def test_dispatch_extracted(clean_redis, clean_datastore):
redis = clean_redis
ds = clean_datastore
# def service_queue(name): return get_service_queue(name, redis)
# Setup the fake datastore
file_hash = get_random_hash(64)
second_file_hash = get_random_hash(64)
for fh in [file_hash, second_file_hash]:
obj = random_model_obj(models.file.File)
obj.sha256 = fh
ds.file.save(fh, obj)
# Inject the fake submission
submission = random_model_obj(models.submission.Submission)
submission.files = [dict(name='./file', sha256=file_hash)]
sid = submission.sid = 'first-submission'
disp = Dispatcher(ds, redis, redis)
disp.running = ToggleTrue()
client = DispatchClient(ds, redis, redis)
client.dispatcher_data_age = time.time()
client.dispatcher_data.append(disp.instance_id)
# Launch the submission
client.dispatch_submission(submission)
disp.pull_submissions()
disp.service_worker(disp.process_queue_index(sid))
# Finish one service extracting a file
job = client.request_work('0', 'extract', '0')
assert job.fileinfo.sha256 == file_hash
assert job.filename == './file'
new_result: Result = random_minimal_obj(Result)
new_result.sha256 = file_hash
new_result.response.service_name = 'extract'
new_result.response.extracted = [
dict(sha256=second_file_hash,
name='second-*',
description='abc',
classification='U')
]
client.service_finished(sid, 'extracted-done', new_result)
# process the result
disp.pull_service_results()
disp.service_worker(disp.process_queue_index(sid))
disp.service_worker(disp.process_queue_index(sid))
#
job = client.request_work('0', 'extract', '0')
assert job.fileinfo.sha256 == second_file_hash
assert job.filename == 'second-*'
class TaskingClient:
"""A helper class to simplify tasking for privileged services and service-server.
This tool helps take care of interactions between the filestore,
datastore, dispatcher, and any sources of files to be processed.
"""
def __init__(self,
datastore: AssemblylineDatastore = None,
filestore: FileStore = None,
config=None,
redis=None,
redis_persist=None,
identify=None):
self.log = logging.getLogger('assemblyline.tasking_client')
self.config = config or forge.CachedObject(forge.get_config)
self.datastore = datastore or forge.get_datastore(self.config)
self.dispatch_client = DispatchClient(self.datastore,
redis=redis,
redis_persist=redis_persist)
self.event_sender = EventSender('changes.services', redis)
self.filestore = filestore or forge.get_filestore(self.config)
self.heuristic_handler = HeuristicHandler(self.datastore)
self.heuristics = {
h.heur_id: h
for h in self.datastore.list_all_heuristics()
}
self.status_table = ExpiringHash(SERVICE_STATE_HASH,
ttl=60 * 30,
host=redis)
self.tag_safelister = forge.CachedObject(forge.get_tag_safelister,
kwargs=dict(
log=self.log,
config=config,
datastore=self.datastore),
refresh=300)
if identify:
self.cleanup = False
else:
self.cleanup = True
self.identify = identify or forge.get_identify(
config=self.config, datastore=self.datastore, use_cache=True)
def __enter__(self):
return self
def __exit__(self, *_):
self.stop()
def stop(self):
if self.cleanup:
self.identify.stop()
@elasticapm.capture_span(span_type='tasking_client')
def upload_file(self,
file_path,
classification,
ttl,
is_section_image,
expected_sha256=None):
# Identify the file info of the uploaded file
file_info = self.identify.fileinfo(file_path)
# Validate SHA256 of the uploaded file
if expected_sha256 is None or expected_sha256 == file_info['sha256']:
file_info['archive_ts'] = now_as_iso(
self.config.datastore.ilm.days_until_archive * 24 * 60 * 60)
file_info['classification'] = classification
if ttl:
file_info['expiry_ts'] = now_as_iso(ttl * 24 * 60 * 60)
else:
file_info['expiry_ts'] = None
# Update the datastore with the uploaded file
self.datastore.save_or_freshen_file(
file_info['sha256'],
file_info,
file_info['expiry_ts'],
file_info['classification'],
is_section_image=is_section_image)
# Upload file to the filestore (upload already checks if the file exists)
self.filestore.upload(file_path, file_info['sha256'])
else:
raise TaskingClientException(
"Uploaded file does not match expected file hash. "
f"[{file_info['sha256']} != {expected_sha256}]")
# Service
@elasticapm.capture_span(span_type='tasking_client')
def register_service(self, service_data, log_prefix=""):
keep_alive = True
try:
# Get heuristics list
heuristics = service_data.pop('heuristics', None)
# Patch update_channel, registry_type before Service registration object creation
service_data['update_channel'] = service_data.get(
'update_channel',
self.config.services.preferred_update_channel)
service_data['docker_config']['registry_type'] = service_data['docker_config'] \
.get('registry_type', self.config.services.preferred_registry_type)
service_data['privileged'] = service_data.get(
'privileged', self.config.services.prefer_service_privileged)
for dep in service_data.get('dependencies', {}).values():
dep['container']['registry_type'] = dep.get(
'registry_type',
self.config.services.preferred_registry_type)
# Pop unused registration service_data
for x in ['file_required', 'tool_version']:
service_data.pop(x, None)
# Create Service registration object
service = Service(service_data)
# Fix service version, we don't need to see the stable label
service.version = service.version.replace('stable', '')
# Save service if it doesn't already exist
if not self.datastore.service.exists(
f'{service.name}_{service.version}'):
self.datastore.service.save(
f'{service.name}_{service.version}', service)
self.datastore.service.commit()
self.log.info(f"{log_prefix}{service.name} registered")
keep_alive = False
# Save service delta if it doesn't already exist
if not self.datastore.service_delta.exists(service.name):
self.datastore.service_delta.save(service.name,
{'version': service.version})
self.datastore.service_delta.commit()
self.log.info(f"{log_prefix}{service.name} "
f"version ({service.version}) registered")
new_heuristics = []
if heuristics:
plan = self.datastore.heuristic.get_bulk_plan()
for index, heuristic in enumerate(heuristics):
heuristic_id = f'#{index}' # Set heuristic id to it's position in the list for logging purposes
try:
# Append service name to heuristic ID
heuristic[
'heur_id'] = f"{service.name.upper()}.{str(heuristic['heur_id'])}"
# Attack_id field is now a list, make it a list if we receive otherwise
attack_id = heuristic.get('attack_id', None)
if isinstance(attack_id, str):
heuristic['attack_id'] = [attack_id]
heuristic = Heuristic(heuristic)
heuristic_id = heuristic.heur_id
plan.add_upsert_operation(heuristic_id, heuristic)
except Exception as e:
msg = f"{service.name} has an invalid heuristic ({heuristic_id}): {str(e)}"
self.log.exception(f"{log_prefix}{msg}")
raise ValueError(msg)
for item in self.datastore.heuristic.bulk(plan)['items']:
if item['update']['result'] != "noop":
new_heuristics.append(item['update']['_id'])
self.log.info(
f"{log_prefix}{service.name} "
f"heuristic {item['update']['_id']}: {item['update']['result'].upper()}"
)
self.datastore.heuristic.commit()
service_config = self.datastore.get_service_with_delta(
service.name, as_obj=False)
# Notify components watching for service config changes
self.event_sender.send(service.name, {
'operation': Operation.Added,
'name': service.name
})
except ValueError as e: # Catch errors when building Service or Heuristic model(s)
raise e
return dict(keep_alive=keep_alive,
new_heuristics=new_heuristics,
service_config=service_config or dict())
# Task
@elasticapm.capture_span(span_type='tasking_client')
def get_task(self,
client_id,
service_name,
service_version,
service_tool_version,
metric_factory,
status_expiry=None,
timeout=30):
if status_expiry is None:
status_expiry = time.time() + timeout
cache_found = False
try:
service_data = self.dispatch_client.service_data[service_name]
except KeyError:
raise ServiceMissingException(
"The service you're asking task for does not exist, try later",
404)
# Set the service status to Idle since we will be waiting for a task
self.status_table.set(
client_id, (service_name, ServiceStatus.Idle, status_expiry))
# Getting a new task
task = self.dispatch_client.request_work(client_id,
service_name,
service_version,
timeout=timeout)
if not task:
# We've reached the timeout and no task found in service queue
return None, False
# We've got a task to process, consider us busy
self.status_table.set(client_id, (service_name, ServiceStatus.Running,
time.time() + service_data.timeout))
metric_factory.increment('execute')
result_key = Result.help_build_key(
sha256=task.fileinfo.sha256,
service_name=service_name,
service_version=service_version,
service_tool_version=service_tool_version,
is_empty=False,
task=task)
# If we are allowed, try to see if the result has been cached
if not task.ignore_cache and not service_data.disable_cache:
# Checking for previous results for this key
result = self.datastore.result.get_if_exists(result_key)
if result:
metric_factory.increment('cache_hit')
if result.result.score:
metric_factory.increment('scored')
else:
metric_factory.increment('not_scored')
result.archive_ts = now_as_iso(
self.config.datastore.ilm.days_until_archive * 24 * 60 *
60)
if task.ttl:
result.expiry_ts = now_as_iso(task.ttl * 24 * 60 * 60)
self.dispatch_client.service_finished(task.sid, result_key,
result)
cache_found = True
if not cache_found:
# Checking for previous empty results for this key
result = self.datastore.emptyresult.get_if_exists(
f"{result_key}.e")
if result:
metric_factory.increment('cache_hit')
metric_factory.increment('not_scored')
result = self.datastore.create_empty_result_from_key(
result_key)
self.dispatch_client.service_finished(
task.sid, f"{result_key}.e", result)
cache_found = True
if not cache_found:
metric_factory.increment('cache_miss')
else:
metric_factory.increment('cache_skipped')
if not cache_found:
# No luck with the cache, lets dispatch the task to a client
return task.as_primitives(), False
return None, True
@elasticapm.capture_span(span_type='tasking_client')
def task_finished(self, service_task, client_id, service_name,
metric_factory):
exec_time = service_task.get('exec_time')
try:
task = ServiceTask(service_task['task'])
if 'result' in service_task: # Task created a result
missing_files = self._handle_task_result(
exec_time, task, service_task['result'], client_id,
service_name, service_task['freshen'], metric_factory)
if missing_files:
return dict(success=False, missing_files=missing_files)
return dict(success=True)
elif 'error' in service_task: # Task created an error
error = service_task['error']
self._handle_task_error(exec_time, task, error, client_id,
service_name, metric_factory)
return dict(success=True)
else:
return None
except ValueError as e: # Catch errors when building Task or Result model
raise e
@elasticapm.capture_span(span_type='tasking_client')
def _handle_task_result(self, exec_time: int, task: ServiceTask,
result: Dict[str, Any], client_id, service_name,
freshen: bool, metric_factory):
def freshen_file(file_info_list, item):
file_info = file_info_list.get(item['sha256'], None)
if file_info is None or not self.filestore.exists(item['sha256']):
return True
else:
file_info['archive_ts'] = archive_ts
file_info['expiry_ts'] = expiry_ts
file_info['classification'] = item['classification']
self.datastore.save_or_freshen_file(
item['sha256'],
file_info,
file_info['expiry_ts'],
file_info['classification'],
is_section_image=item.get('is_section_image', False))
return False
archive_ts = now_as_iso(self.config.datastore.ilm.days_until_archive *
24 * 60 * 60)
if task.ttl:
expiry_ts = now_as_iso(task.ttl * 24 * 60 * 60)
else:
expiry_ts = None
# Check if all files are in the filestore
if freshen:
missing_files = []
hashes = list(
set([
f['sha256'] for f in result['response']['extracted'] +
result['response']['supplementary']
]))
file_infos = self.datastore.file.multiget(hashes,
as_obj=False,
error_on_missing=False)
with elasticapm.capture_span(
name="handle_task_result.freshen_files",
span_type="tasking_client"):
with concurrent.futures.ThreadPoolExecutor(
max_workers=5) as executor:
res = {
f['sha256']: executor.submit(freshen_file, file_infos,
f)
for f in result['response']['extracted'] +
result['response']['supplementary']
}
for k, v in res.items():
if v.result():
missing_files.append(k)
if missing_files:
return missing_files
# Add scores to the heuristics, if any section set a heuristic
with elasticapm.capture_span(
name="handle_task_result.process_heuristics",
span_type="tasking_client"):
total_score = 0
for section in result['result']['sections']:
zeroize_on_sig_safe = section.pop('zeroize_on_sig_safe', True)
section['tags'] = flatten(section['tags'])
if section.get('heuristic'):
heur_id = f"{service_name.upper()}.{str(section['heuristic']['heur_id'])}"
section['heuristic']['heur_id'] = heur_id
try:
section[
'heuristic'], new_tags = self.heuristic_handler.service_heuristic_to_result_heuristic(
section['heuristic'], self.heuristics,
zeroize_on_sig_safe)
for tag in new_tags:
section['tags'].setdefault(tag[0], [])
if tag[1] not in section['tags'][tag[0]]:
section['tags'][tag[0]].append(tag[1])
total_score += section['heuristic']['score']
except InvalidHeuristicException:
section['heuristic'] = None
# Update the total score of the result
result['result']['score'] = total_score
# Add timestamps for creation, archive and expiry
result['created'] = now_as_iso()
result['archive_ts'] = archive_ts
result['expiry_ts'] = expiry_ts
# Pop the temporary submission data
temp_submission_data = result.pop('temp_submission_data', None)
if temp_submission_data:
old_submission_data = {
row.name: row.value
for row in task.temporary_submission_data
}
temp_submission_data = {
k: v
for k, v in temp_submission_data.items()
if k not in old_submission_data or v != old_submission_data[k]
}
big_temp_data = {
k: len(str(v))
for k, v in temp_submission_data.items()
if len(str(v)) > self.config.submission.max_temp_data_length
}
if big_temp_data:
big_data_sizes = [f"{k}={v}" for k, v in big_temp_data.items()]
self.log.warning(
f"[{task.sid}] The following temporary submission keys where ignored because they are "
"bigger then the maximum data size allowed "
f"[{self.config.submission.max_temp_data_length}]: {' | '.join(big_data_sizes)}"
)
temp_submission_data = {
k: v
for k, v in temp_submission_data.items()
if k not in big_temp_data
}
# Process the tag values
with elasticapm.capture_span(name="handle_task_result.process_tags",
span_type="tasking_client"):
for section in result['result']['sections']:
# Perform tag safelisting
tags, safelisted_tags = self.tag_safelister.get_validated_tag_map(
section['tags'])
section['tags'] = unflatten(tags)
section['safelisted_tags'] = safelisted_tags
section['tags'], dropped = construct_safe(
Tagging, section.get('tags', {}))
# Set section score to zero and lower total score if service is set to zeroize score
# and all tags were safelisted
if section.pop('zeroize_on_tag_safe', False) and \
section.get('heuristic') and \
len(tags) == 0 and \
len(safelisted_tags) != 0:
result['result']['score'] -= section['heuristic']['score']
section['heuristic']['score'] = 0
if dropped:
self.log.warning(
f"[{task.sid}] Invalid tag data from {service_name}: {dropped}"
)
result = Result(result)
result_key = result.build_key(
service_tool_version=result.response.service_tool_version,
task=task)
self.dispatch_client.service_finished(task.sid, result_key, result,
temp_submission_data)
# Metrics
if result.result.score > 0:
metric_factory.increment('scored')
else:
metric_factory.increment('not_scored')
self.log.info(
f"[{task.sid}] {client_id} - {service_name} "
f"successfully completed task {f' in {exec_time}ms' if exec_time else ''}"
)
self.status_table.set(
client_id, (service_name, ServiceStatus.Idle, time.time() + 5))
@elasticapm.capture_span(span_type='tasking_client')
def _handle_task_error(self, exec_time: int, task: ServiceTask,
error: Dict[str, Any], client_id, service_name,
metric_factory) -> None:
self.log.info(
f"[{task.sid}] {client_id} - {service_name} "
f"failed to complete task {f' in {exec_time}ms' if exec_time else ''}"
)
# Add timestamps for creation, archive and expiry
error['created'] = now_as_iso()
error['archive_ts'] = now_as_iso(
self.config.datastore.ilm.days_until_archive * 24 * 60 * 60)
if task.ttl:
error['expiry_ts'] = now_as_iso(task.ttl * 24 * 60 * 60)
error = Error(error)
error_key = error.build_key(
service_tool_version=error.response.service_tool_version,
task=task)
self.dispatch_client.service_failed(task.sid, error_key, error)
# Metrics
if error.response.status == 'FAIL_RECOVERABLE':
metric_factory.increment('fail_recoverable')
else:
metric_factory.increment('fail_nonrecoverable')
self.status_table.set(
client_id, (service_name, ServiceStatus.Idle, time.time() + 5))
def test_simple(clean_redis, clean_datastore):
ds = clean_datastore
redis = clean_redis
def service_queue(name):
return get_service_queue(name, redis)
file = random_model_obj(File)
file_hash = file.sha256
file.type = 'unknown'
ds.file.save(file_hash, file)
sub: Submission = random_model_obj(models.submission.Submission)
sub.sid = sid = 'first-submission'
sub.params.ignore_cache = False
sub.params.max_extracted = 5
sub.params.classification = get_classification().UNRESTRICTED
sub.params.initial_data = json.dumps({'cats': 'big'})
sub.files = [dict(sha256=file_hash, name='file')]
disp = Dispatcher(ds, redis, redis)
disp.running = ToggleTrue()
client = DispatchClient(ds, redis, redis)
client.dispatcher_data_age = time.time()
client.dispatcher_data.append(disp.instance_id)
# Submit a problem, and check that it gets added to the dispatch hash
# and the right service queues
logger.info('==== first dispatch')
# task = SubmissionTask(sub.as_primitives(), 'some-completion-queue')
client.dispatch_submission(sub)
disp.pull_submissions()
disp.service_worker(disp.process_queue_index(sid))
task = disp.tasks.get(sid)
assert task.queue_keys[(file_hash, 'extract')] is not None
assert task.queue_keys[(file_hash, 'wrench')] is not None
assert service_queue('extract').length() == 1
assert service_queue('wrench').length() == 1
# Making the same call again will queue it up again
logger.info('==== second dispatch')
disp.dispatch_file(task, file_hash)
assert task.queue_keys[(file_hash, 'extract')] is not None
assert task.queue_keys[(file_hash, 'wrench')] is not None
assert service_queue('extract').length() == 1 # the queue doesn't pile up
assert service_queue('wrench').length() == 1
logger.info('==== third dispatch')
job = client.request_work('0', 'extract', '0')
assert job.temporary_submission_data == [{'name': 'cats', 'value': 'big'}]
client.service_failed(sid, 'abc123', make_error(file_hash, 'extract'))
# Deliberately do in the wrong order to make sure that works
disp.pull_service_results()
disp.service_worker(disp.process_queue_index(sid))
assert task.queue_keys[(file_hash, 'extract')] is not None
assert task.queue_keys[(file_hash, 'wrench')] is not None
assert service_queue('extract').length() == 1
# Mark extract as finished, wrench as failed
logger.info('==== fourth dispatch')
client.request_work('0', 'extract', '0')
client.request_work('0', 'wrench', '0')
client.service_finished(sid, 'extract-result',
make_result(file_hash, 'extract'))
client.service_failed(sid, 'wrench-error',
make_error(file_hash, 'wrench', False))
for _ in range(2):
disp.pull_service_results()
disp.service_worker(disp.process_queue_index(sid))
assert wait_error(task, file_hash, 'wrench')
assert wait_result(task, file_hash, 'extract')
assert service_queue('av-a').length() == 1
assert service_queue('av-b').length() == 1
assert service_queue('frankenstrings').length() == 1
# Have the AVs fail, frankenstrings finishes
logger.info('==== fifth dispatch')
client.request_work('0', 'av-a', '0')
client.request_work('0', 'av-b', '0')
client.request_work('0', 'frankenstrings', '0')
client.service_failed(sid, 'av-a-error',
make_error(file_hash, 'av-a', False))
client.service_failed(sid, 'av-b-error',
make_error(file_hash, 'av-b', False))
client.service_finished(sid, 'f-result',
make_result(file_hash, 'frankenstrings'))
for _ in range(3):
disp.pull_service_results()
disp.service_worker(disp.process_queue_index(sid))
assert wait_result(task, file_hash, 'frankenstrings')
assert wait_error(task, file_hash, 'av-a')
assert wait_error(task, file_hash, 'av-b')
assert service_queue('xerox').length() == 1
# Finish the xerox service and check if the submission completion got checked
logger.info('==== sixth dispatch')
client.request_work('0', 'xerox', '0')
client.service_finished(sid, 'xerox-result-key',
make_result(file_hash, 'xerox'))
disp.pull_service_results()
disp.service_worker(disp.process_queue_index(sid))
disp.save_submission()
assert wait_result(task, file_hash, 'xerox')
assert disp.tasks.get(sid) is None
class MockService(ServerBase):
"""Replaces everything past the dispatcher.
Including service API, in the future probably include that in this test.
"""
def __init__(self, name, datastore, redis, filestore):
super().__init__('assemblyline.service.' + name)
self.service_name = name
self.datastore = datastore
self.filestore = filestore
self.queue = get_service_queue(name, redis)
self.dispatch_client = DispatchClient(self.datastore, redis)
self.hits = dict()
self.drops = dict()
def try_run(self):
while self.running:
task = self.dispatch_client.request_work('worker',
self.service_name,
'0',
timeout=1)
if not task:
continue
print(self.service_name, 'has received a job', task.sid)
file = self.filestore.get(task.fileinfo.sha256)
instructions = json.loads(file)
instructions = instructions.get(self.service_name, {})
print(self.service_name, 'following instruction:', instructions)
hits = self.hits[task.fileinfo.sha256] = self.hits.get(
task.fileinfo.sha256, 0) + 1
if instructions.get('semaphore', False):
_global_semaphore.acquire(blocking=True,
timeout=instructions['semaphore'])
continue
if 'drop' in instructions:
if instructions['drop'] >= hits:
self.drops[task.fileinfo.sha256] = self.drops.get(
task.fileinfo.sha256, 0) + 1
continue
if instructions.get('failure', False):
error = Error(instructions['error'])
error.sha256 = task.fileinfo.sha256
self.dispatch_client.service_failed(task.sid,
error=error,
error_key=get_random_id())
continue
result_data = {
'archive_ts': time.time() + 300,
'classification': 'U',
'response': {
'service_version': '0',
'service_tool_version': '0',
'service_name': self.service_name,
},
'result': {},
'sha256': task.fileinfo.sha256,
'expiry_ts': time.time() + 600
}
result_data.update(instructions.get('result', {}))
result_data['response'].update(instructions.get('response', {}))
result = Result(result_data)
result_key = instructions.get('result_key', get_random_id())
self.dispatch_client.service_finished(task.sid, result_key, result)
class RandomService(ServerBase):
"""Replaces everything past the dispatcher.
Including service API, in the future probably include that in this test.
"""
def __init__(self, datastore=None, filestore=None):
super().__init__('assemblyline.randomservice')
self.config = forge.get_config()
self.datastore = datastore or forge.get_datastore()
self.filestore = filestore or forge.get_filestore()
self.client_id = get_random_id()
self.service_state_hash = ExpiringHash(SERVICE_STATE_HASH, ttl=30 * 60)
self.counters = {
n: MetricsFactory('service', Metrics, name=n, config=self.config)
for n in self.datastore.service_delta.keys()
}
self.queues = [
forge.get_service_queue(name)
for name in self.datastore.service_delta.keys()
]
self.dispatch_client = DispatchClient(self.datastore)
self.service_info = CachedObject(self.datastore.list_all_services,
kwargs={'as_obj': False})
def run(self):
self.log.info("Random service result generator ready!")
self.log.info("Monitoring queues:")
for q in self.queues:
self.log.info(f"\t{q.name}")
self.log.info("Waiting for messages...")
while self.running:
# Reset Idle flags
for s in self.service_info:
if s['enabled']:
self.service_state_hash.set(
f"{self.client_id}_{s['name']}",
(s['name'], ServiceStatus.Idle, time.time() + 30 + 5))
message = select(*self.queues, timeout=1)
if not message:
continue
archive_ts = now_as_iso(
self.config.datastore.ilm.days_until_archive * 24 * 60 * 60)
if self.config.submission.dtl:
expiry_ts = now_as_iso(self.config.submission.dtl * 24 * 60 *
60)
else:
expiry_ts = None
queue, msg = message
task = ServiceTask(msg)
if not self.dispatch_client.running_tasks.add(
task.key(), task.as_primitives()):
continue
# Set service busy flag
self.service_state_hash.set(
f"{self.client_id}_{task.service_name}",
(task.service_name, ServiceStatus.Running,
time.time() + 30 + 5))
# METRICS
self.counters[task.service_name].increment('execute')
# METRICS (not caching here so always miss)
self.counters[task.service_name].increment('cache_miss')
self.log.info(
f"\tQueue {queue} received a new task for sid {task.sid}.")
action = random.randint(1, 10)
if action >= 2:
if action > 8:
result = random_minimal_obj(Result)
else:
result = random_model_obj(Result)
result.sha256 = task.fileinfo.sha256
result.response.service_name = task.service_name
result.archive_ts = archive_ts
result.expiry_ts = expiry_ts
result.response.extracted = result.response.extracted[task.
depth +
2:]
result.response.supplementary = result.response.supplementary[
task.depth + 2:]
result_key = Result.help_build_key(
sha256=task.fileinfo.sha256,
service_name=task.service_name,
service_version='0',
is_empty=result.is_empty())
self.log.info(
f"\t\tA result was generated for this task: {result_key}")
new_files = result.response.extracted + result.response.supplementary
for f in new_files:
if not self.datastore.file.get(f.sha256):
random_file = random_model_obj(File)
random_file.archive_ts = archive_ts
random_file.expiry_ts = expiry_ts
random_file.sha256 = f.sha256
self.datastore.file.save(f.sha256, random_file)
if not self.filestore.exists(f.sha256):
self.filestore.put(f.sha256, f.sha256)
time.sleep(random.randint(0, 2))
self.dispatch_client.service_finished(task.sid, result_key,
result)
# METRICS
if result.result.score > 0:
self.counters[task.service_name].increment('scored')
else:
self.counters[task.service_name].increment('not_scored')
else:
error = random_model_obj(Error)
error.archive_ts = archive_ts
error.expiry_ts = expiry_ts
error.sha256 = task.fileinfo.sha256
error.response.service_name = task.service_name
error.type = random.choice(
["EXCEPTION", "SERVICE DOWN", "SERVICE BUSY"])
error_key = error.build_key('0')
self.log.info(
f"\t\tA {error.response.status}:{error.type} "
f"error was generated for this task: {error_key}")
self.dispatch_client.service_failed(task.sid, error_key, error)
# METRICS
if error.response.status == "FAIL_RECOVERABLE":
self.counters[task.service_name].increment(
'fail_recoverable')
else:
self.counters[task.service_name].increment(
'fail_nonrecoverable')