salt分发后，主动将已完成的任务数据推送到redis中，使用redis的生产者模式，进行消息传送
#coding=utf-8
import fnmatch,json,logging
import salt.config
import salt.utils.event
from salt.utils.redis import RedisPool
import sys,os,datetime,random
import multiprocessing,threading
from joi.utils.gobsAPI import PostWeb
logger = logging.getLogger(__name__)
opts = salt.config.client_config('/data/salt/saltstack/etc/salt/master')
r_conn = RedisPool(opts.get('redis_db')).getConn()
lock = threading.Lock()
class RedisQueueDaemon(object):
'''
redis 队列监听器
'''
def __init__(self,r_conn):
self.r_conn = r_conn #redis 连接实例
self.task_queue = 'task:prod:queue' #任务消息队列
def listen_task(self):
'''
监听主函数
'''
while True:
queue_item = self.r_conn.blpop(self.task_queue,0)[1]
print "queue get",queue_item
#self.run_task(queue_item)
t = threading.Thread(target=self.run_task,args=(queue_item,))
t.start()
def run_task(self,info):
'''
执行操作函数
'''
lock.acquire()
info = json.loads(info)
if info['type'] == 'pushTaskData':
task_data = self.getTaskData(info['jid'])
task_data = json.loads(task_data) if task_data else []
logger.info('获取缓存数据：%s' % task_data)
if task_data:
if self.sendTaskData2bs(task_data):
task_data = []
self.setTaskData(info['jid'], task_data)
elif info['type'] == 'setTaskState':
self.setTaskState(info['jid'],info['state'],info['message'])
elif info['type'] == 'setTaskData':
self.setTaskData(info['jid'], info['data'])
lock.release()
def getTaskData(self,jid):
return self.r_conn.hget('task:'+jid,'data')
def setTaskData(self,jid,data):
self.r_conn.hset('task:'+jid,'data',json.dumps(data))
def sendTaskData2bs(self,task_data):
logger.info('发送任务数据到后端...')
logger.info(task_data)
if task_data:
p = PostWeb('/jgapi/verify',task_data,'pushFlowTaskData')
result = p.postRes()
print result
if result['code']:
logger.info('发送成功！')
return True
else:
logger.error('发送失败！')
return False
else:
return True
def setTaskState(self,jid,state,message=''):
logger.info('到后端设置任务【%s】状态' % str(jid))
p = PostWeb('/jgapi/verify',{'code':jid,'state':'success','message':message},'setTaskState')
result = p.postRes()
if result['code']:
logger.info('设置任务【%s】状态成功!' % str(jid))
return True,result
else:
logger.error('设置任务【%s】状态失败!' % str(jid))
return result
def salt_job_listener():
'''
salt job 监听器
'''
sevent = salt.utils.event.get_event(
'master',
sock_dir=opts['sock_dir'],
transport=opts['transport'],
opts=opts)
while True:
ret = sevent.get_event(full=True)
if ret is None:
continue
if fnmatch.fnmatch(ret['tag'], 'salt/job/*/ret/*'):
task_key = 'task:'+ret['data']['jid']
task_state = r_conn.hget(task_key,'state')
task_data = r_conn.hget(task_key,'data')
if task_state:
jid_data = {
'code':ret['data']['jid'],
'project_id':settings.SALT_MASTER_OPTS['project_id'],
'serverip':ret['data']['id'],
'returns':ret['data']['return'],
'name':ret['data']['id'],
'state':'success' if ret['data']['success'] else 'failed',
}
task_data = json.loads(task_data) if task_data else []
task_data.append(jid_data)
logger.info("新增数据：%s" % json.dumps(task_data))
r_conn.lpush('task:prod:queue',json.dumps({'type':'setTaskData','jid':ret['data']['jid'],'data':task_data}))
#r_conn.hset(task_key,'data',json.dumps(task_data))
if task_state == 'running':
if len(task_data)>=1:
logger.info('新增消息到队列：pushTaskData')
r_conn.lpush('task:prod:queue',json.dumps({'jid':ret['data']['jid'],'type':'pushTaskData'}))
else:
logger.info('任务{0}完成，发送剩下的数据到后端...'.format(task_key))
logger.info('新增消息到队列：pushTaskData')
r_conn.lpush('task:prod:queue',json.dumps({'jid':ret['data']['jid'],'type':'pushTaskData'}))
print datetime.datetime.now()
def run():
print 'start redis product queue listerner...'
logger.info('start redis product queue listerner...')
multiprocessing.Process(target=RedisQueueDaemon(r_conn).listen_task,args=()).start()
print 'start salt job listerner...'
logger.info('start salt job listerner...')
multiprocessing.Process(target=salt_job_listener,args=()).start()
'''
p=multiprocessing.Pool(2)
print 'start redis product queue listerner...'
p.apply_async(redis_queue_listenr,())
print 'start salt job listerner...'
p.apply_async(salt_job_listener,())
p.close()
p.join()
''' 
