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singleton.py
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# Copyright (c) 2016 Uber Technologies, Inc.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
from __future__ import (
absolute_import, division, print_function, unicode_literals
)
from threading import local
from . import TChannel as AsyncTChannel
from .errors import SingletonNotPreparedError
class TChannel(object):
"""Maintain a single TChannel instance per-thread."""
tchannel_cls = AsyncTChannel
local = local()
local.tchannel = None
prepared = False
args = None
kwargs = None
@classmethod
def prepare(cls, *args, **kwargs):
"""Set arguments to be used when instantiating a TChannel instance.
Arguments are the same as :py:meth:`tchannel.TChannel.__init__`.
"""
cls.args = args
cls.kwargs = kwargs
cls.prepared = True
@classmethod
def reset(cls, *args, **kwargs):
"""Undo call to prepare, useful for testing."""
cls.local.tchannel = None
cls.args = None
cls.kwargs = None
cls.prepared = False
@classmethod
def get_instance(cls):
"""Get a configured, thread-safe, singleton TChannel instance.
:returns tchannel.TChannel:
"""
if not cls.prepared:
raise SingletonNotPreparedError(
"prepare must be called before get_instance"
)
if hasattr(cls.local, 'tchannel') and cls.local.tchannel is not None:
return cls.local.tchannel
cls.local.tchannel = cls.tchannel_cls(*cls.args, **cls.kwargs)
return cls.local.tchannel