tools/android/loading Switch from multiprocessing Pool to Process

tools/android/loading/cloud/backend/multiprocessing_helper.py

+# Copyright 2016 The Chromium Authors. All rights reserved.
+# Use of this source code is governed by a BSD-style license that can be
+# found in the LICENSE file.
+
+import multiprocessing
+import os
+import Queue
+import resource
+import signal
+
+import psutil
+
+
+def _LimitMemory(memory_share):
+  """Limits the memory available to this process, to avoid OOM issues.
+
+  Args:
+    memory_share: (float) Share coefficient of the total physical memory that
+                          the process can use.
+  """
+  total_memory = psutil.virtual_memory().total
+  memory_limit = memory_share * total_memory
+  resource.setrlimit(resource.RLIMIT_AS, (memory_limit, -1L))
+
+
+def _MultiprocessingWrapper(queue, memory_share, function, args):
+  """Helper function that sets a memory limit on the current process, then
+  calls |function| on |args| and write the results to |queue|.
+
+  Args:
+    queue: (multiprocessing.Queue) Queue where the results of the wrapped
+           function are written.
+    memory_share: (float) Share coefficient of the total physical memory that
+                          the process can use.
+    function: The wrapped function.
+    args: (list) Arguments for the wrapped function.
+  """
+  try:
+    if memory_share:
+      _LimitMemory(memory_share)
+
+    queue.put(function(*args))
+  except Exception:
+    queue.put(None)
+
+
+def RunOutOfProcess(function, args, logger, timeout_seconds, memory_share=None):

[blundell, 2016/06/06 14:12:00]

nit: maybe RunInSeparateProcess()?

+  """Runs a function in a separate process, and kills it after the timeout is
+  reached.
+
+  Args:
+    function: The function to run.
+    args: (list) Arguments for the wrapped function.
+    timeout_seconds: (float) Timeout in seconds after which the subprocess is
+                     terminated.
+    memory_share: (float) Set this parameter to limit the memory available to
+                  the spawned subprocess. This is a ratio of the total system
+                  memory (between 0 and 1).
+  Returns:
+    The result of the wrapped function, or None if the call failed.
+  """
+  queue = multiprocessing.Queue()
+  process = multiprocessing.Process(target=_MultiprocessingWrapper,
+                                    args=(queue, memory_share, function, args))
+  process.daemon = True
+  process.start()
+
+  result = None
+
+  try:
+    logger.info('Wait for result.')
+    # Note: If the subprocess somehow crashes (e.g. Python crashing), this
+    # process will wait the full timeout. Could be avoided but probably not
+    # worth the extra complexity.
+    result = queue.get(block=True, timeout=timeout_seconds)
+  except Queue.Empty:
+    logger.warning('Subprocess timeout.')
+    process.terminate()
+
+  logger.info('Wait for process to terminate.')
+  process.join(timeout=5)
+
+  if process.is_alive():
+    logger.warning('Process still alive, hard killing now.')
+    os.kill(process.pid, signal.SIGKILL)
+
+  return result