def testUpload(self):
"""
Test uploading to a crab server
"""
tb = UserTarball(name='default.tgz', logger=self.logger, config=testWMConfig)
result = tb.upload()
self.assertTrue(result['size'] > 0)
self.assertTrue(len(result['hashkey']) > 0)
def testUpload(self):
"""
Test uploading to a crab server
"""
tb = UserTarball(name='default.tgz',
logger=self.logger,
config=testWMConfig)
result = tb.upload()
self.assertTrue(result['size'] > 0)
self.assertTrue(len(result['hashkey']) > 0)
def testContext(self):
"""
Test the object out of context (after TarFile is closed)
"""
with UserTarball(name='default.tgz', logger=self.logger) as tb:
self.tarBalls.append(tb.name)
self.assertRaises(IOError, tb.addFiles)
self.assertEqual(tarfile.GNU_FORMAT, tb.tarfile.format)
def testInit(self):
"""
Test constructor
"""
tb = UserTarball(name='default.tgz', logger=self.logger)
self.assertEqual(os.path.basename(tb.name), 'default.tgz')
self.tarBalls.append(tb.name)
def testGlob(self):
"""
Test globbing and extra files
"""
userFiles = ['%s/src/Module/Submodule/extra_*.txt' % (self.base),
'%s/src/Module/Submodule/additional_file.txt' % (self.base)]
tb = UserTarball(name='default.tgz', logger=self.logger)
tb.addFiles(userFiles=userFiles)
members = ['lib', 'lib/slc5_ia32_gcc434', 'lib/slc5_ia32_gcc434/libSomewhere.so',
'lib/slc5_ia32_gcc434/libSomething.so', 'src/Module/Submodule/data',
'src/Module/Submodule/data/datafile.txt', 'extra_file2.txt',
'extra_file.txt', 'additional_file.txt']
self.assertEqual(sorted(tb.getnames()), sorted(members))
self.tarBalls.append(tb.name)
def testAccess(self):
"""
Test accesses with __getattr__ to the underlying TarFile.
This test really should be done with assertRaises as a context manager
which is only available in python 2.7
"""
tb = UserTarball(name='default.tgz', logger=self.logger)
try:
tb.doesNotExist()
self.fail('Did not raise AttributeError')
except AttributeError:
pass
try:
x = tb.doesNotExistEither
self.fail('Did not raise AttributeError')
except AttributeError:
pass
def testAccess(self):
"""
Test accesses with __getattr__ to the underlying TarFile.
This test really should be done with assertRaises as a context manager
which is only available in python 2.7
"""
tb = UserTarball(name='default.tgz', logger=self.logger)
try:
tb.doesNotExist()
self.fail('Did not raise AttributeError')
except AttributeError:
pass
try:
x = tb.doesNotExistEither
self.fail('Did not raise AttributeError')
except AttributeError:
pass
def testGlob(self):
"""
Test globbing and extra files
"""
userFiles = [
'%s/src/Module/Submodule/extra_*.txt' % (self.base),
'%s/src/Module/Submodule/additional_file.txt' % (self.base)
]
tb = UserTarball(name='default.tgz', logger=self.logger)
tb.addFiles(userFiles=userFiles)
members = [
'lib', 'lib/slc5_ia32_gcc434',
'lib/slc5_ia32_gcc434/libSomewhere.so',
'lib/slc5_ia32_gcc434/libSomething.so',
'src/Module/Submodule/data',
'src/Module/Submodule/data/datafile.txt', 'extra_file2.txt',
'extra_file.txt', 'additional_file.txt'
]
self.assertEqual(sorted(tb.getnames()), sorted(members))
self.tarBalls.append(tb.name)
def testMissingGlob(self):
"""
Test globbing and extra files
"""
userFiles = [
'%s/src/Module/Submodule/extra_*.txt' % (self.base),
'%s/src/Module/Submodule/missing_file.txt' % (self.base)
]
tb = UserTarball(name='default.tgz', logger=self.logger)
self.assertRaises(InputFileNotFoundException,
tb.addFiles,
userFiles=userFiles)
self.tarBalls.append(tb.name)
def testAddFiles(self):
"""
Test the basic tarball, no userfiles
"""
members = [
'lib',
'lib/slc5_ia32_gcc434',
'lib/slc5_ia32_gcc434/libSomewhere.so',
'lib/slc5_ia32_gcc434/libSomething.so',
'src/Module/Submodule/data',
'src/Module/Submodule/data/datafile.txt',
]
with UserTarball(name='default.tgz', logger=self.logger) as tb:
self.tarBalls.append(tb.name)
tb.addFiles()
self.assertEqual(sorted(tb.getnames()), sorted(members))
def run(self, filecacheurl=None):
"""
Override run() for JobType
"""
configArguments = {
'addoutputfiles': [],
'adduserfiles': [],
'tfileoutfiles': [],
'edmoutfiles': [],
}
if getattr(self.config.Data, 'useParent', False) and getattr(
self.config.Data, 'secondaryInputDataset', None):
msg = "Invalid CRAB configuration: Parameters Data.useParent and Data.secondaryInputDataset cannot be used together."
raise ConfigurationException(msg)
# Get SCRAM environment
scram = ScramEnvironment(logger=self.logger)
configArguments.update({
'jobarch': scram.getScramArch(),
'jobsw': scram.getCmsswVersion()
})
# Build tarball
if self.workdir:
tarUUID = PandaInterface.wrappedUuidGen()
self.logger.debug('UNIQUE NAME: tarUUID %s ' % tarUUID)
if len(tarUUID):
tarFilename = os.path.join(self.workdir,
tarUUID + 'default.tgz')
cfgOutputName = os.path.join(self.workdir, BOOTSTRAP_CFGFILE)
else:
raise EnvironmentException(
'Problem with uuidgen while preparing for Sandbox upload.')
else:
_dummy, tarFilename = tempfile.mkstemp(suffix='.tgz')
_dummy, cfgOutputName = tempfile.mkstemp(suffix='_cfg.py')
if getattr(self.config.Data, 'inputDataset', None):
configArguments['inputdata'] = self.config.Data.inputDataset
## Create CMSSW config.
self.logger.debug("self.config: %s" % (self.config))
self.logger.debug("self.config.JobType.psetName: %s" %
(self.config.JobType.psetName))
## The loading of a CMSSW pset in the CMSSWConfig constructor is not idempotent
## in the sense that a second loading of the same pset may not produce the same
## result. Therefore there is a cache in CMSSWConfig to avoid loading any CMSSW
## pset twice. However, some "complicated" psets seem to evade the caching.
## Thus, to be safe, keep the CMSSWConfig instance in a class variable, so that
## it can be reused later if wanted (for example, in PrivateMC when checking if
## the pset has an LHE source) instead of having to load the pset again.
## As for what does "complicated" psets mean, Daniel Riley said that there are
## some psets where one module modifies the configuration from another module.
self.cmsswCfg = CMSSWConfig(config=self.config,
logger=self.logger,
userConfig=self.config.JobType.psetName)
## If there is a CMSSW pset, do a basic validation of it.
if not bootstrapDone() and self.config.JobType.psetName:
valid, msg = self.cmsswCfg.validateConfig()
if not valid:
raise ConfigurationException(msg)
## We need to put the pickled CMSSW configuration in the right place.
## Here, we determine if the bootstrap script already run and prepared everything
## for us. In such case we move the file, otherwise we pickle.dump the pset
if not bootstrapDone():
# Write out CMSSW config
self.cmsswCfg.writeFile(cfgOutputName)
else:
# Move the pickled and the configuration files created by the bootstrap script
self.moveCfgFile(cfgOutputName)
## Interrogate the CMSSW pset for output files (only output files produced by
## PoolOutputModule or TFileService are identified automatically). Do this
## automatic detection even if JobType.disableAutomaticOutputCollection = True,
## so that we can still classify the output files in EDM, TFile and additional
## output files in the Task DB (and the job ad).
## TODO: Do we really need this classification at all? cmscp and PostJob read
## the FJR to know if an output file is EDM, TFile or other.
edmfiles, tfiles = self.cmsswCfg.outputFiles()
## If JobType.disableAutomaticOutputCollection = True, ignore the EDM and TFile
## output files that are not listed in JobType.outputFiles.
if getattr(
self.config.JobType, 'disableAutomaticOutputCollection',
getParamDefaultValue(
'JobType.disableAutomaticOutputCollection')):
outputFiles = [
re.sub(r'^file:', '', file)
for file in getattr(self.config.JobType, 'outputFiles', [])
]
edmfiles = [file for file in edmfiles if file in outputFiles]
tfiles = [file for file in tfiles if file in outputFiles]
## Get the list of additional output files that have to be collected as given
## in JobType.outputFiles, but remove duplicates listed already as EDM files or
## TFiles.
addoutputFiles = [
re.sub(r'^file:', '', file)
for file in getattr(self.config.JobType, 'outputFiles', [])
if re.sub(r'^file:', '', file) not in edmfiles + tfiles
]
self.logger.debug(
"The following EDM output files will be collected: %s" % edmfiles)
self.logger.debug(
"The following TFile output files will be collected: %s" % tfiles)
self.logger.debug(
"The following user output files will be collected: %s" %
addoutputFiles)
configArguments['edmoutfiles'] = edmfiles
configArguments['tfileoutfiles'] = tfiles
configArguments['addoutputfiles'].extend(addoutputFiles)
## Give warning message in case no output file was detected in the CMSSW pset
## nor was any specified in the CRAB configuration.
if not configArguments['edmoutfiles'] and not configArguments[
'tfileoutfiles'] and not configArguments['addoutputfiles']:
msg = "%sWarning%s:" % (colors.RED, colors.NORMAL)
if getattr(
self.config.JobType, 'disableAutomaticOutputCollection',
getParamDefaultValue(
'JobType.disableAutomaticOutputCollection')):
msg += " Automatic detection of output files in the CMSSW configuration is disabled from the CRAB configuration"
msg += " and no output file was explicitly specified in the CRAB configuration."
else:
msg += " CRAB could not detect any output file in the CMSSW configuration"
msg += " nor was any explicitly specified in the CRAB configuration."
msg += " Hence CRAB will not collect any output file from this task."
self.logger.warning(msg)
## UserTarball calls ScramEnvironment which can raise EnvironmentException.
## Since ScramEnvironment is already called above and the exception is not
## handled, we are sure that if we reached this point it will not raise EnvironmentException.
## But otherwise we should take this into account.
with UserTarball(name=tarFilename,
logger=self.logger,
config=self.config) as tb:
inputFiles = [
re.sub(r'^file:', '', file)
for file in getattr(self.config.JobType, 'inputFiles', [])
]
tb.addFiles(userFiles=inputFiles, cfgOutputName=cfgOutputName)
configArguments['adduserfiles'] = [
os.path.basename(f) for f in inputFiles
]
try:
uploadResult = tb.upload(filecacheurl=filecacheurl)
except HTTPException as hte:
if 'X-Error-Info' in hte.headers:
reason = hte.headers['X-Error-Info']
reason_re = re.compile(
r'\AFile size is ([0-9]*)B\. This is bigger than the maximum allowed size of ([0-9]*)B\.$'
)
re_match = reason_re.match(reason)
if re_match:
ISBSize = int(re_match.group(1))
ISBSizeLimit = int(re_match.group(2))
reason = "%sError%s:" % (colors.RED, colors.NORMAL)
reason += " Input sanbox size is ~%sMB. This is bigger than the maximum allowed size of %sMB." % (
ISBSize / 1024 / 1024, ISBSizeLimit / 1024 / 1024)
ISBContent = sorted(tb.content, reverse=True)
biggestFileSize = ISBContent[0][0]
ndigits = int(
math.ceil(math.log(biggestFileSize + 1, 10)))
reason += "\nInput sanbox content sorted by size[Bytes]:"
for (size, name) in ISBContent:
reason += ("\n%" + str(ndigits) + "s\t%s") % (size,
name)
raise ClientException(reason)
raise hte
except Exception as e:
msg = (
"Impossible to calculate the checksum of the sandbox tarball.\nError message: %s.\n"
"More details can be found in %s" %
(e, self.logger.logfile))
LOGGERS['CRAB3'].exception(
msg) #the traceback is only printed into the logfile
raise ClientException(msg)
configArguments['cacheurl'] = filecacheurl
configArguments['cachefilename'] = "%s.tar.gz" % uploadResult
self.logger.debug("Result uploading input files: %(cachefilename)s " %
configArguments)
# Upload list of user-defined input files to process as the primary input
userFilesList = getattr(self.config.Data, 'userInputFiles', None)
if userFilesList:
self.logger.debug(
"Attaching list of user-specified primary input files.")
userFilesList = map(string.strip, userFilesList)
userFilesList = [file for file in userFilesList if file]
if len(userFilesList) != len(set(userFilesList)):
msg = "%sWarning%s:" % (colors.RED, colors.NORMAL)
msg += " CRAB configuration parameter Data.userInputFiles contains duplicated entries."
msg += " Duplicated entries will be removed."
self.logger.warning(msg)
configArguments['userfiles'] = set(userFilesList)
configArguments['primarydataset'] = getattr(
self.config.Data, 'outputPrimaryDataset', 'CRAB_UserFiles')
lumi_mask_name = getattr(self.config.Data, 'lumiMask', None)
lumi_list = None
if lumi_mask_name:
self.logger.debug("Attaching lumi mask %s to the request" %
(lumi_mask_name))
try:
lumi_list = getLumiList(lumi_mask_name, logger=self.logger)
except ValueError as ex:
msg = "%sError%s:" % (colors.RED, colors.NORMAL)
msg += " Failed to load lumi mask %s : %s" % (lumi_mask_name,
ex)
raise ConfigurationException(msg)
run_ranges = getattr(self.config.Data, 'runRange', None)
if run_ranges:
run_ranges_is_valid = re.match('^\d+((?!(-\d+-))(\,|\-)\d+)*$',
run_ranges)
if run_ranges_is_valid:
run_list = getRunList(run_ranges)
if lumi_list:
lumi_list.selectRuns(run_list)
if not lumi_list:
msg = "Invalid CRAB configuration: The intersection between the lumi mask and the run range is null."
raise ConfigurationException(msg)
else:
if len(run_list) > 50000:
msg = "CRAB configuration parameter Data.runRange includes %s runs." % str(
len(run_list))
msg += " When Data.lumiMask is not specified, Data.runRange can not include more than 50000 runs."
raise ConfigurationException(msg)
lumi_list = LumiList(runs=run_list)
else:
msg = "Invalid CRAB configuration: Parameter Data.runRange should be a comma separated list of integers or (inclusive) ranges. Example: '12345,99900-99910'"
raise ConfigurationException(msg)
if lumi_list:
configArguments['runs'] = lumi_list.getRuns()
## For each run we encode the lumis as a string representing a list of integers: [[1,2],[5,5]] ==> '1,2,5,5'
lumi_mask = lumi_list.getCompactList()
configArguments['lumis'] = [
str(reduce(lambda x, y: x + y,
lumi_mask[run]))[1:-1].replace(' ', '')
for run in configArguments['runs']
]
configArguments['jobtype'] = 'Analysis'
return tarFilename, configArguments
# Horrible hack to be able to import this from anywhere
template_filename = os.path.join(os.environ['CMSSW_BASE'],
'src/UHH2/scripts/crab/crab_template.py')
sys.path.append(os.path.dirname(template_filename))
from crab_template import config as dummy_config
# # Create dummy config file for testing - only needs JobType info
# dummy_config = config()
# dummy_config.JobType.psetName = os.path.join(os.environ['CMSSW_BASE'], 'src/UHH2/core/python/ntuplewriter_data_2018.py')
# dummy_config.JobType.inputFiles = [os.path.join(os.environ['CMSSW_BASE'], 'src/L1Prefiring/EventWeightProducer/files/L1PrefiringMaps_new.root')]
# dummy_config.JobType.sendExternalFolder = True # needed for fastjet setup
# Create tarball
tarball_name = args.output
with UserTarball(name=tarball_name, config=dummy_config,
logger=logger) as tb:
# We ignore the pset and pickle file as they are only a few MB, account for later
inputFiles = [
re.sub(r'^file:', '', file)
for file in getattr(dummy_config.JobType, 'inputFiles', [])
]
tb.addFiles(userFiles=inputFiles)
if not os.path.isfile(tarball_name):
raise IOError("Tarball file %s was not produced" % tarball_name)
if args.noSizeCheck:
sys.exit(0)
# Check size
size_bytes = os.path.getsize(tarball_name)
def run(self, filecacheurl = None):
"""
Override run() for JobType
"""
configArguments = {'addoutputfiles' : [],
'adduserfiles' : [],
'tfileoutfiles' : [],
'edmoutfiles' : [],
}
# Get SCRAM environment
scram = ScramEnvironment(logger=self.logger)
configArguments.update({'jobarch' : scram.scramArch,
'jobsw' : scram.cmsswVersion, })
# Build tarball
if self.workdir:
tarUUID = PandaInterface.wrappedUuidGen()
self.logger.debug('UNIQUE NAME: tarUUID %s ' % tarUUID)
if len(tarUUID):
tarFilename = os.path.join(self.workdir, tarUUID +'default.tgz')
cfgOutputName = os.path.join(self.workdir, 'CMSSW_cfg.py')
else:
raise EnvironmentException('Problem with uuidgen while preparing for Sandbox upload.')
else:
_dummy, tarFilename = tempfile.mkstemp(suffix='.tgz')
_dummy, cfgOutputName = tempfile.mkstemp(suffix='_cfg.py')
if getattr(self.config.Data, 'inputDataset', None):
configArguments['inputdata'] = self.config.Data.inputDataset
# configArguments['ProcessingVersion'] = getattr(self.config.Data, 'processingVersion', None)
# Create CMSSW config
self.logger.debug("self.config: %s" % self.config)
self.logger.debug("self.config.JobType.psetName: %s" % self.config.JobType.psetName)
cmsswCfg = CMSSWConfig(config=self.config, logger=self.logger,
userConfig=self.config.JobType.psetName)
## Interogate CMSSW config and user config for output file names. For now no use for EDM files or TFiles here.
edmfiles, tfiles = cmsswCfg.outputFiles()
addoutputFiles = [re.sub(r'^file:', '', file) for file in getattr(self.config.JobType, 'outputFiles', []) if re.sub(r'^file:', '', file) not in edmfiles+tfiles]
self.logger.debug("The following EDM output files will be collected: %s" % edmfiles)
self.logger.debug("The following TFile output files will be collected: %s" % tfiles)
self.logger.debug("The following user output files will be collected: %s" % addoutputFiles)
configArguments['edmoutfiles'] = edmfiles
configArguments['tfileoutfiles'] = tfiles
configArguments['addoutputfiles'].extend(addoutputFiles)
# Write out CMSSW config
cmsswCfg.writeFile(cfgOutputName)
## UserTarball calls ScramEnvironment which can raise EnvironmentException.
## Since ScramEnvironment is already called above and the exception is not
## handled, we are sure that if we reached this point it will not raise EnvironmentException.
## But otherwise we should take this into account.
with UserTarball(name=tarFilename, logger=self.logger, config=self.config) as tb:
inputFiles = [re.sub(r'^file:', '', file) for file in getattr(self.config.JobType, 'inputFiles', [])]
tb.addFiles(userFiles=inputFiles, cfgOutputName=cfgOutputName)
configArguments['adduserfiles'] = [os.path.basename(f) for f in inputFiles]
uploadResults = tb.upload(filecacheurl = filecacheurl)
self.logger.debug("Result uploading input files: %s " % str(uploadResults))
configArguments['cacheurl'] = filecacheurl
configArguments['cachefilename'] = uploadResults[0]
isbchecksum = uploadResults[1]
# Upload list of user-defined input files to process as the primary input
userFilesList = getattr(self.config.Data, 'userInputFiles', None)
if userFilesList:
self.logger.debug("Attaching list of user-specified primary input files.")
userFilesList = map(string.strip, userFilesList)
userFilesList = [file for file in userFilesList if file]
if len(userFilesList) != len(set(userFilesList)):
msg = "%sWarning%s: CRAB configuration parameter Data.userInputFiles contains duplicated entries." % (colors.RED, colors.NORMAL)
msg += " Duplicated entries will be removed."
self.logger.warning(msg)
configArguments['userfiles'] = set(userFilesList)
## Get the user-specified primary dataset name.
primaryDataset = getattr(self.config.Data, 'primaryDataset', 'CRAB_UserFiles')
# Normalizes "foo/bar" and "/foo/bar" to "/foo/bar"
primaryDataset = "/" + os.path.join(*primaryDataset.split("/"))
if not re.match("/%(primDS)s.*" % (lfnParts), primaryDataset):
self.logger.warning("Invalid primary dataset name %s; publication may fail." % (primaryDataset))
configArguments['inputdata'] = primaryDataset
lumi_mask_name = getattr(self.config.Data, 'lumiMask', None)
lumi_list = None
if lumi_mask_name:
self.logger.debug("Attaching lumi mask %s to the request" % lumi_mask_name)
lumi_list = getLumiList(lumi_mask_name, logger = self.logger)
run_ranges = getattr(self.config.Data, 'runRange', None)
run_ranges_is_valid = run_ranges is not None and isinstance(run_ranges, str) and re.match('^\d+((?!(-\d+-))(\,|\-)\d+)*$', run_ranges)
if run_ranges_is_valid:
run_list = getRunList(run_ranges)
if lumi_list:
lumi_list.selectRuns(run_list)
else:
if len(run_list) > 50000:
msg = "Data.runRange includes %s runs." % str(len(run_list))
msg += " When Data.lumiMask is not specified, Data.runRange can not include more than 50000 runs."
raise ConfigurationException(msg)
lumi_list = LumiList(runs = run_list)
if lumi_list:
configArguments['runs'] = lumi_list.getRuns()
## For each run we encode the lumis as a string representing a list of integers: [[1,2],[5,5]] ==> '1,2,5,5'
lumi_mask = lumi_list.getCompactList()
configArguments['lumis'] = [str(reduce(lambda x,y: x+y, lumi_mask[run]))[1:-1].replace(' ','') for run in configArguments['runs']]
configArguments['jobtype'] = 'Analysis'
return tarFilename, configArguments, isbchecksum
def run(self, requestConfig):
"""
Override run() for JobType
"""
configArguments = {
'addoutputfiles': [],
'adduserfiles': [],
'tfileoutfiles': [],
'edmoutfiles': [],
}
# Get SCRAM environment
scram = ScramEnvironment(logger=self.logger)
configArguments.update({
'jobarch': scram.scramArch,
'jobsw': scram.cmsswVersion,
})
# Build tarball
if self.workdir:
tarFilename = os.path.join(
self.workdir,
PandaInterface.wrappedUuidGen() + 'default.tgz')
cfgOutputName = os.path.join(self.workdir, 'CMSSW_cfg.py')
else:
_dummy, tarFilename = tempfile.mkstemp(suffix='.tgz')
_dummy, cfgOutputName = tempfile.mkstemp(suffix='_cfg.py')
#configArguments['userisburl'] = 'https://'+ self.config.General.ufccacheUrl + '/crabcache/file?hashkey=' + uploadResults['hashkey']#XXX hardcoded
#configArguments['userisburl'] = 'INSERTuserisburl'#XXX hardcoded
if getattr(self.config.Data, 'inputDataset', None):
configArguments['inputdata'] = self.config.Data.inputDataset
# configArguments['ProcessingVersion'] = getattr(self.config.Data, 'processingVersion', None)
# Create CMSSW config
self.logger.debug("self.config: %s" % self.config)
self.logger.debug("self.config.JobType.psetName: %s" %
self.config.JobType.psetName)
cmsswCfg = CMSSWConfig(config=self.config,
logger=self.logger,
userConfig=self.config.JobType.psetName)
# Interogate CMSSW config and user config for output file names, for now no use for edmFiles or TFiles here.
analysisFiles, edmFiles = cmsswCfg.outputFiles()
self.logger.debug("TFiles %s and EDM Files %s will be collected" %
(analysisFiles, edmFiles))
configArguments['tfileoutfiles'] = analysisFiles
configArguments['edmoutfiles'] = edmFiles
outputFiles = getattr(self.config.JobType, 'outputFiles', [])
self.logger.debug("User files %s will be collected" % outputFiles)
configArguments['addoutputfiles'].extend(outputFiles)
# Write out CMSSW config
cmsswCfg.writeFile(cfgOutputName)
with UserTarball(name=tarFilename,
logger=self.logger,
config=self.config) as tb:
inputFiles = getattr(self.config.JobType, 'inputFiles', [])
tb.addFiles(userFiles=inputFiles, cfgOutputName=cfgOutputName)
configArguments['adduserfiles'] = [
os.path.basename(f) for f in inputFiles
]
uploadResults = tb.upload()
self.logger.debug("Result uploading input files: %s " %
str(uploadResults))
configArguments['cachefilename'] = uploadResults[1]
configArguments['cacheurl'] = uploadResults[0]
isbchecksum = uploadResults[2]
# Upload lumi mask if it exists
lumiMaskName = getattr(self.config.Data, 'lumiMask', None)
if lumiMaskName:
self.logger.debug("Attaching lumi mask %s to the request" %
lumiMaskName)
lumiDict = getLumiMask(config=self.config, logger=self.logger)
configArguments['runs'] = lumiDict.keys()
#for each run we'll encode the lumis as a string representing a list of integers
#[[1,2],[5,5]] ==> '1,2,5,5'
configArguments['lumis'] = [ str(reduce(lambda x,y: x+y, \
lumiDict[run]))[1:-1].replace(' ','') \
for run in configArguments['runs'] ]
configArguments['jobtype'] = 'Analysis'
return tarFilename, configArguments, isbchecksum
def run(self, requestConfig):
"""
Override run() for JobType
"""
configArguments = {
'addoutputfiles': [],
'adduserfiles': [],
'tfileoutfiles': [],
'edmoutfiles': [],
}
# Get SCRAM environment
scram = ScramEnvironment(logger=self.logger)
configArguments.update({
'jobarch': scram.scramArch,
'jobsw': scram.cmsswVersion,
})
# Build tarball
if self.workdir:
tarUUID = PandaInterface.wrappedUuidGen()
self.logger.debug('UNIQUE NAME: tarUUID %s ' % tarUUID)
if len(tarUUID):
tarFilename = os.path.join(self.workdir,
tarUUID + 'default.tgz')
cfgOutputName = os.path.join(self.workdir, 'CMSSW_cfg.py')
else:
raise EnvironmentException(
'Problem with uuidgen while preparing for Sandbox upload.')
else:
_dummy, tarFilename = tempfile.mkstemp(suffix='.tgz')
_dummy, cfgOutputName = tempfile.mkstemp(suffix='_cfg.py')
#configArguments['userisburl'] = 'https://'+ self.config.General.ufccacheUrl + '/crabcache/file?hashkey=' + uploadResults['hashkey']#XXX hardcoded
#configArguments['userisburl'] = 'INSERTuserisburl'#XXX hardcoded
if getattr(self.config.Data, 'inputDataset', None):
configArguments['inputdata'] = self.config.Data.inputDataset
# configArguments['ProcessingVersion'] = getattr(self.config.Data, 'processingVersion', None)
# Create CMSSW config
self.logger.debug("self.config: %s" % self.config)
self.logger.debug("self.config.JobType.psetName: %s" %
self.config.JobType.psetName)
cmsswCfg = CMSSWConfig(config=self.config,
logger=self.logger,
userConfig=self.config.JobType.psetName)
## Interogate CMSSW config and user config for output file names. For now no use for EDM files or TFiles here.
edmfiles, tfiles = cmsswCfg.outputFiles()
addoutputFiles = [
re.sub(r'^file:', '', file)
for file in getattr(self.config.JobType, 'outputFiles', [])
if re.sub(r'^file:', '', file) not in edmfiles + tfiles
]
self.logger.debug(
"The following EDM output files will be collected: %s" % edmfiles)
self.logger.debug(
"The following TFile output files will be collected: %s" % tfiles)
self.logger.debug(
"The following user output files will be collected: %s" %
addoutputFiles)
configArguments['edmoutfiles'] = edmfiles
configArguments['tfileoutfiles'] = tfiles
configArguments['addoutputfiles'].extend(addoutputFiles)
# Write out CMSSW config
cmsswCfg.writeFile(cfgOutputName)
with UserTarball(name=tarFilename,
logger=self.logger,
config=self.config) as tb:
inputFiles = [
re.sub(r'^file:', '', file)
for file in getattr(self.config.JobType, 'inputFiles', [])
]
tb.addFiles(userFiles=inputFiles, cfgOutputName=cfgOutputName)
configArguments['adduserfiles'] = [
os.path.basename(f) for f in inputFiles
]
uploadResults = tb.upload()
self.logger.debug("Result uploading input files: %s " %
str(uploadResults))
configArguments['cachefilename'] = uploadResults[1]
configArguments['cacheurl'] = uploadResults[0]
isbchecksum = uploadResults[2]
# Upload list of user-defined input files to process as the primary input
userFileName = getattr(self.config.Data, 'userInputFile', None)
if userFileName:
self.logger.debug(
"Attaching a list of user-specified primary input files from %s."
% userFileName)
fnames = []
for fname in open(userFileName).readlines():
fnames.append(fname.strip())
configArguments['userfiles'] = filter(
lambda x: x, fnames) #removing whitelines and empty objects
primDS = getattr(self.config.Data, 'primaryDataset', None)
if primDS:
# Normalizes "foo/bar" and "/foo/bar" to "/foo/bar"
primDS = "/" + os.path.join(*primDS.split("/"))
if not re.match("/%(primDS)s.*" % lfnParts, primDS):
self.logger.warning(
"Invalid primary dataset name %s for private MC; publishing may fail"
% primDS)
configArguments['inputdata'] = primDS
else:
configArguments['inputdata'] = getattr(self.config.Data,
'inputDataset',
'/CRAB_UserFiles')
lumi_mask_name = getattr(self.config.Data, 'lumiMask', None)
lumi_list = None
if lumi_mask_name:
self.logger.debug("Attaching lumi mask %s to the request" %
lumi_mask_name)
lumi_list = getLumiList(lumi_mask_name, logger=self.logger)
run_ranges = getattr(self.config.Data, 'runRange', None)
run_ranges_is_valid = run_ranges is not None and isinstance(
run_ranges, str) and re.match('^\d+((?!(-\d+-))(\,|\-)\d+)*$',
run_ranges)
if run_ranges_is_valid:
run_list = getRunList(run_ranges)
if lumi_list:
lumi_list.selectRuns(run_list)
else:
if len(run_list) > 50000:
msg = "Data.runRange includes %s runs." % str(
len(run_list))
msg += " When Data.lumiMask is not specified, Data.runRange can not include more than 50000 runs."
raise ConfigurationException(msg)
lumi_list = LumiList(runs=run_list)
if lumi_list:
configArguments['runs'] = lumi_list.getRuns()
## For each run we encode the lumis as a string representing a list of integers: [[1,2],[5,5]] ==> '1,2,5,5'
lumi_mask = lumi_list.getCompactList()
configArguments['lumis'] = [
str(reduce(lambda x, y: x + y,
lumi_mask[run]))[1:-1].replace(' ', '')
for run in configArguments['runs']
]
configArguments['jobtype'] = 'Analysis'
return tarFilename, configArguments, isbchecksum