def create_event(self, event_id=None, **kwargs):
if event_id is None:
event_id = uuid4().hex
if 'group' not in kwargs:
kwargs['group'] = self.group
kwargs.setdefault('project', kwargs['group'].project)
kwargs.setdefault('message', kwargs['group'].message)
kwargs.setdefault('data', LEGACY_DATA.copy())
if kwargs.get('tags'):
tags = kwargs.pop('tags')
if isinstance(tags, dict):
tags = tags.items()
kwargs['data']['tags'] = tags
kwargs['data'].setdefault('errors', [{
'type': EventError.INVALID_DATA,
'name': 'foobar',
}])
event = Event(
event_id=event_id,
**kwargs
)
# emulate EventManager refs
event.data.bind_ref(event)
event.save()
return event
def create_event(self, event_id=None, **kwargs):
if event_id is None:
event_id = uuid4().hex
if 'group' not in kwargs:
kwargs['group'] = self.group
kwargs.setdefault('project', kwargs['group'].project)
kwargs.setdefault('data', copy.deepcopy(DEFAULT_EVENT_DATA))
if kwargs.get('tags'):
tags = kwargs.pop('tags')
if isinstance(tags, dict):
tags = tags.items()
kwargs['data']['tags'] = tags
kwargs['data'].setdefault('errors', [{
'type': EventError.INVALID_DATA,
'name': 'foobar',
}])
event = Event(
event_id=event_id,
**kwargs
)
EventMapping.objects.create(
project_id=event.project.id,
event_id=event_id,
group=event.group,
)
# emulate EventManager refs
event.data.bind_ref(event)
event.save()
return event
def create_event(group=None,
project=None,
event_id=None,
normalize=True,
**kwargs):
# XXX: Do not use this method for new tests! Prefer `store_event`.
if event_id is None:
event_id = uuid4().hex
kwargs.setdefault('project', project if project else group.project)
kwargs.setdefault('data', copy.deepcopy(DEFAULT_EVENT_DATA))
kwargs.setdefault('platform', kwargs['data'].get('platform', 'python'))
kwargs.setdefault('message', kwargs['data'].get('message', 'message'))
if kwargs.get('tags'):
tags = kwargs.pop('tags')
if isinstance(tags, dict):
tags = list(tags.items())
kwargs['data']['tags'] = tags
if kwargs.get('stacktrace'):
stacktrace = kwargs.pop('stacktrace')
kwargs['data']['stacktrace'] = stacktrace
user = kwargs.pop('user', None)
if user is not None:
kwargs['data']['user'] = user
kwargs['data'].setdefault('errors', [{
'type': EventError.INVALID_DATA,
'name': 'foobar',
}])
# maintain simple event Factories by supporting the legacy message
# parameter just like our API would
if 'logentry' not in kwargs['data']:
kwargs['data']['logentry'] = {
'message': kwargs['message'] or '<unlabeled event>',
}
if normalize:
manager = EventManager(CanonicalKeyDict(kwargs['data']))
manager.normalize()
kwargs['data'] = manager.get_data()
kwargs['data'].update(manager.materialize_metadata())
kwargs['message'] = manager.get_search_message()
# This is needed so that create_event saves the event in nodestore
# under the correct key. This is usually dont in EventManager.save()
kwargs['data'].setdefault(
'node_id', Event.generate_node_id(kwargs['project'].id, event_id))
event = Event(event_id=event_id, group=group, **kwargs)
if group:
EventMapping.objects.create(
project_id=event.project.id,
event_id=event_id,
group=group,
)
# emulate EventManager refs
event.data.bind_ref(event)
event.save()
return event
def create_event(group, event_id=None, normalize=True, **kwargs):
# XXX: Do not use this method for new tests! Prefer `store_event`.
if event_id is None:
event_id = uuid4().hex
kwargs.setdefault('project', group.project)
kwargs.setdefault('data', copy.deepcopy(DEFAULT_EVENT_DATA))
kwargs.setdefault('platform', kwargs['data'].get('platform', 'python'))
kwargs.setdefault('message', kwargs['data'].get('message', 'message'))
if kwargs.get('tags'):
tags = kwargs.pop('tags')
if isinstance(tags, dict):
tags = list(tags.items())
kwargs['data']['tags'] = tags
if kwargs.get('stacktrace'):
stacktrace = kwargs.pop('stacktrace')
kwargs['data']['stacktrace'] = stacktrace
user = kwargs.pop('user', None)
if user is not None:
kwargs['data']['user'] = user
kwargs['data'].setdefault(
'errors', [{
'type': EventError.INVALID_DATA,
'name': 'foobar',
}]
)
# maintain simple event Factories by supporting the legacy message
# parameter just like our API would
if 'logentry' not in kwargs['data']:
kwargs['data']['logentry'] = {
'message': kwargs['message'] or '<unlabeled event>',
}
if normalize:
manager = EventManager(CanonicalKeyDict(kwargs['data']))
manager.normalize()
kwargs['data'] = manager.get_data()
kwargs['data'].update(manager.materialize_metadata())
kwargs['message'] = manager.get_search_message()
# This is needed so that create_event saves the event in nodestore
# under the correct key. This is usually dont in EventManager.save()
kwargs['data'].setdefault(
'node_id',
Event.generate_node_id(kwargs['project'].id, event_id)
)
event = Event(event_id=event_id, group=group, **kwargs)
EventMapping.objects.create(
project_id=event.project.id,
event_id=event_id,
group=group,
)
# emulate EventManager refs
event.data.bind_ref(event)
event.save()
return event
def create_event(self, event_id=None, normalize=True, **kwargs):
if event_id is None:
event_id = uuid4().hex
if 'group' not in kwargs:
kwargs['group'] = self.group
kwargs.setdefault('project', kwargs['group'].project)
kwargs.setdefault('data', copy.deepcopy(DEFAULT_EVENT_DATA))
kwargs.setdefault('platform', kwargs['data'].get('platform', 'python'))
kwargs.setdefault('message', kwargs['data'].get('message', 'message'))
if kwargs.get('tags'):
tags = kwargs.pop('tags')
if isinstance(tags, dict):
tags = list(tags.items())
kwargs['data']['tags'] = tags
if kwargs.get('stacktrace'):
stacktrace = kwargs.pop('stacktrace')
kwargs['data']['stacktrace'] = stacktrace
user = kwargs.pop('user', None)
if user is not None:
kwargs['data']['user'] = user
kwargs['data'].setdefault(
'errors', [{
'type': EventError.INVALID_DATA,
'name': 'foobar',
}]
)
# maintain simple event fixtures by supporting the legacy message
# parameter just like our API would
if 'logentry' not in kwargs['data']:
kwargs['data']['logentry'] = {
'message': kwargs.get('message') or '<unlabeled event>',
}
if normalize:
manager = EventManager(CanonicalKeyDict(kwargs['data']),
for_store=False)
manager.normalize()
kwargs['data'] = manager.get_data()
kwargs['message'] = manager.get_search_message()
else:
assert 'message' not in kwargs, 'do not pass message this way'
event = Event(event_id=event_id, **kwargs)
EventMapping.objects.create(
project_id=event.project.id,
event_id=event_id,
group=event.group,
)
# emulate EventManager refs
event.data.bind_ref(event)
event.save()
return event
def create_event(self, event_id=None, normalize=True, **kwargs):
if event_id is None:
event_id = uuid4().hex
if 'group' not in kwargs:
kwargs['group'] = self.group
kwargs.setdefault('project', kwargs['group'].project)
kwargs.setdefault('data', copy.deepcopy(DEFAULT_EVENT_DATA))
kwargs.setdefault('platform', kwargs['data'].get('platform', 'python'))
kwargs.setdefault('message', kwargs['data'].get('message', 'message'))
if kwargs.get('tags'):
tags = kwargs.pop('tags')
if isinstance(tags, dict):
tags = list(tags.items())
kwargs['data']['tags'] = tags
if kwargs.get('stacktrace'):
stacktrace = kwargs.pop('stacktrace')
kwargs['data']['stacktrace'] = stacktrace
user = kwargs.pop('user', None)
if user is not None:
kwargs['data']['user'] = user
kwargs['data'].setdefault(
'errors', [{
'type': EventError.INVALID_DATA,
'name': 'foobar',
}]
)
# maintain simple event fixtures by supporting the legacy message
# parameter just like our API would
if 'logentry' not in kwargs['data']:
kwargs['data']['logentry'] = {
'message': kwargs.get('message') or '<unlabeled event>',
}
if normalize:
manager = EventManager(CanonicalKeyDict(kwargs['data']),
for_store=False)
manager.normalize()
kwargs['data'] = manager.get_data()
kwargs['message'] = manager.get_search_message()
else:
assert 'message' not in kwargs, 'do not pass message this way'
event = Event(event_id=event_id, **kwargs)
EventMapping.objects.create(
project_id=event.project.id,
event_id=event_id,
group=event.group,
)
# emulate EventManager refs
event.data.bind_ref(event)
event.save()
return event
def create_event(group=None,
project=None,
event_id=None,
normalize=True,
**kwargs):
# XXX: Do not use this method for new tests! Prefer `store_event`.
if event_id is None:
event_id = uuid4().hex
kwargs.setdefault("project", project if project else group.project)
kwargs.setdefault("data", copy.deepcopy(DEFAULT_EVENT_DATA))
kwargs.setdefault("platform", kwargs["data"].get("platform", "python"))
kwargs.setdefault("message", kwargs["data"].get("message", "message"))
if kwargs.get("tags"):
tags = kwargs.pop("tags")
if isinstance(tags, dict):
tags = list(tags.items())
kwargs["data"]["tags"] = tags
if kwargs.get("stacktrace"):
stacktrace = kwargs.pop("stacktrace")
kwargs["data"]["stacktrace"] = stacktrace
user = kwargs.pop("user", None)
if user is not None:
kwargs["data"]["user"] = user
kwargs["data"].setdefault("errors", [{
"type": EventError.INVALID_DATA,
"name": "foobar"
}])
# maintain simple event Factories by supporting the legacy message
# parameter just like our API would
if "logentry" not in kwargs["data"]:
kwargs["data"]["logentry"] = {
"message": kwargs["message"] or "<unlabeled event>"
}
if normalize:
manager = EventManager(CanonicalKeyDict(kwargs["data"]))
manager.normalize()
kwargs["data"] = manager.get_data()
kwargs["data"].update(manager.materialize_metadata())
kwargs["message"] = manager.get_search_message()
# This is needed so that create_event saves the event in nodestore
# under the correct key. This is usually dont in EventManager.save()
kwargs["data"].setdefault(
"node_id", Event.generate_node_id(kwargs["project"].id, event_id))
event = Event(event_id=event_id, group=group, **kwargs)
# emulate EventManager refs
event.data.bind_ref(event)
event.save()
event.data.save()
return event
def create_event(self, event_id=None, **kwargs):
if event_id is None:
event_id = uuid4().hex
if 'group' not in kwargs:
kwargs['group'] = self.group
kwargs.setdefault('project', kwargs['group'].project)
kwargs.setdefault('data', copy.deepcopy(DEFAULT_EVENT_DATA))
kwargs.setdefault('platform', kwargs['data'].get('platform', 'python'))
kwargs.setdefault('message', kwargs['data'].get('message', 'message'))
if kwargs.get('tags'):
tags = kwargs.pop('tags')
if isinstance(tags, dict):
tags = list(tags.items())
kwargs['data']['tags'] = tags
if kwargs.get('stacktrace'):
stacktrace = kwargs.pop('stacktrace')
kwargs['data']['sentry.interfaces.Stacktrace'] = stacktrace
kwargs['data'].setdefault(
'errors', [{
'type': EventError.INVALID_DATA,
'name': 'foobar',
}]
)
# maintain simple event fixtures by supporting the legacy message
# parameter just like our API would
if 'sentry.interfaces.Message' not in kwargs['data']:
kwargs['data']['sentry.interfaces.Message'] = {
'message': kwargs.get('message') or '<unlabeled event>',
}
if 'type' not in kwargs['data']:
kwargs['data'].update(
{
'type': 'default',
'metadata': {
'title': kwargs['data']['sentry.interfaces.Message']['message'],
},
}
)
kwargs['data'] = CanonicalKeyDict(kwargs.pop('data'))
event = Event(event_id=event_id, **kwargs)
EventMapping.objects.create(
project_id=event.project.id,
event_id=event_id,
group=event.group,
)
# emulate EventManager refs
event.data.bind_ref(event)
event.save()
return event
def create_event(self, event_id=None, **kwargs):
if event_id is None:
event_id = uuid4().hex
if 'group' not in kwargs:
kwargs['group'] = self.group
kwargs.setdefault('project', kwargs['group'].project)
kwargs.setdefault('data', copy.deepcopy(DEFAULT_EVENT_DATA))
kwargs.setdefault('platform', kwargs['data'].get('platform', 'python'))
kwargs.setdefault('message', kwargs['data'].get('message', 'message'))
if kwargs.get('tags'):
tags = kwargs.pop('tags')
if isinstance(tags, dict):
tags = list(tags.items())
kwargs['data']['tags'] = tags
if kwargs.get('stacktrace'):
stacktrace = kwargs.pop('stacktrace')
kwargs['data']['sentry.interfaces.Stacktrace'] = stacktrace
kwargs['data'].setdefault(
'errors', [{
'type': EventError.INVALID_DATA,
'name': 'foobar',
}]
)
# maintain simple event fixtures by supporting the legacy message
# parameter just like our API would
if 'sentry.interfaces.Message' not in kwargs['data']:
kwargs['data']['sentry.interfaces.Message'] = {
'message': kwargs.get('message') or '<unlabeled event>',
}
if 'type' not in kwargs['data']:
kwargs['data'].update(
{
'type': 'default',
'metadata': {
'title': kwargs['data']['sentry.interfaces.Message']['message'],
},
}
)
kwargs['data'] = CanonicalKeyDict(kwargs.pop('data'))
event = Event(event_id=event_id, **kwargs)
EventMapping.objects.create(
project_id=event.project.id,
event_id=event_id,
group=event.group,
)
# emulate EventManager refs
event.data.bind_ref(event)
event.save()
return event
def test_event_node_id(self):
# Create an event without specifying node_id. A node_id should be generated
e1 = Event(project_id=1, event_id='abc', data={'foo': 'bar'})
e1.save()
e1_node_id = e1.data.id
assert e1.data.id is not None, "We should have generated a node_id for this event"
e1_body = nodestore.get(e1_node_id)
assert e1_body == {'foo': 'bar'}, "The event body should be in nodestore"
e1 = Event.objects.get(project_id=1, event_id='abc')
assert e1.data.data == {'foo': 'bar'}, "The event body should be loaded from nodestore"
assert e1.data.id == e1_node_id, "The event's node_id should be the same after load"
# Create another event that references the same nodestore object as the first event.
e2 = Event(project_id=1, event_id='def', data={'node_id': e1_node_id})
assert e2.data.id == e1_node_id, "The event should use the provided node_id"
e2_body = nodestore.get(e1_node_id)
assert e2_body == {'foo': 'bar'}, "The event body should be in nodestore already"
e2.save()
e2_body = nodestore.get(e1_node_id)
assert e2_body == {'foo': 'bar'}, "The event body should not be overwritten by save"
e2 = Event.objects.get(project_id=1, event_id='def')
assert e2.data.data == {'foo': 'bar'}, "The event body should be loaded from nodestore"
assert e2.data.id == e1_node_id, "The event's node_id should be the same after load"
# Create an event with a new event body that specifies the node_id to use.
e3 = Event(project_id=1, event_id='ghi', data={'baz': 'quux', 'node_id': '1:ghi'})
assert e3.data.id == '1:ghi', "Event should have the specified node_id"
assert e3.data.data == {'baz': 'quux'}, "Event body should be the one provided (sans node_id)"
e3.save()
e3_body = nodestore.get('1:ghi')
assert e3_body == {'baz': 'quux'}, "Event body should be saved to nodestore"
e3 = Event.objects.get(project_id=1, event_id='ghi')
assert e3.data.data == {'baz': 'quux'}, "Event body should be loaded from nodestore"
assert e3.data.id == '1:ghi', "Loaded event should have the correct node_id"
# Try load it again, but using the pickled/compressed string we would expect to find
# in the column
e3_pickled_id = compress(pickle.dumps({'node_id': '1:ghi'}))
e3 = Event(project_id=1, event_id='jkl', data=e3_pickled_id)
assert e3.data.data == {'baz': 'quux'}, "Event body should be loaded from nodestore"
# Event with no data should not be saved (or loaded) from nodestore
e4 = Event(project_id=1, event_id='mno', data=None)
e4.save()
assert nodestore.get('1:mno') is None, "We should not have saved anything to nodestore"
e4 = Event.objects.get(project_id=1, event_id='mno')
assert e4.data.id is None
assert e4.data.data == {} # NodeData returns {} by default
Event.objects.bind_nodes([e4], 'data')
assert e4.data.id is None
assert e4.data.data == {}
def create_event(self, event_id=None, **kwargs):
if event_id is None:
event_id = uuid4().hex
if 'group' not in kwargs:
kwargs['group'] = self.group
kwargs.setdefault('project', kwargs['group'].project)
kwargs.setdefault('message', kwargs['group'].message)
kwargs.setdefault('data', LEGACY_DATA.copy())
if kwargs.get('tags'):
tags = kwargs.pop('tags')
if isinstance(tags, dict):
tags = tags.items()
kwargs['data']['tags'] = tags
event = Event(event_id=event_id, **kwargs)
# emulate EventManager refs
event.data.bind_ref(event)
event.save()
return event
def create_event(self, event_id=None, **kwargs):
if event_id is None:
event_id = uuid4().hex
if "group" not in kwargs:
kwargs["group"] = self.group
kwargs.setdefault("project", kwargs["group"].project)
kwargs.setdefault("data", copy.deepcopy(DEFAULT_EVENT_DATA))
if kwargs.get("tags"):
tags = kwargs.pop("tags")
if isinstance(tags, dict):
tags = list(tags.items())
kwargs["data"]["tags"] = tags
kwargs["data"].setdefault("errors", [{"type": EventError.INVALID_DATA, "name": "foobar"}])
event = Event(event_id=event_id, **kwargs)
EventMapping.objects.create(project_id=event.project.id, event_id=event_id, group=event.group)
# emulate EventManager refs
event.data.bind_ref(event)
event.save()
return event
def save(self, project, raw=False):
project = Project.objects.get_from_cache(id=project)
data = self.data.copy()
# First we pull out our top-level (non-data attr) kwargs
event_id = data.pop('event_id')
message = data.pop('message')
level = data.pop('level')
culprit = data.pop('culprit', None)
time_spent = data.pop('time_spent', None)
logger_name = data.pop('logger', None)
server_name = data.pop('server_name', None)
site = data.pop('site', None)
checksum = data.pop('checksum', None)
fingerprint = data.pop('fingerprint', None)
platform = data.pop('platform', None)
release = data.pop('release', None)
environment = data.pop('environment', None)
if not culprit:
culprit = generate_culprit(data)
date = datetime.fromtimestamp(data.pop('timestamp'))
date = date.replace(tzinfo=timezone.utc)
kwargs = {
'message': message,
'platform': platform,
}
event = Event(
project=project,
event_id=event_id,
data=data,
time_spent=time_spent,
datetime=date,
**kwargs
)
tags = data.get('tags') or []
tags.append(('level', LOG_LEVELS[level]))
if logger_name:
tags.append(('logger', logger_name))
if server_name:
tags.append(('server_name', server_name))
if site:
tags.append(('site', site))
if release:
# TODO(dcramer): we should ensure we create Release objects
tags.append(('sentry:release', release))
if environment:
tags.append(('environment', environment))
for plugin in plugins.for_project(project, version=None):
added_tags = safe_execute(plugin.get_tags, event,
_with_transaction=False)
if added_tags:
tags.extend(added_tags)
event_user = self._get_event_user(project, data)
if event_user:
tags.append(('sentry:user', event_user.tag_value))
# XXX(dcramer): we're relying on mutation of the data object to ensure
# this propagates into Event
data['tags'] = tags
data['fingerprint'] = fingerprint or '{{ default }}'
# prioritize fingerprint over checksum as its likely the client defaulted
# a checksum whereas the fingerprint was explicit
if fingerprint:
hashes = map(md5_from_hash, get_hashes_from_fingerprint(event, fingerprint))
elif checksum:
hashes = [checksum]
else:
hashes = map(md5_from_hash, get_hashes_for_event(event))
group_kwargs = kwargs.copy()
group_kwargs.update({
'culprit': culprit,
'logger': logger_name,
'level': level,
'last_seen': date,
'first_seen': date,
'time_spent_total': time_spent or 0,
'time_spent_count': time_spent and 1 or 0,
})
if release:
release = Release.get_or_create(
project=project,
version=release,
date_added=date,
)
group_kwargs['first_release'] = release
Activity.objects.create(
type=Activity.RELEASE,
project=project,
ident=release,
data={'version': release},
datetime=date,
)
group, is_new, is_regression, is_sample = self._save_aggregate(
event=event,
hashes=hashes,
release=release,
**group_kwargs
)
event.group = group
event.group_id = group.id
# store a reference to the group id to guarantee validation of isolation
event.data.bind_ref(event)
try:
with transaction.atomic():
EventMapping.objects.create(
project=project, group=group, event_id=event_id)
except IntegrityError:
self.logger.info('Duplicate EventMapping found for event_id=%s', event_id)
return event
UserReport.objects.filter(
project=project, event_id=event_id,
).update(group=group)
# save the event unless its been sampled
if not is_sample:
try:
with transaction.atomic():
event.save()
except IntegrityError:
self.logger.info('Duplicate Event found for event_id=%s', event_id)
return event
if event_user:
tsdb.record_multi((
(tsdb.models.users_affected_by_group, group.id, (event_user.tag_value,)),
(tsdb.models.users_affected_by_project, project.id, (event_user.tag_value,)),
), timestamp=event.datetime)
if is_new and release:
buffer.incr(Release, {'new_groups': 1}, {
'id': release.id,
})
safe_execute(Group.objects.add_tags, group, tags,
_with_transaction=False)
if not raw:
if not project.first_event:
project.update(first_event=date)
post_process_group.delay(
group=group,
event=event,
is_new=is_new,
is_sample=is_sample,
is_regression=is_regression,
)
else:
self.logger.info('Raw event passed; skipping post process for event_id=%s', event_id)
index_event.delay(event)
# TODO: move this to the queue
if is_regression and not raw:
regression_signal.send_robust(sender=Group, instance=group)
return event
def save(self, project, raw=False):
# TODO: culprit should default to "most recent" frame in stacktraces when
# it's not provided.
project = Project.objects.get_from_cache(id=project)
data = self.data.copy()
# First we pull out our top-level (non-data attr) kwargs
event_id = data.pop('event_id')
message = data.pop('message')
level = data.pop('level')
culprit = data.pop('culprit', None) or ''
time_spent = data.pop('time_spent', None)
logger_name = data.pop('logger', None)
server_name = data.pop('server_name', None)
site = data.pop('site', None)
checksum = data.pop('checksum', None)
platform = data.pop('platform', None)
release = data.pop('release', None)
date = datetime.fromtimestamp(data.pop('timestamp'))
date = date.replace(tzinfo=timezone.utc)
kwargs = {
'message': message,
'platform': platform,
}
event = Event(
project=project,
event_id=event_id,
data=data,
time_spent=time_spent,
datetime=date,
**kwargs
)
# Calculate the checksum from the first highest scoring interface
if checksum:
hashes = [checksum]
else:
hashes = get_hashes_for_event(event)
# TODO(dcramer): remove checksum usage
event.checksum = hashes[0]
group_kwargs = kwargs.copy()
group_kwargs.update({
'culprit': culprit,
'logger': logger_name,
'level': level,
'last_seen': date,
'first_seen': date,
'time_spent_total': time_spent or 0,
'time_spent_count': time_spent and 1 or 0,
})
tags = data['tags']
tags.append(('level', LOG_LEVELS[level]))
if logger_name:
tags.append(('logger', logger_name))
if server_name:
tags.append(('server_name', server_name))
if site:
tags.append(('site', site))
if release:
# TODO(dcramer): we should ensure we create Release objects
tags.append(('sentry:release', release))
for plugin in plugins.for_project(project):
added_tags = safe_execute(plugin.get_tags, event)
if added_tags:
tags.extend(added_tags)
result = safe_execute(
self._save_aggregate,
event=event,
tags=tags,
hashes=hashes,
**group_kwargs
)
if result is None:
return
group, is_new, is_regression, is_sample = result
using = group._state.db
event.group = group
# save the event unless its been sampled
if not is_sample:
sid = transaction.savepoint(using=using)
try:
event.save()
except IntegrityError:
transaction.savepoint_rollback(sid, using=using)
return event
transaction.savepoint_commit(sid, using=using)
sid = transaction.savepoint(using=using)
try:
EventMapping.objects.create(
project=project, group=group, event_id=event_id)
except IntegrityError:
transaction.savepoint_rollback(sid, using=using)
return event
transaction.savepoint_commit(sid, using=using)
transaction.commit_unless_managed(using=using)
if not raw:
post_process_group.delay(
group=group,
event=event,
is_new=is_new,
is_sample=is_sample,
is_regression=is_regression,
)
index_event.delay(event)
# TODO: move this to the queue
if is_regression and not raw:
regression_signal.send_robust(sender=Group, instance=group)
return event
def save_data(self, project, data, raw=False):
# TODO: this function is way too damn long and needs refactored
# the inner imports also suck so let's try to move it away from
# the objects manager
# TODO: culprit should default to "most recent" frame in stacktraces when
# it's not provided.
from sentry.plugins import plugins
from sentry.models import Event, Project, EventMapping
project = Project.objects.get_from_cache(id=project)
Raven.tags_context({'project': project.id})
# First we pull out our top-level (non-data attr) kwargs
event_id = data.pop('event_id')
message = data.pop('message')
culprit = data.pop('culprit')
level = data.pop('level')
time_spent = data.pop('time_spent')
logger_name = data.pop('logger')
server_name = data.pop('server_name')
site = data.pop('site')
date = data.pop('timestamp')
checksum = data.pop('checksum')
platform = data.pop('platform')
if 'sentry.interfaces.Exception' in data:
if 'values' not in data['sentry.interfaces.Exception']:
data['sentry.interfaces.Exception'] = {'values': [data['sentry.interfaces.Exception']]}
# convert stacktrace + exception into expanded exception
if 'sentry.interfaces.Stacktrace' in data:
data['sentry.interfaces.Exception']['values'][0]['stacktrace'] = data.pop('sentry.interfaces.Stacktrace')
kwargs = {
'level': level,
'message': message,
'platform': platform,
'culprit': culprit or '',
'logger': logger_name,
}
event = Event(
project=project,
event_id=event_id,
data=data,
server_name=server_name,
site=site,
time_spent=time_spent,
datetime=date,
**kwargs
)
# Calculate the checksum from the first highest scoring interface
if not checksum:
checksum = get_checksum_from_event(event)
event.checksum = checksum
group_kwargs = kwargs.copy()
group_kwargs.update({
'last_seen': date,
'first_seen': date,
'time_spent_total': time_spent or 0,
'time_spent_count': time_spent and 1 or 0,
})
tags = data['tags']
tags.append(('level', LOG_LEVELS[level]))
if logger:
tags.append(('logger', logger_name))
if server_name:
tags.append(('server_name', server_name))
if site:
tags.append(('site', site))
for plugin in plugins.for_project(project):
added_tags = safe_execute(plugin.get_tags, event)
if added_tags:
tags.extend(added_tags)
try:
group, is_new, is_sample = self._create_group(
event=event,
tags=data['tags'],
**group_kwargs
)
except Exception as exc:
# TODO: should we mail admins when there are failures?
try:
logger.exception(u'Unable to process log entry: %s', exc)
except Exception as exc:
warnings.warn(u'Unable to process log entry: %s', exc)
return
using = group._state.db
event.group = group
# save the event unless its been sampled
if not is_sample:
sid = transaction.savepoint(using=using)
try:
event.save()
except IntegrityError:
transaction.savepoint_rollback(sid, using=using)
return event
transaction.savepoint_commit(sid, using=using)
sid = transaction.savepoint(using=using)
try:
EventMapping.objects.create(
project=project, group=group, event_id=event_id)
except IntegrityError:
transaction.savepoint_rollback(sid, using=using)
return event
transaction.savepoint_commit(sid, using=using)
transaction.commit_unless_managed(using=using)
if not raw:
send_group_processors(
group=group,
event=event,
is_new=is_new,
is_sample=is_sample
)
if getattr(settings, 'SENTRY_INDEX_SEARCH', settings.SENTRY_USE_SEARCH):
index_event.delay(event)
# TODO: move this to the queue
if is_new and not raw:
regression_signal.send_robust(sender=self.model, instance=group)
return event
def save(self, project, raw=False):
project = Project.objects.get_from_cache(id=project)
data = self.data.copy()
# First we pull out our top-level (non-data attr) kwargs
event_id = data.pop('event_id')
message = data.pop('message')
level = data.pop('level')
culprit = data.pop('culprit', None)
time_spent = data.pop('time_spent', None)
logger_name = data.pop('logger', None)
server_name = data.pop('server_name', None)
site = data.pop('site', None)
checksum = data.pop('checksum', None)
fingerprint = data.pop('fingerprint', None)
platform = data.pop('platform', None)
release = data.pop('release', None)
environment = data.pop('environment', None)
if not culprit:
culprit = generate_culprit(data)
date = datetime.fromtimestamp(data.pop('timestamp'))
date = date.replace(tzinfo=timezone.utc)
kwargs = {
'message': message,
'platform': platform,
}
event = Event(project_id=project.id,
event_id=event_id,
data=data,
time_spent=time_spent,
datetime=date,
**kwargs)
tags = data.get('tags') or []
tags.append(('level', LOG_LEVELS[level]))
if logger_name:
tags.append(('logger', logger_name))
if server_name:
tags.append(('server_name', server_name))
if site:
tags.append(('site', site))
if release:
# TODO(dcramer): we should ensure we create Release objects
tags.append(('sentry:release', release))
if environment:
tags.append(('environment', environment))
for plugin in plugins.for_project(project, version=None):
added_tags = safe_execute(plugin.get_tags,
event,
_with_transaction=False)
if added_tags:
tags.extend(added_tags)
event_user = self._get_event_user(project, data)
if event_user:
tags.append(('sentry:user', event_user.tag_value))
# XXX(dcramer): we're relying on mutation of the data object to ensure
# this propagates into Event
data['tags'] = tags
data['fingerprint'] = fingerprint or ['{{ default }}']
# prioritize fingerprint over checksum as its likely the client defaulted
# a checksum whereas the fingerprint was explicit
if fingerprint:
hashes = map(md5_from_hash,
get_hashes_from_fingerprint(event, fingerprint))
elif checksum:
hashes = [checksum]
else:
hashes = map(md5_from_hash, get_hashes_for_event(event))
group_kwargs = kwargs.copy()
group_kwargs.update({
'culprit': culprit,
'logger': logger_name,
'level': level,
'last_seen': date,
'first_seen': date,
'time_spent_total': time_spent or 0,
'time_spent_count': time_spent and 1 or 0,
})
if release:
release = Release.get_or_create(
project=project,
version=release,
date_added=date,
)
group_kwargs['first_release'] = release
group, is_new, is_regression, is_sample = self._save_aggregate(
event=event, hashes=hashes, release=release, **group_kwargs)
event.group = group
# store a reference to the group id to guarantee validation of isolation
event.data.bind_ref(event)
try:
with transaction.atomic(using=router.db_for_write(EventMapping)):
EventMapping.objects.create(project=project,
group=group,
event_id=event_id)
except IntegrityError:
self.logger.info('Duplicate EventMapping found for event_id=%s',
event_id,
exc_info=True)
return event
UserReport.objects.filter(
project=project,
event_id=event_id,
).update(group=group)
# save the event unless its been sampled
if not is_sample:
try:
with transaction.atomic(using=router.db_for_write(Event)):
event.save()
except IntegrityError:
self.logger.info('Duplicate Event found for event_id=%s',
event_id,
exc_info=True)
return event
if event_user:
tsdb.record_multi((
(tsdb.models.users_affected_by_group, group.id,
(event_user.tag_value, )),
(tsdb.models.users_affected_by_project, project.id,
(event_user.tag_value, )),
),
timestamp=event.datetime)
if is_new and release:
buffer.incr(Release, {'new_groups': 1}, {
'id': release.id,
})
safe_execute(Group.objects.add_tags,
group,
tags,
_with_transaction=False)
if not raw:
if not project.first_event:
project.update(first_event=date)
post_process_group.delay(
group=group,
event=event,
is_new=is_new,
is_sample=is_sample,
is_regression=is_regression,
)
else:
self.logger.info(
'Raw event passed; skipping post process for event_id=%s',
event_id)
# TODO: move this to the queue
if is_regression and not raw:
regression_signal.send_robust(sender=Group, instance=group)
return event
def create_event(self, release=None):
event = Event(message='AttributeError', group=self.group)
if release is not None:
event.data['tags'] = [('sentry:release', release)]
event.save()
return event
def save(self, project, raw=False):
from sentry.tasks.post_process import index_event_tags
project = Project.objects.get_from_cache(id=project)
data = self.data.copy()
# First we pull out our top-level (non-data attr) kwargs
event_id = data.pop('event_id')
level = data.pop('level')
culprit = data.pop('culprit', None)
logger_name = data.pop('logger', None)
server_name = data.pop('server_name', None)
site = data.pop('site', None)
checksum = data.pop('checksum', None)
fingerprint = data.pop('fingerprint', None)
platform = data.pop('platform', None)
release = data.pop('release', None)
environment = data.pop('environment', None)
# unused
time_spent = data.pop('time_spent', None)
message = data.pop('message', '')
if not culprit:
# if we generate an implicit culprit, lets not call it a
# transaction
transaction_name = None
culprit = generate_culprit(data, platform=platform)
else:
transaction_name = culprit
date = datetime.fromtimestamp(data.pop('timestamp'))
date = date.replace(tzinfo=timezone.utc)
kwargs = {
'platform': platform,
}
event = Event(
project_id=project.id,
event_id=event_id,
data=data,
time_spent=time_spent,
datetime=date,
**kwargs
)
# convert this to a dict to ensure we're only storing one value per key
# as most parts of Sentry dont currently play well with multiple values
tags = dict(data.get('tags') or [])
tags['level'] = LOG_LEVELS[level]
if logger_name:
tags['logger'] = logger_name
if server_name:
tags['server_name'] = server_name
if site:
tags['site'] = site
if environment:
tags['environment'] = environment
if transaction_name:
tags['transaction'] = transaction_name
if release:
# dont allow a conflicting 'release' tag
if 'release' in tags:
del tags['release']
tags['sentry:release'] = release
event_user = self._get_event_user(project, data)
if event_user:
# dont allow a conflicting 'user' tag
if 'user' in tags:
del tags['user']
tags['sentry:user'] = event_user.tag_value
for plugin in plugins.for_project(project, version=None):
added_tags = safe_execute(plugin.get_tags, event,
_with_transaction=False)
if added_tags:
# plugins should not override user provided tags
for key, value in added_tags:
tags.setdefault(key, value)
# tags are stored as a tuple
tags = tags.items()
# XXX(dcramer): we're relying on mutation of the data object to ensure
# this propagates into Event
data['tags'] = tags
data['fingerprint'] = fingerprint or ['{{ default }}']
for path, iface in six.iteritems(event.interfaces):
data['tags'].extend(iface.iter_tags())
# Get rid of ephemeral interface data
if iface.ephemeral:
data.pop(iface.get_path(), None)
# prioritize fingerprint over checksum as its likely the client defaulted
# a checksum whereas the fingerprint was explicit
if fingerprint:
hashes = [
md5_from_hash(h)
for h in get_hashes_from_fingerprint(event, fingerprint)
]
elif checksum:
hashes = [checksum]
data['checksum'] = checksum
else:
hashes = [
md5_from_hash(h)
for h in get_hashes_for_event(event)
]
# TODO(dcramer): temp workaround for complexity
data['message'] = message
event_type = eventtypes.get(data.get('type', 'default'))(data)
event_metadata = event_type.get_metadata()
# TODO(dcramer): temp workaround for complexity
del data['message']
data['type'] = event_type.key
data['metadata'] = event_metadata
# index components into ``Event.message``
# See GH-3248
if event_type.key != 'default':
if 'sentry.interfaces.Message' in data and \
data['sentry.interfaces.Message']['message'] != message:
message = u'{} {}'.format(
message,
data['sentry.interfaces.Message']['message'],
)
if not message:
message = ''
elif not isinstance(message, six.string_types):
message = force_text(message)
for value in six.itervalues(event_metadata):
value_u = force_text(value, errors='replace')
if value_u not in message:
message = u'{} {}'.format(message, value_u)
if culprit and culprit not in message:
culprit_u = force_text(culprit, errors='replace')
message = u'{} {}'.format(message, culprit_u)
message = trim(message.strip(), settings.SENTRY_MAX_MESSAGE_LENGTH)
event.message = message
kwargs['message'] = message
group_kwargs = kwargs.copy()
group_kwargs.update({
'culprit': culprit,
'logger': logger_name,
'level': level,
'last_seen': date,
'first_seen': date,
'active_at': date,
'data': {
'last_received': event.data.get('received') or float(event.datetime.strftime('%s')),
'type': event_type.key,
# we cache the events metadata on the group to ensure its
# accessible in the stream
'metadata': event_metadata,
},
})
if release:
release = Release.get_or_create(
project=project,
version=release,
date_added=date,
)
group_kwargs['first_release'] = release
group, is_new, is_regression, is_sample = self._save_aggregate(
event=event,
hashes=hashes,
release=release,
**group_kwargs
)
event.group = group
# store a reference to the group id to guarantee validation of isolation
event.data.bind_ref(event)
try:
with transaction.atomic(using=router.db_for_write(EventMapping)):
EventMapping.objects.create(
project=project, group=group, event_id=event_id)
except IntegrityError:
self.logger.info('duplicate.found', extra={'event_id': event.id}, exc_info=True)
return event
environment = Environment.get_or_create(
project=project,
name=environment,
)
if release:
ReleaseEnvironment.get_or_create(
project=project,
release=release,
environment=environment,
datetime=date,
)
grouprelease = GroupRelease.get_or_create(
group=group,
release=release,
environment=environment,
datetime=date,
)
counters = [
(tsdb.models.group, group.id),
(tsdb.models.project, project.id),
]
if release:
counters.append((tsdb.models.release, release.id))
tsdb.incr_multi(counters, timestamp=event.datetime)
frequencies = [
# (tsdb.models.frequent_projects_by_organization, {
# project.organization_id: {
# project.id: 1,
# },
# }),
# (tsdb.models.frequent_issues_by_project, {
# project.id: {
# group.id: 1,
# },
# })
(tsdb.models.frequent_environments_by_group, {
group.id: {
environment.id: 1,
},
})
]
if release:
frequencies.append(
(tsdb.models.frequent_releases_by_group, {
group.id: {
grouprelease.id: 1,
},
})
)
tsdb.record_frequency_multi(frequencies, timestamp=event.datetime)
UserReport.objects.filter(
project=project, event_id=event_id,
).update(group=group)
# save the event unless its been sampled
if not is_sample:
try:
with transaction.atomic(using=router.db_for_write(Event)):
event.save()
except IntegrityError:
self.logger.info('duplicate.found', extra={'event_id': event.id}, exc_info=True)
return event
index_event_tags.delay(
project_id=project.id,
group_id=group.id,
event_id=event.id,
tags=tags,
)
if event_user:
tsdb.record_multi((
(tsdb.models.users_affected_by_group, group.id, (event_user.tag_value,)),
(tsdb.models.users_affected_by_project, project.id, (event_user.tag_value,)),
), timestamp=event.datetime)
if is_new and release:
buffer.incr(Release, {'new_groups': 1}, {
'id': release.id,
})
safe_execute(Group.objects.add_tags, group, tags,
_with_transaction=False)
if not raw:
if not project.first_event:
project.update(first_event=date)
first_event_received.send(project=project, group=group, sender=Project)
post_process_group.delay(
group=group,
event=event,
is_new=is_new,
is_sample=is_sample,
is_regression=is_regression,
)
else:
self.logger.info('post_process.skip.raw_event', extra={'event_id': event.id})
# TODO: move this to the queue
if is_regression and not raw:
regression_signal.send_robust(sender=Group, instance=group)
return event
def save(self, project, raw=False):
from sentry.tasks.post_process import index_event_tags
project = Project.objects.get_from_cache(id=project)
data = self.data.copy()
# First we pull out our top-level (non-data attr) kwargs
event_id = data.pop('event_id')
level = data.pop('level')
culprit = data.pop('transaction', None)
if not culprit:
culprit = data.pop('culprit', None)
logger_name = data.pop('logger', None)
server_name = data.pop('server_name', None)
site = data.pop('site', None)
checksum = data.pop('checksum', None)
fingerprint = data.pop('fingerprint', None)
platform = data.pop('platform', None)
release = data.pop('release', None)
dist = data.pop('dist', None)
environment = data.pop('environment', None)
# unused
time_spent = data.pop('time_spent', None)
message = data.pop('message', '')
if not culprit:
# if we generate an implicit culprit, lets not call it a
# transaction
transaction_name = None
culprit = generate_culprit(data, platform=platform)
else:
transaction_name = culprit
date = datetime.fromtimestamp(data.pop('timestamp'))
date = date.replace(tzinfo=timezone.utc)
kwargs = {
'platform': platform,
}
event = Event(
project_id=project.id,
event_id=event_id,
data=data,
time_spent=time_spent,
datetime=date,
**kwargs
)
event._project_cache = project
# convert this to a dict to ensure we're only storing one value per key
# as most parts of Sentry dont currently play well with multiple values
tags = dict(data.get('tags') or [])
tags['level'] = LOG_LEVELS[level]
if logger_name:
tags['logger'] = logger_name
if server_name:
tags['server_name'] = server_name
if site:
tags['site'] = site
if environment:
tags['environment'] = environment
if transaction_name:
tags['transaction'] = transaction_name
if release:
# dont allow a conflicting 'release' tag
if 'release' in tags:
del tags['release']
release = Release.get_or_create(
project=project,
version=release,
date_added=date,
)
tags['sentry:release'] = release.version
if dist and release:
dist = release.add_dist(dist, date)
tags['sentry:dist'] = dist.name
else:
dist = None
event_user = self._get_event_user(project, data)
if event_user:
# dont allow a conflicting 'user' tag
if 'user' in tags:
del tags['user']
tags['sentry:user'] = event_user.tag_value
# At this point we want to normalize the in_app values in case the
# clients did not set this appropriately so far.
normalize_in_app(data)
for plugin in plugins.for_project(project, version=None):
added_tags = safe_execute(plugin.get_tags, event, _with_transaction=False)
if added_tags:
# plugins should not override user provided tags
for key, value in added_tags:
tags.setdefault(key, value)
# tags are stored as a tuple
tags = tags.items()
# XXX(dcramer): we're relying on mutation of the data object to ensure
# this propagates into Event
data['tags'] = tags
data['fingerprint'] = fingerprint or ['{{ default }}']
for path, iface in six.iteritems(event.interfaces):
data['tags'].extend(iface.iter_tags())
# Get rid of ephemeral interface data
if iface.ephemeral:
data.pop(iface.get_path(), None)
# prioritize fingerprint over checksum as its likely the client defaulted
# a checksum whereas the fingerprint was explicit
if fingerprint:
hashes = [md5_from_hash(h) for h in get_hashes_from_fingerprint(event, fingerprint)]
elif checksum:
hashes = [checksum]
data['checksum'] = checksum
else:
hashes = [md5_from_hash(h) for h in get_hashes_for_event(event)]
# TODO(dcramer): temp workaround for complexity
data['message'] = message
event_type = eventtypes.get(data.get('type', 'default'))(data)
event_metadata = event_type.get_metadata()
# TODO(dcramer): temp workaround for complexity
del data['message']
data['type'] = event_type.key
data['metadata'] = event_metadata
# index components into ``Event.message``
# See GH-3248
if event_type.key != 'default':
if 'sentry.interfaces.Message' in data and \
data['sentry.interfaces.Message']['message'] != message:
message = u'{} {}'.format(
message,
data['sentry.interfaces.Message']['message'],
)
if not message:
message = ''
elif not isinstance(message, six.string_types):
message = force_text(message)
for value in six.itervalues(event_metadata):
value_u = force_text(value, errors='replace')
if value_u not in message:
message = u'{} {}'.format(message, value_u)
if culprit and culprit not in message:
culprit_u = force_text(culprit, errors='replace')
message = u'{} {}'.format(message, culprit_u)
message = trim(message.strip(), settings.SENTRY_MAX_MESSAGE_LENGTH)
event.message = message
kwargs['message'] = message
group_kwargs = kwargs.copy()
group_kwargs.update(
{
'culprit': culprit,
'logger': logger_name,
'level': level,
'last_seen': date,
'first_seen': date,
'active_at': date,
'data': {
'last_received':
event.data.get('received') or float(event.datetime.strftime('%s')),
'type':
event_type.key,
# we cache the events metadata on the group to ensure its
# accessible in the stream
'metadata':
event_metadata,
},
}
)
if release:
group_kwargs['first_release'] = release
group, is_new, is_regression, is_sample = self._save_aggregate(
event=event, hashes=hashes, release=release, **group_kwargs
)
event.group = group
# store a reference to the group id to guarantee validation of isolation
event.data.bind_ref(event)
try:
with transaction.atomic(using=router.db_for_write(EventMapping)):
EventMapping.objects.create(project=project, group=group, event_id=event_id)
except IntegrityError:
self.logger.info(
'duplicate.found',
exc_info=True,
extra={
'event_uuid': event_id,
'project_id': project.id,
'group_id': group.id,
'model': EventMapping.__name__,
}
)
return event
environment = Environment.get_or_create(
project=project,
name=environment,
)
if release:
ReleaseEnvironment.get_or_create(
project=project,
release=release,
environment=environment,
datetime=date,
)
grouprelease = GroupRelease.get_or_create(
group=group,
release=release,
environment=environment,
datetime=date,
)
counters = [
(tsdb.models.group, group.id),
(tsdb.models.project, project.id),
]
if release:
counters.append((tsdb.models.release, release.id))
tsdb.incr_multi(counters, timestamp=event.datetime)
frequencies = [
# (tsdb.models.frequent_projects_by_organization, {
# project.organization_id: {
# project.id: 1,
# },
# }),
# (tsdb.models.frequent_issues_by_project, {
# project.id: {
# group.id: 1,
# },
# })
(tsdb.models.frequent_environments_by_group, {
group.id: {
environment.id: 1,
},
})
]
if release:
frequencies.append(
(tsdb.models.frequent_releases_by_group, {
group.id: {
grouprelease.id: 1,
},
})
)
tsdb.record_frequency_multi(frequencies, timestamp=event.datetime)
UserReport.objects.filter(
project=project,
event_id=event_id,
).update(group=group)
# save the event unless its been sampled
if not is_sample:
try:
with transaction.atomic(using=router.db_for_write(Event)):
event.save()
except IntegrityError:
self.logger.info(
'duplicate.found',
exc_info=True,
extra={
'event_uuid': event_id,
'project_id': project.id,
'group_id': group.id,
'model': Event.__name__,
}
)
return event
index_event_tags.delay(
organization_id=project.organization_id,
project_id=project.id,
group_id=group.id,
event_id=event.id,
tags=tags,
)
if event_user:
tsdb.record_multi(
(
(tsdb.models.users_affected_by_group, group.id, (event_user.tag_value, )),
(tsdb.models.users_affected_by_project, project.id, (event_user.tag_value, )),
),
timestamp=event.datetime
)
if is_new and release:
buffer.incr(
ReleaseProject, {'new_groups': 1}, {
'release_id': release.id,
'project_id': project.id,
}
)
safe_execute(Group.objects.add_tags, group, tags, _with_transaction=False)
if not raw:
if not project.first_event:
project.update(first_event=date)
first_event_received.send(project=project, group=group, sender=Project)
post_process_group.delay(
group=group,
event=event,
is_new=is_new,
is_sample=is_sample,
is_regression=is_regression,
)
else:
self.logger.info('post_process.skip.raw_event', extra={'event_id': event.id})
# TODO: move this to the queue
if is_regression and not raw:
regression_signal.send_robust(sender=Group, instance=group)
return event
def save(self, project, raw=False):
# TODO: culprit should default to "most recent" frame in stacktraces when
# it's not provided.
project = Project.objects.get_from_cache(id=project)
data = self.data.copy()
# First we pull out our top-level (non-data attr) kwargs
event_id = data.pop('event_id')
message = data.pop('message')
level = data.pop('level')
culprit = data.pop('culprit', None) or ''
time_spent = data.pop('time_spent', None)
logger_name = data.pop('logger', None)
server_name = data.pop('server_name', None)
site = data.pop('site', None)
checksum = data.pop('checksum', None)
platform = data.pop('platform', None)
release = data.pop('release', None)
date = datetime.fromtimestamp(data.pop('timestamp'))
date = date.replace(tzinfo=timezone.utc)
kwargs = {
'message': message,
'platform': platform,
}
event = Event(
project=project,
event_id=event_id,
data=data,
time_spent=time_spent,
datetime=date,
**kwargs
)
# Calculate the checksum from the first highest scoring interface
if checksum:
hashes = [checksum]
else:
hashes = get_hashes_for_event(event)
# TODO(dcramer): remove checksum usage
event.checksum = hashes[0]
group_kwargs = kwargs.copy()
group_kwargs.update({
'culprit': culprit,
'logger': logger_name,
'level': level,
'last_seen': date,
'first_seen': date,
'time_spent_total': time_spent or 0,
'time_spent_count': time_spent and 1 or 0,
})
tags = data['tags']
tags.append(('level', LOG_LEVELS[level]))
if logger_name:
tags.append(('logger', logger_name))
if server_name:
tags.append(('server_name', server_name))
if site:
tags.append(('site', site))
if release:
# TODO(dcramer): we should ensure we create Release objects
tags.append(('sentry:release', release))
for plugin in plugins.for_project(project):
added_tags = safe_execute(plugin.get_tags, event)
if added_tags:
tags.extend(added_tags)
result = safe_execute(
self._save_aggregate,
event=event,
tags=tags,
hashes=hashes,
**group_kwargs
)
if result is None:
return
group, is_new, is_regression, is_sample = result
using = group._state.db
event.group = group
# save the event unless its been sampled
if not is_sample:
sid = transaction.savepoint(using=using)
try:
event.save()
except IntegrityError:
transaction.savepoint_rollback(sid, using=using)
return event
transaction.savepoint_commit(sid, using=using)
sid = transaction.savepoint(using=using)
try:
EventMapping.objects.create(
project=project, group=group, event_id=event_id)
except IntegrityError:
transaction.savepoint_rollback(sid, using=using)
return event
transaction.savepoint_commit(sid, using=using)
transaction.commit_unless_managed(using=using)
if not raw:
post_process_group.delay(
group=group,
event=event,
is_new=is_new,
is_sample=is_sample,
is_regression=is_regression,
)
index_event.delay(event)
# TODO: move this to the queue
if is_regression and not raw:
regression_signal.send_robust(sender=Group, instance=group)
return event
def test_event_node_id(self):
# Create an event without specifying node_id. A node_id should be generated
e1 = Event(project_id=1, event_id="abc", data={"foo": "bar"})
e1.save()
e1_node_id = e1.data.id
assert e1.data.id is not None, "We should have generated a node_id for this event"
e1_body = nodestore.get(e1_node_id)
e1.data.save()
e1_body = nodestore.get(e1_node_id)
assert e1_body == {
"foo": "bar"
}, "The event body should be in nodestore"
e1 = Event.objects.get(project_id=1, event_id="abc")
assert e1.data.data == {
"foo": "bar"
}, "The event body should be loaded from nodestore"
assert e1.data.id == e1_node_id, "The event's node_id should be the same after load"
# Create another event that references the same nodestore object as the first event.
e2 = Event(project_id=1, event_id="def", data={"node_id": e1_node_id})
assert e2.data.id == e1_node_id, "The event should use the provided node_id"
e2_body = nodestore.get(e1_node_id)
assert e2_body == {
"foo": "bar"
}, "The event body should be in nodestore already"
e2.save()
e2_body = nodestore.get(e1_node_id)
assert e2_body == {
"foo": "bar"
}, "The event body should not be overwritten by save"
e2 = Event.objects.get(project_id=1, event_id="def")
assert e2.data.data == {
"foo": "bar"
}, "The event body should be loaded from nodestore"
assert e2.data.id == e1_node_id, "The event's node_id should be the same after load"
# Create an event with a new event body that specifies the node_id to use.
e3 = Event(project_id=1,
event_id="ghi",
data={
"baz": "quux",
"node_id": "1:ghi"
})
assert e3.data.id == "1:ghi", "Event should have the specified node_id"
assert e3.data.data == {
"baz": "quux"
}, "Event body should be the one provided (sans node_id)"
e3.save()
e3_body = nodestore.get("1:ghi")
e3.data.save()
e3_body = nodestore.get("1:ghi")
assert e3_body == {
"baz": "quux"
}, "Event body should be saved to nodestore"
e3 = Event.objects.get(project_id=1, event_id="ghi")
assert e3.data.data == {
"baz": "quux"
}, "Event body should be loaded from nodestore"
assert e3.data.id == "1:ghi", "Loaded event should have the correct node_id"
# Try load it again, but using the pickled/compressed string we would expect to find
# in the column
e3_pickled_id = compress(pickle.dumps({"node_id": "1:ghi"}))
e3 = Event(project_id=1, event_id="jkl", data=e3_pickled_id)
assert e3.data.data == {
"baz": "quux"
}, "Event body should be loaded from nodestore"
# Event with no data should not be saved (or loaded) from nodestore
e4 = Event(project_id=1, event_id="mno", data=None)
e4.save()
e4.data.save()
assert nodestore.get(
"1:mno") is None, "We should not have saved anything to nodestore"
e4 = Event.objects.get(project_id=1, event_id="mno")
assert e4.data.id is None
assert e4.data.data == {} # NodeData returns {} by default
e4.bind_node_data()
assert e4.data.id is None
assert e4.data.data == {}
def save(self, project, raw=False):
# TODO: culprit should default to "most recent" frame in stacktraces when
# it's not provided.
project = Project.objects.get_from_cache(id=project)
data = self.data.copy()
# First we pull out our top-level (non-data attr) kwargs
event_id = data.pop('event_id')
message = data.pop('message')
level = data.pop('level')
culprit = data.pop('culprit', None) or ''
time_spent = data.pop('time_spent', None)
logger_name = data.pop('logger', None)
server_name = data.pop('server_name', None)
site = data.pop('site', None)
checksum = data.pop('checksum', None)
fingerprint = data.pop('fingerprint', None)
platform = data.pop('platform', None)
release = data.pop('release', None)
date = datetime.fromtimestamp(data.pop('timestamp'))
date = date.replace(tzinfo=timezone.utc)
kwargs = {
'message': message,
'platform': platform,
}
event = Event(project=project,
event_id=event_id,
data=data,
time_spent=time_spent,
datetime=date,
**kwargs)
tags = data.get('tags') or []
tags.append(('level', LOG_LEVELS[level]))
if logger_name:
tags.append(('logger', logger_name))
if server_name:
tags.append(('server_name', server_name))
if site:
tags.append(('site', site))
if release:
# TODO(dcramer): we should ensure we create Release objects
tags.append(('sentry:release', release))
for plugin in plugins.for_project(project, version=None):
added_tags = safe_execute(plugin.get_tags,
event,
_with_transaction=False)
if added_tags:
tags.extend(added_tags)
# XXX(dcramer): we're relying on mutation of the data object to ensure
# this propagates into Event
data['tags'] = tags
# Calculate the checksum from the first highest scoring interface
if checksum:
hashes = [checksum]
elif fingerprint:
hashes = map(md5_from_hash,
get_hashes_from_fingerprint(event, fingerprint))
else:
hashes = map(md5_from_hash, get_hashes_for_event(event))
group_kwargs = kwargs.copy()
group_kwargs.update({
'culprit': culprit,
'logger': logger_name,
'level': level,
'last_seen': date,
'first_seen': date,
'time_spent_total': time_spent or 0,
'time_spent_count': time_spent and 1 or 0,
})
if release:
release = Release.get_or_create(
project=project,
version=release,
date_added=date,
)
group_kwargs['first_release'] = release
Activity.objects.create(
type=Activity.RELEASE,
project=project,
ident=release,
data={'version': release},
datetime=date,
)
group, is_new, is_regression, is_sample = safe_execute(
self._save_aggregate, event=event, hashes=hashes, **group_kwargs)
using = group._state.db
event.group = group
try:
with transaction.atomic():
EventMapping.objects.create(project=project,
group=group,
event_id=event_id)
except IntegrityError:
self.logger.info('Duplicate EventMapping found for event_id=%s',
event_id)
return event
UserReport.objects.filter(
project=project,
event_id=event_id,
).update(group=group)
# save the event unless its been sampled
if not is_sample:
try:
with transaction.atomic():
event.save()
except IntegrityError:
self.logger.info('Duplicate Event found for event_id=%s',
event_id)
return event
if is_new and release:
buffer.incr(Release, {'new_groups': 1}, {
'id': release.id,
})
safe_execute(Group.objects.add_tags,
group,
tags,
_with_transaction=False)
if not raw:
post_process_group.delay(
group=group,
event=event,
is_new=is_new,
is_sample=is_sample,
is_regression=is_regression,
)
else:
self.logger.info(
'Raw event passed; skipping post process for event_id=%s',
event_id)
index_event.delay(event)
# TODO: move this to the queue
if is_regression and not raw:
regression_signal.send_robust(sender=Group, instance=group)
return event
# TODO: should we mail admins when there are failures?
try:
logger.exception(u'Unable to process log entry: %s' % (exc,))
except Exception, exc:
warnings.warn(u'Unable to process log entry: %s' % (exc,))
return
event.group = group
for view in views:
group.views.add(view)
# save the event unless its been sampled
if not is_sample:
event.save()
# TODO: this should be moved into the processor framework
if is_new and should_mail(group):
regression_signal.send(sender=self.model, instance=group)
group.mail_admins()
return event
def _create_group(self, event, **kwargs):
from sentry.models import FilterValue, STATUS_RESOLVED
date = event.datetime
time_spent = event.time_spent
project = event.project
def test_event_node_id(self):
# Create an event without specifying node_id. A node_id should be generated
e1 = Event(project_id=1, event_id='abc', data={'foo': 'bar'})
e1.save()
e1_node_id = e1.data.id
assert e1.data.id is not None, "We should have generated a node_id for this event"
e1_body = nodestore.get(e1_node_id)
assert e1_body == {
'foo': 'bar'
}, "The event body should be in nodestore"
e1 = Event.objects.get(project_id=1, event_id='abc')
assert e1.data.data == {
'foo': 'bar'
}, "The event body should be loaded from nodestore"
assert e1.data.id == e1_node_id, "The event's node_id should be the same after load"
# Create another event that references the same nodestore object as the first event.
e2 = Event(project_id=1, event_id='def', data={'node_id': e1_node_id})
assert e2.data.id == e1_node_id, "The event should use the provided node_id"
e2_body = nodestore.get(e1_node_id)
assert e2_body == {
'foo': 'bar'
}, "The event body should be in nodestore already"
e2.save()
e2_body = nodestore.get(e1_node_id)
assert e2_body == {
'foo': 'bar'
}, "The event body should not be overwritten by save"
e2 = Event.objects.get(project_id=1, event_id='def')
assert e2.data.data == {
'foo': 'bar'
}, "The event body should be loaded from nodestore"
assert e2.data.id == e1_node_id, "The event's node_id should be the same after load"
# Create an event with a new event body that specifies the node_id to use.
e3 = Event(project_id=1,
event_id='ghi',
data={
'baz': 'quux',
'node_id': '1:ghi'
})
assert e3.data.id == '1:ghi', "Event should have the specified node_id"
assert e3.data.data == {
'baz': 'quux'
}, "Event body should be the one provided (sans node_id)"
e3.save()
e3_body = nodestore.get('1:ghi')
assert e3_body == {
'baz': 'quux'
}, "Event body should be saved to nodestore"
e3 = Event.objects.get(project_id=1, event_id='ghi')
assert e3.data.data == {
'baz': 'quux'
}, "Event body should be loaded from nodestore"
assert e3.data.id == '1:ghi', "Loaded event should have the correct node_id"
# Try load it again, but using the pickled/compressed string we would expect to find
# in the column
e3_pickled_id = compress(pickle.dumps({'node_id': '1:ghi'}))
e3 = Event(project_id=1, event_id='jkl', data=e3_pickled_id)
assert e3.data.data == {
'baz': 'quux'
}, "Event body should be loaded from nodestore"
# Event with no data should not be saved (or loaded) from nodestore
e4 = Event(project_id=1, event_id='mno', data=None)
e4.save()
assert nodestore.get(
'1:mno') is None, "We should not have saved anything to nodestore"
e4 = Event.objects.get(project_id=1, event_id='mno')
assert e4.data.id is None
assert e4.data.data == {} # NodeData returns {} by default
Event.objects.bind_nodes([e4], 'data')
assert e4.data.id is None
assert e4.data.data == {}
def save(self, project, raw=False):
from sentry.tasks.post_process import index_event_tags
data = self.data
project = Project.objects.get_from_cache(id=project)
# Check to make sure we're not about to do a bunch of work that's
# already been done if we've processed an event with this ID. (This
# isn't a perfect solution -- this doesn't handle ``EventMapping`` and
# there's a race condition between here and when the event is actually
# saved, but it's an improvement. See GH-7677.)
try:
event = Event.objects.get(
project_id=project.id,
event_id=data['event_id'],
)
except Event.DoesNotExist:
pass
else:
self.logger.info('duplicate.found',
exc_info=True,
extra={
'event_uuid': data['event_id'],
'project_id': project.id,
'model': Event.__name__,
})
return event
# First we pull out our top-level (non-data attr) kwargs
event_id = data.pop('event_id')
level = data.pop('level')
culprit = data.pop('transaction', None)
if not culprit:
culprit = data.pop('culprit', None)
logger_name = data.pop('logger', None)
server_name = data.pop('server_name', None)
site = data.pop('site', None)
checksum = data.pop('checksum', None)
fingerprint = data.pop('fingerprint', None)
platform = data.pop('platform', None)
release = data.pop('release', None)
dist = data.pop('dist', None)
environment = data.pop('environment', None)
# unused
time_spent = data.pop('time_spent', None)
message = data.pop('message', '')
if not culprit:
# if we generate an implicit culprit, lets not call it a
# transaction
transaction_name = None
culprit = generate_culprit(data, platform=platform)
else:
transaction_name = culprit
culprit = force_text(culprit)
recorded_timestamp = data.pop('timestamp')
date = datetime.fromtimestamp(recorded_timestamp)
date = date.replace(tzinfo=timezone.utc)
kwargs = {
'platform': platform,
}
event = Event(project_id=project.id,
event_id=event_id,
data=data,
time_spent=time_spent,
datetime=date,
**kwargs)
event._project_cache = project
# convert this to a dict to ensure we're only storing one value per key
# as most parts of Sentry dont currently play well with multiple values
tags = dict(data.get('tags') or [])
tags['level'] = LOG_LEVELS[level]
if logger_name:
tags['logger'] = logger_name
if server_name:
tags['server_name'] = server_name
if site:
tags['site'] = site
if environment:
tags['environment'] = environment
if transaction_name:
tags['transaction'] = transaction_name
if release:
# dont allow a conflicting 'release' tag
if 'release' in tags:
del tags['release']
release = Release.get_or_create(
project=project,
version=release,
date_added=date,
)
tags['sentry:release'] = release.version
if dist and release:
dist = release.add_dist(dist, date)
tags['sentry:dist'] = dist.name
else:
dist = None
event_user = self._get_event_user(project, data)
if event_user:
# dont allow a conflicting 'user' tag
if 'user' in tags:
del tags['user']
tags['sentry:user'] = event_user.tag_value
# At this point we want to normalize the in_app values in case the
# clients did not set this appropriately so far.
normalize_in_app(data)
for plugin in plugins.for_project(project, version=None):
added_tags = safe_execute(plugin.get_tags,
event,
_with_transaction=False)
if added_tags:
# plugins should not override user provided tags
for key, value in added_tags:
tags.setdefault(key, value)
for path, iface in six.iteritems(event.interfaces):
for k, v in iface.iter_tags():
tags[k] = v
# Get rid of ephemeral interface data
if iface.ephemeral:
data.pop(iface.get_path(), None)
# tags are stored as a tuple
tags = tags.items()
data['tags'] = tags
data['fingerprint'] = fingerprint or ['{{ default }}']
# prioritize fingerprint over checksum as its likely the client defaulted
# a checksum whereas the fingerprint was explicit
if fingerprint:
hashes = [
md5_from_hash(h)
for h in get_hashes_from_fingerprint(event, fingerprint)
]
elif checksum:
if HASH_RE.match(checksum):
hashes = [checksum]
else:
hashes = [md5_from_hash([checksum]), checksum]
data['checksum'] = checksum
else:
hashes = [md5_from_hash(h) for h in get_hashes_for_event(event)]
# TODO(dcramer): temp workaround for complexity
data['message'] = message
event_type = eventtypes.get(data.get('type', 'default'))(data)
event_metadata = event_type.get_metadata()
# TODO(dcramer): temp workaround for complexity
del data['message']
data['type'] = event_type.key
data['metadata'] = event_metadata
# index components into ``Event.message``
# See GH-3248
if event_type.key != 'default':
if 'sentry.interfaces.Message' in data and \
data['sentry.interfaces.Message']['message'] != message:
message = u'{} {}'.format(
message,
data['sentry.interfaces.Message']['message'],
)
if not message:
message = ''
elif not isinstance(message, six.string_types):
message = force_text(message)
for value in six.itervalues(event_metadata):
value_u = force_text(value, errors='replace')
if value_u not in message:
message = u'{} {}'.format(message, value_u)
if culprit and culprit not in message:
culprit_u = force_text(culprit, errors='replace')
message = u'{} {}'.format(message, culprit_u)
message = trim(message.strip(), settings.SENTRY_MAX_MESSAGE_LENGTH)
event.message = message
kwargs['message'] = message
received_timestamp = event.data.get('received') or float(
event.datetime.strftime('%s'))
group_kwargs = kwargs.copy()
group_kwargs.update({
'culprit': culprit,
'logger': logger_name,
'level': level,
'last_seen': date,
'first_seen': date,
'active_at': date,
'data': {
'last_received': received_timestamp,
'type': event_type.key,
# we cache the events metadata on the group to ensure its
# accessible in the stream
'metadata': event_metadata,
},
})
if release:
group_kwargs['first_release'] = release
try:
group, is_new, is_regression, is_sample = self._save_aggregate(
event=event, hashes=hashes, release=release, **group_kwargs)
except HashDiscarded:
event_discarded.send_robust(
project=project,
sender=EventManager,
)
metrics.incr(
'events.discarded',
skip_internal=True,
tags={
'organization_id': project.organization_id,
'platform': platform,
},
)
raise
else:
event_saved.send_robust(
project=project,
sender=EventManager,
)
event.group = group
# store a reference to the group id to guarantee validation of isolation
event.data.bind_ref(event)
# When an event was sampled, the canonical source of truth
# is the EventMapping table since we aren't going to be writing out an actual
# Event row. Otherwise, if the Event isn't being sampled, we can safely
# rely on the Event table itself as the source of truth and ignore
# EventMapping since it's redundant information.
if is_sample:
try:
with transaction.atomic(
using=router.db_for_write(EventMapping)):
EventMapping.objects.create(project=project,
group=group,
event_id=event_id)
except IntegrityError:
self.logger.info('duplicate.found',
exc_info=True,
extra={
'event_uuid': event_id,
'project_id': project.id,
'group_id': group.id,
'model': EventMapping.__name__,
})
return event
environment = Environment.get_or_create(
project=project,
name=environment,
)
group_environment, is_new_group_environment = GroupEnvironment.get_or_create(
group_id=group.id,
environment_id=environment.id,
defaults={
'first_release_id': release.id if release else None,
},
)
if release:
ReleaseEnvironment.get_or_create(
project=project,
release=release,
environment=environment,
datetime=date,
)
ReleaseProjectEnvironment.get_or_create(
project=project,
release=release,
environment=environment,
datetime=date,
)
grouprelease = GroupRelease.get_or_create(
group=group,
release=release,
environment=environment,
datetime=date,
)
counters = [
(tsdb.models.group, group.id),
(tsdb.models.project, project.id),
]
if release:
counters.append((tsdb.models.release, release.id))
tsdb.incr_multi(counters,
timestamp=event.datetime,
environment_id=environment.id)
frequencies = [
# (tsdb.models.frequent_projects_by_organization, {
# project.organization_id: {
# project.id: 1,
# },
# }),
# (tsdb.models.frequent_issues_by_project, {
# project.id: {
# group.id: 1,
# },
# })
(tsdb.models.frequent_environments_by_group, {
group.id: {
environment.id: 1,
},
})
]
if release:
frequencies.append((tsdb.models.frequent_releases_by_group, {
group.id: {
grouprelease.id: 1,
},
}))
tsdb.record_frequency_multi(frequencies, timestamp=event.datetime)
UserReport.objects.filter(
project=project,
event_id=event_id,
).update(
group=group,
environment=environment,
)
# save the event unless its been sampled
if not is_sample:
try:
with transaction.atomic(using=router.db_for_write(Event)):
event.save()
except IntegrityError:
self.logger.info('duplicate.found',
exc_info=True,
extra={
'event_uuid': event_id,
'project_id': project.id,
'group_id': group.id,
'model': Event.__name__,
})
return event
index_event_tags.delay(
organization_id=project.organization_id,
project_id=project.id,
group_id=group.id,
environment_id=environment.id,
event_id=event.id,
tags=tags,
date_added=event.datetime,
)
if event_user:
tsdb.record_multi(
(
(tsdb.models.users_affected_by_group, group.id,
(event_user.tag_value, )),
(tsdb.models.users_affected_by_project, project.id,
(event_user.tag_value, )),
),
timestamp=event.datetime,
environment_id=environment.id,
)
if release:
if is_new:
buffer.incr(ReleaseProject, {'new_groups': 1}, {
'release_id': release.id,
'project_id': project.id,
})
if is_new_group_environment:
buffer.incr(ReleaseProjectEnvironment, {'new_issues_count': 1},
{
'project_id': project.id,
'release_id': release.id,
'environment_id': environment.id,
})
safe_execute(Group.objects.add_tags,
group,
environment,
tags,
_with_transaction=False)
if not raw:
if not project.first_event:
project.update(first_event=date)
first_event_received.send(project=project,
group=group,
sender=Project)
post_process_group.delay(
group=group,
event=event,
is_new=is_new,
is_sample=is_sample,
is_regression=is_regression,
is_new_group_environment=is_new_group_environment,
primary_hash=hashes[0],
)
else:
self.logger.info('post_process.skip.raw_event',
extra={'event_id': event.id})
metrics.timing(
'events.latency',
received_timestamp - recorded_timestamp,
tags={
'project_id': project.id,
},
)
return event
def save(self, project, raw=False):
from sentry.tasks.post_process import index_event_tags
project = Project.objects.get_from_cache(id=project)
data = self.data.copy()
# First we pull out our top-level (non-data attr) kwargs
event_id = data.pop("event_id")
message = data.pop("message")
level = data.pop("level")
culprit = data.pop("culprit", None)
logger_name = data.pop("logger", None)
server_name = data.pop("server_name", None)
site = data.pop("site", None)
checksum = data.pop("checksum", None)
fingerprint = data.pop("fingerprint", None)
platform = data.pop("platform", None)
release = data.pop("release", None)
environment = data.pop("environment", None)
# unused
time_spent = data.pop("time_spent", None)
if not culprit:
culprit = generate_culprit(data, platform=platform)
date = datetime.fromtimestamp(data.pop("timestamp"))
date = date.replace(tzinfo=timezone.utc)
kwargs = {"message": message, "platform": platform}
event = Event(
project_id=project.id, event_id=event_id, data=data, time_spent=time_spent, datetime=date, **kwargs
)
tags = data.get("tags") or []
tags.append(("level", LOG_LEVELS[level]))
if logger_name:
tags.append(("logger", logger_name))
if server_name:
tags.append(("server_name", server_name))
if site:
tags.append(("site", site))
if release:
# TODO(dcramer): we should ensure we create Release objects
tags.append(("sentry:release", release))
if environment:
tags.append(("environment", environment))
for plugin in plugins.for_project(project, version=None):
added_tags = safe_execute(plugin.get_tags, event, _with_transaction=False)
if added_tags:
tags.extend(added_tags)
event_user = self._get_event_user(project, data)
if event_user:
tags.append(("sentry:user", event_user.tag_value))
# XXX(dcramer): we're relying on mutation of the data object to ensure
# this propagates into Event
data["tags"] = tags
data["fingerprint"] = fingerprint or ["{{ default }}"]
# Get rid of ephemeral interface data
for interface_class, _ in iter_interfaces():
interface = interface_class()
if interface.ephemeral:
data.pop(interface.get_path(), None)
# prioritize fingerprint over checksum as its likely the client defaulted
# a checksum whereas the fingerprint was explicit
if fingerprint:
hashes = map(md5_from_hash, get_hashes_from_fingerprint(event, fingerprint))
elif checksum:
hashes = [checksum]
else:
hashes = map(md5_from_hash, get_hashes_for_event(event))
# TODO(dcramer): temp workaround for complexity
data["message"] = message
event_type = eventtypes.get(data.get("type", "default"))(data)
group_kwargs = kwargs.copy()
group_kwargs.update(
{
"culprit": culprit,
"logger": logger_name,
"level": level,
"last_seen": date,
"first_seen": date,
"data": {
"last_received": event.data.get("received") or float(event.datetime.strftime("%s")),
"type": event_type.key,
# we cache the events metadata on the group to ensure its
# accessible in the stream
"metadata": event_type.get_metadata(),
},
}
)
# TODO(dcramer): temp workaround for complexity
del data["message"]
if release:
release = Release.get_or_create(project=project, version=release, date_added=date)
group_kwargs["first_release"] = release
group, is_new, is_regression, is_sample = self._save_aggregate(
event=event, hashes=hashes, release=release, **group_kwargs
)
event.group = group
# store a reference to the group id to guarantee validation of isolation
event.data.bind_ref(event)
try:
with transaction.atomic(using=router.db_for_write(EventMapping)):
EventMapping.objects.create(project=project, group=group, event_id=event_id)
except IntegrityError:
self.logger.info("Duplicate EventMapping found for event_id=%s", event_id, exc_info=True)
return event
UserReport.objects.filter(project=project, event_id=event_id).update(group=group)
# save the event unless its been sampled
if not is_sample:
try:
with transaction.atomic(using=router.db_for_write(Event)):
event.save()
except IntegrityError:
self.logger.info("Duplicate Event found for event_id=%s", event_id, exc_info=True)
return event
index_event_tags.delay(project_id=project.id, event_id=event.id, tags=tags)
if event_user:
tsdb.record_multi(
(
(tsdb.models.users_affected_by_group, group.id, (event_user.tag_value,)),
(tsdb.models.users_affected_by_project, project.id, (event_user.tag_value,)),
),
timestamp=event.datetime,
)
if is_new and release:
buffer.incr(Release, {"new_groups": 1}, {"id": release.id})
safe_execute(Group.objects.add_tags, group, tags, _with_transaction=False)
if not raw:
if not project.first_event:
project.update(first_event=date)
first_event_received.send(project=project, group=group, sender=Project)
post_process_group.delay(
group=group, event=event, is_new=is_new, is_sample=is_sample, is_regression=is_regression
)
else:
self.logger.info("Raw event passed; skipping post process for event_id=%s", event_id)
# TODO: move this to the queue
if is_regression and not raw:
regression_signal.send_robust(sender=Group, instance=group)
return event
def save(self, project, raw=False):
from sentry.tasks.post_process import index_event_tags
data = self.data
project = Project.objects.get_from_cache(id=project)
# Check to make sure we're not about to do a bunch of work that's
# already been done if we've processed an event with this ID. (This
# isn't a perfect solution -- this doesn't handle ``EventMapping`` and
# there's a race condition between here and when the event is actually
# saved, but it's an improvement. See GH-7677.)
try:
event = Event.objects.get(
project_id=project.id,
event_id=data['event_id'],
)
except Event.DoesNotExist:
pass
else:
self.logger.info(
'duplicate.found',
exc_info=True,
extra={
'event_uuid': data['event_id'],
'project_id': project.id,
'model': Event.__name__,
}
)
return event
# First we pull out our top-level (non-data attr) kwargs
event_id = data.pop('event_id')
level = data.pop('level')
transaction_name = data.pop('transaction', None)
culprit = data.pop('culprit', None)
logger_name = data.pop('logger', None)
server_name = data.pop('server_name', None)
site = data.pop('site', None)
checksum = data.pop('checksum', None)
fingerprint = data.pop('fingerprint', None)
platform = data.pop('platform', None)
release = data.pop('release', None)
dist = data.pop('dist', None)
environment = data.pop('environment', None)
# unused
time_spent = data.pop('time_spent', None)
message = data.pop('message', '')
if not culprit:
if transaction_name:
culprit = transaction_name
else:
culprit = generate_culprit(data, platform=platform)
culprit = force_text(culprit)
if transaction_name:
transaction_name = force_text(transaction_name)
recorded_timestamp = data.pop('timestamp')
date = datetime.fromtimestamp(recorded_timestamp)
date = date.replace(tzinfo=timezone.utc)
kwargs = {
'platform': platform,
}
event = Event(
project_id=project.id,
event_id=event_id,
data=data,
time_spent=time_spent,
datetime=date,
**kwargs
)
event._project_cache = project
data = event.data.data
# convert this to a dict to ensure we're only storing one value per key
# as most parts of Sentry dont currently play well with multiple values
tags = dict(data.get('tags') or [])
tags['level'] = LOG_LEVELS[level]
if logger_name:
tags['logger'] = logger_name
if server_name:
tags['server_name'] = server_name
if site:
tags['site'] = site
if environment:
tags['environment'] = environment
if transaction_name:
tags['transaction'] = transaction_name
if release:
# dont allow a conflicting 'release' tag
if 'release' in tags:
del tags['release']
release = Release.get_or_create(
project=project,
version=release,
date_added=date,
)
tags['sentry:release'] = release.version
if dist and release:
dist = release.add_dist(dist, date)
tags['sentry:dist'] = dist.name
else:
dist = None
event_user = self._get_event_user(project, data)
if event_user:
# dont allow a conflicting 'user' tag
if 'user' in tags:
del tags['user']
tags['sentry:user'] = event_user.tag_value
# At this point we want to normalize the in_app values in case the
# clients did not set this appropriately so far.
normalize_in_app(data)
for plugin in plugins.for_project(project, version=None):
added_tags = safe_execute(plugin.get_tags, event, _with_transaction=False)
if added_tags:
# plugins should not override user provided tags
for key, value in added_tags:
tags.setdefault(key, value)
for path, iface in six.iteritems(event.interfaces):
for k, v in iface.iter_tags():
tags[k] = v
# Get rid of ephemeral interface data
if iface.ephemeral:
data.pop(iface.get_path(), None)
# tags are stored as a tuple
tags = tags.items()
data['tags'] = tags
data['fingerprint'] = fingerprint or ['{{ default }}']
# prioritize fingerprint over checksum as its likely the client defaulted
# a checksum whereas the fingerprint was explicit
if fingerprint:
hashes = [md5_from_hash(h) for h in get_hashes_from_fingerprint(event, fingerprint)]
elif checksum:
if HASH_RE.match(checksum):
hashes = [checksum]
else:
hashes = [md5_from_hash([checksum]), checksum]
data['checksum'] = checksum
else:
hashes = [md5_from_hash(h) for h in get_hashes_for_event(event)]
# TODO(dcramer): temp workaround for complexity
data['message'] = message
event_type = eventtypes.get(data.get('type', 'default'))(data)
event_metadata = event_type.get_metadata()
# TODO(dcramer): temp workaround for complexity
del data['message']
data['type'] = event_type.key
data['metadata'] = event_metadata
# index components into ``Event.message``
# See GH-3248
if event_type.key != 'default':
if 'sentry.interfaces.Message' in data and \
data['sentry.interfaces.Message']['message'] != message:
message = u'{} {}'.format(
message,
data['sentry.interfaces.Message']['message'],
)
if not message:
message = ''
elif not isinstance(message, six.string_types):
message = force_text(message)
for value in six.itervalues(event_metadata):
value_u = force_text(value, errors='replace')
if value_u not in message:
message = u'{} {}'.format(message, value_u)
if culprit and culprit not in message:
culprit_u = force_text(culprit, errors='replace')
message = u'{} {}'.format(message, culprit_u)
message = trim(message.strip(), settings.SENTRY_MAX_MESSAGE_LENGTH)
event.message = message
kwargs['message'] = message
received_timestamp = event.data.get('received') or float(event.datetime.strftime('%s'))
group_kwargs = kwargs.copy()
group_kwargs.update(
{
'culprit': culprit,
'logger': logger_name,
'level': level,
'last_seen': date,
'first_seen': date,
'active_at': date,
'data': {
'last_received': received_timestamp,
'type':
event_type.key,
# we cache the events metadata on the group to ensure its
# accessible in the stream
'metadata':
event_metadata,
},
}
)
if release:
group_kwargs['first_release'] = release
try:
group, is_new, is_regression, is_sample = self._save_aggregate(
event=event, hashes=hashes, release=release, **group_kwargs
)
except HashDiscarded:
event_discarded.send_robust(
project=project,
sender=EventManager,
)
metrics.incr(
'events.discarded',
skip_internal=True,
tags={
'organization_id': project.organization_id,
'platform': platform,
},
)
raise
else:
event_saved.send_robust(
project=project,
event_size=event.size,
sender=EventManager,
)
event.group = group
# store a reference to the group id to guarantee validation of isolation
event.data.bind_ref(event)
# When an event was sampled, the canonical source of truth
# is the EventMapping table since we aren't going to be writing out an actual
# Event row. Otherwise, if the Event isn't being sampled, we can safely
# rely on the Event table itself as the source of truth and ignore
# EventMapping since it's redundant information.
if is_sample:
try:
with transaction.atomic(using=router.db_for_write(EventMapping)):
EventMapping.objects.create(project=project, group=group, event_id=event_id)
except IntegrityError:
self.logger.info(
'duplicate.found',
exc_info=True,
extra={
'event_uuid': event_id,
'project_id': project.id,
'group_id': group.id,
'model': EventMapping.__name__,
}
)
return event
environment = Environment.get_or_create(
project=project,
name=environment,
)
group_environment, is_new_group_environment = GroupEnvironment.get_or_create(
group_id=group.id,
environment_id=environment.id,
defaults={
'first_release_id': release.id if release else None,
},
)
if release:
ReleaseEnvironment.get_or_create(
project=project,
release=release,
environment=environment,
datetime=date,
)
ReleaseProjectEnvironment.get_or_create(
project=project,
release=release,
environment=environment,
datetime=date,
)
grouprelease = GroupRelease.get_or_create(
group=group,
release=release,
environment=environment,
datetime=date,
)
counters = [
(tsdb.models.group, group.id),
(tsdb.models.project, project.id),
]
if release:
counters.append((tsdb.models.release, release.id))
tsdb.incr_multi(counters, timestamp=event.datetime, environment_id=environment.id)
frequencies = [
# (tsdb.models.frequent_projects_by_organization, {
# project.organization_id: {
# project.id: 1,
# },
# }),
# (tsdb.models.frequent_issues_by_project, {
# project.id: {
# group.id: 1,
# },
# })
(tsdb.models.frequent_environments_by_group, {
group.id: {
environment.id: 1,
},
})
]
if release:
frequencies.append(
(tsdb.models.frequent_releases_by_group, {
group.id: {
grouprelease.id: 1,
},
})
)
tsdb.record_frequency_multi(frequencies, timestamp=event.datetime)
UserReport.objects.filter(
project=project,
event_id=event_id,
).update(
group=group,
environment=environment,
)
# save the event unless its been sampled
if not is_sample:
try:
with transaction.atomic(using=router.db_for_write(Event)):
event.save()
except IntegrityError:
self.logger.info(
'duplicate.found',
exc_info=True,
extra={
'event_uuid': event_id,
'project_id': project.id,
'group_id': group.id,
'model': Event.__name__,
}
)
return event
index_event_tags.delay(
organization_id=project.organization_id,
project_id=project.id,
group_id=group.id,
environment_id=environment.id,
event_id=event.id,
tags=tags,
date_added=event.datetime,
)
if event_user:
tsdb.record_multi(
(
(tsdb.models.users_affected_by_group, group.id, (event_user.tag_value, )),
(tsdb.models.users_affected_by_project, project.id, (event_user.tag_value, )),
),
timestamp=event.datetime,
environment_id=environment.id,
)
if release:
if is_new:
buffer.incr(
ReleaseProject, {'new_groups': 1}, {
'release_id': release.id,
'project_id': project.id,
}
)
if is_new_group_environment:
buffer.incr(
ReleaseProjectEnvironment, {'new_issues_count': 1}, {
'project_id': project.id,
'release_id': release.id,
'environment_id': environment.id,
}
)
safe_execute(Group.objects.add_tags, group, environment, tags, _with_transaction=False)
if not raw:
if not project.first_event:
project.update(first_event=date)
first_event_received.send_robust(project=project, group=group, sender=Project)
eventstream.insert(
group=group,
event=event,
is_new=is_new,
is_sample=is_sample,
is_regression=is_regression,
is_new_group_environment=is_new_group_environment,
primary_hash=hashes[0],
# We are choosing to skip consuming the event back
# in the eventstream if it's flagged as raw.
# This means that we want to publish the event
# through the event stream, but we don't care
# about post processing and handling the commit.
skip_consume=raw,
)
metrics.timing(
'events.latency',
received_timestamp - recorded_timestamp,
tags={
'project_id': project.id,
},
)
return event
def save(self, project, raw=False):
# TODO: culprit should default to "most recent" frame in stacktraces when
# it's not provided.
project = Project.objects.get_from_cache(id=project)
data = self.data.copy()
# First we pull out our top-level (non-data attr) kwargs
event_id = data.pop('event_id')
message = data.pop('message')
level = data.pop('level')
culprit = data.pop('culprit', None) or ''
time_spent = data.pop('time_spent', None)
logger_name = data.pop('logger', None)
server_name = data.pop('server_name', None)
site = data.pop('site', None)
checksum = data.pop('checksum', None)
platform = data.pop('platform', None)
release = data.pop('release', None)
date = datetime.fromtimestamp(data.pop('timestamp'))
date = date.replace(tzinfo=timezone.utc)
kwargs = {
'message': message,
'platform': platform,
}
event = Event(
project=project,
event_id=event_id,
data=data,
time_spent=time_spent,
datetime=date,
**kwargs
)
tags = data.get('tags') or []
tags.append(('level', LOG_LEVELS[level]))
if logger_name:
tags.append(('logger', logger_name))
if server_name:
tags.append(('server_name', server_name))
if site:
tags.append(('site', site))
if release:
# TODO(dcramer): we should ensure we create Release objects
tags.append(('sentry:release', release))
for plugin in plugins.for_project(project, version=None):
added_tags = safe_execute(plugin.get_tags, event,
_with_transaction=False)
if added_tags:
tags.extend(added_tags)
# XXX(dcramer): we're relying on mutation of the data object to ensure
# this propagates into Event
data['tags'] = tags
# Calculate the checksum from the first highest scoring interface
if checksum:
hashes = [checksum]
else:
hashes = get_hashes_for_event(event)
group_kwargs = kwargs.copy()
group_kwargs.update({
'culprit': culprit,
'logger': logger_name,
'level': level,
'last_seen': date,
'first_seen': date,
'time_spent_total': time_spent or 0,
'time_spent_count': time_spent and 1 or 0,
})
if release:
group_kwargs['first_release'] = Release.get_or_create(
project=project,
version=release,
date_added=date,
)
Activity.objects.create(
type=Activity.RELEASE,
project=project,
ident=release,
data={'version': release},
datetime=date,
)
group, is_new, is_regression, is_sample = safe_execute(
self._save_aggregate,
event=event,
hashes=hashes,
**group_kwargs
)
using = group._state.db
event.group = group
try:
with transaction.atomic():
EventMapping.objects.create(
project=project, group=group, event_id=event_id)
except IntegrityError:
self.logger.info('Duplicate EventMapping found for event_id=%s', event_id)
return event
UserReport.objects.filter(
project=project, event_id=event_id,
).update(group=group)
# save the event unless its been sampled
if not is_sample:
try:
with transaction.atomic():
event.save()
except IntegrityError:
self.logger.info('Duplicate Event found for event_id=%s', event_id)
return event
safe_execute(Group.objects.add_tags, group, tags,
_with_transaction=False)
if not raw:
post_process_group.delay(
group=group,
event=event,
is_new=is_new,
is_sample=is_sample,
is_regression=is_regression,
)
else:
self.logger.info('Raw event passed; skipping post process for event_id=%s', event_id)
index_event.delay(event)
# TODO: move this to the queue
if is_regression and not raw:
regression_signal.send_robust(sender=Group, instance=group)
return event
def save(self, project, raw=False):
from sentry.tasks.post_process import index_event_tags
project = Project.objects.get_from_cache(id=project)
data = self.data.copy()
# First we pull out our top-level (non-data attr) kwargs
event_id = data.pop('event_id')
level = data.pop('level')
culprit = data.pop('culprit', None)
logger_name = data.pop('logger', None)
server_name = data.pop('server_name', None)
site = data.pop('site', None)
checksum = data.pop('checksum', None)
fingerprint = data.pop('fingerprint', None)
platform = data.pop('platform', None)
release = data.pop('release', None)
environment = data.pop('environment', None)
# unused
time_spent = data.pop('time_spent', None)
message = data.pop('message', '')
if not culprit:
culprit = generate_culprit(data, platform=platform)
date = datetime.fromtimestamp(data.pop('timestamp'))
date = date.replace(tzinfo=timezone.utc)
kwargs = {
'platform': platform,
}
event = Event(
project_id=project.id,
event_id=event_id,
data=data,
time_spent=time_spent,
datetime=date,
**kwargs
)
tags = data.get('tags') or []
tags.append(('level', LOG_LEVELS[level]))
if logger_name:
tags.append(('logger', logger_name))
if server_name:
tags.append(('server_name', server_name))
if site:
tags.append(('site', site))
if release:
# TODO(dcramer): we should ensure we create Release objects
tags.append(('sentry:release', release))
if environment:
tags.append(('environment', environment))
for plugin in plugins.for_project(project, version=None):
added_tags = safe_execute(plugin.get_tags, event,
_with_transaction=False)
if added_tags:
tags.extend(added_tags)
event_user = self._get_event_user(project, data)
if event_user:
tags.append(('sentry:user', event_user.tag_value))
# XXX(dcramer): we're relying on mutation of the data object to ensure
# this propagates into Event
data['tags'] = tags
data['fingerprint'] = fingerprint or ['{{ default }}']
for path, iface in event.interfaces.iteritems():
data['tags'].extend(iface.iter_tags())
# Get rid of ephemeral interface data
if iface.ephemeral:
data.pop(iface.get_path(), None)
# prioritize fingerprint over checksum as its likely the client defaulted
# a checksum whereas the fingerprint was explicit
if fingerprint:
hashes = map(md5_from_hash, get_hashes_from_fingerprint(event, fingerprint))
elif checksum:
hashes = [checksum]
else:
hashes = map(md5_from_hash, get_hashes_for_event(event))
# TODO(dcramer): temp workaround for complexity
data['message'] = message
event_type = eventtypes.get(data.get('type', 'default'))(data)
event_metadata = event_type.get_metadata()
# TODO(dcramer): temp workaround for complexity
del data['message']
data['type'] = event_type.key
data['metadata'] = event_metadata
# index components into ``Event.message``
# See GH-3248
if event_type.key != 'default':
if 'sentry.interfaces.Message' in data and \
data['sentry.interfaces.Message']['message'] != message:
message = u'{} {}'.format(
message,
data['sentry.interfaces.Message']['message'],
)
if not message:
message = ''
elif not isinstance(message, basestring):
message = force_text(message)
for value in event_metadata.itervalues():
value_u = force_text(value, errors='replace')
if value_u not in message:
message = u'{} {}'.format(message, value_u)
message = trim(message.strip(), settings.SENTRY_MAX_MESSAGE_LENGTH)
event.message = message
kwargs['message'] = message
group_kwargs = kwargs.copy()
group_kwargs.update({
'culprit': culprit,
'logger': logger_name,
'level': level,
'last_seen': date,
'first_seen': date,
'data': {
'last_received': event.data.get('received') or float(event.datetime.strftime('%s')),
'type': event_type.key,
# we cache the events metadata on the group to ensure its
# accessible in the stream
'metadata': event_metadata,
},
})
if release:
release = Release.get_or_create(
project=project,
version=release,
date_added=date,
)
group_kwargs['first_release'] = release
group, is_new, is_regression, is_sample = self._save_aggregate(
event=event,
hashes=hashes,
release=release,
**group_kwargs
)
event.group = group
# store a reference to the group id to guarantee validation of isolation
event.data.bind_ref(event)
try:
with transaction.atomic(using=router.db_for_write(EventMapping)):
EventMapping.objects.create(
project=project, group=group, event_id=event_id)
except IntegrityError:
self.logger.info('Duplicate EventMapping found for event_id=%s', event_id,
exc_info=True)
return event
if release:
grouprelease = GroupRelease.get_or_create(
group=group,
release=release,
environment=environment,
datetime=date,
)
tsdb.incr_multi([
(tsdb.models.group, group.id),
(tsdb.models.project, project.id),
], timestamp=event.datetime)
frequencies = [
(tsdb.models.frequent_projects_by_organization, {
project.organization_id: {
project.id: 1,
},
}),
(tsdb.models.frequent_issues_by_project, {
project.id: {
group.id: 1,
},
})
]
if release:
frequencies.append(
(tsdb.models.frequent_releases_by_groups, {
group.id: {
grouprelease.id: 1,
},
})
)
tsdb.record_frequency_multi(frequencies, timestamp=event.datetime)
UserReport.objects.filter(
project=project, event_id=event_id,
).update(group=group)
# save the event unless its been sampled
if not is_sample:
try:
with transaction.atomic(using=router.db_for_write(Event)):
event.save()
except IntegrityError:
self.logger.info('Duplicate Event found for event_id=%s', event_id,
exc_info=True)
return event
index_event_tags.delay(
project_id=project.id,
group_id=group.id,
event_id=event.id,
tags=tags,
)
if event_user:
tsdb.record_multi((
(tsdb.models.users_affected_by_group, group.id, (event_user.tag_value,)),
(tsdb.models.users_affected_by_project, project.id, (event_user.tag_value,)),
), timestamp=event.datetime)
if is_new and release:
buffer.incr(Release, {'new_groups': 1}, {
'id': release.id,
})
safe_execute(Group.objects.add_tags, group, tags,
_with_transaction=False)
if not raw:
if not project.first_event:
project.update(first_event=date)
first_event_received.send(project=project, group=group, sender=Project)
post_process_group.delay(
group=group,
event=event,
is_new=is_new,
is_sample=is_sample,
is_regression=is_regression,
)
else:
self.logger.info('Raw event passed; skipping post process for event_id=%s', event_id)
# TODO: move this to the queue
if is_regression and not raw:
regression_signal.send_robust(sender=Group, instance=group)
return event
def save_data(self, project, data, raw=False):
# TODO: this function is way too damn long and needs refactored
# the inner imports also suck so let's try to move it away from
# the objects manager
# TODO: culprit should default to "most recent" frame in stacktraces when
# it's not provided.
from sentry.plugins import plugins
from sentry.models import Event, Project, EventMapping
project = Project.objects.get_from_cache(id=project)
# First we pull out our top-level (non-data attr) kwargs
event_id = data.pop('event_id')
message = data.pop('message')
culprit = data.pop('culprit') or ''
level = data.pop('level')
time_spent = data.pop('time_spent')
logger_name = data.pop('logger')
server_name = data.pop('server_name')
site = data.pop('site')
checksum = data.pop('checksum')
platform = data.pop('platform')
date = datetime.fromtimestamp(data.pop('timestamp'))
date = date.replace(tzinfo=timezone.utc)
kwargs = {
'message': message,
'platform': platform,
}
event = Event(project=project,
event_id=event_id,
data=data,
time_spent=time_spent,
datetime=date,
**kwargs)
# Calculate the checksum from the first highest scoring interface
if not checksum:
checksum = get_checksum_from_event(event)
event.checksum = checksum
group_kwargs = kwargs.copy()
group_kwargs.update({
'culprit': culprit,
'logger': logger_name,
'level': level,
'last_seen': date,
'first_seen': date,
'time_spent_total': time_spent or 0,
'time_spent_count': time_spent and 1 or 0,
})
tags = data['tags']
tags.append(('level', LOG_LEVELS[level]))
if logger:
tags.append(('logger', logger_name))
if server_name:
tags.append(('server_name', server_name))
if site:
tags.append(('site', site))
for plugin in plugins.for_project(project):
added_tags = safe_execute(plugin.get_tags, event)
if added_tags:
tags.extend(added_tags)
try:
group, is_new, is_regression, is_sample = self._create_group(
event=event, tags=data['tags'], **group_kwargs)
except Exception as exc:
# TODO: should we mail admins when there are failures?
try:
logger.exception(u'Unable to process log entry: %s', exc)
except Exception as exc:
warnings.warn(u'Unable to process log entry: %s', exc)
return
using = group._state.db
event.group = group
# save the event unless its been sampled
if not is_sample:
sid = transaction.savepoint(using=using)
try:
event.save()
except IntegrityError:
transaction.savepoint_rollback(sid, using=using)
return event
transaction.savepoint_commit(sid, using=using)
sid = transaction.savepoint(using=using)
try:
EventMapping.objects.create(project=project,
group=group,
event_id=event_id)
except IntegrityError:
transaction.savepoint_rollback(sid, using=using)
return event
transaction.savepoint_commit(sid, using=using)
transaction.commit_unless_managed(using=using)
if not raw:
send_group_processors(
group=group,
event=event,
is_new=is_new or is_regression, # backwards compat
is_sample=is_sample,
is_regression=is_regression,
)
index_event.delay(event)
# TODO: move this to the queue
if is_new and not raw:
regression_signal.send_robust(sender=self.model, instance=group)
return event
try:
logger.exception(u'Unable to process log entry: %s' % (exc,))
except Exception, exc:
warnings.warn(u'Unable to process log entry: %s' % (exc,))
return
event.group = group
for view in views:
group.views.add(view)
# save the event unless its been sampled
if not is_sample:
try:
event.save()
except IntegrityError:
transaction.rollback_unless_managed(using=group._state.db)
return event
transaction.commit_unless_managed(using=group._state.db)
if settings.USE_SEARCH:
try:
maybe_delay(index_event, event)
except Exception, e:
transaction.rollback_unless_managed(using=group._state.db)
logger.exception(u'Error indexing document: %s', e)
if is_new:
try:
def save(self, project, raw=False):
from sentry.tasks.post_process import index_event_tags
project = Project.objects.get_from_cache(id=project)
data = self.data.copy()
# First we pull out our top-level (non-data attr) kwargs
event_id = data.pop('event_id')
level = data.pop('level')
culprit = data.pop('culprit', None)
logger_name = data.pop('logger', None)
server_name = data.pop('server_name', None)
site = data.pop('site', None)
checksum = data.pop('checksum', None)
fingerprint = data.pop('fingerprint', None)
platform = data.pop('platform', None)
release = data.pop('release', None)
environment = data.pop('environment', None)
# unused
time_spent = data.pop('time_spent', None)
message = data.pop('message', '')
if not culprit:
culprit = generate_culprit(data, platform=platform)
date = datetime.fromtimestamp(data.pop('timestamp'))
date = date.replace(tzinfo=timezone.utc)
kwargs = {
'platform': platform,
}
event = Event(project_id=project.id,
event_id=event_id,
data=data,
time_spent=time_spent,
datetime=date,
**kwargs)
tags = data.get('tags') or []
tags.append(('level', LOG_LEVELS[level]))
if logger_name:
tags.append(('logger', logger_name))
if server_name:
tags.append(('server_name', server_name))
if site:
tags.append(('site', site))
if release:
# TODO(dcramer): we should ensure we create Release objects
tags.append(('sentry:release', release))
if environment:
tags.append(('environment', environment))
for plugin in plugins.for_project(project, version=None):
added_tags = safe_execute(plugin.get_tags,
event,
_with_transaction=False)
if added_tags:
tags.extend(added_tags)
event_user = self._get_event_user(project, data)
if event_user:
tags.append(('sentry:user', event_user.tag_value))
# XXX(dcramer): we're relying on mutation of the data object to ensure
# this propagates into Event
data['tags'] = tags
data['fingerprint'] = fingerprint or ['{{ default }}']
# Get rid of ephemeral interface data
for interface_class, _ in iter_interfaces():
interface = interface_class()
if interface.ephemeral:
data.pop(interface.get_path(), None)
# prioritize fingerprint over checksum as its likely the client defaulted
# a checksum whereas the fingerprint was explicit
if fingerprint:
hashes = map(md5_from_hash,
get_hashes_from_fingerprint(event, fingerprint))
elif checksum:
hashes = [checksum]
else:
hashes = map(md5_from_hash, get_hashes_for_event(event))
# TODO(dcramer): temp workaround for complexity
data['message'] = message
event_type = eventtypes.get(data.get('type', 'default'))(data)
event_metadata = event_type.get_metadata()
# TODO(dcramer): temp workaround for complexity
del data['message']
data['type'] = event_type.key
data['metadata'] = event_metadata
# index components into ``Event.message``
# See GH-3248
if event_type.key != 'default':
if 'sentry.interfaces.Message' in data and \
data['sentry.interfaces.Message']['message'] != message:
message = u'{} {}'.format(
message,
data['sentry.interfaces.Message']['message'],
)
if not message:
message = ''
elif not isinstance(message, basestring):
message = force_text(message)
for value in event_metadata.itervalues():
value_u = force_text(value, errors='replace')
if value_u not in message:
message = u'{} {}'.format(message, value_u)
message = trim(message.strip(), settings.SENTRY_MAX_MESSAGE_LENGTH)
event.message = message
kwargs['message'] = message
group_kwargs = kwargs.copy()
group_kwargs.update({
'culprit': culprit,
'logger': logger_name,
'level': level,
'last_seen': date,
'first_seen': date,
'data': {
'last_received':
event.data.get('received')
or float(event.datetime.strftime('%s')),
'type':
event_type.key,
# we cache the events metadata on the group to ensure its
# accessible in the stream
'metadata':
event_metadata,
},
})
if release:
release = Release.get_or_create(
project=project,
version=release,
date_added=date,
)
group_kwargs['first_release'] = release
group, is_new, is_regression, is_sample = self._save_aggregate(
event=event, hashes=hashes, release=release, **group_kwargs)
event.group = group
# store a reference to the group id to guarantee validation of isolation
event.data.bind_ref(event)
try:
with transaction.atomic(using=router.db_for_write(EventMapping)):
EventMapping.objects.create(project=project,
group=group,
event_id=event_id)
except IntegrityError:
self.logger.info('Duplicate EventMapping found for event_id=%s',
event_id,
exc_info=True)
return event
UserReport.objects.filter(
project=project,
event_id=event_id,
).update(group=group)
# save the event unless its been sampled
if not is_sample:
try:
with transaction.atomic(using=router.db_for_write(Event)):
event.save()
except IntegrityError:
self.logger.info('Duplicate Event found for event_id=%s',
event_id,
exc_info=True)
return event
index_event_tags.delay(
project_id=project.id,
group_id=group.id,
event_id=event.id,
tags=tags,
)
if event_user:
tsdb.record_multi((
(tsdb.models.users_affected_by_group, group.id,
(event_user.tag_value, )),
(tsdb.models.users_affected_by_project, project.id,
(event_user.tag_value, )),
),
timestamp=event.datetime)
if is_new and release:
buffer.incr(Release, {'new_groups': 1}, {
'id': release.id,
})
safe_execute(Group.objects.add_tags,
group,
tags,
_with_transaction=False)
if not raw:
if not project.first_event:
project.update(first_event=date)
first_event_received.send(project=project,
group=group,
sender=Project)
post_process_group.delay(
group=group,
event=event,
is_new=is_new,
is_sample=is_sample,
is_regression=is_regression,
)
else:
self.logger.info(
'Raw event passed; skipping post process for event_id=%s',
event_id)
# TODO: move this to the queue
if is_regression and not raw:
regression_signal.send_robust(sender=Group, instance=group)
return event