Current File : //proc/thread-self/root/opt/cloudlinux/venv/lib/python3.11/site-packages/urllib3/_collections.py
from __future__ import annotations
import typing
from collections import OrderedDict
from enum import Enum, auto
from threading import RLock
if typing.TYPE_CHECKING:
# We can only import Protocol if TYPE_CHECKING because it's a development
# dependency, and is not available at runtime.
from typing_extensions import Protocol
class HasGettableStringKeys(Protocol):
def keys(self) -> typing.Iterator[str]:
...
def __getitem__(self, key: str) -> str:
...
__all__ = ["RecentlyUsedContainer", "HTTPHeaderDict"]
# Key type
_KT = typing.TypeVar("_KT")
# Value type
_VT = typing.TypeVar("_VT")
# Default type
_DT = typing.TypeVar("_DT")
ValidHTTPHeaderSource = typing.Union[
"HTTPHeaderDict",
typing.Mapping[str, str],
typing.Iterable[typing.Tuple[str, str]],
"HasGettableStringKeys",
]
class _Sentinel(Enum):
not_passed = auto()
def ensure_can_construct_http_header_dict(
potential: object,
) -> ValidHTTPHeaderSource | None:
if isinstance(potential, HTTPHeaderDict):
return potential
elif isinstance(potential, typing.Mapping):
# Full runtime checking of the contents of a Mapping is expensive, so for the
# purposes of typechecking, we assume that any Mapping is the right shape.
return typing.cast(typing.Mapping[str, str], potential)
elif isinstance(potential, typing.Iterable):
# Similarly to Mapping, full runtime checking of the contents of an Iterable is
# expensive, so for the purposes of typechecking, we assume that any Iterable
# is the right shape.
return typing.cast(typing.Iterable[typing.Tuple[str, str]], potential)
elif hasattr(potential, "keys") and hasattr(potential, "__getitem__"):
return typing.cast("HasGettableStringKeys", potential)
else:
return None
class RecentlyUsedContainer(typing.Generic[_KT, _VT], typing.MutableMapping[_KT, _VT]):
"""
Provides a thread-safe dict-like container which maintains up to
``maxsize`` keys while throwing away the least-recently-used keys beyond
``maxsize``.
:param maxsize:
Maximum number of recent elements to retain.
:param dispose_func:
Every time an item is evicted from the container,
``dispose_func(value)`` is called. Callback which will get called
"""
_container: typing.OrderedDict[_KT, _VT]
_maxsize: int
dispose_func: typing.Callable[[_VT], None] | None
lock: RLock
def __init__(
self,
maxsize: int = 10,
dispose_func: typing.Callable[[_VT], None] | None = None,
) -> None:
super().__init__()
self._maxsize = maxsize
self.dispose_func = dispose_func
self._container = OrderedDict()
self.lock = RLock()
def __getitem__(self, key: _KT) -> _VT:
# Re-insert the item, moving it to the end of the eviction line.
with self.lock:
item = self._container.pop(key)
self._container[key] = item
return item
def __setitem__(self, key: _KT, value: _VT) -> None:
evicted_item = None
with self.lock:
# Possibly evict the existing value of 'key'
try:
# If the key exists, we'll overwrite it, which won't change the
# size of the pool. Because accessing a key should move it to
# the end of the eviction line, we pop it out first.
evicted_item = key, self._container.pop(key)
self._container[key] = value
except KeyError:
# When the key does not exist, we insert the value first so that
# evicting works in all cases, including when self._maxsize is 0
self._container[key] = value
if len(self._container) > self._maxsize:
# If we didn't evict an existing value, and we've hit our maximum
# size, then we have to evict the least recently used item from
# the beginning of the container.
evicted_item = self._container.popitem(last=False)
# After releasing the lock on the pool, dispose of any evicted value.
if evicted_item is not None and self.dispose_func:
_, evicted_value = evicted_item
self.dispose_func(evicted_value)
def __delitem__(self, key: _KT) -> None:
with self.lock:
value = self._container.pop(key)
if self.dispose_func:
self.dispose_func(value)
def __len__(self) -> int:
with self.lock:
return len(self._container)
def __iter__(self) -> typing.NoReturn:
raise NotImplementedError(
"Iteration over this class is unlikely to be threadsafe."
)
def clear(self) -> None:
with self.lock:
# Copy pointers to all values, then wipe the mapping
values = list(self._container.values())
self._container.clear()
if self.dispose_func:
for value in values:
self.dispose_func(value)
def keys(self) -> set[_KT]: # type: ignore[override]
with self.lock:
return set(self._container.keys())
class HTTPHeaderDictItemView(typing.Set[typing.Tuple[str, str]]):
"""
HTTPHeaderDict is unusual for a Mapping[str, str] in that it has two modes of
address.
If we directly try to get an item with a particular name, we will get a string
back that is the concatenated version of all the values:
>>> d['X-Header-Name']
'Value1, Value2, Value3'
However, if we iterate over an HTTPHeaderDict's items, we will optionally combine
these values based on whether combine=True was called when building up the dictionary
>>> d = HTTPHeaderDict({"A": "1", "B": "foo"})
>>> d.add("A", "2", combine=True)
>>> d.add("B", "bar")
>>> list(d.items())
[
('A', '1, 2'),
('B', 'foo'),
('B', 'bar'),
]
This class conforms to the interface required by the MutableMapping ABC while
also giving us the nonstandard iteration behavior we want; items with duplicate
keys, ordered by time of first insertion.
"""
_headers: HTTPHeaderDict
def __init__(self, headers: HTTPHeaderDict) -> None:
self._headers = headers
def __len__(self) -> int:
return len(list(self._headers.iteritems()))
def __iter__(self) -> typing.Iterator[tuple[str, str]]:
return self._headers.iteritems()
def __contains__(self, item: object) -> bool:
if isinstance(item, tuple) and len(item) == 2:
passed_key, passed_val = item
if isinstance(passed_key, str) and isinstance(passed_val, str):
return self._headers._has_value_for_header(passed_key, passed_val)
return False
class HTTPHeaderDict(typing.MutableMapping[str, str]):
"""
:param headers:
An iterable of field-value pairs. Must not contain multiple field names
when compared case-insensitively.
:param kwargs:
Additional field-value pairs to pass in to ``dict.update``.
A ``dict`` like container for storing HTTP Headers.
Field names are stored and compared case-insensitively in compliance with
RFC 7230. Iteration provides the first case-sensitive key seen for each
case-insensitive pair.
Using ``__setitem__`` syntax overwrites fields that compare equal
case-insensitively in order to maintain ``dict``'s api. For fields that
compare equal, instead create a new ``HTTPHeaderDict`` and use ``.add``
in a loop.
If multiple fields that are equal case-insensitively are passed to the
constructor or ``.update``, the behavior is undefined and some will be
lost.
>>> headers = HTTPHeaderDict()
>>> headers.add('Set-Cookie', 'foo=bar')
>>> headers.add('set-cookie', 'baz=quxx')
>>> headers['content-length'] = '7'
>>> headers['SET-cookie']
'foo=bar, baz=quxx'
>>> headers['Content-Length']
'7'
"""
_container: typing.MutableMapping[str, list[str]]
def __init__(self, headers: ValidHTTPHeaderSource | None = None, **kwargs: str):
super().__init__()
self._container = {} # 'dict' is insert-ordered in Python 3.7+
if headers is not None:
if isinstance(headers, HTTPHeaderDict):
self._copy_from(headers)
else:
self.extend(headers)
if kwargs:
self.extend(kwargs)
def __setitem__(self, key: str, val: str) -> None:
# avoid a bytes/str comparison by decoding before httplib
if isinstance(key, bytes):
key = key.decode("latin-1")
self._container[key.lower()] = [key, val]
def __getitem__(self, key: str) -> str:
val = self._container[key.lower()]
return ", ".join(val[1:])
def __delitem__(self, key: str) -> None:
del self._container[key.lower()]
def __contains__(self, key: object) -> bool:
if isinstance(key, str):
return key.lower() in self._container
return False
def setdefault(self, key: str, default: str = "") -> str:
return super().setdefault(key, default)
def __eq__(self, other: object) -> bool:
maybe_constructable = ensure_can_construct_http_header_dict(other)
if maybe_constructable is None:
return False
else:
other_as_http_header_dict = type(self)(maybe_constructable)
return {k.lower(): v for k, v in self.itermerged()} == {
k.lower(): v for k, v in other_as_http_header_dict.itermerged()
}
def __ne__(self, other: object) -> bool:
return not self.__eq__(other)
def __len__(self) -> int:
return len(self._container)
def __iter__(self) -> typing.Iterator[str]:
# Only provide the originally cased names
for vals in self._container.values():
yield vals[0]
def discard(self, key: str) -> None:
try:
del self[key]
except KeyError:
pass
def add(self, key: str, val: str, *, combine: bool = False) -> None:
"""Adds a (name, value) pair, doesn't overwrite the value if it already
exists.
If this is called with combine=True, instead of adding a new header value
as a distinct item during iteration, this will instead append the value to
any existing header value with a comma. If no existing header value exists
for the key, then the value will simply be added, ignoring the combine parameter.
>>> headers = HTTPHeaderDict(foo='bar')
>>> headers.add('Foo', 'baz')
>>> headers['foo']
'bar, baz'
>>> list(headers.items())
[('foo', 'bar'), ('foo', 'baz')]
>>> headers.add('foo', 'quz', combine=True)
>>> list(headers.items())
[('foo', 'bar, baz, quz')]
"""
# avoid a bytes/str comparison by decoding before httplib
if isinstance(key, bytes):
key = key.decode("latin-1")
key_lower = key.lower()
new_vals = [key, val]
# Keep the common case aka no item present as fast as possible
vals = self._container.setdefault(key_lower, new_vals)
if new_vals is not vals:
# if there are values here, then there is at least the initial
# key/value pair
assert len(vals) >= 2
if combine:
vals[-1] = vals[-1] + ", " + val
else:
vals.append(val)
def extend(self, *args: ValidHTTPHeaderSource, **kwargs: str) -> None:
"""Generic import function for any type of header-like object.
Adapted version of MutableMapping.update in order to insert items
with self.add instead of self.__setitem__
"""
if len(args) > 1:
raise TypeError(
f"extend() takes at most 1 positional arguments ({len(args)} given)"
)
other = args[0] if len(args) >= 1 else ()
if isinstance(other, HTTPHeaderDict):
for key, val in other.iteritems():
self.add(key, val)
elif isinstance(other, typing.Mapping):
for key, val in other.items():
self.add(key, val)
elif isinstance(other, typing.Iterable):
other = typing.cast(typing.Iterable[typing.Tuple[str, str]], other)
for key, value in other:
self.add(key, value)
elif hasattr(other, "keys") and hasattr(other, "__getitem__"):
# THIS IS NOT A TYPESAFE BRANCH
# In this branch, the object has a `keys` attr but is not a Mapping or any of
# the other types indicated in the method signature. We do some stuff with
# it as though it partially implements the Mapping interface, but we're not
# doing that stuff safely AT ALL.
for key in other.keys():
self.add(key, other[key])
for key, value in kwargs.items():
self.add(key, value)
@typing.overload
def getlist(self, key: str) -> list[str]:
...
@typing.overload
def getlist(self, key: str, default: _DT) -> list[str] | _DT:
...
def getlist(
self, key: str, default: _Sentinel | _DT = _Sentinel.not_passed
) -> list[str] | _DT:
"""Returns a list of all the values for the named field. Returns an
empty list if the key doesn't exist."""
try:
vals = self._container[key.lower()]
except KeyError:
if default is _Sentinel.not_passed:
# _DT is unbound; empty list is instance of List[str]
return []
# _DT is bound; default is instance of _DT
return default
else:
# _DT may or may not be bound; vals[1:] is instance of List[str], which
# meets our external interface requirement of `Union[List[str], _DT]`.
return vals[1:]
# Backwards compatibility for httplib
getheaders = getlist
getallmatchingheaders = getlist
iget = getlist
# Backwards compatibility for http.cookiejar
get_all = getlist
def __repr__(self) -> str:
return f"{type(self).__name__}({dict(self.itermerged())})"
def _copy_from(self, other: HTTPHeaderDict) -> None:
for key in other:
val = other.getlist(key)
self._container[key.lower()] = [key, *val]
def copy(self) -> HTTPHeaderDict:
clone = type(self)()
clone._copy_from(self)
return clone
def iteritems(self) -> typing.Iterator[tuple[str, str]]:
"""Iterate over all header lines, including duplicate ones."""
for key in self:
vals = self._container[key.lower()]
for val in vals[1:]:
yield vals[0], val
def itermerged(self) -> typing.Iterator[tuple[str, str]]:
"""Iterate over all headers, merging duplicate ones together."""
for key in self:
val = self._container[key.lower()]
yield val[0], ", ".join(val[1:])
def items(self) -> HTTPHeaderDictItemView: # type: ignore[override]
return HTTPHeaderDictItemView(self)
def _has_value_for_header(self, header_name: str, potential_value: str) -> bool:
if header_name in self:
return potential_value in self._container[header_name.lower()][1:]
return False
def __ior__(self, other: object) -> HTTPHeaderDict:
# Supports extending a header dict in-place using operator |=
# combining items with add instead of __setitem__
maybe_constructable = ensure_can_construct_http_header_dict(other)
if maybe_constructable is None:
return NotImplemented
self.extend(maybe_constructable)
return self
def __or__(self, other: object) -> HTTPHeaderDict:
# Supports merging header dicts using operator |
# combining items with add instead of __setitem__
maybe_constructable = ensure_can_construct_http_header_dict(other)
if maybe_constructable is None:
return NotImplemented
result = self.copy()
result.extend(maybe_constructable)
return result
def __ror__(self, other: object) -> HTTPHeaderDict:
# Supports merging header dicts using operator | when other is on left side
# combining items with add instead of __setitem__
maybe_constructable = ensure_can_construct_http_header_dict(other)
if maybe_constructable is None:
return NotImplemented
result = type(self)(maybe_constructable)
result.extend(self)
return result
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