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 datetime
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import threading
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from collections import deque
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from collections.abc import MutableMapping, Sequence
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from typing import Optional
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from typing_extensions import deprecated
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def ns_to_iso_str(nanoseconds):
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"""Get an ISO 8601 string from time_ns value."""
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ts = datetime.datetime.fromtimestamp(
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nanoseconds / 1e9, tz=datetime.timezone.utc
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)
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return ts.strftime("%Y-%m-%dT%H:%M:%S.%fZ")
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def get_dict_as_key(labels):
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"""Converts a dict to be used as a unique key"""
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return tuple(
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sorted(
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map(
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lambda kv: (
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(kv[0], tuple(kv[1])) if isinstance(kv[1], list) else kv
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),
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labels.items(),
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)
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)
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)
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class BoundedList(Sequence):
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"""An append only list with a fixed max size.
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Calls to `append` and `extend` will drop the oldest elements if there is
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not enough room.
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"""
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def __init__(self, maxlen: Optional[int]):
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self.dropped = 0
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self._dq = deque(maxlen=maxlen) # type: deque
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self._lock = threading.Lock()
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def __repr__(self):
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return f"{type(self).__name__}({list(self._dq)}, maxlen={self._dq.maxlen})"
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def __getitem__(self, index):
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return self._dq[index]
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def __len__(self):
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return len(self._dq)
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def __iter__(self):
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with self._lock:
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return iter(deque(self._dq))
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def append(self, item):
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with self._lock:
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if (
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self._dq.maxlen is not None
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and len(self._dq) == self._dq.maxlen
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):
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self.dropped += 1
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self._dq.append(item)
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def extend(self, seq):
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with self._lock:
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if self._dq.maxlen is not None:
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to_drop = len(seq) + len(self._dq) - self._dq.maxlen
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if to_drop > 0:
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self.dropped += to_drop
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self._dq.extend(seq)
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@classmethod
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def from_seq(cls, maxlen, seq):
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seq = tuple(seq)
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bounded_list = cls(maxlen)
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bounded_list.extend(seq)
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return bounded_list
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@deprecated("Deprecated since version 1.4.0.")
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class BoundedDict(MutableMapping):
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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__(self, maxlen: Optional[int]):
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if maxlen is not None:
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if not isinstance(maxlen, int):
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raise ValueError
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if maxlen < 0:
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raise ValueError
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self.maxlen = maxlen
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self.dropped = 0
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self._dict = {} # type: dict
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self._lock = threading.Lock() # type: threading.Lock
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def __repr__(self):
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return (
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f"{type(self).__name__}({dict(self._dict)}, maxlen={self.maxlen})"
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)
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def __getitem__(self, key):
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return self._dict[key]
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def __setitem__(self, key, value):
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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 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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del self._dict[next(iter(self._dict.keys()))]
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self.dropped += 1
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self._dict[key] = value
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def __delitem__(self, key):
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del self._dict[key]
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def __iter__(self):
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with self._lock:
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return iter(self._dict.copy())
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def __len__(self):
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return len(self._dict)
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@classmethod
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def from_map(cls, maxlen, mapping):
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mapping = dict(mapping)
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bounded_dict = cls(maxlen)
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for key, value in mapping.items():
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bounded_dict[key] = value
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return bounded_dict
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@@ -0,0 +1,74 @@
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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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from typing import (
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Iterable,
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Iterator,
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Mapping,
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MutableMapping,
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Sequence,
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TypeVar,
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overload,
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)
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from opentelemetry.util.types import AttributesAsKey, AttributeValue
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_T = TypeVar("_T")
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_KT = TypeVar("_KT")
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_VT = TypeVar("_VT")
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def ns_to_iso_str(nanoseconds: int) -> str: ...
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def get_dict_as_key(
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labels: Mapping[str, AttributeValue],
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) -> AttributesAsKey: ...
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# pylint: disable=no-self-use
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class BoundedList(Sequence[_T]):
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"""An append only list with a fixed max size.
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Calls to `append` and `extend` will drop the oldest elements if there is
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not enough room.
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"""
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dropped: int
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def __init__(self, maxlen: int): ...
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def insert(self, index: int, value: _T) -> None: ...
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@overload
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def __getitem__(self, i: int) -> _T: ...
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@overload
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def __getitem__(self, s: slice) -> Sequence[_T]: ...
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def __len__(self) -> int: ...
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def append(self, item: _T) -> None: ...
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def extend(self, seq: Sequence[_T]) -> None: ...
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@classmethod
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def from_seq(cls, maxlen: int, seq: Iterable[_T]) -> BoundedList[_T]: ... # pylint: disable=undefined-variable
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class BoundedDict(MutableMapping[_KT, _VT]):
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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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dropped: int
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def __init__(self, maxlen: int): ...
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def __getitem__(self, k: _KT) -> _VT: ...
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def __setitem__(self, k: _KT, v: _VT) -> None: ...
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def __delitem__(self, v: _KT) -> None: ...
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def __iter__(self) -> Iterator[_KT]: ...
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def __len__(self) -> int: ...
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@classmethod
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def from_map(
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cls, maxlen: int, mapping: Mapping[_KT, _VT]
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) -> BoundedDict[_KT, _VT]: ... # pylint: disable=undefined-variable
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@@ -0,0 +1,169 @@
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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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from json import dumps
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from typing import Optional
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from typing_extensions import deprecated
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from opentelemetry.attributes import BoundedAttributes
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from opentelemetry.util.types import Attributes
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class InstrumentationInfo:
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"""Immutable information about an instrumentation library module.
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See `opentelemetry.trace.TracerProvider.get_tracer` for the meaning of these
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properties.
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"""
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__slots__ = ("_name", "_version", "_schema_url")
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@deprecated(
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"You should use InstrumentationScope. Deprecated since version 1.11.1."
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)
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def __init__(
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self,
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name: str,
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version: Optional[str] = None,
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schema_url: Optional[str] = None,
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):
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self._name = name
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self._version = version
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if schema_url is None:
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schema_url = ""
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self._schema_url = schema_url
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def __repr__(self):
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return f"{type(self).__name__}({self._name}, {self._version}, {self._schema_url})"
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def __hash__(self):
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return hash((self._name, self._version, self._schema_url))
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def __eq__(self, value):
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return type(value) is type(self) and (
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self._name,
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self._version,
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self._schema_url,
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) == (value._name, value._version, value._schema_url)
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def __lt__(self, value):
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if type(value) is not type(self):
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return NotImplemented
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return (self._name, self._version, self._schema_url) < (
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value._name,
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value._version,
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value._schema_url,
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)
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@property
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def schema_url(self) -> Optional[str]:
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return self._schema_url
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@property
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def version(self) -> Optional[str]:
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return self._version
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@property
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def name(self) -> str:
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return self._name
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class InstrumentationScope:
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"""A logical unit of the application code with which the emitted telemetry can be
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associated.
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See `opentelemetry.trace.TracerProvider.get_tracer` for the meaning of these
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properties.
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"""
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__slots__ = ("_name", "_version", "_schema_url", "_attributes")
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def __init__(
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self,
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name: str,
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version: Optional[str] = None,
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schema_url: Optional[str] = None,
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attributes: Optional[Attributes] = None,
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) -> None:
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self._name = name
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self._version = version
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if schema_url is None:
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schema_url = ""
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self._schema_url = schema_url
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self._attributes = BoundedAttributes(attributes=attributes)
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def __repr__(self) -> str:
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return f"{type(self).__name__}({self._name}, {self._version}, {self._schema_url}, {self._attributes})"
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def __hash__(self) -> int:
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return hash((self._name, self._version, self._schema_url))
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def __eq__(self, value: object) -> bool:
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if not isinstance(value, InstrumentationScope):
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return NotImplemented
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return (
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self._name,
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self._version,
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self._schema_url,
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self._attributes,
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) == (
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value._name,
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value._version,
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value._schema_url,
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value._attributes,
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)
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def __lt__(self, value: object) -> bool:
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if not isinstance(value, InstrumentationScope):
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return NotImplemented
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return (
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self._name,
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self._version,
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self._schema_url,
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self._attributes,
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) < (
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value._name,
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value._version,
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value._schema_url,
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value._attributes,
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)
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@property
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def schema_url(self) -> Optional[str]:
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return self._schema_url
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@property
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def version(self) -> Optional[str]:
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return self._version
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@property
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def name(self) -> str:
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return self._name
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@property
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def attributes(self) -> Attributes:
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return self._attributes
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def to_json(self, indent: Optional[int] = 4) -> str:
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return dumps(
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{
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"name": self._name,
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"version": self._version,
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"schema_url": self._schema_url,
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"attributes": (
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dict(self._attributes) if bool(self._attributes) else None
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),
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},
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indent=indent,
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)
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