Started to remove PlotManager

This commit is contained in:
Alexander Nozik 2018-05-20 14:43:30 +03:00
parent 86f7af61d3
commit 6277b551c0
4 changed files with 18 additions and 28 deletions

View File

@ -200,7 +200,7 @@ class PKT8Display : DeviceDisplayFX<PKT8Device>(), PKT8ValueListener {
} }
private fun getPlot(channelName: String): Plot? { private fun getPlot(channelName: String): Plot? {
return plotFrame[channelName] ?: device.channels.values.find { it.name == channelName }?.let { return plotFrame[channelName] as? Plot ?: device.channels.values.find { it.name == channelName }?.let {
TimePlot(it.name).apply { TimePlot(it.name).apply {
configure(it.meta) configure(it.meta)
plotFrame.add(this) plotFrame.add(this)

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@ -22,9 +22,9 @@ import hep.dataforge.description.TypedActionDef;
import hep.dataforge.meta.Laminate; import hep.dataforge.meta.Laminate;
import hep.dataforge.meta.Meta; import hep.dataforge.meta.Meta;
import hep.dataforge.plots.PlotFrame; import hep.dataforge.plots.PlotFrame;
import hep.dataforge.plots.PlotUtils;
import hep.dataforge.plots.XYFunctionPlot; import hep.dataforge.plots.XYFunctionPlot;
import hep.dataforge.plots.data.DataPlot; import hep.dataforge.plots.data.DataPlot;
import hep.dataforge.plots.output.PlotOutputKt;
import hep.dataforge.stat.fit.FitResult; import hep.dataforge.stat.fit.FitResult;
import hep.dataforge.stat.fit.FitState; import hep.dataforge.stat.fit.FitState;
import hep.dataforge.stat.models.XYModel; import hep.dataforge.stat.models.XYModel;
@ -62,9 +62,7 @@ public class PlotFitResultAction extends OneToOneAction<FitResult, FitResult> {
throw new RuntimeException("No adapter defined for data interpretation"); throw new RuntimeException("No adapter defined for data interpretation");
} }
PlotFrame frame = PlotOutputKt.getPlotFrame(context, getName(), name, metaData.getMeta("frame", Meta.empty()));
PlotFrame frame = PlotUtils.INSTANCE.getPlotManager(context)
.getPlotFrame(getName(), name, metaData.getMeta("frame", Meta.empty()));
XYFunctionPlot fit = new XYFunctionPlot("fit", Meta.empty(), (Double x) -> model.getSpectrum().value(x, input.getParameters())); XYFunctionPlot fit = new XYFunctionPlot("fit", Meta.empty(), (Double x) -> model.getSpectrum().value(x, input.getParameters()));
fit.setDensity(100); fit.setDensity(100);

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@ -6,9 +6,9 @@ import hep.dataforge.description.*
import hep.dataforge.kodex.configure import hep.dataforge.kodex.configure
import hep.dataforge.maths.histogram.UnivariateHistogram import hep.dataforge.maths.histogram.UnivariateHistogram
import hep.dataforge.meta.Laminate import hep.dataforge.meta.Laminate
import hep.dataforge.plots.PlotPlugin
import hep.dataforge.plots.XYFunctionPlot import hep.dataforge.plots.XYFunctionPlot
import hep.dataforge.plots.data.DataPlot import hep.dataforge.plots.data.DataPlot
import hep.dataforge.plots.output.getPlotFrame
import hep.dataforge.tables.Adapters import hep.dataforge.tables.Adapters
import hep.dataforge.tables.Table import hep.dataforge.tables.Table
import hep.dataforge.values.ValueType import hep.dataforge.values.ValueType
@ -40,8 +40,6 @@ class TimeAnalyzerAction : OneToOneAction<NumassPoint, Table>() {
override fun execute(context: Context, name: String, input: NumassPoint, inputMeta: Laminate): Table { override fun execute(context: Context, name: String, input: NumassPoint, inputMeta: Laminate): Table {
val log = getLog(context, name); val log = getLog(context, name);
val pm = context[PlotPlugin::class.java];
val initialEstimate = analyzer.analyze(input, inputMeta) val initialEstimate = analyzer.analyze(input, inputMeta)
val trueCR = initialEstimate.getDouble("cr") val trueCR = initialEstimate.getDouble("cr")
@ -62,9 +60,7 @@ class TimeAnalyzerAction : OneToOneAction<NumassPoint, Table>() {
if (inputMeta.getBoolean("plotHist", true)) { if (inputMeta.getBoolean("plotHist", true)) {
val histPlot = pm.getPlotFrame(name, "histogram"); val histPlot = context.getPlotFrame(name, "histogram") {
histPlot.configure {
node("xAxis") { node("xAxis") {
"title" to "delay" "title" to "delay"
"units" to "us" "units" to "us"
@ -103,8 +99,7 @@ class TimeAnalyzerAction : OneToOneAction<NumassPoint, Table>() {
configure(inputMeta.getMetaOrEmpty("plot")) configure(inputMeta.getMetaOrEmpty("plot"))
} }
pm.getPlotFrame(name, "stat-method") context.getPlotFrame(name, "stat-method") {
.configure {
"xAxis" to { "xAxis" to {
"title" to "delay" "title" to "delay"
"units" to "us" "units" to "us"

View File

@ -7,8 +7,8 @@ import hep.dataforge.kodex.buildMeta
import hep.dataforge.kodex.configure import hep.dataforge.kodex.configure
import hep.dataforge.maths.histogram.UnivariateHistogram import hep.dataforge.maths.histogram.UnivariateHistogram
import hep.dataforge.meta.Laminate import hep.dataforge.meta.Laminate
import hep.dataforge.plots.PlotPlugin
import hep.dataforge.plots.data.DataPlot import hep.dataforge.plots.data.DataPlot
import hep.dataforge.plots.output.getPlotFrame
import hep.dataforge.tables.Adapters import hep.dataforge.tables.Adapters
import hep.dataforge.tables.Table import hep.dataforge.tables.Table
import hep.dataforge.values.ValueType import hep.dataforge.values.ValueType
@ -43,7 +43,6 @@ class TimeSpectrumAction : OneToOneAction<NumassPoint, Table>() {
val t0 = inputMeta.getDouble("t0", 30e3); val t0 = inputMeta.getDouble("t0", 30e3);
val loChannel = inputMeta.getInt("window.lo", 500); val loChannel = inputMeta.getInt("window.lo", 500);
val upChannel = inputMeta.getInt("window.up", 10000); val upChannel = inputMeta.getInt("window.up", 10000);
val pm = context.get(PlotPlugin::class.java);
val trueCR = analyzer.analyze(input, buildMeta { val trueCR = analyzer.analyze(input, buildMeta {
@ -70,9 +69,7 @@ class TimeSpectrumAction : OneToOneAction<NumassPoint, Table>() {
if (inputMeta.getBoolean("plotHist", true)) { if (inputMeta.getBoolean("plotHist", true)) {
val histPlot = pm.getPlotFrame(name, "histogram"); val histPlot = context.getPlotFrame(name, "histogram"){
histPlot.configure {
node("xAxis") { node("xAxis") {
"axisTitle" to "delay" "axisTitle" to "delay"
"axisUnits" to "us" "axisUnits" to "us"
@ -107,7 +104,7 @@ class TimeSpectrumAction : OneToOneAction<NumassPoint, Table>() {
configure(inputMeta.getMetaOrEmpty("plot")) configure(inputMeta.getMetaOrEmpty("plot"))
} }
pm.getPlotFrame(name, "stat-method").add(statPlot) context.getPlotFrame(name, "stat-method").add(statPlot)
(1..100).map { 1000 * it }.map { t -> (1..100).map { 1000 * it }.map { t ->
val result = analyzer.analyze(input, buildMeta { val result = analyzer.analyze(input, buildMeta {