def reprocess_minidump(data):
project = Project.objects.get_from_cache(id=data['project'])
minidump_is_reprocessed_cache_key = minidump_reprocessed_cache_key_for_event(
data)
if default_cache.get(minidump_is_reprocessed_cache_key):
return
minidump = get_attached_minidump(data)
if not minidump:
logger.error("Missing minidump for minidump event")
return
request_id_cache_key = request_id_cache_key_for_event(data)
response = run_symbolicator(project=project,
request_id_cache_key=request_id_cache_key,
create_task=create_minidump_task,
minidump=make_buffered_slice_reader(
minidump.data, None))
if handle_symbolicator_response_status(data, response):
merge_symbolicator_minidump_response(data, response)
event_cache_key = cache_key_for_event(data)
default_cache.set(event_cache_key, dict(data), 3600)
default_cache.set(minidump_is_reprocessed_cache_key, True, 3600)
return data
def reprocess_minidump(data):
project = Project.objects.get_from_cache(id=data['project'])
minidump_is_reprocessed_cache_key = minidump_reprocessed_cache_key_for_event(data)
if default_cache.get(minidump_is_reprocessed_cache_key):
return
if not _is_symbolicator_enabled(project, data):
rv = reprocess_minidump_with_cfi(data)
default_cache.set(minidump_is_reprocessed_cache_key, True, 3600)
return rv
minidump = get_attached_minidump(data)
if not minidump:
logger.error("Missing minidump for minidump event")
return
request_id_cache_key = request_id_cache_key_for_event(data)
response = run_symbolicator(
project=project,
request_id_cache_key=request_id_cache_key,
create_task=create_minidump_task,
minidump=make_buffered_slice_reader(minidump.data, None)
)
if handle_symbolicator_response_status(data, response):
merge_symbolicator_minidump_response(data, response)
event_cache_key = cache_key_for_event(data)
default_cache.set(event_cache_key, dict(data), 3600)
default_cache.set(minidump_is_reprocessed_cache_key, True, 3600)
return data
def reprocess_minidump(data):
project = Project.objects.get_from_cache(id=data['project'])
minidump_is_reprocessed_cache_key = minidump_reprocessed_cache_key_for_event(
data)
if default_cache.get(minidump_is_reprocessed_cache_key):
return
if not _is_symbolicator_enabled(project, data):
rv = reprocess_minidump_with_cfi(data)
default_cache.set(minidump_is_reprocessed_cache_key, True, 3600)
return rv
minidump = get_attached_minidump(data)
if not minidump:
logger.error("Missing minidump for minidump event")
return
request_id_cache_key = request_id_cache_key_for_event(data)
response = run_symbolicator(project=project,
request_id_cache_key=request_id_cache_key,
create_task=create_minidump_task,
minidump=make_buffered_slice_reader(
minidump.data, None))
if not response:
handle_symbolication_failed(
SymbolicationFailed(type=EventError.NATIVE_SYMBOLICATOR_FAILED),
data=data,
)
default_cache.set(minidump_is_reprocessed_cache_key, True, 3600)
return
merge_symbolicator_minidump_response(data, response)
event_cache_key = cache_key_for_event(data)
default_cache.set(event_cache_key, dict(data), 3600)
default_cache.set(minidump_is_reprocessed_cache_key, True, 3600)
return data
def run_symbolicator(self, processing_task):
# TODO(markus): Make this work with minidumps. An unprocessed minidump
# event will not contain unsymbolicated frames, because the minidump
# upload already happened in store.
# It will also presumably not contain images, so `self.available` will
# already be `False`.
if not self.available:
return
request_id_cache_key = request_id_cache_key_for_event(self.data)
stacktraces = []
processable_stacktraces = []
has_frames = False
for stacktrace_info, pf_list in processing_task.iter_processable_stacktraces(
):
registers = stacktrace_info.stacktrace.get('registers') or {}
# The filtering condition of this list comprehension is copied
# from `iter_processable_frames`.
#
# We cannot reuse `iter_processable_frames` because the
# symbolicator currently expects a list of stacktraces, not
# flat frames.
#
# Right now we can't even filter out frames (e.g. using a frame
# cache locally). The stacktraces have to be as complete as
# possible because the symbolicator assumes the first frame of
# a stacktrace to be the crashing frame. This assumption is
# already violated because the SDK might chop off frames though
# (which is less likely to be the case though).
pf_list = [pf for pf in reversed(pf_list) if pf.processor == self]
frames = []
for pf in pf_list:
frame = {'instruction_addr': pf['instruction_addr']}
if pf.get('trust') is not None:
frame['trust'] = pf['trust']
frames.append(frame)
has_frames = True
stacktraces.append({'registers': registers, 'frames': frames})
processable_stacktraces.append(pf_list)
if not has_frames:
return
rv = run_symbolicator(project=self.project,
request_id_cache_key=request_id_cache_key,
stacktraces=stacktraces,
modules=self.images,
signal=self.signal)
if not rv:
handle_symbolication_failed(
SymbolicationFailed(
type=EventError.NATIVE_SYMBOLICATOR_FAILED),
data=self.data,
)
return
# TODO(markus): Set signal and os context from symbolicator response,
# for minidumps
assert len(self.images) == len(rv['modules']), (self.images, rv)
for image, complete_image in zip(self.images, rv['modules']):
merge_symbolicator_image(
image, complete_image, self.sdk_info,
lambda e: handle_symbolication_failed(e, data=self.data))
assert len(stacktraces) == len(rv['stacktraces'])
for pf_list, symbolicated_stacktrace in zip(processable_stacktraces,
rv['stacktraces']):
for symbolicated_frame in symbolicated_stacktrace.get(
'frames') or ():
pf = pf_list[symbolicated_frame['original_index']]
pf.data['symbolicator_match'].append(symbolicated_frame)
def run_symbolicator(self, processing_task):
# TODO(markus): Make this work with minidumps. An unprocessed minidump
# event will not contain unsymbolicated frames, because the minidump
# upload already happened in store.
# It will also presumably not contain images, so `self.available` will
# already be `False`.
if not self.available:
return
request_id_cache_key = request_id_cache_key_for_event(self.data)
stacktraces = []
processable_stacktraces = []
has_frames = False
for stacktrace_info, pf_list in processing_task.iter_processable_stacktraces():
registers = stacktrace_info.stacktrace.get('registers') or {}
# The filtering condition of this list comprehension is copied
# from `iter_processable_frames`.
#
# We cannot reuse `iter_processable_frames` because the
# symbolicator currently expects a list of stacktraces, not
# flat frames.
#
# Right now we can't even filter out frames (e.g. using a frame
# cache locally). The stacktraces have to be as complete as
# possible because the symbolicator assumes the first frame of
# a stacktrace to be the crashing frame. This assumption is
# already violated because the SDK might chop off frames though
# (which is less likely to be the case though).
pf_list = [
pf for pf in reversed(pf_list)
if pf.processor == self
]
frames = []
for pf in pf_list:
frame = {'instruction_addr': pf['instruction_addr']}
if pf.get('trust') is not None:
frame['trust'] = pf['trust']
frames.append(frame)
has_frames = True
stacktraces.append({
'registers': registers,
'frames': frames
})
processable_stacktraces.append(pf_list)
if not has_frames:
return
rv = run_symbolicator(
project=self.project,
request_id_cache_key=request_id_cache_key,
stacktraces=stacktraces, modules=self.images,
signal=self.signal
)
if not handle_symbolicator_response_status(self.data, rv):
return
# TODO(markus): Set signal and os context from symbolicator response,
# for minidumps
assert len(self.images) == len(rv['modules']), (self.images, rv)
for image, complete_image in zip(self.images, rv['modules']):
merge_symbolicator_image(
image, complete_image, self.sdk_info,
lambda e: handle_symbolication_failed(e, data=self.data)
)
assert len(stacktraces) == len(rv['stacktraces'])
for pf_list, symbolicated_stacktrace in zip(
processable_stacktraces,
rv['stacktraces']
):
for symbolicated_frame in symbolicated_stacktrace.get('frames') or ():
pf = pf_list[symbolicated_frame['original_index']]
pf.data['symbolicator_match'].append(symbolicated_frame)
def run_symbolicator(self, processing_task):
# TODO(markus): Make this work with minidumps. An unprocessed minidump
# event will not contain unsymbolicated frames, because the minidump
# upload already happened in store.
# It will also presumably not contain images, so `self.available` will
# already be `False`.
if not self.available:
return
request_id_cache_key = request_id_cache_key_for_event(self.data)
stacktraces = []
processable_stacktraces = []
for stacktrace_info, pf_list in processing_task.iter_processable_stacktraces(
):
registers = stacktrace_info.stacktrace.get('registers') or {}
# The filtering condition of this list comprehension is copied
# from `iter_processable_frames`.
#
# We cannot reuse `iter_processable_frames` because the
# symbolicator currently expects a list of stacktraces, not
# flat frames.
#
# Right now we can't even filter out frames (e.g. using a frame
# cache locally). The stacktraces have to be as complete as
# possible because the symbolicator assumes the first frame of
# a stacktrace to be the crashing frame. This assumption is
# already violated because the SDK might chop off frames though
# (which is less likely to be the case though).
pf_list = [pf for pf in reversed(pf_list) if pf.processor == self]
frames = []
for pf in pf_list:
frame = {'instruction_addr': pf['instruction_addr']}
if pf.get('trust') is not None:
frame['trust'] = pf['trust']
frames.append(frame)
stacktraces.append({'registers': registers, 'frames': frames})
processable_stacktraces.append(pf_list)
rv = run_symbolicator(stacktraces=stacktraces,
modules=self.images,
project=self.project,
arch=self.arch,
signal=self.signal,
request_id_cache_key=request_id_cache_key)
if not rv:
self.data \
.setdefault('errors', []) \
.extend(self._handle_symbolication_failed(
SymbolicationFailed(type=EventError.NATIVE_SYMBOLICATOR_FAILED)
))
return
# TODO(markus): Set signal and os context from symbolicator response,
# for minidumps
assert len(self.images) == len(rv['modules']), (self.images, rv)
for image, fetched_debug_file in zip(self.images, rv['modules']):
status = fetched_debug_file.pop('status')
# Set image data from symbolicator as symbolicator might know more
# than the SDK, especially for minidumps
if fetched_debug_file.get('arch') == 'unknown':
fetched_debug_file.pop('arch')
image.update(fetched_debug_file)
if status in ('found', 'unused'):
continue
elif status == 'missing_debug_file':
error = SymbolicationFailed(
type=EventError.NATIVE_MISSING_DSYM)
elif status == 'malformed_debug_file':
error = SymbolicationFailed(type=EventError.NATIVE_BAD_DSYM)
elif status == 'too_large':
error = SymbolicationFailed(type=EventError.FETCH_TOO_LARGE)
elif status == 'fetching_failed':
error = SymbolicationFailed(
type=EventError.FETCH_GENERIC_ERROR)
elif status == 'other':
error = SymbolicationFailed(type=EventError.UNKNOWN_ERROR)
else:
logger.error("Unknown status: %s", status)
continue
error.image_arch = image['arch']
error.image_path = image['code_file']
error.image_name = image_name(image['code_file'])
error.image_uuid = image['debug_id']
self.data.setdefault('errors', []) \
.extend(self._handle_symbolication_failed(error))
assert len(stacktraces) == len(rv['stacktraces'])
for pf_list, symbolicated_stacktrace in zip(processable_stacktraces,
rv['stacktraces']):
for symbolicated_frame in symbolicated_stacktrace.get(
'frames') or ():
pf = pf_list[symbolicated_frame['original_index']]
pf.data['symbolicator_match'].append(symbolicated_frame)
