def datastore(datastore_connection, filestore):
ds = datastore_connection
try:
random_data.create_heuristics(ds, heuristics_count=10)
random_data.create_services(ds)
random_data.create_signatures(ds)
random_data.create_users(ds)
random_data.create_workflows(ds)
submissions = []
for _ in range(2):
submissions.append(random_data.create_submission(
ds, filestore))
random_data.create_alerts(ds,
alert_count=10,
submission_list=submissions)
yield ds
finally:
# Cleanup test data
random_data.wipe_alerts(ds)
random_data.wipe_heuristics(ds)
random_data.wipe_services(ds)
random_data.wipe_signatures(ds)
random_data.wipe_submissions(ds, filestore)
random_data.wipe_users(ds)
random_data.wipe_workflows(ds)
def datastore(datastore_connection, filestore):
ds = datastore_connection
try:
create_users(ds)
create_services(ds)
for _ in range(NUM_FILES):
f = random_model_obj(File)
ds.file.save(f.sha256, f)
file_hashes.append(f.sha256)
filestore.put(f.sha256, f.sha256)
ds.file.commit()
yield ds
finally:
# Cleanup Elastic
ds.file.wipe()
wipe_services(ds)
wipe_users(ds)
# Cleanup Minio
for f in file_hashes:
filestore.delete(f)
# Cleanup Redis
nq.delete()
iq.delete()
def datastore(datastore_connection):
try:
create_users(datastore_connection)
create_services(datastore_connection)
yield datastore_connection
finally:
wipe_users(datastore_connection)
wipe_services(datastore_connection)
def purge_data(ds, fs):
wipe_alerts(ds)
wipe_heuristics(ds)
wipe_services(ds)
wipe_signatures(ds)
wipe_submissions(ds, fs)
wipe_users(ds)
wipe_workflows(ds)
def datastore(datastore_connection):
try:
create_users(datastore_connection)
create_services(datastore_connection)
for _ in range(NUM_WORKFLOWS):
workflow = random_model_obj(Workflow)
workflow_list.append(workflow.workflow_id)
datastore_connection.workflow.save(workflow.workflow_id, workflow)
datastore_connection.workflow.commit()
yield datastore_connection
finally:
wipe_users(datastore_connection)
wipe_services(datastore_connection)
datastore_connection.workflow.wipe()