chore: 添加虚拟环境到仓库
- 添加 backend_service/venv 虚拟环境 - 包含所有Python依赖包 - 注意:虚拟环境约393MB,包含12655个文件
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# Copyright The OpenTelemetry Authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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import threading
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from collections import OrderedDict
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from collections.abc import MutableMapping
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from typing import Mapping, Optional, Sequence, Tuple, Union
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from opentelemetry.util import types
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# bytes are accepted as a user supplied value for attributes but
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# decoded to strings internally.
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_VALID_ATTR_VALUE_TYPES = (bool, str, bytes, int, float)
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# AnyValue possible values
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_VALID_ANY_VALUE_TYPES = (
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type(None),
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bool,
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bytes,
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int,
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float,
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str,
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Sequence,
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Mapping,
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)
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_logger = logging.getLogger(__name__)
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def _clean_attribute(
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key: str, value: types.AttributeValue, max_len: Optional[int]
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) -> Optional[Union[types.AttributeValue, Tuple[Union[str, int, float], ...]]]:
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"""Checks if attribute value is valid and cleans it if required.
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The function returns the cleaned value or None if the value is not valid.
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An attribute value is valid if it is either:
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- A primitive type: string, boolean, double precision floating
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point (IEEE 754-1985) or integer.
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- An array of primitive type values. The array MUST be homogeneous,
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i.e. it MUST NOT contain values of different types.
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An attribute needs cleansing if:
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- Its length is greater than the maximum allowed length.
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- It needs to be encoded/decoded e.g, bytes to strings.
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"""
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if not (key and isinstance(key, str)):
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_logger.warning("invalid key `%s`. must be non-empty string.", key)
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return None
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if isinstance(value, _VALID_ATTR_VALUE_TYPES):
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return _clean_attribute_value(value, max_len)
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if isinstance(value, Sequence):
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sequence_first_valid_type = None
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cleaned_seq = []
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for element in value:
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element = _clean_attribute_value(element, max_len) # type: ignore
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if element is None:
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cleaned_seq.append(element)
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continue
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element_type = type(element)
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# Reject attribute value if sequence contains a value with an incompatible type.
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if element_type not in _VALID_ATTR_VALUE_TYPES:
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_logger.warning(
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"Invalid type %s in attribute '%s' value sequence. Expected one of "
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"%s or None",
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element_type.__name__,
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key,
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[
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valid_type.__name__
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for valid_type in _VALID_ATTR_VALUE_TYPES
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],
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)
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return None
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# The type of the sequence must be homogeneous. The first non-None
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# element determines the type of the sequence
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if sequence_first_valid_type is None:
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sequence_first_valid_type = element_type
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# use equality instead of isinstance as isinstance(True, int) evaluates to True
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elif element_type != sequence_first_valid_type:
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_logger.warning(
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"Attribute %r mixes types %s and %s in attribute value sequence",
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key,
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sequence_first_valid_type.__name__,
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type(element).__name__,
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)
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return None
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cleaned_seq.append(element)
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# Freeze mutable sequences defensively
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return tuple(cleaned_seq)
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_logger.warning(
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"Invalid type %s for attribute '%s' value. Expected one of %s or a "
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"sequence of those types",
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type(value).__name__,
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key,
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[valid_type.__name__ for valid_type in _VALID_ATTR_VALUE_TYPES],
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)
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return None
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def _clean_extended_attribute_value(
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value: types.AnyValue, max_len: Optional[int]
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) -> types.AnyValue:
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# for primitive types just return the value and eventually shorten the string length
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if value is None or isinstance(value, _VALID_ATTR_VALUE_TYPES):
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if max_len is not None and isinstance(value, str):
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value = value[:max_len]
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return value
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if isinstance(value, Mapping):
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cleaned_dict: dict[str, types.AnyValue] = {}
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for key, element in value.items():
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# skip invalid keys
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if not (key and isinstance(key, str)):
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_logger.warning(
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"invalid key `%s`. must be non-empty string.", key
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)
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continue
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cleaned_dict[key] = _clean_extended_attribute(
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key=key, value=element, max_len=max_len
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)
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return cleaned_dict
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if isinstance(value, Sequence):
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sequence_first_valid_type = None
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cleaned_seq: list[types.AnyValue] = []
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for element in value:
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if element is None:
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cleaned_seq.append(element)
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continue
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if max_len is not None and isinstance(element, str):
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element = element[:max_len]
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element_type = type(element)
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if element_type not in _VALID_ATTR_VALUE_TYPES:
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element = _clean_extended_attribute_value(
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element, max_len=max_len
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)
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element_type = type(element) # type: ignore
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# The type of the sequence must be homogeneous. The first non-None
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# element determines the type of the sequence
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if sequence_first_valid_type is None:
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sequence_first_valid_type = element_type
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# use equality instead of isinstance as isinstance(True, int) evaluates to True
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elif element_type != sequence_first_valid_type:
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_logger.warning(
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"Mixed types %s and %s in attribute value sequence",
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sequence_first_valid_type.__name__,
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type(element).__name__,
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)
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return None
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cleaned_seq.append(element)
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# Freeze mutable sequences defensively
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return tuple(cleaned_seq)
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raise TypeError(
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f"Invalid type {type(value).__name__} for attribute value. "
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f"Expected one of {[valid_type.__name__ for valid_type in _VALID_ANY_VALUE_TYPES]} or a "
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"sequence of those types",
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)
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def _clean_extended_attribute(
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key: str, value: types.AnyValue, max_len: Optional[int]
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) -> types.AnyValue:
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"""Checks if attribute value is valid and cleans it if required.
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The function returns the cleaned value or None if the value is not valid.
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An attribute value is valid if it is an AnyValue.
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An attribute needs cleansing if:
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- Its length is greater than the maximum allowed length.
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"""
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if not (key and isinstance(key, str)):
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_logger.warning("invalid key `%s`. must be non-empty string.", key)
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return None
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try:
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return _clean_extended_attribute_value(value, max_len=max_len)
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except TypeError as exception:
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_logger.warning("Attribute %s: %s", key, exception)
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return None
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def _clean_attribute_value(
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value: types.AttributeValue, limit: Optional[int]
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) -> Optional[types.AttributeValue]:
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if value is None:
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return None
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if isinstance(value, bytes):
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try:
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value = value.decode()
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except UnicodeDecodeError:
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_logger.warning("Byte attribute could not be decoded.")
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return None
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if limit is not None and isinstance(value, str):
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value = value[:limit]
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return value
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class BoundedAttributes(MutableMapping): # type: ignore
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"""An ordered dict with a fixed max capacity.
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Oldest elements are dropped when the dict is full and a new element is
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added.
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"""
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def __init__(
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self,
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maxlen: Optional[int] = None,
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attributes: Optional[types._ExtendedAttributes] = None,
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immutable: bool = True,
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max_value_len: Optional[int] = None,
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extended_attributes: bool = False,
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):
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if maxlen is not None:
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if not isinstance(maxlen, int) or maxlen < 0:
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raise ValueError(
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"maxlen must be valid int greater or equal to 0"
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)
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self.maxlen = maxlen
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self.dropped = 0
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self.max_value_len = max_value_len
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self._extended_attributes = extended_attributes
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# OrderedDict is not used until the maxlen is reached for efficiency.
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self._dict: Union[
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MutableMapping[str, types.AnyValue],
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OrderedDict[str, types.AnyValue],
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] = {}
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self._lock = threading.RLock()
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if attributes:
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for key, value in attributes.items():
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self[key] = value
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self._immutable = immutable
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def __repr__(self) -> str:
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return f"{dict(self._dict)}"
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def __getitem__(self, key: str) -> types.AnyValue:
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return self._dict[key]
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def __setitem__(self, key: str, value: types.AnyValue) -> None:
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if getattr(self, "_immutable", False): # type: ignore
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raise TypeError
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with self._lock:
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if self.maxlen is not None and self.maxlen == 0:
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self.dropped += 1
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return
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if self._extended_attributes:
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value = _clean_extended_attribute(
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key, value, self.max_value_len
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)
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else:
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value = _clean_attribute(key, value, self.max_value_len) # type: ignore
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if value is None:
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return
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if key in self._dict:
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del self._dict[key]
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elif self.maxlen is not None and len(self._dict) == self.maxlen:
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if not isinstance(self._dict, OrderedDict):
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self._dict = OrderedDict(self._dict)
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self._dict.popitem(last=False) # type: ignore
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self.dropped += 1
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self._dict[key] = value # type: ignore
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def __delitem__(self, key: str) -> None:
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if getattr(self, "_immutable", False): # type: ignore
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raise TypeError
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with self._lock:
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del self._dict[key]
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def __iter__(self): # type: ignore
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with self._lock:
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return iter(self._dict.copy()) # type: ignore
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def __len__(self) -> int:
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return len(self._dict)
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def copy(self): # type: ignore
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return self._dict.copy() # type: ignore
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