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dispatcher.py
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dispatcher.py
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#!/usr/bin/env python
# Copyright 2014 Boundary, Inc.
#
# Licensed 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import random
from time import sleep
import platform
from sys import stdout
from threading import Thread, Lock
from exec_proc import ExecProc
from metric_thread import MetricThread
import logging
class Dispatcher:
def __init__(self):
pass
def setConfig(self,config):
self.config = config
def printMetric(self,metric):
print(metric + " " + str(random.randrange(0,99)) + " " + platform.node())
def printOutput(self):
self.printMetric("LOAD_1_MINUTE")
self.printMetric("LOAD_5_MINUTE")
self.printMetric("LOAD_15_MINUTE")
def run(self):
stdoutmutex = Lock() # same as thread.allocate_lock()
threads = []
items = self.config.getItems()
for i in items:
# print(i.getName())
thread = MetricThread(i,stdoutmutex) # make/ start 10 threads
thread.start() # starts run method in a thread
threads.append(thread)
for thread in threads:
thread.join() # wait for thread exits
def execute(self,executeProcess,inputs):
pool = Pool(processes=len(inputs))
print(type(executeProcess))
print(type(inputs))
print(type(len(inputs)))
results = pool.map(executeProcess,inputs)
pool.close()
return all(results)