]))
Script.parseCommandLine()
args = Script.getPositionalArgs()
if not len(args) == 2:
Script.showHelp()
try:
prodID = int(args[0])
except:
Script.showHelp()
filetype = args[1]
from LHCbDIRAC.BookkeepingSystem.Client.BookkeepingClient import BookkeepingClient
client = BookkeepingClient()
res = client.getProductionFiles(prodID, filetype)
if not res['OK']:
print 'ERROR: Failed to retrieve production files: %s' % res['Message']
else:
if not res['Value']:
print 'No files found for production %s with type %s' % (prodID,
filetype)
else:
print '%s %s %s %s %s' % ('FileName'.ljust(100), 'Size'.ljust(10),
'GUID'.ljust(40), 'Replica'.ljust(8),
'Visible'.ljust(8))
for lfn in sorted(res['Value']):
size = res['Value'][lfn]['FileSize']
guid = res['Value'][lfn]['GUID']
hasReplica = res['Value'][lfn]['GotReplica']
########################################################################
"""
List simulation conditions from the Bookkeeping
"""
__RCSID__ = "$Id$"
import DIRAC
from DIRAC.Core.Base import Script
Script.setUsageMessage('\n'.join([
__doc__.split('\n')[1], 'Usage:',
' %s [option|cfgfile] ...' % Script.scriptName
]))
Script.parseCommandLine(ignoreErrors=True)
from LHCbDIRAC.BookkeepingSystem.Client.BookkeepingClient import BookkeepingClient
bk = BookkeepingClient()
exitCode = 0
res = bk.getSimConditions()
if res['OK']:
dbresult = res['Value']
for record in dbresult:
print 'SimId: ' + str(record[0]).ljust(10)
print ' SimDescription: ' + str(record[1]).ljust(10)
print ' BeamCond: ' + str(record[2]).ljust(10)
print ' BeamEnergy: ' + str(record[3]).ljust(10)
print ' Generator: ' + str(record[4]).ljust(10)
print ' MagneticField: ' + str(record[5]).ljust(10)
print ' DetectorCond: ' + str(record[6]).ljust(10)
print ' Luminosity: ' + str(record[7]).ljust(10)
print ' G4settings: ' + str(record[8]).ljust(10)
class DiracLHCb(Dirac):
#############################################################################
def __init__(self, withRepo=False, repoLocation='', operationsHelperIn=None):
"""Internal initialization of the DIRAC API.
"""
super(DiracLHCb, self).__init__(withRepo=withRepo, repoLocation=repoLocation)
self.tier1s = []
if not operationsHelperIn:
self.opsH = Operations()
else:
self.opsH = operationsHelperIn
self._bkQueryTemplate = {'SimulationConditions': 'All',
'DataTakingConditions': 'All',
'ProcessingPass': '******',
'FileType': 'All',
'EventType': 'All',
'ConfigName': 'All',
'ConfigVersion': 'All',
'Production': 0,
'StartRun': 0,
'EndRun': 0,
'DataQuality': 'All',
'Visible': 'Yes'}
self._bkClient = BookkeepingClient() # to expose all BK client methods indirectly
#############################################################################
def addRootFile(self, lfn, fullPath, diracSE, printOutput=False):
""" Add a Root file to Grid storage, an attempt is made to retrieve the
POOL GUID of the file prior to upload.
Example Usage:
>>> print dirac.addFile('/lhcb/user/p/paterson/myRootFile.tar.gz','myFile.tar.gz','CERN-USER')
{'OK': True, 'Value':{'Failed': {},
'Successful': {'/lhcb/user/p/paterson/test/myRootFile.tar.gz': {'put': 64.246301889419556,
'register': 1.1102778911590576}}}}
@param lfn: Logical File Name (LFN)
@type lfn: string
@param diracSE: DIRAC SE name e.g. CERN-USER
@type diracSE: strin
@param printOutput: Optional flag to print result
@type printOutput: boolean
@return: S_OK,S_ERROR
"""
return super(DiracLHCb, self).addFile(lfn, fullPath, diracSE,
fileGuid=makeGuid(fullPath)[fullPath],
printOutput=printOutput)
def addFile(self, lfn, fullPath, diracSE, printOutput=False): # pylint: disable=arguments-differ
""" Copy of addRootFile
"""
return super(DiracLHCb, self).addFile(lfn, fullPath, diracSE,
fileGuid=makeGuid(fullPath)[fullPath],
printOutput=printOutput)
def getBKAncestors(self, lfns, depth=1, replica=True):
""" This function allows to retrieve ancestor files from the Bookkeeping.
Example Usage:
>>> dirac.getBKAncestors('/lhcb/data/2009/DST/00005727/0000/00005727_00000042_1.dst',2)
{'OK': True, 'Value': ['/lhcb/data/2009/DST/00005727/0000/00005727_00000042_1.dst',
'/lhcb/data/2009/RAW/FULL/LHCb/COLLISION09/63807/063807_0000000004.raw']}
@param lfn: Logical File Name (LFN)
@type lfn: string or list
@param depth: Ancestor depth
@type depth: integer
"""
result = self._bkClient.getFileAncestors(lfns, depth, replica=replica)
if not result['OK']:
self.log.error('Could not get ancestors', result['Message'])
return result
ancestors = set(x['FileName'] for ancestors in result['Value']['Successful'].itervalues() for x in ancestors)
return S_OK(lfns + list(ancestors))
#############################################################################
def bkQueryRunsByDate(self, bkPath, startDate, endDate, dqFlag='All', selection='Runs'):
""" This function allows to create and perform a BK query given a supplied
BK path. The following BK path convention is expected:
/<ConfigurationName>/<Configuration Version>/<Condition Description><Processing Pass>/<Event Type>/<File Type>
so an example for 2016 collisions data would be:
/LHCb/Collision09//LHCb/Collision16/Beam6500GeV-VeloClosed-MagDown/Real Data/Reco16/Stripping26/90000000/EW.DST
The startDate and endDate must be specified as yyyy-mm-dd.
Runs can be selected based on their status e.g. the selection parameter
has the following possible attributes:
- Runs - data for all runs in the range are queried (default)
- ProcessedRuns - data is retrieved for runs that are processed
- NotProcessed - data is retrieved for runs that are not yet processed.
Example Usage:
>>> dirac.bkQueryRunsByDate('/LHCb/Collision16//Real Data/90000000/RAW',
'2016-08-20','2016-08-22',dqFlag='OK',selection='Runs')
{'OK': True, 'Value': [<LFN1>,<LFN2>]}
dirac.bkQueryRunsByDate('/LHCb/Collision16/Beam6500GeV-VeloClosed-MagDown/Real'
'Data/Reco16/Stripping26/90000000/EW.DST',
'2016-08-20','2016-08-22',dqFlag='OK',selection='Runs')
@param bkPath: BK path as described above
@type bkPath: string
@param dqFlag: Optional Data Quality flag
@type dqFlag: string
@param startDate: Start date yyyy-mm-dd
@param startDate: string
@param endDate: End date yyyy-mm-dd
@param endDate: string
@param selection: Either Runs, ProcessedRuns or NotProcessed
@param selection: string
@return: S_OK,S_ERROR
"""
runSelection = ['Runs', 'ProcessedRuns', 'NotProcessed']
if selection not in runSelection:
return S_ERROR('Expected one of %s not "%s" for selection' % (', '.join(runSelection), selection))
if not isinstance(bkPath, str):
return S_ERROR('Expected string for bkPath')
# remove any double slashes, spaces must be preserved
# remove any empty components from leading and trailing slashes
bkQuery = BKQuery().buildBKQuery(bkPath)
if not bkQuery:
return S_ERROR(
'Please provide a BK path: '
'/<ConfigurationName>/<Configuration Version>/<Condition Description>/<Processing Pass>'
'/<Event Type>/<File Type>')
if not startDate or not endDate:
return S_ERROR('Expected both start and end dates to be defined in format: yyyy-mm-dd')
if not isinstance(startDate, str) or not isinstance(endDate, str):
return S_ERROR('Expected yyyy-mm-dd string for start and end dates')
if not len(startDate.split('-')) == 3 or not len(endDate.split('-')) == 3:
return S_ERROR('Expected yyyy-mm-dd string for start and end dates')
start = time.time()
result = self._bkClient.getRunsForAGivenPeriod({'StartDate': startDate, 'EndDate': endDate})
rtime = time.time() - start
self.log.info('BK query time: %.2f sec' % rtime)
if not result['OK']:
self.log.info('Could not get runs with given dates from BK with result: "%s"' % result)
return result
if not result['Value']:
self.log.info('No runs selected from BK for specified dates')
return result
if selection not in result['Value']:
return S_ERROR('No %s runs for specified dates' % (selection))
runs = result['Value'][selection]
self.log.info('Found the following %s runs:\n%s' % (len(runs), ', '.join([str(i) for i in runs])))
# temporary until we can query for a discrete list of runs
selectedData = []
for run in runs:
query = bkQuery.copy()
query['StartRun'] = run
query['EndRun'] = run
query['CheckRunStatus'] = True if selection in ['ProcessedRuns', 'NotProcessed'] else False
if dqFlag:
check = self.__checkDQFlags(dqFlag)
if not check['OK']:
return check
dqFlag = check['Value']
query['DataQuality'] = dqFlag
start = time.time()
result = self._bkClient.getVisibleFilesWithMetadata(query)
rtime = time.time() - start
self.log.info('BK query time: %.2f sec' % rtime)
self.log.verbose(result)
if not result['OK']:
return result
self.log.info('Selected %s files for run %s' % (len(result['Value']), run))
if result['Value']['LFNs']:
selectedData += result['Value']['LFNs'].keys()
self.log.info('Total files selected = %s' % (len(selectedData)))
return S_OK(selectedData)
#############################################################################
def bkQueryRun(self, bkPath, dqFlag='All'):
""" This function allows to create and perform a BK query given a supplied
BK path. The following BK path convention is expected:
/<Run Number>/<Processing Pass>/<Event Type>/<File Type>
so an example for 2009 collisions data would be:
/63566/Real Data + RecoToDST-07/90000000/DST
In addition users can specify a range of runs using the following convention:
/<Run Number 1> - <Run Number 2>/<Processing Pass>/<Event Type>/<File Type>
so extending the above example this would look like:
/63566-63600/Real Data + RecoToDST-07/90000000/DST
Example Usage:
>>> dirac.bkQueryRun('/63566/Real Data/RecoToDST-07/90000000/DST')
{'OK':True,'Value': ['/lhcb/data/2009/DST/00005842/0000/00005842_00000008_1.dst']}
@param bkPath: BK path as described above
@type bkPath: string
@param dqFlag: Optional Data Quality flag
@type dqFlag: string
@return: S_OK,S_ERROR
"""
if not isinstance(bkPath, str):
return S_ERROR('Expected string for bkPath')
# remove any double slashes, spaces must be preserved
# remove any empty components from leading and trailing slashes
bkPath = translateBKPath(bkPath, procPassID=1)
if not len(bkPath) == 4:
return S_ERROR('Expected 4 components to the BK path: /<Run Number>/<Processing Pass>/<Event Type>/<File Type>')
runNumberString = bkPath[0].replace('--', '-').replace(' ', '')
startRun = 0
endRun = 0
if '-' in runNumberString:
runs = runNumberString.split('-')
if len(runs) != 2:
return S_ERROR('Could not determine run range from "%s", try "<Run 1> - <Run2>"' % (runNumberString))
try:
start = int(runs[0])
end = int(runs[1])
except Exception:
return S_ERROR('Invalid run range: %s' % runNumberString)
startRun = min(start, end)
endRun = max(start, end)
else:
try:
startRun = int(runNumberString)
endRun = startRun
except Exception:
return S_ERROR('Invalid run number: %s' % runNumberString)
query = self._bkQueryTemplate.copy()
query['StartRun'] = startRun
query['EndRun'] = endRun
query['ProcessingPass'] = bkPath[1]
query['EventType'] = bkPath[2]
query['FileType'] = bkPath[3]
if dqFlag:
check = self.__checkDQFlags(dqFlag)
if not check['OK']:
return check
dqFlag = check['Value']
query['DataQuality'] = dqFlag
result = self.bkQuery(query)
self.log.verbose(result)
return result
#############################################################################
def bkQueryProduction(self, bkPath, dqFlag='All'):
""" This function allows to create and perform a BK query given a supplied
BK path. The following BK path convention is expected:
/<ProductionID>/[<Processing Pass>/<Event Type>/]<File Type>
so an example for 2009 collisions data would be:
/5842/Real Data + RecoToDST-07/90000000/DST
Note that neither the processing pass nor the event type should be necessary. So either of them can be omitted
a data quality flag can also optionally be provided, the full list of these is available
via the getAllDQFlags() method.
Example Usage:
>>> dirac.bkQueryProduction('/5842/Real Data/RecoToDST-07/90000000/DST')
{'OK': True, 'Value': [<LFN1>,<LFN2>]}
@param bkPath: BK path as described above
@type bkPath: string
@param dqFlag: Optional Data Quality flag
@type dqFlag: string
@return: S_OK,S_ERROR
"""
if not isinstance(bkPath, str):
return S_ERROR('Expected string for bkPath')
# remove any double slashes, spaces must be preserved
# remove any empty components from leading and trailing slashes
bkPath = translateBKPath(bkPath, procPassID=1)
if len(bkPath) < 2:
return S_ERROR('Invalid bkPath: should at least contain /ProductionID/FileType')
query = self._bkQueryTemplate.copy()
try:
query['Production'] = int(bkPath[0])
except Exception:
return S_ERROR('Invalid production ID')
query['FileType'] = bkPath[-1]
if dqFlag:
check = self.__checkDQFlags(dqFlag)
if not check['OK']:
return check
dqFlag = check['Value']
query['DataQuality'] = dqFlag
for key, val in query.items():
if isinstance(val, basestring) and val.lower() == 'all':
query.pop(key)
result = self.bkQuery(query)
self.log.verbose(result)
return result
#############################################################################
def bkQueryPath(self, bkPath, dqFlag='All'):
""" This function allows to create and perform a BK query given a supplied
BK path. The following BK path convention is expected:
/<ConfigurationName>/<Configuration Version>/<Sim or Data Taking Condition>
/<Processing Pass>/<Event Type>/<File Type>
so an example for 2009 collsions data would be:
/LHCb/Collision09/Beam450GeV-VeloOpen-MagDown/Real Data + RecoToDST-07/90000000/DST
or for MC09 simulated data:
/MC/2010/Beam3500GeV-VeloClosed-MagDown-Nu1/2010-Sim01Reco01-withTruth/27163001/DST
a data quality flag can also optionally be provided, the full list of these is available
via the getAllDQFlags() method.
Example Usage:
>>> dirac.bkQueryPath('/MC/2010/Beam3500GeV-VeloClosed-MagDown-Nu1/Sim07/Reco06-withTruth/10012004/DST')
{'OK': True, 'Value': [<LFN1>,<LFN2>]}
@param bkPath: BK path as described above
@type bkPath: string
@param dqFlag: Optional Data Quality flag
@type dqFlag: string
@return: S_OK,S_ERROR
"""
if not isinstance(bkPath, str):
return S_ERROR('Expected string for bkPath')
# remove any double slashes, spaces must be preserved
# remove any empty components from leading and trailing slashes
bkPath = translateBKPath(bkPath, procPassID=3)
if not len(bkPath) == 6:
return S_ERROR('Expected 6 components to the BK path: '
'/<ConfigurationName>/<Configuration Version>/<Sim or Data Taking Condition>'
'/<Processing Pass>/<Event Type>/<File Type>')
query = self._bkQueryTemplate.copy()
query['ConfigName'] = bkPath[0]
query['ConfigVersion'] = bkPath[1]
query['ProcessingPass'] = bkPath[3]
query['EventType'] = bkPath[4]
query['FileType'] = bkPath[5]
if dqFlag:
check = self.__checkDQFlags(dqFlag)
if not check['OK']:
return check
dqFlag = check['Value']
query['DataQuality'] = dqFlag
# The problem here is that we don't know if it's a sim or data taking condition,
# assume that if configName=MC this is simulation
if bkPath[0].lower() == 'mc':
query['SimulationConditions'] = bkPath[2]
else:
query['DataTakingConditions'] = bkPath[2]
result = self.bkQuery(query)
self.log.verbose(result)
return result
#############################################################################
def bookkeepingQuery(self, SimulationConditions='All', DataTakingConditions='All',
ProcessingPass='******', FileType='All', EventType='All', ConfigName='All',
ConfigVersion='All', ProductionID=0, DataQuality='ALL'):
""" This function will create and perform a BK query using the supplied arguments
and return a list of LFNs.
Example Usage:
>>> dirac.bookkeepingQuery(ConfigName='LHCb',ConfigVersion='Collision09',
EventType='90000000',ProcessingPass='******',DataTakingConditions='Beam450GeV-VeloOpen-MagDown')
{'OK':True,'Value':<files>}
@param ConfigName: BK ConfigName
@type ConfigName: string
@param EventType: BK EventType
@type EventType: string
@param FileType: BK FileType
@type FileType: string
@param ProcessingPass: BK ProcessingPass
@type ProcessingPass: string
@param ProductionID: BK ProductionID
@type ProductionID: integer
@param DataQuality: BK DataQuality
@type DataQuality: string
@param ConfigVersion: BK ConfigVersion
@type ConfigVersion: string
@param DataTakingConditions: BK DataTakingConditions
@type DataTakingConditions: string
@param SimulationConditions: BK SimulationConditions
@type SimulationConditions: string
@return: S_OK,S_ERROR
"""
query = self._bkQueryTemplate.copy()
query['SimulationConditions'] = SimulationConditions
query['DataTakingConditions'] = DataTakingConditions
query['ProcessingPass'] = ProcessingPass
query['FileType'] = FileType
query['EventType'] = EventType
query['ConfigName'] = ConfigName
query['ConfigVersion'] = ConfigVersion
query['Production'] = ProductionID
query['DataQuality'] = DataQuality
return self.bkQuery(query)
#############################################################################
def bkQuery(self, bkQueryDict):
""" Developer function. Perform a query to the LHCb Bookkeeping to return
a list of LFN(s). This method takes a BK query dictionary.
Example Usage:
>>> print dirac.bkQuery(query)
{'OK':True,'Value':<files>}
@param bkQueryDict: BK query
@type bkQueryDict: dictionary (see bookkeepingQuery() for keys)
@return: S_OK,S_ERROR
"""
problematicFields = []
# Remove the Visible flag as anyway the method is for visible files ;-)
# bkQueryDict.setdefault( 'Visible', 'Yes' )
for name, value in bkQueryDict.items():
if name not in self._bkQueryTemplate:
problematicFields.append(name)
if problematicFields:
msg = 'The following fields are not valid for a BK query: %s\nValid fields include: %s' % \
(', '.join(problematicFields), ', '.join(self._bkQueryTemplate.keys()))
return S_ERROR(msg)
for name, value in bkQueryDict.items():
if name == "Production" or name == "EventType" or name == "StartRun" or name == "EndRun":
if value == 0:
del bkQueryDict[name]
else:
bkQueryDict[name] = str(value)
elif name == "FileType":
if value.lower() == "all":
bkQueryDict[name] = 'ALL'
else:
if str(value).lower() == "all":
del bkQueryDict[name]
if 'Production' in bkQueryDict or 'StartRun' in bkQueryDict or 'EndRun' in bkQueryDict:
self.log.verbose('Found a specific query so loosening some restrictions to prevent BK overloading')
else:
if 'SimulationConditions' not in bkQueryDict and 'DataTakingConditions' not in bkQueryDict:
return S_ERROR('A Simulation or DataTaking Condition must be specified for a BK query.')
if 'EventType' not in bkQueryDict and 'ConfigName' not in bkQueryDict and 'ConfigVersion' not in bkQueryDict:
return S_ERROR(
'The minimal set of BK fields for a query is: EventType, ConfigName and ConfigVersion'
' in addition to a Simulation or DataTaking Condition')
self.log.verbose('Final BK query dictionary is:')
for item in bkQueryDict.iteritems():
self.log.verbose('%s : %s' % item)
start = time.time()
result = self._bkClient.getVisibleFilesWithMetadata(bkQueryDict)
# result = bk.getFilesWithGivenDataSets(bkQueryDict)
rtime = time.time() - start
self.log.info('BK query time: %.2f sec' % rtime)
if not result['OK']:
return S_ERROR('BK query returned an error: "%s"' % (result['Message']))
if not result['Value']:
return self._errorReport('No BK files selected')
returnedFiles = len(result['Value'])
self.log.verbose('%s files selected from the BK' % (returnedFiles))
return result
#############################################################################
def __checkDQFlags(self, flags):
""" Internal function. Checks the provided flags against the list of
possible DQ flag statuses from the Bookkeeping.
"""
dqFlags = []
if isinstance(flags, list):
dqFlags = flags
else:
dqFlags = [flags]
bkFlags = self.getAllDQFlags()
if not bkFlags['OK']:
return bkFlags
final = []
for flag in dqFlags:
if flag.lower() == 'all':
final.append(flag.upper())
else:
flag = flag.upper()
if flag not in bkFlags['Value']:
msg = 'Specified DQ flag "%s" is not in allowed list: %s' % (flag, ', '.join(bkFlags['Value']))
self.log.error(msg)
return S_ERROR(msg)
else:
final.append(flag)
# when first coding this it was not possible to use a list ;)
if len(final) == 1:
final = final[0]
return S_OK(final)
#############################################################################
def getAllDQFlags(self, printOutput=False):
""" Helper function. Returns the list of possible DQ flag statuses
from the Bookkeeping.
Example Usage:
>>> print dirac.getAllDQFlags()
{'OK':True,'Value':<flags>}
@param printOutput: Optional flag to print result
@type printOutput: boolean
@return: S_OK,S_ERROR
"""
result = self._bkClient.getAvailableDataQuality()
if not result['OK']:
self.log.error('Could not obtain possible DQ flags from BK with result:\n%s' % (result))
return result
if printOutput:
flags = result['Value']
self.log.info('Possible DQ flags from BK are: %s' % (', '.join(flags)))
return result
#############################################################################
def getDataByRun(self, lfns, printOutput=False):
"""Sort the supplied lfn list by run. An S_OK object will be returned
containing a dictionary of runs and the corresponding list of LFN(s)
associated with them.
Example usage:
>>> print dirac.getDataByRun(lfns)
{'OK': True, 'Value': {<RUN>:['<LFN>','<LFN>',...], <RUN>:['<LFN>',..]}}
@param lfns: Logical File Name(s)
@type lfns: list
@param printOutput: Optional flag to print result
@type printOutput: boolean
@return: S_OK,S_ERROR
"""
if isinstance(lfns, str):
lfns = [lfns.replace('LFN:', '')]
elif isinstance(lfns, list):
try:
lfns = [str(lfn.replace('LFN:', '')) for lfn in lfns]
except ValueError as x:
return self._errorReport(str(x), 'Expected strings for LFNs')
else:
return self._errorReport('Expected single string or list of strings for LFN(s)')
runDict = {}
start = time.time()
result = self._bkClient.getFileMetadata(lfns)
self.log.verbose("Obtained BK file metadata in %.2f seconds" % (time.time() - start))
if not result['OK']:
self.log.error('Failed to get bookkeeping metadata with result "%s"' % (result['Message']))
return result
for lfn, metadata in result['Value']['Successful'].items():
if 'RunNumber' in metadata:
runNumber = metadata['RunNumber']
runDict.setdefault(runNumber, []).append(lfn)
else:
self.log.warn('Could not find run number from BK for %s' % (lfn))
if printOutput:
self.log.notice(self.pPrint.pformat(runDict))
return S_OK(runDict)
#############################################################################
def bkMetadata(self, lfns, printOutput=False):
"""Return metadata for the supplied lfn list. An S_OK object will be returned
containing a dictionary of LFN(s) and the corresponding metadata associated
with them.
Example usage:
>>> print dirac.bkMetadata(lfns)
{'OK': True, 'Value': {<LFN>:{'<Name>':'<Value>',...},...}}
@param lfns: Logical File Name(s)
@type lfns: list
@param printOutput: Optional flag to print result
@type printOutput: boolean
@return: S_OK,S_ERROR
"""
if isinstance(lfns, str):
lfns = [lfns.replace('LFN:', '')]
elif isinstance(lfns, list):
try:
lfns = [str(lfn.replace('LFN:', '')) for lfn in lfns]
except ValueError as x:
return self._errorReport(str(x), 'Expected strings for LFNs')
else:
return self._errorReport('Expected single string or list of strings for LFN(s)')
start = time.time()
result = self._bkClient.getFileMetadata(lfns)
self.log.verbose("Obtained BK file metadata in %.2f seconds" % (time.time() - start))
if not result['OK']:
self.log.error('Failed to get bookkeeping metadata with result "%s"' % (result['Message']))
return result
if printOutput:
self.log.notice(self.pPrint.pformat(result['Value']))
return result
#############################################################################
def lhcbProxyInit(self, *args): # pylint: disable=no-self-use
""" just calling the dirac-proxy-init script
"""
os.system("dirac-proxy-init -o LogLevel=NOTICE -t --rfc %s" % "' '".join(args))
#############################################################################
def lhcbProxyInfo(self, *args): # pylint: disable=no-self-use
""" just calling the dirac-proxy-info script
"""
os.system("dirac-proxy-info -o LogLevel=NOTICE %s" % "' '".join(args))
#############################################################################
def gridWeather(self, printOutput=False):
"""This method gives a snapshot of the current Grid weather from the perspective
of the DIRAC site and SE masks. Tier-1 sites are returned with more detailed
information.
Example usage:
>>> print dirac.gridWeather()
{'OK': True, 'Value': {{'Sites':<siteInfo>,'SEs':<seInfo>,'Tier-1s':<tierInfo>}}
@param printOutput: Optional flag to print result
@type printOutput: boolean
@return: S_OK,S_ERROR
"""
lcgSites = gConfig.getSections('/Resources/Sites/LCG')
if not lcgSites['OK']:
return lcgSites
for lcgSite in lcgSites['Value']:
tier = gConfig.getValue('/Resources/Sites/LCG/%s/MoUTierLevel' % lcgSite, 2)
if tier in (0, 1):
self.tier1s.append(lcgSite)
siteInfo = self.checkSites()
if not siteInfo['OK']:
return siteInfo
siteInfo = siteInfo['Value']
seInfo = self.checkSEs()
if not seInfo['OK']:
return seInfo
seInfo = seInfo['Value']
tierSEs = {}
for site in self.tier1s:
tierSEs[site] = getSEsForSite(site)['Value']
tierInfo = {}
for site, seList in tierSEs.items():
tierInfo[site] = {}
for se in seList:
if se in seInfo:
tierSEInfo = seInfo[se]
tierInfo[site][se] = tierSEInfo
if site in siteInfo['AllowedSites']:
tierInfo[site]['MaskStatus'] = 'Allowed'
else:
tierInfo[site]['MaskStatus'] = 'Banned'
if printOutput:
self.log.notice('========> Tier-1 status in DIRAC site and SE masks')
for site in sorted(self.tier1s):
self.log.notice('\n====> %s is %s in site mask\n' % (site, tierInfo[site]['MaskStatus']))
self.log.notice('%s %s %s' % ('Storage Element'.ljust(25), 'Read Status'.rjust(15), 'Write Status'.rjust(15)))
for se in sorted(tierSEs[site]):
if se in tierInfo[site]:
self.log.notice('%s %s %s' % (se.ljust(25),
tierInfo[site][se]['ReadStatus'].rjust(15),
tierInfo[site][se]['WriteStatus'].rjust(15))
)
self.log.notice('\n========> Tier-2 status in DIRAC site mask\n')
allowedSites = siteInfo['AllowedSites']
bannedSites = siteInfo['BannedSites']
for site in self.tier1s:
if site in allowedSites:
allowedSites.remove(site)
if site in bannedSites:
bannedSites.remove(site)
self.log.notice(' %s sites are in the site mask, %s are banned.\n' % (len(allowedSites), len(bannedSites)))
summary = {'Sites': siteInfo, 'SEs': seInfo, 'Tier-1s': tierInfo}
return S_OK(summary)
#############################################################################
def checkSites(self, printOutput=False): # pylint: disable=no-self-use
"""Return the list of sites in the DIRAC site mask and those which are banned.
Example usage:
>>> print dirac.checkSites()
{'OK': True, 'Value': {'AllowedSites':['<Site>',...],'BannedSites':[]}
@param printOutput: Optional flag to print result
@type printOutput: boolean
@return: S_OK,S_ERROR
"""
res = getSites()
if not res['OK']:
self.log.error('Could not get list of sites from CS', res['Message'])
return res
totalList = res['Value']
res = DiracAdmin().getSiteMask()
if not res['OK']:
return res
sites = res['Value']
bannedSites = []
for site in totalList:
if site not in sites:
bannedSites.append(site)
if printOutput:
self.log.notice('\n========> Allowed Sites\n')
self.log.notice('\n'.join(sites))
self.log.notice('\n========> Banned Sites\n')
self.log.notice('\n'.join(bannedSites))
self.log.notice('\nThere is a total of %s allowed sites and %s banned sites in the system.' % (len(sites),
len(bannedSites)))
return S_OK({'AllowedSites': sites, 'BannedSites': bannedSites})
#############################################################################
def checkSEs(self, printOutput=False): # pylint: disable=no-self-use
"""Check the status of read and write operations in the DIRAC SE mask.
Example usage:
>>> print dirac.checkSEs()
{'OK': True, 'Value': {<LFN>:{'<Name>':'<Value>',...},...}}
@param printOutput: Optional flag to print result
@type printOutput: boolean
@return: S_OK,S_ERROR
"""
res = gConfig.getSections('/Resources/StorageElements', True)
if not res['OK']:
self.log.error('Failed to get storage element information', res['Message'])
return res
if printOutput:
self.log.notice('%s %s %s' % ('Storage Element'.ljust(25), 'Read Status'.rjust(15), 'Write Status'.rjust(15)))
seList = sorted(res['Value'])
result = {}
rss = ResourceStatus()
for se in seList:
res = rss.getElementStatus(se, 'StorageElement')
if not res['OK']:
self.log.error("Failed to get StorageElement status for %s" % se)
else:
readState = res['Value'].get('ReadAccess', 'Active')
writeState = res['Value'].get('WriteAccess', 'Active')
result[se] = {'ReadStatus': readState, 'WriteStatus': writeState}
if printOutput:
self.log.notice('%s %s %s' % (se.ljust(25), readState.rjust(15), writeState.rjust(15)))
return S_OK(result)
def splitInputDataBySize(self, lfns, maxSizePerJob=20, printOutput=False):
"""Split the supplied lfn list by the replicas present at the possible
destination sites, based on a maximum size.
An S_OK object will be returned containing a list of
lists in order to create the jobs.
Example usage:
>>> d.splitInputDataBySize(lfns,10)
{'OK': True, 'Value': [['<LFN>'], ['<LFN>']]}
@param lfns: Logical File Name(s) to split
@type lfns: list
@param maxSizePerJob: Maximum size (in GB) per bunch
@type maxSizePerJob: integer
@param printOutput: Optional flag to print result
@type printOutput: boolean
@return: S_OK,S_ERROR
"""
sitesForSE = {}
if isinstance(lfns, str):
lfns = [lfns.replace('LFN:', '')]
elif isinstance(lfns, list):
try:
lfns = [str(lfn.replace('LFN:', '')) for lfn in lfns]
except TypeError as x:
return self._errorReport(str(x), 'Expected strings for LFNs')
else:
return self._errorReport('Expected single string or list of strings for LFN(s)')
if not isinstance(maxSizePerJob, int):
try:
maxSizePerJob = int(maxSizePerJob)
except ValueError as x:
return self._errorReport(str(x), 'Expected integer for maxSizePerJob')
maxSizePerJob *= 1000 * 1000 * 1000
replicaDict = self.getReplicas(lfns)
if not replicaDict['OK']:
return replicaDict
replicas = replicaDict['Value']['Successful']
if not replicas:
return self._errorReport(replicaDict['Value']['Failed'].items()[0],
'Failed to get replica information')
siteLfns = {}
for lfn, reps in replicas.items():
possibleSites = set(site
for se in reps
for site in sitesForSE.setdefault(se, getSitesForSE(se).get('Value', [])))
siteLfns.setdefault(','.join(sorted(possibleSites)), []).append(lfn)
if '' in siteLfns:
# Some files don't have active replicas
return self._errorReport('No active replica found for', str(siteLfns['']))
# Get size of files
metadataDict = self.getLfnMetadata(lfns, printOutput)
if not metadataDict['OK']:
return metadataDict
fileSizes = dict((lfn, metadataDict['Value']['Successful'].get(lfn, {}).get('Size', maxSizePerJob))
for lfn in lfns)
lfnGroups = []
# maxSize is in GB
for files in siteLfns.values():
# Now get bunches of files,
# Sort in decreasing size
files.sort(cmp=(lambda f1, f2: fileSizes[f2] - fileSizes[f1]))
while files:
# print [( lfn, fileSizes[lfn] ) for lfn in files]
group = []
sizeTot = 0
for lfn in list(files):
size = fileSizes[lfn]
if size >= maxSizePerJob:
lfnGroups.append([lfn])
elif sizeTot + size < maxSizePerJob:
sizeTot += size
group.append(lfn)
files.remove(lfn)
if group:
lfnGroups.append(group)
if printOutput:
self.log.notice(self.pPrint.pformat(lfnGroups))
return S_OK(lfnGroups)
#############################################################################
def getAccessURL(self, lfn, storageElement, protocol=None, printOutput=False):
"""Allows to retrieve an access URL for an LFN replica given a valid DIRAC SE
name. Contacts the file catalog and contacts the site SRM endpoint behind
the scenes.
Example Usage:
>>> print dirac.getAccessURL('/lhcb/data/CCRC08/DST/00000151/0000/00000151_00004848_2.dst','CERN-RAW')
{'OK': True, 'Value': {'Successful': {'srm://...': {'SRM2': 'rfio://...'}}, 'Failed': {}}}
:param lfn: Logical File Name (LFN)
:type lfn: str or python:list
:param storageElement: DIRAC SE name e.g. CERN-RAW
:type storageElement: string
:param printOutput: Optional flag to print result
:type printOutput: boolean
:returns: S_OK,S_ERROR
"""
ret = self._checkFileArgument(lfn, 'LFN')
if not ret['OK']:
return ret
lfn = ret['Value']
if isinstance(lfn, basestring):
lfn = [lfn]
results = getAccessURL(lfn, storageElement, protocol=protocol)
if printOutput:
printDMResult(results, empty="File not at SE", script="dirac-dms-lfn-accessURL")
return results
#############################################################################
def _getLocalInputData(self, parameters):
""" LHCb extension of DIRAC API's _getLocalInputData. Only used for handling ancestors.
"""
inputData = parameters.get('InputData')
if inputData:
self.log.debug("DiracLHCb._getLocalInputData. InputData: %s" % inputData)
if isinstance(inputData, basestring):
inputData = inputData.split(';')
inputData = [lfn.strip('LFN:') for lfn in inputData]
ancestorsDepth = int(parameters.get('AncestorDepth', 0))
if ancestorsDepth:
self.log.debug("DiracLHCb._getLocalInputData. ancestorsDepth: %d" % ancestorsDepth)
res = self._bkClient.getFileAncestors(inputData, ancestorsDepth)
if not res['OK']:
self.log.error("Can't get ancestors", res['Message'])
return res
ancestorsLFNs = []
for ancestorsLFN in res['Value']['Successful'].itervalues():
ancestorsLFNs += [i['FileName'] for i in ancestorsLFN]
self.log.info("DiracLHCb._getLocalInputData: adding %d ancestors" % len(ancestorsLFNs))
self.log.verbose("%s", ', '.join(ancestorsLFNs))
inputData += ancestorsLFNs
return S_OK(inputData)
transformation.setPlugin(plugin)
transformation.setBkQuery(bkQueryDict)
from LHCbDIRAC.TransformationSystem.Agent.TransformationPlugin import TransformationPlugin
transID = -9999
pluginParams['TransformationID'] = transID
pluginParams['Status'] = "Active"
pluginParams['Type'] = transType
# Create a fake transformation client
fakeClient = fakeClient(transformation, transID, lfns, asIfProd)
from LHCbDIRAC.BookkeepingSystem.Client.BookkeepingClient import BookkeepingClient
from DIRAC.DataManagementSystem.Client.DataManager import DataManager
oplugin = TransformationPlugin(plugin,
transClient=fakeClient,
dataManager=DataManager(),
bkClient=BookkeepingClient())
pluginParams['TransformationID'] = transID
pluginParams.update(pluginSEParams)
oplugin.setParameters(pluginParams)
replicas = fakeClient.getReplicas()
# Special case of RAW files registered in CERN-RDST...
if plugin == "AtomicRun":
for lfn in [lfn for lfn in replicas if "CERN-RDST" in replicas[lfn]]:
ses = {}
for se in replicas[lfn]:
pfn = replicas[lfn][se]
if se == "CERN-RDST":
se = "CERN-RAW"
ses[se] = pfn
replicas[lfn] = ses
files = fakeClient.getFiles()
import DIRAC
from DIRAC.Core.Base import Script
Script.setUsageMessage('\n'.join([
__doc__.split('\n')[1], 'Usage:',
' %s [option|cfgfile] ... LFN|File Flag' % Script.scriptName,
'Arguments:', ' LFN: Logical File Name',
' File: Name of the file with a list of LFNs',
' Flag: Quality Flag'
]))
Script.parseCommandLine(ignoreErrors=True)
args = Script.getPositionalArgs()
from LHCbDIRAC.BookkeepingSystem.Client.BookkeepingClient import BookkeepingClient
bk = BookkeepingClient()
if len(args) < 2:
result = bk.getAvailableDataQuality()
if not result['OK']:
print 'ERROR: %s' % (result['Message'])
DIRAC.exit(2)
flags = result['Value']
print "Available Data Quality Flags"
for flag in flags:
print flag
Script.showHelp()
exitCode = 0
filename = args[0]
flag = args[1]
" output file name [dirac-dms-chec-dir-cont.out]")
Script.registerSwitch("v", "Verbose",
" use this option for verbose output [False]")
Script.setUsageMessage('\n'.join([
__doc__.split('\n')[1],
'Usage:',
' %s [option|cfgfile] ...' % Script.scriptName,
]))
Script.parseCommandLine(ignoreErrors=False)
from DIRAC.Resources.Catalog.FileCatalog import FileCatalog
from DIRAC.Resources.Storage.StorageElement import StorageElement
from LHCbDIRAC.BookkeepingSystem.Client.BookkeepingClient import BookkeepingClient
bkClient = BookkeepingClient()
outputFileName = 'dirac-dms-chec-dir-cont.out'
for switch in Script.getUnprocessedSwitches():
if switch[0].lower() == "u" or switch[0].lower() == "unit":
unit = switch[1]
if switch[0] == "D" or switch[0].lower() == "dir":
dir = switch[1]
if switch[0] == "f" or switch[0].lower() == "output":
outputFile = switch[1]
outputFileName = outputFile
if switch[0] == "v" or switch[0].lower() == "verbose":
verbose = True
if verbose:
#!/usr/bin/env python
import sys
import random
import time
from DIRAC.Core.Base.Script import parseCommandLine
parseCommandLine()
from LHCbDIRAC.BookkeepingSystem.Client.BookkeepingClient import BookkeepingClient
cl = BookkeepingClient()
res = cl.getAvailableProductions()
if not res['OK']:
print res['Message']
sys.exit(0)
allproductions = sorted([i[0] for i in res['Value']], reverse=True)
productions = allproductions[:10000]
class Transaction(object):
def __init__(self):
self.custom_timers = {}
def run(self):
# print len(datasets)
i = random.randint(0, len(productions) - 1)
production = productions[i]
# print dataset
# DIRAC.exit(2)
#
# Processing pass needs to start as "/Real Data" for FULL stream flagging
#
if realData not in processing:
print 'You forgot /Real Data in the processing pass: '******'OK']:
gLogger.error('Cannot load the information for run %s' % (run))
gLogger.error(res['Message'])
DIRAC.exit(2)
dtd = res['Value']['DataTakingDescription']
configName = res['Value']['Configuration Name']
configVersion = res['Value']['Configuration Version']
bkDict = {
'ConfigName': configName,
'ConfigVersion': configVersion,
'ConditionDescription': dtd
}
]))
Script.parseCommandLine(ignoreErrors=False)
dumpList = False
for switch in Script.getUnprocessedSwitches():
if switch[0] == 'List':
dumpList = True
bkQuery = dmScript.getBKQuery()
lfns = dmScript.getOption('LFNs', [])
if not bkQuery and not lfns:
gLogger.error("No BKQuery and no files given...")
dExit(1)
# Invert the visibility flag as want to set Invisible those that are visible and vice-versa
from LHCbDIRAC.BookkeepingSystem.Client.BookkeepingClient import BookkeepingClient
bk = BookkeepingClient()
visibilityFlag = dmScript.getOption('Visibility', None)
if visibilityFlag is None:
gLogger.error('Visibility option should be given')
dExit(2)
visibilityFlag = str(visibilityFlag).lower() == 'yes'
if bkQuery:
# Query with visibility opposite to what is requested to be set ;-)
bkQuery.setOption('Visible', 'No' if visibilityFlag else 'Yes')
gLogger.notice("BQ query:", bkQuery)
lfns += bkQuery.getLFNs()
if not lfns:
gLogger.notice("No files found...")
else:
res = {'OK': True}
class ProcessingProgress( object ):
def __init__( self, cacheFile = None ):
if not cacheFile:
self.prodStatFile = os.path.join( os.environ['HOME'], ".dirac/work", "dirac-production-stats.pkl" )
else:
self.prodStatFile = cacheFile
self.cacheVersion = '0.0'
self.clearCache = []
self.cachedInfo = {}
# Recuperate the previous cached information
self.readCache()
self.bk = BookkeepingClient()
self.transClient = TransformationClient()
def setClearCache( self, clearCache ):
self.clearCache = clearCache
def __getProdBkDict( self, prod ):
res = self.transClient.getBookkeepingQuery( prod )
if not res['OK']:
gLogger.error( "Couldn't get BK query on production %d" % prod )
return {}
prodBKDict = res['Value']
return prodBKDict
def getFullStats( self, bkQuery, printResult = False ):
processingPass = bkQuery.getProcessingPass()
if printResult:
gLogger.info( "\nStatistics for processing %s, condition %s\n" % ( processingPass, bkQuery.getConditions() ) )
prodStats = []
processingPass = processingPass.split( '/' )
if len( processingPass ) != 4 or processingPass[1] != "Real Data":
gLogger.error( "Processing pass should be /Real Data/<Reco>/<Stripping>" )
return []
# Get production numbers for the Reco
recoBKQuery = BKQuery( bkQuery )
recoBKQuery.setProcessingPass( '/'.join( processingPass[0:3] ) )
recoList = recoBKQuery.getBKProductions( visible = False )
recoRunRanges = {}
recoDQFlags = []
for prod in recoList:
prodBKDict = self.__getProdBkDict( prod )
if prodBKDict:
recoRunRanges[prod] = [prodBKDict.get( "StartRun", 0 ), prodBKDict.get( "EndRun", sys.maxint )]
dqFlags = prodBKDict.get( "DataQualityFlag", ['UNCHECKED', 'EXPRESS_OK', 'OK'] )
if isinstance( dqFlags, basestring ):
dqFlags = dqFlags.split( ',' )
recoDQFlags += [fl for fl in dqFlags if fl not in recoDQFlags]
else:
recoRunRanges[prod] = [0, 0]
# Sort productions by runs
try:
recoList.sort( cmp = ( lambda p1, p2: int( recoRunRanges[p1][0] - recoRunRanges[p2][1] ) ) )
except:
print "Exception in sorting productions:"
for p in recoList:
print p, recoRunRanges[p]
gLogger.verbose( "Reconstruction productions found (%d): %s" % ( len( recoList ), str( sorted( recoList ) ) ) )
gLogger.verbose( "Reconstruction DQ flags: %s" % str( recoDQFlags ) )
# Get productions for merging
mergeList = []
mergeStripProds = {}
# Get stripping productions as parents of merging productions
stripList = []
for prod in bkQuery.getBKProductions( visible = False ):
prodBKDict = self.__getProdBkDict( prod )
gLogger.verbose( "BK query for production %s: %s" % ( prod, str( prodBKDict ) ) )
mergedTypes = prodBKDict.get( 'FileType' )
if type( mergedTypes ) != type( [] ):
mergedTypes = [mergedTypes]
if [ft for ft in bkQuery.getFileTypeList() if ft in mergedTypes] and 'ProductionID' in prodBKDict:
mergeList.append( prod )
prods = prodBKDict['ProductionID']
if type( prods ) != type( [] ):
prods = [prods]
stripList += prods
mergeStripProds[prod] = [str( p ) for p in prods]
else:
_msgTuple = ( str( bkQuery.getFileTypeList() ), prod, str( prodBKDict ) )
gLogger.verbose( "Could not find production or filetype %s in BKquery of production %d (%s)" % _msgTuple )
mergeList.sort( cmp = ( lambda p1, p2: int( mergeStripProds[p1][0] ) - int( mergeStripProds[p2][0] ) ) )
gLogger.verbose( "Merging productions found: %s" % str( mergeList ) )
# get list of stripping productions (from merging)
stripRunRanges = {}
for prod in stripList:
prodBKDict = self.__getProdBkDict( prod )
if prodBKDict:
stripRunRanges[prod] = [prodBKDict.get( "StartRun", 0 ), prodBKDict.get( "EndRun", sys.maxint )]
else:
stripRunRanges[prod] = [0, 0]
# Sort productions by runs
try:
stripList.sort( cmp = ( lambda p1, p2: int( stripRunRanges[p1][0] - stripRunRanges[p2][1] ) ) )
except:
print "Error when sorting stripping productions:"
for prodStrip in stripList:
print prodStrip, stripRunRanges[prodStrip]
gLogger.verbose( "Stripping productions found (%d): %s" % ( len( stripList ), str( sorted( stripList ) ) ) )
# Get all runs corresponding to the run range used by the Reco productions
rawBKQuery = BKQuery( bkQuery )
rawBKQuery.setProcessingPass( '/Real Data' )
rawBKQuery.setFileType( "RAW" )
# get the list of runs (-prodNum)
fullRunList = rawBKQuery.getBKRuns()
gLogger.verbose( "Initial list of runs: %s" % str( fullRunList ) )
recoRunList = []
openProd = False
for prod in [p for p in recoList]:
# Forget fully openProd productions
# Don't consider productions without a BK query (these are individual files)
if recoRunRanges[prod][1] == sys.maxint and recoRunRanges[prod][0] != -sys.maxint:
openProd = True
# Try and find if that open production overlaps with a closed one, in which case, remove it
# Do nothing for derived productions
for p in [p for p in recoList if p != prod and recoRunRanges[prod] != recoRunRanges[p]]:
if recoRunRanges[prod][0] < recoRunRanges[p][1] and recoRunRanges[p][1] != sys.maxint:
openProd = False
gLogger.verbose( "Production %s was removed as redundant..." % str( prod ) )
recoList.remove( prod )
break
if not openProd: continue
recoRunList += [run for run in fullRunList if run not in recoRunList and run >= recoRunRanges[prod][0] and run <= recoRunRanges[prod][1]]
gLogger.verbose( "List of runs matching Reco (%d): %s" % ( len( recoRunList ), str( sorted( recoRunList ) ) ) )
restrictToStripping = True
if restrictToStripping and not openProd and stripList:
runList = []
for prod in stripList:
runList += [run for run in recoRunList if run not in runList and run >= stripRunRanges[prod][0] and run <= stripRunRanges[prod][1]]
else:
runList = recoRunList
gLogger.verbose( "Final list of runs matching Reco and Stripping (%d): %s" % ( len( runList ), str( sorted( runList ) ) ) )
# Now get statistics from the runs
info, runInfo = self._getStatsFromRuns( int( bkQuery.getEventTypeList()[0] ), runList, recoDQFlags )
rawInfo = StatInfo( processingPass[1], info )
prodStats.append( rawInfo )
if printResult:
gLogger.info( "%s - All runs in Reco productions" % processingPass[1] )
for fileInfo in runInfo:
if runInfo[fileInfo]:
gLogger.info( "%s runs (%d): %s" % ( fileInfo, len( runInfo[fileInfo] ), str( runInfo[fileInfo] ) ) )
summStr = "%s files, " % rawInfo.getItemAsString( 'Files' )
summStr += "%s events in " % rawInfo.getItemAsString( 'Events' )
summStr += "%s runs, luminosity (pb-1):All=%s, Bad=%s, OK=%s" % ( rawInfo.getItemAsString( 'Runs' ),
rawInfo.getItemAsString( 'Lumi' ),
rawInfo.getItemAsString( 'BadLumi' ),
rawInfo.getItemAsString( 'OKLumi' ) )
gLogger.info( summStr )
# Create the info for the 3 sets of productions
prodSets = []
fileType = bkQuery.getFileTypeList()[0]
prodSets.append( {'Name': processingPass[2], 'FileType': ['SDST', 'FULL.DST'], 'List':recoList,
'RunRange':recoRunRanges, 'MotherProds':None, 'AllReplicas':False } )
prodSets.append( {'Name': processingPass[3], 'FileType': fileType, 'List':stripList,
'RunRange':stripRunRanges, 'MotherProds':None, 'AllReplicas':True, 'StatForOK':False } )
prodSets.append( {'Name': "Merging (%s)" % fileType.split( '.' )[0], 'FileType': fileType, 'List':mergeList,
'RunRange':None, 'MotherProds':mergeStripProds, 'AllReplicas':False } )
prevInfo = rawInfo
for prodSet in prodSets:
info = StatInfo( prodSet['Name'], self._getProdInfo( prodSet, runList, printResult = printResult ) )
info.setRawInfo( rawInfo )
info.setPrevInfo( prevInfo )
prevInfo = info
prodStats.append( info )
self.saveCache()
return prodStats
@staticmethod
def __sumProdInfo( info, totInfo ):
for inf in info:
for flag in info[inf]:
if inf == 'Runs':
totInfo[inf][flag] = totInfo.setdefault( inf, {} ).setdefault( flag, [] ) + info[inf][flag]
else:
totInfo[inf][flag] = totInfo.setdefault( inf, {} ).setdefault( flag, 0 ) + info[inf][flag]
return totInfo
def _getProdInfo( self, prodSet, runList, printResult = False ):
totInfo = {}
if printResult:
gLogger.info( "" )
for prod in prodSet['List']:
info, runInfo = self._getStatsFromBK( prod, prodSet['FileType'], runList, prodSet['AllReplicas'] )
if info['Files'][''] == 0:
continue
if not prodSet.get( 'StatForOK', True ):
for item in info:
for fl in info[item]:
if fl == 'OK':
info[item][fl] = 0 if not item == 'Runs' else []
runRange = prodSet['RunRange']
if runRange and prod in runRange and runRange[prod][0] == 0 and runRange[prod][1] == 0:
for flag in info['Runs']:
info['Runs'][flag] = []
totInfo = self.__sumProdInfo( info, totInfo )
if printResult:
summStr = "%s production %d -" % ( prodSet['Name'], prod )
if runRange and prod in runRange:
firstRun = runRange[prod][0]
lastRun = runRange[prod][1]
if firstRun:
summStr += " From run %d" % int( firstRun )
if lastRun and lastRun != sys.maxint:
summStr += " Up to run %d" % int( lastRun )
if firstRun == 0 and lastRun == 0:
summStr += "No run range specified"
motherProds = prodSet['MotherProds']
if motherProds and prod in motherProds:
summStr += " from productions %s" % motherProds[prod]
gLogger.info( summStr )
for inf in runInfo:
if runInfo[inf]:
gLogger.info( "%s runs (%d): %s" % ( inf, len( runInfo[inf] ), str( runInfo[inf] ) ) )
summStr = "%d files, " % info['Files']['']
if info['Events']:
summStr += "%d events in " % info['Events']['']
_msgTuple = ( len( info['Runs'][''] ), info['Lumi'][''], info['Lumi']['Bad'], info['Lumi']['OK'] )
summStr += "%d runs, luminosity (pb-1): All=%.3f, Bad=%.3f, OK=%.3f" % _msgTuple
gLogger.info( summStr )
for flag in totInfo.get( 'Runs', [] ):
totInfo['Runs'][flag] = len( totInfo['Runs'][flag] )
return totInfo
@staticmethod
def outputResults( conditions, processingPass, prodStats ):
outputString = ""
_msgTuple = ( conditions, ",", processingPass, "on", time.ctime( time.time() ) )
outputString += "\nProduction progress for %s %s %s %s %s\n" % _msgTuple
if len( prodStats ) < 4:
outputString += "No statistics found for this BK query"
return outputString
for i in xrange( 4 ):
info = prodStats[i]
if not info:
continue
name = info.getName()
outputString += "\nSummary for %s\n" % name
outputString += "%d files, " % info.getItem( 'Files' )
if info.getItem( 'Events' ):
outputString += "%d events in " % info.getItem( 'Events' )
_msgTuple = ( info.getItem( 'Runs' ), info.getItem( 'Lumi' ), info.getItem( 'BadLumi' ), info.getItem( 'OKLumi' ) )
outputString += "%d runs, luminosity (pb-1): All=%.3f, Bad=%.3f, OK=%.3f\n" % _msgTuple
prevStats = prodStats[:i]
prevStats.reverse()
for prevInfo in prevStats:
name = prevInfo.getName()
if prevInfo.getItem( 'Runs' ) == 0:
outputString += "From %s : - No runs...\n" % name
else:
outputString += "From %s : %.1f%% files, " % ( name, 100.*info.getItem( 'Files' ) / prevInfo.getItem( 'Files' ) )
if info.getItem( 'Events' ) and prevInfo.getItem( 'Events' ):
outputString += "%.1f%% events\n" % ( 100.*info.getItem( 'Events' ) / prevInfo.getItem( 'Events' ) )
outputString += "%.1f%% runs, %.1f%% luminosity\n" \
% ( 100. * info.getItem( 'Runs' ) / prevInfo.getItem( 'Runs' ),
100. * info.getItem( 'Lumi' ) / prevInfo.getItem( 'Lumi' ) )
return outputString
def __getRunsDQFlag( self, runList, evtType ):
res = self.bk.getRunFilesDataQuality( runList )
runFlags = {}
if res['OK']:
dqFlags = res['Value']
for dq in dqFlags:
if dq[2] == evtType:
runFlags.setdefault( dq[0], [] ).append( dq[1] )
runDQFlags = {}
flags = ( 'BAD', 'OK', 'EXPRESS_OK', 'UNCHECKED' )
for run in runFlags:
for fl in flags:
if fl in runFlags[run]:
runDQFlags[run] = fl
break
return runDQFlags
def _getStatsFromRuns( self, evtType, runList, recoDQFlags ):
info = dict.fromkeys( ( 'Events', 'Runs', 'Files', 'Lumi' ), {} )
for inf in info:
info[inf] = dict.fromkeys( ( 'Bad', 'OK', '' ), 0 )
now = datetime.datetime.utcnow()
# Set to True to renew the cache
clearCache = 'RAW' in self.clearCache
newRuns = [ run for run in runList if clearCache
or run not in self.cachedInfo
or 'DQFlag' not in self.cachedInfo[run]
or ( now - self.cachedInfo[run]['Time'] ) < datetime.timedelta( days = 2 ) ]
if newRuns:
runFlags = self.__getRunsDQFlag( newRuns, evtType )
else:
runFlags = {}
runsByDQFlag = {}
runInfo = {}
for run in runList:
cached = self.cachedInfo.get( run, {} )
cachedTime = cached.get( 'Time', None )
if run not in newRuns:
cachedFiles = cached.get( 'Files', 0 )
cachedEvents = cached.get( 'EventStat', 0 )
cachedLumi = cached.get( 'Luminosity', 0 )
dqFlag = cached.get( 'DQFlag', None )
else:
res = self.bk.getRunInformations( run )
if res['OK']:
val = res['Value']
ind = val['Stream'].index( 90000000 )
cachedFiles = val['Number of file'][ind]
cachedEvents = val['Number of events'][ind]
cachedLumi = val['luminosity'][ind]
cachedTime = val['RunStart']
else:
gLogger.error( "Unable to get run information for run %s" % str( run ) )
continue
dqFlag = runFlags[run]
self.cachedInfo[run] = { 'Time':cachedTime, 'Files':cachedFiles, 'EventStat': cachedEvents,
'Luminosity': cachedLumi, 'DQFlag':dqFlag }
runsByDQFlag[dqFlag] = runsByDQFlag.setdefault( dqFlag, 0 ) + 1
if dqFlag == "BAD":
runInfo.setdefault( 'BAD', [] ).append( run )
elif dqFlag not in recoDQFlags and dqFlag != 'OK' :
runInfo.setdefault( 'Untagged', [] ).append( run )
# Now count...
flags = []
if dqFlag != 'BAD':
flags.append( '' )
# OK in recoDQFlags means we take everything that is not BAD (reprocessing or new convention)
if dqFlag in recoDQFlags or dqFlag == 'OK':
flags.append( 'OK' )
else:
flags.append( 'Bad' )
for flag in flags:
info['Runs'][flag] += 1
info['Files'][flag] += cachedFiles
info['Events'][flag] += cachedEvents
info['Lumi'][flag] += cachedLumi
# Set lumi in pb-1
for flag in info['Lumi']:
info['Lumi'][flag] /= 1000000.
gLogger.info( "Runs per flag:" )
for key in runsByDQFlag:
gLogger.info( "%s : %d" % ( key, runsByDQFlag[key] ) )
for flag in runInfo:
runInfo[flag].sort()
return info, runInfo
def __getLfnsMetadata( self, lfns ):
lfnDict = {}
if len( lfns ):
gLogger.verbose( "Getting metadata for %d files" % len( lfns ) )
for lfnChunk in breakListIntoChunks( lfns, 1000 ):
while True:
res = self.bk.getFileMetadata( lfnChunk )
if not res['OK']:
gLogger.error( "Error getting files metadata, retrying...", res['Message'] )
else:
break
metadata = res['Value']['Successful']
for lfn in lfnChunk:
lfnDict[lfn] = {}
for meta in ( 'EventStat', 'Luminosity', 'DQFlag', 'RunNumber' ):
lfnDict[lfn][meta] = metadata[lfn][meta]
return lfnDict
def _getStatsFromBK( self, prod, fileType, runList, allReplicas ):
bkQueryDict = { "ProductionID": prod, "FileType": fileType }
bkStr = str( bkQueryDict )
bkQuery = BKQuery( bkQueryDict, visible = not allReplicas )
if allReplicas:
bkQuery.setOption( 'ReplicaFlag', "All" )
cached = self.cachedInfo.get( bkStr, {} )
cachedTime = cached.get( 'Time', None )
cachedLfns = cached.get( 'Lfns', {} )
if isinstance( fileType, basestring ):
fileType = [fileType]
if set( fileType ).intersection( set( self.clearCache ) ):
cachedTime = datetime.datetime.utcnow() - datetime.timedelta( days = 8 )
cachedTime = None
cachedLfns = {}
gLogger.verbose( "Cleared cache for production %s, file type %s" % ( str( prod ), fileType ) )
# Update if needed the cached information on LFNs
if cachedLfns:
lfns = [lfn for lfn in cachedLfns if cachedLfns[lfn].get( 'DQFlag' ) not in ( 'OK', 'BAD' )]
for lfnChunk in breakListIntoChunks( lfns, 1000 ):
# get the DQFlag of files that are not yet OK
while True:
res = self.bk.getFileMetadata( lfnChunk )
if not res['OK']:
gLogger.error( "Error getting files metadata for cached files, bkQuery %s: %s" % ( bkStr, res['Message'] ) )
else:
metadata = res['Value']['Successful']
for lfn in lfnChunk:
cachedLfns[lfn]['DQFlag'] = metadata[lfn]['DQFlag']
break
# Now get the new files since last time...
if cachedTime:
bkQuery.setOption( 'StartDate', cachedTime.strftime( '%Y-%m-%d %H:%M:%S' ) )
gLogger.verbose( "Getting files for BKQuery %s" % str( bkQuery ) )
cachedTime = datetime.datetime.utcnow()
lfns = [lfn for lfn in bkQuery.getLFNs( printOutput = False ) if lfn not in cachedLfns]
gLogger.verbose( "Returned %d files" % len( lfns ) )
cachedLfns.update( self.__getLfnsMetadata( lfns ) )
self.cachedInfo[bkStr] = { 'Time':cachedTime, 'Lfns':cachedLfns }
# Now sum up all information for the files
info = dict.fromkeys( ( 'Events', 'Runs', 'Files', 'Lumi' ), {} )
for inf in info:
if inf == 'Runs':
for flag in ( 'Bad', 'OK', '' ):
info[inf][flag] = []
else:
info[inf] = dict.fromkeys( ( 'Bad', 'OK', '' ), 0 )
for lfn in cachedLfns:
lfnInfo = cachedLfns[lfn]
run = lfnInfo['RunNumber']
if run in runList and run in self.cachedInfo and self.cachedInfo[run]['DQFlag'] != 'BAD':
dqFlag = cachedLfns[lfn]['DQFlag']
flags = []
if dqFlag != 'BAD':
flags.append( '' )
else:
flags.append( 'Bad' )
if dqFlag == 'OK':
flags.append( 'OK' )
for flag in flags:
if run not in info['Runs'][flag]:
info['Runs'][flag].append( run )
info['Files'][flag] += 1
info['Events'][flag] += lfnInfo['EventStat']
info['Lumi'][flag] += lfnInfo['Luminosity']
runInfo = {}
if 'BAD' in info['Runs']:
runInfo['BAD'] = info['Runs']['BAD']
runInfo['BAD'].sort()
else:
runInfo['BAD'] = []
if '' in info['Runs'] and 'OK' in info['Runs']:
runInfo['Untagged'] = [run for run in info['Runs'][''] if run not in info['Runs']['OK']]
runInfo['Untagged'].sort()
else:
runInfo['Untagged'] = []
# for f in info['Runs']:
# info['Runs'][f] = len( info['Runs'][f] )
for flag in info['Lumi']:
info['Lumi'][flag] /= 1000000.
return info, runInfo
def getPreviousStats( self, processingPass ):
prevStats = self.cachedInfo.get( 'ProdStats', {} ).get( processingPass )
if prevStats:
try:
_name = prevStats['ProdStats'][0][0].getName()
except:
prevStats = None
return prevStats
def setPreviousStats( self, processingPass, prevStats ):
self.cachedInfo.setdefault( 'ProdStats', {} )[processingPass] = prevStats
self.saveCache()
def readCache( self ):
if not os.path.exists( self.prodStatFile ):
gLogger.info( "Created cached file %s" % self.prodStatFile )
self.cachedInfo = {}
self.saveCache()
return
fileRead = False
while not fileRead:
try:
with FileLock( self.prodStatFile ):
lFile = open( self.prodStatFile, 'r' )
cachedVersion = pickle.load( lFile )
startTime = time.time()
if cachedVersion == self.cacheVersion:
self.cachedInfo = pickle.load( lFile )
_msgTuple = ( self.prodStatFile, time.time() - startTime )
gLogger.info( "Loaded cached information from %s in %.3f seconds" % _msgTuple )
else:
_msgTuple = ( cachedVersion, self.cacheVersion )
gLogger.info( "Incompatible versions of cache, reset information (%s, expect %s)" % _msgTuple )
self.cachedInfo = {}
lFile.close()
fileRead = True
except FileLockException, error:
gLogger.error( "Lock exception: %s while reading pickle file %s" % ( error, self.prodStatFile ) )
except:
inputFiles = True
outputFiles = True
jobidList = []
for jobid in args:
if os.path.exists(jobid):
bkScript.setJobidsFromFile(jobid)
else:
jobidList += jobid.split(',')
jobidList += bkScript.getOption('JobIDs', [])
if not jobidList:
print "No jobID provided!"
Script.showHelp()
DIRAC.exit(0)
from LHCbDIRAC.BookkeepingSystem.Client.BookkeepingClient import BookkeepingClient
retVal = BookkeepingClient().getJobInputOutputFiles(jobidList)
if retVal['OK']:
success = retVal['Value']['Successful']
for job in success:
# Remove from input the files that are also output! This happens because the output of step 1 can be the input of step 2...
# only worth if input files are requested though
if inputFiles:
success[job]['InputFiles'] = sorted(
set(success[job]['InputFiles']) -
set(success[job]['OutputFiles']))
if not inputFiles or not outputFiles:
success[job].pop(
'InputFiles' if not inputFiles else 'OutputFiles')
printDMResult(retVal, empty="File does not exists in the Bookkeeping")
def execute():
"""
Parse the options and execute the script
"""
bkQuery = dmScript.getBKQuery()
fileType = bkQuery.getFileTypeList()
if not set(fileType) & {'FULL.DST', 'RDST', 'SDST'}:
gLogger.error("Please provide a reconstruction BK path")
DIRAC.exit(1)
from LHCbDIRAC.TransformationSystem.Client.TransformationClient import TransformationClient
from DIRAC.DataManagementSystem.Client.DataManager import DataManager
from DIRAC.Core.Utilities.List import breakListIntoChunks
from LHCbDIRAC.BookkeepingSystem.Client.BookkeepingClient import BookkeepingClient
from DIRAC.DataManagementSystem.Utilities.DMSHelpers import DMSHelpers, resolveSEGroup
bk = BookkeepingClient()
tr = TransformationClient()
dm = DataManager()
dmsHelper = DMSHelpers()
bkQueryDict = bkQuery.getQueryDict()
gLogger.notice("For BK Query:", str(bkQueryDict))
progressBar = ProgressBar(1, title="Running BK query...", step=1)
res = bk.getFilesWithMetadata(bkQueryDict)
if not res['OK']:
gLogger.error("Error getting files from BK", res['Message'])
DIRAC.exit(2)
if 'ParameterNames' in res.get('Value', {}):
parameterNames = res['Value']['ParameterNames']
info = res['Value']['Records']
progressBar.endLoop("Obtained %d files" % len(info))
else:
gLogger.error('\nNo metadata found')
DIRAC.exit(3)
lfns = []
runLFNs = {}
for item in info:
metadata = dict(zip(parameterNames, item))
lfn = metadata['FileName']
lfns.append(lfn)
runLFNs.setdefault(metadata['RunNumber'], []).append(lfn)
chunkSize = 1000
progressBar = ProgressBar(len(lfns),
title='Getting replicas of %d files' % len(lfns),
chunk=chunkSize)
replicas = {}
errors = {}
for lfnChunk in breakListIntoChunks(lfns, chunkSize):
progressBar.loop()
res = dm.getReplicas(lfnChunk, getUrl=False)
if not res['OK']:
errors.setdefault(res['Message'], []).extend(lfnChunk)
else:
replicas.update(res['Value']['Successful'])
for lfn, error in res['Value']['Failed'].iteritems():
errors.setdefault(error, []).append(lfn)
progressBar.endLoop()
for error, lfns in errors.iteritems():
gLogger.error(error, 'for %d files' % len(lfns))
tier1RDST = set(resolveSEGroup('Tier1-RDST'))
setOK = 0
errors = {}
progressBar = ProgressBar(len(runLFNs),
title='Defining destination for %d runs' %
len(runLFNs),
step=10)
for run, lfns in runLFNs.iteritems():
progressBar.loop()
res = tr.getDestinationForRun(run)
if res.get('Value'):
errors.setdefault('Destination already set', []).append(str(run))
continue
# print 'Run', run, len( lfns ), 'Files', lfns[:3]
seCounts = {}
for lfn in lfns:
for se in tier1RDST.intersection(replicas.get(lfn, [])):
seCounts[se] = seCounts.setdefault(se, 0) + 1
# print seCounts
maxi = 0
seMax = None
for se, count in seCounts.iteritems():
if count > maxi:
seMax = se
maxi = count
if not seMax:
errors.setdefault('No SE found, use CERN-RDST',
[]).append(str(run))
seMax = 'CERN-RDST'
# SE found, get its site
res = dmsHelper.getLocalSiteForSE(seMax)
if res['OK']:
site = res['Value']
res = tr.setDestinationForRun(run, site)
if not res['OK']:
errors.setdefault(res['Message'], []).append(str(run))
else:
setOK += 1
progressBar.endLoop('Successfully set destination for %d runs' % setOK)
for error, runs in errors.iteritems():
gLogger.error(error, 'for runs %s' % ','.join(runs))
# Author : Zoltan Mathe
########################################################################
"""
List file types from the Bookkeeping
"""
__RCSID__ = "$Id$"
import DIRAC
from DIRAC.Core.Base import Script
Script.setUsageMessage('\n'.join([
__doc__.split('\n')[1], 'Usage:',
' %s [option|cfgfile]' % Script.scriptName
]))
Script.parseCommandLine(ignoreErrors=True)
from LHCbDIRAC.BookkeepingSystem.Client.BookkeepingClient import BookkeepingClient
bk = BookkeepingClient()
exitCode = 0
mfiletypes = []
res = bk.getAvailableFileTypes()
if res['OK']:
dbresult = res['Value']
print 'Filetypes:'
for record in dbresult['Records']:
print str(record[0]).ljust(30) + str(record[1])
DIRAC.exit(exitCode)
########################################################################
"""
Insert a new set of simulation conditions in the Bookkeeping
"""
__RCSID__ = "$Id$"
import DIRAC
from DIRAC.Core.Base import Script
Script.setUsageMessage('\n'.join([
__doc__.split('\n')[1], 'Usage:',
' %s [option|cfgfile] ...' % Script.scriptName
]))
Script.parseCommandLine(ignoreErrors=True)
from LHCbDIRAC.BookkeepingSystem.Client.BookkeepingClient import BookkeepingClient
bk = BookkeepingClient()
exitCode = 0
desc = raw_input("SimDescription: ")
beamcond = raw_input("BeamCond: ")
beamEnergy = raw_input("BeamEnergy: ")
generator = raw_input("Generator: ")
magneticField = raw_input("MagneticField: ")
detectorCond = raw_input("DetectorCond: ")
luminosity = raw_input("Luminosity: ")
g4settings = raw_input("G4settings: ")
print 'Do you want to add these new simulation conditions? (yes or no)'
value = raw_input('Choice:')
choice = value.lower()
if choice in ['yes', 'y']:
class BookkeepingDB:
def __init__(self):
self.bkClient = BookkeepingClient()
self.tfClient = TransformationClient()
# self.err = err
def MakeRunLFN(self, runNmbr, cfgVersion, prodId):
try:
padding = "%08d" % int(prodId)
lfn = LFN_FORMAT_STRING %(
cfgVersion, runNmbr, runNmbr, padding)
return lfn
except Exception as inst:
# self.err.rethrowException(inst)
return None
def getTCK(self, runNmbr):
try:
print runNmbr
res = self.getRunsMetadata(runNmbr)
pprint.pprint(res)
if res != None and hasattr(res, 'Value') \
and hasattr(res['Value'], runNmbr) \
and hasattr(res['Value'][runNmbr], "TCK"):
return res['Value'][runNmbr]["TCK"]
else:
return None
except Exception as inst:
# self.err.rethrowException(inst)
return None
def getRunsMetadata(self, runNmbr):
try:
res = self.tfClient.getRunsMetadata(int(runNmbr))
if res['OK']:
return res
else:
return None
except Exception as inst:
# self.err.rethrowException(inst)
return None
def getInformation(self, run):
try:
res = self.bkClient.getRunInformations(run)
if res['OK']:
result = dict()
val = res['Value']
result = {"runstart": val.get('RunStart', 'Unknown'), "runend": val.get('RunEnd', 'Unknown'),
"configname": val.get('Configuration Name', 'Unknown'), "configversion": val.get('Configuration Version', 'Unknown'),
"fillnb" : val.get('FillNumber', 'Unknown'), "datataking" : val.get('DataTakingDescription', 'Unknown'),
"datataking" : val.get('DataTakingDescription', 'Unknown'), "processing" : val.get('ProcessingPass', 'Unknown'),
"stream" : val.get('Stream', 'Unknown'), "fullstat" : val.get('FullStat', 'Unknown'),
"nbofe" : val.get('Number of events', 'Unknown'), "nboff" : val.get('Number of file', 'Unknown'),
"fsize" : val.get('File size', 'Unknown')
}
return result
else:
self.errorMessage("error in bkClient Connection")
return None
except Exception as inst:
# self.err.rethrowException(inst)
return None
def getListOfRecos(self, runNmbr):
try:
d = {'RunNumber' : runNmbr}
res = self.bkClient.getRunAndProcessingPass(d)
results = list()
if res['OK'] == True:
recosList = res["Value"]
for recoEntry in recosList:
recoPath = recoEntry[1]
if recoEntry[0] == runNmbr \
and recoPath.count("/") == 2 \
and "Reco" in recoPath :
results.append(recoPath)
return results
else:
pprint.pprint(res)
self.errorMessage("error in bkClient Connection")
return None
except Exception as inst:
# self.err.rethrowException(inst)
return None
def getProcessId(self, runNmbr, recoVersion):
try:
d = {'RunNumber' : runNmbr,
'ProcessingPass': recoVersion}
res = self.bkClient.getProductionsFromView(d)
if res["OK"] == True:
return res["Value"][0][0]
else:
self.errorMessage("error in bkClient Connection")
return None
except Exception as inst:
# self.err.rethrowException(inst)
return None
#recoVersion is just Reco13 and not the full path!!
def makeReferenceROOTFileName(self, recoVersion, runNmbr):
try:
basePath = REFERENCE_BASE_PATH + recoVersion +"/"
#nasty stuff!!
#the problem is tck retrieved from db
#0x790038
#but in the file it looks like
#TCK_0x00760037_1.root
#so do padding here
tck = self.getTCK(runNmbr)
#sometimes no tck set, then take default file
if tck != None:
tckDecimal = int(tck, 0)
tckHexPaddedFileName = "TCK_0x" + str(format(tckDecimal, '08x')) + "_"
#if we have multiple files like
#TCK_0x00790038_1.root
#TCK_0x00790038_2.root
#we want the file with the highest subindex, so in this example _2
possibleTCKList = list()
#store all possible files
for file in os.listdir(basePath):
if tck != None \
and file.endswith(".root") \
and file != "default_1.root" \
and tckHexPaddedFileName in file:
possibleTCKList.append(file)
#if we haven't foun anything, look for the default files and choose the one with the highest index
if len(possibleTCKList) == 0:
#store all possible files
for file in os.listdir(basePath):
if file.endswith(".root") \
and "default_" in file:
possibleTCKList.append(file)
#now sort this list, to find the highest subindex
possibleTCKList.sort()
return basePath+possibleTCKList.pop()
except Exception as inst:
# self.err.rethrowException(inst)
return None
Script.setUsageMessage('\n'.join([
__doc__.split('\n')[1], 'Usage:',
' %s [option|cfgfile] ... ProdID' % Script.scriptName, 'Arguments:',
' ProdID: Production ID'
]))
Script.parseCommandLine(ignoreErrors=True)
args = Script.getPositionalArgs()
if len(args) < 1:
Script.showHelp()
exitCode = 0
from LHCbDIRAC.BookkeepingSystem.Client.BookkeepingClient import BookkeepingClient
bk = BookkeepingClient()
try:
prod = long(args[0])
except:
Script.showHelp()
DIRAC.exit(1)
res = bk.getNbOfJobsBySites(prod)
if res['OK']:
if not res['Value']:
print "No jobs for production", prod
DIRAC.exit(0)
sites = dict([(site, num) for num, site in res['Value']])
shift = 0
for site in sites:
def __init__(self):
self.bkClient = BookkeepingClient()
self.tfClient = TransformationClient()
class ProductionRequest(object):
""" Production request class - objects are usually created starting from a production request
"""
def __init__(self, bkkClientIn=None, diracProdIn=None):
""" c'tor
Some variables are defined here. A production request is made of:
stepsList, productionsTypes, and various parameters of those productions
"""
if bkkClientIn is None:
self.bkkClient = BookkeepingClient()
else:
self.bkkClient = bkkClientIn
if diracProdIn is None:
self.diracProduction = DiracProduction()
else:
self.diracProduction = diracProdIn
self.rpcProductionRequest = RPCClient(
'ProductionManagement/ProductionRequest')
self.tc = TransformationClient()
self.logger = gLogger.getSubLogger('ProductionRequest')
self.opsH = Operations()
# parameters of the request
self.requestID = 0
self.parentRequestID = 0
self.appendName = '1'
self.outConfigName = ''
self.prodsToLaunch = [] # productions to launch
self.stepsListDict = [] # list of dict of steps
self.stepsInProds = [] # a list of lists
# parameters of the input data
self.processingPass = ''
self.dataTakingConditions = ''
self.eventType = ''
self.bkFileType = []
self.dqFlag = ''
self.startRun = 1
self.endRun = 2
self.runsList = ''
self.configName = 'test'
self.configVersion = 'certification'
# parameters of the first production
self.publishFlag = True
self.testFlag = False
self.derivedProduction = 0
self.previousProdID = 0 # optional prod from which to start
self.fullListOfOutputFileTypes = []
# parameters that are the same for each productions
self.prodGroup = '' # This ends up being 'ProcessingType', workflow parameter, and it is used for accounting
self.visibility = '' # For BKQuery
self.fractionToProcess = 0
self.minFilesToProcess = 0
self.modulesList = None # Usually:
# ['GaudiApplication', 'AnalyseXMLSummary',
# 'ErrorLogging', 'BookkeepingReport', 'StepAccounting' ]
# parameters of each production (the length of each list has to be the same as the number of productions
self.events = []
self.stepsList = []
self.extraOptions = {}
self.prodsTypeList = []
self.bkQueries = [] # list of bk queries
self.removeInputsFlags = []
self.priorities = []
self.cpus = []
self.inputs = [] # list of lists
self.outputModes = []
self.targets = []
self.outputFileMasks = []
self.outputFileSteps = []
self.groupSizes = []
self.plugins = []
self.inputDataPolicies = []
self.previousProds = [
None
] # list of productions from which to take the inputs (the first is always None)
self.multicore = [
] # list of flags to override the multi core flags of the steps
self.outputSEs = [] # a list of StorageElements
self.specialOutputSEs = [] # a list of dictionaries - might be empty
self.outputSEsPerFileType = [] # a list of dictionaries - filled later
self.ancestorDepths = []
self.compDict = {
'HIGH': 'Compression-LZMA-4',
'LOW': 'Compression-ZLIB-1'
}
self.compressionLvl = [''] # List: one compression level each step
self.appConfig = '$APPCONFIGOPTS/Persistency/' # Default location of the compression level configuration files
#
# These lists define the visibility of the output files produced by each step. For MC productions, the visibility
# is tied to compression level. VIsible files are compressed at the highest level
#
self.outputVisFlag = [
] # List of dictionary with default visibility flag of the output files per single step
self.specialOutputVisFlag = [
] # List of dictionaries with special visibility flag for given file type
#############################################################################
def resolveSteps(self):
""" Given a list of steps in strings, some of which might be missing,
resolve it into a list of dictionary of steps (self.stepsListDict)
"""
outputVisFlag = dict(
[k, v] for el in self.outputVisFlag for k, v in el.iteritems()
) # Transform the list of dictionaries in a dictionary
specialOutputVisFlag = dict([k, v] for el in self.specialOutputVisFlag
for k, v in el.iteritems())
count = 0 # Needed to add correctly the optionFiles to the list of dictonaries of steps
for stepID in self.stepsList:
stepDict = self.bkkClient.getAvailableSteps({'StepId': stepID})
if not stepDict['OK']:
raise ValueError(stepDict['Message'])
else:
stepDict = stepDict['Value']
stepsListDictItem = {}
s_in = self.bkkClient.getStepInputFiles(stepID)
if not s_in['OK']:
raise ValueError(s_in['Message'])
stepsListDictItem['fileTypesIn'] = [
fileType[0].strip() for fileType in s_in['Value']['Records']
]
s_out = self.bkkClient.getStepOutputFiles(stepID)
if not s_out['OK']:
raise ValueError(s_out['Message'])
fileTypesList = [
fileType[0].strip() for fileType in s_out['Value']['Records']
]
self.fullListOfOutputFileTypes = self.fullListOfOutputFileTypes + fileTypesList
stepsListDictItem['fileTypesOut'] = fileTypesList
for parameter, value in itertools.izip(stepDict['ParameterNames'],
stepDict['Records'][0]):
if parameter.lower() in ['conddb', 'dddb', 'dqtag'] and value:
if value.lower() == 'frompreviousstep':
value = self.stepsListDict[-1][parameter]
if parameter == 'OptionFiles': # Modifying the OptionFiles (for setting the compression level)
if 'MDF' not in stepsListDictItem[
'fileTypesOut']: # certain MC produce MDF, which shouldn't be compressed
#
# If the prod manager sets a compression level for a particular step, either we append the option file
# or we overwrite the existing one inherited with the step
#
if len(self.compressionLvl
) > count and self.compressionLvl[count] != '':
persist = re.compile('Compression-[A-Z]{4}-[1-9]')
# self.compressionLvl[count] = self.appConfig + self.compressionLvl[count] + '.py'
self.compressionLvl[
count] = self.appConfig + self.compDict[
self.compressionLvl[count].upper()] + '.py'
if not persist.search(value):
if value == '':
value = self.compressionLvl[count]
else:
value = ";".join(
(value, self.compressionLvl[count]))
else:
value = persist.sub(
persist.search(
self.compressionLvl[count]).group(),
value)
#
# If instead the prod manager doesn't declare a compression level, e.g. for intermediate steps,
# we check if there is one in the options and in case we delete it. This leaves the default zip level
# defined inside Gaudi
#
elif len(
self.compressionLvl
) > count and self.compressionLvl[count] == '':
persist = re.compile(
r'\$\w+/Persistency/Compression-[A-Z]{4}-[1-9].py;?'
)
if persist.search(value):
value = persist.sub('', value)
if parameter == 'SystemConfig' and value is not None and re.search(
'slc5', value):
p = re.compile(
r'\$\w+/Persistency/Compression-[A-Z]{4}-[1-9].py;?')
if p.search(stepsListDictItem['OptionFiles']):
stepsListDictItem['OptionFiles'] = p.sub(
'', stepsListDictItem['OptionFiles'])
stepsListDictItem[parameter] = value # Fixing what decided
if stepsListDictItem['StepId'] in self.extraOptions:
stepsListDictItem['ExtraOptions'] = self.extraOptions[
stepsListDictItem['StepId']]
else:
stepsListDictItem['ExtraOptions'] = ''
stepsListDictItem['prodStepID'] = str(stepID) + str(
stepsListDictItem['fileTypesIn'])
if 'isMulticore' not in stepsListDictItem:
stepsListDictItem['isMulticore'] = 'N'
if 'SystemConfig' not in stepsListDictItem:
stepsListDictItem['SystemConfig'] = ''
if 'mcTCK' not in stepsListDictItem:
stepsListDictItem['mcTCK'] = ''
# Add visibility info during step resolution
if 'visibilityFlag' not in stepsListDictItem:
outputVisList = list({
'Visible': outputVisFlag[str(count + 1)],
'FileType': ftype
} for ftype in stepsListDictItem['fileTypesOut'])
if str(count + 1) in specialOutputVisFlag:
for it in outputVisList:
if it['FileType'] in specialOutputVisFlag[str(count +
1)]:
it['Visible'] = specialOutputVisFlag[str(
count + 1)][it['FileType']]
stepsListDictItem['visibilityFlag'] = outputVisList
self.stepsListDict.append(stepsListDictItem)
count += 1
#############################################################################
def buildAndLaunchRequest(self):
""" uses _applyOptionalCorrections, _getProdsDescriptionDict,
_buildProduction, and DiracProduction.launchProduction
"""
if not self.stepsListDict:
self.resolveSteps()
self._applyOptionalCorrections()
self._determineOutputSEs()
prodsDict = self._getProdsDescriptionDict()
stepsListDict = list(self.stepsListDict)
fromProd = self.previousProdID
prodsLaunched = []
self.logger.debug(prodsDict)
# now we build and launch each productions
for prodIndex, prodDict in prodsDict.items():
if self.prodsToLaunch:
if prodIndex not in self.prodsToLaunch:
continue
# build the list of steps in a production
stepsInProd = []
for stepID in prodDict['stepsInProd-ProdName']:
for step in stepsListDict:
if step['prodStepID'] == stepID:
stepsInProd.append(
stepsListDict.pop(stepsListDict.index(step)))
# NOT READY (alternative to previous 5 lines)
# build the DAG of steps in a production
# stepsInProdDAG = self._getStepsInProdDAG( prodDict, stepsListDict )
# Here, for today it is just convert to a list
# TODO: fix this in order to properly use DAGs (now it's only sequential)
# FIXME: using getIndexNodes we can't assure the order is respected
# stepsInProd = stepsInProdDAG.getIndexNodes()
if prodDict['previousProd'] is not None:
fromProd = prodsLaunched[prodDict['previousProd'] - 1]
self.previousProdID = fromProd
prod = self._buildProduction(
prodType=prodDict['productionType'],
stepsInProd=stepsInProd,
outputSE=prodDict['outputSE'],
priority=prodDict['priority'],
cpu=prodDict['cpu'],
inputDataList=prodDict['input'],
outputMode=prodDict['outputMode'],
inputDataPolicy=prodDict['inputDataPolicy'],
outputFileMask=prodDict['outputFileMask'],
outputFileStep=prodDict['outputFileStep'],
target=prodDict['target'],
removeInputData=prodDict['removeInputsFlag'],
groupSize=prodDict['groupSize'],
bkQuery=prodDict['bkQuery'],
plugin=prodDict['plugin'],
previousProdID=fromProd,
derivedProdID=prodDict['derivedProduction'],
transformationFamily=prodDict['transformationFamily'],
events=prodDict['events'],
multicore=prodDict['multicore'],
ancestorDepth=prodDict['ancestorDepth'])
# if the production is a simulation production type, submit it to the automated testing
if prodDict['productionType'] in self.opsH.getValue(
'Transformations/ExtendableTransfTypes', ['MCSimulation']):
prodID = self._mcSpecialCase(prod, prodDict)
else:
res = self.diracProduction.launchProduction(
prod=prod,
publishFlag=self.publishFlag,
testFlag=self.testFlag,
requestID=self.requestID,
tracking=prodDict['tracking'])
if not res['OK']:
raise RuntimeError(res['Message'])
prodID = res['Value']
prodsLaunched.append(prodID)
if self.publishFlag:
self.logger.notice(
"For request %d, submitted Production %d, of type %s, ID = %s"
% (self.requestID, prodIndex, prodDict['productionType'],
str(prodID)))
return S_OK(prodsLaunched)
#############################################################################
def _getStepsInProdDAG(self,
prodDict,
stepsListDict,
stepsOrder='sequential'):
""" Builds the DAG of steps in a production
:params dict prodDict: dictionary representing one production
:params list stepsListDict: list of steps (which are dictionaries) that should be in the production
:returns: stepsInProd (DAG)
"""
stepsInProd = DAG()
inserted = None
for stepID in prodDict['stepsInProd-ProdName']:
for step in stepsListDict:
if step['prodStepID'] == stepID:
ind = stepsListDict.index(step)
step = stepsListDict.pop(ind)
stepsInProd.addNode(step)
if inserted and stepsOrder == 'sequential':
stepsInProd.addEdge(inserted, step)
inserted = step
return stepsInProd
def _mcSpecialCase(self, prod, prodDict):
""" Treating the MC special case for putting MC productions in status "Testing"
"""
# save the original xml before it is edited for testing
prod._lastParameters() # pylint: disable=protected-access
# launchProduction adds extra parameters, as we 'hot swap' the xml, we
# need to get these parameters for the un-edited version
originalProcessingType = prod.prodGroup
originalPriority = prod.priority
prodXML = prod.LHCbJob.workflow.toXML()
prodID = self._modifyAndLaunchMCXML(prod, prodDict)
# load a production from the original xml to save the priority and processing type
workflowToSave = fromXMLString(prodXML)
prod.LHCbJob.workflow = workflowToSave
prod.setParameter('ProcessingType', 'JDL', str(originalProcessingType),
'ProductionGroupOrType')
prod.setParameter('Priority', 'JDL', str(originalPriority),
'Job Priority')
# original xml to save
descriptionToStore = prod.LHCbJob.workflow.toXML()
# saving the original xml in the StoredJobDescription table.
res = self.tc.addStoredJobDescription(prodID, descriptionToStore)
if not res['OK']:
self.logger.error("Error calling addStoredJobDescription",
res['Message'])
self.logger.info("Cleaning created production and exiting")
self.diracProduction.production(res['Value'], 'cleaning')
raise RuntimeError(res['Message'])
return prodID
def _modifyAndLaunchMCXML(self, prod, prodDict):
""" Apply modifications to the workflow XML for MC testing case
:param Production prod: Production object
:param dict prodDict: dictionary with production info
:returns: res['OK'] or res['ERROR']
"""
# set the destination and number of events for testing
destination = self.opsH.getValue(
"Productions/MCTesting/MCTestingDestination", 'DIRAC.Test.ch')
numberOfEvents = self.opsH.getValue(
"Productions/MCTesting/numberOfEvents", '500')
extendBy = self.opsH.getValue("Productions/MCTesting/extendBy", 20)
prod.setJobParameters({'Destination': destination})
prod.LHCbJob.workflow.removeParameter('BannedSites')
prod.setParameter('numberOfEvents', 'string', str(numberOfEvents),
'Number of events to test')
# add '1' to the stepMask and add GAUSSHIST to the fileMask
fileTypesOutLastStep = prod.LHCbJob.workflow.step_instances[
-2].findParameter('listoutput').getValue()[0]['outputDataType']
newFileMask = ['GAUSSHIST'] + [
ftOut.upper() for ftOut in fileTypesOutLastStep.split(';')
]
stepMaskParameter = prod.LHCbJob.workflow.findParameter(
'outputDataStep')
if stepMaskParameter:
stepMask = stepMaskParameter.getValue().replace(' ', '').split(';')
newOutputFileStep = ';'.join(
sorted(list(set(['1']).union(set(stepMask)))))
else:
newOutputFileStep = '1'
prod.setFileMask(newFileMask, newOutputFileStep)
# find the file types out already built, append GAUSSHIST and set the new listoutput
fileTypesOut = prod.LHCbJob.workflow.step_instances[0].findParameter(
'listoutput').getValue()[0]['outputDataType']
fileTypesOut = fileTypesOut.split(', ')
fileTypesOut.append('GAUSSHIST')
outputFilesList = prod._constructOutputFilesList(fileTypesOut) # pylint: disable=protected-access
prod.LHCbJob.workflow.step_instances[0].setValue(
'listoutput', outputFilesList)
# increase the priority to 10
prod.priority = 10
# launch the test production
res = self.diracProduction.launchProduction(
prod=prod,
publishFlag=self.publishFlag,
testFlag=self.testFlag,
requestID=self.requestID,
extend=extendBy,
tracking=prodDict['tracking'],
MCsimflag=True)
if not res['OK']:
self.logger.error("Error launching production", res['Message'])
raise RuntimeError(res['Message'])
return res['Value']
def _determineOutputSEs(self):
""" Fill outputSEsPerFileType based on outputSEs, fullListOfOutputFileTypes and specialOutputSEs
"""
for outputSE, specialOutputSEs in itertools.izip(
self.outputSEs, self.specialOutputSEs):
outputSEDict = {}
if not self.fullListOfOutputFileTypes:
raise ValueError("No steps defined")
outputSEDict = dict([(fType, outputSE)
for fType in self.fullListOfOutputFileTypes])
if specialOutputSEs:
outputSEDict.update(specialOutputSEs)
self.outputSEsPerFileType.append(outputSEDict)
def _applyOptionalCorrections(self):
""" if needed, calls _splitIntoProductionSteps. It also applies other changes
"""
if len(self.bkQueries) != len(self.prodsTypeList):
self.bkQueries += ['fromPreviousProd'] * (len(self.prodsTypeList) -
len(self.bkQueries))
if len(self.previousProds) != len(self.prodsTypeList):
self.previousProds += xrange(1, len(self.prodsTypeList))
if len(self.events) != len(self.prodsTypeList):
self.events += ['-1'
] * (len(self.prodsTypeList) - len(self.events))
if not self.removeInputsFlags:
removeInputsFlags = []
for prodType in self.prodsTypeList:
if prodType.lower() == 'merge':
removeInputsFlags.append(True)
else:
removeInputsFlags.append(False)
self.removeInputsFlags = removeInputsFlags
if not self.outputFileMasks:
self.outputFileMasks = [''] * len(self.prodsTypeList)
if not self.outputFileSteps:
self.outputFileSteps = [''] * len(self.prodsTypeList)
if not self.inputs:
self.inputs = [[]] * len(self.prodsTypeList)
if not self.outputModes:
self.outputModes = ['Any'] * len(self.prodsTypeList)
if not self.targets:
self.targets = [''] * len(self.prodsTypeList)
if not self.inputDataPolicies:
self.inputDataPolicies = ['download'] * len(self.prodsTypeList)
if not self.multicore:
self.multicore = ['True'] * len(self.prodsTypeList)
if not self.specialOutputSEs:
self.specialOutputSEs = [{}] * len(self.prodsTypeList)
if not self.ancestorDepths:
self.ancestorDepths = [0] * len(self.prodsTypeList)
# Checking if we need to split the merging step into many productions
if 'merge' in [pt.lower() for pt in self.prodsTypeList]:
i = 0
indexes = []
for pt in self.prodsTypeList:
if pt.lower() == 'merge':
indexes.append(i)
i += 1
for index in indexes:
# In this case and only in this case I have to split the merging in many productions
plugin = self.plugins[index]
outputSE = self.outputSEs[index]
specialOutputSE = self.specialOutputSEs[index]
priority = self.priorities[index]
cpu = self.cpus[index]
bkQuery = self.bkQueries[index]
groupSize = self.groupSizes[index]
preProd = self.previousProds[index]
removeInputsFlag = self.removeInputsFlags[index]
outputFileMask = self.outputFileMasks[index]
outputFileStep = self.outputFileSteps[index]
inputs = self.inputs[index]
idp = self.inputDataPolicies[index]
stepID = self.stepsList[index]
events = self.events[index]
targets = self.targets[index]
multicore = self.multicore[index]
outputMode = self.outputModes[index]
ancestorDepth = self.ancestorDepths[index]
if plugin.lower(
) != 'byrunfiletypesizewithflush' and 'rootmerging' not in plugin.lower(
):
stepToSplit = self.stepsListDict[index]
numberOfProdsToInsert = len(stepToSplit['fileTypesOut'])
self.prodsTypeList.remove('Merge')
self.plugins.pop(index)
self.outputSEs.pop(index)
self.specialOutputSEs.pop(index)
self.priorities.pop(index)
self.cpus.pop(index)
self.bkQueries.pop(index)
self.previousProds.pop(index)
self.groupSizes.pop(index)
self.removeInputsFlags.pop(index)
self.outputFileMasks.pop(index)
self.outputFileSteps.pop(index)
self.inputs.pop(index)
self.inputDataPolicies.pop(index)
self.stepsList.pop(index)
self.events.pop(index)
self.targets.pop(index)
self.multicore.pop(index)
self.outputModes.pop(index)
self.ancestorDepths.pop(index)
newSteps = _splitIntoProductionSteps(stepToSplit)
newSteps.reverse()
self.stepsListDict.remove(stepToSplit)
last = self.stepsInProds.pop(index)[0]
for x in xrange(numberOfProdsToInsert):
self.prodsTypeList.insert(index, 'Merge')
self.plugins.insert(index, plugin)
self.outputSEs.insert(index, outputSE)
self.specialOutputSEs.insert(index, specialOutputSE)
self.priorities.insert(index, priority)
self.cpus.insert(index, cpu)
self.bkQueries.insert(index, bkQuery)
self.groupSizes.insert(index, groupSize)
self.removeInputsFlags.insert(index, removeInputsFlag)
self.outputFileMasks.insert(index, outputFileMask)
self.outputFileSteps.insert(index, outputFileStep)
self.inputs.insert(index, inputs)
self.inputDataPolicies.insert(index, idp)
self.stepsList.insert(index, stepID)
self.previousProds.insert(index, preProd)
self.stepsListDict.insert(index, newSteps[x])
self.stepsInProds.insert(index + x, [last + x])
self.events.insert(index, events)
self.targets.insert(index, targets)
self.multicore.insert(index, multicore)
self.outputModes.insert(index, outputMode)
self.ancestorDepths.insert(index, ancestorDepth)
correctedStepsInProds = []
toInsert = self.stepsInProds[0][0]
lengths = [len(x) for x in self.stepsInProds]
for length in lengths:
li = [toInsert + x for x in xrange(length)]
toInsert += length
correctedStepsInProds.append(li)
self.stepsInProds = correctedStepsInProds
#############################################################################
def _getProdsDescriptionDict(self):
""" Returns a dictionary representing the description of the request (of all the productions in it)
"""
prodsDict = {}
prodNumber = 1
for prodType, stepsInProd, bkQuery, removeInputsFlag, outputSE, priority, \
cpu, inputD, outputMode, outFileMask, outFileStep, target, groupSize, plugin, idp, \
previousProd, events, multicore, ancestorDepth in itertools.izip(self.prodsTypeList,
self.stepsInProds,
self.bkQueries,
self.removeInputsFlags,
self.outputSEsPerFileType,
self.priorities,
self.cpus,
self.inputs,
self.outputModes,
self.outputFileMasks,
self.outputFileSteps,
self.targets,
self.groupSizes,
self.plugins,
self.inputDataPolicies,
self.previousProds,
self.events,
self.multicore,
self.ancestorDepths):
if not self.parentRequestID and self.requestID:
transformationFamily = self.requestID
else:
transformationFamily = self.parentRequestID
stepsInProdProdNameList = [
str(self.stepsList[index - 1]) +
str(self.stepsListDict[index - 1]['fileTypesIn'])
for index in stepsInProd
]
prodsDict[prodNumber] = {
'productionType': prodType,
'stepsInProd':
[self.stepsList[index - 1] for index in stepsInProd],
'bkQuery': bkQuery,
'removeInputsFlag': removeInputsFlag,
'tracking': 0,
'outputSE': outputSE,
'priority': priority,
'cpu': cpu,
'input': inputD,
'outputMode': outputMode,
'outputFileMask': outFileMask,
'outputFileStep': outFileStep,
'target': target,
'groupSize': groupSize,
'plugin': plugin,
'inputDataPolicy': idp,
'derivedProduction': 0,
'transformationFamily': transformationFamily,
'previousProd': previousProd,
'stepsInProd-ProdName': stepsInProdProdNameList,
'events': events,
'multicore': multicore,
'ancestorDepth': ancestorDepth
}
prodNumber += 1
# tracking the last production(s)
prodsDict[prodNumber - 1]['tracking'] = 1
typeOfLastProd = prodsDict[prodNumber - 1]['productionType']
index = 2
try:
while prodsDict[prodNumber -
index]['productionType'] == typeOfLastProd:
prodsDict[prodNumber - index]['tracking'] = 1
index += 1
except KeyError:
pass
# production derivation, if necessary
if self.derivedProduction:
prodsDict[1]['derivedProduction'] = self.derivedProduction
return prodsDict
#############################################################################
def _buildProduction(self,
prodType,
stepsInProd,
outputSE,
priority,
cpu,
inputDataList=None,
outputMode='Any',
inputDataPolicy='download',
outputFileMask='',
outputFileStep='',
target='',
removeInputData=False,
groupSize=1,
bkQuery=None,
plugin='',
previousProdID=0,
derivedProdID=0,
transformationFamily=0,
events=-1,
multicore='True',
ancestorDepth=0):
""" Wrapper around Production API to build a production, given the needed parameters
Args:
prodType (str): production type (e.g. 'DataStripping')
stepsInProd (list): list of steps in the production
outputSE (dict): dictionary that holds relation between file type and output SE
priority (int): production priority
cpu (int): CPU time, in HS06s for jobs in this production
Returns:
prod: a Production object
"""
prod = Production()
# non optional parameters
prod.LHCbJob.setType(prodType)
try:
fTypeIn = [ft.upper() for ft in stepsInProd[0]['fileTypesIn']]
except IndexError:
fTypeIn = []
prod.LHCbJob.workflow.setName(
'Request_%d_%s_%s_EventType_%s_%s_%s' %
(self.requestID, prodType, self.prodGroup, self.eventType, ''.join(
[x.split('.')[0] for x in fTypeIn]), self.appendName))
prod.setBKParameters(configName=self.outConfigName,
configVersion=self.configVersion,
groupDescriptionOrStepsList=stepsInProd,
conditions=self.dataTakingConditions)
prod.setParameter('eventType', 'string', self.eventType,
'Event Type of the production')
prod.setParameter('numberOfEvents', 'string', str(events),
'Number of events requested')
prod.setParameter('multicore', 'string', multicore,
'Flag for enabling gaudi parallel')
prod.prodGroup = self.prodGroup
prod.priority = priority
prod.LHCbJob.workflow.setDescrShort('prodDescription')
prod.LHCbJob.workflow.setDescription('prodDescription')
prod.LHCbJob.setCPUTime(cpu)
prod.plugin = plugin
# optional parameters
prod.jobFileGroupSize = groupSize
if inputDataPolicy:
prod.LHCbJob.setInputDataPolicy(inputDataPolicy)
prod.setOutputMode(outputMode)
if outputFileMask:
outputFileMask = [
m.lower() for m in outputFileMask.replace(' ', '').split(',')
]
if outputFileStep:
if isinstance(outputFileStep, str):
outputFileStep = [
m.lower()
for m in outputFileStep.replace(' ', '').split(',')
]
prod.setFileMask(outputFileMask, outputFileStep)
if target:
if target == 'Tier2':
prod.banTier1s()
elif 'BAN' in target:
sitesToBan = target.split(':')
if len(sitesToBan) > 1:
prod.banSites(sitesToBan[1:])
elif target != 'ALL':
prod.LHCbJob.setDestination(target)
prod.LHCbJob.setInputData(inputDataList)
if ancestorDepth:
prod.LHCbJob.setAncestorDepth(ancestorDepth)
if derivedProdID:
prod.ancestorProduction = derivedProdID
if transformationFamily:
prod.transformationFamily = transformationFamily
if self.fractionToProcess:
prod.setParameter('FractionToProcess', 'string',
str(self.fractionToProcess),
'Fraction to process')
if self.minFilesToProcess:
prod.setParameter('MinFilesToProcess', 'string',
str(self.minFilesToProcess),
'Min N of Files to process')
if self.processingPass:
prod.setParameter('processingPass', 'string', self.processingPass,
'Processing pass of input for the request')
# Adding optional input BK query
if bkQuery:
if bkQuery.lower() == 'full':
prod.inputBKSelection = self._getBKKQuery()
elif bkQuery.lower() == 'frompreviousprod':
prod.inputBKSelection = self._getBKKQuery(
'frompreviousprod', fTypeIn, previousProdID)
self.logger.verbose('Launching with BK selection %s' %
prod.inputBKSelection)
prod = self._addStepsToProd(prod,
stepsInProd,
removeInputData=removeInputData)
for ft, oSE in outputSE.items():
prod.outputSEs.setdefault(ft, oSE)
prod.LHCbJob.setDIRACPlatform()
return prod
#############################################################################
def _addStepsToProd(self,
prod,
stepsInProd,
stepsSequence='sequential',
removeInputData=False):
""" Given a Production object, add requested steps (application and finalization)
Args:
prod (Production): the Production object to which the steps are added
stepsInProd (DAG): DAG of steps in a production
stepsSequence (str or dict): applications steps sequence
removeInputData (bool): flag that indicates if the input data should be removed (for the finalization step)
Returns:
prod with steps added
"""
# Adding the application steps
firstStep = stepsInProd.pop(0)
stepName = prod.addApplicationStep(stepDict=firstStep,
modulesList=self.modulesList)
prod.gaudiSteps.append(stepName)
for step in stepsInProd:
stepName = prod.addApplicationStep(stepDict=step,
inputData='previousStep',
modulesList=self.modulesList)
prod.gaudiSteps.append(stepName)
# Adding the finalization step
if removeInputData:
prod.addFinalizationStep([
'UploadOutputData', 'RemoveInputData', 'UploadLogFile',
'UploadMC', 'FailoverRequest'
])
else:
prod.addFinalizationStep()
return prod
def _getBKKQuery(self, mode='full', fileType=None, previousProdID=0):
""" simply creates the bkk query dictionary
"""
if fileType is None:
fileType = []
if mode.lower() == 'full':
bkQuery = {
'FileType': ';;;'.join(self.bkFileType),
'EventType': str(self.eventType),
'ConfigName': self.configName,
'ConfigVersion': self.configVersion
}
if self.dataTakingConditions:
bkQuery['DataTakingConditions'] = self.dataTakingConditions
if self.processingPass:
bkQuery['ProcessingPass'] = self.processingPass
if self.dqFlag:
bkQuery['DataQualityFlag'] = self.dqFlag.replace(
',', ';;;').replace(' ', '')
if self.startRun and self.runsList or self.endRun and self.runsList:
raise ValueError(
"Please don't mix runs list with start/end run")
if self.endRun and self.startRun:
if self.endRun < self.startRun:
gLogger.error(
"Your end run '%d' should be more than your start run '%d'!"
% (self.endRun, self.startRun))
raise ValueError("Error setting start or end run")
if self.startRun:
bkQuery['StartRun'] = self.startRun
if self.endRun:
bkQuery['EndRun'] = self.endRun
if self.runsList:
bkQuery['RunNumbers'] = self.runsList.replace(',',
';;;').replace(
' ', '')
if self.visibility:
bkQuery['Visible'] = self.visibility
elif mode.lower() == 'frompreviousprod':
bkQuery = {
'FileType': ';;;'.join(fileType).replace(' ', ''),
'ProductionID': int(previousProdID)
}
if self.eventType:
bkQuery['EventType'] = str(self.eventType)
if self.dqFlag:
bkQuery['DataQualityFlag'] = self.dqFlag.replace(
',', ';;;').replace(' ', '')
return bkQuery
################################################################################
# properties
def set_stepsList(self, value):
listInt = []
i = 0
while True:
try:
listInt.append(int(value[i]))
i = i + 1
except ValueError:
break
except IndexError:
break
self._stepsList = listInt
def get_stepsList(self):
return self._stepsList
stepsList = property(get_stepsList, set_stepsList)
def set_startRun(self, value):
if isinstance(value, str):
value = int(value)
if value < 0:
raise ValueError("startRun can not be negative")
self._startRun = value
def get_startRun(self):
return self._startRun
startRun = property(get_startRun, set_startRun)
def set_endRun(self, value):
if isinstance(value, str):
value = int(value)
if value < 0:
raise ValueError("endRun can not be negative")
self._endRun = value
def get_endRun(self):
return self._endRun
endRun = property(get_endRun, set_endRun)
def set_requestID(self, value):
if value == '':
value = 0
if isinstance(value, str):
value = int(value)
if value < 0:
raise ValueError("requestID can not be negative")
self._requestID = value
def get_requestID(self):
return self._requestID
requestID = property(get_requestID, set_requestID)
def set_parentRequestID(self, value):
if value == '':
value = 0
if isinstance(value, str):
value = int(value)
if value < 0:
raise ValueError("parentRequestID can not be negative")
self._parentRequestID = value
def get_parentRequestID(self):
return self._parentRequestID
parentRequestID = property(get_parentRequestID, set_parentRequestID)
def set_bkFileType(self, value):
if isinstance(value, str):
value = value.replace(' ', '').split(',')
self._bkFileType = value
def get_bkFileType(self):
return self._bkFileType
bkFileType = property(get_bkFileType, set_bkFileType)
"""
This is a very simple bkk performance test. It calls the service with a message. The service
return the message.
"""
import time
from DIRAC.Core.Base.Script import parseCommandLine
parseCommandLine()
from LHCbDIRAC.BookkeepingSystem.Client.BookkeepingClient import BookkeepingClient
cl = BookkeepingClient()
class Transaction(object):
def __init__(self):
self.custom_timers = {}
def run(self):
start_time = time.time()
retVal = cl.echo("simple test")
if not retVal['OK']:
print 'ERROR', retVal['Message']
end_time = time.time()
self.custom_timers['Bkk_ResponseTime'] = end_time - start_time
self.custom_timers['Bkk_Echo'] = end_time - start_time
if __name__ == '__main__':
trans = Transaction()
def __init__(self, bkkClientIn=None, diracProdIn=None):
""" c'tor
Some variables are defined here. A production request is made of:
stepsList, productionsTypes, and various parameters of those productions
"""
if bkkClientIn is None:
self.bkkClient = BookkeepingClient()
else:
self.bkkClient = bkkClientIn
if diracProdIn is None:
self.diracProduction = DiracProduction()
else:
self.diracProduction = diracProdIn
self.rpcProductionRequest = RPCClient(
'ProductionManagement/ProductionRequest')
self.tc = TransformationClient()
self.logger = gLogger.getSubLogger('ProductionRequest')
self.opsH = Operations()
# parameters of the request
self.requestID = 0
self.parentRequestID = 0
self.appendName = '1'
self.outConfigName = ''
self.prodsToLaunch = [] # productions to launch
self.stepsListDict = [] # list of dict of steps
self.stepsInProds = [] # a list of lists
# parameters of the input data
self.processingPass = ''
self.dataTakingConditions = ''
self.eventType = ''
self.bkFileType = []
self.dqFlag = ''
self.startRun = 1
self.endRun = 2
self.runsList = ''
self.configName = 'test'
self.configVersion = 'certification'
# parameters of the first production
self.publishFlag = True
self.testFlag = False
self.derivedProduction = 0
self.previousProdID = 0 # optional prod from which to start
self.fullListOfOutputFileTypes = []
# parameters that are the same for each productions
self.prodGroup = '' # This ends up being 'ProcessingType', workflow parameter, and it is used for accounting
self.visibility = '' # For BKQuery
self.fractionToProcess = 0
self.minFilesToProcess = 0
self.modulesList = None # Usually:
# ['GaudiApplication', 'AnalyseXMLSummary',
# 'ErrorLogging', 'BookkeepingReport', 'StepAccounting' ]
# parameters of each production (the length of each list has to be the same as the number of productions
self.events = []
self.stepsList = []
self.extraOptions = {}
self.prodsTypeList = []
self.bkQueries = [] # list of bk queries
self.removeInputsFlags = []
self.priorities = []
self.cpus = []
self.inputs = [] # list of lists
self.outputModes = []
self.targets = []
self.outputFileMasks = []
self.outputFileSteps = []
self.groupSizes = []
self.plugins = []
self.inputDataPolicies = []
self.previousProds = [
None
] # list of productions from which to take the inputs (the first is always None)
self.multicore = [
] # list of flags to override the multi core flags of the steps
self.outputSEs = [] # a list of StorageElements
self.specialOutputSEs = [] # a list of dictionaries - might be empty
self.outputSEsPerFileType = [] # a list of dictionaries - filled later
self.ancestorDepths = []
self.compDict = {
'HIGH': 'Compression-LZMA-4',
'LOW': 'Compression-ZLIB-1'
}
self.compressionLvl = [''] # List: one compression level each step
self.appConfig = '$APPCONFIGOPTS/Persistency/' # Default location of the compression level configuration files
#
# These lists define the visibility of the output files produced by each step. For MC productions, the visibility
# is tied to compression level. VIsible files are compressed at the highest level
#
self.outputVisFlag = [
] # List of dictionary with default visibility flag of the output files per single step
self.specialOutputVisFlag = [
] # List of dictionaries with special visibility flag for given file type
class StorageHistoryAgent( AgentModule ):
def initialize( self ):
'''Sets defaults
'''
self.am_setOption( 'PollingTime', 43200 )
if self.am_getOption( 'DirectDB', False ):
from LHCbDIRAC.DataManagementSystem.DB.StorageUsageDB import StorageUsageDB
self.__stDB = StorageUsageDB()
else:
from DIRAC.Core.DISET.RPCClient import RPCClient
self.__stDB = RPCClient( 'DataManagement/StorageUsage' )
self.__workDirectory = self.am_getOption( "WorkDirectory" )
mkDir( self.__workDirectory )
self.log.info( "Working directory is %s" % self.__workDirectory )
self.__ignoreDirsList = self.am_getOption( 'Ignore', [] )
self.log.info( "List of directories to ignore for the DataStorage accounting: %s " % self.__ignoreDirsList )
self.__bkClient = BookkeepingClient()
self.__dataUsageClient = DataUsageClient()
self.cachedMetadata = {}
# build a dictionary with Event Type descriptions (to be send to accounting, instead of number Event Type ID)
self.eventTypeDescription = { 'na':'na', 'notInBkk':'notInBkk', 'FailedBkkQuery':'FailedBkkQuery', 'None':'None'}
self.limitForCommit = self.am_getOption( "LimitForCommit", 1000 )
self.callsToGetSummary = 0
self.callsToDirectorySummary = 0
self.callsToDudbForMetadata = 0
# keep count of calls to Bkk
self.callsToBkkgetDirectoryMetadata = 0
self.callsToBkkGetEvtType = 0
return S_OK()
def userStorageAccounting( self ):
self.log.notice( "-------------------------------------------------------------------------------------\n" )
self.log.notice( "Generate accounting records for user directories " )
self.log.notice( "-------------------------------------------------------------------------------------\n" )
result = self.__stDB.getUserSummary()
if not result[ 'OK' ]:
return result
userCatalogData = result[ 'Value' ]
print userCatalogData
self.log.notice( "Got summary for %s users" % ( len( userCatalogData ) ) )
result = self.__stDB.getUserSummaryPerSE()
if not result[ 'OK' ]:
return result
userSEData = result[ 'Value' ]
self.log.notice( "Got SE summary for %s users" % ( len( userSEData ) ) )
now = Time.dateTime()
numRows = 0
for user in sorted( userSEData ):
if user not in userCatalogData:
self.log.error( "User has SE data but not Catalog data!", user )
continue
for se in sorted( userSEData[ user ] ):
seData = userSEData[ user ][ se ]
usRecord = UserStorage()
usRecord.setStartTime( now )
usRecord.setEndTime( now )
usRecord.setValueByKey( "User", user )
usRecord.setValueByKey( "StorageElement", se )
usRecord.setValueByKey( "LogicalSize", userCatalogData[ user ][ 'Size' ] )
usRecord.setValueByKey( "LogicalFiles", userCatalogData[ user ][ 'Files' ] )
usRecord.setValueByKey( "PhysicalSize", seData[ 'Size' ] )
usRecord.setValueByKey( "PhysicalFiles", seData[ 'Files' ] )
usRecord.setValueByKey( "StorageSize", 0 )
usRecord.setValueByKey( "StorageFiles", 0 )
gDataStoreClient.addRegister( usRecord )
numRows += 1
self.log.notice( " User %s is using %.2f GiB (%s files)" % ( user,
userCatalogData[ user ][ 'Size' ] / ( 1024.0 ** 3 ),
userCatalogData[ user ][ 'Files' ] ) )
self.log.notice( "Sending %s records to accounting for user storage" % numRows )
res = gDataStoreClient.commit()
if not res[ 'OK' ]:
self.log.notice( "ERROR: committing UserStorage records: %s " % res )
return S_ERROR( res )
else:
self.log.notice( "%s records for UserStorage type successfully committed" % numRows )
def topDirectoryAccounting( self ):
self.log.notice( "-------------------------------------------------------------------------------------\n" )
self.log.notice( "Generate accounting records for top directories " )
self.log.notice( "-------------------------------------------------------------------------------------\n" )
ftb = 1.0e12
# get info from the DB about the LOGICAL STORAGE USAGE (from the su_Directory table):
result = self.__stDB.getSummary( '/lhcb/' )
if not result[ 'OK' ]:
return result
logicalUsage = result['Value']
topDirLogicalUsage = {} # build the list of first level directories
for row in logicalUsage:
# d, size, files = row
splitDir = row.split( "/" )
if len( splitDir ) > 3: # skip the root directory "/lhcb/"
firstLevelDir = '/' + splitDir[1] + '/' + splitDir[2] + '/'
topDirLogicalUsage.setdefault( firstLevelDir, {'Files':0, 'Size':0} )
topDirLogicalUsage[ firstLevelDir ][ 'Files' ] += logicalUsage[ row ][ 'Files' ]
topDirLogicalUsage[ firstLevelDir ][ 'Size' ] += logicalUsage[ row ][ 'Size' ]
self.log.notice( "Summary on logical usage of top directories: " )
for row in topDirLogicalUsage:
self.log.notice( "dir: %s size: %.4f TB files: %d" % ( row, topDirLogicalUsage[row]['Size'] / ftb,
topDirLogicalUsage[row]['Files'] ) )
# loop on top level directories (/lhcb/data, /lhcb/user/, /lhcb/MC/, etc..)
# to get the summary in terms of PHYSICAL usage grouped by SE:
seData = {}
for directory in topDirLogicalUsage:
result = self.__stDB.getDirectorySummaryPerSE( directory ) # retrieve the PHYSICAL usage
if not result[ 'OK' ]:
return result
seData[ directory ] = result[ 'Value' ]
self.log.notice( "Got SE summary for %s directories " % ( len( seData ) ) )
self.log.debug( "SEData: %s" % seData )
# loop on top level directories to send the accounting records
numRows = 0
now = Time.dateTime()
for directory in seData:
self.log.debug( "dir: %s SEData: %s " % ( directory, seData[ directory ] ) )
if directory not in topDirLogicalUsage:
self.log.error( "Dir %s is in the summary per SE, but it is not in the logical files summary!" % directory )
continue
for se in sorted( seData[ directory ] ):
storageRecord = Storage()
storageRecord.setStartTime( now )
storageRecord.setEndTime( now )
storageRecord.setValueByKey( "Directory", directory )
storageRecord.setValueByKey( "StorageElement", se )
storageRecord.setValueByKey( "LogicalFiles", topDirLogicalUsage[ directory ][ 'Files' ] )
storageRecord.setValueByKey( "LogicalSize", topDirLogicalUsage[ directory ][ 'Size' ] )
try:
physicalFiles = seData[ directory ][ se ][ 'Files' ]
except:
self.log.error( "WARNING! no files replicas for directory %s on SE %s" % ( directory, se ) )
physicalFiles = 0
try:
physicalSize = seData[ directory ][ se ][ 'Size' ]
except:
self.log.error( "WARNING! no size for replicas for directory %s on SE %s" % ( directory, se ) )
physicalSize = 0
storageRecord.setValueByKey( "PhysicalFiles", physicalFiles )
storageRecord.setValueByKey( "PhysicalSize", physicalSize )
gDataStoreClient.addRegister( storageRecord )
numRows += 1
self.log.debug( "Directory: %s SE: %s physical size: %.4f TB (%d files)" % ( directory,
se,
physicalSize / ftb,
physicalFiles ) )
self.log.notice( "Sending %s records to accounting for top level directories storage" % numRows )
res = gDataStoreClient.commit()
if not res[ 'OK' ]:
self.log.notice( "ERROR: committing Storage records: %s " % res )
return S_ERROR( res )
else:
self.log.notice( "%s records for Storage type successfully committed" % numRows )
def bkPathAccounting( self ):
self.log.notice( "-------------------------------------------------------------------------------------\n" )
self.log.notice( "Generate accounting records for DataStorage type " )
self.log.notice( "-------------------------------------------------------------------------------------\n" )
# counter for DataStorage records, commit to the accounting in bunches of self.limitForCommit records
self.totalRecords = 0
self.recordsToCommit = 0
self.log.notice( " Call the function to create the StorageUsageDB dump.." )
res = self.generateStorageUsagePerDir()
if not res[ 'OK' ]:
self.log.error( "ERROR generating the StorageUsageDB dump per directory" )
return S_ERROR()
# Keep a list of all directories in FC that are not found in the Bkk
self.directoriesNotInBkk = []
# for debugging purposes build dictionaries with storage usage to compare with the accounting plots
self.debug_seUsage = {}
self.debug_seUsage_acc = {}
# set the time for the accounting records (same time for all records)
now = Time.dateTime()
# Get the directory metadata in a bulk query
metaForList = self.__getMetadataForAcc( self.dirDict.values() )
# loop on all directories to get the bkk metadata
for dirLfn, fullDirectory in self.dirDict.iteritems():
if dirLfn not in fullDirectory:
self.log.error( "ERROR: fullDirectory should include the dirname: %s %s " % ( fullDirectory, dirLfn ) )
continue
self.log.info( "Processing directory %s " % dirLfn )
if dirLfn not in self.pfnUsage:
self.log.error( "ERROR: directory does not have PFN usage %s " % dirLfn )
continue
self.log.verbose( "PFN usage: %s " % self.pfnUsage[ dirLfn ] )
if dirLfn not in self.lfnUsage:
self.log.error( "ERROR: directory does not have LFN usage %s " % dirLfn )
continue
self.log.verbose( "LFN usage: %s " % self.lfnUsage[ dirLfn ] )
# for DEBUGGING:
for se in self.pfnUsage[ dirLfn ]:
self.debug_seUsage.setdefault( se, {'Files': 0 , 'Size' : 0 } )
self.debug_seUsage[ se ][ 'Files' ] += self.pfnUsage[ dirLfn ][ se ][ 'Files' ]
self.debug_seUsage[ se ][ 'Size' ] += self.pfnUsage[ dirLfn ][ se ][ 'Size' ]
# end of DEBUGGING
# get metadata for this directory
metaForDir = metaForList.get( fullDirectory, {} )
if not metaForDir:
self.log.warn( "Metadata not available for directory %s" % fullDirectory )
continue
# Fill in the accounting record
self.log.info( "Fill the record for %s and metadata: %s " % ( dirLfn, metaForDir ) )
res = self.fillAndSendAccountingRecord( dirLfn, metaForDir, now )
if not res['OK']:
return res
for se in self.pfnUsage[ dirLfn ]:
self.debug_seUsage_acc.setdefault( se, { 'Files': 0 , 'Size': 0 } )
self.debug_seUsage_acc[ se ][ 'Files' ] += self.pfnUsage[ dirLfn ][ se ][ 'Files' ]
self.debug_seUsage_acc[ se ][ 'Size' ] += self.pfnUsage[ dirLfn ][ se ][ 'Size' ]
# Don't forget to commit the remaining records!
self.__commitRecords()
def execute( self ):
if self.am_getOption( "CleanBefore", False ):
self.log.notice( "Cleaning the DB" )
result = self.__stDB.purgeOutdatedEntries( "/lhcb/user", self.am_getOption( "OutdatedSeconds", 86400 * 10 ) )
if not result[ 'OK' ]:
return result
self.log.notice( "Purged %s outdated records" % result[ 'Value' ] )
# User accounting (per user and SE)
self.userStorageAccounting()
# Accounting per top directory
self.topDirectoryAccounting()
# full production data accounting
self.bkPathAccounting()
self.log.notice( "-------------------------------------------------------------------------------------\n" )
self.log.notice( "------ End of cycle report for DataStorage accounting--------------------------------\n" )
self.log.notice( "Total directories found in FC: %d " % len( self.dirDict ) )
totalCallsToStorageUsage = self.callsToGetSummary + self.callsToDirectorySummary
self.log.notice( "Total calls to StorageUsage: %d , took: %d s " % ( totalCallsToStorageUsage, self.genTotalTime ) )
totalCallsToBkk = self.callsToBkkgetDirectoryMetadata + self.callsToBkkGetEvtType
self.log.notice( "Total calls to DataUsage for cache: %d" % self.callsToDudbForMetadata )
self.log.notice( "Total calls to Bookkeeping: %d (getDirectoryMetadata: %d, getEventType: %d)" % ( totalCallsToBkk,
self.callsToBkkgetDirectoryMetadata,
self.callsToBkkGetEvtType ) )
self.log.notice( "Total records sent to accounting for DataStorage: %d " % self.totalRecords )
self.log.notice( "Directories not found in Bookkeeping: %d " % ( len( self.directoriesNotInBkk ) ) )
fileName = os.path.join( self.__workDirectory, "directoriesNotInBkk.txt" )
self.log.notice( "written to file: %s " % fileName )
f = open( fileName, "w" )
for d in self.directoriesNotInBkk:
f.write( "%s\n" % d )
f.close()
# for DEBUG only
self.log.info( "Summary of StorageUsage: files size " )
for se in sorted( self.debug_seUsage ):
self.log.info( "all: %s %d %d Bytes ( %.2f TB ) " % ( se, self.debug_seUsage[ se ]['Files'],
self.debug_seUsage[ se ]['Size'],
self.debug_seUsage[ se ]['Size'] / 1.0e12 ) )
if se in self.debug_seUsage_acc:
self.log.info( "acc: %s %d %d Bytes ( %.2f TB ) " % ( se, self.debug_seUsage_acc[ se ]['Files'],
self.debug_seUsage_acc[ se ]['Size'],
self.debug_seUsage_acc[ se ]['Size'] / 1.0e12 ) )
else:
self.log.info( "SE not in self.debug_seUsage_acc keys" )
return S_OK()
def __getMetadataForAcc( self, dirList ):
""" Get metadata for a directory either from memory, from the storageDB or from BK """
# Try and get the metadata from memory cache
notFound = []
metaForList = {}
for dirName in dirList:
metaForList[dirName] = self.cachedMetadata.get( dirName, {} )
if not metaForList[dirName]:
notFound.append( dirName )
notInCache = []
if notFound:
self.log.info( "Memory metadata cache missed for %d directories" % len( notFound ) )
self.log.verbose( "call getDirMetadata for (first 10): %s " % str( notFound[0:10] ) )
for dirChunk in breakListIntoChunks( notFound, 10000 ):
self.callsToDudbForMetadata += 1
res = self.__dataUsageClient.getDirMetadata( dirChunk ) # this could be a bulk query for a list of directories
if not res[ 'OK' ]:
self.log.error( "Error retrieving %d directories meta-data %s " % ( len( dirChunk ), res['Message'] ) )
# this usually happens when directories are removed from FC between the StorageUsageDB dump and this call,
# if the Db is refreshed exactly in this time interval. Not really a problem.
#######################3 just a try ##############################################3
notInCache += dirChunk
continue
self.log.verbose( "getDirMetadata returned: %s " % str( res['Value'] ) )
for dirName in dirChunk:
# Compatibility with old (list for single file) and new (dictionary) service
if type( res['Value'] ) == type( {} ):
metaTuple = res['Value'].get( dirName, () )
elif len( dirList ) == 1 and res['Value']:
metaTuple = res['Value'][0]
else:
metaTuple = ()
if metaTuple and metaTuple[3] is not None:
metaForDir = metaForList[dirName]
_dirID, metaForDir[ 'DataType' ], metaForDir[ 'Activity' ], metaForDir[ 'Conditions' ], metaForDir[ 'ProcessingPass' ], \
metaForDir[ 'EventType' ], metaForDir[ 'FileType' ], metaForDir[ 'Production' ], metaForDir['Visibility'] = metaTuple
else:
notInCache.append( dirName )
failedBK = []
if notInCache:
cachedFromBK = []
self.log.info( "Directory metadata cache missed for %d directories => query BK and cache" % len( notInCache ) )
for dirChunk in breakListIntoChunks( notInCache, 200 ):
self.callsToBkkgetDirectoryMetadata += 1
res = self.__bkClient.getDirectoryMetadata( dirChunk )
if not res[ 'OK' ]:
self.log.error( "Totally failed to query Bookkeeping", res[ 'Message' ] )
failedBK += dirChunk
for dirName in dirChunk:
metaForDir = metaForList[dirName]
_fillMetadata( metaForDir, 'FailedBkkQuery' )
else:
bkMetadata = res['Value']
self.log.debug( "Successfully queried Bookkeeping, result: %s " % bkMetadata )
for dirName in dirChunk:
metaForDir = metaForList[dirName]
# BK returns a list of metadata, chose the first one...
metadata = bkMetadata['Successful'].get( dirName, [{}] )[0]
if metadata and metadata.get( 'ConditionDescription' ) is not None:
metadata['Visibility'] = metadata.pop( 'VisibilityFlag', metadata.get( 'Visibility', 'na' ) )
# All is OK, directory found
_fillMetadata( metaForDir, metadata )
self.log.verbose( "Cache entry %s in DirMetadata table.." % dirName )
resInsert = self.__dataUsageClient.insertToDirMetadata( { dirName: metadata} )
if not resInsert[ 'OK' ]:
self.log.error( "Failed to cache metadata in DirMetadata table! %s " % resInsert[ 'Message' ] )
else:
cachedFromBK.append( dirName )
self.log.verbose( "Successfully cached metadata for %s : %s" % ( dirName, str( metadata ) ) )
self.log.debug( "result: %s " % str( resInsert ) )
else:
# Directory not found
self.log.verbose( "Directory %s not registered in Bookkeeping!" % dirName )
_fillMetadata( metaForDir, 'notInBkk' )
failedBK.append( dirName )
self.directoriesNotInBkk.append( dirName )
# Translate a few keys for accounting
for bkName, accName in ( ( 'ConfigName', 'DataType' ), ( 'ConfigVersion', 'Activity' ), ( 'ConditionDescription', 'Conditions' ) ):
metaForDir[accName] = metaForDir.pop( bkName, 'na' )
self.log.info( 'Successfully cached %d directories from BK' % len( cachedFromBK ) )
if self.directoriesNotInBkk:
self.log.warn( '%d directories not found in BK' % len( self.directoriesNotInBkk ) )
# cache locally the metadata
for dirName in [dn for dn in notFound if dn not in failedBK]:
metaForDir = metaForList[dirName]
# Translate the numerical event type to a description string
metaForDir['EventType'] = self.__getEventTypeDescription( metaForDir.pop( 'EventType', 'na' ) )
self.cachedMetadata[ dirName] = metaForDir.copy()
else:
self.log.info( "Memory metadata cache hit for %d directories" % len( dirList ) )
return metaForList
def __commitRecords( self ):
if self.recordsToCommit:
res = gDataStoreClient.commit()
if not res[ 'OK' ]:
self.log.error( "Accounting ERROR: commit returned %s" % res )
else:
self.log.notice( "%d records committed " % self.recordsToCommit )
self.recordsToCommit = 0
self.log.notice( "commit for DataStorage returned: %s" % res )
def generateStorageUsagePerDir( self ):
'''Generate a dump of the StorageUsageDB and keep it in memory in a dictionary
(new version of Apr 2012)
'''
start = time.time()
self.log.notice( 'Starting from path: /lhcb/' )
res = self.__stDB.getStorageDirectories( '/lhcb/' )
if not res['OK']:
return S_ERROR()
totalDirList = res['Value']
self.log.info( "Total directories retrieved from StorageUsageDB: %d " % len( totalDirList ) )
# select only terminal directories (directories without sub-directories)
# mc directory structure: /lhcb/MC/[year]/[file type]/[prod]/0000/ => len = 7
# raw data: /lhcb/data/2011/RAW/FULL/LHCb/COLLISION11/99983
# => len 9 (under /lhcb/data/ from 2011 only RAW, before 2011 also other file types)
# processed data: under both /lhcb/data and /lhcb/LHCb/
# /lhcb/data/2010/DST/00009300/0000
# data: /lhcb/LHCb/Collision12/ICHEP.DST/00017399/0000/
self.dirDict = {}
ignoredDirectories = dict.fromkeys( self.__ignoreDirsList, 0 )
self.log.info( "Directories to be ignored: %s " % str( sorted( ignoredDirectories ) ) )
for dirItem in totalDirList:
# make sure that last character is a '/'
dirItem = _standardDirectory( dirItem )
splitDir = dirItem.split( '/' )
if len( splitDir ) < 4: # avoid picking up intermediate directories which don't contain files, like /lhcb/
self.log.warn( "Directory %s skipped, as top directory" % dirItem )
continue
secDir = splitDir[ 2 ]
if secDir in ignoredDirectories:
self.log.verbose( "Directory to be ignored, skipped: %s " % dirItem )
ignoredDirectories[ secDir ] += 1
continue
# for each type of directory (MC, reconstructed data and runs) check the format, in order not to count more than
# once the productions with more than one sub-directory
# for MC directories:
# example: '/lhcb/MC/MC10/ALLSTREAMS.DST/00010908/0000/',
# or /lhcb/MC/2011/DST/00010870/0000
# one directory for each file type
# for data
# /lhcb/LHCb/Collision11/SWIMSTRIPPINGD02KSPIPI.MDST/00019088/0000/
# for raw data: /lhcb/data/2012/RAW/FULL/LHCb/COLLISION12/133784/
try:
dataType = splitDir[ -6 ]
if dataType == "RAW":
self.log.verbose( "RAW DATA directory: %s" % splitDir )
directory = '/'.join( splitDir[:-1] )
fullDirectory = directory
else:
suffix = splitDir[ -2 ] # is the sub-directory suffix 0000, 0001, etc...
self.log.verbose( "MC or reconstructed data directory: %s" % splitDir )
if splitDir[-3] == 'HIST':
directory = '/'.join( splitDir[:-1] )
fullDirectory = directory
self.log.verbose( "histo dir: %s " % directory )
else:
directory = '/'.join( splitDir[:-2] )
fullDirectory = os.path.join( directory, suffix )
directory = _standardDirectory( directory )
fullDirectory = _standardDirectory( fullDirectory )
if directory not in self.dirDict:
self.dirDict[ directory ] = fullDirectory
self.log.verbose( "Directory contains production files: %s " % directory )
except:
self.log.warn( "The directory has unexpected format: %s " % splitDir )
self.lfnUsage = {}
self.pfnUsage = {}
totalDiscardedDirs = 0
self.log.info( "Directories that have been discarded:" )
for dd in ignoredDirectories:
self.log.info( "/lhcb/%s - %d " % ( dd, ignoredDirectories[ dd ] ) )
totalDiscardedDirs += ignoredDirectories[ dd ]
self.log.info( "Total discarded directories: %d " % totalDiscardedDirs )
self.log.info( "Retrieved %d dirs from StorageUsageDB containing prod files" % len( self.dirDict ) )
self.log.info( "Getting the number of files and size from StorageUsage service" )
for d in self.dirDict:
self.log.verbose( "Get storage usage for directory %s " % d )
res = self.__stDB.getDirectorySummaryPerSE( d )
self.callsToDirectorySummary += 1
if not res[ 'OK' ]:
self.log.error( "Cannot retrieve PFN usage %s" % res['Message'] )
continue
if d not in self.pfnUsage:
self.pfnUsage[ d ] = res['Value']
self.log.verbose( "Get logical usage for directory %s " % d )
res = self.__stDB.getSummary( d )
self.callsToGetSummary += 1
if not res[ 'OK' ]:
self.log.error( "Cannot retrieve LFN usage %s" % res['Message'] )
continue
if not res['Value']:
self.log.error( "For dir %s getSummary returned an empty value: %s " % ( d, str( res ) ) )
continue
self.lfnUsage.setdefault( d, {} )
for retDir, dirInfo in res['Value'].iteritems():
if d in retDir:
self.lfnUsage[ d ][ 'LfnSize' ] = dirInfo['Size']
self.lfnUsage[ d ][ 'LfnFiles'] = dirInfo['Files']
self.log.verbose( "PFN usage: %s" % self.pfnUsage[ d ] )
self.log.verbose( "LFN usage: %s" % self.lfnUsage[ d ] )
end = time.time()
self.genTotalTime = end - start
self.log.info( "StorageUsageDB dump completed in %d s" % self.genTotalTime )
return S_OK()
def __getEventTypeDescription( self, eventType ):
# convert eventType to string:
try:
eventType = int( eventType )
except:
pass
# check that the event type description is in the cached dictionary, and otherwise query the Bkk
if eventType not in self.eventTypeDescription:
self.log.notice( "Event type description not available for eventTypeID %s, getting from Bkk" % eventType )
res = self.__bkClient.getAvailableEventTypes()
self.callsToBkkGetEvtType += 1
if not res['OK']:
self.log.error( "Error querying the Bkk: %s" % res['Message'] )
else:
self.eventTypeDescription.update( dict( res['Value'] ) )
self.log.verbose( "Updated self.eventTypeDescription dict: %s " % str( self.eventTypeDescription ) )
# If still not found, log it!
if eventType not in self.eventTypeDescription:
self.log.error( "EventType %s is not in cached dictionary" % str( eventType ) )
return self.eventTypeDescription.get( eventType, 'na' )
def fillAndSendAccountingRecord( self, lfnDir, metadataDict, now ):
''' Create, fill and send to accounting a record for the DataStorage type.
'''
dataRecord = DataStorage()
dataRecord.setStartTime( now )
dataRecord.setEndTime( now )
logicalSize = self.lfnUsage[ lfnDir ][ 'LfnSize' ]
logicalFiles = self.lfnUsage[ lfnDir ][ 'LfnFiles' ]
dataRecord.setValueByKey( "LogicalSize", logicalSize )
dataRecord.setValueByKey( "LogicalFiles", logicalFiles )
for key in ( 'DataType', 'Activity', 'FileType', 'Production', 'ProcessingPass', 'Conditions', 'EventType' ):
dataRecord.setValueByKey( key, metadataDict.get( key, 'na' ) )
self.log.verbose( ">>> Send DataStorage record to accounting:" )
self.log.verbose( "\tlfnFiles: %d lfnSize: %d " % ( logicalFiles, logicalSize ) )
for se in self.pfnUsage[ lfnDir ]:
self.log.verbose( "Filling accounting record for se %s" % se )
physicalSize = self.pfnUsage[ lfnDir ][ se ][ 'Size' ]
physicalFiles = self.pfnUsage[ lfnDir ][ se ][ 'Files' ]
dataRecord.setValueByKey( "StorageElement", se )
dataRecord.setValueByKey( "PhysicalSize", physicalSize )
dataRecord.setValueByKey( "PhysicalFiles", physicalFiles )
self.log.verbose( "\t\tStorageElement: %s --> physFiles: %d physSize: %d " % ( se, physicalFiles, physicalSize ) )
# addRegister is NOT making a copy, therefore all records are otherwise overwritten
res = gDataStoreClient.addRegister( copy.deepcopy( dataRecord ) )
if not res[ 'OK']:
self.log.error( "addRegister returned: %s" % res )
return S_ERROR( "addRegister returned: %s" % res )
# Reset logical information to zero in order to send it only once!
dataRecord.setValueByKey( "LogicalSize", 0 )
dataRecord.setValueByKey( "LogicalFiles", 0 )
self.totalRecords += 1
self.recordsToCommit += 1
# Commit if necessary
if self.recordsToCommit > self.limitForCommit:
self.__commitRecords()
return S_OK()
class TransformationCleaningAgent(DiracTCAgent):
""" .. class:: TransformationCleaningAgent
"""
def __init__(self, *args, **kwargs):
""" c'tor
"""
DiracTCAgent.__init__(self, *args, **kwargs)
self.directoryLocations = ['TransformationDB', 'StorageUsage']
self.archiveAfter = 7
self.fileTypesToKeep = ['GAUSSHIST']
self.bkClient = None
self.transClient = None
self.storageUsageClient = None
#############################################################################
def initialize(self):
""" Standard initialize method for agents
"""
DiracTCAgent.initialize(self)
self.directoryLocations = sorted(
self.am_getOption('DirectoryLocations', self.directoryLocations))
self.archiveAfter = self.am_getOption('ArchiveAfter',
self.archiveAfter) # days
self.fileTypesToKeep = Operations().getValue(
'Transformations/FileTypesToKeep', self.fileTypesToKeep)
self.bkClient = BookkeepingClient()
self.transClient = TransformationClient()
self.storageUsageClient = StorageUsageClient()
return S_OK()
def cleanMetadataCatalogFiles(self, transID):
""" clean the metadata using BKK and Data Manager. This method is a replacement of the one from base class
:param self: self reference
:param int transID: transformation ID
"""
res = self.bkClient.getProductionFiles(transID, 'ALL', 'Yes')
if not res['OK']:
return res
bkMetadata = res['Value']
fileToRemove = []
yesReplica = []
self.log.info(
"Found a total of %d files in the BK for transformation %d" %
(len(bkMetadata), transID))
for lfn, metadata in bkMetadata.iteritems():
if metadata['FileType'] != 'LOG':
fileToRemove.append(lfn)
if metadata['GotReplica'] == 'Yes':
yesReplica.append(lfn)
if fileToRemove:
self.log.info(
"Attempting to remove %d possible remnants from the catalog and storage"
% len(fileToRemove))
# Executing with shifter proxy
gConfigurationData.setOptionInCFG(
'/DIRAC/Security/UseServerCertificate', 'false')
res = DataManager().removeFile(fileToRemove, force=True)
gConfigurationData.setOptionInCFG(
'/DIRAC/Security/UseServerCertificate', 'true')
if not res['OK']:
return res
for lfn, reason in res['Value']['Failed'].iteritems():
self.log.error("Failed to remove file found in BK",
"%s %s" % (lfn, reason))
if res['Value']['Failed']:
return S_ERROR("Failed to remove all files found in the BK")
if yesReplica:
self.log.info(
"Ensuring that %d files are removed from the BK" %
(len(yesReplica)))
res = FileCatalog(
catalogs=['BookkeepingDB']).removeFile(yesReplica)
if not res['OK']:
return res
for lfn, reason in res['Value']['Failed'].iteritems():
self.log.error("Failed to remove file from BK",
"%s %s" % (lfn, reason))
if res['Value']['Failed']:
return S_ERROR("Failed to remove all files from the BK")
self.log.info("Successfully removed all files found in the BK")
return S_OK()
def getTransformationDirectories(self, transID):
""" get the directories for the supplied transformation from the transformation system
:param self: self reference
:param int transID: transformation ID
"""
res = DiracTCAgent.getTransformationDirectories(self, transID)
if not res['OK']:
return res
directories = res['Value']
if isinstance(directories, basestring): # Check for (stupid) formats
directories = ast.literal_eval(directories)
if not isinstance(directories, list):
return S_ERROR("Wrong format of output directories")
if 'StorageUsage' in self.directoryLocations:
res = self.storageUsageClient.getStorageDirectories(
'', '', transID, [])
if not res['OK']:
self.log.error("Failed to obtain storage usage directories",
res['Message'])
return res
transDirectories = res['Value']
directories = self._addDirs(transID, transDirectories, directories)
if not directories:
self.log.info("No output directories found")
# We should be removing from the list of directories
# those directories created for file types that are part of those:
# - uploaded (as output files)
# - not merged by subsequent steps
# but this is pretty difficult to identify at run time, so we better remove the "RemovingFiles" production status
# and replace it with a flush (this applies only to MC).
# So we just have a created list.
fileTypesToKeepDirs = []
for fileTypeToKeep in self.fileTypesToKeep:
fileTypesToKeepDirs.extend(
[x for x in directories if fileTypeToKeep in x])
directories = list(
set(directories).difference(set(fileTypesToKeepDirs)))
directories = sorted(directories)
return S_OK(directories)
class fakeClient:
def __init__(self, trans, transID, lfns, asIfProd):
self.trans = trans
self.transID = transID
from DIRAC.TransformationSystem.Client.TransformationClient import TransformationClient
self.transClient = TransformationClient()
from LHCbDIRAC.BookkeepingSystem.Client.BookkeepingClient import BookkeepingClient
self.bk = BookkeepingClient()
from DIRAC.DataManagementSystem.Client.DataManager import DataManager
self.dm = DataManager()
self.asIfProd = asIfProd
(self.transFiles, self.transReplicas) = self.prepareForPlugin(lfns)
def addFilesToTransformation(self, transID, lfns):
return S_OK({
'Failed': {},
'Successful': dict([(lfn, 'Added') for lfn in lfns])
})
def getTransformation(self, transID, extraParams=False):
if transID == self.transID and self.asIfProd:
transID = self.asIfProd
if transID != self.transID:
return self.transClient.getTransformation(transID)
res = self.trans.getType()
return DIRAC.S_OK({'Type': res['Value']})
def getReplicas(self):
return self.transReplicas
def getFiles(self):
return self.transFiles
def getCounters(self, table, attrList, condDict):
if condDict['TransformationID'] == self.transID and self.asIfProd:
condDict['TransformationID'] = self.asIfProd
if condDict['TransformationID'] != self.transID:
return self.transClient.getCounters(table, attrList, condDict)
possibleTargets = [
'CERN-RAW', 'CNAF-RAW', 'GRIDKA-RAW', 'IN2P3-RAW', 'SARA-RAW',
'PIC-RAW', 'RAL-RAW', 'RRCKI-RAW'
]
counters = []
for se in possibleTargets:
counters.append(({'UsedSE': se}, 0))
return DIRAC.S_OK(counters)
def getBookkeepingQuery(self, transID):
if transID == self.transID and self.asIfProd:
return self.transClient.getBookkeepingQuery(asIfProd)
return self.trans.getBkQuery()
def insertTransformationRun(self, transID, runID, xx):
return DIRAC.S_OK()
def getTransformationRuns(self, condDict):
if condDict['TransformationID'] == self.transID and self.asIfProd:
condDict['TransformationID'] = self.asIfProd
if condDict['TransformationID'] == self.transID:
transRuns = []
runs = condDict.get('RunNumber', [])
if not runs and self.transFiles:
res = self.bk.getFileMetadata(
[fileDict['LFN'] for fileDict in self.transFiles])
if not res['OK']:
return res
runs = list(
set(meta['RunNumber']
for meta in res['Value']['Successful'].itervalues()))
for run in runs:
transRuns.append({
'RunNumber': run,
'Status': "Active",
"SelectedSite": None
})
return DIRAC.S_OK(transRuns)
else:
return self.transClient.getTransformationRuns(condDict)
def getTransformationFiles(self, condDict=None):
if condDict.get('TransformationID') == self.transID and self.asIfProd:
condDict['TransformationID'] = self.asIfProd
if condDict.get('TransformationID') == self.transID:
transFiles = []
if 'Status' in condDict and 'Unused' not in condDict['Status']:
return DIRAC.S_OK(transFiles)
runs = None
if 'RunNumber' in condDict:
runs = condDict['RunNumber']
if not isinstance(runs, list):
runs = [runs]
for fileDict in self.transFiles:
if not runs or fileDict['RunNumber'] in runs:
transFiles.append({
'LFN': fileDict['LFN'],
'Status': 'Unused',
'RunNumber': fileDict['RunNumber']
})
return DIRAC.S_OK(transFiles)
else:
return self.transClient.getTransformationFiles(condDict=condDict)
def setParameterToTransformationFiles(self, transID, lfnDict):
"""
Update the transFiles with some parameters
"""
if transID == self.transID:
for fileDict in self.transFiles:
fileDict.update(lfnDict.get(fileDict['LFN'], {}))
return S_OK()
else:
return self.transClient.setParameterToTransformationFiles(
transID, lfnDict)
def getTransformationFilesCount(self, transID, field, selection=None):
if selection is None:
selection = {}
if transID == self.transID or selection.get(
'TransformationID') == self.transID:
runs = selection.get('RunNumber')
if runs and not isinstance(runs, list):
runs = [runs]
if field == 'Status':
counters = {'Unused': 0}
for fileDict in self.transFiles:
if not runs or fileDict['RunNumber'] in runs:
counters['Unused'] += 1
elif field == 'RunNumber':
counters = {}
for fileDict in self.transFiles:
runID = fileDict['RunNumber']
if not runs or runID in runs:
counters.setdefault(runID, 0)
counters[runID] += 1
else:
return DIRAC.S_ERROR('Not implemented for field ' + field)
counters['Total'] = sum(count for count in counters.itervalues())
return DIRAC.S_OK(counters)
else:
return self.transClient.getTransformationFilesCount(
transID, field, selection=selection)
def getTransformationRunStats(self, transIDs):
counters = {}
for transID in transIDs:
if transID == self.transID:
for fileDict in self.transFiles:
runID = fileDict['RunNumber']
counters[transID][runID]['Unused'] = counters.setdefault(
transID, {}).setdefault(runID, {}).setdefault(
'Unused', 0) + 1
for runID in counters[transID]:
counters[transID][runID]['Total'] = counters[transID][
runID]['Unused']
else:
res = self.transClient.getTransformationRunStats(transIDs)
if res['OK']:
counters.update(res['Value'])
else:
return res
return DIRAC.S_OK(counters)
def addRunsMetadata(self, runID, val):
return self.transClient.addRunsMetadata(runID, val)
def getRunsMetadata(self, runID):
return self.transClient.getRunsMetadata(runID)
def setTransformationRunStatus(self, transID, runID, status):
return DIRAC.S_OK()
def setTransformationRunsSite(self, transID, runID, site):
return DIRAC.S_OK()
def setFileStatusForTransformation(self, transID, status, lfns):
return DIRAC.S_OK()
def addTransformationRunFiles(self, transID, run, lfns):
return DIRAC.S_OK()
def setDestinationForRun(self, runID, site):
return DIRAC.S_OK()
def getDestinationForRun(self, runID):
return self.transClient.getDestinationForRun(runID)
def prepareForPlugin(self, lfns):
import time
print "Preparing the plugin input data (%d files)" % len(lfns)
type = self.trans.getType()['Value']
if not lfns:
return (None, None)
res = self.bk.getFileMetadata(lfns)
if res['OK']:
files = []
for lfn, metadata in res['Value']['Successful'].iteritems():
runID = metadata.get('RunNumber', 0)
runDict = {"RunNumber": runID, "LFN": lfn}
files.append(runDict)
else:
print "Error getting BK metadata", res['Message']
return ([], {})
replicas = {}
startTime = time.time()
from DIRAC.Core.Utilities.List import breakListIntoChunks
for lfnChunk in breakListIntoChunks(lfns, 200):
# print lfnChunk
if type.lower() in ("replication", "removal"):
res = self.dm.getReplicas(lfnChunk, getUrl=False)
else:
res = self.dm.getReplicasForJobs(lfnChunk, getUrl=False)
# print res
if res['OK']:
for lfn, ses in res['Value']['Successful'].iteritems():
if ses:
replicas[lfn] = sorted(ses)
else:
print "Error getting replicas of %d files:" % len(
lfns), res['Message']
print "Obtained replicas of %d files in %.3f seconds" % (
len(lfns), time.time() - startTime)
return (files, replicas)
########################################################################
"""
Insert new file types in the Bookkeeping
"""
__RCSID__ = "$Id$"
import DIRAC
from DIRAC.Core.Base import Script
Script.setUsageMessage('\n'.join([ __doc__.split('\n')[1],
'Usage:',
' %s [option|cfgfile]' % Script.scriptName ]))
Script.parseCommandLine(ignoreErrors=True)
from LHCbDIRAC.BookkeepingSystem.Client.BookkeepingClient import BookkeepingClient
bk = BookkeepingClient()
exitCode = 0
ftype = raw_input("FileType: ")
desc = raw_input("Description: ")
version = raw_input("File type version: ")
print 'Do you want to add this new file type? (yes or no)'
value = raw_input('Choice:')
choice = value.lower()
if choice in ['yes', 'y']:
res = bk.insertFileTypes(ftype.upper(), desc, version)
if res['OK']:
print 'The file types added successfully!'
else:
print "Error discovered!", res['Message']
Script.setUsageMessage('\n'.join([
__doc__.split('\n')[1], 'Usage:',
' %s [option|cfgfile] ... ProdID' % Script.scriptName, 'Arguments:',
' ProdID: Production ID'
]))
Script.parseCommandLine(ignoreErrors=True)
args = Script.getPositionalArgs()
import types
if len(args) < 1:
Script.showHelp()
exitCode = 0
from LHCbDIRAC.BookkeepingSystem.Client.BookkeepingClient import BookkeepingClient
bk = BookkeepingClient()
prod = long(args[0])
res = bk.getProductionInformations(prod)
if res['OK']:
val = res['Value']
print "Production Info: "
infs = val["Production informations"]
if infs != None:
for inf in infs:
if inf[2] != None:
print ' Configuration Name:', inf[0]
print ' Configuration Version:', inf[1]
print ' Event type:', inf[2]
class PopularityAgent(AgentModule):
"""
.. class:: PopularityAgent
"""
# # DataUsageClient
__dataUsageClient = None
# # StorageUsageDB instance or DMS/DataUsage RPS client
__stDB = None
# # BKK Client
__bkClient = None
# # work directory
__workDirectory = None
# # counter for records to be sent to the accouting
numPopRows = None
def initialize(self):
""" agent initialisation """
self.am_setOption('PollingTime', 43200)
if self.am_getOption('DirectDB', False):
self.__stDB = StorageUsageDB()
# self.bkClient = BookkeepingClient()#the necessary method is still not available in Bookk. client
else:
self.__stDB = RPCClient('DataManagement/DataUsage')
timeout = 600
self.__bkClient = BookkeepingClient()
self.__dataUsageClient = DataUsageClient()
self.__workDirectory = self.am_getOption("WorkDirectory")
mkDir(self.__workDirectory)
self.log.info("Working directory is %s" % self.__workDirectory)
# by default, collects raw records from Popularity table inserted in the last day
self.timeInterval = self.am_getOption(
'timeIntervalForPopularityRecords', 1)
self.queryTimeout = self.am_getOption('queryTimeout', 3600)
self.cacheMetadata = {}
self.limitForCommit = self.am_getOption("LimitForCommit", 1000)
return S_OK()
# .........................................................................................
def execute(self):
""" Main loop of Popularity agent """
now = datetime.now()
endTime = datetime(now.year, now.month, now.day, 0, 0, 0)
startTime = endTime - timedelta(days=self.timeInterval)
endTimeQuery = endTime.isoformat()
startTimeQuery = startTime.isoformat()
# query all traces in popularity in the time rage startTime,endTime and status =new
# the condition to get th etraces is the AND of the time range and the status new
self.log.info(
"Querying Pop db to retrieve entries in time range %s - %s " %
(startTimeQuery, endTimeQuery))
status = 'New'
res = self.__dataUsageClient.getDataUsageSummary(
startTimeQuery, endTimeQuery, status, timeout=self.queryTimeout)
if not res['OK']:
self.log.error("Error querying Popularity table.. %s" %
res['Message'])
return S_ERROR(res['Message'])
val = res['Value']
self.log.info("Retrieved %d entries from Popularity table" % len(val))
# Build popularity report, and store the Ids in a list:
idList = set()
traceDict = {}
for row in val:
self.log.debug("row: %s" % str(row))
rowId, dirLfn, site, count, insertTime = row
if rowId not in idList:
idList.add(rowId)
else:
self.log.error("Same Id found twice! %d " % rowId)
continue
if dirLfn.startswith('/lhcb/user/'):
self.log.verbose(
"Private user directory. No metadata stored in Bkk %s " %
dirLfn)
continue
# get the day (to do )
dayBin = (insertTime - startTime).days
traceDict[dayBin][dirLfn][site] = \
traceDict.setdefault(dayBin, {}).setdefault(dirLfn, {}).setdefault(site, 0) + count
# print a summary
dayList = sorted(traceDict)
for day in dayList:
self.log.info(" ###### day %s (starting from %s ) " %
(day, startTimeQuery))
self.log.info("---- %d directories touched:" % len(traceDict[day]))
for lfn in traceDict[day]:
self.log.verbose(" ---- lfn %s " % lfn)
for site in traceDict[day][lfn]:
self.log.verbose(" -------- site %s count: %d " %
(site, traceDict[day][lfn][site]))
self.log.info("Retrieve meta-data information for each directory ")
now = Time.dateTime()
self.numPopRows = 0 # keep a counter of the records to send to accounting data-store
for day in traceDict:
timeForAccounting = self.computeTimeForAccounting(startTime, day)
self.log.info("Processing day %s - time for accounting %s " %
(day, timeForAccounting))
for dirLfn in traceDict[day]:
# did = configName = configVersion = conditions = processingPass = eventType = fileType = production = "na"
# retrieve the directory meta-data from the DirMetadata table
self.log.info("Processing dir %s " % dirLfn)
metaForDir = self.cacheMetadata.get(dirLfn)
if not metaForDir:
dirList = [dirLfn]
# this could be done in a bulk query for a list of directories... TBD
res = self.__dataUsageClient.getDirMetadata(dirList)
if not res['OK']:
self.log.error(
"Error retrieving directory meta-data %s " %
res['Message'])
continue
dirMetadata = res['Value'].get(dirLfn)
if not res['Value'] or not dirMetadata:
self.log.info(
"Cache missed: query BK to retrieve '%s' metadata and store cache"
% dirList)
res = self.__bkClient.getDirectoryMetadata(dirList)
if not res['OK']:
self.log.error("Failed to query Bookkeeping %s" %
res['Message'])
metadata = None
else:
self.log.verbose(
"Successfully queried Bookkeeping, result: %s "
% res)
metadata = res['Value'].get('Successful',
{}).get(dirLfn,
[{}])[0]
if not metadata:
self.log.warn(
"Directory is not registered in Bookkeeping! %s "
% dirLfn)
configName = configVersion = conditions = processingPass = eventType = fileType = production = "na"
else:
metadata['Visibility'] = metadata.pop(
'VisibilityFlag',
metadata.get('Visibility', 'na'))
configName = metadata['ConfigName']
configVersion = metadata['ConfigVersion']
conditions = metadata['ConditionDescription']
processingPass = metadata['ProcessingPass']
eventType = metadata['EventType']
fileType = metadata['FileType']
production = metadata['Production']
self.log.info(
"Cache this entry in DirMetadata table..")
res = self.__dataUsageClient.insertToDirMetadata(
{dirLfn: metadata})
if not res['OK']:
self.log.error(
"Failed to insert metadata in DirMetadata table! %s "
% res['Message'])
else:
self.log.info(
"Successfully inserted metadata for directory %s in DirMetadata table "
% dirLfn)
self.log.verbose("result: %s " % res)
else:
self.log.info(
"Directory %s was cached in DirMetadata table" %
dirLfn)
try:
__did, configName, configVersion, conditions, \
processingPass, eventType, fileType, production = dirMetadata[0:8]
except BaseException:
self.log.error(
"Error decoding directory cached information",
dirMetadata)
continue
self.cacheMetadata[dirLfn] = (configName, configVersion,
conditions, processingPass,
eventType, fileType,
production)
else:
configName, configVersion, conditions, processingPass, eventType, fileType, production = metaForDir
for site in traceDict[day][dirLfn]:
usage = traceDict[day][dirLfn][site]
# compute the normalized usage, dividing by the number of files in the directory:
normUsage = usage # to be done! after we have decided how to normalize
# Build record for the accounting
popRecord = Popularity()
popRecord.setStartTime(timeForAccounting)
popRecord.setEndTime(timeForAccounting)
popRecord.setValueByKey("DataType", configName)
popRecord.setValueByKey("Activity", configVersion)
popRecord.setValueByKey("FileType", fileType)
popRecord.setValueByKey("Production", production)
popRecord.setValueByKey("ProcessingPass", processingPass)
popRecord.setValueByKey("Conditions", conditions)
popRecord.setValueByKey("EventType", eventType)
popRecord.setValueByKey("StorageElement", site)
popRecord.setValueByKey("Usage", usage)
popRecord.setValueByKey("NormalizedUsage", normUsage)
res = gDataStoreClient.addRegister(popRecord)
if not res['OK']:
self.log.error("ERROR: addRegister returned: %s" %
res['Message'])
continue
self.numPopRows += 1
self.log.info(
">>> Sending record to accounting for: %s %s %s %s %s %s %s %s %s %d %d "
% (timeForAccounting, configName, configVersion,
fileType, production, processingPass, conditions,
eventType, site, usage, normUsage))
if self.numPopRows > self.limitForCommit:
res = self.__commitAccounting()
if not res['OK']:
return res
# then set the status to Used
res = self.__commitAccounting()
if not res['OK']:
return res
self.log.info("Set the status to Used for %d entries" % len(idList))
from DIRAC.Core.Utilities.List import breakListIntoChunks
for idChunk in breakListIntoChunks(list(idList), 1000):
res = self.__dataUsageClient.updatePopEntryStatus(
list(idChunk), 'Used', timeout=self.queryTimeout)
if not res['OK']:
self.log.error(
"Error to update status in Popularity table.. %s" %
res['Message'])
return res
self.log.info("Status updated to Used correctly for %s entries " %
len(idList))
return S_OK()
# .........................................................................................
def __commitAccounting(self):
res = gDataStoreClient.commit()
if not res['OK']:
self.log.error(
"while committing %d Popularity records" % self.numPopRows,
res['Message'])
else:
self.log.info(
"%s records for Popularity type successfully committed" %
self.numPopRows)
self.numPopRows = 0
return res
def computeTimeForAccounting(self, startTime, day):
""" Compute the time for the accounting record, starting from the start time of the query and the day bin
"""
self.log.verbose(
"find time for accounting for startTime: %s + day %s " %
(startTime, day))
daysToAdd = timedelta(
days=day, hours=12
) # add 12h just to put the value in the middle of time bin
self.log.verbose("timedelta to add: %s " % daysToAdd)
accTime = startTime + daysToAdd
self.log.verbose("accTime = %s " % accTime)
return accTime
