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community.general/v2/samples/multi.py

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#!/usr/bin/env python
import time
import Queue
import traceback
from multiprocessing import Process, Manager, Pipe, RLock
from ansible.playbook.play import Play
from ansible.playbook.task import Task
from ansible.utils.debug import debug
NUM_WORKERS = 50
NUM_HOSTS = 2500
NUM_TASKS = 1
class Foo:
def __init__(self, i, j):
self._foo = "FOO_%05d_%05d" % (i, j)
def __repr__(self):
return self._foo
def __getstate__(self):
debug("pickling %s" % self._foo)
return dict(foo=self._foo)
def __setstate__(self, data):
debug("unpickling...")
self._foo = data.get('foo', "BAD PICKLE!")
debug("unpickled %s" % self._foo)
def results(pipe, workers):
cur_worker = 0
def _read_worker_result(cur_worker):
result = None
starting_point = cur_worker
while True:
(worker_prc, main_pipe, res_pipe) = workers[cur_worker]
cur_worker += 1
if cur_worker >= len(workers):
cur_worker = 0
if res_pipe[1].poll(0.01):
debug("worker %d has data to read" % cur_worker)
result = res_pipe[1].recv()
debug("got a result from worker %d: %s" % (cur_worker, result))
break
if cur_worker == starting_point:
break
return (result, cur_worker)
while True:
result = None
try:
(result, cur_worker) = _read_worker_result(cur_worker)
if result is None:
time.sleep(0.01)
continue
pipe.send(result)
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except (IOError, EOFError, KeyboardInterrupt) as e:
debug("got a breaking error: %s" % e)
break
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except Exception as e:
debug("EXCEPTION DURING RESULTS PROCESSING: %s" % e)
traceback.print_exc()
break
def worker(main_pipe, res_pipe):
while True:
foo = None
try:
if main_pipe.poll(0.01):
foo = main_pipe.recv()
time.sleep(0.07)
res_pipe.send(foo)
else:
time.sleep(0.01)
except (IOError, EOFError, KeyboardInterrupt), e:
debug("got a breaking error: %s" % e)
break
except Exception, e:
debug("EXCEPTION DURING WORKER PROCESSING: %s" % e)
traceback.print_exc()
break
workers = []
for i in range(NUM_WORKERS):
(main_p1, main_p2) = Pipe()
(res_p1, res_p2) = Pipe()
worker_p = Process(target=worker, args=(main_p2, res_p1))
worker_p.start()
workers.append((worker_p, (main_p1, main_p2), (res_p1, res_p2)))
in_p, out_p = Pipe()
res_p = Process(target=results, args=(in_p, workers))
res_p.start()
def send_data(obj):
global cur_worker
global workers
global pending_results
(w_proc, main_pipe, res_pipe) = workers[cur_worker]
cur_worker += 1
if cur_worker >= len(workers):
cur_worker = 0
pending_results += 1
main_pipe[0].send(obj)
def _process_pending_results():
global out_p
global pending_results
try:
#p_lock.acquire()
while out_p.poll(0.01):
result = out_p.recv()
debug("got final result: %s" % (result,))
pending_results -= 1
finally:
#p_lock.release()
pass
def _wait_on_pending_results():
global pending_results
while pending_results > 0:
debug("waiting for pending results (%d left)" % pending_results)
_process_pending_results()
time.sleep(0.01)
debug("starting")
cur_worker = 0
pending_results = 0
sample_play = Play()
for i in range(NUM_TASKS):
for j in range(NUM_HOSTS):
debug("queuing %d, %d" % (i, j))
send_data(Task().load(dict(name="task %d %d" % (i,j), ping=""), sample_play))
debug("done queuing %d, %d" % (i, j))
_process_pending_results()
debug("waiting for the results to drain...")
_wait_on_pending_results()
in_p.close()
out_p.close()
res_p.terminate()
for (w_p, main_pipe, res_pipe) in workers:
res_pipe[1].close()
res_pipe[0].close()
main_pipe[1].close()
main_pipe[0].close()
w_p.terminate()
debug("done")