本文整理汇总了Python中ProdCommon.MCPayloads.WorkflowSpec.WorkflowSpec.save方法的典型用法代码示例。如果您正苦于以下问题:Python WorkflowSpec.save方法的具体用法?Python WorkflowSpec.save怎么用?Python WorkflowSpec.save使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类ProdCommon.MCPayloads.WorkflowSpec.WorkflowSpec
的用法示例。
在下文中一共展示了WorkflowSpec.save方法的4个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: createWorkflow
# 需要导入模块: from ProdCommon.MCPayloads.WorkflowSpec import WorkflowSpec [as 别名]
# 或者: from ProdCommon.MCPayloads.WorkflowSpec.WorkflowSpec import save [as 别名]
def createWorkflow(self, runNumber, primaryDataset,
processedDataset, dataTier):
"""
_createWorkflow_
Create a workflow for a given run and primary dataset. If the workflow
has been created previously, load it and use it.
"""
jobCache = os.path.join(self.args["ComponentDir"], "T0ASTPlugin",
"Run" + runNumber)
if not os.path.exists(jobCache):
os.makedirs(jobCache)
workflowSpecFileName = "DQMHarvest-Run%s-%s-workflow.xml" % (runNumber, primaryDataset)
workflowSpecPath = os.path.join(jobCache, workflowSpecFileName)
if os.path.exists(workflowSpecPath):
msg = "Loading existing workflow for dataset: %s\n " % primaryDataset
msg += " => %s\n" % workflowSpecPath
logging.info(msg)
workflowSpec = WorkflowSpec()
workflowSpec.load(workflowSpecPath)
return (workflowSpec, workflowSpecPath)
msg = "No workflow found for dataset: %s\n " % primaryDataset
msg += "Looking up software version and generating workflow..."
recoConfig = self.t0astWrapper.listRecoConfig(runNumber, primaryDataset)
if not recoConfig["DO_RECO"]:
logging.info("RECO disabled for dataset %s" % primaryDataset)
return (None, None)
globalTag = self.args.get("OverrideGlobalTag", None)
if globalTag == None:
globalTag = recoConfig["GLOBAL_TAG"]
cmsswVersion = self.args.get("OverrideCMSSW", None)
if cmsswVersion == None:
cmsswVersion = recoConfig["CMSSW_VERSION"]
datasetPath = "/%s/%s/%s" % (primaryDataset, processedDataset, dataTier)
workflowSpec = createHarvestingWorkflow(datasetPath, self.site,
self.args["CmsPath"],
self.args["ScramArch"],
cmsswVersion, globalTag,
configFile=self.args["ConfigFile"],
DQMServer=self.args['DQMServer'],
proxyLocation=self.args['proxyLocation'],
DQMCopyToCERN=self.args['DQMCopyToCERN'],
doStageOut=self.args['DoStageOut'])
workflowSpec.save(workflowSpecPath)
msg = "Created Harvesting Workflow:\n %s" % workflowSpecPath
logging.info(msg)
self.publishWorkflow(workflowSpecPath, workflowSpec.workflowName())
return (workflowSpec, workflowSpecPath)
示例2: WorkflowSpec
# 需要导入模块: from ProdCommon.MCPayloads.WorkflowSpec import WorkflowSpec [as 别名]
# 或者: from ProdCommon.MCPayloads.WorkflowSpec.WorkflowSpec import save [as 别名]
for opt,arg in opts:
if opt == '--workflow':
workflow = arg
if workflow is None:
msg = 'Please provide workflow file path parameter i.e --workflow=file_path'
raise RuntimeError, msg
else:
try:
spec = WorkflowSpec()
spec.load(workflow)
spec.parameters['PreStage'] = 'True'
spec.save(workflow)
except Exception, ex:
msg = 'Exception caught while enabling prestage\n'
msg += str(ex)
raise RuntimeError, msg
return
if __name__ == "__main__":
setPrestage()
示例3: CMSSWConfig
# 需要导入模块: from ProdCommon.MCPayloads.WorkflowSpec import WorkflowSpec [as 别名]
# 或者: from ProdCommon.MCPayloads.WorkflowSpec.WorkflowSpec import save [as 别名]
try:
loader.load()
except Exception, ex:
msg = "Couldn't load CMSSW libraries: %s" % ex
raise RuntimeError, msg
loadedModule = imp.load_source( os.path.basename(cfgFile).replace(".py", ""), cfgFile )
cmsRunNode.cfgInterface = CMSSWConfig()
loadedConfig = cmsRunNode.cfgInterface.loadConfiguration(loadedModule.process)
loadedConfig.validateForProduction()
loader.unload()
# generate Dataset information for workflow from cfgInterface
for moduleName,outMod in cmsRunNode.cfgInterface.outputModules.items():
outMod["LFNBase"] = lfnbase
outMod["logicalFileName"] = os.path.join(
lfnbase, "%s.root" % moduleName
)
WorkflowTools.addStageOutNode(cmsRunNode, "stageOut1")
workflow.save("%s-Workflow.xml" % workflowName)
print "Created: %s-Workflow.xml" % workflowName
print "From: %s " % cfgFile
示例4: __call__
# 需要导入模块: from ProdCommon.MCPayloads.WorkflowSpec import WorkflowSpec [as 别名]
# 或者: from ProdCommon.MCPayloads.WorkflowSpec.WorkflowSpec import save [as 别名]
def __call__(self, node):
if node.name == self.name:
self.result = node
return
finder = NodeFinder(stageOutNode)
spec.payload.operate(finder)
node = finder.result
if not node.type == "StageOut":
msg = "Node %s is not a StageOut node\n" % stageOutNode
msg += "It is a node of type: %s\n" % node.type
raise RuntimeError, msg
#node.configuration = ""
addStageOutOverride(node, override['command'],
override['option'],
override['se-name'],
override['lfn-prefix'])
spec.save(specFile)
sys.exit(0)