Fix to task generics.

numass-control/dante/src/main/kotlin/inr/numass/control/dante/DanteTest.kt

@@ -18,7 +18,7 @@ package inr.numass.control.dante
 
 import hep.dataforge.context.Context
 import hep.dataforge.context.Global
-import hep.dataforge.fx.plots.display
+import hep.dataforge.fx.plots.displayPlot
 import hep.dataforge.kodex.configure
 import hep.dataforge.kodex.nullable
 import hep.dataforge.meta.KMetaBuilder
@@ -79,7 +79,7 @@ fun NumassBlock.plotAmplitudeSpectrum(plotName: String = "spectrum", frameName:
     val lo = meta.optNumber("window.lo").nullable?.toInt()
     val up = meta.optNumber("window.up").nullable?.toInt()
     val data = SimpleAnalyzer().getAmplitudeSpectrum(this, meta.getMetaOrEmpty("spectrum")).withBinning(binning, lo, up)
-    context.display(
+    context.displayPlot {
         chart {
             val valueAxis = if (meta.getBoolean("normalize", false)) {
                 NumassAnalyzer.COUNT_RATE_KEY
@@ -92,16 +92,17 @@ fun NumassBlock.plotAmplitudeSpectrum(plotName: String = "spectrum", frameName:
                 "showLine" to true
                 "showSymbol" to false
                 "showErrors" to false
-                }.setType(DataPlot::class)
+            }.setType<DataPlot>()
 
             val plot = DataPlot.plot(
                     plotName,
-                        Adapters.buildXYAdapter(NumassAnalyzer.CHANNEL_KEY, valueAxis),
+                    data,
-                        data
+                    Adapters.buildXYAdapter(NumassAnalyzer.CHANNEL_KEY, valueAxis)
             )
             plot.configure(meta)
             add(plot)
         }
-    )
+    }
+
 
 }

numass-main/src/main/kotlin/inr/numass/NumassPlugin.kt

@@ -70,7 +70,8 @@ class NumassPlugin : BasicPlugin() {
             transformTask,
             filterTask,
             fitTask,
-            plotFitTask
+            plotFitTask,
+            histogramTask
     )
 
     @Provides(Task.TASK_TARGET)

numass-main/src/main/kotlin/inr/numass/actions/PlotFitResultAction.kt

@@ -68,7 +68,7 @@ object PlotFitResultAction : OneToOneAction<FitResult, FitResult>() {
         StreamSupport.stream(data.spliterator(), false)
                 .map { dp -> Adapters.getXValue(adapter, dp).double }.sorted().forEach{ fit.calculateIn(it) }
 
-        context.plot(listOf(fit,DataPlot.plot("data", adapter, data)), this.name, name)
+        context.plot(listOf(fit,DataPlot.plot("data", data, adapter)), this.name, name)
 
         return input
     }

numass-main/src/main/kotlin/inr/numass/data/Visualization.kt

@@ -18,13 +18,13 @@ package inr.numass.data
 
 import hep.dataforge.context.Context
 import hep.dataforge.context.Global
-import hep.dataforge.fx.plots.display
+import hep.dataforge.fx.plots.displayPlot
 import hep.dataforge.kodex.configure
 import hep.dataforge.kodex.nullable
 import hep.dataforge.meta.KMetaBuilder
 import hep.dataforge.meta.buildMeta
 import hep.dataforge.plots.data.DataPlot
-import hep.dataforge.plots.jfreechart.JFreeChartFrame
+import hep.dataforge.plots.jfreechart.chart
 import hep.dataforge.tables.Adapters
 import inr.numass.data.analyzers.NumassAnalyzer
 import inr.numass.data.analyzers.SmartAnalyzer
@@ -38,8 +38,8 @@ fun NumassBlock.plotAmplitudeSpectrum(plotName: String = "spectrum", frameName:
     val lo = meta.optNumber("window.lo").nullable?.toInt()
     val up = meta.optNumber("window.up").nullable?.toInt()
     val data = SmartAnalyzer().getAmplitudeSpectrum(this, meta.getMetaOrEmpty("spectrum")).withBinning(binning, lo, up)
-    context.display {
+    context.displayPlot {
-        JFreeChartFrame().apply {
+        chart {
             val valueAxis = if (meta.getBoolean("normalize", false)) {
                 NumassAnalyzer.COUNT_RATE_KEY
             } else {
@@ -55,8 +55,8 @@ fun NumassBlock.plotAmplitudeSpectrum(plotName: String = "spectrum", frameName:
 
             val plot = DataPlot.plot(
                     plotName,
-                    Adapters.buildXYAdapter(NumassAnalyzer.CHANNEL_KEY, valueAxis),
+                    data,
-                    data
+                    Adapters.buildXYAdapter(NumassAnalyzer.CHANNEL_KEY, valueAxis)
             )
             plot.configure(meta)
             add(plot)

numass-main/src/main/kotlin/inr/numass/models/mc/BetaSampler.kt

@@ -1,7 +1,7 @@
 package inr.numass.models.mc
 
 import hep.dataforge.context.Global
-import hep.dataforge.fx.plots.display
+import hep.dataforge.fx.plots.displayPlot
 import hep.dataforge.maths.chain.Chain
 import hep.dataforge.meta.buildMeta
 import hep.dataforge.plots.XYFunctionPlot
@@ -47,7 +47,7 @@ fun main(args: Array<String>) {
         50 * distribution.density(18600.0 - it)
     }
 
-    Global.display {
+    Global.displayPlot {
         chart {
             add(spectrumPlot)
             add(distributionPlot)

numass-main/src/main/kotlin/inr/numass/scripts/InversedChain.kt

@@ -72,8 +72,8 @@ fun main(args: Array<String>) {
 
         val point = set.optPoint(hv).get()
 
-        frame.add(DataPlot.plot("raw", AMPLITUDE_ADAPTER, analyzer.getAmplitudeSpectrum(point, meta).withBinning(20)))
+        frame.add(DataPlot.plot("raw", analyzer.getAmplitudeSpectrum(point, meta).withBinning(20), AMPLITUDE_ADAPTER))
-        frame.add(DataPlot.plot("filtered", AMPLITUDE_ADAPTER, analyzer.getAmplitudeSpectrum(point, metaForChain).withBinning(20)))
+        frame.add(DataPlot.plot("filtered", analyzer.getAmplitudeSpectrum(point, metaForChain).withBinning(20), AMPLITUDE_ADAPTER))
-        frame.add(DataPlot.plot("invertedFilter", AMPLITUDE_ADAPTER, analyzer.getAmplitudeSpectrum(point, metaForChainInverted).withBinning(20)))
+        frame.add(DataPlot.plot("invertedFilter", analyzer.getAmplitudeSpectrum(point, metaForChainInverted).withBinning(20), AMPLITUDE_ADAPTER))
     }
 }

numass-main/src/main/kotlin/inr/numass/scripts/InversedChainProto.kt

@@ -51,8 +51,8 @@ fun main(args: Array<String>) {
         this.plots.configureValue("showLine", true)
     }
 
-    frame.add(DataPlot.plot("raw", AMPLITUDE_ADAPTER, analyzer.getAmplitudeSpectrum(point, meta).withBinning(80)))
+    frame.add(DataPlot.plot("raw", analyzer.getAmplitudeSpectrum(point, meta).withBinning(80), AMPLITUDE_ADAPTER))
-    frame.add(DataPlot.plot("filtered", AMPLITUDE_ADAPTER, analyzer.getAmplitudeSpectrum(point, metaForChain).withBinning(80)))
+    frame.add(DataPlot.plot("filtered", analyzer.getAmplitudeSpectrum(point, metaForChain).withBinning(80), AMPLITUDE_ADAPTER))
-    frame.add(DataPlot.plot("invertedFilter", AMPLITUDE_ADAPTER, analyzer.getAmplitudeSpectrum(point, metaForChainInverted).withBinning(80)))
+    frame.add(DataPlot.plot("invertedFilter", analyzer.getAmplitudeSpectrum(point, metaForChainInverted).withBinning(80), AMPLITUDE_ADAPTER))
 
 }

numass-main/src/main/kotlin/inr/numass/scripts/models/DifferentialSpectrum.kt

@@ -81,9 +81,9 @@ fun main(args: Array<String>) {
 
             val norm = res.getColumn(COUNT_RATE_KEY).stream().mapToDouble { it.double }.sum()
 
-            integralFrame.add(DataPlot.plot("point_$hv", AMPLITUDE_ADAPTER, spectrum0))
+            integralFrame.add(DataPlot.plot("point_$hv", spectrum0, AMPLITUDE_ADAPTER))
 
-            frame.add(DataPlot.plot("point_$hv", AMPLITUDE_ADAPTER, res.replaceColumn(COUNT_RATE_KEY) { getDouble(COUNT_RATE_KEY) / norm }))
+            frame.add(DataPlot.plot("point_$hv", res.replaceColumn(COUNT_RATE_KEY) { getDouble(COUNT_RATE_KEY) / norm }, AMPLITUDE_ADAPTER))
         }
     }
 }

numass-main/src/main/kotlin/inr/numass/tasks/NumassFitScanSummaryTask.kt

@@ -25,7 +25,7 @@ import inr.numass.NumassUtils
  * @author Alexander Nozik
  */
 object NumassFitScanSummaryTask : AbstractTask<Table>(Table::class.java) {
-    override fun run(model: TaskModel, data: DataNode<*>): DataNode<Table> {
+    override fun run(model: TaskModel, data: DataNode<Any>): DataNode<Table> {
         val builder = DataSet.edit(Table::class)
         val action = FitSummaryAction()
         val input = data.checked(FitResult::class.java)

numass-main/src/main/kotlin/inr/numass/tasks/NumassFitScanTask.kt

@@ -24,7 +24,7 @@ import hep.dataforge.workspace.tasks.TaskModel
  */
 object NumassFitScanTask : AbstractTask<FitResult>(FitResult::class.java) {
 
-    override fun run(model: TaskModel, data: DataNode<*>): DataNode<FitResult> {
+    override fun run(model: TaskModel, data: DataNode<Any>): DataNode<FitResult> {
         val config = model.meta
         val scanParameter = config.getString("parameter", "msterile2")
 

numass-main/src/main/kotlin/inr/numass/tasks/NumassFitSummaryTask.kt

@@ -30,7 +30,7 @@ import inr.numass.actions.SummaryAction
 object NumassFitSummaryTask : AbstractTask<Table>(Table::class.java) {
     override val name: String = "summary"
 
-    override fun run(model: TaskModel, data: DataNode<*>): DataNode<out Table> {
+    override fun run(model: TaskModel, data: DataNode<Any>): DataNode<Table> {
         val actionMeta = model.meta.getMeta("summary")
         val checkedData = data.getCheckedNode("fit", FitState::class.java)
         return SummaryAction.run(model.context, checkedData, actionMeta)

numass-main/src/main/kotlin/inr/numass/tasks/NumassTasks.kt

@@ -4,9 +4,6 @@ import hep.dataforge.data.CustomDataFilter
 import hep.dataforge.data.DataSet
 import hep.dataforge.data.DataTree
 import hep.dataforge.data.DataUtils
-import hep.dataforge.description.Description
-import hep.dataforge.description.ValueDef
-import hep.dataforge.description.ValueDefs
 import hep.dataforge.io.output.stream
 import hep.dataforge.io.render
 import hep.dataforge.kodex.nullable
@@ -44,9 +41,13 @@ import java.io.PrintWriter
 import java.util.*
 import java.util.concurrent.atomic.AtomicLong
 import java.util.stream.StreamSupport
+import kotlin.collections.set
+
 
-@Description("Select data from initial data pool")
 val selectTask = task("select") {
+    descriptor {
+        info = "Select data from initial data pool"
+    }
     model { meta ->
         data("*")
         configure(meta.getMetaOrEmpty("data"))
@@ -59,8 +60,10 @@ val selectTask = task("select") {
     }
 }
 
-@Description("Count the number of events for each voltage and produce a table with the results")
 val analyzeTask = task("analyze") {
+    descriptor {
+        info = "Count the number of events for each voltage and produce a table with the results"
+    }
     model { meta ->
         dependsOn(selectTask, meta);
         configure(MetaUtils.optEither(meta, "analyzer", "prepare").orElse(Meta.empty()))
@@ -73,11 +76,11 @@ val analyzeTask = task("analyze") {
     }
 }
 
-@ValueDefs(
-        ValueDef(key = "showPlot", type = [ValueType.BOOLEAN], info = "Show plot after complete"),
-        ValueDef(key = "monitorVoltage", type = [ValueType.NUMBER], info = "The voltage for monitor point")
-)
 val monitorTableTask = task("monitor") {
+    descriptor {
+        value("showPlot", types = listOf(ValueType.BOOLEAN), info = "Show plot after complete")
+        value("monitorVoltage", types = listOf(ValueType.NUMBER), info = "The voltage for monitor point")
+    }
     model { meta ->
         dependsOn(selectTask, meta)
         configure(meta.getMetaOrEmpty("monitor"))
@@ -99,7 +102,7 @@ val monitorTableTask = task("monitor") {
                 ).build()
 
         if (meta.getBoolean("showPlot", true)) {
-            val plot = DataPlot.plot(name, Adapters.buildXYAdapter("timestamp", "cr", "crErr"), res)
+            val plot = DataPlot.plot(name, res, Adapters.buildXYAdapter("timestamp", "cr", "crErr"))
             context.plot(plot, "numass.monitor", name) {
                 "xAxis.title" to "time"
                 "xAxis.type" to "time"
@@ -259,7 +262,7 @@ val plotFitTask = task("plotFit") {
         StreamSupport.stream<Values>(data.spliterator(), false)
                 .map { dp -> Adapters.getXValue(adapter, dp).double }.sorted().forEach { fit.calculateIn(it) }
 
-        val dataPlot = DataPlot.plot("data", adapter, data)
+        val dataPlot = DataPlot.plot("data", data, adapter)
 
         context.plot(listOf(fit, dataPlot), "numass.plotFit", name)
 
@@ -267,10 +270,11 @@ val plotFitTask = task("plotFit") {
     }
 }
 
-@Description("""
-    Combine amplitude spectra from multiple sets, but with the same U.
-""")
 val histogramTask = task("histogram") {
+    descriptor {
+        value("plot",types = listOf(ValueType.BOOLEAN), defaultValue = false, info = "Show plot of the spectra")
+        info = "Combine amplitude spectra from multiple sets, but with the same U"
+    }
     model { meta ->
         dependsOn(selectTask, meta)
         configure(meta.getMetaOrEmpty("histogram"))
@@ -314,10 +318,19 @@ val histogramTask = task("histogram") {
                 row(values)
             }
         }
+        //TODO increase binning
 
         context.output.render(table, stage = "numass.histogram", name = name, meta = meta)
 
-        //TODO add plot
+        if (meta.getBoolean("plot", false)) {
+            context.plot("$name.plot", stage = "numass.histogram") {
+                plots.setType<DataPlot>()
+                table.format.names.filter { it != "channel" }.forEach {
+                    +DataPlot.plot(it, table, adapter = Adapters.buildXYAdapter("channel", it))
+                }
+            }
+        }
+
 
         return@join table
     }

numass-main/src/test/java/inr/numass/models/PlotScatter.java

@@ -17,6 +17,7 @@ package inr.numass.models;
 
 import hep.dataforge.stat.fit.ParamSet;
 import inr.numass.NumassPluginKt;
+import inr.numass.models.misc.LossCalculator;
 
 /**
  *
@@ -36,6 +37,6 @@ public class PlotScatter {
                 + "'ionW'	= 11.33 ± 0.43\n"
                 + "'exIonRatio'	= 4.83 ± 0.36"
         );
-        LossCalculator.plotScatter(NumassPluginKt.displayChart("Loss function"), pars);
+        LossCalculator.INSTANCE.plotScatter(NumassPluginKt.displayChart("Loss function"), pars);
     }
 }

numass-main/src/test/java/inr/numass/models/TestNeLossParametrisation.java

@@ -19,6 +19,7 @@ import hep.dataforge.maths.integration.GaussRuleIntegrator;
 import hep.dataforge.plots.PlotFrame;
 import hep.dataforge.plots.XYFunctionPlot;
 import inr.numass.NumassPluginKt;
+import inr.numass.models.misc.LossCalculator;
 import org.apache.commons.math3.analysis.UnivariateFunction;
 
 /**
@@ -34,7 +35,7 @@ public class TestNeLossParametrisation {
     public static void main(String[] args) {
         PlotFrame frame = NumassPluginKt.displayChart("Loss parametrisation test");
     //JFreeChartFrame.drawFrame("Loss parametrisation test", null);
-        UnivariateFunction oldFunction = LossCalculator.getSingleScatterFunction();
+        UnivariateFunction oldFunction = LossCalculator.INSTANCE.getSingleScatterFunction();
         UnivariateFunction newFunction = getSingleScatterFunction(12.86, 16.78, 1.65, 12.38, 4.79);
 
         Double norm = new GaussRuleIntegrator(200).integrate(0d, 100d, newFunction);

numass-viewer/src/main/kotlin/inr/numass/viewer/AmplitudeView.kt

@@ -138,16 +138,16 @@ class AmplitudeView : View(title = "Numass amplitude spectrum plot", icon = Imag
                     return@runGoal if (channels.size == 1) {
                         DataPlot.plot(
                                 key,
-                                adapter,
+                                channels.values.first().withBinning(binning),
-                                channels.values.first().withBinning(binning)
+                                adapter
                         )
                     } else {
                         val group = PlotGroup.typed<DataPlot>(key)
                         channels.forEach { key, spectrum ->
                             val plot = DataPlot.plot(
                                     key.toString(),
-                                    adapter,
+                                    spectrum.withBinning(binning),
-                                    spectrum.withBinning(binning)
+                                    adapter
                             )
                             group.add(plot)
                         }

numass-viewer/src/main/kotlin/inr/numass/viewer/SlowControlView.kt

@@ -54,7 +54,7 @@ class SlowControlView : View(title = "Numass slow control view", icon = ImageVie
 
                     names.forEach {
                         val adapter = Adapters.buildXYAdapter("timestamp", it);
-                        val plot = DataPlot.plot(it, adapter, plotData).configure {
+                        val plot = DataPlot.plot(it, plotData, adapter).configure {
                             "showLine" to true
                             "showSymbol" to false
                             "showErrors" to false