From 463812d2842bc02b2edf7698bd420847c9cdd5f9 Mon Sep 17 00:00:00 2001
From: rschoene <rene.schoene@tu-dresden.de>
Date: Thu, 24 Oct 2019 19:01:16 +0200
Subject: [PATCH] Begin with test for learner.
---
.../learner_backup/LearnerTest.java | 103 +++
.../src/test/resources/activity_data.csv | 369 +++++++++++
.../src/test/resources/log4j2-test.xml | 30 +
.../src/test/resources/preference_data.csv | 600 ++++++++++++++++++
4 files changed, 1102 insertions(+)
create mode 100644 feedbackloop.learner_backup/src/test/java/de/tudresden/inf/st/eraser/feedbackloop/learner_backup/LearnerTest.java
create mode 100644 feedbackloop.learner_backup/src/test/resources/activity_data.csv
create mode 100644 feedbackloop.learner_backup/src/test/resources/log4j2-test.xml
create mode 100644 feedbackloop.learner_backup/src/test/resources/preference_data.csv
diff --git a/feedbackloop.learner_backup/src/test/java/de/tudresden/inf/st/eraser/feedbackloop/learner_backup/LearnerTest.java b/feedbackloop.learner_backup/src/test/java/de/tudresden/inf/st/eraser/feedbackloop/learner_backup/LearnerTest.java
new file mode 100644
index 00000000..9396fd1a
--- /dev/null
+++ b/feedbackloop.learner_backup/src/test/java/de/tudresden/inf/st/eraser/feedbackloop/learner_backup/LearnerTest.java
@@ -0,0 +1,103 @@
+package de.tudresden.inf.st.eraser.feedbackloop.learner_backup;
+
+import com.opencsv.CSVReader;
+import de.tudresden.inf.st.eraser.jastadd.model.*;
+import de.tudresden.inf.st.eraser.util.ParserUtils;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.Test;
+
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.InputStreamReader;
+import java.io.Reader;
+import java.net.URL;
+import java.util.Collections;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.fail;
+
+/**
+ * Testing the learner.
+ *
+ * @author rschoene - Initial contribution
+ */
+public class LearnerTest {
+
+ private static final URL ACTIVITY_DATA = LearnerTest.class.getResource("/activity_data.csv");
+ private MachineLearningEncoder encoder;
+ private MachineLearningDecoder decoder;
+ private String[] itemNames = new String[]{"m_accel_x", "m_accel_y", "m_accel_z", "m_rotation_x", "m_rotation_y",
+ "m_rotation_z", "w_accel_x", "w_accel_y", "w_accel_z", "w_rotation_x", "w_rotation_y", "w_rotation_z"};
+ private String[] activityNames = new String[]{"working",
+ "walking",
+ "dancing",
+ "lying",
+ "getting up",
+ "reading"};
+ private Root root;
+
+ private Root createKnowledgeBase() {
+ Root result = Root.createEmptyRoot();
+ Group group = new Group();
+ result.getSmartHomeEntityModel().addGroup(group);
+ // init items
+ for (String itemName : itemNames) {
+ NumberItem item = new NumberItem();
+ item.setID(itemName);
+ ParserUtils.createMqttTopic(item, itemName, result);
+ group.addItem(item);
+ }
+ // init activities
+ for (int i = 0; i < activityNames.length; i++) {
+ result.getMachineLearningRoot().addActivity(new Activity(i, activityNames[i]));
+ }
+ return result;
+ }
+
+ @Before
+ public void initLearner() {
+ root = createKnowledgeBase();
+ MachineLearningHandlerFactoryImpl factory = new MachineLearningHandlerFactoryImpl();
+ factory.setKnowledgeBaseRoot(root);
+ factory.initializeFor(MachineLearningHandlerFactory.MachineLearningHandlerFactoryTarget.ACTIVITY_RECOGNITION,
+ ACTIVITY_DATA);
+ encoder = factory.createEncoder();
+ decoder = factory.createDecoder();
+ // maybe use factory.createModel() here instead
+ }
+
+ @Test
+ public void testActivities() {
+ // go through same csv as for training and test some of the values
+ try(InputStream is = ACTIVITY_DATA.openStream();
+ Reader reader = new InputStreamReader(is);
+ CSVReader csvreader = new CSVReader(reader)) {
+ int index = 0;
+ for (String[] line : csvreader) {
+ if (++index % 10 == 0) {
+ // only check every 10th line, push an update for every 12 input columns
+ for (int i = 0; i < itemNames.length; i++) {
+ int finalI = i;
+ Item item = root.getSmartHomeEntityModel().resolveItem(itemNames[i])
+ .orElseThrow(() -> new AssertionError("Item " + itemNames[finalI] + " not found"));
+ item.setStateFromString(line[i]);
+ encoder.newData(Collections.singletonList(item));
+ }
+ MachineLearningResult result = decoder.classify();
+ // check if only one item is to be updated
+ assertEquals("Not one item update", 1, result.getNumItemUpdate());
+ ItemUpdate update = result.getItemUpdate(0);
+ // check that the activity item is to be updated
+ assertEquals("activity not updated", root.getSmartHomeEntityModel().getActivityItem(), update.getItem());
+ update.apply();
+ // check if the correct activity was set
+ assertEquals("wrong activity", line[12], root.currentActivityName());
+ }
+ }
+ } catch (IOException e) {
+ e.printStackTrace();
+ fail();
+ }
+ }
+}
diff --git a/feedbackloop.learner_backup/src/test/resources/activity_data.csv b/feedbackloop.learner_backup/src/test/resources/activity_data.csv
new file mode 100644
index 00000000..c32f9706
--- /dev/null
+++ b/feedbackloop.learner_backup/src/test/resources/activity_data.csv
@@ -0,0 +1,369 @@
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diff --git a/feedbackloop.learner_backup/src/test/resources/log4j2-test.xml b/feedbackloop.learner_backup/src/test/resources/log4j2-test.xml
new file mode 100644
index 00000000..8e963f01
--- /dev/null
+++ b/feedbackloop.learner_backup/src/test/resources/log4j2-test.xml
@@ -0,0 +1,30 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<Configuration>
+ <Appenders>
+ <Console name="Console">
+ <PatternLayout pattern="%highlight{%d{HH:mm:ss.SSS} %-5level} %c{1.} - %msg%n"/>
+ </Console>
+ <RollingFile name="RollingFile" fileName="logs/eraser-test.log"
+ filePattern="logs/eraser-test-%i.log">
+ <PatternLayout pattern="%d{HH:mm:ss.SSS} %-5level %logger{36} - %msg%n"/>
+ <Policies>
+ <OnStartupTriggeringPolicy/>
+ </Policies>
+ <DefaultRolloverStrategy max="20"/>
+ </RollingFile>
+ </Appenders>
+ <Loggers>
+ <Root level="debug">
+ <AppenderRef ref="Console"/>
+ <AppenderRef ref="RollingFile"/>
+ </Root>
+ <Logger name="de.tudresden.inf.st.eraser.openhab2.mqtt" level="DEBUG" additivity="false">
+ <Appender-ref ref="Console"/>
+ </Logger>
+ <!-- Stubs reduce noise-->
+ <Logger name="de.tudresden.inf.st.eraser.jastadd.model.InfluxAdapterStub" level="WARN" additivity="false">
+ </Logger>
+ <Logger name="de.tudresden.inf.st.eraser.jastadd.model.MQTTSenderStub" level="WARN" additivity="false">
+ </Logger>
+ </Loggers>
+</Configuration>
diff --git a/feedbackloop.learner_backup/src/test/resources/preference_data.csv b/feedbackloop.learner_backup/src/test/resources/preference_data.csv
new file mode 100644
index 00000000..264467a9
--- /dev/null
+++ b/feedbackloop.learner_backup/src/test/resources/preference_data.csv
@@ -0,0 +1,600 @@
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--
GitLab