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omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/tests/test__all__.py |
import collections
import numpy as np
def test_no_duplicates_in_np__all__():
# Regression test for gh-10198.
dups = {k: v for k, v in collections.Counter(np.__all__).items() if v > 1}
assert len(dups) == 0
| 221 | Python | 21.199998 | 78 | 0.638009 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/tests/test_numpy_version.py | """
Check the numpy version is valid.
Note that a development version is marked by the presence of 'dev0' or '+'
in the version string, all else is treated as a release. The version string
itself is set from the output of ``git describe`` which relies on tags.
Examples
--------
Valid Development: 1.22.0.dev0 1.22.0.dev0+5-g7999db4df2 1.22.0+5-g7999db4df2
Valid Release: 1.21.0.rc1, 1.21.0.b1, 1.21.0
Invalid: 1.22.0.dev, 1.22.0.dev0-5-g7999db4dfB, 1.21.0.d1, 1.21.a
Note that a release is determined by the version string, which in turn
is controlled by the result of the ``git describe`` command.
"""
import re
import numpy as np
from numpy.testing import assert_
def test_valid_numpy_version():
# Verify that the numpy version is a valid one (no .post suffix or other
# nonsense). See gh-6431 for an issue caused by an invalid version.
version_pattern = r"^[0-9]+\.[0-9]+\.[0-9]+(a[0-9]|b[0-9]|rc[0-9]|)"
dev_suffix = r"(\.dev0|)(\+[0-9]*\.g[0-9a-f]+|)"
if np.version.release:
res = re.match(version_pattern + '$', np.__version__)
else:
res = re.match(version_pattern + dev_suffix + '$', np.__version__)
assert_(res is not None, np.__version__)
def test_short_version():
# Check numpy.short_version actually exists
if np.version.release:
assert_(np.__version__ == np.version.short_version,
"short_version mismatch in release version")
else:
assert_(np.__version__.split("+")[0] == np.version.short_version,
"short_version mismatch in development version")
| 1,575 | Python | 34.022221 | 77 | 0.653333 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/tests/test_warnings.py | """
Tests which scan for certain occurrences in the code, they may not find
all of these occurrences but should catch almost all.
"""
import pytest
from pathlib import Path
import ast
import tokenize
import numpy
class ParseCall(ast.NodeVisitor):
def __init__(self):
self.ls = []
def visit_Attribute(self, node):
ast.NodeVisitor.generic_visit(self, node)
self.ls.append(node.attr)
def visit_Name(self, node):
self.ls.append(node.id)
class FindFuncs(ast.NodeVisitor):
def __init__(self, filename):
super().__init__()
self.__filename = filename
def visit_Call(self, node):
p = ParseCall()
p.visit(node.func)
ast.NodeVisitor.generic_visit(self, node)
if p.ls[-1] == 'simplefilter' or p.ls[-1] == 'filterwarnings':
if node.args[0].s == "ignore":
raise AssertionError(
"warnings should have an appropriate stacklevel; found in "
"{} on line {}".format(self.__filename, node.lineno))
if p.ls[-1] == 'warn' and (
len(p.ls) == 1 or p.ls[-2] == 'warnings'):
if "testing/tests/test_warnings.py" == self.__filename:
# This file
return
# See if stacklevel exists:
if len(node.args) == 3:
return
args = {kw.arg for kw in node.keywords}
if "stacklevel" in args:
return
raise AssertionError(
"warnings should have an appropriate stacklevel; found in "
"{} on line {}".format(self.__filename, node.lineno))
@pytest.mark.slow
def test_warning_calls():
# combined "ignore" and stacklevel error
base = Path(numpy.__file__).parent
for path in base.rglob("*.py"):
if base / "testing" in path.parents:
continue
if path == base / "__init__.py":
continue
if path == base / "random" / "__init__.py":
continue
# use tokenize to auto-detect encoding on systems where no
# default encoding is defined (e.g. LANG='C')
with tokenize.open(str(path)) as file:
tree = ast.parse(file.read())
FindFuncs(path).visit(tree)
| 2,280 | Python | 29.413333 | 79 | 0.556579 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/_utility_functions.py | from __future__ import annotations
from ._array_object import Array
from typing import Optional, Tuple, Union
import numpy as np
def all(
x: Array,
/,
*,
axis: Optional[Union[int, Tuple[int, ...]]] = None,
keepdims: bool = False,
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.all <numpy.all>`.
See its docstring for more information.
"""
return Array._new(np.asarray(np.all(x._array, axis=axis, keepdims=keepdims)))
def any(
x: Array,
/,
*,
axis: Optional[Union[int, Tuple[int, ...]]] = None,
keepdims: bool = False,
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.any <numpy.any>`.
See its docstring for more information.
"""
return Array._new(np.asarray(np.any(x._array, axis=axis, keepdims=keepdims)))
| 824 | Python | 20.710526 | 81 | 0.618932 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/_sorting_functions.py | from __future__ import annotations
from ._array_object import Array
import numpy as np
# Note: the descending keyword argument is new in this function
def argsort(
x: Array, /, *, axis: int = -1, descending: bool = False, stable: bool = True
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.argsort <numpy.argsort>`.
See its docstring for more information.
"""
# Note: this keyword argument is different, and the default is different.
kind = "stable" if stable else "quicksort"
if not descending:
res = np.argsort(x._array, axis=axis, kind=kind)
else:
# As NumPy has no native descending sort, we imitate it here. Note that
# simply flipping the results of np.argsort(x._array, ...) would not
# respect the relative order like it would in native descending sorts.
res = np.flip(
np.argsort(np.flip(x._array, axis=axis), axis=axis, kind=kind),
axis=axis,
)
# Rely on flip()/argsort() to validate axis
normalised_axis = axis if axis >= 0 else x.ndim + axis
max_i = x.shape[normalised_axis] - 1
res = max_i - res
return Array._new(res)
# Note: the descending keyword argument is new in this function
def sort(
x: Array, /, *, axis: int = -1, descending: bool = False, stable: bool = True
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.sort <numpy.sort>`.
See its docstring for more information.
"""
# Note: this keyword argument is different, and the default is different.
kind = "stable" if stable else "quicksort"
res = np.sort(x._array, axis=axis, kind=kind)
if descending:
res = np.flip(res, axis=axis)
return Array._new(res)
| 1,754 | Python | 34.099999 | 81 | 0.63626 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/_creation_functions.py | from __future__ import annotations
from typing import TYPE_CHECKING, List, Optional, Tuple, Union
if TYPE_CHECKING:
from ._typing import (
Array,
Device,
Dtype,
NestedSequence,
SupportsBufferProtocol,
)
from collections.abc import Sequence
from ._dtypes import _all_dtypes
import numpy as np
def _check_valid_dtype(dtype):
# Note: Only spelling dtypes as the dtype objects is supported.
# We use this instead of "dtype in _all_dtypes" because the dtype objects
# define equality with the sorts of things we want to disallow.
for d in (None,) + _all_dtypes:
if dtype is d:
return
raise ValueError("dtype must be one of the supported dtypes")
def asarray(
obj: Union[
Array,
bool,
int,
float,
NestedSequence[bool | int | float],
SupportsBufferProtocol,
],
/,
*,
dtype: Optional[Dtype] = None,
device: Optional[Device] = None,
copy: Optional[Union[bool, np._CopyMode]] = None,
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.asarray <numpy.asarray>`.
See its docstring for more information.
"""
# _array_object imports in this file are inside the functions to avoid
# circular imports
from ._array_object import Array
_check_valid_dtype(dtype)
if device not in ["cpu", None]:
raise ValueError(f"Unsupported device {device!r}")
if copy in (False, np._CopyMode.IF_NEEDED):
# Note: copy=False is not yet implemented in np.asarray
raise NotImplementedError("copy=False is not yet implemented")
if isinstance(obj, Array):
if dtype is not None and obj.dtype != dtype:
copy = True
if copy in (True, np._CopyMode.ALWAYS):
return Array._new(np.array(obj._array, copy=True, dtype=dtype))
return obj
if dtype is None and isinstance(obj, int) and (obj > 2 ** 64 or obj < -(2 ** 63)):
# Give a better error message in this case. NumPy would convert this
# to an object array. TODO: This won't handle large integers in lists.
raise OverflowError("Integer out of bounds for array dtypes")
res = np.asarray(obj, dtype=dtype)
return Array._new(res)
def arange(
start: Union[int, float],
/,
stop: Optional[Union[int, float]] = None,
step: Union[int, float] = 1,
*,
dtype: Optional[Dtype] = None,
device: Optional[Device] = None,
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.arange <numpy.arange>`.
See its docstring for more information.
"""
from ._array_object import Array
_check_valid_dtype(dtype)
if device not in ["cpu", None]:
raise ValueError(f"Unsupported device {device!r}")
return Array._new(np.arange(start, stop=stop, step=step, dtype=dtype))
def empty(
shape: Union[int, Tuple[int, ...]],
*,
dtype: Optional[Dtype] = None,
device: Optional[Device] = None,
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.empty <numpy.empty>`.
See its docstring for more information.
"""
from ._array_object import Array
_check_valid_dtype(dtype)
if device not in ["cpu", None]:
raise ValueError(f"Unsupported device {device!r}")
return Array._new(np.empty(shape, dtype=dtype))
def empty_like(
x: Array, /, *, dtype: Optional[Dtype] = None, device: Optional[Device] = None
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.empty_like <numpy.empty_like>`.
See its docstring for more information.
"""
from ._array_object import Array
_check_valid_dtype(dtype)
if device not in ["cpu", None]:
raise ValueError(f"Unsupported device {device!r}")
return Array._new(np.empty_like(x._array, dtype=dtype))
def eye(
n_rows: int,
n_cols: Optional[int] = None,
/,
*,
k: int = 0,
dtype: Optional[Dtype] = None,
device: Optional[Device] = None,
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.eye <numpy.eye>`.
See its docstring for more information.
"""
from ._array_object import Array
_check_valid_dtype(dtype)
if device not in ["cpu", None]:
raise ValueError(f"Unsupported device {device!r}")
return Array._new(np.eye(n_rows, M=n_cols, k=k, dtype=dtype))
def from_dlpack(x: object, /) -> Array:
from ._array_object import Array
return Array._new(np.from_dlpack(x))
def full(
shape: Union[int, Tuple[int, ...]],
fill_value: Union[int, float],
*,
dtype: Optional[Dtype] = None,
device: Optional[Device] = None,
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.full <numpy.full>`.
See its docstring for more information.
"""
from ._array_object import Array
_check_valid_dtype(dtype)
if device not in ["cpu", None]:
raise ValueError(f"Unsupported device {device!r}")
if isinstance(fill_value, Array) and fill_value.ndim == 0:
fill_value = fill_value._array
res = np.full(shape, fill_value, dtype=dtype)
if res.dtype not in _all_dtypes:
# This will happen if the fill value is not something that NumPy
# coerces to one of the acceptable dtypes.
raise TypeError("Invalid input to full")
return Array._new(res)
def full_like(
x: Array,
/,
fill_value: Union[int, float],
*,
dtype: Optional[Dtype] = None,
device: Optional[Device] = None,
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.full_like <numpy.full_like>`.
See its docstring for more information.
"""
from ._array_object import Array
_check_valid_dtype(dtype)
if device not in ["cpu", None]:
raise ValueError(f"Unsupported device {device!r}")
res = np.full_like(x._array, fill_value, dtype=dtype)
if res.dtype not in _all_dtypes:
# This will happen if the fill value is not something that NumPy
# coerces to one of the acceptable dtypes.
raise TypeError("Invalid input to full_like")
return Array._new(res)
def linspace(
start: Union[int, float],
stop: Union[int, float],
/,
num: int,
*,
dtype: Optional[Dtype] = None,
device: Optional[Device] = None,
endpoint: bool = True,
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.linspace <numpy.linspace>`.
See its docstring for more information.
"""
from ._array_object import Array
_check_valid_dtype(dtype)
if device not in ["cpu", None]:
raise ValueError(f"Unsupported device {device!r}")
return Array._new(np.linspace(start, stop, num, dtype=dtype, endpoint=endpoint))
def meshgrid(*arrays: Array, indexing: str = "xy") -> List[Array]:
"""
Array API compatible wrapper for :py:func:`np.meshgrid <numpy.meshgrid>`.
See its docstring for more information.
"""
from ._array_object import Array
# Note: unlike np.meshgrid, only inputs with all the same dtype are
# allowed
if len({a.dtype for a in arrays}) > 1:
raise ValueError("meshgrid inputs must all have the same dtype")
return [
Array._new(array)
for array in np.meshgrid(*[a._array for a in arrays], indexing=indexing)
]
def ones(
shape: Union[int, Tuple[int, ...]],
*,
dtype: Optional[Dtype] = None,
device: Optional[Device] = None,
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.ones <numpy.ones>`.
See its docstring for more information.
"""
from ._array_object import Array
_check_valid_dtype(dtype)
if device not in ["cpu", None]:
raise ValueError(f"Unsupported device {device!r}")
return Array._new(np.ones(shape, dtype=dtype))
def ones_like(
x: Array, /, *, dtype: Optional[Dtype] = None, device: Optional[Device] = None
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.ones_like <numpy.ones_like>`.
See its docstring for more information.
"""
from ._array_object import Array
_check_valid_dtype(dtype)
if device not in ["cpu", None]:
raise ValueError(f"Unsupported device {device!r}")
return Array._new(np.ones_like(x._array, dtype=dtype))
def tril(x: Array, /, *, k: int = 0) -> Array:
"""
Array API compatible wrapper for :py:func:`np.tril <numpy.tril>`.
See its docstring for more information.
"""
from ._array_object import Array
if x.ndim < 2:
# Note: Unlike np.tril, x must be at least 2-D
raise ValueError("x must be at least 2-dimensional for tril")
return Array._new(np.tril(x._array, k=k))
def triu(x: Array, /, *, k: int = 0) -> Array:
"""
Array API compatible wrapper for :py:func:`np.triu <numpy.triu>`.
See its docstring for more information.
"""
from ._array_object import Array
if x.ndim < 2:
# Note: Unlike np.triu, x must be at least 2-D
raise ValueError("x must be at least 2-dimensional for triu")
return Array._new(np.triu(x._array, k=k))
def zeros(
shape: Union[int, Tuple[int, ...]],
*,
dtype: Optional[Dtype] = None,
device: Optional[Device] = None,
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.zeros <numpy.zeros>`.
See its docstring for more information.
"""
from ._array_object import Array
_check_valid_dtype(dtype)
if device not in ["cpu", None]:
raise ValueError(f"Unsupported device {device!r}")
return Array._new(np.zeros(shape, dtype=dtype))
def zeros_like(
x: Array, /, *, dtype: Optional[Dtype] = None, device: Optional[Device] = None
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.zeros_like <numpy.zeros_like>`.
See its docstring for more information.
"""
from ._array_object import Array
_check_valid_dtype(dtype)
if device not in ["cpu", None]:
raise ValueError(f"Unsupported device {device!r}")
return Array._new(np.zeros_like(x._array, dtype=dtype))
| 10,050 | Python | 27.553977 | 86 | 0.628358 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/_array_object.py | """
Wrapper class around the ndarray object for the array API standard.
The array API standard defines some behaviors differently than ndarray, in
particular, type promotion rules are different (the standard has no
value-based casting). The standard also specifies a more limited subset of
array methods and functionalities than are implemented on ndarray. Since the
goal of the array_api namespace is to be a minimal implementation of the array
API standard, we need to define a separate wrapper class for the array_api
namespace.
The standard compliant class is only a wrapper class. It is *not* a subclass
of ndarray.
"""
from __future__ import annotations
import operator
from enum import IntEnum
from ._creation_functions import asarray
from ._dtypes import (
_all_dtypes,
_boolean_dtypes,
_integer_dtypes,
_integer_or_boolean_dtypes,
_floating_dtypes,
_numeric_dtypes,
_result_type,
_dtype_categories,
)
from typing import TYPE_CHECKING, Optional, Tuple, Union, Any, SupportsIndex
import types
if TYPE_CHECKING:
from ._typing import Any, PyCapsule, Device, Dtype
import numpy.typing as npt
import numpy as np
from numpy import array_api
class Array:
"""
n-d array object for the array API namespace.
See the docstring of :py:obj:`np.ndarray <numpy.ndarray>` for more
information.
This is a wrapper around numpy.ndarray that restricts the usage to only
those things that are required by the array API namespace. Note,
attributes on this object that start with a single underscore are not part
of the API specification and should only be used internally. This object
should not be constructed directly. Rather, use one of the creation
functions, such as asarray().
"""
_array: np.ndarray
# Use a custom constructor instead of __init__, as manually initializing
# this class is not supported API.
@classmethod
def _new(cls, x, /):
"""
This is a private method for initializing the array API Array
object.
Functions outside of the array_api submodule should not use this
method. Use one of the creation functions instead, such as
``asarray``.
"""
obj = super().__new__(cls)
# Note: The spec does not have array scalars, only 0-D arrays.
if isinstance(x, np.generic):
# Convert the array scalar to a 0-D array
x = np.asarray(x)
if x.dtype not in _all_dtypes:
raise TypeError(
f"The array_api namespace does not support the dtype '{x.dtype}'"
)
obj._array = x
return obj
# Prevent Array() from working
def __new__(cls, *args, **kwargs):
raise TypeError(
"The array_api Array object should not be instantiated directly. Use an array creation function, such as asarray(), instead."
)
# These functions are not required by the spec, but are implemented for
# the sake of usability.
def __str__(self: Array, /) -> str:
"""
Performs the operation __str__.
"""
return self._array.__str__().replace("array", "Array")
def __repr__(self: Array, /) -> str:
"""
Performs the operation __repr__.
"""
suffix = f", dtype={self.dtype.name})"
if 0 in self.shape:
prefix = "empty("
mid = str(self.shape)
else:
prefix = "Array("
mid = np.array2string(self._array, separator=', ', prefix=prefix, suffix=suffix)
return prefix + mid + suffix
# This function is not required by the spec, but we implement it here for
# convenience so that np.asarray(np.array_api.Array) will work.
def __array__(self, dtype: None | np.dtype[Any] = None) -> npt.NDArray[Any]:
"""
Warning: this method is NOT part of the array API spec. Implementers
of other libraries need not include it, and users should not assume it
will be present in other implementations.
"""
return np.asarray(self._array, dtype=dtype)
# These are various helper functions to make the array behavior match the
# spec in places where it either deviates from or is more strict than
# NumPy behavior
def _check_allowed_dtypes(self, other: bool | int | float | Array, dtype_category: str, op: str) -> Array:
"""
Helper function for operators to only allow specific input dtypes
Use like
other = self._check_allowed_dtypes(other, 'numeric', '__add__')
if other is NotImplemented:
return other
"""
if self.dtype not in _dtype_categories[dtype_category]:
raise TypeError(f"Only {dtype_category} dtypes are allowed in {op}")
if isinstance(other, (int, float, bool)):
other = self._promote_scalar(other)
elif isinstance(other, Array):
if other.dtype not in _dtype_categories[dtype_category]:
raise TypeError(f"Only {dtype_category} dtypes are allowed in {op}")
else:
return NotImplemented
# This will raise TypeError for type combinations that are not allowed
# to promote in the spec (even if the NumPy array operator would
# promote them).
res_dtype = _result_type(self.dtype, other.dtype)
if op.startswith("__i"):
# Note: NumPy will allow in-place operators in some cases where
# the type promoted operator does not match the left-hand side
# operand. For example,
# >>> a = np.array(1, dtype=np.int8)
# >>> a += np.array(1, dtype=np.int16)
# The spec explicitly disallows this.
if res_dtype != self.dtype:
raise TypeError(
f"Cannot perform {op} with dtypes {self.dtype} and {other.dtype}"
)
return other
# Helper function to match the type promotion rules in the spec
def _promote_scalar(self, scalar):
"""
Returns a promoted version of a Python scalar appropriate for use with
operations on self.
This may raise an OverflowError in cases where the scalar is an
integer that is too large to fit in a NumPy integer dtype, or
TypeError when the scalar type is incompatible with the dtype of self.
"""
# Note: Only Python scalar types that match the array dtype are
# allowed.
if isinstance(scalar, bool):
if self.dtype not in _boolean_dtypes:
raise TypeError(
"Python bool scalars can only be promoted with bool arrays"
)
elif isinstance(scalar, int):
if self.dtype in _boolean_dtypes:
raise TypeError(
"Python int scalars cannot be promoted with bool arrays"
)
elif isinstance(scalar, float):
if self.dtype not in _floating_dtypes:
raise TypeError(
"Python float scalars can only be promoted with floating-point arrays."
)
else:
raise TypeError("'scalar' must be a Python scalar")
# Note: scalars are unconditionally cast to the same dtype as the
# array.
# Note: the spec only specifies integer-dtype/int promotion
# behavior for integers within the bounds of the integer dtype.
# Outside of those bounds we use the default NumPy behavior (either
# cast or raise OverflowError).
return Array._new(np.array(scalar, self.dtype))
@staticmethod
def _normalize_two_args(x1, x2) -> Tuple[Array, Array]:
"""
Normalize inputs to two arg functions to fix type promotion rules
NumPy deviates from the spec type promotion rules in cases where one
argument is 0-dimensional and the other is not. For example:
>>> import numpy as np
>>> a = np.array([1.0], dtype=np.float32)
>>> b = np.array(1.0, dtype=np.float64)
>>> np.add(a, b) # The spec says this should be float64
array([2.], dtype=float32)
To fix this, we add a dimension to the 0-dimension array before passing it
through. This works because a dimension would be added anyway from
broadcasting, so the resulting shape is the same, but this prevents NumPy
from not promoting the dtype.
"""
# Another option would be to use signature=(x1.dtype, x2.dtype, None),
# but that only works for ufuncs, so we would have to call the ufuncs
# directly in the operator methods. One should also note that this
# sort of trick wouldn't work for functions like searchsorted, which
# don't do normal broadcasting, but there aren't any functions like
# that in the array API namespace.
if x1.ndim == 0 and x2.ndim != 0:
# The _array[None] workaround was chosen because it is relatively
# performant. broadcast_to(x1._array, x2.shape) is much slower. We
# could also manually type promote x2, but that is more complicated
# and about the same performance as this.
x1 = Array._new(x1._array[None])
elif x2.ndim == 0 and x1.ndim != 0:
x2 = Array._new(x2._array[None])
return (x1, x2)
# Note: A large fraction of allowed indices are disallowed here (see the
# docstring below)
def _validate_index(self, key):
"""
Validate an index according to the array API.
The array API specification only requires a subset of indices that are
supported by NumPy. This function will reject any index that is
allowed by NumPy but not required by the array API specification. We
always raise ``IndexError`` on such indices (the spec does not require
any specific behavior on them, but this makes the NumPy array API
namespace a minimal implementation of the spec). See
https://data-apis.org/array-api/latest/API_specification/indexing.html
for the full list of required indexing behavior
This function raises IndexError if the index ``key`` is invalid. It
only raises ``IndexError`` on indices that are not already rejected by
NumPy, as NumPy will already raise the appropriate error on such
indices. ``shape`` may be None, in which case, only cases that are
independent of the array shape are checked.
The following cases are allowed by NumPy, but not specified by the array
API specification:
- Indices to not include an implicit ellipsis at the end. That is,
every axis of an array must be explicitly indexed or an ellipsis
included. This behaviour is sometimes referred to as flat indexing.
- The start and stop of a slice may not be out of bounds. In
particular, for a slice ``i:j:k`` on an axis of size ``n``, only the
following are allowed:
- ``i`` or ``j`` omitted (``None``).
- ``-n <= i <= max(0, n - 1)``.
- For ``k > 0`` or ``k`` omitted (``None``), ``-n <= j <= n``.
- For ``k < 0``, ``-n - 1 <= j <= max(0, n - 1)``.
- Boolean array indices are not allowed as part of a larger tuple
index.
- Integer array indices are not allowed (with the exception of 0-D
arrays, which are treated the same as scalars).
Additionally, it should be noted that indices that would return a
scalar in NumPy will return a 0-D array. Array scalars are not allowed
in the specification, only 0-D arrays. This is done in the
``Array._new`` constructor, not this function.
"""
_key = key if isinstance(key, tuple) else (key,)
for i in _key:
if isinstance(i, bool) or not (
isinstance(i, SupportsIndex) # i.e. ints
or isinstance(i, slice)
or i == Ellipsis
or i is None
or isinstance(i, Array)
or isinstance(i, np.ndarray)
):
raise IndexError(
f"Single-axes index {i} has {type(i)=}, but only "
"integers, slices (:), ellipsis (...), newaxis (None), "
"zero-dimensional integer arrays and boolean arrays "
"are specified in the Array API."
)
nonexpanding_key = []
single_axes = []
n_ellipsis = 0
key_has_mask = False
for i in _key:
if i is not None:
nonexpanding_key.append(i)
if isinstance(i, Array) or isinstance(i, np.ndarray):
if i.dtype in _boolean_dtypes:
key_has_mask = True
single_axes.append(i)
else:
# i must not be an array here, to avoid elementwise equals
if i == Ellipsis:
n_ellipsis += 1
else:
single_axes.append(i)
n_single_axes = len(single_axes)
if n_ellipsis > 1:
return # handled by ndarray
elif n_ellipsis == 0:
# Note boolean masks must be the sole index, which we check for
# later on.
if not key_has_mask and n_single_axes < self.ndim:
raise IndexError(
f"{self.ndim=}, but the multi-axes index only specifies "
f"{n_single_axes} dimensions. If this was intentional, "
"add a trailing ellipsis (...) which expands into as many "
"slices (:) as necessary - this is what np.ndarray arrays "
"implicitly do, but such flat indexing behaviour is not "
"specified in the Array API."
)
if n_ellipsis == 0:
indexed_shape = self.shape
else:
ellipsis_start = None
for pos, i in enumerate(nonexpanding_key):
if not (isinstance(i, Array) or isinstance(i, np.ndarray)):
if i == Ellipsis:
ellipsis_start = pos
break
assert ellipsis_start is not None # sanity check
ellipsis_end = self.ndim - (n_single_axes - ellipsis_start)
indexed_shape = (
self.shape[:ellipsis_start] + self.shape[ellipsis_end:]
)
for i, side in zip(single_axes, indexed_shape):
if isinstance(i, slice):
if side == 0:
f_range = "0 (or None)"
else:
f_range = f"between -{side} and {side - 1} (or None)"
if i.start is not None:
try:
start = operator.index(i.start)
except TypeError:
pass # handled by ndarray
else:
if not (-side <= start <= side):
raise IndexError(
f"Slice {i} contains {start=}, but should be "
f"{f_range} for an axis of size {side} "
"(out-of-bounds starts are not specified in "
"the Array API)"
)
if i.stop is not None:
try:
stop = operator.index(i.stop)
except TypeError:
pass # handled by ndarray
else:
if not (-side <= stop <= side):
raise IndexError(
f"Slice {i} contains {stop=}, but should be "
f"{f_range} for an axis of size {side} "
"(out-of-bounds stops are not specified in "
"the Array API)"
)
elif isinstance(i, Array):
if i.dtype in _boolean_dtypes and len(_key) != 1:
assert isinstance(key, tuple) # sanity check
raise IndexError(
f"Single-axes index {i} is a boolean array and "
f"{len(key)=}, but masking is only specified in the "
"Array API when the array is the sole index."
)
elif i.dtype in _integer_dtypes and i.ndim != 0:
raise IndexError(
f"Single-axes index {i} is a non-zero-dimensional "
"integer array, but advanced integer indexing is not "
"specified in the Array API."
)
elif isinstance(i, tuple):
raise IndexError(
f"Single-axes index {i} is a tuple, but nested tuple "
"indices are not specified in the Array API."
)
# Everything below this line is required by the spec.
def __abs__(self: Array, /) -> Array:
"""
Performs the operation __abs__.
"""
if self.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in __abs__")
res = self._array.__abs__()
return self.__class__._new(res)
def __add__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __add__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__add__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__add__(other._array)
return self.__class__._new(res)
def __and__(self: Array, other: Union[int, bool, Array], /) -> Array:
"""
Performs the operation __and__.
"""
other = self._check_allowed_dtypes(other, "integer or boolean", "__and__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__and__(other._array)
return self.__class__._new(res)
def __array_namespace__(
self: Array, /, *, api_version: Optional[str] = None
) -> types.ModuleType:
if api_version is not None and not api_version.startswith("2021."):
raise ValueError(f"Unrecognized array API version: {api_version!r}")
return array_api
def __bool__(self: Array, /) -> bool:
"""
Performs the operation __bool__.
"""
# Note: This is an error here.
if self._array.ndim != 0:
raise TypeError("bool is only allowed on arrays with 0 dimensions")
if self.dtype not in _boolean_dtypes:
raise ValueError("bool is only allowed on boolean arrays")
res = self._array.__bool__()
return res
def __dlpack__(self: Array, /, *, stream: None = None) -> PyCapsule:
"""
Performs the operation __dlpack__.
"""
return self._array.__dlpack__(stream=stream)
def __dlpack_device__(self: Array, /) -> Tuple[IntEnum, int]:
"""
Performs the operation __dlpack_device__.
"""
# Note: device support is required for this
return self._array.__dlpack_device__()
def __eq__(self: Array, other: Union[int, float, bool, Array], /) -> Array:
"""
Performs the operation __eq__.
"""
# Even though "all" dtypes are allowed, we still require them to be
# promotable with each other.
other = self._check_allowed_dtypes(other, "all", "__eq__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__eq__(other._array)
return self.__class__._new(res)
def __float__(self: Array, /) -> float:
"""
Performs the operation __float__.
"""
# Note: This is an error here.
if self._array.ndim != 0:
raise TypeError("float is only allowed on arrays with 0 dimensions")
if self.dtype not in _floating_dtypes:
raise ValueError("float is only allowed on floating-point arrays")
res = self._array.__float__()
return res
def __floordiv__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __floordiv__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__floordiv__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__floordiv__(other._array)
return self.__class__._new(res)
def __ge__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __ge__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__ge__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__ge__(other._array)
return self.__class__._new(res)
def __getitem__(
self: Array,
key: Union[
int, slice, ellipsis, Tuple[Union[int, slice, ellipsis], ...], Array
],
/,
) -> Array:
"""
Performs the operation __getitem__.
"""
# Note: Only indices required by the spec are allowed. See the
# docstring of _validate_index
self._validate_index(key)
if isinstance(key, Array):
# Indexing self._array with array_api arrays can be erroneous
key = key._array
res = self._array.__getitem__(key)
return self._new(res)
def __gt__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __gt__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__gt__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__gt__(other._array)
return self.__class__._new(res)
def __int__(self: Array, /) -> int:
"""
Performs the operation __int__.
"""
# Note: This is an error here.
if self._array.ndim != 0:
raise TypeError("int is only allowed on arrays with 0 dimensions")
if self.dtype not in _integer_dtypes:
raise ValueError("int is only allowed on integer arrays")
res = self._array.__int__()
return res
def __index__(self: Array, /) -> int:
"""
Performs the operation __index__.
"""
res = self._array.__index__()
return res
def __invert__(self: Array, /) -> Array:
"""
Performs the operation __invert__.
"""
if self.dtype not in _integer_or_boolean_dtypes:
raise TypeError("Only integer or boolean dtypes are allowed in __invert__")
res = self._array.__invert__()
return self.__class__._new(res)
def __le__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __le__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__le__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__le__(other._array)
return self.__class__._new(res)
def __lshift__(self: Array, other: Union[int, Array], /) -> Array:
"""
Performs the operation __lshift__.
"""
other = self._check_allowed_dtypes(other, "integer", "__lshift__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__lshift__(other._array)
return self.__class__._new(res)
def __lt__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __lt__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__lt__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__lt__(other._array)
return self.__class__._new(res)
def __matmul__(self: Array, other: Array, /) -> Array:
"""
Performs the operation __matmul__.
"""
# matmul is not defined for scalars, but without this, we may get
# the wrong error message from asarray.
other = self._check_allowed_dtypes(other, "numeric", "__matmul__")
if other is NotImplemented:
return other
res = self._array.__matmul__(other._array)
return self.__class__._new(res)
def __mod__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __mod__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__mod__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__mod__(other._array)
return self.__class__._new(res)
def __mul__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __mul__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__mul__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__mul__(other._array)
return self.__class__._new(res)
def __ne__(self: Array, other: Union[int, float, bool, Array], /) -> Array:
"""
Performs the operation __ne__.
"""
other = self._check_allowed_dtypes(other, "all", "__ne__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__ne__(other._array)
return self.__class__._new(res)
def __neg__(self: Array, /) -> Array:
"""
Performs the operation __neg__.
"""
if self.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in __neg__")
res = self._array.__neg__()
return self.__class__._new(res)
def __or__(self: Array, other: Union[int, bool, Array], /) -> Array:
"""
Performs the operation __or__.
"""
other = self._check_allowed_dtypes(other, "integer or boolean", "__or__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__or__(other._array)
return self.__class__._new(res)
def __pos__(self: Array, /) -> Array:
"""
Performs the operation __pos__.
"""
if self.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in __pos__")
res = self._array.__pos__()
return self.__class__._new(res)
def __pow__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __pow__.
"""
from ._elementwise_functions import pow
other = self._check_allowed_dtypes(other, "numeric", "__pow__")
if other is NotImplemented:
return other
# Note: NumPy's __pow__ does not follow type promotion rules for 0-d
# arrays, so we use pow() here instead.
return pow(self, other)
def __rshift__(self: Array, other: Union[int, Array], /) -> Array:
"""
Performs the operation __rshift__.
"""
other = self._check_allowed_dtypes(other, "integer", "__rshift__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__rshift__(other._array)
return self.__class__._new(res)
def __setitem__(
self,
key: Union[
int, slice, ellipsis, Tuple[Union[int, slice, ellipsis], ...], Array
],
value: Union[int, float, bool, Array],
/,
) -> None:
"""
Performs the operation __setitem__.
"""
# Note: Only indices required by the spec are allowed. See the
# docstring of _validate_index
self._validate_index(key)
if isinstance(key, Array):
# Indexing self._array with array_api arrays can be erroneous
key = key._array
self._array.__setitem__(key, asarray(value)._array)
def __sub__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __sub__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__sub__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__sub__(other._array)
return self.__class__._new(res)
# PEP 484 requires int to be a subtype of float, but __truediv__ should
# not accept int.
def __truediv__(self: Array, other: Union[float, Array], /) -> Array:
"""
Performs the operation __truediv__.
"""
other = self._check_allowed_dtypes(other, "floating-point", "__truediv__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__truediv__(other._array)
return self.__class__._new(res)
def __xor__(self: Array, other: Union[int, bool, Array], /) -> Array:
"""
Performs the operation __xor__.
"""
other = self._check_allowed_dtypes(other, "integer or boolean", "__xor__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__xor__(other._array)
return self.__class__._new(res)
def __iadd__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __iadd__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__iadd__")
if other is NotImplemented:
return other
self._array.__iadd__(other._array)
return self
def __radd__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __radd__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__radd__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__radd__(other._array)
return self.__class__._new(res)
def __iand__(self: Array, other: Union[int, bool, Array], /) -> Array:
"""
Performs the operation __iand__.
"""
other = self._check_allowed_dtypes(other, "integer or boolean", "__iand__")
if other is NotImplemented:
return other
self._array.__iand__(other._array)
return self
def __rand__(self: Array, other: Union[int, bool, Array], /) -> Array:
"""
Performs the operation __rand__.
"""
other = self._check_allowed_dtypes(other, "integer or boolean", "__rand__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__rand__(other._array)
return self.__class__._new(res)
def __ifloordiv__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __ifloordiv__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__ifloordiv__")
if other is NotImplemented:
return other
self._array.__ifloordiv__(other._array)
return self
def __rfloordiv__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __rfloordiv__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__rfloordiv__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__rfloordiv__(other._array)
return self.__class__._new(res)
def __ilshift__(self: Array, other: Union[int, Array], /) -> Array:
"""
Performs the operation __ilshift__.
"""
other = self._check_allowed_dtypes(other, "integer", "__ilshift__")
if other is NotImplemented:
return other
self._array.__ilshift__(other._array)
return self
def __rlshift__(self: Array, other: Union[int, Array], /) -> Array:
"""
Performs the operation __rlshift__.
"""
other = self._check_allowed_dtypes(other, "integer", "__rlshift__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__rlshift__(other._array)
return self.__class__._new(res)
def __imatmul__(self: Array, other: Array, /) -> Array:
"""
Performs the operation __imatmul__.
"""
# Note: NumPy does not implement __imatmul__.
# matmul is not defined for scalars, but without this, we may get
# the wrong error message from asarray.
other = self._check_allowed_dtypes(other, "numeric", "__imatmul__")
if other is NotImplemented:
return other
# __imatmul__ can only be allowed when it would not change the shape
# of self.
other_shape = other.shape
if self.shape == () or other_shape == ():
raise ValueError("@= requires at least one dimension")
if len(other_shape) == 1 or other_shape[-1] != other_shape[-2]:
raise ValueError("@= cannot change the shape of the input array")
self._array[:] = self._array.__matmul__(other._array)
return self
def __rmatmul__(self: Array, other: Array, /) -> Array:
"""
Performs the operation __rmatmul__.
"""
# matmul is not defined for scalars, but without this, we may get
# the wrong error message from asarray.
other = self._check_allowed_dtypes(other, "numeric", "__rmatmul__")
if other is NotImplemented:
return other
res = self._array.__rmatmul__(other._array)
return self.__class__._new(res)
def __imod__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __imod__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__imod__")
if other is NotImplemented:
return other
self._array.__imod__(other._array)
return self
def __rmod__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __rmod__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__rmod__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__rmod__(other._array)
return self.__class__._new(res)
def __imul__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __imul__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__imul__")
if other is NotImplemented:
return other
self._array.__imul__(other._array)
return self
def __rmul__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __rmul__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__rmul__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__rmul__(other._array)
return self.__class__._new(res)
def __ior__(self: Array, other: Union[int, bool, Array], /) -> Array:
"""
Performs the operation __ior__.
"""
other = self._check_allowed_dtypes(other, "integer or boolean", "__ior__")
if other is NotImplemented:
return other
self._array.__ior__(other._array)
return self
def __ror__(self: Array, other: Union[int, bool, Array], /) -> Array:
"""
Performs the operation __ror__.
"""
other = self._check_allowed_dtypes(other, "integer or boolean", "__ror__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__ror__(other._array)
return self.__class__._new(res)
def __ipow__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __ipow__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__ipow__")
if other is NotImplemented:
return other
self._array.__ipow__(other._array)
return self
def __rpow__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __rpow__.
"""
from ._elementwise_functions import pow
other = self._check_allowed_dtypes(other, "numeric", "__rpow__")
if other is NotImplemented:
return other
# Note: NumPy's __pow__ does not follow the spec type promotion rules
# for 0-d arrays, so we use pow() here instead.
return pow(other, self)
def __irshift__(self: Array, other: Union[int, Array], /) -> Array:
"""
Performs the operation __irshift__.
"""
other = self._check_allowed_dtypes(other, "integer", "__irshift__")
if other is NotImplemented:
return other
self._array.__irshift__(other._array)
return self
def __rrshift__(self: Array, other: Union[int, Array], /) -> Array:
"""
Performs the operation __rrshift__.
"""
other = self._check_allowed_dtypes(other, "integer", "__rrshift__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__rrshift__(other._array)
return self.__class__._new(res)
def __isub__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __isub__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__isub__")
if other is NotImplemented:
return other
self._array.__isub__(other._array)
return self
def __rsub__(self: Array, other: Union[int, float, Array], /) -> Array:
"""
Performs the operation __rsub__.
"""
other = self._check_allowed_dtypes(other, "numeric", "__rsub__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__rsub__(other._array)
return self.__class__._new(res)
def __itruediv__(self: Array, other: Union[float, Array], /) -> Array:
"""
Performs the operation __itruediv__.
"""
other = self._check_allowed_dtypes(other, "floating-point", "__itruediv__")
if other is NotImplemented:
return other
self._array.__itruediv__(other._array)
return self
def __rtruediv__(self: Array, other: Union[float, Array], /) -> Array:
"""
Performs the operation __rtruediv__.
"""
other = self._check_allowed_dtypes(other, "floating-point", "__rtruediv__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__rtruediv__(other._array)
return self.__class__._new(res)
def __ixor__(self: Array, other: Union[int, bool, Array], /) -> Array:
"""
Performs the operation __ixor__.
"""
other = self._check_allowed_dtypes(other, "integer or boolean", "__ixor__")
if other is NotImplemented:
return other
self._array.__ixor__(other._array)
return self
def __rxor__(self: Array, other: Union[int, bool, Array], /) -> Array:
"""
Performs the operation __rxor__.
"""
other = self._check_allowed_dtypes(other, "integer or boolean", "__rxor__")
if other is NotImplemented:
return other
self, other = self._normalize_two_args(self, other)
res = self._array.__rxor__(other._array)
return self.__class__._new(res)
def to_device(self: Array, device: Device, /, stream: None = None) -> Array:
if stream is not None:
raise ValueError("The stream argument to to_device() is not supported")
if device == 'cpu':
return self
raise ValueError(f"Unsupported device {device!r}")
@property
def dtype(self) -> Dtype:
"""
Array API compatible wrapper for :py:meth:`np.ndarray.dtype <numpy.ndarray.dtype>`.
See its docstring for more information.
"""
return self._array.dtype
@property
def device(self) -> Device:
return "cpu"
# Note: mT is new in array API spec (see matrix_transpose)
@property
def mT(self) -> Array:
from .linalg import matrix_transpose
return matrix_transpose(self)
@property
def ndim(self) -> int:
"""
Array API compatible wrapper for :py:meth:`np.ndarray.ndim <numpy.ndarray.ndim>`.
See its docstring for more information.
"""
return self._array.ndim
@property
def shape(self) -> Tuple[int, ...]:
"""
Array API compatible wrapper for :py:meth:`np.ndarray.shape <numpy.ndarray.shape>`.
See its docstring for more information.
"""
return self._array.shape
@property
def size(self) -> int:
"""
Array API compatible wrapper for :py:meth:`np.ndarray.size <numpy.ndarray.size>`.
See its docstring for more information.
"""
return self._array.size
@property
def T(self) -> Array:
"""
Array API compatible wrapper for :py:meth:`np.ndarray.T <numpy.ndarray.T>`.
See its docstring for more information.
"""
# Note: T only works on 2-dimensional arrays. See the corresponding
# note in the specification:
# https://data-apis.org/array-api/latest/API_specification/array_object.html#t
if self.ndim != 2:
raise ValueError("x.T requires x to have 2 dimensions. Use x.mT to transpose stacks of matrices and permute_dims() to permute dimensions.")
return self.__class__._new(self._array.T)
| 43,226 | Python | 37.630027 | 151 | 0.556262 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/linalg.py | from __future__ import annotations
from ._dtypes import _floating_dtypes, _numeric_dtypes
from ._array_object import Array
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from ._typing import Literal, Optional, Sequence, Tuple, Union
from typing import NamedTuple
import numpy.linalg
import numpy as np
class EighResult(NamedTuple):
eigenvalues: Array
eigenvectors: Array
class QRResult(NamedTuple):
Q: Array
R: Array
class SlogdetResult(NamedTuple):
sign: Array
logabsdet: Array
class SVDResult(NamedTuple):
U: Array
S: Array
Vh: Array
# Note: the inclusion of the upper keyword is different from
# np.linalg.cholesky, which does not have it.
def cholesky(x: Array, /, *, upper: bool = False) -> Array:
"""
Array API compatible wrapper for :py:func:`np.linalg.cholesky <numpy.linalg.cholesky>`.
See its docstring for more information.
"""
# Note: the restriction to floating-point dtypes only is different from
# np.linalg.cholesky.
if x.dtype not in _floating_dtypes:
raise TypeError('Only floating-point dtypes are allowed in cholesky')
L = np.linalg.cholesky(x._array)
if upper:
return Array._new(L).mT
return Array._new(L)
# Note: cross is the numpy top-level namespace, not np.linalg
def cross(x1: Array, x2: Array, /, *, axis: int = -1) -> Array:
"""
Array API compatible wrapper for :py:func:`np.cross <numpy.cross>`.
See its docstring for more information.
"""
if x1.dtype not in _numeric_dtypes or x2.dtype not in _numeric_dtypes:
raise TypeError('Only numeric dtypes are allowed in cross')
# Note: this is different from np.cross(), which broadcasts
if x1.shape != x2.shape:
raise ValueError('x1 and x2 must have the same shape')
if x1.ndim == 0:
raise ValueError('cross() requires arrays of dimension at least 1')
# Note: this is different from np.cross(), which allows dimension 2
if x1.shape[axis] != 3:
raise ValueError('cross() dimension must equal 3')
return Array._new(np.cross(x1._array, x2._array, axis=axis))
def det(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.linalg.det <numpy.linalg.det>`.
See its docstring for more information.
"""
# Note: the restriction to floating-point dtypes only is different from
# np.linalg.det.
if x.dtype not in _floating_dtypes:
raise TypeError('Only floating-point dtypes are allowed in det')
return Array._new(np.linalg.det(x._array))
# Note: diagonal is the numpy top-level namespace, not np.linalg
def diagonal(x: Array, /, *, offset: int = 0) -> Array:
"""
Array API compatible wrapper for :py:func:`np.diagonal <numpy.diagonal>`.
See its docstring for more information.
"""
# Note: diagonal always operates on the last two axes, whereas np.diagonal
# operates on the first two axes by default
return Array._new(np.diagonal(x._array, offset=offset, axis1=-2, axis2=-1))
def eigh(x: Array, /) -> EighResult:
"""
Array API compatible wrapper for :py:func:`np.linalg.eigh <numpy.linalg.eigh>`.
See its docstring for more information.
"""
# Note: the restriction to floating-point dtypes only is different from
# np.linalg.eigh.
if x.dtype not in _floating_dtypes:
raise TypeError('Only floating-point dtypes are allowed in eigh')
# Note: the return type here is a namedtuple, which is different from
# np.eigh, which only returns a tuple.
return EighResult(*map(Array._new, np.linalg.eigh(x._array)))
def eigvalsh(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.linalg.eigvalsh <numpy.linalg.eigvalsh>`.
See its docstring for more information.
"""
# Note: the restriction to floating-point dtypes only is different from
# np.linalg.eigvalsh.
if x.dtype not in _floating_dtypes:
raise TypeError('Only floating-point dtypes are allowed in eigvalsh')
return Array._new(np.linalg.eigvalsh(x._array))
def inv(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.linalg.inv <numpy.linalg.inv>`.
See its docstring for more information.
"""
# Note: the restriction to floating-point dtypes only is different from
# np.linalg.inv.
if x.dtype not in _floating_dtypes:
raise TypeError('Only floating-point dtypes are allowed in inv')
return Array._new(np.linalg.inv(x._array))
# Note: matmul is the numpy top-level namespace but not in np.linalg
def matmul(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.matmul <numpy.matmul>`.
See its docstring for more information.
"""
# Note: the restriction to numeric dtypes only is different from
# np.matmul.
if x1.dtype not in _numeric_dtypes or x2.dtype not in _numeric_dtypes:
raise TypeError('Only numeric dtypes are allowed in matmul')
return Array._new(np.matmul(x1._array, x2._array))
# Note: the name here is different from norm(). The array API norm is split
# into matrix_norm and vector_norm().
# The type for ord should be Optional[Union[int, float, Literal[np.inf,
# -np.inf, 'fro', 'nuc']]], but Literal does not support floating-point
# literals.
def matrix_norm(x: Array, /, *, keepdims: bool = False, ord: Optional[Union[int, float, Literal['fro', 'nuc']]] = 'fro') -> Array:
"""
Array API compatible wrapper for :py:func:`np.linalg.norm <numpy.linalg.norm>`.
See its docstring for more information.
"""
# Note: the restriction to floating-point dtypes only is different from
# np.linalg.norm.
if x.dtype not in _floating_dtypes:
raise TypeError('Only floating-point dtypes are allowed in matrix_norm')
return Array._new(np.linalg.norm(x._array, axis=(-2, -1), keepdims=keepdims, ord=ord))
def matrix_power(x: Array, n: int, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.matrix_power <numpy.matrix_power>`.
See its docstring for more information.
"""
# Note: the restriction to floating-point dtypes only is different from
# np.linalg.matrix_power.
if x.dtype not in _floating_dtypes:
raise TypeError('Only floating-point dtypes are allowed for the first argument of matrix_power')
# np.matrix_power already checks if n is an integer
return Array._new(np.linalg.matrix_power(x._array, n))
# Note: the keyword argument name rtol is different from np.linalg.matrix_rank
def matrix_rank(x: Array, /, *, rtol: Optional[Union[float, Array]] = None) -> Array:
"""
Array API compatible wrapper for :py:func:`np.matrix_rank <numpy.matrix_rank>`.
See its docstring for more information.
"""
# Note: this is different from np.linalg.matrix_rank, which supports 1
# dimensional arrays.
if x.ndim < 2:
raise np.linalg.LinAlgError("1-dimensional array given. Array must be at least two-dimensional")
S = np.linalg.svd(x._array, compute_uv=False)
if rtol is None:
tol = S.max(axis=-1, keepdims=True) * max(x.shape[-2:]) * np.finfo(S.dtype).eps
else:
if isinstance(rtol, Array):
rtol = rtol._array
# Note: this is different from np.linalg.matrix_rank, which does not multiply
# the tolerance by the largest singular value.
tol = S.max(axis=-1, keepdims=True)*np.asarray(rtol)[..., np.newaxis]
return Array._new(np.count_nonzero(S > tol, axis=-1))
# Note: this function is new in the array API spec. Unlike transpose, it only
# transposes the last two axes.
def matrix_transpose(x: Array, /) -> Array:
if x.ndim < 2:
raise ValueError("x must be at least 2-dimensional for matrix_transpose")
return Array._new(np.swapaxes(x._array, -1, -2))
# Note: outer is the numpy top-level namespace, not np.linalg
def outer(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.outer <numpy.outer>`.
See its docstring for more information.
"""
# Note: the restriction to numeric dtypes only is different from
# np.outer.
if x1.dtype not in _numeric_dtypes or x2.dtype not in _numeric_dtypes:
raise TypeError('Only numeric dtypes are allowed in outer')
# Note: the restriction to only 1-dim arrays is different from np.outer
if x1.ndim != 1 or x2.ndim != 1:
raise ValueError('The input arrays to outer must be 1-dimensional')
return Array._new(np.outer(x1._array, x2._array))
# Note: the keyword argument name rtol is different from np.linalg.pinv
def pinv(x: Array, /, *, rtol: Optional[Union[float, Array]] = None) -> Array:
"""
Array API compatible wrapper for :py:func:`np.linalg.pinv <numpy.linalg.pinv>`.
See its docstring for more information.
"""
# Note: the restriction to floating-point dtypes only is different from
# np.linalg.pinv.
if x.dtype not in _floating_dtypes:
raise TypeError('Only floating-point dtypes are allowed in pinv')
# Note: this is different from np.linalg.pinv, which does not multiply the
# default tolerance by max(M, N).
if rtol is None:
rtol = max(x.shape[-2:]) * np.finfo(x.dtype).eps
return Array._new(np.linalg.pinv(x._array, rcond=rtol))
def qr(x: Array, /, *, mode: Literal['reduced', 'complete'] = 'reduced') -> QRResult:
"""
Array API compatible wrapper for :py:func:`np.linalg.qr <numpy.linalg.qr>`.
See its docstring for more information.
"""
# Note: the restriction to floating-point dtypes only is different from
# np.linalg.qr.
if x.dtype not in _floating_dtypes:
raise TypeError('Only floating-point dtypes are allowed in qr')
# Note: the return type here is a namedtuple, which is different from
# np.linalg.qr, which only returns a tuple.
return QRResult(*map(Array._new, np.linalg.qr(x._array, mode=mode)))
def slogdet(x: Array, /) -> SlogdetResult:
"""
Array API compatible wrapper for :py:func:`np.linalg.slogdet <numpy.linalg.slogdet>`.
See its docstring for more information.
"""
# Note: the restriction to floating-point dtypes only is different from
# np.linalg.slogdet.
if x.dtype not in _floating_dtypes:
raise TypeError('Only floating-point dtypes are allowed in slogdet')
# Note: the return type here is a namedtuple, which is different from
# np.linalg.slogdet, which only returns a tuple.
return SlogdetResult(*map(Array._new, np.linalg.slogdet(x._array)))
# Note: unlike np.linalg.solve, the array API solve() only accepts x2 as a
# vector when it is exactly 1-dimensional. All other cases treat x2 as a stack
# of matrices. The np.linalg.solve behavior of allowing stacks of both
# matrices and vectors is ambiguous c.f.
# https://github.com/numpy/numpy/issues/15349 and
# https://github.com/data-apis/array-api/issues/285.
# To workaround this, the below is the code from np.linalg.solve except
# only calling solve1 in the exactly 1D case.
def _solve(a, b):
from ..linalg.linalg import (_makearray, _assert_stacked_2d,
_assert_stacked_square, _commonType,
isComplexType, get_linalg_error_extobj,
_raise_linalgerror_singular)
from ..linalg import _umath_linalg
a, _ = _makearray(a)
_assert_stacked_2d(a)
_assert_stacked_square(a)
b, wrap = _makearray(b)
t, result_t = _commonType(a, b)
# This part is different from np.linalg.solve
if b.ndim == 1:
gufunc = _umath_linalg.solve1
else:
gufunc = _umath_linalg.solve
# This does nothing currently but is left in because it will be relevant
# when complex dtype support is added to the spec in 2022.
signature = 'DD->D' if isComplexType(t) else 'dd->d'
extobj = get_linalg_error_extobj(_raise_linalgerror_singular)
r = gufunc(a, b, signature=signature, extobj=extobj)
return wrap(r.astype(result_t, copy=False))
def solve(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.linalg.solve <numpy.linalg.solve>`.
See its docstring for more information.
"""
# Note: the restriction to floating-point dtypes only is different from
# np.linalg.solve.
if x1.dtype not in _floating_dtypes or x2.dtype not in _floating_dtypes:
raise TypeError('Only floating-point dtypes are allowed in solve')
return Array._new(_solve(x1._array, x2._array))
def svd(x: Array, /, *, full_matrices: bool = True) -> SVDResult:
"""
Array API compatible wrapper for :py:func:`np.linalg.svd <numpy.linalg.svd>`.
See its docstring for more information.
"""
# Note: the restriction to floating-point dtypes only is different from
# np.linalg.svd.
if x.dtype not in _floating_dtypes:
raise TypeError('Only floating-point dtypes are allowed in svd')
# Note: the return type here is a namedtuple, which is different from
# np.svd, which only returns a tuple.
return SVDResult(*map(Array._new, np.linalg.svd(x._array, full_matrices=full_matrices)))
# Note: svdvals is not in NumPy (but it is in SciPy). It is equivalent to
# np.linalg.svd(compute_uv=False).
def svdvals(x: Array, /) -> Union[Array, Tuple[Array, ...]]:
if x.dtype not in _floating_dtypes:
raise TypeError('Only floating-point dtypes are allowed in svdvals')
return Array._new(np.linalg.svd(x._array, compute_uv=False))
# Note: tensordot is the numpy top-level namespace but not in np.linalg
# Note: axes must be a tuple, unlike np.tensordot where it can be an array or array-like.
def tensordot(x1: Array, x2: Array, /, *, axes: Union[int, Tuple[Sequence[int], Sequence[int]]] = 2) -> Array:
# Note: the restriction to numeric dtypes only is different from
# np.tensordot.
if x1.dtype not in _numeric_dtypes or x2.dtype not in _numeric_dtypes:
raise TypeError('Only numeric dtypes are allowed in tensordot')
return Array._new(np.tensordot(x1._array, x2._array, axes=axes))
# Note: trace is the numpy top-level namespace, not np.linalg
def trace(x: Array, /, *, offset: int = 0) -> Array:
"""
Array API compatible wrapper for :py:func:`np.trace <numpy.trace>`.
See its docstring for more information.
"""
if x.dtype not in _numeric_dtypes:
raise TypeError('Only numeric dtypes are allowed in trace')
# Note: trace always operates on the last two axes, whereas np.trace
# operates on the first two axes by default
return Array._new(np.asarray(np.trace(x._array, offset=offset, axis1=-2, axis2=-1)))
# Note: vecdot is not in NumPy
def vecdot(x1: Array, x2: Array, /, *, axis: int = -1) -> Array:
if x1.dtype not in _numeric_dtypes or x2.dtype not in _numeric_dtypes:
raise TypeError('Only numeric dtypes are allowed in vecdot')
ndim = max(x1.ndim, x2.ndim)
x1_shape = (1,)*(ndim - x1.ndim) + tuple(x1.shape)
x2_shape = (1,)*(ndim - x2.ndim) + tuple(x2.shape)
if x1_shape[axis] != x2_shape[axis]:
raise ValueError("x1 and x2 must have the same size along the given axis")
x1_, x2_ = np.broadcast_arrays(x1._array, x2._array)
x1_ = np.moveaxis(x1_, axis, -1)
x2_ = np.moveaxis(x2_, axis, -1)
res = x1_[..., None, :] @ x2_[..., None]
return Array._new(res[..., 0, 0])
# Note: the name here is different from norm(). The array API norm is split
# into matrix_norm and vector_norm().
# The type for ord should be Optional[Union[int, float, Literal[np.inf,
# -np.inf]]] but Literal does not support floating-point literals.
def vector_norm(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, keepdims: bool = False, ord: Optional[Union[int, float]] = 2) -> Array:
"""
Array API compatible wrapper for :py:func:`np.linalg.norm <numpy.linalg.norm>`.
See its docstring for more information.
"""
# Note: the restriction to floating-point dtypes only is different from
# np.linalg.norm.
if x.dtype not in _floating_dtypes:
raise TypeError('Only floating-point dtypes are allowed in norm')
a = x._array
if axis is None:
a = a.flatten()
axis = 0
elif isinstance(axis, tuple):
# Note: The axis argument supports any number of axes, whereas norm()
# only supports a single axis for vector norm.
rest = tuple(i for i in range(a.ndim) if i not in axis)
newshape = axis + rest
a = np.transpose(a, newshape).reshape((np.prod([a.shape[i] for i in axis]), *[a.shape[i] for i in rest]))
axis = 0
return Array._new(np.linalg.norm(a, axis=axis, keepdims=keepdims, ord=ord))
__all__ = ['cholesky', 'cross', 'det', 'diagonal', 'eigh', 'eigvalsh', 'inv', 'matmul', 'matrix_norm', 'matrix_power', 'matrix_rank', 'matrix_transpose', 'outer', 'pinv', 'qr', 'slogdet', 'solve', 'svd', 'svdvals', 'tensordot', 'trace', 'vecdot', 'vector_norm']
| 16,964 | Python | 39.011792 | 261 | 0.669359 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/__init__.py | """
A NumPy sub-namespace that conforms to the Python array API standard.
This submodule accompanies NEP 47, which proposes its inclusion in NumPy. It
is still considered experimental, and will issue a warning when imported.
This is a proof-of-concept namespace that wraps the corresponding NumPy
functions to give a conforming implementation of the Python array API standard
(https://data-apis.github.io/array-api/latest/). The standard is currently in
an RFC phase and comments on it are both welcome and encouraged. Comments
should be made either at https://github.com/data-apis/array-api or at
https://github.com/data-apis/consortium-feedback/discussions.
NumPy already follows the proposed spec for the most part, so this module
serves mostly as a thin wrapper around it. However, NumPy also implements a
lot of behavior that is not included in the spec, so this serves as a
restricted subset of the API. Only those functions that are part of the spec
are included in this namespace, and all functions are given with the exact
signature given in the spec, including the use of position-only arguments, and
omitting any extra keyword arguments implemented by NumPy but not part of the
spec. The behavior of some functions is also modified from the NumPy behavior
to conform to the standard. Note that the underlying array object itself is
wrapped in a wrapper Array() class, but is otherwise unchanged. This submodule
is implemented in pure Python with no C extensions.
The array API spec is designed as a "minimal API subset" and explicitly allows
libraries to include behaviors not specified by it. But users of this module
that intend to write portable code should be aware that only those behaviors
that are listed in the spec are guaranteed to be implemented across libraries.
Consequently, the NumPy implementation was chosen to be both conforming and
minimal, so that users can use this implementation of the array API namespace
and be sure that behaviors that it defines will be available in conforming
namespaces from other libraries.
A few notes about the current state of this submodule:
- There is a test suite that tests modules against the array API standard at
https://github.com/data-apis/array-api-tests. The test suite is still a work
in progress, but the existing tests pass on this module, with a few
exceptions:
- DLPack support (see https://github.com/data-apis/array-api/pull/106) is
not included here, as it requires a full implementation in NumPy proper
first.
The test suite is not yet complete, and even the tests that exist are not
guaranteed to give a comprehensive coverage of the spec. Therefore, when
reviewing and using this submodule, you should refer to the standard
documents themselves. There are some tests in numpy.array_api.tests, but
they primarily focus on things that are not tested by the official array API
test suite.
- There is a custom array object, numpy.array_api.Array, which is returned by
all functions in this module. All functions in the array API namespace
implicitly assume that they will only receive this object as input. The only
way to create instances of this object is to use one of the array creation
functions. It does not have a public constructor on the object itself. The
object is a small wrapper class around numpy.ndarray. The main purpose of it
is to restrict the namespace of the array object to only those dtypes and
only those methods that are required by the spec, as well as to limit/change
certain behavior that differs in the spec. In particular:
- The array API namespace does not have scalar objects, only 0-D arrays.
Operations on Array that would create a scalar in NumPy create a 0-D
array.
- Indexing: Only a subset of indices supported by NumPy are required by the
spec. The Array object restricts indexing to only allow those types of
indices that are required by the spec. See the docstring of the
numpy.array_api.Array._validate_indices helper function for more
information.
- Type promotion: Some type promotion rules are different in the spec. In
particular, the spec does not have any value-based casting. The spec also
does not require cross-kind casting, like integer -> floating-point. Only
those promotions that are explicitly required by the array API
specification are allowed in this module. See NEP 47 for more info.
- Functions do not automatically call asarray() on their input, and will not
work if the input type is not Array. The exception is array creation
functions, and Python operators on the Array object, which accept Python
scalars of the same type as the array dtype.
- All functions include type annotations, corresponding to those given in the
spec (see _typing.py for definitions of some custom types). These do not
currently fully pass mypy due to some limitations in mypy.
- Dtype objects are just the NumPy dtype objects, e.g., float64 =
np.dtype('float64'). The spec does not require any behavior on these dtype
objects other than that they be accessible by name and be comparable by
equality, but it was considered too much extra complexity to create custom
objects to represent dtypes.
- All places where the implementations in this submodule are known to deviate
from their corresponding functions in NumPy are marked with "# Note:"
comments.
Still TODO in this module are:
- DLPack support for numpy.ndarray is still in progress. See
https://github.com/numpy/numpy/pull/19083.
- The copy=False keyword argument to asarray() is not yet implemented. This
requires support in numpy.asarray() first.
- Some functions are not yet fully tested in the array API test suite, and may
require updates that are not yet known until the tests are written.
- The spec is still in an RFC phase and may still have minor updates, which
will need to be reflected here.
- Complex number support in array API spec is planned but not yet finalized,
as are the fft extension and certain linear algebra functions such as eig
that require complex dtypes.
"""
import warnings
warnings.warn(
"The numpy.array_api submodule is still experimental. See NEP 47.", stacklevel=2
)
__array_api_version__ = "2021.12"
__all__ = ["__array_api_version__"]
from ._constants import e, inf, nan, pi
__all__ += ["e", "inf", "nan", "pi"]
from ._creation_functions import (
asarray,
arange,
empty,
empty_like,
eye,
from_dlpack,
full,
full_like,
linspace,
meshgrid,
ones,
ones_like,
tril,
triu,
zeros,
zeros_like,
)
__all__ += [
"asarray",
"arange",
"empty",
"empty_like",
"eye",
"from_dlpack",
"full",
"full_like",
"linspace",
"meshgrid",
"ones",
"ones_like",
"tril",
"triu",
"zeros",
"zeros_like",
]
from ._data_type_functions import (
astype,
broadcast_arrays,
broadcast_to,
can_cast,
finfo,
iinfo,
result_type,
)
__all__ += [
"astype",
"broadcast_arrays",
"broadcast_to",
"can_cast",
"finfo",
"iinfo",
"result_type",
]
from ._dtypes import (
int8,
int16,
int32,
int64,
uint8,
uint16,
uint32,
uint64,
float32,
float64,
bool,
)
__all__ += [
"int8",
"int16",
"int32",
"int64",
"uint8",
"uint16",
"uint32",
"uint64",
"float32",
"float64",
"bool",
]
from ._elementwise_functions import (
abs,
acos,
acosh,
add,
asin,
asinh,
atan,
atan2,
atanh,
bitwise_and,
bitwise_left_shift,
bitwise_invert,
bitwise_or,
bitwise_right_shift,
bitwise_xor,
ceil,
cos,
cosh,
divide,
equal,
exp,
expm1,
floor,
floor_divide,
greater,
greater_equal,
isfinite,
isinf,
isnan,
less,
less_equal,
log,
log1p,
log2,
log10,
logaddexp,
logical_and,
logical_not,
logical_or,
logical_xor,
multiply,
negative,
not_equal,
positive,
pow,
remainder,
round,
sign,
sin,
sinh,
square,
sqrt,
subtract,
tan,
tanh,
trunc,
)
__all__ += [
"abs",
"acos",
"acosh",
"add",
"asin",
"asinh",
"atan",
"atan2",
"atanh",
"bitwise_and",
"bitwise_left_shift",
"bitwise_invert",
"bitwise_or",
"bitwise_right_shift",
"bitwise_xor",
"ceil",
"cos",
"cosh",
"divide",
"equal",
"exp",
"expm1",
"floor",
"floor_divide",
"greater",
"greater_equal",
"isfinite",
"isinf",
"isnan",
"less",
"less_equal",
"log",
"log1p",
"log2",
"log10",
"logaddexp",
"logical_and",
"logical_not",
"logical_or",
"logical_xor",
"multiply",
"negative",
"not_equal",
"positive",
"pow",
"remainder",
"round",
"sign",
"sin",
"sinh",
"square",
"sqrt",
"subtract",
"tan",
"tanh",
"trunc",
]
# linalg is an extension in the array API spec, which is a sub-namespace. Only
# a subset of functions in it are imported into the top-level namespace.
from . import linalg
__all__ += ["linalg"]
from .linalg import matmul, tensordot, matrix_transpose, vecdot
__all__ += ["matmul", "tensordot", "matrix_transpose", "vecdot"]
from ._manipulation_functions import (
concat,
expand_dims,
flip,
permute_dims,
reshape,
roll,
squeeze,
stack,
)
__all__ += ["concat", "expand_dims", "flip", "permute_dims", "reshape", "roll", "squeeze", "stack"]
from ._searching_functions import argmax, argmin, nonzero, where
__all__ += ["argmax", "argmin", "nonzero", "where"]
from ._set_functions import unique_all, unique_counts, unique_inverse, unique_values
__all__ += ["unique_all", "unique_counts", "unique_inverse", "unique_values"]
from ._sorting_functions import argsort, sort
__all__ += ["argsort", "sort"]
from ._statistical_functions import max, mean, min, prod, std, sum, var
__all__ += ["max", "mean", "min", "prod", "std", "sum", "var"]
from ._utility_functions import all, any
__all__ += ["all", "any"]
| 10,221 | Python | 26.042328 | 99 | 0.681832 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/_data_type_functions.py | from __future__ import annotations
from ._array_object import Array
from ._dtypes import _all_dtypes, _result_type
from dataclasses import dataclass
from typing import TYPE_CHECKING, List, Tuple, Union
if TYPE_CHECKING:
from ._typing import Dtype
from collections.abc import Sequence
import numpy as np
# Note: astype is a function, not an array method as in NumPy.
def astype(x: Array, dtype: Dtype, /, *, copy: bool = True) -> Array:
if not copy and dtype == x.dtype:
return x
return Array._new(x._array.astype(dtype=dtype, copy=copy))
def broadcast_arrays(*arrays: Array) -> List[Array]:
"""
Array API compatible wrapper for :py:func:`np.broadcast_arrays <numpy.broadcast_arrays>`.
See its docstring for more information.
"""
from ._array_object import Array
return [
Array._new(array) for array in np.broadcast_arrays(*[a._array for a in arrays])
]
def broadcast_to(x: Array, /, shape: Tuple[int, ...]) -> Array:
"""
Array API compatible wrapper for :py:func:`np.broadcast_to <numpy.broadcast_to>`.
See its docstring for more information.
"""
from ._array_object import Array
return Array._new(np.broadcast_to(x._array, shape))
def can_cast(from_: Union[Dtype, Array], to: Dtype, /) -> bool:
"""
Array API compatible wrapper for :py:func:`np.can_cast <numpy.can_cast>`.
See its docstring for more information.
"""
if isinstance(from_, Array):
from_ = from_.dtype
elif from_ not in _all_dtypes:
raise TypeError(f"{from_=}, but should be an array_api array or dtype")
if to not in _all_dtypes:
raise TypeError(f"{to=}, but should be a dtype")
# Note: We avoid np.can_cast() as it has discrepancies with the array API,
# since NumPy allows cross-kind casting (e.g., NumPy allows bool -> int8).
# See https://github.com/numpy/numpy/issues/20870
try:
# We promote `from_` and `to` together. We then check if the promoted
# dtype is `to`, which indicates if `from_` can (up)cast to `to`.
dtype = _result_type(from_, to)
return to == dtype
except TypeError:
# _result_type() raises if the dtypes don't promote together
return False
# These are internal objects for the return types of finfo and iinfo, since
# the NumPy versions contain extra data that isn't part of the spec.
@dataclass
class finfo_object:
bits: int
# Note: The types of the float data here are float, whereas in NumPy they
# are scalars of the corresponding float dtype.
eps: float
max: float
min: float
smallest_normal: float
@dataclass
class iinfo_object:
bits: int
max: int
min: int
def finfo(type: Union[Dtype, Array], /) -> finfo_object:
"""
Array API compatible wrapper for :py:func:`np.finfo <numpy.finfo>`.
See its docstring for more information.
"""
fi = np.finfo(type)
# Note: The types of the float data here are float, whereas in NumPy they
# are scalars of the corresponding float dtype.
return finfo_object(
fi.bits,
float(fi.eps),
float(fi.max),
float(fi.min),
float(fi.smallest_normal),
)
def iinfo(type: Union[Dtype, Array], /) -> iinfo_object:
"""
Array API compatible wrapper for :py:func:`np.iinfo <numpy.iinfo>`.
See its docstring for more information.
"""
ii = np.iinfo(type)
return iinfo_object(ii.bits, ii.max, ii.min)
def result_type(*arrays_and_dtypes: Union[Array, Dtype]) -> Dtype:
"""
Array API compatible wrapper for :py:func:`np.result_type <numpy.result_type>`.
See its docstring for more information.
"""
# Note: we use a custom implementation that gives only the type promotions
# required by the spec rather than using np.result_type. NumPy implements
# too many extra type promotions like int64 + uint64 -> float64, and does
# value-based casting on scalar arrays.
A = []
for a in arrays_and_dtypes:
if isinstance(a, Array):
a = a.dtype
elif isinstance(a, np.ndarray) or a not in _all_dtypes:
raise TypeError("result_type() inputs must be array_api arrays or dtypes")
A.append(a)
if len(A) == 0:
raise ValueError("at least one array or dtype is required")
elif len(A) == 1:
return A[0]
else:
t = A[0]
for t2 in A[1:]:
t = _result_type(t, t2)
return t
| 4,480 | Python | 29.482993 | 93 | 0.641741 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/_searching_functions.py | from __future__ import annotations
from ._array_object import Array
from ._dtypes import _result_type
from typing import Optional, Tuple
import numpy as np
def argmax(x: Array, /, *, axis: Optional[int] = None, keepdims: bool = False) -> Array:
"""
Array API compatible wrapper for :py:func:`np.argmax <numpy.argmax>`.
See its docstring for more information.
"""
return Array._new(np.asarray(np.argmax(x._array, axis=axis, keepdims=keepdims)))
def argmin(x: Array, /, *, axis: Optional[int] = None, keepdims: bool = False) -> Array:
"""
Array API compatible wrapper for :py:func:`np.argmin <numpy.argmin>`.
See its docstring for more information.
"""
return Array._new(np.asarray(np.argmin(x._array, axis=axis, keepdims=keepdims)))
def nonzero(x: Array, /) -> Tuple[Array, ...]:
"""
Array API compatible wrapper for :py:func:`np.nonzero <numpy.nonzero>`.
See its docstring for more information.
"""
return tuple(Array._new(i) for i in np.nonzero(x._array))
def where(condition: Array, x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.where <numpy.where>`.
See its docstring for more information.
"""
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.where(condition._array, x1._array, x2._array))
| 1,457 | Python | 29.374999 | 88 | 0.664379 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/_constants.py | import numpy as np
e = np.e
inf = np.inf
nan = np.nan
pi = np.pi
| 66 | Python | 8.571427 | 18 | 0.621212 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/_typing.py | """
This file defines the types for type annotations.
These names aren't part of the module namespace, but they are used in the
annotations in the function signatures. The functions in the module are only
valid for inputs that match the given type annotations.
"""
from __future__ import annotations
__all__ = [
"Array",
"Device",
"Dtype",
"SupportsDLPack",
"SupportsBufferProtocol",
"PyCapsule",
]
import sys
from typing import (
Any,
Literal,
Sequence,
Type,
Union,
TYPE_CHECKING,
TypeVar,
Protocol,
)
from ._array_object import Array
from numpy import (
dtype,
int8,
int16,
int32,
int64,
uint8,
uint16,
uint32,
uint64,
float32,
float64,
)
_T_co = TypeVar("_T_co", covariant=True)
class NestedSequence(Protocol[_T_co]):
def __getitem__(self, key: int, /) -> _T_co | NestedSequence[_T_co]: ...
def __len__(self, /) -> int: ...
Device = Literal["cpu"]
if TYPE_CHECKING or sys.version_info >= (3, 9):
Dtype = dtype[Union[
int8,
int16,
int32,
int64,
uint8,
uint16,
uint32,
uint64,
float32,
float64,
]]
else:
Dtype = dtype
SupportsBufferProtocol = Any
PyCapsule = Any
class SupportsDLPack(Protocol):
def __dlpack__(self, /, *, stream: None = ...) -> PyCapsule: ...
| 1,376 | Python | 17.36 | 76 | 0.595203 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/_statistical_functions.py | from __future__ import annotations
from ._dtypes import (
_floating_dtypes,
_numeric_dtypes,
)
from ._array_object import Array
from ._creation_functions import asarray
from ._dtypes import float32, float64
from typing import TYPE_CHECKING, Optional, Tuple, Union
if TYPE_CHECKING:
from ._typing import Dtype
import numpy as np
def max(
x: Array,
/,
*,
axis: Optional[Union[int, Tuple[int, ...]]] = None,
keepdims: bool = False,
) -> Array:
if x.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in max")
return Array._new(np.max(x._array, axis=axis, keepdims=keepdims))
def mean(
x: Array,
/,
*,
axis: Optional[Union[int, Tuple[int, ...]]] = None,
keepdims: bool = False,
) -> Array:
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in mean")
return Array._new(np.mean(x._array, axis=axis, keepdims=keepdims))
def min(
x: Array,
/,
*,
axis: Optional[Union[int, Tuple[int, ...]]] = None,
keepdims: bool = False,
) -> Array:
if x.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in min")
return Array._new(np.min(x._array, axis=axis, keepdims=keepdims))
def prod(
x: Array,
/,
*,
axis: Optional[Union[int, Tuple[int, ...]]] = None,
dtype: Optional[Dtype] = None,
keepdims: bool = False,
) -> Array:
if x.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in prod")
# Note: sum() and prod() always upcast float32 to float64 for dtype=None
# We need to do so here before computing the product to avoid overflow
if dtype is None and x.dtype == float32:
dtype = float64
return Array._new(np.prod(x._array, dtype=dtype, axis=axis, keepdims=keepdims))
def std(
x: Array,
/,
*,
axis: Optional[Union[int, Tuple[int, ...]]] = None,
correction: Union[int, float] = 0.0,
keepdims: bool = False,
) -> Array:
# Note: the keyword argument correction is different here
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in std")
return Array._new(np.std(x._array, axis=axis, ddof=correction, keepdims=keepdims))
def sum(
x: Array,
/,
*,
axis: Optional[Union[int, Tuple[int, ...]]] = None,
dtype: Optional[Dtype] = None,
keepdims: bool = False,
) -> Array:
if x.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in sum")
# Note: sum() and prod() always upcast integers to (u)int64 and float32 to
# float64 for dtype=None. `np.sum` does that too for integers, but not for
# float32, so we need to special-case it here
if dtype is None and x.dtype == float32:
dtype = float64
return Array._new(np.sum(x._array, axis=axis, dtype=dtype, keepdims=keepdims))
def var(
x: Array,
/,
*,
axis: Optional[Union[int, Tuple[int, ...]]] = None,
correction: Union[int, float] = 0.0,
keepdims: bool = False,
) -> Array:
# Note: the keyword argument correction is different here
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in var")
return Array._new(np.var(x._array, axis=axis, ddof=correction, keepdims=keepdims))
| 3,378 | Python | 28.12931 | 86 | 0.64032 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/_manipulation_functions.py | from __future__ import annotations
from ._array_object import Array
from ._data_type_functions import result_type
from typing import List, Optional, Tuple, Union
import numpy as np
# Note: the function name is different here
def concat(
arrays: Union[Tuple[Array, ...], List[Array]], /, *, axis: Optional[int] = 0
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.concatenate <numpy.concatenate>`.
See its docstring for more information.
"""
# Note: Casting rules here are different from the np.concatenate default
# (no for scalars with axis=None, no cross-kind casting)
dtype = result_type(*arrays)
arrays = tuple(a._array for a in arrays)
return Array._new(np.concatenate(arrays, axis=axis, dtype=dtype))
def expand_dims(x: Array, /, *, axis: int) -> Array:
"""
Array API compatible wrapper for :py:func:`np.expand_dims <numpy.expand_dims>`.
See its docstring for more information.
"""
return Array._new(np.expand_dims(x._array, axis))
def flip(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None) -> Array:
"""
Array API compatible wrapper for :py:func:`np.flip <numpy.flip>`.
See its docstring for more information.
"""
return Array._new(np.flip(x._array, axis=axis))
# Note: The function name is different here (see also matrix_transpose).
# Unlike transpose(), the axes argument is required.
def permute_dims(x: Array, /, axes: Tuple[int, ...]) -> Array:
"""
Array API compatible wrapper for :py:func:`np.transpose <numpy.transpose>`.
See its docstring for more information.
"""
return Array._new(np.transpose(x._array, axes))
def reshape(x: Array, /, shape: Tuple[int, ...]) -> Array:
"""
Array API compatible wrapper for :py:func:`np.reshape <numpy.reshape>`.
See its docstring for more information.
"""
return Array._new(np.reshape(x._array, shape))
def roll(
x: Array,
/,
shift: Union[int, Tuple[int, ...]],
*,
axis: Optional[Union[int, Tuple[int, ...]]] = None,
) -> Array:
"""
Array API compatible wrapper for :py:func:`np.roll <numpy.roll>`.
See its docstring for more information.
"""
return Array._new(np.roll(x._array, shift, axis=axis))
def squeeze(x: Array, /, axis: Union[int, Tuple[int, ...]]) -> Array:
"""
Array API compatible wrapper for :py:func:`np.squeeze <numpy.squeeze>`.
See its docstring for more information.
"""
return Array._new(np.squeeze(x._array, axis=axis))
def stack(arrays: Union[Tuple[Array, ...], List[Array]], /, *, axis: int = 0) -> Array:
"""
Array API compatible wrapper for :py:func:`np.stack <numpy.stack>`.
See its docstring for more information.
"""
# Call result type here just to raise on disallowed type combinations
result_type(*arrays)
arrays = tuple(a._array for a in arrays)
return Array._new(np.stack(arrays, axis=axis))
| 2,944 | Python | 29.05102 | 87 | 0.648098 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/_set_functions.py | from __future__ import annotations
from ._array_object import Array
from typing import NamedTuple
import numpy as np
# Note: np.unique() is split into four functions in the array API:
# unique_all, unique_counts, unique_inverse, and unique_values (this is done
# to remove polymorphic return types).
# Note: The various unique() functions are supposed to return multiple NaNs.
# This does not match the NumPy behavior, however, this is currently left as a
# TODO in this implementation as this behavior may be reverted in np.unique().
# See https://github.com/numpy/numpy/issues/20326.
# Note: The functions here return a namedtuple (np.unique() returns a normal
# tuple).
class UniqueAllResult(NamedTuple):
values: Array
indices: Array
inverse_indices: Array
counts: Array
class UniqueCountsResult(NamedTuple):
values: Array
counts: Array
class UniqueInverseResult(NamedTuple):
values: Array
inverse_indices: Array
def unique_all(x: Array, /) -> UniqueAllResult:
"""
Array API compatible wrapper for :py:func:`np.unique <numpy.unique>`.
See its docstring for more information.
"""
values, indices, inverse_indices, counts = np.unique(
x._array,
return_counts=True,
return_index=True,
return_inverse=True,
)
# np.unique() flattens inverse indices, but they need to share x's shape
# See https://github.com/numpy/numpy/issues/20638
inverse_indices = inverse_indices.reshape(x.shape)
return UniqueAllResult(
Array._new(values),
Array._new(indices),
Array._new(inverse_indices),
Array._new(counts),
)
def unique_counts(x: Array, /) -> UniqueCountsResult:
res = np.unique(
x._array,
return_counts=True,
return_index=False,
return_inverse=False,
)
return UniqueCountsResult(*[Array._new(i) for i in res])
def unique_inverse(x: Array, /) -> UniqueInverseResult:
"""
Array API compatible wrapper for :py:func:`np.unique <numpy.unique>`.
See its docstring for more information.
"""
values, inverse_indices = np.unique(
x._array,
return_counts=False,
return_index=False,
return_inverse=True,
)
# np.unique() flattens inverse indices, but they need to share x's shape
# See https://github.com/numpy/numpy/issues/20638
inverse_indices = inverse_indices.reshape(x.shape)
return UniqueInverseResult(Array._new(values), Array._new(inverse_indices))
def unique_values(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.unique <numpy.unique>`.
See its docstring for more information.
"""
res = np.unique(
x._array,
return_counts=False,
return_index=False,
return_inverse=False,
)
return Array._new(res)
| 2,848 | Python | 26.660194 | 79 | 0.668188 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/_elementwise_functions.py | from __future__ import annotations
from ._dtypes import (
_boolean_dtypes,
_floating_dtypes,
_integer_dtypes,
_integer_or_boolean_dtypes,
_numeric_dtypes,
_result_type,
)
from ._array_object import Array
import numpy as np
def abs(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.abs <numpy.abs>`.
See its docstring for more information.
"""
if x.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in abs")
return Array._new(np.abs(x._array))
# Note: the function name is different here
def acos(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.arccos <numpy.arccos>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in acos")
return Array._new(np.arccos(x._array))
# Note: the function name is different here
def acosh(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.arccosh <numpy.arccosh>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in acosh")
return Array._new(np.arccosh(x._array))
def add(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.add <numpy.add>`.
See its docstring for more information.
"""
if x1.dtype not in _numeric_dtypes or x2.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in add")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.add(x1._array, x2._array))
# Note: the function name is different here
def asin(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.arcsin <numpy.arcsin>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in asin")
return Array._new(np.arcsin(x._array))
# Note: the function name is different here
def asinh(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.arcsinh <numpy.arcsinh>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in asinh")
return Array._new(np.arcsinh(x._array))
# Note: the function name is different here
def atan(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.arctan <numpy.arctan>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in atan")
return Array._new(np.arctan(x._array))
# Note: the function name is different here
def atan2(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.arctan2 <numpy.arctan2>`.
See its docstring for more information.
"""
if x1.dtype not in _floating_dtypes or x2.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in atan2")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.arctan2(x1._array, x2._array))
# Note: the function name is different here
def atanh(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.arctanh <numpy.arctanh>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in atanh")
return Array._new(np.arctanh(x._array))
def bitwise_and(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.bitwise_and <numpy.bitwise_and>`.
See its docstring for more information.
"""
if (
x1.dtype not in _integer_or_boolean_dtypes
or x2.dtype not in _integer_or_boolean_dtypes
):
raise TypeError("Only integer or boolean dtypes are allowed in bitwise_and")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.bitwise_and(x1._array, x2._array))
# Note: the function name is different here
def bitwise_left_shift(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.left_shift <numpy.left_shift>`.
See its docstring for more information.
"""
if x1.dtype not in _integer_dtypes or x2.dtype not in _integer_dtypes:
raise TypeError("Only integer dtypes are allowed in bitwise_left_shift")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
# Note: bitwise_left_shift is only defined for x2 nonnegative.
if np.any(x2._array < 0):
raise ValueError("bitwise_left_shift(x1, x2) is only defined for x2 >= 0")
return Array._new(np.left_shift(x1._array, x2._array))
# Note: the function name is different here
def bitwise_invert(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.invert <numpy.invert>`.
See its docstring for more information.
"""
if x.dtype not in _integer_or_boolean_dtypes:
raise TypeError("Only integer or boolean dtypes are allowed in bitwise_invert")
return Array._new(np.invert(x._array))
def bitwise_or(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.bitwise_or <numpy.bitwise_or>`.
See its docstring for more information.
"""
if (
x1.dtype not in _integer_or_boolean_dtypes
or x2.dtype not in _integer_or_boolean_dtypes
):
raise TypeError("Only integer or boolean dtypes are allowed in bitwise_or")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.bitwise_or(x1._array, x2._array))
# Note: the function name is different here
def bitwise_right_shift(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.right_shift <numpy.right_shift>`.
See its docstring for more information.
"""
if x1.dtype not in _integer_dtypes or x2.dtype not in _integer_dtypes:
raise TypeError("Only integer dtypes are allowed in bitwise_right_shift")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
# Note: bitwise_right_shift is only defined for x2 nonnegative.
if np.any(x2._array < 0):
raise ValueError("bitwise_right_shift(x1, x2) is only defined for x2 >= 0")
return Array._new(np.right_shift(x1._array, x2._array))
def bitwise_xor(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.bitwise_xor <numpy.bitwise_xor>`.
See its docstring for more information.
"""
if (
x1.dtype not in _integer_or_boolean_dtypes
or x2.dtype not in _integer_or_boolean_dtypes
):
raise TypeError("Only integer or boolean dtypes are allowed in bitwise_xor")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.bitwise_xor(x1._array, x2._array))
def ceil(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.ceil <numpy.ceil>`.
See its docstring for more information.
"""
if x.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in ceil")
if x.dtype in _integer_dtypes:
# Note: The return dtype of ceil is the same as the input
return x
return Array._new(np.ceil(x._array))
def cos(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.cos <numpy.cos>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in cos")
return Array._new(np.cos(x._array))
def cosh(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.cosh <numpy.cosh>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in cosh")
return Array._new(np.cosh(x._array))
def divide(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.divide <numpy.divide>`.
See its docstring for more information.
"""
if x1.dtype not in _floating_dtypes or x2.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in divide")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.divide(x1._array, x2._array))
def equal(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.equal <numpy.equal>`.
See its docstring for more information.
"""
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.equal(x1._array, x2._array))
def exp(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.exp <numpy.exp>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in exp")
return Array._new(np.exp(x._array))
def expm1(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.expm1 <numpy.expm1>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in expm1")
return Array._new(np.expm1(x._array))
def floor(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.floor <numpy.floor>`.
See its docstring for more information.
"""
if x.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in floor")
if x.dtype in _integer_dtypes:
# Note: The return dtype of floor is the same as the input
return x
return Array._new(np.floor(x._array))
def floor_divide(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.floor_divide <numpy.floor_divide>`.
See its docstring for more information.
"""
if x1.dtype not in _numeric_dtypes or x2.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in floor_divide")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.floor_divide(x1._array, x2._array))
def greater(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.greater <numpy.greater>`.
See its docstring for more information.
"""
if x1.dtype not in _numeric_dtypes or x2.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in greater")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.greater(x1._array, x2._array))
def greater_equal(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.greater_equal <numpy.greater_equal>`.
See its docstring for more information.
"""
if x1.dtype not in _numeric_dtypes or x2.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in greater_equal")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.greater_equal(x1._array, x2._array))
def isfinite(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.isfinite <numpy.isfinite>`.
See its docstring for more information.
"""
if x.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in isfinite")
return Array._new(np.isfinite(x._array))
def isinf(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.isinf <numpy.isinf>`.
See its docstring for more information.
"""
if x.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in isinf")
return Array._new(np.isinf(x._array))
def isnan(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.isnan <numpy.isnan>`.
See its docstring for more information.
"""
if x.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in isnan")
return Array._new(np.isnan(x._array))
def less(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.less <numpy.less>`.
See its docstring for more information.
"""
if x1.dtype not in _numeric_dtypes or x2.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in less")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.less(x1._array, x2._array))
def less_equal(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.less_equal <numpy.less_equal>`.
See its docstring for more information.
"""
if x1.dtype not in _numeric_dtypes or x2.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in less_equal")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.less_equal(x1._array, x2._array))
def log(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.log <numpy.log>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in log")
return Array._new(np.log(x._array))
def log1p(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.log1p <numpy.log1p>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in log1p")
return Array._new(np.log1p(x._array))
def log2(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.log2 <numpy.log2>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in log2")
return Array._new(np.log2(x._array))
def log10(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.log10 <numpy.log10>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in log10")
return Array._new(np.log10(x._array))
def logaddexp(x1: Array, x2: Array) -> Array:
"""
Array API compatible wrapper for :py:func:`np.logaddexp <numpy.logaddexp>`.
See its docstring for more information.
"""
if x1.dtype not in _floating_dtypes or x2.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in logaddexp")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.logaddexp(x1._array, x2._array))
def logical_and(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.logical_and <numpy.logical_and>`.
See its docstring for more information.
"""
if x1.dtype not in _boolean_dtypes or x2.dtype not in _boolean_dtypes:
raise TypeError("Only boolean dtypes are allowed in logical_and")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.logical_and(x1._array, x2._array))
def logical_not(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.logical_not <numpy.logical_not>`.
See its docstring for more information.
"""
if x.dtype not in _boolean_dtypes:
raise TypeError("Only boolean dtypes are allowed in logical_not")
return Array._new(np.logical_not(x._array))
def logical_or(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.logical_or <numpy.logical_or>`.
See its docstring for more information.
"""
if x1.dtype not in _boolean_dtypes or x2.dtype not in _boolean_dtypes:
raise TypeError("Only boolean dtypes are allowed in logical_or")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.logical_or(x1._array, x2._array))
def logical_xor(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.logical_xor <numpy.logical_xor>`.
See its docstring for more information.
"""
if x1.dtype not in _boolean_dtypes or x2.dtype not in _boolean_dtypes:
raise TypeError("Only boolean dtypes are allowed in logical_xor")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.logical_xor(x1._array, x2._array))
def multiply(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.multiply <numpy.multiply>`.
See its docstring for more information.
"""
if x1.dtype not in _numeric_dtypes or x2.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in multiply")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.multiply(x1._array, x2._array))
def negative(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.negative <numpy.negative>`.
See its docstring for more information.
"""
if x.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in negative")
return Array._new(np.negative(x._array))
def not_equal(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.not_equal <numpy.not_equal>`.
See its docstring for more information.
"""
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.not_equal(x1._array, x2._array))
def positive(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.positive <numpy.positive>`.
See its docstring for more information.
"""
if x.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in positive")
return Array._new(np.positive(x._array))
# Note: the function name is different here
def pow(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.power <numpy.power>`.
See its docstring for more information.
"""
if x1.dtype not in _numeric_dtypes or x2.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in pow")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.power(x1._array, x2._array))
def remainder(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.remainder <numpy.remainder>`.
See its docstring for more information.
"""
if x1.dtype not in _numeric_dtypes or x2.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in remainder")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.remainder(x1._array, x2._array))
def round(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.round <numpy.round>`.
See its docstring for more information.
"""
if x.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in round")
return Array._new(np.round(x._array))
def sign(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.sign <numpy.sign>`.
See its docstring for more information.
"""
if x.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in sign")
return Array._new(np.sign(x._array))
def sin(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.sin <numpy.sin>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in sin")
return Array._new(np.sin(x._array))
def sinh(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.sinh <numpy.sinh>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in sinh")
return Array._new(np.sinh(x._array))
def square(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.square <numpy.square>`.
See its docstring for more information.
"""
if x.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in square")
return Array._new(np.square(x._array))
def sqrt(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.sqrt <numpy.sqrt>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in sqrt")
return Array._new(np.sqrt(x._array))
def subtract(x1: Array, x2: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.subtract <numpy.subtract>`.
See its docstring for more information.
"""
if x1.dtype not in _numeric_dtypes or x2.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in subtract")
# Call result type here just to raise on disallowed type combinations
_result_type(x1.dtype, x2.dtype)
x1, x2 = Array._normalize_two_args(x1, x2)
return Array._new(np.subtract(x1._array, x2._array))
def tan(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.tan <numpy.tan>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in tan")
return Array._new(np.tan(x._array))
def tanh(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.tanh <numpy.tanh>`.
See its docstring for more information.
"""
if x.dtype not in _floating_dtypes:
raise TypeError("Only floating-point dtypes are allowed in tanh")
return Array._new(np.tanh(x._array))
def trunc(x: Array, /) -> Array:
"""
Array API compatible wrapper for :py:func:`np.trunc <numpy.trunc>`.
See its docstring for more information.
"""
if x.dtype not in _numeric_dtypes:
raise TypeError("Only numeric dtypes are allowed in trunc")
if x.dtype in _integer_dtypes:
# Note: The return dtype of trunc is the same as the input
return x
return Array._new(np.trunc(x._array))
| 24,772 | Python | 32.935616 | 87 | 0.662926 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/_dtypes.py | import numpy as np
# Note: we use dtype objects instead of dtype classes. The spec does not
# require any behavior on dtypes other than equality.
int8 = np.dtype("int8")
int16 = np.dtype("int16")
int32 = np.dtype("int32")
int64 = np.dtype("int64")
uint8 = np.dtype("uint8")
uint16 = np.dtype("uint16")
uint32 = np.dtype("uint32")
uint64 = np.dtype("uint64")
float32 = np.dtype("float32")
float64 = np.dtype("float64")
# Note: This name is changed
bool = np.dtype("bool")
_all_dtypes = (
int8,
int16,
int32,
int64,
uint8,
uint16,
uint32,
uint64,
float32,
float64,
bool,
)
_boolean_dtypes = (bool,)
_floating_dtypes = (float32, float64)
_integer_dtypes = (int8, int16, int32, int64, uint8, uint16, uint32, uint64)
_integer_or_boolean_dtypes = (
bool,
int8,
int16,
int32,
int64,
uint8,
uint16,
uint32,
uint64,
)
_numeric_dtypes = (
float32,
float64,
int8,
int16,
int32,
int64,
uint8,
uint16,
uint32,
uint64,
)
_dtype_categories = {
"all": _all_dtypes,
"numeric": _numeric_dtypes,
"integer": _integer_dtypes,
"integer or boolean": _integer_or_boolean_dtypes,
"boolean": _boolean_dtypes,
"floating-point": _floating_dtypes,
}
# Note: the spec defines a restricted type promotion table compared to NumPy.
# In particular, cross-kind promotions like integer + float or boolean +
# integer are not allowed, even for functions that accept both kinds.
# Additionally, NumPy promotes signed integer + uint64 to float64, but this
# promotion is not allowed here. To be clear, Python scalar int objects are
# allowed to promote to floating-point dtypes, but only in array operators
# (see Array._promote_scalar) method in _array_object.py.
_promotion_table = {
(int8, int8): int8,
(int8, int16): int16,
(int8, int32): int32,
(int8, int64): int64,
(int16, int8): int16,
(int16, int16): int16,
(int16, int32): int32,
(int16, int64): int64,
(int32, int8): int32,
(int32, int16): int32,
(int32, int32): int32,
(int32, int64): int64,
(int64, int8): int64,
(int64, int16): int64,
(int64, int32): int64,
(int64, int64): int64,
(uint8, uint8): uint8,
(uint8, uint16): uint16,
(uint8, uint32): uint32,
(uint8, uint64): uint64,
(uint16, uint8): uint16,
(uint16, uint16): uint16,
(uint16, uint32): uint32,
(uint16, uint64): uint64,
(uint32, uint8): uint32,
(uint32, uint16): uint32,
(uint32, uint32): uint32,
(uint32, uint64): uint64,
(uint64, uint8): uint64,
(uint64, uint16): uint64,
(uint64, uint32): uint64,
(uint64, uint64): uint64,
(int8, uint8): int16,
(int8, uint16): int32,
(int8, uint32): int64,
(int16, uint8): int16,
(int16, uint16): int32,
(int16, uint32): int64,
(int32, uint8): int32,
(int32, uint16): int32,
(int32, uint32): int64,
(int64, uint8): int64,
(int64, uint16): int64,
(int64, uint32): int64,
(uint8, int8): int16,
(uint16, int8): int32,
(uint32, int8): int64,
(uint8, int16): int16,
(uint16, int16): int32,
(uint32, int16): int64,
(uint8, int32): int32,
(uint16, int32): int32,
(uint32, int32): int64,
(uint8, int64): int64,
(uint16, int64): int64,
(uint32, int64): int64,
(float32, float32): float32,
(float32, float64): float64,
(float64, float32): float64,
(float64, float64): float64,
(bool, bool): bool,
}
def _result_type(type1, type2):
if (type1, type2) in _promotion_table:
return _promotion_table[type1, type2]
raise TypeError(f"{type1} and {type2} cannot be type promoted together")
| 3,707 | Python | 24.75 | 77 | 0.623415 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/tests/test_elementwise_functions.py | from inspect import getfullargspec
from numpy.testing import assert_raises
from .. import asarray, _elementwise_functions
from .._elementwise_functions import bitwise_left_shift, bitwise_right_shift
from .._dtypes import (
_dtype_categories,
_boolean_dtypes,
_floating_dtypes,
_integer_dtypes,
)
def nargs(func):
return len(getfullargspec(func).args)
def test_function_types():
# Test that every function accepts only the required input types. We only
# test the negative cases here (error). The positive cases are tested in
# the array API test suite.
elementwise_function_input_types = {
"abs": "numeric",
"acos": "floating-point",
"acosh": "floating-point",
"add": "numeric",
"asin": "floating-point",
"asinh": "floating-point",
"atan": "floating-point",
"atan2": "floating-point",
"atanh": "floating-point",
"bitwise_and": "integer or boolean",
"bitwise_invert": "integer or boolean",
"bitwise_left_shift": "integer",
"bitwise_or": "integer or boolean",
"bitwise_right_shift": "integer",
"bitwise_xor": "integer or boolean",
"ceil": "numeric",
"cos": "floating-point",
"cosh": "floating-point",
"divide": "floating-point",
"equal": "all",
"exp": "floating-point",
"expm1": "floating-point",
"floor": "numeric",
"floor_divide": "numeric",
"greater": "numeric",
"greater_equal": "numeric",
"isfinite": "numeric",
"isinf": "numeric",
"isnan": "numeric",
"less": "numeric",
"less_equal": "numeric",
"log": "floating-point",
"logaddexp": "floating-point",
"log10": "floating-point",
"log1p": "floating-point",
"log2": "floating-point",
"logical_and": "boolean",
"logical_not": "boolean",
"logical_or": "boolean",
"logical_xor": "boolean",
"multiply": "numeric",
"negative": "numeric",
"not_equal": "all",
"positive": "numeric",
"pow": "numeric",
"remainder": "numeric",
"round": "numeric",
"sign": "numeric",
"sin": "floating-point",
"sinh": "floating-point",
"sqrt": "floating-point",
"square": "numeric",
"subtract": "numeric",
"tan": "floating-point",
"tanh": "floating-point",
"trunc": "numeric",
}
def _array_vals():
for d in _integer_dtypes:
yield asarray(1, dtype=d)
for d in _boolean_dtypes:
yield asarray(False, dtype=d)
for d in _floating_dtypes:
yield asarray(1.0, dtype=d)
for x in _array_vals():
for func_name, types in elementwise_function_input_types.items():
dtypes = _dtype_categories[types]
func = getattr(_elementwise_functions, func_name)
if nargs(func) == 2:
for y in _array_vals():
if x.dtype not in dtypes or y.dtype not in dtypes:
assert_raises(TypeError, lambda: func(x, y))
else:
if x.dtype not in dtypes:
assert_raises(TypeError, lambda: func(x))
def test_bitwise_shift_error():
# bitwise shift functions should raise when the second argument is negative
assert_raises(
ValueError, lambda: bitwise_left_shift(asarray([1, 1]), asarray([1, -1]))
)
assert_raises(
ValueError, lambda: bitwise_right_shift(asarray([1, 1]), asarray([1, -1]))
)
| 3,619 | Python | 31.321428 | 82 | 0.554849 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/tests/test_array_object.py | import operator
from numpy.testing import assert_raises
import numpy as np
import pytest
from .. import ones, asarray, reshape, result_type, all, equal
from .._array_object import Array
from .._dtypes import (
_all_dtypes,
_boolean_dtypes,
_floating_dtypes,
_integer_dtypes,
_integer_or_boolean_dtypes,
_numeric_dtypes,
int8,
int16,
int32,
int64,
uint64,
bool as bool_,
)
def test_validate_index():
# The indexing tests in the official array API test suite test that the
# array object correctly handles the subset of indices that are required
# by the spec. But the NumPy array API implementation specifically
# disallows any index not required by the spec, via Array._validate_index.
# This test focuses on testing that non-valid indices are correctly
# rejected. See
# https://data-apis.org/array-api/latest/API_specification/indexing.html
# and the docstring of Array._validate_index for the exact indexing
# behavior that should be allowed. This does not test indices that are
# already invalid in NumPy itself because Array will generally just pass
# such indices directly to the underlying np.ndarray.
a = ones((3, 4))
# Out of bounds slices are not allowed
assert_raises(IndexError, lambda: a[:4])
assert_raises(IndexError, lambda: a[:-4])
assert_raises(IndexError, lambda: a[:3:-1])
assert_raises(IndexError, lambda: a[:-5:-1])
assert_raises(IndexError, lambda: a[4:])
assert_raises(IndexError, lambda: a[-4:])
assert_raises(IndexError, lambda: a[4::-1])
assert_raises(IndexError, lambda: a[-4::-1])
assert_raises(IndexError, lambda: a[...,:5])
assert_raises(IndexError, lambda: a[...,:-5])
assert_raises(IndexError, lambda: a[...,:5:-1])
assert_raises(IndexError, lambda: a[...,:-6:-1])
assert_raises(IndexError, lambda: a[...,5:])
assert_raises(IndexError, lambda: a[...,-5:])
assert_raises(IndexError, lambda: a[...,5::-1])
assert_raises(IndexError, lambda: a[...,-5::-1])
# Boolean indices cannot be part of a larger tuple index
assert_raises(IndexError, lambda: a[a[:,0]==1,0])
assert_raises(IndexError, lambda: a[a[:,0]==1,...])
assert_raises(IndexError, lambda: a[..., a[0]==1])
assert_raises(IndexError, lambda: a[[True, True, True]])
assert_raises(IndexError, lambda: a[(True, True, True),])
# Integer array indices are not allowed (except for 0-D)
idx = asarray([[0, 1]])
assert_raises(IndexError, lambda: a[idx])
assert_raises(IndexError, lambda: a[idx,])
assert_raises(IndexError, lambda: a[[0, 1]])
assert_raises(IndexError, lambda: a[(0, 1), (0, 1)])
assert_raises(IndexError, lambda: a[[0, 1]])
assert_raises(IndexError, lambda: a[np.array([[0, 1]])])
# Multiaxis indices must contain exactly as many indices as dimensions
assert_raises(IndexError, lambda: a[()])
assert_raises(IndexError, lambda: a[0,])
assert_raises(IndexError, lambda: a[0])
assert_raises(IndexError, lambda: a[:])
def test_operators():
# For every operator, we test that it works for the required type
# combinations and raises TypeError otherwise
binary_op_dtypes = {
"__add__": "numeric",
"__and__": "integer_or_boolean",
"__eq__": "all",
"__floordiv__": "numeric",
"__ge__": "numeric",
"__gt__": "numeric",
"__le__": "numeric",
"__lshift__": "integer",
"__lt__": "numeric",
"__mod__": "numeric",
"__mul__": "numeric",
"__ne__": "all",
"__or__": "integer_or_boolean",
"__pow__": "numeric",
"__rshift__": "integer",
"__sub__": "numeric",
"__truediv__": "floating",
"__xor__": "integer_or_boolean",
}
# Recompute each time because of in-place ops
def _array_vals():
for d in _integer_dtypes:
yield asarray(1, dtype=d)
for d in _boolean_dtypes:
yield asarray(False, dtype=d)
for d in _floating_dtypes:
yield asarray(1.0, dtype=d)
for op, dtypes in binary_op_dtypes.items():
ops = [op]
if op not in ["__eq__", "__ne__", "__le__", "__ge__", "__lt__", "__gt__"]:
rop = "__r" + op[2:]
iop = "__i" + op[2:]
ops += [rop, iop]
for s in [1, 1.0, False]:
for _op in ops:
for a in _array_vals():
# Test array op scalar. From the spec, the following combinations
# are supported:
# - Python bool for a bool array dtype,
# - a Python int within the bounds of the given dtype for integer array dtypes,
# - a Python int or float for floating-point array dtypes
# We do not do bounds checking for int scalars, but rather use the default
# NumPy behavior for casting in that case.
if ((dtypes == "all"
or dtypes == "numeric" and a.dtype in _numeric_dtypes
or dtypes == "integer" and a.dtype in _integer_dtypes
or dtypes == "integer_or_boolean" and a.dtype in _integer_or_boolean_dtypes
or dtypes == "boolean" and a.dtype in _boolean_dtypes
or dtypes == "floating" and a.dtype in _floating_dtypes
)
# bool is a subtype of int, which is why we avoid
# isinstance here.
and (a.dtype in _boolean_dtypes and type(s) == bool
or a.dtype in _integer_dtypes and type(s) == int
or a.dtype in _floating_dtypes and type(s) in [float, int]
)):
# Only test for no error
getattr(a, _op)(s)
else:
assert_raises(TypeError, lambda: getattr(a, _op)(s))
# Test array op array.
for _op in ops:
for x in _array_vals():
for y in _array_vals():
# See the promotion table in NEP 47 or the array
# API spec page on type promotion. Mixed kind
# promotion is not defined.
if (x.dtype == uint64 and y.dtype in [int8, int16, int32, int64]
or y.dtype == uint64 and x.dtype in [int8, int16, int32, int64]
or x.dtype in _integer_dtypes and y.dtype not in _integer_dtypes
or y.dtype in _integer_dtypes and x.dtype not in _integer_dtypes
or x.dtype in _boolean_dtypes and y.dtype not in _boolean_dtypes
or y.dtype in _boolean_dtypes and x.dtype not in _boolean_dtypes
or x.dtype in _floating_dtypes and y.dtype not in _floating_dtypes
or y.dtype in _floating_dtypes and x.dtype not in _floating_dtypes
):
assert_raises(TypeError, lambda: getattr(x, _op)(y))
# Ensure in-place operators only promote to the same dtype as the left operand.
elif (
_op.startswith("__i")
and result_type(x.dtype, y.dtype) != x.dtype
):
assert_raises(TypeError, lambda: getattr(x, _op)(y))
# Ensure only those dtypes that are required for every operator are allowed.
elif (dtypes == "all" and (x.dtype in _boolean_dtypes and y.dtype in _boolean_dtypes
or x.dtype in _numeric_dtypes and y.dtype in _numeric_dtypes)
or (dtypes == "numeric" and x.dtype in _numeric_dtypes and y.dtype in _numeric_dtypes)
or dtypes == "integer" and x.dtype in _integer_dtypes and y.dtype in _numeric_dtypes
or dtypes == "integer_or_boolean" and (x.dtype in _integer_dtypes and y.dtype in _integer_dtypes
or x.dtype in _boolean_dtypes and y.dtype in _boolean_dtypes)
or dtypes == "boolean" and x.dtype in _boolean_dtypes and y.dtype in _boolean_dtypes
or dtypes == "floating" and x.dtype in _floating_dtypes and y.dtype in _floating_dtypes
):
getattr(x, _op)(y)
else:
assert_raises(TypeError, lambda: getattr(x, _op)(y))
unary_op_dtypes = {
"__abs__": "numeric",
"__invert__": "integer_or_boolean",
"__neg__": "numeric",
"__pos__": "numeric",
}
for op, dtypes in unary_op_dtypes.items():
for a in _array_vals():
if (
dtypes == "numeric"
and a.dtype in _numeric_dtypes
or dtypes == "integer_or_boolean"
and a.dtype in _integer_or_boolean_dtypes
):
# Only test for no error
getattr(a, op)()
else:
assert_raises(TypeError, lambda: getattr(a, op)())
# Finally, matmul() must be tested separately, because it works a bit
# different from the other operations.
def _matmul_array_vals():
for a in _array_vals():
yield a
for d in _all_dtypes:
yield ones((3, 4), dtype=d)
yield ones((4, 2), dtype=d)
yield ones((4, 4), dtype=d)
# Scalars always error
for _op in ["__matmul__", "__rmatmul__", "__imatmul__"]:
for s in [1, 1.0, False]:
for a in _matmul_array_vals():
if (type(s) in [float, int] and a.dtype in _floating_dtypes
or type(s) == int and a.dtype in _integer_dtypes):
# Type promotion is valid, but @ is not allowed on 0-D
# inputs, so the error is a ValueError
assert_raises(ValueError, lambda: getattr(a, _op)(s))
else:
assert_raises(TypeError, lambda: getattr(a, _op)(s))
for x in _matmul_array_vals():
for y in _matmul_array_vals():
if (x.dtype == uint64 and y.dtype in [int8, int16, int32, int64]
or y.dtype == uint64 and x.dtype in [int8, int16, int32, int64]
or x.dtype in _integer_dtypes and y.dtype not in _integer_dtypes
or y.dtype in _integer_dtypes and x.dtype not in _integer_dtypes
or x.dtype in _floating_dtypes and y.dtype not in _floating_dtypes
or y.dtype in _floating_dtypes and x.dtype not in _floating_dtypes
or x.dtype in _boolean_dtypes
or y.dtype in _boolean_dtypes
):
assert_raises(TypeError, lambda: x.__matmul__(y))
assert_raises(TypeError, lambda: y.__rmatmul__(x))
assert_raises(TypeError, lambda: x.__imatmul__(y))
elif x.shape == () or y.shape == () or x.shape[1] != y.shape[0]:
assert_raises(ValueError, lambda: x.__matmul__(y))
assert_raises(ValueError, lambda: y.__rmatmul__(x))
if result_type(x.dtype, y.dtype) != x.dtype:
assert_raises(TypeError, lambda: x.__imatmul__(y))
else:
assert_raises(ValueError, lambda: x.__imatmul__(y))
else:
x.__matmul__(y)
y.__rmatmul__(x)
if result_type(x.dtype, y.dtype) != x.dtype:
assert_raises(TypeError, lambda: x.__imatmul__(y))
elif y.shape[0] != y.shape[1]:
# This one fails because x @ y has a different shape from x
assert_raises(ValueError, lambda: x.__imatmul__(y))
else:
x.__imatmul__(y)
def test_python_scalar_construtors():
b = asarray(False)
i = asarray(0)
f = asarray(0.0)
assert bool(b) == False
assert int(i) == 0
assert float(f) == 0.0
assert operator.index(i) == 0
# bool/int/float should only be allowed on 0-D arrays.
assert_raises(TypeError, lambda: bool(asarray([False])))
assert_raises(TypeError, lambda: int(asarray([0])))
assert_raises(TypeError, lambda: float(asarray([0.0])))
assert_raises(TypeError, lambda: operator.index(asarray([0])))
# bool/int/float should only be allowed on arrays of the corresponding
# dtype
assert_raises(ValueError, lambda: bool(i))
assert_raises(ValueError, lambda: bool(f))
assert_raises(ValueError, lambda: int(b))
assert_raises(ValueError, lambda: int(f))
assert_raises(ValueError, lambda: float(b))
assert_raises(ValueError, lambda: float(i))
assert_raises(TypeError, lambda: operator.index(b))
assert_raises(TypeError, lambda: operator.index(f))
def test_device_property():
a = ones((3, 4))
assert a.device == 'cpu'
assert all(equal(a.to_device('cpu'), a))
assert_raises(ValueError, lambda: a.to_device('gpu'))
assert all(equal(asarray(a, device='cpu'), a))
assert_raises(ValueError, lambda: asarray(a, device='gpu'))
def test_array_properties():
a = ones((1, 2, 3))
b = ones((2, 3))
assert_raises(ValueError, lambda: a.T)
assert isinstance(b.T, Array)
assert b.T.shape == (3, 2)
assert isinstance(a.mT, Array)
assert a.mT.shape == (1, 3, 2)
assert isinstance(b.mT, Array)
assert b.mT.shape == (3, 2)
def test___array__():
a = ones((2, 3), dtype=int16)
assert np.asarray(a) is a._array
b = np.asarray(a, dtype=np.float64)
assert np.all(np.equal(b, np.ones((2, 3), dtype=np.float64)))
assert b.dtype == np.float64
def test_allow_newaxis():
a = ones(5)
indexed_a = a[None, :]
assert indexed_a.shape == (1, 5)
def test_disallow_flat_indexing_with_newaxis():
a = ones((3, 3, 3))
with pytest.raises(IndexError):
a[None, 0, 0]
def test_disallow_mask_with_newaxis():
a = ones((3, 3, 3))
with pytest.raises(IndexError):
a[None, asarray(True)]
@pytest.mark.parametrize("shape", [(), (5,), (3, 3, 3)])
@pytest.mark.parametrize("index", ["string", False, True])
def test_error_on_invalid_index(shape, index):
a = ones(shape)
with pytest.raises(IndexError):
a[index]
def test_mask_0d_array_without_errors():
a = ones(())
a[asarray(True)]
@pytest.mark.parametrize(
"i", [slice(5), slice(5, 0), asarray(True), asarray([0, 1])]
)
def test_error_on_invalid_index_with_ellipsis(i):
a = ones((3, 3, 3))
with pytest.raises(IndexError):
a[..., i]
with pytest.raises(IndexError):
a[i, ...]
def test_array_keys_use_private_array():
"""
Indexing operations convert array keys before indexing the internal array
Fails when array_api array keys are not converted into NumPy-proper arrays
in __getitem__(). This is achieved by passing array_api arrays with 0-sized
dimensions, which NumPy-proper treats erroneously - not sure why!
TODO: Find and use appropiate __setitem__() case.
"""
a = ones((0, 0), dtype=bool_)
assert a[a].shape == (0,)
a = ones((0,), dtype=bool_)
key = ones((0, 0), dtype=bool_)
with pytest.raises(IndexError):
a[key]
| 15,770 | Python | 40.944149 | 132 | 0.54293 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/tests/test_sorting_functions.py | import pytest
from numpy import array_api as xp
@pytest.mark.parametrize(
"obj, axis, expected",
[
([0, 0], -1, [0, 1]),
([0, 1, 0], -1, [1, 0, 2]),
([[0, 1], [1, 1]], 0, [[1, 0], [0, 1]]),
([[0, 1], [1, 1]], 1, [[1, 0], [0, 1]]),
],
)
def test_stable_desc_argsort(obj, axis, expected):
"""
Indices respect relative order of a descending stable-sort
See https://github.com/numpy/numpy/issues/20778
"""
x = xp.asarray(obj)
out = xp.argsort(x, axis=axis, stable=True, descending=True)
assert xp.all(out == xp.asarray(expected))
| 602 | Python | 24.124999 | 64 | 0.533223 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/tests/__init__.py | """
Tests for the array API namespace.
Note, full compliance with the array API can be tested with the official array API test
suite https://github.com/data-apis/array-api-tests. This test suite primarily
focuses on those things that are not tested by the official test suite.
"""
| 282 | Python | 34.374996 | 87 | 0.776596 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/tests/test_validation.py | from typing import Callable
import pytest
from numpy import array_api as xp
def p(func: Callable, *args, **kwargs):
f_sig = ", ".join(
[str(a) for a in args] + [f"{k}={v}" for k, v in kwargs.items()]
)
id_ = f"{func.__name__}({f_sig})"
return pytest.param(func, args, kwargs, id=id_)
@pytest.mark.parametrize(
"func, args, kwargs",
[
p(xp.can_cast, 42, xp.int8),
p(xp.can_cast, xp.int8, 42),
p(xp.result_type, 42),
],
)
def test_raises_on_invalid_types(func, args, kwargs):
"""Function raises TypeError when passed invalidly-typed inputs"""
with pytest.raises(TypeError):
func(*args, **kwargs)
| 676 | Python | 23.178571 | 72 | 0.593195 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/tests/test_data_type_functions.py | import pytest
from numpy import array_api as xp
@pytest.mark.parametrize(
"from_, to, expected",
[
(xp.int8, xp.int16, True),
(xp.int16, xp.int8, False),
(xp.bool, xp.int8, False),
(xp.asarray(0, dtype=xp.uint8), xp.int8, False),
],
)
def test_can_cast(from_, to, expected):
"""
can_cast() returns correct result
"""
assert xp.can_cast(from_, to) == expected
| 422 | Python | 20.149999 | 56 | 0.575829 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/tests/test_creation_functions.py | from numpy.testing import assert_raises
import numpy as np
from .. import all
from .._creation_functions import (
asarray,
arange,
empty,
empty_like,
eye,
full,
full_like,
linspace,
meshgrid,
ones,
ones_like,
zeros,
zeros_like,
)
from .._dtypes import float32, float64
from .._array_object import Array
def test_asarray_errors():
# Test various protections against incorrect usage
assert_raises(TypeError, lambda: Array([1]))
assert_raises(TypeError, lambda: asarray(["a"]))
assert_raises(ValueError, lambda: asarray([1.0], dtype=np.float16))
assert_raises(OverflowError, lambda: asarray(2**100))
# Preferably this would be OverflowError
# assert_raises(OverflowError, lambda: asarray([2**100]))
assert_raises(TypeError, lambda: asarray([2**100]))
asarray([1], device="cpu") # Doesn't error
assert_raises(ValueError, lambda: asarray([1], device="gpu"))
assert_raises(ValueError, lambda: asarray([1], dtype=int))
assert_raises(ValueError, lambda: asarray([1], dtype="i"))
def test_asarray_copy():
a = asarray([1])
b = asarray(a, copy=True)
a[0] = 0
assert all(b[0] == 1)
assert all(a[0] == 0)
a = asarray([1])
b = asarray(a, copy=np._CopyMode.ALWAYS)
a[0] = 0
assert all(b[0] == 1)
assert all(a[0] == 0)
a = asarray([1])
b = asarray(a, copy=np._CopyMode.NEVER)
a[0] = 0
assert all(b[0] == 0)
assert_raises(NotImplementedError, lambda: asarray(a, copy=False))
assert_raises(NotImplementedError,
lambda: asarray(a, copy=np._CopyMode.IF_NEEDED))
def test_arange_errors():
arange(1, device="cpu") # Doesn't error
assert_raises(ValueError, lambda: arange(1, device="gpu"))
assert_raises(ValueError, lambda: arange(1, dtype=int))
assert_raises(ValueError, lambda: arange(1, dtype="i"))
def test_empty_errors():
empty((1,), device="cpu") # Doesn't error
assert_raises(ValueError, lambda: empty((1,), device="gpu"))
assert_raises(ValueError, lambda: empty((1,), dtype=int))
assert_raises(ValueError, lambda: empty((1,), dtype="i"))
def test_empty_like_errors():
empty_like(asarray(1), device="cpu") # Doesn't error
assert_raises(ValueError, lambda: empty_like(asarray(1), device="gpu"))
assert_raises(ValueError, lambda: empty_like(asarray(1), dtype=int))
assert_raises(ValueError, lambda: empty_like(asarray(1), dtype="i"))
def test_eye_errors():
eye(1, device="cpu") # Doesn't error
assert_raises(ValueError, lambda: eye(1, device="gpu"))
assert_raises(ValueError, lambda: eye(1, dtype=int))
assert_raises(ValueError, lambda: eye(1, dtype="i"))
def test_full_errors():
full((1,), 0, device="cpu") # Doesn't error
assert_raises(ValueError, lambda: full((1,), 0, device="gpu"))
assert_raises(ValueError, lambda: full((1,), 0, dtype=int))
assert_raises(ValueError, lambda: full((1,), 0, dtype="i"))
def test_full_like_errors():
full_like(asarray(1), 0, device="cpu") # Doesn't error
assert_raises(ValueError, lambda: full_like(asarray(1), 0, device="gpu"))
assert_raises(ValueError, lambda: full_like(asarray(1), 0, dtype=int))
assert_raises(ValueError, lambda: full_like(asarray(1), 0, dtype="i"))
def test_linspace_errors():
linspace(0, 1, 10, device="cpu") # Doesn't error
assert_raises(ValueError, lambda: linspace(0, 1, 10, device="gpu"))
assert_raises(ValueError, lambda: linspace(0, 1, 10, dtype=float))
assert_raises(ValueError, lambda: linspace(0, 1, 10, dtype="f"))
def test_ones_errors():
ones((1,), device="cpu") # Doesn't error
assert_raises(ValueError, lambda: ones((1,), device="gpu"))
assert_raises(ValueError, lambda: ones((1,), dtype=int))
assert_raises(ValueError, lambda: ones((1,), dtype="i"))
def test_ones_like_errors():
ones_like(asarray(1), device="cpu") # Doesn't error
assert_raises(ValueError, lambda: ones_like(asarray(1), device="gpu"))
assert_raises(ValueError, lambda: ones_like(asarray(1), dtype=int))
assert_raises(ValueError, lambda: ones_like(asarray(1), dtype="i"))
def test_zeros_errors():
zeros((1,), device="cpu") # Doesn't error
assert_raises(ValueError, lambda: zeros((1,), device="gpu"))
assert_raises(ValueError, lambda: zeros((1,), dtype=int))
assert_raises(ValueError, lambda: zeros((1,), dtype="i"))
def test_zeros_like_errors():
zeros_like(asarray(1), device="cpu") # Doesn't error
assert_raises(ValueError, lambda: zeros_like(asarray(1), device="gpu"))
assert_raises(ValueError, lambda: zeros_like(asarray(1), dtype=int))
assert_raises(ValueError, lambda: zeros_like(asarray(1), dtype="i"))
def test_meshgrid_dtype_errors():
# Doesn't raise
meshgrid()
meshgrid(asarray([1.], dtype=float32))
meshgrid(asarray([1.], dtype=float32), asarray([1.], dtype=float32))
assert_raises(ValueError, lambda: meshgrid(asarray([1.], dtype=float32), asarray([1.], dtype=float64)))
| 5,023 | Python | 34.132867 | 107 | 0.655982 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/array_api/tests/test_set_functions.py | import pytest
from hypothesis import given
from hypothesis.extra.array_api import make_strategies_namespace
from numpy import array_api as xp
xps = make_strategies_namespace(xp)
@pytest.mark.parametrize("func", [xp.unique_all, xp.unique_inverse])
@given(xps.arrays(dtype=xps.scalar_dtypes(), shape=xps.array_shapes()))
def test_inverse_indices_shape(func, x):
"""
Inverse indices share shape of input array
See https://github.com/numpy/numpy/issues/20638
"""
out = func(x)
assert out.inverse_indices.shape == x.shape
| 546 | Python | 26.349999 | 71 | 0.730769 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/idna/intranges.py | """
Given a list of integers, made up of (hopefully) a small number of long runs
of consecutive integers, compute a representation of the form
((start1, end1), (start2, end2) ...). Then answer the question "was x present
in the original list?" in time O(log(# runs)).
"""
import bisect
from typing import List, Tuple
def intranges_from_list(list_: List[int]) -> Tuple[int, ...]:
"""Represent a list of integers as a sequence of ranges:
((start_0, end_0), (start_1, end_1), ...), such that the original
integers are exactly those x such that start_i <= x < end_i for some i.
Ranges are encoded as single integers (start << 32 | end), not as tuples.
"""
sorted_list = sorted(list_)
ranges = []
last_write = -1
for i in range(len(sorted_list)):
if i+1 < len(sorted_list):
if sorted_list[i] == sorted_list[i+1]-1:
continue
current_range = sorted_list[last_write+1:i+1]
ranges.append(_encode_range(current_range[0], current_range[-1] + 1))
last_write = i
return tuple(ranges)
def _encode_range(start: int, end: int) -> int:
return (start << 32) | end
def _decode_range(r: int) -> Tuple[int, int]:
return (r >> 32), (r & ((1 << 32) - 1))
def intranges_contain(int_: int, ranges: Tuple[int, ...]) -> bool:
"""Determine if `int_` falls into one of the ranges in `ranges`."""
tuple_ = _encode_range(int_, 0)
pos = bisect.bisect_left(ranges, tuple_)
# we could be immediately ahead of a tuple (start, end)
# with start < int_ <= end
if pos > 0:
left, right = _decode_range(ranges[pos-1])
if left <= int_ < right:
return True
# or we could be immediately behind a tuple (int_, end)
if pos < len(ranges):
left, _ = _decode_range(ranges[pos])
if left == int_:
return True
return False
| 1,881 | Python | 33.218181 | 77 | 0.600744 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/idna/__init__.py | from .package_data import __version__
from .core import (
IDNABidiError,
IDNAError,
InvalidCodepoint,
InvalidCodepointContext,
alabel,
check_bidi,
check_hyphen_ok,
check_initial_combiner,
check_label,
check_nfc,
decode,
encode,
ulabel,
uts46_remap,
valid_contextj,
valid_contexto,
valid_label_length,
valid_string_length,
)
from .intranges import intranges_contain
__all__ = [
"IDNABidiError",
"IDNAError",
"InvalidCodepoint",
"InvalidCodepointContext",
"alabel",
"check_bidi",
"check_hyphen_ok",
"check_initial_combiner",
"check_label",
"check_nfc",
"decode",
"encode",
"intranges_contain",
"ulabel",
"uts46_remap",
"valid_contextj",
"valid_contexto",
"valid_label_length",
"valid_string_length",
]
| 849 | Python | 17.888888 | 40 | 0.617197 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/idna/core.py | from . import idnadata
import bisect
import unicodedata
import re
from typing import Union, Optional
from .intranges import intranges_contain
_virama_combining_class = 9
_alabel_prefix = b'xn--'
_unicode_dots_re = re.compile('[\u002e\u3002\uff0e\uff61]')
class IDNAError(UnicodeError):
""" Base exception for all IDNA-encoding related problems """
pass
class IDNABidiError(IDNAError):
""" Exception when bidirectional requirements are not satisfied """
pass
class InvalidCodepoint(IDNAError):
""" Exception when a disallowed or unallocated codepoint is used """
pass
class InvalidCodepointContext(IDNAError):
""" Exception when the codepoint is not valid in the context it is used """
pass
def _combining_class(cp: int) -> int:
v = unicodedata.combining(chr(cp))
if v == 0:
if not unicodedata.name(chr(cp)):
raise ValueError('Unknown character in unicodedata')
return v
def _is_script(cp: str, script: str) -> bool:
return intranges_contain(ord(cp), idnadata.scripts[script])
def _punycode(s: str) -> bytes:
return s.encode('punycode')
def _unot(s: int) -> str:
return 'U+{:04X}'.format(s)
def valid_label_length(label: Union[bytes, str]) -> bool:
if len(label) > 63:
return False
return True
def valid_string_length(label: Union[bytes, str], trailing_dot: bool) -> bool:
if len(label) > (254 if trailing_dot else 253):
return False
return True
def check_bidi(label: str, check_ltr: bool = False) -> bool:
# Bidi rules should only be applied if string contains RTL characters
bidi_label = False
for (idx, cp) in enumerate(label, 1):
direction = unicodedata.bidirectional(cp)
if direction == '':
# String likely comes from a newer version of Unicode
raise IDNABidiError('Unknown directionality in label {} at position {}'.format(repr(label), idx))
if direction in ['R', 'AL', 'AN']:
bidi_label = True
if not bidi_label and not check_ltr:
return True
# Bidi rule 1
direction = unicodedata.bidirectional(label[0])
if direction in ['R', 'AL']:
rtl = True
elif direction == 'L':
rtl = False
else:
raise IDNABidiError('First codepoint in label {} must be directionality L, R or AL'.format(repr(label)))
valid_ending = False
number_type = None # type: Optional[str]
for (idx, cp) in enumerate(label, 1):
direction = unicodedata.bidirectional(cp)
if rtl:
# Bidi rule 2
if not direction in ['R', 'AL', 'AN', 'EN', 'ES', 'CS', 'ET', 'ON', 'BN', 'NSM']:
raise IDNABidiError('Invalid direction for codepoint at position {} in a right-to-left label'.format(idx))
# Bidi rule 3
if direction in ['R', 'AL', 'EN', 'AN']:
valid_ending = True
elif direction != 'NSM':
valid_ending = False
# Bidi rule 4
if direction in ['AN', 'EN']:
if not number_type:
number_type = direction
else:
if number_type != direction:
raise IDNABidiError('Can not mix numeral types in a right-to-left label')
else:
# Bidi rule 5
if not direction in ['L', 'EN', 'ES', 'CS', 'ET', 'ON', 'BN', 'NSM']:
raise IDNABidiError('Invalid direction for codepoint at position {} in a left-to-right label'.format(idx))
# Bidi rule 6
if direction in ['L', 'EN']:
valid_ending = True
elif direction != 'NSM':
valid_ending = False
if not valid_ending:
raise IDNABidiError('Label ends with illegal codepoint directionality')
return True
def check_initial_combiner(label: str) -> bool:
if unicodedata.category(label[0])[0] == 'M':
raise IDNAError('Label begins with an illegal combining character')
return True
def check_hyphen_ok(label: str) -> bool:
if label[2:4] == '--':
raise IDNAError('Label has disallowed hyphens in 3rd and 4th position')
if label[0] == '-' or label[-1] == '-':
raise IDNAError('Label must not start or end with a hyphen')
return True
def check_nfc(label: str) -> None:
if unicodedata.normalize('NFC', label) != label:
raise IDNAError('Label must be in Normalization Form C')
def valid_contextj(label: str, pos: int) -> bool:
cp_value = ord(label[pos])
if cp_value == 0x200c:
if pos > 0:
if _combining_class(ord(label[pos - 1])) == _virama_combining_class:
return True
ok = False
for i in range(pos-1, -1, -1):
joining_type = idnadata.joining_types.get(ord(label[i]))
if joining_type == ord('T'):
continue
if joining_type in [ord('L'), ord('D')]:
ok = True
break
if not ok:
return False
ok = False
for i in range(pos+1, len(label)):
joining_type = idnadata.joining_types.get(ord(label[i]))
if joining_type == ord('T'):
continue
if joining_type in [ord('R'), ord('D')]:
ok = True
break
return ok
if cp_value == 0x200d:
if pos > 0:
if _combining_class(ord(label[pos - 1])) == _virama_combining_class:
return True
return False
else:
return False
def valid_contexto(label: str, pos: int, exception: bool = False) -> bool:
cp_value = ord(label[pos])
if cp_value == 0x00b7:
if 0 < pos < len(label)-1:
if ord(label[pos - 1]) == 0x006c and ord(label[pos + 1]) == 0x006c:
return True
return False
elif cp_value == 0x0375:
if pos < len(label)-1 and len(label) > 1:
return _is_script(label[pos + 1], 'Greek')
return False
elif cp_value == 0x05f3 or cp_value == 0x05f4:
if pos > 0:
return _is_script(label[pos - 1], 'Hebrew')
return False
elif cp_value == 0x30fb:
for cp in label:
if cp == '\u30fb':
continue
if _is_script(cp, 'Hiragana') or _is_script(cp, 'Katakana') or _is_script(cp, 'Han'):
return True
return False
elif 0x660 <= cp_value <= 0x669:
for cp in label:
if 0x6f0 <= ord(cp) <= 0x06f9:
return False
return True
elif 0x6f0 <= cp_value <= 0x6f9:
for cp in label:
if 0x660 <= ord(cp) <= 0x0669:
return False
return True
return False
def check_label(label: Union[str, bytes, bytearray]) -> None:
if isinstance(label, (bytes, bytearray)):
label = label.decode('utf-8')
if len(label) == 0:
raise IDNAError('Empty Label')
check_nfc(label)
check_hyphen_ok(label)
check_initial_combiner(label)
for (pos, cp) in enumerate(label):
cp_value = ord(cp)
if intranges_contain(cp_value, idnadata.codepoint_classes['PVALID']):
continue
elif intranges_contain(cp_value, idnadata.codepoint_classes['CONTEXTJ']):
try:
if not valid_contextj(label, pos):
raise InvalidCodepointContext('Joiner {} not allowed at position {} in {}'.format(
_unot(cp_value), pos+1, repr(label)))
except ValueError:
raise IDNAError('Unknown codepoint adjacent to joiner {} at position {} in {}'.format(
_unot(cp_value), pos+1, repr(label)))
elif intranges_contain(cp_value, idnadata.codepoint_classes['CONTEXTO']):
if not valid_contexto(label, pos):
raise InvalidCodepointContext('Codepoint {} not allowed at position {} in {}'.format(_unot(cp_value), pos+1, repr(label)))
else:
raise InvalidCodepoint('Codepoint {} at position {} of {} not allowed'.format(_unot(cp_value), pos+1, repr(label)))
check_bidi(label)
def alabel(label: str) -> bytes:
try:
label_bytes = label.encode('ascii')
ulabel(label_bytes)
if not valid_label_length(label_bytes):
raise IDNAError('Label too long')
return label_bytes
except UnicodeEncodeError:
pass
if not label:
raise IDNAError('No Input')
label = str(label)
check_label(label)
label_bytes = _punycode(label)
label_bytes = _alabel_prefix + label_bytes
if not valid_label_length(label_bytes):
raise IDNAError('Label too long')
return label_bytes
def ulabel(label: Union[str, bytes, bytearray]) -> str:
if not isinstance(label, (bytes, bytearray)):
try:
label_bytes = label.encode('ascii')
except UnicodeEncodeError:
check_label(label)
return label
else:
label_bytes = label
label_bytes = label_bytes.lower()
if label_bytes.startswith(_alabel_prefix):
label_bytes = label_bytes[len(_alabel_prefix):]
if not label_bytes:
raise IDNAError('Malformed A-label, no Punycode eligible content found')
if label_bytes.decode('ascii')[-1] == '-':
raise IDNAError('A-label must not end with a hyphen')
else:
check_label(label_bytes)
return label_bytes.decode('ascii')
try:
label = label_bytes.decode('punycode')
except UnicodeError:
raise IDNAError('Invalid A-label')
check_label(label)
return label
def uts46_remap(domain: str, std3_rules: bool = True, transitional: bool = False) -> str:
"""Re-map the characters in the string according to UTS46 processing."""
from .uts46data import uts46data
output = ''
for pos, char in enumerate(domain):
code_point = ord(char)
try:
uts46row = uts46data[code_point if code_point < 256 else
bisect.bisect_left(uts46data, (code_point, 'Z')) - 1]
status = uts46row[1]
replacement = None # type: Optional[str]
if len(uts46row) == 3:
replacement = uts46row[2] # type: ignore
if (status == 'V' or
(status == 'D' and not transitional) or
(status == '3' and not std3_rules and replacement is None)):
output += char
elif replacement is not None and (status == 'M' or
(status == '3' and not std3_rules) or
(status == 'D' and transitional)):
output += replacement
elif status != 'I':
raise IndexError()
except IndexError:
raise InvalidCodepoint(
'Codepoint {} not allowed at position {} in {}'.format(
_unot(code_point), pos + 1, repr(domain)))
return unicodedata.normalize('NFC', output)
def encode(s: Union[str, bytes, bytearray], strict: bool = False, uts46: bool = False, std3_rules: bool = False, transitional: bool = False) -> bytes:
if isinstance(s, (bytes, bytearray)):
try:
s = s.decode('ascii')
except UnicodeDecodeError:
raise IDNAError('should pass a unicode string to the function rather than a byte string.')
if uts46:
s = uts46_remap(s, std3_rules, transitional)
trailing_dot = False
result = []
if strict:
labels = s.split('.')
else:
labels = _unicode_dots_re.split(s)
if not labels or labels == ['']:
raise IDNAError('Empty domain')
if labels[-1] == '':
del labels[-1]
trailing_dot = True
for label in labels:
s = alabel(label)
if s:
result.append(s)
else:
raise IDNAError('Empty label')
if trailing_dot:
result.append(b'')
s = b'.'.join(result)
if not valid_string_length(s, trailing_dot):
raise IDNAError('Domain too long')
return s
def decode(s: Union[str, bytes, bytearray], strict: bool = False, uts46: bool = False, std3_rules: bool = False) -> str:
try:
if isinstance(s, (bytes, bytearray)):
s = s.decode('ascii')
except UnicodeDecodeError:
raise IDNAError('Invalid ASCII in A-label')
if uts46:
s = uts46_remap(s, std3_rules, False)
trailing_dot = False
result = []
if not strict:
labels = _unicode_dots_re.split(s)
else:
labels = s.split('.')
if not labels or labels == ['']:
raise IDNAError('Empty domain')
if not labels[-1]:
del labels[-1]
trailing_dot = True
for label in labels:
s = ulabel(label)
if s:
result.append(s)
else:
raise IDNAError('Empty label')
if trailing_dot:
result.append('')
return '.'.join(result)
| 12,950 | Python | 31.296758 | 150 | 0.569807 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/idna/codec.py | from .core import encode, decode, alabel, ulabel, IDNAError
import codecs
import re
from typing import Tuple, Optional
_unicode_dots_re = re.compile('[\u002e\u3002\uff0e\uff61]')
class Codec(codecs.Codec):
def encode(self, data: str, errors: str = 'strict') -> Tuple[bytes, int]:
if errors != 'strict':
raise IDNAError('Unsupported error handling \"{}\"'.format(errors))
if not data:
return b"", 0
return encode(data), len(data)
def decode(self, data: bytes, errors: str = 'strict') -> Tuple[str, int]:
if errors != 'strict':
raise IDNAError('Unsupported error handling \"{}\"'.format(errors))
if not data:
return '', 0
return decode(data), len(data)
class IncrementalEncoder(codecs.BufferedIncrementalEncoder):
def _buffer_encode(self, data: str, errors: str, final: bool) -> Tuple[str, int]: # type: ignore
if errors != 'strict':
raise IDNAError('Unsupported error handling \"{}\"'.format(errors))
if not data:
return "", 0
labels = _unicode_dots_re.split(data)
trailing_dot = ''
if labels:
if not labels[-1]:
trailing_dot = '.'
del labels[-1]
elif not final:
# Keep potentially unfinished label until the next call
del labels[-1]
if labels:
trailing_dot = '.'
result = []
size = 0
for label in labels:
result.append(alabel(label))
if size:
size += 1
size += len(label)
# Join with U+002E
result_str = '.'.join(result) + trailing_dot # type: ignore
size += len(trailing_dot)
return result_str, size
class IncrementalDecoder(codecs.BufferedIncrementalDecoder):
def _buffer_decode(self, data: str, errors: str, final: bool) -> Tuple[str, int]: # type: ignore
if errors != 'strict':
raise IDNAError('Unsupported error handling \"{}\"'.format(errors))
if not data:
return ('', 0)
labels = _unicode_dots_re.split(data)
trailing_dot = ''
if labels:
if not labels[-1]:
trailing_dot = '.'
del labels[-1]
elif not final:
# Keep potentially unfinished label until the next call
del labels[-1]
if labels:
trailing_dot = '.'
result = []
size = 0
for label in labels:
result.append(ulabel(label))
if size:
size += 1
size += len(label)
result_str = '.'.join(result) + trailing_dot
size += len(trailing_dot)
return (result_str, size)
class StreamWriter(Codec, codecs.StreamWriter):
pass
class StreamReader(Codec, codecs.StreamReader):
pass
def getregentry() -> codecs.CodecInfo:
# Compatibility as a search_function for codecs.register()
return codecs.CodecInfo(
name='idna',
encode=Codec().encode, # type: ignore
decode=Codec().decode, # type: ignore
incrementalencoder=IncrementalEncoder,
incrementaldecoder=IncrementalDecoder,
streamwriter=StreamWriter,
streamreader=StreamReader,
)
| 3,374 | Python | 28.867256 | 101 | 0.553053 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/idna/package_data.py | __version__ = '3.4'
| 21 | Python | 6.333331 | 19 | 0.428571 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/idna/idnadata.py | # This file is automatically generated by tools/idna-data
__version__ = '15.0.0'
scripts = {
'Greek': (
0x37000000374,
0x37500000378,
0x37a0000037e,
0x37f00000380,
0x38400000385,
0x38600000387,
0x3880000038b,
0x38c0000038d,
0x38e000003a2,
0x3a3000003e2,
0x3f000000400,
0x1d2600001d2b,
0x1d5d00001d62,
0x1d6600001d6b,
0x1dbf00001dc0,
0x1f0000001f16,
0x1f1800001f1e,
0x1f2000001f46,
0x1f4800001f4e,
0x1f5000001f58,
0x1f5900001f5a,
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omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/idna/uts46data.py | # This file is automatically generated by tools/idna-data
# vim: set fileencoding=utf-8 :
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| 197,261 | Python | 21.934775 | 68 | 0.354708 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/idna/compat.py | from .core import *
from .codec import *
from typing import Any, Union
def ToASCII(label: str) -> bytes:
return encode(label)
def ToUnicode(label: Union[bytes, bytearray]) -> str:
return decode(label)
def nameprep(s: Any) -> None:
raise NotImplementedError('IDNA 2008 does not utilise nameprep protocol')
| 321 | Python | 21.999998 | 77 | 0.716511 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/envelope.py | import io
import json
import mimetypes
from sentry_sdk._compat import text_type, PY2
from sentry_sdk._types import MYPY
from sentry_sdk.session import Session
from sentry_sdk.utils import json_dumps, capture_internal_exceptions
if MYPY:
from typing import Any
from typing import Optional
from typing import Union
from typing import Dict
from typing import List
from typing import Iterator
from sentry_sdk._types import Event, EventDataCategory
def parse_json(data):
# type: (Union[bytes, text_type]) -> Any
# on some python 3 versions this needs to be bytes
if not PY2 and isinstance(data, bytes):
data = data.decode("utf-8", "replace")
return json.loads(data)
class Envelope(object):
def __init__(
self,
headers=None, # type: Optional[Dict[str, Any]]
items=None, # type: Optional[List[Item]]
):
# type: (...) -> None
if headers is not None:
headers = dict(headers)
self.headers = headers or {}
if items is None:
items = []
else:
items = list(items)
self.items = items
@property
def description(self):
# type: (...) -> str
return "envelope with %s items (%s)" % (
len(self.items),
", ".join(x.data_category for x in self.items),
)
def add_event(
self, event # type: Event
):
# type: (...) -> None
self.add_item(Item(payload=PayloadRef(json=event), type="event"))
def add_transaction(
self, transaction # type: Event
):
# type: (...) -> None
self.add_item(Item(payload=PayloadRef(json=transaction), type="transaction"))
def add_profile(
self, profile # type: Any
):
# type: (...) -> None
self.add_item(Item(payload=PayloadRef(json=profile), type="profile"))
def add_session(
self, session # type: Union[Session, Any]
):
# type: (...) -> None
if isinstance(session, Session):
session = session.to_json()
self.add_item(Item(payload=PayloadRef(json=session), type="session"))
def add_sessions(
self, sessions # type: Any
):
# type: (...) -> None
self.add_item(Item(payload=PayloadRef(json=sessions), type="sessions"))
def add_item(
self, item # type: Item
):
# type: (...) -> None
self.items.append(item)
def get_event(self):
# type: (...) -> Optional[Event]
for items in self.items:
event = items.get_event()
if event is not None:
return event
return None
def get_transaction_event(self):
# type: (...) -> Optional[Event]
for item in self.items:
event = item.get_transaction_event()
if event is not None:
return event
return None
def __iter__(self):
# type: (...) -> Iterator[Item]
return iter(self.items)
def serialize_into(
self, f # type: Any
):
# type: (...) -> None
f.write(json_dumps(self.headers))
f.write(b"\n")
for item in self.items:
item.serialize_into(f)
def serialize(self):
# type: (...) -> bytes
out = io.BytesIO()
self.serialize_into(out)
return out.getvalue()
@classmethod
def deserialize_from(
cls, f # type: Any
):
# type: (...) -> Envelope
headers = parse_json(f.readline())
items = []
while 1:
item = Item.deserialize_from(f)
if item is None:
break
items.append(item)
return cls(headers=headers, items=items)
@classmethod
def deserialize(
cls, bytes # type: bytes
):
# type: (...) -> Envelope
return cls.deserialize_from(io.BytesIO(bytes))
def __repr__(self):
# type: (...) -> str
return "<Envelope headers=%r items=%r>" % (self.headers, self.items)
class PayloadRef(object):
def __init__(
self,
bytes=None, # type: Optional[bytes]
path=None, # type: Optional[Union[bytes, text_type]]
json=None, # type: Optional[Any]
):
# type: (...) -> None
self.json = json
self.bytes = bytes
self.path = path
def get_bytes(self):
# type: (...) -> bytes
if self.bytes is None:
if self.path is not None:
with capture_internal_exceptions():
with open(self.path, "rb") as f:
self.bytes = f.read()
elif self.json is not None:
self.bytes = json_dumps(self.json)
else:
self.bytes = b""
return self.bytes
@property
def inferred_content_type(self):
# type: (...) -> str
if self.json is not None:
return "application/json"
elif self.path is not None:
path = self.path
if isinstance(path, bytes):
path = path.decode("utf-8", "replace")
ty = mimetypes.guess_type(path)[0]
if ty:
return ty
return "application/octet-stream"
def __repr__(self):
# type: (...) -> str
return "<Payload %r>" % (self.inferred_content_type,)
class Item(object):
def __init__(
self,
payload, # type: Union[bytes, text_type, PayloadRef]
headers=None, # type: Optional[Dict[str, Any]]
type=None, # type: Optional[str]
content_type=None, # type: Optional[str]
filename=None, # type: Optional[str]
):
if headers is not None:
headers = dict(headers)
elif headers is None:
headers = {}
self.headers = headers
if isinstance(payload, bytes):
payload = PayloadRef(bytes=payload)
elif isinstance(payload, text_type):
payload = PayloadRef(bytes=payload.encode("utf-8"))
else:
payload = payload
if filename is not None:
headers["filename"] = filename
if type is not None:
headers["type"] = type
if content_type is not None:
headers["content_type"] = content_type
elif "content_type" not in headers:
headers["content_type"] = payload.inferred_content_type
self.payload = payload
def __repr__(self):
# type: (...) -> str
return "<Item headers=%r payload=%r data_category=%r>" % (
self.headers,
self.payload,
self.data_category,
)
@property
def type(self):
# type: (...) -> Optional[str]
return self.headers.get("type")
@property
def data_category(self):
# type: (...) -> EventDataCategory
ty = self.headers.get("type")
if ty == "session":
return "session"
elif ty == "attachment":
return "attachment"
elif ty == "transaction":
return "transaction"
elif ty == "event":
return "error"
elif ty == "client_report":
return "internal"
elif ty == "profile":
return "profile"
else:
return "default"
def get_bytes(self):
# type: (...) -> bytes
return self.payload.get_bytes()
def get_event(self):
# type: (...) -> Optional[Event]
"""
Returns an error event if there is one.
"""
if self.type == "event" and self.payload.json is not None:
return self.payload.json
return None
def get_transaction_event(self):
# type: (...) -> Optional[Event]
if self.type == "transaction" and self.payload.json is not None:
return self.payload.json
return None
def serialize_into(
self, f # type: Any
):
# type: (...) -> None
headers = dict(self.headers)
bytes = self.get_bytes()
headers["length"] = len(bytes)
f.write(json_dumps(headers))
f.write(b"\n")
f.write(bytes)
f.write(b"\n")
def serialize(self):
# type: (...) -> bytes
out = io.BytesIO()
self.serialize_into(out)
return out.getvalue()
@classmethod
def deserialize_from(
cls, f # type: Any
):
# type: (...) -> Optional[Item]
line = f.readline().rstrip()
if not line:
return None
headers = parse_json(line)
length = headers.get("length")
if length is not None:
payload = f.read(length)
f.readline()
else:
# if no length was specified we need to read up to the end of line
# and remove it (if it is present, i.e. not the very last char in an eof terminated envelope)
payload = f.readline().rstrip(b"\n")
if headers.get("type") in ("event", "transaction", "metric_buckets"):
rv = cls(headers=headers, payload=PayloadRef(json=parse_json(payload)))
else:
rv = cls(headers=headers, payload=payload)
return rv
@classmethod
def deserialize(
cls, bytes # type: bytes
):
# type: (...) -> Optional[Item]
return cls.deserialize_from(io.BytesIO(bytes))
| 9,400 | Python | 27.837423 | 105 | 0.528936 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/tracing.py | import uuid
import random
import threading
import time
from datetime import datetime, timedelta
import sentry_sdk
from sentry_sdk.consts import INSTRUMENTER
from sentry_sdk.utils import logger
from sentry_sdk._types import MYPY
if MYPY:
import typing
from typing import Optional
from typing import Any
from typing import Dict
from typing import List
from typing import Tuple
from typing import Iterator
import sentry_sdk.profiler
from sentry_sdk._types import Event, SamplingContext, MeasurementUnit
BAGGAGE_HEADER_NAME = "baggage"
SENTRY_TRACE_HEADER_NAME = "sentry-trace"
# Transaction source
# see https://develop.sentry.dev/sdk/event-payloads/transaction/#transaction-annotations
TRANSACTION_SOURCE_CUSTOM = "custom"
TRANSACTION_SOURCE_URL = "url"
TRANSACTION_SOURCE_ROUTE = "route"
TRANSACTION_SOURCE_VIEW = "view"
TRANSACTION_SOURCE_COMPONENT = "component"
TRANSACTION_SOURCE_TASK = "task"
# These are typically high cardinality and the server hates them
LOW_QUALITY_TRANSACTION_SOURCES = [
TRANSACTION_SOURCE_URL,
]
SOURCE_FOR_STYLE = {
"endpoint": TRANSACTION_SOURCE_COMPONENT,
"function_name": TRANSACTION_SOURCE_COMPONENT,
"handler_name": TRANSACTION_SOURCE_COMPONENT,
"method_and_path_pattern": TRANSACTION_SOURCE_ROUTE,
"path": TRANSACTION_SOURCE_URL,
"route_name": TRANSACTION_SOURCE_COMPONENT,
"route_pattern": TRANSACTION_SOURCE_ROUTE,
"uri_template": TRANSACTION_SOURCE_ROUTE,
"url": TRANSACTION_SOURCE_ROUTE,
}
class _SpanRecorder(object):
"""Limits the number of spans recorded in a transaction."""
__slots__ = ("maxlen", "spans")
def __init__(self, maxlen):
# type: (int) -> None
# FIXME: this is `maxlen - 1` only to preserve historical behavior
# enforced by tests.
# Either this should be changed to `maxlen` or the JS SDK implementation
# should be changed to match a consistent interpretation of what maxlen
# limits: either transaction+spans or only child spans.
self.maxlen = maxlen - 1
self.spans = [] # type: List[Span]
def add(self, span):
# type: (Span) -> None
if len(self.spans) > self.maxlen:
span._span_recorder = None
else:
self.spans.append(span)
class Span(object):
__slots__ = (
"trace_id",
"span_id",
"parent_span_id",
"same_process_as_parent",
"sampled",
"op",
"description",
"start_timestamp",
"_start_timestamp_monotonic",
"status",
"timestamp",
"_tags",
"_data",
"_span_recorder",
"hub",
"_context_manager_state",
"_containing_transaction",
)
def __new__(cls, **kwargs):
# type: (**Any) -> Any
"""
Backwards-compatible implementation of Span and Transaction
creation.
"""
# TODO: consider removing this in a future release.
# This is for backwards compatibility with releases before Transaction
# existed, to allow for a smoother transition.
if "transaction" in kwargs:
return object.__new__(Transaction)
return object.__new__(cls)
def __init__(
self,
trace_id=None, # type: Optional[str]
span_id=None, # type: Optional[str]
parent_span_id=None, # type: Optional[str]
same_process_as_parent=True, # type: bool
sampled=None, # type: Optional[bool]
op=None, # type: Optional[str]
description=None, # type: Optional[str]
hub=None, # type: Optional[sentry_sdk.Hub]
status=None, # type: Optional[str]
transaction=None, # type: Optional[str] # deprecated
containing_transaction=None, # type: Optional[Transaction]
start_timestamp=None, # type: Optional[datetime]
):
# type: (...) -> None
self.trace_id = trace_id or uuid.uuid4().hex
self.span_id = span_id or uuid.uuid4().hex[16:]
self.parent_span_id = parent_span_id
self.same_process_as_parent = same_process_as_parent
self.sampled = sampled
self.op = op
self.description = description
self.status = status
self.hub = hub
self._tags = {} # type: Dict[str, str]
self._data = {} # type: Dict[str, Any]
self._containing_transaction = containing_transaction
self.start_timestamp = start_timestamp or datetime.utcnow()
try:
# TODO: For Python 3.7+, we could use a clock with ns resolution:
# self._start_timestamp_monotonic = time.perf_counter_ns()
# Python 3.3+
self._start_timestamp_monotonic = time.perf_counter()
except AttributeError:
pass
#: End timestamp of span
self.timestamp = None # type: Optional[datetime]
self._span_recorder = None # type: Optional[_SpanRecorder]
# TODO this should really live on the Transaction class rather than the Span
# class
def init_span_recorder(self, maxlen):
# type: (int) -> None
if self._span_recorder is None:
self._span_recorder = _SpanRecorder(maxlen)
def __repr__(self):
# type: () -> str
return (
"<%s(op=%r, description:%r, trace_id=%r, span_id=%r, parent_span_id=%r, sampled=%r)>"
% (
self.__class__.__name__,
self.op,
self.description,
self.trace_id,
self.span_id,
self.parent_span_id,
self.sampled,
)
)
def __enter__(self):
# type: () -> Span
hub = self.hub or sentry_sdk.Hub.current
_, scope = hub._stack[-1]
old_span = scope.span
scope.span = self
self._context_manager_state = (hub, scope, old_span)
return self
def __exit__(self, ty, value, tb):
# type: (Optional[Any], Optional[Any], Optional[Any]) -> None
if value is not None:
self.set_status("internal_error")
hub, scope, old_span = self._context_manager_state
del self._context_manager_state
self.finish(hub)
scope.span = old_span
@property
def containing_transaction(self):
# type: () -> Optional[Transaction]
# this is a getter rather than a regular attribute so that transactions
# can return `self` here instead (as a way to prevent them circularly
# referencing themselves)
return self._containing_transaction
def start_child(self, instrumenter=INSTRUMENTER.SENTRY, **kwargs):
# type: (str, **Any) -> Span
"""
Start a sub-span from the current span or transaction.
Takes the same arguments as the initializer of :py:class:`Span`. The
trace id, sampling decision, transaction pointer, and span recorder are
inherited from the current span/transaction.
"""
hub = self.hub or sentry_sdk.Hub.current
client = hub.client
configuration_instrumenter = client and client.options["instrumenter"]
if instrumenter != configuration_instrumenter:
return NoOpSpan()
kwargs.setdefault("sampled", self.sampled)
child = Span(
trace_id=self.trace_id,
parent_span_id=self.span_id,
containing_transaction=self.containing_transaction,
**kwargs
)
span_recorder = (
self.containing_transaction and self.containing_transaction._span_recorder
)
if span_recorder:
span_recorder.add(child)
return child
def new_span(self, **kwargs):
# type: (**Any) -> Span
"""Deprecated: use start_child instead."""
logger.warning("Deprecated: use Span.start_child instead of Span.new_span.")
return self.start_child(**kwargs)
@classmethod
def continue_from_environ(
cls,
environ, # type: typing.Mapping[str, str]
**kwargs # type: Any
):
# type: (...) -> Transaction
"""
Create a Transaction with the given params, then add in data pulled from
the 'sentry-trace', 'baggage' and 'tracestate' headers from the environ (if any)
before returning the Transaction.
This is different from `continue_from_headers` in that it assumes header
names in the form "HTTP_HEADER_NAME" - such as you would get from a wsgi
environ - rather than the form "header-name".
"""
if cls is Span:
logger.warning(
"Deprecated: use Transaction.continue_from_environ "
"instead of Span.continue_from_environ."
)
return Transaction.continue_from_headers(EnvironHeaders(environ), **kwargs)
@classmethod
def continue_from_headers(
cls,
headers, # type: typing.Mapping[str, str]
**kwargs # type: Any
):
# type: (...) -> Transaction
"""
Create a transaction with the given params (including any data pulled from
the 'sentry-trace', 'baggage' and 'tracestate' headers).
"""
# TODO move this to the Transaction class
if cls is Span:
logger.warning(
"Deprecated: use Transaction.continue_from_headers "
"instead of Span.continue_from_headers."
)
# TODO-neel move away from this kwargs stuff, it's confusing and opaque
# make more explicit
baggage = Baggage.from_incoming_header(headers.get(BAGGAGE_HEADER_NAME))
kwargs.update({BAGGAGE_HEADER_NAME: baggage})
sentrytrace_kwargs = extract_sentrytrace_data(
headers.get(SENTRY_TRACE_HEADER_NAME)
)
if sentrytrace_kwargs is not None:
kwargs.update(sentrytrace_kwargs)
# If there's an incoming sentry-trace but no incoming baggage header,
# for instance in traces coming from older SDKs,
# baggage will be empty and immutable and won't be populated as head SDK.
baggage.freeze()
kwargs.update(extract_tracestate_data(headers.get("tracestate")))
transaction = Transaction(**kwargs)
transaction.same_process_as_parent = False
return transaction
def iter_headers(self):
# type: () -> Iterator[Tuple[str, str]]
"""
Creates a generator which returns the span's `sentry-trace`, `baggage` and
`tracestate` headers.
If the span's containing transaction doesn't yet have a
`sentry_tracestate` value, this will cause one to be generated and
stored.
"""
yield SENTRY_TRACE_HEADER_NAME, self.to_traceparent()
tracestate = self.to_tracestate() if has_tracestate_enabled(self) else None
# `tracestate` will only be `None` if there's no client or no DSN
# TODO (kmclb) the above will be true once the feature is no longer
# behind a flag
if tracestate:
yield "tracestate", tracestate
if self.containing_transaction:
baggage = self.containing_transaction.get_baggage().serialize()
if baggage:
yield BAGGAGE_HEADER_NAME, baggage
@classmethod
def from_traceparent(
cls,
traceparent, # type: Optional[str]
**kwargs # type: Any
):
# type: (...) -> Optional[Transaction]
"""
DEPRECATED: Use Transaction.continue_from_headers(headers, **kwargs)
Create a Transaction with the given params, then add in data pulled from
the given 'sentry-trace' header value before returning the Transaction.
"""
logger.warning(
"Deprecated: Use Transaction.continue_from_headers(headers, **kwargs) "
"instead of from_traceparent(traceparent, **kwargs)"
)
if not traceparent:
return None
return cls.continue_from_headers(
{SENTRY_TRACE_HEADER_NAME: traceparent}, **kwargs
)
def to_traceparent(self):
# type: () -> str
sampled = ""
if self.sampled is True:
sampled = "1"
if self.sampled is False:
sampled = "0"
return "%s-%s-%s" % (self.trace_id, self.span_id, sampled)
def to_tracestate(self):
# type: () -> Optional[str]
"""
Computes the `tracestate` header value using data from the containing
transaction.
If the containing transaction doesn't yet have a `sentry_tracestate`
value, this will cause one to be generated and stored.
If there is no containing transaction, a value will be generated but not
stored.
Returns None if there's no client and/or no DSN.
"""
sentry_tracestate = self.get_or_set_sentry_tracestate()
third_party_tracestate = (
self.containing_transaction._third_party_tracestate
if self.containing_transaction
else None
)
if not sentry_tracestate:
return None
header_value = sentry_tracestate
if third_party_tracestate:
header_value = header_value + "," + third_party_tracestate
return header_value
def get_or_set_sentry_tracestate(self):
# type: (Span) -> Optional[str]
"""
Read sentry tracestate off of the span's containing transaction.
If the transaction doesn't yet have a `_sentry_tracestate` value,
compute one and store it.
"""
transaction = self.containing_transaction
if transaction:
if not transaction._sentry_tracestate:
transaction._sentry_tracestate = compute_tracestate_entry(self)
return transaction._sentry_tracestate
# orphan span - nowhere to store the value, so just return it
return compute_tracestate_entry(self)
def set_tag(self, key, value):
# type: (str, Any) -> None
self._tags[key] = value
def set_data(self, key, value):
# type: (str, Any) -> None
self._data[key] = value
def set_status(self, value):
# type: (str) -> None
self.status = value
def set_http_status(self, http_status):
# type: (int) -> None
self.set_tag("http.status_code", str(http_status))
if http_status < 400:
self.set_status("ok")
elif 400 <= http_status < 500:
if http_status == 403:
self.set_status("permission_denied")
elif http_status == 404:
self.set_status("not_found")
elif http_status == 429:
self.set_status("resource_exhausted")
elif http_status == 413:
self.set_status("failed_precondition")
elif http_status == 401:
self.set_status("unauthenticated")
elif http_status == 409:
self.set_status("already_exists")
else:
self.set_status("invalid_argument")
elif 500 <= http_status < 600:
if http_status == 504:
self.set_status("deadline_exceeded")
elif http_status == 501:
self.set_status("unimplemented")
elif http_status == 503:
self.set_status("unavailable")
else:
self.set_status("internal_error")
else:
self.set_status("unknown_error")
def is_success(self):
# type: () -> bool
return self.status == "ok"
def finish(self, hub=None, end_timestamp=None):
# type: (Optional[sentry_sdk.Hub], Optional[datetime]) -> Optional[str]
# XXX: would be type: (Optional[sentry_sdk.Hub]) -> None, but that leads
# to incompatible return types for Span.finish and Transaction.finish.
if self.timestamp is not None:
# This span is already finished, ignore.
return None
hub = hub or self.hub or sentry_sdk.Hub.current
try:
if end_timestamp:
self.timestamp = end_timestamp
else:
duration_seconds = time.perf_counter() - self._start_timestamp_monotonic
self.timestamp = self.start_timestamp + timedelta(
seconds=duration_seconds
)
except AttributeError:
self.timestamp = datetime.utcnow()
maybe_create_breadcrumbs_from_span(hub, self)
return None
def to_json(self):
# type: () -> Dict[str, Any]
rv = {
"trace_id": self.trace_id,
"span_id": self.span_id,
"parent_span_id": self.parent_span_id,
"same_process_as_parent": self.same_process_as_parent,
"op": self.op,
"description": self.description,
"start_timestamp": self.start_timestamp,
"timestamp": self.timestamp,
} # type: Dict[str, Any]
if self.status:
self._tags["status"] = self.status
tags = self._tags
if tags:
rv["tags"] = tags
data = self._data
if data:
rv["data"] = data
return rv
def get_trace_context(self):
# type: () -> Any
rv = {
"trace_id": self.trace_id,
"span_id": self.span_id,
"parent_span_id": self.parent_span_id,
"op": self.op,
"description": self.description,
} # type: Dict[str, Any]
if self.status:
rv["status"] = self.status
# if the transaction didn't inherit a tracestate value, and no outgoing
# requests - whose need for headers would have caused a tracestate value
# to be created - were made as part of the transaction, the transaction
# still won't have a tracestate value, so compute one now
sentry_tracestate = self.get_or_set_sentry_tracestate()
if sentry_tracestate:
rv["tracestate"] = sentry_tracestate
if self.containing_transaction:
rv[
"dynamic_sampling_context"
] = self.containing_transaction.get_baggage().dynamic_sampling_context()
return rv
class Transaction(Span):
__slots__ = (
"name",
"source",
"parent_sampled",
# used to create baggage value for head SDKs in dynamic sampling
"sample_rate",
# the sentry portion of the `tracestate` header used to transmit
# correlation context for server-side dynamic sampling, of the form
# `sentry=xxxxx`, where `xxxxx` is the base64-encoded json of the
# correlation context data, missing trailing any =
"_sentry_tracestate",
# tracestate data from other vendors, of the form `dogs=yes,cats=maybe`
"_third_party_tracestate",
"_measurements",
"_contexts",
"_profile",
"_baggage",
"_active_thread_id",
)
def __init__(
self,
name="", # type: str
parent_sampled=None, # type: Optional[bool]
sentry_tracestate=None, # type: Optional[str]
third_party_tracestate=None, # type: Optional[str]
baggage=None, # type: Optional[Baggage]
source=TRANSACTION_SOURCE_CUSTOM, # type: str
**kwargs # type: Any
):
# type: (...) -> None
# TODO: consider removing this in a future release.
# This is for backwards compatibility with releases before Transaction
# existed, to allow for a smoother transition.
if not name and "transaction" in kwargs:
logger.warning(
"Deprecated: use Transaction(name=...) to create transactions "
"instead of Span(transaction=...)."
)
name = kwargs.pop("transaction")
Span.__init__(self, **kwargs)
self.name = name
self.source = source
self.sample_rate = None # type: Optional[float]
self.parent_sampled = parent_sampled
# if tracestate isn't inherited and set here, it will get set lazily,
# either the first time an outgoing request needs it for a header or the
# first time an event needs it for inclusion in the captured data
self._sentry_tracestate = sentry_tracestate
self._third_party_tracestate = third_party_tracestate
self._measurements = {} # type: Dict[str, Any]
self._contexts = {} # type: Dict[str, Any]
self._profile = None # type: Optional[sentry_sdk.profiler.Profile]
self._baggage = baggage
# for profiling, we want to know on which thread a transaction is started
# to accurately show the active thread in the UI
self._active_thread_id = (
threading.current_thread().ident
) # used by profiling.py
def __repr__(self):
# type: () -> str
return (
"<%s(name=%r, op=%r, trace_id=%r, span_id=%r, parent_span_id=%r, sampled=%r, source=%r)>"
% (
self.__class__.__name__,
self.name,
self.op,
self.trace_id,
self.span_id,
self.parent_span_id,
self.sampled,
self.source,
)
)
@property
def containing_transaction(self):
# type: () -> Transaction
# Transactions (as spans) belong to themselves (as transactions). This
# is a getter rather than a regular attribute to avoid having a circular
# reference.
return self
def finish(self, hub=None, end_timestamp=None):
# type: (Optional[sentry_sdk.Hub], Optional[datetime]) -> Optional[str]
if self.timestamp is not None:
# This transaction is already finished, ignore.
return None
hub = hub or self.hub or sentry_sdk.Hub.current
client = hub.client
if client is None:
# We have no client and therefore nowhere to send this transaction.
return None
# This is a de facto proxy for checking if sampled = False
if self._span_recorder is None:
logger.debug("Discarding transaction because sampled = False")
# This is not entirely accurate because discards here are not
# exclusively based on sample rate but also traces sampler, but
# we handle this the same here.
if client.transport and has_tracing_enabled(client.options):
client.transport.record_lost_event(
"sample_rate", data_category="transaction"
)
return None
if not self.name:
logger.warning(
"Transaction has no name, falling back to `<unlabeled transaction>`."
)
self.name = "<unlabeled transaction>"
Span.finish(self, hub, end_timestamp)
if not self.sampled:
# At this point a `sampled = None` should have already been resolved
# to a concrete decision.
if self.sampled is None:
logger.warning("Discarding transaction without sampling decision.")
return None
finished_spans = [
span.to_json()
for span in self._span_recorder.spans
if span.timestamp is not None
]
# we do this to break the circular reference of transaction -> span
# recorder -> span -> containing transaction (which is where we started)
# before either the spans or the transaction goes out of scope and has
# to be garbage collected
self._span_recorder = None
contexts = {}
contexts.update(self._contexts)
contexts.update({"trace": self.get_trace_context()})
event = {
"type": "transaction",
"transaction": self.name,
"transaction_info": {"source": self.source},
"contexts": contexts,
"tags": self._tags,
"timestamp": self.timestamp,
"start_timestamp": self.start_timestamp,
"spans": finished_spans,
} # type: Event
if hub.client is not None and self._profile is not None:
event["profile"] = self._profile
contexts.update({"profile": self._profile.get_profile_context()})
if has_custom_measurements_enabled():
event["measurements"] = self._measurements
return hub.capture_event(event)
def set_measurement(self, name, value, unit=""):
# type: (str, float, MeasurementUnit) -> None
if not has_custom_measurements_enabled():
logger.debug(
"[Tracing] Experimental custom_measurements feature is disabled"
)
return
self._measurements[name] = {"value": value, "unit": unit}
def set_context(self, key, value):
# type: (str, Any) -> None
self._contexts[key] = value
def to_json(self):
# type: () -> Dict[str, Any]
rv = super(Transaction, self).to_json()
rv["name"] = self.name
rv["source"] = self.source
rv["sampled"] = self.sampled
return rv
def get_baggage(self):
# type: () -> Baggage
"""
The first time a new baggage with sentry items is made,
it will be frozen.
"""
if not self._baggage or self._baggage.mutable:
self._baggage = Baggage.populate_from_transaction(self)
return self._baggage
def _set_initial_sampling_decision(self, sampling_context):
# type: (SamplingContext) -> None
"""
Sets the transaction's sampling decision, according to the following
precedence rules:
1. If a sampling decision is passed to `start_transaction`
(`start_transaction(name: "my transaction", sampled: True)`), that
decision will be used, regardless of anything else
2. If `traces_sampler` is defined, its decision will be used. It can
choose to keep or ignore any parent sampling decision, or use the
sampling context data to make its own decision or to choose a sample
rate for the transaction.
3. If `traces_sampler` is not defined, but there's a parent sampling
decision, the parent sampling decision will be used.
4. If `traces_sampler` is not defined and there's no parent sampling
decision, `traces_sample_rate` will be used.
"""
hub = self.hub or sentry_sdk.Hub.current
client = hub.client
options = (client and client.options) or {}
transaction_description = "{op}transaction <{name}>".format(
op=("<" + self.op + "> " if self.op else ""), name=self.name
)
# nothing to do if there's no client or if tracing is disabled
if not client or not has_tracing_enabled(options):
self.sampled = False
return
# if the user has forced a sampling decision by passing a `sampled`
# value when starting the transaction, go with that
if self.sampled is not None:
self.sample_rate = float(self.sampled)
return
# we would have bailed already if neither `traces_sampler` nor
# `traces_sample_rate` were defined, so one of these should work; prefer
# the hook if so
sample_rate = (
options["traces_sampler"](sampling_context)
if callable(options.get("traces_sampler"))
else (
# default inheritance behavior
sampling_context["parent_sampled"]
if sampling_context["parent_sampled"] is not None
else options["traces_sample_rate"]
)
)
# Since this is coming from the user (or from a function provided by the
# user), who knows what we might get. (The only valid values are
# booleans or numbers between 0 and 1.)
if not is_valid_sample_rate(sample_rate):
logger.warning(
"[Tracing] Discarding {transaction_description} because of invalid sample rate.".format(
transaction_description=transaction_description,
)
)
self.sampled = False
return
self.sample_rate = float(sample_rate)
# if the function returned 0 (or false), or if `traces_sample_rate` is
# 0, it's a sign the transaction should be dropped
if not sample_rate:
logger.debug(
"[Tracing] Discarding {transaction_description} because {reason}".format(
transaction_description=transaction_description,
reason=(
"traces_sampler returned 0 or False"
if callable(options.get("traces_sampler"))
else "traces_sample_rate is set to 0"
),
)
)
self.sampled = False
return
# Now we roll the dice. random.random is inclusive of 0, but not of 1,
# so strict < is safe here. In case sample_rate is a boolean, cast it
# to a float (True becomes 1.0 and False becomes 0.0)
self.sampled = random.random() < float(sample_rate)
if self.sampled:
logger.debug(
"[Tracing] Starting {transaction_description}".format(
transaction_description=transaction_description,
)
)
else:
logger.debug(
"[Tracing] Discarding {transaction_description} because it's not included in the random sample (sampling rate = {sample_rate})".format(
transaction_description=transaction_description,
sample_rate=float(sample_rate),
)
)
class NoOpSpan(Span):
def __repr__(self):
# type: () -> str
return self.__class__.__name__
def start_child(self, instrumenter=INSTRUMENTER.SENTRY, **kwargs):
# type: (str, **Any) -> NoOpSpan
return NoOpSpan()
def new_span(self, **kwargs):
# type: (**Any) -> NoOpSpan
pass
def set_tag(self, key, value):
# type: (str, Any) -> None
pass
def set_data(self, key, value):
# type: (str, Any) -> None
pass
def set_status(self, value):
# type: (str) -> None
pass
def set_http_status(self, http_status):
# type: (int) -> None
pass
def finish(self, hub=None, end_timestamp=None):
# type: (Optional[sentry_sdk.Hub], Optional[datetime]) -> Optional[str]
pass
# Circular imports
from sentry_sdk.tracing_utils import (
Baggage,
EnvironHeaders,
compute_tracestate_entry,
extract_sentrytrace_data,
extract_tracestate_data,
has_tracestate_enabled,
has_tracing_enabled,
is_valid_sample_rate,
maybe_create_breadcrumbs_from_span,
has_custom_measurements_enabled,
)
| 31,209 | Python | 33.448124 | 151 | 0.581819 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/profiler.py | """
This file is originally based on code from https://github.com/nylas/nylas-perftools, which is published under the following license:
The MIT License (MIT)
Copyright (c) 2014 Nylas
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
"""
import atexit
import os
import platform
import random
import sys
import threading
import time
import uuid
from collections import deque
from contextlib import contextmanager
import sentry_sdk
from sentry_sdk._compat import PY33, PY311
from sentry_sdk._types import MYPY
from sentry_sdk.utils import (
filename_for_module,
handle_in_app_impl,
logger,
nanosecond_time,
)
if MYPY:
from types import FrameType
from typing import Any
from typing import Callable
from typing import Deque
from typing import Dict
from typing import Generator
from typing import List
from typing import Optional
from typing import Set
from typing import Sequence
from typing import Tuple
from typing_extensions import TypedDict
import sentry_sdk.tracing
ThreadId = str
# The exact value of this id is not very meaningful. The purpose
# of this id is to give us a compact and unique identifier for a
# raw stack that can be used as a key to a dictionary so that it
# can be used during the sampled format generation.
RawStackId = Tuple[int, int]
RawFrame = Tuple[
str, # abs_path
Optional[str], # module
Optional[str], # filename
str, # function
int, # lineno
]
RawStack = Tuple[RawFrame, ...]
RawSample = Sequence[Tuple[str, Tuple[RawStackId, RawStack]]]
ProcessedSample = TypedDict(
"ProcessedSample",
{
"elapsed_since_start_ns": str,
"thread_id": ThreadId,
"stack_id": int,
},
)
ProcessedStack = List[int]
ProcessedFrame = TypedDict(
"ProcessedFrame",
{
"abs_path": str,
"filename": Optional[str],
"function": str,
"lineno": int,
"module": Optional[str],
},
)
ProcessedThreadMetadata = TypedDict(
"ProcessedThreadMetadata",
{"name": str},
)
ProcessedProfile = TypedDict(
"ProcessedProfile",
{
"frames": List[ProcessedFrame],
"stacks": List[ProcessedStack],
"samples": List[ProcessedSample],
"thread_metadata": Dict[ThreadId, ProcessedThreadMetadata],
},
)
ProfileContext = TypedDict(
"ProfileContext",
{"profile_id": str},
)
try:
from gevent.monkey import is_module_patched # type: ignore
except ImportError:
def is_module_patched(*args, **kwargs):
# type: (*Any, **Any) -> bool
# unable to import from gevent means no modules have been patched
return False
_scheduler = None # type: Optional[Scheduler]
def setup_profiler(options):
# type: (Dict[str, Any]) -> None
"""
`buffer_secs` determines the max time a sample will be buffered for
`frequency` determines the number of samples to take per second (Hz)
"""
global _scheduler
if _scheduler is not None:
logger.debug("profiling is already setup")
return
if not PY33:
logger.warn("profiling is only supported on Python >= 3.3")
return
frequency = 101
if is_module_patched("threading") or is_module_patched("_thread"):
# If gevent has patched the threading modules then we cannot rely on
# them to spawn a native thread for sampling.
# Instead we default to the GeventScheduler which is capable of
# spawning native threads within gevent.
default_profiler_mode = GeventScheduler.mode
else:
default_profiler_mode = ThreadScheduler.mode
profiler_mode = options["_experiments"].get("profiler_mode", default_profiler_mode)
if (
profiler_mode == ThreadScheduler.mode
# for legacy reasons, we'll keep supporting sleep mode for this scheduler
or profiler_mode == "sleep"
):
_scheduler = ThreadScheduler(frequency=frequency)
elif profiler_mode == GeventScheduler.mode:
try:
_scheduler = GeventScheduler(frequency=frequency)
except ImportError:
raise ValueError("Profiler mode: {} is not available".format(profiler_mode))
else:
raise ValueError("Unknown profiler mode: {}".format(profiler_mode))
_scheduler.setup()
atexit.register(teardown_profiler)
def teardown_profiler():
# type: () -> None
global _scheduler
if _scheduler is not None:
_scheduler.teardown()
_scheduler = None
# We want to impose a stack depth limit so that samples aren't too large.
MAX_STACK_DEPTH = 128
def extract_stack(
frame, # type: Optional[FrameType]
cwd, # type: str
prev_cache=None, # type: Optional[Tuple[RawStackId, RawStack, Deque[FrameType]]]
max_stack_depth=MAX_STACK_DEPTH, # type: int
):
# type: (...) -> Tuple[RawStackId, RawStack, Deque[FrameType]]
"""
Extracts the stack starting the specified frame. The extracted stack
assumes the specified frame is the top of the stack, and works back
to the bottom of the stack.
In the event that the stack is more than `MAX_STACK_DEPTH` frames deep,
only the first `MAX_STACK_DEPTH` frames will be returned.
"""
frames = deque(maxlen=max_stack_depth) # type: Deque[FrameType]
while frame is not None:
frames.append(frame)
frame = frame.f_back
if prev_cache is None:
stack = tuple(extract_frame(frame, cwd) for frame in frames)
else:
_, prev_stack, prev_frames = prev_cache
prev_depth = len(prev_frames)
depth = len(frames)
# We want to match the frame found in this sample to the frames found in the
# previous sample. If they are the same (using the `is` operator), we can
# skip the expensive work of extracting the frame information and reuse what
# we extracted during the last sample.
#
# Make sure to keep in mind that the stack is ordered from the inner most
# from to the outer most frame so be careful with the indexing.
stack = tuple(
prev_stack[i]
if i >= 0 and frame is prev_frames[i]
else extract_frame(frame, cwd)
for i, frame in zip(range(prev_depth - depth, prev_depth), frames)
)
# Instead of mapping the stack into frame ids and hashing
# that as a tuple, we can directly hash the stack.
# This saves us from having to generate yet another list.
# Additionally, using the stack as the key directly is
# costly because the stack can be large, so we pre-hash
# the stack, and use the hash as the key as this will be
# needed a few times to improve performance.
#
# To Reduce the likelihood of hash collisions, we include
# the stack depth. This means that only stacks of the same
# depth can suffer from hash collisions.
stack_id = len(stack), hash(stack)
return stack_id, stack, frames
def extract_frame(frame, cwd):
# type: (FrameType, str) -> RawFrame
abs_path = frame.f_code.co_filename
try:
module = frame.f_globals["__name__"]
except Exception:
module = None
# namedtuples can be many times slower when initialing
# and accessing attribute so we opt to use a tuple here instead
return (
# This originally was `os.path.abspath(abs_path)` but that had
# a large performance overhead.
#
# According to docs, this is equivalent to
# `os.path.normpath(os.path.join(os.getcwd(), path))`.
# The `os.getcwd()` call is slow here, so we precompute it.
#
# Additionally, since we are using normalized path already,
# we skip calling `os.path.normpath` entirely.
os.path.join(cwd, abs_path),
module,
filename_for_module(module, abs_path) or None,
get_frame_name(frame),
frame.f_lineno,
)
if PY311:
def get_frame_name(frame):
# type: (FrameType) -> str
return frame.f_code.co_qualname # type: ignore
else:
def get_frame_name(frame):
# type: (FrameType) -> str
f_code = frame.f_code
co_varnames = f_code.co_varnames
# co_name only contains the frame name. If the frame was a method,
# the class name will NOT be included.
name = f_code.co_name
# if it was a method, we can get the class name by inspecting
# the f_locals for the `self` argument
try:
if (
# the co_varnames start with the frame's positional arguments
# and we expect the first to be `self` if its an instance method
co_varnames
and co_varnames[0] == "self"
and "self" in frame.f_locals
):
for cls in frame.f_locals["self"].__class__.__mro__:
if name in cls.__dict__:
return "{}.{}".format(cls.__name__, name)
except AttributeError:
pass
# if it was a class method, (decorated with `@classmethod`)
# we can get the class name by inspecting the f_locals for the `cls` argument
try:
if (
# the co_varnames start with the frame's positional arguments
# and we expect the first to be `cls` if its a class method
co_varnames
and co_varnames[0] == "cls"
and "cls" in frame.f_locals
):
for cls in frame.f_locals["cls"].__mro__:
if name in cls.__dict__:
return "{}.{}".format(cls.__name__, name)
except AttributeError:
pass
# nothing we can do if it is a staticmethod (decorated with @staticmethod)
# we've done all we can, time to give up and return what we have
return name
MAX_PROFILE_DURATION_NS = int(3e10) # 30 seconds
class Profile(object):
def __init__(
self,
scheduler, # type: Scheduler
transaction, # type: sentry_sdk.tracing.Transaction
hub=None, # type: Optional[sentry_sdk.Hub]
):
# type: (...) -> None
self.scheduler = scheduler
self.transaction = transaction
self.hub = hub
self.active_thread_id = None # type: Optional[int]
self.start_ns = 0 # type: int
self.stop_ns = 0 # type: int
self.active = False # type: bool
self.event_id = uuid.uuid4().hex # type: str
self.indexed_frames = {} # type: Dict[RawFrame, int]
self.indexed_stacks = {} # type: Dict[RawStackId, int]
self.frames = [] # type: List[ProcessedFrame]
self.stacks = [] # type: List[ProcessedStack]
self.samples = [] # type: List[ProcessedSample]
transaction._profile = self
def get_profile_context(self):
# type: () -> ProfileContext
return {"profile_id": self.event_id}
def __enter__(self):
# type: () -> None
hub = self.hub or sentry_sdk.Hub.current
_, scope = hub._stack[-1]
old_profile = scope.profile
scope.profile = self
self._context_manager_state = (hub, scope, old_profile)
self.start_ns = nanosecond_time()
self.scheduler.start_profiling(self)
def __exit__(self, ty, value, tb):
# type: (Optional[Any], Optional[Any], Optional[Any]) -> None
self.scheduler.stop_profiling(self)
self.stop_ns = nanosecond_time()
_, scope, old_profile = self._context_manager_state
del self._context_manager_state
scope.profile = old_profile
def write(self, ts, sample):
# type: (int, RawSample) -> None
if ts < self.start_ns:
return
offset = ts - self.start_ns
if offset > MAX_PROFILE_DURATION_NS:
return
elapsed_since_start_ns = str(offset)
for tid, (stack_id, stack) in sample:
# Check if the stack is indexed first, this lets us skip
# indexing frames if it's not necessary
if stack_id not in self.indexed_stacks:
for frame in stack:
if frame not in self.indexed_frames:
self.indexed_frames[frame] = len(self.indexed_frames)
self.frames.append(
{
"abs_path": frame[0],
"module": frame[1],
"filename": frame[2],
"function": frame[3],
"lineno": frame[4],
}
)
self.indexed_stacks[stack_id] = len(self.indexed_stacks)
self.stacks.append([self.indexed_frames[frame] for frame in stack])
self.samples.append(
{
"elapsed_since_start_ns": elapsed_since_start_ns,
"thread_id": tid,
"stack_id": self.indexed_stacks[stack_id],
}
)
def process(self):
# type: () -> ProcessedProfile
# This collects the thread metadata at the end of a profile. Doing it
# this way means that any threads that terminate before the profile ends
# will not have any metadata associated with it.
thread_metadata = {
str(thread.ident): {
"name": str(thread.name),
}
for thread in threading.enumerate()
} # type: Dict[str, ProcessedThreadMetadata]
return {
"frames": self.frames,
"stacks": self.stacks,
"samples": self.samples,
"thread_metadata": thread_metadata,
}
def to_json(self, event_opt, options):
# type: (Any, Dict[str, Any]) -> Dict[str, Any]
profile = self.process()
handle_in_app_impl(
profile["frames"], options["in_app_exclude"], options["in_app_include"]
)
return {
"environment": event_opt.get("environment"),
"event_id": self.event_id,
"platform": "python",
"profile": profile,
"release": event_opt.get("release", ""),
"timestamp": event_opt["timestamp"],
"version": "1",
"device": {
"architecture": platform.machine(),
},
"os": {
"name": platform.system(),
"version": platform.release(),
},
"runtime": {
"name": platform.python_implementation(),
"version": platform.python_version(),
},
"transactions": [
{
"id": event_opt["event_id"],
"name": self.transaction.name,
# we start the transaction before the profile and this is
# the transaction start time relative to the profile, so we
# hardcode it to 0 until we can start the profile before
"relative_start_ns": "0",
# use the duration of the profile instead of the transaction
# because we end the transaction after the profile
"relative_end_ns": str(self.stop_ns - self.start_ns),
"trace_id": self.transaction.trace_id,
"active_thread_id": str(
self.transaction._active_thread_id
if self.active_thread_id is None
else self.active_thread_id
),
}
],
}
class Scheduler(object):
mode = "unknown"
def __init__(self, frequency):
# type: (int) -> None
self.interval = 1.0 / frequency
self.sampler = self.make_sampler()
self.new_profiles = deque() # type: Deque[Profile]
self.active_profiles = set() # type: Set[Profile]
def __enter__(self):
# type: () -> Scheduler
self.setup()
return self
def __exit__(self, ty, value, tb):
# type: (Optional[Any], Optional[Any], Optional[Any]) -> None
self.teardown()
def setup(self):
# type: () -> None
raise NotImplementedError
def teardown(self):
# type: () -> None
raise NotImplementedError
def start_profiling(self, profile):
# type: (Profile) -> None
profile.active = True
self.new_profiles.append(profile)
def stop_profiling(self, profile):
# type: (Profile) -> None
profile.active = False
def make_sampler(self):
# type: () -> Callable[..., None]
cwd = os.getcwd()
# In Python3+, we can use the `nonlocal` keyword to rebind the value,
# but this is not possible in Python2. To get around this, we wrap
# the value in a list to allow updating this value each sample.
last_sample = [
{}
] # type: List[Dict[int, Tuple[RawStackId, RawStack, Deque[FrameType]]]]
def _sample_stack(*args, **kwargs):
# type: (*Any, **Any) -> None
"""
Take a sample of the stack on all the threads in the process.
This should be called at a regular interval to collect samples.
"""
# no profiles taking place, so we can stop early
if not self.new_profiles and not self.active_profiles:
# make sure to clear the cache if we're not profiling so we dont
# keep a reference to the last stack of frames around
last_sample[0] = {}
return
# This is the number of profiles we want to pop off.
# It's possible another thread adds a new profile to
# the list and we spend longer than we want inside
# the loop below.
#
# Also make sure to set this value before extracting
# frames so we do not write to any new profiles that
# were started after this point.
new_profiles = len(self.new_profiles)
now = nanosecond_time()
raw_sample = {
tid: extract_stack(frame, cwd, last_sample[0].get(tid))
for tid, frame in sys._current_frames().items()
}
# make sure to update the last sample so the cache has
# the most recent stack for better cache hits
last_sample[0] = raw_sample
sample = [
(str(tid), (stack_id, stack))
for tid, (stack_id, stack, _) in raw_sample.items()
]
# Move the new profiles into the active_profiles set.
#
# We cannot directly add the to active_profiles set
# in `start_profiling` because it is called from other
# threads which can cause a RuntimeError when it the
# set sizes changes during iteration without a lock.
#
# We also want to avoid using a lock here so threads
# that are starting profiles are not blocked until it
# can acquire the lock.
for _ in range(new_profiles):
self.active_profiles.add(self.new_profiles.popleft())
inactive_profiles = []
for profile in self.active_profiles:
if profile.active:
profile.write(now, sample)
else:
# If a thread is marked inactive, we buffer it
# to `inactive_profiles` so it can be removed.
# We cannot remove it here as it would result
# in a RuntimeError.
inactive_profiles.append(profile)
for profile in inactive_profiles:
self.active_profiles.remove(profile)
return _sample_stack
class ThreadScheduler(Scheduler):
"""
This scheduler is based on running a daemon thread that will call
the sampler at a regular interval.
"""
mode = "thread"
name = "sentry.profiler.ThreadScheduler"
def __init__(self, frequency):
# type: (int) -> None
super(ThreadScheduler, self).__init__(frequency=frequency)
# used to signal to the thread that it should stop
self.event = threading.Event()
# make sure the thread is a daemon here otherwise this
# can keep the application running after other threads
# have exited
self.thread = threading.Thread(name=self.name, target=self.run, daemon=True)
def setup(self):
# type: () -> None
self.thread.start()
def teardown(self):
# type: () -> None
self.event.set()
self.thread.join()
def run(self):
# type: () -> None
last = time.perf_counter()
while True:
if self.event.is_set():
break
self.sampler()
# some time may have elapsed since the last time
# we sampled, so we need to account for that and
# not sleep for too long
elapsed = time.perf_counter() - last
if elapsed < self.interval:
time.sleep(self.interval - elapsed)
# after sleeping, make sure to take the current
# timestamp so we can use it next iteration
last = time.perf_counter()
class GeventScheduler(Scheduler):
"""
This scheduler is based on the thread scheduler but adapted to work with
gevent. When using gevent, it may monkey patch the threading modules
(`threading` and `_thread`). This results in the use of greenlets instead
of native threads.
This is an issue because the sampler CANNOT run in a greenlet because
1. Other greenlets doing sync work will prevent the sampler from running
2. The greenlet runs in the same thread as other greenlets so when taking
a sample, other greenlets will have been evicted from the thread. This
results in a sample containing only the sampler's code.
"""
mode = "gevent"
name = "sentry.profiler.GeventScheduler"
def __init__(self, frequency):
# type: (int) -> None
# This can throw an ImportError that must be caught if `gevent` is
# not installed.
from gevent.threadpool import ThreadPool # type: ignore
super(GeventScheduler, self).__init__(frequency=frequency)
# used to signal to the thread that it should stop
self.event = threading.Event()
# Using gevent's ThreadPool allows us to bypass greenlets and spawn
# native threads.
self.pool = ThreadPool(1)
def setup(self):
# type: () -> None
self.pool.spawn(self.run)
def teardown(self):
# type: () -> None
self.event.set()
self.pool.join()
def run(self):
# type: () -> None
last = time.perf_counter()
while True:
if self.event.is_set():
break
self.sampler()
# some time may have elapsed since the last time
# we sampled, so we need to account for that and
# not sleep for too long
elapsed = time.perf_counter() - last
if elapsed < self.interval:
time.sleep(self.interval - elapsed)
# after sleeping, make sure to take the current
# timestamp so we can use it next iteration
last = time.perf_counter()
def _should_profile(transaction, hub):
# type: (sentry_sdk.tracing.Transaction, sentry_sdk.Hub) -> bool
# The corresponding transaction was not sampled,
# so don't generate a profile for it.
if not transaction.sampled:
return False
# The profiler hasn't been properly initialized.
if _scheduler is None:
return False
client = hub.client
# The client is None, so we can't get the sample rate.
if client is None:
return False
options = client.options
profiles_sample_rate = options["_experiments"].get("profiles_sample_rate")
# The profiles_sample_rate option was not set, so profiling
# was never enabled.
if profiles_sample_rate is None:
return False
return random.random() < float(profiles_sample_rate)
@contextmanager
def start_profiling(transaction, hub=None):
# type: (sentry_sdk.tracing.Transaction, Optional[sentry_sdk.Hub]) -> Generator[None, None, None]
hub = hub or sentry_sdk.Hub.current
# if profiling was not enabled, this should be a noop
if _should_profile(transaction, hub):
assert _scheduler is not None
with Profile(_scheduler, transaction, hub):
yield
else:
yield
| 26,041 | Python | 32.733161 | 460 | 0.585423 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/_queue.py | """
A fork of Python 3.6's stdlib queue with Lock swapped out for RLock to avoid a
deadlock while garbage collecting.
See
https://codewithoutrules.com/2017/08/16/concurrency-python/
https://bugs.python.org/issue14976
https://github.com/sqlalchemy/sqlalchemy/blob/4eb747b61f0c1b1c25bdee3856d7195d10a0c227/lib/sqlalchemy/queue.py#L1
We also vendor the code to evade eventlet's broken monkeypatching, see
https://github.com/getsentry/sentry-python/pull/484
"""
import threading
from collections import deque
from time import time
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
__all__ = ["EmptyError", "FullError", "Queue"]
class EmptyError(Exception):
"Exception raised by Queue.get(block=0)/get_nowait()."
pass
class FullError(Exception):
"Exception raised by Queue.put(block=0)/put_nowait()."
pass
class Queue(object):
"""Create a queue object with a given maximum size.
If maxsize is <= 0, the queue size is infinite.
"""
def __init__(self, maxsize=0):
self.maxsize = maxsize
self._init(maxsize)
# mutex must be held whenever the queue is mutating. All methods
# that acquire mutex must release it before returning. mutex
# is shared between the three conditions, so acquiring and
# releasing the conditions also acquires and releases mutex.
self.mutex = threading.RLock()
# Notify not_empty whenever an item is added to the queue; a
# thread waiting to get is notified then.
self.not_empty = threading.Condition(self.mutex)
# Notify not_full whenever an item is removed from the queue;
# a thread waiting to put is notified then.
self.not_full = threading.Condition(self.mutex)
# Notify all_tasks_done whenever the number of unfinished tasks
# drops to zero; thread waiting to join() is notified to resume
self.all_tasks_done = threading.Condition(self.mutex)
self.unfinished_tasks = 0
def task_done(self):
"""Indicate that a formerly enqueued task is complete.
Used by Queue consumer threads. For each get() used to fetch a task,
a subsequent call to task_done() tells the queue that the processing
on the task is complete.
If a join() is currently blocking, it will resume when all items
have been processed (meaning that a task_done() call was received
for every item that had been put() into the queue).
Raises a ValueError if called more times than there were items
placed in the queue.
"""
with self.all_tasks_done:
unfinished = self.unfinished_tasks - 1
if unfinished <= 0:
if unfinished < 0:
raise ValueError("task_done() called too many times")
self.all_tasks_done.notify_all()
self.unfinished_tasks = unfinished
def join(self):
"""Blocks until all items in the Queue have been gotten and processed.
The count of unfinished tasks goes up whenever an item is added to the
queue. The count goes down whenever a consumer thread calls task_done()
to indicate the item was retrieved and all work on it is complete.
When the count of unfinished tasks drops to zero, join() unblocks.
"""
with self.all_tasks_done:
while self.unfinished_tasks:
self.all_tasks_done.wait()
def qsize(self):
"""Return the approximate size of the queue (not reliable!)."""
with self.mutex:
return self._qsize()
def empty(self):
"""Return True if the queue is empty, False otherwise (not reliable!).
This method is likely to be removed at some point. Use qsize() == 0
as a direct substitute, but be aware that either approach risks a race
condition where a queue can grow before the result of empty() or
qsize() can be used.
To create code that needs to wait for all queued tasks to be
completed, the preferred technique is to use the join() method.
"""
with self.mutex:
return not self._qsize()
def full(self):
"""Return True if the queue is full, False otherwise (not reliable!).
This method is likely to be removed at some point. Use qsize() >= n
as a direct substitute, but be aware that either approach risks a race
condition where a queue can shrink before the result of full() or
qsize() can be used.
"""
with self.mutex:
return 0 < self.maxsize <= self._qsize()
def put(self, item, block=True, timeout=None):
"""Put an item into the queue.
If optional args 'block' is true and 'timeout' is None (the default),
block if necessary until a free slot is available. If 'timeout' is
a non-negative number, it blocks at most 'timeout' seconds and raises
the FullError exception if no free slot was available within that time.
Otherwise ('block' is false), put an item on the queue if a free slot
is immediately available, else raise the FullError exception ('timeout'
is ignored in that case).
"""
with self.not_full:
if self.maxsize > 0:
if not block:
if self._qsize() >= self.maxsize:
raise FullError()
elif timeout is None:
while self._qsize() >= self.maxsize:
self.not_full.wait()
elif timeout < 0:
raise ValueError("'timeout' must be a non-negative number")
else:
endtime = time() + timeout
while self._qsize() >= self.maxsize:
remaining = endtime - time()
if remaining <= 0.0:
raise FullError()
self.not_full.wait(remaining)
self._put(item)
self.unfinished_tasks += 1
self.not_empty.notify()
def get(self, block=True, timeout=None):
"""Remove and return an item from the queue.
If optional args 'block' is true and 'timeout' is None (the default),
block if necessary until an item is available. If 'timeout' is
a non-negative number, it blocks at most 'timeout' seconds and raises
the EmptyError exception if no item was available within that time.
Otherwise ('block' is false), return an item if one is immediately
available, else raise the EmptyError exception ('timeout' is ignored
in that case).
"""
with self.not_empty:
if not block:
if not self._qsize():
raise EmptyError()
elif timeout is None:
while not self._qsize():
self.not_empty.wait()
elif timeout < 0:
raise ValueError("'timeout' must be a non-negative number")
else:
endtime = time() + timeout
while not self._qsize():
remaining = endtime - time()
if remaining <= 0.0:
raise EmptyError()
self.not_empty.wait(remaining)
item = self._get()
self.not_full.notify()
return item
def put_nowait(self, item):
"""Put an item into the queue without blocking.
Only enqueue the item if a free slot is immediately available.
Otherwise raise the FullError exception.
"""
return self.put(item, block=False)
def get_nowait(self):
"""Remove and return an item from the queue without blocking.
Only get an item if one is immediately available. Otherwise
raise the EmptyError exception.
"""
return self.get(block=False)
# Override these methods to implement other queue organizations
# (e.g. stack or priority queue).
# These will only be called with appropriate locks held
# Initialize the queue representation
def _init(self, maxsize):
self.queue = deque() # type: Any
def _qsize(self):
return len(self.queue)
# Put a new item in the queue
def _put(self, item):
self.queue.append(item)
# Get an item from the queue
def _get(self):
return self.queue.popleft()
| 8,475 | Python | 36.175438 | 113 | 0.609204 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/serializer.py | import sys
import math
from datetime import datetime
from sentry_sdk.utils import (
AnnotatedValue,
capture_internal_exception,
disable_capture_event,
format_timestamp,
json_dumps,
safe_repr,
strip_string,
)
import sentry_sdk.utils
from sentry_sdk._compat import (
text_type,
PY2,
string_types,
number_types,
iteritems,
binary_sequence_types,
)
from sentry_sdk._types import MYPY
if MYPY:
from datetime import timedelta
from types import TracebackType
from typing import Any
from typing import Callable
from typing import ContextManager
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
from typing import Type
from typing import Union
from sentry_sdk._types import NotImplementedType, Event
Span = Dict[str, Any]
ReprProcessor = Callable[[Any, Dict[str, Any]], Union[NotImplementedType, str]]
Segment = Union[str, int]
if PY2:
# Importing ABCs from collections is deprecated, and will stop working in 3.8
# https://github.com/python/cpython/blob/master/Lib/collections/__init__.py#L49
from collections import Mapping, Sequence, Set
serializable_str_types = string_types + binary_sequence_types
else:
# New in 3.3
# https://docs.python.org/3/library/collections.abc.html
from collections.abc import Mapping, Sequence, Set
# Bytes are technically not strings in Python 3, but we can serialize them
serializable_str_types = string_types + binary_sequence_types
# Maximum length of JSON-serialized event payloads that can be safely sent
# before the server may reject the event due to its size. This is not intended
# to reflect actual values defined server-side, but rather only be an upper
# bound for events sent by the SDK.
#
# Can be overwritten if wanting to send more bytes, e.g. with a custom server.
# When changing this, keep in mind that events may be a little bit larger than
# this value due to attached metadata, so keep the number conservative.
MAX_EVENT_BYTES = 10**6
MAX_DATABAG_DEPTH = 5
MAX_DATABAG_BREADTH = 10
CYCLE_MARKER = "<cyclic>"
global_repr_processors = [] # type: List[ReprProcessor]
def add_global_repr_processor(processor):
# type: (ReprProcessor) -> None
global_repr_processors.append(processor)
class Memo(object):
__slots__ = ("_ids", "_objs")
def __init__(self):
# type: () -> None
self._ids = {} # type: Dict[int, Any]
self._objs = [] # type: List[Any]
def memoize(self, obj):
# type: (Any) -> ContextManager[bool]
self._objs.append(obj)
return self
def __enter__(self):
# type: () -> bool
obj = self._objs[-1]
if id(obj) in self._ids:
return True
else:
self._ids[id(obj)] = obj
return False
def __exit__(
self,
ty, # type: Optional[Type[BaseException]]
value, # type: Optional[BaseException]
tb, # type: Optional[TracebackType]
):
# type: (...) -> None
self._ids.pop(id(self._objs.pop()), None)
def serialize(event, smart_transaction_trimming=False, **kwargs):
# type: (Event, bool, **Any) -> Event
memo = Memo()
path = [] # type: List[Segment]
meta_stack = [] # type: List[Dict[str, Any]]
span_description_bytes = [] # type: List[int]
def _annotate(**meta):
# type: (**Any) -> None
while len(meta_stack) <= len(path):
try:
segment = path[len(meta_stack) - 1]
node = meta_stack[-1].setdefault(text_type(segment), {})
except IndexError:
node = {}
meta_stack.append(node)
meta_stack[-1].setdefault("", {}).update(meta)
def _should_repr_strings():
# type: () -> Optional[bool]
"""
By default non-serializable objects are going through
safe_repr(). For certain places in the event (local vars) we
want to repr() even things that are JSON-serializable to
make their type more apparent. For example, it's useful to
see the difference between a unicode-string and a bytestring
when viewing a stacktrace.
For container-types we still don't do anything different.
Generally we just try to make the Sentry UI present exactly
what a pretty-printed repr would look like.
:returns: `True` if we are somewhere in frame variables, and `False` if
we are in a position where we will never encounter frame variables
when recursing (for example, we're in `event.extra`). `None` if we
are not (yet) in frame variables, but might encounter them when
recursing (e.g. we're in `event.exception`)
"""
try:
p0 = path[0]
if p0 == "stacktrace" and path[1] == "frames" and path[3] == "vars":
return True
if (
p0 in ("threads", "exception")
and path[1] == "values"
and path[3] == "stacktrace"
and path[4] == "frames"
and path[6] == "vars"
):
return True
except IndexError:
return None
return False
def _is_databag():
# type: () -> Optional[bool]
"""
A databag is any value that we need to trim.
:returns: Works like `_should_repr_strings()`. `True` for "yes",
`False` for :"no", `None` for "maybe soon".
"""
try:
rv = _should_repr_strings()
if rv in (True, None):
return rv
p0 = path[0]
if p0 == "request" and path[1] == "data":
return True
if p0 == "breadcrumbs" and path[1] == "values":
path[2]
return True
if p0 == "extra":
return True
except IndexError:
return None
return False
def _serialize_node(
obj, # type: Any
is_databag=None, # type: Optional[bool]
should_repr_strings=None, # type: Optional[bool]
segment=None, # type: Optional[Segment]
remaining_breadth=None, # type: Optional[int]
remaining_depth=None, # type: Optional[int]
):
# type: (...) -> Any
if segment is not None:
path.append(segment)
try:
with memo.memoize(obj) as result:
if result:
return CYCLE_MARKER
return _serialize_node_impl(
obj,
is_databag=is_databag,
should_repr_strings=should_repr_strings,
remaining_depth=remaining_depth,
remaining_breadth=remaining_breadth,
)
except BaseException:
capture_internal_exception(sys.exc_info())
if is_databag:
return "<failed to serialize, use init(debug=True) to see error logs>"
return None
finally:
if segment is not None:
path.pop()
del meta_stack[len(path) + 1 :]
def _flatten_annotated(obj):
# type: (Any) -> Any
if isinstance(obj, AnnotatedValue):
_annotate(**obj.metadata)
obj = obj.value
return obj
def _serialize_node_impl(
obj, is_databag, should_repr_strings, remaining_depth, remaining_breadth
):
# type: (Any, Optional[bool], Optional[bool], Optional[int], Optional[int]) -> Any
if should_repr_strings is None:
should_repr_strings = _should_repr_strings()
if is_databag is None:
is_databag = _is_databag()
if is_databag and remaining_depth is None:
remaining_depth = MAX_DATABAG_DEPTH
if is_databag and remaining_breadth is None:
remaining_breadth = MAX_DATABAG_BREADTH
obj = _flatten_annotated(obj)
if remaining_depth is not None and remaining_depth <= 0:
_annotate(rem=[["!limit", "x"]])
if is_databag:
return _flatten_annotated(strip_string(safe_repr(obj)))
return None
if is_databag and global_repr_processors:
hints = {"memo": memo, "remaining_depth": remaining_depth}
for processor in global_repr_processors:
result = processor(obj, hints)
if result is not NotImplemented:
return _flatten_annotated(result)
sentry_repr = getattr(type(obj), "__sentry_repr__", None)
if obj is None or isinstance(obj, (bool, number_types)):
if should_repr_strings or (
isinstance(obj, float) and (math.isinf(obj) or math.isnan(obj))
):
return safe_repr(obj)
else:
return obj
elif callable(sentry_repr):
return sentry_repr(obj)
elif isinstance(obj, datetime):
return (
text_type(format_timestamp(obj))
if not should_repr_strings
else safe_repr(obj)
)
elif isinstance(obj, Mapping):
# Create temporary copy here to avoid calling too much code that
# might mutate our dictionary while we're still iterating over it.
obj = dict(iteritems(obj))
rv_dict = {} # type: Dict[str, Any]
i = 0
for k, v in iteritems(obj):
if remaining_breadth is not None and i >= remaining_breadth:
_annotate(len=len(obj))
break
str_k = text_type(k)
v = _serialize_node(
v,
segment=str_k,
should_repr_strings=should_repr_strings,
is_databag=is_databag,
remaining_depth=remaining_depth - 1
if remaining_depth is not None
else None,
remaining_breadth=remaining_breadth,
)
rv_dict[str_k] = v
i += 1
return rv_dict
elif not isinstance(obj, serializable_str_types) and isinstance(
obj, (Set, Sequence)
):
rv_list = []
for i, v in enumerate(obj):
if remaining_breadth is not None and i >= remaining_breadth:
_annotate(len=len(obj))
break
rv_list.append(
_serialize_node(
v,
segment=i,
should_repr_strings=should_repr_strings,
is_databag=is_databag,
remaining_depth=remaining_depth - 1
if remaining_depth is not None
else None,
remaining_breadth=remaining_breadth,
)
)
return rv_list
if should_repr_strings:
obj = safe_repr(obj)
else:
if isinstance(obj, bytes) or isinstance(obj, bytearray):
obj = obj.decode("utf-8", "replace")
if not isinstance(obj, string_types):
obj = safe_repr(obj)
# Allow span descriptions to be longer than other strings.
#
# For database auto-instrumented spans, the description contains
# potentially long SQL queries that are most useful when not truncated.
# Because arbitrarily large events may be discarded by the server as a
# protection mechanism, we dynamically limit the description length
# later in _truncate_span_descriptions.
if (
smart_transaction_trimming
and len(path) == 3
and path[0] == "spans"
and path[-1] == "description"
):
span_description_bytes.append(len(obj))
return obj
return _flatten_annotated(strip_string(obj))
def _truncate_span_descriptions(serialized_event, event, excess_bytes):
# type: (Event, Event, int) -> None
"""
Modifies serialized_event in-place trying to remove excess_bytes from
span descriptions. The original event is used read-only to access the
span timestamps (represented as RFC3399-formatted strings in
serialized_event).
It uses heuristics to prioritize preserving the description of spans
that might be the most interesting ones in terms of understanding and
optimizing performance.
"""
# When truncating a description, preserve a small prefix.
min_length = 10
def shortest_duration_longest_description_first(args):
# type: (Tuple[int, Span]) -> Tuple[timedelta, int]
i, serialized_span = args
span = event["spans"][i]
now = datetime.utcnow()
start = span.get("start_timestamp") or now
end = span.get("timestamp") or now
duration = end - start
description = serialized_span.get("description") or ""
return (duration, -len(description))
# Note: for simplicity we sort spans by exact duration and description
# length. If ever needed, we could have a more involved heuristic, e.g.
# replacing exact durations with "buckets" and/or looking at other span
# properties.
path.append("spans")
for i, span in sorted(
enumerate(serialized_event.get("spans") or []),
key=shortest_duration_longest_description_first,
):
description = span.get("description") or ""
if len(description) <= min_length:
continue
excess_bytes -= len(description) - min_length
path.extend([i, "description"])
# Note: the last time we call strip_string we could preserve a few
# more bytes up to a total length of MAX_EVENT_BYTES. Since that's
# not strictly required, we leave it out for now for simplicity.
span["description"] = _flatten_annotated(
strip_string(description, max_length=min_length)
)
del path[-2:]
del meta_stack[len(path) + 1 :]
if excess_bytes <= 0:
break
path.pop()
del meta_stack[len(path) + 1 :]
disable_capture_event.set(True)
try:
rv = _serialize_node(event, **kwargs)
if meta_stack and isinstance(rv, dict):
rv["_meta"] = meta_stack[0]
sum_span_description_bytes = sum(span_description_bytes)
if smart_transaction_trimming and sum_span_description_bytes > 0:
span_count = len(event.get("spans") or [])
# This is an upper bound of how many bytes all descriptions would
# consume if the usual string truncation in _serialize_node_impl
# would have taken place, not accounting for the metadata attached
# as event["_meta"].
descriptions_budget_bytes = span_count * sentry_sdk.utils.MAX_STRING_LENGTH
# If by not truncating descriptions we ended up with more bytes than
# per the usual string truncation, check if the event is too large
# and we need to truncate some descriptions.
#
# This is guarded with an if statement to avoid JSON-encoding the
# event unnecessarily.
if sum_span_description_bytes > descriptions_budget_bytes:
original_bytes = len(json_dumps(rv))
excess_bytes = original_bytes - MAX_EVENT_BYTES
if excess_bytes > 0:
# Event is too large, will likely be discarded by the
# server. Trim it down before sending.
_truncate_span_descriptions(rv, event, excess_bytes)
# Span descriptions truncated, set or reset _meta.
#
# We run the same code earlier because we want to account
# for _meta when calculating original_bytes, the number of
# bytes in the JSON-encoded event.
if meta_stack and isinstance(rv, dict):
rv["_meta"] = meta_stack[0]
return rv
finally:
disable_capture_event.set(False)
| 16,573 | Python | 33.819328 | 90 | 0.560792 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/_types.py | try:
from typing import TYPE_CHECKING as MYPY
except ImportError:
MYPY = False
if MYPY:
from types import TracebackType
from typing import Any
from typing import Callable
from typing import Dict
from typing import Optional
from typing import Tuple
from typing import Type
from typing import Union
from typing_extensions import Literal
ExcInfo = Tuple[
Optional[Type[BaseException]], Optional[BaseException], Optional[TracebackType]
]
Event = Dict[str, Any]
Hint = Dict[str, Any]
Breadcrumb = Dict[str, Any]
BreadcrumbHint = Dict[str, Any]
SamplingContext = Dict[str, Any]
EventProcessor = Callable[[Event, Hint], Optional[Event]]
ErrorProcessor = Callable[[Event, ExcInfo], Optional[Event]]
BreadcrumbProcessor = Callable[[Breadcrumb, BreadcrumbHint], Optional[Breadcrumb]]
TransactionProcessor = Callable[[Event, Hint], Optional[Event]]
TracesSampler = Callable[[SamplingContext], Union[float, int, bool]]
# https://github.com/python/mypy/issues/5710
NotImplementedType = Any
EventDataCategory = Literal[
"default",
"error",
"crash",
"transaction",
"security",
"attachment",
"session",
"internal",
"profile",
]
SessionStatus = Literal["ok", "exited", "crashed", "abnormal"]
EndpointType = Literal["store", "envelope"]
DurationUnit = Literal[
"nanosecond",
"microsecond",
"millisecond",
"second",
"minute",
"hour",
"day",
"week",
]
InformationUnit = Literal[
"bit",
"byte",
"kilobyte",
"kibibyte",
"megabyte",
"mebibyte",
"gigabyte",
"gibibyte",
"terabyte",
"tebibyte",
"petabyte",
"pebibyte",
"exabyte",
"exbibyte",
]
FractionUnit = Literal["ratio", "percent"]
MeasurementUnit = Union[DurationUnit, InformationUnit, FractionUnit, str]
| 2,045 | Python | 23.357143 | 87 | 0.602445 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/debug.py | import sys
import logging
from sentry_sdk import utils
from sentry_sdk.hub import Hub
from sentry_sdk.utils import logger
from sentry_sdk.client import _client_init_debug
from logging import LogRecord
class _HubBasedClientFilter(logging.Filter):
def filter(self, record):
# type: (LogRecord) -> bool
if _client_init_debug.get(False):
return True
hub = Hub.current
if hub is not None and hub.client is not None:
return hub.client.options["debug"]
return False
def init_debug_support():
# type: () -> None
if not logger.handlers:
configure_logger()
configure_debug_hub()
def configure_logger():
# type: () -> None
_handler = logging.StreamHandler(sys.stderr)
_handler.setFormatter(logging.Formatter(" [sentry] %(levelname)s: %(message)s"))
logger.addHandler(_handler)
logger.setLevel(logging.DEBUG)
logger.addFilter(_HubBasedClientFilter())
def configure_debug_hub():
# type: () -> None
def _get_debug_hub():
# type: () -> Hub
return Hub.current
utils._get_debug_hub = _get_debug_hub
| 1,132 | Python | 24.177777 | 84 | 0.65106 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/_compat.py | import sys
from sentry_sdk._types import MYPY
if MYPY:
from typing import Optional
from typing import Tuple
from typing import Any
from typing import Type
from typing import TypeVar
T = TypeVar("T")
PY2 = sys.version_info[0] == 2
PY33 = sys.version_info[0] == 3 and sys.version_info[1] >= 3
PY37 = sys.version_info[0] == 3 and sys.version_info[1] >= 7
PY310 = sys.version_info[0] == 3 and sys.version_info[1] >= 10
PY311 = sys.version_info[0] == 3 and sys.version_info[1] >= 11
if PY2:
import urlparse
text_type = unicode # noqa
string_types = (str, text_type)
number_types = (int, long, float) # noqa
int_types = (int, long) # noqa
iteritems = lambda x: x.iteritems() # noqa: B301
binary_sequence_types = (bytearray, memoryview)
def implements_str(cls):
# type: (T) -> T
cls.__unicode__ = cls.__str__
cls.__str__ = lambda x: unicode(x).encode("utf-8") # noqa
return cls
exec("def reraise(tp, value, tb=None):\n raise tp, value, tb")
else:
import urllib.parse as urlparse # noqa
text_type = str
string_types = (text_type,) # type: Tuple[type]
number_types = (int, float) # type: Tuple[type, type]
int_types = (int,)
iteritems = lambda x: x.items()
binary_sequence_types = (bytes, bytearray, memoryview)
def implements_str(x):
# type: (T) -> T
return x
def reraise(tp, value, tb=None):
# type: (Optional[Type[BaseException]], Optional[BaseException], Optional[Any]) -> None
assert value is not None
if value.__traceback__ is not tb:
raise value.with_traceback(tb)
raise value
def with_metaclass(meta, *bases):
# type: (Any, *Any) -> Any
class MetaClass(type):
def __new__(metacls, name, this_bases, d):
# type: (Any, Any, Any, Any) -> Any
return meta(name, bases, d)
return type.__new__(MetaClass, "temporary_class", (), {})
def check_thread_support():
# type: () -> None
try:
from uwsgi import opt # type: ignore
except ImportError:
return
# When `threads` is passed in as a uwsgi option,
# `enable-threads` is implied on.
if "threads" in opt:
return
if str(opt.get("enable-threads", "0")).lower() in ("false", "off", "no", "0"):
from warnings import warn
warn(
Warning(
"We detected the use of uwsgi with disabled threads. "
"This will cause issues with the transport you are "
"trying to use. Please enable threading for uwsgi. "
'(Add the "enable-threads" flag).'
)
)
| 2,702 | Python | 27.15625 | 95 | 0.581421 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/scope.py | from copy import copy
from collections import deque
from itertools import chain
from sentry_sdk._functools import wraps
from sentry_sdk._types import MYPY
from sentry_sdk.utils import logger, capture_internal_exceptions
from sentry_sdk.tracing import Transaction
from sentry_sdk.attachments import Attachment
if MYPY:
from typing import Any
from typing import Dict
from typing import Optional
from typing import Deque
from typing import List
from typing import Callable
from typing import TypeVar
from sentry_sdk._types import (
Breadcrumb,
Event,
EventProcessor,
ErrorProcessor,
ExcInfo,
Hint,
Type,
)
from sentry_sdk.profiler import Profile
from sentry_sdk.tracing import Span
from sentry_sdk.session import Session
F = TypeVar("F", bound=Callable[..., Any])
T = TypeVar("T")
global_event_processors = [] # type: List[EventProcessor]
def add_global_event_processor(processor):
# type: (EventProcessor) -> None
global_event_processors.append(processor)
def _attr_setter(fn):
# type: (Any) -> Any
return property(fset=fn, doc=fn.__doc__)
def _disable_capture(fn):
# type: (F) -> F
@wraps(fn)
def wrapper(self, *args, **kwargs):
# type: (Any, *Dict[str, Any], **Any) -> Any
if not self._should_capture:
return
try:
self._should_capture = False
return fn(self, *args, **kwargs)
finally:
self._should_capture = True
return wrapper # type: ignore
class Scope(object):
"""The scope holds extra information that should be sent with all
events that belong to it.
"""
# NOTE: Even though it should not happen, the scope needs to not crash when
# accessed by multiple threads. It's fine if it's full of races, but those
# races should never make the user application crash.
#
# The same needs to hold for any accesses of the scope the SDK makes.
__slots__ = (
"_level",
"_name",
"_fingerprint",
# note that for legacy reasons, _transaction is the transaction *name*,
# not a Transaction object (the object is stored in _span)
"_transaction",
"_transaction_info",
"_user",
"_tags",
"_contexts",
"_extras",
"_breadcrumbs",
"_event_processors",
"_error_processors",
"_should_capture",
"_span",
"_session",
"_attachments",
"_force_auto_session_tracking",
"_profile",
)
def __init__(self):
# type: () -> None
self._event_processors = [] # type: List[EventProcessor]
self._error_processors = [] # type: List[ErrorProcessor]
self._name = None # type: Optional[str]
self.clear()
def clear(self):
# type: () -> None
"""Clears the entire scope."""
self._level = None # type: Optional[str]
self._fingerprint = None # type: Optional[List[str]]
self._transaction = None # type: Optional[str]
self._transaction_info = {} # type: Dict[str, str]
self._user = None # type: Optional[Dict[str, Any]]
self._tags = {} # type: Dict[str, Any]
self._contexts = {} # type: Dict[str, Dict[str, Any]]
self._extras = {} # type: Dict[str, Any]
self._attachments = [] # type: List[Attachment]
self.clear_breadcrumbs()
self._should_capture = True
self._span = None # type: Optional[Span]
self._session = None # type: Optional[Session]
self._force_auto_session_tracking = None # type: Optional[bool]
self._profile = None # type: Optional[Profile]
@_attr_setter
def level(self, value):
# type: (Optional[str]) -> None
"""When set this overrides the level. Deprecated in favor of set_level."""
self._level = value
def set_level(self, value):
# type: (Optional[str]) -> None
"""Sets the level for the scope."""
self._level = value
@_attr_setter
def fingerprint(self, value):
# type: (Optional[List[str]]) -> None
"""When set this overrides the default fingerprint."""
self._fingerprint = value
@property
def transaction(self):
# type: () -> Any
# would be type: () -> Optional[Transaction], see https://github.com/python/mypy/issues/3004
"""Return the transaction (root span) in the scope, if any."""
# there is no span/transaction on the scope
if self._span is None:
return None
# there is an orphan span on the scope
if self._span.containing_transaction is None:
return None
# there is either a transaction (which is its own containing
# transaction) or a non-orphan span on the scope
return self._span.containing_transaction
@transaction.setter
def transaction(self, value):
# type: (Any) -> None
# would be type: (Optional[str]) -> None, see https://github.com/python/mypy/issues/3004
"""When set this forces a specific transaction name to be set.
Deprecated: use set_transaction_name instead."""
# XXX: the docstring above is misleading. The implementation of
# apply_to_event prefers an existing value of event.transaction over
# anything set in the scope.
# XXX: note that with the introduction of the Scope.transaction getter,
# there is a semantic and type mismatch between getter and setter. The
# getter returns a Transaction, the setter sets a transaction name.
# Without breaking version compatibility, we could make the setter set a
# transaction name or transaction (self._span) depending on the type of
# the value argument.
logger.warning(
"Assigning to scope.transaction directly is deprecated: use scope.set_transaction_name() instead."
)
self._transaction = value
if self._span and self._span.containing_transaction:
self._span.containing_transaction.name = value
def set_transaction_name(self, name, source=None):
# type: (str, Optional[str]) -> None
"""Set the transaction name and optionally the transaction source."""
self._transaction = name
if self._span and self._span.containing_transaction:
self._span.containing_transaction.name = name
if source:
self._span.containing_transaction.source = source
if source:
self._transaction_info["source"] = source
@_attr_setter
def user(self, value):
# type: (Optional[Dict[str, Any]]) -> None
"""When set a specific user is bound to the scope. Deprecated in favor of set_user."""
self.set_user(value)
def set_user(self, value):
# type: (Optional[Dict[str, Any]]) -> None
"""Sets a user for the scope."""
self._user = value
if self._session is not None:
self._session.update(user=value)
@property
def span(self):
# type: () -> Optional[Span]
"""Get/set current tracing span or transaction."""
return self._span
@span.setter
def span(self, span):
# type: (Optional[Span]) -> None
self._span = span
# XXX: this differs from the implementation in JS, there Scope.setSpan
# does not set Scope._transactionName.
if isinstance(span, Transaction):
transaction = span
if transaction.name:
self._transaction = transaction.name
@property
def profile(self):
# type: () -> Optional[Profile]
return self._profile
@profile.setter
def profile(self, profile):
# type: (Optional[Profile]) -> None
self._profile = profile
def set_tag(
self,
key, # type: str
value, # type: Any
):
# type: (...) -> None
"""Sets a tag for a key to a specific value."""
self._tags[key] = value
def remove_tag(
self, key # type: str
):
# type: (...) -> None
"""Removes a specific tag."""
self._tags.pop(key, None)
def set_context(
self,
key, # type: str
value, # type: Dict[str, Any]
):
# type: (...) -> None
"""Binds a context at a certain key to a specific value."""
self._contexts[key] = value
def remove_context(
self, key # type: str
):
# type: (...) -> None
"""Removes a context."""
self._contexts.pop(key, None)
def set_extra(
self,
key, # type: str
value, # type: Any
):
# type: (...) -> None
"""Sets an extra key to a specific value."""
self._extras[key] = value
def remove_extra(
self, key # type: str
):
# type: (...) -> None
"""Removes a specific extra key."""
self._extras.pop(key, None)
def clear_breadcrumbs(self):
# type: () -> None
"""Clears breadcrumb buffer."""
self._breadcrumbs = deque() # type: Deque[Breadcrumb]
def add_attachment(
self,
bytes=None, # type: Optional[bytes]
filename=None, # type: Optional[str]
path=None, # type: Optional[str]
content_type=None, # type: Optional[str]
add_to_transactions=False, # type: bool
):
# type: (...) -> None
"""Adds an attachment to future events sent."""
self._attachments.append(
Attachment(
bytes=bytes,
path=path,
filename=filename,
content_type=content_type,
add_to_transactions=add_to_transactions,
)
)
def add_event_processor(
self, func # type: EventProcessor
):
# type: (...) -> None
"""Register a scope local event processor on the scope.
:param func: This function behaves like `before_send.`
"""
if len(self._event_processors) > 20:
logger.warning(
"Too many event processors on scope! Clearing list to free up some memory: %r",
self._event_processors,
)
del self._event_processors[:]
self._event_processors.append(func)
def add_error_processor(
self,
func, # type: ErrorProcessor
cls=None, # type: Optional[Type[BaseException]]
):
# type: (...) -> None
"""Register a scope local error processor on the scope.
:param func: A callback that works similar to an event processor but is invoked with the original exception info triple as second argument.
:param cls: Optionally, only process exceptions of this type.
"""
if cls is not None:
cls_ = cls # For mypy.
real_func = func
def func(event, exc_info):
# type: (Event, ExcInfo) -> Optional[Event]
try:
is_inst = isinstance(exc_info[1], cls_)
except Exception:
is_inst = False
if is_inst:
return real_func(event, exc_info)
return event
self._error_processors.append(func)
@_disable_capture
def apply_to_event(
self,
event, # type: Event
hint, # type: Hint
):
# type: (...) -> Optional[Event]
"""Applies the information contained on the scope to the given event."""
def _drop(event, cause, ty):
# type: (Dict[str, Any], Any, str) -> Optional[Any]
logger.info("%s (%s) dropped event (%s)", ty, cause, event)
return None
is_transaction = event.get("type") == "transaction"
# put all attachments into the hint. This lets callbacks play around
# with attachments. We also later pull this out of the hint when we
# create the envelope.
attachments_to_send = hint.get("attachments") or []
for attachment in self._attachments:
if not is_transaction or attachment.add_to_transactions:
attachments_to_send.append(attachment)
hint["attachments"] = attachments_to_send
if self._level is not None:
event["level"] = self._level
if not is_transaction:
event.setdefault("breadcrumbs", {}).setdefault("values", []).extend(
self._breadcrumbs
)
if event.get("user") is None and self._user is not None:
event["user"] = self._user
if event.get("transaction") is None and self._transaction is not None:
event["transaction"] = self._transaction
if event.get("transaction_info") is None and self._transaction_info is not None:
event["transaction_info"] = self._transaction_info
if event.get("fingerprint") is None and self._fingerprint is not None:
event["fingerprint"] = self._fingerprint
if self._extras:
event.setdefault("extra", {}).update(self._extras)
if self._tags:
event.setdefault("tags", {}).update(self._tags)
if self._contexts:
event.setdefault("contexts", {}).update(self._contexts)
if self._span is not None:
contexts = event.setdefault("contexts", {})
if not contexts.get("trace"):
contexts["trace"] = self._span.get_trace_context()
exc_info = hint.get("exc_info")
if exc_info is not None:
for error_processor in self._error_processors:
new_event = error_processor(event, exc_info)
if new_event is None:
return _drop(event, error_processor, "error processor")
event = new_event
for event_processor in chain(global_event_processors, self._event_processors):
new_event = event
with capture_internal_exceptions():
new_event = event_processor(event, hint)
if new_event is None:
return _drop(event, event_processor, "event processor")
event = new_event
return event
def update_from_scope(self, scope):
# type: (Scope) -> None
if scope._level is not None:
self._level = scope._level
if scope._fingerprint is not None:
self._fingerprint = scope._fingerprint
if scope._transaction is not None:
self._transaction = scope._transaction
if scope._transaction_info is not None:
self._transaction_info.update(scope._transaction_info)
if scope._user is not None:
self._user = scope._user
if scope._tags:
self._tags.update(scope._tags)
if scope._contexts:
self._contexts.update(scope._contexts)
if scope._extras:
self._extras.update(scope._extras)
if scope._breadcrumbs:
self._breadcrumbs.extend(scope._breadcrumbs)
if scope._span:
self._span = scope._span
if scope._attachments:
self._attachments.extend(scope._attachments)
if scope._profile:
self._profile = scope._profile
def update_from_kwargs(
self,
user=None, # type: Optional[Any]
level=None, # type: Optional[str]
extras=None, # type: Optional[Dict[str, Any]]
contexts=None, # type: Optional[Dict[str, Any]]
tags=None, # type: Optional[Dict[str, str]]
fingerprint=None, # type: Optional[List[str]]
):
# type: (...) -> None
if level is not None:
self._level = level
if user is not None:
self._user = user
if extras is not None:
self._extras.update(extras)
if contexts is not None:
self._contexts.update(contexts)
if tags is not None:
self._tags.update(tags)
if fingerprint is not None:
self._fingerprint = fingerprint
def __copy__(self):
# type: () -> Scope
rv = object.__new__(self.__class__) # type: Scope
rv._level = self._level
rv._name = self._name
rv._fingerprint = self._fingerprint
rv._transaction = self._transaction
rv._transaction_info = dict(self._transaction_info)
rv._user = self._user
rv._tags = dict(self._tags)
rv._contexts = dict(self._contexts)
rv._extras = dict(self._extras)
rv._breadcrumbs = copy(self._breadcrumbs)
rv._event_processors = list(self._event_processors)
rv._error_processors = list(self._error_processors)
rv._should_capture = self._should_capture
rv._span = self._span
rv._session = self._session
rv._force_auto_session_tracking = self._force_auto_session_tracking
rv._attachments = list(self._attachments)
rv._profile = self._profile
return rv
def __repr__(self):
# type: () -> str
return "<%s id=%s name=%s>" % (
self.__class__.__name__,
hex(id(self)),
self._name,
)
| 17,318 | Python | 31.863378 | 147 | 0.568772 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/__init__.py | from sentry_sdk.hub import Hub, init
from sentry_sdk.scope import Scope
from sentry_sdk.transport import Transport, HttpTransport
from sentry_sdk.client import Client
from sentry_sdk.api import * # noqa
from sentry_sdk.consts import VERSION # noqa
__all__ = [ # noqa
"Hub",
"Scope",
"Client",
"Transport",
"HttpTransport",
"init",
"integrations",
# From sentry_sdk.api
"capture_event",
"capture_message",
"capture_exception",
"add_breadcrumb",
"configure_scope",
"push_scope",
"flush",
"last_event_id",
"start_span",
"start_transaction",
"set_tag",
"set_context",
"set_extra",
"set_user",
"set_level",
]
# Initialize the debug support after everything is loaded
from sentry_sdk.debug import init_debug_support
init_debug_support()
del init_debug_support
| 854 | Python | 19.853658 | 57 | 0.652225 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/utils.py | import base64
import json
import linecache
import logging
import os
import re
import subprocess
import sys
import threading
import time
from datetime import datetime
from functools import partial
try:
from functools import partialmethod
_PARTIALMETHOD_AVAILABLE = True
except ImportError:
_PARTIALMETHOD_AVAILABLE = False
import sentry_sdk
from sentry_sdk._compat import PY2, PY33, PY37, implements_str, text_type, urlparse
from sentry_sdk._types import MYPY
if MYPY:
from types import FrameType, TracebackType
from typing import (
Any,
Callable,
ContextManager,
Dict,
Iterator,
List,
Optional,
Set,
Tuple,
Type,
Union,
)
from sentry_sdk._types import EndpointType, ExcInfo
epoch = datetime(1970, 1, 1)
# The logger is created here but initialized in the debug support module
logger = logging.getLogger("sentry_sdk.errors")
MAX_STRING_LENGTH = 1024
BASE64_ALPHABET = re.compile(r"^[a-zA-Z0-9/+=]*$")
def json_dumps(data):
# type: (Any) -> bytes
"""Serialize data into a compact JSON representation encoded as UTF-8."""
return json.dumps(data, allow_nan=False, separators=(",", ":")).encode("utf-8")
def _get_debug_hub():
# type: () -> Optional[sentry_sdk.Hub]
# This function is replaced by debug.py
pass
def get_default_release():
# type: () -> Optional[str]
"""Try to guess a default release."""
release = os.environ.get("SENTRY_RELEASE")
if release:
return release
with open(os.path.devnull, "w+") as null:
try:
release = (
subprocess.Popen(
["git", "rev-parse", "HEAD"],
stdout=subprocess.PIPE,
stderr=null,
stdin=null,
)
.communicate()[0]
.strip()
.decode("utf-8")
)
except (OSError, IOError):
pass
if release:
return release
for var in (
"HEROKU_SLUG_COMMIT",
"SOURCE_VERSION",
"CODEBUILD_RESOLVED_SOURCE_VERSION",
"CIRCLE_SHA1",
"GAE_DEPLOYMENT_ID",
):
release = os.environ.get(var)
if release:
return release
return None
def get_sdk_name(installed_integrations):
# type: (List[str]) -> str
"""Return the SDK name including the name of the used web framework."""
# Note: I can not use for example sentry_sdk.integrations.django.DjangoIntegration.identifier
# here because if django is not installed the integration is not accessible.
framework_integrations = [
"django",
"flask",
"fastapi",
"bottle",
"falcon",
"quart",
"sanic",
"starlette",
"chalice",
"serverless",
"pyramid",
"tornado",
"aiohttp",
"aws_lambda",
"gcp",
"beam",
"asgi",
"wsgi",
]
for integration in framework_integrations:
if integration in installed_integrations:
return "sentry.python.{}".format(integration)
return "sentry.python"
class CaptureInternalException(object):
__slots__ = ()
def __enter__(self):
# type: () -> ContextManager[Any]
return self
def __exit__(self, ty, value, tb):
# type: (Optional[Type[BaseException]], Optional[BaseException], Optional[TracebackType]) -> bool
if ty is not None and value is not None:
capture_internal_exception((ty, value, tb))
return True
_CAPTURE_INTERNAL_EXCEPTION = CaptureInternalException()
def capture_internal_exceptions():
# type: () -> ContextManager[Any]
return _CAPTURE_INTERNAL_EXCEPTION
def capture_internal_exception(exc_info):
# type: (ExcInfo) -> None
hub = _get_debug_hub()
if hub is not None:
hub._capture_internal_exception(exc_info)
def to_timestamp(value):
# type: (datetime) -> float
return (value - epoch).total_seconds()
def format_timestamp(value):
# type: (datetime) -> str
return value.strftime("%Y-%m-%dT%H:%M:%S.%fZ")
def event_hint_with_exc_info(exc_info=None):
# type: (Optional[ExcInfo]) -> Dict[str, Optional[ExcInfo]]
"""Creates a hint with the exc info filled in."""
if exc_info is None:
exc_info = sys.exc_info()
else:
exc_info = exc_info_from_error(exc_info)
if exc_info[0] is None:
exc_info = None
return {"exc_info": exc_info}
class BadDsn(ValueError):
"""Raised on invalid DSNs."""
@implements_str
class Dsn(object):
"""Represents a DSN."""
def __init__(self, value):
# type: (Union[Dsn, str]) -> None
if isinstance(value, Dsn):
self.__dict__ = dict(value.__dict__)
return
parts = urlparse.urlsplit(text_type(value))
if parts.scheme not in ("http", "https"):
raise BadDsn("Unsupported scheme %r" % parts.scheme)
self.scheme = parts.scheme
if parts.hostname is None:
raise BadDsn("Missing hostname")
self.host = parts.hostname
if parts.port is None:
self.port = self.scheme == "https" and 443 or 80 # type: int
else:
self.port = parts.port
if not parts.username:
raise BadDsn("Missing public key")
self.public_key = parts.username
self.secret_key = parts.password
path = parts.path.rsplit("/", 1)
try:
self.project_id = text_type(int(path.pop()))
except (ValueError, TypeError):
raise BadDsn("Invalid project in DSN (%r)" % (parts.path or "")[1:])
self.path = "/".join(path) + "/"
@property
def netloc(self):
# type: () -> str
"""The netloc part of a DSN."""
rv = self.host
if (self.scheme, self.port) not in (("http", 80), ("https", 443)):
rv = "%s:%s" % (rv, self.port)
return rv
def to_auth(self, client=None):
# type: (Optional[Any]) -> Auth
"""Returns the auth info object for this dsn."""
return Auth(
scheme=self.scheme,
host=self.netloc,
path=self.path,
project_id=self.project_id,
public_key=self.public_key,
secret_key=self.secret_key,
client=client,
)
def __str__(self):
# type: () -> str
return "%s://%s%s@%s%s%s" % (
self.scheme,
self.public_key,
self.secret_key and "@" + self.secret_key or "",
self.netloc,
self.path,
self.project_id,
)
class Auth(object):
"""Helper object that represents the auth info."""
def __init__(
self,
scheme,
host,
project_id,
public_key,
secret_key=None,
version=7,
client=None,
path="/",
):
# type: (str, str, str, str, Optional[str], int, Optional[Any], str) -> None
self.scheme = scheme
self.host = host
self.path = path
self.project_id = project_id
self.public_key = public_key
self.secret_key = secret_key
self.version = version
self.client = client
@property
def store_api_url(self):
# type: () -> str
"""Returns the API url for storing events.
Deprecated: use get_api_url instead.
"""
return self.get_api_url(type="store")
def get_api_url(
self, type="store" # type: EndpointType
):
# type: (...) -> str
"""Returns the API url for storing events."""
return "%s://%s%sapi/%s/%s/" % (
self.scheme,
self.host,
self.path,
self.project_id,
type,
)
def to_header(self):
# type: () -> str
"""Returns the auth header a string."""
rv = [("sentry_key", self.public_key), ("sentry_version", self.version)]
if self.client is not None:
rv.append(("sentry_client", self.client))
if self.secret_key is not None:
rv.append(("sentry_secret", self.secret_key))
return "Sentry " + ", ".join("%s=%s" % (key, value) for key, value in rv)
class AnnotatedValue(object):
"""
Meta information for a data field in the event payload.
This is to tell Relay that we have tampered with the fields value.
See:
https://github.com/getsentry/relay/blob/be12cd49a0f06ea932ed9b9f93a655de5d6ad6d1/relay-general/src/types/meta.rs#L407-L423
"""
__slots__ = ("value", "metadata")
def __init__(self, value, metadata):
# type: (Optional[Any], Dict[str, Any]) -> None
self.value = value
self.metadata = metadata
@classmethod
def removed_because_raw_data(cls):
# type: () -> AnnotatedValue
"""The value was removed because it could not be parsed. This is done for request body values that are not json nor a form."""
return AnnotatedValue(
value="",
metadata={
"rem": [ # Remark
[
"!raw", # Unparsable raw data
"x", # The fields original value was removed
]
]
},
)
@classmethod
def removed_because_over_size_limit(cls):
# type: () -> AnnotatedValue
"""The actual value was removed because the size of the field exceeded the configured maximum size (specified with the request_bodies sdk option)"""
return AnnotatedValue(
value="",
metadata={
"rem": [ # Remark
[
"!config", # Because of configured maximum size
"x", # The fields original value was removed
]
]
},
)
@classmethod
def substituted_because_contains_sensitive_data(cls):
# type: () -> AnnotatedValue
"""The actual value was removed because it contained sensitive information."""
from sentry_sdk.consts import SENSITIVE_DATA_SUBSTITUTE
return AnnotatedValue(
value=SENSITIVE_DATA_SUBSTITUTE,
metadata={
"rem": [ # Remark
[
"!config", # Because of SDK configuration (in this case the config is the hard coded removal of certain django cookies)
"s", # The fields original value was substituted
]
]
},
)
if MYPY:
from typing import TypeVar
T = TypeVar("T")
Annotated = Union[AnnotatedValue, T]
def get_type_name(cls):
# type: (Optional[type]) -> Optional[str]
return getattr(cls, "__qualname__", None) or getattr(cls, "__name__", None)
def get_type_module(cls):
# type: (Optional[type]) -> Optional[str]
mod = getattr(cls, "__module__", None)
if mod not in (None, "builtins", "__builtins__"):
return mod
return None
def should_hide_frame(frame):
# type: (FrameType) -> bool
try:
mod = frame.f_globals["__name__"]
if mod.startswith("sentry_sdk."):
return True
except (AttributeError, KeyError):
pass
for flag_name in "__traceback_hide__", "__tracebackhide__":
try:
if frame.f_locals[flag_name]:
return True
except Exception:
pass
return False
def iter_stacks(tb):
# type: (Optional[TracebackType]) -> Iterator[TracebackType]
tb_ = tb # type: Optional[TracebackType]
while tb_ is not None:
if not should_hide_frame(tb_.tb_frame):
yield tb_
tb_ = tb_.tb_next
def get_lines_from_file(
filename, # type: str
lineno, # type: int
loader=None, # type: Optional[Any]
module=None, # type: Optional[str]
):
# type: (...) -> Tuple[List[Annotated[str]], Optional[Annotated[str]], List[Annotated[str]]]
context_lines = 5
source = None
if loader is not None and hasattr(loader, "get_source"):
try:
source_str = loader.get_source(module) # type: Optional[str]
except (ImportError, IOError):
source_str = None
if source_str is not None:
source = source_str.splitlines()
if source is None:
try:
source = linecache.getlines(filename)
except (OSError, IOError):
return [], None, []
if not source:
return [], None, []
lower_bound = max(0, lineno - context_lines)
upper_bound = min(lineno + 1 + context_lines, len(source))
try:
pre_context = [
strip_string(line.strip("\r\n")) for line in source[lower_bound:lineno]
]
context_line = strip_string(source[lineno].strip("\r\n"))
post_context = [
strip_string(line.strip("\r\n"))
for line in source[(lineno + 1) : upper_bound]
]
return pre_context, context_line, post_context
except IndexError:
# the file may have changed since it was loaded into memory
return [], None, []
def get_source_context(
frame, # type: FrameType
tb_lineno, # type: int
):
# type: (...) -> Tuple[List[Annotated[str]], Optional[Annotated[str]], List[Annotated[str]]]
try:
abs_path = frame.f_code.co_filename # type: Optional[str]
except Exception:
abs_path = None
try:
module = frame.f_globals["__name__"]
except Exception:
return [], None, []
try:
loader = frame.f_globals["__loader__"]
except Exception:
loader = None
lineno = tb_lineno - 1
if lineno is not None and abs_path:
return get_lines_from_file(abs_path, lineno, loader, module)
return [], None, []
def safe_str(value):
# type: (Any) -> str
try:
return text_type(value)
except Exception:
return safe_repr(value)
if PY2:
def safe_repr(value):
# type: (Any) -> str
try:
rv = repr(value).decode("utf-8", "replace")
# At this point `rv` contains a bunch of literal escape codes, like
# this (exaggerated example):
#
# u"\\x2f"
#
# But we want to show this string as:
#
# u"/"
try:
# unicode-escape does this job, but can only decode latin1. So we
# attempt to encode in latin1.
return rv.encode("latin1").decode("unicode-escape")
except Exception:
# Since usually strings aren't latin1 this can break. In those
# cases we just give up.
return rv
except Exception:
# If e.g. the call to `repr` already fails
return "<broken repr>"
else:
def safe_repr(value):
# type: (Any) -> str
try:
return repr(value)
except Exception:
return "<broken repr>"
def filename_for_module(module, abs_path):
# type: (Optional[str], Optional[str]) -> Optional[str]
if not abs_path or not module:
return abs_path
try:
if abs_path.endswith(".pyc"):
abs_path = abs_path[:-1]
base_module = module.split(".", 1)[0]
if base_module == module:
return os.path.basename(abs_path)
base_module_path = sys.modules[base_module].__file__
if not base_module_path:
return abs_path
return abs_path.split(base_module_path.rsplit(os.sep, 2)[0], 1)[-1].lstrip(
os.sep
)
except Exception:
return abs_path
def serialize_frame(frame, tb_lineno=None, with_locals=True):
# type: (FrameType, Optional[int], bool) -> Dict[str, Any]
f_code = getattr(frame, "f_code", None)
if not f_code:
abs_path = None
function = None
else:
abs_path = frame.f_code.co_filename
function = frame.f_code.co_name
try:
module = frame.f_globals["__name__"]
except Exception:
module = None
if tb_lineno is None:
tb_lineno = frame.f_lineno
pre_context, context_line, post_context = get_source_context(frame, tb_lineno)
rv = {
"filename": filename_for_module(module, abs_path) or None,
"abs_path": os.path.abspath(abs_path) if abs_path else None,
"function": function or "<unknown>",
"module": module,
"lineno": tb_lineno,
"pre_context": pre_context,
"context_line": context_line,
"post_context": post_context,
} # type: Dict[str, Any]
if with_locals:
rv["vars"] = frame.f_locals
return rv
def current_stacktrace(with_locals=True):
# type: (bool) -> Any
__tracebackhide__ = True
frames = []
f = sys._getframe() # type: Optional[FrameType]
while f is not None:
if not should_hide_frame(f):
frames.append(serialize_frame(f, with_locals=with_locals))
f = f.f_back
frames.reverse()
return {"frames": frames}
def get_errno(exc_value):
# type: (BaseException) -> Optional[Any]
return getattr(exc_value, "errno", None)
def single_exception_from_error_tuple(
exc_type, # type: Optional[type]
exc_value, # type: Optional[BaseException]
tb, # type: Optional[TracebackType]
client_options=None, # type: Optional[Dict[str, Any]]
mechanism=None, # type: Optional[Dict[str, Any]]
):
# type: (...) -> Dict[str, Any]
if exc_value is not None:
errno = get_errno(exc_value)
else:
errno = None
if errno is not None:
mechanism = mechanism or {"type": "generic"}
mechanism.setdefault("meta", {}).setdefault("errno", {}).setdefault(
"number", errno
)
if client_options is None:
with_locals = True
else:
with_locals = client_options["with_locals"]
frames = [
serialize_frame(tb.tb_frame, tb_lineno=tb.tb_lineno, with_locals=with_locals)
for tb in iter_stacks(tb)
]
rv = {
"module": get_type_module(exc_type),
"type": get_type_name(exc_type),
"value": safe_str(exc_value),
"mechanism": mechanism,
}
if frames:
rv["stacktrace"] = {"frames": frames}
return rv
HAS_CHAINED_EXCEPTIONS = hasattr(Exception, "__suppress_context__")
if HAS_CHAINED_EXCEPTIONS:
def walk_exception_chain(exc_info):
# type: (ExcInfo) -> Iterator[ExcInfo]
exc_type, exc_value, tb = exc_info
seen_exceptions = []
seen_exception_ids = set() # type: Set[int]
while (
exc_type is not None
and exc_value is not None
and id(exc_value) not in seen_exception_ids
):
yield exc_type, exc_value, tb
# Avoid hashing random types we don't know anything
# about. Use the list to keep a ref so that the `id` is
# not used for another object.
seen_exceptions.append(exc_value)
seen_exception_ids.add(id(exc_value))
if exc_value.__suppress_context__:
cause = exc_value.__cause__
else:
cause = exc_value.__context__
if cause is None:
break
exc_type = type(cause)
exc_value = cause
tb = getattr(cause, "__traceback__", None)
else:
def walk_exception_chain(exc_info):
# type: (ExcInfo) -> Iterator[ExcInfo]
yield exc_info
def exceptions_from_error_tuple(
exc_info, # type: ExcInfo
client_options=None, # type: Optional[Dict[str, Any]]
mechanism=None, # type: Optional[Dict[str, Any]]
):
# type: (...) -> List[Dict[str, Any]]
exc_type, exc_value, tb = exc_info
rv = []
for exc_type, exc_value, tb in walk_exception_chain(exc_info):
rv.append(
single_exception_from_error_tuple(
exc_type, exc_value, tb, client_options, mechanism
)
)
rv.reverse()
return rv
def to_string(value):
# type: (str) -> str
try:
return text_type(value)
except UnicodeDecodeError:
return repr(value)[1:-1]
def iter_event_stacktraces(event):
# type: (Dict[str, Any]) -> Iterator[Dict[str, Any]]
if "stacktrace" in event:
yield event["stacktrace"]
if "threads" in event:
for thread in event["threads"].get("values") or ():
if "stacktrace" in thread:
yield thread["stacktrace"]
if "exception" in event:
for exception in event["exception"].get("values") or ():
if "stacktrace" in exception:
yield exception["stacktrace"]
def iter_event_frames(event):
# type: (Dict[str, Any]) -> Iterator[Dict[str, Any]]
for stacktrace in iter_event_stacktraces(event):
for frame in stacktrace.get("frames") or ():
yield frame
def handle_in_app(event, in_app_exclude=None, in_app_include=None):
# type: (Dict[str, Any], Optional[List[str]], Optional[List[str]]) -> Dict[str, Any]
for stacktrace in iter_event_stacktraces(event):
handle_in_app_impl(
stacktrace.get("frames"),
in_app_exclude=in_app_exclude,
in_app_include=in_app_include,
)
return event
def handle_in_app_impl(frames, in_app_exclude, in_app_include):
# type: (Any, Optional[List[str]], Optional[List[str]]) -> Optional[Any]
if not frames:
return None
any_in_app = False
for frame in frames:
in_app = frame.get("in_app")
if in_app is not None:
if in_app:
any_in_app = True
continue
module = frame.get("module")
if not module:
continue
elif _module_in_set(module, in_app_include):
frame["in_app"] = True
any_in_app = True
elif _module_in_set(module, in_app_exclude):
frame["in_app"] = False
if not any_in_app:
for frame in frames:
if frame.get("in_app") is None:
frame["in_app"] = True
return frames
def exc_info_from_error(error):
# type: (Union[BaseException, ExcInfo]) -> ExcInfo
if isinstance(error, tuple) and len(error) == 3:
exc_type, exc_value, tb = error
elif isinstance(error, BaseException):
tb = getattr(error, "__traceback__", None)
if tb is not None:
exc_type = type(error)
exc_value = error
else:
exc_type, exc_value, tb = sys.exc_info()
if exc_value is not error:
tb = None
exc_value = error
exc_type = type(error)
else:
raise ValueError("Expected Exception object to report, got %s!" % type(error))
return exc_type, exc_value, tb
def event_from_exception(
exc_info, # type: Union[BaseException, ExcInfo]
client_options=None, # type: Optional[Dict[str, Any]]
mechanism=None, # type: Optional[Dict[str, Any]]
):
# type: (...) -> Tuple[Dict[str, Any], Dict[str, Any]]
exc_info = exc_info_from_error(exc_info)
hint = event_hint_with_exc_info(exc_info)
return (
{
"level": "error",
"exception": {
"values": exceptions_from_error_tuple(
exc_info, client_options, mechanism
)
},
},
hint,
)
def _module_in_set(name, set):
# type: (str, Optional[List[str]]) -> bool
if not set:
return False
for item in set or ():
if item == name or name.startswith(item + "."):
return True
return False
def strip_string(value, max_length=None):
# type: (str, Optional[int]) -> Union[AnnotatedValue, str]
# TODO: read max_length from config
if not value:
return value
if max_length is None:
# This is intentionally not just the default such that one can patch `MAX_STRING_LENGTH` and affect `strip_string`.
max_length = MAX_STRING_LENGTH
length = len(value.encode("utf-8"))
if length > max_length:
return AnnotatedValue(
value=value[: max_length - 3] + "...",
metadata={
"len": length,
"rem": [["!limit", "x", max_length - 3, max_length]],
},
)
return value
def _is_contextvars_broken():
# type: () -> bool
"""
Returns whether gevent/eventlet have patched the stdlib in a way where thread locals are now more "correct" than contextvars.
"""
try:
import gevent # type: ignore
from gevent.monkey import is_object_patched # type: ignore
# Get the MAJOR and MINOR version numbers of Gevent
version_tuple = tuple(
[int(part) for part in re.split(r"a|b|rc|\.", gevent.__version__)[:2]]
)
if is_object_patched("threading", "local"):
# Gevent 20.9.0 depends on Greenlet 0.4.17 which natively handles switching
# context vars when greenlets are switched, so, Gevent 20.9.0+ is all fine.
# Ref: https://github.com/gevent/gevent/blob/83c9e2ae5b0834b8f84233760aabe82c3ba065b4/src/gevent/monkey.py#L604-L609
# Gevent 20.5, that doesn't depend on Greenlet 0.4.17 with native support
# for contextvars, is able to patch both thread locals and contextvars, in
# that case, check if contextvars are effectively patched.
if (
# Gevent 20.9.0+
(sys.version_info >= (3, 7) and version_tuple >= (20, 9))
# Gevent 20.5.0+ or Python < 3.7
or (is_object_patched("contextvars", "ContextVar"))
):
return False
return True
except ImportError:
pass
try:
from eventlet.patcher import is_monkey_patched # type: ignore
if is_monkey_patched("thread"):
return True
except ImportError:
pass
return False
def _make_threadlocal_contextvars(local):
# type: (type) -> type
class ContextVar(object):
# Super-limited impl of ContextVar
def __init__(self, name):
# type: (str) -> None
self._name = name
self._local = local()
def get(self, default):
# type: (Any) -> Any
return getattr(self._local, "value", default)
def set(self, value):
# type: (Any) -> None
self._local.value = value
return ContextVar
def _get_contextvars():
# type: () -> Tuple[bool, type]
"""
Figure out the "right" contextvars installation to use. Returns a
`contextvars.ContextVar`-like class with a limited API.
See https://docs.sentry.io/platforms/python/contextvars/ for more information.
"""
if not _is_contextvars_broken():
# aiocontextvars is a PyPI package that ensures that the contextvars
# backport (also a PyPI package) works with asyncio under Python 3.6
#
# Import it if available.
if sys.version_info < (3, 7):
# `aiocontextvars` is absolutely required for functional
# contextvars on Python 3.6.
try:
from aiocontextvars import ContextVar
return True, ContextVar
except ImportError:
pass
else:
# On Python 3.7 contextvars are functional.
try:
from contextvars import ContextVar
return True, ContextVar
except ImportError:
pass
# Fall back to basic thread-local usage.
from threading import local
return False, _make_threadlocal_contextvars(local)
HAS_REAL_CONTEXTVARS, ContextVar = _get_contextvars()
CONTEXTVARS_ERROR_MESSAGE = """
With asyncio/ASGI applications, the Sentry SDK requires a functional
installation of `contextvars` to avoid leaking scope/context data across
requests.
Please refer to https://docs.sentry.io/platforms/python/contextvars/ for more information.
"""
def qualname_from_function(func):
# type: (Callable[..., Any]) -> Optional[str]
"""Return the qualified name of func. Works with regular function, lambda, partial and partialmethod."""
func_qualname = None # type: Optional[str]
# Python 2
try:
return "%s.%s.%s" % (
func.im_class.__module__, # type: ignore
func.im_class.__name__, # type: ignore
func.__name__,
)
except Exception:
pass
prefix, suffix = "", ""
if (
_PARTIALMETHOD_AVAILABLE
and hasattr(func, "_partialmethod")
and isinstance(func._partialmethod, partialmethod) # type: ignore
):
prefix, suffix = "partialmethod(<function ", ">)"
func = func._partialmethod.func # type: ignore
elif isinstance(func, partial) and hasattr(func.func, "__name__"):
prefix, suffix = "partial(<function ", ">)"
func = func.func
if hasattr(func, "__qualname__"):
func_qualname = func.__qualname__
elif hasattr(func, "__name__"): # Python 2.7 has no __qualname__
func_qualname = func.__name__
# Python 3: methods, functions, classes
if func_qualname is not None:
if hasattr(func, "__module__"):
func_qualname = func.__module__ + "." + func_qualname
func_qualname = prefix + func_qualname + suffix
return func_qualname
def transaction_from_function(func):
# type: (Callable[..., Any]) -> Optional[str]
return qualname_from_function(func)
disable_capture_event = ContextVar("disable_capture_event")
class ServerlessTimeoutWarning(Exception): # noqa: N818
"""Raised when a serverless method is about to reach its timeout."""
pass
class TimeoutThread(threading.Thread):
"""Creates a Thread which runs (sleeps) for a time duration equal to
waiting_time and raises a custom ServerlessTimeout exception.
"""
def __init__(self, waiting_time, configured_timeout):
# type: (float, int) -> None
threading.Thread.__init__(self)
self.waiting_time = waiting_time
self.configured_timeout = configured_timeout
self._stop_event = threading.Event()
def stop(self):
# type: () -> None
self._stop_event.set()
def run(self):
# type: () -> None
self._stop_event.wait(self.waiting_time)
if self._stop_event.is_set():
return
integer_configured_timeout = int(self.configured_timeout)
# Setting up the exact integer value of configured time(in seconds)
if integer_configured_timeout < self.configured_timeout:
integer_configured_timeout = integer_configured_timeout + 1
# Raising Exception after timeout duration is reached
raise ServerlessTimeoutWarning(
"WARNING : Function is expected to get timed out. Configured timeout duration = {} seconds.".format(
integer_configured_timeout
)
)
def to_base64(original):
# type: (str) -> Optional[str]
"""
Convert a string to base64, via UTF-8. Returns None on invalid input.
"""
base64_string = None
try:
utf8_bytes = original.encode("UTF-8")
base64_bytes = base64.b64encode(utf8_bytes)
base64_string = base64_bytes.decode("UTF-8")
except Exception as err:
logger.warning("Unable to encode {orig} to base64:".format(orig=original), err)
return base64_string
def from_base64(base64_string):
# type: (str) -> Optional[str]
"""
Convert a string from base64, via UTF-8. Returns None on invalid input.
"""
utf8_string = None
try:
only_valid_chars = BASE64_ALPHABET.match(base64_string)
assert only_valid_chars
base64_bytes = base64_string.encode("UTF-8")
utf8_bytes = base64.b64decode(base64_bytes)
utf8_string = utf8_bytes.decode("UTF-8")
except Exception as err:
logger.warning(
"Unable to decode {b64} from base64:".format(b64=base64_string), err
)
return utf8_string
if PY37:
def nanosecond_time():
# type: () -> int
return time.perf_counter_ns()
elif PY33:
def nanosecond_time():
# type: () -> int
return int(time.perf_counter() * 1e9)
else:
def nanosecond_time():
# type: () -> int
raise AttributeError
| 32,694 | Python | 27.479965 | 156 | 0.566159 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/consts.py | from sentry_sdk._types import MYPY
if MYPY:
import sentry_sdk
from typing import Optional
from typing import Callable
from typing import Union
from typing import List
from typing import Type
from typing import Dict
from typing import Any
from typing import Sequence
from typing_extensions import TypedDict
from sentry_sdk.integrations import Integration
from sentry_sdk._types import (
BreadcrumbProcessor,
Event,
EventProcessor,
TracesSampler,
TransactionProcessor,
)
# Experiments are feature flags to enable and disable certain unstable SDK
# functionality. Changing them from the defaults (`None`) in production
# code is highly discouraged. They are not subject to any stability
# guarantees such as the ones from semantic versioning.
Experiments = TypedDict(
"Experiments",
{
"max_spans": Optional[int],
"record_sql_params": Optional[bool],
"smart_transaction_trimming": Optional[bool],
"propagate_tracestate": Optional[bool],
"custom_measurements": Optional[bool],
"profiles_sample_rate": Optional[float],
"profiler_mode": Optional[str],
},
total=False,
)
DEFAULT_QUEUE_SIZE = 100
DEFAULT_MAX_BREADCRUMBS = 100
SENSITIVE_DATA_SUBSTITUTE = "[Filtered]"
class INSTRUMENTER:
SENTRY = "sentry"
OTEL = "otel"
class OP:
DB = "db"
DB_REDIS = "db.redis"
EVENT_DJANGO = "event.django"
FUNCTION = "function"
FUNCTION_AWS = "function.aws"
FUNCTION_GCP = "function.gcp"
HTTP_CLIENT = "http.client"
HTTP_CLIENT_STREAM = "http.client.stream"
HTTP_SERVER = "http.server"
MIDDLEWARE_DJANGO = "middleware.django"
MIDDLEWARE_STARLETTE = "middleware.starlette"
MIDDLEWARE_STARLETTE_RECEIVE = "middleware.starlette.receive"
MIDDLEWARE_STARLETTE_SEND = "middleware.starlette.send"
MIDDLEWARE_STARLITE = "middleware.starlite"
MIDDLEWARE_STARLITE_RECEIVE = "middleware.starlite.receive"
MIDDLEWARE_STARLITE_SEND = "middleware.starlite.send"
QUEUE_SUBMIT_CELERY = "queue.submit.celery"
QUEUE_TASK_CELERY = "queue.task.celery"
QUEUE_TASK_RQ = "queue.task.rq"
SUBPROCESS = "subprocess"
SUBPROCESS_WAIT = "subprocess.wait"
SUBPROCESS_COMMUNICATE = "subprocess.communicate"
TEMPLATE_RENDER = "template.render"
VIEW_RENDER = "view.render"
VIEW_RESPONSE_RENDER = "view.response.render"
WEBSOCKET_SERVER = "websocket.server"
# This type exists to trick mypy and PyCharm into thinking `init` and `Client`
# take these arguments (even though they take opaque **kwargs)
class ClientConstructor(object):
def __init__(
self,
dsn=None, # type: Optional[str]
with_locals=True, # type: bool
max_breadcrumbs=DEFAULT_MAX_BREADCRUMBS, # type: int
release=None, # type: Optional[str]
environment=None, # type: Optional[str]
server_name=None, # type: Optional[str]
shutdown_timeout=2, # type: float
integrations=[], # type: Sequence[Integration] # noqa: B006
in_app_include=[], # type: List[str] # noqa: B006
in_app_exclude=[], # type: List[str] # noqa: B006
default_integrations=True, # type: bool
dist=None, # type: Optional[str]
transport=None, # type: Optional[Union[sentry_sdk.transport.Transport, Type[sentry_sdk.transport.Transport], Callable[[Event], None]]]
transport_queue_size=DEFAULT_QUEUE_SIZE, # type: int
sample_rate=1.0, # type: float
send_default_pii=False, # type: bool
http_proxy=None, # type: Optional[str]
https_proxy=None, # type: Optional[str]
ignore_errors=[], # type: List[Union[type, str]] # noqa: B006
request_bodies="medium", # type: str
before_send=None, # type: Optional[EventProcessor]
before_breadcrumb=None, # type: Optional[BreadcrumbProcessor]
debug=False, # type: bool
attach_stacktrace=False, # type: bool
ca_certs=None, # type: Optional[str]
propagate_traces=True, # type: bool
traces_sample_rate=None, # type: Optional[float]
traces_sampler=None, # type: Optional[TracesSampler]
auto_enabling_integrations=True, # type: bool
auto_session_tracking=True, # type: bool
send_client_reports=True, # type: bool
_experiments={}, # type: Experiments # noqa: B006
proxy_headers=None, # type: Optional[Dict[str, str]]
instrumenter=INSTRUMENTER.SENTRY, # type: Optional[str]
before_send_transaction=None, # type: Optional[TransactionProcessor]
):
# type: (...) -> None
pass
def _get_default_options():
# type: () -> Dict[str, Any]
import inspect
if hasattr(inspect, "getfullargspec"):
getargspec = inspect.getfullargspec
else:
getargspec = inspect.getargspec # type: ignore
a = getargspec(ClientConstructor.__init__)
defaults = a.defaults or ()
return dict(zip(a.args[-len(defaults) :], defaults))
DEFAULT_OPTIONS = _get_default_options()
del _get_default_options
VERSION = "1.14.0"
| 5,236 | Python | 34.385135 | 143 | 0.648587 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/attachments.py | import os
import mimetypes
from sentry_sdk._types import MYPY
from sentry_sdk.envelope import Item, PayloadRef
if MYPY:
from typing import Optional, Union, Callable
class Attachment(object):
def __init__(
self,
bytes=None, # type: Union[None, bytes, Callable[[], bytes]]
filename=None, # type: Optional[str]
path=None, # type: Optional[str]
content_type=None, # type: Optional[str]
add_to_transactions=False, # type: bool
):
# type: (...) -> None
if bytes is None and path is None:
raise TypeError("path or raw bytes required for attachment")
if filename is None and path is not None:
filename = os.path.basename(path)
if filename is None:
raise TypeError("filename is required for attachment")
if content_type is None:
content_type = mimetypes.guess_type(filename)[0]
self.bytes = bytes
self.filename = filename
self.path = path
self.content_type = content_type
self.add_to_transactions = add_to_transactions
def to_envelope_item(self):
# type: () -> Item
"""Returns an envelope item for this attachment."""
payload = None # type: Union[None, PayloadRef, bytes]
if self.bytes is not None:
if callable(self.bytes):
payload = self.bytes()
else:
payload = self.bytes
else:
payload = PayloadRef(path=self.path)
return Item(
payload=payload,
type="attachment",
content_type=self.content_type,
filename=self.filename,
)
def __repr__(self):
# type: () -> str
return "<Attachment %r>" % (self.filename,)
| 1,793 | Python | 31.035714 | 72 | 0.575014 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/tracing_utils.py | import re
import contextlib
import json
import math
from numbers import Real
from decimal import Decimal
import sentry_sdk
from sentry_sdk.consts import OP
from sentry_sdk.utils import (
capture_internal_exceptions,
Dsn,
logger,
safe_str,
to_base64,
to_string,
from_base64,
)
from sentry_sdk._compat import PY2, iteritems
from sentry_sdk._types import MYPY
if PY2:
from collections import Mapping
from urllib import quote, unquote
else:
from collections.abc import Mapping
from urllib.parse import quote, unquote
if MYPY:
import typing
from typing import Generator
from typing import Optional
from typing import Any
from typing import Dict
from typing import Union
SENTRY_TRACE_REGEX = re.compile(
"^[ \t]*" # whitespace
"([0-9a-f]{32})?" # trace_id
"-?([0-9a-f]{16})?" # span_id
"-?([01])?" # sampled
"[ \t]*$" # whitespace
)
# This is a normal base64 regex, modified to reflect that fact that we strip the
# trailing = or == off
base64_stripped = (
# any of the characters in the base64 "alphabet", in multiples of 4
"([a-zA-Z0-9+/]{4})*"
# either nothing or 2 or 3 base64-alphabet characters (see
# https://en.wikipedia.org/wiki/Base64#Decoding_Base64_without_padding for
# why there's never only 1 extra character)
"([a-zA-Z0-9+/]{2,3})?"
)
# comma-delimited list of entries of the form `xxx=yyy`
tracestate_entry = "[^=]+=[^=]+"
TRACESTATE_ENTRIES_REGEX = re.compile(
# one or more xxxxx=yyyy entries
"^({te})+"
# each entry except the last must be followed by a comma
"(,|$)".format(te=tracestate_entry)
)
# this doesn't check that the value is valid, just that there's something there
# of the form `sentry=xxxx`
SENTRY_TRACESTATE_ENTRY_REGEX = re.compile(
# either sentry is the first entry or there's stuff immediately before it,
# ending in a comma (this prevents matching something like `coolsentry=xxx`)
"(?:^|.+,)"
# sentry's part, not including the potential comma
"(sentry=[^,]*)"
# either there's a comma and another vendor's entry or we end
"(?:,.+|$)"
)
class EnvironHeaders(Mapping): # type: ignore
def __init__(
self,
environ, # type: typing.Mapping[str, str]
prefix="HTTP_", # type: str
):
# type: (...) -> None
self.environ = environ
self.prefix = prefix
def __getitem__(self, key):
# type: (str) -> Optional[Any]
return self.environ[self.prefix + key.replace("-", "_").upper()]
def __len__(self):
# type: () -> int
return sum(1 for _ in iter(self))
def __iter__(self):
# type: () -> Generator[str, None, None]
for k in self.environ:
if not isinstance(k, str):
continue
k = k.replace("-", "_").upper()
if not k.startswith(self.prefix):
continue
yield k[len(self.prefix) :]
def has_tracing_enabled(options):
# type: (Dict[str, Any]) -> bool
"""
Returns True if either traces_sample_rate or traces_sampler is
defined, False otherwise.
"""
return bool(
options.get("traces_sample_rate") is not None
or options.get("traces_sampler") is not None
)
def is_valid_sample_rate(rate):
# type: (Any) -> bool
"""
Checks the given sample rate to make sure it is valid type and value (a
boolean or a number between 0 and 1, inclusive).
"""
# both booleans and NaN are instances of Real, so a) checking for Real
# checks for the possibility of a boolean also, and b) we have to check
# separately for NaN and Decimal does not derive from Real so need to check that too
if not isinstance(rate, (Real, Decimal)) or math.isnan(rate):
logger.warning(
"[Tracing] Given sample rate is invalid. Sample rate must be a boolean or a number between 0 and 1. Got {rate} of type {type}.".format(
rate=rate, type=type(rate)
)
)
return False
# in case rate is a boolean, it will get cast to 1 if it's True and 0 if it's False
rate = float(rate)
if rate < 0 or rate > 1:
logger.warning(
"[Tracing] Given sample rate is invalid. Sample rate must be between 0 and 1. Got {rate}.".format(
rate=rate
)
)
return False
return True
@contextlib.contextmanager
def record_sql_queries(
hub, # type: sentry_sdk.Hub
cursor, # type: Any
query, # type: Any
params_list, # type: Any
paramstyle, # type: Optional[str]
executemany, # type: bool
):
# type: (...) -> Generator[Span, None, None]
# TODO: Bring back capturing of params by default
if hub.client and hub.client.options["_experiments"].get(
"record_sql_params", False
):
if not params_list or params_list == [None]:
params_list = None
if paramstyle == "pyformat":
paramstyle = "format"
else:
params_list = None
paramstyle = None
query = _format_sql(cursor, query)
data = {}
if params_list is not None:
data["db.params"] = params_list
if paramstyle is not None:
data["db.paramstyle"] = paramstyle
if executemany:
data["db.executemany"] = True
with capture_internal_exceptions():
hub.add_breadcrumb(message=query, category="query", data=data)
with hub.start_span(op=OP.DB, description=query) as span:
for k, v in data.items():
span.set_data(k, v)
yield span
def maybe_create_breadcrumbs_from_span(hub, span):
# type: (sentry_sdk.Hub, Span) -> None
if span.op == OP.DB_REDIS:
hub.add_breadcrumb(
message=span.description, type="redis", category="redis", data=span._tags
)
elif span.op == OP.HTTP_CLIENT:
hub.add_breadcrumb(type="http", category="httplib", data=span._data)
elif span.op == "subprocess":
hub.add_breadcrumb(
type="subprocess",
category="subprocess",
message=span.description,
data=span._data,
)
def extract_sentrytrace_data(header):
# type: (Optional[str]) -> Optional[typing.Mapping[str, Union[str, bool, None]]]
"""
Given a `sentry-trace` header string, return a dictionary of data.
"""
if not header:
return None
if header.startswith("00-") and header.endswith("-00"):
header = header[3:-3]
match = SENTRY_TRACE_REGEX.match(header)
if not match:
return None
trace_id, parent_span_id, sampled_str = match.groups()
parent_sampled = None
if trace_id:
trace_id = "{:032x}".format(int(trace_id, 16))
if parent_span_id:
parent_span_id = "{:016x}".format(int(parent_span_id, 16))
if sampled_str:
parent_sampled = sampled_str != "0"
return {
"trace_id": trace_id,
"parent_span_id": parent_span_id,
"parent_sampled": parent_sampled,
}
def extract_tracestate_data(header):
# type: (Optional[str]) -> typing.Mapping[str, Optional[str]]
"""
Extracts the sentry tracestate value and any third-party data from the given
tracestate header, returning a dictionary of data.
"""
sentry_entry = third_party_entry = None
before = after = ""
if header:
# find sentry's entry, if any
sentry_match = SENTRY_TRACESTATE_ENTRY_REGEX.search(header)
if sentry_match:
sentry_entry = sentry_match.group(1)
# remove the commas after the split so we don't end up with
# `xxx=yyy,,zzz=qqq` (double commas) when we put them back together
before, after = map(lambda s: s.strip(","), header.split(sentry_entry))
# extract sentry's value from its entry and test to make sure it's
# valid; if it isn't, discard the entire entry so that a new one
# will be created
sentry_value = sentry_entry.replace("sentry=", "")
if not re.search("^{b64}$".format(b64=base64_stripped), sentry_value):
sentry_entry = None
else:
after = header
# if either part is invalid or empty, remove it before gluing them together
third_party_entry = (
",".join(filter(TRACESTATE_ENTRIES_REGEX.search, [before, after])) or None
)
return {
"sentry_tracestate": sentry_entry,
"third_party_tracestate": third_party_entry,
}
def compute_tracestate_value(data):
# type: (typing.Mapping[str, str]) -> str
"""
Computes a new tracestate value using the given data.
Note: Returns just the base64-encoded data, NOT the full `sentry=...`
tracestate entry.
"""
tracestate_json = json.dumps(data, default=safe_str)
# Base64-encoded strings always come out with a length which is a multiple
# of 4. In order to achieve this, the end is padded with one or more `=`
# signs. Because the tracestate standard calls for using `=` signs between
# vendor name and value (`sentry=xxx,dogsaregreat=yyy`), to avoid confusion
# we strip the `=`
return (to_base64(tracestate_json) or "").rstrip("=")
def compute_tracestate_entry(span):
# type: (Span) -> Optional[str]
"""
Computes a new sentry tracestate for the span. Includes the `sentry=`.
Will return `None` if there's no client and/or no DSN.
"""
data = {}
hub = span.hub or sentry_sdk.Hub.current
client = hub.client
scope = hub.scope
if client and client.options.get("dsn"):
options = client.options
user = scope._user
data = {
"trace_id": span.trace_id,
"environment": options["environment"],
"release": options.get("release"),
"public_key": Dsn(options["dsn"]).public_key,
}
if user and (user.get("id") or user.get("segment")):
user_data = {}
if user.get("id"):
user_data["id"] = user["id"]
if user.get("segment"):
user_data["segment"] = user["segment"]
data["user"] = user_data
if span.containing_transaction:
data["transaction"] = span.containing_transaction.name
return "sentry=" + compute_tracestate_value(data)
return None
def reinflate_tracestate(encoded_tracestate):
# type: (str) -> typing.Optional[Mapping[str, str]]
"""
Given a sentry tracestate value in its encoded form, translate it back into
a dictionary of data.
"""
inflated_tracestate = None
if encoded_tracestate:
# Base64-encoded strings always come out with a length which is a
# multiple of 4. In order to achieve this, the end is padded with one or
# more `=` signs. Because the tracestate standard calls for using `=`
# signs between vendor name and value (`sentry=xxx,dogsaregreat=yyy`),
# to avoid confusion we strip the `=` when the data is initially
# encoded. Python's decoding function requires they be put back.
# Fortunately, it doesn't complain if there are too many, so we just
# attach two `=` on spec (there will never be more than 2, see
# https://en.wikipedia.org/wiki/Base64#Decoding_Base64_without_padding).
tracestate_json = from_base64(encoded_tracestate + "==")
try:
assert tracestate_json is not None
inflated_tracestate = json.loads(tracestate_json)
except Exception as err:
logger.warning(
(
"Unable to attach tracestate data to envelope header: {err}"
+ "\nTracestate value is {encoded_tracestate}"
).format(err=err, encoded_tracestate=encoded_tracestate),
)
return inflated_tracestate
def _format_sql(cursor, sql):
# type: (Any, str) -> Optional[str]
real_sql = None
# If we're using psycopg2, it could be that we're
# looking at a query that uses Composed objects. Use psycopg2's mogrify
# function to format the query. We lose per-parameter trimming but gain
# accuracy in formatting.
try:
if hasattr(cursor, "mogrify"):
real_sql = cursor.mogrify(sql)
if isinstance(real_sql, bytes):
real_sql = real_sql.decode(cursor.connection.encoding)
except Exception:
real_sql = None
return real_sql or to_string(sql)
def has_tracestate_enabled(span=None):
# type: (Optional[Span]) -> bool
client = ((span and span.hub) or sentry_sdk.Hub.current).client
options = client and client.options
return bool(options and options["_experiments"].get("propagate_tracestate"))
def has_custom_measurements_enabled():
# type: () -> bool
client = sentry_sdk.Hub.current.client
options = client and client.options
return bool(options and options["_experiments"].get("custom_measurements"))
class Baggage(object):
__slots__ = ("sentry_items", "third_party_items", "mutable")
SENTRY_PREFIX = "sentry-"
SENTRY_PREFIX_REGEX = re.compile("^sentry-")
# DynamicSamplingContext
DSC_KEYS = [
"trace_id",
"public_key",
"sample_rate",
"release",
"environment",
"transaction",
"user_id",
"user_segment",
]
def __init__(
self,
sentry_items, # type: Dict[str, str]
third_party_items="", # type: str
mutable=True, # type: bool
):
self.sentry_items = sentry_items
self.third_party_items = third_party_items
self.mutable = mutable
@classmethod
def from_incoming_header(cls, header):
# type: (Optional[str]) -> Baggage
"""
freeze if incoming header already has sentry baggage
"""
sentry_items = {}
third_party_items = ""
mutable = True
if header:
for item in header.split(","):
if "=" not in item:
continue
with capture_internal_exceptions():
item = item.strip()
key, val = item.split("=")
if Baggage.SENTRY_PREFIX_REGEX.match(key):
baggage_key = unquote(key.split("-")[1])
sentry_items[baggage_key] = unquote(val)
mutable = False
else:
third_party_items += ("," if third_party_items else "") + item
return Baggage(sentry_items, third_party_items, mutable)
@classmethod
def populate_from_transaction(cls, transaction):
# type: (Transaction) -> Baggage
"""
Populate fresh baggage entry with sentry_items and make it immutable
if this is the head SDK which originates traces.
"""
hub = transaction.hub or sentry_sdk.Hub.current
client = hub.client
sentry_items = {} # type: Dict[str, str]
if not client:
return Baggage(sentry_items)
options = client.options or {}
user = (hub.scope and hub.scope._user) or {}
sentry_items["trace_id"] = transaction.trace_id
if options.get("environment"):
sentry_items["environment"] = options["environment"]
if options.get("release"):
sentry_items["release"] = options["release"]
if options.get("dsn"):
sentry_items["public_key"] = Dsn(options["dsn"]).public_key
if (
transaction.name
and transaction.source not in LOW_QUALITY_TRANSACTION_SOURCES
):
sentry_items["transaction"] = transaction.name
if user.get("segment"):
sentry_items["user_segment"] = user["segment"]
if transaction.sample_rate is not None:
sentry_items["sample_rate"] = str(transaction.sample_rate)
# there's an existing baggage but it was mutable,
# which is why we are creating this new baggage.
# However, if by chance the user put some sentry items in there, give them precedence.
if transaction._baggage and transaction._baggage.sentry_items:
sentry_items.update(transaction._baggage.sentry_items)
return Baggage(sentry_items, mutable=False)
def freeze(self):
# type: () -> None
self.mutable = False
def dynamic_sampling_context(self):
# type: () -> Dict[str, str]
header = {}
for key in Baggage.DSC_KEYS:
item = self.sentry_items.get(key)
if item:
header[key] = item
return header
def serialize(self, include_third_party=False):
# type: (bool) -> str
items = []
for key, val in iteritems(self.sentry_items):
with capture_internal_exceptions():
item = Baggage.SENTRY_PREFIX + quote(key) + "=" + quote(str(val))
items.append(item)
if include_third_party:
items.append(self.third_party_items)
return ",".join(items)
# Circular imports
from sentry_sdk.tracing import LOW_QUALITY_TRANSACTION_SOURCES
if MYPY:
from sentry_sdk.tracing import Span, Transaction
| 17,303 | Python | 29.9 | 147 | 0.597006 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/api.py | import inspect
from sentry_sdk.hub import Hub
from sentry_sdk.scope import Scope
from sentry_sdk._types import MYPY
from sentry_sdk.tracing import NoOpSpan
if MYPY:
from typing import Any
from typing import Dict
from typing import Optional
from typing import overload
from typing import Callable
from typing import TypeVar
from typing import ContextManager
from typing import Union
from sentry_sdk._types import Event, Hint, Breadcrumb, BreadcrumbHint, ExcInfo
from sentry_sdk.tracing import Span, Transaction
T = TypeVar("T")
F = TypeVar("F", bound=Callable[..., Any])
else:
def overload(x):
# type: (T) -> T
return x
# When changing this, update __all__ in __init__.py too
__all__ = [
"capture_event",
"capture_message",
"capture_exception",
"add_breadcrumb",
"configure_scope",
"push_scope",
"flush",
"last_event_id",
"start_span",
"start_transaction",
"set_tag",
"set_context",
"set_extra",
"set_user",
"set_level",
]
def hubmethod(f):
# type: (F) -> F
f.__doc__ = "%s\n\n%s" % (
"Alias for :py:meth:`sentry_sdk.Hub.%s`" % f.__name__,
inspect.getdoc(getattr(Hub, f.__name__)),
)
return f
def scopemethod(f):
# type: (F) -> F
f.__doc__ = "%s\n\n%s" % (
"Alias for :py:meth:`sentry_sdk.Scope.%s`" % f.__name__,
inspect.getdoc(getattr(Scope, f.__name__)),
)
return f
@hubmethod
def capture_event(
event, # type: Event
hint=None, # type: Optional[Hint]
scope=None, # type: Optional[Any]
**scope_args # type: Any
):
# type: (...) -> Optional[str]
return Hub.current.capture_event(event, hint, scope=scope, **scope_args)
@hubmethod
def capture_message(
message, # type: str
level=None, # type: Optional[str]
scope=None, # type: Optional[Any]
**scope_args # type: Any
):
# type: (...) -> Optional[str]
return Hub.current.capture_message(message, level, scope=scope, **scope_args)
@hubmethod
def capture_exception(
error=None, # type: Optional[Union[BaseException, ExcInfo]]
scope=None, # type: Optional[Any]
**scope_args # type: Any
):
# type: (...) -> Optional[str]
return Hub.current.capture_exception(error, scope=scope, **scope_args)
@hubmethod
def add_breadcrumb(
crumb=None, # type: Optional[Breadcrumb]
hint=None, # type: Optional[BreadcrumbHint]
**kwargs # type: Any
):
# type: (...) -> None
return Hub.current.add_breadcrumb(crumb, hint, **kwargs)
@overload
def configure_scope():
# type: () -> ContextManager[Scope]
pass
@overload
def configure_scope( # noqa: F811
callback, # type: Callable[[Scope], None]
):
# type: (...) -> None
pass
@hubmethod
def configure_scope( # noqa: F811
callback=None, # type: Optional[Callable[[Scope], None]]
):
# type: (...) -> Optional[ContextManager[Scope]]
return Hub.current.configure_scope(callback)
@overload
def push_scope():
# type: () -> ContextManager[Scope]
pass
@overload
def push_scope( # noqa: F811
callback, # type: Callable[[Scope], None]
):
# type: (...) -> None
pass
@hubmethod
def push_scope( # noqa: F811
callback=None, # type: Optional[Callable[[Scope], None]]
):
# type: (...) -> Optional[ContextManager[Scope]]
return Hub.current.push_scope(callback)
@scopemethod
def set_tag(key, value):
# type: (str, Any) -> None
return Hub.current.scope.set_tag(key, value)
@scopemethod
def set_context(key, value):
# type: (str, Dict[str, Any]) -> None
return Hub.current.scope.set_context(key, value)
@scopemethod
def set_extra(key, value):
# type: (str, Any) -> None
return Hub.current.scope.set_extra(key, value)
@scopemethod
def set_user(value):
# type: (Optional[Dict[str, Any]]) -> None
return Hub.current.scope.set_user(value)
@scopemethod
def set_level(value):
# type: (str) -> None
return Hub.current.scope.set_level(value)
@hubmethod
def flush(
timeout=None, # type: Optional[float]
callback=None, # type: Optional[Callable[[int, float], None]]
):
# type: (...) -> None
return Hub.current.flush(timeout=timeout, callback=callback)
@hubmethod
def last_event_id():
# type: () -> Optional[str]
return Hub.current.last_event_id()
@hubmethod
def start_span(
span=None, # type: Optional[Span]
**kwargs # type: Any
):
# type: (...) -> Span
return Hub.current.start_span(span=span, **kwargs)
@hubmethod
def start_transaction(
transaction=None, # type: Optional[Transaction]
**kwargs # type: Any
):
# type: (...) -> Union[Transaction, NoOpSpan]
return Hub.current.start_transaction(transaction, **kwargs)
| 4,773 | Python | 21.101852 | 82 | 0.622879 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/transport.py | from __future__ import print_function
import io
import urllib3 # type: ignore
import certifi
import gzip
import time
from datetime import datetime, timedelta
from collections import defaultdict
from sentry_sdk.utils import Dsn, logger, capture_internal_exceptions, json_dumps
from sentry_sdk.worker import BackgroundWorker
from sentry_sdk.envelope import Envelope, Item, PayloadRef
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
from typing import Callable
from typing import Dict
from typing import Iterable
from typing import Optional
from typing import Tuple
from typing import Type
from typing import Union
from typing import DefaultDict
from urllib3.poolmanager import PoolManager # type: ignore
from urllib3.poolmanager import ProxyManager
from sentry_sdk._types import Event, EndpointType
DataCategory = Optional[str]
try:
from urllib.request import getproxies
except ImportError:
from urllib import getproxies # type: ignore
class Transport(object):
"""Baseclass for all transports.
A transport is used to send an event to sentry.
"""
parsed_dsn = None # type: Optional[Dsn]
def __init__(
self, options=None # type: Optional[Dict[str, Any]]
):
# type: (...) -> None
self.options = options
if options and options["dsn"] is not None and options["dsn"]:
self.parsed_dsn = Dsn(options["dsn"])
else:
self.parsed_dsn = None
def capture_event(
self, event # type: Event
):
# type: (...) -> None
"""
This gets invoked with the event dictionary when an event should
be sent to sentry.
"""
raise NotImplementedError()
def capture_envelope(
self, envelope # type: Envelope
):
# type: (...) -> None
"""
Send an envelope to Sentry.
Envelopes are a data container format that can hold any type of data
submitted to Sentry. We use it for transactions and sessions, but
regular "error" events should go through `capture_event` for backwards
compat.
"""
raise NotImplementedError()
def flush(
self,
timeout, # type: float
callback=None, # type: Optional[Any]
):
# type: (...) -> None
"""Wait `timeout` seconds for the current events to be sent out."""
pass
def kill(self):
# type: () -> None
"""Forcefully kills the transport."""
pass
def record_lost_event(
self,
reason, # type: str
data_category=None, # type: Optional[str]
item=None, # type: Optional[Item]
):
# type: (...) -> None
"""This increments a counter for event loss by reason and
data category.
"""
return None
def __del__(self):
# type: () -> None
try:
self.kill()
except Exception:
pass
def _parse_rate_limits(header, now=None):
# type: (Any, Optional[datetime]) -> Iterable[Tuple[DataCategory, datetime]]
if now is None:
now = datetime.utcnow()
for limit in header.split(","):
try:
retry_after, categories, _ = limit.strip().split(":", 2)
retry_after = now + timedelta(seconds=int(retry_after))
for category in categories and categories.split(";") or (None,):
yield category, retry_after
except (LookupError, ValueError):
continue
class HttpTransport(Transport):
"""The default HTTP transport."""
def __init__(
self, options # type: Dict[str, Any]
):
# type: (...) -> None
from sentry_sdk.consts import VERSION
Transport.__init__(self, options)
assert self.parsed_dsn is not None
self.options = options # type: Dict[str, Any]
self._worker = BackgroundWorker(queue_size=options["transport_queue_size"])
self._auth = self.parsed_dsn.to_auth("sentry.python/%s" % VERSION)
self._disabled_until = {} # type: Dict[DataCategory, datetime]
self._retry = urllib3.util.Retry()
self._discarded_events = defaultdict(
int
) # type: DefaultDict[Tuple[str, str], int]
self._last_client_report_sent = time.time()
self._pool = self._make_pool(
self.parsed_dsn,
http_proxy=options["http_proxy"],
https_proxy=options["https_proxy"],
ca_certs=options["ca_certs"],
proxy_headers=options["proxy_headers"],
)
from sentry_sdk import Hub
self.hub_cls = Hub
def record_lost_event(
self,
reason, # type: str
data_category=None, # type: Optional[str]
item=None, # type: Optional[Item]
):
# type: (...) -> None
if not self.options["send_client_reports"]:
return
quantity = 1
if item is not None:
data_category = item.data_category
if data_category == "attachment":
# quantity of 0 is actually 1 as we do not want to count
# empty attachments as actually empty.
quantity = len(item.get_bytes()) or 1
elif data_category is None:
raise TypeError("data category not provided")
self._discarded_events[data_category, reason] += quantity
def _update_rate_limits(self, response):
# type: (urllib3.HTTPResponse) -> None
# new sentries with more rate limit insights. We honor this header
# no matter of the status code to update our internal rate limits.
header = response.headers.get("x-sentry-rate-limits")
if header:
logger.warning("Rate-limited via x-sentry-rate-limits")
self._disabled_until.update(_parse_rate_limits(header))
# old sentries only communicate global rate limit hits via the
# retry-after header on 429. This header can also be emitted on new
# sentries if a proxy in front wants to globally slow things down.
elif response.status == 429:
logger.warning("Rate-limited via 429")
self._disabled_until[None] = datetime.utcnow() + timedelta(
seconds=self._retry.get_retry_after(response) or 60
)
def _send_request(
self,
body, # type: bytes
headers, # type: Dict[str, str]
endpoint_type="store", # type: EndpointType
envelope=None, # type: Optional[Envelope]
):
# type: (...) -> None
def record_loss(reason):
# type: (str) -> None
if envelope is None:
self.record_lost_event(reason, data_category="error")
else:
for item in envelope.items:
self.record_lost_event(reason, item=item)
headers.update(
{
"User-Agent": str(self._auth.client),
"X-Sentry-Auth": str(self._auth.to_header()),
}
)
try:
response = self._pool.request(
"POST",
str(self._auth.get_api_url(endpoint_type)),
body=body,
headers=headers,
)
except Exception:
self.on_dropped_event("network")
record_loss("network_error")
raise
try:
self._update_rate_limits(response)
if response.status == 429:
# if we hit a 429. Something was rate limited but we already
# acted on this in `self._update_rate_limits`. Note that we
# do not want to record event loss here as we will have recorded
# an outcome in relay already.
self.on_dropped_event("status_429")
pass
elif response.status >= 300 or response.status < 200:
logger.error(
"Unexpected status code: %s (body: %s)",
response.status,
response.data,
)
self.on_dropped_event("status_{}".format(response.status))
record_loss("network_error")
finally:
response.close()
def on_dropped_event(self, reason):
# type: (str) -> None
return None
def _fetch_pending_client_report(self, force=False, interval=60):
# type: (bool, int) -> Optional[Item]
if not self.options["send_client_reports"]:
return None
if not (force or self._last_client_report_sent < time.time() - interval):
return None
discarded_events = self._discarded_events
self._discarded_events = defaultdict(int)
self._last_client_report_sent = time.time()
if not discarded_events:
return None
return Item(
PayloadRef(
json={
"timestamp": time.time(),
"discarded_events": [
{"reason": reason, "category": category, "quantity": quantity}
for (
(category, reason),
quantity,
) in discarded_events.items()
],
}
),
type="client_report",
)
def _flush_client_reports(self, force=False):
# type: (bool) -> None
client_report = self._fetch_pending_client_report(force=force, interval=60)
if client_report is not None:
self.capture_envelope(Envelope(items=[client_report]))
def _check_disabled(self, category):
# type: (str) -> bool
def _disabled(bucket):
# type: (Any) -> bool
ts = self._disabled_until.get(bucket)
return ts is not None and ts > datetime.utcnow()
return _disabled(category) or _disabled(None)
def _send_event(
self, event # type: Event
):
# type: (...) -> None
if self._check_disabled("error"):
self.on_dropped_event("self_rate_limits")
self.record_lost_event("ratelimit_backoff", data_category="error")
return None
body = io.BytesIO()
with gzip.GzipFile(fileobj=body, mode="w") as f:
f.write(json_dumps(event))
assert self.parsed_dsn is not None
logger.debug(
"Sending event, type:%s level:%s event_id:%s project:%s host:%s"
% (
event.get("type") or "null",
event.get("level") or "null",
event.get("event_id") or "null",
self.parsed_dsn.project_id,
self.parsed_dsn.host,
)
)
self._send_request(
body.getvalue(),
headers={"Content-Type": "application/json", "Content-Encoding": "gzip"},
)
return None
def _send_envelope(
self, envelope # type: Envelope
):
# type: (...) -> None
# remove all items from the envelope which are over quota
new_items = []
for item in envelope.items:
if self._check_disabled(item.data_category):
if item.data_category in ("transaction", "error", "default"):
self.on_dropped_event("self_rate_limits")
self.record_lost_event("ratelimit_backoff", item=item)
else:
new_items.append(item)
# Since we're modifying the envelope here make a copy so that others
# that hold references do not see their envelope modified.
envelope = Envelope(headers=envelope.headers, items=new_items)
if not envelope.items:
return None
# since we're already in the business of sending out an envelope here
# check if we have one pending for the stats session envelopes so we
# can attach it to this enveloped scheduled for sending. This will
# currently typically attach the client report to the most recent
# session update.
client_report_item = self._fetch_pending_client_report(interval=30)
if client_report_item is not None:
envelope.items.append(client_report_item)
body = io.BytesIO()
with gzip.GzipFile(fileobj=body, mode="w") as f:
envelope.serialize_into(f)
assert self.parsed_dsn is not None
logger.debug(
"Sending envelope [%s] project:%s host:%s",
envelope.description,
self.parsed_dsn.project_id,
self.parsed_dsn.host,
)
self._send_request(
body.getvalue(),
headers={
"Content-Type": "application/x-sentry-envelope",
"Content-Encoding": "gzip",
},
endpoint_type="envelope",
envelope=envelope,
)
return None
def _get_pool_options(self, ca_certs):
# type: (Optional[Any]) -> Dict[str, Any]
return {
"num_pools": 2,
"cert_reqs": "CERT_REQUIRED",
"ca_certs": ca_certs or certifi.where(),
}
def _in_no_proxy(self, parsed_dsn):
# type: (Dsn) -> bool
no_proxy = getproxies().get("no")
if not no_proxy:
return False
for host in no_proxy.split(","):
host = host.strip()
if parsed_dsn.host.endswith(host) or parsed_dsn.netloc.endswith(host):
return True
return False
def _make_pool(
self,
parsed_dsn, # type: Dsn
http_proxy, # type: Optional[str]
https_proxy, # type: Optional[str]
ca_certs, # type: Optional[Any]
proxy_headers, # type: Optional[Dict[str, str]]
):
# type: (...) -> Union[PoolManager, ProxyManager]
proxy = None
no_proxy = self._in_no_proxy(parsed_dsn)
# try HTTPS first
if parsed_dsn.scheme == "https" and (https_proxy != ""):
proxy = https_proxy or (not no_proxy and getproxies().get("https"))
# maybe fallback to HTTP proxy
if not proxy and (http_proxy != ""):
proxy = http_proxy or (not no_proxy and getproxies().get("http"))
opts = self._get_pool_options(ca_certs)
if proxy:
if proxy_headers:
opts["proxy_headers"] = proxy_headers
return urllib3.ProxyManager(proxy, **opts)
else:
return urllib3.PoolManager(**opts)
def capture_event(
self, event # type: Event
):
# type: (...) -> None
hub = self.hub_cls.current
def send_event_wrapper():
# type: () -> None
with hub:
with capture_internal_exceptions():
self._send_event(event)
self._flush_client_reports()
if not self._worker.submit(send_event_wrapper):
self.on_dropped_event("full_queue")
self.record_lost_event("queue_overflow", data_category="error")
def capture_envelope(
self, envelope # type: Envelope
):
# type: (...) -> None
hub = self.hub_cls.current
def send_envelope_wrapper():
# type: () -> None
with hub:
with capture_internal_exceptions():
self._send_envelope(envelope)
self._flush_client_reports()
if not self._worker.submit(send_envelope_wrapper):
self.on_dropped_event("full_queue")
for item in envelope.items:
self.record_lost_event("queue_overflow", item=item)
def flush(
self,
timeout, # type: float
callback=None, # type: Optional[Any]
):
# type: (...) -> None
logger.debug("Flushing HTTP transport")
if timeout > 0:
self._worker.submit(lambda: self._flush_client_reports(force=True))
self._worker.flush(timeout, callback)
def kill(self):
# type: () -> None
logger.debug("Killing HTTP transport")
self._worker.kill()
class _FunctionTransport(Transport):
def __init__(
self, func # type: Callable[[Event], None]
):
# type: (...) -> None
Transport.__init__(self)
self._func = func
def capture_event(
self, event # type: Event
):
# type: (...) -> None
self._func(event)
return None
def make_transport(options):
# type: (Dict[str, Any]) -> Optional[Transport]
ref_transport = options["transport"]
# If no transport is given, we use the http transport class
if ref_transport is None:
transport_cls = HttpTransport # type: Type[Transport]
elif isinstance(ref_transport, Transport):
return ref_transport
elif isinstance(ref_transport, type) and issubclass(ref_transport, Transport):
transport_cls = ref_transport
elif callable(ref_transport):
return _FunctionTransport(ref_transport) # type: ignore
# if a transport class is given only instantiate it if the dsn is not
# empty or None
if options["dsn"]:
return transport_cls(options)
return None
| 17,320 | Python | 31.255121 | 86 | 0.55537 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/client.py | import os
import uuid
import random
from datetime import datetime
import socket
from sentry_sdk._compat import string_types, text_type, iteritems
from sentry_sdk.utils import (
capture_internal_exceptions,
current_stacktrace,
disable_capture_event,
format_timestamp,
get_sdk_name,
get_type_name,
get_default_release,
handle_in_app,
logger,
)
from sentry_sdk.serializer import serialize
from sentry_sdk.transport import make_transport
from sentry_sdk.consts import (
DEFAULT_OPTIONS,
INSTRUMENTER,
VERSION,
ClientConstructor,
)
from sentry_sdk.integrations import setup_integrations
from sentry_sdk.utils import ContextVar
from sentry_sdk.sessions import SessionFlusher
from sentry_sdk.envelope import Envelope
from sentry_sdk.profiler import setup_profiler
from sentry_sdk.tracing_utils import has_tracestate_enabled, reinflate_tracestate
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
from typing import Callable
from typing import Dict
from typing import Optional
from sentry_sdk.scope import Scope
from sentry_sdk._types import Event, Hint
from sentry_sdk.session import Session
_client_init_debug = ContextVar("client_init_debug")
SDK_INFO = {
"name": "sentry.python", # SDK name will be overridden after integrations have been loaded with sentry_sdk.integrations.setup_integrations()
"version": VERSION,
"packages": [{"name": "pypi:sentry-sdk", "version": VERSION}],
}
def _get_options(*args, **kwargs):
# type: (*Optional[str], **Any) -> Dict[str, Any]
if args and (isinstance(args[0], (text_type, bytes, str)) or args[0] is None):
dsn = args[0] # type: Optional[str]
args = args[1:]
else:
dsn = None
if len(args) > 1:
raise TypeError("Only single positional argument is expected")
rv = dict(DEFAULT_OPTIONS)
options = dict(*args, **kwargs)
if dsn is not None and options.get("dsn") is None:
options["dsn"] = dsn
for key, value in iteritems(options):
if key not in rv:
raise TypeError("Unknown option %r" % (key,))
rv[key] = value
if rv["dsn"] is None:
rv["dsn"] = os.environ.get("SENTRY_DSN")
if rv["release"] is None:
rv["release"] = get_default_release()
if rv["environment"] is None:
rv["environment"] = os.environ.get("SENTRY_ENVIRONMENT") or "production"
if rv["server_name"] is None and hasattr(socket, "gethostname"):
rv["server_name"] = socket.gethostname()
if rv["instrumenter"] is None:
rv["instrumenter"] = INSTRUMENTER.SENTRY
return rv
class _Client(object):
"""The client is internally responsible for capturing the events and
forwarding them to sentry through the configured transport. It takes
the client options as keyword arguments and optionally the DSN as first
argument.
"""
def __init__(self, *args, **kwargs):
# type: (*Any, **Any) -> None
self.options = get_options(*args, **kwargs) # type: Dict[str, Any]
self._init_impl()
def __getstate__(self):
# type: () -> Any
return {"options": self.options}
def __setstate__(self, state):
# type: (Any) -> None
self.options = state["options"]
self._init_impl()
def _init_impl(self):
# type: () -> None
old_debug = _client_init_debug.get(False)
def _capture_envelope(envelope):
# type: (Envelope) -> None
if self.transport is not None:
self.transport.capture_envelope(envelope)
try:
_client_init_debug.set(self.options["debug"])
self.transport = make_transport(self.options)
self.session_flusher = SessionFlusher(capture_func=_capture_envelope)
request_bodies = ("always", "never", "small", "medium")
if self.options["request_bodies"] not in request_bodies:
raise ValueError(
"Invalid value for request_bodies. Must be one of {}".format(
request_bodies
)
)
self.integrations = setup_integrations(
self.options["integrations"],
with_defaults=self.options["default_integrations"],
with_auto_enabling_integrations=self.options[
"auto_enabling_integrations"
],
)
sdk_name = get_sdk_name(list(self.integrations.keys()))
SDK_INFO["name"] = sdk_name
logger.debug("Setting SDK name to '%s'", sdk_name)
finally:
_client_init_debug.set(old_debug)
profiles_sample_rate = self.options["_experiments"].get("profiles_sample_rate")
if profiles_sample_rate is not None and profiles_sample_rate > 0:
try:
setup_profiler(self.options)
except ValueError as e:
logger.debug(str(e))
@property
def dsn(self):
# type: () -> Optional[str]
"""Returns the configured DSN as string."""
return self.options["dsn"]
def _prepare_event(
self,
event, # type: Event
hint, # type: Hint
scope, # type: Optional[Scope]
):
# type: (...) -> Optional[Event]
if event.get("timestamp") is None:
event["timestamp"] = datetime.utcnow()
if scope is not None:
is_transaction = event.get("type") == "transaction"
event_ = scope.apply_to_event(event, hint)
# one of the event/error processors returned None
if event_ is None:
if self.transport:
self.transport.record_lost_event(
"event_processor",
data_category=("transaction" if is_transaction else "error"),
)
return None
event = event_
if (
self.options["attach_stacktrace"]
and "exception" not in event
and "stacktrace" not in event
and "threads" not in event
):
with capture_internal_exceptions():
event["threads"] = {
"values": [
{
"stacktrace": current_stacktrace(
self.options["with_locals"]
),
"crashed": False,
"current": True,
}
]
}
for key in "release", "environment", "server_name", "dist":
if event.get(key) is None and self.options[key] is not None:
event[key] = text_type(self.options[key]).strip()
if event.get("sdk") is None:
sdk_info = dict(SDK_INFO)
sdk_info["integrations"] = sorted(self.integrations.keys())
event["sdk"] = sdk_info
if event.get("platform") is None:
event["platform"] = "python"
event = handle_in_app(
event, self.options["in_app_exclude"], self.options["in_app_include"]
)
# Postprocess the event here so that annotated types do
# generally not surface in before_send
if event is not None:
event = serialize(
event,
smart_transaction_trimming=self.options["_experiments"].get(
"smart_transaction_trimming"
),
)
before_send = self.options["before_send"]
if before_send is not None and event.get("type") != "transaction":
new_event = None
with capture_internal_exceptions():
new_event = before_send(event, hint or {})
if new_event is None:
logger.info("before send dropped event (%s)", event)
if self.transport:
self.transport.record_lost_event(
"before_send", data_category="error"
)
event = new_event # type: ignore
before_send_transaction = self.options["before_send_transaction"]
if before_send_transaction is not None and event.get("type") == "transaction":
new_event = None
with capture_internal_exceptions():
new_event = before_send_transaction(event, hint or {})
if new_event is None:
logger.info("before send transaction dropped event (%s)", event)
if self.transport:
self.transport.record_lost_event(
"before_send", data_category="transaction"
)
event = new_event # type: ignore
return event
def _is_ignored_error(self, event, hint):
# type: (Event, Hint) -> bool
exc_info = hint.get("exc_info")
if exc_info is None:
return False
error = exc_info[0]
error_type_name = get_type_name(exc_info[0])
error_full_name = "%s.%s" % (exc_info[0].__module__, error_type_name)
for ignored_error in self.options["ignore_errors"]:
# String types are matched against the type name in the
# exception only
if isinstance(ignored_error, string_types):
if ignored_error == error_full_name or ignored_error == error_type_name:
return True
else:
if issubclass(error, ignored_error):
return True
return False
def _should_capture(
self,
event, # type: Event
hint, # type: Hint
scope=None, # type: Optional[Scope]
):
# type: (...) -> bool
# Transactions are sampled independent of error events.
is_transaction = event.get("type") == "transaction"
if is_transaction:
return True
ignoring_prevents_recursion = scope is not None and not scope._should_capture
if ignoring_prevents_recursion:
return False
ignored_by_config_option = self._is_ignored_error(event, hint)
if ignored_by_config_option:
return False
return True
def _should_sample_error(
self,
event, # type: Event
):
# type: (...) -> bool
not_in_sample_rate = (
self.options["sample_rate"] < 1.0
and random.random() >= self.options["sample_rate"]
)
if not_in_sample_rate:
# because we will not sample this event, record a "lost event".
if self.transport:
self.transport.record_lost_event("sample_rate", data_category="error")
return False
return True
def _update_session_from_event(
self,
session, # type: Session
event, # type: Event
):
# type: (...) -> None
crashed = False
errored = False
user_agent = None
exceptions = (event.get("exception") or {}).get("values")
if exceptions:
errored = True
for error in exceptions:
mechanism = error.get("mechanism")
if mechanism and mechanism.get("handled") is False:
crashed = True
break
user = event.get("user")
if session.user_agent is None:
headers = (event.get("request") or {}).get("headers")
for (k, v) in iteritems(headers or {}):
if k.lower() == "user-agent":
user_agent = v
break
session.update(
status="crashed" if crashed else None,
user=user,
user_agent=user_agent,
errors=session.errors + (errored or crashed),
)
def capture_event(
self,
event, # type: Event
hint=None, # type: Optional[Hint]
scope=None, # type: Optional[Scope]
):
# type: (...) -> Optional[str]
"""Captures an event.
:param event: A ready-made event that can be directly sent to Sentry.
:param hint: Contains metadata about the event that can be read from `before_send`, such as the original exception object or a HTTP request object.
:returns: An event ID. May be `None` if there is no DSN set or of if the SDK decided to discard the event for other reasons. In such situations setting `debug=True` on `init()` may help.
"""
if disable_capture_event.get(False):
return None
if self.transport is None:
return None
if hint is None:
hint = {}
event_id = event.get("event_id")
hint = dict(hint or ()) # type: Hint
if event_id is None:
event["event_id"] = event_id = uuid.uuid4().hex
if not self._should_capture(event, hint, scope):
return None
profile = event.pop("profile", None)
event_opt = self._prepare_event(event, hint, scope)
if event_opt is None:
return None
# whenever we capture an event we also check if the session needs
# to be updated based on that information.
session = scope._session if scope else None
if session:
self._update_session_from_event(session, event)
is_transaction = event_opt.get("type") == "transaction"
if not is_transaction and not self._should_sample_error(event):
return None
attachments = hint.get("attachments")
# this is outside of the `if` immediately below because even if we don't
# use the value, we want to make sure we remove it before the event is
# sent
raw_tracestate = (
event_opt.get("contexts", {}).get("trace", {}).pop("tracestate", "")
)
dynamic_sampling_context = (
event_opt.get("contexts", {})
.get("trace", {})
.pop("dynamic_sampling_context", {})
)
# Transactions or events with attachments should go to the /envelope/
# endpoint.
if is_transaction or attachments:
headers = {
"event_id": event_opt["event_id"],
"sent_at": format_timestamp(datetime.utcnow()),
}
if has_tracestate_enabled():
tracestate_data = raw_tracestate and reinflate_tracestate(
raw_tracestate.replace("sentry=", "")
)
if tracestate_data:
headers["trace"] = tracestate_data
elif dynamic_sampling_context:
headers["trace"] = dynamic_sampling_context
envelope = Envelope(headers=headers)
if is_transaction:
if profile is not None:
envelope.add_profile(profile.to_json(event_opt, self.options))
envelope.add_transaction(event_opt)
else:
envelope.add_event(event_opt)
for attachment in attachments or ():
envelope.add_item(attachment.to_envelope_item())
self.transport.capture_envelope(envelope)
else:
# All other events go to the /store/ endpoint.
self.transport.capture_event(event_opt)
return event_id
def capture_session(
self, session # type: Session
):
# type: (...) -> None
if not session.release:
logger.info("Discarded session update because of missing release")
else:
self.session_flusher.add_session(session)
def close(
self,
timeout=None, # type: Optional[float]
callback=None, # type: Optional[Callable[[int, float], None]]
):
# type: (...) -> None
"""
Close the client and shut down the transport. Arguments have the same
semantics as :py:meth:`Client.flush`.
"""
if self.transport is not None:
self.flush(timeout=timeout, callback=callback)
self.session_flusher.kill()
self.transport.kill()
self.transport = None
def flush(
self,
timeout=None, # type: Optional[float]
callback=None, # type: Optional[Callable[[int, float], None]]
):
# type: (...) -> None
"""
Wait for the current events to be sent.
:param timeout: Wait for at most `timeout` seconds. If no `timeout` is provided, the `shutdown_timeout` option value is used.
:param callback: Is invoked with the number of pending events and the configured timeout.
"""
if self.transport is not None:
if timeout is None:
timeout = self.options["shutdown_timeout"]
self.session_flusher.flush()
self.transport.flush(timeout=timeout, callback=callback)
def __enter__(self):
# type: () -> _Client
return self
def __exit__(self, exc_type, exc_value, tb):
# type: (Any, Any, Any) -> None
self.close()
from sentry_sdk._types import MYPY
if MYPY:
# Make mypy, PyCharm and other static analyzers think `get_options` is a
# type to have nicer autocompletion for params.
#
# Use `ClientConstructor` to define the argument types of `init` and
# `Dict[str, Any]` to tell static analyzers about the return type.
class get_options(ClientConstructor, Dict[str, Any]): # noqa: N801
pass
class Client(ClientConstructor, _Client):
pass
else:
# Alias `get_options` for actual usage. Go through the lambda indirection
# to throw PyCharm off of the weakly typed signature (it would otherwise
# discover both the weakly typed signature of `_init` and our faked `init`
# type).
get_options = (lambda: _get_options)()
Client = (lambda: _Client)()
| 17,961 | Python | 32.386617 | 194 | 0.560325 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/_functools.py | """
A backport of Python 3 functools to Python 2/3. The only important change
we rely upon is that `update_wrapper` handles AttributeError gracefully.
"""
from functools import partial
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
from typing import Callable
WRAPPER_ASSIGNMENTS = (
"__module__",
"__name__",
"__qualname__",
"__doc__",
"__annotations__",
)
WRAPPER_UPDATES = ("__dict__",)
def update_wrapper(
wrapper, wrapped, assigned=WRAPPER_ASSIGNMENTS, updated=WRAPPER_UPDATES
):
# type: (Any, Any, Any, Any) -> Any
"""Update a wrapper function to look like the wrapped function
wrapper is the function to be updated
wrapped is the original function
assigned is a tuple naming the attributes assigned directly
from the wrapped function to the wrapper function (defaults to
functools.WRAPPER_ASSIGNMENTS)
updated is a tuple naming the attributes of the wrapper that
are updated with the corresponding attribute from the wrapped
function (defaults to functools.WRAPPER_UPDATES)
"""
for attr in assigned:
try:
value = getattr(wrapped, attr)
except AttributeError:
pass
else:
setattr(wrapper, attr, value)
for attr in updated:
getattr(wrapper, attr).update(getattr(wrapped, attr, {}))
# Issue #17482: set __wrapped__ last so we don't inadvertently copy it
# from the wrapped function when updating __dict__
wrapper.__wrapped__ = wrapped
# Return the wrapper so this can be used as a decorator via partial()
return wrapper
def wraps(wrapped, assigned=WRAPPER_ASSIGNMENTS, updated=WRAPPER_UPDATES):
# type: (Callable[..., Any], Any, Any) -> Callable[[Callable[..., Any]], Callable[..., Any]]
"""Decorator factory to apply update_wrapper() to a wrapper function
Returns a decorator that invokes update_wrapper() with the decorated
function as the wrapper argument and the arguments to wraps() as the
remaining arguments. Default arguments are as for update_wrapper().
This is a convenience function to simplify applying partial() to
update_wrapper().
"""
return partial(update_wrapper, wrapped=wrapped, assigned=assigned, updated=updated)
| 2,276 | Python | 32.985074 | 96 | 0.688489 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/session.py | import uuid
from datetime import datetime
from sentry_sdk._types import MYPY
from sentry_sdk.utils import format_timestamp
if MYPY:
from typing import Optional
from typing import Union
from typing import Any
from typing import Dict
from sentry_sdk._types import SessionStatus
def _minute_trunc(ts):
# type: (datetime) -> datetime
return ts.replace(second=0, microsecond=0)
def _make_uuid(
val, # type: Union[str, uuid.UUID]
):
# type: (...) -> uuid.UUID
if isinstance(val, uuid.UUID):
return val
return uuid.UUID(val)
class Session(object):
def __init__(
self,
sid=None, # type: Optional[Union[str, uuid.UUID]]
did=None, # type: Optional[str]
timestamp=None, # type: Optional[datetime]
started=None, # type: Optional[datetime]
duration=None, # type: Optional[float]
status=None, # type: Optional[SessionStatus]
release=None, # type: Optional[str]
environment=None, # type: Optional[str]
user_agent=None, # type: Optional[str]
ip_address=None, # type: Optional[str]
errors=None, # type: Optional[int]
user=None, # type: Optional[Any]
session_mode="application", # type: str
):
# type: (...) -> None
if sid is None:
sid = uuid.uuid4()
if started is None:
started = datetime.utcnow()
if status is None:
status = "ok"
self.status = status
self.did = None # type: Optional[str]
self.started = started
self.release = None # type: Optional[str]
self.environment = None # type: Optional[str]
self.duration = None # type: Optional[float]
self.user_agent = None # type: Optional[str]
self.ip_address = None # type: Optional[str]
self.session_mode = session_mode # type: str
self.errors = 0
self.update(
sid=sid,
did=did,
timestamp=timestamp,
duration=duration,
release=release,
environment=environment,
user_agent=user_agent,
ip_address=ip_address,
errors=errors,
user=user,
)
@property
def truncated_started(self):
# type: (...) -> datetime
return _minute_trunc(self.started)
def update(
self,
sid=None, # type: Optional[Union[str, uuid.UUID]]
did=None, # type: Optional[str]
timestamp=None, # type: Optional[datetime]
started=None, # type: Optional[datetime]
duration=None, # type: Optional[float]
status=None, # type: Optional[SessionStatus]
release=None, # type: Optional[str]
environment=None, # type: Optional[str]
user_agent=None, # type: Optional[str]
ip_address=None, # type: Optional[str]
errors=None, # type: Optional[int]
user=None, # type: Optional[Any]
):
# type: (...) -> None
# If a user is supplied we pull some data form it
if user:
if ip_address is None:
ip_address = user.get("ip_address")
if did is None:
did = user.get("id") or user.get("email") or user.get("username")
if sid is not None:
self.sid = _make_uuid(sid)
if did is not None:
self.did = str(did)
if timestamp is None:
timestamp = datetime.utcnow()
self.timestamp = timestamp
if started is not None:
self.started = started
if duration is not None:
self.duration = duration
if release is not None:
self.release = release
if environment is not None:
self.environment = environment
if ip_address is not None:
self.ip_address = ip_address
if user_agent is not None:
self.user_agent = user_agent
if errors is not None:
self.errors = errors
if status is not None:
self.status = status
def close(
self, status=None # type: Optional[SessionStatus]
):
# type: (...) -> Any
if status is None and self.status == "ok":
status = "exited"
if status is not None:
self.update(status=status)
def get_json_attrs(
self, with_user_info=True # type: Optional[bool]
):
# type: (...) -> Any
attrs = {}
if self.release is not None:
attrs["release"] = self.release
if self.environment is not None:
attrs["environment"] = self.environment
if with_user_info:
if self.ip_address is not None:
attrs["ip_address"] = self.ip_address
if self.user_agent is not None:
attrs["user_agent"] = self.user_agent
return attrs
def to_json(self):
# type: (...) -> Any
rv = {
"sid": str(self.sid),
"init": True,
"started": format_timestamp(self.started),
"timestamp": format_timestamp(self.timestamp),
"status": self.status,
} # type: Dict[str, Any]
if self.errors:
rv["errors"] = self.errors
if self.did is not None:
rv["did"] = self.did
if self.duration is not None:
rv["duration"] = self.duration
attrs = self.get_json_attrs()
if attrs:
rv["attrs"] = attrs
return rv
| 5,543 | Python | 30.68 | 81 | 0.546275 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/sessions.py | import os
import time
from threading import Thread, Lock
from contextlib import contextmanager
import sentry_sdk
from sentry_sdk.envelope import Envelope
from sentry_sdk.session import Session
from sentry_sdk._types import MYPY
from sentry_sdk.utils import format_timestamp
if MYPY:
from typing import Any
from typing import Callable
from typing import Dict
from typing import Generator
from typing import List
from typing import Optional
from typing import Union
def is_auto_session_tracking_enabled(hub=None):
# type: (Optional[sentry_sdk.Hub]) -> Union[Any, bool, None]
"""Utility function to find out if session tracking is enabled."""
if hub is None:
hub = sentry_sdk.Hub.current
should_track = hub.scope._force_auto_session_tracking
if should_track is None:
client_options = hub.client.options if hub.client else {}
should_track = client_options.get("auto_session_tracking", False)
return should_track
@contextmanager
def auto_session_tracking(hub=None, session_mode="application"):
# type: (Optional[sentry_sdk.Hub], str) -> Generator[None, None, None]
"""Starts and stops a session automatically around a block."""
if hub is None:
hub = sentry_sdk.Hub.current
should_track = is_auto_session_tracking_enabled(hub)
if should_track:
hub.start_session(session_mode=session_mode)
try:
yield
finally:
if should_track:
hub.end_session()
TERMINAL_SESSION_STATES = ("exited", "abnormal", "crashed")
MAX_ENVELOPE_ITEMS = 100
def make_aggregate_envelope(aggregate_states, attrs):
# type: (Any, Any) -> Any
return {"attrs": dict(attrs), "aggregates": list(aggregate_states.values())}
class SessionFlusher(object):
def __init__(
self,
capture_func, # type: Callable[[Envelope], None]
flush_interval=60, # type: int
):
# type: (...) -> None
self.capture_func = capture_func
self.flush_interval = flush_interval
self.pending_sessions = [] # type: List[Any]
self.pending_aggregates = {} # type: Dict[Any, Any]
self._thread = None # type: Optional[Thread]
self._thread_lock = Lock()
self._aggregate_lock = Lock()
self._thread_for_pid = None # type: Optional[int]
self._running = True
def flush(self):
# type: (...) -> None
pending_sessions = self.pending_sessions
self.pending_sessions = []
with self._aggregate_lock:
pending_aggregates = self.pending_aggregates
self.pending_aggregates = {}
envelope = Envelope()
for session in pending_sessions:
if len(envelope.items) == MAX_ENVELOPE_ITEMS:
self.capture_func(envelope)
envelope = Envelope()
envelope.add_session(session)
for (attrs, states) in pending_aggregates.items():
if len(envelope.items) == MAX_ENVELOPE_ITEMS:
self.capture_func(envelope)
envelope = Envelope()
envelope.add_sessions(make_aggregate_envelope(states, attrs))
if len(envelope.items) > 0:
self.capture_func(envelope)
def _ensure_running(self):
# type: (...) -> None
if self._thread_for_pid == os.getpid() and self._thread is not None:
return None
with self._thread_lock:
if self._thread_for_pid == os.getpid() and self._thread is not None:
return None
def _thread():
# type: (...) -> None
while self._running:
time.sleep(self.flush_interval)
if self._running:
self.flush()
thread = Thread(target=_thread)
thread.daemon = True
thread.start()
self._thread = thread
self._thread_for_pid = os.getpid()
return None
def add_aggregate_session(
self, session # type: Session
):
# type: (...) -> None
# NOTE on `session.did`:
# the protocol can deal with buckets that have a distinct-id, however
# in practice we expect the python SDK to have an extremely high cardinality
# here, effectively making aggregation useless, therefore we do not
# aggregate per-did.
# For this part we can get away with using the global interpreter lock
with self._aggregate_lock:
attrs = session.get_json_attrs(with_user_info=False)
primary_key = tuple(sorted(attrs.items()))
secondary_key = session.truncated_started # (, session.did)
states = self.pending_aggregates.setdefault(primary_key, {})
state = states.setdefault(secondary_key, {})
if "started" not in state:
state["started"] = format_timestamp(session.truncated_started)
# if session.did is not None:
# state["did"] = session.did
if session.status == "crashed":
state["crashed"] = state.get("crashed", 0) + 1
elif session.status == "abnormal":
state["abnormal"] = state.get("abnormal", 0) + 1
elif session.errors > 0:
state["errored"] = state.get("errored", 0) + 1
else:
state["exited"] = state.get("exited", 0) + 1
def add_session(
self, session # type: Session
):
# type: (...) -> None
if session.session_mode == "request":
self.add_aggregate_session(session)
else:
self.pending_sessions.append(session.to_json())
self._ensure_running()
def kill(self):
# type: (...) -> None
self._running = False
def __del__(self):
# type: (...) -> None
self.kill()
| 5,884 | Python | 32.4375 | 84 | 0.586506 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/hub.py | import copy
import sys
from datetime import datetime
from contextlib import contextmanager
from sentry_sdk._compat import with_metaclass
from sentry_sdk.consts import INSTRUMENTER
from sentry_sdk.scope import Scope
from sentry_sdk.client import Client
from sentry_sdk.tracing import NoOpSpan, Span, Transaction
from sentry_sdk.session import Session
from sentry_sdk.utils import (
exc_info_from_error,
event_from_exception,
logger,
ContextVar,
)
from sentry_sdk._types import MYPY
if MYPY:
from typing import Union
from typing import Any
from typing import Optional
from typing import Tuple
from typing import Dict
from typing import List
from typing import Callable
from typing import Generator
from typing import Type
from typing import TypeVar
from typing import overload
from typing import ContextManager
from sentry_sdk.integrations import Integration
from sentry_sdk._types import (
Event,
Hint,
Breadcrumb,
BreadcrumbHint,
ExcInfo,
)
from sentry_sdk.consts import ClientConstructor
T = TypeVar("T")
else:
def overload(x):
# type: (T) -> T
return x
_local = ContextVar("sentry_current_hub")
def _update_scope(base, scope_change, scope_kwargs):
# type: (Scope, Optional[Any], Dict[str, Any]) -> Scope
if scope_change and scope_kwargs:
raise TypeError("cannot provide scope and kwargs")
if scope_change is not None:
final_scope = copy.copy(base)
if callable(scope_change):
scope_change(final_scope)
else:
final_scope.update_from_scope(scope_change)
elif scope_kwargs:
final_scope = copy.copy(base)
final_scope.update_from_kwargs(**scope_kwargs)
else:
final_scope = base
return final_scope
def _should_send_default_pii():
# type: () -> bool
client = Hub.current.client
if not client:
return False
return client.options["send_default_pii"]
class _InitGuard(object):
def __init__(self, client):
# type: (Client) -> None
self._client = client
def __enter__(self):
# type: () -> _InitGuard
return self
def __exit__(self, exc_type, exc_value, tb):
# type: (Any, Any, Any) -> None
c = self._client
if c is not None:
c.close()
def _check_python_deprecations():
# type: () -> None
version = sys.version_info[:2]
if version == (3, 4) or version == (3, 5):
logger.warning(
"sentry-sdk 2.0.0 will drop support for Python %s.",
"{}.{}".format(*version),
)
logger.warning(
"Please upgrade to the latest version to continue receiving upgrades and bugfixes."
)
def _init(*args, **kwargs):
# type: (*Optional[str], **Any) -> ContextManager[Any]
"""Initializes the SDK and optionally integrations.
This takes the same arguments as the client constructor.
"""
client = Client(*args, **kwargs) # type: ignore
Hub.current.bind_client(client)
_check_python_deprecations()
rv = _InitGuard(client)
return rv
from sentry_sdk._types import MYPY
if MYPY:
# Make mypy, PyCharm and other static analyzers think `init` is a type to
# have nicer autocompletion for params.
#
# Use `ClientConstructor` to define the argument types of `init` and
# `ContextManager[Any]` to tell static analyzers about the return type.
class init(ClientConstructor, _InitGuard): # noqa: N801
pass
else:
# Alias `init` for actual usage. Go through the lambda indirection to throw
# PyCharm off of the weakly typed signature (it would otherwise discover
# both the weakly typed signature of `_init` and our faked `init` type).
init = (lambda: _init)()
class HubMeta(type):
@property
def current(cls):
# type: () -> Hub
"""Returns the current instance of the hub."""
rv = _local.get(None)
if rv is None:
rv = Hub(GLOBAL_HUB)
_local.set(rv)
return rv
@property
def main(cls):
# type: () -> Hub
"""Returns the main instance of the hub."""
return GLOBAL_HUB
class _ScopeManager(object):
def __init__(self, hub):
# type: (Hub) -> None
self._hub = hub
self._original_len = len(hub._stack)
self._layer = hub._stack[-1]
def __enter__(self):
# type: () -> Scope
scope = self._layer[1]
assert scope is not None
return scope
def __exit__(self, exc_type, exc_value, tb):
# type: (Any, Any, Any) -> None
current_len = len(self._hub._stack)
if current_len < self._original_len:
logger.error(
"Scope popped too soon. Popped %s scopes too many.",
self._original_len - current_len,
)
return
elif current_len > self._original_len:
logger.warning(
"Leaked %s scopes: %s",
current_len - self._original_len,
self._hub._stack[self._original_len :],
)
layer = self._hub._stack[self._original_len - 1]
del self._hub._stack[self._original_len - 1 :]
if layer[1] != self._layer[1]:
logger.error(
"Wrong scope found. Meant to pop %s, but popped %s.",
layer[1],
self._layer[1],
)
elif layer[0] != self._layer[0]:
warning = (
"init() called inside of pushed scope. This might be entirely "
"legitimate but usually occurs when initializing the SDK inside "
"a request handler or task/job function. Try to initialize the "
"SDK as early as possible instead."
)
logger.warning(warning)
class Hub(with_metaclass(HubMeta)): # type: ignore
"""The hub wraps the concurrency management of the SDK. Each thread has
its own hub but the hub might transfer with the flow of execution if
context vars are available.
If the hub is used with a with statement it's temporarily activated.
"""
_stack = None # type: List[Tuple[Optional[Client], Scope]]
# Mypy doesn't pick up on the metaclass.
if MYPY:
current = None # type: Hub
main = None # type: Hub
def __init__(
self,
client_or_hub=None, # type: Optional[Union[Hub, Client]]
scope=None, # type: Optional[Any]
):
# type: (...) -> None
if isinstance(client_or_hub, Hub):
hub = client_or_hub
client, other_scope = hub._stack[-1]
if scope is None:
scope = copy.copy(other_scope)
else:
client = client_or_hub
if scope is None:
scope = Scope()
self._stack = [(client, scope)]
self._last_event_id = None # type: Optional[str]
self._old_hubs = [] # type: List[Hub]
def __enter__(self):
# type: () -> Hub
self._old_hubs.append(Hub.current)
_local.set(self)
return self
def __exit__(
self,
exc_type, # type: Optional[type]
exc_value, # type: Optional[BaseException]
tb, # type: Optional[Any]
):
# type: (...) -> None
old = self._old_hubs.pop()
_local.set(old)
def run(
self, callback # type: Callable[[], T]
):
# type: (...) -> T
"""Runs a callback in the context of the hub. Alternatively the
with statement can be used on the hub directly.
"""
with self:
return callback()
def get_integration(
self, name_or_class # type: Union[str, Type[Integration]]
):
# type: (...) -> Any
"""Returns the integration for this hub by name or class. If there
is no client bound or the client does not have that integration
then `None` is returned.
If the return value is not `None` the hub is guaranteed to have a
client attached.
"""
if isinstance(name_or_class, str):
integration_name = name_or_class
elif name_or_class.identifier is not None:
integration_name = name_or_class.identifier
else:
raise ValueError("Integration has no name")
client = self.client
if client is not None:
rv = client.integrations.get(integration_name)
if rv is not None:
return rv
@property
def client(self):
# type: () -> Optional[Client]
"""Returns the current client on the hub."""
return self._stack[-1][0]
@property
def scope(self):
# type: () -> Scope
"""Returns the current scope on the hub."""
return self._stack[-1][1]
def last_event_id(self):
# type: () -> Optional[str]
"""Returns the last event ID."""
return self._last_event_id
def bind_client(
self, new # type: Optional[Client]
):
# type: (...) -> None
"""Binds a new client to the hub."""
top = self._stack[-1]
self._stack[-1] = (new, top[1])
def capture_event(
self,
event, # type: Event
hint=None, # type: Optional[Hint]
scope=None, # type: Optional[Any]
**scope_args # type: Any
):
# type: (...) -> Optional[str]
"""Captures an event. Alias of :py:meth:`sentry_sdk.Client.capture_event`."""
client, top_scope = self._stack[-1]
scope = _update_scope(top_scope, scope, scope_args)
if client is not None:
is_transaction = event.get("type") == "transaction"
rv = client.capture_event(event, hint, scope)
if rv is not None and not is_transaction:
self._last_event_id = rv
return rv
return None
def capture_message(
self,
message, # type: str
level=None, # type: Optional[str]
scope=None, # type: Optional[Any]
**scope_args # type: Any
):
# type: (...) -> Optional[str]
"""Captures a message. The message is just a string. If no level
is provided the default level is `info`.
:returns: An `event_id` if the SDK decided to send the event (see :py:meth:`sentry_sdk.Client.capture_event`).
"""
if self.client is None:
return None
if level is None:
level = "info"
return self.capture_event(
{"message": message, "level": level}, scope=scope, **scope_args
)
def capture_exception(
self,
error=None, # type: Optional[Union[BaseException, ExcInfo]]
scope=None, # type: Optional[Any]
**scope_args # type: Any
):
# type: (...) -> Optional[str]
"""Captures an exception.
:param error: An exception to catch. If `None`, `sys.exc_info()` will be used.
:returns: An `event_id` if the SDK decided to send the event (see :py:meth:`sentry_sdk.Client.capture_event`).
"""
client = self.client
if client is None:
return None
if error is not None:
exc_info = exc_info_from_error(error)
else:
exc_info = sys.exc_info()
event, hint = event_from_exception(exc_info, client_options=client.options)
try:
return self.capture_event(event, hint=hint, scope=scope, **scope_args)
except Exception:
self._capture_internal_exception(sys.exc_info())
return None
def _capture_internal_exception(
self, exc_info # type: Any
):
# type: (...) -> Any
"""
Capture an exception that is likely caused by a bug in the SDK
itself.
These exceptions do not end up in Sentry and are just logged instead.
"""
logger.error("Internal error in sentry_sdk", exc_info=exc_info)
def add_breadcrumb(
self,
crumb=None, # type: Optional[Breadcrumb]
hint=None, # type: Optional[BreadcrumbHint]
**kwargs # type: Any
):
# type: (...) -> None
"""
Adds a breadcrumb.
:param crumb: Dictionary with the data as the sentry v7/v8 protocol expects.
:param hint: An optional value that can be used by `before_breadcrumb`
to customize the breadcrumbs that are emitted.
"""
client, scope = self._stack[-1]
if client is None:
logger.info("Dropped breadcrumb because no client bound")
return
crumb = dict(crumb or ()) # type: Breadcrumb
crumb.update(kwargs)
if not crumb:
return
hint = dict(hint or ()) # type: Hint
if crumb.get("timestamp") is None:
crumb["timestamp"] = datetime.utcnow()
if crumb.get("type") is None:
crumb["type"] = "default"
if client.options["before_breadcrumb"] is not None:
new_crumb = client.options["before_breadcrumb"](crumb, hint)
else:
new_crumb = crumb
if new_crumb is not None:
scope._breadcrumbs.append(new_crumb)
else:
logger.info("before breadcrumb dropped breadcrumb (%s)", crumb)
max_breadcrumbs = client.options["max_breadcrumbs"] # type: int
while len(scope._breadcrumbs) > max_breadcrumbs:
scope._breadcrumbs.popleft()
def start_span(
self,
span=None, # type: Optional[Span]
instrumenter=INSTRUMENTER.SENTRY, # type: str
**kwargs # type: Any
):
# type: (...) -> Span
"""
Create and start timing a new span whose parent is the currently active
span or transaction, if any. The return value is a span instance,
typically used as a context manager to start and stop timing in a `with`
block.
Only spans contained in a transaction are sent to Sentry. Most
integrations start a transaction at the appropriate time, for example
for every incoming HTTP request. Use `start_transaction` to start a new
transaction when one is not already in progress.
"""
configuration_instrumenter = self.client and self.client.options["instrumenter"]
if instrumenter != configuration_instrumenter:
return NoOpSpan()
# TODO: consider removing this in a future release.
# This is for backwards compatibility with releases before
# start_transaction existed, to allow for a smoother transition.
if isinstance(span, Transaction) or "transaction" in kwargs:
deprecation_msg = (
"Deprecated: use start_transaction to start transactions and "
"Transaction.start_child to start spans."
)
if isinstance(span, Transaction):
logger.warning(deprecation_msg)
return self.start_transaction(span)
if "transaction" in kwargs:
logger.warning(deprecation_msg)
name = kwargs.pop("transaction")
return self.start_transaction(name=name, **kwargs)
if span is not None:
return span
kwargs.setdefault("hub", self)
span = self.scope.span
if span is not None:
return span.start_child(**kwargs)
return Span(**kwargs)
def start_transaction(
self,
transaction=None, # type: Optional[Transaction]
instrumenter=INSTRUMENTER.SENTRY, # type: str
**kwargs # type: Any
):
# type: (...) -> Union[Transaction, NoOpSpan]
"""
Start and return a transaction.
Start an existing transaction if given, otherwise create and start a new
transaction with kwargs.
This is the entry point to manual tracing instrumentation.
A tree structure can be built by adding child spans to the transaction,
and child spans to other spans. To start a new child span within the
transaction or any span, call the respective `.start_child()` method.
Every child span must be finished before the transaction is finished,
otherwise the unfinished spans are discarded.
When used as context managers, spans and transactions are automatically
finished at the end of the `with` block. If not using context managers,
call the `.finish()` method.
When the transaction is finished, it will be sent to Sentry with all its
finished child spans.
"""
configuration_instrumenter = self.client and self.client.options["instrumenter"]
if instrumenter != configuration_instrumenter:
return NoOpSpan()
custom_sampling_context = kwargs.pop("custom_sampling_context", {})
# if we haven't been given a transaction, make one
if transaction is None:
kwargs.setdefault("hub", self)
transaction = Transaction(**kwargs)
# use traces_sample_rate, traces_sampler, and/or inheritance to make a
# sampling decision
sampling_context = {
"transaction_context": transaction.to_json(),
"parent_sampled": transaction.parent_sampled,
}
sampling_context.update(custom_sampling_context)
transaction._set_initial_sampling_decision(sampling_context=sampling_context)
# we don't bother to keep spans if we already know we're not going to
# send the transaction
if transaction.sampled:
max_spans = (
self.client and self.client.options["_experiments"].get("max_spans")
) or 1000
transaction.init_span_recorder(maxlen=max_spans)
return transaction
@overload
def push_scope(
self, callback=None # type: Optional[None]
):
# type: (...) -> ContextManager[Scope]
pass
@overload
def push_scope( # noqa: F811
self, callback # type: Callable[[Scope], None]
):
# type: (...) -> None
pass
def push_scope( # noqa
self, callback=None # type: Optional[Callable[[Scope], None]]
):
# type: (...) -> Optional[ContextManager[Scope]]
"""
Pushes a new layer on the scope stack.
:param callback: If provided, this method pushes a scope, calls
`callback`, and pops the scope again.
:returns: If no `callback` is provided, a context manager that should
be used to pop the scope again.
"""
if callback is not None:
with self.push_scope() as scope:
callback(scope)
return None
client, scope = self._stack[-1]
new_layer = (client, copy.copy(scope))
self._stack.append(new_layer)
return _ScopeManager(self)
def pop_scope_unsafe(self):
# type: () -> Tuple[Optional[Client], Scope]
"""
Pops a scope layer from the stack.
Try to use the context manager :py:meth:`push_scope` instead.
"""
rv = self._stack.pop()
assert self._stack, "stack must have at least one layer"
return rv
@overload
def configure_scope(
self, callback=None # type: Optional[None]
):
# type: (...) -> ContextManager[Scope]
pass
@overload
def configure_scope( # noqa: F811
self, callback # type: Callable[[Scope], None]
):
# type: (...) -> None
pass
def configure_scope( # noqa
self, callback=None # type: Optional[Callable[[Scope], None]]
):
# type: (...) -> Optional[ContextManager[Scope]]
"""
Reconfigures the scope.
:param callback: If provided, call the callback with the current scope.
:returns: If no callback is provided, returns a context manager that returns the scope.
"""
client, scope = self._stack[-1]
if callback is not None:
if client is not None:
callback(scope)
return None
@contextmanager
def inner():
# type: () -> Generator[Scope, None, None]
if client is not None:
yield scope
else:
yield Scope()
return inner()
def start_session(
self, session_mode="application" # type: str
):
# type: (...) -> None
"""Starts a new session."""
self.end_session()
client, scope = self._stack[-1]
scope._session = Session(
release=client.options["release"] if client else None,
environment=client.options["environment"] if client else None,
user=scope._user,
session_mode=session_mode,
)
def end_session(self):
# type: (...) -> None
"""Ends the current session if there is one."""
client, scope = self._stack[-1]
session = scope._session
self.scope._session = None
if session is not None:
session.close()
if client is not None:
client.capture_session(session)
def stop_auto_session_tracking(self):
# type: (...) -> None
"""Stops automatic session tracking.
This temporarily session tracking for the current scope when called.
To resume session tracking call `resume_auto_session_tracking`.
"""
self.end_session()
client, scope = self._stack[-1]
scope._force_auto_session_tracking = False
def resume_auto_session_tracking(self):
# type: (...) -> None
"""Resumes automatic session tracking for the current scope if
disabled earlier. This requires that generally automatic session
tracking is enabled.
"""
client, scope = self._stack[-1]
scope._force_auto_session_tracking = None
def flush(
self,
timeout=None, # type: Optional[float]
callback=None, # type: Optional[Callable[[int, float], None]]
):
# type: (...) -> None
"""
Alias for :py:meth:`sentry_sdk.Client.flush`
"""
client, scope = self._stack[-1]
if client is not None:
return client.flush(timeout=timeout, callback=callback)
def iter_trace_propagation_headers(self, span=None):
# type: (Optional[Span]) -> Generator[Tuple[str, str], None, None]
"""
Return HTTP headers which allow propagation of trace data. Data taken
from the span representing the request, if available, or the current
span on the scope if not.
"""
span = span or self.scope.span
if not span:
return
client = self._stack[-1][0]
propagate_traces = client and client.options["propagate_traces"]
if not propagate_traces:
return
for header in span.iter_headers():
yield header
def trace_propagation_meta(self, span=None):
# type: (Optional[Span]) -> str
"""
Return meta tags which should be injected into the HTML template
to allow propagation of trace data.
"""
meta = ""
for name, content in self.iter_trace_propagation_headers(span):
meta += '<meta name="%s" content="%s">' % (name, content)
return meta
GLOBAL_HUB = Hub()
_local.set(GLOBAL_HUB)
| 23,584 | Python | 30.488651 | 118 | 0.576705 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/worker.py | import os
import threading
from time import sleep, time
from sentry_sdk._compat import check_thread_support
from sentry_sdk._queue import Queue, FullError
from sentry_sdk.utils import logger
from sentry_sdk.consts import DEFAULT_QUEUE_SIZE
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
from typing import Optional
from typing import Callable
_TERMINATOR = object()
class BackgroundWorker(object):
def __init__(self, queue_size=DEFAULT_QUEUE_SIZE):
# type: (int) -> None
check_thread_support()
self._queue = Queue(queue_size) # type: Queue
self._lock = threading.Lock()
self._thread = None # type: Optional[threading.Thread]
self._thread_for_pid = None # type: Optional[int]
@property
def is_alive(self):
# type: () -> bool
if self._thread_for_pid != os.getpid():
return False
if not self._thread:
return False
return self._thread.is_alive()
def _ensure_thread(self):
# type: () -> None
if not self.is_alive:
self.start()
def _timed_queue_join(self, timeout):
# type: (float) -> bool
deadline = time() + timeout
queue = self._queue
queue.all_tasks_done.acquire()
try:
while queue.unfinished_tasks:
delay = deadline - time()
if delay <= 0:
return False
queue.all_tasks_done.wait(timeout=delay)
return True
finally:
queue.all_tasks_done.release()
def start(self):
# type: () -> None
with self._lock:
if not self.is_alive:
self._thread = threading.Thread(
target=self._target, name="raven-sentry.BackgroundWorker"
)
self._thread.daemon = True
self._thread.start()
self._thread_for_pid = os.getpid()
def kill(self):
# type: () -> None
"""
Kill worker thread. Returns immediately. Not useful for
waiting on shutdown for events, use `flush` for that.
"""
logger.debug("background worker got kill request")
with self._lock:
if self._thread:
try:
self._queue.put_nowait(_TERMINATOR)
except FullError:
logger.debug("background worker queue full, kill failed")
self._thread = None
self._thread_for_pid = None
def flush(self, timeout, callback=None):
# type: (float, Optional[Any]) -> None
logger.debug("background worker got flush request")
with self._lock:
if self.is_alive and timeout > 0.0:
self._wait_flush(timeout, callback)
logger.debug("background worker flushed")
def _wait_flush(self, timeout, callback):
# type: (float, Optional[Any]) -> None
initial_timeout = min(0.1, timeout)
if not self._timed_queue_join(initial_timeout):
pending = self._queue.qsize() + 1
logger.debug("%d event(s) pending on flush", pending)
if callback is not None:
callback(pending, timeout)
if not self._timed_queue_join(timeout - initial_timeout):
pending = self._queue.qsize() + 1
logger.error("flush timed out, dropped %s events", pending)
def submit(self, callback):
# type: (Callable[[], None]) -> bool
self._ensure_thread()
try:
self._queue.put_nowait(callback)
return True
except FullError:
return False
def _target(self):
# type: () -> None
while True:
callback = self._queue.get()
try:
if callback is _TERMINATOR:
break
try:
callback()
except Exception:
logger.error("Failed processing job", exc_info=True)
finally:
self._queue.task_done()
sleep(0)
| 4,154 | Python | 30.007462 | 77 | 0.539721 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/asgi.py | """
An ASGI middleware.
Based on Tom Christie's `sentry-asgi <https://github.com/encode/sentry-asgi>`.
"""
import asyncio
import inspect
import urllib
from sentry_sdk._functools import partial
from sentry_sdk._types import MYPY
from sentry_sdk.consts import OP
from sentry_sdk.hub import Hub, _should_send_default_pii
from sentry_sdk.integrations._wsgi_common import _filter_headers
from sentry_sdk.integrations.modules import _get_installed_modules
from sentry_sdk.profiler import start_profiling
from sentry_sdk.sessions import auto_session_tracking
from sentry_sdk.tracing import (
SOURCE_FOR_STYLE,
TRANSACTION_SOURCE_ROUTE,
)
from sentry_sdk.utils import (
ContextVar,
event_from_exception,
HAS_REAL_CONTEXTVARS,
CONTEXTVARS_ERROR_MESSAGE,
logger,
transaction_from_function,
)
from sentry_sdk.tracing import Transaction
if MYPY:
from typing import Dict
from typing import Any
from typing import Optional
from typing import Callable
from typing_extensions import Literal
from sentry_sdk._types import Event, Hint
_asgi_middleware_applied = ContextVar("sentry_asgi_middleware_applied")
_DEFAULT_TRANSACTION_NAME = "generic ASGI request"
TRANSACTION_STYLE_VALUES = ("endpoint", "url")
def _capture_exception(hub, exc, mechanism_type="asgi"):
# type: (Hub, Any, str) -> None
# Check client here as it might have been unset while streaming response
if hub.client is not None:
event, hint = event_from_exception(
exc,
client_options=hub.client.options,
mechanism={"type": mechanism_type, "handled": False},
)
hub.capture_event(event, hint=hint)
def _looks_like_asgi3(app):
# type: (Any) -> bool
"""
Try to figure out if an application object supports ASGI3.
This is how uvicorn figures out the application version as well.
"""
if inspect.isclass(app):
return hasattr(app, "__await__")
elif inspect.isfunction(app):
return asyncio.iscoroutinefunction(app)
else:
call = getattr(app, "__call__", None) # noqa
return asyncio.iscoroutinefunction(call)
class SentryAsgiMiddleware:
__slots__ = ("app", "__call__", "transaction_style", "mechanism_type")
def __init__(
self,
app,
unsafe_context_data=False,
transaction_style="endpoint",
mechanism_type="asgi",
):
# type: (Any, bool, str, str) -> None
"""
Instrument an ASGI application with Sentry. Provides HTTP/websocket
data to sent events and basic handling for exceptions bubbling up
through the middleware.
:param unsafe_context_data: Disable errors when a proper contextvars installation could not be found. We do not recommend changing this from the default.
"""
if not unsafe_context_data and not HAS_REAL_CONTEXTVARS:
# We better have contextvars or we're going to leak state between
# requests.
raise RuntimeError(
"The ASGI middleware for Sentry requires Python 3.7+ "
"or the aiocontextvars package." + CONTEXTVARS_ERROR_MESSAGE
)
if transaction_style not in TRANSACTION_STYLE_VALUES:
raise ValueError(
"Invalid value for transaction_style: %s (must be in %s)"
% (transaction_style, TRANSACTION_STYLE_VALUES)
)
asgi_middleware_while_using_starlette_or_fastapi = (
mechanism_type == "asgi" and "starlette" in _get_installed_modules()
)
if asgi_middleware_while_using_starlette_or_fastapi:
logger.warning(
"The Sentry Python SDK can now automatically support ASGI frameworks like Starlette and FastAPI. "
"Please remove 'SentryAsgiMiddleware' from your project. "
"See https://docs.sentry.io/platforms/python/guides/asgi/ for more information."
)
self.transaction_style = transaction_style
self.mechanism_type = mechanism_type
self.app = app
if _looks_like_asgi3(app):
self.__call__ = self._run_asgi3 # type: Callable[..., Any]
else:
self.__call__ = self._run_asgi2
def _run_asgi2(self, scope):
# type: (Any) -> Any
async def inner(receive, send):
# type: (Any, Any) -> Any
return await self._run_app(scope, lambda: self.app(scope)(receive, send))
return inner
async def _run_asgi3(self, scope, receive, send):
# type: (Any, Any, Any) -> Any
return await self._run_app(scope, lambda: self.app(scope, receive, send))
async def _run_app(self, scope, callback):
# type: (Any, Any) -> Any
is_recursive_asgi_middleware = _asgi_middleware_applied.get(False)
if is_recursive_asgi_middleware:
try:
return await callback()
except Exception as exc:
_capture_exception(Hub.current, exc, mechanism_type=self.mechanism_type)
raise exc from None
_asgi_middleware_applied.set(True)
try:
hub = Hub(Hub.current)
with auto_session_tracking(hub, session_mode="request"):
with hub:
with hub.configure_scope() as sentry_scope:
sentry_scope.clear_breadcrumbs()
sentry_scope._name = "asgi"
processor = partial(self.event_processor, asgi_scope=scope)
sentry_scope.add_event_processor(processor)
ty = scope["type"]
if ty in ("http", "websocket"):
transaction = Transaction.continue_from_headers(
self._get_headers(scope),
op="{}.server".format(ty),
)
else:
transaction = Transaction(op=OP.HTTP_SERVER)
transaction.name = _DEFAULT_TRANSACTION_NAME
transaction.source = TRANSACTION_SOURCE_ROUTE
transaction.set_tag("asgi.type", ty)
with hub.start_transaction(
transaction, custom_sampling_context={"asgi_scope": scope}
), start_profiling(transaction, hub):
# XXX: Would be cool to have correct span status, but we
# would have to wrap send(). That is a bit hard to do with
# the current abstraction over ASGI 2/3.
try:
return await callback()
except Exception as exc:
_capture_exception(
hub, exc, mechanism_type=self.mechanism_type
)
raise exc from None
finally:
_asgi_middleware_applied.set(False)
def event_processor(self, event, hint, asgi_scope):
# type: (Event, Hint, Any) -> Optional[Event]
request_info = event.get("request", {})
ty = asgi_scope["type"]
if ty in ("http", "websocket"):
request_info["method"] = asgi_scope.get("method")
request_info["headers"] = headers = _filter_headers(
self._get_headers(asgi_scope)
)
request_info["query_string"] = self._get_query(asgi_scope)
request_info["url"] = self._get_url(
asgi_scope, "http" if ty == "http" else "ws", headers.get("host")
)
client = asgi_scope.get("client")
if client and _should_send_default_pii():
request_info["env"] = {"REMOTE_ADDR": self._get_ip(asgi_scope)}
self._set_transaction_name_and_source(event, self.transaction_style, asgi_scope)
event["request"] = request_info
return event
# Helper functions for extracting request data.
#
# Note: Those functions are not public API. If you want to mutate request
# data to your liking it's recommended to use the `before_send` callback
# for that.
def _set_transaction_name_and_source(self, event, transaction_style, asgi_scope):
# type: (Event, str, Any) -> None
transaction_name_already_set = (
event.get("transaction", _DEFAULT_TRANSACTION_NAME)
!= _DEFAULT_TRANSACTION_NAME
)
if transaction_name_already_set:
return
name = ""
if transaction_style == "endpoint":
endpoint = asgi_scope.get("endpoint")
# Webframeworks like Starlette mutate the ASGI env once routing is
# done, which is sometime after the request has started. If we have
# an endpoint, overwrite our generic transaction name.
if endpoint:
name = transaction_from_function(endpoint) or ""
elif transaction_style == "url":
# FastAPI includes the route object in the scope to let Sentry extract the
# path from it for the transaction name
route = asgi_scope.get("route")
if route:
path = getattr(route, "path", None)
if path is not None:
name = path
if not name:
event["transaction"] = _DEFAULT_TRANSACTION_NAME
event["transaction_info"] = {"source": TRANSACTION_SOURCE_ROUTE}
return
event["transaction"] = name
event["transaction_info"] = {"source": SOURCE_FOR_STYLE[transaction_style]}
def _get_url(self, scope, default_scheme, host):
# type: (Dict[str, Any], Literal["ws", "http"], Optional[str]) -> str
"""
Extract URL from the ASGI scope, without also including the querystring.
"""
scheme = scope.get("scheme", default_scheme)
server = scope.get("server", None)
path = scope.get("root_path", "") + scope.get("path", "")
if host:
return "%s://%s%s" % (scheme, host, path)
if server is not None:
host, port = server
default_port = {"http": 80, "https": 443, "ws": 80, "wss": 443}[scheme]
if port != default_port:
return "%s://%s:%s%s" % (scheme, host, port, path)
return "%s://%s%s" % (scheme, host, path)
return path
def _get_query(self, scope):
# type: (Any) -> Any
"""
Extract querystring from the ASGI scope, in the format that the Sentry protocol expects.
"""
qs = scope.get("query_string")
if not qs:
return None
return urllib.parse.unquote(qs.decode("latin-1"))
def _get_ip(self, scope):
# type: (Any) -> str
"""
Extract IP Address from the ASGI scope based on request headers with fallback to scope client.
"""
headers = self._get_headers(scope)
try:
return headers["x-forwarded-for"].split(",")[0].strip()
except (KeyError, IndexError):
pass
try:
return headers["x-real-ip"]
except KeyError:
pass
return scope.get("client")[0]
def _get_headers(self, scope):
# type: (Any) -> Dict[str, str]
"""
Extract headers from the ASGI scope, in the format that the Sentry protocol expects.
"""
headers = {} # type: Dict[str, str]
for raw_key, raw_value in scope["headers"]:
key = raw_key.decode("latin-1")
value = raw_value.decode("latin-1")
if key in headers:
headers[key] = headers[key] + ", " + value
else:
headers[key] = value
return headers
| 11,827 | Python | 35.506173 | 161 | 0.572673 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/pyramid.py | from __future__ import absolute_import
import os
import sys
import weakref
from sentry_sdk.hub import Hub, _should_send_default_pii
from sentry_sdk.scope import Scope
from sentry_sdk.tracing import SOURCE_FOR_STYLE
from sentry_sdk.utils import (
capture_internal_exceptions,
event_from_exception,
)
from sentry_sdk._compat import reraise, iteritems
from sentry_sdk.integrations import Integration, DidNotEnable
from sentry_sdk.integrations._wsgi_common import RequestExtractor
from sentry_sdk.integrations.wsgi import SentryWsgiMiddleware
try:
from pyramid.httpexceptions import HTTPException
from pyramid.request import Request
except ImportError:
raise DidNotEnable("Pyramid not installed")
from sentry_sdk._types import MYPY
if MYPY:
from pyramid.response import Response
from typing import Any
from sentry_sdk.integrations.wsgi import _ScopedResponse
from typing import Callable
from typing import Dict
from typing import Optional
from webob.cookies import RequestCookies # type: ignore
from webob.compat import cgi_FieldStorage # type: ignore
from sentry_sdk.utils import ExcInfo
from sentry_sdk._types import EventProcessor
if getattr(Request, "authenticated_userid", None):
def authenticated_userid(request):
# type: (Request) -> Optional[Any]
return request.authenticated_userid
else:
# bw-compat for pyramid < 1.5
from pyramid.security import authenticated_userid # type: ignore
TRANSACTION_STYLE_VALUES = ("route_name", "route_pattern")
class PyramidIntegration(Integration):
identifier = "pyramid"
transaction_style = ""
def __init__(self, transaction_style="route_name"):
# type: (str) -> None
if transaction_style not in TRANSACTION_STYLE_VALUES:
raise ValueError(
"Invalid value for transaction_style: %s (must be in %s)"
% (transaction_style, TRANSACTION_STYLE_VALUES)
)
self.transaction_style = transaction_style
@staticmethod
def setup_once():
# type: () -> None
from pyramid import router
old_call_view = router._call_view
def sentry_patched_call_view(registry, request, *args, **kwargs):
# type: (Any, Request, *Any, **Any) -> Response
hub = Hub.current
integration = hub.get_integration(PyramidIntegration)
if integration is not None:
with hub.configure_scope() as scope:
_set_transaction_name_and_source(
scope, integration.transaction_style, request
)
scope.add_event_processor(
_make_event_processor(weakref.ref(request), integration)
)
return old_call_view(registry, request, *args, **kwargs)
router._call_view = sentry_patched_call_view
if hasattr(Request, "invoke_exception_view"):
old_invoke_exception_view = Request.invoke_exception_view
def sentry_patched_invoke_exception_view(self, *args, **kwargs):
# type: (Request, *Any, **Any) -> Any
rv = old_invoke_exception_view(self, *args, **kwargs)
if (
self.exc_info
and all(self.exc_info)
and rv.status_int == 500
and Hub.current.get_integration(PyramidIntegration) is not None
):
_capture_exception(self.exc_info)
return rv
Request.invoke_exception_view = sentry_patched_invoke_exception_view
old_wsgi_call = router.Router.__call__
def sentry_patched_wsgi_call(self, environ, start_response):
# type: (Any, Dict[str, str], Callable[..., Any]) -> _ScopedResponse
hub = Hub.current
integration = hub.get_integration(PyramidIntegration)
if integration is None:
return old_wsgi_call(self, environ, start_response)
def sentry_patched_inner_wsgi_call(environ, start_response):
# type: (Dict[str, Any], Callable[..., Any]) -> Any
try:
return old_wsgi_call(self, environ, start_response)
except Exception:
einfo = sys.exc_info()
_capture_exception(einfo)
reraise(*einfo)
return SentryWsgiMiddleware(sentry_patched_inner_wsgi_call)(
environ, start_response
)
router.Router.__call__ = sentry_patched_wsgi_call
def _capture_exception(exc_info):
# type: (ExcInfo) -> None
if exc_info[0] is None or issubclass(exc_info[0], HTTPException):
return
hub = Hub.current
if hub.get_integration(PyramidIntegration) is None:
return
# If an integration is there, a client has to be there.
client = hub.client # type: Any
event, hint = event_from_exception(
exc_info,
client_options=client.options,
mechanism={"type": "pyramid", "handled": False},
)
hub.capture_event(event, hint=hint)
def _set_transaction_name_and_source(scope, transaction_style, request):
# type: (Scope, str, Request) -> None
try:
name_for_style = {
"route_name": request.matched_route.name,
"route_pattern": request.matched_route.pattern,
}
scope.set_transaction_name(
name_for_style[transaction_style],
source=SOURCE_FOR_STYLE[transaction_style],
)
except Exception:
pass
class PyramidRequestExtractor(RequestExtractor):
def url(self):
# type: () -> str
return self.request.path_url
def env(self):
# type: () -> Dict[str, str]
return self.request.environ
def cookies(self):
# type: () -> RequestCookies
return self.request.cookies
def raw_data(self):
# type: () -> str
return self.request.text
def form(self):
# type: () -> Dict[str, str]
return {
key: value
for key, value in iteritems(self.request.POST)
if not getattr(value, "filename", None)
}
def files(self):
# type: () -> Dict[str, cgi_FieldStorage]
return {
key: value
for key, value in iteritems(self.request.POST)
if getattr(value, "filename", None)
}
def size_of_file(self, postdata):
# type: (cgi_FieldStorage) -> int
file = postdata.file
try:
return os.fstat(file.fileno()).st_size
except Exception:
return 0
def _make_event_processor(weak_request, integration):
# type: (Callable[[], Request], PyramidIntegration) -> EventProcessor
def event_processor(event, hint):
# type: (Dict[str, Any], Dict[str, Any]) -> Dict[str, Any]
request = weak_request()
if request is None:
return event
with capture_internal_exceptions():
PyramidRequestExtractor(request).extract_into_event(event)
if _should_send_default_pii():
with capture_internal_exceptions():
user_info = event.setdefault("user", {})
user_info.setdefault("id", authenticated_userid(request))
return event
return event_processor
| 7,424 | Python | 30.595745 | 83 | 0.603314 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/gnu_backtrace.py | import re
from sentry_sdk.hub import Hub
from sentry_sdk.integrations import Integration
from sentry_sdk.scope import add_global_event_processor
from sentry_sdk.utils import capture_internal_exceptions
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
from typing import Dict
MODULE_RE = r"[a-zA-Z0-9/._:\\-]+"
TYPE_RE = r"[a-zA-Z0-9._:<>,-]+"
HEXVAL_RE = r"[A-Fa-f0-9]+"
FRAME_RE = r"""
^(?P<index>\d+)\.\s
(?P<package>{MODULE_RE})\(
(?P<retval>{TYPE_RE}\ )?
((?P<function>{TYPE_RE})
(?P<args>\(.*\))?
)?
((?P<constoffset>\ const)?\+0x(?P<offset>{HEXVAL_RE}))?
\)\s
\[0x(?P<retaddr>{HEXVAL_RE})\]$
""".format(
MODULE_RE=MODULE_RE, HEXVAL_RE=HEXVAL_RE, TYPE_RE=TYPE_RE
)
FRAME_RE = re.compile(FRAME_RE, re.MULTILINE | re.VERBOSE)
class GnuBacktraceIntegration(Integration):
identifier = "gnu_backtrace"
@staticmethod
def setup_once():
# type: () -> None
@add_global_event_processor
def process_gnu_backtrace(event, hint):
# type: (Dict[str, Any], Dict[str, Any]) -> Dict[str, Any]
with capture_internal_exceptions():
return _process_gnu_backtrace(event, hint)
def _process_gnu_backtrace(event, hint):
# type: (Dict[str, Any], Dict[str, Any]) -> Dict[str, Any]
if Hub.current.get_integration(GnuBacktraceIntegration) is None:
return event
exc_info = hint.get("exc_info", None)
if exc_info is None:
return event
exception = event.get("exception", None)
if exception is None:
return event
values = exception.get("values", None)
if values is None:
return event
for exception in values:
frames = exception.get("stacktrace", {}).get("frames", [])
if not frames:
continue
msg = exception.get("value", None)
if not msg:
continue
additional_frames = []
new_msg = []
for line in msg.splitlines():
match = FRAME_RE.match(line)
if match:
additional_frames.append(
(
int(match.group("index")),
{
"package": match.group("package") or None,
"function": match.group("function") or None,
"platform": "native",
},
)
)
else:
# Put garbage lines back into message, not sure what to do with them.
new_msg.append(line)
if additional_frames:
additional_frames.sort(key=lambda x: -x[0])
for _, frame in additional_frames:
frames.append(frame)
new_msg.append("<stacktrace parsed and removed by GnuBacktraceIntegration>")
exception["value"] = "\n".join(new_msg)
return event
| 2,912 | Python | 25.972222 | 88 | 0.550824 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/argv.py | from __future__ import absolute_import
import sys
from sentry_sdk.hub import Hub
from sentry_sdk.integrations import Integration
from sentry_sdk.scope import add_global_event_processor
from sentry_sdk._types import MYPY
if MYPY:
from typing import Optional
from sentry_sdk._types import Event, Hint
class ArgvIntegration(Integration):
identifier = "argv"
@staticmethod
def setup_once():
# type: () -> None
@add_global_event_processor
def processor(event, hint):
# type: (Event, Optional[Hint]) -> Optional[Event]
if Hub.current.get_integration(ArgvIntegration) is not None:
extra = event.setdefault("extra", {})
# If some event processor decided to set extra to e.g. an
# `int`, don't crash. Not here.
if isinstance(extra, dict):
extra["sys.argv"] = sys.argv
return event
| 945 | Python | 26.823529 | 73 | 0.621164 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/wsgi.py | import sys
from sentry_sdk._functools import partial
from sentry_sdk.consts import OP
from sentry_sdk.hub import Hub, _should_send_default_pii
from sentry_sdk.utils import (
ContextVar,
capture_internal_exceptions,
event_from_exception,
)
from sentry_sdk._compat import PY2, reraise, iteritems
from sentry_sdk.tracing import Transaction, TRANSACTION_SOURCE_ROUTE
from sentry_sdk.sessions import auto_session_tracking
from sentry_sdk.integrations._wsgi_common import _filter_headers
from sentry_sdk.profiler import start_profiling
from sentry_sdk._types import MYPY
if MYPY:
from typing import Callable
from typing import Dict
from typing import Iterator
from typing import Any
from typing import Tuple
from typing import Optional
from typing import TypeVar
from typing import Protocol
from sentry_sdk.utils import ExcInfo
from sentry_sdk._types import EventProcessor
WsgiResponseIter = TypeVar("WsgiResponseIter")
WsgiResponseHeaders = TypeVar("WsgiResponseHeaders")
WsgiExcInfo = TypeVar("WsgiExcInfo")
class StartResponse(Protocol):
def __call__(self, status, response_headers, exc_info=None):
# type: (str, WsgiResponseHeaders, Optional[WsgiExcInfo]) -> WsgiResponseIter
pass
_wsgi_middleware_applied = ContextVar("sentry_wsgi_middleware_applied")
if PY2:
def wsgi_decoding_dance(s, charset="utf-8", errors="replace"):
# type: (str, str, str) -> str
return s.decode(charset, errors)
else:
def wsgi_decoding_dance(s, charset="utf-8", errors="replace"):
# type: (str, str, str) -> str
return s.encode("latin1").decode(charset, errors)
def get_host(environ, use_x_forwarded_for=False):
# type: (Dict[str, str], bool) -> str
"""Return the host for the given WSGI environment. Yanked from Werkzeug."""
if use_x_forwarded_for and "HTTP_X_FORWARDED_HOST" in environ:
rv = environ["HTTP_X_FORWARDED_HOST"]
if environ["wsgi.url_scheme"] == "http" and rv.endswith(":80"):
rv = rv[:-3]
elif environ["wsgi.url_scheme"] == "https" and rv.endswith(":443"):
rv = rv[:-4]
elif environ.get("HTTP_HOST"):
rv = environ["HTTP_HOST"]
if environ["wsgi.url_scheme"] == "http" and rv.endswith(":80"):
rv = rv[:-3]
elif environ["wsgi.url_scheme"] == "https" and rv.endswith(":443"):
rv = rv[:-4]
elif environ.get("SERVER_NAME"):
rv = environ["SERVER_NAME"]
if (environ["wsgi.url_scheme"], environ["SERVER_PORT"]) not in (
("https", "443"),
("http", "80"),
):
rv += ":" + environ["SERVER_PORT"]
else:
# In spite of the WSGI spec, SERVER_NAME might not be present.
rv = "unknown"
return rv
def get_request_url(environ, use_x_forwarded_for=False):
# type: (Dict[str, str], bool) -> str
"""Return the absolute URL without query string for the given WSGI
environment."""
return "%s://%s/%s" % (
environ.get("wsgi.url_scheme"),
get_host(environ, use_x_forwarded_for),
wsgi_decoding_dance(environ.get("PATH_INFO") or "").lstrip("/"),
)
class SentryWsgiMiddleware(object):
__slots__ = ("app", "use_x_forwarded_for")
def __init__(self, app, use_x_forwarded_for=False):
# type: (Callable[[Dict[str, str], Callable[..., Any]], Any], bool) -> None
self.app = app
self.use_x_forwarded_for = use_x_forwarded_for
def __call__(self, environ, start_response):
# type: (Dict[str, str], Callable[..., Any]) -> _ScopedResponse
if _wsgi_middleware_applied.get(False):
return self.app(environ, start_response)
_wsgi_middleware_applied.set(True)
try:
hub = Hub(Hub.current)
with auto_session_tracking(hub, session_mode="request"):
with hub:
with capture_internal_exceptions():
with hub.configure_scope() as scope:
scope.clear_breadcrumbs()
scope._name = "wsgi"
scope.add_event_processor(
_make_wsgi_event_processor(
environ, self.use_x_forwarded_for
)
)
transaction = Transaction.continue_from_environ(
environ,
op=OP.HTTP_SERVER,
name="generic WSGI request",
source=TRANSACTION_SOURCE_ROUTE,
)
with hub.start_transaction(
transaction, custom_sampling_context={"wsgi_environ": environ}
), start_profiling(transaction, hub):
try:
rv = self.app(
environ,
partial(
_sentry_start_response, start_response, transaction
),
)
except BaseException:
reraise(*_capture_exception(hub))
finally:
_wsgi_middleware_applied.set(False)
return _ScopedResponse(hub, rv)
def _sentry_start_response(
old_start_response, # type: StartResponse
transaction, # type: Transaction
status, # type: str
response_headers, # type: WsgiResponseHeaders
exc_info=None, # type: Optional[WsgiExcInfo]
):
# type: (...) -> WsgiResponseIter
with capture_internal_exceptions():
status_int = int(status.split(" ", 1)[0])
transaction.set_http_status(status_int)
if exc_info is None:
# The Django Rest Framework WSGI test client, and likely other
# (incorrect) implementations, cannot deal with the exc_info argument
# if one is present. Avoid providing a third argument if not necessary.
return old_start_response(status, response_headers)
else:
return old_start_response(status, response_headers, exc_info)
def _get_environ(environ):
# type: (Dict[str, str]) -> Iterator[Tuple[str, str]]
"""
Returns our explicitly included environment variables we want to
capture (server name, port and remote addr if pii is enabled).
"""
keys = ["SERVER_NAME", "SERVER_PORT"]
if _should_send_default_pii():
# make debugging of proxy setup easier. Proxy headers are
# in headers.
keys += ["REMOTE_ADDR"]
for key in keys:
if key in environ:
yield key, environ[key]
# `get_headers` comes from `werkzeug.datastructures.EnvironHeaders`
#
# We need this function because Django does not give us a "pure" http header
# dict. So we might as well use it for all WSGI integrations.
def _get_headers(environ):
# type: (Dict[str, str]) -> Iterator[Tuple[str, str]]
"""
Returns only proper HTTP headers.
"""
for key, value in iteritems(environ):
key = str(key)
if key.startswith("HTTP_") and key not in (
"HTTP_CONTENT_TYPE",
"HTTP_CONTENT_LENGTH",
):
yield key[5:].replace("_", "-").title(), value
elif key in ("CONTENT_TYPE", "CONTENT_LENGTH"):
yield key.replace("_", "-").title(), value
def get_client_ip(environ):
# type: (Dict[str, str]) -> Optional[Any]
"""
Infer the user IP address from various headers. This cannot be used in
security sensitive situations since the value may be forged from a client,
but it's good enough for the event payload.
"""
try:
return environ["HTTP_X_FORWARDED_FOR"].split(",")[0].strip()
except (KeyError, IndexError):
pass
try:
return environ["HTTP_X_REAL_IP"]
except KeyError:
pass
return environ.get("REMOTE_ADDR")
def _capture_exception(hub):
# type: (Hub) -> ExcInfo
exc_info = sys.exc_info()
# Check client here as it might have been unset while streaming response
if hub.client is not None:
e = exc_info[1]
# SystemExit(0) is the only uncaught exception that is expected behavior
should_skip_capture = isinstance(e, SystemExit) and e.code in (0, None)
if not should_skip_capture:
event, hint = event_from_exception(
exc_info,
client_options=hub.client.options,
mechanism={"type": "wsgi", "handled": False},
)
hub.capture_event(event, hint=hint)
return exc_info
class _ScopedResponse(object):
__slots__ = ("_response", "_hub")
def __init__(self, hub, response):
# type: (Hub, Iterator[bytes]) -> None
self._hub = hub
self._response = response
def __iter__(self):
# type: () -> Iterator[bytes]
iterator = iter(self._response)
while True:
with self._hub:
try:
chunk = next(iterator)
except StopIteration:
break
except BaseException:
reraise(*_capture_exception(self._hub))
yield chunk
def close(self):
# type: () -> None
with self._hub:
try:
self._response.close() # type: ignore
except AttributeError:
pass
except BaseException:
reraise(*_capture_exception(self._hub))
def _make_wsgi_event_processor(environ, use_x_forwarded_for):
# type: (Dict[str, str], bool) -> EventProcessor
# It's a bit unfortunate that we have to extract and parse the request data
# from the environ so eagerly, but there are a few good reasons for this.
#
# We might be in a situation where the scope/hub never gets torn down
# properly. In that case we will have an unnecessary strong reference to
# all objects in the environ (some of which may take a lot of memory) when
# we're really just interested in a few of them.
#
# Keeping the environment around for longer than the request lifecycle is
# also not necessarily something uWSGI can deal with:
# https://github.com/unbit/uwsgi/issues/1950
client_ip = get_client_ip(environ)
request_url = get_request_url(environ, use_x_forwarded_for)
query_string = environ.get("QUERY_STRING")
method = environ.get("REQUEST_METHOD")
env = dict(_get_environ(environ))
headers = _filter_headers(dict(_get_headers(environ)))
def event_processor(event, hint):
# type: (Dict[str, Any], Dict[str, Any]) -> Dict[str, Any]
with capture_internal_exceptions():
# if the code below fails halfway through we at least have some data
request_info = event.setdefault("request", {})
if _should_send_default_pii():
user_info = event.setdefault("user", {})
if client_ip:
user_info.setdefault("ip_address", client_ip)
request_info["url"] = request_url
request_info["query_string"] = query_string
request_info["method"] = method
request_info["env"] = env
request_info["headers"] = headers
return event
return event_processor
| 11,397 | Python | 33.96319 | 89 | 0.583224 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/aiohttp.py | import sys
import weakref
from sentry_sdk._compat import reraise
from sentry_sdk.consts import OP
from sentry_sdk.hub import Hub
from sentry_sdk.integrations import Integration, DidNotEnable
from sentry_sdk.integrations.logging import ignore_logger
from sentry_sdk.sessions import auto_session_tracking
from sentry_sdk.integrations._wsgi_common import (
_filter_headers,
request_body_within_bounds,
)
from sentry_sdk.tracing import SOURCE_FOR_STYLE, Transaction, TRANSACTION_SOURCE_ROUTE
from sentry_sdk.utils import (
capture_internal_exceptions,
event_from_exception,
transaction_from_function,
HAS_REAL_CONTEXTVARS,
CONTEXTVARS_ERROR_MESSAGE,
AnnotatedValue,
)
try:
import asyncio
from aiohttp import __version__ as AIOHTTP_VERSION
from aiohttp.web import Application, HTTPException, UrlDispatcher
except ImportError:
raise DidNotEnable("AIOHTTP not installed")
from sentry_sdk._types import MYPY
if MYPY:
from aiohttp.web_request import Request
from aiohttp.abc import AbstractMatchInfo
from typing import Any
from typing import Dict
from typing import Optional
from typing import Tuple
from typing import Callable
from typing import Union
from sentry_sdk.utils import ExcInfo
from sentry_sdk._types import EventProcessor
TRANSACTION_STYLE_VALUES = ("handler_name", "method_and_path_pattern")
class AioHttpIntegration(Integration):
identifier = "aiohttp"
def __init__(self, transaction_style="handler_name"):
# type: (str) -> None
if transaction_style not in TRANSACTION_STYLE_VALUES:
raise ValueError(
"Invalid value for transaction_style: %s (must be in %s)"
% (transaction_style, TRANSACTION_STYLE_VALUES)
)
self.transaction_style = transaction_style
@staticmethod
def setup_once():
# type: () -> None
try:
version = tuple(map(int, AIOHTTP_VERSION.split(".")[:2]))
except (TypeError, ValueError):
raise DidNotEnable("AIOHTTP version unparsable: {}".format(AIOHTTP_VERSION))
if version < (3, 4):
raise DidNotEnable("AIOHTTP 3.4 or newer required.")
if not HAS_REAL_CONTEXTVARS:
# We better have contextvars or we're going to leak state between
# requests.
raise DidNotEnable(
"The aiohttp integration for Sentry requires Python 3.7+ "
" or aiocontextvars package." + CONTEXTVARS_ERROR_MESSAGE
)
ignore_logger("aiohttp.server")
old_handle = Application._handle
async def sentry_app_handle(self, request, *args, **kwargs):
# type: (Any, Request, *Any, **Any) -> Any
hub = Hub.current
if hub.get_integration(AioHttpIntegration) is None:
return await old_handle(self, request, *args, **kwargs)
weak_request = weakref.ref(request)
with Hub(hub) as hub:
with auto_session_tracking(hub, session_mode="request"):
# Scope data will not leak between requests because aiohttp
# create a task to wrap each request.
with hub.configure_scope() as scope:
scope.clear_breadcrumbs()
scope.add_event_processor(_make_request_processor(weak_request))
transaction = Transaction.continue_from_headers(
request.headers,
op=OP.HTTP_SERVER,
# If this transaction name makes it to the UI, AIOHTTP's
# URL resolver did not find a route or died trying.
name="generic AIOHTTP request",
source=TRANSACTION_SOURCE_ROUTE,
)
with hub.start_transaction(
transaction,
custom_sampling_context={"aiohttp_request": request},
):
try:
response = await old_handle(self, request)
except HTTPException as e:
transaction.set_http_status(e.status_code)
raise
except (asyncio.CancelledError, ConnectionResetError):
transaction.set_status("cancelled")
raise
except Exception:
# This will probably map to a 500 but seems like we
# have no way to tell. Do not set span status.
reraise(*_capture_exception(hub))
transaction.set_http_status(response.status)
return response
Application._handle = sentry_app_handle
old_urldispatcher_resolve = UrlDispatcher.resolve
async def sentry_urldispatcher_resolve(self, request):
# type: (UrlDispatcher, Request) -> AbstractMatchInfo
rv = await old_urldispatcher_resolve(self, request)
hub = Hub.current
integration = hub.get_integration(AioHttpIntegration)
name = None
try:
if integration.transaction_style == "handler_name":
name = transaction_from_function(rv.handler)
elif integration.transaction_style == "method_and_path_pattern":
route_info = rv.get_info()
pattern = route_info.get("path") or route_info.get("formatter")
name = "{} {}".format(request.method, pattern)
except Exception:
pass
if name is not None:
with Hub.current.configure_scope() as scope:
scope.set_transaction_name(
name,
source=SOURCE_FOR_STYLE[integration.transaction_style],
)
return rv
UrlDispatcher.resolve = sentry_urldispatcher_resolve
def _make_request_processor(weak_request):
# type: (Callable[[], Request]) -> EventProcessor
def aiohttp_processor(
event, # type: Dict[str, Any]
hint, # type: Dict[str, Tuple[type, BaseException, Any]]
):
# type: (...) -> Dict[str, Any]
request = weak_request()
if request is None:
return event
with capture_internal_exceptions():
request_info = event.setdefault("request", {})
request_info["url"] = "%s://%s%s" % (
request.scheme,
request.host,
request.path,
)
request_info["query_string"] = request.query_string
request_info["method"] = request.method
request_info["env"] = {"REMOTE_ADDR": request.remote}
hub = Hub.current
request_info["headers"] = _filter_headers(dict(request.headers))
# Just attach raw data here if it is within bounds, if available.
# Unfortunately there's no way to get structured data from aiohttp
# without awaiting on some coroutine.
request_info["data"] = get_aiohttp_request_data(hub, request)
return event
return aiohttp_processor
def _capture_exception(hub):
# type: (Hub) -> ExcInfo
exc_info = sys.exc_info()
event, hint = event_from_exception(
exc_info,
client_options=hub.client.options, # type: ignore
mechanism={"type": "aiohttp", "handled": False},
)
hub.capture_event(event, hint=hint)
return exc_info
BODY_NOT_READ_MESSAGE = "[Can't show request body due to implementation details.]"
def get_aiohttp_request_data(hub, request):
# type: (Hub, Request) -> Union[Optional[str], AnnotatedValue]
bytes_body = request._read_bytes
if bytes_body is not None:
# we have body to show
if not request_body_within_bounds(hub.client, len(bytes_body)):
return AnnotatedValue.removed_because_over_size_limit()
encoding = request.charset or "utf-8"
return bytes_body.decode(encoding, "replace")
if request.can_read_body:
# body exists but we can't show it
return BODY_NOT_READ_MESSAGE
# request has no body
return None
| 8,393 | Python | 34.567796 | 88 | 0.583939 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/sqlalchemy.py | from __future__ import absolute_import
import re
from sentry_sdk._types import MYPY
from sentry_sdk.hub import Hub
from sentry_sdk.integrations import Integration, DidNotEnable
from sentry_sdk.tracing_utils import record_sql_queries
try:
from sqlalchemy.engine import Engine # type: ignore
from sqlalchemy.event import listen # type: ignore
from sqlalchemy import __version__ as SQLALCHEMY_VERSION # type: ignore
except ImportError:
raise DidNotEnable("SQLAlchemy not installed.")
if MYPY:
from typing import Any
from typing import ContextManager
from typing import Optional
from sentry_sdk.tracing import Span
class SqlalchemyIntegration(Integration):
identifier = "sqlalchemy"
@staticmethod
def setup_once():
# type: () -> None
try:
version = tuple(
map(int, re.split("b|rc", SQLALCHEMY_VERSION)[0].split("."))
)
except (TypeError, ValueError):
raise DidNotEnable(
"Unparsable SQLAlchemy version: {}".format(SQLALCHEMY_VERSION)
)
if version < (1, 2):
raise DidNotEnable("SQLAlchemy 1.2 or newer required.")
listen(Engine, "before_cursor_execute", _before_cursor_execute)
listen(Engine, "after_cursor_execute", _after_cursor_execute)
listen(Engine, "handle_error", _handle_error)
def _before_cursor_execute(
conn, cursor, statement, parameters, context, executemany, *args
):
# type: (Any, Any, Any, Any, Any, bool, *Any) -> None
hub = Hub.current
if hub.get_integration(SqlalchemyIntegration) is None:
return
ctx_mgr = record_sql_queries(
hub,
cursor,
statement,
parameters,
paramstyle=context and context.dialect and context.dialect.paramstyle or None,
executemany=executemany,
)
context._sentry_sql_span_manager = ctx_mgr
span = ctx_mgr.__enter__()
if span is not None:
context._sentry_sql_span = span
def _after_cursor_execute(conn, cursor, statement, parameters, context, *args):
# type: (Any, Any, Any, Any, Any, *Any) -> None
ctx_mgr = getattr(
context, "_sentry_sql_span_manager", None
) # type: Optional[ContextManager[Any]]
if ctx_mgr is not None:
context._sentry_sql_span_manager = None
ctx_mgr.__exit__(None, None, None)
def _handle_error(context, *args):
# type: (Any, *Any) -> None
execution_context = context.execution_context
if execution_context is None:
return
span = getattr(execution_context, "_sentry_sql_span", None) # type: Optional[Span]
if span is not None:
span.set_status("internal_error")
# _after_cursor_execute does not get called for crashing SQL stmts. Judging
# from SQLAlchemy codebase it does seem like any error coming into this
# handler is going to be fatal.
ctx_mgr = getattr(
execution_context, "_sentry_sql_span_manager", None
) # type: Optional[ContextManager[Any]]
if ctx_mgr is not None:
execution_context._sentry_sql_span_manager = None
ctx_mgr.__exit__(None, None, None)
| 3,165 | Python | 29.152381 | 87 | 0.649605 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/pymongo.py | from __future__ import absolute_import
import copy
from sentry_sdk import Hub
from sentry_sdk.hub import _should_send_default_pii
from sentry_sdk.integrations import DidNotEnable, Integration
from sentry_sdk.tracing import Span
from sentry_sdk.utils import capture_internal_exceptions
from sentry_sdk._types import MYPY
try:
from pymongo import monitoring
except ImportError:
raise DidNotEnable("Pymongo not installed")
if MYPY:
from typing import Any, Dict, Union
from pymongo.monitoring import (
CommandFailedEvent,
CommandStartedEvent,
CommandSucceededEvent,
)
SAFE_COMMAND_ATTRIBUTES = [
"insert",
"ordered",
"find",
"limit",
"singleBatch",
"aggregate",
"createIndexes",
"indexes",
"delete",
"findAndModify",
"renameCollection",
"to",
"drop",
]
def _strip_pii(command):
# type: (Dict[str, Any]) -> Dict[str, Any]
for key in command:
is_safe_field = key in SAFE_COMMAND_ATTRIBUTES
if is_safe_field:
# Skip if safe key
continue
update_db_command = key == "update" and "findAndModify" not in command
if update_db_command:
# Also skip "update" db command because it is save.
# There is also an "update" key in the "findAndModify" command, which is NOT safe!
continue
# Special stripping for documents
is_document = key == "documents"
if is_document:
for doc in command[key]:
for doc_key in doc:
doc[doc_key] = "%s"
continue
# Special stripping for dict style fields
is_dict_field = key in ["filter", "query", "update"]
if is_dict_field:
for item_key in command[key]:
command[key][item_key] = "%s"
continue
# For pipeline fields strip the `$match` dict
is_pipeline_field = key == "pipeline"
if is_pipeline_field:
for pipeline in command[key]:
for match_key in pipeline["$match"] if "$match" in pipeline else []:
pipeline["$match"][match_key] = "%s"
continue
# Default stripping
command[key] = "%s"
return command
class CommandTracer(monitoring.CommandListener):
def __init__(self):
# type: () -> None
self._ongoing_operations = {} # type: Dict[int, Span]
def _operation_key(self, event):
# type: (Union[CommandFailedEvent, CommandStartedEvent, CommandSucceededEvent]) -> int
return event.request_id
def started(self, event):
# type: (CommandStartedEvent) -> None
hub = Hub.current
if hub.get_integration(PyMongoIntegration) is None:
return
with capture_internal_exceptions():
command = dict(copy.deepcopy(event.command))
command.pop("$db", None)
command.pop("$clusterTime", None)
command.pop("$signature", None)
op = "db.query"
tags = {
"db.name": event.database_name,
"db.system": "mongodb",
"db.operation": event.command_name,
}
try:
tags["net.peer.name"] = event.connection_id[0]
tags["net.peer.port"] = str(event.connection_id[1])
except TypeError:
pass
data = {"operation_ids": {}} # type: Dict[str, Dict[str, Any]]
data["operation_ids"]["operation"] = event.operation_id
data["operation_ids"]["request"] = event.request_id
try:
lsid = command.pop("lsid")["id"]
data["operation_ids"]["session"] = str(lsid)
except KeyError:
pass
if not _should_send_default_pii():
command = _strip_pii(command)
query = "{} {}".format(event.command_name, command)
span = hub.start_span(op=op, description=query)
for tag, value in tags.items():
span.set_tag(tag, value)
for key, value in data.items():
span.set_data(key, value)
with capture_internal_exceptions():
hub.add_breadcrumb(message=query, category="query", type=op, data=tags)
self._ongoing_operations[self._operation_key(event)] = span.__enter__()
def failed(self, event):
# type: (CommandFailedEvent) -> None
hub = Hub.current
if hub.get_integration(PyMongoIntegration) is None:
return
try:
span = self._ongoing_operations.pop(self._operation_key(event))
span.set_status("internal_error")
span.__exit__(None, None, None)
except KeyError:
return
def succeeded(self, event):
# type: (CommandSucceededEvent) -> None
hub = Hub.current
if hub.get_integration(PyMongoIntegration) is None:
return
try:
span = self._ongoing_operations.pop(self._operation_key(event))
span.set_status("ok")
span.__exit__(None, None, None)
except KeyError:
pass
class PyMongoIntegration(Integration):
identifier = "pymongo"
@staticmethod
def setup_once():
# type: () -> None
monitoring.register(CommandTracer())
| 5,404 | Python | 28.375 | 94 | 0.563101 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/gcp.py | from datetime import datetime, timedelta
from os import environ
import sys
from sentry_sdk.consts import OP
from sentry_sdk.hub import Hub, _should_send_default_pii
from sentry_sdk.tracing import TRANSACTION_SOURCE_COMPONENT, Transaction
from sentry_sdk._compat import reraise
from sentry_sdk.utils import (
AnnotatedValue,
capture_internal_exceptions,
event_from_exception,
logger,
TimeoutThread,
)
from sentry_sdk.integrations import Integration
from sentry_sdk.integrations._wsgi_common import _filter_headers
from sentry_sdk._types import MYPY
# Constants
TIMEOUT_WARNING_BUFFER = 1.5 # Buffer time required to send timeout warning to Sentry
MILLIS_TO_SECONDS = 1000.0
if MYPY:
from typing import Any
from typing import TypeVar
from typing import Callable
from typing import Optional
from sentry_sdk._types import EventProcessor, Event, Hint
F = TypeVar("F", bound=Callable[..., Any])
def _wrap_func(func):
# type: (F) -> F
def sentry_func(functionhandler, gcp_event, *args, **kwargs):
# type: (Any, Any, *Any, **Any) -> Any
hub = Hub.current
integration = hub.get_integration(GcpIntegration)
if integration is None:
return func(functionhandler, gcp_event, *args, **kwargs)
# If an integration is there, a client has to be there.
client = hub.client # type: Any
configured_time = environ.get("FUNCTION_TIMEOUT_SEC")
if not configured_time:
logger.debug(
"The configured timeout could not be fetched from Cloud Functions configuration."
)
return func(functionhandler, gcp_event, *args, **kwargs)
configured_time = int(configured_time)
initial_time = datetime.utcnow()
with hub.push_scope() as scope:
with capture_internal_exceptions():
scope.clear_breadcrumbs()
scope.add_event_processor(
_make_request_event_processor(
gcp_event, configured_time, initial_time
)
)
scope.set_tag("gcp_region", environ.get("FUNCTION_REGION"))
timeout_thread = None
if (
integration.timeout_warning
and configured_time > TIMEOUT_WARNING_BUFFER
):
waiting_time = configured_time - TIMEOUT_WARNING_BUFFER
timeout_thread = TimeoutThread(waiting_time, configured_time)
# Starting the thread to raise timeout warning exception
timeout_thread.start()
headers = {}
if hasattr(gcp_event, "headers"):
headers = gcp_event.headers
transaction = Transaction.continue_from_headers(
headers,
op=OP.FUNCTION_GCP,
name=environ.get("FUNCTION_NAME", ""),
source=TRANSACTION_SOURCE_COMPONENT,
)
sampling_context = {
"gcp_env": {
"function_name": environ.get("FUNCTION_NAME"),
"function_entry_point": environ.get("ENTRY_POINT"),
"function_identity": environ.get("FUNCTION_IDENTITY"),
"function_region": environ.get("FUNCTION_REGION"),
"function_project": environ.get("GCP_PROJECT"),
},
"gcp_event": gcp_event,
}
with hub.start_transaction(
transaction, custom_sampling_context=sampling_context
):
try:
return func(functionhandler, gcp_event, *args, **kwargs)
except Exception:
exc_info = sys.exc_info()
sentry_event, hint = event_from_exception(
exc_info,
client_options=client.options,
mechanism={"type": "gcp", "handled": False},
)
hub.capture_event(sentry_event, hint=hint)
reraise(*exc_info)
finally:
if timeout_thread:
timeout_thread.stop()
# Flush out the event queue
hub.flush()
return sentry_func # type: ignore
class GcpIntegration(Integration):
identifier = "gcp"
def __init__(self, timeout_warning=False):
# type: (bool) -> None
self.timeout_warning = timeout_warning
@staticmethod
def setup_once():
# type: () -> None
import __main__ as gcp_functions
if not hasattr(gcp_functions, "worker_v1"):
logger.warning(
"GcpIntegration currently supports only Python 3.7 runtime environment."
)
return
worker1 = gcp_functions.worker_v1
worker1.FunctionHandler.invoke_user_function = _wrap_func(
worker1.FunctionHandler.invoke_user_function
)
def _make_request_event_processor(gcp_event, configured_timeout, initial_time):
# type: (Any, Any, Any) -> EventProcessor
def event_processor(event, hint):
# type: (Event, Hint) -> Optional[Event]
final_time = datetime.utcnow()
time_diff = final_time - initial_time
execution_duration_in_millis = time_diff.microseconds / MILLIS_TO_SECONDS
extra = event.setdefault("extra", {})
extra["google cloud functions"] = {
"function_name": environ.get("FUNCTION_NAME"),
"function_entry_point": environ.get("ENTRY_POINT"),
"function_identity": environ.get("FUNCTION_IDENTITY"),
"function_region": environ.get("FUNCTION_REGION"),
"function_project": environ.get("GCP_PROJECT"),
"execution_duration_in_millis": execution_duration_in_millis,
"configured_timeout_in_seconds": configured_timeout,
}
extra["google cloud logs"] = {
"url": _get_google_cloud_logs_url(final_time),
}
request = event.get("request", {})
request["url"] = "gcp:///{}".format(environ.get("FUNCTION_NAME"))
if hasattr(gcp_event, "method"):
request["method"] = gcp_event.method
if hasattr(gcp_event, "query_string"):
request["query_string"] = gcp_event.query_string.decode("utf-8")
if hasattr(gcp_event, "headers"):
request["headers"] = _filter_headers(gcp_event.headers)
if _should_send_default_pii():
if hasattr(gcp_event, "data"):
request["data"] = gcp_event.data
else:
if hasattr(gcp_event, "data"):
# Unfortunately couldn't find a way to get structured body from GCP
# event. Meaning every body is unstructured to us.
request["data"] = AnnotatedValue.removed_because_raw_data()
event["request"] = request
return event
return event_processor
def _get_google_cloud_logs_url(final_time):
# type: (datetime) -> str
"""
Generates a Google Cloud Logs console URL based on the environment variables
Arguments:
final_time {datetime} -- Final time
Returns:
str -- Google Cloud Logs Console URL to logs.
"""
hour_ago = final_time - timedelta(hours=1)
formatstring = "%Y-%m-%dT%H:%M:%SZ"
url = (
"https://console.cloud.google.com/logs/viewer?project={project}&resource=cloud_function"
"%2Ffunction_name%2F{function_name}%2Fregion%2F{region}&minLogLevel=0&expandAll=false"
"×tamp={timestamp_end}&customFacets=&limitCustomFacetWidth=true"
"&dateRangeStart={timestamp_start}&dateRangeEnd={timestamp_end}"
"&interval=PT1H&scrollTimestamp={timestamp_end}"
).format(
project=environ.get("GCP_PROJECT"),
function_name=environ.get("FUNCTION_NAME"),
region=environ.get("FUNCTION_REGION"),
timestamp_end=final_time.strftime(formatstring),
timestamp_start=hour_ago.strftime(formatstring),
)
return url
| 8,148 | Python | 34.430435 | 97 | 0.58137 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/executing.py | from __future__ import absolute_import
from sentry_sdk import Hub
from sentry_sdk._types import MYPY
from sentry_sdk.integrations import Integration, DidNotEnable
from sentry_sdk.scope import add_global_event_processor
from sentry_sdk.utils import walk_exception_chain, iter_stacks
if MYPY:
from typing import Optional
from sentry_sdk._types import Event, Hint
try:
import executing
except ImportError:
raise DidNotEnable("executing is not installed")
class ExecutingIntegration(Integration):
identifier = "executing"
@staticmethod
def setup_once():
# type: () -> None
@add_global_event_processor
def add_executing_info(event, hint):
# type: (Event, Optional[Hint]) -> Optional[Event]
if Hub.current.get_integration(ExecutingIntegration) is None:
return event
if hint is None:
return event
exc_info = hint.get("exc_info", None)
if exc_info is None:
return event
exception = event.get("exception", None)
if exception is None:
return event
values = exception.get("values", None)
if values is None:
return event
for exception, (_exc_type, _exc_value, exc_tb) in zip(
reversed(values), walk_exception_chain(exc_info)
):
sentry_frames = [
frame
for frame in exception.get("stacktrace", {}).get("frames", [])
if frame.get("function")
]
tbs = list(iter_stacks(exc_tb))
if len(sentry_frames) != len(tbs):
continue
for sentry_frame, tb in zip(sentry_frames, tbs):
frame = tb.tb_frame
source = executing.Source.for_frame(frame)
sentry_frame["function"] = source.code_qualname(frame.f_code)
return event
| 2,023 | Python | 28.333333 | 82 | 0.562531 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/modules.py | from __future__ import absolute_import
from sentry_sdk.hub import Hub
from sentry_sdk.integrations import Integration
from sentry_sdk.scope import add_global_event_processor
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
from typing import Dict
from typing import Tuple
from typing import Iterator
from sentry_sdk._types import Event
_installed_modules = None
def _generate_installed_modules():
# type: () -> Iterator[Tuple[str, str]]
try:
import pkg_resources
except ImportError:
return
for info in pkg_resources.working_set:
yield info.key, info.version
def _get_installed_modules():
# type: () -> Dict[str, str]
global _installed_modules
if _installed_modules is None:
_installed_modules = dict(_generate_installed_modules())
return _installed_modules
class ModulesIntegration(Integration):
identifier = "modules"
@staticmethod
def setup_once():
# type: () -> None
@add_global_event_processor
def processor(event, hint):
# type: (Event, Any) -> Dict[str, Any]
if event.get("type") == "transaction":
return event
if Hub.current.get_integration(ModulesIntegration) is None:
return event
event["modules"] = _get_installed_modules()
return event
| 1,393 | Python | 23.45614 | 71 | 0.642498 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/trytond.py | import sentry_sdk.hub
import sentry_sdk.utils
import sentry_sdk.integrations
import sentry_sdk.integrations.wsgi
from sentry_sdk._types import MYPY
from trytond.exceptions import TrytonException # type: ignore
from trytond.wsgi import app # type: ignore
if MYPY:
from typing import Any
# TODO: trytond-worker, trytond-cron and trytond-admin intergations
class TrytondWSGIIntegration(sentry_sdk.integrations.Integration):
identifier = "trytond_wsgi"
def __init__(self): # type: () -> None
pass
@staticmethod
def setup_once(): # type: () -> None
app.wsgi_app = sentry_sdk.integrations.wsgi.SentryWsgiMiddleware(app.wsgi_app)
def error_handler(e): # type: (Exception) -> None
hub = sentry_sdk.hub.Hub.current
if hub.get_integration(TrytondWSGIIntegration) is None:
return
elif isinstance(e, TrytonException):
return
else:
# If an integration is there, a client has to be there.
client = hub.client # type: Any
event, hint = sentry_sdk.utils.event_from_exception(
e,
client_options=client.options,
mechanism={"type": "trytond", "handled": False},
)
hub.capture_event(event, hint=hint)
# Expected error handlers signature was changed
# when the error_handler decorator was introduced
# in Tryton-5.4
if hasattr(app, "error_handler"):
@app.error_handler
def _(app, request, e): # type: ignore
error_handler(e)
else:
app.error_handlers.append(error_handler)
| 1,728 | Python | 29.874999 | 86 | 0.600116 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/httpx.py | from sentry_sdk import Hub
from sentry_sdk.consts import OP
from sentry_sdk.integrations import Integration, DidNotEnable
from sentry_sdk.utils import logger
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
try:
from httpx import AsyncClient, Client, Request, Response # type: ignore
except ImportError:
raise DidNotEnable("httpx is not installed")
__all__ = ["HttpxIntegration"]
class HttpxIntegration(Integration):
identifier = "httpx"
@staticmethod
def setup_once():
# type: () -> None
"""
httpx has its own transport layer and can be customized when needed,
so patch Client.send and AsyncClient.send to support both synchronous and async interfaces.
"""
_install_httpx_client()
_install_httpx_async_client()
def _install_httpx_client():
# type: () -> None
real_send = Client.send
def send(self, request, **kwargs):
# type: (Client, Request, **Any) -> Response
hub = Hub.current
if hub.get_integration(HttpxIntegration) is None:
return real_send(self, request, **kwargs)
with hub.start_span(
op=OP.HTTP_CLIENT, description="%s %s" % (request.method, request.url)
) as span:
span.set_data("method", request.method)
span.set_data("url", str(request.url))
for key, value in hub.iter_trace_propagation_headers():
logger.debug(
"[Tracing] Adding `{key}` header {value} to outgoing request to {url}.".format(
key=key, value=value, url=request.url
)
)
request.headers[key] = value
rv = real_send(self, request, **kwargs)
span.set_data("status_code", rv.status_code)
span.set_http_status(rv.status_code)
span.set_data("reason", rv.reason_phrase)
return rv
Client.send = send
def _install_httpx_async_client():
# type: () -> None
real_send = AsyncClient.send
async def send(self, request, **kwargs):
# type: (AsyncClient, Request, **Any) -> Response
hub = Hub.current
if hub.get_integration(HttpxIntegration) is None:
return await real_send(self, request, **kwargs)
with hub.start_span(
op=OP.HTTP_CLIENT, description="%s %s" % (request.method, request.url)
) as span:
span.set_data("method", request.method)
span.set_data("url", str(request.url))
for key, value in hub.iter_trace_propagation_headers():
logger.debug(
"[Tracing] Adding `{key}` header {value} to outgoing request to {url}.".format(
key=key, value=value, url=request.url
)
)
request.headers[key] = value
rv = await real_send(self, request, **kwargs)
span.set_data("status_code", rv.status_code)
span.set_http_status(rv.status_code)
span.set_data("reason", rv.reason_phrase)
return rv
AsyncClient.send = send
| 3,162 | Python | 31.947916 | 99 | 0.580645 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/redis.py | from __future__ import absolute_import
from sentry_sdk import Hub
from sentry_sdk.consts import OP
from sentry_sdk.utils import capture_internal_exceptions, logger
from sentry_sdk.integrations import Integration, DidNotEnable
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any, Sequence
_SINGLE_KEY_COMMANDS = frozenset(
["decr", "decrby", "get", "incr", "incrby", "pttl", "set", "setex", "setnx", "ttl"]
)
_MULTI_KEY_COMMANDS = frozenset(["del", "touch", "unlink"])
#: Trim argument lists to this many values
_MAX_NUM_ARGS = 10
def patch_redis_pipeline(pipeline_cls, is_cluster, get_command_args_fn):
# type: (Any, bool, Any) -> None
old_execute = pipeline_cls.execute
def sentry_patched_execute(self, *args, **kwargs):
# type: (Any, *Any, **Any) -> Any
hub = Hub.current
if hub.get_integration(RedisIntegration) is None:
return old_execute(self, *args, **kwargs)
with hub.start_span(
op=OP.DB_REDIS, description="redis.pipeline.execute"
) as span:
with capture_internal_exceptions():
span.set_tag("redis.is_cluster", is_cluster)
transaction = self.transaction if not is_cluster else False
span.set_tag("redis.transaction", transaction)
commands = []
for i, arg in enumerate(self.command_stack):
if i > _MAX_NUM_ARGS:
break
command_args = []
for j, command_arg in enumerate(get_command_args_fn(arg)):
if j > 0:
command_arg = repr(command_arg)
command_args.append(command_arg)
commands.append(" ".join(command_args))
span.set_data(
"redis.commands",
{"count": len(self.command_stack), "first_ten": commands},
)
return old_execute(self, *args, **kwargs)
pipeline_cls.execute = sentry_patched_execute
def _get_redis_command_args(command):
# type: (Any) -> Sequence[Any]
return command[0]
def _parse_rediscluster_command(command):
# type: (Any) -> Sequence[Any]
return command.args
def _patch_rediscluster():
# type: () -> None
try:
import rediscluster # type: ignore
except ImportError:
return
patch_redis_client(rediscluster.RedisCluster, is_cluster=True)
# up to v1.3.6, __version__ attribute is a tuple
# from v2.0.0, __version__ is a string and VERSION a tuple
version = getattr(rediscluster, "VERSION", rediscluster.__version__)
# StrictRedisCluster was introduced in v0.2.0 and removed in v2.0.0
# https://github.com/Grokzen/redis-py-cluster/blob/master/docs/release-notes.rst
if (0, 2, 0) < version < (2, 0, 0):
pipeline_cls = rediscluster.pipeline.StrictClusterPipeline
patch_redis_client(rediscluster.StrictRedisCluster, is_cluster=True)
else:
pipeline_cls = rediscluster.pipeline.ClusterPipeline
patch_redis_pipeline(pipeline_cls, True, _parse_rediscluster_command)
class RedisIntegration(Integration):
identifier = "redis"
@staticmethod
def setup_once():
# type: () -> None
try:
import redis
except ImportError:
raise DidNotEnable("Redis client not installed")
patch_redis_client(redis.StrictRedis, is_cluster=False)
patch_redis_pipeline(redis.client.Pipeline, False, _get_redis_command_args)
try:
strict_pipeline = redis.client.StrictPipeline # type: ignore
except AttributeError:
pass
else:
patch_redis_pipeline(strict_pipeline, False, _get_redis_command_args)
try:
import rb.clients # type: ignore
except ImportError:
pass
else:
patch_redis_client(rb.clients.FanoutClient, is_cluster=False)
patch_redis_client(rb.clients.MappingClient, is_cluster=False)
patch_redis_client(rb.clients.RoutingClient, is_cluster=False)
try:
_patch_rediscluster()
except Exception:
logger.exception("Error occurred while patching `rediscluster` library")
def patch_redis_client(cls, is_cluster):
# type: (Any, bool) -> None
"""
This function can be used to instrument custom redis client classes or
subclasses.
"""
old_execute_command = cls.execute_command
def sentry_patched_execute_command(self, name, *args, **kwargs):
# type: (Any, str, *Any, **Any) -> Any
hub = Hub.current
if hub.get_integration(RedisIntegration) is None:
return old_execute_command(self, name, *args, **kwargs)
description = name
with capture_internal_exceptions():
description_parts = [name]
for i, arg in enumerate(args):
if i > _MAX_NUM_ARGS:
break
description_parts.append(repr(arg))
description = " ".join(description_parts)
with hub.start_span(op=OP.DB_REDIS, description=description) as span:
span.set_tag("redis.is_cluster", is_cluster)
if name:
span.set_tag("redis.command", name)
if name and args:
name_low = name.lower()
if (name_low in _SINGLE_KEY_COMMANDS) or (
name_low in _MULTI_KEY_COMMANDS and len(args) == 1
):
span.set_tag("redis.key", args[0])
return old_execute_command(self, name, *args, **kwargs)
cls.execute_command = sentry_patched_execute_command
| 5,740 | Python | 32.184971 | 87 | 0.59547 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/__init__.py | """This package"""
from __future__ import absolute_import
from threading import Lock
from sentry_sdk._compat import iteritems
from sentry_sdk.utils import logger
from sentry_sdk._types import MYPY
if MYPY:
from typing import Callable
from typing import Dict
from typing import Iterator
from typing import List
from typing import Set
from typing import Tuple
from typing import Type
_installer_lock = Lock()
_installed_integrations = set() # type: Set[str]
def _generate_default_integrations_iterator(integrations, auto_enabling_integrations):
# type: (Tuple[str, ...], Tuple[str, ...]) -> Callable[[bool], Iterator[Type[Integration]]]
def iter_default_integrations(with_auto_enabling_integrations):
# type: (bool) -> Iterator[Type[Integration]]
"""Returns an iterator of the default integration classes:"""
from importlib import import_module
if with_auto_enabling_integrations:
all_import_strings = integrations + auto_enabling_integrations
else:
all_import_strings = integrations
for import_string in all_import_strings:
try:
module, cls = import_string.rsplit(".", 1)
yield getattr(import_module(module), cls)
except (DidNotEnable, SyntaxError) as e:
logger.debug(
"Did not import default integration %s: %s", import_string, e
)
if isinstance(iter_default_integrations.__doc__, str):
for import_string in integrations:
iter_default_integrations.__doc__ += "\n- `{}`".format(import_string)
return iter_default_integrations
_AUTO_ENABLING_INTEGRATIONS = (
"sentry_sdk.integrations.django.DjangoIntegration",
"sentry_sdk.integrations.flask.FlaskIntegration",
"sentry_sdk.integrations.starlette.StarletteIntegration",
"sentry_sdk.integrations.fastapi.FastApiIntegration",
"sentry_sdk.integrations.bottle.BottleIntegration",
"sentry_sdk.integrations.falcon.FalconIntegration",
"sentry_sdk.integrations.sanic.SanicIntegration",
"sentry_sdk.integrations.celery.CeleryIntegration",
"sentry_sdk.integrations.rq.RqIntegration",
"sentry_sdk.integrations.aiohttp.AioHttpIntegration",
"sentry_sdk.integrations.tornado.TornadoIntegration",
"sentry_sdk.integrations.sqlalchemy.SqlalchemyIntegration",
"sentry_sdk.integrations.redis.RedisIntegration",
"sentry_sdk.integrations.pyramid.PyramidIntegration",
"sentry_sdk.integrations.boto3.Boto3Integration",
)
iter_default_integrations = _generate_default_integrations_iterator(
integrations=(
# stdlib/base runtime integrations
"sentry_sdk.integrations.logging.LoggingIntegration",
"sentry_sdk.integrations.stdlib.StdlibIntegration",
"sentry_sdk.integrations.excepthook.ExcepthookIntegration",
"sentry_sdk.integrations.dedupe.DedupeIntegration",
"sentry_sdk.integrations.atexit.AtexitIntegration",
"sentry_sdk.integrations.modules.ModulesIntegration",
"sentry_sdk.integrations.argv.ArgvIntegration",
"sentry_sdk.integrations.threading.ThreadingIntegration",
),
auto_enabling_integrations=_AUTO_ENABLING_INTEGRATIONS,
)
del _generate_default_integrations_iterator
def setup_integrations(
integrations, with_defaults=True, with_auto_enabling_integrations=False
):
# type: (List[Integration], bool, bool) -> Dict[str, Integration]
"""Given a list of integration instances this installs them all. When
`with_defaults` is set to `True` then all default integrations are added
unless they were already provided before.
"""
integrations = dict(
(integration.identifier, integration) for integration in integrations or ()
)
logger.debug("Setting up integrations (with default = %s)", with_defaults)
# Integrations that are not explicitly set up by the user.
used_as_default_integration = set()
if with_defaults:
for integration_cls in iter_default_integrations(
with_auto_enabling_integrations
):
if integration_cls.identifier not in integrations:
instance = integration_cls()
integrations[instance.identifier] = instance
used_as_default_integration.add(instance.identifier)
for identifier, integration in iteritems(integrations):
with _installer_lock:
if identifier not in _installed_integrations:
logger.debug(
"Setting up previously not enabled integration %s", identifier
)
try:
type(integration).setup_once()
except NotImplementedError:
if getattr(integration, "install", None) is not None:
logger.warning(
"Integration %s: The install method is "
"deprecated. Use `setup_once`.",
identifier,
)
integration.install()
else:
raise
except DidNotEnable as e:
if identifier not in used_as_default_integration:
raise
logger.debug(
"Did not enable default integration %s: %s", identifier, e
)
_installed_integrations.add(identifier)
for identifier in integrations:
logger.debug("Enabling integration %s", identifier)
return integrations
class DidNotEnable(Exception): # noqa: N818
"""
The integration could not be enabled due to a trivial user error like
`flask` not being installed for the `FlaskIntegration`.
This exception is silently swallowed for default integrations, but reraised
for explicitly enabled integrations.
"""
class Integration(object):
"""Baseclass for all integrations.
To accept options for an integration, implement your own constructor that
saves those options on `self`.
"""
install = None
"""Legacy method, do not implement."""
identifier = None # type: str
"""String unique ID of integration type"""
@staticmethod
def setup_once():
# type: () -> None
"""
Initialize the integration.
This function is only called once, ever. Configuration is not available
at this point, so the only thing to do here is to hook into exception
handlers, and perhaps do monkeypatches.
Inside those hooks `Integration.current` can be used to access the
instance again.
"""
raise NotImplementedError()
| 6,755 | Python | 34.93617 | 95 | 0.650777 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/celery.py | from __future__ import absolute_import
import sys
from sentry_sdk.consts import OP
from sentry_sdk.hub import Hub
from sentry_sdk.tracing import TRANSACTION_SOURCE_TASK
from sentry_sdk.utils import (
capture_internal_exceptions,
event_from_exception,
)
from sentry_sdk.tracing import Transaction
from sentry_sdk._compat import reraise
from sentry_sdk.integrations import Integration, DidNotEnable
from sentry_sdk.integrations.logging import ignore_logger
from sentry_sdk._types import MYPY
from sentry_sdk._functools import wraps
if MYPY:
from typing import Any
from typing import TypeVar
from typing import Callable
from typing import Optional
from sentry_sdk._types import EventProcessor, Event, Hint, ExcInfo
F = TypeVar("F", bound=Callable[..., Any])
try:
from celery import VERSION as CELERY_VERSION
from celery.exceptions import ( # type: ignore
SoftTimeLimitExceeded,
Retry,
Ignore,
Reject,
)
from celery.app.trace import task_has_custom
except ImportError:
raise DidNotEnable("Celery not installed")
CELERY_CONTROL_FLOW_EXCEPTIONS = (Retry, Ignore, Reject)
class CeleryIntegration(Integration):
identifier = "celery"
def __init__(self, propagate_traces=True):
# type: (bool) -> None
self.propagate_traces = propagate_traces
@staticmethod
def setup_once():
# type: () -> None
if CELERY_VERSION < (3,):
raise DidNotEnable("Celery 3 or newer required.")
import celery.app.trace as trace # type: ignore
old_build_tracer = trace.build_tracer
def sentry_build_tracer(name, task, *args, **kwargs):
# type: (Any, Any, *Any, **Any) -> Any
if not getattr(task, "_sentry_is_patched", False):
# determine whether Celery will use __call__ or run and patch
# accordingly
if task_has_custom(task, "__call__"):
type(task).__call__ = _wrap_task_call(task, type(task).__call__)
else:
task.run = _wrap_task_call(task, task.run)
# `build_tracer` is apparently called for every task
# invocation. Can't wrap every celery task for every invocation
# or we will get infinitely nested wrapper functions.
task._sentry_is_patched = True
return _wrap_tracer(task, old_build_tracer(name, task, *args, **kwargs))
trace.build_tracer = sentry_build_tracer
from celery.app.task import Task # type: ignore
Task.apply_async = _wrap_apply_async(Task.apply_async)
_patch_worker_exit()
# This logger logs every status of every task that ran on the worker.
# Meaning that every task's breadcrumbs are full of stuff like "Task
# <foo> raised unexpected <bar>".
ignore_logger("celery.worker.job")
ignore_logger("celery.app.trace")
# This is stdout/err redirected to a logger, can't deal with this
# (need event_level=logging.WARN to reproduce)
ignore_logger("celery.redirected")
def _wrap_apply_async(f):
# type: (F) -> F
@wraps(f)
def apply_async(*args, **kwargs):
# type: (*Any, **Any) -> Any
hub = Hub.current
integration = hub.get_integration(CeleryIntegration)
if integration is not None and integration.propagate_traces:
with hub.start_span(
op=OP.QUEUE_SUBMIT_CELERY, description=args[0].name
) as span:
with capture_internal_exceptions():
headers = dict(hub.iter_trace_propagation_headers(span))
if headers:
# Note: kwargs can contain headers=None, so no setdefault!
# Unsure which backend though.
kwarg_headers = kwargs.get("headers") or {}
kwarg_headers.update(headers)
# https://github.com/celery/celery/issues/4875
#
# Need to setdefault the inner headers too since other
# tracing tools (dd-trace-py) also employ this exact
# workaround and we don't want to break them.
kwarg_headers.setdefault("headers", {}).update(headers)
kwargs["headers"] = kwarg_headers
return f(*args, **kwargs)
else:
return f(*args, **kwargs)
return apply_async # type: ignore
def _wrap_tracer(task, f):
# type: (Any, F) -> F
# Need to wrap tracer for pushing the scope before prerun is sent, and
# popping it after postrun is sent.
#
# This is the reason we don't use signals for hooking in the first place.
# Also because in Celery 3, signal dispatch returns early if one handler
# crashes.
@wraps(f)
def _inner(*args, **kwargs):
# type: (*Any, **Any) -> Any
hub = Hub.current
if hub.get_integration(CeleryIntegration) is None:
return f(*args, **kwargs)
with hub.push_scope() as scope:
scope._name = "celery"
scope.clear_breadcrumbs()
scope.add_event_processor(_make_event_processor(task, *args, **kwargs))
transaction = None
# Celery task objects are not a thing to be trusted. Even
# something such as attribute access can fail.
with capture_internal_exceptions():
transaction = Transaction.continue_from_headers(
args[3].get("headers") or {},
op=OP.QUEUE_TASK_CELERY,
name="unknown celery task",
source=TRANSACTION_SOURCE_TASK,
)
transaction.name = task.name
transaction.set_status("ok")
if transaction is None:
return f(*args, **kwargs)
with hub.start_transaction(
transaction,
custom_sampling_context={
"celery_job": {
"task": task.name,
# for some reason, args[1] is a list if non-empty but a
# tuple if empty
"args": list(args[1]),
"kwargs": args[2],
}
},
):
return f(*args, **kwargs)
return _inner # type: ignore
def _wrap_task_call(task, f):
# type: (Any, F) -> F
# Need to wrap task call because the exception is caught before we get to
# see it. Also celery's reported stacktrace is untrustworthy.
# functools.wraps is important here because celery-once looks at this
# method's name.
# https://github.com/getsentry/sentry-python/issues/421
@wraps(f)
def _inner(*args, **kwargs):
# type: (*Any, **Any) -> Any
try:
return f(*args, **kwargs)
except Exception:
exc_info = sys.exc_info()
with capture_internal_exceptions():
_capture_exception(task, exc_info)
reraise(*exc_info)
return _inner # type: ignore
def _make_event_processor(task, uuid, args, kwargs, request=None):
# type: (Any, Any, Any, Any, Optional[Any]) -> EventProcessor
def event_processor(event, hint):
# type: (Event, Hint) -> Optional[Event]
with capture_internal_exceptions():
tags = event.setdefault("tags", {})
tags["celery_task_id"] = uuid
extra = event.setdefault("extra", {})
extra["celery-job"] = {
"task_name": task.name,
"args": args,
"kwargs": kwargs,
}
if "exc_info" in hint:
with capture_internal_exceptions():
if issubclass(hint["exc_info"][0], SoftTimeLimitExceeded):
event["fingerprint"] = [
"celery",
"SoftTimeLimitExceeded",
getattr(task, "name", task),
]
return event
return event_processor
def _capture_exception(task, exc_info):
# type: (Any, ExcInfo) -> None
hub = Hub.current
if hub.get_integration(CeleryIntegration) is None:
return
if isinstance(exc_info[1], CELERY_CONTROL_FLOW_EXCEPTIONS):
# ??? Doesn't map to anything
_set_status(hub, "aborted")
return
_set_status(hub, "internal_error")
if hasattr(task, "throws") and isinstance(exc_info[1], task.throws):
return
# If an integration is there, a client has to be there.
client = hub.client # type: Any
event, hint = event_from_exception(
exc_info,
client_options=client.options,
mechanism={"type": "celery", "handled": False},
)
hub.capture_event(event, hint=hint)
def _set_status(hub, status):
# type: (Hub, str) -> None
with capture_internal_exceptions():
with hub.configure_scope() as scope:
if scope.span is not None:
scope.span.set_status(status)
def _patch_worker_exit():
# type: () -> None
# Need to flush queue before worker shutdown because a crashing worker will
# call os._exit
from billiard.pool import Worker # type: ignore
old_workloop = Worker.workloop
def sentry_workloop(*args, **kwargs):
# type: (*Any, **Any) -> Any
try:
return old_workloop(*args, **kwargs)
finally:
with capture_internal_exceptions():
hub = Hub.current
if hub.get_integration(CeleryIntegration) is not None:
hub.flush()
Worker.workloop = sentry_workloop
| 9,823 | Python | 32.077441 | 84 | 0.568462 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/dedupe.py | from sentry_sdk.hub import Hub
from sentry_sdk.utils import ContextVar
from sentry_sdk.integrations import Integration
from sentry_sdk.scope import add_global_event_processor
from sentry_sdk._types import MYPY
if MYPY:
from typing import Optional
from sentry_sdk._types import Event, Hint
class DedupeIntegration(Integration):
identifier = "dedupe"
def __init__(self):
# type: () -> None
self._last_seen = ContextVar("last-seen")
@staticmethod
def setup_once():
# type: () -> None
@add_global_event_processor
def processor(event, hint):
# type: (Event, Optional[Hint]) -> Optional[Event]
if hint is None:
return event
integration = Hub.current.get_integration(DedupeIntegration)
if integration is None:
return event
exc_info = hint.get("exc_info", None)
if exc_info is None:
return event
exc = exc_info[1]
if integration._last_seen.get(None) is exc:
return None
integration._last_seen.set(exc)
return event
| 1,166 | Python | 25.522727 | 72 | 0.59434 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/flask.py | from __future__ import absolute_import
from sentry_sdk._types import MYPY
from sentry_sdk.hub import Hub, _should_send_default_pii
from sentry_sdk.integrations import DidNotEnable, Integration
from sentry_sdk.integrations._wsgi_common import RequestExtractor
from sentry_sdk.integrations.wsgi import SentryWsgiMiddleware
from sentry_sdk.scope import Scope
from sentry_sdk.tracing import SENTRY_TRACE_HEADER_NAME, SOURCE_FOR_STYLE
from sentry_sdk.utils import (
capture_internal_exceptions,
event_from_exception,
)
if MYPY:
from typing import Any, Callable, Dict, Union
from sentry_sdk._types import EventProcessor
from sentry_sdk.integrations.wsgi import _ScopedResponse
from werkzeug.datastructures import FileStorage, ImmutableMultiDict
try:
import flask_login # type: ignore
except ImportError:
flask_login = None
try:
from flask import Flask, Markup, Request # type: ignore
from flask import __version__ as FLASK_VERSION
from flask import request as flask_request
from flask.signals import (
before_render_template,
got_request_exception,
request_started,
)
except ImportError:
raise DidNotEnable("Flask is not installed")
try:
import blinker # noqa
except ImportError:
raise DidNotEnable("blinker is not installed")
TRANSACTION_STYLE_VALUES = ("endpoint", "url")
class FlaskIntegration(Integration):
identifier = "flask"
transaction_style = ""
def __init__(self, transaction_style="endpoint"):
# type: (str) -> None
if transaction_style not in TRANSACTION_STYLE_VALUES:
raise ValueError(
"Invalid value for transaction_style: %s (must be in %s)"
% (transaction_style, TRANSACTION_STYLE_VALUES)
)
self.transaction_style = transaction_style
@staticmethod
def setup_once():
# type: () -> None
# This version parsing is absolutely naive but the alternative is to
# import pkg_resources which slows down the SDK a lot.
try:
version = tuple(map(int, FLASK_VERSION.split(".")[:3]))
except (ValueError, TypeError):
# It's probably a release candidate, we assume it's fine.
pass
else:
if version < (0, 10):
raise DidNotEnable("Flask 0.10 or newer is required.")
before_render_template.connect(_add_sentry_trace)
request_started.connect(_request_started)
got_request_exception.connect(_capture_exception)
old_app = Flask.__call__
def sentry_patched_wsgi_app(self, environ, start_response):
# type: (Any, Dict[str, str], Callable[..., Any]) -> _ScopedResponse
if Hub.current.get_integration(FlaskIntegration) is None:
return old_app(self, environ, start_response)
return SentryWsgiMiddleware(lambda *a, **kw: old_app(self, *a, **kw))(
environ, start_response
)
Flask.__call__ = sentry_patched_wsgi_app
def _add_sentry_trace(sender, template, context, **extra):
# type: (Flask, Any, Dict[str, Any], **Any) -> None
if "sentry_trace" in context:
return
sentry_span = Hub.current.scope.span
context["sentry_trace"] = (
Markup(
'<meta name="%s" content="%s" />'
% (
SENTRY_TRACE_HEADER_NAME,
sentry_span.to_traceparent(),
)
)
if sentry_span
else ""
)
def _set_transaction_name_and_source(scope, transaction_style, request):
# type: (Scope, str, Request) -> None
try:
name_for_style = {
"url": request.url_rule.rule,
"endpoint": request.url_rule.endpoint,
}
scope.set_transaction_name(
name_for_style[transaction_style],
source=SOURCE_FOR_STYLE[transaction_style],
)
except Exception:
pass
def _request_started(app, **kwargs):
# type: (Flask, **Any) -> None
hub = Hub.current
integration = hub.get_integration(FlaskIntegration)
if integration is None:
return
with hub.configure_scope() as scope:
# Set the transaction name and source here,
# but rely on WSGI middleware to actually start the transaction
request = flask_request._get_current_object()
_set_transaction_name_and_source(scope, integration.transaction_style, request)
evt_processor = _make_request_event_processor(app, request, integration)
scope.add_event_processor(evt_processor)
class FlaskRequestExtractor(RequestExtractor):
def env(self):
# type: () -> Dict[str, str]
return self.request.environ
def cookies(self):
# type: () -> Dict[Any, Any]
return {
k: v[0] if isinstance(v, list) and len(v) == 1 else v
for k, v in self.request.cookies.items()
}
def raw_data(self):
# type: () -> bytes
return self.request.get_data()
def form(self):
# type: () -> ImmutableMultiDict[str, Any]
return self.request.form
def files(self):
# type: () -> ImmutableMultiDict[str, Any]
return self.request.files
def is_json(self):
# type: () -> bool
return self.request.is_json
def json(self):
# type: () -> Any
return self.request.get_json()
def size_of_file(self, file):
# type: (FileStorage) -> int
return file.content_length
def _make_request_event_processor(app, request, integration):
# type: (Flask, Callable[[], Request], FlaskIntegration) -> EventProcessor
def inner(event, hint):
# type: (Dict[str, Any], Dict[str, Any]) -> Dict[str, Any]
# if the request is gone we are fine not logging the data from
# it. This might happen if the processor is pushed away to
# another thread.
if request is None:
return event
with capture_internal_exceptions():
FlaskRequestExtractor(request).extract_into_event(event)
if _should_send_default_pii():
with capture_internal_exceptions():
_add_user_to_event(event)
return event
return inner
def _capture_exception(sender, exception, **kwargs):
# type: (Flask, Union[ValueError, BaseException], **Any) -> None
hub = Hub.current
if hub.get_integration(FlaskIntegration) is None:
return
# If an integration is there, a client has to be there.
client = hub.client # type: Any
event, hint = event_from_exception(
exception,
client_options=client.options,
mechanism={"type": "flask", "handled": False},
)
hub.capture_event(event, hint=hint)
def _add_user_to_event(event):
# type: (Dict[str, Any]) -> None
if flask_login is None:
return
user = flask_login.current_user
if user is None:
return
with capture_internal_exceptions():
# Access this object as late as possible as accessing the user
# is relatively costly
user_info = event.setdefault("user", {})
try:
user_info.setdefault("id", user.get_id())
# TODO: more configurable user attrs here
except AttributeError:
# might happen if:
# - flask_login could not be imported
# - flask_login is not configured
# - no user is logged in
pass
# The following attribute accesses are ineffective for the general
# Flask-Login case, because the User interface of Flask-Login does not
# care about anything but the ID. However, Flask-User (based on
# Flask-Login) documents a few optional extra attributes.
#
# https://github.com/lingthio/Flask-User/blob/a379fa0a281789618c484b459cb41236779b95b1/docs/source/data_models.rst#fixed-data-model-property-names
try:
user_info.setdefault("email", user.email)
except Exception:
pass
try:
user_info.setdefault("username", user.username)
user_info.setdefault("username", user.email)
except Exception:
pass
| 8,239 | Python | 29.861423 | 154 | 0.618886 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/pure_eval.py | from __future__ import absolute_import
import ast
from sentry_sdk import Hub, serializer
from sentry_sdk._types import MYPY
from sentry_sdk.integrations import Integration, DidNotEnable
from sentry_sdk.scope import add_global_event_processor
from sentry_sdk.utils import walk_exception_chain, iter_stacks
if MYPY:
from typing import Optional, Dict, Any, Tuple, List
from types import FrameType
from sentry_sdk._types import Event, Hint
try:
import executing
except ImportError:
raise DidNotEnable("executing is not installed")
try:
import pure_eval
except ImportError:
raise DidNotEnable("pure_eval is not installed")
try:
# Used implicitly, just testing it's available
import asttokens # noqa
except ImportError:
raise DidNotEnable("asttokens is not installed")
class PureEvalIntegration(Integration):
identifier = "pure_eval"
@staticmethod
def setup_once():
# type: () -> None
@add_global_event_processor
def add_executing_info(event, hint):
# type: (Event, Optional[Hint]) -> Optional[Event]
if Hub.current.get_integration(PureEvalIntegration) is None:
return event
if hint is None:
return event
exc_info = hint.get("exc_info", None)
if exc_info is None:
return event
exception = event.get("exception", None)
if exception is None:
return event
values = exception.get("values", None)
if values is None:
return event
for exception, (_exc_type, _exc_value, exc_tb) in zip(
reversed(values), walk_exception_chain(exc_info)
):
sentry_frames = [
frame
for frame in exception.get("stacktrace", {}).get("frames", [])
if frame.get("function")
]
tbs = list(iter_stacks(exc_tb))
if len(sentry_frames) != len(tbs):
continue
for sentry_frame, tb in zip(sentry_frames, tbs):
sentry_frame["vars"] = (
pure_eval_frame(tb.tb_frame) or sentry_frame["vars"]
)
return event
def pure_eval_frame(frame):
# type: (FrameType) -> Dict[str, Any]
source = executing.Source.for_frame(frame)
if not source.tree:
return {}
statements = source.statements_at_line(frame.f_lineno)
if not statements:
return {}
scope = stmt = list(statements)[0]
while True:
# Get the parent first in case the original statement is already
# a function definition, e.g. if we're calling a decorator
# In that case we still want the surrounding scope, not that function
scope = scope.parent
if isinstance(scope, (ast.FunctionDef, ast.ClassDef, ast.Module)):
break
evaluator = pure_eval.Evaluator.from_frame(frame)
expressions = evaluator.interesting_expressions_grouped(scope)
def closeness(expression):
# type: (Tuple[List[Any], Any]) -> Tuple[int, int]
# Prioritise expressions with a node closer to the statement executed
# without being after that statement
# A higher return value is better - the expression will appear
# earlier in the list of values and is less likely to be trimmed
nodes, _value = expression
def start(n):
# type: (ast.expr) -> Tuple[int, int]
return (n.lineno, n.col_offset)
nodes_before_stmt = [
node for node in nodes if start(node) < stmt.last_token.end # type: ignore
]
if nodes_before_stmt:
# The position of the last node before or in the statement
return max(start(node) for node in nodes_before_stmt)
else:
# The position of the first node after the statement
# Negative means it's always lower priority than nodes that come before
# Less negative means closer to the statement and higher priority
lineno, col_offset = min(start(node) for node in nodes)
return (-lineno, -col_offset)
# This adds the first_token and last_token attributes to nodes
atok = source.asttokens()
expressions.sort(key=closeness, reverse=True)
return {
atok.get_text(nodes[0]): value
for nodes, value in expressions[: serializer.MAX_DATABAG_BREADTH]
}
| 4,536 | Python | 31.640288 | 87 | 0.606702 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/quart.py | from __future__ import absolute_import
from sentry_sdk.hub import _should_send_default_pii, Hub
from sentry_sdk.integrations import DidNotEnable, Integration
from sentry_sdk.integrations._wsgi_common import _filter_headers
from sentry_sdk.integrations.asgi import SentryAsgiMiddleware
from sentry_sdk.scope import Scope
from sentry_sdk.tracing import SOURCE_FOR_STYLE
from sentry_sdk.utils import (
capture_internal_exceptions,
event_from_exception,
)
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
from typing import Dict
from typing import Union
from sentry_sdk._types import EventProcessor
try:
import quart_auth # type: ignore
except ImportError:
quart_auth = None
try:
from quart import ( # type: ignore
has_request_context,
has_websocket_context,
Request,
Quart,
request,
websocket,
)
from quart.signals import ( # type: ignore
got_background_exception,
got_request_exception,
got_websocket_exception,
request_started,
websocket_started,
)
except ImportError:
raise DidNotEnable("Quart is not installed")
TRANSACTION_STYLE_VALUES = ("endpoint", "url")
class QuartIntegration(Integration):
identifier = "quart"
transaction_style = ""
def __init__(self, transaction_style="endpoint"):
# type: (str) -> None
if transaction_style not in TRANSACTION_STYLE_VALUES:
raise ValueError(
"Invalid value for transaction_style: %s (must be in %s)"
% (transaction_style, TRANSACTION_STYLE_VALUES)
)
self.transaction_style = transaction_style
@staticmethod
def setup_once():
# type: () -> None
request_started.connect(_request_websocket_started)
websocket_started.connect(_request_websocket_started)
got_background_exception.connect(_capture_exception)
got_request_exception.connect(_capture_exception)
got_websocket_exception.connect(_capture_exception)
old_app = Quart.__call__
async def sentry_patched_asgi_app(self, scope, receive, send):
# type: (Any, Any, Any, Any) -> Any
if Hub.current.get_integration(QuartIntegration) is None:
return await old_app(self, scope, receive, send)
middleware = SentryAsgiMiddleware(lambda *a, **kw: old_app(self, *a, **kw))
middleware.__call__ = middleware._run_asgi3
return await middleware(scope, receive, send)
Quart.__call__ = sentry_patched_asgi_app
def _set_transaction_name_and_source(scope, transaction_style, request):
# type: (Scope, str, Request) -> None
try:
name_for_style = {
"url": request.url_rule.rule,
"endpoint": request.url_rule.endpoint,
}
scope.set_transaction_name(
name_for_style[transaction_style],
source=SOURCE_FOR_STYLE[transaction_style],
)
except Exception:
pass
def _request_websocket_started(app, **kwargs):
# type: (Quart, **Any) -> None
hub = Hub.current
integration = hub.get_integration(QuartIntegration)
if integration is None:
return
with hub.configure_scope() as scope:
if has_request_context():
request_websocket = request._get_current_object()
if has_websocket_context():
request_websocket = websocket._get_current_object()
# Set the transaction name here, but rely on ASGI middleware
# to actually start the transaction
_set_transaction_name_and_source(
scope, integration.transaction_style, request_websocket
)
evt_processor = _make_request_event_processor(
app, request_websocket, integration
)
scope.add_event_processor(evt_processor)
def _make_request_event_processor(app, request, integration):
# type: (Quart, Request, QuartIntegration) -> EventProcessor
def inner(event, hint):
# type: (Dict[str, Any], Dict[str, Any]) -> Dict[str, Any]
# if the request is gone we are fine not logging the data from
# it. This might happen if the processor is pushed away to
# another thread.
if request is None:
return event
with capture_internal_exceptions():
# TODO: Figure out what to do with request body. Methods on request
# are async, but event processors are not.
request_info = event.setdefault("request", {})
request_info["url"] = request.url
request_info["query_string"] = request.query_string
request_info["method"] = request.method
request_info["headers"] = _filter_headers(dict(request.headers))
if _should_send_default_pii():
request_info["env"] = {"REMOTE_ADDR": request.access_route[0]}
_add_user_to_event(event)
return event
return inner
def _capture_exception(sender, exception, **kwargs):
# type: (Quart, Union[ValueError, BaseException], **Any) -> None
hub = Hub.current
if hub.get_integration(QuartIntegration) is None:
return
# If an integration is there, a client has to be there.
client = hub.client # type: Any
event, hint = event_from_exception(
exception,
client_options=client.options,
mechanism={"type": "quart", "handled": False},
)
hub.capture_event(event, hint=hint)
def _add_user_to_event(event):
# type: (Dict[str, Any]) -> None
if quart_auth is None:
return
user = quart_auth.current_user
if user is None:
return
with capture_internal_exceptions():
user_info = event.setdefault("user", {})
user_info["id"] = quart_auth.current_user._auth_id
| 5,867 | Python | 30.047619 | 87 | 0.631328 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/threading.py | from __future__ import absolute_import
import sys
from threading import Thread, current_thread
from sentry_sdk import Hub
from sentry_sdk._compat import reraise
from sentry_sdk._types import MYPY
from sentry_sdk.integrations import Integration
from sentry_sdk.utils import event_from_exception, capture_internal_exceptions
if MYPY:
from typing import Any
from typing import TypeVar
from typing import Callable
from typing import Optional
from sentry_sdk._types import ExcInfo
F = TypeVar("F", bound=Callable[..., Any])
class ThreadingIntegration(Integration):
identifier = "threading"
def __init__(self, propagate_hub=False):
# type: (bool) -> None
self.propagate_hub = propagate_hub
@staticmethod
def setup_once():
# type: () -> None
old_start = Thread.start
def sentry_start(self, *a, **kw):
# type: (Thread, *Any, **Any) -> Any
hub = Hub.current
integration = hub.get_integration(ThreadingIntegration)
if integration is not None:
if not integration.propagate_hub:
hub_ = None
else:
hub_ = Hub(hub)
# Patching instance methods in `start()` creates a reference cycle if
# done in a naive way. See
# https://github.com/getsentry/sentry-python/pull/434
#
# In threading module, using current_thread API will access current thread instance
# without holding it to avoid a reference cycle in an easier way.
with capture_internal_exceptions():
new_run = _wrap_run(hub_, getattr(self.run, "__func__", self.run))
self.run = new_run # type: ignore
return old_start(self, *a, **kw)
Thread.start = sentry_start # type: ignore
def _wrap_run(parent_hub, old_run_func):
# type: (Optional[Hub], F) -> F
def run(*a, **kw):
# type: (*Any, **Any) -> Any
hub = parent_hub or Hub.current
with hub:
try:
self = current_thread()
return old_run_func(self, *a, **kw)
except Exception:
reraise(*_capture_exception())
return run # type: ignore
def _capture_exception():
# type: () -> ExcInfo
hub = Hub.current
exc_info = sys.exc_info()
if hub.get_integration(ThreadingIntegration) is not None:
# If an integration is there, a client has to be there.
client = hub.client # type: Any
event, hint = event_from_exception(
exc_info,
client_options=client.options,
mechanism={"type": "threading", "handled": False},
)
hub.capture_event(event, hint=hint)
return exc_info
| 2,840 | Python | 30.21978 | 99 | 0.580986 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/boto3.py | from __future__ import absolute_import
from sentry_sdk import Hub
from sentry_sdk.consts import OP
from sentry_sdk.integrations import Integration, DidNotEnable
from sentry_sdk.tracing import Span
from sentry_sdk._functools import partial
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
from typing import Dict
from typing import Optional
from typing import Type
try:
from botocore import __version__ as BOTOCORE_VERSION # type: ignore
from botocore.client import BaseClient # type: ignore
from botocore.response import StreamingBody # type: ignore
from botocore.awsrequest import AWSRequest # type: ignore
except ImportError:
raise DidNotEnable("botocore is not installed")
class Boto3Integration(Integration):
identifier = "boto3"
@staticmethod
def setup_once():
# type: () -> None
try:
version = tuple(map(int, BOTOCORE_VERSION.split(".")[:3]))
except (ValueError, TypeError):
raise DidNotEnable(
"Unparsable botocore version: {}".format(BOTOCORE_VERSION)
)
if version < (1, 12):
raise DidNotEnable("Botocore 1.12 or newer is required.")
orig_init = BaseClient.__init__
def sentry_patched_init(self, *args, **kwargs):
# type: (Type[BaseClient], *Any, **Any) -> None
orig_init(self, *args, **kwargs)
meta = self.meta
service_id = meta.service_model.service_id.hyphenize()
meta.events.register(
"request-created",
partial(_sentry_request_created, service_id=service_id),
)
meta.events.register("after-call", _sentry_after_call)
meta.events.register("after-call-error", _sentry_after_call_error)
BaseClient.__init__ = sentry_patched_init
def _sentry_request_created(service_id, request, operation_name, **kwargs):
# type: (str, AWSRequest, str, **Any) -> None
hub = Hub.current
if hub.get_integration(Boto3Integration) is None:
return
description = "aws.%s.%s" % (service_id, operation_name)
span = hub.start_span(
hub=hub,
op=OP.HTTP_CLIENT,
description=description,
)
span.set_tag("aws.service_id", service_id)
span.set_tag("aws.operation_name", operation_name)
span.set_data("aws.request.url", request.url)
# We do it in order for subsequent http calls/retries be
# attached to this span.
span.__enter__()
# request.context is an open-ended data-structure
# where we can add anything useful in request life cycle.
request.context["_sentrysdk_span"] = span
def _sentry_after_call(context, parsed, **kwargs):
# type: (Dict[str, Any], Dict[str, Any], **Any) -> None
span = context.pop("_sentrysdk_span", None) # type: Optional[Span]
# Span could be absent if the integration is disabled.
if span is None:
return
span.__exit__(None, None, None)
body = parsed.get("Body")
if not isinstance(body, StreamingBody):
return
streaming_span = span.start_child(
op=OP.HTTP_CLIENT_STREAM,
description=span.description,
)
orig_read = body.read
orig_close = body.close
def sentry_streaming_body_read(*args, **kwargs):
# type: (*Any, **Any) -> bytes
try:
ret = orig_read(*args, **kwargs)
if not ret:
streaming_span.finish()
return ret
except Exception:
streaming_span.finish()
raise
body.read = sentry_streaming_body_read
def sentry_streaming_body_close(*args, **kwargs):
# type: (*Any, **Any) -> None
streaming_span.finish()
orig_close(*args, **kwargs)
body.close = sentry_streaming_body_close
def _sentry_after_call_error(context, exception, **kwargs):
# type: (Dict[str, Any], Type[BaseException], **Any) -> None
span = context.pop("_sentrysdk_span", None) # type: Optional[Span]
# Span could be absent if the integration is disabled.
if span is None:
return
span.__exit__(type(exception), exception, None)
| 4,180 | Python | 30.674242 | 78 | 0.625359 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/aws_lambda.py | from datetime import datetime, timedelta
from os import environ
import sys
from sentry_sdk.consts import OP
from sentry_sdk.hub import Hub, _should_send_default_pii
from sentry_sdk.tracing import TRANSACTION_SOURCE_COMPONENT, Transaction
from sentry_sdk._compat import reraise
from sentry_sdk.utils import (
AnnotatedValue,
capture_internal_exceptions,
event_from_exception,
logger,
TimeoutThread,
)
from sentry_sdk.integrations import Integration
from sentry_sdk.integrations._wsgi_common import _filter_headers
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
from typing import TypeVar
from typing import Callable
from typing import Optional
from sentry_sdk._types import EventProcessor, Event, Hint
F = TypeVar("F", bound=Callable[..., Any])
# Constants
TIMEOUT_WARNING_BUFFER = 1500 # Buffer time required to send timeout warning to Sentry
MILLIS_TO_SECONDS = 1000.0
def _wrap_init_error(init_error):
# type: (F) -> F
def sentry_init_error(*args, **kwargs):
# type: (*Any, **Any) -> Any
hub = Hub.current
integration = hub.get_integration(AwsLambdaIntegration)
if integration is None:
return init_error(*args, **kwargs)
# If an integration is there, a client has to be there.
client = hub.client # type: Any
with capture_internal_exceptions():
with hub.configure_scope() as scope:
scope.clear_breadcrumbs()
exc_info = sys.exc_info()
if exc_info and all(exc_info):
sentry_event, hint = event_from_exception(
exc_info,
client_options=client.options,
mechanism={"type": "aws_lambda", "handled": False},
)
hub.capture_event(sentry_event, hint=hint)
return init_error(*args, **kwargs)
return sentry_init_error # type: ignore
def _wrap_handler(handler):
# type: (F) -> F
def sentry_handler(aws_event, aws_context, *args, **kwargs):
# type: (Any, Any, *Any, **Any) -> Any
# Per https://docs.aws.amazon.com/lambda/latest/dg/python-handler.html,
# `event` here is *likely* a dictionary, but also might be a number of
# other types (str, int, float, None).
#
# In some cases, it is a list (if the user is batch-invoking their
# function, for example), in which case we'll use the first entry as a
# representative from which to try pulling request data. (Presumably it
# will be the same for all events in the list, since they're all hitting
# the lambda in the same request.)
if isinstance(aws_event, list):
request_data = aws_event[0]
batch_size = len(aws_event)
else:
request_data = aws_event
batch_size = 1
if not isinstance(request_data, dict):
# If we're not dealing with a dictionary, we won't be able to get
# headers, path, http method, etc in any case, so it's fine that
# this is empty
request_data = {}
hub = Hub.current
integration = hub.get_integration(AwsLambdaIntegration)
if integration is None:
return handler(aws_event, aws_context, *args, **kwargs)
# If an integration is there, a client has to be there.
client = hub.client # type: Any
configured_time = aws_context.get_remaining_time_in_millis()
with hub.push_scope() as scope:
timeout_thread = None
with capture_internal_exceptions():
scope.clear_breadcrumbs()
scope.add_event_processor(
_make_request_event_processor(
request_data, aws_context, configured_time
)
)
scope.set_tag(
"aws_region", aws_context.invoked_function_arn.split(":")[3]
)
if batch_size > 1:
scope.set_tag("batch_request", True)
scope.set_tag("batch_size", batch_size)
# Starting the Timeout thread only if the configured time is greater than Timeout warning
# buffer and timeout_warning parameter is set True.
if (
integration.timeout_warning
and configured_time > TIMEOUT_WARNING_BUFFER
):
waiting_time = (
configured_time - TIMEOUT_WARNING_BUFFER
) / MILLIS_TO_SECONDS
timeout_thread = TimeoutThread(
waiting_time,
configured_time / MILLIS_TO_SECONDS,
)
# Starting the thread to raise timeout warning exception
timeout_thread.start()
headers = request_data.get("headers")
# AWS Service may set an explicit `{headers: None}`, we can't rely on `.get()`'s default.
if headers is None:
headers = {}
transaction = Transaction.continue_from_headers(
headers,
op=OP.FUNCTION_AWS,
name=aws_context.function_name,
source=TRANSACTION_SOURCE_COMPONENT,
)
with hub.start_transaction(
transaction,
custom_sampling_context={
"aws_event": aws_event,
"aws_context": aws_context,
},
):
try:
return handler(aws_event, aws_context, *args, **kwargs)
except Exception:
exc_info = sys.exc_info()
sentry_event, hint = event_from_exception(
exc_info,
client_options=client.options,
mechanism={"type": "aws_lambda", "handled": False},
)
hub.capture_event(sentry_event, hint=hint)
reraise(*exc_info)
finally:
if timeout_thread:
timeout_thread.stop()
return sentry_handler # type: ignore
def _drain_queue():
# type: () -> None
with capture_internal_exceptions():
hub = Hub.current
integration = hub.get_integration(AwsLambdaIntegration)
if integration is not None:
# Flush out the event queue before AWS kills the
# process.
hub.flush()
class AwsLambdaIntegration(Integration):
identifier = "aws_lambda"
def __init__(self, timeout_warning=False):
# type: (bool) -> None
self.timeout_warning = timeout_warning
@staticmethod
def setup_once():
# type: () -> None
lambda_bootstrap = get_lambda_bootstrap()
if not lambda_bootstrap:
logger.warning(
"Not running in AWS Lambda environment, "
"AwsLambdaIntegration disabled (could not find bootstrap module)"
)
return
if not hasattr(lambda_bootstrap, "handle_event_request"):
logger.warning(
"Not running in AWS Lambda environment, "
"AwsLambdaIntegration disabled (could not find handle_event_request)"
)
return
pre_37 = hasattr(lambda_bootstrap, "handle_http_request") # Python 3.6 or 2.7
if pre_37:
old_handle_event_request = lambda_bootstrap.handle_event_request
def sentry_handle_event_request(request_handler, *args, **kwargs):
# type: (Any, *Any, **Any) -> Any
request_handler = _wrap_handler(request_handler)
return old_handle_event_request(request_handler, *args, **kwargs)
lambda_bootstrap.handle_event_request = sentry_handle_event_request
old_handle_http_request = lambda_bootstrap.handle_http_request
def sentry_handle_http_request(request_handler, *args, **kwargs):
# type: (Any, *Any, **Any) -> Any
request_handler = _wrap_handler(request_handler)
return old_handle_http_request(request_handler, *args, **kwargs)
lambda_bootstrap.handle_http_request = sentry_handle_http_request
# Patch to_json to drain the queue. This should work even when the
# SDK is initialized inside of the handler
old_to_json = lambda_bootstrap.to_json
def sentry_to_json(*args, **kwargs):
# type: (*Any, **Any) -> Any
_drain_queue()
return old_to_json(*args, **kwargs)
lambda_bootstrap.to_json = sentry_to_json
else:
lambda_bootstrap.LambdaRuntimeClient.post_init_error = _wrap_init_error(
lambda_bootstrap.LambdaRuntimeClient.post_init_error
)
old_handle_event_request = lambda_bootstrap.handle_event_request
def sentry_handle_event_request( # type: ignore
lambda_runtime_client, request_handler, *args, **kwargs
):
request_handler = _wrap_handler(request_handler)
return old_handle_event_request(
lambda_runtime_client, request_handler, *args, **kwargs
)
lambda_bootstrap.handle_event_request = sentry_handle_event_request
# Patch the runtime client to drain the queue. This should work
# even when the SDK is initialized inside of the handler
def _wrap_post_function(f):
# type: (F) -> F
def inner(*args, **kwargs):
# type: (*Any, **Any) -> Any
_drain_queue()
return f(*args, **kwargs)
return inner # type: ignore
lambda_bootstrap.LambdaRuntimeClient.post_invocation_result = (
_wrap_post_function(
lambda_bootstrap.LambdaRuntimeClient.post_invocation_result
)
)
lambda_bootstrap.LambdaRuntimeClient.post_invocation_error = (
_wrap_post_function(
lambda_bootstrap.LambdaRuntimeClient.post_invocation_error
)
)
def get_lambda_bootstrap():
# type: () -> Optional[Any]
# Python 2.7: Everything is in `__main__`.
#
# Python 3.7: If the bootstrap module is *already imported*, it is the
# one we actually want to use (no idea what's in __main__)
#
# Python 3.8: bootstrap is also importable, but will be the same file
# as __main__ imported under a different name:
#
# sys.modules['__main__'].__file__ == sys.modules['bootstrap'].__file__
# sys.modules['__main__'] is not sys.modules['bootstrap']
#
# Python 3.9: bootstrap is in __main__.awslambdaricmain
#
# On container builds using the `aws-lambda-python-runtime-interface-client`
# (awslamdaric) module, bootstrap is located in sys.modules['__main__'].bootstrap
#
# Such a setup would then make all monkeypatches useless.
if "bootstrap" in sys.modules:
return sys.modules["bootstrap"]
elif "__main__" in sys.modules:
module = sys.modules["__main__"]
# python3.9 runtime
if hasattr(module, "awslambdaricmain") and hasattr(
module.awslambdaricmain, "bootstrap"
):
return module.awslambdaricmain.bootstrap
elif hasattr(module, "bootstrap"):
# awslambdaric python module in container builds
return module.bootstrap
# python3.8 runtime
return module
else:
return None
def _make_request_event_processor(aws_event, aws_context, configured_timeout):
# type: (Any, Any, Any) -> EventProcessor
start_time = datetime.utcnow()
def event_processor(sentry_event, hint, start_time=start_time):
# type: (Event, Hint, datetime) -> Optional[Event]
remaining_time_in_milis = aws_context.get_remaining_time_in_millis()
exec_duration = configured_timeout - remaining_time_in_milis
extra = sentry_event.setdefault("extra", {})
extra["lambda"] = {
"function_name": aws_context.function_name,
"function_version": aws_context.function_version,
"invoked_function_arn": aws_context.invoked_function_arn,
"aws_request_id": aws_context.aws_request_id,
"execution_duration_in_millis": exec_duration,
"remaining_time_in_millis": remaining_time_in_milis,
}
extra["cloudwatch logs"] = {
"url": _get_cloudwatch_logs_url(aws_context, start_time),
"log_group": aws_context.log_group_name,
"log_stream": aws_context.log_stream_name,
}
request = sentry_event.get("request", {})
if "httpMethod" in aws_event:
request["method"] = aws_event["httpMethod"]
request["url"] = _get_url(aws_event, aws_context)
if "queryStringParameters" in aws_event:
request["query_string"] = aws_event["queryStringParameters"]
if "headers" in aws_event:
request["headers"] = _filter_headers(aws_event["headers"])
if _should_send_default_pii():
user_info = sentry_event.setdefault("user", {})
identity = aws_event.get("identity")
if identity is None:
identity = {}
id = identity.get("userArn")
if id is not None:
user_info.setdefault("id", id)
ip = identity.get("sourceIp")
if ip is not None:
user_info.setdefault("ip_address", ip)
if "body" in aws_event:
request["data"] = aws_event.get("body", "")
else:
if aws_event.get("body", None):
# Unfortunately couldn't find a way to get structured body from AWS
# event. Meaning every body is unstructured to us.
request["data"] = AnnotatedValue.removed_because_raw_data()
sentry_event["request"] = request
return sentry_event
return event_processor
def _get_url(aws_event, aws_context):
# type: (Any, Any) -> str
path = aws_event.get("path", None)
headers = aws_event.get("headers")
if headers is None:
headers = {}
host = headers.get("Host", None)
proto = headers.get("X-Forwarded-Proto", None)
if proto and host and path:
return "{}://{}{}".format(proto, host, path)
return "awslambda:///{}".format(aws_context.function_name)
def _get_cloudwatch_logs_url(aws_context, start_time):
# type: (Any, datetime) -> str
"""
Generates a CloudWatchLogs console URL based on the context object
Arguments:
aws_context {Any} -- context from lambda handler
Returns:
str -- AWS Console URL to logs.
"""
formatstring = "%Y-%m-%dT%H:%M:%SZ"
region = environ.get("AWS_REGION", "")
url = (
"https://console.{domain}/cloudwatch/home?region={region}"
"#logEventViewer:group={log_group};stream={log_stream}"
";start={start_time};end={end_time}"
).format(
domain="amazonaws.cn" if region.startswith("cn-") else "aws.amazon.com",
region=region,
log_group=aws_context.log_group_name,
log_stream=aws_context.log_stream_name,
start_time=(start_time - timedelta(seconds=1)).strftime(formatstring),
end_time=(datetime.utcnow() + timedelta(seconds=2)).strftime(formatstring),
)
return url
| 15,751 | Python | 35.378753 | 105 | 0.57044 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/serverless.py | import sys
from sentry_sdk.hub import Hub
from sentry_sdk.utils import event_from_exception
from sentry_sdk._compat import reraise
from sentry_sdk._functools import wraps
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
from typing import Callable
from typing import TypeVar
from typing import Union
from typing import Optional
from typing import overload
F = TypeVar("F", bound=Callable[..., Any])
else:
def overload(x):
# type: (F) -> F
return x
@overload
def serverless_function(f, flush=True):
# type: (F, bool) -> F
pass
@overload
def serverless_function(f=None, flush=True): # noqa: F811
# type: (None, bool) -> Callable[[F], F]
pass
def serverless_function(f=None, flush=True): # noqa
# type: (Optional[F], bool) -> Union[F, Callable[[F], F]]
def wrapper(f):
# type: (F) -> F
@wraps(f)
def inner(*args, **kwargs):
# type: (*Any, **Any) -> Any
with Hub(Hub.current) as hub:
with hub.configure_scope() as scope:
scope.clear_breadcrumbs()
try:
return f(*args, **kwargs)
except Exception:
_capture_and_reraise()
finally:
if flush:
_flush_client()
return inner # type: ignore
if f is None:
return wrapper
else:
return wrapper(f)
def _capture_and_reraise():
# type: () -> None
exc_info = sys.exc_info()
hub = Hub.current
if hub.client is not None:
event, hint = event_from_exception(
exc_info,
client_options=hub.client.options,
mechanism={"type": "serverless", "handled": False},
)
hub.capture_event(event, hint=hint)
reraise(*exc_info)
def _flush_client():
# type: () -> None
return Hub.current.flush()
| 1,957 | Python | 21.767442 | 63 | 0.556975 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/starlite.py | from typing import TYPE_CHECKING
from pydantic import BaseModel # type: ignore
from sentry_sdk.consts import OP
from sentry_sdk.hub import Hub, _should_send_default_pii
from sentry_sdk.integrations import DidNotEnable, Integration
from sentry_sdk.integrations.asgi import SentryAsgiMiddleware
from sentry_sdk.tracing import SOURCE_FOR_STYLE, TRANSACTION_SOURCE_ROUTE
from sentry_sdk.utils import event_from_exception, transaction_from_function
try:
from starlite import Request, Starlite, State # type: ignore
from starlite.handlers.base import BaseRouteHandler # type: ignore
from starlite.middleware import DefineMiddleware # type: ignore
from starlite.plugins.base import get_plugin_for_value # type: ignore
from starlite.routes.http import HTTPRoute # type: ignore
from starlite.utils import ConnectionDataExtractor, is_async_callable, Ref # type: ignore
if TYPE_CHECKING:
from typing import Any, Dict, List, Optional, Union
from starlite.types import ( # type: ignore
ASGIApp,
HTTPReceiveMessage,
HTTPScope,
Message,
Middleware,
Receive,
Scope,
Send,
WebSocketReceiveMessage,
)
from starlite import MiddlewareProtocol
from sentry_sdk._types import Event
except ImportError:
raise DidNotEnable("Starlite is not installed")
_DEFAULT_TRANSACTION_NAME = "generic Starlite request"
class SentryStarliteASGIMiddleware(SentryAsgiMiddleware):
def __init__(self, app: "ASGIApp"):
super().__init__(
app=app,
unsafe_context_data=False,
transaction_style="endpoint",
mechanism_type="asgi",
)
class StarliteIntegration(Integration):
identifier = "starlite"
@staticmethod
def setup_once() -> None:
patch_app_init()
patch_middlewares()
patch_http_route_handle()
def patch_app_init() -> None:
"""
Replaces the Starlite class's `__init__` function in order to inject `after_exception` handlers and set the
`SentryStarliteASGIMiddleware` as the outmost middleware in the stack.
See:
- https://starlite-api.github.io/starlite/usage/0-the-starlite-app/5-application-hooks/#after-exception
- https://starlite-api.github.io/starlite/usage/7-middleware/0-middleware-intro/
"""
old__init__ = Starlite.__init__
def injection_wrapper(self: "Starlite", *args: "Any", **kwargs: "Any") -> None:
after_exception = kwargs.pop("after_exception", [])
kwargs.update(
after_exception=[
exception_handler,
*(
after_exception
if isinstance(after_exception, list)
else [after_exception]
),
]
)
SentryStarliteASGIMiddleware.__call__ = SentryStarliteASGIMiddleware._run_asgi3
middleware = kwargs.pop("middleware", None) or []
kwargs["middleware"] = [SentryStarliteASGIMiddleware, *middleware]
old__init__(self, *args, **kwargs)
Starlite.__init__ = injection_wrapper
def patch_middlewares() -> None:
old__resolve_middleware_stack = BaseRouteHandler.resolve_middleware
def resolve_middleware_wrapper(self: "Any") -> "List[Middleware]":
return [
enable_span_for_middleware(middleware)
for middleware in old__resolve_middleware_stack(self)
]
BaseRouteHandler.resolve_middleware = resolve_middleware_wrapper
def enable_span_for_middleware(middleware: "Middleware") -> "Middleware":
if (
not hasattr(middleware, "__call__") # noqa: B004
or middleware is SentryStarliteASGIMiddleware
):
return middleware
if isinstance(middleware, DefineMiddleware):
old_call: "ASGIApp" = middleware.middleware.__call__
else:
old_call = middleware.__call__
async def _create_span_call(
self: "MiddlewareProtocol", scope: "Scope", receive: "Receive", send: "Send"
) -> None:
hub = Hub.current
integration = hub.get_integration(StarliteIntegration)
if integration is not None:
middleware_name = self.__class__.__name__
with hub.start_span(
op=OP.MIDDLEWARE_STARLITE, description=middleware_name
) as middleware_span:
middleware_span.set_tag("starlite.middleware_name", middleware_name)
# Creating spans for the "receive" callback
async def _sentry_receive(
*args: "Any", **kwargs: "Any"
) -> "Union[HTTPReceiveMessage, WebSocketReceiveMessage]":
hub = Hub.current
with hub.start_span(
op=OP.MIDDLEWARE_STARLITE_RECEIVE,
description=getattr(receive, "__qualname__", str(receive)),
) as span:
span.set_tag("starlite.middleware_name", middleware_name)
return await receive(*args, **kwargs)
receive_name = getattr(receive, "__name__", str(receive))
receive_patched = receive_name == "_sentry_receive"
new_receive = _sentry_receive if not receive_patched else receive
# Creating spans for the "send" callback
async def _sentry_send(message: "Message") -> None:
hub = Hub.current
with hub.start_span(
op=OP.MIDDLEWARE_STARLITE_SEND,
description=getattr(send, "__qualname__", str(send)),
) as span:
span.set_tag("starlite.middleware_name", middleware_name)
return await send(message)
send_name = getattr(send, "__name__", str(send))
send_patched = send_name == "_sentry_send"
new_send = _sentry_send if not send_patched else send
return await old_call(self, scope, new_receive, new_send)
else:
return await old_call(self, scope, receive, send)
not_yet_patched = old_call.__name__ not in ["_create_span_call"]
if not_yet_patched:
if isinstance(middleware, DefineMiddleware):
middleware.middleware.__call__ = _create_span_call
else:
middleware.__call__ = _create_span_call
return middleware
def patch_http_route_handle() -> None:
old_handle = HTTPRoute.handle
async def handle_wrapper(
self: "HTTPRoute", scope: "HTTPScope", receive: "Receive", send: "Send"
) -> None:
hub = Hub.current
integration: StarliteIntegration = hub.get_integration(StarliteIntegration)
if integration is None:
return await old_handle(self, scope, receive, send)
with hub.configure_scope() as sentry_scope:
request: "Request[Any, Any]" = scope["app"].request_class(
scope=scope, receive=receive, send=send
)
extracted_request_data = ConnectionDataExtractor(
parse_body=True, parse_query=True
)(request)
body = extracted_request_data.pop("body")
request_data = await body
def event_processor(event: "Event", _: "Dict[str, Any]") -> "Event":
route_handler = scope.get("route_handler")
request_info = event.get("request", {})
request_info["content_length"] = len(scope.get("_body", b""))
if _should_send_default_pii():
request_info["cookies"] = extracted_request_data["cookies"]
if request_data is not None:
request_info["data"] = request_data
func = None
if route_handler.name is not None:
tx_name = route_handler.name
elif isinstance(route_handler.fn, Ref):
func = route_handler.fn.value
else:
func = route_handler.fn
if func is not None:
tx_name = transaction_from_function(func)
tx_info = {"source": SOURCE_FOR_STYLE["endpoint"]}
if not tx_name:
tx_name = _DEFAULT_TRANSACTION_NAME
tx_info = {"source": TRANSACTION_SOURCE_ROUTE}
event.update(
request=request_info, transaction=tx_name, transaction_info=tx_info
)
return event
sentry_scope._name = StarliteIntegration.identifier
sentry_scope.add_event_processor(event_processor)
return await old_handle(self, scope, receive, send)
HTTPRoute.handle = handle_wrapper
def retrieve_user_from_scope(scope: "Scope") -> "Optional[Dict[str, Any]]":
scope_user = scope.get("user", {})
if not scope_user:
return None
if isinstance(scope_user, dict):
return scope_user
if isinstance(scope_user, BaseModel):
return scope_user.dict()
if hasattr(scope_user, "asdict"): # dataclasses
return scope_user.asdict()
plugin = get_plugin_for_value(scope_user)
if plugin and not is_async_callable(plugin.to_dict):
return plugin.to_dict(scope_user)
return None
def exception_handler(exc: Exception, scope: "Scope", _: "State") -> None:
hub = Hub.current
if hub.get_integration(StarliteIntegration) is None:
return
user_info: "Optional[Dict[str, Any]]" = None
if _should_send_default_pii():
user_info = retrieve_user_from_scope(scope)
if user_info and isinstance(user_info, dict):
with hub.configure_scope() as sentry_scope:
sentry_scope.set_user(user_info)
event, hint = event_from_exception(
exc,
client_options=hub.client.options if hub.client else None,
mechanism={"type": StarliteIntegration.identifier, "handled": False},
)
hub.capture_event(event, hint=hint)
| 10,090 | Python | 36.099265 | 111 | 0.595837 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/tornado.py | import weakref
import contextlib
from inspect import iscoroutinefunction
from sentry_sdk.consts import OP
from sentry_sdk.hub import Hub, _should_send_default_pii
from sentry_sdk.tracing import (
TRANSACTION_SOURCE_COMPONENT,
TRANSACTION_SOURCE_ROUTE,
Transaction,
)
from sentry_sdk.utils import (
HAS_REAL_CONTEXTVARS,
CONTEXTVARS_ERROR_MESSAGE,
event_from_exception,
capture_internal_exceptions,
transaction_from_function,
)
from sentry_sdk.integrations import Integration, DidNotEnable
from sentry_sdk.integrations._wsgi_common import (
RequestExtractor,
_filter_headers,
_is_json_content_type,
)
from sentry_sdk.integrations.logging import ignore_logger
from sentry_sdk._compat import iteritems
try:
from tornado import version_info as TORNADO_VERSION
from tornado.web import RequestHandler, HTTPError
from tornado.gen import coroutine
except ImportError:
raise DidNotEnable("Tornado not installed")
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
from typing import Optional
from typing import Dict
from typing import Callable
from typing import Generator
from sentry_sdk._types import EventProcessor
class TornadoIntegration(Integration):
identifier = "tornado"
@staticmethod
def setup_once():
# type: () -> None
if TORNADO_VERSION < (5, 0):
raise DidNotEnable("Tornado 5+ required")
if not HAS_REAL_CONTEXTVARS:
# Tornado is async. We better have contextvars or we're going to leak
# state between requests.
raise DidNotEnable(
"The tornado integration for Sentry requires Python 3.7+ or the aiocontextvars package"
+ CONTEXTVARS_ERROR_MESSAGE
)
ignore_logger("tornado.access")
old_execute = RequestHandler._execute
awaitable = iscoroutinefunction(old_execute)
if awaitable:
# Starting Tornado 6 RequestHandler._execute method is a standard Python coroutine (async/await)
# In that case our method should be a coroutine function too
async def sentry_execute_request_handler(self, *args, **kwargs):
# type: (RequestHandler, *Any, **Any) -> Any
with _handle_request_impl(self):
return await old_execute(self, *args, **kwargs)
else:
@coroutine # type: ignore
def sentry_execute_request_handler(self, *args, **kwargs): # type: ignore
# type: (RequestHandler, *Any, **Any) -> Any
with _handle_request_impl(self):
result = yield from old_execute(self, *args, **kwargs)
return result
RequestHandler._execute = sentry_execute_request_handler
old_log_exception = RequestHandler.log_exception
def sentry_log_exception(self, ty, value, tb, *args, **kwargs):
# type: (Any, type, BaseException, Any, *Any, **Any) -> Optional[Any]
_capture_exception(ty, value, tb)
return old_log_exception(self, ty, value, tb, *args, **kwargs)
RequestHandler.log_exception = sentry_log_exception
@contextlib.contextmanager
def _handle_request_impl(self):
# type: (RequestHandler) -> Generator[None, None, None]
hub = Hub.current
integration = hub.get_integration(TornadoIntegration)
if integration is None:
yield
weak_handler = weakref.ref(self)
with Hub(hub) as hub:
with hub.configure_scope() as scope:
scope.clear_breadcrumbs()
processor = _make_event_processor(weak_handler)
scope.add_event_processor(processor)
transaction = Transaction.continue_from_headers(
self.request.headers,
op=OP.HTTP_SERVER,
# Like with all other integrations, this is our
# fallback transaction in case there is no route.
# sentry_urldispatcher_resolve is responsible for
# setting a transaction name later.
name="generic Tornado request",
source=TRANSACTION_SOURCE_ROUTE,
)
with hub.start_transaction(
transaction, custom_sampling_context={"tornado_request": self.request}
):
yield
def _capture_exception(ty, value, tb):
# type: (type, BaseException, Any) -> None
hub = Hub.current
if hub.get_integration(TornadoIntegration) is None:
return
if isinstance(value, HTTPError):
return
# If an integration is there, a client has to be there.
client = hub.client # type: Any
event, hint = event_from_exception(
(ty, value, tb),
client_options=client.options,
mechanism={"type": "tornado", "handled": False},
)
hub.capture_event(event, hint=hint)
def _make_event_processor(weak_handler):
# type: (Callable[[], RequestHandler]) -> EventProcessor
def tornado_processor(event, hint):
# type: (Dict[str, Any], Dict[str, Any]) -> Dict[str, Any]
handler = weak_handler()
if handler is None:
return event
request = handler.request
with capture_internal_exceptions():
method = getattr(handler, handler.request.method.lower())
event["transaction"] = transaction_from_function(method)
event["transaction_info"] = {"source": TRANSACTION_SOURCE_COMPONENT}
with capture_internal_exceptions():
extractor = TornadoRequestExtractor(request)
extractor.extract_into_event(event)
request_info = event["request"]
request_info["url"] = "%s://%s%s" % (
request.protocol,
request.host,
request.path,
)
request_info["query_string"] = request.query
request_info["method"] = request.method
request_info["env"] = {"REMOTE_ADDR": request.remote_ip}
request_info["headers"] = _filter_headers(dict(request.headers))
with capture_internal_exceptions():
if handler.current_user and _should_send_default_pii():
event.setdefault("user", {}).setdefault("is_authenticated", True)
return event
return tornado_processor
class TornadoRequestExtractor(RequestExtractor):
def content_length(self):
# type: () -> int
if self.request.body is None:
return 0
return len(self.request.body)
def cookies(self):
# type: () -> Dict[str, str]
return {k: v.value for k, v in iteritems(self.request.cookies)}
def raw_data(self):
# type: () -> bytes
return self.request.body
def form(self):
# type: () -> Dict[str, Any]
return {
k: [v.decode("latin1", "replace") for v in vs]
for k, vs in iteritems(self.request.body_arguments)
}
def is_json(self):
# type: () -> bool
return _is_json_content_type(self.request.headers.get("content-type"))
def files(self):
# type: () -> Dict[str, Any]
return {k: v[0] for k, v in iteritems(self.request.files) if v}
def size_of_file(self, file):
# type: (Any) -> int
return len(file.body or ())
| 7,307 | Python | 31.193832 | 108 | 0.619406 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/asyncio.py | from __future__ import absolute_import
import sys
from sentry_sdk._compat import reraise
from sentry_sdk.consts import OP
from sentry_sdk.hub import Hub
from sentry_sdk.integrations import Integration, DidNotEnable
from sentry_sdk._types import MYPY
from sentry_sdk.utils import event_from_exception
try:
import asyncio
from asyncio.tasks import Task
except ImportError:
raise DidNotEnable("asyncio not available")
if MYPY:
from typing import Any
from sentry_sdk._types import ExcInfo
def patch_asyncio():
# type: () -> None
orig_task_factory = None
try:
loop = asyncio.get_running_loop()
orig_task_factory = loop.get_task_factory()
def _sentry_task_factory(loop, coro):
# type: (Any, Any) -> Any
async def _coro_creating_hub_and_span():
# type: () -> None
hub = Hub(Hub.current)
with hub:
with hub.start_span(op=OP.FUNCTION, description=coro.__qualname__):
try:
await coro
except Exception:
reraise(*_capture_exception(hub))
# Trying to use user set task factory (if there is one)
if orig_task_factory:
return orig_task_factory(loop, _coro_creating_hub_and_span()) # type: ignore
# The default task factory in `asyncio` does not have its own function
# but is just a couple of lines in `asyncio.base_events.create_task()`
# Those lines are copied here.
# WARNING:
# If the default behavior of the task creation in asyncio changes,
# this will break!
task = Task(_coro_creating_hub_and_span(), loop=loop)
if task._source_traceback: # type: ignore
del task._source_traceback[-1] # type: ignore
return task
loop.set_task_factory(_sentry_task_factory)
except RuntimeError:
# When there is no running loop, we have nothing to patch.
pass
def _capture_exception(hub):
# type: (Hub) -> ExcInfo
exc_info = sys.exc_info()
integration = hub.get_integration(AsyncioIntegration)
if integration is not None:
# If an integration is there, a client has to be there.
client = hub.client # type: Any
event, hint = event_from_exception(
exc_info,
client_options=client.options,
mechanism={"type": "asyncio", "handled": False},
)
hub.capture_event(event, hint=hint)
return exc_info
class AsyncioIntegration(Integration):
identifier = "asyncio"
@staticmethod
def setup_once():
# type: () -> None
patch_asyncio()
| 2,787 | Python | 28.978494 | 93 | 0.592034 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/fastapi.py | import asyncio
import threading
from sentry_sdk._types import MYPY
from sentry_sdk.hub import Hub, _should_send_default_pii
from sentry_sdk.integrations import DidNotEnable
from sentry_sdk.integrations.starlette import (
StarletteIntegration,
StarletteRequestExtractor,
)
from sentry_sdk.tracing import SOURCE_FOR_STYLE, TRANSACTION_SOURCE_ROUTE
from sentry_sdk.utils import transaction_from_function
if MYPY:
from typing import Any, Callable, Dict
from sentry_sdk.scope import Scope
try:
import fastapi # type: ignore
except ImportError:
raise DidNotEnable("FastAPI is not installed")
_DEFAULT_TRANSACTION_NAME = "generic FastAPI request"
class FastApiIntegration(StarletteIntegration):
identifier = "fastapi"
@staticmethod
def setup_once():
# type: () -> None
patch_get_request_handler()
def _set_transaction_name_and_source(scope, transaction_style, request):
# type: (Scope, str, Any) -> None
name = ""
if transaction_style == "endpoint":
endpoint = request.scope.get("endpoint")
if endpoint:
name = transaction_from_function(endpoint) or ""
elif transaction_style == "url":
route = request.scope.get("route")
if route:
path = getattr(route, "path", None)
if path is not None:
name = path
if not name:
name = _DEFAULT_TRANSACTION_NAME
source = TRANSACTION_SOURCE_ROUTE
else:
source = SOURCE_FOR_STYLE[transaction_style]
scope.set_transaction_name(name, source=source)
def patch_get_request_handler():
# type: () -> None
old_get_request_handler = fastapi.routing.get_request_handler
def _sentry_get_request_handler(*args, **kwargs):
# type: (*Any, **Any) -> Any
dependant = kwargs.get("dependant")
if (
dependant
and dependant.call is not None
and not asyncio.iscoroutinefunction(dependant.call)
):
old_call = dependant.call
def _sentry_call(*args, **kwargs):
# type: (*Any, **Any) -> Any
hub = Hub.current
with hub.configure_scope() as sentry_scope:
if sentry_scope.profile is not None:
sentry_scope.profile.active_thread_id = (
threading.current_thread().ident
)
return old_call(*args, **kwargs)
dependant.call = _sentry_call
old_app = old_get_request_handler(*args, **kwargs)
async def _sentry_app(*args, **kwargs):
# type: (*Any, **Any) -> Any
hub = Hub.current
integration = hub.get_integration(FastApiIntegration)
if integration is None:
return await old_app(*args, **kwargs)
with hub.configure_scope() as sentry_scope:
request = args[0]
_set_transaction_name_and_source(
sentry_scope, integration.transaction_style, request
)
extractor = StarletteRequestExtractor(request)
info = await extractor.extract_request_info()
def _make_request_event_processor(req, integration):
# type: (Any, Any) -> Callable[[Dict[str, Any], Dict[str, Any]], Dict[str, Any]]
def event_processor(event, hint):
# type: (Dict[str, Any], Dict[str, Any]) -> Dict[str, Any]
# Extract information from request
request_info = event.get("request", {})
if info:
if "cookies" in info and _should_send_default_pii():
request_info["cookies"] = info["cookies"]
if "data" in info:
request_info["data"] = info["data"]
event["request"] = request_info
return event
return event_processor
sentry_scope._name = FastApiIntegration.identifier
sentry_scope.add_event_processor(
_make_request_event_processor(request, integration)
)
return await old_app(*args, **kwargs)
return _sentry_app
fastapi.routing.get_request_handler = _sentry_get_request_handler
| 4,446 | Python | 31.940741 | 100 | 0.562753 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/excepthook.py | import sys
from sentry_sdk.hub import Hub
from sentry_sdk.utils import capture_internal_exceptions, event_from_exception
from sentry_sdk.integrations import Integration
from sentry_sdk._types import MYPY
if MYPY:
from typing import Callable
from typing import Any
from typing import Type
from typing import Optional
from types import TracebackType
Excepthook = Callable[
[Type[BaseException], BaseException, Optional[TracebackType]],
Any,
]
class ExcepthookIntegration(Integration):
identifier = "excepthook"
always_run = False
def __init__(self, always_run=False):
# type: (bool) -> None
if not isinstance(always_run, bool):
raise ValueError(
"Invalid value for always_run: %s (must be type boolean)"
% (always_run,)
)
self.always_run = always_run
@staticmethod
def setup_once():
# type: () -> None
sys.excepthook = _make_excepthook(sys.excepthook)
def _make_excepthook(old_excepthook):
# type: (Excepthook) -> Excepthook
def sentry_sdk_excepthook(type_, value, traceback):
# type: (Type[BaseException], BaseException, Optional[TracebackType]) -> None
hub = Hub.current
integration = hub.get_integration(ExcepthookIntegration)
if integration is not None and _should_send(integration.always_run):
# If an integration is there, a client has to be there.
client = hub.client # type: Any
with capture_internal_exceptions():
event, hint = event_from_exception(
(type_, value, traceback),
client_options=client.options,
mechanism={"type": "excepthook", "handled": False},
)
hub.capture_event(event, hint=hint)
return old_excepthook(type_, value, traceback)
return sentry_sdk_excepthook
def _should_send(always_run=False):
# type: (bool) -> bool
if always_run:
return True
if hasattr(sys, "ps1"):
# Disable the excepthook for interactive Python shells, otherwise
# every typo gets sent to Sentry.
return False
return True
| 2,242 | Python | 27.392405 | 85 | 0.621766 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/chalice.py | import sys
from sentry_sdk._compat import reraise
from sentry_sdk.hub import Hub
from sentry_sdk.integrations import Integration, DidNotEnable
from sentry_sdk.integrations.aws_lambda import _make_request_event_processor
from sentry_sdk.tracing import TRANSACTION_SOURCE_COMPONENT
from sentry_sdk.utils import (
capture_internal_exceptions,
event_from_exception,
)
from sentry_sdk._types import MYPY
from sentry_sdk._functools import wraps
import chalice # type: ignore
from chalice import Chalice, ChaliceViewError
from chalice.app import EventSourceHandler as ChaliceEventSourceHandler # type: ignore
if MYPY:
from typing import Any
from typing import Dict
from typing import TypeVar
from typing import Callable
F = TypeVar("F", bound=Callable[..., Any])
try:
from chalice import __version__ as CHALICE_VERSION
except ImportError:
raise DidNotEnable("Chalice is not installed")
class EventSourceHandler(ChaliceEventSourceHandler): # type: ignore
def __call__(self, event, context):
# type: (Any, Any) -> Any
hub = Hub.current
client = hub.client # type: Any
with hub.push_scope() as scope:
with capture_internal_exceptions():
configured_time = context.get_remaining_time_in_millis()
scope.add_event_processor(
_make_request_event_processor(event, context, configured_time)
)
try:
return ChaliceEventSourceHandler.__call__(self, event, context)
except Exception:
exc_info = sys.exc_info()
event, hint = event_from_exception(
exc_info,
client_options=client.options,
mechanism={"type": "chalice", "handled": False},
)
hub.capture_event(event, hint=hint)
hub.flush()
reraise(*exc_info)
def _get_view_function_response(app, view_function, function_args):
# type: (Any, F, Any) -> F
@wraps(view_function)
def wrapped_view_function(**function_args):
# type: (**Any) -> Any
hub = Hub.current
client = hub.client # type: Any
with hub.push_scope() as scope:
with capture_internal_exceptions():
configured_time = app.lambda_context.get_remaining_time_in_millis()
scope.set_transaction_name(
app.lambda_context.function_name,
source=TRANSACTION_SOURCE_COMPONENT,
)
scope.add_event_processor(
_make_request_event_processor(
app.current_request.to_dict(),
app.lambda_context,
configured_time,
)
)
try:
return view_function(**function_args)
except Exception as exc:
if isinstance(exc, ChaliceViewError):
raise
exc_info = sys.exc_info()
event, hint = event_from_exception(
exc_info,
client_options=client.options,
mechanism={"type": "chalice", "handled": False},
)
hub.capture_event(event, hint=hint)
hub.flush()
raise
return wrapped_view_function # type: ignore
class ChaliceIntegration(Integration):
identifier = "chalice"
@staticmethod
def setup_once():
# type: () -> None
try:
version = tuple(map(int, CHALICE_VERSION.split(".")[:3]))
except (ValueError, TypeError):
raise DidNotEnable("Unparsable Chalice version: {}".format(CHALICE_VERSION))
if version < (1, 20):
old_get_view_function_response = Chalice._get_view_function_response
else:
from chalice.app import RestAPIEventHandler
old_get_view_function_response = (
RestAPIEventHandler._get_view_function_response
)
def sentry_event_response(app, view_function, function_args):
# type: (Any, F, Dict[str, Any]) -> Any
wrapped_view_function = _get_view_function_response(
app, view_function, function_args
)
return old_get_view_function_response(
app, wrapped_view_function, function_args
)
if version < (1, 20):
Chalice._get_view_function_response = sentry_event_response
else:
RestAPIEventHandler._get_view_function_response = sentry_event_response
# for everything else (like events)
chalice.app.EventSourceHandler = EventSourceHandler
| 4,775 | Python | 34.641791 | 88 | 0.578429 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/stdlib.py | import os
import subprocess
import sys
import platform
from sentry_sdk.consts import OP
from sentry_sdk.hub import Hub
from sentry_sdk.integrations import Integration
from sentry_sdk.scope import add_global_event_processor
from sentry_sdk.tracing_utils import EnvironHeaders
from sentry_sdk.utils import capture_internal_exceptions, logger, safe_repr
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
from typing import Callable
from typing import Dict
from typing import Optional
from typing import List
from sentry_sdk._types import Event, Hint
try:
from httplib import HTTPConnection # type: ignore
except ImportError:
from http.client import HTTPConnection
_RUNTIME_CONTEXT = {
"name": platform.python_implementation(),
"version": "%s.%s.%s" % (sys.version_info[:3]),
"build": sys.version,
}
class StdlibIntegration(Integration):
identifier = "stdlib"
@staticmethod
def setup_once():
# type: () -> None
_install_httplib()
_install_subprocess()
@add_global_event_processor
def add_python_runtime_context(event, hint):
# type: (Event, Hint) -> Optional[Event]
if Hub.current.get_integration(StdlibIntegration) is not None:
contexts = event.setdefault("contexts", {})
if isinstance(contexts, dict) and "runtime" not in contexts:
contexts["runtime"] = _RUNTIME_CONTEXT
return event
def _install_httplib():
# type: () -> None
real_putrequest = HTTPConnection.putrequest
real_getresponse = HTTPConnection.getresponse
def putrequest(self, method, url, *args, **kwargs):
# type: (HTTPConnection, str, str, *Any, **Any) -> Any
hub = Hub.current
if hub.get_integration(StdlibIntegration) is None:
return real_putrequest(self, method, url, *args, **kwargs)
host = self.host
port = self.port
default_port = self.default_port
real_url = url
if real_url is None or not real_url.startswith(("http://", "https://")):
real_url = "%s://%s%s%s" % (
default_port == 443 and "https" or "http",
host,
port != default_port and ":%s" % port or "",
url,
)
span = hub.start_span(
op=OP.HTTP_CLIENT, description="%s %s" % (method, real_url)
)
span.set_data("method", method)
span.set_data("url", real_url)
rv = real_putrequest(self, method, url, *args, **kwargs)
for key, value in hub.iter_trace_propagation_headers(span):
logger.debug(
"[Tracing] Adding `{key}` header {value} to outgoing request to {real_url}.".format(
key=key, value=value, real_url=real_url
)
)
self.putheader(key, value)
self._sentrysdk_span = span
return rv
def getresponse(self, *args, **kwargs):
# type: (HTTPConnection, *Any, **Any) -> Any
span = getattr(self, "_sentrysdk_span", None)
if span is None:
return real_getresponse(self, *args, **kwargs)
rv = real_getresponse(self, *args, **kwargs)
span.set_data("status_code", rv.status)
span.set_http_status(int(rv.status))
span.set_data("reason", rv.reason)
span.finish()
return rv
HTTPConnection.putrequest = putrequest
HTTPConnection.getresponse = getresponse
def _init_argument(args, kwargs, name, position, setdefault_callback=None):
# type: (List[Any], Dict[Any, Any], str, int, Optional[Callable[[Any], Any]]) -> Any
"""
given (*args, **kwargs) of a function call, retrieve (and optionally set a
default for) an argument by either name or position.
This is useful for wrapping functions with complex type signatures and
extracting a few arguments without needing to redefine that function's
entire type signature.
"""
if name in kwargs:
rv = kwargs[name]
if setdefault_callback is not None:
rv = setdefault_callback(rv)
if rv is not None:
kwargs[name] = rv
elif position < len(args):
rv = args[position]
if setdefault_callback is not None:
rv = setdefault_callback(rv)
if rv is not None:
args[position] = rv
else:
rv = setdefault_callback and setdefault_callback(None)
if rv is not None:
kwargs[name] = rv
return rv
def _install_subprocess():
# type: () -> None
old_popen_init = subprocess.Popen.__init__
def sentry_patched_popen_init(self, *a, **kw):
# type: (subprocess.Popen[Any], *Any, **Any) -> None
hub = Hub.current
if hub.get_integration(StdlibIntegration) is None:
return old_popen_init(self, *a, **kw)
# Convert from tuple to list to be able to set values.
a = list(a)
args = _init_argument(a, kw, "args", 0) or []
cwd = _init_argument(a, kw, "cwd", 9)
# if args is not a list or tuple (and e.g. some iterator instead),
# let's not use it at all. There are too many things that can go wrong
# when trying to collect an iterator into a list and setting that list
# into `a` again.
#
# Also invocations where `args` is not a sequence are not actually
# legal. They just happen to work under CPython.
description = None
if isinstance(args, (list, tuple)) and len(args) < 100:
with capture_internal_exceptions():
description = " ".join(map(str, args))
if description is None:
description = safe_repr(args)
env = None
with hub.start_span(op=OP.SUBPROCESS, description=description) as span:
for k, v in hub.iter_trace_propagation_headers(span):
if env is None:
env = _init_argument(
a, kw, "env", 10, lambda x: dict(x or os.environ)
)
env["SUBPROCESS_" + k.upper().replace("-", "_")] = v
if cwd:
span.set_data("subprocess.cwd", cwd)
rv = old_popen_init(self, *a, **kw)
span.set_tag("subprocess.pid", self.pid)
return rv
subprocess.Popen.__init__ = sentry_patched_popen_init # type: ignore
old_popen_wait = subprocess.Popen.wait
def sentry_patched_popen_wait(self, *a, **kw):
# type: (subprocess.Popen[Any], *Any, **Any) -> Any
hub = Hub.current
if hub.get_integration(StdlibIntegration) is None:
return old_popen_wait(self, *a, **kw)
with hub.start_span(op=OP.SUBPROCESS_WAIT) as span:
span.set_tag("subprocess.pid", self.pid)
return old_popen_wait(self, *a, **kw)
subprocess.Popen.wait = sentry_patched_popen_wait # type: ignore
old_popen_communicate = subprocess.Popen.communicate
def sentry_patched_popen_communicate(self, *a, **kw):
# type: (subprocess.Popen[Any], *Any, **Any) -> Any
hub = Hub.current
if hub.get_integration(StdlibIntegration) is None:
return old_popen_communicate(self, *a, **kw)
with hub.start_span(op=OP.SUBPROCESS_COMMUNICATE) as span:
span.set_tag("subprocess.pid", self.pid)
return old_popen_communicate(self, *a, **kw)
subprocess.Popen.communicate = sentry_patched_popen_communicate # type: ignore
def get_subprocess_traceparent_headers():
# type: () -> EnvironHeaders
return EnvironHeaders(os.environ, prefix="SUBPROCESS_")
| 7,705 | Python | 30.975104 | 100 | 0.597404 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/starlette.py | from __future__ import absolute_import
import asyncio
import functools
import threading
from sentry_sdk._compat import iteritems
from sentry_sdk._types import MYPY
from sentry_sdk.consts import OP
from sentry_sdk.hub import Hub, _should_send_default_pii
from sentry_sdk.integrations import DidNotEnable, Integration
from sentry_sdk.integrations._wsgi_common import (
_is_json_content_type,
request_body_within_bounds,
)
from sentry_sdk.integrations.asgi import SentryAsgiMiddleware
from sentry_sdk.tracing import SOURCE_FOR_STYLE, TRANSACTION_SOURCE_ROUTE
from sentry_sdk.utils import (
AnnotatedValue,
capture_internal_exceptions,
event_from_exception,
transaction_from_function,
)
if MYPY:
from typing import Any, Awaitable, Callable, Dict, Optional
from sentry_sdk.scope import Scope as SentryScope
try:
import starlette # type: ignore
from starlette.applications import Starlette # type: ignore
from starlette.datastructures import UploadFile # type: ignore
from starlette.middleware import Middleware # type: ignore
from starlette.middleware.authentication import ( # type: ignore
AuthenticationMiddleware,
)
from starlette.requests import Request # type: ignore
from starlette.routing import Match # type: ignore
from starlette.types import ASGIApp, Receive, Scope as StarletteScope, Send # type: ignore
except ImportError:
raise DidNotEnable("Starlette is not installed")
try:
# Starlette 0.20
from starlette.middleware.exceptions import ExceptionMiddleware # type: ignore
except ImportError:
# Startlette 0.19.1
from starlette.exceptions import ExceptionMiddleware # type: ignore
try:
# Optional dependency of Starlette to parse form data.
import multipart # type: ignore
except ImportError:
multipart = None
_DEFAULT_TRANSACTION_NAME = "generic Starlette request"
TRANSACTION_STYLE_VALUES = ("endpoint", "url")
class StarletteIntegration(Integration):
identifier = "starlette"
transaction_style = ""
def __init__(self, transaction_style="url"):
# type: (str) -> None
if transaction_style not in TRANSACTION_STYLE_VALUES:
raise ValueError(
"Invalid value for transaction_style: %s (must be in %s)"
% (transaction_style, TRANSACTION_STYLE_VALUES)
)
self.transaction_style = transaction_style
@staticmethod
def setup_once():
# type: () -> None
patch_middlewares()
patch_asgi_app()
patch_request_response()
def _enable_span_for_middleware(middleware_class):
# type: (Any) -> type
old_call = middleware_class.__call__
async def _create_span_call(app, scope, receive, send, **kwargs):
# type: (Any, Dict[str, Any], Callable[[], Awaitable[Dict[str, Any]]], Callable[[Dict[str, Any]], Awaitable[None]], Any) -> None
hub = Hub.current
integration = hub.get_integration(StarletteIntegration)
if integration is not None:
middleware_name = app.__class__.__name__
with hub.start_span(
op=OP.MIDDLEWARE_STARLETTE, description=middleware_name
) as middleware_span:
middleware_span.set_tag("starlette.middleware_name", middleware_name)
# Creating spans for the "receive" callback
async def _sentry_receive(*args, **kwargs):
# type: (*Any, **Any) -> Any
hub = Hub.current
with hub.start_span(
op=OP.MIDDLEWARE_STARLETTE_RECEIVE,
description=getattr(receive, "__qualname__", str(receive)),
) as span:
span.set_tag("starlette.middleware_name", middleware_name)
return await receive(*args, **kwargs)
receive_name = getattr(receive, "__name__", str(receive))
receive_patched = receive_name == "_sentry_receive"
new_receive = _sentry_receive if not receive_patched else receive
# Creating spans for the "send" callback
async def _sentry_send(*args, **kwargs):
# type: (*Any, **Any) -> Any
hub = Hub.current
with hub.start_span(
op=OP.MIDDLEWARE_STARLETTE_SEND,
description=getattr(send, "__qualname__", str(send)),
) as span:
span.set_tag("starlette.middleware_name", middleware_name)
return await send(*args, **kwargs)
send_name = getattr(send, "__name__", str(send))
send_patched = send_name == "_sentry_send"
new_send = _sentry_send if not send_patched else send
return await old_call(app, scope, new_receive, new_send, **kwargs)
else:
return await old_call(app, scope, receive, send, **kwargs)
not_yet_patched = old_call.__name__ not in [
"_create_span_call",
"_sentry_authenticationmiddleware_call",
"_sentry_exceptionmiddleware_call",
]
if not_yet_patched:
middleware_class.__call__ = _create_span_call
return middleware_class
def _capture_exception(exception, handled=False):
# type: (BaseException, **Any) -> None
hub = Hub.current
if hub.get_integration(StarletteIntegration) is None:
return
event, hint = event_from_exception(
exception,
client_options=hub.client.options if hub.client else None,
mechanism={"type": StarletteIntegration.identifier, "handled": handled},
)
hub.capture_event(event, hint=hint)
def patch_exception_middleware(middleware_class):
# type: (Any) -> None
"""
Capture all exceptions in Starlette app and
also extract user information.
"""
old_middleware_init = middleware_class.__init__
not_yet_patched = "_sentry_middleware_init" not in str(old_middleware_init)
if not_yet_patched:
def _sentry_middleware_init(self, *args, **kwargs):
# type: (Any, Any, Any) -> None
old_middleware_init(self, *args, **kwargs)
# Patch existing exception handlers
old_handlers = self._exception_handlers.copy()
async def _sentry_patched_exception_handler(self, *args, **kwargs):
# type: (Any, Any, Any) -> None
exp = args[0]
is_http_server_error = (
hasattr(exp, "status_code") and exp.status_code >= 500
)
if is_http_server_error:
_capture_exception(exp, handled=True)
# Find a matching handler
old_handler = None
for cls in type(exp).__mro__:
if cls in old_handlers:
old_handler = old_handlers[cls]
break
if old_handler is None:
return
if _is_async_callable(old_handler):
return await old_handler(self, *args, **kwargs)
else:
return old_handler(self, *args, **kwargs)
for key in self._exception_handlers.keys():
self._exception_handlers[key] = _sentry_patched_exception_handler
middleware_class.__init__ = _sentry_middleware_init
old_call = middleware_class.__call__
async def _sentry_exceptionmiddleware_call(self, scope, receive, send):
# type: (Dict[str, Any], Dict[str, Any], Callable[[], Awaitable[Dict[str, Any]]], Callable[[Dict[str, Any]], Awaitable[None]]) -> None
# Also add the user (that was eventually set by be Authentication middle
# that was called before this middleware). This is done because the authentication
# middleware sets the user in the scope and then (in the same function)
# calls this exception middelware. In case there is no exception (or no handler
# for the type of exception occuring) then the exception bubbles up and setting the
# user information into the sentry scope is done in auth middleware and the
# ASGI middleware will then send everything to Sentry and this is fine.
# But if there is an exception happening that the exception middleware here
# has a handler for, it will send the exception directly to Sentry, so we need
# the user information right now.
# This is why we do it here.
_add_user_to_sentry_scope(scope)
await old_call(self, scope, receive, send)
middleware_class.__call__ = _sentry_exceptionmiddleware_call
def _add_user_to_sentry_scope(scope):
# type: (Dict[str, Any]) -> None
"""
Extracts user information from the ASGI scope and
adds it to Sentry's scope.
"""
if "user" not in scope:
return
if not _should_send_default_pii():
return
hub = Hub.current
if hub.get_integration(StarletteIntegration) is None:
return
with hub.configure_scope() as sentry_scope:
user_info = {} # type: Dict[str, Any]
starlette_user = scope["user"]
username = getattr(starlette_user, "username", None)
if username:
user_info.setdefault("username", starlette_user.username)
user_id = getattr(starlette_user, "id", None)
if user_id:
user_info.setdefault("id", starlette_user.id)
email = getattr(starlette_user, "email", None)
if email:
user_info.setdefault("email", starlette_user.email)
sentry_scope.user = user_info
def patch_authentication_middleware(middleware_class):
# type: (Any) -> None
"""
Add user information to Sentry scope.
"""
old_call = middleware_class.__call__
not_yet_patched = "_sentry_authenticationmiddleware_call" not in str(old_call)
if not_yet_patched:
async def _sentry_authenticationmiddleware_call(self, scope, receive, send):
# type: (Dict[str, Any], Dict[str, Any], Callable[[], Awaitable[Dict[str, Any]]], Callable[[Dict[str, Any]], Awaitable[None]]) -> None
await old_call(self, scope, receive, send)
_add_user_to_sentry_scope(scope)
middleware_class.__call__ = _sentry_authenticationmiddleware_call
def patch_middlewares():
# type: () -> None
"""
Patches Starlettes `Middleware` class to record
spans for every middleware invoked.
"""
old_middleware_init = Middleware.__init__
not_yet_patched = "_sentry_middleware_init" not in str(old_middleware_init)
if not_yet_patched:
def _sentry_middleware_init(self, cls, **options):
# type: (Any, Any, Any) -> None
if cls == SentryAsgiMiddleware:
return old_middleware_init(self, cls, **options)
span_enabled_cls = _enable_span_for_middleware(cls)
old_middleware_init(self, span_enabled_cls, **options)
if cls == AuthenticationMiddleware:
patch_authentication_middleware(cls)
if cls == ExceptionMiddleware:
patch_exception_middleware(cls)
Middleware.__init__ = _sentry_middleware_init
def patch_asgi_app():
# type: () -> None
"""
Instrument Starlette ASGI app using the SentryAsgiMiddleware.
"""
old_app = Starlette.__call__
async def _sentry_patched_asgi_app(self, scope, receive, send):
# type: (Starlette, StarletteScope, Receive, Send) -> None
if Hub.current.get_integration(StarletteIntegration) is None:
return await old_app(self, scope, receive, send)
middleware = SentryAsgiMiddleware(
lambda *a, **kw: old_app(self, *a, **kw),
mechanism_type=StarletteIntegration.identifier,
)
middleware.__call__ = middleware._run_asgi3
return await middleware(scope, receive, send)
Starlette.__call__ = _sentry_patched_asgi_app
# This was vendored in from Starlette to support Starlette 0.19.1 because
# this function was only introduced in 0.20.x
def _is_async_callable(obj):
# type: (Any) -> bool
while isinstance(obj, functools.partial):
obj = obj.func
return asyncio.iscoroutinefunction(obj) or (
callable(obj) and asyncio.iscoroutinefunction(obj.__call__)
)
def patch_request_response():
# type: () -> None
old_request_response = starlette.routing.request_response
def _sentry_request_response(func):
# type: (Callable[[Any], Any]) -> ASGIApp
old_func = func
is_coroutine = _is_async_callable(old_func)
if is_coroutine:
async def _sentry_async_func(*args, **kwargs):
# type: (*Any, **Any) -> Any
hub = Hub.current
integration = hub.get_integration(StarletteIntegration)
if integration is None:
return await old_func(*args, **kwargs)
with hub.configure_scope() as sentry_scope:
request = args[0]
_set_transaction_name_and_source(
sentry_scope, integration.transaction_style, request
)
extractor = StarletteRequestExtractor(request)
info = await extractor.extract_request_info()
def _make_request_event_processor(req, integration):
# type: (Any, Any) -> Callable[[Dict[str, Any], Dict[str, Any]], Dict[str, Any]]
def event_processor(event, hint):
# type: (Dict[str, Any], Dict[str, Any]) -> Dict[str, Any]
# Add info from request to event
request_info = event.get("request", {})
if info:
if "cookies" in info:
request_info["cookies"] = info["cookies"]
if "data" in info:
request_info["data"] = info["data"]
event["request"] = request_info
return event
return event_processor
sentry_scope._name = StarletteIntegration.identifier
sentry_scope.add_event_processor(
_make_request_event_processor(request, integration)
)
return await old_func(*args, **kwargs)
func = _sentry_async_func
else:
def _sentry_sync_func(*args, **kwargs):
# type: (*Any, **Any) -> Any
hub = Hub.current
integration = hub.get_integration(StarletteIntegration)
if integration is None:
return old_func(*args, **kwargs)
with hub.configure_scope() as sentry_scope:
if sentry_scope.profile is not None:
sentry_scope.profile.active_thread_id = (
threading.current_thread().ident
)
request = args[0]
_set_transaction_name_and_source(
sentry_scope, integration.transaction_style, request
)
extractor = StarletteRequestExtractor(request)
cookies = extractor.extract_cookies_from_request()
def _make_request_event_processor(req, integration):
# type: (Any, Any) -> Callable[[Dict[str, Any], Dict[str, Any]], Dict[str, Any]]
def event_processor(event, hint):
# type: (Dict[str, Any], Dict[str, Any]) -> Dict[str, Any]
# Extract information from request
request_info = event.get("request", {})
if cookies:
request_info["cookies"] = cookies
event["request"] = request_info
return event
return event_processor
sentry_scope._name = StarletteIntegration.identifier
sentry_scope.add_event_processor(
_make_request_event_processor(request, integration)
)
return old_func(*args, **kwargs)
func = _sentry_sync_func
return old_request_response(func)
starlette.routing.request_response = _sentry_request_response
class StarletteRequestExtractor:
"""
Extracts useful information from the Starlette request
(like form data or cookies) and adds it to the Sentry event.
"""
request = None # type: Request
def __init__(self, request):
# type: (StarletteRequestExtractor, Request) -> None
self.request = request
def extract_cookies_from_request(self):
# type: (StarletteRequestExtractor) -> Optional[Dict[str, Any]]
client = Hub.current.client
if client is None:
return None
cookies = None # type: Optional[Dict[str, Any]]
if _should_send_default_pii():
cookies = self.cookies()
return cookies
async def extract_request_info(self):
# type: (StarletteRequestExtractor) -> Optional[Dict[str, Any]]
client = Hub.current.client
if client is None:
return None
request_info = {} # type: Dict[str, Any]
with capture_internal_exceptions():
# Add cookies
if _should_send_default_pii():
request_info["cookies"] = self.cookies()
# If there is no body, just return the cookies
content_length = await self.content_length()
if not content_length:
return request_info
# Add annotation if body is too big
if content_length and not request_body_within_bounds(
client, content_length
):
request_info["data"] = AnnotatedValue.removed_because_over_size_limit()
return request_info
# Add JSON body, if it is a JSON request
json = await self.json()
if json:
request_info["data"] = json
return request_info
# Add form as key/value pairs, if request has form data
form = await self.form()
if form:
form_data = {}
for key, val in iteritems(form):
is_file = isinstance(val, UploadFile)
form_data[key] = (
val
if not is_file
else AnnotatedValue.removed_because_raw_data()
)
request_info["data"] = form_data
return request_info
# Raw data, do not add body just an annotation
request_info["data"] = AnnotatedValue.removed_because_raw_data()
return request_info
async def content_length(self):
# type: (StarletteRequestExtractor) -> Optional[int]
if "content-length" in self.request.headers:
return int(self.request.headers["content-length"])
return None
def cookies(self):
# type: (StarletteRequestExtractor) -> Dict[str, Any]
return self.request.cookies
async def form(self):
# type: (StarletteRequestExtractor) -> Any
if multipart is None:
return None
# Parse the body first to get it cached, as Starlette does not cache form() as it
# does with body() and json() https://github.com/encode/starlette/discussions/1933
# Calling `.form()` without calling `.body()` first will
# potentially break the users project.
await self.request.body()
return await self.request.form()
def is_json(self):
# type: (StarletteRequestExtractor) -> bool
return _is_json_content_type(self.request.headers.get("content-type"))
async def json(self):
# type: (StarletteRequestExtractor) -> Optional[Dict[str, Any]]
if not self.is_json():
return None
return await self.request.json()
def _set_transaction_name_and_source(scope, transaction_style, request):
# type: (SentryScope, str, Any) -> None
name = ""
if transaction_style == "endpoint":
endpoint = request.scope.get("endpoint")
if endpoint:
name = transaction_from_function(endpoint) or ""
elif transaction_style == "url":
router = request.scope["router"]
for route in router.routes:
match = route.matches(request.scope)
if match[0] == Match.FULL:
if transaction_style == "endpoint":
name = transaction_from_function(match[1]["endpoint"]) or ""
break
elif transaction_style == "url":
name = route.path
break
if not name:
name = _DEFAULT_TRANSACTION_NAME
source = TRANSACTION_SOURCE_ROUTE
else:
source = SOURCE_FOR_STYLE[transaction_style]
scope.set_transaction_name(name, source=source)
| 21,474 | Python | 34.911371 | 146 | 0.575626 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/atexit.py | from __future__ import absolute_import
import os
import sys
import atexit
from sentry_sdk.hub import Hub
from sentry_sdk.utils import logger
from sentry_sdk.integrations import Integration
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
from typing import Optional
def default_callback(pending, timeout):
# type: (int, int) -> None
"""This is the default shutdown callback that is set on the options.
It prints out a message to stderr that informs the user that some events
are still pending and the process is waiting for them to flush out.
"""
def echo(msg):
# type: (str) -> None
sys.stderr.write(msg + "\n")
echo("Sentry is attempting to send %i pending error messages" % pending)
echo("Waiting up to %s seconds" % timeout)
echo("Press Ctrl-%s to quit" % (os.name == "nt" and "Break" or "C"))
sys.stderr.flush()
class AtexitIntegration(Integration):
identifier = "atexit"
def __init__(self, callback=None):
# type: (Optional[Any]) -> None
if callback is None:
callback = default_callback
self.callback = callback
@staticmethod
def setup_once():
# type: () -> None
@atexit.register
def _shutdown():
# type: () -> None
logger.debug("atexit: got shutdown signal")
hub = Hub.main
integration = hub.get_integration(AtexitIntegration)
if integration is not None:
logger.debug("atexit: shutting down client")
# If there is a session on the hub, close it now.
hub.end_session()
# If an integration is there, a client has to be there.
client = hub.client # type: Any
client.close(callback=integration.callback)
| 1,837 | Python | 28.174603 | 76 | 0.616766 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/falcon.py | from __future__ import absolute_import
from sentry_sdk.hub import Hub
from sentry_sdk.integrations import Integration, DidNotEnable
from sentry_sdk.integrations._wsgi_common import RequestExtractor
from sentry_sdk.integrations.wsgi import SentryWsgiMiddleware
from sentry_sdk.tracing import SOURCE_FOR_STYLE
from sentry_sdk.utils import (
capture_internal_exceptions,
event_from_exception,
)
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
from typing import Dict
from typing import Optional
from sentry_sdk._types import EventProcessor
try:
import falcon # type: ignore
import falcon.api_helpers # type: ignore
from falcon import __version__ as FALCON_VERSION
except ImportError:
raise DidNotEnable("Falcon not installed")
class FalconRequestExtractor(RequestExtractor):
def env(self):
# type: () -> Dict[str, Any]
return self.request.env
def cookies(self):
# type: () -> Dict[str, Any]
return self.request.cookies
def form(self):
# type: () -> None
return None # No such concept in Falcon
def files(self):
# type: () -> None
return None # No such concept in Falcon
def raw_data(self):
# type: () -> Optional[str]
# As request data can only be read once we won't make this available
# to Sentry. Just send back a dummy string in case there was a
# content length.
# TODO(jmagnusson): Figure out if there's a way to support this
content_length = self.content_length()
if content_length > 0:
return "[REQUEST_CONTAINING_RAW_DATA]"
else:
return None
def json(self):
# type: () -> Optional[Dict[str, Any]]
try:
return self.request.media
except falcon.errors.HTTPBadRequest:
# NOTE(jmagnusson): We return `falcon.Request._media` here because
# falcon 1.4 doesn't do proper type checking in
# `falcon.Request.media`. This has been fixed in 2.0.
# Relevant code: https://github.com/falconry/falcon/blob/1.4.1/falcon/request.py#L953
return self.request._media
class SentryFalconMiddleware(object):
"""Captures exceptions in Falcon requests and send to Sentry"""
def process_request(self, req, resp, *args, **kwargs):
# type: (Any, Any, *Any, **Any) -> None
hub = Hub.current
integration = hub.get_integration(FalconIntegration)
if integration is None:
return
with hub.configure_scope() as scope:
scope._name = "falcon"
scope.add_event_processor(_make_request_event_processor(req, integration))
TRANSACTION_STYLE_VALUES = ("uri_template", "path")
class FalconIntegration(Integration):
identifier = "falcon"
transaction_style = ""
def __init__(self, transaction_style="uri_template"):
# type: (str) -> None
if transaction_style not in TRANSACTION_STYLE_VALUES:
raise ValueError(
"Invalid value for transaction_style: %s (must be in %s)"
% (transaction_style, TRANSACTION_STYLE_VALUES)
)
self.transaction_style = transaction_style
@staticmethod
def setup_once():
# type: () -> None
try:
version = tuple(map(int, FALCON_VERSION.split(".")))
except (ValueError, TypeError):
raise DidNotEnable("Unparsable Falcon version: {}".format(FALCON_VERSION))
if version < (1, 4):
raise DidNotEnable("Falcon 1.4 or newer required.")
_patch_wsgi_app()
_patch_handle_exception()
_patch_prepare_middleware()
def _patch_wsgi_app():
# type: () -> None
original_wsgi_app = falcon.API.__call__
def sentry_patched_wsgi_app(self, env, start_response):
# type: (falcon.API, Any, Any) -> Any
hub = Hub.current
integration = hub.get_integration(FalconIntegration)
if integration is None:
return original_wsgi_app(self, env, start_response)
sentry_wrapped = SentryWsgiMiddleware(
lambda envi, start_resp: original_wsgi_app(self, envi, start_resp)
)
return sentry_wrapped(env, start_response)
falcon.API.__call__ = sentry_patched_wsgi_app
def _patch_handle_exception():
# type: () -> None
original_handle_exception = falcon.API._handle_exception
def sentry_patched_handle_exception(self, *args):
# type: (falcon.API, *Any) -> Any
# NOTE(jmagnusson): falcon 2.0 changed falcon.API._handle_exception
# method signature from `(ex, req, resp, params)` to
# `(req, resp, ex, params)`
if isinstance(args[0], Exception):
ex = args[0]
else:
ex = args[2]
was_handled = original_handle_exception(self, *args)
hub = Hub.current
integration = hub.get_integration(FalconIntegration)
if integration is not None and _exception_leads_to_http_5xx(ex):
# If an integration is there, a client has to be there.
client = hub.client # type: Any
event, hint = event_from_exception(
ex,
client_options=client.options,
mechanism={"type": "falcon", "handled": False},
)
hub.capture_event(event, hint=hint)
return was_handled
falcon.API._handle_exception = sentry_patched_handle_exception
def _patch_prepare_middleware():
# type: () -> None
original_prepare_middleware = falcon.api_helpers.prepare_middleware
def sentry_patched_prepare_middleware(
middleware=None, independent_middleware=False
):
# type: (Any, Any) -> Any
hub = Hub.current
integration = hub.get_integration(FalconIntegration)
if integration is not None:
middleware = [SentryFalconMiddleware()] + (middleware or [])
return original_prepare_middleware(middleware, independent_middleware)
falcon.api_helpers.prepare_middleware = sentry_patched_prepare_middleware
def _exception_leads_to_http_5xx(ex):
# type: (Exception) -> bool
is_server_error = isinstance(ex, falcon.HTTPError) and (ex.status or "").startswith(
"5"
)
is_unhandled_error = not isinstance(
ex, (falcon.HTTPError, falcon.http_status.HTTPStatus)
)
return is_server_error or is_unhandled_error
def _set_transaction_name_and_source(event, transaction_style, request):
# type: (Dict[str, Any], str, falcon.Request) -> None
name_for_style = {
"uri_template": request.uri_template,
"path": request.path,
}
event["transaction"] = name_for_style[transaction_style]
event["transaction_info"] = {"source": SOURCE_FOR_STYLE[transaction_style]}
def _make_request_event_processor(req, integration):
# type: (falcon.Request, FalconIntegration) -> EventProcessor
def event_processor(event, hint):
# type: (Dict[str, Any], Dict[str, Any]) -> Dict[str, Any]
_set_transaction_name_and_source(event, integration.transaction_style, req)
with capture_internal_exceptions():
FalconRequestExtractor(req).extract_into_event(event)
return event
return event_processor
| 7,322 | Python | 31.259912 | 97 | 0.630975 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/bottle.py | from __future__ import absolute_import
from sentry_sdk.hub import Hub
from sentry_sdk.tracing import SOURCE_FOR_STYLE
from sentry_sdk.utils import (
capture_internal_exceptions,
event_from_exception,
transaction_from_function,
)
from sentry_sdk.integrations import Integration, DidNotEnable
from sentry_sdk.integrations.wsgi import SentryWsgiMiddleware
from sentry_sdk.integrations._wsgi_common import RequestExtractor
from sentry_sdk._types import MYPY
if MYPY:
from sentry_sdk.integrations.wsgi import _ScopedResponse
from typing import Any
from typing import Dict
from typing import Callable
from typing import Optional
from bottle import FileUpload, FormsDict, LocalRequest # type: ignore
from sentry_sdk._types import EventProcessor, Event
try:
from bottle import (
Bottle,
Route,
request as bottle_request,
HTTPResponse,
__version__ as BOTTLE_VERSION,
)
except ImportError:
raise DidNotEnable("Bottle not installed")
TRANSACTION_STYLE_VALUES = ("endpoint", "url")
class BottleIntegration(Integration):
identifier = "bottle"
transaction_style = ""
def __init__(self, transaction_style="endpoint"):
# type: (str) -> None
if transaction_style not in TRANSACTION_STYLE_VALUES:
raise ValueError(
"Invalid value for transaction_style: %s (must be in %s)"
% (transaction_style, TRANSACTION_STYLE_VALUES)
)
self.transaction_style = transaction_style
@staticmethod
def setup_once():
# type: () -> None
try:
version = tuple(map(int, BOTTLE_VERSION.replace("-dev", "").split(".")))
except (TypeError, ValueError):
raise DidNotEnable("Unparsable Bottle version: {}".format(version))
if version < (0, 12):
raise DidNotEnable("Bottle 0.12 or newer required.")
# monkey patch method Bottle.__call__
old_app = Bottle.__call__
def sentry_patched_wsgi_app(self, environ, start_response):
# type: (Any, Dict[str, str], Callable[..., Any]) -> _ScopedResponse
hub = Hub.current
integration = hub.get_integration(BottleIntegration)
if integration is None:
return old_app(self, environ, start_response)
return SentryWsgiMiddleware(lambda *a, **kw: old_app(self, *a, **kw))(
environ, start_response
)
Bottle.__call__ = sentry_patched_wsgi_app
# monkey patch method Bottle._handle
old_handle = Bottle._handle
def _patched_handle(self, environ):
# type: (Bottle, Dict[str, Any]) -> Any
hub = Hub.current
integration = hub.get_integration(BottleIntegration)
if integration is None:
return old_handle(self, environ)
# create new scope
scope_manager = hub.push_scope()
with scope_manager:
app = self
with hub.configure_scope() as scope:
scope._name = "bottle"
scope.add_event_processor(
_make_request_event_processor(app, bottle_request, integration)
)
res = old_handle(self, environ)
# scope cleanup
return res
Bottle._handle = _patched_handle
# monkey patch method Route._make_callback
old_make_callback = Route._make_callback
def patched_make_callback(self, *args, **kwargs):
# type: (Route, *object, **object) -> Any
hub = Hub.current
integration = hub.get_integration(BottleIntegration)
prepared_callback = old_make_callback(self, *args, **kwargs)
if integration is None:
return prepared_callback
# If an integration is there, a client has to be there.
client = hub.client # type: Any
def wrapped_callback(*args, **kwargs):
# type: (*object, **object) -> Any
try:
res = prepared_callback(*args, **kwargs)
except HTTPResponse:
raise
except Exception as exception:
event, hint = event_from_exception(
exception,
client_options=client.options,
mechanism={"type": "bottle", "handled": False},
)
hub.capture_event(event, hint=hint)
raise exception
return res
return wrapped_callback
Route._make_callback = patched_make_callback
class BottleRequestExtractor(RequestExtractor):
def env(self):
# type: () -> Dict[str, str]
return self.request.environ
def cookies(self):
# type: () -> Dict[str, str]
return self.request.cookies
def raw_data(self):
# type: () -> bytes
return self.request.body.read()
def form(self):
# type: () -> FormsDict
if self.is_json():
return None
return self.request.forms.decode()
def files(self):
# type: () -> Optional[Dict[str, str]]
if self.is_json():
return None
return self.request.files
def size_of_file(self, file):
# type: (FileUpload) -> int
return file.content_length
def _set_transaction_name_and_source(event, transaction_style, request):
# type: (Event, str, Any) -> None
name = ""
if transaction_style == "url":
name = request.route.rule or ""
elif transaction_style == "endpoint":
name = (
request.route.name
or transaction_from_function(request.route.callback)
or ""
)
event["transaction"] = name
event["transaction_info"] = {"source": SOURCE_FOR_STYLE[transaction_style]}
def _make_request_event_processor(app, request, integration):
# type: (Bottle, LocalRequest, BottleIntegration) -> EventProcessor
def event_processor(event, hint):
# type: (Dict[str, Any], Dict[str, Any]) -> Dict[str, Any]
_set_transaction_name_and_source(event, integration.transaction_style, request)
with capture_internal_exceptions():
BottleRequestExtractor(request).extract_into_event(event)
return event
return event_processor
| 6,488 | Python | 29.753554 | 87 | 0.582922 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/rq.py | from __future__ import absolute_import
import weakref
from sentry_sdk.consts import OP
from sentry_sdk.hub import Hub
from sentry_sdk.integrations import DidNotEnable, Integration
from sentry_sdk.integrations.logging import ignore_logger
from sentry_sdk.tracing import Transaction, TRANSACTION_SOURCE_TASK
from sentry_sdk.utils import (
capture_internal_exceptions,
event_from_exception,
format_timestamp,
)
try:
from rq.queue import Queue
from rq.timeouts import JobTimeoutException
from rq.version import VERSION as RQ_VERSION
from rq.worker import Worker
except ImportError:
raise DidNotEnable("RQ not installed")
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any, Callable, Dict
from sentry_sdk._types import EventProcessor
from sentry_sdk.utils import ExcInfo
from rq.job import Job
class RqIntegration(Integration):
identifier = "rq"
@staticmethod
def setup_once():
# type: () -> None
try:
version = tuple(map(int, RQ_VERSION.split(".")[:3]))
except (ValueError, TypeError):
raise DidNotEnable("Unparsable RQ version: {}".format(RQ_VERSION))
if version < (0, 6):
raise DidNotEnable("RQ 0.6 or newer is required.")
old_perform_job = Worker.perform_job
def sentry_patched_perform_job(self, job, *args, **kwargs):
# type: (Any, Job, *Queue, **Any) -> bool
hub = Hub.current
integration = hub.get_integration(RqIntegration)
if integration is None:
return old_perform_job(self, job, *args, **kwargs)
client = hub.client
assert client is not None
with hub.push_scope() as scope:
scope.clear_breadcrumbs()
scope.add_event_processor(_make_event_processor(weakref.ref(job)))
transaction = Transaction.continue_from_headers(
job.meta.get("_sentry_trace_headers") or {},
op=OP.QUEUE_TASK_RQ,
name="unknown RQ task",
source=TRANSACTION_SOURCE_TASK,
)
with capture_internal_exceptions():
transaction.name = job.func_name
with hub.start_transaction(
transaction, custom_sampling_context={"rq_job": job}
):
rv = old_perform_job(self, job, *args, **kwargs)
if self.is_horse:
# We're inside of a forked process and RQ is
# about to call `os._exit`. Make sure that our
# events get sent out.
client.flush()
return rv
Worker.perform_job = sentry_patched_perform_job
old_handle_exception = Worker.handle_exception
def sentry_patched_handle_exception(self, job, *exc_info, **kwargs):
# type: (Worker, Any, *Any, **Any) -> Any
if job.is_failed:
_capture_exception(exc_info) # type: ignore
return old_handle_exception(self, job, *exc_info, **kwargs)
Worker.handle_exception = sentry_patched_handle_exception
old_enqueue_job = Queue.enqueue_job
def sentry_patched_enqueue_job(self, job, **kwargs):
# type: (Queue, Any, **Any) -> Any
hub = Hub.current
if hub.get_integration(RqIntegration) is not None:
job.meta["_sentry_trace_headers"] = dict(
hub.iter_trace_propagation_headers()
)
return old_enqueue_job(self, job, **kwargs)
Queue.enqueue_job = sentry_patched_enqueue_job
ignore_logger("rq.worker")
def _make_event_processor(weak_job):
# type: (Callable[[], Job]) -> EventProcessor
def event_processor(event, hint):
# type: (Dict[str, Any], Dict[str, Any]) -> Dict[str, Any]
job = weak_job()
if job is not None:
with capture_internal_exceptions():
extra = event.setdefault("extra", {})
extra["rq-job"] = {
"job_id": job.id,
"func": job.func_name,
"args": job.args,
"kwargs": job.kwargs,
"description": job.description,
}
if job.enqueued_at:
extra["rq-job"]["enqueued_at"] = format_timestamp(job.enqueued_at)
if job.started_at:
extra["rq-job"]["started_at"] = format_timestamp(job.started_at)
if "exc_info" in hint:
with capture_internal_exceptions():
if issubclass(hint["exc_info"][0], JobTimeoutException):
event["fingerprint"] = ["rq", "JobTimeoutException", job.func_name]
return event
return event_processor
def _capture_exception(exc_info, **kwargs):
# type: (ExcInfo, **Any) -> None
hub = Hub.current
if hub.get_integration(RqIntegration) is None:
return
# If an integration is there, a client has to be there.
client = hub.client # type: Any
event, hint = event_from_exception(
exc_info,
client_options=client.options,
mechanism={"type": "rq", "handled": False},
)
hub.capture_event(event, hint=hint)
| 5,350 | Python | 31.041916 | 87 | 0.571963 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/logging.py | from __future__ import absolute_import
import logging
import datetime
from fnmatch import fnmatch
from sentry_sdk.hub import Hub
from sentry_sdk.utils import (
to_string,
event_from_exception,
current_stacktrace,
capture_internal_exceptions,
)
from sentry_sdk.integrations import Integration
from sentry_sdk._compat import iteritems
from sentry_sdk._types import MYPY
if MYPY:
from logging import LogRecord
from typing import Any
from typing import Dict
from typing import Optional
DEFAULT_LEVEL = logging.INFO
DEFAULT_EVENT_LEVEL = logging.ERROR
LOGGING_TO_EVENT_LEVEL = {
logging.NOTSET: "notset",
logging.DEBUG: "debug",
logging.INFO: "info",
logging.WARN: "warning", # WARN is same a WARNING
logging.WARNING: "warning",
logging.ERROR: "error",
logging.FATAL: "fatal",
logging.CRITICAL: "fatal", # CRITICAL is same as FATAL
}
# Capturing events from those loggers causes recursion errors. We cannot allow
# the user to unconditionally create events from those loggers under any
# circumstances.
#
# Note: Ignoring by logger name here is better than mucking with thread-locals.
# We do not necessarily know whether thread-locals work 100% correctly in the user's environment.
_IGNORED_LOGGERS = set(
["sentry_sdk.errors", "urllib3.connectionpool", "urllib3.connection"]
)
def ignore_logger(
name, # type: str
):
# type: (...) -> None
"""This disables recording (both in breadcrumbs and as events) calls to
a logger of a specific name. Among other uses, many of our integrations
use this to prevent their actions being recorded as breadcrumbs. Exposed
to users as a way to quiet spammy loggers.
:param name: The name of the logger to ignore (same string you would pass to ``logging.getLogger``).
"""
_IGNORED_LOGGERS.add(name)
class LoggingIntegration(Integration):
identifier = "logging"
def __init__(self, level=DEFAULT_LEVEL, event_level=DEFAULT_EVENT_LEVEL):
# type: (Optional[int], Optional[int]) -> None
self._handler = None
self._breadcrumb_handler = None
if level is not None:
self._breadcrumb_handler = BreadcrumbHandler(level=level)
if event_level is not None:
self._handler = EventHandler(level=event_level)
def _handle_record(self, record):
# type: (LogRecord) -> None
if self._handler is not None and record.levelno >= self._handler.level:
self._handler.handle(record)
if (
self._breadcrumb_handler is not None
and record.levelno >= self._breadcrumb_handler.level
):
self._breadcrumb_handler.handle(record)
@staticmethod
def setup_once():
# type: () -> None
old_callhandlers = logging.Logger.callHandlers
def sentry_patched_callhandlers(self, record):
# type: (Any, LogRecord) -> Any
try:
return old_callhandlers(self, record)
finally:
# This check is done twice, once also here before we even get
# the integration. Otherwise we have a high chance of getting
# into a recursion error when the integration is resolved
# (this also is slower).
if record.name not in _IGNORED_LOGGERS:
integration = Hub.current.get_integration(LoggingIntegration)
if integration is not None:
integration._handle_record(record)
logging.Logger.callHandlers = sentry_patched_callhandlers # type: ignore
def _can_record(record):
# type: (LogRecord) -> bool
"""Prevents ignored loggers from recording"""
for logger in _IGNORED_LOGGERS:
if fnmatch(record.name, logger):
return False
return True
def _breadcrumb_from_record(record):
# type: (LogRecord) -> Dict[str, Any]
return {
"type": "log",
"level": _logging_to_event_level(record),
"category": record.name,
"message": record.message,
"timestamp": datetime.datetime.utcfromtimestamp(record.created),
"data": _extra_from_record(record),
}
def _logging_to_event_level(record):
# type: (LogRecord) -> str
return LOGGING_TO_EVENT_LEVEL.get(
record.levelno, record.levelname.lower() if record.levelname else ""
)
COMMON_RECORD_ATTRS = frozenset(
(
"args",
"created",
"exc_info",
"exc_text",
"filename",
"funcName",
"levelname",
"levelno",
"linenno",
"lineno",
"message",
"module",
"msecs",
"msg",
"name",
"pathname",
"process",
"processName",
"relativeCreated",
"stack",
"tags",
"thread",
"threadName",
"stack_info",
)
)
def _extra_from_record(record):
# type: (LogRecord) -> Dict[str, None]
return {
k: v
for k, v in iteritems(vars(record))
if k not in COMMON_RECORD_ATTRS
and (not isinstance(k, str) or not k.startswith("_"))
}
class EventHandler(logging.Handler, object):
"""
A logging handler that emits Sentry events for each log record
Note that you do not have to use this class if the logging integration is enabled, which it is by default.
"""
def emit(self, record):
# type: (LogRecord) -> Any
with capture_internal_exceptions():
self.format(record)
return self._emit(record)
def _emit(self, record):
# type: (LogRecord) -> None
if not _can_record(record):
return
hub = Hub.current
if hub.client is None:
return
client_options = hub.client.options
# exc_info might be None or (None, None, None)
#
# exc_info may also be any falsy value due to Python stdlib being
# liberal with what it receives and Celery's billiard being "liberal"
# with what it sends. See
# https://github.com/getsentry/sentry-python/issues/904
if record.exc_info and record.exc_info[0] is not None:
event, hint = event_from_exception(
record.exc_info,
client_options=client_options,
mechanism={"type": "logging", "handled": True},
)
elif record.exc_info and record.exc_info[0] is None:
event = {}
hint = {}
with capture_internal_exceptions():
event["threads"] = {
"values": [
{
"stacktrace": current_stacktrace(
client_options["with_locals"]
),
"crashed": False,
"current": True,
}
]
}
else:
event = {}
hint = {}
hint["log_record"] = record
event["level"] = _logging_to_event_level(record)
event["logger"] = record.name
# Log records from `warnings` module as separate issues
record_caputured_from_warnings_module = (
record.name == "py.warnings" and record.msg == "%s"
)
if record_caputured_from_warnings_module:
# use the actual message and not "%s" as the message
# this prevents grouping all warnings under one "%s" issue
msg = record.args[0] # type: ignore
event["logentry"] = {
"message": msg,
"params": (),
}
else:
event["logentry"] = {
"message": to_string(record.msg),
"params": record.args,
}
event["extra"] = _extra_from_record(record)
hub.capture_event(event, hint=hint)
# Legacy name
SentryHandler = EventHandler
class BreadcrumbHandler(logging.Handler, object):
"""
A logging handler that records breadcrumbs for each log record.
Note that you do not have to use this class if the logging integration is enabled, which it is by default.
"""
def emit(self, record):
# type: (LogRecord) -> Any
with capture_internal_exceptions():
self.format(record)
return self._emit(record)
def _emit(self, record):
# type: (LogRecord) -> None
if not _can_record(record):
return
Hub.current.add_breadcrumb(
_breadcrumb_from_record(record), hint={"log_record": record}
)
| 8,656 | Python | 29.059028 | 110 | 0.581331 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/beam.py | from __future__ import absolute_import
import sys
import types
from sentry_sdk._functools import wraps
from sentry_sdk.hub import Hub
from sentry_sdk._compat import reraise
from sentry_sdk.utils import capture_internal_exceptions, event_from_exception
from sentry_sdk.integrations import Integration
from sentry_sdk.integrations.logging import ignore_logger
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
from typing import Iterator
from typing import TypeVar
from typing import Optional
from typing import Callable
from sentry_sdk.client import Client
from sentry_sdk._types import ExcInfo
T = TypeVar("T")
F = TypeVar("F", bound=Callable[..., Any])
WRAPPED_FUNC = "_wrapped_{}_"
INSPECT_FUNC = "_inspect_{}" # Required format per apache_beam/transforms/core.py
USED_FUNC = "_sentry_used_"
class BeamIntegration(Integration):
identifier = "beam"
@staticmethod
def setup_once():
# type: () -> None
from apache_beam.transforms.core import DoFn, ParDo # type: ignore
ignore_logger("root")
ignore_logger("bundle_processor.create")
function_patches = ["process", "start_bundle", "finish_bundle", "setup"]
for func_name in function_patches:
setattr(
DoFn,
INSPECT_FUNC.format(func_name),
_wrap_inspect_call(DoFn, func_name),
)
old_init = ParDo.__init__
def sentry_init_pardo(self, fn, *args, **kwargs):
# type: (ParDo, Any, *Any, **Any) -> Any
# Do not monkey patch init twice
if not getattr(self, "_sentry_is_patched", False):
for func_name in function_patches:
if not hasattr(fn, func_name):
continue
wrapped_func = WRAPPED_FUNC.format(func_name)
# Check to see if inspect is set and process is not
# to avoid monkey patching process twice.
# Check to see if function is part of object for
# backwards compatibility.
process_func = getattr(fn, func_name)
inspect_func = getattr(fn, INSPECT_FUNC.format(func_name))
if not getattr(inspect_func, USED_FUNC, False) and not getattr(
process_func, USED_FUNC, False
):
setattr(fn, wrapped_func, process_func)
setattr(fn, func_name, _wrap_task_call(process_func))
self._sentry_is_patched = True
old_init(self, fn, *args, **kwargs)
ParDo.__init__ = sentry_init_pardo
def _wrap_inspect_call(cls, func_name):
# type: (Any, Any) -> Any
if not hasattr(cls, func_name):
return None
def _inspect(self):
# type: (Any) -> Any
"""
Inspect function overrides the way Beam gets argspec.
"""
wrapped_func = WRAPPED_FUNC.format(func_name)
if hasattr(self, wrapped_func):
process_func = getattr(self, wrapped_func)
else:
process_func = getattr(self, func_name)
setattr(self, func_name, _wrap_task_call(process_func))
setattr(self, wrapped_func, process_func)
# getfullargspec is deprecated in more recent beam versions and get_function_args_defaults
# (which uses Signatures internally) should be used instead.
try:
from apache_beam.transforms.core import get_function_args_defaults
return get_function_args_defaults(process_func)
except ImportError:
from apache_beam.typehints.decorators import getfullargspec # type: ignore
return getfullargspec(process_func)
setattr(_inspect, USED_FUNC, True)
return _inspect
def _wrap_task_call(func):
# type: (F) -> F
"""
Wrap task call with a try catch to get exceptions.
Pass the client on to raise_exception so it can get rebinded.
"""
client = Hub.current.client
@wraps(func)
def _inner(*args, **kwargs):
# type: (*Any, **Any) -> Any
try:
gen = func(*args, **kwargs)
except Exception:
raise_exception(client)
if not isinstance(gen, types.GeneratorType):
return gen
return _wrap_generator_call(gen, client)
setattr(_inner, USED_FUNC, True)
return _inner # type: ignore
def _capture_exception(exc_info, hub):
# type: (ExcInfo, Hub) -> None
"""
Send Beam exception to Sentry.
"""
integration = hub.get_integration(BeamIntegration)
if integration is None:
return
client = hub.client
if client is None:
return
event, hint = event_from_exception(
exc_info,
client_options=client.options,
mechanism={"type": "beam", "handled": False},
)
hub.capture_event(event, hint=hint)
def raise_exception(client):
# type: (Optional[Client]) -> None
"""
Raise an exception. If the client is not in the hub, rebind it.
"""
hub = Hub.current
if hub.client is None:
hub.bind_client(client)
exc_info = sys.exc_info()
with capture_internal_exceptions():
_capture_exception(exc_info, hub)
reraise(*exc_info)
def _wrap_generator_call(gen, client):
# type: (Iterator[T], Optional[Client]) -> Iterator[T]
"""
Wrap the generator to handle any failures.
"""
while True:
try:
yield next(gen)
except StopIteration:
break
except Exception:
raise_exception(client)
| 5,671 | Python | 29.494623 | 98 | 0.596015 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/_wsgi_common.py | import json
from sentry_sdk.hub import Hub, _should_send_default_pii
from sentry_sdk.utils import AnnotatedValue
from sentry_sdk._compat import text_type, iteritems
from sentry_sdk._types import MYPY
if MYPY:
import sentry_sdk
from typing import Any
from typing import Dict
from typing import Optional
from typing import Union
SENSITIVE_ENV_KEYS = (
"REMOTE_ADDR",
"HTTP_X_FORWARDED_FOR",
"HTTP_SET_COOKIE",
"HTTP_COOKIE",
"HTTP_AUTHORIZATION",
"HTTP_X_API_KEY",
"HTTP_X_FORWARDED_FOR",
"HTTP_X_REAL_IP",
)
SENSITIVE_HEADERS = tuple(
x[len("HTTP_") :] for x in SENSITIVE_ENV_KEYS if x.startswith("HTTP_")
)
def request_body_within_bounds(client, content_length):
# type: (Optional[sentry_sdk.Client], int) -> bool
if client is None:
return False
bodies = client.options["request_bodies"]
return not (
bodies == "never"
or (bodies == "small" and content_length > 10**3)
or (bodies == "medium" and content_length > 10**4)
)
class RequestExtractor(object):
def __init__(self, request):
# type: (Any) -> None
self.request = request
def extract_into_event(self, event):
# type: (Dict[str, Any]) -> None
client = Hub.current.client
if client is None:
return
data = None # type: Optional[Union[AnnotatedValue, Dict[str, Any]]]
content_length = self.content_length()
request_info = event.get("request", {})
if _should_send_default_pii():
request_info["cookies"] = dict(self.cookies())
if not request_body_within_bounds(client, content_length):
data = AnnotatedValue.removed_because_over_size_limit()
else:
parsed_body = self.parsed_body()
if parsed_body is not None:
data = parsed_body
elif self.raw_data():
data = AnnotatedValue.removed_because_raw_data()
else:
data = None
if data is not None:
request_info["data"] = data
event["request"] = request_info
def content_length(self):
# type: () -> int
try:
return int(self.env().get("CONTENT_LENGTH", 0))
except ValueError:
return 0
def cookies(self):
# type: () -> Dict[str, Any]
raise NotImplementedError()
def raw_data(self):
# type: () -> Optional[Union[str, bytes]]
raise NotImplementedError()
def form(self):
# type: () -> Optional[Dict[str, Any]]
raise NotImplementedError()
def parsed_body(self):
# type: () -> Optional[Dict[str, Any]]
form = self.form()
files = self.files()
if form or files:
data = dict(iteritems(form))
for key, _ in iteritems(files):
data[key] = AnnotatedValue.removed_because_raw_data()
return data
return self.json()
def is_json(self):
# type: () -> bool
return _is_json_content_type(self.env().get("CONTENT_TYPE"))
def json(self):
# type: () -> Optional[Any]
try:
if not self.is_json():
return None
raw_data = self.raw_data()
if raw_data is None:
return None
if isinstance(raw_data, text_type):
return json.loads(raw_data)
else:
return json.loads(raw_data.decode("utf-8"))
except ValueError:
pass
return None
def files(self):
# type: () -> Optional[Dict[str, Any]]
raise NotImplementedError()
def size_of_file(self, file):
# type: (Any) -> int
raise NotImplementedError()
def env(self):
# type: () -> Dict[str, Any]
raise NotImplementedError()
def _is_json_content_type(ct):
# type: (Optional[str]) -> bool
mt = (ct or "").split(";", 1)[0]
return (
mt == "application/json"
or (mt.startswith("application/"))
and mt.endswith("+json")
)
def _filter_headers(headers):
# type: (Dict[str, str]) -> Dict[str, str]
if _should_send_default_pii():
return headers
return {
k: (
v
if k.upper().replace("-", "_") not in SENSITIVE_HEADERS
else AnnotatedValue.removed_because_over_size_limit()
)
for k, v in iteritems(headers)
}
| 4,476 | Python | 24.878613 | 76 | 0.552949 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/sanic.py | import sys
import weakref
from inspect import isawaitable
from sentry_sdk._compat import urlparse, reraise
from sentry_sdk.hub import Hub
from sentry_sdk.tracing import TRANSACTION_SOURCE_COMPONENT
from sentry_sdk.utils import (
capture_internal_exceptions,
event_from_exception,
HAS_REAL_CONTEXTVARS,
CONTEXTVARS_ERROR_MESSAGE,
)
from sentry_sdk.integrations import Integration, DidNotEnable
from sentry_sdk.integrations._wsgi_common import RequestExtractor, _filter_headers
from sentry_sdk.integrations.logging import ignore_logger
from sentry_sdk._types import MYPY
if MYPY:
from typing import Any
from typing import Callable
from typing import Optional
from typing import Union
from typing import Tuple
from typing import Dict
from sanic.request import Request, RequestParameters
from sentry_sdk._types import Event, EventProcessor, Hint
from sanic.router import Route
try:
from sanic import Sanic, __version__ as SANIC_VERSION
from sanic.exceptions import SanicException
from sanic.router import Router
from sanic.handlers import ErrorHandler
except ImportError:
raise DidNotEnable("Sanic not installed")
old_error_handler_lookup = ErrorHandler.lookup
old_handle_request = Sanic.handle_request
old_router_get = Router.get
try:
# This method was introduced in Sanic v21.9
old_startup = Sanic._startup
except AttributeError:
pass
class SanicIntegration(Integration):
identifier = "sanic"
version = (0, 0) # type: Tuple[int, ...]
@staticmethod
def setup_once():
# type: () -> None
try:
SanicIntegration.version = tuple(map(int, SANIC_VERSION.split(".")))
except (TypeError, ValueError):
raise DidNotEnable("Unparsable Sanic version: {}".format(SANIC_VERSION))
if SanicIntegration.version < (0, 8):
raise DidNotEnable("Sanic 0.8 or newer required.")
if not HAS_REAL_CONTEXTVARS:
# We better have contextvars or we're going to leak state between
# requests.
raise DidNotEnable(
"The sanic integration for Sentry requires Python 3.7+ "
" or the aiocontextvars package." + CONTEXTVARS_ERROR_MESSAGE
)
if SANIC_VERSION.startswith("0.8."):
# Sanic 0.8 and older creates a logger named "root" and puts a
# stringified version of every exception in there (without exc_info),
# which our error deduplication can't detect.
#
# We explicitly check the version here because it is a very
# invasive step to ignore this logger and not necessary in newer
# versions at all.
#
# https://github.com/huge-success/sanic/issues/1332
ignore_logger("root")
if SanicIntegration.version < (21, 9):
_setup_legacy_sanic()
return
_setup_sanic()
class SanicRequestExtractor(RequestExtractor):
def content_length(self):
# type: () -> int
if self.request.body is None:
return 0
return len(self.request.body)
def cookies(self):
# type: () -> Dict[str, str]
return dict(self.request.cookies)
def raw_data(self):
# type: () -> bytes
return self.request.body
def form(self):
# type: () -> RequestParameters
return self.request.form
def is_json(self):
# type: () -> bool
raise NotImplementedError()
def json(self):
# type: () -> Optional[Any]
return self.request.json
def files(self):
# type: () -> RequestParameters
return self.request.files
def size_of_file(self, file):
# type: (Any) -> int
return len(file.body or ())
def _setup_sanic():
# type: () -> None
Sanic._startup = _startup
ErrorHandler.lookup = _sentry_error_handler_lookup
def _setup_legacy_sanic():
# type: () -> None
Sanic.handle_request = _legacy_handle_request
Router.get = _legacy_router_get
ErrorHandler.lookup = _sentry_error_handler_lookup
async def _startup(self):
# type: (Sanic) -> None
# This happens about as early in the lifecycle as possible, just after the
# Request object is created. The body has not yet been consumed.
self.signal("http.lifecycle.request")(_hub_enter)
# This happens after the handler is complete. In v21.9 this signal is not
# dispatched when there is an exception. Therefore we need to close out
# and call _hub_exit from the custom exception handler as well.
# See https://github.com/sanic-org/sanic/issues/2297
self.signal("http.lifecycle.response")(_hub_exit)
# This happens inside of request handling immediately after the route
# has been identified by the router.
self.signal("http.routing.after")(_set_transaction)
# The above signals need to be declared before this can be called.
await old_startup(self)
async def _hub_enter(request):
# type: (Request) -> None
hub = Hub.current
request.ctx._sentry_do_integration = (
hub.get_integration(SanicIntegration) is not None
)
if not request.ctx._sentry_do_integration:
return
weak_request = weakref.ref(request)
request.ctx._sentry_hub = Hub(hub)
request.ctx._sentry_hub.__enter__()
with request.ctx._sentry_hub.configure_scope() as scope:
scope.clear_breadcrumbs()
scope.add_event_processor(_make_request_processor(weak_request))
async def _hub_exit(request, **_):
# type: (Request, **Any) -> None
request.ctx._sentry_hub.__exit__(None, None, None)
async def _set_transaction(request, route, **kwargs):
# type: (Request, Route, **Any) -> None
hub = Hub.current
if hub.get_integration(SanicIntegration) is not None:
with capture_internal_exceptions():
with hub.configure_scope() as scope:
route_name = route.name.replace(request.app.name, "").strip(".")
scope.set_transaction_name(
route_name, source=TRANSACTION_SOURCE_COMPONENT
)
def _sentry_error_handler_lookup(self, exception, *args, **kwargs):
# type: (Any, Exception, *Any, **Any) -> Optional[object]
_capture_exception(exception)
old_error_handler = old_error_handler_lookup(self, exception, *args, **kwargs)
if old_error_handler is None:
return None
if Hub.current.get_integration(SanicIntegration) is None:
return old_error_handler
async def sentry_wrapped_error_handler(request, exception):
# type: (Request, Exception) -> Any
try:
response = old_error_handler(request, exception)
if isawaitable(response):
response = await response
return response
except Exception:
# Report errors that occur in Sanic error handler. These
# exceptions will not even show up in Sanic's
# `sanic.exceptions` logger.
exc_info = sys.exc_info()
_capture_exception(exc_info)
reraise(*exc_info)
finally:
# As mentioned in previous comment in _startup, this can be removed
# after https://github.com/sanic-org/sanic/issues/2297 is resolved
if SanicIntegration.version == (21, 9):
await _hub_exit(request)
return sentry_wrapped_error_handler
async def _legacy_handle_request(self, request, *args, **kwargs):
# type: (Any, Request, *Any, **Any) -> Any
hub = Hub.current
if hub.get_integration(SanicIntegration) is None:
return old_handle_request(self, request, *args, **kwargs)
weak_request = weakref.ref(request)
with Hub(hub) as hub:
with hub.configure_scope() as scope:
scope.clear_breadcrumbs()
scope.add_event_processor(_make_request_processor(weak_request))
response = old_handle_request(self, request, *args, **kwargs)
if isawaitable(response):
response = await response
return response
def _legacy_router_get(self, *args):
# type: (Any, Union[Any, Request]) -> Any
rv = old_router_get(self, *args)
hub = Hub.current
if hub.get_integration(SanicIntegration) is not None:
with capture_internal_exceptions():
with hub.configure_scope() as scope:
if SanicIntegration.version and SanicIntegration.version >= (21, 3):
# Sanic versions above and including 21.3 append the app name to the
# route name, and so we need to remove it from Route name so the
# transaction name is consistent across all versions
sanic_app_name = self.ctx.app.name
sanic_route = rv[0].name
if sanic_route.startswith("%s." % sanic_app_name):
# We add a 1 to the len of the sanic_app_name because there is a dot
# that joins app name and the route name
# Format: app_name.route_name
sanic_route = sanic_route[len(sanic_app_name) + 1 :]
scope.set_transaction_name(
sanic_route, source=TRANSACTION_SOURCE_COMPONENT
)
else:
scope.set_transaction_name(
rv[0].__name__, source=TRANSACTION_SOURCE_COMPONENT
)
return rv
def _capture_exception(exception):
# type: (Union[Tuple[Optional[type], Optional[BaseException], Any], BaseException]) -> None
hub = Hub.current
integration = hub.get_integration(SanicIntegration)
if integration is None:
return
# If an integration is there, a client has to be there.
client = hub.client # type: Any
with capture_internal_exceptions():
event, hint = event_from_exception(
exception,
client_options=client.options,
mechanism={"type": "sanic", "handled": False},
)
hub.capture_event(event, hint=hint)
def _make_request_processor(weak_request):
# type: (Callable[[], Request]) -> EventProcessor
def sanic_processor(event, hint):
# type: (Event, Optional[Hint]) -> Optional[Event]
try:
if hint and issubclass(hint["exc_info"][0], SanicException):
return None
except KeyError:
pass
request = weak_request()
if request is None:
return event
with capture_internal_exceptions():
extractor = SanicRequestExtractor(request)
extractor.extract_into_event(event)
request_info = event["request"]
urlparts = urlparse.urlsplit(request.url)
request_info["url"] = "%s://%s%s" % (
urlparts.scheme,
urlparts.netloc,
urlparts.path,
)
request_info["query_string"] = urlparts.query
request_info["method"] = request.method
request_info["env"] = {"REMOTE_ADDR": request.remote_addr}
request_info["headers"] = _filter_headers(dict(request.headers))
return event
return sanic_processor
| 11,311 | Python | 32.270588 | 95 | 0.618867 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/opentelemetry/__init__.py | from sentry_sdk.integrations.opentelemetry.span_processor import ( # noqa: F401
SentrySpanProcessor,
)
from sentry_sdk.integrations.opentelemetry.propagator import ( # noqa: F401
SentryPropagator,
)
| 210 | Python | 25.374997 | 80 | 0.771429 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/opentelemetry/propagator.py | from opentelemetry import trace # type: ignore
from opentelemetry.context import ( # type: ignore
Context,
get_current,
set_value,
)
from opentelemetry.propagators.textmap import ( # type: ignore
CarrierT,
Getter,
Setter,
TextMapPropagator,
default_getter,
default_setter,
)
from opentelemetry.trace import ( # type: ignore
TraceFlags,
NonRecordingSpan,
SpanContext,
)
from sentry_sdk.integrations.opentelemetry.consts import (
SENTRY_BAGGAGE_KEY,
SENTRY_TRACE_KEY,
)
from sentry_sdk.integrations.opentelemetry.span_processor import (
SentrySpanProcessor,
)
from sentry_sdk.tracing import (
BAGGAGE_HEADER_NAME,
SENTRY_TRACE_HEADER_NAME,
)
from sentry_sdk.tracing_utils import Baggage, extract_sentrytrace_data
from sentry_sdk._types import MYPY
if MYPY:
from typing import Optional
from typing import Set
class SentryPropagator(TextMapPropagator): # type: ignore
"""
Propagates tracing headers for Sentry's tracing system in a way OTel understands.
"""
def extract(self, carrier, context=None, getter=default_getter):
# type: (CarrierT, Optional[Context], Getter) -> Context
if context is None:
context = get_current()
sentry_trace = getter.get(carrier, SENTRY_TRACE_HEADER_NAME)
if not sentry_trace:
return context
sentrytrace = extract_sentrytrace_data(sentry_trace[0])
if not sentrytrace:
return context
context = set_value(SENTRY_TRACE_KEY, sentrytrace, context)
trace_id, span_id = sentrytrace["trace_id"], sentrytrace["parent_span_id"]
span_context = SpanContext(
trace_id=int(trace_id, 16), # type: ignore
span_id=int(span_id, 16), # type: ignore
# we simulate a sampled trace on the otel side and leave the sampling to sentry
trace_flags=TraceFlags(TraceFlags.SAMPLED),
is_remote=True,
)
baggage_header = getter.get(carrier, BAGGAGE_HEADER_NAME)
if baggage_header:
baggage = Baggage.from_incoming_header(baggage_header[0])
else:
# If there's an incoming sentry-trace but no incoming baggage header,
# for instance in traces coming from older SDKs,
# baggage will be empty and frozen and won't be populated as head SDK.
baggage = Baggage(sentry_items={})
baggage.freeze()
context = set_value(SENTRY_BAGGAGE_KEY, baggage, context)
span = NonRecordingSpan(span_context)
modified_context = trace.set_span_in_context(span, context)
return modified_context
def inject(self, carrier, context=None, setter=default_setter):
# type: (CarrierT, Optional[Context], Setter) -> None
if context is None:
context = get_current()
current_span = trace.get_current_span(context)
if not current_span.context.is_valid:
return
span_id = trace.format_span_id(current_span.context.span_id)
span_map = SentrySpanProcessor().otel_span_map
sentry_span = span_map.get(span_id, None)
if not sentry_span:
return
setter.set(carrier, SENTRY_TRACE_HEADER_NAME, sentry_span.to_traceparent())
baggage = sentry_span.containing_transaction.get_baggage()
if baggage:
setter.set(carrier, BAGGAGE_HEADER_NAME, baggage.serialize())
@property
def fields(self):
# type: () -> Set[str]
return {SENTRY_TRACE_HEADER_NAME, BAGGAGE_HEADER_NAME}
| 3,591 | Python | 30.508772 | 91 | 0.651072 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/opentelemetry/consts.py | from opentelemetry.context import ( # type: ignore
create_key,
)
SENTRY_TRACE_KEY = create_key("sentry-trace")
SENTRY_BAGGAGE_KEY = create_key("sentry-baggage")
| 167 | Python | 22.999997 | 51 | 0.724551 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/sentry_sdk/integrations/opentelemetry/span_processor.py | from datetime import datetime
from opentelemetry.context import get_value # type: ignore
from opentelemetry.sdk.trace import SpanProcessor # type: ignore
from opentelemetry.semconv.trace import SpanAttributes # type: ignore
from opentelemetry.trace import ( # type: ignore
format_span_id,
format_trace_id,
get_current_span,
SpanContext,
Span as OTelSpan,
SpanKind,
)
from opentelemetry.trace.span import ( # type: ignore
INVALID_SPAN_ID,
INVALID_TRACE_ID,
)
from sentry_sdk.consts import INSTRUMENTER
from sentry_sdk.hub import Hub
from sentry_sdk.integrations.opentelemetry.consts import (
SENTRY_BAGGAGE_KEY,
SENTRY_TRACE_KEY,
)
from sentry_sdk.scope import add_global_event_processor
from sentry_sdk.tracing import Transaction, Span as SentrySpan
from sentry_sdk.utils import Dsn
from sentry_sdk._types import MYPY
from urllib3.util import parse_url as urlparse # type: ignore
if MYPY:
from typing import Any
from typing import Dict
from typing import Union
from sentry_sdk._types import Event, Hint
OPEN_TELEMETRY_CONTEXT = "otel"
def link_trace_context_to_error_event(event, otel_span_map):
# type: (Event, Dict[str, Union[Transaction, OTelSpan]]) -> Event
hub = Hub.current
if not hub:
return event
if hub.client and hub.client.options["instrumenter"] != INSTRUMENTER.OTEL:
return event
if hasattr(event, "type") and event["type"] == "transaction":
return event
otel_span = get_current_span()
if not otel_span:
return event
ctx = otel_span.get_span_context()
trace_id = format_trace_id(ctx.trace_id)
span_id = format_span_id(ctx.span_id)
if trace_id == INVALID_TRACE_ID or span_id == INVALID_SPAN_ID:
return event
sentry_span = otel_span_map.get(span_id, None)
if not sentry_span:
return event
contexts = event.setdefault("contexts", {})
contexts.setdefault("trace", {}).update(sentry_span.get_trace_context())
return event
class SentrySpanProcessor(SpanProcessor): # type: ignore
"""
Converts OTel spans into Sentry spans so they can be sent to the Sentry backend.
"""
# The mapping from otel span ids to sentry spans
otel_span_map = {} # type: Dict[str, Union[Transaction, OTelSpan]]
def __new__(cls):
# type: () -> SentrySpanProcessor
if not hasattr(cls, "instance"):
cls.instance = super(SentrySpanProcessor, cls).__new__(cls)
return cls.instance
def __init__(self):
# type: () -> None
@add_global_event_processor
def global_event_processor(event, hint):
# type: (Event, Hint) -> Event
return link_trace_context_to_error_event(event, self.otel_span_map)
def on_start(self, otel_span, parent_context=None):
# type: (OTelSpan, SpanContext) -> None
hub = Hub.current
if not hub:
return
if not hub.client or (hub.client and not hub.client.dsn):
return
try:
_ = Dsn(hub.client.dsn or "")
except Exception:
return
if hub.client and hub.client.options["instrumenter"] != INSTRUMENTER.OTEL:
return
if not otel_span.context.is_valid:
return
if self._is_sentry_span(hub, otel_span):
return
trace_data = self._get_trace_data(otel_span, parent_context)
parent_span_id = trace_data["parent_span_id"]
sentry_parent_span = (
self.otel_span_map.get(parent_span_id, None) if parent_span_id else None
)
sentry_span = None
if sentry_parent_span:
sentry_span = sentry_parent_span.start_child(
span_id=trace_data["span_id"],
description=otel_span.name,
start_timestamp=datetime.fromtimestamp(otel_span.start_time / 1e9),
instrumenter=INSTRUMENTER.OTEL,
)
else:
sentry_span = hub.start_transaction(
name=otel_span.name,
span_id=trace_data["span_id"],
parent_span_id=parent_span_id,
trace_id=trace_data["trace_id"],
baggage=trace_data["baggage"],
start_timestamp=datetime.fromtimestamp(otel_span.start_time / 1e9),
instrumenter=INSTRUMENTER.OTEL,
)
self.otel_span_map[trace_data["span_id"]] = sentry_span
def on_end(self, otel_span):
# type: (OTelSpan) -> None
hub = Hub.current
if not hub:
return
if hub.client and hub.client.options["instrumenter"] != INSTRUMENTER.OTEL:
return
if not otel_span.context.is_valid:
return
span_id = format_span_id(otel_span.context.span_id)
sentry_span = self.otel_span_map.pop(span_id, None)
if not sentry_span:
return
sentry_span.op = otel_span.name
if isinstance(sentry_span, Transaction):
sentry_span.name = otel_span.name
sentry_span.set_context(
OPEN_TELEMETRY_CONTEXT, self._get_otel_context(otel_span)
)
else:
self._update_span_with_otel_data(sentry_span, otel_span)
sentry_span.finish(
end_timestamp=datetime.fromtimestamp(otel_span.end_time / 1e9)
)
def _is_sentry_span(self, hub, otel_span):
# type: (Hub, OTelSpan) -> bool
"""
Break infinite loop:
HTTP requests to Sentry are caught by OTel and send again to Sentry.
"""
otel_span_url = otel_span.attributes.get(SpanAttributes.HTTP_URL, None)
dsn_url = hub.client and Dsn(hub.client.dsn or "").netloc
if otel_span_url and dsn_url in otel_span_url:
return True
return False
def _get_otel_context(self, otel_span):
# type: (OTelSpan) -> Dict[str, Any]
"""
Returns the OTel context for Sentry.
See: https://develop.sentry.dev/sdk/performance/opentelemetry/#step-5-add-opentelemetry-context
"""
ctx = {}
if otel_span.attributes:
ctx["attributes"] = dict(otel_span.attributes)
if otel_span.resource.attributes:
ctx["resource"] = dict(otel_span.resource.attributes)
return ctx
def _get_trace_data(self, otel_span, parent_context):
# type: (OTelSpan, SpanContext) -> Dict[str, Any]
"""
Extracts tracing information from one OTel span and its parent OTel context.
"""
trace_data = {}
span_id = format_span_id(otel_span.context.span_id)
trace_data["span_id"] = span_id
trace_id = format_trace_id(otel_span.context.trace_id)
trace_data["trace_id"] = trace_id
parent_span_id = (
format_span_id(otel_span.parent.span_id) if otel_span.parent else None
)
trace_data["parent_span_id"] = parent_span_id
sentry_trace_data = get_value(SENTRY_TRACE_KEY, parent_context)
trace_data["parent_sampled"] = (
sentry_trace_data["parent_sampled"] if sentry_trace_data else None
)
baggage = get_value(SENTRY_BAGGAGE_KEY, parent_context)
trace_data["baggage"] = baggage
return trace_data
def _update_span_with_otel_data(self, sentry_span, otel_span):
# type: (SentrySpan, OTelSpan) -> None
"""
Convert OTel span data and update the Sentry span with it.
This should eventually happen on the server when ingesting the spans.
"""
for key, val in otel_span.attributes.items():
sentry_span.set_data(key, val)
sentry_span.set_data("otel.kind", otel_span.kind)
op = otel_span.name
description = otel_span.name
http_method = otel_span.attributes.get(SpanAttributes.HTTP_METHOD, None)
db_query = otel_span.attributes.get(SpanAttributes.DB_SYSTEM, None)
if http_method:
op = "http"
if otel_span.kind == SpanKind.SERVER:
op += ".server"
elif otel_span.kind == SpanKind.CLIENT:
op += ".client"
description = http_method
peer_name = otel_span.attributes.get(SpanAttributes.NET_PEER_NAME, None)
if peer_name:
description += " {}".format(peer_name)
target = otel_span.attributes.get(SpanAttributes.HTTP_TARGET, None)
if target:
description += " {}".format(target)
if not peer_name and not target:
url = otel_span.attributes.get(SpanAttributes.HTTP_URL, None)
if url:
parsed_url = urlparse(url)
url = f"{parsed_url.scheme}://{parsed_url.netloc}{parsed_url.path}"
description += " {}".format(url)
status_code = otel_span.attributes.get(
SpanAttributes.HTTP_STATUS_CODE, None
)
if status_code:
sentry_span.set_http_status(status_code)
elif db_query:
op = "db"
statement = otel_span.attributes.get(SpanAttributes.DB_STATEMENT, None)
if statement:
description = statement
sentry_span.op = op
sentry_span.description = description
| 9,388 | Python | 31.154109 | 103 | 0.597784 |
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