|
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
|
# Auto generated configuration file
# with command line options: stepALCA --datatier ALCARECO --conditions auto:run2_data -s ALCA:PromptCalibProdSiStripGains --eventcontent ALCARECO -n 1000 --dasquery=file dataset=/ZeroBias/Run2016C-SiStripCalMinBias-18Apr2017-v1/ALCARECO run=276243 --no_exec
import warnings
import FWCore.ParameterSet.Config as cms
from FWCore.ParameterSet.VarParsing import VarParsing
options = VarParsing('analysis')
options.register('era',"A", VarParsing.multiplicity.singleton, VarParsing.varType.string, "input era")
options.parseArguments()
import os
import Utilities.General.cmssw_das_client as das_client
###################################################################
def getFileNames_das_client(era_name):
###################################################################
"""Return files for given DAS query via das_client"""
files = []
query = "dataset dataset=/ZeroBias/Run2*"+era_name+"*SiStripCalMinBias-*/ALCARECO site=T2_CH_CERN"
jsondict = das_client.get_data(query)
status = jsondict['status']
if status != 'ok':
warnings.warn("DAS query status: %s"%(status))
return files
data = jsondict['data']
viableDS = []
for element in data:
viableDS.append(element['dataset'][0]['name'])
print("Using Dataset:",viableDS[-1])
query = "file dataset=%s site=T2_CH_CERN | grep file.name" % viableDS[-1]
jsondict = das_client.get_data(query)
status = jsondict['status']
if status != 'ok':
warnings.warn("DAS query status: %s"%(status))
return files
mongo_query = jsondict['mongo_query']
filters = mongo_query['filters']
data = jsondict['data']
files = []
for row in data:
the_file = [r for r in das_client.get_value(row, filters['grep'])][0]
if len(the_file) > 0 and not the_file in files:
files.append(the_file)
return files
###################################################################
process = cms.Process('testFromALCARECO')
# import of standard configurations
process.load('Configuration.StandardSequences.Services_cff')
###################################################################
# Messages
###################################################################
process.load('FWCore.MessageService.MessageLogger_cfi')
process.MessageLogger.cerr.enable = False
process.MessageLogger.SiStripGainsPCLWorker=dict()
process.MessageLogger.cout = cms.untracked.PSet(
enable = cms.untracked.bool(True),
threshold = cms.untracked.string("DEBUG"),
enableStatistics = cms.untracked.bool(True),
default = cms.untracked.PSet(limit = cms.untracked.int32(0)),
FwkReport = cms.untracked.PSet(limit = cms.untracked.int32(-1),
reportEvery = cms.untracked.int32(1000)
),
SiStripGainsPCLWorker = cms.untracked.PSet( limit = cms.untracked.int32(-1)),
)
process.load('Configuration.EventContent.EventContent_cff')
process.load('Configuration.StandardSequences.GeometryRecoDB_cff')
process.load('Configuration.StandardSequences.MagneticField_cff')
process.load('Configuration.StandardSequences.AlCaRecoStreams_cff')
process.load('Configuration.StandardSequences.EndOfProcess_cff')
process.load('Configuration.StandardSequences.FrontierConditions_GlobalTag_cff')
process.maxEvents = cms.untracked.PSet(
input = cms.untracked.int32(10)
)
INPUTFILES=getFileNames_das_client(options.era)
if len(INPUTFILES)==0:
warnings.warn("** WARNING: ** According to a DAS query no suitable data for test is available. Skipping test!")
### since there are tests depending on this one, if the query fails, let's exit with an error
os._exit(1)
myFiles = cms.untracked.vstring()
myFiles.extend([INPUTFILES[0][0].replace("\"","")])
# Input source
process.source = cms.Source("PoolSource",
fileNames = myFiles,
secondaryFileNames = cms.untracked.vstring()
)
process.options = cms.untracked.PSet()
# Additional output definition
process.ALCARECOStreamPromptCalibProdSiStripGains = cms.OutputModule("PoolOutputModule",
SelectEvents = cms.untracked.PSet(SelectEvents = cms.vstring('pathALCARECOPromptCalibProdSiStripGains')),
dataset = cms.untracked.PSet(dataTier = cms.untracked.string('ALCARECO'),
filterName = cms.untracked.string('PromptCalibProdSiStripGains')),
eventAutoFlushCompressedSize = cms.untracked.int32(5242880),
fileName = cms.untracked.string('PromptCalibProdSiStripGains_'+options.era+'.root'),
outputCommands = cms.untracked.vstring('drop *',
'keep *_MEtoEDMConvertSiStripGains_*_*'
)
)
# Other statements
process.ALCARECOEventContent.outputCommands.extend(process.OutALCARECOPromptCalibProdSiStripGains_noDrop.outputCommands)
from Configuration.AlCa.GlobalTag import GlobalTag
process.GlobalTag = GlobalTag(process.GlobalTag, 'auto:run2_data', '')
# Path and EndPath definitions
process.endjob_step = cms.EndPath(process.endOfProcess)
process.ALCARECOStreamPromptCalibProdSiStripGainsOutPath = cms.EndPath(process.ALCARECOStreamPromptCalibProdSiStripGains)
# Schedule definition
process.schedule = cms.Schedule(process.pathALCARECOPromptCalibProdSiStripGains,process.endjob_step,process.ALCARECOStreamPromptCalibProdSiStripGainsOutPath)
from PhysicsTools.PatAlgos.tools.helpers import associatePatAlgosToolsTask
associatePatAlgosToolsTask(process)
# Customisation from command line
# Add early deletion of temporary data products to reduce peak memory need
from Configuration.StandardSequences.earlyDeleteSettings_cff import customiseEarlyDelete
process = customiseEarlyDelete(process)
# End adding early deletion
|