本文整理匯總了Python中gluon.current方法的典型用法代碼示例。如果您正苦於以下問題：Python gluon.current方法的具體用法？Python gluon.current怎麽用？Python gluon.current使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類gluon的用法示例。
在下文中一共展示了gluon.current方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: __call__
# 需要導入模塊: import gluon [as 別名]
# 或者: from gluon import current [as 別名]
def __call__(self):
from gluon import current
user_agent = current.request.user_agent()
if user_agent.is_mobile:
items = current.response.view.split('.')
items.insert(-1, 'mobile')
current.response.view = '.'.join(items)
return self.func() 示例2: __init__
# 需要導入模塊: import gluon [as 別名]
# 或者: from gluon import current [as 別名]
def __init__(self, db, tasks=None, migrate=True,
worker_name=None, group_names=None, heartbeat=HEARTBEAT,
max_empty_runs=0, discard_results=False, utc_time=False,
redis_conn=None, mode=1):
"""
Highly-experimental coordination with redis
Takes all args from Scheduler except redis_conn which
must be something closer to a StrictRedis instance.
My only regret - and the reason why I kept this under the hood for a
while - is that it's hard to hook up in web2py to something happening
right after the commit to a table, which will enable this version of the
scheduler to process "immediate" tasks right away instead of waiting a
few seconds (see FIXME in queue_task())
mode is reserved for future usage patterns.
Right now it moves the coordination (which is the most intensive
routine in the scheduler in matters of IPC) of workers to redis.
I'd like to have incrementally redis-backed modes of operations,
such as e.g.:
- 1: IPC through redis (which is the current implementation)
- 2: Store task results in redis (which will relieve further pressure
from the db leaving the scheduler_run table empty and possibly
keep things smooth as tasks results can be set to expire
after a bit of time)
- 3: Move all the logic for storing and queueing tasks to redis
itself - which means no scheduler_task usage too - and use
the database only as an historical record-bookkeeping
(e.g. for reporting)
As usual, I'm eager to see your comments.
"""
Scheduler.__init__(self, db, tasks=tasks, migrate=migrate,
worker_name=worker_name, group_names=group_names,
heartbeat=heartbeat, max_empty_runs=max_empty_runs,
discard_results=discard_results, utc_time=utc_time)
self.r_server = redis_conn
from gluon import current
self._application = current.request.application or 'appname'