本文整理匯總了Python中tornado.netutil.OverrideResolver方法的典型用法代碼示例。如果您正苦於以下問題:Python netutil.OverrideResolver方法的具體用法?Python netutil.OverrideResolver怎麽用?Python netutil.OverrideResolver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tornado.netutil
的用法示例。
在下文中一共展示了netutil.OverrideResolver方法的3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: initialize
# 需要導入模塊: from tornado import netutil [as 別名]
# 或者: from tornado.netutil import OverrideResolver [as 別名]
def initialize(self, io_loop, max_clients=10,
hostname_mapping=None, max_buffer_size=104857600,
resolver=None, defaults=None):
"""Creates a AsyncHTTPClient.
Only a single AsyncHTTPClient instance exists per IOLoop
in order to provide limitations on the number of pending connections.
force_instance=True may be used to suppress this behavior.
max_clients is the number of concurrent requests that can be
in progress. Note that this arguments are only used when the
client is first created, and will be ignored when an existing
client is reused.
hostname_mapping is a dictionary mapping hostnames to IP addresses.
It can be used to make local DNS changes when modifying system-wide
settings like /etc/hosts is not possible or desirable (e.g. in
unittests).
max_buffer_size is the number of bytes that can be read by IOStream. It
defaults to 100mb.
"""
super(SimpleAsyncHTTPClient, self).initialize(io_loop,
defaults=defaults)
self.max_clients = max_clients
self.queue = collections.deque()
self.active = {}
self.max_buffer_size = max_buffer_size
if resolver:
self.resolver = resolver
self.own_resolver = False
else:
self.resolver = Resolver(io_loop=io_loop)
self.own_resolver = True
if hostname_mapping is not None:
self.resolver = OverrideResolver(resolver=self.resolver,
mapping=hostname_mapping)
示例2: initialize
# 需要導入模塊: from tornado import netutil [as 別名]
# 或者: from tornado.netutil import OverrideResolver [as 別名]
def initialize(self, io_loop, max_clients=10,
hostname_mapping=None, max_buffer_size=104857600,
resolver=None, defaults=None, max_header_size=None,
max_body_size=None):
"""Creates a AsyncHTTPClient.
Only a single AsyncHTTPClient instance exists per IOLoop
in order to provide limitations on the number of pending connections.
``force_instance=True`` may be used to suppress this behavior.
Note that because of this implicit reuse, unless ``force_instance``
is used, only the first call to the constructor actually uses
its arguments. It is recommended to use the ``configure`` method
instead of the constructor to ensure that arguments take effect.
``max_clients`` is the number of concurrent requests that can be
in progress; when this limit is reached additional requests will be
queued. Note that time spent waiting in this queue still counts
against the ``request_timeout``.
``hostname_mapping`` is a dictionary mapping hostnames to IP addresses.
It can be used to make local DNS changes when modifying system-wide
settings like ``/etc/hosts`` is not possible or desirable (e.g. in
unittests).
``max_buffer_size`` (default 100MB) is the number of bytes
that can be read into memory at once. ``max_body_size``
(defaults to ``max_buffer_size``) is the largest response body
that the client will accept. Without a
``streaming_callback``, the smaller of these two limits
applies; with a ``streaming_callback`` only ``max_body_size``
does.
.. versionchanged:: 4.2
Added the ``max_body_size`` argument.
"""
super(SimpleAsyncHTTPClient, self).initialize(io_loop,
defaults=defaults)
self.max_clients = max_clients
self.queue = collections.deque()
self.active = {}
self.waiting = {}
self.max_buffer_size = max_buffer_size
self.max_header_size = max_header_size
self.max_body_size = max_body_size
# TCPClient could create a Resolver for us, but we have to do it
# ourselves to support hostname_mapping.
if resolver:
self.resolver = resolver
self.own_resolver = False
else:
self.resolver = Resolver(io_loop=io_loop)
self.own_resolver = True
if hostname_mapping is not None:
self.resolver = OverrideResolver(resolver=self.resolver,
mapping=hostname_mapping)
self.tcp_client = TCPClient(resolver=self.resolver, io_loop=io_loop)
示例3: initialize
# 需要導入模塊: from tornado import netutil [as 別名]
# 或者: from tornado.netutil import OverrideResolver [as 別名]
def initialize(self, max_clients=10,
hostname_mapping=None, max_buffer_size=104857600,
resolver=None, defaults=None, max_header_size=None,
max_body_size=None):
"""Creates a AsyncHTTPClient.
Only a single AsyncHTTPClient instance exists per IOLoop
in order to provide limitations on the number of pending connections.
``force_instance=True`` may be used to suppress this behavior.
Note that because of this implicit reuse, unless ``force_instance``
is used, only the first call to the constructor actually uses
its arguments. It is recommended to use the ``configure`` method
instead of the constructor to ensure that arguments take effect.
``max_clients`` is the number of concurrent requests that can be
in progress; when this limit is reached additional requests will be
queued. Note that time spent waiting in this queue still counts
against the ``request_timeout``.
``hostname_mapping`` is a dictionary mapping hostnames to IP addresses.
It can be used to make local DNS changes when modifying system-wide
settings like ``/etc/hosts`` is not possible or desirable (e.g. in
unittests).
``max_buffer_size`` (default 100MB) is the number of bytes
that can be read into memory at once. ``max_body_size``
(defaults to ``max_buffer_size``) is the largest response body
that the client will accept. Without a
``streaming_callback``, the smaller of these two limits
applies; with a ``streaming_callback`` only ``max_body_size``
does.
.. versionchanged:: 4.2
Added the ``max_body_size`` argument.
"""
super(SimpleAsyncHTTPClient, self).initialize(defaults=defaults)
self.max_clients = max_clients
self.queue = collections.deque()
self.active = {}
self.waiting = {}
self.max_buffer_size = max_buffer_size
self.max_header_size = max_header_size
self.max_body_size = max_body_size
# TCPClient could create a Resolver for us, but we have to do it
# ourselves to support hostname_mapping.
if resolver:
self.resolver = resolver
self.own_resolver = False
else:
self.resolver = Resolver()
self.own_resolver = True
if hostname_mapping is not None:
self.resolver = OverrideResolver(resolver=self.resolver,
mapping=hostname_mapping)
self.tcp_client = TCPClient(resolver=self.resolver)