def doJson(self,hours=None,days=180,tstart=None,tend=None,PRODUSERNAME=None,top='nJobsA', topsize=0):
""" Get the list of the users
<ul>
<li> hours = use the last hours
<li> days = use the last days
<li> topsize - the size of the top list
<br> = 0 - all users are shown
<li> top - select top list using 'top' column
<ul>
<li> 'nJobsA' - the number of the jobs
<li> 'CPUA1' - Personal the CPU used for the last 24 hours
<li> 'CPUA7' - Personal Cpu used for the last 7 days
<li> 'CPUP1' - Group Cpu for the last 24 hours
<li> 'CPUP7' - Group Cpu for the last 7 days
</ul>
</ul>
"""
if days == None: days = 0
if hours == None: hours = 0
main = {"buffer":{ "params" : {'hours' : days*24+hours }
, "method" : 'getUsers'
, "type" : False
}
}
columns="name,njobsa,latestjob,cpua1,cpua7,cpup1,cpup7"
if topsize==0 or topsize==None: columns+=",scriptcache"
q = pmt.getUsers(PRODUSERNAME,days*24+hours,columns=columns)
header = q['header']
users = q['rows']
if PRODUSERNAME == None:
if topsize > 0:
title = "Recent %(topsize)d Top Panda Analysis Users" % { 'topsize' : topsize }
else:
title = "Recent Panda Analysis Users"
else:
title = "PanDA jobs for %s" % PRODUSERNAME
main["buffer"]["params"]['user'] = PRODUSERNAME,
iNJobs = utils.name2Index(header,"njobsa")
iLatest = utils.name2Index(header,"latestjob")
jobpertime = {"anajobs" : 0, "n1000" : 0, "n10k" : 0 }
recent = { "d3" :0, "d7" :0 , "d30" : 0, "d90" : 0, "d180" :0 }
for u in users:
nxtp = u[iNJobs]
if nxtp == None: continue
nxtp = int(nxtp)
if nxtp > 0 : jobpertime["anajobs"] += nxtp
if nxtp > 1000:
jobpertime["n1000"] += 1;
if nxtp > 10000: jobpertime["n10k"] += 1
nxtp = u[iLatest]
if nxtp != None:
diffdays = (datetime.utcnow() - nxtp).days;
if diffdays < 4: recent["d3"] += 1
if diffdays < 8: recent["d7"] += 1
if diffdays < 31: recent["d30"] += 1
if diffdays < 91: recent["d90"] += 1
if diffdays < 181: recent["d180"] += 1
if topsize > 0 and top != None:
iTop = utils.name2Index(header,top)
users = self.makeTop(users,iTop)[:topsize]
main["buffer"]["top"] = { 'top' : top, 'size' : topsize }
# remove thr group
main["buffer"]["data"] = {'header' : header,'rows' : users }
main["buffer"]["totaljobs"] = jobpertime
main["buffer"]["recent"] = recent
self.publishTitle(title)
self.publish(main)
self.publish( "%s/%s" % (utils.fileScriptURL(),"taskBuffer/%s.js" % "getUsers"),role="script")
return
def doJson(self,hours=None,days=180,tstart=None,tend=None,PRODUSERNAME=None,top='CPUA7', topsize=0,name=None):
""" Get the list of the users
<ul>
<li> hours = use the last hours
<li> days = use the last days
<li> PRODUSERNAME or name - the comma separated pattern to select the list of the users.
<li> topsize - the size of the top list
<br> = 0 - all users are shown
<li> top - the comma separated list to select top users using 'top' columns.
<ul>
<li> 'nJobsA' - the number of the jobs
<li> 'CPUA1' - Personal the CPU used for the last 24 hours
<li> 'CPUA7' - Personal Cpu used for the last 7 days
<li> 'CPUP1'- Group the CPU used for the last 24 hours
<li> 'CPUP7'- Group Cpu used for the last 7 days
</ul>
The order of the column names defines the default sorting.
<br>For example: top='cpua7,nJobsA' creates the table sorted by "7 days " cpu and by "number of the jobs"
<br> the parameter is essential for CLI (aka 'curl'/'ajax') clients. The Web Browser user can override the default by clicking onto the column header
</ul>
"""
if days == None: days = 0
if hours == None: hours = 0
main = {"buffer":{ "params" : {'hours' : days*24+hours }
, "method" : 'getUsers'
, "type" : False
}
}
columns="name,njobsa,cpua1,cpua7,latestjob"
if topsize==0 or topsize==None: columns="name,njobsa,latestjob,cpua1,cpua7,cpup1,cpup7,scriptcache"
elif 'pup' in top.lower():
columns="name,njobsa,cpup1,cpup7,latestjob,scriptcache"
if PRODUSERNAME == None: PRODUSERNAME = name
q = pmt.getUsers(PRODUSERNAME,days*24+hours,columns=columns)
header = q['header']
users = q['rows']
if PRODUSERNAME == None:
if topsize > 0:
title = "Recent %(topsize)d Top Panda Analysis Users" % { 'topsize' : topsize }
else:
title = "Recent Panda Analysis Users"
else:
title = "PanDA jobs for %s" % PRODUSERNAME
main["buffer"]["params"]['user'] = PRODUSERNAME,
iNJobs = utils.name2Index(header,"njobsa")
iLatest = utils.name2Index(header,"latestjob")
iCpua1 = utils.name2Index(header,"cpua1")
iCpua7 = utils.name2Index(header,"cpua7")
iCpup1 = utils.name2Index(header,"cpup1")
iCpup7 = utils.name2Index(header,"cpup7")
jobpertime = {"anajobs" : 0, "n1000" : 0, "n10k" : 0 }
recent = { "d3" :0, "d7" :0 , "d30" : 0, "d90" : 0, "d180" :0 }
for u in users:
nxtp = u[iNJobs]
if nxtp == None: continue
nxtp = int(nxtp)
if nxtp > 0 : jobpertime["anajobs"] += nxtp
if nxtp > 1000:
jobpertime["n1000"] += 1;
if nxtp > 10000: jobpertime["n10k"] += 1
nxtp = u[iLatest]
if nxtp != None:
diffdays = (datetime.utcnow() - nxtp).days;
if diffdays < 4: recent["d3"] += 1
if diffdays < 8: recent["d7"] += 1
if diffdays < 31: recent["d30"] += 1
if diffdays < 91: recent["d90"] += 1
if diffdays < 181: recent["d180"] += 1
if topsize > 0 and diffdays > 7 :
# exclude the old users from the count
if iCpua1 >=0: u[iCpua1] = 0;
if iCpua7 >=0: u[iCpua7] = 0;
if iCpup1 >=0: u[iCpup1] = 0;
if iCpup1 >=0: u[iCpup7] = 0;
if topsize > 0 and top != None:
vtop = top.split(",")
iTop = tuple( utils.name2Index(header,t) for t in vtop)
users = self.makeTop(users,iTop)[:topsize]
main["buffer"]["top"] = { 'top' : top, 'size' : topsize }
njobsa = 0
cpua1 = 0
cpua7 = 0
cpup1 = 0
cpup7 = 0
finalusers = []
for u in users:
nxtp = u[iNJobs]
if nxtp == None: continue
njobsa+= nxtp
cpu = 0
if iCpua1 >=0:
cpua1 += u[iCpua1]
cpu += u[iCpua1]
if iCpua7 >=0:
cpua7 += u[iCpua7]
cpu += u[iCpua7]
if iCpup1 >=0:
cpup1 += u[iCpup1]
cpu += u[iCpup1]
if iCpup7 >=0:
cpup7 += u[iCpup7]
cpu += u[iCpup7]
if cpu >0:
njobsa+= nxtp
finalusers.append(u)
users = finalusers
main["buffer"]["data"] = {'header' : header,'rows' : users }
main["buffer"]["totaljobs"] = jobpertime
if topsize > 0:
if iCpua1>=0 or iCpua7 >=0:
main["buffer"]["totaltop"] = {'njobsa' :njobsa,'cpua1':cpua1, 'cpua7': cpua7 }
else:
main["buffer"]["totaltop"] = {'njobsa' :njobsa,'cpup1':cpup1, 'cpup7': cpup7 }
main["buffer"]["recent"] = recent
self.publishTitle(title)
self.publish(main)
self.publish( "%s/%s" % (self.server().fileScriptURL(),"taskBuffer/%s.js" % "getUsers"),role="script")
return
def doJson(
self, hours=None, days=180, tstart=None, tend=None, PRODUSERNAME=None, top="CPUA7", topsize=0, name=None
):
""" Get the list of the users
<ul>
<li> hours = use the last hours
<li> days = use the last days
<li> PRODUSERNAME or name - the comma separated pattern to select the list of the users.
<li> topsize - the size of the top list
<br> = 0 - all users are shown
<li> top - the comma separated list to select top users using 'top' columns.
<ul>
<li> 'nJobsA' - the number of the jobs
<li> 'CPUA1' - Personal the CPU used for the last 24 hours
<li> 'CPUA7' - Personal Cpu used for the last 7 days
<li> 'CPUP1'- Group the CPU used for the last 24 hours
<li> 'CPUP7'- Group Cpu used for the last 7 days
</ul>
The order of the column names defines the default sorting.
<br>For example: top='cpua7,nJobsA' creates the table sorted by "7 days " cpu and by "number of the jobs"
<br> the parameter is essential for CLI (aka 'curl'/'ajax') clients. The Web Browser user can override the default by clicking onto the column header
</ul>
"""
if days == None:
days = 0
if hours == None:
hours = 0
main = {"buffer": {"params": {"hours": days * 24 + hours}, "method": "getUsers", "type": False}}
columns = "name,njobsa,cpua1,cpua7,latestjob"
if topsize == 0 or topsize == None:
columns = "name,njobsa,latestjob,cpua1,cpua7,cpup1,cpup7,scriptcache"
elif "pup" in top.lower():
columns = "name,njobsa,cpup1,cpup7,latestjob,scriptcache"
if PRODUSERNAME == None:
PRODUSERNAME = name
q = pmt.getUsers(PRODUSERNAME, days * 24 + hours, columns=columns)
header = q["header"]
users = q["rows"]
if PRODUSERNAME == None:
if topsize > 0:
title = "Recent %(topsize)d Top Panda Analysis Users" % {"topsize": topsize}
else:
title = "Recent Panda Analysis Users"
else:
title = "PanDA jobs for %s" % PRODUSERNAME
main["buffer"]["params"]["user"] = (PRODUSERNAME,)
iNJobs = utils.name2Index(header, "njobsa")
iLatest = utils.name2Index(header, "latestjob")
iCpua1 = utils.name2Index(header, "cpua1")
iCpua7 = utils.name2Index(header, "cpua7")
iCpup1 = utils.name2Index(header, "cpup1")
iCpup7 = utils.name2Index(header, "cpup7")
jobpertime = {"anajobs": 0, "n1000": 0, "n10k": 0}
recent = {"d3": 0, "d7": 0, "d30": 0, "d90": 0, "d180": 0}
for u in users:
nxtp = u[iNJobs]
if nxtp == None:
continue
nxtp = int(nxtp)
if nxtp > 0:
jobpertime["anajobs"] += nxtp
if nxtp > 1000:
jobpertime["n1000"] += 1
if nxtp > 10000:
jobpertime["n10k"] += 1
nxtp = u[iLatest]
if nxtp != None:
diffdays = (datetime.utcnow() - nxtp).days
if diffdays < 4:
recent["d3"] += 1
if diffdays < 8:
recent["d7"] += 1
if diffdays < 31:
recent["d30"] += 1
if diffdays < 91:
recent["d90"] += 1
if diffdays < 181:
recent["d180"] += 1
if topsize > 0 and diffdays > 7:
# exclude the old users from the count
if iCpua1 >= 0:
u[iCpua1] = 0
if iCpua7 >= 0:
u[iCpua7] = 0
if iCpup1 >= 0:
u[iCpup1] = 0
if iCpup1 >= 0:
u[iCpup7] = 0
if topsize > 0 and top != None:
vtop = top.split(",")
iTop = tuple(utils.name2Index(header, t) for t in vtop)
users = self.makeTop(users, iTop)[:topsize]
main["buffer"]["top"] = {"top": top, "size": topsize}
njobsa = 0
cpua1 = 0
cpua7 = 0
cpup1 = 0
cpup7 = 0
finalusers = []
for u in users:
nxtp = u[iNJobs]
if nxtp == None:
continue
njobsa += nxtp
cpu = 0
if iCpua1 >= 0:
cpua1 += u[iCpua1]
cpu += u[iCpua1]
if iCpua7 >= 0:
cpua7 += u[iCpua7]
cpu += u[iCpua7]
if iCpup1 >= 0:
cpup1 += u[iCpup1]
cpu += u[iCpup1]
if iCpup7 >= 0:
cpup7 += u[iCpup7]
cpu += u[iCpup7]
if cpu > 0:
njobsa += nxtp
finalusers.append(u)
users = finalusers
main["buffer"]["data"] = {"header": header, "rows": users}
main["buffer"]["totaljobs"] = jobpertime
if topsize > 0:
if iCpua1 >= 0 or iCpua7 >= 0:
main["buffer"]["totaltop"] = {"njobsa": njobsa, "cpua1": cpua1, "cpua7": cpua7}
else:
main["buffer"]["totaltop"] = {"njobsa": njobsa, "cpup1": cpup1, "cpup7": cpup7}
main["buffer"]["recent"] = recent
self.publishTitle(title)
self.publish(main)
self.publish("%s/%s" % (self.server().fileScriptURL(), "taskBuffer/%s.js" % "getUsers"), role="script")
return
def doJson(self,
hours=None,
days=180,
tstart=None,
tend=None,
PRODUSERNAME=None,
top='nJobsA',
topsize=0):
""" Get the list of the users
<ul>
<li> hours = use the last hours
<li> days = use the last days
<li> topsize - the size of the top list
<br> = 0 - all users are shown
<li> top - select top list using 'top' column
<ul>
<li> 'nJobsA' - the number of the jobs
<li> 'CPUA1' - Personal the CPU used for the last 24 hours
<li> 'CPUA7' - Personal Cpu used for the last 7 days
<li> 'CPUP1' - Group Cpu for the last 24 hours
<li> 'CPUP7' - Group Cpu for the last 7 days
</ul>
</ul>
"""
if days == None: days = 0
if hours == None: hours = 0
main = {
"buffer": {
"params": {
'hours': days * 24 + hours
},
"method": 'getUsers',
"type": False
}
}
columns = "name,njobsa,latestjob,cpua1,cpua7,cpup1,cpup7"
if topsize == 0 or topsize == None: columns += ",scriptcache"
q = pmt.getUsers(PRODUSERNAME, days * 24 + hours, columns=columns)
header = q['header']
users = q['rows']
if PRODUSERNAME == None:
if topsize > 0:
title = "Recent %(topsize)d Top Panda Analysis Users" % {
'topsize': topsize
}
else:
title = "Recent Panda Analysis Users"
else:
title = "PanDA jobs for %s" % PRODUSERNAME
main["buffer"]["params"]['user'] = PRODUSERNAME,
iNJobs = utils.name2Index(header, "njobsa")
iLatest = utils.name2Index(header, "latestjob")
jobpertime = {"anajobs": 0, "n1000": 0, "n10k": 0}
recent = {"d3": 0, "d7": 0, "d30": 0, "d90": 0, "d180": 0}
for u in users:
nxtp = u[iNJobs]
if nxtp == None: continue
nxtp = int(nxtp)
if nxtp > 0: jobpertime["anajobs"] += nxtp
if nxtp > 1000:
jobpertime["n1000"] += 1
if nxtp > 10000: jobpertime["n10k"] += 1
nxtp = u[iLatest]
if nxtp != None:
diffdays = (datetime.utcnow() - nxtp).days
if diffdays < 4: recent["d3"] += 1
if diffdays < 8: recent["d7"] += 1
if diffdays < 31: recent["d30"] += 1
if diffdays < 91: recent["d90"] += 1
if diffdays < 181: recent["d180"] += 1
if topsize > 0 and top != None:
iTop = utils.name2Index(header, top)
users = self.makeTop(users, iTop)[:topsize]
main["buffer"]["top"] = {'top': top, 'size': topsize}
# remove thr group
main["buffer"]["data"] = {'header': header, 'rows': users}
main["buffer"]["totaljobs"] = jobpertime
main["buffer"]["recent"] = recent
self.publishTitle(title)
self.publish(main)
self.publish("%s/%s" %
(utils.fileScriptURL(), "taskBuffer/%s.js" % "getUsers"),
role="script")
return