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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
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
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 = (str, bytes)
# 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 = u"<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 u"<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)
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 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):
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)
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