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/*
 * Copyright 2001-2013 Artima, Inc.
 *
 * 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 org.scalatest.concurrent

import org.scalatest._
import PatienceConfiguration._
import PimpedThreadGroup._
import org.scalactic.source
import _root_.java.util.concurrent.atomic.AtomicReference
import _root_.java.util.concurrent.{CopyOnWriteArrayList, ArrayBlockingQueue}
import org.scalatest.exceptions.NotAllowedException
import time.{Seconds, Millis, Span}

/**
 * Trait whose Conductor member facilitates the testing of classes, traits, and libraries designed
 * to be used by multiple threads concurrently.
 *
 * 

* A Conductor conducts a multi-threaded scenario by maintaining * a clock of "beats." Beats are numbered starting with 0. You can ask a * Conductor to run threads that interact with the class, trait, * or library (the subject) * you want to test. A thread can call the Conductor's * waitForBeat method, which will cause the thread to block * until that beat has been reached. The Conductor will advance * the beat only when all threads participating in the test are blocked. By * tying the timing of thread activities to specific beats, you can write * tests for concurrent systems that have deterministic interleavings of * threads. *

* *

* A Conductor object has a three-phase lifecycle. It begins its life * in the setup phase. During this phase, you can start threads by * invoking the thread method on the Conductor. * When conduct is invoked on a Conductor, it enters * the conducting phase. During this phase it conducts the one multi-threaded * scenario it was designed to conduct. After all participating threads have exited, either by * returning normally or throwing an exception, the conduct method * will complete, either by returning normally or throwing an exception. As soon as * the conduct method completes, the Conductor * enters its defunct phase. Once the Conductor has conducted * a multi-threaded scenario, it is defunct and can't be reused. To run the same test again, * you'll need to create a new instance of Conductor. *

* *

* Here's an example of the use of Conductor to test the ArrayBlockingQueue * class from java.util.concurrent: *

* *
 * import org.scalatest.fixture.FunSuite
 * import org.scalatest.matchers.Matchers
 * import java.util.concurrent.ArrayBlockingQueue
 * import org.scalatest.concurrent.Conductors
 *
 * class ArrayBlockingQueueSuite extends FunSuite with Matchers with Conductors {
 *
 *   test("calling put on a full queue blocks the producer thread") {
 *
 *     val conductor = new Conductor
 *     import conductor._
 *
 *     val buf = new ArrayBlockingQueue[Int](1)
 *
 *     thread("producer") {
 *       buf put 42
 *       buf put 17
 *       beat should be (1)
 *     }
 *
 *     thread("consumer") {
 *       waitForBeat(1)
 *       buf.take should be (42)
 *       buf.take should be (17)
 *     }
 *
 *     whenFinished {
 *       buf should be ('empty)
 *     }
 *   }
 * }
 * 
* *

* When the test shown is run, it will create one thread named producer and another named * consumer. The producer thread will eventually execute the code passed as a by-name * parameter to thread("producer"): *

* *
 * buf put 42
 * buf put 17
 * beat should be (1)
 * 
* * Similarly, the consumer thread will eventually execute the code passed as a by-name parameter * to thread("consumer"): *

* *
 * waitForBeat(1)
 * buf.take should be (42)
 * buf.take should be (17)
 * 
* *

* The thread creates the threads and starts them, but they will not immediately * execute the by-name parameter passed to them. They will first block, waiting for the Conductor * to give them a green light to proceed. *

* *

* The next call in the test is whenFinished. This method will first call conduct on * the Conductor, which will wait until all threads that were created (in this case, producer and consumer) are * at the "starting line", i.e., they have all started and are blocked, waiting on the green light. * The conduct method will then give these threads the green light and they will * all start executing their blocks concurrently. *

* *

* When the threads are given the green light, the beat is 0. The first thing the producer thread does is put 42 in * into the queue. As the queue is empty at this point, this succeeds. The producer thread next attempts to put a 17 * into the queue, but because the queue has size 1, this can't succeed until the consumer thread has read the 42 * from the queue. This hasn't happened yet, so producer blocks. Meanwhile, the consumer thread's first act is to * call waitForBeat(1). Because the beat starts out at 0, this call will block the consumer thread. * As a result, once the producer thread has executed buf put 17 and the consumer thread has executed * waitForBeat(1), both threads will be blocked. *

* *

* The Conductor maintains a clock that wakes up periodically and checks to see if all threads * participating in the multi-threaded scenario (in this case, producer and consumer) are blocked. If so, it * increments the beat. Thus sometime later the beat will be incremented, from 0 to 1. Because consumer was * waiting for beat 1, it will wake up (i.e., the waitForBeat(1) call will return) and * execute the next line of code in its block, buf.take should be (42). This will succeed, because * the producer thread had previously (during beat 0) put 42 into the queue. This act will also make * producer runnable again, because it was blocked on the second put, which was waiting for another * thread to read that 42. *

* *

* Now both threads are unblocked and able to execute their next statement. The order is * non-deterministic, and can even be simultaneous if running on multiple cores. If the consumer thread * happens to execute buf.take should be (17) first, it will block (buf.take will not return), because the queue is * at that point empty. At some point later, the producer thread will execute buf put 17, which will * unblock the consumer thread. Again both threads will be runnable and the order non-deterministic and * possibly simulataneous. The producer thread may charge ahead and run its next statement, beat should be (1). * This will succeed because the beat is indeed 1 at this point. As this is the last statement in the producer's block, * the producer thread will exit normally (it won't throw an exception). At some point later the consumer thread will * be allowed to complete its last statement, the buf.take call will return 17. The consumer thread will * execute 17 should be (17). This will succeed and as this was the last statement in its block, the consumer will return * normally. *

* *

* If either the producer or consumer thread had completed abruptbly with an exception, the conduct method * (which was called by whenFinished) would have completed abruptly with an exception to indicate the test * failed. However, since both threads returned normally, conduct will return. Because conduct doesn't * throw an exception, whenFinished will execute the block of code passed as a by-name parameter to it: buf should be ('empty). * This will succeed, because the queue is indeed empty at this point. The whenFinished method will then return, and * because the whenFinished call was the last statement in the test and it didn't throw an exception, the test completes successfully. *

* *

* This test tests ArrayBlockingQueue, to make sure it works as expected. If there were a bug in ArrayBlockingQueue * such as a put called on a full queue didn't block, but instead overwrote the previous value, this test would detect * it. However, if there were a bug in ArrayBlockingQueue such that a call to take called on an empty queue * never blocked and always returned 0, this test might not detect it. The reason is that whether the consumer thread will ever call * take on an empty queue during this test is non-deterministic. It depends on how the threads get scheduled during beat 1. * What is deterministic in this test, because the consumer thread blocks during beat 0, is that the producer thread will definitely * attempt to write to a full queue. To make sure the other scenario is tested, you'd need a different test: *

* *
 * test("calling take on an empty queue blocks the consumer thread") {
 *
 *   val conductor = new Conductor
 *   import conductor._
 *
 *   val buf = new ArrayBlockingQueue[Int](1)
 *
 *   thread("producer") {
 *     waitForBeat(1)
 *     buf put 42
 *     buf put 17
 *   }
 *
 *   thread("consumer") {
 *     buf.take should be (42)
 *     buf.take should be (17)
 *     beat should be (1)
 *   }
 *
 *   whenFinished {
 *     buf should be ('empty)
 *   }
 * }
 * 
* *

* In this test, the producer thread will block, waiting for beat 1. The consumer thread will invoke buf.take * as its first act. This will block, because the queue is empty. Because both threads are blocked, the Conductor * will at some point later increment the beat to 1. This will awaken the producer thread. It will return from its * waitForBeat(1) call and execute buf put 42. This will unblock the consumer thread, which will * take the 42, and so on. *

* *

* The problem that Conductor is designed to address is the difficulty, caused by the non-deterministic nature * of thread scheduling, of testing classes, traits, and libraries that are intended to be used by multiple threads. * If you just create a test in which one thread reads from an ArrayBlockingQueue and * another writes to it, you can't be sure that you have tested all possible interleavings of threads, no matter * how many times you run the test. The purpose of Conductor * is to enable you to write tests with deterministic interleavings of threads. If you write one test for each possible * interleaving of threads, then you can be sure you have all the scenarios tested. The two tests shown here, for example, * ensure that both the scenario in which a producer thread tries to write to a full queue and the scenario in which a * consumer thread tries to take from an empty queue are tested. *

* *

* Class Conductor was inspired by the * MultithreadedTC project, * created by Bill Pugh and Nat Ayewah of the University of Maryland. *

* *

* Although useful, bear in mind that a Conductor's results are not guaranteed to be * accurate 100% of the time. The reason is that it uses java.lang.Thread's getState method to * decide when to advance the beat. This use goes against the advice given in the Javadoc documentation for * getState, which says, "This method is designed for use in monitoring of the system state, not for * synchronization." In short, sometimes the return value of getState occasionally may be inacurrate, * which in turn means that sometimes a Conductor could decide to advance the beat too early. In practice, * Conductor has proven to be very helpful when developing thread safe classes. It is also useful in * for regression tests, but you may have to tolerate occasional false negatives. *

* * @author Josh Cough * @author Bill Venners */ trait Conductors extends PatienceConfiguration { /** * Class that facilitates the testing of classes, traits, and libraries designed * to be used by multiple threads concurrently. * *

* A Conductor conducts a multi-threaded scenario by maintaining * a clock of "beats." Beats are numbered starting with 0. You can ask a * Conductor to run threads that interact with the class, trait, * or library (the subject) * you want to test. A thread can call the Conductor's * waitForBeat method, which will cause the thread to block * until that beat has been reached. The Conductor will advance * the beat only when all threads participating in the test are blocked. By * tying the timing of thread activities to specific beats, you can write * tests for concurrent systems that have deterministic interleavings of * threads. *

* *

* A Conductor object has a three-phase lifecycle. It begins its life * in the setup phase. During this phase, you can start threads by * invoking the thread method on the Conductor. * When conduct is invoked on a Conductor, it enters * the conducting phase. During this phase it conducts the one multi-threaded * scenario it was designed to conduct. After all participating threads have exited, either by * returning normally or throwing an exception, the conduct method * will complete, either by returning normally or throwing an exception. As soon as * the conduct method completes, the Conductor * enters its defunct phase. Once the Conductor has conducted * a multi-threaded scenario, it is defunct and can't be reused. To run the same test again, * you'll need to create a new instance of Conductor. *

* *

* Here's an example of the use of Conductor to test the ArrayBlockingQueue * class from java.util.concurrent: *

* *
   * import org.scalatest.fixture.FunSuite
   * import org.scalatest.matchers.Matchers
   * import java.util.concurrent.ArrayBlockingQueue
   * import org.scalatest.concurrent.Conductors
   *
   * class ArrayBlockingQueueSuite extends FunSuite with Matchers with Conductors {
   *
   *   test("calling put on a full queue blocks the producer thread") {
   *
   *     val conductor = new Conductor
   *     import conductor._
   *
   *     val buf = new ArrayBlockingQueue[Int](1)
   *
   *     thread("producer") {
   *       buf put 42
   *       buf put 17
   *       beat should be (1)
   *     }
   *
   *     thread("consumer") {
   *       waitForBeat(1)
   *       buf.take should be (42)
   *       buf.take should be (17)
   *     }
   *
   *     whenFinished {
   *       buf should be ('empty)
   *     }
   *   }
   * }
   * 
* *

* When the test shown is run, it will create one thread named producer and another named * consumer. The producer thread will eventually execute the code passed as a by-name * parameter to thread("producer"): *

* *
   * buf put 42
   * buf put 17
   * beat should be (1)
   * 
* * Similarly, the consumer thread will eventually execute the code passed as a by-name parameter * to thread("consumer"): *

* *
   * waitForBeat(1)
   * buf.take should be (42)
   * buf.take should be (17)
   * 
* *

* The thread calls create the threads and starts them, but they will not immediately * execute the by-name parameter passed to them. They will first block, waiting for the Conductor * to give them a green light to proceed. *

* *

* The next call in the test is whenFinished. This method will first call conduct on * the Conductor, which will wait until all threads that were created (in this case, producer and consumer) are * at the "starting line", i.e., they have all started and are blocked, waiting on the green light. * The conduct method will then give these threads the green light and they will * all start executing their blocks concurrently. *

* *

* When the threads are given the green light, the beat is 0. The first thing the producer thread does is put 42 in * into the queue. As the queue is empty at this point, this succeeds. The producer thread next attempts to put a 17 * into the queue, but because the queue has size 1, this can't succeed until the consumer thread has read the 42 * from the queue. This hasn't happened yet, so producer blocks. Meanwhile, the consumer thread's first act is to * call waitForBeat(1). Because the beat starts out at 0, this call will block the consumer thread. * As a result, once the producer thread has executed buf put 17 and the consumer thread has executed * waitForBeat(1), both threads will be blocked. *

* *

* The Conductor maintains a clock that wakes up periodically and checks to see if all threads * participating in the multi-threaded scenario (in this case, producer and consumer) are blocked. If so, it * increments the beat. Thus sometime later the beat will be incremented, from 0 to 1. Because consumer was * waiting for beat 1, it will wake up (i.e., the waitForBeat(1) call will return) and * execute the next line of code in its block, buf.take should be (42). This will succeed, because * the producer thread had previously (during beat 0) put 42 into the queue. This act will also make * producer runnable again, because it was blocked on the second put, which was waiting for another * thread to read that 42. *

* *

* Now both threads are unblocked and able to execute their next statement. The order is * non-deterministic, and can even be simultaneous if running on multiple cores. If the consumer thread * happens to execute buf.take should be (17) first, it will block (buf.take will not return), because the queue is * at that point empty. At some point later, the producer thread will execute buf put 17, which will * unblock the consumer thread. Again both threads will be runnable and the order non-deterministic and * possibly simulataneous. The producer thread may charge ahead and run its next statement, beat should be (1). * This will succeed because the beat is indeed 1 at this point. As this is the last statement in the producer's block, * the producer thread will exit normally (it won't throw an exception). At some point later the consumer thread will * be allowed to complete its last statement, the buf.take call will return 17. The consumer thread will * execute 17 should be (17). This will succeed and as this was the last statement in its block, the consumer will return * normally. *

* *

* If either the producer or consumer thread had completed abruptbly with an exception, the conduct method * (which was called by whenFinished) would have completed abruptly with an exception to indicate the test * failed. However, since both threads returned normally, conduct will return. Because conduct doesn't * throw an exception, whenFinished will execute the block of code passed as a by-name parameter to it: buf should be ('empty). * This will succeed, because the queue is indeed empty at this point. The whenFinished method will then return, and * because the whenFinished call was the last statement in the test and it didn't throw an exception, the test completes successfully. *

* *

* This test tests ArrayBlockingQueue, to make sure it works as expected. If there were a bug in ArrayBlockingQueue * such as a put called on a full queue didn't block, but instead overwrote the previous value, this test would detect * it. However, if there were a bug in ArrayBlockingQueue such that a call to take called on an empty queue * never blocked and always returned 0, this test might not detect it. The reason is that whether the consumer thread will ever call * take on an empty queue during this test is non-deterministic. It depends on how the threads get scheduled during beat 1. * What is deterministic in this test, because the consumer thread blocks during beat 0, is that the producer thread will definitely * attempt to write to a full queue. To make sure the other scenario is tested, you'd need a different test: *

* *
   * test("calling take on an empty queue blocks the consumer thread") {
   *
   *   val conductor = new Conductor
   *   import conductor._
   *
   *   val buf = new ArrayBlockingQueue[Int](1)
   *
   *   thread("producer") {
   *     waitForBeat(1)
   *     buf put 42
   *     buf put 17
   *   }
   *
   *   thread("consumer") {
   *     buf.take should be (42)
   *     buf.take should be (17)
   *     beat should be (1)
   *   }
   *
   *   whenFinished {
   *     buf should be ('empty)
   *   }
   * }
   * 
* *

* In this test, the producer thread will block, waiting for beat 1. The consumer thread will invoke buf.take * as its first act. This will block, because the queue is empty. Because both threads are blocked, the Conductor * will at some point later increment the beat to 1. This will awaken the producer thread. It will return from its * waitForBeat(1) call and execute buf put 42. This will unblock the consumer thread, which will * take the 42, and so on. *

* *

* The problem that Conductor is designed to address is the difficulty, caused by the non-deterministic nature * of thread scheduling, of testing classes, traits, and libraries that are intended to be used by multiple threads. * If you just create a test in which one thread reads from an ArrayBlockingQueue and * another writes to it, you can't be sure that you have tested all possible interleavings of threads, no matter * how many times you run the test. The purpose of Conductor * is to enable you to write tests with deterministic interleavings of threads. If you write one test for each possible * interleaving of threads, then you can be sure you have all the scenarios tested. The two tests shown here, for example, * ensure that both the scenario in which a producer thread tries to write to a full queue and the scenario in which a * consumer thread tries to take from an empty queue are tested. *

* *

* Class Conductor was inspired by the * MultithreadedTC project, * created by Bill Pugh and Nat Ayewah of the University of Maryland. *

* *

* Although useful, bear in mind that a Conductor's results are not guaranteed to be * accurate 100% of the time. The reason is that it uses java.lang.Thread's getState method to * decide when to advance the beat. This use goes against the advice given in the Javadoc documentation for * getState, which says, "This method is designed for use in monitoring of the system state, not for * synchronization." In short, sometimes the return value of getState occasionally may be inacurrate, * which in turn means that sometimes a Conductor could decide to advance the beat too early. In practice, * Conductor has proven to be very helpful when developing thread safe classes. It is also useful in * for regression tests, but you may have to tolerate occasional false negatives. *

* * @author Josh Cough * @author Bill Venners */ final class Conductor { /** * The metronome used to coordinate between threads. * This clock is advanced by the clock thread. * The clock will not advance if it is frozen. */ private final val clock = new Clock /////////////////////// thread management start ////////////////////////////// // place all threads in a new thread group private final val threadGroup = new ThreadGroup("Orchestra") // all the threads in this test // This need not be volatile, because it is initialized with one object and // that stays forever. Because it is final, it private final val threads = new CopyOnWriteArrayList[Thread]() // Used to keep track of what names have been created so far, so that // it can be enforced that the names are unique. private final val threadNames = new CopyOnWriteArrayList[String]() // the main test thread private final val mainThread = Thread.currentThread /** * Creates a new thread that will execute the specified function. * *

* The name of the thread will be of the form Conductor-Thread-N, where N is some integer. *

* *

* This method may be safely called by any thread. *

* * @param fun the function to be executed by the newly created thread * @return the newly created thread */ def thread(fun: => Any): Thread = threadNamed("Conductor-Thread-" + threads.size) { fun } /** * Creates a new thread with the specified name that will execute the specified function. * *

* This method may be safely called by any thread. *

* * @param name the name of the newly created thread * @param fun the function to be executed by the newly created thread * @return the newly created thread */ def threadNamed(name: String)(fun: => Any)(implicit pos: source.Position): Thread = { currentState.get match { case TestFinished => throw new NotAllowedException(Resources.threadCalledAfterConductingHasCompleted, pos) case _ => if (threadNames contains name) throw new NotAllowedException(Resources.cantRegisterThreadsWithSameName(name), pos) val t = TestThread(name, () => fun) threads add t threadNames add name t.start() t } } // The reason that the thread is started immediately, is so that nested threads // will start immediately, without requiring the user to explicitly start() them. // Also, so that the thread method can return a Thread object. /* * A test thread runs the given function. * It only does so after it is given permission to do so by the main thread. * The main thread grants permission after it receives notication that * all test threads are ready to go. */ private case class TestThread(name: String, f: () => Unit) extends Thread(threadGroup, name) { // Indicate a TestThread has been created that has not yet started running testThreadsStartingCounter.increment() override def run(): Unit = { try { // Indicate to the TestThreadsStartingCounter that one more thread is ready to go testThreadsStartingCounter.decrement() // wait for the main thread to say its ok to go. greenLightForTestThreads.await() // go f() } catch { case t: Throwable => if (firstExceptionThrown.isEmpty) { // The mainThread is likely joined to some test thread, so it needs to be awakened. If it // is joined to this thread, it will wake up shortly because this thread is about to die // by returning. If it is joined to a different thread, then it needs to be interrupted, // but this thread can't interrupt it, because then there's a race condition if it is // actually joined to this thread, between join returning because this thread returns // or join throwing an InterruptedException. So here just offer the throwable to // the firstExceptionThrown queue and return. Only the first will be accepted by the queue. // ThreadDeath exceptions that arise from being stopped will not go in because the queue // is already full. The clock thread checks the firestExceptionThrown queue each cycle, and // if it finds it is non-empty, it stops any live thread. firstExceptionThrown offer t } } } } /** * A BlockingQueue containing the first exception that occured * in test threads, or that was thrown by the clock thread. */ private val firstExceptionThrown = new ArrayBlockingQueue[Throwable](1) // Won't write one that takes clockPeriod and timeout for 1.0. For now people // can just call conduct(a, b) directly followed by the code they want to run // afterwards. See if anyone asks for a whenFinished(a, b) {} /** * Invokes conduct and after conduct method returns, * if conduct returns normally (i.e., without throwing * an exception), invokes the passed function. * *

* If conduct completes abruptly with an exception, this method * will complete abruptly with the same exception and not execute the passed * function. *

* *

* This method must be called by the thread that instantiated this Conductor, * and that same thread will invoke conduct and, if it returns noramlly, execute * the passed function. *

* *

* Because whenFinished invokes conduct, it can only be invoked * once on a Conductor instance. As a result, if you need to pass a block of * code to whenFinished it should be the last statement of your test. If you * don't have a block of code that needs to be run once all the threads have finished * successfully, then you can simply invoke conduct and never invoke * whenFinished. *

* * @param fun the function to execute after conduct call returns * @throws NotAllowedException if the calling thread is not the thread that * instantiated this Conductor, or if conduct has already * been invoked on this conductor. */ def whenFinished(fun: => Assertion)(implicit pos: source.Position): Assertion = { if (Thread.currentThread != mainThread) throw new NotAllowedException(Resources.whenFinishedCanOnlyBeCalledByMainThread, pos) if (conductingHasBegun) throw new NotAllowedException(Resources.cannotInvokeWhenFinishedAfterConduct, pos) conduct() fun } /** * Blocks the current thread until the thread beat reaches the * specified value, at which point the current thread will be unblocked. * * @param beat the tick value to wait for * @throws NotAllowedException if the a beat less than or equal to zero is passed */ def waitForBeat(beat: Int)(implicit pos: source.Position): Succeeded.type = { if (beat == 0) throw new NotAllowedException(Resources.cannotWaitForBeatZero, pos) if (beat < 0) throw new NotAllowedException(Resources.cannotWaitForNegativeBeat, pos) clock waitForBeat beat } /** * The current value of the thread clock. * * @return the current beat value */ def beat: Int = clock.currentBeat /** * Executes the passed function with the Conductor frozen so that it * won't advance the clock. * *

* While the Conductor is frozen, the beat will not advance. Once the * passed function has completed executing, the Conductor will be unfrozen * so that the beat will advance when all threads are blocked, as normal. *

* * @param fun the function to execute while the Conductor is frozen. */ def withConductorFrozen[T](fun: => T): T = { clock.withClockFrozen(fun) } /** * Indicates whether the conductor has been frozen. * *

* Note: The only way a thread * can freeze the conductor is by calling withConductorFrozen. *

*/ def isConductorFrozen: Boolean = clock.isFrozen private val testThreadsStartingCounter = new TestThreadsStartingCounter /** * Keeps the test threads from executing their bodies until the main thread * allows them to. */ private val greenLightForTestThreads = new CountDownLatch(1) /** * Conducts a multi-threaded test using the configured maximum allowed time between beats * (the timeout) and the configured time to sleep between checks (the interval). * * @param config the PatienceConfig object containing the timeout and * interval parameters used to configure the multi-threaded test */ def conduct()(implicit config: PatienceConfig, pos: source.Position): Assertion = { conductImpl(config.timeout, config.interval, pos) } /** * Conducts a multi-threaded test using the configured maximum allowed time between beats * (the timeout) and the configured time to sleep between checks (the interval). * *

* The maximum amount of time allowed between successive beats is configured by the value contained in the passed * timeout parameter. * The interval to sleep between successive checks for progress is configured by the value contained in the passed * interval parameter. *

* * @param timeout the Timeout configuration parameter * @param interval the Interval configuration parameter */ def conduct(timeout: Timeout, interval: Interval)(implicit pos: source.Position): Assertion = { conductImpl(timeout.value, interval. value, pos) } /** * Conducts a multi-threaded test using the configured maximum allowed time between beats * (the timeout) and the configured time to sleep between checks (the interval). * *

* The maximum amount of time allowed between successive beats is configured by the value contained in the passed * timeout parameter. * The interval to sleep between successive checks for progress is configured by by the interval field of * the PatienceConfig passed implicitly as the last parameter. *

* * @param timeout the Timeout configuration parameter * @param config the PatienceConfig object containing the (unused) timeout and * (used) interval parameters */ def conduct(timeout: Timeout)(implicit config: PatienceConfig, pos: source.Position): Assertion = { conductImpl(timeout.value, config.interval, pos) } /** * Conducts a multi-threaded test using the configured maximum allowed time between beats * (the timeout) and the configured time to sleep between checks (the interval). * *

* The maximum amount of time allowed between successive beats is configured by the timeout field of * the PatienceConfig passed implicitly as the last parameter. * The interval to sleep between successive checks for progress is configured by the value contained in the passed * interval parameter. *

* * @param interval the Interval configuration parameter * @param config the PatienceConfig object containing the (used) timeout and * (unused) interval parameters */ def conduct(interval: Interval)(implicit config: PatienceConfig, pos: source.Position): Assertion = { conductImpl(config.timeout, interval.value, pos) } private val currentState: AtomicReference[ConductorState] = new AtomicReference(Setup) /** * Indicates whether either of the two overloaded conduct methods * have been invoked. * *

* This method returns true if either conduct method has been invoked. The * conduct method may have returned or not. (In other words, a true * result from this method does not mean the conduct method has returned, * just that it was already been invoked and,therefore, the multi-threaded scenario it * conducts has definitely begun.) *

*/ def conductingHasBegun: Boolean = currentState.get.testWasStarted private def conductImpl(timeout: Span, clockInterval: Span, pos: source.Position): Assertion = { // if the test was started already, explode // otherwise, change state to TestStarted if (conductingHasBegun) throw new NotAllowedException(Resources.cannotCallConductTwice, pos) else currentState set TestStarted // wait until all threads are definitely ready to go if (threads.size > 0) testThreadsStartingCounter.waitUntilAllTestThreadsHaveStarted() // release the latch, allowing all threads to start // wait for all the test threads to start before starting the clock greenLightForTestThreads.countDown() // start the clock thread val clockThread = ClockThread(timeout, clockInterval) clockThread.start() // wait until all threads have ended waitForThreads // change state to test finished currentState set TestFinished if (!firstExceptionThrown.isEmpty) throw firstExceptionThrown.peek else Succeeded } /** * Wait for all of the test case threads to complete, or for one * of the threads to throw an exception, or for the clock thread to * interrupt this (main) thread of execution. When the clock thread * or other threads fail, the error is placed in the shared error array * and thrown by this method. * * @param threads List of all the test case threads and the clock thread */ // Explain how we understand it works: if the thread that's been joined already dies with an exception // that will go into errors, and this thread that called join will return. If the thread that's been joined returns and doesn't // die, that means all went well, and join will return and it can loop to the next one. // There should be no race condition between the last thread being waited on by join, it dies, join // returns, and after that the error gets into the errors. Because if you look in run() in the // thread inside createTestThread, the signaling error happens in a catch Throwable block before the thread // returns. private def waitForThreads: Succeeded.type = { var interrupted = false while(!interrupted && threadGroup.areAnyThreadsAlive) { threadGroup.getThreads.foreach { t => if (!interrupted && t.isAlive && firstExceptionThrown.isEmpty) try { t.join() } catch { // main thread will be interrupted if a timeout occurs, deadlock is suspected, // or a test thread completes abruptly with an exception. Just loop here, because // firstExceptionThrown should be non-empty after InterruptedException is caught, and // if not, then I don't know how it got interrupted, but just keep looping. case e: InterruptedException => interrupted = true } } } Succeeded } /** * A Clock manages the current beat in a Conductor. * Several duties stem from that responsibility. * * The clock will: * *
    *
  1. Block a thread until the tick has reached a particular time.
  2. *
  3. Report the current time
  4. *
  5. Run operations with the clock frozen.
  6. *
*/ private class Clock { import java.util.concurrent.locks.ReentrantReadWriteLock import PimpedReadWriteLock._ // clock starts at time 0 private var currentTime = 0 // methods in Clock that access or modify the private instance vars of this // Clock are synchronized on the object referenced from lock private val lock = new AnyRef /** * Read locks are acquired when clock is frozen and must be * released before the clock can advance in a advance(). (In a * ReentrantReadWriteLock, multiple threads can hold the read lock (and these * threads might read the value of currentTime (the currentBeat method), or just execute a * function with the clock frozen (the withClockFrozen method). The write lock * of a ReentrantReadWriteLock is exclusive, so only one can hold it, and it * can't be held if there are a thread or threads holding the read lock. This * is why the clock can't advance during a withClockFrozen, because the read * lock is grabbed before the function is executed in withClockFrozen, thus * advance will not be able to acquire the write lock to update currentTime * until after withClockFrozen has released the read lock (and there are no other * threads holding a read lock or the write lock). */ private val rwLock = new ReentrantReadWriteLock private var highestBeatBeingWaitedOn = 0 /** * Advance the current beat. In order to do so, the clock will wait * until it has become unfrozen. * * All threads waiting for the clock to advance (they would have been put in the lock * object's wait set by invoking the waitForBeat method) will be notified after the advance. * * Only the clock thread should be calling this. * * If the clock has been frozen by a thread, then that thread will own the readLock. Write * lock can only be acquired when there are no readers, so ticks won't progress while someone * has the clock frozen. Other methods also grab the read lock, like time (which gets * the current beat.) */ def advance(): Succeeded.type = { lock.synchronized { rwLock.write { currentTime += 1 } lock.notifyAll() } Succeeded } /** * The current beat. */ def currentBeat: Int = lock.synchronized { rwLock read currentTime } /** * When wait for beat is called, the current thread will block until * the given beat is reached by the clock. */ def waitForBeat(beat: Int): Succeeded.type = { lock.synchronized { if (beat > highestBeatBeingWaitedOn) highestBeatBeingWaitedOn = beat while (currentBeat < beat) { try { lock.wait() } catch { // TODO: this is probably fine, but check JCIP about InterEx again case e: InterruptedException => throw new AssertionError(e) } // Actually I"m not sure. Maybe should reset the interupted status } } Succeeded } // The reason there's no race condition between calling currentBeat in the while and calling // lock.wait() later (between that) and some other thread incrementing the beat and doing // a notify that this thread would miss (which it would want to know about if that's the // new time that it's waiting for) is because both this and the currentBeat method are synchronized // on the lock. /** * Returns true if any thread is waiting for a beat in the future (greater than the current beat) */ def isAnyThreadWaitingForABeat: Boolean = { lock.synchronized { highestBeatBeingWaitedOn > currentTime } } /** * When the clock is frozen, it will not advance even when all threads * are blocked. Use this to block the current thread with a time limit, * but prevent the clock from advancing due to a waitForBeat(Int) in * another thread. */ def withClockFrozen[T](fun: => T): T = rwLock read fun /** * Check if the clock has been frozen by any threads. */ def isFrozen: Boolean = rwLock.getReadLockCount > 0 } /** * The clock thread is the manager of the multi-threaded scenario. * Periodically checks all the test threads and regulates them. * If all the threads are blocked and at least one is waiting for a beat, * the clock advances to the next beat and all waiting threads are notified. * If none of the threads are waiting for a tick or in timed waiting, * a deadlock is detected. The clock thread times out if a thread is in runnable * or all are blocked and one is in timed waiting for longer than the runLimit. * * Algorithm in detail: * * While there are threads alive * * If there are threads RUNNING * * If they have been running too long * * stop the test with a timeout error * * else if there are threads waiting for a beat * * advance the clock * * else if there are threads in TIMED_WAITING * * increment the deadlock counter * * if the deadlock counter has reached a threshold * * stop the test due to potential deadlock * * sleep for one clockInterval * * * @param mainThread The main test thread. This thread will be waiting * for all the test threads to finish. It will be interrupted if the * ClockThread detects a deadlock or timeout. * * @param clockInterval The period between checks for the clock * * @param timeout The max time limit allowed between successive ticks of the clock */ private case class ClockThread(timeout: Span, clockInterval: Span) extends Thread("Conductor-Clock") { // When a test thread throws an exception, the main thread will stop all the other threads, // but won't stop the clock thread. This is because the clock thread will simply return after // all the other threads have died. Thus the clock thread could last beyond the end of the // application, if the clock period was set high. Thus by making the clock thread a daemon // thread, it won't keep the application up just because it is still asleep and hasn't noticed // yet that all the test threads are gone. this setDaemon true // bv made lastProgress and deadlockCount volatile because ClockThread is instantiated by // a different thread that invokes run, so the thread that invokes run may not see the initial // values correctly unless it is volatile (unless safely published). So just in case. // used in detecting timeouts @volatile private var lastProgress = System.nanoTime // used in detecting deadlocks @volatile private var deadlockCount = 0 private val MaxDeadlockDetectionsBeforeDeadlock = 50 /** * Runs the steps described in the main documentation for class ClockThread. */ override def run(): Unit = { // While there are threads that are not NEW or TERMINATED. (A thread is // NEW after it has been instantiated, but run() hasn't been called yet.) // So this means there are threads that are RUNNABLE, BLOCKED, WAITING, or // TIMED_WAITING. (BLOCKED is waiting for a lock. WAITING is in the wait set.) while (threadGroup.areAnyThreadsAlive) { if (!firstExceptionThrown.isEmpty) { // If any exception has been thrown, stop any live test thread. threadGroup.getThreads.foreach { t => if (t.isAlive) t.stop() } } // If any threads are in the RUNNABLE state, just check to see if there's been // no progress for more than the timeout amount of time. If RUNNABLE threads // exist, but the timeout limit has not been reached, then just go // back to sleep. else if (threadGroup.areAnyThreadsRunning) { if (runningTooLong) stopDueToTimeout() } // No RUNNABLE threads, so if any threads are waiting for a beat, advance // the beat. else if (clock.isAnyThreadWaitingForABeat) { clock.advance() deadlockCount = 0 lastProgress = System.nanoTime } else if (!threadGroup.areAnyThreadsInTimedWaiting) { // At this point, no threads are RUNNABLE, None // are waiting for a beat, and none are in TimedWaiting. // If this persists for MaxDeadlockDetectionsBeforeDeadlock, // go ahead and abort. detectDeadlock() } Thread.sleep(clockInterval.millisPart, clockInterval.nanosPart) } } /** * Threads have been running too long (timeout) if * The number of seconds since the last progress are more * than the allowed maximum run time. */ private def runningTooLong: Boolean = System.nanoTime - lastProgress > timeout.totalNanos /** * Stop the test due to a timeout. */ private def stopDueToTimeout(): Unit = { val errorMessage = Resources.testTimedOut(timeout.prettyString) // The mainThread is likely joined to some test thread, so wake it up. It will look and // notice that the firstExceptionThrown is no longer empty, and will stop all live test threads, // then rethrow the first exception thrown. firstExceptionThrown offer new RuntimeException(errorMessage) mainThread.interrupt() } /** * Determine if there is a deadlock and if so, stop the test. */ private def detectDeadlock(): Unit = { // Should never get to >= before ==, but just playing it safe if (deadlockCount >= MaxDeadlockDetectionsBeforeDeadlock) { val errorMessage = Resources.suspectedDeadlock(MaxDeadlockDetectionsBeforeDeadlock.toString, (clockInterval scaledBy MaxDeadlockDetectionsBeforeDeadlock).prettyString) firstExceptionThrown offer new RuntimeException(errorMessage) // The mainThread is likely joined to some test thread, so wake it up. It will look and // notice that the firstExceptionThrown is no longer empty, and will stop all live test threads, // then rethrow the rirst exception thrown. mainThread.interrupt() } else deadlockCount += 1 } } /** * Base class for the possible states of the Conductor. */ private sealed abstract class ConductorState(val testWasStarted: Boolean, val testIsFinished: Boolean) extends Product with Serializable /** * The initial state of the Conductor. * Any calls the thread{ ... } will result in started Threads that quickly block waiting for the * main thread to give it the green light. * Any call to conduct will start the test. */ private case object Setup extends ConductorState(false, false) /** * The state of the Conductor while its running. * Any calls the thread{ ... } will result in running Threads. * Any further call to conduct will result in an exception. */ private case object TestStarted extends ConductorState(true, false) /** * The state of the Conductor after all threads have finished, * and the whenFinished method has completed. * Any calls the thread{ ... } will result in an exception * Any call to conduct will result in an exception. */ private case object TestFinished extends ConductorState(true, true) } }




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