Grind dsl refinement + task & workspace fixes

This commit is contained in:
Alexander Nozik 2016-08-14 16:24:12 +03:00
parent 2cfc74dea8
commit e1d0c50745
21 changed files with 175 additions and 134 deletions

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@ -16,22 +16,21 @@
package hep.dataforge.plotfit; package hep.dataforge.plotfit;
import hep.dataforge.actions.OneToOneAction; import hep.dataforge.actions.OneToOneAction;
import hep.dataforge.context.Context;
import hep.dataforge.stat.fit.FitState;
import hep.dataforge.stat.models.XYModel;
import hep.dataforge.description.NodeDef; import hep.dataforge.description.NodeDef;
import hep.dataforge.description.TypedActionDef; import hep.dataforge.description.TypedActionDef;
import hep.dataforge.description.ValueDef; import hep.dataforge.description.ValueDef;
import hep.dataforge.exceptions.ContentException; import hep.dataforge.exceptions.ContentException;
import hep.dataforge.io.reports.Reportable;
import hep.dataforge.meta.Laminate; import hep.dataforge.meta.Laminate;
import hep.dataforge.meta.Meta; import hep.dataforge.meta.Meta;
import hep.dataforge.plots.PlotsPlugin; import hep.dataforge.plots.PlotsPlugin;
import hep.dataforge.plots.XYPlotFrame; import hep.dataforge.plots.XYPlotFrame;
import hep.dataforge.plots.data.PlottableData; import hep.dataforge.plots.data.PlottableData;
import hep.dataforge.plots.data.PlottableXYFunction; import hep.dataforge.plots.data.PlottableXYFunction;
import hep.dataforge.stat.fit.FitState;
import hep.dataforge.stat.models.XYModel;
import hep.dataforge.tables.PointSource; import hep.dataforge.tables.PointSource;
import hep.dataforge.tables.XYAdapter; import hep.dataforge.tables.XYAdapter;
import java.util.function.Function; import java.util.function.Function;
import java.util.stream.StreamSupport; import java.util.stream.StreamSupport;
@ -45,11 +44,11 @@ import java.util.stream.StreamSupport;
public class PlotFitResultAction extends OneToOneAction<FitState, FitState> { public class PlotFitResultAction extends OneToOneAction<FitState, FitState> {
@Override @Override
protected FitState execute(Reportable log, String name, Laminate metaData, FitState input) { protected FitState execute(String name, Laminate metaData, FitState input) {
PointSource data = input.getDataSet(); PointSource data = input.getDataSet();
if (!(input.getModel() instanceof XYModel)) { if (!(input.getModel() instanceof XYModel)) {
log.reportError("The fit model should be instance of XYModel for this action. Action failed!"); getReport(name).reportError("The fit model should be instance of XYModel for this action. Action failed!");
return input; return input;
} }
XYModel model = (XYModel) input.getModel(); XYModel model = (XYModel) input.getModel();

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@ -7,13 +7,13 @@ package inr.numass.actions;
import hep.dataforge.actions.OneToOneAction; import hep.dataforge.actions.OneToOneAction;
import hep.dataforge.description.TypedActionDef; import hep.dataforge.description.TypedActionDef;
import hep.dataforge.io.reports.Reportable;
import hep.dataforge.meta.Laminate; import hep.dataforge.meta.Laminate;
import hep.dataforge.meta.Meta; import hep.dataforge.meta.Meta;
import hep.dataforge.tables.DataPoint; import hep.dataforge.tables.DataPoint;
import hep.dataforge.tables.ListTable; import hep.dataforge.tables.ListTable;
import hep.dataforge.tables.MapPoint; import hep.dataforge.tables.MapPoint;
import hep.dataforge.tables.Table; import hep.dataforge.tables.Table;
import java.util.ArrayList; import java.util.ArrayList;
import java.util.List; import java.util.List;
@ -26,7 +26,7 @@ import java.util.List;
public class AdjustErrorsAction extends OneToOneAction<Table, Table> { public class AdjustErrorsAction extends OneToOneAction<Table, Table> {
@Override @Override
protected Table execute(Reportable log, String name, Laminate meta, Table input) { protected Table execute(String name, Laminate meta, Table input) {
List<DataPoint> points = new ArrayList<>(); List<DataPoint> points = new ArrayList<>();
for (DataPoint dp : input) { for (DataPoint dp : input) {
points.add(evalPoint(meta, dp)); points.add(evalPoint(meta, dp));

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@ -19,16 +19,15 @@ import hep.dataforge.actions.OneToOneAction;
import hep.dataforge.description.TypedActionDef; import hep.dataforge.description.TypedActionDef;
import hep.dataforge.description.ValueDef; import hep.dataforge.description.ValueDef;
import hep.dataforge.exceptions.ContentException; import hep.dataforge.exceptions.ContentException;
import hep.dataforge.io.reports.Reportable;
import hep.dataforge.meta.Laminate; import hep.dataforge.meta.Laminate;
import inr.numass.storage.RawNMFile;
import inr.numass.storage.RawNMPoint;
import inr.numass.debunch.DebunchReport; import inr.numass.debunch.DebunchReport;
import inr.numass.debunch.FrameAnalizer; import inr.numass.debunch.FrameAnalizer;
import inr.numass.storage.RawNMFile;
import inr.numass.storage.RawNMPoint;
import java.io.PrintWriter; import java.io.PrintWriter;
/** /**
*
* @author Darksnake * @author Darksnake
*/ */
@TypedActionDef(name = "debunch", inputType = RawNMFile.class, outputType = RawNMFile.class) @TypedActionDef(name = "debunch", inputType = RawNMFile.class, outputType = RawNMFile.class)
@ -40,8 +39,8 @@ import java.io.PrintWriter;
public class DebunchAction extends OneToOneAction<RawNMFile, RawNMFile> { public class DebunchAction extends OneToOneAction<RawNMFile, RawNMFile> {
@Override @Override
protected RawNMFile execute(Reportable log, String name, Laminate meta, RawNMFile source) throws ContentException { protected RawNMFile execute(String name, Laminate meta, RawNMFile source) throws ContentException {
log.report("File {} started", source.getName()); report(name, "File {} started", source.getName());
int upper = meta.getInt("upperchanel", RawNMPoint.MAX_CHANEL); int upper = meta.getInt("upperchanel", RawNMPoint.MAX_CHANEL);
int lower = meta.getInt("lowerchanel", 0); int lower = meta.getInt("lowerchanel", 0);
@ -56,7 +55,7 @@ public class DebunchAction extends OneToOneAction<RawNMFile, RawNMFile> {
if (cr < maxCR) { if (cr < maxCR) {
DebunchReport report = new FrameAnalizer(rejectionprob, framelength, lower, upper).debunchPoint(point); DebunchReport report = new FrameAnalizer(rejectionprob, framelength, lower, upper).debunchPoint(point);
log.report("Debunching file '{}', point '{}': {} percent events {} percent time in bunches", report(name, "Debunching file '{}', point '{}': {} percent events {} percent time in bunches",
source.getName(), point.getUset(), report.eventsFiltred() * 100, report.timeFiltred() * 100); source.getName(), point.getUset(), report.eventsFiltred() * 100, report.timeFiltred() * 100);
point = report.getPoint(); point = report.getPoint();
} }
@ -64,9 +63,9 @@ public class DebunchAction extends OneToOneAction<RawNMFile, RawNMFile> {
}).forEach((point) -> { }).forEach((point) -> {
res.putPoint(point); res.putPoint(point);
}); });
log.report("File {} completed", source.getName()); report(name, "File {} completed", source.getName());
log.getReport().print(new PrintWriter(buildActionOutput(name))); getReport(name).print(new PrintWriter(buildActionOutput(name)));
// res.configure(source.meta()); // res.configure(source.meta());
return res; return res;

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@ -16,11 +16,9 @@
package inr.numass.actions; package inr.numass.actions;
import hep.dataforge.actions.OneToOneAction; import hep.dataforge.actions.OneToOneAction;
import hep.dataforge.context.Context;
import hep.dataforge.description.TypedActionDef; import hep.dataforge.description.TypedActionDef;
import hep.dataforge.exceptions.ContentException; import hep.dataforge.exceptions.ContentException;
import hep.dataforge.io.ColumnedDataWriter; import hep.dataforge.io.ColumnedDataWriter;
import hep.dataforge.io.reports.Reportable;
import hep.dataforge.meta.Laminate; import hep.dataforge.meta.Laminate;
import hep.dataforge.tables.ListTable; import hep.dataforge.tables.ListTable;
import hep.dataforge.tables.MapPoint; import hep.dataforge.tables.MapPoint;
@ -29,13 +27,13 @@ import hep.dataforge.values.Value;
import inr.numass.storage.NMFile; import inr.numass.storage.NMFile;
import inr.numass.storage.NMPoint; import inr.numass.storage.NMPoint;
import inr.numass.storage.NumassData; import inr.numass.storage.NumassData;
import org.apache.commons.math3.analysis.UnivariateFunction;
import java.io.OutputStream; import java.io.OutputStream;
import java.util.HashMap; import java.util.HashMap;
import java.util.Map; import java.util.Map;
import org.apache.commons.math3.analysis.UnivariateFunction;
/** /**
*
* @author Darksnake * @author Darksnake
*/ */
@TypedActionDef(name = "findBorder", inputType = NMFile.class, outputType = Table.class) @TypedActionDef(name = "findBorder", inputType = NMFile.class, outputType = Table.class)
@ -47,8 +45,8 @@ public class FindBorderAction extends OneToOneAction<NumassData, Table> {
private UnivariateFunction normCorrection = e -> 1 + 13.265 * Math.exp(-e / 2343.4); private UnivariateFunction normCorrection = e -> 1 + 13.265 * Math.exp(-e / 2343.4);
@Override @Override
protected Table execute(Reportable log, String name, Laminate meta, NumassData source) throws ContentException { protected Table execute(String name, Laminate meta, NumassData source) throws ContentException {
log.report("File {} started", source.getName()); report(name, "File {} started", source.getName());
int upperBorder = meta.getInt("upper", 4094); int upperBorder = meta.getInt("upper", 4094);
int lowerBorder = meta.getInt("lower", 0); int lowerBorder = meta.getInt("lower", 0);
@ -58,7 +56,7 @@ public class FindBorderAction extends OneToOneAction<NumassData, Table> {
if (substractReference > 0) { if (substractReference > 0) {
referencePoint = source.getByUset(substractReference); referencePoint = source.getByUset(substractReference);
if (referencePoint == null) { if (referencePoint == null) {
log.report("Reference point {} not found", substractReference); report(name, "Reference point {} not found", substractReference);
} }
} }
@ -71,7 +69,7 @@ public class FindBorderAction extends OneToOneAction<NumassData, Table> {
ColumnedDataWriter.writeDataSet(stream, bData, String.format("%s : lower = %d upper = %d", name, lowerBorder, upperBorder)); ColumnedDataWriter.writeDataSet(stream, bData, String.format("%s : lower = %d upper = %d", name, lowerBorder, upperBorder));
log.report("File {} completed", source.getName()); report(name, "File {} completed", source.getName());
return bData; return bData;
} }

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@ -21,7 +21,6 @@ import hep.dataforge.data.DataNode;
import hep.dataforge.description.NodeDef; import hep.dataforge.description.NodeDef;
import hep.dataforge.description.TypedActionDef; import hep.dataforge.description.TypedActionDef;
import hep.dataforge.io.ColumnedDataWriter; import hep.dataforge.io.ColumnedDataWriter;
import hep.dataforge.io.reports.Reportable;
import hep.dataforge.meta.Meta; import hep.dataforge.meta.Meta;
import hep.dataforge.meta.MetaBuilder; import hep.dataforge.meta.MetaBuilder;
import hep.dataforge.tables.*; import hep.dataforge.tables.*;
@ -53,13 +52,13 @@ public class MergeDataAction extends ManyToOneAction<Table, Table> {
} }
@Override @Override
protected Table execute(Reportable log, String nodeName, Map<String, Table> data, Meta meta) { protected Table execute(String nodeName, Map<String, Table> data, Meta meta) {
Table res = mergeDataSets(nodeName, data.values()); Table res = mergeDataSets(nodeName, data.values());
return new ListTable(res.getFormat(), res.sort("Uset", true)); return new ListTable(res.getFormat(), res.sort("Uset", true));
} }
@Override @Override
protected void afterGroup(Reportable log, String groupName, Meta outputMeta, Table output) { protected void afterGroup(String groupName, Meta outputMeta, Table output) {
OutputStream stream = buildActionOutput(groupName); OutputStream stream = buildActionOutput(groupName);
ColumnedDataWriter.writeDataSet(stream, output, outputMeta.toString()); ColumnedDataWriter.writeDataSet(stream, output, outputMeta.toString());
} }

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@ -20,7 +20,6 @@ import hep.dataforge.description.TypedActionDef;
import hep.dataforge.description.ValueDef; import hep.dataforge.description.ValueDef;
import hep.dataforge.exceptions.ContentException; import hep.dataforge.exceptions.ContentException;
import hep.dataforge.io.ColumnedDataWriter; import hep.dataforge.io.ColumnedDataWriter;
import hep.dataforge.io.reports.Reportable;
import hep.dataforge.meta.Laminate; import hep.dataforge.meta.Laminate;
import hep.dataforge.meta.Meta; import hep.dataforge.meta.Meta;
import hep.dataforge.tables.DataPoint; import hep.dataforge.tables.DataPoint;
@ -56,13 +55,13 @@ public class MonitorCorrectAction extends OneToOneAction<Table, Table> {
//FIXME remove from state //FIXME remove from state
@Override @Override
protected Table execute(Reportable log, String name, Laminate meta, Table sourceData) throws ContentException { protected Table execute(String name, Laminate meta, Table sourceData) throws ContentException {
double monitor = meta.getDouble("monitorPoint", Double.NaN); double monitor = meta.getDouble("monitorPoint", Double.NaN);
TreeMap<Instant, DataPoint> index = getMonitorIndex(monitor, sourceData); TreeMap<Instant, DataPoint> index = getMonitorIndex(monitor, sourceData);
if (index.isEmpty()) { if (index.isEmpty()) {
log.reportError("No monitor points found"); getReport(name).reportError("No monitor points found");
return sourceData; return sourceData;
} }
double norm = 0; double norm = 0;

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@ -6,9 +6,7 @@
package inr.numass.actions; package inr.numass.actions;
import hep.dataforge.actions.OneToOneAction; import hep.dataforge.actions.OneToOneAction;
import hep.dataforge.context.Context;
import hep.dataforge.description.TypedActionDef; import hep.dataforge.description.TypedActionDef;
import hep.dataforge.io.reports.Reportable;
import hep.dataforge.meta.Laminate; import hep.dataforge.meta.Laminate;
import hep.dataforge.meta.Meta; import hep.dataforge.meta.Meta;
import inr.numass.storage.NMPoint; import inr.numass.storage.NMPoint;
@ -16,6 +14,7 @@ import inr.numass.storage.NumassData;
import inr.numass.storage.RawNMPoint; import inr.numass.storage.RawNMPoint;
import inr.numass.utils.PileUpSimulator; import inr.numass.utils.PileUpSimulator;
import inr.numass.utils.TritiumUtils; import inr.numass.utils.TritiumUtils;
import java.time.Instant; import java.time.Instant;
import java.util.ArrayList; import java.util.ArrayList;
import java.util.LinkedHashMap; import java.util.LinkedHashMap;
@ -31,7 +30,7 @@ import java.util.Map;
public class PileupSimulationAction extends OneToOneAction<NumassData, Map<String, NumassData>> { public class PileupSimulationAction extends OneToOneAction<NumassData, Map<String, NumassData>> {
@Override @Override
protected Map<String, NumassData> execute(Reportable log, String name, Laminate inputMeta, NumassData input) { protected Map<String, NumassData> execute(String name, Laminate inputMeta, NumassData input) {
int lowerChannel = inputMeta.getInt("lowerChannel", 1); int lowerChannel = inputMeta.getInt("lowerChannel", 1);
int upperChannel = inputMeta.getInt("upperChannel", RawNMPoint.MAX_CHANEL - 1); int upperChannel = inputMeta.getInt("upperChannel", RawNMPoint.MAX_CHANEL - 1);

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@ -68,7 +68,7 @@ public class PrepareDataAction extends OneToOneAction<NumassData, Table> {
} }
@Override @Override
protected ListTable execute(Reportable log, String name, Laminate meta, NumassData dataFile) { protected ListTable execute(String name, Laminate meta, NumassData dataFile) {
// log.report("File %s started", dataFile.getName()); // log.report("File %s started", dataFile.getName());
int upper = meta.getInt("upperWindow", RawNMPoint.MAX_CHANEL - 1); int upper = meta.getInt("upperWindow", RawNMPoint.MAX_CHANEL - 1);
@ -99,7 +99,7 @@ public class PrepareDataAction extends OneToOneAction<NumassData, Table> {
// count rate error after all corrections // count rate error after all corrections
double crErr = TritiumUtils.countRateWithDeadTimeErr(point, a, b, deadTimeFunction.apply(point)); double crErr = TritiumUtils.countRateWithDeadTimeErr(point, a, b, deadTimeFunction.apply(point));
double correctionFactor = correction(log, point, meta); double correctionFactor = correction(getReport(name), point, meta);
cr = cr * correctionFactor; cr = cr * correctionFactor;
crErr = crErr * correctionFactor; crErr = crErr * correctionFactor;

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@ -16,18 +16,17 @@
package inr.numass.actions; package inr.numass.actions;
import hep.dataforge.actions.OneToOneAction; import hep.dataforge.actions.OneToOneAction;
import hep.dataforge.context.Context;
import hep.dataforge.data.binary.Binary; import hep.dataforge.data.binary.Binary;
import hep.dataforge.description.NodeDef; import hep.dataforge.description.NodeDef;
import hep.dataforge.description.TypedActionDef; import hep.dataforge.description.TypedActionDef;
import hep.dataforge.description.ValueDef; import hep.dataforge.description.ValueDef;
import hep.dataforge.exceptions.ContentException; import hep.dataforge.exceptions.ContentException;
import hep.dataforge.io.reports.Reportable;
import hep.dataforge.meta.Laminate; import hep.dataforge.meta.Laminate;
import static inr.numass.NumassIO.getNumassData;
import inr.numass.storage.NMFile; import inr.numass.storage.NMFile;
import inr.numass.storage.RawNMFile; import inr.numass.storage.RawNMFile;
import static inr.numass.NumassIO.getNumassData;
/** /**
* *
* @author Darksnake * @author Darksnake
@ -42,7 +41,7 @@ import inr.numass.storage.RawNMFile;
public class ReadNumassDataAction extends OneToOneAction<Binary, NMFile> { public class ReadNumassDataAction extends OneToOneAction<Binary, NMFile> {
@Override @Override
protected NMFile execute(Reportable log, String name, Laminate meta, Binary source) throws ContentException { protected NMFile execute(String name, Laminate meta, Binary source) throws ContentException {
// log.logString("File '%s' started", source.getName()); // log.logString("File '%s' started", source.getName());
RawNMFile raw = getNumassData(source, meta); RawNMFile raw = getNumassData(source, meta);
if (meta.getBoolean("paw", false)) { if (meta.getBoolean("paw", false)) {
@ -54,7 +53,7 @@ public class ReadNumassDataAction extends OneToOneAction<Binary, NMFile> {
Laminate laminate = new Laminate(meta.getNode("debunch")) Laminate laminate = new Laminate(meta.getNode("debunch"))
.setValueContext(getContext()) .setValueContext(getContext())
.setDescriptor(debunch.getDescriptor()); .setDescriptor(debunch.getDescriptor());
raw = debunch.execute(log, name, laminate, raw); raw = debunch.execute(name, laminate, raw);
} }
NMFile result = new NMFile(raw); NMFile result = new NMFile(raw);

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@ -6,10 +6,8 @@
package inr.numass.actions; package inr.numass.actions;
import hep.dataforge.actions.OneToOneAction; import hep.dataforge.actions.OneToOneAction;
import hep.dataforge.context.Context;
import hep.dataforge.description.TypedActionDef; import hep.dataforge.description.TypedActionDef;
import hep.dataforge.io.ColumnedDataWriter; import hep.dataforge.io.ColumnedDataWriter;
import hep.dataforge.io.reports.Reportable;
import hep.dataforge.meta.Laminate; import hep.dataforge.meta.Laminate;
import hep.dataforge.meta.Meta; import hep.dataforge.meta.Meta;
import hep.dataforge.meta.MetaBuilder; import hep.dataforge.meta.MetaBuilder;
@ -17,21 +15,13 @@ import hep.dataforge.plots.PlotsPlugin;
import hep.dataforge.plots.XYPlotFrame; import hep.dataforge.plots.XYPlotFrame;
import hep.dataforge.plots.XYPlottable; import hep.dataforge.plots.XYPlottable;
import hep.dataforge.plots.data.PlottableData; import hep.dataforge.plots.data.PlottableData;
import hep.dataforge.tables.DataPoint; import hep.dataforge.tables.*;
import hep.dataforge.tables.ListTable;
import hep.dataforge.tables.MapPoint;
import hep.dataforge.tables.Table;
import hep.dataforge.tables.TableFormatBuilder;
import hep.dataforge.tables.XYAdapter;
import hep.dataforge.values.ValueType; import hep.dataforge.values.ValueType;
import inr.numass.storage.NMPoint; import inr.numass.storage.NMPoint;
import inr.numass.storage.NumassData; import inr.numass.storage.NumassData;
import java.io.OutputStream; import java.io.OutputStream;
import java.util.ArrayList; import java.util.*;
import java.util.Collection;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors; import java.util.stream.Collectors;
/** /**
@ -42,7 +32,7 @@ import java.util.stream.Collectors;
public class ShowEnergySpectrumAction extends OneToOneAction<NumassData, Table> { public class ShowEnergySpectrumAction extends OneToOneAction<NumassData, Table> {
@Override @Override
protected Table execute(Reportable log, String name, Laminate inputMeta, NumassData input) { protected Table execute(String name, Laminate inputMeta, NumassData input) {
int binning = inputMeta.getInt("binning", 20); int binning = inputMeta.getInt("binning", 20);
boolean normalize = inputMeta.getBoolean("normalize", true); boolean normalize = inputMeta.getBoolean("normalize", true);
List<NMPoint> points = input.getNMPoints(); List<NMPoint> points = input.getNMPoints();

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@ -19,7 +19,6 @@ import hep.dataforge.actions.OneToOneAction;
import hep.dataforge.description.TypedActionDef; import hep.dataforge.description.TypedActionDef;
import hep.dataforge.io.ColumnedDataWriter; import hep.dataforge.io.ColumnedDataWriter;
import hep.dataforge.io.PrintFunction; import hep.dataforge.io.PrintFunction;
import hep.dataforge.io.reports.Reportable;
import hep.dataforge.maths.GridCalculator; import hep.dataforge.maths.GridCalculator;
import hep.dataforge.maths.NamedMatrix; import hep.dataforge.maths.NamedMatrix;
import hep.dataforge.maths.integration.UnivariateIntegrator; import hep.dataforge.maths.integration.UnivariateIntegrator;
@ -56,7 +55,6 @@ import java.nio.charset.Charset;
import java.util.Arrays; import java.util.Arrays;
/** /**
*
* @author darksnake * @author darksnake
*/ */
@TypedActionDef(name = "showLoss", inputType = FitState.class, outputType = FitState.class, @TypedActionDef(name = "showLoss", inputType = FitState.class, outputType = FitState.class,
@ -115,7 +113,7 @@ public class ShowLossSpectrumAction extends OneToOneAction<FitState, FitState> {
} }
@Override @Override
protected FitState execute(Reportable log, String name, Laminate meta, FitState input) { protected FitState execute(String name, Laminate meta, FitState input) {
ParamSet pars = input.getParameters(); ParamSet pars = input.getParameters();
if (!pars.names().contains(names)) { if (!pars.names().contains(names)) {
LoggerFactory.getLogger(getClass()).error("Wrong input FitState. Must be loss spectrum fit."); LoggerFactory.getLogger(getClass()).error("Wrong input FitState. Must be loss spectrum fit.");
@ -127,7 +125,7 @@ public class ShowLossSpectrumAction extends OneToOneAction<FitState, FitState> {
XYPlotFrame frame = (XYPlotFrame) PlotsPlugin.buildFrom(getContext()) XYPlotFrame frame = (XYPlotFrame) PlotsPlugin.buildFrom(getContext())
.buildPlotFrame(getName(), name + ".loss", .buildPlotFrame(getName(), name + ".loss",
new MetaBuilder("plot") new MetaBuilder("plot")
.setValue("plotTitle", "Differential scattering crossection for " + name) .setValue("plotTitle", "Differential scattering crossection for " + name)
); );
switch (input.getModel().meta().getString("name", "")) { switch (input.getModel().meta().getString("name", "")) {
case "scatter-variable": case "scatter-variable":
@ -151,9 +149,9 @@ public class ShowLossSpectrumAction extends OneToOneAction<FitState, FitState> {
if (calculateRatio) { if (calculateRatio) {
threshold = meta.getDouble("ionThreshold", 17); threshold = meta.getDouble("ionThreshold", 17);
ionRatio = calcultateIonRatio(pars, threshold); ionRatio = calcultateIonRatio(pars, threshold);
log.report("The ionization ratio (using threshold {}) is {}", threshold, ionRatio); report(name, "The ionization ratio (using threshold {}) is {}", threshold, ionRatio);
ionRatioError = calultateIonRatioError(name, input, threshold); ionRatioError = calultateIonRatioError(name, input, threshold);
log.report("the ionization ration standard deviation (using threshold {}) is {}", threshold, ionRatioError); report(name, "the ionization ration standard deviation (using threshold {}) is {}", threshold, ionRatioError);
} }
if (meta.getBoolean("printResult", false)) { if (meta.getBoolean("printResult", false)) {

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@ -16,23 +16,21 @@
package inr.numass.actions; package inr.numass.actions;
import hep.dataforge.actions.OneToOneAction; import hep.dataforge.actions.OneToOneAction;
import hep.dataforge.context.Context;
import hep.dataforge.description.TypedActionDef; import hep.dataforge.description.TypedActionDef;
import hep.dataforge.exceptions.ContentException; import hep.dataforge.exceptions.ContentException;
import hep.dataforge.io.ColumnedDataWriter; import hep.dataforge.io.ColumnedDataWriter;
import hep.dataforge.io.reports.Reportable;
import hep.dataforge.meta.Laminate; import hep.dataforge.meta.Laminate;
import hep.dataforge.meta.Meta; import hep.dataforge.meta.Meta;
import inr.numass.storage.NMFile; import inr.numass.storage.NMFile;
import inr.numass.storage.RawNMPoint; import inr.numass.storage.RawNMPoint;
import org.apache.commons.math3.util.Pair;
import java.io.OutputStream; import java.io.OutputStream;
import java.util.LinkedHashMap; import java.util.LinkedHashMap;
import java.util.List; import java.util.List;
import java.util.Map; import java.util.Map;
import org.apache.commons.math3.util.Pair;
/** /**
*
* @author Darksnake * @author Darksnake
*/ */
@TypedActionDef(name = "slicing", inputType = NMFile.class, outputType = NMFile.class) @TypedActionDef(name = "slicing", inputType = NMFile.class, outputType = NMFile.class)
@ -46,7 +44,7 @@ public class SlicingAction extends OneToOneAction<NMFile, NMFile> {
} }
@Override @Override
protected NMFile execute(Reportable log, String name, Laminate meta, NMFile source) throws ContentException { protected NMFile execute(String name, Laminate meta, NMFile source) throws ContentException {
boolean normalize; boolean normalize;
Map<String, Pair<Integer, Integer>> slicingConfig; Map<String, Pair<Integer, Integer>> slicingConfig;
@ -66,7 +64,7 @@ public class SlicingAction extends OneToOneAction<NMFile, NMFile> {
if (slicingConfig == null) { if (slicingConfig == null) {
throw new RuntimeException("Slice configuration not defined"); throw new RuntimeException("Slice configuration not defined");
} }
log.report("File {} started", source.getName()); report(name, "File {} started", source.getName());
SlicedData sData = new SlicedData(source, slicingConfig, normalize); SlicedData sData = new SlicedData(source, slicingConfig, normalize);
@ -74,7 +72,7 @@ public class SlicingAction extends OneToOneAction<NMFile, NMFile> {
ColumnedDataWriter.writeDataSet(stream, sData, null); ColumnedDataWriter.writeDataSet(stream, sData, null);
log.report("File {} completed", source.getName()); report(name, "File {} completed", source.getName());
return source; return source;
} }

View File

@ -9,26 +9,25 @@ import hep.dataforge.actions.OneToOneAction;
import hep.dataforge.description.TypedActionDef; import hep.dataforge.description.TypedActionDef;
import hep.dataforge.io.ColumnedDataReader; import hep.dataforge.io.ColumnedDataReader;
import hep.dataforge.io.ColumnedDataWriter; import hep.dataforge.io.ColumnedDataWriter;
import hep.dataforge.io.reports.Reportable;
import hep.dataforge.meta.Laminate; import hep.dataforge.meta.Laminate;
import hep.dataforge.tables.DataPoint; import hep.dataforge.tables.DataPoint;
import hep.dataforge.tables.ListTable; import hep.dataforge.tables.ListTable;
import hep.dataforge.tables.MapPoint; import hep.dataforge.tables.MapPoint;
import hep.dataforge.tables.Table; import hep.dataforge.tables.Table;
import java.io.File; import java.io.File;
import java.io.IOException; import java.io.IOException;
import java.io.OutputStream; import java.io.OutputStream;
import java.util.Optional; import java.util.Optional;
/** /**
*
* @author Alexander Nozik <altavir@gmail.com> * @author Alexander Nozik <altavir@gmail.com>
*/ */
@TypedActionDef(name = "substractSpectrum", inputType = Table.class, outputType = Table.class, info = "Substract reference spectrum (background)") @TypedActionDef(name = "substractSpectrum", inputType = Table.class, outputType = Table.class, info = "Substract reference spectrum (background)")
public class SubstractSpectrumAction extends OneToOneAction<Table, Table> { public class SubstractSpectrumAction extends OneToOneAction<Table, Table> {
@Override @Override
protected Table execute(Reportable log, String name, Laminate inputMeta, Table input) { protected Table execute(String name, Laminate inputMeta, Table input) {
try { try {
String referencePath = inputMeta.getString("file", "empty.dat"); String referencePath = inputMeta.getString("file", "empty.dat");
File referenceFile = getContext().io().getFile(referencePath); File referenceFile = getContext().io().getFile(referencePath);
@ -44,7 +43,7 @@ public class SubstractSpectrumAction extends OneToOneAction<Table, Table> {
pointBuilder.putValue("CR", Math.max(0, point.getDouble("CR") - referencePoint.get().getDouble("CR"))); pointBuilder.putValue("CR", Math.max(0, point.getDouble("CR") - referencePoint.get().getDouble("CR")));
pointBuilder.putValue("CRerr", Math.sqrt(Math.pow(point.getDouble("CRerr"), 2d) + Math.pow(referencePoint.get().getDouble("CRerr"), 2d))); pointBuilder.putValue("CRerr", Math.sqrt(Math.pow(point.getDouble("CRerr"), 2d) + Math.pow(referencePoint.get().getDouble("CRerr"), 2d)));
} else { } else {
log.report("No reference point found for Uset = {}", point.getDouble("Uset")); report(name, "No reference point found for Uset = {}", point.getDouble("Uset"));
} }
builder.row(pointBuilder.build()); builder.row(pointBuilder.build());
}); });

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@ -18,17 +18,13 @@ package inr.numass.actions;
import hep.dataforge.actions.GroupBuilder; import hep.dataforge.actions.GroupBuilder;
import hep.dataforge.actions.ManyToOneAction; import hep.dataforge.actions.ManyToOneAction;
import hep.dataforge.data.DataNode; import hep.dataforge.data.DataNode;
import hep.dataforge.stat.fit.FitState;
import hep.dataforge.description.TypedActionDef; import hep.dataforge.description.TypedActionDef;
import hep.dataforge.io.ColumnedDataWriter; import hep.dataforge.io.ColumnedDataWriter;
import hep.dataforge.io.reports.Reportable;
import hep.dataforge.meta.Meta; import hep.dataforge.meta.Meta;
import hep.dataforge.tables.DataPoint; import hep.dataforge.stat.fit.FitState;
import hep.dataforge.tables.ListTable; import hep.dataforge.tables.*;
import hep.dataforge.tables.MapPoint;
import hep.dataforge.tables.Table;
import hep.dataforge.tables.TableFormat;
import hep.dataforge.values.Value; import hep.dataforge.values.Value;
import java.io.OutputStream; import java.io.OutputStream;
import java.util.Arrays; import java.util.Arrays;
import java.util.List; import java.util.List;
@ -57,7 +53,7 @@ public class SummaryAction extends ManyToOneAction<FitState, Table> {
} }
@Override @Override
protected Table execute(Reportable log, String nodeName, Map<String, FitState> input, Meta meta) { protected Table execute(String nodeName, Map<String, FitState> input, Meta meta) {
String[] parNames = meta.getStringArray("parnames"); String[] parNames = meta.getStringArray("parnames");
String[] names = new String[2 * parNames.length + 2]; String[] names = new String[2 * parNames.length + 2];
names[0] = "file"; names[0] = "file";
@ -107,11 +103,11 @@ public class SummaryAction extends ManyToOneAction<FitState, Table> {
} }
@Override @Override
protected void afterGroup(Reportable log, String groupName, Meta outputMeta, Table output) { protected void afterGroup(String groupName, Meta outputMeta, Table output) {
OutputStream stream = buildActionOutput(groupName); OutputStream stream = buildActionOutput(groupName);
ColumnedDataWriter.writeDataSet(stream, output, groupName); ColumnedDataWriter.writeDataSet(stream, output, groupName);
super.afterGroup(log, groupName, outputMeta, output); super.afterGroup(groupName, outputMeta, output);
} }
} }

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@ -18,6 +18,7 @@ package inr.numass.models;
import hep.dataforge.io.IOUtils; import hep.dataforge.io.IOUtils;
import hep.dataforge.tables.DataPoint; import hep.dataforge.tables.DataPoint;
import hep.dataforge.tables.PointSource; import hep.dataforge.tables.PointSource;
import java.io.File; import java.io.File;
import java.io.FileNotFoundException; import java.io.FileNotFoundException;
import java.util.ArrayList; import java.util.ArrayList;
@ -43,10 +44,10 @@ public class FSS{
norm += p; norm += p;
} }
if(ps.isEmpty()) { if(ps.isEmpty()) {
throw new Error("Error reading FSS FILE. No points."); throw new RuntimeException("Error reading FSS FILE. No points.");
} }
} catch (FileNotFoundException ex) { } catch (FileNotFoundException ex) {
throw new Error("Error reading FSS FILE. File not found."); throw new RuntimeException("Error reading FSS FILE. File not found.");
} }
} }

View File

@ -15,22 +15,24 @@
*/ */
package inr.numass.models; package inr.numass.models;
import hep.dataforge.stat.parametric.FunctionCaching;
import hep.dataforge.maths.integration.GaussRuleIntegrator; import hep.dataforge.maths.integration.GaussRuleIntegrator;
import hep.dataforge.maths.integration.UnivariateIntegrator; import hep.dataforge.maths.integration.UnivariateIntegrator;
import hep.dataforge.plots.XYPlotFrame; import hep.dataforge.plots.XYPlotFrame;
import hep.dataforge.plots.data.PlottableXYFunction; import hep.dataforge.plots.data.PlottableXYFunction;
import hep.dataforge.stat.parametric.FunctionCaching;
import hep.dataforge.values.NamedValueSet; import hep.dataforge.values.NamedValueSet;
import static java.lang.Math.exp;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.apache.commons.math3.analysis.BivariateFunction; import org.apache.commons.math3.analysis.BivariateFunction;
import org.apache.commons.math3.analysis.UnivariateFunction; import org.apache.commons.math3.analysis.UnivariateFunction;
import org.apache.commons.math3.exception.OutOfRangeException; import org.apache.commons.math3.exception.OutOfRangeException;
import org.slf4j.LoggerFactory; import org.slf4j.LoggerFactory;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import static java.lang.Math.exp;
/** /**
* Вычисление произвольного порядка функции рассеяния. Не учитывается * Вычисление произвольного порядка функции рассеяния. Не учитывается
* зависимость сечения от энергии электрона * зависимость сечения от энергии электрона
@ -46,7 +48,12 @@ public class LossCalculator {
private static final LossCalculator instance = new LossCalculator(); private static final LossCalculator instance = new LossCalculator();
private static final UnivariateIntegrator integrator = new GaussRuleIntegrator(100); private static final UnivariateIntegrator integrator = new GaussRuleIntegrator(100);
private final Map<Integer, UnivariateFunction> cache = new HashMap<>();
private LossCalculator() {
cache.put(1, getSingleScatterFunction());
// cache.put(2, getDoubleScatterFunction());
}
public static UnivariateFunction getSingleScatterFunction() { public static UnivariateFunction getSingleScatterFunction() {
final double A1 = 0.204; final double A1 = 0.204;
@ -196,13 +203,6 @@ public class LossCalculator {
} }
private final Map<Integer, UnivariateFunction> cache = new HashMap<>();
private LossCalculator() {
cache.put(1, getSingleScatterFunction());
// cache.put(2, getDoubleScatterFunction());
}
public List<Double> getGunLossProbabilities(double X) { public List<Double> getGunLossProbabilities(double X) {
List<Double> res = new ArrayList<>(); List<Double> res = new ArrayList<>();
double prob; double prob;
@ -238,17 +238,19 @@ public class LossCalculator {
* @param order * @param order
* @return * @return
*/ */
private synchronized UnivariateFunction getLoss(int order) { private UnivariateFunction getLoss(int order) {
if (order <= 0) { if (order <= 0) {
throw new IllegalArgumentException(); throw new IllegalArgumentException();
} }
if (cache.containsKey(order)) { if (cache.containsKey(order)) {
return cache.get(order); return cache.get(order);
} else { } else {
LoggerFactory.getLogger(getClass()) synchronized (this) {
.debug("Scatter cache of order {} not found. Updating", order); LoggerFactory.getLogger(getClass())
cache.put(order, getNextLoss(getMargin(order), getLoss(order - 1))); .debug("Scatter cache of order {} not found. Updating", order);
return cache.get(order); cache.putIfAbsent(order, getNextLoss(getMargin(order), getLoss(order - 1)));
return cache.get(order);
}
} }
} }
@ -325,7 +327,7 @@ public class LossCalculator {
} }
} }
public synchronized double getLossValue(int order, double Ei, double Ef) { public double getLossValue(int order, double Ei, double Ef) {
if (Ei - Ef < 5d) { if (Ei - Ef < 5d) {
return 0; return 0;
} else if (Ei - Ef >= getMargin(order)) { } else if (Ei - Ef >= getMargin(order)) {

View File

@ -10,7 +10,7 @@ import java.io.File;
public class GrindCaller { public class GrindCaller {
public static void main(String[] args) throws Exception { public static void main(String[] args) throws Exception {
JavaGrindLauncher.buildWorkspace(new File("D:\\Work\\Numass\\sterile2016\\workspace.groovy")).runTask("numass.prepare", "fill_2").computeAll(); JavaGrindLauncher.buildWorkspace(new File("D:\\Work\\Numass\\sterile2016\\workspace.groovy")).runTask("numass.fitsum", "fill_2").computeAll();
} }
} }

View File

@ -5,12 +5,14 @@
*/ */
package inr.numass.tasks; package inr.numass.tasks;
import hep.dataforge.actions.Action;
import hep.dataforge.actions.ManyToOneAction; import hep.dataforge.actions.ManyToOneAction;
import hep.dataforge.computation.WorkManager; import hep.dataforge.computation.WorkManager;
import hep.dataforge.context.Context; import hep.dataforge.context.Context;
import hep.dataforge.data.DataNode; import hep.dataforge.data.DataNode;
import hep.dataforge.data.DataSet;
import hep.dataforge.description.TypedActionDef; import hep.dataforge.description.TypedActionDef;
import hep.dataforge.io.reports.Reportable; import hep.dataforge.io.ColumnedDataWriter;
import hep.dataforge.meta.Meta; import hep.dataforge.meta.Meta;
import hep.dataforge.stat.fit.FitState; import hep.dataforge.stat.fit.FitState;
import hep.dataforge.stat.fit.ParamSet; import hep.dataforge.stat.fit.ParamSet;
@ -20,23 +22,27 @@ import hep.dataforge.workspace.GenericTask;
import hep.dataforge.workspace.TaskModel; import hep.dataforge.workspace.TaskModel;
import hep.dataforge.workspace.TaskState; import hep.dataforge.workspace.TaskState;
import java.io.OutputStream;
import java.util.Map; import java.util.Map;
/** /**
*
* @author Alexander Nozik * @author Alexander Nozik
*/ */
public class NumassFitScanSummaryTask extends GenericTask { public class NumassFitScanSummaryTask extends GenericTask {
@Override @Override
protected void transform(WorkManager.Callback callback, Context context, TaskState state, Meta config) { protected void transform(WorkManager.Callback callback, Context context, TaskState state, Meta config) {
state.finish(new FitSummaryAction().withContext(context).run((DataNode<FitState>) state.getData(), config)); DataSet.Builder<Table> builder = DataSet.builder(Table.class);
Action<FitState, Table> action = new FitSummaryAction().withContext(context);
state.getData().getNode("fitscan").get().nodeStream().forEach(node ->
builder.putData(node.getName(), action.run((DataNode<FitState>) node, config).getData()));
state.finish(builder.build());
} }
@Override @Override
protected TaskModel transformModel(TaskModel model) { protected TaskModel transformModel(TaskModel model) {
//Transmit meta as-is //Transmit meta as-is
model.dependsOn("numass.fitscan", model.meta()); model.dependsOn("numass.fitscan", model.meta(), "fitscan");
return model; return model;
} }
@ -45,11 +51,11 @@ public class NumassFitScanSummaryTask extends GenericTask {
return "numass.fitsum"; return "numass.fitsum";
} }
@TypedActionDef(name = "fitSummary", inputType = FitState.class, outputType = Table.class) @TypedActionDef(name = "sterileSummary", inputType = FitState.class, outputType = Table.class)
private class FitSummaryAction extends ManyToOneAction<FitState, Table> { private class FitSummaryAction extends ManyToOneAction<FitState, Table> {
@Override @Override
protected Table execute(Reportable log, String nodeName, Map<String, FitState> input, Meta meta) { protected Table execute(String nodeName, Map<String, FitState> input, Meta meta) {
ListTable.Builder builder = new ListTable.Builder("msterile2", "U2", "U2err", "E0", "trap"); ListTable.Builder builder = new ListTable.Builder("msterile2", "U2", "U2err", "E0", "trap");
input.forEach((key, fitRes) -> { input.forEach((key, fitRes) -> {
ParamSet pars = fitRes.getParameters(); ParamSet pars = fitRes.getParameters();
@ -59,7 +65,14 @@ public class NumassFitScanSummaryTask extends GenericTask {
pars.getValue("E0"), pars.getValue("E0"),
pars.getValue("trap")); pars.getValue("trap"));
}); });
return builder.build(); Table res = builder.build().sort("msterile2", true);
OutputStream stream = buildActionOutput(nodeName);
ColumnedDataWriter.writeDataSet(stream, res, "Sterile neutrino mass scan summary");
return res;
} }
} }

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@ -9,11 +9,9 @@ import hep.dataforge.actions.Action;
import hep.dataforge.computation.WorkManager; import hep.dataforge.computation.WorkManager;
import hep.dataforge.context.Context; import hep.dataforge.context.Context;
import hep.dataforge.data.DataNode; import hep.dataforge.data.DataNode;
import hep.dataforge.data.DataSet;
import hep.dataforge.data.DataTree; import hep.dataforge.data.DataTree;
import hep.dataforge.meta.Meta; import hep.dataforge.meta.Meta;
import hep.dataforge.meta.MetaBuilder; import hep.dataforge.meta.MetaBuilder;
import hep.dataforge.meta.MetaUtils;
import hep.dataforge.stat.fit.FitAction; import hep.dataforge.stat.fit.FitAction;
import hep.dataforge.stat.fit.FitState; import hep.dataforge.stat.fit.FitState;
import hep.dataforge.tables.Table; import hep.dataforge.tables.Table;
@ -30,10 +28,10 @@ public class NumassFitScanTask extends GenericTask {
@Override @Override
protected void transform(WorkManager.Callback callback, Context context, TaskState state, Meta config) { protected void transform(WorkManager.Callback callback, Context context, TaskState state, Meta config) {
String scanParameter = config.getString("scanPar", "msterile2"); String scanParameter = config.getString("scanPar", "msterile2");
Value scanValues = config.getValue("scanValues", Value.of(new String[]{"0.5, 1, 1.5, 2, 2.5, 3"})); Value scanValues = config.getValue("scanValues", Value.of("[2.5e5, 1e6, 2.25e6, 4e6, 6.25e6, 9e6]"));
Action action = new FitAction().withContext(context).withParentProcess(callback.workName()); Action<Table, FitState> action = new FitAction().withContext(context).withParentProcess(callback.workName());
DataTree.Builder resultBuilder = DataTree.builder(FitState.class); DataTree.Builder<FitState> resultBuilder = DataTree.builder(FitState.class);
DataNode<?> sourceNode = state.getData(); DataNode<?> sourceNode = state.getData().getNode("prepare").get();
if (config.hasNode("merge")) { if (config.hasNode("merge")) {
//use merged data and ignore raw data //use merged data and ignore raw data
@ -41,20 +39,20 @@ public class NumassFitScanTask extends GenericTask {
} }
//do fit //do fit
Meta fitConfig = config.getMeta("fit");
sourceNode.forEachDataWithType(Table.class, data -> { sourceNode.forEachDataWithType(Table.class, data -> {
DataNode res = scanValues.listValue().stream().parallel().map(val -> { for (int i = 0; i < scanValues.listValue().size(); i++) {
MetaBuilder overrideMeta = new MetaBuilder("override"); Value val = scanValues.listValue().get(i);
MetaBuilder overrideMeta = new MetaBuilder(fitConfig);
overrideMeta.setValue("@resultName", String.format("%s[%s=%s]", data.getName(), scanParameter, val.stringValue())); overrideMeta.setValue("@resultName", String.format("%s[%s=%s]", data.getName(), scanParameter, val.stringValue()));
MetaBuilder paramMeta = MetaUtils.findNodeByValue(config, "params.param", data.getName(), scanParameter).getBuilder()
.setValue("value", val); overrideMeta.getNodes("params.param").stream()
overrideMeta.setNode("params.param", paramMeta); .filter(par -> par.getString("name") == scanParameter).forEach(par -> par.setValue("value", val));
return action.run(DataNode.of(data.getName(), data, overrideMeta), config); // Data<Table> newData = new Data<Table>(data.getGoal(),data.dataType(),overrideMeta);
}).collect( DataNode node = action.run(DataNode.of("fit_" + i, data, Meta.empty()), overrideMeta);
() -> DataSet.builder(FitState.class), resultBuilder.putData(data.getName() + ".fit_" + i, node.getData());
(DataSet.Builder builder, DataNode node) -> builder.putData(node.getName(), node.getData()), }
(DataSet.Builder builder1, DataSet.Builder builder2) -> builder1.putAll(builder2.getDataMap())
).build();
resultBuilder.putData(data.getName(), res.getData());
}); });
@ -64,7 +62,12 @@ public class NumassFitScanTask extends GenericTask {
@Override @Override
protected TaskModel transformModel(TaskModel model) { protected TaskModel transformModel(TaskModel model) {
//Transmit meta as-is //Transmit meta as-is
model.dependsOn("numass.prepare", model.meta()); MetaBuilder metaBuilder = new MetaBuilder(model.meta()).removeNode("fit");
if (model.meta().hasNode("filter")) {
model.dependsOn("numass.filter", metaBuilder.build(), "prepare");
} else {
model.dependsOn("numass.prepare", metaBuilder.build(), "prepare");
}
return model; return model;
} }

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@ -49,16 +49,16 @@ public class NumassPrepareTask extends GenericTask {
@SuppressWarnings("unchecked") @SuppressWarnings("unchecked")
protected void transform(WorkManager.Callback callback, Context context, TaskState state, Meta config) { protected void transform(WorkManager.Callback callback, Context context, TaskState state, Meta config) {
//acquiring initial data. Data node could not be empty //acquiring initial data. Data node could not be empty
Meta dataMeta = Template.compileTemplate(config.getNode("data"), config); Meta dataMeta = config.getNode("data");
DataNode<NumassData> data = runAction(new ReadNumassStorageAction(), callback, context, DataNode.empty(), dataMeta); DataNode<NumassData> data = runAction(new ReadNumassStorageAction(), callback, context, DataNode.empty(), dataMeta);
state.setData("data", data); state.setData("data", data);
//preparing table data //preparing table data
Meta prepareMeta = Template.compileTemplate(config.getNode("prepare"), config); Meta prepareMeta = config.getNode("prepare");
DataNode<Table> tables = runAction(new PrepareDataAction(), callback, context, data, prepareMeta); DataNode<Table> tables = runAction(new PrepareDataAction(), callback, context, data, prepareMeta);
state.setData("prepare", tables); state.setData("prepare", tables);
if (config.hasNode("monitor")) { if (config.hasNode("monitor")) {
Meta monitorMeta = Template.compileTemplate(config.getNode("monitor"), config); Meta monitorMeta = config.getNode("monitor");
tables = runAction(new MonitorCorrectAction(), callback, context, tables, monitorMeta); tables = runAction(new MonitorCorrectAction(), callback, context, tables, monitorMeta);
state.setData("monitor", tables); state.setData("monitor", tables);
} }
@ -79,7 +79,7 @@ public class NumassPrepareTask extends GenericTask {
} }
if (config.hasNode("transform")) { if (config.hasNode("transform")) {
Meta filterMeta = Template.compileTemplate(config.getNode("transform"), config); Meta filterMeta = config.getNode("transform");
tables = runAction(new TransformTableAction(), callback, context, tables, filterMeta); tables = runAction(new TransformTableAction(), callback, context, tables, filterMeta);
} }

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@ -0,0 +1,49 @@
package inr.numass.tasks;
import hep.dataforge.actions.OneToOneAction;
import hep.dataforge.computation.WorkManager;
import hep.dataforge.context.Context;
import hep.dataforge.data.DataNode;
import hep.dataforge.description.TypedActionDef;
import hep.dataforge.meta.Laminate;
import hep.dataforge.meta.Meta;
import hep.dataforge.meta.MetaBuilder;
import hep.dataforge.tables.Table;
import hep.dataforge.workspace.GenericTask;
import hep.dataforge.workspace.TaskModel;
import hep.dataforge.workspace.TaskState;
/**
* Created by darksnake on 13-Aug-16.
*/
public class NumassTableFilterTask extends GenericTask<Table> {
@Override
public String getName() {
return "numass.filter";
}
@Override
protected void transform(WorkManager.Callback callback, Context context, TaskState state, Meta config) {
DataNode<Table> sourceNode = (DataNode<Table>) state.getData().getNode("prepare").get();
state.finish(new FilterTableAction().withContext(context).run(sourceNode, config));
}
@Override
protected TaskModel transformModel(TaskModel model) {
super.transformModel(model);
MetaBuilder metaBuilder = new MetaBuilder(model.meta()).removeNode("filter");
model.dependsOn("numass.prepare", metaBuilder.build(), "prepare");
return model;
}
@TypedActionDef(name = "filterTable", inputType = Table.class, outputType = Table.class)
private class FilterTableAction extends OneToOneAction<Table, Table> {
@Override
protected Table execute(String name, Laminate inputMeta, Table input) {
double uLo = inputMeta.getDouble("filter.from", 0);
double uHi = inputMeta.getDouble("filter.to", Double.POSITIVE_INFINITY);
return input.filter("Uset", uLo, uHi);
}
}
}