Java tutorial
/* Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you 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 org.apache.edgent.samples.console; import java.io.PrintWriter; import java.util.HashSet; import java.util.List; import java.util.Map.Entry; import java.util.Random; import java.util.Set; import java.util.SortedMap; import java.util.concurrent.TimeUnit; import org.apache.edgent.console.server.HttpServer; import org.apache.edgent.metrics.Metrics; import org.apache.edgent.providers.development.DevelopmentProvider; import org.apache.edgent.providers.direct.DirectProvider; import org.apache.edgent.topology.TStream; import org.apache.edgent.topology.Topology; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import com.codahale.metrics.Counter; import com.codahale.metrics.MetricRegistry; import com.google.gson.JsonElement; import com.google.gson.JsonObject; /** * * Demonstrates some of the features of the console. * <P> * The topology graph in the console currently allows for 3 distinct "views" of the topology: * <ul> * <li>Static flow</li> * <li>Tuple count</li> * <li>Oplet kind</li> * </ul> * <P> * Selecting any of these, with the exception of "Static flow", adds a legend to the topology which * allows the user to identify elements of the view. * </P> * <P> The "Static flow" view shows the toology in an unchanging state - that is if tuple counts are available the * lines (connections) representing the edges of the topology are not updated, nor are the circles (representing the vertices) dimensions updated. * The purpose of this view is to give the user an indication of the topology map of the application. * </P> * <P> * The "Oplet kind" view colors the oplets or vertices displayed in the topology graph (the circles) by their * corresponding Oplet kind. * </P> * <P> * If "Tuple count" is selected the legend reflects ranges of tuple counts measured since the application was started. * </P> * <P> * Note: The DevelopmentProvider class overrides the submit method of the DirectProvider class * and adds a Metrics counter to the submitted topology. * If a counter is not added to the topology (or to an individual oplet), the "Tuple count" view selection is not enabled. * </P> * * <P> * In the lower half of the edgent console is a chart displaying metrics, if available. In this example metrics * are available since the DevelopmentProvider class is being used. Note that the DevelopmentProvider class adds a Metrics counter * to all oplets in the topology, with the exception of certain oplet types. For further information * about how metrics are added to a topology, see the details in the org.apache.edgent.metrics.Metrics class and the counter method. * <br> * A counter can be added to an individual oplet, and not the entire topology. For an example of this * see the org.apache.edgent.samples.utils.metrics.DevelopmentMetricsSample. * </P> * <P> * The org.apache.edgent.metric.Metrics class also provides a rate meter. Rate meters must be added to individual oplets and are not currently * available for the entire topology. * </P> * <P> * The metrics chart displayed is a bar chart by default. If a rate meter is added to an oplet it will be displayed * as a line chart over the last 20 measures (the interval to refresh the line chart is every 2 1/2 seconds). * If a counter is added to a single oplet, the tuple count can also be displayed as a line chart. * </P> * * <P> * ConsoleWaterDetector scenario: * A county agency is responsible for ensuring the safety of residents well water. Each well they monitor has four different * sensor types: * <ul> * <li>Temperature</li> * <li>Acidity</li> * <li>Ecoli</li> * <li>Lead</li> * </ul> * <P> * This application topology monitors 3 wells: * <ul> * <li> * Each well that is to be measured is added to the topology. The topology polls each sensor for each well as a unit. * All the sensor readings for a single well are 'unioned' into a single TStream<JsonObject>. * </li> * <li> * Now, each well has a single stream with each of the sensors readings as a property with a name and value in the JsonObject. * Each well's sensors are then checked to see if their values are in an acceptable range. The filter oplet is used to check each sensor's range. * If any of the sensor's readings are out of the acceptable range the tuple is passed along. Those that are within an acceptable range * are discarded. * </li> * <li> * If the tuples in the stream for the well are out of range they are then passed to the split oplet. The split oplet breaks the single * TStream<JsonObject> into individual streams for each sensor type for the well. * </li> * <li> * Well1 and Well3's temperature sensor streams have rate meters placed on them. This will be used to compare the rate of tuples flowing through these * streams that are a result of out of range readings for Well1 and Well3 respectively. * </li> * <li> * Each stream that is produced from the split prints out the value for the sensor reading that it is monitoring along with the wellId. * </li> * </ul> * */ public class ConsoleWaterDetector { /** * Hypothetical values for all the sensor types: temp, acidity, ecoli and Lead */ static int TEMP_ALERT_MIN = 49; static int TEMP_ALERT_MAX = 81; static int TEMP_RANDOM_LOW = 40; static int TEMP_RANDOM_HIGH = 90; static String TEMP_ALERT_TAG = "TEMP out of range"; static int ACIDITY_ALERT_MIN = 4; static int ACIDITY_ALERT_MAX = 9; static int ACIDITY_RANDOM_LOW = 1; static int ACIDITY_RANDOM_HIGH = 11; static String ACIDITY_ALERT_TAG = "ACIDITY out of range"; static int ECOLI_ALERT = 1; static int ECOLI_RANDOM_LOW = 0; static int ECOLI_RANDOM_HIGH = 3; static String ECOLI_ALERT_TAG = "ECOLI out of range"; static int LEAD_ALERT_MAX = 10; static int LEAD_RANDOM_LOW = 0; static int LEAD_RANDOM_HIGH = 15; static String LEAD_ALERT_TAG = "LEAD out of range"; private static final Logger logger = LoggerFactory.getLogger(ConsoleWaterDetector.class); public static void main(String[] args) throws Exception { DirectProvider dp = new DevelopmentProvider(); System.out.println(dp.getServices().getService(HttpServer.class).getConsoleUrl()); try { PrintWriter writer = new PrintWriter("consoleUrl.txt", "UTF-8"); writer.println(dp.getServices().getService(HttpServer.class).getConsoleUrl()); writer.close(); } catch (Exception e) { logger.error("Exception caught", e); } Topology wellTopology = dp.newTopology("ConsoleWaterDetector"); TStream<JsonObject> well1 = waterDetector(wellTopology, 1); TStream<JsonObject> well2 = waterDetector(wellTopology, 2); TStream<JsonObject> well3 = waterDetector(wellTopology, 3); TStream<JsonObject> filteredReadings1 = alertFilter(well1, 1, false); TStream<JsonObject> filteredReadings2 = alertFilter(well2, 2, true); TStream<JsonObject> filteredReadings3 = alertFilter(well3, 3, false); List<TStream<JsonObject>> individualAlerts1 = splitAlert(filteredReadings1, 1); // Put a rate meter on well1's temperature sensor output Metrics.rateMeter(individualAlerts1.get(0)); individualAlerts1.get(0).tag(TEMP_ALERT_TAG, "well1") .sink(tuple -> System.out.println("\n" + formatAlertOutput(tuple, "1", "temp"))); individualAlerts1.get(1).tag(ACIDITY_ALERT_TAG, "well1") .sink(tuple -> System.out.println(formatAlertOutput(tuple, "1", "acidity"))); individualAlerts1.get(2).tag(ECOLI_ALERT_TAG, "well1") .sink(tuple -> System.out.println(formatAlertOutput(tuple, "1", "ecoli"))); individualAlerts1.get(3).tag(LEAD_ALERT_TAG, "well1") .sink(tuple -> System.out.println(formatAlertOutput(tuple, "1", "lead"))); List<TStream<JsonObject>> individualAlerts2 = splitAlert(filteredReadings2, 2); TStream<JsonObject> alert0Well2 = individualAlerts2.get(0); alert0Well2 = Metrics.counter(alert0Well2); alert0Well2.tag("well2", "temp"); TStream<JsonObject> alert1Well2 = individualAlerts2.get(1); alert1Well2 = Metrics.counter(alert1Well2); alert1Well2.tag("well2", "acidity"); TStream<JsonObject> alert2Well2 = individualAlerts2.get(2); alert2Well2 = Metrics.counter(alert2Well2); alert2Well2.tag("well2", "ecoli"); TStream<JsonObject> alert3Well2 = individualAlerts2.get(3); alert3Well2 = Metrics.counter(alert3Well2); alert3Well2.tag("well2", "lead"); List<TStream<JsonObject>> individualAlerts3 = splitAlert(filteredReadings3, 3); // Put a rate meter on well3's temperature sensor output Metrics.rateMeter(individualAlerts3.get(0)); individualAlerts3.get(0).tag(TEMP_ALERT_TAG, "well3") .sink(tuple -> System.out.println(formatAlertOutput(tuple, "3", "temp"))); individualAlerts3.get(1).tag(ACIDITY_ALERT_TAG, "well3") .sink(tuple -> System.out.println(formatAlertOutput(tuple, "3", "acidity"))); individualAlerts3.get(2).tag(ECOLI_ALERT_TAG, "well3") .sink(tuple -> System.out.println(formatAlertOutput(tuple, "3", "ecoli"))); individualAlerts3.get(3).tag(LEAD_ALERT_TAG, "well3") .sink(tuple -> System.out.println(formatAlertOutput(tuple, "3", "lead"))); dp.submit(wellTopology); while (true) { MetricRegistry metricRegistry = dp.getServices().getService(MetricRegistry.class); SortedMap<String, Counter> counters = metricRegistry.getCounters(); Set<Entry<String, Counter>> values = counters.entrySet(); for (Entry<String, Counter> e : values) { if (e.getValue().getCount() == 0) { System.out.println("Counter Op:" + e.getKey() + " has a tuple count of zero!"); } } Thread.sleep(2000); } } /** * Creates a TStream<JsonObject> for each sensor reading for each well. Unions all the TStream<JsonObject> into a * single one representing all readings on the well. * @param topology Topology providing the tuples for the sensors * @param wellId Id of the well sending the measurements * @return TStream<JsonObject> containing a measurement from each sensor type. * Creates a single TStream<JsonObject> from polling the four sensor types as TStream<Integer> */ public static TStream<JsonObject> waterDetector(Topology topology, int wellId) { Random rNum = new Random(); TStream<Integer> temp = topology.poll( () -> rNum.nextInt(TEMP_RANDOM_HIGH - TEMP_RANDOM_LOW) + TEMP_RANDOM_LOW, 1, TimeUnit.SECONDS); TStream<Integer> acidity = topology.poll( () -> rNum.nextInt(ACIDITY_RANDOM_HIGH - ACIDITY_RANDOM_LOW) + ACIDITY_RANDOM_LOW, 1, TimeUnit.SECONDS); TStream<Integer> ecoli = topology.poll( () -> rNum.nextInt(ECOLI_RANDOM_HIGH - ECOLI_RANDOM_LOW) + ECOLI_RANDOM_LOW, 1, TimeUnit.SECONDS); TStream<Integer> lead = topology.poll( () -> rNum.nextInt(LEAD_RANDOM_HIGH - LEAD_RANDOM_LOW) + LEAD_RANDOM_LOW, 1, TimeUnit.SECONDS); TStream<Integer> id = topology.poll(() -> wellId, 1, TimeUnit.SECONDS); // add tags to each sensor temp.tag("temperature", "well" + wellId); acidity.tag("acidity", "well" + wellId); ecoli.tag("ecoli", "well" + wellId); lead.tag("lead", "well" + wellId); id.tag("well" + wellId); TStream<JsonObject> tempObj = temp.map(t -> { JsonObject jObj = new JsonObject(); jObj.addProperty("temp", t); return jObj; }); TStream<JsonObject> acidityObj = acidity.map(a -> { JsonObject jObj = new JsonObject(); jObj.addProperty("acidity", a); return jObj; }); TStream<JsonObject> ecoliObj = ecoli.map(e -> { JsonObject jObj = new JsonObject(); jObj.addProperty("ecoli", e); return jObj; }); TStream<JsonObject> leadObj = lead.map(l -> { JsonObject jObj = new JsonObject(); jObj.addProperty("lead", l); return jObj; }); TStream<JsonObject> idObj = id.map(i -> { JsonObject jObj = new JsonObject(); jObj.addProperty("id", i); return jObj; }); // ArrayAsList HashSet<TStream<JsonObject>> set = new HashSet<TStream<JsonObject>>(); set.add(acidityObj); set.add(acidityObj); set.add(ecoliObj); set.add(leadObj); set.add(idObj); TStream<JsonObject> allReadings = tempObj.union(set); return allReadings; } /** * Look through the stream and check to see if any of the measurements cause concern. * Only a TStream that has one or more of the readings at "alert" level are passed through * @param readingsDetector The TStream<JsonObject> that represents all of the different sensor readings for the well * @param wellId The id of the well * @param simulateNormal Make this stream simulate all readings within the normal range, and therefore will not pass through the filter * @return TStream<JsonObject> that contain readings that could cause concern. Note: if any reading is out of range the tuple * will be returned */ public static TStream<JsonObject> alertFilter(TStream<JsonObject> readingsDetector, int wellId, boolean simulateNormal) { readingsDetector = readingsDetector.filter(r -> { if (simulateNormal == true) { return false; } JsonElement tempElement = r.get("temp"); if (tempElement != null) { int temp = tempElement.getAsInt(); return (temp <= TEMP_ALERT_MIN || temp >= TEMP_ALERT_MAX); } JsonElement acidElement = r.get("acidity"); if (acidElement != null) { int acid = acidElement.getAsInt(); return (acid <= ACIDITY_ALERT_MIN || acid >= ACIDITY_ALERT_MAX); } JsonElement ecoliElement = r.get("ecoli"); if (ecoliElement != null) { int ecoli = ecoliElement.getAsInt(); return ecoli >= ECOLI_ALERT; } JsonElement leadElement = r.get("lead"); if (leadElement != null) { int lead = leadElement.getAsInt(); return lead >= LEAD_ALERT_MAX; } return false; }); return readingsDetector; } /** * Splits the incoming TStream<JsonObject> into individual TStreams based on the sensor type * @param alertStream The TStream<JsonObject> that we know has some out of range condition - it could be temp, acidity, ecoli or lead * - or all of them * @param wellId The id of the well that has the out of range readings * @return List<TStream<JsonObject>> - one for each sensor. */ public static List<TStream<JsonObject>> splitAlert(TStream<JsonObject> alertStream, int wellId) { List<TStream<JsonObject>> allStreams = alertStream.split(5, tuple -> { if (tuple.get("temp") != null) { JsonObject tempObj = new JsonObject(); int temp = tuple.get("temp").getAsInt(); if (temp <= TEMP_ALERT_MIN || temp >= TEMP_ALERT_MAX) { tempObj.addProperty("temp", temp); return 0; } else { return -1; } } else if (tuple.get("acidity") != null) { JsonObject acidObj = new JsonObject(); int acid = tuple.get("acidity").getAsInt(); if (acid <= ACIDITY_ALERT_MIN || acid >= ACIDITY_ALERT_MAX) { acidObj.addProperty("acidity", acid); return 1; } else { return -1; } } else if (tuple.get("ecoli") != null) { JsonObject ecoliObj = new JsonObject(); int ecoli = tuple.get("ecoli").getAsInt(); if (ecoli >= ECOLI_ALERT) { ecoliObj.addProperty("ecoli", ecoli); return 2; } else { return -1; } } else if (tuple.get("lead") != null) { JsonObject leadObj = new JsonObject(); int lead = tuple.get("lead").getAsInt(); if (lead >= LEAD_ALERT_MAX) { leadObj.addProperty("lead", lead); return 3; } else { return -1; } } else { return -1; } }); return allStreams; } /** * Formats the output of the alert, containing the well id, sensor type and value of the sensor * @param alertObj The tuple that contains out of range readings * @param wellId The id of the well * @param alertType The type of sensor that has the possible alert on it * @return String containing the wellId, sensor type and sensor value */ public static String formatAlertOutput(JsonObject alertObj, String wellId, String alertType) { return "Well" + wellId + " alert, " + alertType + " value is " + alertObj.get(alertType).getAsInt(); } }