473 lines
16 KiB
Python
473 lines
16 KiB
Python
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"""Miscellaneous utility functions and classes.
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This module is used internally by Tornado. It is not necessarily expected
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that the functions and classes defined here will be useful to other
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applications, but they are documented here in case they are.
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The one public-facing part of this module is the `Configurable` class
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and its `~Configurable.configure` method, which becomes a part of the
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interface of its subclasses, including `.AsyncHTTPClient`, `.IOLoop`,
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and `.Resolver`.
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"""
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import array
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import atexit
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from inspect import getfullargspec
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import os
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import re
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import typing
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import zlib
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from typing import (
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Any,
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Optional,
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Dict,
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Mapping,
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List,
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Tuple,
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Match,
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Callable,
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Type,
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Sequence,
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)
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if typing.TYPE_CHECKING:
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# Additional imports only used in type comments.
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# This lets us make these imports lazy.
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import datetime # noqa: F401
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from types import TracebackType # noqa: F401
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from typing import Union # noqa: F401
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import unittest # noqa: F401
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# Aliases for types that are spelled differently in different Python
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# versions. bytes_type is deprecated and no longer used in Tornado
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# itself but is left in case anyone outside Tornado is using it.
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bytes_type = bytes
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unicode_type = str
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basestring_type = str
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try:
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from sys import is_finalizing
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except ImportError:
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# Emulate it
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def _get_emulated_is_finalizing() -> Callable[[], bool]:
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L = [] # type: List[None]
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atexit.register(lambda: L.append(None))
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def is_finalizing() -> bool:
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# Not referencing any globals here
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return L != []
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return is_finalizing
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is_finalizing = _get_emulated_is_finalizing()
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class TimeoutError(Exception):
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"""Exception raised by `.with_timeout` and `.IOLoop.run_sync`.
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.. versionchanged:: 5.0:
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Unified ``tornado.gen.TimeoutError`` and
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``tornado.ioloop.TimeoutError`` as ``tornado.util.TimeoutError``.
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Both former names remain as aliases.
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"""
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class ObjectDict(Dict[str, Any]):
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"""Makes a dictionary behave like an object, with attribute-style access.
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"""
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def __getattr__(self, name: str) -> Any:
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try:
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return self[name]
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except KeyError:
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raise AttributeError(name)
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def __setattr__(self, name: str, value: Any) -> None:
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self[name] = value
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class GzipDecompressor(object):
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"""Streaming gzip decompressor.
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The interface is like that of `zlib.decompressobj` (without some of the
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optional arguments, but it understands gzip headers and checksums.
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"""
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def __init__(self) -> None:
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# Magic parameter makes zlib module understand gzip header
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# http://stackoverflow.com/questions/1838699/how-can-i-decompress-a-gzip-stream-with-zlib
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# This works on cpython and pypy, but not jython.
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self.decompressobj = zlib.decompressobj(16 + zlib.MAX_WBITS)
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def decompress(self, value: bytes, max_length: int = 0) -> bytes:
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"""Decompress a chunk, returning newly-available data.
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Some data may be buffered for later processing; `flush` must
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be called when there is no more input data to ensure that
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all data was processed.
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If ``max_length`` is given, some input data may be left over
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in ``unconsumed_tail``; you must retrieve this value and pass
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it back to a future call to `decompress` if it is not empty.
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"""
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return self.decompressobj.decompress(value, max_length)
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@property
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def unconsumed_tail(self) -> bytes:
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"""Returns the unconsumed portion left over
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"""
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return self.decompressobj.unconsumed_tail
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def flush(self) -> bytes:
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"""Return any remaining buffered data not yet returned by decompress.
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Also checks for errors such as truncated input.
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No other methods may be called on this object after `flush`.
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"""
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return self.decompressobj.flush()
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def import_object(name: str) -> Any:
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"""Imports an object by name.
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``import_object('x')`` is equivalent to ``import x``.
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``import_object('x.y.z')`` is equivalent to ``from x.y import z``.
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>>> import tornado.escape
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>>> import_object('tornado.escape') is tornado.escape
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True
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>>> import_object('tornado.escape.utf8') is tornado.escape.utf8
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True
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>>> import_object('tornado') is tornado
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True
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>>> import_object('tornado.missing_module')
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Traceback (most recent call last):
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...
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ImportError: No module named missing_module
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"""
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if name.count(".") == 0:
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return __import__(name)
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parts = name.split(".")
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obj = __import__(".".join(parts[:-1]), fromlist=[parts[-1]])
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try:
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return getattr(obj, parts[-1])
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except AttributeError:
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raise ImportError("No module named %s" % parts[-1])
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def exec_in(code: Any, glob: Dict[str, Any], loc: Mapping[str, Any] = None) -> None:
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if isinstance(code, str):
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# exec(string) inherits the caller's future imports; compile
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# the string first to prevent that.
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code = compile(code, "<string>", "exec", dont_inherit=True)
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exec(code, glob, loc)
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def raise_exc_info(
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exc_info, # type: Tuple[Optional[type], Optional[BaseException], Optional[TracebackType]]
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):
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# type: (...) -> typing.NoReturn
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#
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# This function's type annotation must use comments instead of
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# real annotations because typing.NoReturn does not exist in
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# python 3.5's typing module. The formatting is funky because this
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# is apparently what flake8 wants.
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try:
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if exc_info[1] is not None:
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raise exc_info[1].with_traceback(exc_info[2])
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else:
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raise TypeError("raise_exc_info called with no exception")
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finally:
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# Clear the traceback reference from our stack frame to
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# minimize circular references that slow down GC.
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exc_info = (None, None, None)
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def errno_from_exception(e: BaseException) -> Optional[int]:
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"""Provides the errno from an Exception object.
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There are cases that the errno attribute was not set so we pull
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the errno out of the args but if someone instantiates an Exception
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without any args you will get a tuple error. So this function
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abstracts all that behavior to give you a safe way to get the
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errno.
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"""
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if hasattr(e, "errno"):
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return e.errno # type: ignore
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elif e.args:
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return e.args[0]
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else:
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return None
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_alphanum = frozenset("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789")
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def _re_unescape_replacement(match: Match[str]) -> str:
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group = match.group(1)
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if group[0] in _alphanum:
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raise ValueError("cannot unescape '\\\\%s'" % group[0])
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return group
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_re_unescape_pattern = re.compile(r"\\(.)", re.DOTALL)
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def re_unescape(s: str) -> str:
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r"""Unescape a string escaped by `re.escape`.
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May raise ``ValueError`` for regular expressions which could not
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have been produced by `re.escape` (for example, strings containing
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``\d`` cannot be unescaped).
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.. versionadded:: 4.4
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"""
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return _re_unescape_pattern.sub(_re_unescape_replacement, s)
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class Configurable(object):
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"""Base class for configurable interfaces.
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A configurable interface is an (abstract) class whose constructor
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acts as a factory function for one of its implementation subclasses.
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The implementation subclass as well as optional keyword arguments to
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its initializer can be set globally at runtime with `configure`.
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By using the constructor as the factory method, the interface
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looks like a normal class, `isinstance` works as usual, etc. This
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pattern is most useful when the choice of implementation is likely
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to be a global decision (e.g. when `~select.epoll` is available,
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always use it instead of `~select.select`), or when a
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previously-monolithic class has been split into specialized
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subclasses.
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Configurable subclasses must define the class methods
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`configurable_base` and `configurable_default`, and use the instance
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method `initialize` instead of ``__init__``.
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.. versionchanged:: 5.0
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It is now possible for configuration to be specified at
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multiple levels of a class hierarchy.
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"""
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# Type annotations on this class are mostly done with comments
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# because they need to refer to Configurable, which isn't defined
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# until after the class definition block. These can use regular
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# annotations when our minimum python version is 3.7.
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#
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# There may be a clever way to use generics here to get more
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# precise types (i.e. for a particular Configurable subclass T,
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# all the types are subclasses of T, not just Configurable).
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__impl_class = None # type: Optional[Type[Configurable]]
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__impl_kwargs = None # type: Dict[str, Any]
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def __new__(cls, *args: Any, **kwargs: Any) -> Any:
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base = cls.configurable_base()
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init_kwargs = {} # type: Dict[str, Any]
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if cls is base:
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impl = cls.configured_class()
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if base.__impl_kwargs:
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init_kwargs.update(base.__impl_kwargs)
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else:
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impl = cls
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init_kwargs.update(kwargs)
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if impl.configurable_base() is not base:
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# The impl class is itself configurable, so recurse.
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return impl(*args, **init_kwargs)
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instance = super(Configurable, cls).__new__(impl)
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# initialize vs __init__ chosen for compatibility with AsyncHTTPClient
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# singleton magic. If we get rid of that we can switch to __init__
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# here too.
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instance.initialize(*args, **init_kwargs)
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return instance
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@classmethod
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def configurable_base(cls):
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# type: () -> Type[Configurable]
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"""Returns the base class of a configurable hierarchy.
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This will normally return the class in which it is defined.
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(which is *not* necessarily the same as the ``cls`` classmethod
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parameter).
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"""
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raise NotImplementedError()
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@classmethod
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def configurable_default(cls):
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# type: () -> Type[Configurable]
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"""Returns the implementation class to be used if none is configured."""
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raise NotImplementedError()
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def _initialize(self) -> None:
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pass
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initialize = _initialize # type: Callable[..., None]
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"""Initialize a `Configurable` subclass instance.
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Configurable classes should use `initialize` instead of ``__init__``.
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.. versionchanged:: 4.2
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Now accepts positional arguments in addition to keyword arguments.
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"""
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@classmethod
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def configure(cls, impl, **kwargs):
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# type: (Union[None, str, Type[Configurable]], Any) -> None
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"""Sets the class to use when the base class is instantiated.
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Keyword arguments will be saved and added to the arguments passed
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to the constructor. This can be used to set global defaults for
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some parameters.
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"""
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base = cls.configurable_base()
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if isinstance(impl, str):
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impl = typing.cast(Type[Configurable], import_object(impl))
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if impl is not None and not issubclass(impl, cls):
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raise ValueError("Invalid subclass of %s" % cls)
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base.__impl_class = impl
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base.__impl_kwargs = kwargs
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@classmethod
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def configured_class(cls):
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# type: () -> Type[Configurable]
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"""Returns the currently configured class."""
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base = cls.configurable_base()
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# Manually mangle the private name to see whether this base
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# has been configured (and not another base higher in the
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# hierarchy).
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if base.__dict__.get("_Configurable__impl_class") is None:
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base.__impl_class = cls.configurable_default()
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if base.__impl_class is not None:
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return base.__impl_class
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else:
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# Should be impossible, but mypy wants an explicit check.
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raise ValueError("configured class not found")
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@classmethod
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def _save_configuration(cls):
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# type: () -> Tuple[Optional[Type[Configurable]], Dict[str, Any]]
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base = cls.configurable_base()
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return (base.__impl_class, base.__impl_kwargs)
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@classmethod
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def _restore_configuration(cls, saved):
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# type: (Tuple[Optional[Type[Configurable]], Dict[str, Any]]) -> None
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base = cls.configurable_base()
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base.__impl_class = saved[0]
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base.__impl_kwargs = saved[1]
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class ArgReplacer(object):
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"""Replaces one value in an ``args, kwargs`` pair.
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Inspects the function signature to find an argument by name
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whether it is passed by position or keyword. For use in decorators
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and similar wrappers.
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"""
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def __init__(self, func: Callable, name: str) -> None:
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self.name = name
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try:
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self.arg_pos = self._getargnames(func).index(name) # type: Optional[int]
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except ValueError:
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# Not a positional parameter
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self.arg_pos = None
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def _getargnames(self, func: Callable) -> List[str]:
|
||
|
|
try:
|
||
|
|
return getfullargspec(func).args
|
||
|
|
except TypeError:
|
||
|
|
if hasattr(func, "func_code"):
|
||
|
|
# Cython-generated code has all the attributes needed
|
||
|
|
# by inspect.getfullargspec, but the inspect module only
|
||
|
|
# works with ordinary functions. Inline the portion of
|
||
|
|
# getfullargspec that we need here. Note that for static
|
||
|
|
# functions the @cython.binding(True) decorator must
|
||
|
|
# be used (for methods it works out of the box).
|
||
|
|
code = func.func_code # type: ignore
|
||
|
|
return code.co_varnames[: code.co_argcount]
|
||
|
|
raise
|
||
|
|
|
||
|
|
def get_old_value(
|
||
|
|
self, args: Sequence[Any], kwargs: Dict[str, Any], default: Any = None
|
||
|
|
) -> Any:
|
||
|
|
"""Returns the old value of the named argument without replacing it.
|
||
|
|
|
||
|
|
Returns ``default`` if the argument is not present.
|
||
|
|
"""
|
||
|
|
if self.arg_pos is not None and len(args) > self.arg_pos:
|
||
|
|
return args[self.arg_pos]
|
||
|
|
else:
|
||
|
|
return kwargs.get(self.name, default)
|
||
|
|
|
||
|
|
def replace(
|
||
|
|
self, new_value: Any, args: Sequence[Any], kwargs: Dict[str, Any]
|
||
|
|
) -> Tuple[Any, Sequence[Any], Dict[str, Any]]:
|
||
|
|
"""Replace the named argument in ``args, kwargs`` with ``new_value``.
|
||
|
|
|
||
|
|
Returns ``(old_value, args, kwargs)``. The returned ``args`` and
|
||
|
|
``kwargs`` objects may not be the same as the input objects, or
|
||
|
|
the input objects may be mutated.
|
||
|
|
|
||
|
|
If the named argument was not found, ``new_value`` will be added
|
||
|
|
to ``kwargs`` and None will be returned as ``old_value``.
|
||
|
|
"""
|
||
|
|
if self.arg_pos is not None and len(args) > self.arg_pos:
|
||
|
|
# The arg to replace is passed positionally
|
||
|
|
old_value = args[self.arg_pos]
|
||
|
|
args = list(args) # *args is normally a tuple
|
||
|
|
args[self.arg_pos] = new_value
|
||
|
|
else:
|
||
|
|
# The arg to replace is either omitted or passed by keyword.
|
||
|
|
old_value = kwargs.get(self.name)
|
||
|
|
kwargs[self.name] = new_value
|
||
|
|
return old_value, args, kwargs
|
||
|
|
|
||
|
|
|
||
|
|
def timedelta_to_seconds(td):
|
||
|
|
# type: (datetime.timedelta) -> float
|
||
|
|
"""Equivalent to ``td.total_seconds()`` (introduced in Python 2.7)."""
|
||
|
|
return td.total_seconds()
|
||
|
|
|
||
|
|
|
||
|
|
def _websocket_mask_python(mask: bytes, data: bytes) -> bytes:
|
||
|
|
"""Websocket masking function.
|
||
|
|
|
||
|
|
`mask` is a `bytes` object of length 4; `data` is a `bytes` object of any length.
|
||
|
|
Returns a `bytes` object of the same length as `data` with the mask applied
|
||
|
|
as specified in section 5.3 of RFC 6455.
|
||
|
|
|
||
|
|
This pure-python implementation may be replaced by an optimized version when available.
|
||
|
|
"""
|
||
|
|
mask_arr = array.array("B", mask)
|
||
|
|
unmasked_arr = array.array("B", data)
|
||
|
|
for i in range(len(data)):
|
||
|
|
unmasked_arr[i] = unmasked_arr[i] ^ mask_arr[i % 4]
|
||
|
|
return unmasked_arr.tobytes()
|
||
|
|
|
||
|
|
|
||
|
|
if os.environ.get("TORNADO_NO_EXTENSION") or os.environ.get("TORNADO_EXTENSION") == "0":
|
||
|
|
# These environment variables exist to make it easier to do performance
|
||
|
|
# comparisons; they are not guaranteed to remain supported in the future.
|
||
|
|
_websocket_mask = _websocket_mask_python
|
||
|
|
else:
|
||
|
|
try:
|
||
|
|
from tornado.speedups import websocket_mask as _websocket_mask
|
||
|
|
except ImportError:
|
||
|
|
if os.environ.get("TORNADO_EXTENSION") == "1":
|
||
|
|
raise
|
||
|
|
_websocket_mask = _websocket_mask_python
|
||
|
|
|
||
|
|
|
||
|
|
def doctests():
|
||
|
|
# type: () -> unittest.TestSuite
|
||
|
|
import doctest
|
||
|
|
|
||
|
|
return doctest.DocTestSuite()
|