def doQuery(self):
""" Redirect URL to the login PANDA server
"""
if self.server().user() == None: raise ValueError("Login can be used over SSL connection only")
redirect = "<script>window.location='%s&_monlogin=1';</script>" % self.server().query()
self.publish(redirect,role=pmRoles.html())
self.publishTitle('Login via CERN SSO for %s' % self.server().user())
def doQuery(self):
""" Redirect URL to the old PANDA server
<br>Append <b><code>"&_old"</code></b> to your URL query to use the <a href='http://panda.cern.ch'>old classic Panda Monitor</a> "
"""
if self.server().query() != '' and not '_location=menu&_class=menubar' in self.server().query():
redirect = "<script> window.location='http://panda.cern.ch?%s';</script>" % self.server().query().replace('&_get=json','').replace('_get=json','')
else:
redirect = """
<div class=ui-widget ui-widget-content ui-cornel-all>
<br>Append <b><code>"&_old"</code></b> to your URL query to use the <a href='http://panda.cern.ch'>old classic Panda Monitor</a>
</div>
"""
self.publish(redirect,role=pmRoles.html())
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 __init__(self,name=None,parent=None,obj=None):
pmModule.__init__(self,name,parent,obj)
self.publishUI(self.doQuery,role=pmRoles.html())