Added checks, comments and cleanup
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@ -8,7 +8,9 @@ import info.nightscout.interfaces.plugin.PluginDescription
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import info.nightscout.interfaces.plugin.PluginType
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import info.nightscout.interfaces.plugin.PluginType
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import info.nightscout.interfaces.smoothing.Smoothing
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import info.nightscout.interfaces.smoothing.Smoothing
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import info.nightscout.rx.logging.AAPSLogger
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import info.nightscout.rx.logging.AAPSLogger
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import info.nightscout.rx.logging.LTag
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import info.nightscout.shared.interfaces.ResourceHelper
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import info.nightscout.shared.interfaces.ResourceHelper
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import info.nightscout.shared.utils.T
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import javax.inject.Inject
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import javax.inject.Inject
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import javax.inject.Singleton
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import javax.inject.Singleton
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import kotlin.math.max
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import kotlin.math.max
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@ -34,27 +36,29 @@ class AvgSmoothingPlugin @Inject constructor(
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override fun smooth(data: MutableList<InMemoryGlucoseValue>): MutableList<InMemoryGlucoseValue> {
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override fun smooth(data: MutableList<InMemoryGlucoseValue>): MutableList<InMemoryGlucoseValue> {
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for (i in data.lastIndex -1 downTo 1) {
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for (i in data.lastIndex -1 downTo 1) {
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// TODO: Bucketed is always calculated to 5 min (CHECK!), Maybe add a separate timecheck?
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// Check if value's are in a valid range
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// TODO: We could further improve this by adding a weight to the neighbours
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// Bucketed is always calculated to 5 min, we still check if our data is evenly spaced with an allowance of 30 seconds
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if (isValid(data[i].value) && isValid(data[i - 1].value) && isValid(data[i + 1].value))
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if (isValid(data[i].value) && isValid(data[i - 1].value) && isValid(data[i + 1].value)
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&& Math.abs(data[i].timestamp - data[i - 1].timestamp - (data[i + 1].timestamp - data[i].timestamp)) < T.secs(30).msecs())
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{
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{
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var result = ((data[i - 1].value + data[i].value + data[i + 1].value) / 3.0)
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// We could further improve this by adding a weight to the neighbours, for simplicity this is not done.
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data[i].smoothed = result
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data[i].smoothed = ((data[i - 1].value + data[i].value + data[i + 1].value) / 3.0)
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aapsLogger.debug("RESULT $result")
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}
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}
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else
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else
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{
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{
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// TODO: Decide what to do here
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// data[i].smoothed = data[i].value
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data[i].smoothed = data[i].value
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val currentTime = data[i].timestamp
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val value = data[i].value
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aapsLogger.debug(LTag.GLUCOSE, "Value: $value at $currentTime not smoothed")
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}
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}
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}
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}
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// We leave the data we can not smooth as is, alternativly we could provide raw value's to the smoothed value's:
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// append data we cannot smooth
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// data[data.lastIndex].smoothed = data[data.lastIndex].value
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data[data.lastIndex].smoothed = data[data.lastIndex].value
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// data[0].smoothed = data[0].value
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data[0].smoothed = data[0].value
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return data
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return data
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}
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}
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private fun isValid(n: Double): Boolean {
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private fun isValid(n: Double): Boolean {
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// For Dexcom: Below 39 is LOW, above 401 Dexcom just says HI
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return n > 39 && n < 401
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return n > 39 && n < 401
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}
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}
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}
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}
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@ -5,7 +5,7 @@
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<string name="exponential_smoothing_name">Exponential smoothing</string>
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<string name="exponential_smoothing_name">Exponential smoothing</string>
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<string name="description_exponential_smoothing">"Second-order exponential smoothing algorithm"</string>
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<string name="description_exponential_smoothing">"Second-order exponential smoothing algorithm"</string>
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<string name="avg_smoothing_name">Average smoothing</string>
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<string name="avg_smoothing_name">Average smoothing</string>
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<string name="description_avg_smoothing">"(Weighted) Average smoothing, newest data is not affected"</string>
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<string name="description_avg_smoothing">"Average smoothing algorithm, newest value is not affected"</string>
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<string name="no_smoothing_name">No smoothing</string>
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<string name="no_smoothing_name">No smoothing</string>
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<string name="description_no_smoothing">"No smoothing performed on input glucose data"</string>
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<string name="description_no_smoothing">"No smoothing performed on input glucose data"</string>
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</resources>
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</resources>
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