import sys
import uuid
from pandaharvester.harvestercore.job_spec import JobSpec
from pandaharvester.harvestercore.file_spec import FileSpec
from pandaharvester.harvestercore.event_spec import EventSpec
from pandaharvester.harvestercore.communicator_pool import CommunicatorPool
rID = sys.argv[1]
taskid = rID.split('-')[0]
pandaid = long(rID.split('-')[1])
job = JobSpec()
job.PandaID = pandaid
event = EventSpec()
file = FileSpec()
file.status = 'finished'
file.objstoreID = 9575
file.pathConvention = 1000
file.lfn = str(uuid.uuid4().hex) + '.zip'
file.fsize = 555
file.chksum = '0d2a9dc9'
event.eventRangeID = rID
event.eventStatus = 'finished'
job.zipEventMap = {1: {'events':[event],
'zip':file}}
a = CommunicatorPool()
a.update_jobs([job])
for f in os.listdir('.'):
if f.startswith(file_prefix):
os.remove(f)
atexit.register(exit_func)
queueName = sys.argv[1]
queueConfigMapper = QueueConfigMapper()
queueConfig = queueConfigMapper.get_queue(queueName)
fileSpec = FileSpec()
fileSpec.fileType = 'output'
fileSpec.lfn = file_prefix + uuid.uuid4().hex + '.gz'
fileSpec.fileAttributes = {'guid': str(uuid.uuid4())}
fileSpec.chksum = '0d439274'
assFileSpec = FileSpec()
assFileSpec.lfn = file_prefix + uuid.uuid4().hex
assFileSpec.fileType = 'es_output'
assFileSpec.fsize = random.randint(10, 100)
assFileSpec.path = os.getcwd() + '/' + assFileSpec.lfn
oFile = open(assFileSpec.lfn, 'w')
oFile.write(''.join(
random.choice(string.ascii_uppercase + string.digits)
for _ in range(assFileSpec.fsize)))
oFile.close()
fileSpec.add_associated_file(assFileSpec)
jobSpec = JobSpec()
jobSpec.jobParams = {
'outFiles': fileSpec.lfn + ',log',
'scopeOut': 'panda',