Update to PiPlugin logic
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@ -13,7 +13,7 @@ val xodusVersion by extra("2.0.1")
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allprojects {
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group = "space.kscience"
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version = "0.2.1"
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version = "0.2.2-dev-1"
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repositories{
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maven("https://maven.pkg.jetbrains.space/spc/p/sci/dev")
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}
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@ -1,22 +1,46 @@
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package space.kscience.controls.pi
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import com.pi4j.Pi4J
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import space.kscience.controls.manager.DeviceManager
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import space.kscience.controls.ports.PortFactory
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import space.kscience.controls.ports.Ports
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import space.kscience.dataforge.context.AbstractPlugin
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import space.kscience.dataforge.context.Context
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import space.kscience.dataforge.context.PluginFactory
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import space.kscience.dataforge.context.PluginTag
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import space.kscience.dataforge.meta.Meta
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import space.kscience.dataforge.names.Name
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import space.kscience.dataforge.names.parseAsName
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import com.pi4j.context.Context as PiContext
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public class PiPlugin : AbstractPlugin() {
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public val ports: Ports by require(Ports)
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public val devices: DeviceManager by require(DeviceManager)
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override val tag: PluginTag get() = Companion.tag
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public val piContext: PiContext by lazy { createPiContext(context, meta) }
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override fun content(target: String): Map<Name, Any> = when (target) {
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PortFactory.TYPE -> mapOf(
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PiSerialPort.type.parseAsName() to PiSerialPort,
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)
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else -> super.content(target)
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}
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override fun detach() {
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piContext.shutdown()
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super.detach()
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}
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public companion object : PluginFactory<PiPlugin> {
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override val tag: PluginTag = PluginTag("controls.ports.pi", group = PluginTag.DATAFORGE_GROUP)
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override fun build(context: Context, meta: Meta): PiPlugin = PiPlugin()
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public fun createPiContext(context: Context, meta: Meta): PiContext = Pi4J.newAutoContext()
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}
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}
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@ -1,6 +1,5 @@
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package space.kscience.controls.pi
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import com.pi4j.Pi4J
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import com.pi4j.io.serial.Baud
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import com.pi4j.io.serial.Serial
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import com.pi4j.io.serial.SerialConfigBuilder
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@ -13,20 +12,25 @@ import space.kscience.controls.ports.toArray
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import space.kscience.dataforge.context.Context
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import space.kscience.dataforge.context.error
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import space.kscience.dataforge.context.logger
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import space.kscience.dataforge.context.request
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import space.kscience.dataforge.meta.Meta
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import space.kscience.dataforge.meta.enum
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import space.kscience.dataforge.meta.get
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import space.kscience.dataforge.meta.string
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import java.nio.ByteBuffer
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import kotlin.coroutines.CoroutineContext
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import com.pi4j.context.Context as PiContext
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public class PiSerialPort(
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context: Context,
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coroutineContext: CoroutineContext = context.coroutineContext,
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public val serialBuilder: () -> Serial,
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public val serialBuilder: PiContext.() -> Serial,
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) : AbstractPort(context, coroutineContext) {
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private val serial: Serial by lazy { serialBuilder() }
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private val serial: Serial by lazy {
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val pi = context.request(PiPlugin)
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pi.piContext.serialBuilder()
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}
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private val listenerJob = this.scope.launch(Dispatchers.IO) {
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@ -57,15 +61,18 @@ public class PiSerialPort(
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public companion object : PortFactory {
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override val type: String get() = "pi"
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public fun open(context: Context, device: String, block: SerialConfigBuilder.() -> Unit): PiSerialPort =
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PiSerialPort(context) {
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Pi4J.newAutoContext().serial(device, block)
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}
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public fun open(
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context: Context,
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device: String,
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block: SerialConfigBuilder.() -> Unit,
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): PiSerialPort = PiSerialPort(context) {
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serial(device, block)
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}
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override fun build(context: Context, meta: Meta): Port = PiSerialPort(context) {
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val device: String = meta["device"].string ?: error("Device name not defined")
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val baudRate: Baud = meta["baudRate"].enum<Baud>() ?: Baud._9600
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Pi4J.newAutoContext().serial(device) {
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serial(device) {
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baud8N1(baudRate)
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}
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}
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2
docs/templates/README-TEMPLATE.md
vendored
2
docs/templates/README-TEMPLATE.md
vendored
@ -1,5 +1,7 @@
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[![JetBrains Research](https://jb.gg/badges/research.svg)](https://confluence.jetbrains.com/display/ALL/JetBrains+on+GitHub)
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[![](https://maven.sciprog.center/api/badge/latest/kscience/space/kscience/controls-core-jvm?color=40c14a&name=repo.kotlin.link&prefix=v)](https://maven.sciprog.center/)
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# Controls.kt
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Controls.kt (former DataForge-control) is a data acquisition framework (work in progress). It is based on DataForge, a software framework for automated data processing.
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