Python runtime.DeadlineExceededError方法代碼示例

# 需要導入模塊: from google.appengine import runtime [as 別名]
# 或者: from google.appengine.runtime import DeadlineExceededError [as 別名]
def GvizTableData(request):
    """Returns a string formatted for consumption by a Google Viz table."""
    #def throw_deadline():
    #    logging.info('MANUAL THROW!! DeadlineExceededError DeadlineExceededError')
    #    raise DeadlineExceededError
    #t = Timer(15.0, throw_deadline)

    test_set = None
    category = request.GET.get('category')
    if not category:
        return http.HttpResponseBadRequest('Must pass category=something')

    test_set = all_test_sets.GetTestSet(category)
    if not test_set:
        return http.HttpResponseBadRequest(
            'No test set was found for category=%s' % category)

    formatted_gviz_table_data = GetStats(request, test_set, 'gviz_table_data')
    return http.HttpResponse(formatted_gviz_table_data) 

# 需要導入模塊: from google.appengine import runtime [as 別名]
# 或者: from google.appengine.runtime import DeadlineExceededError [as 別名]
def generate_edges_page(ndb_iter, page_size, keys_only, edge_type):
    edges = []
    timeouts = 0
    while len(edges) < page_size:
        try:
            entity = ndb_iter.next()
        except StopIteration:
            break
        except Timeout:
            timeouts += 1
            if timeouts > 2:
                break

            continue
        except DeadlineExceededError:
            break

        if keys_only:
            # entity is actualy an ndb.Key and we need to create an empty entity to hold it
            entity = edge_type._meta.fields['node']._type._meta.model(key=entity)

        edges.append(edge_type(node=entity, cursor=ndb_iter.cursor_after().urlsafe()))

    return edges 

# 需要導入模塊: from google.appengine import runtime [as 別名]
# 或者: from google.appengine.runtime import DeadlineExceededError [as 別名]
def _WaitImpl(self):
    """Waits on the API call associated with this RPC. The callback,
    if provided, will be executed before Wait() returns. If this RPC
    is already complete, or if the RPC was never started, this
    function will return immediately.

    Raises:
      InterruptedError if a callback throws an uncaught exception.
    """
    try:
      rpc_completed = _apphosting_runtime___python__apiproxy.Wait(self)
    except (runtime.DeadlineExceededError, apiproxy_errors.InterruptedError):
      raise
    except:
      exc_class, exc, tb = sys.exc_info()
      if (isinstance(exc, SystemError) and
          exc.args[0] == 'uncaught RPC exception'):
        raise
      rpc = None
      if hasattr(exc, "_appengine_apiproxy_rpc"):
        rpc = exc._appengine_apiproxy_rpc

      new_exc = apiproxy_errors.InterruptedError(exc, rpc)
      raise new_exc.__class__, new_exc, tb
    return True 

# 需要導入模塊: from google.appengine import runtime [as 別名]
# 或者: from google.appengine.runtime import DeadlineExceededError [as 別名]
def get(self):
        if self.repo:  # Do some counting.
            try:
                counter = model.Counter.get_unfinished_or_create(
                    self.repo, self.SCAN_NAME)
                entities_remaining = True
                while entities_remaining:
                    # Batch the db updates.
                    for _ in xrange(100):
                        entities_remaining = run_count(
                            self.make_query, self.update_counter, counter)
                        if not entities_remaining:
                            break
                    # And put the updates at once.
                    counter.put()
            except runtime.DeadlineExceededError:
                # Continue counting in another task.
                self.add_task_for_repo(self.repo, self.SCAN_NAME, self.ACTION)
        else:  # Launch counting tasks for all repositories.
            for repo in model.Repo.list():
                self.add_task_for_repo(repo, self.SCAN_NAME, self.ACTION) 

# 需要導入模塊: from google.appengine import runtime [as 別名]
# 或者: from google.appengine.runtime import DeadlineExceededError [as 別名]
def post(self, request, *args, **kwargs):
        del request, args, kwargs  # unused
        query = model.Person.all(filter_expired=False).filter(
            'repo =', self.env.repo)
        cursor = self.params.cursor
        if cursor:
            query.with_cursor(cursor)
        try:
            for person in query:
                next_cursor = query.cursor()
                self._check_person(person)
                cursor = next_cursor
        except runtime.DeadlineExceededError:
            self.schedule_task(self.env.repo, cursor=cursor)
        except datastore_errors.Timeout:
            self.schedule_task(self.env.repo, cursor=cursor)
        return django.http.HttpResponse('') 

# 需要導入模塊: from google.appengine import runtime [as 別名]
# 或者: from google.appengine.runtime import DeadlineExceededError [as 別名]
def post(self, request, *args, **kwargs):
        del request, args, kwargs  # unused
        q = self.get_query()
        cursor = self.params.get('cursor', '')
        if cursor:
            q.with_cursor(cursor)
        try:
            now = utils.get_utcnow()
            for item in q:
                next_cursor = q.cursor()
                associated_person = model.Person.get(
                    self.env.repo, self.get_person_record_id(item))
                if not associated_person:
                    if now - self.get_base_timestamp(item) > _STRAY_CLEANUP_TTL:
                        db.delete(item)
                cursor = next_cursor
        except runtime.DeadlineExceededError:
            self.schedule_task(self.env.repo, cursor=cursor)
        except datastore_errors.Timeout:
            self.schedule_task(self.env.repo, cursor=cursor)
        return django.http.HttpResponse('') 

# 需要導入模塊: from google.appengine import runtime [as 別名]
# 或者: from google.appengine.runtime import DeadlineExceededError [as 別名]
def test_task_rescheduling(self):
        """Tests that task is rescheduled for continuation."""
        tq_mock = mox.Mox()
        tq_mock.StubOutWithMock(taskqueue, 'add')
        taskqueue.add(name=mox.IsA(unicode),
                      method='POST',
                      url='/haiti/tasks/process_expirations',
                      queue_name='expiry',
                      params={'cursor': ''})
        tq_mock.ReplayAll()
        # DeadlineExceededErrors can be raised at any time. A convenient way for
        # us to raise it during this test execution is with utils.get_utcnow.
        with mock.patch('utils.get_utcnow') as get_utcnow_mock:
            get_utcnow_mock.side_effect = runtime.DeadlineExceededError()
            self.run_task('/haiti/tasks/process_expirations', method='POST')
        tq_mock.VerifyAll()
        tq_mock.UnsetStubs() 

# 需要導入模塊: from google.appengine import runtime [as 別名]
# 或者: from google.appengine.runtime import DeadlineExceededError [as 別名]
def detect_labels(bucket_id, object_id):
  """Detects labels from uploaded image using Vision API."""
  try:
    # Construct GCS uri path
    gcs_image_uri = 'gs://{}/{}'.format(bucket_id, object_id)

    # Build request payload dict for label detection
    request_dict = [{
        'image': {
            'source': {
                'gcsImageUri': gcs_image_uri
            }
        },
        'features': [{
            'type': 'LABEL_DETECTION',
            'maxResults': 10,
        }]
    }]

    vision_svc = get_vision_svc()
    api_request = vision_svc.images().annotate(body={
        'requests': request_dict
    })
    response = api_request.execute()
    labels = []

    if 'labelAnnotations' in response['responses'][0]:
      labels = response['responses'][0]['labelAnnotations']

    return labels

  except DeadlineExceededError:
    logging.exception('Exceeded deadline in detect_labels()') 

# 需要導入模塊: from google.appengine import runtime [as 別名]
# 或者: from google.appengine.runtime import DeadlineExceededError [as 別名]
def detect_automl_labels(bucket_id, object_id):
  """Detects labels from image using AutoML Vision."""
  try:
    # Read image file contents from GCS
    filename = '/{}/{}'.format(bucket_id, object_id)
    gcs_file = cloudstorage.open(filename)
    encoded_contents = base64.b64encode(gcs_file.read())
    gcs_file.close()

    # Build request payload dict for label detection
    request_dict = {
        'payload': {
            'image': {
                'imageBytes': encoded_contents
            }
        },
        'params': {
            'score_threshold': "0.5"
        }
    }

    # Get predictions from the AutoML Vision model
    automl_svc = get_automl_svc()
    parent = 'projects/{}/locations/us-central1/models/{}'.format(
        app_identity.get_application_id(),
        current_app.config['AUTOML_MODEL_ID'])

    request = automl_svc.projects().locations().models().predict(
      name=parent, body=request_dict)
    response = request.execute()

    return response['payload']

  except DeadlineExceededError:
    logging.exception('Exceeded deadline in detect_automl_labels()') 

# 需要導入模塊: from google.appengine import runtime [as 別名]
# 或者: from google.appengine.runtime import DeadlineExceededError [as 別名]
def get(self):
        from google.appengine.runtime import DeadlineExceededError

        try:
            time.sleep(70)
            self.response.write('Completed.')
        except DeadlineExceededError:
            self.response.clear()
            self.response.set_status(500)
            self.response.out.write(
                'The request did not complete in time.')
# [END gae_python_request_timer]


# [START gae_python_environment] 

# 需要導入模塊: from google.appengine import runtime [as 別名]
# 或者: from google.appengine.runtime import DeadlineExceededError [as 別名]
def test_timer(testbed):
    app = webtest.TestApp(main.app)

    with mock.patch('main.time.sleep') as sleep_mock:
        sleep_mock.side_effect = DeadlineExceededError()
        app.get('/timer', status=500)
        assert sleep_mock.called 

# 需要導入模塊: from google.appengine import runtime [as 別名]
# 或者: from google.appengine.runtime import DeadlineExceededError [as 別名]
def _get_memory_usage():
  """Returns the amount of memory used as an float in MiB."""
  try:
    return apiruntime.runtime.memory_usage().current()
  except (AssertionError,
          apiproxy_errors.CancelledError,
          apiproxy_errors.DeadlineExceededError,
          apiproxy_errors.RPCFailedError,
          runtime.DeadlineExceededError) as e:
    logging.warning('Failed to get memory usage: %s', e)
    return None


## Handler 

# 需要導入模塊: from google.appengine import runtime [as 別名]
# 或者: from google.appengine.runtime import DeadlineExceededError [as 別名]
def report_memory(app):
  """Wraps an app so handlers log when memory usage increased by at least 0.5MB
  after the handler completed.
  """
  min_delta = 0.5
  old_dispatcher = app.router.dispatch
  def dispatch_and_report(*args, **kwargs):
    before = _get_memory_usage()
    deadline = False
    try:
      return old_dispatcher(*args, **kwargs)
    except runtime.DeadlineExceededError:
      # Don't try to call any function after, it'll likely fail anyway. It is
      # because _get_memory_usage() does an RPC under the hood.
      deadline = True
      raise
    finally:
      if not deadline:
        after = _get_memory_usage()
        if before and after and after >= before + min_delta:
          logging.debug(
              'Memory usage: %.1f -> %.1f MB; delta: %.1f MB',
              before, after, after-before)
  app.router.dispatch = dispatch_and_report


## Time 

# 需要導入模塊: from google.appengine import runtime [as 別名]
# 或者: from google.appengine.runtime import DeadlineExceededError [as 別名]
def cron_delete_old_bot():
  """Deletes stale BotRoot entity groups."""
  start = utils.utcnow()
  # Run for 4.5 minutes and schedule the cron job every 5 minutes. Running for
  # 9.5 minutes (out of 10 allowed for a cron job) results in 'Exceeded soft
  # private memory limit of 512 MB with 512 MB' even if this loop should be
  # fairly light on memory usage.
  time_to_stop = start + datetime.timedelta(seconds=int(4.5*60))
  total = 0
  deleted = []
  try:
    q = BotRoot.query(default_options=ndb.QueryOptions(keys_only=True))
    for bot_root_key in q:
      # Check if it has any BotEvent left. If not, it means that the entity is
      # older than _OLD_BOT_EVENTS_CUF_OFF, so the whole thing can be deleted
      # now.
      # In particular, ignore the fact that BotInfo may still exist, since if
      # there's no BotEvent left, it's probably a broken entity or a forgotten
      # dead bot.
      if BotEvent.query(ancestor=bot_root_key).count(limit=1):
        continue
      deleted.append(bot_root_key.string_id())
      # Delete the whole group. An ancestor query will retrieve the entity
      # itself too, so no need to explicitly delete it.
      keys = ndb.Query(ancestor=bot_root_key).fetch(keys_only=True)
      ndb.delete_multi(keys)
      total += len(keys)
      if utils.utcnow() >= time_to_stop:
        break
    return total
  except runtime.DeadlineExceededError:
    pass
  finally:
    logging.info(
        'Deleted %d entities from the following bots:\n%s',
        total, ', '.join(sorted(deleted))) 

# 需要導入模塊: from google.appengine import runtime [as 別名]
# 或者: from google.appengine.runtime import DeadlineExceededError [as 別名]
def emit(self, record):
    """Emit a record.

    This implementation is based on the implementation of
    StreamHandler.emit().

    Args:
      record: A Python logging.LogRecord object.
    """
    try:
      if features.IsEnabled("LogServiceWriteRecord"):
        logservice.write_record(self._AppLogsLevel(record.levelno),
                                record.created,
                                self.format(record),
                                self._AppLogsLocation(record))
      else:
        message = self._AppLogsMessage(record)
        if isinstance(message, unicode):
          message = message.encode("UTF-8")


        logservice.write(message)
    except (KeyboardInterrupt, SystemExit, runtime.DeadlineExceededError):
      raise
    except:
      self.handleError(record)