path: root/deps/v8/tools/testrunner/local/pool.py

#!/usr/bin/env python
# Copyright 2014 the V8 project authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.

from Queue import Empty
from multiprocessing import Event, Process, Queue
import traceback


def setup_testing():
  """For testing only: Use threading under the hood instead of multiprocessing
  to make coverage work.
  """
  global Queue
  global Event
  global Process
  del Queue
  del Event
  del Process
  from Queue import Queue
  from threading import Event
  from threading import Thread as Process


class NormalResult():
  def __init__(self, result):
    self.result = result
    self.exception = False
    self.break_now = False


class ExceptionResult():
  def __init__(self):
    self.exception = True
    self.break_now = False


class BreakResult():
  def __init__(self):
    self.exception = False
    self.break_now = True


class MaybeResult():
  def __init__(self, heartbeat, value):
    self.heartbeat = heartbeat
    self.value = value

  @staticmethod
  def create_heartbeat():
    return MaybeResult(True, None)

  @staticmethod
  def create_result(value):
    return MaybeResult(False, value)


def Worker(fn, work_queue, done_queue, done,
           process_context_fn=None, process_context_args=None):
  """Worker to be run in a child process.
  The worker stops on two conditions. 1. When the poison pill "STOP" is
  reached or 2. when the event "done" is set."""
  try:
    kwargs = {}
    if process_context_fn and process_context_args is not None:
      kwargs.update(process_context=process_context_fn(*process_context_args))
    for args in iter(work_queue.get, "STOP"):
      if done.is_set():
        break
      try:
        done_queue.put(NormalResult(fn(*args, **kwargs)))
      except Exception, e:
        traceback.print_exc()
        print(">>> EXCEPTION: %s" % e)
        done_queue.put(ExceptionResult())
  except KeyboardInterrupt:
    done_queue.put(BreakResult())


class Pool():
  """Distributes tasks to a number of worker processes.
  New tasks can be added dynamically even after the workers have been started.
  Requirement: Tasks can only be added from the parent process, e.g. while
  consuming the results generator."""

  # Factor to calculate the maximum number of items in the work/done queue.
  # Necessary to not overflow the queue's pipe if a keyboard interrupt happens.
  BUFFER_FACTOR = 4

  def __init__(self, num_workers, heartbeat_timeout=30):
    self.num_workers = num_workers
    self.processes = []
    self.terminated = False

    # Invariant: count >= #work_queue + #done_queue. It is greater when a
    # worker takes an item from the work_queue and before the result is
    # submitted to the done_queue. It is equal when no worker is working,
    # e.g. when all workers have finished, and when no results are processed.
    # Count is only accessed by the parent process. Only the parent process is
    # allowed to remove items from the done_queue and to add items to the
    # work_queue.
    self.count = 0
    self.work_queue = Queue()
    self.done_queue = Queue()
    self.done = Event()
    self.heartbeat_timeout = heartbeat_timeout

  def imap_unordered(self, fn, gen,
                     process_context_fn=None, process_context_args=None):
    """Maps function "fn" to items in generator "gen" on the worker processes
    in an arbitrary order. The items are expected to be lists of arguments to
    the function. Returns a results iterator. A result value of type
    MaybeResult either indicates a heartbeat of the runner, i.e. indicating
    that the runner is still waiting for the result to be computed, or it wraps
    the real result.

    Args:
      process_context_fn: Function executed once by each worker. Expected to
          return a process-context object. If present, this object is passed
          as additional argument to each call to fn.
      process_context_args: List of arguments for the invocation of
          process_context_fn. All arguments will be pickled and sent beyond the
          process boundary.
    """
    try:
      internal_error = False
      gen = iter(gen)
      self.advance = self._advance_more

      for w in xrange(self.num_workers):
        p = Process(target=Worker, args=(fn,
                                         self.work_queue,
                                         self.done_queue,
                                         self.done,
                                         process_context_fn,
                                         process_context_args))
        p.start()
        self.processes.append(p)

      self.advance(gen)
      while self.count > 0:
        while True:
          try:
            result = self.done_queue.get(timeout=self.heartbeat_timeout)
            break
          except Empty:
            # Indicate a heartbeat. The iterator will continue fetching the
            # next result.
            yield MaybeResult.create_heartbeat()
        self.count -= 1
        if result.exception:
          # TODO(machenbach): Handle a few known types of internal errors
          # gracefully, e.g. missing test files.
          internal_error = True
          continue
        elif result.break_now:
          # A keyboard interrupt happened in one of the worker processes.
          raise KeyboardInterrupt
        else:
          yield MaybeResult.create_result(result.result)
        self.advance(gen)
    except KeyboardInterrupt:
      raise
    except Exception as e:
      traceback.print_exc()
      print(">>> EXCEPTION: %s" % e)
    finally:
      self.terminate()
    if internal_error:
      raise Exception("Internal error in a worker process.")

  def _advance_more(self, gen):
    while self.count < self.num_workers * self.BUFFER_FACTOR:
      try:
        self.work_queue.put(gen.next())
        self.count += 1
      except StopIteration:
        self.advance = self._advance_empty
        break

  def _advance_empty(self, gen):
    pass

  def add(self, args):
    """Adds an item to the work queue. Can be called dynamically while
    processing the results from imap_unordered."""
    self.work_queue.put(args)
    self.count += 1

  def terminate(self):
    if self.terminated:
      return
    self.terminated = True

    # For exceptional tear down set the "done" event to stop the workers before
    # they empty the queue buffer.
    self.done.set()

    for p in self.processes:
      # During normal tear down the workers block on get(). Feed a poison pill
      # per worker to make them stop.
      self.work_queue.put("STOP")

    for p in self.processes:
      p.join()

    # Drain the queues to prevent failures when queues are garbage collected.
    try:
      while True: self.work_queue.get(False)
    except:
      pass
    try:
      while True: self.done_queue.get(False)
    except:
      pass