# Path: cloudify/celery/gate_keeper.py
# def configure_app(app):
#     def _handle(self, request, callbacks):
#         def handler():
#     def __init__(self, task, app, consumer,
#                  info=logger.info,
#                  task_reserved=task_reserved,
#                  **kwargs):
#     def __call__(self, message, body, ack, reject, callbacks, **kwargs):
#     def _build_request(self, message, body, ack, reject):
#     def _send_event(self, request):
#     def __init__(self, worker,
#                  with_gate_keeper=False,
#                  gate_keeper_bucket_size=5, **kwargs):
#     def _noop(self, worker):
#     def info(self, worker):
#     def start(self, worker):
#     def task_received(self, request, handler, socket_url=None):
#     def task_ended(self, bucket_key):
#     def _clear_first_current_task(self, bucket_key):
#     def _try_get_on_hold_task(self, bucket_key):
#     def _hold_task(self, bucket_key, handler):
#     def _add_task(self, bucket_key):
#     def _patch_request(self, bucket_key, request):
#         def on_success(*args, **kwargs):
#     def _extract_bucket_key_and_augment_request(request, socket_url):
# class GateKeeperStrategy(object):
# class GateKeeper(bootsteps.StartStopStep):


import random
import mock
import testtools
from cloudify.celery import gate_keeper
        # for operations). Total of 100 * 100 * 2 tasks that are "waiting"
        # in the gate_keeper queues.
        # Then, until no more tasks are left, each iteration, a different
        # workflows or operations queue is selected and one task execution
        # is simulated. After that, it verifies the internal state is
        # valid.
        # This test exists mostly to "stress test" this component and make
        # sure it does not introduce any noticeable bottleneck.

        num_deployments = 100
        num_operations = 100
        requests = []
        for i in range(num_deployments):
            op_deployment_requests = Requests(self, i, op)
            workflow_deployment_requests = Requests(self, i, workflow)
            for j in range(num_operations):
                op_deployment_requests.begin_new_request()
                workflow_deployment_requests.begin_new_request()
            requests.append(op_deployment_requests)
            requests.append(workflow_deployment_requests)
        while requests:
            deployment_requests = requests[random.randint(0,
                                                          len(requests) - 1)]
            if not deployment_requests.end_first_running_request():
                requests.remove(deployment_requests)

    def setUp(self):
        super(GateKeeperTest, self).setUp()
        self.bucket_size = 5
        self.current = set()

# Path: cloudify/celery/gate_keeper.py
# def configure_app(app):
#     def _handle(self, request, callbacks):
#         def handler():
#     def __init__(self, task, app, consumer,
#                  info=logger.info,
#                  task_reserved=task_reserved,
#                  **kwargs):
#     def __call__(self, message, body, ack, reject, callbacks, **kwargs):
#     def _build_request(self, message, body, ack, reject):
#     def _send_event(self, request):
#     def __init__(self, worker,
#                  with_gate_keeper=False,
#                  gate_keeper_bucket_size=5, **kwargs):
#     def _noop(self, worker):
#     def info(self, worker):
#     def start(self, worker):
#     def task_received(self, request, handler, socket_url=None):
#     def task_ended(self, bucket_key):
#     def _clear_first_current_task(self, bucket_key):
#     def _try_get_on_hold_task(self, bucket_key):
#     def _hold_task(self, bucket_key, handler):
#     def _add_task(self, bucket_key):
#     def _patch_request(self, bucket_key, request):
#         def on_success(*args, **kwargs):
#     def _extract_bucket_key_and_augment_request(request, socket_url):
# class GateKeeperStrategy(object):
# class GateKeeper(bootsteps.StartStopStep):


# Path: cloudify/tests/test_gate_keeper.py
import random
import mock
import testtools
from cloudify.celery import gate_keeper

        # for operations). Total of 100 * 100 * 2 tasks that are "waiting"
        # in the gate_keeper queues.
        # Then, until no more tasks are left, each iteration, a different
        # workflows or operations queue is selected and one task execution
        # is simulated. After that, it verifies the internal state is
        # valid.
        # This test exists mostly to "stress test" this component and make
        # sure it does not introduce any noticeable bottleneck.

        num_deployments = 100
        num_operations = 100
        requests = []
        for i in range(num_deployments):
            op_deployment_requests = Requests(self, i, op)
            workflow_deployment_requests = Requests(self, i, workflow)
            for j in range(num_operations):
                op_deployment_requests.begin_new_request()
                workflow_deployment_requests.begin_new_request()
            requests.append(op_deployment_requests)
            requests.append(workflow_deployment_requests)
        while requests:
            deployment_requests = requests[random.randint(0,
                                                          len(requests) - 1)]
            if not deployment_requests.end_first_running_request():
                requests.remove(deployment_requests)

    def setUp(self):
        super(GateKeeperTest, self).setUp()
        self.bucket_size = 5
        self.current = set()

        self.keeper = gate_keeper.GateKeeper(