2014-11-20 02:00:00 +00:00
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from collections import Mapping, MutableMapping
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2014-03-10 05:18:05 +00:00
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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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2014-11-20 02:00:00 +00:00
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from .packages.six import itervalues
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2014-03-10 05:18:05 +00:00
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2014-11-20 02:00:00 +00:00
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__all__ = ['RecentlyUsedContainer', 'HTTPHeaderDict']
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2014-03-10 05:18:05 +00:00
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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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# under Python 2, this copies the list of values twice :-|
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values = list(self._container.values())
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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 self._container.keys()
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2014-11-20 02:00:00 +00:00
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class HTTPHeaderDict(MutableMapping):
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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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If you want to access the raw headers with their original casing
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for debugging purposes you can access the private ``._data`` attribute
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which is a normal python ``dict`` that maps the case-insensitive key to a
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list of tuples stored as (case-sensitive-original-name, value). Using the
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structure from above as our example:
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>>> headers._data
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{'set-cookie': [('Set-Cookie', 'foo=bar'), ('set-cookie', 'baz=quxx')],
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'content-length': [('content-length', '7')]}
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"""
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def __init__(self, headers=None, **kwargs):
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self._data = {}
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if headers is None:
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headers = {}
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self.update(headers, **kwargs)
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def add(self, key, value):
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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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self._data.setdefault(key.lower(), []).append((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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return self[key].split(', ') if key in self else []
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def copy(self):
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h = HTTPHeaderDict()
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for key in self._data:
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for rawkey, value in self._data[key]:
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h.add(rawkey, value)
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return h
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def __eq__(self, other):
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if not isinstance(other, Mapping):
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return False
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other = HTTPHeaderDict(other)
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return dict((k1, self[k1]) for k1 in self._data) == \
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dict((k2, other[k2]) for k2 in other._data)
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def __getitem__(self, key):
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values = self._data[key.lower()]
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return ', '.join(value[1] for value in values)
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def __setitem__(self, key, value):
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self._data[key.lower()] = [(key, value)]
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def __delitem__(self, key):
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del self._data[key.lower()]
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def __len__(self):
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return len(self._data)
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def __iter__(self):
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for headers in itervalues(self._data):
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yield headers[0][0]
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def __repr__(self):
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return '%s(%r)' % (self.__class__.__name__, dict(self.items()))
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