Removed [PlotManager]

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

@@ -18,12 +18,13 @@ package inr.numass.control.dante
 
 import hep.dataforge.context.Context
 import hep.dataforge.context.Global
-import hep.dataforge.fx.plots.FXPlotManager
+import hep.dataforge.fx.plots.display
 import hep.dataforge.kodex.KMetaBuilder
 import hep.dataforge.kodex.buildMeta
 import hep.dataforge.kodex.configure
 import hep.dataforge.kodex.nullable
 import hep.dataforge.plots.data.DataPlot
+import hep.dataforge.plots.jfreechart.chart
 import hep.dataforge.tables.Adapters
 import inr.numass.data.analyzers.NumassAnalyzer
 import inr.numass.data.analyzers.SimpleAnalyzer
@@ -74,12 +75,12 @@ fun main(args: Array<String>) {
 
 fun NumassBlock.plotAmplitudeSpectrum(plotName: String = "spectrum", frameName: String = "", context: Context = Global, metaAction: KMetaBuilder.() -> Unit = {}) {
     val meta = buildMeta("meta", metaAction)
-    val plotManager = context.load(FXPlotManager::class)
     val binning = meta.getInt("binning", 20)
     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)
-    plotManager.display(name = frameName) {
+    context.display(
+            chart {
                 val valueAxis = if (meta.getBoolean("normalize", false)) {
                     NumassAnalyzer.COUNT_RATE_KEY
                 } else {
@@ -101,4 +102,6 @@ fun NumassBlock.plotAmplitudeSpectrum(plotName: String = "spectrum", frameName:
                 plot.configure(meta)
                 add(plot)
             }
+    )
+
 }

numass-control/src/main/kotlin/inr/numass/control/NumassControlUtils.kt

@@ -57,7 +57,7 @@ fun connectStorage(device: Device, config: Meta) {
 }
 
 fun readResourceMeta(path: String): Meta {
-    val resource = Global.output.optResource(path).nullable
+    val resource = Global.optResource(path).nullable
     if (resource != null) {
         return XMLMetaReader().read(resource.stream)
     } else {

numass-main/src/main/groovy/inr/numass/scripts/models/TristanModel.groovy

@@ -2,7 +2,6 @@ package inr.numass.scripts.models
 
 import hep.dataforge.context.Context
 import hep.dataforge.context.Global
-import hep.dataforge.fx.plots.FXPlotManager
 import hep.dataforge.grind.GrindShell
 import hep.dataforge.grind.helpers.PlotHelper
 import hep.dataforge.meta.Meta
@@ -24,7 +23,6 @@ import inr.numass.utils.DataModelUtils
 
 
 Context ctx = Global.instance()
-ctx.getPluginManager().load(FXPlotManager)
 ctx.getPluginManager().load(NumassPlugin)
 
 new GrindShell(ctx).eval {

numass-main/src/main/groovy/inr/numass/scripts/temp/JoinSpectra.groovy

@@ -3,7 +3,6 @@ package inr.numass.scripts.temp
 import hep.dataforge.context.Context
 import hep.dataforge.context.Global
 import hep.dataforge.description.Descriptors
-import hep.dataforge.fx.plots.FXPlotManager
 import hep.dataforge.grind.Grind
 import hep.dataforge.grind.GrindShell
 import hep.dataforge.grind.helpers.PlotHelper
@@ -21,7 +20,6 @@ import inr.numass.data.storage.NumassStorage
 import inr.numass.data.storage.NumassStorageFactory
 
 Context ctx = Global.instance()
-ctx.getPluginManager().load(FXPlotManager)
 ctx.getPluginManager().load(NumassPlugin.class)
 
 

numass-main/src/main/groovy/inr/numass/scripts/temp/TestFXExit.groovy

@@ -18,12 +18,10 @@ package inr.numass.scripts.temp
 
 import hep.dataforge.context.Context
 import hep.dataforge.context.Global
-import hep.dataforge.fx.plots.FXPlotManager
 import hep.dataforge.grind.GrindShell
 import hep.dataforge.grind.helpers.PlotHelper
 
 Context ctx = Global.instance()
-ctx.getPluginManager().load(FXPlotManager)
 
 new GrindShell(ctx).eval {
     (plots as PlotHelper).plotFunction(0,1){Math.sin it}

numass-main/src/main/groovy/inr/numass/scripts/underflow/Underflow.groovy

@@ -10,7 +10,6 @@ import hep.dataforge.cache.CachePlugin
 import hep.dataforge.context.Context
 import hep.dataforge.context.Global
 import hep.dataforge.data.DataNode
-import hep.dataforge.fx.plots.FXPlotManager
 import hep.dataforge.grind.GrindShell
 import hep.dataforge.grind.helpers.PlotHelper
 import hep.dataforge.io.ColumnedDataWriter
@@ -30,7 +29,6 @@ import static inr.numass.data.analyzers.NumassAnalyzer.CHANNEL_KEY
 import static inr.numass.data.analyzers.NumassAnalyzer.COUNT_RATE_KEY
 
 Context ctx = Global.instance()
-ctx.getPluginManager().load(FXPlotManager)
 ctx.getPluginManager().load(NumassPlugin)
 ctx.getPluginManager().load(CachePlugin)
 

numass-main/src/main/java/hep/dataforge/plotfit/PlotFitResultAction.java

@@ -1,81 +0,0 @@
-/*
- * Copyright 2015 Alexander Nozik.
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package hep.dataforge.plotfit;
-
-import hep.dataforge.actions.OneToOneAction;
-import hep.dataforge.context.Context;
-import hep.dataforge.description.NodeDef;
-import hep.dataforge.description.TypedActionDef;
-import hep.dataforge.meta.Laminate;
-import hep.dataforge.meta.Meta;
-import hep.dataforge.plots.PlotFrame;
-import hep.dataforge.plots.XYFunctionPlot;
-import hep.dataforge.plots.data.DataPlot;
-import hep.dataforge.plots.output.PlotOutputKt;
-import hep.dataforge.stat.fit.FitResult;
-import hep.dataforge.stat.fit.FitState;
-import hep.dataforge.stat.models.XYModel;
-import hep.dataforge.tables.Adapters;
-import hep.dataforge.tables.NavigableValuesSource;
-import hep.dataforge.tables.ValuesAdapter;
-
-import java.util.stream.StreamSupport;
-
-/**
- * @author darksnake
- */
-@TypedActionDef(name = "plotFit", info = "Plot fit result", inputType = FitState.class, outputType = FitState.class)
-@NodeDef(key = "adapter", info = "adapter for DataSet being fitted. By default is taken from model.")
-public class PlotFitResultAction extends OneToOneAction<FitResult, FitResult> {
-
-    @Override
-    protected FitResult execute(Context context, String name, FitResult input, Laminate metaData) {
-
-        FitState state = input.optState().orElseThrow(() -> new UnsupportedOperationException("Can't work with fit result not containing state, sorry! Will fix it later"));
-
-        NavigableValuesSource data = input.getData();
-        if (!(state.getModel() instanceof XYModel)) {
-            context.getHistory().getChronicle(name).reportError("The fit model should be instance of XYModel for this action. Action failed!");
-            return input;
-        }
-        XYModel model = (XYModel) state.getModel();
-
-        ValuesAdapter adapter;
-        if (metaData.hasMeta("adapter")) {
-            adapter = Adapters.buildAdapter(metaData.getMeta("adapter"));
-        } else if (state.getModel() instanceof XYModel) {
-            adapter = model.getAdapter();
-        } else {
-            throw new RuntimeException("No adapter defined for data interpretation");
-        }
-
-        PlotFrame frame = PlotOutputKt.getPlotFrame(context, getName(), name, metaData.getMeta("frame", Meta.empty()));
-
-        XYFunctionPlot fit = new XYFunctionPlot("fit", Meta.empty(), (Double x) -> model.getSpectrum().value(x, input.getParameters()));
-        fit.setDensity(100);
-        fit.setSmoothing(true);
-        // ensuring all data points are calculated explicitly
-        StreamSupport.stream(data.spliterator(), false)
-                .map(dp -> Adapters.getXValue(adapter, dp).getDouble()).sorted().forEach(fit::calculateIn);
-
-        frame.add(fit);
-
-        frame.add(DataPlot.Companion.plot("data", adapter, data));
-
-        return input;
-    }
-
-}

numass-main/src/main/java/inr/numass/actions/MonitorCorrectAction.java

@@ -129,7 +129,7 @@ public class MonitorCorrectAction extends OneToOneAction<Table, Table> {
 //        }
         Table res = ListTable.infer(dataList);
 
-        context.getOutput().get(name, getName()).render(NumassUtils.INSTANCE.wrap(res, meta), Meta.empty());
+        context.getOutput().get(getName(), name).render(NumassUtils.INSTANCE.wrap(res, meta), Meta.empty());
 
         return res;
     }
@@ -194,7 +194,7 @@ public class MonitorCorrectAction extends OneToOneAction<Table, Table> {
             String monitorFileName = meta.getString("monitorFile", "monitor");
             ListTable data = ListTable.infer(monitorPoints);
 
-            context.getOutput().get(monitorFileName, getName()).render(NumassUtils.INSTANCE.wrap(data, meta), Meta.empty());
+            context.getOutput().get(getName(), monitorFileName).render(NumassUtils.INSTANCE.wrap(data, meta), Meta.empty());
 //            ColumnedDataWriter.writeTable(stream, TableTransform.sort(data, "Timestamp", true), "Monitor points", monitorNames);
         }
     }

numass-main/src/main/java/inr/numass/actions/SubstractSpectrumAction.java

@@ -49,7 +49,7 @@ public class SubstractSpectrumAction extends OneToOneAction<Table, Table> {
 
             Table res = builder.build();
 
-            context.getOutput().get(name, getName()).render(NumassUtils.INSTANCE.wrap(res, inputMeta), Meta.empty());
+            context.getOutput().get(getName(), name).render(NumassUtils.INSTANCE.wrap(res, inputMeta), Meta.empty());
             return res;
         } catch (IOException ex) {
             throw new RuntimeException("Could not read reference file", ex);

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

@@ -295,9 +295,9 @@ class NumassPlugin : BasicPlugin() {
  * @return
  */
 @JvmOverloads
-fun displayJFreeChart(title: String, width: Double = 800.0, height: Double = 600.0, meta: Meta = Meta.empty()): JFreeChartFrame {
+fun displayChart(title: String, context: Context = Global, width: Double = 800.0, height: Double = 600.0, meta: Meta = Meta.empty()): JFreeChartFrame {
     val frame = JFreeChartFrame(meta)
     frame.configureValue("title", title)
-    FXPlugin().apply { startGlobal() }.display(PlotContainer(frame), width, height)
+    context.pluginManager.load<FXPlugin>().display(PlotContainer(frame), width, height)
     return frame
 }

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

@@ -207,8 +207,8 @@ fun pointExpression(expression: String, point: Values): Double {
 /**
  * Add set markers to time chart
  */
-fun addSetMarkers(frame: JFreeChartFrame, sets: Collection<NumassSet>) {
+fun JFreeChartFrame.addSetMarkers(sets: Collection<NumassSet>) {
-    val jfcPlot = frame.chart.xyPlot
+    val jfcPlot = chart.xyPlot
     val paint = Color(0.0f, 0.0f, 1.0f, 0.1f)
     sets.stream().forEach {
         val start = it.startTime;

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

@@ -60,7 +60,7 @@ class MergeDataAction : ManyToOneAction<Table, Table>() {
     }
 
     override fun afterGroup(context: Context, groupName: String, outputMeta: Meta, output: Table) {
-        context.output.get(groupName, name).render(NumassUtils.wrap(output, outputMeta))
+        context.output[name, groupName].render(NumassUtils.wrap(output, outputMeta))
         super.afterGroup(context, groupName, outputMeta, output)
     }
 

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

@@ -0,0 +1,76 @@
+/*
+ * Copyright  2018 Alexander Nozik.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ *  Unless required by applicable law or agreed to in writing, software
+ *  distributed under the License is distributed on an "AS IS" BASIS,
+ *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ *  See the License for the specific language governing permissions and
+ *  limitations under the License.
+ */
+package inr.numass.actions
+
+import hep.dataforge.actions.OneToOneAction
+import hep.dataforge.context.Context
+import hep.dataforge.description.NodeDef
+import hep.dataforge.description.TypedActionDef
+import hep.dataforge.meta.Laminate
+import hep.dataforge.meta.Meta
+import hep.dataforge.plots.XYFunctionPlot
+import hep.dataforge.plots.data.DataPlot
+import hep.dataforge.plots.output.plot
+import hep.dataforge.stat.fit.FitResult
+import hep.dataforge.stat.fit.FitState
+import hep.dataforge.stat.models.XYModel
+import hep.dataforge.tables.Adapters
+import hep.dataforge.tables.ValuesAdapter
+import java.util.stream.StreamSupport
+
+/**
+ * @author darksnake
+ */
+@TypedActionDef(name = "plotFit", info = "Plot fit result", inputType = FitState::class, outputType = FitState::class)
+@NodeDef(key = "adapter", info = "adapter for DataSet being fitted. By default is taken from model.")
+class PlotFitResultAction : OneToOneAction<FitResult, FitResult>() {
+
+    override fun execute(context: Context, name: String, input: FitResult, metaData: Laminate): FitResult {
+
+        val state = input.optState().orElseThrow { UnsupportedOperationException("Can't work with fit result not containing state, sorry! Will fix it later") }
+
+        val data = input.data
+        if (state.model !is XYModel) {
+            context.history.getChronicle(name).reportError("The fit model should be instance of XYModel for this action. Action failed!")
+            return input
+        }
+        val model = state.model as XYModel
+
+        val adapter: ValuesAdapter
+        if (metaData.hasMeta("adapter")) {
+            adapter = Adapters.buildAdapter(metaData.getMeta("adapter"))
+        } else if (state.model is XYModel) {
+            adapter = model.adapter
+        } else {
+            throw RuntimeException("No adapter defined for data interpretation")
+        }
+
+//        val frame = PlotOutputKt.getPlotFrame(context, getName(), name, metaData.getMeta("frame", Meta.empty()))
+
+
+        val fit = XYFunctionPlot("fit", Meta.empty()) { x: Double -> model.spectrum.value(x, input.parameters) }
+        fit.density = 100
+        fit.smoothing = true
+        // ensuring all data points are calculated explicitly
+        StreamSupport.stream(data.spliterator(), false)
+                .map { dp -> Adapters.getXValue(adapter, dp).double }.sorted().forEach{ fit.calculateIn(it) }
+
+        context.plot(this.name, name, listOf(fit,DataPlot.plot("data", adapter, data)))
+
+        return input
+    }
+
+}

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

@@ -108,7 +108,7 @@ object SummaryAction : ManyToOneAction<FitState, Table>() {
     }
 
     override fun afterGroup(context: Context, groupName: String, outputMeta: Meta, output: Table) {
-        context.output.get(groupName, name).render(NumassUtils.wrap(output, outputMeta))
+        context.output[name, groupName].render(NumassUtils.wrap(output, outputMeta))
         super.afterGroup(context, groupName, outputMeta, output)
     }
 

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

@@ -8,7 +8,7 @@ import hep.dataforge.maths.histogram.UnivariateHistogram
 import hep.dataforge.meta.Laminate
 import hep.dataforge.plots.XYFunctionPlot
 import hep.dataforge.plots.data.DataPlot
-import hep.dataforge.plots.output.getPlotFrame
+import hep.dataforge.plots.output.plot
 import hep.dataforge.tables.Adapters
 import hep.dataforge.tables.Table
 import hep.dataforge.values.ValueType
@@ -60,16 +60,6 @@ class TimeAnalyzerAction : OneToOneAction<NumassPoint, Table>() {
 
         if (inputMeta.getBoolean("plotHist", true)) {
 
-            val histPlot = context.getPlotFrame(name, "histogram") {
-                node("xAxis") {
-                    "title" to "delay"
-                    "units" to "us"
-                }
-                node("yAxis") {
-                    "type" to "log"
-                }
-            }
-
             val histogramPlot = DataPlot(name, adapter = Adapters.buildXYAdapter("x", "count"))
                     .configure {
                         "showLine" to true
@@ -80,13 +70,20 @@ class TimeAnalyzerAction : OneToOneAction<NumassPoint, Table>() {
                         configure(inputMeta.getMetaOrEmpty("histogram"))
                     }.fillData(histogram)
 
-            histPlot.add(histogramPlot)
 
-            histPlot.add(
+            val functionPlot = XYFunctionPlot.plot(name + "_theory", 0.0, binSize * binNum) {
-                    XYFunctionPlot.plot(name + "_theory", 0.0, binSize * binNum) {
                 trueCR / 1e6 * initialEstimate.getInt(NumassAnalyzer.COUNT_KEY) * binSize * Math.exp(-it * trueCR / 1e6)
             }
-            )
+
+            context.plot("histogram", name, listOf(histogramPlot, functionPlot)) {
+                "xAxis" to {
+                    "title" to "delay"
+                    "units" to "us"
+                }
+                "yAxis" to {
+                    "type" to "log"
+                }
+            }
         }
 
         if (inputMeta.getBoolean("plotStat", true)) {
@@ -99,7 +96,7 @@ class TimeAnalyzerAction : OneToOneAction<NumassPoint, Table>() {
                 configure(inputMeta.getMetaOrEmpty("plot"))
             }
 
-            context.getPlotFrame(name, "stat-method") {
+            context.plot("stat-method", name, statPlot) {
                 "xAxis" to {
                     "title" to "delay"
                     "units" to "us"
@@ -107,7 +104,7 @@ class TimeAnalyzerAction : OneToOneAction<NumassPoint, Table>() {
                 "yAxis" to {
                     "title" to "Relative count rate"
                 }
-            }.add(statPlot)
+            }
 
             (1..100).map { inputMeta.getDouble("t0Step", 1000.0) * it }.map { t ->
                 val result = analyzer.analyze(input, inputMeta.builder.setValue("t0", t))

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

@@ -8,7 +8,7 @@ import hep.dataforge.kodex.configure
 import hep.dataforge.maths.histogram.UnivariateHistogram
 import hep.dataforge.meta.Laminate
 import hep.dataforge.plots.data.DataPlot
-import hep.dataforge.plots.output.getPlotFrame
+import hep.dataforge.plots.output.plot
 import hep.dataforge.tables.Adapters
 import hep.dataforge.tables.Table
 import hep.dataforge.values.ValueType
@@ -69,16 +69,6 @@ class TimeSpectrumAction : OneToOneAction<NumassPoint, Table>() {
 
         if (inputMeta.getBoolean("plotHist", true)) {
 
-            val histPlot = context.getPlotFrame(name, "histogram"){
-                node("xAxis") {
-                    "axisTitle" to "delay"
-                    "axisUnits" to "us"
-                }
-                node("yAxis") {
-                    "type" to "log"
-                }
-            }
-
             val histogramPlot = DataPlot(name)
                     .configure {
                         "showLine" to true
@@ -91,7 +81,16 @@ class TimeSpectrumAction : OneToOneAction<NumassPoint, Table>() {
                     }.apply { configure(inputMeta.getMetaOrEmpty("histogram")) }
                     .fillData(histogram)
 
-            histPlot.add(histogramPlot)
+
+            context.plot("histogram", name, histogramPlot) {
+                "xAxis" to {
+                    "axisTitle" to "delay"
+                    "axisUnits" to "us"
+                }
+                "yAxis" to {
+                    "type" to "log"
+                }
+            }
         }
 
         if (inputMeta.getBoolean("plotStat", true)) {
@@ -104,7 +103,7 @@ class TimeSpectrumAction : OneToOneAction<NumassPoint, Table>() {
                 configure(inputMeta.getMetaOrEmpty("plot"))
             }
 
-            context.getPlotFrame(name, "stat-method").add(statPlot)
+            context.plot("stat-method", name, statPlot)
 
             (1..100).map { 1000 * it }.map { t ->
                 val result = analyzer.analyze(input, buildMeta {

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

@@ -103,7 +103,7 @@ class TransformDataAction : OneToOneAction<Table, Table>() {
         val res = table.addColumn(ListColumn.build(table.getColumn(COUNT_RATE_KEY).format, cr.stream()))
                 .addColumn(ListColumn.build(table.getColumn(COUNT_RATE_ERROR_KEY).format, crErr.stream()))
 
-        context.output.get(name, name).render(NumassUtils.wrap(res, meta))
+        context.output.get("", name).render(NumassUtils.wrap(res, meta))
         return res
     }
 

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

@@ -18,12 +18,13 @@ package inr.numass.data
 
 import hep.dataforge.context.Context
 import hep.dataforge.context.Global
-import hep.dataforge.fx.plots.FXPlotManager
+import hep.dataforge.fx.plots.display
 import hep.dataforge.kodex.KMetaBuilder
 import hep.dataforge.kodex.buildMeta
 import hep.dataforge.kodex.configure
 import hep.dataforge.kodex.nullable
 import hep.dataforge.plots.data.DataPlot
+import hep.dataforge.plots.jfreechart.JFreeChartFrame
 import hep.dataforge.tables.Adapters
 import inr.numass.data.analyzers.NumassAnalyzer
 import inr.numass.data.analyzers.SmartAnalyzer
@@ -33,12 +34,12 @@ import inr.numass.data.api.NumassBlock
 
 fun NumassBlock.plotAmplitudeSpectrum(plotName: String = "spectrum", frameName: String = "", context: Context = Global, metaAction: KMetaBuilder.() -> Unit = {}) {
     val meta = buildMeta("meta", metaAction)
-    val plotManager = context.load(FXPlotManager::class)
     val binning = meta.getInt("binning", 20)
     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)
-    plotManager.display(name = frameName) {
+    context.display(
+            JFreeChartFrame().apply {
                 val valueAxis = if (meta.getBoolean("normalize", false)) {
                     NumassAnalyzer.COUNT_RATE_KEY
                 } else {
@@ -60,4 +61,5 @@ fun NumassBlock.plotAmplitudeSpectrum(plotName: String = "spectrum", frameName:
                 plot.configure(meta)
                 add(plot)
             }
+    )
 }

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

@@ -1,10 +1,11 @@
 package inr.numass.models.mc
 
 import hep.dataforge.context.Global
-import hep.dataforge.fx.plots.FXPlotManager
+import hep.dataforge.fx.plots.display
 import hep.dataforge.kodex.buildMeta
 import hep.dataforge.maths.chain.Chain
 import hep.dataforge.plots.XYFunctionPlot
+import hep.dataforge.plots.jfreechart.chart
 import hep.dataforge.stat.PolynomialDistribution
 import hep.dataforge.stat.fit.ParamSet
 import inr.numass.NumassPlugin
@@ -17,7 +18,6 @@ fun sampleBeta(params: ParamSet): Chain<Double> {
 
 fun main(args: Array<String>) {
     NumassPlugin().startGlobal()
-    val pm = FXPlotManager().apply { startGlobal() }
     val meta = buildMeta("model") {
         "fast" to true
         node("resolution") {
@@ -47,9 +47,10 @@ fun main(args: Array<String>) {
         50 * distribution.density(18600.0 - it)
     }
 
-    pm.getPlotFrame("beta").apply {
+    Global.display(
+            chart {
                 add(spectrumPlot)
                 add(distributionPlot)
             }
-
+    )
 }

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

@@ -1,6 +1,5 @@
 package inr.numass.scripts
 
-import hep.dataforge.fx.plots.FXPlotManager
 import hep.dataforge.kodex.buildMeta
 import inr.numass.actions.TimeAnalyzerAction
 import inr.numass.data.api.SimpleNumassPoint
@@ -14,9 +13,6 @@ import kotlinx.coroutines.experimental.runBlocking
 import java.time.Instant
 
 fun main(args: Array<String>) {
-
-    FXPlotManager().startGlobal()
-
     val cr = 10.0
     val length = 1e12.toLong()
     val num = 60;

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

@@ -17,7 +17,6 @@
 package inr.numass.scripts
 
 import hep.dataforge.description.Descriptors
-import hep.dataforge.fx.plots.FXPlotManager
 import hep.dataforge.kodex.buildContext
 import hep.dataforge.kodex.buildMeta
 import hep.dataforge.kodex.replaceColumn
@@ -30,10 +29,11 @@ import inr.numass.data.analyzers.subtractAmplitudeSpectrum
 import inr.numass.data.analyzers.withBinning
 import inr.numass.data.api.NumassSet
 import inr.numass.data.storage.NumassStorageFactory
+import inr.numass.displayChart
 
 fun main(args: Array<String>) {
 
-    val context = buildContext("NUMASS", NumassPlugin::class.java, FXPlotManager::class.java) {
+    val context = buildContext("NUMASS", NumassPlugin::class.java) {
         rootDir = "D:\\Work\\Numass\\sterile\\2017_11"
         dataDir = "D:\\Work\\Numass\\data\\2017_11"
     }
@@ -59,14 +59,12 @@ fun main(args: Array<String>) {
         "window.up" to 1600
     }
 
-    val plots = context.get(FXPlotManager::class.java)
+    val frame = displayChart("differential").apply {
-
-    val frame = plots.getPlotFrame("differential").apply {
         this.plots.descriptor = Descriptors.buildDescriptor(DataPlot::class)
         this.plots.configureValue("showLine", true)
     }
 
-    val integralFrame = plots.getPlotFrame("integral")
+    val integralFrame = displayChart("integral")
 
     for (hv in arrayOf(14000.0, 14500.0, 15000.0, 15500.0, 16050.0)) {
         val point1 = all.optPoint(hv).get()

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

@@ -17,7 +17,6 @@
 package inr.numass.scripts
 
 import hep.dataforge.description.Descriptors
-import hep.dataforge.fx.plots.FXPlotManager
 import hep.dataforge.kodex.buildContext
 import hep.dataforge.kodex.buildMeta
 import hep.dataforge.plots.data.DataPlot
@@ -28,11 +27,12 @@ import inr.numass.data.analyzers.SmartAnalyzer
 import inr.numass.data.analyzers.withBinning
 import inr.numass.data.api.NumassSet
 import inr.numass.data.storage.NumassStorageFactory
+import inr.numass.displayChart
 
 
 fun main(args: Array<String>) {
 
-    val context = buildContext("NUMASS", NumassPlugin::class.java, FXPlotManager::class.java) {
+    val context = buildContext("NUMASS", NumassPlugin::class.java) {
         rootDir = "D:\\Work\\Numass\\sterile\\2017_11"
         dataDir = "D:\\Work\\Numass\\data\\2017_11"
     }
@@ -63,11 +63,9 @@ fun main(args: Array<String>) {
     val metaForChainInverted = metaForChain.builder.setValue("inverted", true)
 
 
-    val plots = context.get(FXPlotManager::class.java)
-
     for (hv in arrayOf(14000.0, 14500.0, 15000.0, 15500.0, 16050.0)) {
 
-        val frame = plots.getPlotFrame("integral[$hv]").apply {
+        val frame = displayChart("integral[$hv]").apply {
             this.plots.descriptor = Descriptors.buildDescriptor(DataPlot::class)
             this.plots.configureValue("showLine", true)
         }

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

@@ -17,22 +17,21 @@
 package inr.numass.scripts
 
 import hep.dataforge.description.Descriptors
-import hep.dataforge.fx.plots.FXPlotManager
 import hep.dataforge.kodex.buildContext
 import hep.dataforge.kodex.buildMeta
 import hep.dataforge.plots.data.DataPlot
 import inr.numass.NumassPlugin
 import inr.numass.data.analyzers.NumassAnalyzer.Companion.AMPLITUDE_ADAPTER
-
 import inr.numass.data.analyzers.SmartAnalyzer
 import inr.numass.data.analyzers.withBinning
 import inr.numass.data.storage.ProtoNumassPoint
+import inr.numass.displayChart
 import java.nio.file.Paths
 
 
 fun main(args: Array<String>) {
 
-    val context = buildContext("NUMASS", NumassPlugin::class.java, FXPlotManager::class.java)
+    val context = buildContext("NUMASS", NumassPlugin::class.java)
 
     val analyzer = SmartAnalyzer()
 
@@ -45,12 +44,9 @@ fun main(args: Array<String>) {
 
     val metaForChainInverted = metaForChain.builder.setValue("inverted", true)
 
-
-    val plots = context.get(FXPlotManager::class.java)
-
     val point = ProtoNumassPoint.readFile(Paths.get("D:\\Work\\Numass\\data\\2017_05_frames\\Fill_3_events\\set_33\\p36(30s)(HV1=17000).df"))
 
-    val frame = plots.getPlotFrame("integral").apply {
+    val frame = displayChart("integral").apply {
         this.plots.descriptor = Descriptors.buildDescriptor(DataPlot::class)
         this.plots.configureValue("showLine", true)
     }

numass-main/src/main/kotlin/inr/numass/scripts/timeanalysis/AnalyzePoint.kt

@@ -1,7 +1,6 @@
 package inr.numass.scripts.timeanalysis
 
 import hep.dataforge.data.DataSet
-import hep.dataforge.fx.plots.FXPlotManager
 import hep.dataforge.kodex.buildContext
 import hep.dataforge.kodex.buildMeta
 import inr.numass.NumassPlugin
@@ -14,7 +13,7 @@ import inr.numass.data.storage.NumassStorageFactory
 
 fun main(args: Array<String>) {
 
-    val context = buildContext("NUMASS", NumassPlugin::class.java, FXPlotManager::class.java) {
+    val context = buildContext("NUMASS", NumassPlugin::class.java) {
         rootDir = "D:\\Work\\Numass\\sterile2018_04"
         dataDir = "D:\\Work\\Numass\\data\\2018_04"
     }

numass-main/src/main/kotlin/inr/numass/scripts/timeanalysis/TestAnalyzer.kt

@@ -1,7 +1,6 @@
 package inr.numass.scripts.timeanalysis
 
 import hep.dataforge.context.Global
-import hep.dataforge.fx.plots.FXPlotManager
 import hep.dataforge.kodex.buildMeta
 import hep.dataforge.kodex.coroutineContext
 import hep.dataforge.kodex.generate
@@ -19,7 +18,6 @@ import java.lang.Math.exp
 import java.time.Instant
 
 fun main(args: Array<String>) {
-    FXPlotManager().startGlobal()
     NumassPlugin().startGlobal()
 
     val cr = 30e3

numass-main/src/main/kotlin/inr/numass/scripts/tristan/ViewPoint.kt

@@ -1,6 +1,5 @@
 package inr.numass.scripts.tristan
 
-import hep.dataforge.kodex.toList
 import inr.numass.data.api.MetaBlock
 import inr.numass.data.api.NumassBlock
 import inr.numass.data.api.NumassPoint
@@ -11,7 +10,7 @@ import java.io.File
 
 
 private fun NumassPoint.getChannels(): Map<Int, NumassBlock> {
-    return blocks.toList().groupBy { it.channel ?: 0 }.mapValues { entry ->
+    return blocks.toList().groupBy { it.channel }.mapValues { entry ->
         if (entry.value.size == 1) {
             entry.value.first()
         } else {

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

@@ -68,7 +68,7 @@ object NumassFitScanSummaryTask : AbstractTask<Table>() {
                         pars.getValue("trap"))
             }
             val res = TableTransform.sort(builder.build(), "m", true)
-            context.output.get(nodeName, stage = name).render(NumassUtils.wrap(res, meta))
+            context.output[name, nodeName].render(NumassUtils.wrap(res, meta))
             return res
         }
 

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

@@ -6,21 +6,17 @@ import hep.dataforge.data.DataTree
 import hep.dataforge.data.DataUtils
 import hep.dataforge.description.ValueDef
 import hep.dataforge.description.ValueDefs
-import hep.dataforge.fx.plots.FXPlotManager
-import hep.dataforge.fx.plots.plus
-import hep.dataforge.io.output.Output.Companion.BINARY_MODE
 import hep.dataforge.io.output.stream
 import hep.dataforge.kodex.buildMeta
-import hep.dataforge.kodex.configure
 import hep.dataforge.kodex.task
 import hep.dataforge.kodex.useMeta
 import hep.dataforge.meta.Meta
 import hep.dataforge.meta.MetaUtils
-import hep.dataforge.plots.PlotFrame
-import hep.dataforge.plots.PlotUtils
 import hep.dataforge.plots.XYFunctionPlot
 import hep.dataforge.plots.data.DataPlot
 import hep.dataforge.plots.jfreechart.JFreeChartFrame
+import hep.dataforge.plots.output.PlotOutput
+import hep.dataforge.plots.output.plot
 import hep.dataforge.stat.fit.FitHelper
 import hep.dataforge.stat.fit.FitResult
 import hep.dataforge.stat.models.XYModel
@@ -62,7 +58,7 @@ val analyzeTask = task("analyze") {
     pipe<NumassSet, Table> { set ->
         SmartAnalyzer().analyzeSet(set, meta).also { res ->
             val outputMeta = meta.builder.putNode("data", set.meta)
-            context.output.get(name, stage = "numass.analyze").render(NumassUtils.wrap(res, outputMeta))
+            context.output["numass.analyze", name].render(NumassUtils.wrap(res, outputMeta))
         }
     }
 }
@@ -93,27 +89,17 @@ val monitorTableTask = task("monitor") {
                 ).build()
 
         if (meta.getBoolean("showPlot", true)) {
-            context.provide("plots", FXPlotManager::class.java).ifPresent {
+            val plot = DataPlot.plot(name, Adapters.buildXYAdapter("timestamp", "cr", "crErr"), res)
-                it.display(stage = "monitor") {
+            context.plot("numass.monitor", name, plot) {
-                    configure {
                 "xAxis.title" to "time"
                 "xAxis.type" to "time"
                 "yAxis.title" to "Count rate"
                 "yAxis.units" to "Hz"
             }
-                    plots + DataPlot.plot(name, Adapters.buildXYAdapter("timestamp", "cr", "crErr"), res)
+            ((context.output["numass.monitor", name] as? PlotOutput)?.frame as? JFreeChartFrame)?.addSetMarkers(data.values)
-                }.also { frame ->
-                    if (frame is JFreeChartFrame) {
-                        //add set markers
-                        addSetMarkers(frame, data.values)
-                    }
-                    context.output.get(name, "numass.monitor", BINARY_MODE).render(PlotFrame.Wrapper().wrap(frame))
-
-                }
-            }
         }
 
-        context.output.get(name, stage = "numass.monitor").render(NumassUtils.wrap(res, meta))
+        context.output.get("numass.monitor", name).render(NumassUtils.wrap(res, meta))
 
         return@join res;
     }
@@ -172,7 +158,7 @@ val subtractEmptyTask = task("dif") {
 
             res.goal.onComplete { r, _ ->
                 if (r != null) {
-                    context.output.get(input.name + "_subtract", stage = "numass.merge").render(NumassUtils.wrap(r, resMeta))
+                    context.output.get("numass.merge", input.name + "_subtract").render(NumassUtils.wrap(r, resMeta))
                 }
             }
 
@@ -223,7 +209,7 @@ val fitTask = task("fit") {
         configure(meta.getMeta("fit"))
     }
     pipe<Table, FitResult> { data ->
-        context.output[name, "numass.fit"].stream.use { out ->
+        context.output["numass.fit", name].stream.use { out ->
             val writer = PrintWriter(out)
             writer.printf("%n*** META ***%n")
             writer.println(meta.toString())
@@ -249,30 +235,25 @@ val plotFitTask = task("plotFit") {
         dependsOn(fitTask, meta)
         configure(meta.getMetaOrEmpty("plotFit"))
     }
-    pipe<FitResult, PlotFrame> { input ->
+    pipe<FitResult, FitResult> { input ->
         val fitModel = input.optModel(context).orElseThrow { IllegalStateException("Can't load model") } as XYModel
 
         val data = input.data
-
         val adapter: ValuesAdapter = fitModel.adapter
-
         val function = { x: Double -> fitModel.spectrum.value(x, input.parameters) }
 
-        val frame = PlotUtils.getPlotManager(context)
-                .getPlotFrame("numass.plotFit", name, meta.getMeta("frame", Meta.empty()))
-
         val fit = XYFunctionPlot("fit", function = function).apply {
             density = 100
         }
 
-        frame.add(fit)
-
         // ensuring all data points are calculated explicitly
         StreamSupport.stream<Values>(data.spliterator(), false)
                 .map { dp -> Adapters.getXValue(adapter, dp).double }.sorted().forEach { fit.calculateIn(it) }
 
-        frame.add(DataPlot.plot("data", adapter, data))
+        val dataPlot = DataPlot.plot("data", adapter, data)
 
-        return@pipe frame;
+        context.plot("numass.plotFit", name, listOf(fit, dataPlot))
+
+        return@pipe input;
     }
 }

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

@@ -36,6 +36,6 @@ public class PlotScatter {
                 + "'ionW'	= 11.33 ± 0.43\n"
                 + "'exIonRatio'	= 4.83 ± 0.36"
         );
-        LossCalculator.plotScatter(NumassPluginKt.displayJFreeChart("Loss function"), pars);
+        LossCalculator.plotScatter(NumassPluginKt.displayChart("Loss function"), pars);
     }
 }

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

@@ -32,7 +32,7 @@ public class TestNeLossParametrisation {
      * @param args the command line arguments
      */
     public static void main(String[] args) {
-        PlotFrame frame = NumassPluginKt.displayJFreeChart("Loss parametrisation test");
+        PlotFrame frame = NumassPluginKt.displayChart("Loss parametrisation test");
     //JFreeChartFrame.drawFrame("Loss parametrisation test", null);
         UnivariateFunction oldFunction = LossCalculator.getSingleScatterFunction();
         UnivariateFunction newFunction = getSingleScatterFunction(12.86, 16.78, 1.65, 12.38, 4.79);

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

@@ -28,7 +28,7 @@ import inr.numass.NumassPluginKt;
 public class TransmissionInterpolatorTest {
 
     public static void main(String[] args) {
-        JFreeChartFrame frame = NumassPluginKt.displayJFreeChart("TransmissionInterpolatorTest");
+        JFreeChartFrame frame = NumassPluginKt.displayChart("TransmissionInterpolatorTest");
 //JFreeChartFrame.drawFrame("TransmissionInterpolatorTest", null);
         TransmissionInterpolator interpolator = TransmissionInterpolator.fromFile(Global.INSTANCE,
                 "d:\\sterile-new\\loss2014-11\\.dataforge\\merge\\empty_sum.onComplete", "Uset", "CR", 15, 0.8, 19002d);