blob: 7c8167a40c2eca82cdfb349c79de96e32f01b48a [file] [log] [blame]
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import print_function
import time
from proton.reactor import Reactor
class Counter:
def __init__(self, limit):
self.limit = limit
self.count = 0
def on_timer_task(self, event):
self.count += 1
if self.count < self.limit:
# A recurring task can be acomplished by just scheduling
# another event.
event.reactor.schedule(0.25, self)
class Program:
def on_reactor_init(self, event):
self.start = time.time()
print("Hello, World!")
# Note that unlike the previous scheduling example, we pass in
# a separate object for the handler. This means that the timer
# event we just scheduled will not be seen by Program as it is
# being handled by the Counter instance we create.
event.reactor.schedule(0.25, Counter(10))
def on_reactor_final(self, event):
print("Goodbye, World! (after %s long seconds)" % (time.time() - self.start))
# In we said the reactor exits when there are no more
# events to process. While this is true, it's not actually complete.
# The reactor exits when there are no more events to process and no
# possibility of future events arising. For that reason the reactor
# will keep running until there are no more scheduled events and then
# exit.
r = Reactor(Program())