| 1 |
nsmirnov |
1.1 |
from Actor import *
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| 2 |
nsmirnov |
1.6 |
from crab_util import *
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| 3 |
nsmirnov |
1.2 |
import common
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| 4 |
corvo |
1.9 |
from ApmonIf import ApmonIf
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| 5 |
spiga |
1.10 |
import Statistic
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| 6 |
nsmirnov |
1.1 |
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| 7 |
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class Submitter(Actor):
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| 8 |
nsmirnov |
1.4 |
def __init__(self, cfg_params, nj_list):
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| 9 |
nsmirnov |
1.1 |
self.cfg_params = cfg_params
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| 10 |
nsmirnov |
1.4 |
self.nj_list = nj_list
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| 11 |
spiga |
1.10 |
#############################################
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| 12 |
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fileCODE1 = open(common.work_space.logDir()+"/.code","r")
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| 13 |
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array = fileCODE1.read().split('::')
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| 14 |
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self.ID1 = array[0]
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| 15 |
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self.NJC = array[1]
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| 16 |
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self.dataset = array[2]
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| 17 |
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self.owner = array[3]
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| 18 |
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fileCODE1.close()
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| 19 |
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| 20 |
nsmirnov |
1.1 |
return
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| 21 |
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| 22 |
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def run(self):
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| 23 |
nsmirnov |
1.2 |
"""
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| 24 |
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The main method of the class.
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| 25 |
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"""
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| 26 |
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common.logger.debug(5, "Submitter::run() called")
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| 27 |
corvo |
1.9 |
# Add an instance of ApmonIf to send relevant parameters to ML
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| 28 |
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mon = ApmonIf()
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| 29 |
slacapra |
1.7 |
firstJob=self.nj_list[0]
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| 30 |
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match = common.scheduler.listMatch(firstJob)
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| 31 |
slacapra |
1.8 |
if match:
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| 32 |
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common.logger.message("Found compatible resources "+str(match))
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| 33 |
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else:
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| 34 |
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raise CrabException("No compatible resources found!")
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| 35 |
fanzago |
1.16 |
#########
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| 36 |
nsmirnov |
1.2 |
# Loop over jobs
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| 37 |
nsmirnov |
1.6 |
njs = 0
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| 38 |
corvo |
1.15 |
try:
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| 39 |
corvo |
1.17 |
for nj in self.nj_list:
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| 40 |
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st = common.jobDB.status(nj)
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| 41 |
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#print "nj = ", nj
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| 42 |
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#print "st = ", st
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| 43 |
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if st != 'C' and st != 'K' and st != 'A' and st != 'RC':
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| 44 |
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long_st = crabJobStatusToString(st)
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| 45 |
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#msg = "Job # %d is not submitted: status %s"%(nj+1, long_st)
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| 46 |
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#common.logger.message(msg)
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| 47 |
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continue
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| 48 |
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| 49 |
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common.logger.message("Submitting job # "+`(nj+1)`)
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| 50 |
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print "submitting job!"
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| 51 |
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jid = common.scheduler.submit(nj)
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| 52 |
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| 53 |
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common.jobDB.setStatus(nj, 'S')
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| 54 |
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common.jobDB.setJobId(nj, jid)
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| 55 |
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njs += 1
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| 56 |
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| 57 |
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############################################
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| 58 |
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| 59 |
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destination = common.scheduler.queryDest(jid).split(":")[0]
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| 60 |
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ID3 = jid.split("/")[3]
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| 61 |
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broker = jid.split("/")[2].split(":")[0]
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| 62 |
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if st == 'C':
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| 63 |
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resFlag = 0
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| 64 |
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elif st == 'RC':
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| 65 |
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resFlag = 2
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| 66 |
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else:
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| 67 |
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resFlag = 0
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| 68 |
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pass
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| 69 |
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| 70 |
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Statistic.notify('submit',resFlag,'-----',self.dataset,self.owner,destination,broker,ID3,self.ID1,self.NJC)
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| 71 |
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| 72 |
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# List of parameters to be sent to ML monitor system
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| 73 |
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user = os.getlogin()
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| 74 |
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taskId = os.getlogin()+'_'+string.split(common.work_space.topDir(),'/')[-2]
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| 75 |
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jobId = str(nj)
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| 76 |
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sid = jid
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| 77 |
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try:
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| 78 |
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application = os.path.basename(os.environ['SCRAMRT_LOCALRT'])
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| 79 |
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except KeyError:
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| 80 |
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application = os.path.basename(os.environ['LOCALRT'])
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| 81 |
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| 82 |
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nevtJob = common.jobDB.maxEvents(nj)
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| 83 |
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exe = self.cfg_params['USER.executable']
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| 84 |
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tool = common.prog_name
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| 85 |
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scheduler = self.cfg_params['CRAB.scheduler']
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| 86 |
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taskType = 'analysis'
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| 87 |
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vo = 'cms'
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| 88 |
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dataset = self.cfg_params['USER.dataset']
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| 89 |
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owner = self.cfg_params['USER.owner']
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| 90 |
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rb = sid.split(':')[1]
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| 91 |
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rb = rb.replace('//', '')
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| 92 |
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params = {'taskId': taskId, 'jobId': jobId, 'sid': sid, 'application': application, \
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| 93 |
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'exe': exe, 'nevtJob': nevtJob, 'tool': tool, 'scheduler': scheduler, \
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| 94 |
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'user': user, 'taskType': taskType, 'vo': vo, 'dataset': dataset, 'owner': owner, 'broker': rb}
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| 95 |
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mon.fillDict(params)
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| 96 |
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mon.sendToML()
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| 97 |
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except:
|
| 98 |
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common.jobDB.save()
|
| 99 |
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common.jobDB.save()
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| 100 |
corvo |
1.15 |
|
| 101 |
nsmirnov |
1.6 |
msg = '\nTotal of %d jobs submitted'%njs
|
| 102 |
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if njs != len(self.nj_list) :
|
| 103 |
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msg += ' (from %d requested).'%(len(self.nj_list))
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| 104 |
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pass
|
| 105 |
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else:
|
| 106 |
|
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msg += '.'
|
| 107 |
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pass
|
| 108 |
nsmirnov |
1.2 |
common.logger.message(msg)
|
| 109 |
nsmirnov |
1.1 |
return
|
| 110 |
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