Files
django-q2/django_q/q.py
Ilan Steemers e473665760 Added admin pages for failures and success.
SAVE_LIMIT can now be set to limit the amount of saved tasks results.
2015-06-17 15:32:54 +02:00

206 lines
6.6 KiB
Python

import importlib
import logging
import pickle
import signal
from multiprocessing import cpu_count, Queue, Event, Process, current_process
import sys
from time import sleep
import coloredlogs
from django.utils import timezone
import redis
from django.core.signing import Signer, BadSignature
from django_q.apps import LOG_LEVEL, SECRET_KEY, SAVE_LIMIT
from django_q.humanhash import uuid
from django_q.models import Task, Success
prefix = 'django_q'
q_list = '{}:q'.format(prefix)
signer = Signer(SECRET_KEY)
logger = logging.getLogger('django-q')
coloredlogs.install(level=getattr(logging, LOG_LEVEL))
r = redis.StrictRedis()
class Cluster(object):
def __init__(self):
signal.signal(signal.SIGTERM, self.sig_handler)
signal.signal(signal.SIGINT, self.sig_handler)
try:
r.ping()
except ():
logger.error('Can not connect to Redis server')
return
self.running = True
self.pool_size = cpu_count()
self.pool = []
self.task_queue = Queue()
self.done_queue = Queue()
# Spawn workers
for i in range(self.pool_size):
self.spawn_worker()
# Spawn monitor
self.monitor_pid = None
self.spawn_monitor()
# Spawn pusher
self.pusher_pid = None
self.pusher_stop = Event()
self.spawn_pusher()
# Monitor process health
while self.running:
self.medic()
sleep(1)
def spawn_process(self, target, *args):
# This is just for PyCharm to not crash. Ignore it.
if not hasattr(sys.stdin, 'close'):
def dummy_close():
pass
sys.stdin.close = dummy_close
p = Process(target=target, args=args)
self.pool.append(p)
p.start()
return p.pid
def spawn_pusher(self):
self.pusher_pid = self.spawn_process(self.pusher, self.task_queue, self.pusher_stop)
def spawn_worker(self):
self.spawn_process(self.worker, self.task_queue, self.done_queue)
def spawn_monitor(self):
self.monitor_pid = self.spawn_process(self.monitor, self.done_queue)
def reincarnate(self, pid):
if pid == self.monitor_pid:
self.spawn_monitor()
logger.warn("reincarnated monitor after death of {}".format(pid))
elif pid == self.pusher_pid:
self.spawn_pusher()
logger.warn("reincarnated pusher after death of {}".format(pid))
else:
self.spawn_worker()
logger.warn("reincarnated work worker after death of {}".format(pid))
@staticmethod
def pusher(task_queue, e):
logger.info('{} pushing tasks at {}'.format(current_process().name, current_process().pid))
while not e.is_set():
task = r.blpop(q_list, 1)
if task:
task = task[1]
task_queue.put(task)
logger.debug('queueing {}'.format(task))
@staticmethod
def monitor(done_queue):
name = current_process().name
logger.info("{} monitoring at {}".format(name, current_process().pid))
for task in iter(done_queue.get, 'STOP'):
name = task[0]
func = task[1]
result = task[6]
success = task[7]
if success:
logger.info("Finished [{}:{}]".format(func, name))
else:
logger.error("Failed [{}:{}] - {}".format(func, name, result))
Cluster.save_task(task)
logger.info("{} stopped".format(name))
@staticmethod
def worker(task_queue, done_queue):
name = current_process().name
logger.info('{} ready for work at {}'.format(name, current_process().pid))
for pack in iter(task_queue.get, 'STOP'):
# unpickle the task
try:
task = pickle.loads(pack)
except TypeError as e:
logger.error(e)
continue
# check signature
try:
task[0] = signer.unsign(task[0])
except BadSignature as e:
task[0] = task[0].rsplit(":", 1)[0]
task.append(timezone.now())
task.append(e)
task.append(False)
done_queue.put(task)
continue
func = task[1]
module, func = func.rsplit('.', 1)
args = task[2]
kwargs = task[3]
logger.info('{} processing [{}:{}]'.format(name, func, task[0]))
task.append(timezone.now())
try:
m = importlib.import_module(module)
f = getattr(m, func)
result = f(*args, **kwargs)
task.append(result)
task.append(True)
done_queue.put(task)
except Exception as e:
task.append(e)
task.append(False)
done_queue.put(task)
logger.info('{} Stopped'.format(name))
def medic(self):
# Check if all the workers are alive
for p in list(self.pool):
if not p.is_alive():
# Be humane
p.terminate()
self.pool.remove(p)
# Replace it with a fresh one
self.reincarnate(p.pid)
@staticmethod
def save_task(task):
if task[7] and 0 < SAVE_LIMIT < Success.objects.count():
Success.objects.first().delete()
Task.objects.create(name=task[0],
func=task[1],
args=task[2],
kwargs=task[3],
started=task[4],
stopped=task[5],
result=task[6],
success=task[7])
def stop(self):
# Send the STOP signal to the pool
self.running = False
logger.info('Stopping')
# Wait for all the workers to finish the queue
for p in self.pool:
if p.pid == self.monitor_pid:
self.done_queue.put('STOP')
elif p.pid == self.pusher_pid:
self.pusher_stop.set()
else:
self.task_queue.put('STOP')
p.join()
logger.info('Goodbye. Have a wonderful time.')
def sig_handler(self, signum, frame):
self.stop()
def async(func, *args, **kwargs):
# [name, func, args, kwargs, started, finished, result, success]
name = signer.sign(uuid()[0])
pack = pickle.dumps([name, func, args, kwargs, timezone.now()])
r.rpush(q_list, pack)
logger.debug('Pushed {}'.format(pack))
return name