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root/cvsroot/UserCode/VHbb/python/submitThem.py

Comparing UserCode/VHbb/python/submitThem.py (file contents):
Revision 1.3 by nmohr, Mon Sep 17 19:06:15 2012 UTC vs.
Revision 1.37 by bortigno, Wed Mar 27 14:29:38 2013 UTC

#	Line 1 | Line 1
1		#! /usr/bin/env python
2	<	import os,time,subprocess
3	<	energy='8TeV'
4	<	#energy='7TeV'
5	<
6	<	def submit(job,en):
7	<	command = 'qsub -q all.q -N %s_%s -o /shome/nmohr/VHbbAnalysis/LOG/%s.out -e /shome/nmohr/VHbbAnalysis/LOG/%s.err runAll.sh %s %s' %(job,en,job,job,job,en)
8	<	print command
9	<	subprocess.call([command], shell=True)
10	<
11	<	theJobs = ['ZH110','ZH125','ZH120','DY','ZH115','ZH130','ZH135','ZZ','DY120','Zmm','ST_s','TT','Zee','STbar_s','STbar_t','WZ','WW','STbar_tW','ST_tW']
12	<	if energy=='8TeV':
13	<	theJobs = ['ZH110','ZH125','ZH120','DY','DY5070','DY70100','DY100','ZH115','ZH130','ZH135','ZZ','DY120','Zmm','ST_s','TT','Zee','STbar_s','STbar_t','WZ','WW','STbar_tW','ST_tW']
14	<
15	<
16	<	for job in theJobs:
17	<	submit(job,energy)
18	<	#time.sleep(10)
2	>	from optparse import OptionParser
3	>	import sys
4	>	import time
5	>	import os
6	>	import shutil
7	>
8	>	parser = OptionParser()
9	>	parser.add_option("-T", "--tag", dest="tag", default="",
10	>	help="Tag to run the analysis with, example '8TeV' uses config8TeV and pathConfig8TeV to run the analysis")
11	>	parser.add_option("-J", "--task", dest="task", default="",
12	>	help="Task to be done, i.e. 'dc' for Datacards, 'prep' for preparation of Trees, 'plot' to produce plots or 'eval' to write the MVA output or 'sys' to write regression and systematics (or 'syseval' for both). ")
13	>	parser.add_option("-M", "--mass", dest="mass", default="125",
14	>	help="Mass for DC or Plots, 110...135")
15	>	parser.add_option("-S","--samples",dest="samples",default="",
16	>	help="samples you want to run on")
17	>	parser.add_option("-F", "--folderTag", dest="ftag", default="",
18	>	help="Creats a new folder structure for outputs or uses an existing one with the given name")
19	>	parser.add_option("-N", "--number-of-events", dest="nevents_split", default=100000,
20	>	help="Number of events per file when splitting.")
21	>	parser.add_option("-P", "--philipp-love-progress-bars", dest="philipp_love_progress_bars", default=False,
22	>	help="If you share the love of Philipp...")
23	>
24	>	(opts, args) = parser.parse_args(sys.argv)
25	>
26	>	import os,shutil,pickle,subprocess,ROOT,re
27	>	ROOT.gROOT.SetBatch(True)
28	>	from myutils import BetterConfigParser, Sample, ParseInfo, sample_parser
29	>	import getpass
30	>
31	>	if opts.tag == "":
32	>	print "Please provide tag to run the analysis with, example '-T 8TeV' uses config8TeV and pathConfig8TeV to run the analysis."
33	>	sys.exit(123)
34	>
35	>	if opts.task == "":
36	>	print "Please provide a task.\n-J prep:\tpreparation of Trees\n-J sys:\t\twrite regression and systematics\n-J eval:\tcreate MVA output\n-J plot:\tproduce Plots\n-J dc:\t\twrite workspaces and datacards"
37	>	sys.exit(123)
38	>
39	>
40	>	en = opts.tag
41	>
42	>	#create the list with the samples to run over
43	>	samplesList=opts.samples.split(",")
44	>	timestamp = time.asctime().replace(' ','_').replace(':','-')
45	>
46	>	# the list of the config is taken from the path config
47	>	pathconfig = BetterConfigParser()
48	>	pathconfig.read('%sconfig/paths'%(en))
49	>	_configs = pathconfig.get('Configuration','List').split(" ")
50	>	configs = [ '%sconfig/'%(en) + c for c in _configs  ]
51	>
52	>	if not opts.ftag == '':
53	>	tagDir = pathconfig.get('Directories','tagDir')
54	>	DirStruct={'tagDir':tagDir,'ftagdir':'%s/%s/'%(tagDir,opts.ftag),'logpath':'%s/%s/%s/'%(tagDir,opts.ftag,'Logs'),'plotpath':'%s/%s/%s/'%(tagDir,opts.ftag,'Plots'),'limitpath':'%s/%s/%s/'%(tagDir,opts.ftag,'Limits'),'confpath':'%s/%s/%s/'%(tagDir,opts.ftag,'config') }
55	>
56	>	for keys in ['tagDir','ftagdir','logpath','plotpath','limitpath','confpath']:
57	>	try:
58	>	os.stat(DirStruct[keys])
59	>	except:
60	>	os.mkdir(DirStruct[keys])
61	>
62	>	pathfile = open('%sconfig/paths'%(en))
63	>	buffer = pathfile.readlines()
64	>	pathfile.close()
65	>	os.rename('%sconfig/paths'%(en),'%sconfig/paths.bkp'%(en))
66	>	pathfile = open('%sconfig/paths'%(en),'w')
67	>	for line in buffer:
68	>	if line.startswith('plotpath'):
69	>	line = 'plotpath: %s\n'%DirStruct['plotpath']
70	>	elif line.startswith('logpath'):
71	>	line = 'logpath: %s\n'%DirStruct['logpath']
72	>	elif line.startswith('limits'):
73	>	line = 'limits: %s\n'%DirStruct['limitpath']
74	>	pathfile.write(line)
75	>	pathfile.close()
76	>
77	>	#copy config files
78	>	for item in configs:
79	>	shutil.copyfile(item,'%s/%s/%s'%(tagDir,opts.ftag,item.strip(en)))
80	>
81	>
82	>	print configs
83	>	config = BetterConfigParser()
84	>	config.read(configs)
85	>
86	>	def dump_config(configs,output_file):
87	>	"""
88	>	Dump all the configs in a output file
89	>	Args:
90	>	output_file: the file where the log will be dumped
91	>	configs: list of files (string) to be dumped
92	>	Returns:
93	>	nothing
94	>	"""
95	>	outf = open(output_file,'w')
96	>	for i in configs:
97	>	try:
98	>	f=open(i,'r')
99	>	outf.write(f.read())
100	>	except: print '@WARNING: Config' + i + ' not found. It will not be used.'
101	>
102	>	def compile_macro(config,macro):
103	>	"""
104	>	Creates the library from a macro using CINT compiling it in scratch to avoid
105	>	problems with the linking in the working nodes.
106	>	Args:
107	>	config: configuration file where the macro path is specified
108	>	macro: macro name to be compiled
109	>	Returns:
110	>	nothing
111	>	"""
112	>	submitDir = os.getcwd()
113	>	_macro=macro+'.h'
114	>	library = config.get(macro,'library')
115	>	libDir=os.path.dirname(library)
116	>	os.chdir(libDir)
117	>	if not os.path.exists(library):
118	>	print '@INFO: Compiling ' + _macro
119	>	scratchDir='/scratch/%s/'%(getpass.getuser())
120	>	shutil.copyfile(libDir+'/'+_macro,'/scratch/%s/%s'%(getpass.getuser(),_macro))
121	>	os.chdir(scratchDir)
122	>	ROOT.gROOT.ProcessLine('.L %s+'%(scratchDir+_macro))
123	>	shutil.copyfile('/scratch/%s/%s'%(getpass.getuser(),os.path.basename(library)),library)
124	>	os.chdir(submitDir)
125	>
126	>	compile_macro(config,'BTagReshaping')
127	>	compile_macro(config,'VHbbNameSpace')
128	>
129	>	logPath = config.get("Directories","logpath")
130	>	logo = open('%s/data/submit.txt' %config.get('Directories','vhbbpath')).readlines()
131	>	counter = 0
132	>
133	>	#check if the logPath exist. If not exit
134	>	if( not os.path.isdir(logPath) ):
135	>	print '@ERROR : ' + logPath + ': dir not found.'
136	>	print '@ERROR : Create it before submitting '
137	>	print 'Exit'
138	>	sys.exit(-1)
139	>
140	>
141	>	repDict = {'en':en,'logpath':logPath,'job':'','task':opts.task,'queue': 'all.q','timestamp':timestamp,'additional':'','job_id':''}
142	>	def submit(job,repDict):
143	>	global counter
144	>	repDict['job'] = job
145	>	nJob = counter % len(logo)
146	>	counter += 1
147	>	if opts.philipp_love_progress_bars:
148	>	repDict['name'] = '"%s"' %logo[nJob].strip()
149	>	else:
150	>	repDict['name'] = '%(job)s_%(en)s%(task)s' %repDict
151	>	command = 'qsub -V -cwd -q %(queue)s -l h_vmem=6G -N %(name)s -o %(logpath)s/%(timestamp)s_%(job)s_%(en)s_%(task)s.out -e %(logpath)s/%(timestamp)s_%(job)s_%(en)s_%(task)s.err runAll.sh %(job)s %(en)s ' %(repDict) + opts.task + ' ' + repDict['job_id'] + ' ' + repDict['additional']
152	>	print command
153	>	dump_config(configs,"%(logpath)s/%(timestamp)s_%(job)s_%(en)s_%(task)s.config" %(repDict))
154	>	subprocess.call([command], shell=True)
155	>
156	>	if opts.task == 'train':
157	>	train_list = (config.get('MVALists','List_for_submitscript')).split(',')
158	>	print train_list
159	>	for item in train_list:
160	>	submit(item,repDict)
161	>
162	>
163	>	if opts.task == 'dc':
164	>	#DC_vars = config.items('Limit')
165	>	DC_vars= (config.get('LimitGeneral','List')).split(',')
166	>	print DC_vars
167	>
168	>	if opts.task == 'plot':
169	>	Plot_vars= (config.get('Plot_general','List')).split(',')
170	>
171	>	if not opts.task == 'prep':
172	>	path = config.get("Directories","samplepath")
173	>	samplesinfo = config.get("Directories","samplesinfo")
174	>	info = ParseInfo(samplesinfo,path)
175	>
176	>	if opts.task == 'plot':
177	>	repDict['queue'] = 'all.q'
178	>	for item in Plot_vars:
179	>	submit(item,repDict)
180	>
181	>	if opts.task == 'trainReg':
182	>	repDict['queue'] = 'all.q'
183	>	submit('trainReg',repDict)
184	>
185	>
186	>	elif opts.task == 'dc':
187	>	repDict['queue'] = 'short.q'
188	>	for item in DC_vars:
189	>	if 'ZH%s'%opts.mass in item:
190	>	submit(item,repDict)
191	>	elif 'ZH' in item and opts.mass == 'all':
192	>	submit(item,repDict)
193	>
194	>	elif opts.task == 'prep':
195	>	if ( opts.samples == ""):
196	>	path = config.get("Directories","PREPin")
197	>	samplesinfo = config.get("Directories","samplesinfo")
198	>	info = ParseInfo(samplesinfo,path)
199	>	for job in info:
200	>	submit(job.name,repDict)
201	>
202	>	else:
203	>	for sample in samplesList:
204	>	submit(sample,repDict)
205	>	elif opts.task == 'sys' or opts.task == 'syseval':
206	>	path = config.get("Directories","SYSin")
207	>	samplesinfo = config.get("Directories","samplesinfo")
208	>	info = ParseInfo(samplesinfo,path)
209	>	if ( opts.samples == ""):
210	>	for job in info:
211	>	if (job.subsample):
212	>	continue #avoid multiple submissions form subsamples
213	>	# TO FIX FOR SPLITTED SAMPLE
214	>	submit(job.name,repDict)
215	>	else:
216	>	for sample in samplesList:
217	>	submit(sample,repDict)
218	>
219	>	elif opts.task == 'eval':
220	>	path = config.get("Directories","MVAin")
221	>	samplesinfo = config.get("Directories","samplesinfo")
222	>	info = ParseInfo(samplesinfo,path)
223	>	if ( opts.samples == ""):
224	>	for job in info:
225	>	if (job.subsample):
226	>	continue #avoid multiple submissions from subsamples
227	>	if(info.checkSplittedSampleName(job.identifier)): # if multiple entries for one name  (splitted samples) use the identifier to submit
228	>	print '@INFO: Splitted samples: submit through identifier'
229	>	submit(job.identifier,repDict)
230	>	else: submit(job.name,repDict)
231	>	else:
232	>	for sample in samplesList:
233	>	submit(sample,repDict)
234	>
235	>
236	>	elif( opts.task == 'split' ):
237	>	path = config.get("Directories","SPLITin")
238	>	samplesinfo = config.get("Directories","samplesinfo")
239	>	repDict['job_id']=opts.nevents_split
240	>	info = ParseInfo(samplesinfo,path)
241	>	if ( opts.samples == "" ):
242	>	for job in info:
243	>	if (job.subsample): continue #avoid multiple submissions from subsamples
244	>	submit(job.name,repDict)
245	>	else:
246	>	for sample in samplesList:
247	>	submit(sample,repDict)
248	>
249	>	#BDT optimisation
250	>	elif opts.task == 'mva_opt':
251	>	total_number_of_steps=1
252	>	setting = ''
253	>	for par in (config.get('Optimisation','parameters').split(',')):
254	>	scan_par=eval(config.get('Optimisation',par))
255	>	setting+=par+'='+str(scan_par[0])+':'
256	>	if len(scan_par) > 1 and scan_par[2] != 0:
257	>	total_number_of_steps+=scan_par[2]
258	>	setting=setting[:-1] # eliminate last column at the end of the setting string
259	>	print setting
260	>	repDict['additional']=setting
261	>	repDict['job_id']=config.get('Optimisation','training')
262	>	submit('OPT_main_set',repDict)
263	>	main_setting=setting
264	>
265	>	#Scanning all the parameters found in the training config in the Optimisation sector
266	>	for par in (config.get('Optimisation','parameters').split(',')):
267	>	scan_par=eval(config.get('Optimisation',par))
268	>	print par
269	>	if len(scan_par) > 1 and scan_par[2] != 0:
270	>	for step in range(scan_par[2]):
271	>	value = (scan_par[0])+((1+step)*(scan_par[1]-scan_par[0])/scan_par[2])
272	>	print value
273	>	setting=re.sub(par+'.*?:',par+'='+str(value)+':',main_setting)
274	>	repDict['additional']=setting
275	>	#                               repDict['job_id']=config.get('Optimisation','training')
276	>	submit('OPT_'+par+str(value),repDict)
277	>	#                               submit(config.get('Optimisation','training'),repDict)
278	>	print setting
279	>
280	>
281	>	os.system('qstat')
282	>	if (opts.philipp_love_progress_bars):
283	>	os.system('./qstat.py')

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