minor update

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

@@ -0,0 +1,75 @@
+/*
+ * 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.scripts.timeanalysis
+
+import hep.dataforge.kodex.buildContext
+import hep.dataforge.kodex.buildMeta
+import hep.dataforge.maths.histogram.SimpleHistogram
+import inr.numass.NumassPlugin
+import inr.numass.data.NumassDataUtils
+import inr.numass.data.analyzers.TimeAnalyzer
+import inr.numass.data.api.NumassSet
+import inr.numass.data.storage.NumassStorageFactory
+import kotlin.streams.asStream
+
+fun main(args: Array<String>) {
+    val context = buildContext("NUMASS", NumassPlugin::class.java) {
+        rootDir = "D:\\Work\\Numass\\sterile2018_04"
+        dataDir = "D:\\Work\\Numass\\data\\2018_04"
+    }
+
+    val storage = NumassStorageFactory.buildLocal(context, "Fill_4", true, false);
+
+    val meta = buildMeta {
+        "t0" to 3000
+        "chunkSize" to 3000
+        "mean" to TimeAnalyzer.AveragingMethod.ARITHMETIC
+        //"separateParallelBlocks" to true
+        "window" to {
+            "lo" to 0
+            "up" to 4000
+        }
+        //"plot.showErrors" to false
+    }
+
+    //def sets = ((2..14) + (22..31)).collect { "set_$it" }
+    val sets = (2..12).map { "set_$it" }
+    //def sets = (16..31).collect { "set_$it" }
+    //def sets = (20..28).collect { "set_$it" }
+
+    val loaders = sets.map { set ->
+        storage.provide("loader::$set", NumassSet::class.java).orElse(null)
+    }.filter { it != null }
+
+    val joined = NumassDataUtils.join("sum", loaders)
+
+    val hv = 14000.0
+
+    val point = joined.first { it.voltage == hv }
+
+    val histogram = SimpleHistogram(arrayOf(0.0, 0.0), arrayOf(20.0, 100.0))
+    histogram.fill(
+            TimeAnalyzer().getEventsWithDelay(point, meta)
+                    .map { arrayOf(it.first.amplitude.toDouble(), it.second.toDouble()/1e3) }
+                    .asStream()
+    )
+
+    histogram.binStream().forEach {
+        println("${it.getLowerBound(0)}\t${it.getLowerBound(1)}\t${it.count}")
+    }
+
+}

numass-server/src/main/java/inr/numass/server/NumassRun.java

@@ -28,12 +28,10 @@ import hep.dataforge.storage.commons.LoaderFactory;
 import hep.dataforge.values.Value;
 import hep.dataforge.values.ValueFactory;
 import inr.numass.data.storage.NumassStorage;
-import org.jetbrains.annotations.NotNull;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
 import java.time.Instant;
-import java.util.concurrent.CompletableFuture;
 import java.util.stream.Stream;
 
 import static hep.dataforge.messages.MessagesKt.errorResponseBase;
@@ -198,9 +196,4 @@ public class NumassRun implements Metoid, Responder {
         return states;
     }
 
-    @NotNull
-    @Override
-    public CompletableFuture<Envelope> respondInFuture(@NotNull Envelope message) {
-        return CompletableFuture.supplyAsync(() -> respond(message));
-    }
 }