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15 changed files with 113 additions and 548 deletions

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@ -29,13 +29,12 @@ After installing this app on your Karoo and opening it once from the main menu,
- Weather forecast (graphical, 2x1 field): Shows three columns indicating the current weather conditions (sunny, cloudy, ...), wind direction, precipitation and temperature forecasted for the next three hours. Tap on this widget to cycle through the 12 hour forecast. If you have a route loaded, the forecast widget will show the forecasted weather along points of the route, with an estimated traveled distance per hour of 20 km / 12 miles by default. If placed in a 1x1 datafield, only the current weather conditions are shown.
- Relative grade (numerical): Shows the relative grade. The relative grade is calculated by estimating the force of the headwind, and then calculating the gradient you would need to ride at to experience this resistance if there was no wind. Example: If you are riding on an actual gradient of 2 %, face a headwind of 18 km/h while riding at 29 km/h, the relative grade will be shown as 5.2 % (with 3.2 % added to the actual grade due to the headwind).
- Relative elevation gain (numerical): Shows the relative elegation gain. The relative elevation gain is calculated using the relative grade and is an estimation of how much climbing would have been equivalent to the headwind you faced during the ride.
- Resistance forces (graphical, 2x1 field): Shows a graphical representation of the different forces you have to overcome while riding, including gravity (actual gradient), rolling resistance (based on speed and weight), aerodynamic drag (based on speed) and wind resistance (based on headwind speed). The app reads your weight from your karoo user profile and uses rough estimates for CdA and Crr.
- Additionally, data fields that only show the current data value for headwind speed, humidity, cloud cover, absolute wind speed, absolute wind gust speed, absolute wind direction, rainfall and surface pressure can be added if desired.
The app can use OpenMeteo or OpenWeatherMap as providers for live weather data.
- OpenMeteo is the default provider and does not require any configuration. Wind speed will be reported in km/h if your karoo is set to metric units or mph if set to imperial.
- OpenWeatherMap can provide more accurate data for some locations. Forecasts along the loaded route are not available using OpenWeatherMap. OpenWeatherMap is free for personal use, but you need to register at https://openweathermap.org/home/sign_in and obtain a one call API key (e. g. by subscribing to "One Call API 3.0" from the [pricing page](https://openweathermap.org/price)). You can enter your API key in the app settings. Please note that it can take a few hours before OpenWeatherMap enables the key. You can check if your key is enabled by entering it in the app settings and pressing "Test API Key". Wind speed will be reported in km/h if your Karoo is set to metric units and miles per hour if set to imperial.
- OpenWeatherMap can provide more accurate data for some locations. Forecasts along the loaded route are not available using OpenWeatherMap. OpenWeatherMap is free for personal use, but you need to register at https://openweathermap.org/home/sign_in and obtain a one call API key (e. g. by subscribing to "One Call API 3.0" from the [pricing page](https://openweathermap.org/price)). You can enter your API key in the app settings. Please note that it can take a few hours before OpenWeatherMap enables the key. You can check if your key is enabled by entering it in the app settings and pressing "Test API Key". Wind speed will be reported in meters per second if your Karoo is set to metric units and miles per hour if set to imperial.
The app will automatically attempt to download weather data from the selected data provider once your device has acquired a GPS fix. Your location is rounded to approximately three kilometers to maintain privacy.
New weather data is downloaded when you ride more than three kilometers from the location where the weather data was downloaded for or after one hour at the latest.

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@ -72,7 +72,7 @@ tasks.register("generateManifest") {
"latestVersionCode" to android.defaultConfig.versionCode,
"developer" to "github.com/timklge",
"description" to "Open-source extension that provides headwind direction, wind speed, forecast and other weather data fields.",
"releaseNotes" to "* Open main extension menu when clicking on graphical headwind / tailwind datafield\n* Only update position if the estimated accuracy is within 500 meters\n* Add force distribution datafield\n* Only increase relative elevation gain when relative grade is positive",
"releaseNotes" to "* Add UV-index datafield (thx @saversux!)\n* Readd a datafield that shows headwind direction and absolute wind speed datafield\n* Split wind forecast field into wind and headwind forecast fields",
"screenshotUrls" to listOf(
"$baseUrl/preview1.png",
"$baseUrl/preview3.png",

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@ -2,6 +2,7 @@ package de.timklge.karooheadwind
import io.hammerhead.karooext.KarooSystemService
import io.hammerhead.karooext.models.ActiveRidePage
import io.hammerhead.karooext.models.OnLocationChanged
import io.hammerhead.karooext.models.OnNavigationState
import io.hammerhead.karooext.models.OnStreamState
import io.hammerhead.karooext.models.RideState
@ -13,6 +14,7 @@ import kotlinx.coroutines.flow.Flow
import kotlinx.coroutines.flow.callbackFlow
import kotlinx.coroutines.flow.conflate
import kotlinx.coroutines.flow.map
import kotlinx.coroutines.flow.sample
import kotlinx.coroutines.flow.transform
fun KarooSystemService.streamDataFlow(dataTypeId: String): Flow<StreamState> {
@ -26,6 +28,17 @@ fun KarooSystemService.streamDataFlow(dataTypeId: String): Flow<StreamState> {
}
}
fun KarooSystemService.streamLocation(): Flow<OnLocationChanged> {
return callbackFlow {
val listenerId = addConsumer { event: OnLocationChanged ->
trySendBlocking(event)
}
awaitClose {
removeConsumer(listenerId)
}
}
}
fun KarooSystemService.streamNavigationState(): Flow<OnNavigationState> {
return callbackFlow {
val listenerId = addConsumer { event: OnNavigationState ->

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@ -12,11 +12,11 @@ import kotlinx.coroutines.flow.Flow
import kotlinx.coroutines.flow.combine
import kotlinx.coroutines.flow.distinctUntilChanged
import kotlinx.coroutines.flow.emitAll
import kotlinx.coroutines.flow.filter
import kotlinx.coroutines.flow.filterNotNull
import kotlinx.coroutines.flow.firstOrNull
import kotlinx.coroutines.flow.flow
import kotlinx.coroutines.flow.map
import kotlinx.coroutines.flow.mapNotNull
sealed class HeadingResponse {
data object NoGps: HeadingResponse()
@ -108,9 +108,8 @@ fun KarooSystemService.getGpsCoordinateFlow(context: Context): Flow<GpsCoordinat
val lat = dataPoint.values[DataType.Field.LOC_LATITUDE]
val lng = dataPoint.values[DataType.Field.LOC_LONGITUDE]
val orientation = dataPoint.values[DataType.Field.LOC_BEARING]
val accuracy = dataPoint.values[DataType.Field.LOC_ACCURACY]
if (lat != null && lng != null && accuracy != null && accuracy < 500) {
if (lat != null && lng != null) {
emit(GpsCoordinates(lat, lng, orientation))
Log.i(KarooHeadwindExtension.TAG, "No last known position found, fetched initial GPS position")
@ -131,21 +130,9 @@ fun KarooSystemService.getGpsCoordinateFlow(context: Context): Flow<GpsCoordinat
}
}
val gpsFlow = streamDataFlow(DataType.Type.LOCATION).mapNotNull { it as? StreamState.Streaming }
.mapNotNull { dataPoint ->
val lat = dataPoint.dataPoint.values[DataType.Field.LOC_LATITUDE]
val lng = dataPoint.dataPoint.values[DataType.Field.LOC_LONGITUDE]
val orientation = dataPoint.dataPoint.values[DataType.Field.LOC_BEARING]
val accuracy = dataPoint.dataPoint.values[DataType.Field.LOC_ACCURACY]
Log.i(KarooHeadwindExtension.TAG, "Received GPS update: lat=$lat, lng=$lng, accuracy=$accuracy, orientation=$orientation")
if (lat != null && lng != null && accuracy != null && accuracy < 500) {
GpsCoordinates(lat, lng, orientation)
} else {
null
}
}
val gpsFlow = streamLocation()
.filter { it.orientation != null }
.map { GpsCoordinates(it.lat, it.lng, it.orientation) }
val concatenatedFlow = concatenate(initialFlow, gpsFlow)

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@ -14,7 +14,6 @@ import de.timklge.karooheadwind.datatypes.PrecipitationForecastDataType
import de.timklge.karooheadwind.datatypes.RelativeElevationGainDataType
import de.timklge.karooheadwind.datatypes.RelativeGradeDataType
import de.timklge.karooheadwind.datatypes.RelativeHumidityDataType
import de.timklge.karooheadwind.datatypes.ResistanceForcesDataType
import de.timklge.karooheadwind.datatypes.SealevelPressureDataType
import de.timklge.karooheadwind.datatypes.SurfacePressureDataType
import de.timklge.karooheadwind.datatypes.TailwindAndRideSpeedDataType
@ -88,8 +87,7 @@ class KarooHeadwindExtension : KarooExtension("karoo-headwind", BuildConfig.VERS
RelativeGradeDataType(karooSystem, applicationContext),
RelativeElevationGainDataType(karooSystem, applicationContext),
TemperatureDataType(karooSystem, applicationContext),
UviDataType(karooSystem, applicationContext),
ResistanceForcesDataType(karooSystem, applicationContext)
UviDataType(karooSystem, applicationContext)
)
}

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@ -67,7 +67,7 @@ fun HeadwindDirection(
val baseModifier = GlanceModifier.fillMaxSize().padding(5.dp).background(dayColor, nightColor).cornerRadius(10.dp)
Box(
modifier = if (!preview) baseModifier.clickable(actionStartActivity<MainActivity>()) else baseModifier,
modifier = baseModifier, // TODO if (!preview) baseModifier.clickable(actionStartActivity<MainActivity>()) else baseModifier,
contentAlignment = Alignment(
vertical = Alignment.Vertical.CenterVertically,
horizontal = Alignment.Horizontal.CenterHorizontally,

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@ -55,6 +55,7 @@ class HeadwindForecastDataType(karooSystem: KarooSystemService) : LineGraphForec
}
val headwindPoints = try {
if (upcomingRoute != null){
(0..<HEADWIND_SAMPLE_COUNT).mapNotNull { i ->
val t = i / HEADWIND_SAMPLE_COUNT.toDouble()
@ -66,11 +67,6 @@ class HeadwindForecastDataType(karooSystem: KarooSystemService) : LineGraphForec
y = headwindSpeed)
}
if (upcomingRoute == null) {
Log.e(KarooHeadwindExtension.TAG, "Upcoming route is null")
return@mapNotNull null
}
val beforeLineData = lineData.getOrNull(floor((lineData.size) * t).toInt().coerceAtLeast(0)) ?: lineData.firstOrNull()
val afterLineData = lineData.getOrNull(ceil((lineData.size) * t).toInt().coerceAtLeast(0)) ?: lineData.lastOrNull()
@ -119,6 +115,9 @@ class HeadwindForecastDataType(karooSystem: KarooSystemService) : LineGraphForec
y = headwindSpeedInUserUnit.toFloat()
)
}
} else {
emptyList()
}
} catch(e: Exception) {
Log.e(KarooHeadwindExtension.TAG, "Error calculating headwind points", e)
emptyList()

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@ -30,7 +30,7 @@ class RelativeElevationGainDataType(private val karooSystemService: KarooSystemS
val gradeDifferenceDueToWind = relativeGrade - actualGrade
var intervalWindElevation = 0.0
if (gradeDifferenceDueToWind > 0 && relativeGrade > 0) {
if (gradeDifferenceDueToWind > 0) {
val distanceCovered = riderSpeed * deltaTime
intervalWindElevation = distanceCovered * gradeDifferenceDueToWind
}

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@ -4,9 +4,11 @@ import android.content.Context
import android.util.Log
import de.timklge.karooheadwind.HeadingResponse
import de.timklge.karooheadwind.KarooHeadwindExtension
import de.timklge.karooheadwind.WeatherDataProvider
import de.timklge.karooheadwind.getRelativeHeadingFlow
import de.timklge.karooheadwind.streamCurrentWeatherData
import de.timklge.karooheadwind.streamDataFlow
import de.timklge.karooheadwind.streamSettings
import de.timklge.karooheadwind.streamUserProfile
import de.timklge.karooheadwind.throttle
import io.hammerhead.karooext.KarooSystemService
@ -17,6 +19,7 @@ import io.hammerhead.karooext.models.DataPoint
import io.hammerhead.karooext.models.DataType
import io.hammerhead.karooext.models.StreamState
import io.hammerhead.karooext.models.UpdateGraphicConfig
import io.hammerhead.karooext.models.UserProfile
import io.hammerhead.karooext.models.ViewConfig
import kotlinx.coroutines.CoroutineScope
import kotlinx.coroutines.Dispatchers
@ -33,88 +36,12 @@ import kotlin.math.cos
class RelativeGradeDataType(private val karooSystemService: KarooSystemService, private val context: Context): DataTypeImpl("karoo-headwind", "relativeGrade") {
data class RelativeGradeResponse(val relativeGrade: Double, val actualGrade: Double, val riderSpeed: Double)
data class ResistanceForces(
val airResistanceWithoutWind: Double,
val airResistanceWithWind: Double,
val rollingResistance: Double,
val gravitationalForce: Double
)
companion object {
// Default physical constants - adjust as needed
const val DEFAULT_GRAVITY = 9.80665 // Acceleration due to gravity (m/s^2)
const val DEFAULT_AIR_DENSITY = 1.225 // Air density at sea level, 15°C (kg/m^3)
const val DEFAULT_CDA = 0.4 // Default coefficient of drag * frontal area (m^2). Varies significantly with rider position and equipment.
const val DEFAULT_BIKE_WEIGHT = 9.0 // Default bike weight (kg).
const val DEFAULT_CRR = 0.005 // Default coefficient of rolling resistance
/**
* Estimates the various resistance forces acting on a cyclist.
*
* @param actualGrade The current gradient of the road (unitless, e.g., 0.05 for 5%).
* @param riderSpeed The speed of the rider relative to the ground (m/s). Must be non-negative.
* @param windSpeed The speed of the wind relative to the ground (m/s). Must be non-negative.
* @param windDirectionDegrees The direction of the wind relative to the rider's direction
* of travel (degrees).
* 0 = direct headwind, 90 = crosswind right,
* 180 = direct tailwind, 270 = crosswind left.
* @param totalMass The combined mass of the rider and the bike (kg). Must be positive.
* @param cda The rider's coefficient of drag multiplied by their frontal area (m^2).
* Defaults to DEFAULT_CDA. Represents aerodynamic efficiency.
* @param crr The coefficient of rolling resistance. Defaults to DEFAULT_CRR.
* @param airDensity The density of the air (kg/m^3). Defaults to DEFAULT_AIR_DENSITY.
* @param g The acceleration due to gravity (m/s^2). Defaults to DEFAULT_GRAVITY.
* @return A [ResistanceForces] object containing the calculated forces, or null
* if input parameters are invalid.
*/
fun estimateResistanceForces(
actualGrade: Double,
riderSpeed: Double,
windSpeed: Double,
windDirectionDegrees: Double,
totalMass: Double,
cda: Double = DEFAULT_CDA,
crr: Double = DEFAULT_CRR,
airDensity: Double = DEFAULT_AIR_DENSITY,
g: Double = DEFAULT_GRAVITY
): ResistanceForces? {
// --- Input Validation ---
if (totalMass <= 0.0 || riderSpeed < 0.0 || windSpeed < 0.0 || g <= 0.0 || airDensity < 0.0 || cda < 0.0 || crr < 0.0) {
Log.w(KarooHeadwindExtension.TAG, "Warning: Invalid input parameters for force calculation.")
return null
}
// 1. Calculate wind component parallel to rider's direction
val windComponentParallel = windSpeed * cos(Math.toRadians(windDirectionDegrees))
// 2. Calculate effective air speed
val effectiveAirSpeed = riderSpeed + windComponentParallel
// 3. Calculate aerodynamic resistance factor
val aeroFactor = 0.5 * airDensity * cda
// 4. Calculate air resistance forces
// Drag Force = aeroFactor * speed^2 * sign(speed)
val airResistanceWithWind = aeroFactor * effectiveAirSpeed * abs(effectiveAirSpeed)
val airResistanceWithoutWind = aeroFactor * riderSpeed * abs(riderSpeed)
// 5. Calculate gravitational force (force due to slope)
// Decomposing the gravitational force along the slope
val gravitationalForce = totalMass * g * actualGrade
// 6. Calculate rolling resistance force
// This is simplified; in reality, it's perpendicular to the road surface.
// F_rolling = Crr * N = Crr * m * g * cos(arctan(grade))
// For small angles, cos(arctan(grade)) is close to 1, so we approximate.
val rollingResistance = totalMass * g * crr
return ResistanceForces(
airResistanceWithoutWind = airResistanceWithoutWind,
airResistanceWithWind = airResistanceWithWind,
rollingResistance = rollingResistance,
gravitationalForce = gravitationalForce
)
}
const val DEFAULT_BIKE_WEIGHT = 10.0 // Default bike weight (kg).
/**
* Estimates the "relative grade" experienced by a cyclist.
@ -149,42 +76,42 @@ class RelativeGradeDataType(private val karooSystemService: KarooSystemService,
airDensity: Double = DEFAULT_AIR_DENSITY,
g: Double = DEFAULT_GRAVITY,
): Double {
val forces = estimateResistanceForces(
actualGrade,
riderSpeed,
windSpeed,
windDirectionDegrees,
totalMass,
cda,
DEFAULT_CRR,
airDensity,
g
)
if (forces == null) {
Log.w(KarooHeadwindExtension.TAG, "Could not calculate forces for relative grade.")
// --- Input Validation ---
if (totalMass <= 0.0 || riderSpeed < 0.0 || windSpeed < 0.0 || g <= 0.0 || airDensity < 0.0 || cda < 0.0) {
Log.w(KarooHeadwindExtension.TAG, "Warning: Invalid input parameters. Mass/g must be positive; speeds, airDensity, Cda must be non-negative.")
return Double.NaN
}
if (riderSpeed == 0.0 && windSpeed == 0.0) {
// If no movement and no wind, relative grade is just the actual grade
return actualGrade
}
// The difference in force is purely from the wind.
// This difference in force, when equated to a change in gravitational force, gives the change in grade.
// delta_F_air = F_air_with_wind - F_air_without_wind
// delta_F_air = m * g * delta_grade
// delta_grade = delta_F_air / (m * g)
// relative_grade = actual_grade + delta_grade
val dragForceDifference = forces.airResistanceWithWind - forces.airResistanceWithoutWind
// 1. Calculate the component of wind speed parallel to the rider's direction of travel.
// cos(0 rad) = 1 (headwind), cos(PI rad) = -1 (tailwind)
val windComponentParallel = windSpeed * cos(Math.toRadians(windDirectionDegrees))
// 2. Calculate the effective air speed the rider experiences.
// This is rider speed + the parallel wind component.
val effectiveAirSpeed = riderSpeed + windComponentParallel
// 3. Calculate the aerodynamic resistance factor constant part.
val aeroFactor = 0.5 * airDensity * cda
// 4. Calculate the gravitational force component denominator.
val gravitationalFactor = totalMass * g
if (gravitationalFactor == 0.0) {
return actualGrade // Avoid division by zero
}
// 5. Calculate the difference in the aerodynamic drag force term between
// the current situation (with wind) and the hypothetical no-wind situation.
// Drag Force = aeroFactor * effectiveAirSpeed * abs(effectiveAirSpeed)
// We use speed * abs(speed) to ensure drag always opposes relative air motion.
val dragForceDifference = aeroFactor * ( (effectiveAirSpeed * abs(effectiveAirSpeed)) - (riderSpeed * abs(riderSpeed)) )
return actualGrade + (dragForceDifference / gravitationalFactor)
// 6. Calculate the relative grade.
// It's the actual grade plus the equivalent grade change caused by the wind.
// Equivalent Grade Change = Drag Force Difference / Gravitational Force Component
val relativeGrade = actualGrade + (dragForceDifference / gravitationalFactor)
return relativeGrade
}
suspend fun streamRelativeGrade(karooSystemService: KarooSystemService, context: Context): Flow<RelativeGradeResponse> {

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@ -1,185 +0,0 @@
package de.timklge.karooheadwind.datatypes
import android.content.Context
import android.util.Log
import androidx.compose.ui.unit.DpSize
import androidx.glance.ImageProvider
import androidx.glance.appwidget.ExperimentalGlanceRemoteViewsApi
import androidx.glance.appwidget.GlanceRemoteViews
import androidx.glance.layout.Box
import androidx.glance.layout.fillMaxSize
import androidx.glance.GlanceModifier
import androidx.glance.Image
import de.timklge.karooheadwind.HeadingResponse
import de.timklge.karooheadwind.KarooHeadwindExtension
import de.timklge.karooheadwind.datatypes.RelativeGradeDataType.Companion.DEFAULT_BIKE_WEIGHT
import de.timklge.karooheadwind.getRelativeHeadingFlow
import de.timklge.karooheadwind.screens.BarChartBuilder
import de.timklge.karooheadwind.streamCurrentWeatherData
import de.timklge.karooheadwind.streamDataFlow
import de.timklge.karooheadwind.streamUserProfile
import de.timklge.karooheadwind.throttle
import de.timklge.karooheadwind.weatherprovider.WeatherData
import io.hammerhead.karooext.KarooSystemService
import io.hammerhead.karooext.internal.ViewEmitter
import io.hammerhead.karooext.models.DataType
import io.hammerhead.karooext.models.ShowCustomStreamState
import io.hammerhead.karooext.models.StreamState
import io.hammerhead.karooext.models.UpdateGraphicConfig
import io.hammerhead.karooext.models.UserProfile
import io.hammerhead.karooext.models.ViewConfig
import kotlinx.coroutines.CoroutineScope
import kotlinx.coroutines.Dispatchers
import kotlinx.coroutines.awaitCancellation
import kotlinx.coroutines.delay
import kotlinx.coroutines.flow.Flow
import kotlinx.coroutines.flow.combine
import kotlinx.coroutines.flow.distinctUntilChanged
import kotlinx.coroutines.flow.filterIsInstance
import kotlinx.coroutines.flow.filterNotNull
import kotlinx.coroutines.flow.flow
import kotlinx.coroutines.flow.map
import kotlinx.coroutines.launch
class ResistanceForcesDataType(val karooSystem: KarooSystemService, context: Context) : BaseDataType(karooSystem, context, "forces"){
override fun getValue(data: WeatherData, userProfile: UserProfile): Double {
return data.windDirection
}
private fun previewFlow(): Flow<RelativeGradeDataType.ResistanceForces> {
return flow {
while (true) {
val withoutWind = (0..300).random().toDouble()
emit(RelativeGradeDataType.ResistanceForces(
withoutWind,
withoutWind + (0..200).random().toDouble(),
(0..50).random().toDouble(),
(-100..500).random().toDouble()
))
delay(1_000)
}
}
}
@OptIn(ExperimentalGlanceRemoteViewsApi::class)
override fun startView(context: Context, config: ViewConfig, emitter: ViewEmitter) {
val configJob = CoroutineScope(Dispatchers.IO).launch {
emitter.onNext(UpdateGraphicConfig(showHeader = false))
awaitCancellation()
}
val viewJob = CoroutineScope(Dispatchers.IO).launch {
emitter.onNext(ShowCustomStreamState("", null))
val flow = if (config.preview) {
previewFlow()
} else {
val relativeWindDirectionFlow = karooSystem.getRelativeHeadingFlow(context).filterIsInstance<HeadingResponse.Value>().map { it.diff + 180 }
val speedFlow = karooSystem.streamDataFlow(DataType.Type.SPEED).filterIsInstance<StreamState.Streaming>().map { it.dataPoint.singleValue ?: 0.0 }
val actualGradeFlow = karooSystem.streamDataFlow(DataType.Type.ELEVATION_GRADE).filterIsInstance<StreamState.Streaming>().map { it.dataPoint.singleValue }.filterNotNull().map { it / 100.0 } // Convert to decimal grade
val totalMassFlow = karooSystem.streamUserProfile().map {
if (it.weight in 30.0f..300.0f){
it.weight
} else {
Log.w(KarooHeadwindExtension.TAG, "Invalid rider weight ${it.weight} kg, defaulting to 70 kg")
70.0f // Default to 70 kg if weight is invalid
} + DEFAULT_BIKE_WEIGHT
}
val refreshRate = karooSystem.getRefreshRateInMilliseconds(context)
val windSpeedFlow = context.streamCurrentWeatherData(karooSystem).filterNotNull().map { weatherData ->
weatherData.windSpeed
}
data class StreamValues(
val relativeWindDirection: Double,
val speed: Double,
val windSpeed: Double,
val actualGrade: Double,
val totalMass: Double
)
combine(relativeWindDirectionFlow, speedFlow, windSpeedFlow, actualGradeFlow, totalMassFlow) { windDirection, speed, windSpeed, actualGrade, totalMass ->
StreamValues(windDirection, speed, windSpeed, actualGrade, totalMass)
}.distinctUntilChanged().throttle(refreshRate).map { (windDirection, speed, windSpeed, actualGrade, totalMass) ->
val resistanceForces = RelativeGradeDataType.estimateResistanceForces(
actualGrade = actualGrade,
riderSpeed = speed,
windSpeed = windSpeed,
windDirectionDegrees = windDirection,
totalMass = totalMass
)
Log.d(KarooHeadwindExtension.TAG, "Resistance Forces: $resistanceForces")
resistanceForces
}
}
val refreshRate = karooSystem.getRefreshRateInMilliseconds(context)
flow.throttle(refreshRate).collect { resistanceForces ->
if (resistanceForces != null) {
// Create bar chart data
val bars = listOf(
BarChartBuilder.BarData(
value = resistanceForces.airResistanceWithoutWind,
label = "Air",
smallLabel = "Air",
color = 0xFF4CAF50.toInt() // Green
),
BarChartBuilder.BarData(
value = resistanceForces.airResistanceWithWind - resistanceForces.airResistanceWithoutWind,
label = "Wind",
smallLabel = "Wind",
color = 0xFF2196F3.toInt() // Blue
),
BarChartBuilder.BarData(
value = resistanceForces.rollingResistance,
label = "Roll",
smallLabel = "R",
color = 0xFFFF9800.toInt() // Orange
),
BarChartBuilder.BarData(
value = resistanceForces.gravitationalForce,
label = "Gravity",
smallLabel = "G",
color = 0xFFF44336.toInt() // Red
)
)
// Draw bar chart
val bitmap = BarChartBuilder(context).drawBarChart(
width = config.viewSize.first,
height = config.viewSize.second,
bars = bars,
small = config.gridSize.first <= 30
)
// Use the correct ViewEmitter pattern with glance.compose
val glance = GlanceRemoteViews()
val result = glance.compose(context, DpSize.Unspecified) {
Box(modifier = GlanceModifier.fillMaxSize()) {
Image(
ImageProvider(bitmap),
"Resistance Forces Bar Chart",
modifier = GlanceModifier.fillMaxSize()
)
}
}
emitter.updateView(result.remoteViews)
} else {
// Display error message when no resistance forces data
emitter.onNext(ShowCustomStreamState("No resistance data", null))
}
}
}
emitter.setCancellable {
configJob.cancel()
viewJob.cancel()
}
}
}

View File

@ -3,15 +3,10 @@ package de.timklge.karooheadwind.datatypes
import android.content.Context
import de.timklge.karooheadwind.weatherprovider.WeatherData
import io.hammerhead.karooext.KarooSystemService
import io.hammerhead.karooext.models.DataType
import io.hammerhead.karooext.models.UserProfile
class WindGustsDataType(karooSystemService: KarooSystemService, context: Context) : BaseDataType(karooSystemService, context, "windGusts"){
override fun getValue(data: WeatherData, userProfile: UserProfile): Double {
return data.windGusts
}
override fun getFormatDataType(): String {
return DataType.Type.SPEED
}
}

View File

@ -3,15 +3,10 @@ package de.timklge.karooheadwind.datatypes
import android.content.Context
import de.timklge.karooheadwind.weatherprovider.WeatherData
import io.hammerhead.karooext.KarooSystemService
import io.hammerhead.karooext.models.DataType
import io.hammerhead.karooext.models.UserProfile
class WindSpeedDataType(karooSystemService: KarooSystemService, context: Context) : BaseDataType(karooSystemService, context, "windSpeed"){
override fun getValue(data: WeatherData, userProfile: UserProfile): Double {
return data.windSpeed
}
override fun getFormatDataType(): String {
return DataType.Type.SPEED
}
}

View File

@ -1,154 +0,0 @@
package de.timklge.karooheadwind.screens
import android.content.Context
import android.graphics.Bitmap
import android.graphics.Canvas
import android.graphics.Color
import android.graphics.Paint
import android.graphics.RectF
import androidx.annotation.ColorInt
import androidx.core.graphics.createBitmap
import kotlin.math.abs
class BarChartBuilder(val context: Context) {
data class BarData(
val value: Double,
val label: String,
val smallLabel: String,
@ColorInt val color: Int
)
fun drawBarChart(
width: Int,
height: Int,
small: Boolean,
bars: List<BarData>
): Bitmap {
val bitmap = createBitmap(width, height)
val canvas = Canvas(bitmap)
val isNightMode = isNightMode(context)
val backgroundColor = if (isNightMode) Color.BLACK else Color.WHITE
val primaryTextColor = if (isNightMode) Color.WHITE else Color.BLACK
canvas.drawColor(backgroundColor)
if (bars.isEmpty()) {
val emptyPaint = Paint().apply {
color = primaryTextColor
textSize = 30f
textAlign = Paint.Align.CENTER
isAntiAlias = true
}
canvas.drawText("No data to display", width / 2f, height / 2f, emptyPaint)
return bitmap
}
val marginTop = 45f
val marginBottom = 45f
val marginLeft = 5f
val marginRight = 5f
// Find the maximum absolute value to determine scale
val maxValue = bars.maxOfOrNull { abs(it.value) } ?: 1.0
val minValue = bars.minOfOrNull { it.value } ?: 0.0
// Determine if we need to show negative values
val hasNegativeValues = minValue < 0
val chartWidth = width - marginLeft - marginRight
val chartHeight = height - marginTop - marginBottom
val chartLeft = marginLeft
val chartTop = marginTop
val chartBottom = if (hasNegativeValues) height - marginBottom else height - 5.0f
val zeroY = if (hasNegativeValues) {
chartTop + chartHeight * (maxValue / (maxValue - minValue)).toFloat()
} else {
chartBottom
}
// Calculate bar dimensions
val barSpacing = 10f
val totalSpacing = (bars.size - 1) * barSpacing
val barWidth = (chartWidth - totalSpacing) / bars.size
// Draw bars
val barPaint = Paint().apply {
isAntiAlias = true
style = Paint.Style.FILL
}
bars.forEachIndexed { index, bar ->
val barLeft = chartLeft + index * (barWidth + barSpacing)
val barRight = barLeft + barWidth
val barHeight = if (hasNegativeValues) {
(abs(bar.value) / (maxValue - minValue) * chartHeight).toFloat()
} else {
(bar.value / maxValue * chartHeight).toFloat()
}
val barTop = if (bar.value >= 0) {
zeroY - barHeight
} else {
zeroY
}
val barBottom = if (bar.value >= 0) {
zeroY
} else {
zeroY + barHeight
}
// Draw bar
barPaint.color = bar.color
val rect = RectF(barLeft, barTop, barRight, barBottom)
canvas.drawRect(rect, barPaint)
// Draw label where value used to be with increased font size
val labelPaint = Paint().apply {
color = primaryTextColor
textSize = 32f // Increased from 24f and 28f
textAlign = Paint.Align.CENTER
isAntiAlias = true
}
// Use smallLabel if small is true, otherwise use regular label
val labelToUse = if (small) bar.smallLabel else bar.label
val labelY = if (bar.value >= 0) {
barTop - 10f // Position above positive bars
} else {
barBottom + labelPaint.textSize + 10f // Position below negative bars
}
// Create semi-transparent background box for label
val backgroundPaint = Paint().apply {
color = if (isNightMode) Color.argb(200, 0, 0, 0) else Color.argb(200, 255, 255, 255)
style = Paint.Style.FILL
isAntiAlias = true
}
// Calculate text bounds for background box
val textBounds = android.graphics.Rect()
labelPaint.getTextBounds(labelToUse, 0, labelToUse.length, textBounds)
val padding = 8f
val boxLeft = barLeft + barWidth / 2f - textBounds.width() / 2f - padding
val boxRight = barLeft + barWidth / 2f + textBounds.width() / 2f + padding
val boxTop = labelY - textBounds.height() - padding / 2f
val boxBottom = labelY + padding / 2f
// Draw rounded rectangle background
val backgroundRect = RectF(boxLeft, boxTop, boxRight, boxBottom)
val cornerRadius = 6f
canvas.drawRoundRect(backgroundRect, cornerRadius, cornerRadius, backgroundPaint)
canvas.drawText(labelToUse, barLeft + barWidth / 2f, labelY, labelPaint)
}
return bitmap
}
}

View File

@ -47,6 +47,4 @@
<string name="windDirectionAndSpeed_description">Current wind direction and wind speed</string>
<string name="windDirectionAndSpeedCircle">Wind direction, speed (Circle)</string>
<string name="windDirectionAndSpeedCircle_description">Current wind direction and wind speed (Circle graphics)</string>
<string name="forces">Resistance forces</string>
<string name="forces_description">Current resistance forces (air, rolling, gradient)</string>
</resources>

View File

@ -158,11 +158,4 @@
graphical="false"
icon="@drawable/wind"
typeId="relativeElevationGain" />
<DataType
description="@string/forces_description"
displayName="@string/forces"
graphical="true"
icon="@drawable/wind"
typeId="forces" />
</ExtensionInfo>