ansible/samples/multi_queues.py
2016-04-08 16:00:36 -04:00

177 lines
4.8 KiB
Python

#!/usr/bin/env python
import sys
import time
import Queue
import traceback
import multiprocessing
from ansible.inventory import Inventory
from ansible.inventory.host import Host
from ansible.playbook.play import Play
from ansible.playbook.play_context import PlayContext
from ansible.playbook.task import Task
from ansible.executor.task_executor import TaskExecutor
from ansible.executor.task_result import TaskResult
from ansible.parsing.dataloader import DataLoader
from ansible.vars import VariableManager
from ansible.utils.display import Display
display = Display()
debug = display.debug
NUM_WORKERS = 20
NUM_HOSTS = 1778
NUM_TASKS = 1
def results(final_q, workers):
cur_worker = 0
def _read_worker_result(cur_worker):
result = None
starting_point = cur_worker
while True:
(worker_prc, main_q, res_q) = workers[cur_worker]
cur_worker += 1
if cur_worker >= len(workers):
cur_worker = 0
try:
if not res_q.empty():
debug("worker %d has data to read" % cur_worker)
result = res_q.get()
debug("got a result from worker %d: %s" % (cur_worker, result))
break
except:
pass
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
final_q.put(result, block=False)
except (IOError, EOFError, KeyboardInterrupt) as e:
debug("got a breaking error: %s" % e)
break
except Exception as e:
debug("EXCEPTION DURING RESULTS PROCESSING: %s" % e)
traceback.print_exc()
break
def worker(main_q, res_q, loader):
while True:
task = None
try:
if not main_q.empty():
(host, task, task_vars, conn_info) = main_q.get(block=False)
executor_result = TaskExecutor(host, task, task_vars, conn_info, loader).run()
debug("executor result: %s" % executor_result)
task_result = TaskResult(host, task, executor_result)
res_q.put(task_result)
else:
time.sleep(0.01)
except Queue.Empty:
pass
except (IOError, EOFError, KeyboardInterrupt) as e:
debug("got a breaking error: %s" % e)
break
except Exception as e:
debug("EXCEPTION DURING WORKER PROCESSING: %s" % e)
traceback.print_exc()
break
loader = DataLoader()
workers = []
for i in range(NUM_WORKERS):
main_q = multiprocessing.Queue()
res_q = multiprocessing.Queue()
worker_p = multiprocessing.Process(target=worker, args=(main_q, res_q, loader))
worker_p.start()
workers.append((worker_p, main_q, res_q))
res_q = multiprocessing.Queue()
res_p = multiprocessing.Process(target=results, args=(res_q, workers))
res_p.start()
def send_data(obj):
global cur_worker
global workers
global pending_results
(w_proc, main_q, wrkr_q) = workers[cur_worker]
cur_worker += 1
if cur_worker >= len(workers):
cur_worker = 0
pending_results += 1
main_q.put(obj, block=False)
def _process_pending_results():
global res_q
global pending_results
while not res_q.empty():
try:
result = res_q.get(block=False)
debug("got final result: %s" % (result,))
pending_results -= 1
except Queue.Empty:
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
var_manager = VariableManager()
debug("loading inventory")
inventory = Inventory(host_list='/tmp/med_inventory', loader=loader, variable_manager=var_manager)
hosts = inventory.get_hosts()[:]
debug("done loading inventory")
play_context = PlayContext()
play_context.connection = 'local'
for i in range(NUM_TASKS):
#for j in range(NUM_HOSTS):
for h in hosts:
debug("queuing %s %d" % (h, i))
#h = Host(name="host%06d" % j)
t = Task().load(dict(name="task %d" % (i,), debug="msg='hello from %s, %d'" % (h,i)))
#t = Task().load(dict(name="task %d" % (i,), ping=""))
#task_vars = var_manager.get_vars(loader=loader, host=h, task=t)
task_vars = dict()
new_t = t.copy()
new_t.post_validate(task_vars)
send_data((h, t, task_vars, play_context))
debug("done queuing %s %d" % (h, i))
_process_pending_results()
debug("waiting for the results to drain...")
_wait_on_pending_results()
res_q.close()
res_p.terminate()
for (w_p, main_q, wrkr_q) in workers:
main_q.close()
wrkr_q.close()
w_p.terminate()
debug("done")