mirror of
https://github.com/Sneed-Group/Poodletooth-iLand
synced 2024-12-28 22:22:59 -06:00
320 lines
10 KiB
Python
Executable file
320 lines
10 KiB
Python
Executable file
from collections import Mapping, MutableMapping
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try:
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from threading import RLock
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except ImportError: # Platform-specific: No threads available
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class RLock:
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def __enter__(self):
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pass
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def __exit__(self, exc_type, exc_value, traceback):
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pass
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try: # Python 2.7+
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from collections import OrderedDict
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except ImportError:
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from .packages.ordered_dict import OrderedDict
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from .packages.six import iterkeys, itervalues, PY3
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__all__ = ['RecentlyUsedContainer', 'HTTPHeaderDict']
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_Null = object()
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class RecentlyUsedContainer(MutableMapping):
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"""
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Provides a thread-safe dict-like container which maintains up to
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``maxsize`` keys while throwing away the least-recently-used keys beyond
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``maxsize``.
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:param maxsize:
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Maximum number of recent elements to retain.
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:param dispose_func:
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Every time an item is evicted from the container,
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``dispose_func(value)`` is called. Callback which will get called
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"""
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ContainerCls = OrderedDict
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def __init__(self, maxsize=10, dispose_func=None):
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self._maxsize = maxsize
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self.dispose_func = dispose_func
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self._container = self.ContainerCls()
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self.lock = RLock()
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def __getitem__(self, key):
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# Re-insert the item, moving it to the end of the eviction line.
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with self.lock:
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item = self._container.pop(key)
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self._container[key] = item
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return item
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def __setitem__(self, key, value):
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evicted_value = _Null
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with self.lock:
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# Possibly evict the existing value of 'key'
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evicted_value = self._container.get(key, _Null)
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self._container[key] = value
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# If we didn't evict an existing value, we might have to evict the
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# least recently used item from the beginning of the container.
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if len(self._container) > self._maxsize:
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_key, evicted_value = self._container.popitem(last=False)
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if self.dispose_func and evicted_value is not _Null:
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self.dispose_func(evicted_value)
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def __delitem__(self, key):
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with self.lock:
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value = self._container.pop(key)
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if self.dispose_func:
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self.dispose_func(value)
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def __len__(self):
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with self.lock:
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return len(self._container)
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def __iter__(self):
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raise NotImplementedError('Iteration over this class is unlikely to be threadsafe.')
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def clear(self):
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with self.lock:
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# Copy pointers to all values, then wipe the mapping
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values = list(itervalues(self._container))
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self._container.clear()
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if self.dispose_func:
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for value in values:
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self.dispose_func(value)
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def keys(self):
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with self.lock:
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return list(iterkeys(self._container))
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_dict_setitem = dict.__setitem__
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_dict_getitem = dict.__getitem__
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_dict_delitem = dict.__delitem__
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_dict_contains = dict.__contains__
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_dict_setdefault = dict.setdefault
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class HTTPHeaderDict(dict):
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"""
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:param headers:
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An iterable of field-value pairs. Must not contain multiple field names
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when compared case-insensitively.
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:param kwargs:
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Additional field-value pairs to pass in to ``dict.update``.
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A ``dict`` like container for storing HTTP Headers.
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Field names are stored and compared case-insensitively in compliance with
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RFC 7230. Iteration provides the first case-sensitive key seen for each
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case-insensitive pair.
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Using ``__setitem__`` syntax overwrites fields that compare equal
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case-insensitively in order to maintain ``dict``'s api. For fields that
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compare equal, instead create a new ``HTTPHeaderDict`` and use ``.add``
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in a loop.
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If multiple fields that are equal case-insensitively are passed to the
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constructor or ``.update``, the behavior is undefined and some will be
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lost.
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>>> headers = HTTPHeaderDict()
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>>> headers.add('Set-Cookie', 'foo=bar')
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>>> headers.add('set-cookie', 'baz=quxx')
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>>> headers['content-length'] = '7'
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>>> headers['SET-cookie']
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'foo=bar, baz=quxx'
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>>> headers['Content-Length']
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'7'
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"""
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def __init__(self, headers=None, **kwargs):
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dict.__init__(self)
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if headers is not None:
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if isinstance(headers, HTTPHeaderDict):
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self._copy_from(headers)
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else:
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self.extend(headers)
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if kwargs:
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self.extend(kwargs)
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def __setitem__(self, key, val):
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return _dict_setitem(self, key.lower(), (key, val))
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def __getitem__(self, key):
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val = _dict_getitem(self, key.lower())
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return ', '.join(val[1:])
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def __delitem__(self, key):
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return _dict_delitem(self, key.lower())
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def __contains__(self, key):
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return _dict_contains(self, key.lower())
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def __eq__(self, other):
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if not isinstance(other, Mapping) and not hasattr(other, 'keys'):
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return False
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if not isinstance(other, type(self)):
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other = type(self)(other)
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return dict((k1, self[k1]) for k1 in self) == dict((k2, other[k2]) for k2 in other)
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def __ne__(self, other):
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return not self.__eq__(other)
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values = MutableMapping.values
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get = MutableMapping.get
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update = MutableMapping.update
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if not PY3: # Python 2
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iterkeys = MutableMapping.iterkeys
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itervalues = MutableMapping.itervalues
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__marker = object()
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def pop(self, key, default=__marker):
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'''D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
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If key is not found, d is returned if given, otherwise KeyError is raised.
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'''
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# Using the MutableMapping function directly fails due to the private marker.
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# Using ordinary dict.pop would expose the internal structures.
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# So let's reinvent the wheel.
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try:
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value = self[key]
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except KeyError:
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if default is self.__marker:
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raise
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return default
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else:
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del self[key]
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return value
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def discard(self, key):
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try:
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del self[key]
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except KeyError:
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pass
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def add(self, key, val):
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"""Adds a (name, value) pair, doesn't overwrite the value if it already
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exists.
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>>> headers = HTTPHeaderDict(foo='bar')
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>>> headers.add('Foo', 'baz')
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>>> headers['foo']
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'bar, baz'
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"""
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key_lower = key.lower()
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new_vals = key, val
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# Keep the common case aka no item present as fast as possible
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vals = _dict_setdefault(self, key_lower, new_vals)
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if new_vals is not vals:
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# new_vals was not inserted, as there was a previous one
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if isinstance(vals, list):
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# If already several items got inserted, we have a list
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vals.append(val)
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else:
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# vals should be a tuple then, i.e. only one item so far
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# Need to convert the tuple to list for further extension
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_dict_setitem(self, key_lower, [vals[0], vals[1], val])
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def extend(*args, **kwargs):
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"""Generic import function for any type of header-like object.
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Adapted version of MutableMapping.update in order to insert items
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with self.add instead of self.__setitem__
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"""
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if len(args) > 2:
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raise TypeError("update() takes at most 2 positional "
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"arguments ({} given)".format(len(args)))
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elif not args:
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raise TypeError("update() takes at least 1 argument (0 given)")
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self = args[0]
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other = args[1] if len(args) >= 2 else ()
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if isinstance(other, Mapping):
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for key in other:
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self.add(key, other[key])
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elif hasattr(other, "keys"):
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for key in other.keys():
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self.add(key, other[key])
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else:
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for key, value in other:
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self.add(key, value)
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for key, value in kwargs.items():
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self.add(key, value)
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def getlist(self, key):
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"""Returns a list of all the values for the named field. Returns an
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empty list if the key doesn't exist."""
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try:
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vals = _dict_getitem(self, key.lower())
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except KeyError:
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return []
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else:
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if isinstance(vals, tuple):
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return [vals[1]]
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else:
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return vals[1:]
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# Backwards compatibility for httplib
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getheaders = getlist
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getallmatchingheaders = getlist
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iget = getlist
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def __repr__(self):
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return "%s(%s)" % (type(self).__name__, dict(self.itermerged()))
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def _copy_from(self, other):
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for key in other:
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val = _dict_getitem(other, key)
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if isinstance(val, list):
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# Don't need to convert tuples
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val = list(val)
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_dict_setitem(self, key, val)
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def copy(self):
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clone = type(self)()
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clone._copy_from(self)
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return clone
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def iteritems(self):
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"""Iterate over all header lines, including duplicate ones."""
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for key in self:
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vals = _dict_getitem(self, key)
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for val in vals[1:]:
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yield vals[0], val
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def itermerged(self):
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"""Iterate over all headers, merging duplicate ones together."""
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for key in self:
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val = _dict_getitem(self, key)
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yield val[0], ', '.join(val[1:])
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def items(self):
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return list(self.iteritems())
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@classmethod
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def from_httplib(cls, message, duplicates=('set-cookie',)): # Python 2
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"""Read headers from a Python 2 httplib message object."""
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ret = cls(message.items())
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# ret now contains only the last header line for each duplicate.
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# Importing with all duplicates would be nice, but this would
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# mean to repeat most of the raw parsing already done, when the
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# message object was created. Extracting only the headers of interest
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# separately, the cookies, should be faster and requires less
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# extra code.
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for key in duplicates:
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ret.discard(key)
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for val in message.getheaders(key):
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ret.add(key, val)
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return ret
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