|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
|
#!/usr/bin/env python3
"""
_AlCaPPS_Run3_
Scenario supporting proton collisions for AlCa needs for the CT-PPS detector
"""
import os
import sys
from Configuration.DataProcessing.Scenario import *
from Configuration.DataProcessing.Impl.AlCa import AlCa
from Configuration.DataProcessing.Utils import stepALCAPRODUCER,dqmIOSource,harvestingMode,dictIO,gtNameAndConnect,addMonitoring
from Configuration.Eras.Era_Run3_cff import Run3
import FWCore.ParameterSet.Config as cms
class AlCaPPS_Run3(AlCa):
def __init__(self):
Scenario.__init__(self)
self.eras=Run3
self.skims=['PPSCalMaxTracks']
"""
_AlCaPPS_Run3_
Implement configuration building for data processing for proton
collision data taking for AlCa needs for the CT-PPS detector
"""
def skimsIfNotGiven(self,args,sl):
if not 'skims' in args:
args['skims']=sl
def promptReco(self, globalTag, **args):
if not 'skims' in args:
args['skims']=self.skims
if not 'customs' in args:
args['customs']= [ ]
options = Options()
options.__dict__.update(defaultOptions.__dict__)
options.scenario = "pp"
dictIO(options,args)
options.conditions = gtNameAndConnect(globalTag, args)
if 'customs' in args:
print(args['customs'])
options.customisation_file=args['customs']
options.step += stepALCAPRODUCER(args['skims'])
process = cms.Process('RECO', cms.ModifierChain(self.eras) )
cb = ConfigBuilder(options, process = process, with_output = True)
# Input source
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring()
)
cb.prepare()
return process
def alcaSkim(self, skims, **args):
"""
_alcaSkim_
AlcaReco processing & skims for proton collisions
"""
step = ""
pclWflws = [x for x in skims if "PromptCalibProd" in x]
skims = [x for x in skims if x not in pclWflws]
if len(pclWflws):
step += 'ALCA:'+('+'.join(pclWflws))
if len(skims) > 0:
if step != "":
step += ","
step += "ALCAOUTPUT:"+('+'.join(skims))
options = Options()
options.__dict__.update(defaultOptions.__dict__)
options.scenario = "pp"
options.step = step
options.conditions = args['globaltag'] if 'globaltag' in args else 'None'
if 'globalTagConnect' in args and args['globalTagConnect'] != '':
options.conditions += ','+args['globalTagConnect']
options.triggerResultsProcess = 'RECO'
process = cms.Process('ALCA', self.eras)
cb = ConfigBuilder(options, process=process)
# Input source
process.source = cms.Source(
"PoolSource",
fileNames=cms.untracked.vstring()
)
cb.prepare()
# Tier0 needs the dataset used for ALCAHARVEST step to be a different data-tier
for wfl in pclWflws:
methodToCall = getattr(process, 'ALCARECOStream'+wfl)
methodToCall.dataset.dataTier = cms.untracked.string('ALCAPROMPT')
return process
def dqmHarvesting(self, datasetName, runNumber, globalTag, **args):
"""
_dqmHarvesting_
Proton collisions data taking DQM Harvesting
"""
options = defaultOptions
options.scenario = "pp"
options.step = "HARVESTING:alcaHarvesting"
options.name = "EDMtoMEConvert"
options.conditions = gtNameAndConnect(globalTag, args)
process = cms.Process("HARVESTING", self.eras)
process.source = dqmIOSource(args)
configBuilder = ConfigBuilder(options, process = process)
configBuilder.prepare()
# customise process for particular job
harvestingMode(process,datasetName,args)
return process
def expressProcessing(self, globalTag, **args):
"""
_expressProcessing_
Proton collision data taking express processing
"""
skims = []
if 'skims' in args:
skims = args['skims']
pclWkflws = [x for x in skims if "PromptCalibProd" in x]
for wfl in pclWkflws:
skims.remove(wfl)
options = Options()
options.__dict__.update(defaultOptions.__dict__)
options.scenario = "pp"
options.step = stepALCAPRODUCER(skims)
if 'outputs' in args:
# the RAW data-tier needs a special treatment since the event-content as defined in release is not good enough
outputs_Raw = [x for x in args['outputs'] if x['dataTier'] == 'RAW']
outputs_noRaw = [x for x in args['outputs'] if x['dataTier'] != 'RAW']
if len(outputs_Raw) == 1:
print('RAW data-tier requested')
options.outputDefinition = outputs_noRaw.__str__()
options.conditions = gtNameAndConnect(globalTag, args)
options.filein = 'tobeoverwritten.xyz'
if 'inputSource' in args:
options.filetype = args['inputSource']
process = cms.Process('RECO', self.eras)
if 'customs' in args:
options.customisation_file=args['customs']
cb = ConfigBuilder(options, process = process, with_output = True, with_input = True)
cb.prepare()
addMonitoring(process)
for output in outputs_Raw:
print(output)
moduleLabel = output['moduleLabel']
selectEvents = output.get('selectEvents', None)
maxSize = output.get('maxSize', None)
outputModule = cms.OutputModule(
"PoolOutputModule",
fileName = cms.untracked.string("%s.root" % moduleLabel)
)
outputModule.dataset = cms.untracked.PSet(dataTier = cms.untracked.string("RAW"))
if maxSize != None:
outputModule.maxSize = cms.untracked.int32(maxSize)
if selectEvents != None:
outputModule.SelectEvents = cms.untracked.PSet(
SelectEvents = cms.vstring(selectEvents)
)
outputModule.outputCommands = cms.untracked.vstring('drop *',
'keep *_*_*_HLT')
setattr(process, moduleLabel, outputModule)
setattr(process, moduleLabel+'_step', cms.EndPath(outputModule))
path = getattr(process, moduleLabel+'_step')
process.schedule.append(path)
return process
|