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Abort Autotune Run if no valid profile on first selected day

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This commit is contained in:
Philoul 2022-08-16 23:06:28 +02:00
parent f22c8ca642
commit 0af05deae9
2 changed files with 13 additions and 4 deletions
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8
app/src/main/java/info/nightscout/androidaps/plugins/general/autotune/AutotuneIob.kt
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@ -35,10 +35,8 @@ open class AutotuneIob @Inject constructor(
private val profileFunction: ProfileFunction,
private val sp: SP,
private val dateUtil: DateUtil,
private val activePlugin: ActivePlugin,
private val autotuneFS: AutotuneFS
) {
private var nsTreatments = ArrayList<NsTreatment>()
private var dia: Double = Constants.defaultDIA
var boluses: ArrayList<Bolus> = ArrayList()
@ -54,7 +52,11 @@ open class AutotuneIob @Inject constructor(
startBG = from
endBG = to
nsTreatments.clear()
meals.clear()
boluses.clear()
tempBasals = ArrayList<TemporaryBasal>()
if (profileFunction.getProfile(from - range()) == null)
return
initializeBgreadings(from, to)
initializeTreatmentData(from - range(), to)
initializeTempBasalData(from - range(), to, tunedProfile)
@ -91,8 +93,6 @@ open class AutotuneIob @Inject constructor(
aapsLogger.debug(LTag.AUTOTUNE, "Check BG date: BG Size: " + glucose.size + " OldestBG: " + dateUtil.dateAndTimeAndSecondsString(oldestBgDate) + " to: " + dateUtil.dateAndTimeAndSecondsString(to))
val tmpCarbs = repository.getCarbsDataFromTimeToTimeExpanded(from, to, false).blockingGet()
aapsLogger.debug(LTag.AUTOTUNE, "Nb treatments after query: " + tmpCarbs.size)
meals.clear()
boluses.clear()
var nbCarbs = 0
for (i in tmpCarbs.indices) {
val tp = tmpCarbs[i]

9
app/src/main/java/info/nightscout/androidaps/plugins/general/autotune/AutotunePlugin.kt
View file

@ -134,6 +134,15 @@ class AutotunePlugin @Inject constructor(
log("Tune day " + (i + 1) + " of " + daysBack)
tunedProfile?.let { it ->
autotuneIob.initializeData(from, to, it) //autotuneIob contains BG and Treatments data from history (<=> query for ns-treatments and ns-entries)
if (autotuneIob.boluses.size == 0) {
result = rh.gs(R.string.autotune_error)
log("No basal data on day ${i + 1}")
autotuneFS.exportResult(result)
autotuneFS.exportLogAndZip(lastRun)
rxBus.send(EventAutotuneUpdateGui())
calculationRunning = false
return
}
autotuneFS.exportEntries(autotuneIob) //<=> ns-entries.yyyymmdd.json files exported for results compare with oref0 autotune on virtual machine
autotuneFS.exportTreatments(autotuneIob) //<=> ns-treatments.yyyymmdd.json files exported for results compare with oref0 autotune on virtual machine (include treatments ,tempBasal and extended
preppedGlucose = autotunePrep.categorize(it) //<=> autotune.yyyymmdd.json files exported for results compare with oref0 autotune on virtual machine