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#! /usr/bin/env python |
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# $Id$ |
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# Source: $URL$ |
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# J. A. Templon, NIKHEF/PDP 2011 |
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|
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import os |
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|
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NUMGROUPS=8 |
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DATADIR=os.environ['HOME'] + '/ndpfdata/' |
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PLOTDIR=os.environ['HOME'] + '/public_html/' |
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# 8 class qualitative paired color scheme |
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|
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colors = [ "#A6CEE3", "#1F77B4", "#B2DF8A", "#33A02C", |
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"#FB9A99", "#E31A1C", "#FDBF6F", "#FF7F00" ] |
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|
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colors.reverse() |
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|
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# for reference : resolutions of the RRAs |
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# RRA:AVERAGE:0.5:1:2880 \ |
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# RRA:AVERAGE:0.5:5:4032 \ |
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# RRA:AVERAGE:0.5:60:1440 \ |
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# RRA:AVERAGE:0.5:1440:3650 |
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# 60s (1 min) x 2880 points = 48 hr |
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# 300s (5 min) x 4032 points = 14 days |
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# 3600s (1 hr) x 1440 points = 60 days |
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# 86400s (1 day) x 3650 points = 10 years |
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|
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plotrangedef = { |
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'hr' : { 'timeargs' : [ '-s', 'n-4h', '-e', 'n' ], |
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'timetag' : 'hr', |
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'avrange' : 24*3600, |
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'avres' : 60, |
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'sizeargs' : { 'small' : [ '--width', '195', '--height', '125' ], |
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'large' : [ '--width', '850', '--height', '500' ] |
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}, |
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}, |
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'day' : { 'timeargs' : [ '-s', 'n-29h', '-e', 'n' ], |
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'timetag' : 'day', |
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'avrange' : 24*3600, |
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'avres' : 60, |
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'sizeargs' : { 'small' : [ '--width', '195', '--height', '125' ], |
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'large' : [ '--width', '850', '--height', '500' ] |
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}, |
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}, |
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'week' : { 'timeargs' : [ '-s', 'n-8d', '-e', 'n' ], |
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'timetag' : 'week', |
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'avrange' : 7*24*3600, |
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'avres' : 300, |
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'sizeargs' : { 'small' : [ '--width', '550', '--height', '125' ], |
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'large' : [ '--width', '850', '--height', '500' ] |
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}, |
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}, |
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|
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'month' : { 'timeargs' : [ '-s', 'n-35d', '-e', 'n' ], |
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'timetag' : 'month', |
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'avrange' : 31*24*3600, |
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'avres' : 3600, |
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'sizeargs' : { 'small' : [ '--width', '550', '--height', '105' ], |
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'large' : [ '--width', '850', '--height', '150' ] |
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}, |
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}, |
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} |
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|
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commonargs = ['--imgformat', 'PNG', |
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'--legend-position=east', '--legend-direction=bottomup'] |
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|
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import rrdtool |
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import time |
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import glob |
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|
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### function definitions |
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|
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def doplot(grouplist, dbtype, psize, timetag, sizeargs, timeargs): |
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|
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defs = list() |
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plots = list() |
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|
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data_defs = list() |
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plot_defs = list() |
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|
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for group in (grouplist + ['total']): |
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data_defs.append('DEF:'+group+'='+DATADIR+group+'.'+dbtype+'.rrd:'+dbtype+':AVERAGE') |
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|
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for idx in range(len(grouplist)): |
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group = grouplist[idx] |
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pdefstr = 'AREA' ':' + group + colors[idx] + ':' + group |
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pdefstr = pdefstr + '\\n' |
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if idx > 0: |
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pdefstr = pdefstr + ':STACK' |
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plot_defs.append(pdefstr) |
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|
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plot_defs.append('LINE:total#000000:total') |
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|
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pargs = [ PLOTDIR + dbtype + '-' + timetag + '-' + psize + '.png'] + \ |
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commonargs + sizeargs[psize] + timeargs + \ |
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data_defs + plot_defs |
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rrdtool.graph( *pargs ) |
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|
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def doplot_wait(grouplist, dbtype, psize, timetag, sizeargs, timeargs): |
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|
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defs = list() |
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plots = list() |
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|
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data_defs = list() |
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plot_defs = list() |
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|
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for group in (grouplist + ['rollover']): |
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data_defs.append('DEF:'+group+'='+DATADIR+group+'.'+dbtype+'.rrd:'+dbtype+':AVERAGE') |
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|
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for idx in range(len(grouplist)): |
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group = grouplist[idx] |
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pdefstr = 'LINE3' ':' + group + colors[idx] + ':' + group |
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pdefstr = pdefstr + '\\n' |
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plot_defs.append(pdefstr) |
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|
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plot_defs.append('LINE2:rollover#000000:rollover') |
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|
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pargs = [ PLOTDIR + dbtype + '-' + timetag + '-' + psize + '.png'] + \ |
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['--slope-mode', '-o'] + \ |
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commonargs + sizeargs[psize] + timeargs + \ |
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data_defs + plot_defs |
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rrdtool.graph( *pargs ) |
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|
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def makeplots(prangedef): |
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|
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resolu = prangedef['avres'] |
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|
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# first need to find "top eight" list |
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# base it on running jobs |
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|
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now=int(time.mktime(time.localtime())) |
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end = (now / resolu) * resolu |
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start = end - (prangedef['avrange']) + resolu |
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|
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### block finding 'top N' group list ### |
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|
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tgroup = dict() # structure tgroup[groupname] = total of hourly average |
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|
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running_files = glob.glob(DATADIR+'*.running.rrd') |
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for db in running_files: |
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group = db[len(DATADIR):db.find('.running.rrd')] |
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if group == "total": |
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continue |
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tup = rrdtool.fetch(db,'AVERAGE','-r', repr(resolu), |
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'-s', repr(start), '-e', repr(end)) |
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vallist = [0] # start with zero, in case no vals returned, get zero as answer |
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for tup2 in tup[2]: |
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val = tup2[0] |
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if val: |
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vallist.append(val) |
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tgroup[group] = sum(vallist) |
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|
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groups_sorted = sorted(tgroup, key=tgroup.get, reverse=False) |
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topgroups=groups_sorted[-NUMGROUPS:] |
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|
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### end block 'top N' group list ### |
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|
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### block generating plots ### |
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|
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for dbtype in ['queued', 'running', 'waittime']: |
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for psize in ['small', 'large']: |
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if dbtype == 'waittime': |
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doplot_wait(topgroups, dbtype, psize, prangedef['timetag'], |
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prangedef['sizeargs'], |
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prangedef['timeargs'], |
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) |
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else: |
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doplot(topgroups, dbtype, psize, prangedef['timetag'], |
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prangedef['sizeargs'], |
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prangedef['timeargs'] |
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) |
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|
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for k in plotrangedef.keys(): |
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makeplots(plotrangedef[k]) |
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|
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import sys |
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sys.exit(0) |
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