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_types.py
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371 lines (321 loc) · 11.1 KB
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from typing import TYPE_CHECKING, Pattern, TypeVar, Union
# Re-exported for compat, since code out there in the wild might use this variable.
MYPY = TYPE_CHECKING
SENSITIVE_DATA_SUBSTITUTE = "[Filtered]"
BLOB_DATA_SUBSTITUTE = "[Blob substitute]"
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: "Optional[Any]", metadata: "Dict[str, Any]") -> None:
self.value = value
self.metadata = metadata
def __eq__(self, other: "Any") -> bool:
if not isinstance(other, AnnotatedValue):
return False
return self.value == other.value and self.metadata == other.metadata
def __str__(self: "AnnotatedValue") -> str:
return str({"value": str(self.value), "metadata": str(self.metadata)})
def __len__(self: "AnnotatedValue") -> int:
if self.value is not None:
return len(self.value)
else:
return 0
@classmethod
def removed_because_raw_data(cls) -> "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: "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) -> "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": Optional[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": Optional[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,
},
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]
AttributeValue = (
str
| bool
| float
| int
| list[str]
| list[bool]
| list[float]
| list[int]
| tuple[str, ...]
| tuple[bool, ...]
| tuple[float, ...]
| tuple[int, ...]
)
Attributes = dict[str, AttributeValue]
SerializedAttributeValue = TypedDict(
# https://develop.sentry.dev/sdk/telemetry/attributes/#supported-types
"SerializedAttributeValue",
{
"type": Literal[
"string",
"boolean",
"double",
"integer",
"array",
],
"value": AttributeValue,
},
)
Log = TypedDict(
"Log",
{
"severity_text": str,
"severity_number": int,
"body": str,
"attributes": Attributes,
"time_unix_nano": int,
"trace_id": Optional[str],
"span_id": Optional[str],
},
)
MetricType = Literal["counter", "gauge", "distribution"]
MetricUnit = Union[DurationUnit, InformationUnit, str]
Metric = TypedDict(
"Metric",
{
"timestamp": float,
"trace_id": Optional[str],
"span_id": Optional[str],
"name": str,
"type": MetricType,
"value": float,
"unit": Optional[MetricUnit],
"attributes": Attributes,
},
)
MetricProcessor = Callable[[Metric, Hint], Optional[Metric]]
# 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",
"monitor",
"span",
"log_item",
"log_byte",
"trace_metric",
]
SessionStatus = Literal["ok", "exited", "crashed", "abnormal"]
ContinuousProfilerMode = Literal["thread", "gevent", "unknown"]
ProfilerMode = Union[ContinuousProfilerMode, Literal["sleep"]]
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,
"owner": str,
},
total=False,
)
HttpStatusCodeRange = Union[int, Container[int]]
class TextPart(TypedDict):
type: Literal["text"]
content: str
IgnoreSpansName = Union[str, Pattern[str]]
IgnoreSpansContext = TypedDict(
"IgnoreSpansContext",
{"name": IgnoreSpansName, "attributes": Attributes},
total=False,
)
IgnoreSpansConfig = list[Union[IgnoreSpansName, IgnoreSpansContext]]