class Collector(Singleton):
def __init__(self):
self.redis = RedisOperation()
self.redis.connect()
self.pool = ThreadPool(10)
self.pid = os.getpid()
self.pname = multiprocessing.current_process().name
def dispatch_work(self, task_data):
group = task_data.get("group")
urls = task_data.get("urls")
if 0 == len(urls):
LOG.warn("group(%s)'s task list is empty.'" % group)
return
LOG.info("pname(%s) pid(%s) receive and do task: %r."
% (self.pname, self.pid, task_data))
map_obj = self.pool.map_async(self.pull_work, urls)
ret_list = map_obj.get()
LOG.info("pname(%s) pid(%s) finished group(%s) pull task."
%(self.pname, self.pid, group))
self.finish_task(group, ret_list)
def pull_work(self, task_url):
pw = PullWorker(task_url)
data = pw.run()
return data
def finish_task(self, group, ret_list):
"""
1. compute metric
2. send metric
3. redis del group task for task state manage
"""
task_data = self.redis.get_redis_cache(group)
LOG.info("pname(%s) pid(%s) start push metric."
%(self.pname, self.pid))
pm = PushMetric(ret_list, task_data)
pm.run()
LOG.info("pname(%s) pid(%s) push metric finished."
%(self.pname, self.pid))
self.redis.delete(group)
LOG.info("pname(%s) pid(%s) task state manage del "
"task(%s) finished." %(self.pname, self.pid, group))
def init_app(self):
# init parent class, make oslo take effect
super(LawrenceApplication, self).init_app()
# init log
logging.setup("lawrence instance.")
LOG.info("server instance is runing.")
# init redis cluster
self.redis = RedisOperation()
self.redis.connect()
# init pool(max value is 50)
self.pool = multiprocessing.Pool(4, init_signal_handler)
# init socket long connect
self.sock_obj = QSocketOperation()
host_list = CONF.NODES.nodes
proxy_port = CONF.PROXY.proxy_port
timeout = 4
self.sock_obj.connect(host_list, proxy_port, timeout)
class LawrenceApplication(QApplication):
name = "lawrence"
version = "v1.0"
_last_update = 0
def init_app(self):
# init parent class, make oslo take effect
super(LawrenceApplication, self).init_app()
# init log
logging.setup("lawrence instance.")
LOG.info("server instance is runing.")
# init redis cluster
self.redis = RedisOperation()
self.redis.connect()
# init pool(max value is 50)
self.pool = multiprocessing.Pool(4, init_signal_handler)
# init socket long connect
self.sock_obj = QSocketOperation()
host_list = CONF.NODES.nodes
proxy_port = CONF.PROXY.proxy_port
timeout = 4
self.sock_obj.connect(host_list, proxy_port, timeout)
def run(self):
while True:
# heartbeat_check
heartbeat = struct.pack("!II", HEARTBEAT, 0)
send_status = self.sock_obj.sendmsg(heartbeat)
if not send_status:
LOG.warn("____proxy proxy master is badding, need alarm.")
# request_task
self._get_taskinfo()
head_data = self.sock_obj.recvmsg(HEADER_BYTES)
if head_data:
head_msg = struct.unpack('!II', head_data)
command_id = head_msg[0]
if command_id == ACK_HEART:
pass
elif command_id == ACK_NORMAL:
package_len = head_msg[1]
bodylen = package_len - HEADER_BYTES
body = self.sock_obj.recvmsg(bodylen)
LOG.info("receive body for task data is: %s" % body)
if not body:
time.sleep(2)
continue
# do task
task_list = json.loads(body)
self._dispatch_task(task_list)
time.sleep(2)
def _get_taskinfo(self):
cur_time = time.time()
timestamp = long(cur_time)
timedelta = timestamp - self._last_update
if timedelta < 50:
return
curSecond = long(time.strftime("%S", time.localtime(cur_time)))
if curSecond < 30:
return
self._last_update = timestamp
request_data = struct.pack("!II", NORMALMSG, 0)
send_status = self.sock_obj.sendmsg(request_data)
if not send_status:
LOG.info("request task data is failed.........")
def _dispatch_task(self, task_list):
try:
for item in task_list:
group = item.get("group")
is_exist = self.redis.exists(group)
if is_exist:
self.redis.delete(group)
LOG.warn("find unfinished task, group is (%s)" % group)
continue
self.redis.set_redis_cache(group, item)
# Note(apply_async‘s args must be a single function.)
self.pool.apply_async(collector, (item,))
LOG.info("finish all tasks assigned.")
except KeyboardInterrupt:
self.pool.terminate()
self.pool.close()
def __init__(self):
self.redis = RedisOperation()
self.redis.connect()
self.pool = ThreadPool(10)
self.pid = os.getpid()
self.pname = multiprocessing.current_process().name
