mirror of
https://github.com/SickGear/SickGear.git
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1278 lines
45 KiB
Python
1278 lines
45 KiB
Python
"""``tornado.gen`` is a generator-based interface to make it easier to
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work in an asynchronous environment. Code using the ``gen`` module
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is technically asynchronous, but it is written as a single generator
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instead of a collection of separate functions.
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For example, the following asynchronous handler:
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.. testcode::
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class AsyncHandler(RequestHandler):
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@asynchronous
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def get(self):
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http_client = AsyncHTTPClient()
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http_client.fetch("http://example.com",
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callback=self.on_fetch)
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def on_fetch(self, response):
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do_something_with_response(response)
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self.render("template.html")
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.. testoutput::
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:hide:
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could be written with ``gen`` as:
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.. testcode::
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class GenAsyncHandler(RequestHandler):
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@gen.coroutine
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def get(self):
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http_client = AsyncHTTPClient()
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response = yield http_client.fetch("http://example.com")
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do_something_with_response(response)
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self.render("template.html")
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.. testoutput::
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:hide:
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Most asynchronous functions in Tornado return a `.Future`;
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yielding this object returns its `~.Future.result`.
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You can also yield a list or dict of ``Futures``, which will be
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started at the same time and run in parallel; a list or dict of results will
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be returned when they are all finished:
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.. testcode::
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@gen.coroutine
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def get(self):
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http_client = AsyncHTTPClient()
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response1, response2 = yield [http_client.fetch(url1),
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http_client.fetch(url2)]
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response_dict = yield dict(response3=http_client.fetch(url3),
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response4=http_client.fetch(url4))
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response3 = response_dict['response3']
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response4 = response_dict['response4']
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.. testoutput::
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:hide:
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If the `~functools.singledispatch` library is available (standard in
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Python 3.4, available via the `singledispatch
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<https://pypi.python.org/pypi/singledispatch>`_ package on older
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versions), additional types of objects may be yielded. Tornado includes
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support for ``asyncio.Future`` and Twisted's ``Deferred`` class when
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``tornado.platform.asyncio`` and ``tornado.platform.twisted`` are imported.
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See the `convert_yielded` function to extend this mechanism.
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.. versionchanged:: 3.2
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Dict support added.
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.. versionchanged:: 4.1
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Support added for yielding ``asyncio`` Futures and Twisted Deferreds
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via ``singledispatch``.
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"""
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from __future__ import absolute_import, division, print_function, with_statement
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import collections
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import functools
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import itertools
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import os
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import sys
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import textwrap
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import types
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import weakref
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from tornado.concurrent import Future, TracebackFuture, is_future, chain_future
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from tornado.ioloop import IOLoop
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from tornado.log import app_log
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from tornado import stack_context
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from tornado.util import PY3, raise_exc_info
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try:
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try:
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# py34+
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from functools import singledispatch # type: ignore
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except ImportError:
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from singledispatch import singledispatch # backport
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except ImportError:
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# In most cases, singledispatch is required (to avoid
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# difficult-to-diagnose problems in which the functionality
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# available differs depending on which invisble packages are
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# installed). However, in Google App Engine third-party
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# dependencies are more trouble so we allow this module to be
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# imported without it.
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if 'APPENGINE_RUNTIME' not in os.environ:
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raise
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singledispatch = None
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try:
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try:
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# py35+
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from collections.abc import Generator as GeneratorType # type: ignore
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except ImportError:
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from backports_abc import Generator as GeneratorType # type: ignore
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try:
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# py35+
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from inspect import isawaitable # type: ignore
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except ImportError:
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from backports_abc import isawaitable
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except ImportError:
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if 'APPENGINE_RUNTIME' not in os.environ:
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raise
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from types import GeneratorType
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def isawaitable(x): # type: ignore
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return False
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if PY3:
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import builtins
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else:
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import __builtin__ as builtins
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class KeyReuseError(Exception):
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pass
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class UnknownKeyError(Exception):
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pass
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class LeakedCallbackError(Exception):
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pass
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class BadYieldError(Exception):
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pass
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class ReturnValueIgnoredError(Exception):
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pass
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class TimeoutError(Exception):
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"""Exception raised by ``with_timeout``."""
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def _value_from_stopiteration(e):
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try:
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# StopIteration has a value attribute beginning in py33.
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# So does our Return class.
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return e.value
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except AttributeError:
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pass
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try:
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# Cython backports coroutine functionality by putting the value in
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# e.args[0].
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return e.args[0]
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except (AttributeError, IndexError):
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return None
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def engine(func):
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"""Callback-oriented decorator for asynchronous generators.
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This is an older interface; for new code that does not need to be
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compatible with versions of Tornado older than 3.0 the
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`coroutine` decorator is recommended instead.
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This decorator is similar to `coroutine`, except it does not
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return a `.Future` and the ``callback`` argument is not treated
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specially.
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In most cases, functions decorated with `engine` should take
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a ``callback`` argument and invoke it with their result when
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they are finished. One notable exception is the
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`~tornado.web.RequestHandler` :ref:`HTTP verb methods <verbs>`,
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which use ``self.finish()`` in place of a callback argument.
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"""
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func = _make_coroutine_wrapper(func, replace_callback=False)
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@functools.wraps(func)
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def wrapper(*args, **kwargs):
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future = func(*args, **kwargs)
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def final_callback(future):
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if future.result() is not None:
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raise ReturnValueIgnoredError(
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"@gen.engine functions cannot return values: %r" %
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(future.result(),))
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# The engine interface doesn't give us any way to return
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# errors but to raise them into the stack context.
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# Save the stack context here to use when the Future has resolved.
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future.add_done_callback(stack_context.wrap(final_callback))
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return wrapper
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def coroutine(func, replace_callback=True):
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"""Decorator for asynchronous generators.
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Any generator that yields objects from this module must be wrapped
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in either this decorator or `engine`.
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Coroutines may "return" by raising the special exception
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`Return(value) <Return>`. In Python 3.3+, it is also possible for
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the function to simply use the ``return value`` statement (prior to
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Python 3.3 generators were not allowed to also return values).
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In all versions of Python a coroutine that simply wishes to exit
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early may use the ``return`` statement without a value.
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Functions with this decorator return a `.Future`. Additionally,
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they may be called with a ``callback`` keyword argument, which
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will be invoked with the future's result when it resolves. If the
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coroutine fails, the callback will not be run and an exception
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will be raised into the surrounding `.StackContext`. The
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``callback`` argument is not visible inside the decorated
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function; it is handled by the decorator itself.
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From the caller's perspective, ``@gen.coroutine`` is similar to
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the combination of ``@return_future`` and ``@gen.engine``.
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.. warning::
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When exceptions occur inside a coroutine, the exception
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information will be stored in the `.Future` object. You must
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examine the result of the `.Future` object, or the exception
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may go unnoticed by your code. This means yielding the function
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if called from another coroutine, using something like
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`.IOLoop.run_sync` for top-level calls, or passing the `.Future`
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to `.IOLoop.add_future`.
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"""
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return _make_coroutine_wrapper(func, replace_callback=True)
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# Ties lifetime of runners to their result futures. Github Issue #1769
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# Generators, like any object in Python, must be strong referenced
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# in order to not be cleaned up by the garbage collector. When using
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# coroutines, the Runner object is what strong-refs the inner
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# generator. However, the only item that strong-reffed the Runner
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# was the last Future that the inner generator yielded (via the
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# Future's internal done_callback list). Usually this is enough, but
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# it is also possible for this Future to not have any strong references
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# other than other objects referenced by the Runner object (usually
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# when using other callback patterns and/or weakrefs). In this
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# situation, if a garbage collection ran, a cycle would be detected and
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# Runner objects could be destroyed along with their inner generators
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# and everything in their local scope.
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# This map provides strong references to Runner objects as long as
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# their result future objects also have strong references (typically
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# from the parent coroutine's Runner). This keeps the coroutine's
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# Runner alive.
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_futures_to_runners = weakref.WeakKeyDictionary()
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def _make_coroutine_wrapper(func, replace_callback):
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"""The inner workings of ``@gen.coroutine`` and ``@gen.engine``.
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The two decorators differ in their treatment of the ``callback``
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argument, so we cannot simply implement ``@engine`` in terms of
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``@coroutine``.
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"""
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# On Python 3.5, set the coroutine flag on our generator, to allow it
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# to be used with 'await'.
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wrapped = func
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if hasattr(types, 'coroutine'):
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func = types.coroutine(func)
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@functools.wraps(wrapped)
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def wrapper(*args, **kwargs):
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future = TracebackFuture()
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if replace_callback and 'callback' in kwargs:
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callback = kwargs.pop('callback')
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IOLoop.current().add_future(
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future, lambda future: callback(future.result()))
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try:
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result = func(*args, **kwargs)
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except (Return, StopIteration) as e:
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result = _value_from_stopiteration(e)
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except Exception:
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future.set_exc_info(sys.exc_info())
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return future
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else:
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if isinstance(result, GeneratorType):
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# Inline the first iteration of Runner.run. This lets us
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# avoid the cost of creating a Runner when the coroutine
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# never actually yields, which in turn allows us to
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# use "optional" coroutines in critical path code without
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# performance penalty for the synchronous case.
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try:
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orig_stack_contexts = stack_context._state.contexts
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yielded = next(result)
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if stack_context._state.contexts is not orig_stack_contexts:
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yielded = TracebackFuture()
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yielded.set_exception(
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stack_context.StackContextInconsistentError(
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'stack_context inconsistency (probably caused '
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'by yield within a "with StackContext" block)'))
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except (StopIteration, Return) as e:
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future.set_result(_value_from_stopiteration(e))
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except Exception:
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future.set_exc_info(sys.exc_info())
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else:
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_futures_to_runners[future] = Runner(result, future, yielded)
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try:
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return future
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finally:
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# Subtle memory optimization: if next() raised an exception,
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# the future's exc_info contains a traceback which
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# includes this stack frame. This creates a cycle,
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# which will be collected at the next full GC but has
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# been shown to greatly increase memory usage of
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# benchmarks (relative to the refcount-based scheme
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# used in the absence of cycles). We can avoid the
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# cycle by clearing the local variable after we return it.
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future = None
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future.set_result(result)
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return future
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wrapper.__wrapped__ = wrapped
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wrapper.__tornado_coroutine__ = True
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return wrapper
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def is_coroutine_function(func):
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"""Return whether *func* is a coroutine function, i.e. a function
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wrapped with `~.gen.coroutine`.
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"""
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return getattr(func, '__tornado_coroutine__', False)
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class Return(Exception):
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"""Special exception to return a value from a `coroutine`.
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If this exception is raised, its value argument is used as the
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result of the coroutine::
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@gen.coroutine
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def fetch_json(url):
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response = yield AsyncHTTPClient().fetch(url)
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raise gen.Return(json_decode(response.body))
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In Python 3.3, this exception is no longer necessary: the ``return``
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statement can be used directly to return a value (previously
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``yield`` and ``return`` with a value could not be combined in the
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same function).
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By analogy with the return statement, the value argument is optional,
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but it is never necessary to ``raise gen.Return()``. The ``return``
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statement can be used with no arguments instead.
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"""
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def __init__(self, value=None):
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super(Return, self).__init__()
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self.value = value
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# Cython recognizes subclasses of StopIteration with a .args tuple.
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self.args = (value,)
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class WaitIterator(object):
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"""Provides an iterator to yield the results of futures as they finish.
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Yielding a set of futures like this:
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``results = yield [future1, future2]``
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pauses the coroutine until both ``future1`` and ``future2``
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return, and then restarts the coroutine with the results of both
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futures. If either future is an exception, the expression will
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raise that exception and all the results will be lost.
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If you need to get the result of each future as soon as possible,
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or if you need the result of some futures even if others produce
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errors, you can use ``WaitIterator``::
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wait_iterator = gen.WaitIterator(future1, future2)
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while not wait_iterator.done():
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try:
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result = yield wait_iterator.next()
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except Exception as e:
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print("Error {} from {}".format(e, wait_iterator.current_future))
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else:
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print("Result {} received from {} at {}".format(
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result, wait_iterator.current_future,
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wait_iterator.current_index))
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Because results are returned as soon as they are available the
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output from the iterator *will not be in the same order as the
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input arguments*. If you need to know which future produced the
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current result, you can use the attributes
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``WaitIterator.current_future``, or ``WaitIterator.current_index``
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to get the index of the future from the input list. (if keyword
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arguments were used in the construction of the `WaitIterator`,
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``current_index`` will use the corresponding keyword).
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On Python 3.5, `WaitIterator` implements the async iterator
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protocol, so it can be used with the ``async for`` statement (note
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that in this version the entire iteration is aborted if any value
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raises an exception, while the previous example can continue past
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individual errors)::
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async for result in gen.WaitIterator(future1, future2):
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print("Result {} received from {} at {}".format(
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result, wait_iterator.current_future,
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wait_iterator.current_index))
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.. versionadded:: 4.1
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.. versionchanged:: 4.3
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Added ``async for`` support in Python 3.5.
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"""
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def __init__(self, *args, **kwargs):
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if args and kwargs:
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raise ValueError(
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"You must provide args or kwargs, not both")
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if kwargs:
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self._unfinished = dict((f, k) for (k, f) in kwargs.items())
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futures = list(kwargs.values())
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else:
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self._unfinished = dict((f, i) for (i, f) in enumerate(args))
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futures = args
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self._finished = collections.deque()
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self.current_index = self.current_future = None
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self._running_future = None
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for future in futures:
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future.add_done_callback(self._done_callback)
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def done(self):
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"""Returns True if this iterator has no more results."""
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if self._finished or self._unfinished:
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return False
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# Clear the 'current' values when iteration is done.
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self.current_index = self.current_future = None
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return True
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def next(self):
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"""Returns a `.Future` that will yield the next available result.
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Note that this `.Future` will not be the same object as any of
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the inputs.
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"""
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self._running_future = TracebackFuture()
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if self._finished:
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self._return_result(self._finished.popleft())
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return self._running_future
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def _done_callback(self, done):
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if self._running_future and not self._running_future.done():
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self._return_result(done)
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else:
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self._finished.append(done)
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def _return_result(self, done):
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"""Called set the returned future's state that of the future
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we yielded, and set the current future for the iterator.
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"""
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chain_future(done, self._running_future)
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self.current_future = done
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self.current_index = self._unfinished.pop(done)
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@coroutine
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def __aiter__(self):
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raise Return(self)
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def __anext__(self):
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if self.done():
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# Lookup by name to silence pyflakes on older versions.
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raise getattr(builtins, 'StopAsyncIteration')()
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return self.next()
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|
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class YieldPoint(object):
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"""Base class for objects that may be yielded from the generator.
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.. deprecated:: 4.0
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Use `Futures <.Future>` instead.
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"""
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def start(self, runner):
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"""Called by the runner after the generator has yielded.
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No other methods will be called on this object before ``start``.
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"""
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raise NotImplementedError()
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def is_ready(self):
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"""Called by the runner to determine whether to resume the generator.
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Returns a boolean; may be called more than once.
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"""
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raise NotImplementedError()
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|
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def get_result(self):
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"""Returns the value to use as the result of the yield expression.
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This method will only be called once, and only after `is_ready`
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has returned true.
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"""
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raise NotImplementedError()
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|
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class Callback(YieldPoint):
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"""Returns a callable object that will allow a matching `Wait` to proceed.
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|
The key may be any value suitable for use as a dictionary key, and is
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used to match ``Callbacks`` to their corresponding ``Waits``. The key
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must be unique among outstanding callbacks within a single run of the
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generator function, but may be reused across different runs of the same
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function (so constants generally work fine).
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The callback may be called with zero or one arguments; if an argument
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is given it will be returned by `Wait`.
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.. deprecated:: 4.0
|
|
Use `Futures <.Future>` instead.
|
|
"""
|
|
def __init__(self, key):
|
|
self.key = key
|
|
|
|
def start(self, runner):
|
|
self.runner = runner
|
|
runner.register_callback(self.key)
|
|
|
|
def is_ready(self):
|
|
return True
|
|
|
|
def get_result(self):
|
|
return self.runner.result_callback(self.key)
|
|
|
|
|
|
class Wait(YieldPoint):
|
|
"""Returns the argument passed to the result of a previous `Callback`.
|
|
|
|
.. deprecated:: 4.0
|
|
Use `Futures <.Future>` instead.
|
|
"""
|
|
def __init__(self, key):
|
|
self.key = key
|
|
|
|
def start(self, runner):
|
|
self.runner = runner
|
|
|
|
def is_ready(self):
|
|
return self.runner.is_ready(self.key)
|
|
|
|
def get_result(self):
|
|
return self.runner.pop_result(self.key)
|
|
|
|
|
|
class WaitAll(YieldPoint):
|
|
"""Returns the results of multiple previous `Callbacks <Callback>`.
|
|
|
|
The argument is a sequence of `Callback` keys, and the result is
|
|
a list of results in the same order.
|
|
|
|
`WaitAll` is equivalent to yielding a list of `Wait` objects.
|
|
|
|
.. deprecated:: 4.0
|
|
Use `Futures <.Future>` instead.
|
|
"""
|
|
def __init__(self, keys):
|
|
self.keys = keys
|
|
|
|
def start(self, runner):
|
|
self.runner = runner
|
|
|
|
def is_ready(self):
|
|
return all(self.runner.is_ready(key) for key in self.keys)
|
|
|
|
def get_result(self):
|
|
return [self.runner.pop_result(key) for key in self.keys]
|
|
|
|
|
|
def Task(func, *args, **kwargs):
|
|
"""Adapts a callback-based asynchronous function for use in coroutines.
|
|
|
|
Takes a function (and optional additional arguments) and runs it with
|
|
those arguments plus a ``callback`` keyword argument. The argument passed
|
|
to the callback is returned as the result of the yield expression.
|
|
|
|
.. versionchanged:: 4.0
|
|
``gen.Task`` is now a function that returns a `.Future`, instead of
|
|
a subclass of `YieldPoint`. It still behaves the same way when
|
|
yielded.
|
|
"""
|
|
future = Future()
|
|
|
|
def handle_exception(typ, value, tb):
|
|
if future.done():
|
|
return False
|
|
future.set_exc_info((typ, value, tb))
|
|
return True
|
|
|
|
def set_result(result):
|
|
if future.done():
|
|
return
|
|
future.set_result(result)
|
|
with stack_context.ExceptionStackContext(handle_exception):
|
|
func(*args, callback=_argument_adapter(set_result), **kwargs)
|
|
return future
|
|
|
|
|
|
class YieldFuture(YieldPoint):
|
|
def __init__(self, future, io_loop=None):
|
|
"""Adapts a `.Future` to the `YieldPoint` interface.
|
|
|
|
.. versionchanged:: 4.1
|
|
The ``io_loop`` argument is deprecated.
|
|
"""
|
|
self.future = future
|
|
self.io_loop = io_loop or IOLoop.current()
|
|
|
|
def start(self, runner):
|
|
if not self.future.done():
|
|
self.runner = runner
|
|
self.key = object()
|
|
runner.register_callback(self.key)
|
|
self.io_loop.add_future(self.future, runner.result_callback(self.key))
|
|
else:
|
|
self.runner = None
|
|
self.result_fn = self.future.result
|
|
|
|
def is_ready(self):
|
|
if self.runner is not None:
|
|
return self.runner.is_ready(self.key)
|
|
else:
|
|
return True
|
|
|
|
def get_result(self):
|
|
if self.runner is not None:
|
|
return self.runner.pop_result(self.key).result()
|
|
else:
|
|
return self.result_fn()
|
|
|
|
|
|
def _contains_yieldpoint(children):
|
|
"""Returns True if ``children`` contains any YieldPoints.
|
|
|
|
``children`` may be a dict or a list, as used by `MultiYieldPoint`
|
|
and `multi_future`.
|
|
"""
|
|
if isinstance(children, dict):
|
|
return any(isinstance(i, YieldPoint) for i in children.values())
|
|
if isinstance(children, list):
|
|
return any(isinstance(i, YieldPoint) for i in children)
|
|
return False
|
|
|
|
|
|
def multi(children, quiet_exceptions=()):
|
|
"""Runs multiple asynchronous operations in parallel.
|
|
|
|
``children`` may either be a list or a dict whose values are
|
|
yieldable objects. ``multi()`` returns a new yieldable
|
|
object that resolves to a parallel structure containing their
|
|
results. If ``children`` is a list, the result is a list of
|
|
results in the same order; if it is a dict, the result is a dict
|
|
with the same keys.
|
|
|
|
That is, ``results = yield multi(list_of_futures)`` is equivalent
|
|
to::
|
|
|
|
results = []
|
|
for future in list_of_futures:
|
|
results.append(yield future)
|
|
|
|
If any children raise exceptions, ``multi()`` will raise the first
|
|
one. All others will be logged, unless they are of types
|
|
contained in the ``quiet_exceptions`` argument.
|
|
|
|
If any of the inputs are `YieldPoints <YieldPoint>`, the returned
|
|
yieldable object is a `YieldPoint`. Otherwise, returns a `.Future`.
|
|
This means that the result of `multi` can be used in a native
|
|
coroutine if and only if all of its children can be.
|
|
|
|
In a ``yield``-based coroutine, it is not normally necessary to
|
|
call this function directly, since the coroutine runner will
|
|
do it automatically when a list or dict is yielded. However,
|
|
it is necessary in ``await``-based coroutines, or to pass
|
|
the ``quiet_exceptions`` argument.
|
|
|
|
This function is available under the names ``multi()`` and ``Multi()``
|
|
for historical reasons.
|
|
|
|
.. versionchanged:: 4.2
|
|
If multiple yieldables fail, any exceptions after the first
|
|
(which is raised) will be logged. Added the ``quiet_exceptions``
|
|
argument to suppress this logging for selected exception types.
|
|
|
|
.. versionchanged:: 4.3
|
|
Replaced the class ``Multi`` and the function ``multi_future``
|
|
with a unified function ``multi``. Added support for yieldables
|
|
other than `YieldPoint` and `.Future`.
|
|
|
|
"""
|
|
if _contains_yieldpoint(children):
|
|
return MultiYieldPoint(children, quiet_exceptions=quiet_exceptions)
|
|
else:
|
|
return multi_future(children, quiet_exceptions=quiet_exceptions)
|
|
|
|
Multi = multi
|
|
|
|
|
|
class MultiYieldPoint(YieldPoint):
|
|
"""Runs multiple asynchronous operations in parallel.
|
|
|
|
This class is similar to `multi`, but it always creates a stack
|
|
context even when no children require it. It is not compatible with
|
|
native coroutines.
|
|
|
|
.. versionchanged:: 4.2
|
|
If multiple ``YieldPoints`` fail, any exceptions after the first
|
|
(which is raised) will be logged. Added the ``quiet_exceptions``
|
|
argument to suppress this logging for selected exception types.
|
|
|
|
.. versionchanged:: 4.3
|
|
Renamed from ``Multi`` to ``MultiYieldPoint``. The name ``Multi``
|
|
remains as an alias for the equivalent `multi` function.
|
|
|
|
.. deprecated:: 4.3
|
|
Use `multi` instead.
|
|
"""
|
|
def __init__(self, children, quiet_exceptions=()):
|
|
self.keys = None
|
|
if isinstance(children, dict):
|
|
self.keys = list(children.keys())
|
|
children = children.values()
|
|
self.children = []
|
|
for i in children:
|
|
if not isinstance(i, YieldPoint):
|
|
i = convert_yielded(i)
|
|
if is_future(i):
|
|
i = YieldFuture(i)
|
|
self.children.append(i)
|
|
assert all(isinstance(i, YieldPoint) for i in self.children)
|
|
self.unfinished_children = set(self.children)
|
|
self.quiet_exceptions = quiet_exceptions
|
|
|
|
def start(self, runner):
|
|
for i in self.children:
|
|
i.start(runner)
|
|
|
|
def is_ready(self):
|
|
finished = list(itertools.takewhile(
|
|
lambda i: i.is_ready(), self.unfinished_children))
|
|
self.unfinished_children.difference_update(finished)
|
|
return not self.unfinished_children
|
|
|
|
def get_result(self):
|
|
result_list = []
|
|
exc_info = None
|
|
for f in self.children:
|
|
try:
|
|
result_list.append(f.get_result())
|
|
except Exception as e:
|
|
if exc_info is None:
|
|
exc_info = sys.exc_info()
|
|
else:
|
|
if not isinstance(e, self.quiet_exceptions):
|
|
app_log.error("Multiple exceptions in yield list",
|
|
exc_info=True)
|
|
if exc_info is not None:
|
|
raise_exc_info(exc_info)
|
|
if self.keys is not None:
|
|
return dict(zip(self.keys, result_list))
|
|
else:
|
|
return list(result_list)
|
|
|
|
|
|
def multi_future(children, quiet_exceptions=()):
|
|
"""Wait for multiple asynchronous futures in parallel.
|
|
|
|
This function is similar to `multi`, but does not support
|
|
`YieldPoints <YieldPoint>`.
|
|
|
|
.. versionadded:: 4.0
|
|
|
|
.. versionchanged:: 4.2
|
|
If multiple ``Futures`` fail, any exceptions after the first (which is
|
|
raised) will be logged. Added the ``quiet_exceptions``
|
|
argument to suppress this logging for selected exception types.
|
|
|
|
.. deprecated:: 4.3
|
|
Use `multi` instead.
|
|
"""
|
|
if isinstance(children, dict):
|
|
keys = list(children.keys())
|
|
children = children.values()
|
|
else:
|
|
keys = None
|
|
children = list(map(convert_yielded, children))
|
|
assert all(is_future(i) for i in children)
|
|
unfinished_children = set(children)
|
|
|
|
future = Future()
|
|
if not children:
|
|
future.set_result({} if keys is not None else [])
|
|
|
|
def callback(f):
|
|
unfinished_children.remove(f)
|
|
if not unfinished_children:
|
|
result_list = []
|
|
for f in children:
|
|
try:
|
|
result_list.append(f.result())
|
|
except Exception as e:
|
|
if future.done():
|
|
if not isinstance(e, quiet_exceptions):
|
|
app_log.error("Multiple exceptions in yield list",
|
|
exc_info=True)
|
|
else:
|
|
future.set_exc_info(sys.exc_info())
|
|
if not future.done():
|
|
if keys is not None:
|
|
future.set_result(dict(zip(keys, result_list)))
|
|
else:
|
|
future.set_result(result_list)
|
|
|
|
listening = set()
|
|
for f in children:
|
|
if f not in listening:
|
|
listening.add(f)
|
|
f.add_done_callback(callback)
|
|
return future
|
|
|
|
|
|
def maybe_future(x):
|
|
"""Converts ``x`` into a `.Future`.
|
|
|
|
If ``x`` is already a `.Future`, it is simply returned; otherwise
|
|
it is wrapped in a new `.Future`. This is suitable for use as
|
|
``result = yield gen.maybe_future(f())`` when you don't know whether
|
|
``f()`` returns a `.Future` or not.
|
|
|
|
.. deprecated:: 4.3
|
|
This function only handles ``Futures``, not other yieldable objects.
|
|
Instead of `maybe_future`, check for the non-future result types
|
|
you expect (often just ``None``), and ``yield`` anything unknown.
|
|
"""
|
|
if is_future(x):
|
|
return x
|
|
else:
|
|
fut = Future()
|
|
fut.set_result(x)
|
|
return fut
|
|
|
|
|
|
def with_timeout(timeout, future, io_loop=None, quiet_exceptions=()):
|
|
"""Wraps a `.Future` (or other yieldable object) in a timeout.
|
|
|
|
Raises `TimeoutError` if the input future does not complete before
|
|
``timeout``, which may be specified in any form allowed by
|
|
`.IOLoop.add_timeout` (i.e. a `datetime.timedelta` or an absolute time
|
|
relative to `.IOLoop.time`)
|
|
|
|
If the wrapped `.Future` fails after it has timed out, the exception
|
|
will be logged unless it is of a type contained in ``quiet_exceptions``
|
|
(which may be an exception type or a sequence of types).
|
|
|
|
Does not support `YieldPoint` subclasses.
|
|
|
|
.. versionadded:: 4.0
|
|
|
|
.. versionchanged:: 4.1
|
|
Added the ``quiet_exceptions`` argument and the logging of unhandled
|
|
exceptions.
|
|
|
|
.. versionchanged:: 4.4
|
|
Added support for yieldable objects other than `.Future`.
|
|
"""
|
|
# TODO: allow YieldPoints in addition to other yieldables?
|
|
# Tricky to do with stack_context semantics.
|
|
#
|
|
# It's tempting to optimize this by cancelling the input future on timeout
|
|
# instead of creating a new one, but A) we can't know if we are the only
|
|
# one waiting on the input future, so cancelling it might disrupt other
|
|
# callers and B) concurrent futures can only be cancelled while they are
|
|
# in the queue, so cancellation cannot reliably bound our waiting time.
|
|
future = convert_yielded(future)
|
|
result = Future()
|
|
chain_future(future, result)
|
|
if io_loop is None:
|
|
io_loop = IOLoop.current()
|
|
|
|
def error_callback(future):
|
|
try:
|
|
future.result()
|
|
except Exception as e:
|
|
if not isinstance(e, quiet_exceptions):
|
|
app_log.error("Exception in Future %r after timeout",
|
|
future, exc_info=True)
|
|
|
|
def timeout_callback():
|
|
result.set_exception(TimeoutError("Timeout"))
|
|
# In case the wrapped future goes on to fail, log it.
|
|
future.add_done_callback(error_callback)
|
|
timeout_handle = io_loop.add_timeout(
|
|
timeout, timeout_callback)
|
|
if isinstance(future, Future):
|
|
# We know this future will resolve on the IOLoop, so we don't
|
|
# need the extra thread-safety of IOLoop.add_future (and we also
|
|
# don't care about StackContext here.
|
|
future.add_done_callback(
|
|
lambda future: io_loop.remove_timeout(timeout_handle))
|
|
else:
|
|
# concurrent.futures.Futures may resolve on any thread, so we
|
|
# need to route them back to the IOLoop.
|
|
io_loop.add_future(
|
|
future, lambda future: io_loop.remove_timeout(timeout_handle))
|
|
return result
|
|
|
|
|
|
def sleep(duration):
|
|
"""Return a `.Future` that resolves after the given number of seconds.
|
|
|
|
When used with ``yield`` in a coroutine, this is a non-blocking
|
|
analogue to `time.sleep` (which should not be used in coroutines
|
|
because it is blocking)::
|
|
|
|
yield gen.sleep(0.5)
|
|
|
|
Note that calling this function on its own does nothing; you must
|
|
wait on the `.Future` it returns (usually by yielding it).
|
|
|
|
.. versionadded:: 4.1
|
|
"""
|
|
f = Future()
|
|
IOLoop.current().call_later(duration, lambda: f.set_result(None))
|
|
return f
|
|
|
|
|
|
_null_future = Future()
|
|
_null_future.set_result(None)
|
|
|
|
moment = Future()
|
|
moment.__doc__ = \
|
|
"""A special object which may be yielded to allow the IOLoop to run for
|
|
one iteration.
|
|
|
|
This is not needed in normal use but it can be helpful in long-running
|
|
coroutines that are likely to yield Futures that are ready instantly.
|
|
|
|
Usage: ``yield gen.moment``
|
|
|
|
.. versionadded:: 4.0
|
|
"""
|
|
moment.set_result(None)
|
|
|
|
|
|
class Runner(object):
|
|
"""Internal implementation of `tornado.gen.engine`.
|
|
|
|
Maintains information about pending callbacks and their results.
|
|
|
|
The results of the generator are stored in ``result_future`` (a
|
|
`.TracebackFuture`)
|
|
"""
|
|
def __init__(self, gen, result_future, first_yielded):
|
|
self.gen = gen
|
|
self.result_future = result_future
|
|
self.future = _null_future
|
|
self.yield_point = None
|
|
self.pending_callbacks = None
|
|
self.results = None
|
|
self.running = False
|
|
self.finished = False
|
|
self.had_exception = False
|
|
self.io_loop = IOLoop.current()
|
|
# For efficiency, we do not create a stack context until we
|
|
# reach a YieldPoint (stack contexts are required for the historical
|
|
# semantics of YieldPoints, but not for Futures). When we have
|
|
# done so, this field will be set and must be called at the end
|
|
# of the coroutine.
|
|
self.stack_context_deactivate = None
|
|
if self.handle_yield(first_yielded):
|
|
self.run()
|
|
|
|
def register_callback(self, key):
|
|
"""Adds ``key`` to the list of callbacks."""
|
|
if self.pending_callbacks is None:
|
|
# Lazily initialize the old-style YieldPoint data structures.
|
|
self.pending_callbacks = set()
|
|
self.results = {}
|
|
if key in self.pending_callbacks:
|
|
raise KeyReuseError("key %r is already pending" % (key,))
|
|
self.pending_callbacks.add(key)
|
|
|
|
def is_ready(self, key):
|
|
"""Returns true if a result is available for ``key``."""
|
|
if self.pending_callbacks is None or key not in self.pending_callbacks:
|
|
raise UnknownKeyError("key %r is not pending" % (key,))
|
|
return key in self.results
|
|
|
|
def set_result(self, key, result):
|
|
"""Sets the result for ``key`` and attempts to resume the generator."""
|
|
self.results[key] = result
|
|
if self.yield_point is not None and self.yield_point.is_ready():
|
|
try:
|
|
self.future.set_result(self.yield_point.get_result())
|
|
except:
|
|
self.future.set_exc_info(sys.exc_info())
|
|
self.yield_point = None
|
|
self.run()
|
|
|
|
def pop_result(self, key):
|
|
"""Returns the result for ``key`` and unregisters it."""
|
|
self.pending_callbacks.remove(key)
|
|
return self.results.pop(key)
|
|
|
|
def run(self):
|
|
"""Starts or resumes the generator, running until it reaches a
|
|
yield point that is not ready.
|
|
"""
|
|
if self.running or self.finished:
|
|
return
|
|
try:
|
|
self.running = True
|
|
while True:
|
|
future = self.future
|
|
if not future.done():
|
|
return
|
|
self.future = None
|
|
try:
|
|
orig_stack_contexts = stack_context._state.contexts
|
|
exc_info = None
|
|
|
|
try:
|
|
value = future.result()
|
|
except Exception:
|
|
self.had_exception = True
|
|
exc_info = sys.exc_info()
|
|
|
|
if exc_info is not None:
|
|
yielded = self.gen.throw(*exc_info)
|
|
exc_info = None
|
|
else:
|
|
yielded = self.gen.send(value)
|
|
|
|
if stack_context._state.contexts is not orig_stack_contexts:
|
|
self.gen.throw(
|
|
stack_context.StackContextInconsistentError(
|
|
'stack_context inconsistency (probably caused '
|
|
'by yield within a "with StackContext" block)'))
|
|
except (StopIteration, Return) as e:
|
|
self.finished = True
|
|
self.future = _null_future
|
|
if self.pending_callbacks and not self.had_exception:
|
|
# If we ran cleanly without waiting on all callbacks
|
|
# raise an error (really more of a warning). If we
|
|
# had an exception then some callbacks may have been
|
|
# orphaned, so skip the check in that case.
|
|
raise LeakedCallbackError(
|
|
"finished without waiting for callbacks %r" %
|
|
self.pending_callbacks)
|
|
self.result_future.set_result(_value_from_stopiteration(e))
|
|
self.result_future = None
|
|
self._deactivate_stack_context()
|
|
return
|
|
except Exception:
|
|
self.finished = True
|
|
self.future = _null_future
|
|
self.result_future.set_exc_info(sys.exc_info())
|
|
self.result_future = None
|
|
self._deactivate_stack_context()
|
|
return
|
|
if not self.handle_yield(yielded):
|
|
return
|
|
finally:
|
|
self.running = False
|
|
|
|
def handle_yield(self, yielded):
|
|
# Lists containing YieldPoints require stack contexts;
|
|
# other lists are handled in convert_yielded.
|
|
if _contains_yieldpoint(yielded):
|
|
yielded = multi(yielded)
|
|
|
|
if isinstance(yielded, YieldPoint):
|
|
# YieldPoints are too closely coupled to the Runner to go
|
|
# through the generic convert_yielded mechanism.
|
|
self.future = TracebackFuture()
|
|
|
|
def start_yield_point():
|
|
try:
|
|
yielded.start(self)
|
|
if yielded.is_ready():
|
|
self.future.set_result(
|
|
yielded.get_result())
|
|
else:
|
|
self.yield_point = yielded
|
|
except Exception:
|
|
self.future = TracebackFuture()
|
|
self.future.set_exc_info(sys.exc_info())
|
|
|
|
if self.stack_context_deactivate is None:
|
|
# Start a stack context if this is the first
|
|
# YieldPoint we've seen.
|
|
with stack_context.ExceptionStackContext(
|
|
self.handle_exception) as deactivate:
|
|
self.stack_context_deactivate = deactivate
|
|
|
|
def cb():
|
|
start_yield_point()
|
|
self.run()
|
|
self.io_loop.add_callback(cb)
|
|
return False
|
|
else:
|
|
start_yield_point()
|
|
else:
|
|
try:
|
|
self.future = convert_yielded(yielded)
|
|
except BadYieldError:
|
|
self.future = TracebackFuture()
|
|
self.future.set_exc_info(sys.exc_info())
|
|
|
|
if not self.future.done() or self.future is moment:
|
|
self.io_loop.add_future(
|
|
self.future, lambda f: self.run())
|
|
return False
|
|
return True
|
|
|
|
def result_callback(self, key):
|
|
return stack_context.wrap(_argument_adapter(
|
|
functools.partial(self.set_result, key)))
|
|
|
|
def handle_exception(self, typ, value, tb):
|
|
if not self.running and not self.finished:
|
|
self.future = TracebackFuture()
|
|
self.future.set_exc_info((typ, value, tb))
|
|
self.run()
|
|
return True
|
|
else:
|
|
return False
|
|
|
|
def _deactivate_stack_context(self):
|
|
if self.stack_context_deactivate is not None:
|
|
self.stack_context_deactivate()
|
|
self.stack_context_deactivate = None
|
|
|
|
Arguments = collections.namedtuple('Arguments', ['args', 'kwargs'])
|
|
|
|
|
|
def _argument_adapter(callback):
|
|
"""Returns a function that when invoked runs ``callback`` with one arg.
|
|
|
|
If the function returned by this function is called with exactly
|
|
one argument, that argument is passed to ``callback``. Otherwise
|
|
the args tuple and kwargs dict are wrapped in an `Arguments` object.
|
|
"""
|
|
def wrapper(*args, **kwargs):
|
|
if kwargs or len(args) > 1:
|
|
callback(Arguments(args, kwargs))
|
|
elif args:
|
|
callback(args[0])
|
|
else:
|
|
callback(None)
|
|
return wrapper
|
|
|
|
# Convert Awaitables into Futures. It is unfortunately possible
|
|
# to have infinite recursion here if those Awaitables assume that
|
|
# we're using a different coroutine runner and yield objects
|
|
# we don't understand. If that happens, the solution is to
|
|
# register that runner's yieldable objects with convert_yielded.
|
|
if sys.version_info >= (3, 3):
|
|
exec(textwrap.dedent("""
|
|
@coroutine
|
|
def _wrap_awaitable(x):
|
|
if hasattr(x, '__await__'):
|
|
x = x.__await__()
|
|
return (yield from x)
|
|
"""))
|
|
else:
|
|
# Py2-compatible version for use with Cython.
|
|
# Copied from PEP 380.
|
|
@coroutine
|
|
def _wrap_awaitable(x):
|
|
if hasattr(x, '__await__'):
|
|
_i = x.__await__()
|
|
else:
|
|
_i = iter(x)
|
|
try:
|
|
_y = next(_i)
|
|
except StopIteration as _e:
|
|
_r = _value_from_stopiteration(_e)
|
|
else:
|
|
while 1:
|
|
try:
|
|
_s = yield _y
|
|
except GeneratorExit as _e:
|
|
try:
|
|
_m = _i.close
|
|
except AttributeError:
|
|
pass
|
|
else:
|
|
_m()
|
|
raise _e
|
|
except BaseException as _e:
|
|
_x = sys.exc_info()
|
|
try:
|
|
_m = _i.throw
|
|
except AttributeError:
|
|
raise _e
|
|
else:
|
|
try:
|
|
_y = _m(*_x)
|
|
except StopIteration as _e:
|
|
_r = _value_from_stopiteration(_e)
|
|
break
|
|
else:
|
|
try:
|
|
if _s is None:
|
|
_y = next(_i)
|
|
else:
|
|
_y = _i.send(_s)
|
|
except StopIteration as _e:
|
|
_r = _value_from_stopiteration(_e)
|
|
break
|
|
raise Return(_r)
|
|
|
|
|
|
def convert_yielded(yielded):
|
|
"""Convert a yielded object into a `.Future`.
|
|
|
|
The default implementation accepts lists, dictionaries, and Futures.
|
|
|
|
If the `~functools.singledispatch` library is available, this function
|
|
may be extended to support additional types. For example::
|
|
|
|
@convert_yielded.register(asyncio.Future)
|
|
def _(asyncio_future):
|
|
return tornado.platform.asyncio.to_tornado_future(asyncio_future)
|
|
|
|
.. versionadded:: 4.1
|
|
"""
|
|
# Lists and dicts containing YieldPoints were handled earlier.
|
|
if isinstance(yielded, (list, dict)):
|
|
return multi(yielded)
|
|
elif is_future(yielded):
|
|
return yielded
|
|
elif isawaitable(yielded):
|
|
return _wrap_awaitable(yielded)
|
|
else:
|
|
raise BadYieldError("yielded unknown object %r" % (yielded,))
|
|
|
|
if singledispatch is not None:
|
|
convert_yielded = singledispatch(convert_yielded)
|
|
|
|
try:
|
|
# If we can import t.p.asyncio, do it for its side effect
|
|
# (registering asyncio.Future with convert_yielded).
|
|
# It's ugly to do this here, but it prevents a cryptic
|
|
# infinite recursion in _wrap_awaitable.
|
|
# Note that even with this, asyncio integration is unlikely
|
|
# to work unless the application also configures AsyncIOLoop,
|
|
# but at least the error messages in that case are more
|
|
# comprehensible than a stack overflow.
|
|
import tornado.platform.asyncio
|
|
except ImportError:
|
|
pass
|
|
else:
|
|
# Reference the imported module to make pyflakes happy.
|
|
tornado
|