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nose
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..
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sentry_sdk
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_types.py
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/
from typing import TYPE_CHECKING, TypeVar, Union # Re-exported for compat, since code out there in the wild might use this variable. MYPY = TYPE_CHECKING SENSITIVE_DATA_SUBSTITUTE = "[Filtered]" class AnnotatedValue: """ 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 def __eq__(self, other): # type: (Any) -> bool if not isinstance(other, AnnotatedValue): return False return self.value == other.value and self.metadata == other.metadata def __str__(self): # type: (AnnotatedValue) -> str return str({"value": str(self.value), "metadata": str(self.metadata)}) def __len__(self): # type: (AnnotatedValue) -> int if self.value is not None: return len(self.value) else: return 0 @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, value=""): # type: (Any) -> AnnotatedValue """ The actual value was removed because the size of the field exceeded the configured maximum size, for example specified with the max_request_body_size sdk option. """ return AnnotatedValue( value=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.""" 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 ] ] }, ) T = TypeVar("T") Annotated = Union[AnnotatedValue, T] if TYPE_CHECKING: from collections.abc import Container, MutableMapping, Sequence from datetime import datetime from types import TracebackType from typing import Any from typing import Callable from typing import Dict from typing import Mapping from typing import NotRequired from typing import Optional from typing import Tuple from typing import Type from typing_extensions import Literal, TypedDict class SDKInfo(TypedDict): name: str version: str packages: Sequence[Mapping[str, str]] # "critical" is an alias of "fatal" recognized by Relay LogLevelStr = Literal["fatal", "critical", "error", "warning", "info", "debug"] 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] MeasurementValue = TypedDict( "MeasurementValue", { "value": float, "unit": NotRequired[Optional[MeasurementUnit]], }, ) Event = TypedDict( "Event", { "breadcrumbs": Annotated[ dict[Literal["values"], list[dict[str, Any]]] ], # TODO: We can expand on this type "check_in_id": str, "contexts": dict[str, dict[str, object]], "dist": str, "duration": Optional[float], "environment": str, "errors": list[dict[str, Any]], # TODO: We can expand on this type "event_id": str, "exception": dict[ Literal["values"], list[dict[str, Any]] ], # TODO: We can expand on this type "extra": MutableMapping[str, object], "fingerprint": list[str], "level": LogLevelStr, "logentry": Mapping[str, object], "logger": str, "measurements": dict[str, MeasurementValue], "message": str, "modules": dict[str, str], "monitor_config": Mapping[str, object], "monitor_slug": Optional[str], "platform": Literal["python"], "profile": object, # Should be sentry_sdk.profiler.Profile, but we can't import that here due to circular imports "release": str, "request": dict[str, object], "sdk": Mapping[str, object], "server_name": str, "spans": Annotated[list[dict[str, object]]], "stacktrace": dict[ str, object ], # We access this key in the code, but I am unsure whether we ever set it "start_timestamp": datetime, "status": Optional[str], "tags": MutableMapping[ str, str ], # Tags must be less than 200 characters each "threads": dict[ Literal["values"], list[dict[str, Any]] ], # TODO: We can expand on this type "timestamp": Optional[datetime], # Must be set before sending the event "transaction": str, "transaction_info": Mapping[str, Any], # TODO: We can expand on this type "type": Literal["check_in", "transaction"], "user": dict[str, object], "_dropped_spans": int, "_metrics_summary": dict[str, object], }, total=False, ) ExcInfo = Union[ tuple[Type[BaseException], BaseException, Optional[TracebackType]], tuple[None, None, None], ] # TODO: Make a proper type definition for this (PRs welcome!) Hint = Dict[str, Any] Log = TypedDict( "Log", { "severity_text": str, "severity_number": int, "body": str, "attributes": dict[str, str | bool | float | int], "time_unix_nano": int, "trace_id": Optional[str], }, ) # TODO: Make a proper type definition for this (PRs welcome!) Breadcrumb = Dict[str, Any] # TODO: Make a proper type definition for this (PRs welcome!) BreadcrumbHint = Dict[str, Any] # TODO: Make a proper type definition for this (PRs welcome!) 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]] LogProcessor = Callable[[Log, Hint], Optional[Log]] 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", "profile_chunk", "metric_bucket", "monitor", "span", "log", ] SessionStatus = Literal["ok", "exited", "crashed", "abnormal"] ContinuousProfilerMode = Literal["thread", "gevent", "unknown"] ProfilerMode = Union[ContinuousProfilerMode, Literal["sleep"]] # Type of the metric. MetricType = Literal["d", "s", "g", "c"] # Value of the metric. MetricValue = Union[int, float, str] # Internal representation of tags as a tuple of tuples (this is done in order to allow for the same key to exist # multiple times). MetricTagsInternal = Tuple[Tuple[str, str], ...] # External representation of tags as a dictionary. MetricTagValue = Union[str, int, float, None] MetricTags = Mapping[str, MetricTagValue] # Value inside the generator for the metric value. FlushedMetricValue = Union[int, float] BucketKey = Tuple[MetricType, str, MeasurementUnit, MetricTagsInternal] MetricMetaKey = Tuple[MetricType, str, MeasurementUnit] MonitorConfigScheduleType = Literal["crontab", "interval"] MonitorConfigScheduleUnit = Literal[ "year", "month", "week", "day", "hour", "minute", "second", # not supported in Sentry and will result in a warning ] MonitorConfigSchedule = TypedDict( "MonitorConfigSchedule", { "type": MonitorConfigScheduleType, "value": Union[int, str], "unit": MonitorConfigScheduleUnit, }, total=False, ) MonitorConfig = TypedDict( "MonitorConfig", { "schedule": MonitorConfigSchedule, "timezone": str, "checkin_margin": int, "max_runtime": int, "failure_issue_threshold": int, "recovery_threshold": int, }, total=False, ) HttpStatusCodeRange = Union[int, Container[int]]
/home/servlmvm/.././.././opt/hc_python/lib64/python3.12/site-packages/nose/../sentry_sdk/_types.py