def load_data(
platform,
default=None,
sample_name=None,
timestamp=None,
start_timestamp=None,
trace=None,
span_id=None,
spans=None,
):
# NOTE: Before editing this data, make sure you understand the context
# in which its being used. It is NOT only used for local development and
# has production consequences.
# * bin/load-mocks to generate fake data for local testing
# * When a new project is created, a fake event is generated as a "starter"
# event so it's not an empty project.
# * When a user clicks Test Configuration from notification plugin settings page,
# a fake event is generated to go through the pipeline.
data = None
language = None
platform_data = INTEGRATION_ID_TO_PLATFORM_DATA.get(platform)
if platform_data is not None and platform_data["type"] != "language":
language = platform_data["language"]
samples_root = os.path.join(DATA_ROOT, "samples")
all_samples = {f for f in os.listdir(samples_root) if f.endswith(".json")}
for platform in (platform, language, default):
if not platform:
continue
# Verify by checking if the file is within our folder explicitly
# avoids being able to have a name that invokes traversing directories.
json_path = f"{platform}.json"
if json_path not in all_samples:
continue
if not sample_name:
try:
sample_name = INTEGRATION_ID_TO_PLATFORM_DATA[platform]["name"]
except KeyError:
pass
# XXX: At this point, it's assumed that `json_path` was safely found
# within `samples_root` due to the check above and cannot traverse
# into paths.
with open(os.path.join(samples_root, json_path)) as fp:
data = json.load(fp)
break
if data is None:
return
data = CanonicalKeyDict(data)
if platform in ("csp", "hkpk", "expectct", "expectstaple"):
return data
# Generate a timestamp in the present.
if timestamp is None:
timestamp = timezone.now()
else:
timestamp = timestamp.replace(tzinfo=pytz.utc)
data.setdefault("timestamp", to_timestamp(timestamp))
if data.get("type") == "transaction":
if start_timestamp is None:
start_timestamp = timestamp - timedelta(seconds=3)
else:
start_timestamp = start_timestamp.replace(tzinfo=pytz.utc)
data["start_timestamp"] = to_timestamp(start_timestamp)
if trace is None:
trace = uuid4().hex
if span_id is None:
span_id = uuid4().hex[:16]
for tag in data["tags"]:
if tag[0] == "trace":
tag[1] = trace
elif tag[0] == "trace.span":
tag[1] = span_id
data["contexts"]["trace"]["trace_id"] = trace
data["contexts"]["trace"]["span_id"] = span_id
if spans:
data["spans"] = spans
for span in data.get("spans", []):
# Use data to generate span timestamps consistently and based
# on event timestamp
duration = span.get("data", {}).get("duration", 10.0)
offset = span.get("data", {}).get("offset", 0)
# Span doesn't have a parent, make it the transaction
if span.get("parent_span_id") is None:
span["parent_span_id"] = span_id
if span.get("span_id") is None:
span["span_id"] = uuid4().hex[:16]
span_start = data["start_timestamp"] + offset
span["trace_id"] = trace
span.setdefault("start_timestamp", span_start)
span.setdefault("timestamp", span_start + duration)
measurements = data.get("measurements")
if measurements:
measurement_markers = {}
for key, entry in measurements.items():
if key in ["fp", "fcp", "lcp", "fid"]:
measurement_markers[f"mark.{key}"] = {
"value":
round(data["start_timestamp"] + entry["value"] / 1000,
3)
}
measurements.update(measurement_markers)
data["platform"] = platform
# XXX: Message is a legacy alias for logentry. Do not overwrite if set.
if "message" not in data:
data[
"message"] = f"This is an example {sample_name or platform} exception"
data.setdefault(
"user",
generate_user(ip_address="127.0.0.1",
username="******",
id=1,
email="*****@*****.**"),
)
data.setdefault(
"extra",
{
"session": {
"foo": "bar"
},
"results": [1, 2, 3, 4, 5],
"emptyList": [],
"emptyMap": {},
"length": 10837790,
"unauthorized": False,
"url": "http://example.org/foo/bar/",
},
)
data.setdefault("modules", {"my.package": "1.0.0"})
data.setdefault(
"request",
{
"cookies": "foo=bar;biz=baz",
"url": "http://example.com/foo",
"headers": {
"Referer":
"http://example.com",
"Content-Type":
"application/json",
"User-Agent":
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1500.72 Safari/537.36",
},
"env": {
"ENV": "prod"
},
"query_string": "foo=bar",
"data": '{"hello": "world"}',
"method": "GET",
},
)
return data
def _do_symbolicate_event(cache_key,
start_time,
event_id,
symbolicate_task,
data=None):
from sentry.lang.native.processing import get_symbolication_function
if data is None:
data = event_processing_store.get(cache_key)
if data is None:
metrics.incr("events.failed",
tags={
"reason": "cache",
"stage": "symbolicate"
},
skip_internal=False)
error_logger.error("symbolicate.failed.empty",
extra={"cache_key": cache_key})
return
data = CanonicalKeyDict(data)
project_id = data["project"]
set_current_event_project(project_id)
event_id = data["event_id"]
if killswitch_matches_context(
"store.load-shed-symbolicate-event-projects",
{
"project_id": project_id,
"event_id": event_id,
"platform": data.get("platform") or "null",
},
):
return
symbolication_function = get_symbolication_function(data)
has_changed = False
from_reprocessing = symbolicate_task is symbolicate_event_from_reprocessing
symbolication_start_time = time()
with sentry_sdk.start_span(
op="tasks.store.symbolicate_event.symbolication") as span:
span.set_data("symbolicaton_function", symbolication_function.__name__)
with metrics.timer(
"tasks.store.symbolicate_event.symbolication",
tags={
"symbolication_function": symbolication_function.__name__
},
):
while True:
try:
with sentry_sdk.start_span(
op="tasks.store.symbolicate_event.%s" %
symbolication_function.__name__) as span:
symbolicated_data = symbolication_function(data)
span.set_data("symbolicated_data",
bool(symbolicated_data))
if symbolicated_data:
data = symbolicated_data
has_changed = True
break
except RetrySymbolication as e:
if (time() - symbolication_start_time
) > settings.SYMBOLICATOR_PROCESS_EVENT_WARN_TIMEOUT:
error_logger.warning(
"symbolicate.slow",
extra={
"project_id": project_id,
"event_id": event_id
},
)
if (time() - symbolication_start_time
) > settings.SYMBOLICATOR_PROCESS_EVENT_HARD_TIMEOUT:
# Do not drop event but actually continue with rest of pipeline
# (persisting unsymbolicated event)
metrics.incr(
"tasks.store.symbolicate_event.fatal",
tags={
"reason":
"timeout",
"symbolication_function":
symbolication_function.__name__,
},
)
error_logger.exception(
"symbolicate.failed.infinite_retry",
extra={
"project_id": project_id,
"event_id": event_id
},
)
data.setdefault("_metrics",
{})["flag.processing.error"] = True
data.setdefault("_metrics",
{})["flag.processing.fatal"] = True
has_changed = True
break
else:
# sleep for `retry_after` but max 5 seconds and try again
metrics.incr(
"tasks.store.symbolicate_event.retry",
tags={
"symbolication_function":
symbolication_function.__name__
},
)
sleep(min(e.retry_after, SYMBOLICATOR_MAX_RETRY_AFTER))
continue
except Exception:
metrics.incr(
"tasks.store.symbolicate_event.fatal",
tags={
"reason":
"error",
"symbolication_function":
symbolication_function.__name__,
},
)
error_logger.exception(
"tasks.store.symbolicate_event.symbolication")
data.setdefault("_metrics",
{})["flag.processing.error"] = True
data.setdefault("_metrics",
{})["flag.processing.fatal"] = True
has_changed = True
break
# We cannot persist canonical types in the cache, so we need to
# downgrade this.
if isinstance(data, CANONICAL_TYPES):
data = dict(data.items())
if has_changed:
cache_key = event_processing_store.store(data)
process_task = process_event_from_reprocessing if from_reprocessing else process_event
_do_process_event(
cache_key=cache_key,
start_time=start_time,
event_id=event_id,
process_task=process_task,
data=data,
data_has_changed=has_changed,
from_symbolicate=True,
)
def _do_process_event(
cache_key,
start_time,
event_id,
process_task,
data=None,
data_has_changed=None,
from_symbolicate=False,
):
from sentry.plugins.base import plugins
if data is None:
data = event_processing_store.get(cache_key)
if data is None:
metrics.incr("events.failed",
tags={
"reason": "cache",
"stage": "process"
},
skip_internal=False)
error_logger.error("process.failed.empty",
extra={"cache_key": cache_key})
return
data = CanonicalKeyDict(data)
project_id = data["project"]
set_current_event_project(project_id)
event_id = data["event_id"]
if killswitch_matches_context(
"store.load-shed-process-event-projects",
{
"project_id": project_id,
"event_id": event_id,
"platform": data.get("platform") or "null",
},
):
return
with sentry_sdk.start_span(
op="tasks.store.process_event.get_project_from_cache"):
project = Project.objects.get_from_cache(id=project_id)
with metrics.timer(
"tasks.store.process_event.organization.get_from_cache"):
project._organization_cache = Organization.objects.get_from_cache(
id=project.organization_id)
has_changed = bool(data_has_changed)
with sentry_sdk.start_span(
op="tasks.store.process_event.get_reprocessing_revision"):
# Fetch the reprocessing revision
reprocessing_rev = reprocessing.get_reprocessing_revision(project_id)
# Stacktrace based event processors.
with sentry_sdk.start_span(op="task.store.process_event.stacktraces"):
with metrics.timer("tasks.store.process_event.stacktraces",
tags={"from_symbolicate": from_symbolicate}):
new_data = process_stacktraces(data)
if new_data is not None:
has_changed = True
data = new_data
# Second round of datascrubbing after stacktrace and language-specific
# processing. First round happened as part of ingest.
#
# *Right now* the only sensitive data that is added in stacktrace
# processing are usernames in filepaths, so we run directly after
# stacktrace processors.
#
# We do not yet want to deal with context data produced by plugins like
# sessionstack or fullstory (which are in `get_event_preprocessors`), as
# this data is very unlikely to be sensitive data. This is why scrubbing
# happens somewhere in the middle of the pipeline.
#
# On the other hand, Javascript event error translation is happening after
# this block because it uses `get_event_preprocessors` instead of
# `get_event_enhancers`.
#
# We are fairly confident, however, that this should run *before*
# re-normalization as it is hard to find sensitive data in partially
# trimmed strings.
if has_changed and options.get("processing.can-use-scrubbers"):
with sentry_sdk.start_span(op="task.store.datascrubbers.scrub"):
with metrics.timer("tasks.store.datascrubbers.scrub",
tags={"from_symbolicate": from_symbolicate}):
new_data = safe_execute(scrub_data,
project=project,
event=data.data)
# XXX(markus): When datascrubbing is finally "totally stable", we might want
# to drop the event if it crashes to avoid saving PII
if new_data is not None:
data.data = new_data
# TODO(dcramer): ideally we would know if data changed by default
# Default event processors.
for plugin in plugins.all(version=2):
with sentry_sdk.start_span(
op="task.store.process_event.preprocessors") as span:
span.set_data("plugin", plugin.slug)
span.set_data("from_symbolicate", from_symbolicate)
with metrics.timer(
"tasks.store.process_event.preprocessors",
tags={
"plugin": plugin.slug,
"from_symbolicate": from_symbolicate
},
):
processors = safe_execute(plugin.get_event_preprocessors,
data=data,
_with_transaction=False)
for processor in processors or ():
try:
result = processor(data)
except Exception:
error_logger.exception(
"tasks.store.preprocessors.error")
data.setdefault("_metrics",
{})["flag.processing.error"] = True
has_changed = True
else:
if result:
data = result
has_changed = True
assert data[
"project"] == project_id, "Project cannot be mutated by plugins"
# We cannot persist canonical types in the cache, so we need to
# downgrade this.
if isinstance(data, CANONICAL_TYPES):
data = dict(data.items())
if has_changed:
# Run some of normalization again such that we don't:
# - persist e.g. incredibly large stacktraces from minidumps
# - store event timestamps that are older than our retention window
# (also happening with minidumps)
normalizer = StoreNormalizer(remove_other=False,
is_renormalize=True,
**DEFAULT_STORE_NORMALIZER_ARGS)
data = normalizer.normalize_event(dict(data))
issues = data.get("processing_issues")
try:
if issues and create_failed_event(
cache_key,
data,
project_id,
list(issues.values()),
event_id=event_id,
start_time=start_time,
reprocessing_rev=reprocessing_rev,
):
return
except RetryProcessing:
# If `create_failed_event` indicates that we need to retry we
# invoke ourselves again. This happens when the reprocessing
# revision changed while we were processing.
_do_preprocess_event(cache_key, data, start_time, event_id,
process_task, project)
return
cache_key = event_processing_store.store(data)
from_reprocessing = process_task is process_event_from_reprocessing
submit_save_event(project, from_reprocessing, cache_key, event_id,
start_time, data)
def load_data(platform, default=None, sample_name=None):
# NOTE: Before editing this data, make sure you understand the context
# in which its being used. It is NOT only used for local development and
# has production consequences.
# * bin/load-mocks to generate fake data for local testing
# * When a new project is created, a fake event is generated as a "starter"
# event so it's not an empty project.
# * When a user clicks Test Configuration from notification plugin settings page,
# a fake event is generated to go through the pipeline.
data = None
language = None
platform_data = INTEGRATION_ID_TO_PLATFORM_DATA.get(platform)
if platform_data is not None and platform_data['type'] != 'language':
language = platform_data['language']
for platform in (platform, language, default):
if not platform:
continue
json_path = os.path.join(DATA_ROOT, 'samples',
'%s.json' % (platform.encode('utf-8'), ))
if not os.path.exists(json_path):
continue
if not sample_name:
try:
sample_name = INTEGRATION_ID_TO_PLATFORM_DATA[platform]['name']
except KeyError:
pass
with open(json_path) as fp:
data = json.loads(fp.read())
break
if data is None:
return
data = CanonicalKeyDict(data)
if platform in ('csp', 'hkpk', 'expectct', 'expectstaple'):
return data
data['platform'] = platform
# XXX: Message is a legacy alias for logentry. Do not overwrite if set.
if 'message' not in data:
data['message'] = 'This is an example %s exception' % (sample_name
or platform, )
data.setdefault(
'user',
generate_user(
ip_address='127.0.0.1',
username='******',
id=1,
email='*****@*****.**',
))
data.setdefault(
'extra', {
'session': {
'foo': 'bar',
},
'results': [1, 2, 3, 4, 5],
'emptyList': [],
'emptyMap': {},
'length': 10837790,
'unauthorized': False,
'url': 'http://example.org/foo/bar/',
})
data.setdefault('modules', {
'my.package': '1.0.0',
})
data.setdefault(
'request', {
"cookies": 'foo=bar;biz=baz',
"url": "http://example.com/foo",
"headers": {
"Referer":
"http://example.com",
"Content-Type":
"application/json",
"User-Agent":
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1500.72 Safari/537.36"
},
"env": {
'ENV': 'prod',
},
"query_string": "foo=bar",
"data": '{"hello": "world"}',
"method": "GET"
})
return data
def load_data(platform, default=None, sample_name=None):
# NOTE: Before editing this data, make sure you understand the context
# in which its being used. It is NOT only used for local development and
# has production consequences.
# * bin/load-mocks to generate fake data for local testing
# * When a new project is created, a fake event is generated as a "starter"
# event so it's not an empty project.
# * When a user clicks Test Configuration from notification plugin settings page,
# a fake event is generated to go through the pipeline.
data = None
language = None
platform_data = INTEGRATION_ID_TO_PLATFORM_DATA.get(platform)
if platform_data is not None and platform_data["type"] != "language":
language = platform_data["language"]
for platform in (platform, language, default):
if not platform:
continue
json_path = os.path.join(DATA_ROOT, "samples", "%s.json" % (platform.encode("utf-8"),))
if not os.path.exists(json_path):
continue
if not sample_name:
try:
sample_name = INTEGRATION_ID_TO_PLATFORM_DATA[platform]["name"]
except KeyError:
pass
with open(json_path) as fp:
data = json.loads(fp.read())
break
if data is None:
return
data = CanonicalKeyDict(data)
if platform in ("csp", "hkpk", "expectct", "expectstaple"):
return data
# Transaction events need timestamp data set to something current.
if platform == "transaction":
now = timezone.now()
now_time = to_timestamp(now)
start_time = to_timestamp(now - timedelta(seconds=-2))
data.setdefault("timestamp", now_time)
data.setdefault("start_timestamp", start_time)
for span in data["spans"]:
span.setdefault("timestamp", now_time)
span.setdefault("start_timestamp", start_time)
data["platform"] = platform
# XXX: Message is a legacy alias for logentry. Do not overwrite if set.
if "message" not in data:
data["message"] = "This is an example %s exception" % (sample_name or platform,)
data.setdefault(
"user",
generate_user(ip_address="127.0.0.1", username="******", id=1, email="*****@*****.**"),
)
data.setdefault(
"extra",
{
"session": {"foo": "bar"},
"results": [1, 2, 3, 4, 5],
"emptyList": [],
"emptyMap": {},
"length": 10837790,
"unauthorized": False,
"url": "http://example.org/foo/bar/",
},
)
data.setdefault("modules", {"my.package": "1.0.0"})
data.setdefault(
"request",
{
"cookies": "foo=bar;biz=baz",
"url": "http://example.com/foo",
"headers": {
"Referer": "http://example.com",
"Content-Type": "application/json",
"User-Agent": "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1500.72 Safari/537.36",
},
"env": {"ENV": "prod"},
"query_string": "foo=bar",
"data": '{"hello": "world"}',
"method": "GET",
},
)
return data
def _do_symbolicate_event(cache_key, start_time, event_id, symbolicate_task, data=None):
from sentry.lang.native.processing import get_symbolication_function
if data is None:
data = event_processing_store.get(cache_key)
if data is None:
metrics.incr(
"events.failed", tags={"reason": "cache", "stage": "symbolicate"}, skip_internal=False
)
error_logger.error("symbolicate.failed.empty", extra={"cache_key": cache_key})
return
data = CanonicalKeyDict(data)
project_id = data["project"]
set_current_project(project_id)
event_id = data["event_id"]
symbolication_function = get_symbolication_function(data)
has_changed = False
from_reprocessing = symbolicate_task is symbolicate_event_from_reprocessing
try:
with sentry_sdk.start_span(op="tasks.store.symbolicate_event.symbolication") as span:
span.set_data("symbolicaton_function", symbolication_function.__name__)
with metrics.timer("tasks.store.symbolicate_event.symbolication"):
symbolicated_data = symbolication_function(data)
span.set_data("symbolicated_data", bool(symbolicated_data))
if symbolicated_data:
data = symbolicated_data
has_changed = True
except RetrySymbolication as e:
if start_time and (time() - start_time) > settings.SYMBOLICATOR_PROCESS_EVENT_WARN_TIMEOUT:
error_logger.warning(
"symbolicate.slow", extra={"project_id": project_id, "event_id": event_id}
)
if start_time and (time() - start_time) > settings.SYMBOLICATOR_PROCESS_EVENT_HARD_TIMEOUT:
# Do not drop event but actually continue with rest of pipeline
# (persisting unsymbolicated event)
error_logger.exception(
"symbolicate.failed.infinite_retry",
extra={"project_id": project_id, "event_id": event_id},
)
data.setdefault("_metrics", {})["flag.processing.error"] = True
data.setdefault("_metrics", {})["flag.processing.fatal"] = True
has_changed = True
else:
# Requeue the task in the "sleep" queue
retry_symbolicate_event.apply_async(
args=(),
kwargs={
"symbolicate_task_name": symbolicate_task.__name__,
"task_kwargs": {
"cache_key": cache_key,
"event_id": event_id,
"start_time": start_time,
},
},
countdown=e.retry_after,
)
return
except Exception:
error_logger.exception("tasks.store.symbolicate_event.symbolication")
data.setdefault("_metrics", {})["flag.processing.error"] = True
data.setdefault("_metrics", {})["flag.processing.fatal"] = True
has_changed = True
# We cannot persist canonical types in the cache, so we need to
# downgrade this.
if isinstance(data, CANONICAL_TYPES):
data = dict(data.items())
if has_changed:
cache_key = event_processing_store.store(data)
process_task = process_event_from_reprocessing if from_reprocessing else process_event
_do_process_event(
cache_key=cache_key,
start_time=start_time,
event_id=event_id,
process_task=process_task,
data=data,
data_has_changed=has_changed,
from_symbolicate=True,
)
def load_data(platform, default=None, sample_name=None):
# NOTE: Before editing this data, make sure you understand the context
# in which its being used. It is NOT only used for local development and
# has production consequences.
# * bin/load-mocks to generate fake data for local testing
# * When a new project is created, a fake event is generated as a "starter"
# event so it's not an empty project.
# * When a user clicks Test Configuration from notification plugin settings page,
# a fake event is generated to go through the pipeline.
data = None
language = None
platform_data = INTEGRATION_ID_TO_PLATFORM_DATA.get(platform)
if platform_data is not None and platform_data['type'] != 'language':
language = platform_data['language']
for platform in (platform, language, default):
if not platform:
continue
json_path = os.path.join(DATA_ROOT, 'samples', '%s.json' % (platform.encode('utf-8'), ))
if not os.path.exists(json_path):
continue
if not sample_name:
try:
sample_name = INTEGRATION_ID_TO_PLATFORM_DATA[platform]['name']
except KeyError:
pass
with open(json_path) as fp:
data = json.loads(fp.read())
break
if data is None:
return
data = CanonicalKeyDict(data)
if platform in ('csp', 'hkpk', 'expectct', 'expectstaple'):
return data
data['platform'] = platform
# XXX: Message is a legacy alias for logentry. Do not overwrite if set.
if 'message' not in data:
data['message'] = 'This is an example %s exception' % (sample_name or platform, )
data.setdefault('user', generate_user(
ip_address='127.0.0.1',
username='******',
id=1,
email='*****@*****.**',
))
data.setdefault('extra', {
'session': {
'foo': 'bar',
},
'results': [1, 2, 3, 4, 5],
'emptyList': [],
'emptyMap': {},
'length': 10837790,
'unauthorized': False,
'url': 'http://example.org/foo/bar/',
})
data.setdefault('modules', {
'my.package': '1.0.0',
})
data.setdefault('request', {
"cookies": 'foo=bar;biz=baz',
"url": "http://example.com/foo",
"headers": {
"Referer":
"http://example.com",
"Content-Type":
"application/json",
"User-Agent":
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1500.72 Safari/537.36"
},
"env": {
'ENV': 'prod',
},
"query_string": "foo=bar",
"data": '{"hello": "world"}',
"method": "GET"
})
return data
def _do_symbolicate_event(
cache_key, start_time, event_id, symbolicate_task, data=None, queue_switches=0
):
from sentry.lang.native.processing import get_symbolication_function
if data is None:
data = event_processing_store.get(cache_key)
if data is None:
metrics.incr(
"events.failed", tags={"reason": "cache", "stage": "symbolicate"}, skip_internal=False
)
error_logger.error("symbolicate.failed.empty", extra={"cache_key": cache_key})
return
data = CanonicalKeyDict(data)
project_id = data["project"]
set_current_event_project(project_id)
event_id = data["event_id"]
from_reprocessing = (
symbolicate_task is symbolicate_event_from_reprocessing
or symbolicate_task is symbolicate_event_from_reprocessing_low_priority
)
# check whether the event is in the wrong queue and if so, move it to the other one.
# we do this at most SYMBOLICATOR_MAX_QUEUE_SWITCHES times.
if queue_switches >= SYMBOLICATOR_MAX_QUEUE_SWITCHES:
metrics.gauge("tasks.store.symbolicate_event.low_priority.max_queue_switches", 1)
else:
is_low_priority = symbolicate_task in [
symbolicate_event_low_priority,
symbolicate_event_from_reprocessing_low_priority,
]
should_be_low_priority = should_demote_symbolication(project_id)
if is_low_priority != should_be_low_priority:
metrics.gauge("tasks.store.symbolicate_event.low_priority.wrong_queue", 1)
submit_symbolicate(
should_be_low_priority,
from_reprocessing,
cache_key,
event_id,
start_time,
data,
queue_switches + 1,
)
return
def _continue_to_process_event():
process_task = process_event_from_reprocessing if from_reprocessing else process_event
_do_process_event(
cache_key=cache_key,
start_time=start_time,
event_id=event_id,
process_task=process_task,
data=data,
data_has_changed=has_changed,
from_symbolicate=True,
)
symbolication_function = get_symbolication_function(data)
symbolication_function_name = getattr(symbolication_function, "__name__", "none")
if killswitch_matches_context(
"store.load-shed-symbolicate-event-projects",
{
"project_id": project_id,
"event_id": event_id,
"platform": data.get("platform") or "null",
"symbolication_function": symbolication_function_name,
},
):
return _continue_to_process_event()
has_changed = False
symbolication_start_time = time()
submission_ratio = options.get("symbolicate-event.low-priority.metrics.submission-rate")
submit_realtime_metrics = not from_reprocessing and random.random() < submission_ratio
if submit_realtime_metrics:
with sentry_sdk.start_span(op="tasks.store.symbolicate_event.low_priority.metrics.counter"):
timestamp = int(symbolication_start_time)
try:
realtime_metrics.increment_project_event_counter(project_id, timestamp)
except Exception as e:
sentry_sdk.capture_exception(e)
with sentry_sdk.start_span(op="tasks.store.symbolicate_event.symbolication") as span:
span.set_data("symbolication_function", symbolication_function_name)
with metrics.timer(
"tasks.store.symbolicate_event.symbolication",
tags={"symbolication_function": symbolication_function_name},
):
while True:
try:
with sentry_sdk.start_span(
op="tasks.store.symbolicate_event.%s" % symbolication_function_name
) as span:
symbolicated_data = symbolication_function(data)
span.set_data("symbolicated_data", bool(symbolicated_data))
if symbolicated_data:
data = symbolicated_data
has_changed = True
break
except RetrySymbolication as e:
if (
time() - symbolication_start_time
) > settings.SYMBOLICATOR_PROCESS_EVENT_WARN_TIMEOUT:
error_logger.warning(
"symbolicate.slow",
extra={"project_id": project_id, "event_id": event_id},
)
if (
time() - symbolication_start_time
) > settings.SYMBOLICATOR_PROCESS_EVENT_HARD_TIMEOUT:
# Do not drop event but actually continue with rest of pipeline
# (persisting unsymbolicated event)
metrics.incr(
"tasks.store.symbolicate_event.fatal",
tags={
"reason": "timeout",
"symbolication_function": symbolication_function_name,
},
)
error_logger.exception(
"symbolicate.failed.infinite_retry",
extra={"project_id": project_id, "event_id": event_id},
)
data.setdefault("_metrics", {})["flag.processing.error"] = True
data.setdefault("_metrics", {})["flag.processing.fatal"] = True
has_changed = True
break
else:
# sleep for `retry_after` but max 5 seconds and try again
metrics.incr(
"tasks.store.symbolicate_event.retry",
tags={"symbolication_function": symbolication_function_name},
)
sleep(min(e.retry_after, SYMBOLICATOR_MAX_RETRY_AFTER))
continue
except Exception:
metrics.incr(
"tasks.store.symbolicate_event.fatal",
tags={
"reason": "error",
"symbolication_function": symbolication_function_name,
},
)
error_logger.exception("tasks.store.symbolicate_event.symbolication")
data.setdefault("_metrics", {})["flag.processing.error"] = True
data.setdefault("_metrics", {})["flag.processing.fatal"] = True
has_changed = True
break
if submit_realtime_metrics:
with sentry_sdk.start_span(
op="tasks.store.symbolicate_event.low_priority.metrics.histogram"
):
symbolication_duration = int(time() - symbolication_start_time)
try:
realtime_metrics.increment_project_duration_counter(
project_id, timestamp, symbolication_duration
)
except Exception as e:
sentry_sdk.capture_exception(e)
# We cannot persist canonical types in the cache, so we need to
# downgrade this.
if isinstance(data, CANONICAL_TYPES):
data = dict(data.items())
if has_changed:
cache_key = event_processing_store.store(data)
return _continue_to_process_event()
