def close(self):
for job in self.jobs:
logger.info(' + Unload %s' % job.id)
self.collection.update({'_id': job.id},
{"$set": {
'loaded': False
}}, True)
MongoDBJobStore.close(self)
def __init__(self,
database='canopsis',
collection='objects',
connection=None,
pickle_protocol=pickle.HIGHEST_PROTOCOL,
**connect_args):
MongoDBJobStore.__init__(self,
database=database,
collection=collection,
connection=connection,
pickle_protocol=pickle_protocol)
def start(config={}):
# params init
mongo_host = config.get('host', SETTING['host'])
mongo_port = config.get('port', SETTING['port'])
db = pymongo.Connection(mongo_host, mongo_port)
store = MongoDBJobStore(connection=db)
# create schedudler and run
scheduler = Scheduler(daemonic=False)
scheduler.start()
scheduler.add_jobstore(store, 'mongo')
# add cron jobs
scheduler.add_cron_job(monitor_cron_job,
hour='0-23',
minute="0",
second="0",
jobstore='mongo')
def setup_class(cls):
if not MongoDBJobStore:
raise SkipTest
cls.jobstore = MongoDBJobStore(database='apscheduler_unittest')
def __init__(self, database='canopsis', collection='objects',connection=None, pickle_protocol=pickle.HIGHEST_PROTOCOL,**connect_args): MongoDBJobStore.__init__(self,database=database, collection=collection,connection=connection, pickle_protocol=pickle_protocol)
def close(self):
for job in self.jobs:
logger.info(' + Unload %s' % job.id)
self.collection.update({'_id':job.id},{"$set":{'loaded':False}},True)
MongoDBJobStore.close(self)
schedudler.start()
上面通过装饰器定义了cron job，可以通过函数scheduler.add_cron_job添加，用装饰器更方便。Scheduler构造函数中传入daemonic参数，表示执行线程是非守护的，在Schduler的文档中推荐使用非守护线程
在添加job时还有一个比较重要的参数max_instances，指定一个job的并发实例数，默认值是1。默认情况下，如果一个job准备执行，但是该job的前一个实例尚未执行完，则后一个job会失败，可以通过这个参数来改变这种情况。
APScheduler提供了jobstore用于存储job的执行信息，默认使用的是RAMJobStore，还提供了SQLAlchemyJobStore、ShelveJobStore和MongoDBJobStore。APScheduler允许同时使用多个jobstore，通过别名（alias）区分，在添加job时需要指定具体的jobstore的别名，否则使用的是别名是default的jobstore，即RAMJobStore。下面以MongoDBJobStore举例说明。
[python] view plain copy print?
import pymongo
from apscheduler.scheduler import Scheduler
from apscheduler.jobstores.mongodb_store import MongoDBJobStore
import time
sched = Scheduler(daemonic = False)
mongo = pymongo.Connection(host='127.0.0.1', port=27017)
store = MongoDBJobStore(connection=mongo)
sched.add_jobstore(store, 'mongo') # 别名是mongo
@sched.cron_schedule(second='*', day_of_week='0-4', hour='9-12,13-15', jobstore='mongo') # 向别名为mongo的jobstore添加job
def job():
print 'a job'
time.sleep(1)
sched.start()
注意start必须在添加job动作之后调用，否则会抛错。默认会把job信息保存在apscheduler数据库下的jobs表：
[plain] view plain copy print?
> db.jobs.findOne()
{
"_id" : ObjectId("502202d1443c1557fa8b8d66"),
"runs" : 20,
"name" : "job",
def make_jobstore():
if not MongoDBJobStore:
raise SkipTest
return MongoDBJobStore(database='apscheduler_unittest')
