python.trfReports Namespace Reference

Classes
class	machineReport
	Report on the machine where we ran. More...
class	trfExecutorReport
	Class to contain metadata for an executor. More...
class	trfFileReport
	Class to contain metadata for file types. More...
class	trfJobReport
	Class holding a transform job report. More...
class	trfReport
	Base (almost virtual) report from which all real transform reports derive. More...

Functions
	pyJobReportToFileDict (jobReport, io='all')
	Small helper function to extract a per-datatype dictionary from a job report of lists.
	exeResourceReport (exe, report)

Variables
str	__version__ = '$Revision: 784023 $'
	msg = logging.getLogger(__name__)
dict	defaultFileReport = {'input': 'name', 'temporary': None, 'output': 'full'}
	Default values for file reporting.

Function Documentation

exeResourceReport()

python.trfReports.exeResourceReport	(		exe,
			report )

Definition at line 636 of file trfReports.py.

def exeResourceReport(exe, report):
    exeResource = {'cpuTime': report.roundoff(exe.cpuTime),
                   'wallTime': report.roundoff(exe.wallTime),
                   'preExe': {
                       'cpuTime': report.roundoff(exe.preExeCpuTime),
                       'wallTime': report.roundoff(exe.preExeWallTime),
                       },
                   'postExe': {
                       'cpuTime': report.roundoff(exe.postExeCpuTime),
                       'wallTime': report.roundoff(exe.postExeWallTime),
                       },
                   'validation': {
                       'cpuTime': report.roundoff(exe.validationCpuTime),
                       'wallTime': report.roundoff(exe.validationWallTime),
                       },
                   'total': {
                       'cpuTime': report.roundoff(exe.cpuTimeTotal),
                       'wallTime': report.roundoff(exe.wallTimeTotal),
                       },
                   }
 
    if exe.memStats:
        exeResource['memory'] = exe.memStats
    if exe.memAnalysis:
        exeResource['memoryAnalysis'] = exe.memAnalysis
    if exe.eventCount:
        exeResource['nevents'] = exe.eventCount
    if exe.name=='ReSim':
        exeResource['resimevents'] = exe.reSimEvent
    if exe.athenaMP:
        exeResource['mpworkers'] = exe.athenaMP
        exeResource['cpuTimePerWorker'] = report.roundoff(exe.cpuTime/exe.athenaMP)
    if exe.dbMonitor:
        exeResource['dbData'] = exe.dbMonitor['bytes']
        exeResource['dbTime'] = report.roundoff(exe.dbMonitor['time'])
        report._dbDataTotal += exeResource['dbData']
        report._dbTimeTotal += exeResource['dbTime']
    return exeResource

pyJobReportToFileDict()

python.trfReports.pyJobReportToFileDict	(		jobReport,
			io = 'all' )

Small helper function to extract a per-datatype dictionary from a job report of lists.

Definition at line 624 of file trfReports.py.

def pyJobReportToFileDict(jobReport, io = 'all'):
    dataDict = {}
    if 'files' not in jobReport:
        msg.warning('Job report has no "files" section')
        return dataDict
    for iotype in jobReport['files']:
        if io == 'all' or io == iotype:
            for filedata in jobReport['files'][iotype]:
                dataDict[filedata['type']] = filedata
    return dataDict
 
 

Variable Documentation

__version__

str python.trfReports.__version__ = '$Revision: 784023 $'

private

Definition at line 11 of file trfReports.py.

defaultFileReport

dict python.trfReports.defaultFileReport = {'input': 'name', 'temporary': None, 'output': 'full'}

Default values for file reporting.

Definition at line 36 of file trfReports.py.

msg

python.trfReports.msg = logging.getLogger(__name__)

Definition at line 27 of file trfReports.py.