dae1369cd8
* Refactor unit conversion * ref #136: Fix cloud cover, surface level pressure, sealevel pressure and relative humidity are not included in forecast values * Unit conversions * Update pipeline * Remove apk archival step * fix #128: Remove absolute displayed wind speed, text on indicator settings, userwindSpeed datatype * fix #98: Show temperature, precipitation, temperature forecasts as line graphs * Add WindDirectionAndSpeedDataType * Disable line graph forecast when using openweathermap * Fix wind on main menu forecast display
265 lines
12 KiB
Kotlin
265 lines
12 KiB
Kotlin
package de.timklge.karooheadwind
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import android.util.Log
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import com.mapbox.geojson.LineString
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import com.mapbox.turf.TurfConstants
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import com.mapbox.turf.TurfMeasurement
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import de.timklge.karooheadwind.datatypes.CloudCoverDataType
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import de.timklge.karooheadwind.datatypes.GpsCoordinates
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import de.timklge.karooheadwind.datatypes.GraphicalForecastDataType
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import de.timklge.karooheadwind.datatypes.HeadwindDirectionDataType
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import de.timklge.karooheadwind.datatypes.HeadwindSpeedDataType
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import de.timklge.karooheadwind.datatypes.PrecipitationDataType
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import de.timklge.karooheadwind.datatypes.PrecipitationForecastDataType
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import de.timklge.karooheadwind.datatypes.RelativeElevationGainDataType
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import de.timklge.karooheadwind.datatypes.RelativeGradeDataType
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import de.timklge.karooheadwind.datatypes.RelativeHumidityDataType
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import de.timklge.karooheadwind.datatypes.SealevelPressureDataType
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import de.timklge.karooheadwind.datatypes.SurfacePressureDataType
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import de.timklge.karooheadwind.datatypes.TailwindAndRideSpeedDataType
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import de.timklge.karooheadwind.datatypes.WindDirectionAndSpeedDataType
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import de.timklge.karooheadwind.datatypes.TemperatureDataType
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import de.timklge.karooheadwind.datatypes.TemperatureForecastDataType
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import de.timklge.karooheadwind.datatypes.WeatherDataType
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import de.timklge.karooheadwind.datatypes.WeatherForecastDataType
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import de.timklge.karooheadwind.datatypes.WindDirectionDataType
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import de.timklge.karooheadwind.datatypes.WindForecastDataType
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import de.timklge.karooheadwind.datatypes.WindGustsDataType
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import de.timklge.karooheadwind.datatypes.WindSpeedDataType
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import de.timklge.karooheadwind.weatherprovider.WeatherProviderFactory
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import io.hammerhead.karooext.KarooSystemService
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import io.hammerhead.karooext.extension.KarooExtension
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import io.hammerhead.karooext.models.UserProfile
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import kotlinx.coroutines.CoroutineScope
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import kotlinx.coroutines.Dispatchers
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import kotlinx.coroutines.ExperimentalCoroutinesApi
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import kotlinx.coroutines.FlowPreview
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import kotlinx.coroutines.Job
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import kotlinx.coroutines.delay
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import kotlinx.coroutines.flow.combine
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import kotlinx.coroutines.flow.distinctUntilChanged
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import kotlinx.coroutines.flow.distinctUntilChangedBy
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import kotlinx.coroutines.flow.filter
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import kotlinx.coroutines.flow.first
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import kotlinx.coroutines.flow.map
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import kotlinx.coroutines.flow.retry
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import kotlinx.coroutines.flow.transformLatest
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import kotlinx.coroutines.launch
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import kotlinx.coroutines.time.debounce
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import java.time.Duration
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import java.time.LocalDateTime
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import java.time.temporal.ChronoUnit
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import kotlin.math.absoluteValue
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import kotlin.math.roundToInt
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import kotlin.time.Duration.Companion.hours
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import kotlin.time.Duration.Companion.minutes
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class KarooHeadwindExtension : KarooExtension("karoo-headwind", BuildConfig.VERSION_NAME) {
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companion object {
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const val TAG = "karoo-headwind"
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}
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private lateinit var karooSystem: KarooSystemService
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private var updateLastKnownGpsJob: Job? = null
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private var serviceJob: Job? = null
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override val types by lazy {
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listOf(
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HeadwindDirectionDataType(karooSystem, applicationContext),
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TailwindAndRideSpeedDataType(karooSystem, applicationContext),
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WeatherDataType(karooSystem, applicationContext),
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WeatherForecastDataType(karooSystem),
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HeadwindSpeedDataType(karooSystem, applicationContext),
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RelativeHumidityDataType(karooSystem, applicationContext),
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CloudCoverDataType(karooSystem, applicationContext),
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WindGustsDataType(karooSystem, applicationContext),
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WindSpeedDataType(karooSystem, applicationContext),
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TemperatureDataType(karooSystem, applicationContext),
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WindDirectionDataType(karooSystem, applicationContext),
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WindDirectionAndSpeedDataType(karooSystem, applicationContext),
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PrecipitationDataType(karooSystem, applicationContext),
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SurfacePressureDataType(karooSystem, applicationContext),
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SealevelPressureDataType(karooSystem, applicationContext),
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TemperatureForecastDataType(karooSystem),
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PrecipitationForecastDataType(karooSystem),
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WindForecastDataType(karooSystem),
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GraphicalForecastDataType(karooSystem),
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WindDirectionAndSpeedDataType(karooSystem, applicationContext),
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RelativeGradeDataType(karooSystem, applicationContext),
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RelativeElevationGainDataType(karooSystem, applicationContext),
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)
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}
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@OptIn(ExperimentalCoroutinesApi::class, FlowPreview::class)
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override fun onCreate() {
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super.onCreate()
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karooSystem = KarooSystemService(applicationContext)
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ServiceStatusSingleton.getInstance().setServiceStatus(true)
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updateLastKnownGpsJob = CoroutineScope(Dispatchers.IO).launch {
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karooSystem.updateLastKnownGps(this@KarooHeadwindExtension)
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}
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serviceJob = CoroutineScope(Dispatchers.IO).launch {
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karooSystem.connect { connected ->
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if (connected) {
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Log.d(TAG, "Connected to Karoo system")
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}
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}
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val gpsFlow = karooSystem
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.getGpsCoordinateFlow(this@KarooHeadwindExtension)
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.distinctUntilChanged { old, new ->
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if (old != null && new != null) {
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old.distanceTo(new).absoluteValue < 0.001
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} else {
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old == new
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}
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}
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.debounce(Duration.ofSeconds(5))
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var requestedGpsCoordinates: List<GpsCoordinates> = emptyList()
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val settingsStream = streamSettings(karooSystem).filter { it.welcomeDialogAccepted }
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data class StreamData(val settings: HeadwindSettings, val gps: GpsCoordinates?, val profile: UserProfile?, val upcomingRoute: UpcomingRoute?)
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data class StreamDataIdentity(val settings: HeadwindSettings, val gpsLat: Double?, val gpsLon: Double?, val profile: UserProfile?, val routePolyline: LineString?)
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combine(settingsStream, gpsFlow, karooSystem.streamUserProfile(), karooSystem.streamUpcomingRoute()) { settings, gps, profile, upcomingRoute ->
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StreamData(settings, gps, profile, upcomingRoute)
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}
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.distinctUntilChangedBy { StreamDataIdentity(it.settings, it.gps?.lat, it.gps?.lon, it.profile, it.upcomingRoute?.routePolyline) }
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.transformLatest { value ->
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while(true){
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emit(value)
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delay(1.hours)
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}
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}
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.map { (settings: HeadwindSettings, gps, profile, upcomingRoute) ->
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Log.d(TAG, "Acquired updated gps coordinates: $gps")
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val lastKnownStats = try {
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streamStats().first()
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} catch(e: Exception){
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Log.e(TAG, "Failed to read stats", e)
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HeadwindStats()
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}
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if (gps == null){
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error("No GPS coordinates available")
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}
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if (upcomingRoute != null){
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val positionOnRoute = upcomingRoute.distanceAlongRoute
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Log.i(TAG, "Position on route: ${positionOnRoute}m")
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val distancePerHour = settings.getForecastMetersPerHour(profile?.preferredUnit?.distance == UserProfile.PreferredUnit.UnitType.IMPERIAL).toDouble()
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val msSinceFullHour = let {
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val now = LocalDateTime.now()
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val startOfHour = now.truncatedTo(ChronoUnit.HOURS)
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ChronoUnit.MILLIS.between(startOfHour, now)
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}
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val msToNextFullHour = (1_000 * 60 * 60) - msSinceFullHour
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val calculatedDistanceToNextFullHour = ((msToNextFullHour / (1_000.0 * 60 * 60)) * distancePerHour).coerceIn(0.0, distancePerHour)
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Log.d(TAG, "Minutes to next full hour: ${msToNextFullHour / 1000 / 60}, Distance to next full hour: ${(calculatedDistanceToNextFullHour / 1000).roundToInt()}km")
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requestedGpsCoordinates = buildList {
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add(GpsCoordinates(gps.lat, gps.lon, gps.bearing, distanceAlongRoute = positionOnRoute))
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var currentPosition = positionOnRoute + calculatedDistanceToNextFullHour
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var lastRequestedPosition = positionOnRoute
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while (currentPosition < upcomingRoute.routeLength && size < 10) {
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val point = TurfMeasurement.along(
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upcomingRoute.routePolyline,
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currentPosition,
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TurfConstants.UNIT_METERS
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)
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add(
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GpsCoordinates(
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point.latitude(),
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point.longitude(),
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distanceAlongRoute = currentPosition
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)
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)
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lastRequestedPosition = currentPosition
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currentPosition += distancePerHour
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}
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if (upcomingRoute.routeLength > lastRequestedPosition + 1_000) {
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val point = TurfMeasurement.along(
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upcomingRoute.routePolyline,
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upcomingRoute.routeLength,
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TurfConstants.UNIT_METERS
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)
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add(
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GpsCoordinates(
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point.latitude(),
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point.longitude(),
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distanceAlongRoute = upcomingRoute.routeLength
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)
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)
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}
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}
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} else {
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requestedGpsCoordinates = mutableListOf(gps)
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}
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val response = try {
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WeatherProviderFactory.makeWeatherRequest(karooSystem, requestedGpsCoordinates, settings, profile)
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} catch(e: Throwable){
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val stats = lastKnownStats.copy(failedWeatherRequest = System.currentTimeMillis())
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launch {
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try {
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saveStats(this@KarooHeadwindExtension, stats)
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} catch(e: Exception){
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Log.e(TAG, "Failed to write stats", e)
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}
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}
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throw e
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}
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try {
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val stats = lastKnownStats.copy(
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lastSuccessfulWeatherRequest = System.currentTimeMillis(),
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lastSuccessfulWeatherPosition = gps,
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lastSuccessfulWeatherProvider = response.provider
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)
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launch { saveStats(this@KarooHeadwindExtension, stats) }
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} catch(e: Exception){
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Log.e(TAG, "Failed to write stats", e)
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}
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response
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}.retry(Long.MAX_VALUE) { e ->
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Log.w(TAG, "Failed to get weather data", e)
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delay(1.minutes); true
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}.collect { response ->
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try {
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saveCurrentData(applicationContext, response)
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Log.d(TAG, "Got updated weather info: $response")
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saveWidgetSettings(applicationContext, HeadwindWidgetSettings(currentForecastHourOffset = 0))
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} catch(e: Exception){
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Log.e(TAG, "Failed to read current weather data", e)
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}
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}
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}
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}
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override fun onDestroy() {
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serviceJob?.cancel()
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serviceJob = null
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updateLastKnownGpsJob?.cancel()
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updateLastKnownGpsJob = null
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karooSystem.disconnect()
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super.onDestroy()
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}
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} |