Source code for workbench.workers.evel_knievel_type

''' EvelKnievelType worker '''
import hashlib
import magic
import pprint

class EvelKnievelType(object):
[docs] """This worker pseudo-randomly throws a TypeError Exception. The pseudo-random part is that the logic is deterministic given a pile of md5s about 7% will fail but it will always be the same ones""" dependencies = ['meta'] def __init__(self): ''' Initialization ''' self.meta = {} def execute(self, input_data):
[docs] ''' This worker pseudo-randomly throws a TypeError Exception. ''' md5 = input_data['meta']['md5'] if not (int(md5,16) % 15): print '%d' % md5 return {'Evel': 'fail'} return {'Evel':'success'} # Unit test: Create the class, the proper input and run the execute() method for a test import pytest
#pylint: disable=no-member @pytest.mark.xfail #pylint: enable=no-member def test(): ''' Unit test''' # This worker test requires a local server running import zerorpc workbench = zerorpc.Client(timeout=300, heartbeat=60) workbench.connect("tcp://") # Generate the input data for this worker import os data_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), '../data/pe/bad/0e8b030fb6ae48ffd29e520fc16b5641') md5 = workbench.store_sample(open(data_path, 'rb').read(), 'bad_pe', 'exe') input_data = workbench.work_request('meta', md5) # Execute the worker (unit test) worker = EvelKnievelType() output = worker.execute(input_data) print '\n<<< Unit Test >>>' pprint.pprint(output) # Execute the worker (server test) output = workbench.work_request('evel_knievel_type', md5) print '\n<<< Server Test >>>' pprint.pprint(output) if __name__ == "__main__": test()