundDecimal(bg_30, 1),
|
|
|
- total: roundDecimal(bg_total, 1)
|
|
|
+ day: roundDecimal(Decimal(oneDayGlucose.average), 1),
|
|
|
+ week: roundDecimal(Decimal(sevenDaysGlucose.average), 1),
|
|
|
+ month: roundDecimal(Decimal(thirtyDaysGlucose.average), 1),
|
|
|
+ total: roundDecimal(Decimal(totalDaysGlucose.average), 1)
|
|
|
)
|
|
|
+ let avg = Averages(Average: avgs, Median: median)
|
|
|
+ // Standard Deviations
|
|
|
+ let standardDeviations = Durations(
|
|
|
+ day: roundDecimal(Decimal(oneDayGlucose.sd), 1),
|
|
|
+ week: roundDecimal(Decimal(sevenDaysGlucose.sd), 1),
|
|
|
+ month: roundDecimal(Decimal(thirtyDaysGlucose.sd), 1),
|
|
|
+ total: roundDecimal(Decimal(totalDaysGlucose.sd), 1)
|
|
|
+ )
|
|
|
+ // CV = standard deviation / sample mean x 100
|
|
|
+ let cvs = Durations(
|
|
|
+ day: roundDecimal(Decimal(oneDayGlucose.cv), 1),
|
|
|
+ week: roundDecimal(Decimal(sevenDaysGlucose.cv), 1),
|
|
|
+ month: roundDecimal(Decimal(thirtyDaysGlucose.cv), 1),
|
|
|
+ total: roundDecimal(Decimal(totalDaysGlucose.cv), 1)
|
|
|
+ )
|
|
|
+ let variance = Variance(SD: standardDeviations, CV: cvs)
|
|
|
|
|
|
- let saveAverages = BGaverages(context: self.coredataContext)
|
|
|
- saveAverages.date = Date()
|
|
|
- saveAverages.average = bg_total as NSDecimalNumber
|
|
|
- saveAverages.average_1 = bg_1 as NSDecimalNumber
|
|
|
- saveAverages.average_7 = bg_7 as NSDecimalNumber
|
|
|
- saveAverages.average_30 = bg_30 as NSDecimalNumber
|
|
|
- try? self.coredataContext.save()
|
|
|
+ // Loops
|
|
|
+ var lsr = [LoopStatRecord]()
|
|
|
+ let requestLSR = LoopStatRecord.fetchRequest() as NSFetchRequest<LoopStatRecord>
|
|
|
+ requestLSR.predicate = NSPredicate(
|
|
|
+ format: "interval > 0 AND start > %@",
|
|
|
+ Date().addingTimeInterval(-24.hours.timeInterval) as NSDate
|
|
|
+ )
|
|
|
+ let sortLSR = NSSortDescriptor(key: "start", ascending: false)
|
|
|
+ requestLSR.sortDescriptors = [sortLSR]
|
|
|
+ try? lsr = coredataContext.fetch(requestLSR)
|
|
|
+ // Compute LoopStats for 24 hours
|
|
|
+ let oneDayLoops = loops(lsr)
|
|
|
+ let loopstat = LoopCycles(
|
|
|
+ loops: oneDayLoops.loops,
|
|
|
+ errors: oneDayLoops.errors,
|
|
|
+ readings: Int(oneDayGlucose.readings),
|
|
|
+ success_rate: oneDayLoops.success_rate,
|
|
|
+ avg_interval: oneDayLoops.avg_interval,
|
|
|
+ median_interval: oneDayLoops.median_interval,
|
|
|
+ min_interval: oneDayLoops.min_interval,
|
|
|
+ max_interval: oneDayLoops.max_interval,
|
|
|
+ avg_duration: oneDayLoops.avg_duration,
|
|
|
+ median_duration: oneDayLoops.median_duration,
|
|
|
+ min_duration: oneDayLoops.max_duration,
|
|
|
+ max_duration: oneDayLoops.max_duration
|
|
|
+ )
|
|
|
|
|
|
- let avg = Averages(Average: avgs, Median: median)
|
|
|
+ // Insulin
|
|
|
var insulinDistribution = [InsulinDistribution]()
|
|
|
-
|
|
|
var insulin = Ins(
|
|
|
TDD: 0,
|
|
|
bolus: 0,
|
|
|
@@ -1164,13 +1135,10 @@ final class BaseAPSManager: APSManager, Injectable {
|
|
|
scheduled_basal: 0,
|
|
|
total_average: 0
|
|
|
)
|
|
|
-
|
|
|
let requestInsulinDistribution = InsulinDistribution.fetchRequest() as NSFetchRequest<InsulinDistribution>
|
|
|
let sortInsulin = NSSortDescriptor(key: "date", ascending: false)
|
|
|
requestInsulinDistribution.sortDescriptors = [sortInsulin]
|
|
|
-
|
|
|
try? insulinDistribution = coredataContext.fetch(requestInsulinDistribution)
|
|
|
-
|
|
|
insulin = Ins(
|
|
|
TDD: roundDecimal(currentTDD, 2),
|
|
|
bolus: insulinDistribution.first != nil ? ((insulinDistribution.first?.bolus ?? 0) as Decimal) : 0,
|
|
|
@@ -1180,74 +1148,6 @@ final class BaseAPSManager: APSManager, Injectable {
|
|
|
total_average: roundDecimal(tddTotalAverage, 1)
|
|
|
)
|
|
|
|
|
|
- var sumOfSquares = 0.0
|
|
|
- var sumOfSquares_1 = 0.0
|
|
|
- var sumOfSquares_7 = 0.0
|
|
|
- var sumOfSquares_30 = 0.0
|
|
|
-
|
|
|
- // Total
|
|
|
- for array in bgArray {
|
|
|
- sumOfSquares += pow(array - Double(bg_total), 2)
|
|
|
- }
|
|
|
- // One day
|
|
|
- for array_1 in bgArray_1_ {
|
|
|
- sumOfSquares_1 += pow(array_1 - Double(bg_1), 2)
|
|
|
- }
|
|
|
- // week
|
|
|
- for array_7 in bgArray_7_ {
|
|
|
- sumOfSquares_7 += pow(array_7 - Double(bg_7), 2)
|
|
|
- }
|
|
|
- // month
|
|
|
- for array_30 in bgArray_30_ {
|
|
|
- sumOfSquares_30 += pow(array_30 - Double(bg_30), 2)
|
|
|
- }
|
|
|
-
|
|
|
- // Standard deviation and Coefficient of variation
|
|
|
- var sd_total = 0.0
|
|
|
- var cv_total = 0.0
|
|
|
- var sd_1 = 0.0
|
|
|
- var cv_1 = 0.0
|
|
|
- var sd_7 = 0.0
|
|
|
- var cv_7 = 0.0
|
|
|
- var sd_30 = 0.0
|
|
|
- var cv_30 = 0.0
|
|
|
-
|
|
|
- // Avoid division by zero
|
|
|
- if bg_total > 0 {
|
|
|
- sd_total = sqrt(sumOfSquares / Double(nr_bgs))
|
|
|
- cv_total = sd_total / Double(bg_total) * 100
|
|
|
- }
|
|
|
- if bg_1 > 0 {
|
|
|
- sd_1 = sqrt(sumOfSquares_1 / Double(bgArray_1_.count))
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- cv_1 = sd_1 / Double(bg_1) * 100
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- }
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- if bg_7 > 0 {
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- sd_7 = sqrt(sumOfSquares_7 / Double(bgArray_7_.count))
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- cv_7 = sd_7 / Double(bg_7) * 100
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- }
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- if bg_30 > 0 {
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- sd_30 = sqrt(sumOfSquares_30 / Double(bgArray_30_.count))
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- cv_30 = sd_30 / Double(bg_30) * 100
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- }
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-
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- // Standard Deviations
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- let standardDeviations = Durations(
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- day: roundDecimal(Decimal(sd_1), 1),
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- week: roundDecimal(Decimal(sd_7), 1),
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- month: roundDecimal(Decimal(sd_30), 1),
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- total: roundDecimal(Decimal(sd_total), 1)
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- )
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-
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- // CV = standard deviation / sample mean x 100
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- let cvs = Durations(
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- day: roundDecimal(Decimal(cv_1), 1),
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- week: roundDecimal(Decimal(cv_7), 1),
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- month: roundDecimal(Decimal(cv_30), 1),
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- total: roundDecimal(Decimal(cv_total), 1)
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- )
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-
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- let variance = Variance(SD: standardDeviations, CV: cvs)
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-
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let dailystat = Statistics(
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created_at: Date(),
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iPhone: UIDevice.current.getDeviceId,
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@@ -1274,7 +1174,6 @@ final class BaseAPSManager: APSManager, Injectable {
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Variance: variance
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)
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)
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-
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storage.save(dailystat, as: file)
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nightscout.uploadStatistics(dailystat: dailystat)
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nightscout.uploadPreferences()
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Jon Mårtensson