def getSite4Region(self, regions):
regs = None
if utils.isValid(regions):
rgs = utils.parseArray(regions)
regs = []
for r in rgs:
regs += self._site4regions[r]
return regs
def getSite4Region(self, regions):
regs = None
if utils.isValid(regions):
rgs = utils.parseArray(regions)
regs = []
for r in rgs:
regs += self._site4regions[r]
return regs
def __init__(self,name=None,parent=None,obj=None):
pmModule.__init__(self,name,parent,obj)
self._jobstates = utils.jobStates
self._lstates = len(self._jobstates)
actIndex = utils.name2Index(self._jobstates,'activated')+1
canIndex = utils.name2Index(self._jobstates,'cancelled')+1
self._jobsFactoryStates = utils.parseArray(self._jobstates[:actIndex])
self._jobsWNStates = utils.parseArray(self._jobstates[actIndex:canIndex-1])
self._jobsCaneledStates = utils.parseArray(self._jobstates[canIndex:])
shift = 1
self._shift = shift
self._ifailed = utils.name2Index(self._jobstates,'failed')+shift
self._itotal = self._lstates+shift
self._ifail = 0
self._description,params = utils.normalizeDbSchema(pmt,'jobsarchived4')
self.publishUI(self.doQuery,params = params)
def doJson(self,
pandaid,
message=None,
host=None,
timestamp=None,
errorcode=None,
test=None):
""" Contact Us Panda Monitor Modules """
usr = self.server().user()
pandaid = utils.parseArray(pandaid)
plid = len(pandaid)
main = {}
if plid >= 1: main['pandaid'] = pandaid[0]
if plid >= 2:
main['taskid'] = pandaid[1]
if plid == 2 and usr != None:
pandaid.append(usr)
plid = len(pandaid)
if plid >= 3:
pandaid[2] = pmt.cleanUserID(pandaid[2]).replace(' ', '+')
main['user'] = pandaid[2]
if usr != None:
mail = self.server().email()
if mail == None and test != None:
mail = '*****@*****.**'
main['username'] = usr
if mail != None:
main['mail'] = mail
msg = self.message(pandaid, message, host, timestamp,
errorcode)
msg += self.signature()
subject = self.subject(pandaid)
toaddrs = ''
if test == None:
toaddrs = '[email protected] [email protected] '
# toaddrs+='%s %s %s' % ('*****@*****.**', '*****@*****.**', mail)
toaddrs += '%s %s' % ('*****@*****.**', mail)
main['message'] = msg
main[
'subject'] = subject if test == None else 'Test: %s ' % subject
main['toaddrs'] = toaddrs
response = pmt.sendmail(msg, subject, toaddrs, fromaddr=mail)
main['response'] = response
self.publishTitle("User %s sent support mail from %s" %
(usr, mail))
else:
self.publishTitle("User %s wanted to send the support mail " %
usr)
self.publish(main)
else:
self.publishTitle(
"Unknown user, please use the Web https protocol.")
self.publish(main)
self.publish({'s-maxage': 0, 'max-age': 0}, role=pmRoles.cache())
def isValid(self, params, exceptions=None):
""" Check whether the extra parameters are valid """
if params != None:
p = utils.parseArray(params)
ex = self.extraParams()
for nxp in p:
if exceptions != None and nxp in exceptions: continue
if ex == None or not nxp in ex:
raise ValueError(
"Unexpected module parameter : '%s' from : \n\t '%s' \n"
% (nxp, "'\n\t'".join(sorted(ex.keys()))))
return True
def isValid(self, params, exceptions=None):
""" Check whether the extra parameters are valid """
if params != None:
p = utils.parseArray(params)
ex = self.extraParams()
for nxp in p:
if exceptions != None and nxp in exceptions:
continue
if ex == None or not nxp in ex:
raise ValueError(
"Unexpected module parameter : '%s' from : \n\t '%s' \n"
% (nxp, "'\n\t'".join(sorted(ex.keys())))
)
return True
def doJson(self, pandaid, message=None,host=None,timestamp=None,errorcode=None,test=None):
""" Contact Us Panda Monitor Modules """
usr = self.server().user()
pandaid = utils.parseArray(pandaid)
plid = len(pandaid)
main = {}
if plid >= 1: main['pandaid'] = pandaid[0]
if plid >= 2:
main['taskid'] = pandaid[1]
if plid == 2 and usr != None:
pandaid.append(usr)
plid = len(pandaid)
if plid >= 3:
pandaid[2] = pmt.cleanUserID(pandaid[2]).replace(' ','+')
main['user'] = pandaid[2]
if usr != None:
mail = self.server().email()
if mail == None and test != None:
mail = '*****@*****.**'
main['username']= usr
if mail != None:
main['mail']= mail
msg = self.message(pandaid, message, host,timestamp,errorcode);
msg += self.signature()
subject = self.subject(pandaid)
toaddrs = ''
if test == None: toaddrs = '[email protected] [email protected] '
# toaddrs+='%s %s %s' % ('*****@*****.**', '*****@*****.**', mail)
toaddrs+='%s %s' % ( '*****@*****.**', mail)
main['message'] = msg;
main['subject'] = subject if test==None else 'Test: %s ' % subject
main['toaddrs'] = toaddrs
response = pmt.sendmail(msg,subject,toaddrs,fromaddr=mail)
main['response'] = response
self.publishTitle("User %s sent support mail from %s" % (usr,mail) )
else:
self.publishTitle("User %s wanted to send the support mail " % usr )
self.publish(main)
else:
self.publishTitle("Unknown user, please use the Web https protocol.")
self.publish(main)
self.publish( {'s-maxage':0,'max-age': 0}, role=pmRoles.cache())
def doJson(self,lfn=None, jobs=None,type='input',ds=None,table='new',limit=1000,jobstatus=None,site=None,jobtype='production',days=1,user=None,select=None):
"""
Show the list of Panda id with LFN or versa verse LFNs by Panda IDs
<ul>
<li><code>lfn</code> - the list of the comma separated files
<li><code>ds</code> - the list of the comma separated datasets
<li><code>jobs</code> - the list of the comma separated Panda's job IDs
<li><code>table</code> = "new" (default) look up the records for last 3 days
<br> ="old" - look up the records those more than 3 days old (slow)
<br> ="deep" - look up the "old" and "new" tables (slow)
<li><code>type</code> - the type selector. <br>
= 'input - the default value<br>
= '*' | 'all' - list all types available.
<li><code>jobstatus</code> = the comma separated list of the job status to filter
<br>For example: 'defined, waiting,assigned,activated,sent,starting,running'
<li><code>site</code> = the comma separated list of the sizte to list the jobs from
<br> For example 'UTA_SWT2'
<li><code>jobtype</code> = the comma separated list of the job type to filter
<br> For example, "analysis, production"
<li><code>days</code> = the number of the days to look up the list of the jobs if either 'jobstatus' or 'site' parameter is defined
<li><code>user</code> = the comma separated list of the usernames .
<br>NB. The names may contain the the wildcard symbol '*'. Be aware the wildcard slows the search down
</ul>
"""
title = 'The list of files for the '
if jobstatus and jobstatus.strip() =='': jobstatus = None
if site and site.strip() =='': site = None
if lfn and lfn.strip() =='': lfn = None
if jobs and isinstance(jobs,str) and jobs.strip() =='': jobs = None
if ds and ds.strip() =='': ds=None
if type and type.strip() =='': type='all'
if lfn==None and jobs==None and ds==None and jobstatus==None and site==None:
self.publishTitle("Ambigios query: lfn=%(lfn)s; pandaid=%(pandaid)s either lfn or padaid can be defined. One can not define lfn and pandaid at once" % { 'lfn': lfn, 'pandaid' : jobs} )
self.publish('<h2>Check the input parameters. Click the "?" to see the API documentaion<h2>', role=pmRoles.html())
else:
nav = ''
if limit:
nav += "Limit %s rows." % limit
if type=='*' or type==None: type = 'all'
if lfn != None:
self.publishTitle("The list of the PANDA jobs with the LFN of the '%s' type provided" % type)
if not '*' in lfn: # disregard the jobtype parameter
if utils.isFilled(jobtype):
nav += " Disregarding the jobtype='%s' default parameter" % jobtype
jobtype = None
if ds != None:
self.publishTitle("The list of the PANDA jobs with the DATASETs of the '%s' type provided" % type)
if jobs!=None:
self.publishTitle("The list of the '%s' LFN with the PANDA Job IDs provided" % type)
if utils.isFilled(nav):
self.publishNav(nav)
main = {}
main["buffer"] = {}
main["buffer"]["method"] = "joblfn"
main["buffer"]["params"] = (lfn if lfn!=None else '',jobs if jobs!= None else '' )
if jobs != None: main["buffer"]["jobs"] = jobs
main["buffer"]["type"] = False
if (utils.isFilled(jobstatus) or utils.isFilled(site) or utils.isFilled(user)) and not utils.isFilled(jobs):
tables = ['atlas_panda.jobsArchived4','atlas_panda.jobsActive4','atlas_panda.jobsWaiting4','atlas_panda.jobsDefined4']
r = pmt.getJobIds(site, jobtype,jobstatus,table=tables,days=days,username=user)
jobs = [i[0] for i in r['rows']]
if not utils.isFilled(select):
select = []
if jobs == None or ( not isinstance(jobs,int) and len(jobs) > 1): select.append('pandaid');
select += ['type', 'lfn', 'fsize', 'dataset', 'guid', 'scope', 'destinationse']
else:
select = utils.parseArray(select);
main["buffer"]["data"] = pmt.getJobLFN(select=','.join(select),table=table,lfn=lfn,pandaid=jobs,type=type,ds=ds,limit=limit)
self.publish(main)
self.publish( "%s/%s" % (self.server().fileScriptURL(),"taskBuffer/%s.js" % "getJobLFN"),role=pmRoles.script())
def doJobs(
self,
pandaid=None,
params=None,
jobparam=None,
table=None,
hours=None,
tstart=None,
tend=None,
field="modificationTime",
days=None,
format=None,
jobtype=None,
testsite=None,
limit=1500,
summary=None,
minjob=1,
dump=None,
region=None,
lfn=None,
showcpu=None,
):
## Perform the query
main = {}
errorcolcheck = False
selection = "*"
vals = self.extraValuesFilled(self._alias)
title = "PanDA Job(s)"
if utils.isFilled(pandaid):
hours = None
days = None
title += " %s " % pandaid
if days != None:
title += " for %.2f Day" % float(days)
if days > 1:
title += "s"
if hours != None:
if days == None:
title += " for "
title += " %d Hour" % int(hours)
if hours > 1:
title += "s"
if vals != None:
for k in vals.keys():
if vals[k] == "undefined":
vals[k] = None
elif (
vals[k] != None
and k.lower() == "jobstatus"
and (
vals[k].lower().find("prerun") >= 0
or vals[k].lower().find("finishing") >= 0
or vals[k].lower().find("unassigned") >= 0
or vals[k].lower().find("retried") >= 0
)
):
stvals = utils.parseArray(vals[k])
statvals = []
for v in stvals:
if v.lower() == "prerun":
statvals += ["defined", "assigned", "waiting", "activated", "pending", "sent", "starting"]
elif v.lower() == "finishing":
statvals += ["holding", "transferring"]
elif v.lower() == "unassigned":
vals["computingSite"] = "NULL"
statvals += ["cancelled"]
elif v.lower() == "retried":
# See the slide 3 from Tadashi: https://indico.cern.ch/getFile.py/access?contribId=13&sessionId=11&resId=0&materialId=slides&confId=119171
vals["taskBufferErrorCode"] = [106, 107]
statvals += ["failed"]
else:
statvals += [v]
vals[k] = ",".join(statvals)
cleanVal = dict((k, v) for k, v in vals.iteritems() if v is not None)
vals = cleanVal
if vals == None:
vals = {}
nav = ""
certificate = None
certusr = None
try:
cert = self.server().certificate()
if cert != None:
certusr = pmt.cleanUserID(cert)
main["ceruser"] = certusr
except:
pass
if vals.get("prodUserName") == "auto" and certusr != None:
if cert != None:
vals["prodUserName"] = certusr
for v in vals:
nav += "<b>%s</b>=%s " % (v, vals[v])
# nav += "<span id=linkjobid stule='display:inline'></span>"
# nav +="<script>$(document).ready(function(){$('#linkjobid').html(utils().linkJobs(s.cloud,jobtype"
# nav += jobtype if jobtype!=None else "undefined"
# nav += ", s.jobStatus, "
# nav += "%d" % hours if hours!=None else "undefined"
# nav += ", s.computingSite,'Classic Page' ))});</script>";
if not utils.isFilled(summary):
nav += "<b>%s</b>=%s " % ("limit", limit)
self.publishNav(nav)
if len(vals) == 0:
vals = None
if vals == None and jobparam == None:
main["Description"] = self.description()
else:
if lfn != None and lfn != "undefined":
lfnselect = "pandaid,lfn"
lfnjobs = pmt.getJobLFN(select=lfnselect, table="new", lfn=lfn, pandaid=pandaid, type="*", limit=limit)
if lfnjobs["rows"] > 0:
pandaid = [ljobs[0] for ljobs in lfnjobs["rows"]]
selection = {}
if vals != None:
selection.update(vals)
if pandaid != None:
selection.update({nmap.get("pandaid"): pandaid})
if region != None:
selection.update({"region": region})
main["Selection"] = selection
conditions = vals
if conditions == None:
conditions = {}
cs = conditions.get("computingSite")
if cs == None:
site4region = self.getSite4Region(region)
if site4region != None and len(site4region) > 0:
conditions["computingSite"] = site4region
else:
pass # ignore the region parameter
if utils.isValid(summary):
jobtype = (
"production"
if jobtype == None
and jobparam.lower().find("taskid") >= 0
and jobparam.lower().find("jeditaskid") < 0
else jobtype
)
jobs = pmt.getJobsAtt(
pandaid,
jobparam,
conditions,
None,
hours,
tstart,
tend,
field,
days,
format,
jobtype,
testsite,
None,
True,
)
rows = jobs["rows"]
indx = []
if len(rows) > 30:
for i, r in enumerate(rows):
try:
if r[1] > minjob:
indx.append(i)
continue
except:
pass
cleanrows = [rows[i] for i in indx]
jobs["rows"] = cleanrows
istatus = utils.name2Index(jobs["header"], "jobstatus")
if istatus != None:
statOrder = utils.name2Index(utils.jobStates)
def byStatus(a, b):
return statOrder[a[istatus]] - statOrder[b[istatus]]
jobs["rows"] = sorted(jobs["rows"], cmp=byStatus)
else:
if jobparam == self._allparams and conditions.get(self._jobParametersName) == None:
conditions[self._jobParametersName] = "any"
jobs = pmt.getJobsAtt(
pandaid,
"PandaID," + jobparam,
conditions,
None,
hours,
tstart,
tend,
field,
days,
format,
jobtype,
testsite,
limit,
)
errorcolcheck = True
if len(jobs) > 0:
header = [nmap.get(h) for h in jobs["header"]]
info = jobs["rows"]
main["header"] = header # + self._extraFields
timecols = []
errdict = None
errorcol = not errorcolcheck
for i, h in enumerate(header):
if "time" in h.lower() and "cpuconsumptiontime" != h.lower():
timecols.append(i)
if not errorcol and "error" in h.lower():
errorcol = True
## # add an artificial retryID
## header += ['retryID']
headindx = utils.name2Index(header)
creationtDict = {}
histograms = {}
prodSourceLabel = headindx.get("prodSourceLabel")
jobStatus = headindx.get("jobStatus")
status4title = conditions.get("jobStatus")
if not utils.isFilled(status4title):
if len(info) == 1 and jobStatus != None:
status4title = info[0][jobStatus]
if utils.isFilled(status4title):
title = status4title[0].upper() + status4title[1:] + " " + title
prodtype = "production" in jobtype.lower() if jobtype != None else True
taskidsum = prodtype
if not utils.isValid(summary) and dump != "yes":
jsets = setutils.factory(header, info, self._errorCodes, self._siteId, self._siteNicks)
main["jobset"] = jsets.jobsets()
for r in info:
if not taskidsum and ((prodSourceLabel and r[prodSourceLabel] == "managed") and prodtype):
taskidsum = True
if errorcol and errorcolcheck:
errdict = self.getErrors(r, headindx, errdict)
for t in timecols:
r[t] = utils.epochTime(r[t])
## r += [None] # retryID
# row = self.jobsetTime(utils.zip(header(info[r])),creationtDict,histograms)
# info[r] = self.addFields(utils.zip(header(info[r])),creationtDict,histograms)
# Action cleanUserID SSL_CLIENT_S_DN
main["info"] = info
if errorcolcheck:
main["errorCodes"] = errdict
main["colNames"] = sorted(header)
main["jobsummary"] = copy.copy(self._jobSum)
if taskidsum:
main["jobsummary"] += [["Task ID", "taskID"]]
# print utils.lineInfo(), "===============", self._description.get("JEDITASKID"), self._description.get("JediTaskID")
# if self._description.get("JEDITASKID") or self._description.get("JediTaskID"):
# main['jobsummary'] += [['Jedi ID','JediTaskID']]
elif jobtype != "jedi":
main["jobsummary"] += [["Jobsets", "jobsetID"]] # need constrain
elif jobtype == "analysis":
main["jobsummary"] += [["Analysis Tasks", "destinationDBlock"]]
if showcpu == "yes":
main["jobsummary"] += [["CPU Type", "cpuConsumptionUnit"]]
self.publishTitle(title)
return main
def doQuery(self,site='all',jobtype='all',days=1,hostonly='yes',plot='finished,failed',style='SB', details=None,deep='no'):
""" Get the list of the jobs' status per worker node for selected site for upto 3 last days
<ol>
<li><code>site</code> - site to get the information about or "all"
<li><code>jobtype</code> = 'production" or " analysis" or "all"
<li><code>days</code> - number of days we want to fetch the information for. This parameter must be less or equal 3.
<li><code>hostonly</code> - "yes" . "no" - means provide the information 'per CPU' rather 'per host'
<li><code>plot</code> - the comma separated list of the <a href='https://twiki.cern.ch/twiki/bin/viewauth/Atlas/PandaShiftGuide#Job_state_definitions_in_Panda'>job status names</a> to generate the plot for
<li><code>style</code> the combination of the symbols: 'H' - histogram, 'B' - bar , 'L' - line, 'P' - points, 'S' - stacked<br>
= 'BS' - 'by default'
<li><code>details</code> - 'yes' - provide the status per host<br>
<br> = 'summary' - provide the summary only <br>
default = 'yes' if not site == 'all' else 'no'
<li><code>deep</code> - do not look up the "long job table" . It can be very slow.
default = 'no'
<li> <b><a title='Click to see the full list of the parameters available' href='http://pandamon.cern.ch/describe?table=^JOBSARCHIVED4&doc=*'>PARAM</a>=value</b> - comma-separated list of the value <a href ='https://twiki.cern.ch/twiki/bin/view/PanDA/PandaPlatform#API_parameter_value_format'> patterns</a> to filter the job records.
<li><code>jobStatus</code> - it can be any comma-separated list of the Panda Jobs states patterns or / and <br>
two 'meta' states: "factory" to list the "factory" nodes and "wn" to list the the Worker Nodes
</ol>
"""
vals = self.extraValuesFilled()
if site == None: site='all'
factory = None
wn = None
titletype = "PanDA"
jobStatus = None
if vals != None:
jstat = vals.get('jobStatus')
jobStatus = jstat
if jstat != None:
jstat = [x.lower() for x in utils.parseArray(jstat)]
print utils.lineInfo(), jstat, 'factory' in jstat
if 'factory' in jstat:
factory = self.factory()
jstat += factory
titletype = "Factory"
if 'wn' in jstat:
wn = self.wn()
jstat += wn
titletype = "Worker"
jstat = list(set(jstat))
vals['jobStatus'] = ','.join(jstat)
if deep == None or deep == False: deep = 'no'
deep = not deep.lower() == 'no'
title = ''
hours = (float(days))*24
Deep = 'Deep' if deep else ''
if float(days) > 3 and False and not deep:
days = 3.0
hours = 24*days
title = 'The List of the %s Nodes Activity for the Last %s Hours Only.' % (titletype, int(hours))
else:
title = 'The %s List of the %s Nodes Activity for the %s Hours' % (Deep, titletype,int(hours) )
days = float(days)
try:
if jobtype.lower() == 'all': jobtype=None
except:
pass
self.publishTitle(title)
modes = ( 'Defined', 'Waiting', 'Active', 'Archived' )
tables = []
for mode in modes: tables += ['ATLAS_PANDA.jobs%s4' % mode]
if days>3 and deep: tables += ['ATLAS_PANDAARCH.JOBSARCHIVED']
q = pmt.wnList(site, jobtype, table=tables, days=days,conditions = vals)
try:
if details == None:
details = not (site == None or site == 'None' or site.lower() == 'all' or site == '*' )
# else:
# details = isinstance(details,str) and details.lower() == 'yes'
except:
details = False
## Publish the result
main = {}
main['data'] = self.do(q['header'],q['rows'],site,hostonly,details,factory,wn)
main['params'] = { 'jobtype': jobtype,'days': days,'site': site,'hostonly':hostonly,'jobStatus':jobStatus}
plotpars = []
if plot:
for p in plot.split(","):
if p.lower() == 'prerun' or factory != None:
if wn == None: plotpars += self.factory()
if factory == None:
plotpars += ['pending','sent','starting']
elif p.lower() == 'finishing' and factory == None:
plotpars += ['holding','transferring']
else:
plotpars += [p]
main['params']['plot'] = list(set(plotpars)) # remove duplicates
if style: main['params']['style'] = style
self.publish(main)
self.publishNav(' type=%s days= last %s ' % (jobtype, days ) )
self.publish( "%s/%s" % ( self.server().fileScriptURL(),"monitor/%s.js" % "wnlist" ),role=pmRoles.script())
self.publish( {'s-maxage':600,'max-age': 600}, role=pmRoles.cache())
def doJobs(self,
pandaid=None,
params=None,
jobparam=None,
table=None,
hours=None,
tstart=None,
tend=None,
field='modificationTime',
days=None,
format=None,
jobtype=None,
testsite=None,
limit=1500,
summary=None,
minjob=1,
dump=None,
region=None,
lfn=None,
showcpu=None):
## Perform the query
main = {}
errorcolcheck = False
selection = '*'
vals = self.extraValuesFilled(self._alias)
title = 'PanDA Job(s)'
if utils.isFilled(pandaid):
hours = None
days = None
title += " %s " % pandaid
if days != None:
title += ' for %.2f Day' % float(days)
if days > 1: title += "s"
if hours != None:
if days == None: title += " for "
title += ' %d Hour' % int(hours)
if hours > 1: title += "s"
if vals != None:
for k in vals.keys():
if vals[k] == 'undefined': vals[k] = None
elif vals[k] != None and k.lower() == 'jobstatus' and (
vals[k].lower().find('prerun') >= 0
or vals[k].lower().find('finishing') >= 0
or vals[k].lower().find('unassigned') >= 0
or vals[k].lower().find('retried') >= 0):
stvals = utils.parseArray(vals[k])
statvals = []
for v in stvals:
if v.lower() == 'prerun':
statvals += [
'defined', 'assigned', 'waiting', 'activated',
'pending', 'sent', 'starting'
]
elif v.lower() == 'finishing':
statvals += ['holding', 'transferring']
elif v.lower() == 'unassigned':
vals['computingSite'] = 'NULL'
statvals += ['cancelled']
elif v.lower() == 'retried':
# See the slide 3 from Tadashi: https://indico.cern.ch/getFile.py/access?contribId=13&sessionId=11&resId=0&materialId=slides&confId=119171
vals['taskBufferErrorCode'] = [106, 107]
statvals += ['failed']
else:
statvals += [v]
vals[k] = ','.join(statvals)
cleanVal = dict(
(k, v) for k, v in vals.iteritems() if v is not None)
vals = cleanVal
if vals == None: vals = {}
nav = ''
certificate = None
certusr = None
try:
cert = self.server().certificate()
if cert != None:
certusr = pmt.cleanUserID(cert)
main['ceruser'] = certusr
except:
pass
if vals.get('prodUserName') == 'auto' and certusr != None:
if cert != None: vals['prodUserName'] = certusr
for v in vals:
nav += "<b>%s</b>=%s " % (v, vals[v])
# nav += "<span id=linkjobid stule='display:inline'></span>"
# nav +="<script>$(document).ready(function(){$('#linkjobid').html(utils().linkJobs(s.cloud,jobtype"
# nav += jobtype if jobtype!=None else "undefined"
# nav += ", s.jobStatus, "
# nav += "%d" % hours if hours!=None else "undefined"
# nav += ", s.computingSite,'Classic Page' ))});</script>";
if not utils.isFilled(summary):
nav += "<b>%s</b>=%s " % ('limit', limit)
self.publishNav(nav)
if len(vals) == 0: vals = None
if vals == None and jobparam == None:
main['Description'] = self.description()
else:
if lfn != None and lfn != "undefined":
lfnselect = 'pandaid,lfn'
lfnjobs = pmt.getJobLFN(select=lfnselect,
table='new',
lfn=lfn,
pandaid=pandaid,
type='*',
limit=limit)
if lfnjobs['rows'] > 0:
pandaid = [ljobs[0] for ljobs in lfnjobs['rows']]
selection = {}
if vals != None: selection.update(vals)
if pandaid != None:
selection.update({nmap.get('pandaid'): pandaid})
if region != None: selection.update({'region': region})
main['Selection'] = selection
conditions = vals
if conditions == None: conditions = {}
cs = conditions.get('computingSite')
if cs == None:
site4region = self.getSite4Region(region)
if site4region != None and len(site4region) > 0:
conditions['computingSite'] = site4region
else:
pass # ignore the region parameter
if utils.isValid(summary):
jobtype = 'production' if jobtype == None and jobparam.lower(
).find('taskid') >= 0 and jobparam.lower().find(
'jeditaskid') < 0 else jobtype
jobs = pmt.getJobsAtt(pandaid, jobparam, conditions, None,
hours, tstart, tend, field, days, format,
jobtype, testsite, None, True)
rows = jobs['rows']
indx = []
if len(rows) > 30:
for i, r in enumerate(rows):
try:
if r[1] > minjob:
indx.append(i)
continue
except:
pass
cleanrows = [rows[i] for i in indx]
jobs['rows'] = cleanrows
istatus = utils.name2Index(jobs['header'], 'jobstatus')
if istatus != None:
statOrder = utils.name2Index(utils.jobStates)
def byStatus(a, b):
return statOrder[a[istatus]] - statOrder[b[istatus]]
jobs['rows'] = sorted(jobs['rows'], cmp=byStatus)
else:
if jobparam == self._allparams and conditions.get(
self._jobParametersName) == None:
conditions[self._jobParametersName] = 'any'
jobs = pmt.getJobsAtt(pandaid, 'PandaID,' + jobparam,
conditions, None, hours, tstart, tend,
field, days, format, jobtype, testsite,
limit)
errorcolcheck = True
if len(jobs) > 0:
header = [nmap.get(h) for h in jobs['header']]
info = jobs['rows']
main['header'] = header # + self._extraFields
timecols = []
errdict = None
errorcol = not errorcolcheck
for i, h in enumerate(header):
if 'time' in h.lower(
) and 'cpuconsumptiontime' != h.lower():
timecols.append(i)
if not errorcol and 'error' in h.lower():
errorcol = True
## # add an artificial retryID
## header += ['retryID']
headindx = utils.name2Index(header)
creationtDict = {}
histograms = {}
prodSourceLabel = headindx.get('prodSourceLabel')
jobStatus = headindx.get('jobStatus')
status4title = conditions.get('jobStatus')
if not utils.isFilled(status4title):
if len(info) == 1 and jobStatus != None:
status4title = info[0][jobStatus]
if utils.isFilled(status4title):
title = status4title[0].upper(
) + status4title[1:] + " " + title
prodtype = 'production' in jobtype.lower(
) if jobtype != None else True
taskidsum = prodtype
if not utils.isValid(summary) and dump != 'yes':
jsets = setutils.factory(header, info, self._errorCodes,
self._siteId, self._siteNicks)
main['jobset'] = jsets.jobsets()
for r in info:
if not taskidsum and (
(prodSourceLabel and r[prodSourceLabel] == 'managed')
and prodtype):
taskidsum = True
if errorcol and errorcolcheck:
errdict = self.getErrors(r, headindx, errdict)
for t in timecols:
r[t] = utils.epochTime(r[t])
## r += [None] # retryID
# row = self.jobsetTime(utils.zip(header(info[r])),creationtDict,histograms)
# info[r] = self.addFields(utils.zip(header(info[r])),creationtDict,histograms)
# Action cleanUserID SSL_CLIENT_S_DN
main['info'] = info
if errorcolcheck:
main['errorCodes'] = errdict
main['colNames'] = sorted(header)
main['jobsummary'] = copy.copy(self._jobSum)
if taskidsum:
main['jobsummary'] += [['Task ID', 'taskID']]
# print utils.lineInfo(), "===============", self._description.get("JEDITASKID"), self._description.get("JediTaskID")
# if self._description.get("JEDITASKID") or self._description.get("JediTaskID"):
# main['jobsummary'] += [['Jedi ID','JediTaskID']]
elif jobtype != 'jedi':
main['jobsummary'] += [['Jobsets',
'jobsetID']] # need constrain
elif jobtype == 'analysis':
main['jobsummary'] += [[
'Analysis Tasks', 'destinationDBlock'
]]
if showcpu == 'yes':
main['jobsummary'] += [['CPU Type', 'cpuConsumptionUnit']]
self.publishTitle(title)
return main