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vacmon-cgi
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#!/usr/bin/python
#
# vacmon-cgi - Vacmon CGI script
#
# Andrew McNab, University of Manchester.
# Copyright (c) 2015-9. All rights reserved.
#
# Redistribution and use in source and binary forms, with or
# without modification, are permitted provided that the following
# conditions are met:
#
# o Redistributions of source code must retain the above
# copyright notice, this list of conditions and the following
# disclaimer.
# o Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following
# disclaimer in the documentation and/or other materials
# provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
# INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
# MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS
# BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
# TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
# ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
# OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
#
# Contacts: Andrew.McNab@cern.ch http://www.gridpp.ac.uk/vacproject/
#
# First two modules installed with:
#
# pip install pygal
# pip install elasticsearch
#
import pygal
import elasticsearch
import os
import cgi
import sys
import time
import datetime
import json
import string
import pprint
import vacmon
esDebug = False
esTimeout = 120
# On the all sites page, we ignore these "sites" which are due to initial testing
sitesIgnoreList = [ 'gridpp.ac.uk', 'lhcb.cern.ch', 'tier2.hep.manchester.ac.uk' ]
class VacMonStackedLine(pygal.StackedLine):
def __init__(self, imageSize, timeSpan, timeEnd, timeBuckets, legend_at_bottom_columns=3):
self.imageSize = imageSize
pygal.StackedLine.__init__(self, include_x_axis=True, stroke_style={'width': 2}, legend_at_bottom=True, show_x_guides=True, style=pygal.style.LightColorizedStyle, x_label_rotation=30, width=720, height=720, legend_at_bottom_columns=legend_at_bottom_columns)
self.x_labels = [ time.strftime('%b-%d %H:%M', time.gmtime(timeEnd - timeSpan + (i + 0.5) * (timeSpan / timeBuckets))) for i in range(0, timeBuckets) ]
def _points(self, x_pos):
# Unfilled series to be overlayed rather than stacked
"""
Convert given data values into drawable points (x, y)
and interpolated points if interpolate option is specified
"""
for series_group in (self.series, self.secondary_series):
accumulation = [0] * self._len
for serie in series_group[::-1 if self.stack_from_top else 1]:
if serie.fill == False: # <--- this is the significant change
serie.points = [ (x_pos[i], v) for i, v in enumerate(serie.values) ]
if serie.points and self.interpolate:
serie.interpolated = self._interpolate(x_pos, serie.values)
else:
serie.interpolated = []
else:
accumulation = list(map(sum, zip(accumulation, serie.values)))
serie.points = [
(x_pos[i], v)
for i, v in enumerate(accumulation)]
if serie.points and self.interpolate:
serie.interpolated = self._interpolate(x_pos, accumulation)
else:
serie.interpolated = []
def htmlPrint(self):
print '<a href="' + self.render_data_uri() + '"><figure style="width:%dpx; display: inline-block">' % self.imageSize
print self.render()
print '</figure></a> '
def htmlHeader(title, selector=True):
print 'Status: 200 OK'
print 'Content-Type: text/html'
print
print '<html><head><title>' + title + '</title>'
if selector:
print """<script language="JavaScript" src="/CalendarPopup.js"></script>
<script language="JavaScript">var calFrom = new CalendarPopup("selectordiv");
calFrom.setReturnFunction("setMultipleValuesFrom");
function setMultipleValuesFrom(y,m,d) {
for (var i=0; i<document.forms[0].dateFrom_year.options.length; i++)
{ if (document.forms[0].dateFrom_year.options[i].value==y) { document.forms[0].dateFrom_year.selectedIndex=i; } }
for (var i=0; i<document.forms[0].dateFrom_month.options.length; i++)
{ if (document.forms[0].dateFrom_month.options[i].value==m) { document.forms[0].dateFrom_month.selectedIndex=i; } }
for (var i=0; i<document.forms[0].dateFrom_date.options.length; i++)
{ if (document.forms[0].dateFrom_date.options[i].value==d) { document.forms[0].dateFrom_date.selectedIndex=i; } }
}
var calTo = new CalendarPopup("selectordiv");
calTo.setReturnFunction("setMultipleValuesTo");
function setMultipleValuesTo(y,m,d) {
for (var i=0; i<document.forms[0].dateTo_year.options.length; i++)
{ if (document.forms[0].dateTo_year.options[i].value==y) { document.forms[0].dateTo_year.selectedIndex=i; } }
for (var i=0; i<document.forms[0].dateTo_month.options.length; i++)
{ if (document.forms[0].dateTo_month.options[i].value==m) { document.forms[0].dateTo_month.selectedIndex=i; } }
for (var i=0; i<document.forms[0].dateTo_date.options.length; i++)
{ if (document.forms[0].dateTo_date.options[i].value==d) { document.forms[0].dateTo_date.selectedIndex=i; } }
}
function getDateString(y_obj,m_obj,d_obj) {
var y = y_obj.options[y_obj.selectedIndex].value;
var m = m_obj.options[m_obj.selectedIndex].value;
var d = d_obj.options[d_obj.selectedIndex].value;
if (y=="" || m=="") { return null; }
if (d=="") { d=1; }
return str= y+'-'+m+'-'+d;
}
function timeButtonClick(imageSize, voName, uriTail) {
var timeStart = Date.UTC(document.forms[0].dateFrom_year.value,
document.forms[0].dateFrom_month.value - 1,
document.forms[0].dateFrom_date.value,
document.forms[0].dateFrom_hour.value,
document.forms[0].dateFrom_minute.value, 0, 0)/1000;
var timeEnd = Date.UTC(document.forms[0].dateTo_year.value,
document.forms[0].dateTo_month.value - 1,
document.forms[0].dateTo_date.value,
document.forms[0].dateTo_hour.value,
document.forms[0].dateTo_minute.value, 0, 0)/1000;
var timeSpan = timeEnd - timeStart;
return '/' + imageSize.toString(16) + ':' +
timeSpan.toString(16) + ':' +
timeEnd.toString(16) + ':' +
voName + uriTail;
}
document.write(getCalendarStyles());
</script>"""
print open('/var/www/vacmon/header.html', 'r').read()
def htmlFooter():
print open('/var/www/vacmon/footer.html', 'r').read()
print '</html>'
def htmlSelector(imageSize, timeSpan, timeEnd, voName, uriTail):
months = ['','Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']
imageSizes = [ 300, 500, 900, 1200 ]
print '<br clear="right">'
print '<form name="example"><table cellspacing="5" align="center">'
if imageSize not in imageSizes:
imageSizes.append(imageSize)
imageSizes.sort()
if timeEnd:
timeEndStr = '%x' % timeEnd
else:
timeEndStr = ''
timeEnd = int(time.time())
timeStart = timeEnd - timeSpan
structTimeStart = time.gmtime(timeStart)
structTimeEnd = time.gmtime(timeEnd)
print '<tr><td>Start (UTC): '
print '<input type="text" size="2" maxlength="2" name="dateFrom_hour" value="%02d">:<input ' % structTimeStart.tm_hour
print 'type="text" size="2" maxlength="2" name="dateFrom_minute" value="%02d"> ' % structTimeStart.tm_min
print '<select name="dateFrom_date">'
for i in xrange(1,32):
print '<option value="%d"%s>%d' % (i, ' selected' if i == structTimeStart.tm_mday else '', i)
print '</select><select name="dateFrom_month">'
for i in xrange(1,13):
print '<option value="%d"%s>%s' % (i, ' selected' if i == structTimeStart.tm_mon else '', months[i])
print '</select><select name="dateFrom_year">'
thisYear = int(datetime.datetime.utcnow().year)
for i in xrange(thisYear - 1, thisYear + 1):
print '<option value="%d"%s>%d' % (i, ' selected' if i == structTimeStart.tm_year else '', i)
print '</select>'
print '<a href="#" onClick="calFrom.showCalendar(\'anchorFrom\',getDateString(document.forms[0].dateFrom_year,document.forms[0].dateFrom_month,document.forms[0].dateFrom_date)); return false;" TITLE="calFrom.showCalendar(\'anchorFrom\',getDateString(document.forms[0].dateFrom_year,document.forms[0].dateFrom_month,document.forms[0].dateFrom_date)); return false;" NAME="anchorFrom" ID="anchorFrom"><img src="/cal20px.png" align="absmiddle" width="20" height="20"></A>'
print '</td><td style="text-align: right">Finish (UTC):'
print '<input type="text" size="2" maxlength="2" name="dateTo_hour" value="%02d">:<input ' % structTimeEnd.tm_hour
print 'type="text" size="2" maxlength="2" name="dateTo_minute" value="%02d"> ' % structTimeEnd.tm_min
print '<select name="dateTo_date">'
for i in xrange(1,32):
print '<option value="%d"%s>%d' % (i, ' selected' if i == structTimeEnd.tm_mday else '', i)
print '</select><select name="dateTo_month">'
for i in xrange(1,13):
print '<option value="%d"%s>%s' % (i, ' selected' if i == structTimeEnd.tm_mon else '', months[i])
print '</select><select name="dateTo_year">'
for i in xrange(thisYear -1 , thisYear + 1):
print '<option value="%d"%s>%d' % (i, ' selected' if i == structTimeEnd.tm_year else '', i)
print '</select>'
print '<a href="#" onClick="calTo.showCalendar(\'anchorTo\',getDateString(document.forms[0].dateTo_year,document.forms[0].dateTo_month,document.forms[0].dateTo_date)); return false;" TITLE="calTo.showCalendar(\'anchorTo\',getDateString(document.forms[0].dateTo_year,document.forms[0].dateTo_month,document.forms[0].dateTo_date)); return false;" NAME="anchorTo" ID="anchorTo"><img src="/cal20px.png" align="absmiddle" width="20" height="20"></A>'
print '<input type="button" value="Update" onclick="window.location.href=timeButtonClick(%d,\'%s\',\'%s\')">' % (imageSize, voName, uriTail)
print '</td></tr>'
print '<tr><td>Image size: '
for i in imageSizes:
print '<input type="button" value="%d" onclick="window.location.href=\'/%x:%x:%s:%s%s\'"> ' % \
(i, i, timeSpan, timeEndStr, voName, uriTail)
print '</td><td align="right">'
print 'Last: '
for txt,seconds in [('Hour',3600), ('2hr',7200), ('4hr',14400), ('Day',86400),('Week',604800),('4week',2419200),('Year',31536000)]:
print '<input type="button" value="%s" onclick="window.location.href=\'/%x:%x::%s%s\'"> ' % \
(txt, imageSize, seconds, voName, uriTail)
print '</td></tr>'
print '</table></form>'
print '<div id="selectordiv" style="position:absolute;visibility:hidden;background-color:white;layer-background-color:white;"></div>'
def getBucketValue(obj):
return obj['value'] if obj['value'] else 0
def oneFactory(imageSize, timeSpan, timeEnd, timeBuckets, voName, sizeTimeRangeVO, siteName, spaceName, factoryName):
factoryFields = [
("time_received", "Time received", "time" ),
("factory_heartbeat_time", "Factory heartbeat", "time" ),
("metadata_heartbeat_time", "Metadata heartbeat", "time" ),
("mjf_heartbeat_time", "MJF heartbeat", "time" ),
("responder_heartbeat_time", "Responder heartbeat", "time" ),
("load_average", "Load average", "double"),
("running_processors", "Running processors", "str" ),
("max_processors", "Max processors", "str" ),
("running_machines", "Running machines", "str" ),
("max_machines", "Max machines", "str" ),
("running_hs06", "Running HS06", "double"),
("max_hs06", "Max HS06", "double"),
("boot_time", "Boot time", "time" ),
("daemon_version", "Daemon version", "str" ),
("os_issue", "OS version", "str" ),
("kernel_version", "Kernel", "str" ),
("mem_total_kb", "Memory total (MiB)", "MiB" ),
("mem_used_kb", "Memory used (MiB)", "MiB" ),
("swap_free_kb", "Swap free (MiB)", "MiB" ),
("swap_used_kb", "Swap used (MiB)", "MiB" ),
("root_disk_avail_inodes", "Root disk free inodes", "str" ),
("root_disk_avail_kb", "Root disk free (MB)", "MB" ),
("daemon_disk_avail_inodes", "Daemon disk free inodes", "str" ),
("daemon_disk_avail_kb", "Daemon disk free (MB)", "MB" )
]
htmlHeader('VacMon ' + factoryName)
print ('<div class="breadcrumbs"><a href="/' + sizeTimeRangeVO + '/">VacMon</a> ' +
'/ <a href="/' + sizeTimeRangeVO + '/' + siteName + '/">' + siteName + '</a> ' +
'/ <a href="/' + sizeTimeRangeVO + '/' + siteName + '/' + spaceName + '/">' + spaceName + '</a> ' +
'/ ' + factoryName.split('.')[0] + '</div>')
htmlSelector(imageSize, timeSpan, timeEnd, voName, '/' + siteName + '/' + spaceName + '/' + factoryName + '/')
if not timeEnd:
timeEnd = int(time.time())
print '<h1>Factory ' + factoryName + '</h1>'
try:
es = elasticsearch.Elasticsearch(timeout = esTimeout)
# Do factories search and store results
factoryFieldsString = [('"%s"' % i[0]) for i in factoryFields]
factoriesSearch = """{
"query":
{
"bool":
{
"filter":
[
{ "range": { "time_received": { "from": %ld, "to": %ld } } },
{ "term": { "site": "%s" } },
{ "term": { "space": "%s" } },
{ "term": { "factory": "%s" } }
]
}
},
"aggs" :
{
"factory_status":
{
"top_hits": { "sort": { "time_received": { "order": "desc" } },
"size": 1,
"docvalue_fields" : [%s] }
},
"factory_histogram":
{
"date_histogram":
{
"field" : "time_received",
"interval" : "%ds",
"format" : "epoch_second",
"min_doc_count" : 1,
"offset" : "+%lds"
},
"aggs":
{
"time_average": { "avg": { "field": "time_received" } },
"load_average": { "avg": { "field": "load_average" } },
"max_processors": { "avg": { "field": "max_processors" } },
"running_processors": { "avg": { "field": "running_processors" } },
"max_machines": { "avg": { "field": "max_machines" } },
"running_machines": { "avg": { "field": "running_machines" } },
"max_hs06": { "avg": { "field": "max_hs06" } },
"running_hs06": { "avg": { "field": "running_hs06" } },
"root_disk_avail_kb": { "avg": { "field": "root_disk_avail_kb" } },
"daemon_disk_avail_kb": { "avg": { "field": "daemon_disk_avail_kb" } },
"mem_total_kb": { "avg": { "field": "mem_total_kb" } },
"mem_used_kb": { "avg": { "field": "mem_used_kb" } },
"swap_free_kb": { "avg": { "field": "swap_free_kb" } },
"swap_used_kb": { "avg": { "field": "swap_used_kb" } }
}
}
}
}""" % (timeEnd - timeSpan, timeEnd, siteName, spaceName, factoryName,
','.join(factoryFieldsString),
timeSpan / timeBuckets,
(timeEnd - timeSpan) - ((timeEnd - timeSpan) / (timeSpan / timeBuckets)) * (timeSpan / timeBuckets))
fs = es.search(index = 'factories', size = 0, body = factoriesSearch)
print '<!-- fs took %d-->' % fs['took']
if esDebug:
print '<pre>'
pprint.pprint(json.loads(factoriesSearch))
print
pprint.pprint(fs)
print '</pre>'
loadAvgValues = [0.0] * timeBuckets
maxProcValues = [0.0] * timeBuckets
runningProcValues = [0.0] * timeBuckets
maxMachinesValues = [0.0] * timeBuckets
runningMachinesValues = [0.0] * timeBuckets
maxHS06Values = [0.0] * timeBuckets
runningHS06Values = [0.0] * timeBuckets
rootDiskValues = [0.0] * timeBuckets
daemonDiskValues = [0.0] * timeBuckets
memUsedValues = [0.0] * timeBuckets
memFreeValues = [0.0] * timeBuckets
swapUsedValues = [0.0] * timeBuckets
swapFreeValues = [0.0] * timeBuckets
try:
for bucket in fs['aggregations']['factory_histogram']['buckets']:
i = int( ((bucket['key'] / 1000) - (timeEnd - timeSpan)) / (timeSpan / timeBuckets) )
if i >= 0 and i < timeBuckets:
loadAvgValues[i] = getBucketValue(bucket['load_average'])
maxProcValues[i] = getBucketValue(bucket['max_processors'])
runningProcValues[i] = getBucketValue(bucket['running_processors'])
maxMachinesValues[i] = getBucketValue(bucket['max_machines'])
runningMachinesValues[i] = getBucketValue(bucket['running_machines'])
maxHS06Values[i] = getBucketValue(bucket['max_hs06'])
runningHS06Values[i] = getBucketValue(bucket['running_hs06'])
rootDiskValues[i] = getBucketValue(bucket['root_disk_avail_kb']) / 1000
daemonDiskValues[i] = getBucketValue(bucket['daemon_disk_avail_kb']) / 1000
memUsedValues[i] = getBucketValue(bucket['mem_used_kb']) / 1024
memFreeValues[i] = (getBucketValue(bucket['mem_total_kb']) - getBucketValue(bucket['mem_used_kb'])) / 1024
swapUsedValues[i] = getBucketValue(bucket['swap_used_kb']) / 1024
swapFreeValues[i] = getBucketValue(bucket['swap_free_kb']) / 1024
except:
pass
# Do machinetypes search and store results
machinetypesSearch = """{
"query":
{
"bool":
{
"filter":
[
{ "range": { "time_received": { "from": %ld, "to": %ld } } },
{ "term": { "site": "%s" } },
{ "term": { "space": "%s" } },
{ "term": { "factory": "%s" } }
]
}
},
"aggs" :
{
"machinetype_names":
{
"terms": { "field": "machinetype", "size": 99999, "order": { "sum_running_machines": "desc" } },
"aggs": { "sum_running_machines": { "sum": { "field": "running_machines" } },
"sum_running_hs06" : { "sum": { "field": "running_hs06" } },
"shutdown":
{
"top_hits": { "sort": { "shutdown_time": { "order": "desc" } },
"size": 1,
"docvalue_fields" : ["shutdown_time", "shutdown_message"] }
},
"status":
{
"top_hits": { "sort": { "time_received": { "order": "desc" } },
"size": 1,
"docvalue_fields" : ["fqan", "num_before_fizzle",
"running_hs06", "running_machines", "running_processors"] }
}
}
},
"machinetype_histogram":
{
"date_histogram":
{
"field" : "time_received",
"interval" : "%ds",
"format" : "epoch_second",
"min_doc_count" : 1,
"offset" : "+%lds"
},
"aggs":
{
"machinetype":
{
"terms": { "field": "machinetype", "size" : 99999 },
"aggs": { "running_processors": { "avg": { "field": "running_processors" } },
"running_machines": { "avg": { "field": "running_machines" } },
"running_hs06": { "avg": { "field": "running_hs06" } }
}
},
"time_average": { "avg": { "field": "time_received" } }
}
}
}
}""" % (timeEnd - timeSpan, timeEnd, siteName, spaceName, factoryName,
timeSpan / timeBuckets,
(timeEnd - timeSpan) - ((timeEnd - timeSpan) / (timeSpan / timeBuckets)) * (timeSpan / timeBuckets) )
ms = es.search(index = 'machinetypes', size = 0, body = machinetypesSearch)
print '<!-- ms took %d -->' % ms['took']
if esDebug:
print '<pre>'
pprint.pprint(json.loads(machinetypesSearch))
print
pprint.pprint(ms)
print '</pre>'
machinetypeRunningProcLists = {}
machinetypeRunningMachinesLists = {}
machinetypeRunningHS06Lists = {}
for j in ms['aggregations']['machinetype_names']['buckets']:
machinetypeRunningProcLists[j['key']] = [0.0] * timeBuckets
machinetypeRunningMachinesLists[j['key']] = [0.0] * timeBuckets
machinetypeRunningHS06Lists[j['key']] = [0.0] * timeBuckets
try:
for bucket in ms['aggregations']['machinetype_histogram']['buckets']:
i = int( ((bucket['key'] / 1000) - (timeEnd - timeSpan)) / (timeSpan / timeBuckets) )
if i >= 0 and i < timeBuckets:
for j in bucket['machinetype']['buckets']:
machinetypeRunningProcLists[j['key']][i] = getBucketValue(j['running_processors'])
machinetypeRunningMachinesLists[j['key']][i] = getBucketValue(j['running_machines'])
machinetypeRunningHS06Lists[j['key']][i] = getBucketValue(j['running_hs06'])
except:
pass
# Turn stored results into charts
print '<div style="text-align: center; width: 100%">'
# Load/processors on this factory
chart = VacMonStackedLine(imageSize, timeSpan, timeEnd, timeBuckets)
chart.title = 'CPU load & running processors'
chart.add('Load average', loadAvgValues, fill=True, show_dots=False)
chart.add('Running processors', runningProcValues, fill=False, show_dots=False)
chart.add('Max processors', maxProcValues, fill=False, show_dots=False)
chart.htmlPrint()
# Running processors by machinetype
chart = VacMonStackedLine(imageSize, timeSpan, timeEnd, timeBuckets)
chart.title = 'Running processors by machinetype'
for j in ms['aggregations']['machinetype_names']['buckets']:
if j['sum_running_machines']['value'] > 0.0:
chart.add( j['key'],
machinetypeRunningProcLists[j['key']],
fill=True,
show_dots=False )
chart.add('Max processors', maxProcValues, fill=False, show_dots=False)
chart.htmlPrint()
# Memory/swap on this factory
chart = VacMonStackedLine(imageSize, timeSpan, timeEnd, timeBuckets)
chart.title = 'Memory/swap'
chart.add('Mem used (MiB)', memUsedValues, fill=True, show_dots=False)
chart.add('Mem free (MiB)', memFreeValues, fill=True, show_dots=False)
chart.add('Swap used (MiB)', swapUsedValues, fill=True, show_dots=False)
chart.add('Swap free (MiB)', swapFreeValues, fill=True, show_dots=False)
chart.htmlPrint()
# Available disk on this factory
chart = VacMonStackedLine(imageSize, timeSpan, timeEnd, timeBuckets)
chart.title = 'Available disk'
chart.add('Root disk free (MB)', rootDiskValues, fill=True, show_dots=False)
chart.add('Daemon disk free (MB)', daemonDiskValues, fill=True, show_dots=False)
chart.htmlPrint()
# Running machines by machinetype
chart = VacMonStackedLine(imageSize, timeSpan, timeEnd, timeBuckets)
chart.title = 'Running machines by machinetype'
for j in ms['aggregations']['machinetype_names']['buckets']:
if j['sum_running_machines']['value'] > 0.0:
chart.add( j['key'],
machinetypeRunningMachinesLists[j['key']],
fill=True,
show_dots=False )
chart.htmlPrint()
# Running HS06 by machinetype
chart = VacMonStackedLine(imageSize, timeSpan, timeEnd, timeBuckets)
chart.title = 'Running HS06 by machinetype'
for j in ms['aggregations']['machinetype_names']['buckets']:
if j['sum_running_hs06']['value'] > 0.0:
chart.add( j['key'],
machinetypeRunningHS06Lists[j['key']],
fill=True,
show_dots=False )
chart.htmlPrint()
print '</div>'
# Table of most recent result for this factory
print '<h2>Most recent update from %s</h2>' % factoryName.split('.')[0]
print '<table class="vacmon">'
for i in factoryFields:
try:
if i[2] == 'double':
s = '%.02f' % fs['aggregations']['factory_status']['hits']['hits'][0]['fields'][i[0]][0]
elif i[2] == 'MiB':
s = fs['aggregations']['factory_status']['hits']['hits'][0]['fields'][i[0]][0] / 1024
elif i[2] == 'MB':
s = fs['aggregations']['factory_status']['hits']['hits'][0]['fields'][i[0]][0] / 1000
elif i[2] == 'time':
s = time.strftime('%d %b %Y %H:%M UTC', time.gmtime(fs['aggregations']['factory_status']['hits']['hits'][0]['fields'][i[0]][0] / 1000))
else:
s = str(fs['aggregations']['factory_status']['hits']['hits'][0]['fields'][i[0]][0])
except:
s = ' - '
try:
print '<tr><td class="vacmon">%s</td><td class="vacmon">%s</td></tr>' % ( i[1], s )
except Exception as e:
print '<tr><td class="vacmon">%s</td></tr>' % str(e)
print '</table>'
# Table of machinetypes
print '<h2>machinetypes on %s</h2>' % factoryName.split('.')[0]
print '<table class="vacmon"><tr>'
print '<th class="vacmon" colspan="4">Procs/machines/HS06</th>'
print '<th class="vacmon">Last shutdown</th>'
print '<th class="vacmon">Shutdown message</th>'
print '<th class="vacmon">FQAN</th>'
print '</tr>'
for j in ms['aggregations']['machinetype_names']['buckets']:
print '<tr><td class="vacmon">%s' % j['key']
for i in (('status', 'running_processors'),
('status', 'running_machines'),
('status', 'running_hs06'),
('shutdown', 'shutdown_time'),
('shutdown', 'shutdown_message'),
('status', 'fqan')):
print '</td><td class="vacmon">'
if i[1] == 'shutdown_time':
try:
print time.strftime('%d %b %Y %H:%M UTC', time.gmtime(j['shutdown']['hits']['hits'][0]['fields']['shutdown_time'][0] / 1000))
except:
print ' - '
else:
try:
print j[i[0]]['hits']['hits'][0]['fields'][i[1]][0]
except:
print ' - '
print '</td></tr>'
print '</table>'
except Exception as e:
print str(e)
htmlFooter()
def oneSpace(imageSize, timeSpan, timeEnd, timeBuckets, voName, sizeTimeRangeVO, siteName, spaceName):
htmlHeader('VacMon ' + spaceName)
print ('<div class="breadcrumbs"><a href="/' + sizeTimeRangeVO + '/">VacMon</a> ' +
'/ <a href="/' + sizeTimeRangeVO + '/' + siteName + '/">' + siteName + '</a> ' +
'/ ' + spaceName + '</div>')
htmlSelector(imageSize, timeSpan, timeEnd, voName, '/' + siteName + '/' + spaceName + '/')
if not timeEnd:
timeEnd = int(time.time())
print '<h1>Space ' + spaceName + '</h1>'
try:
es = elasticsearch.Elasticsearch(timeout = esTimeout)
factoriesSearch = """{
"query":
{
"bool":
{
"filter":
[
{ "range": { "time_received": { "from": %ld, "to": %ld } } },
{ "term": { "site": "%s" } },
{ "term": { "space": "%s" } }
]
}
},
"aggs" :
{
"factory_names":
{
"terms": { "field": "factory", "size" : 99999, "order" : { "_term" : "asc" } },
"aggs": { "sum_running_hs06" : { "sum": { "field": "running_hs06" } },
"factory_status":
{ "top_hits": { "sort": { "time_received": { "order": "desc" } }, "size": 1,
"docvalue_fields" : ["time_received", "boot_time", "daemon_version", "os_issue",
"load_average", "running_processors", "max_processors",
"running_machines", "max_machines"] } } }
},
"factory_histogram":
{
"date_histogram":
{
"field" : "time_received",
"interval" : "%ds",
"format" : "epoch_second",
"min_doc_count" : 1,
"offset" : "+%lds"
},
"aggs":
{
"factory":
{
"terms": { "field": "factory", "size" : 99999 },
"aggs": { "load_average": { "avg": { "field" : "load_average" } },
"max_processors": { "avg": { "field" : "max_processors" } },
"running_processors": { "avg": { "field": "running_processors" } },
"running_machines": { "avg": { "field": "running_machines" } },
"running_hs06": { "avg": { "field": "running_hs06" } }
}
},
"load_average_space": { "sum_bucket": { "buckets_path": "factory>load_average" } },
"max_processors_space": { "sum_bucket": { "buckets_path": "factory>max_processors" } },
"running_processors_space": { "sum_bucket": { "buckets_path": "factory>running_processors" } },
"running_machines_space": { "sum_bucket": { "buckets_path": "factory>running_machines" } },
"running_hs06_space": { "sum_bucket": { "buckets_path": "factory>running_hs06" } }
}
}
}
}""" % (timeEnd - timeSpan, timeEnd, siteName, spaceName, timeSpan / timeBuckets,
(timeEnd - timeSpan) - ((timeEnd - timeSpan) / (timeSpan / timeBuckets)) * (timeSpan / timeBuckets) )
fs = es.search(
index = 'factories',
size = 0,
body = factoriesSearch)
print '<!-- fs took %d -->' % fs['took']
if esDebug:
print '<pre>'
pprint.pprint(json.loads(factoriesSearch))
pprint.pprint(fs)
print '</pre>'
loadAvgValues = [0.0] * timeBuckets
maxProcValues = [0.0] * timeBuckets
factoryLoadAvgLists = {}
factoryRunningProcLists = {}
factoryRunningMachinesLists = {}
factoryRunningHS06Lists = {}
for j in fs['aggregations']['factory_names']['buckets']:
factoryLoadAvgLists[j['key']] = [0.0] * timeBuckets
factoryRunningProcLists[j['key']] = [0.0] * timeBuckets
factoryRunningMachinesLists[j['key']] = [0.0] * timeBuckets
factoryRunningHS06Lists[j['key']] = [0.0] * timeBuckets
try:
for bucket in fs['aggregations']['factory_histogram']['buckets']:
i = int( ((bucket['key'] / 1000) - (timeEnd - timeSpan)) / (timeSpan / timeBuckets) )
if i >= 0 and i < timeBuckets:
loadAvgValues[i] = getBucketValue(bucket['load_average_space'])
maxProcValues[i] = getBucketValue(bucket['max_processors_space'])
for j in bucket['factory']['buckets']:
factoryLoadAvgLists[j['key']][i] = getBucketValue(j['load_average'])
factoryRunningProcLists[j['key']][i] = getBucketValue(j['running_processors'])
factoryRunningMachinesLists[j['key']][i] = getBucketValue(j['running_machines'])
factoryRunningHS06Lists[j['key']][i] = getBucketValue(j['running_hs06'])
except:
pass
machinetypesSearch = """{
"query":
{
"bool":
{
"filter":
[
{ "range": { "time_received": { "from": %ld, "to": %ld } } },
{ "term": { "site": "%s" } },
{ "term": { "space": "%s" } }
]
}
},
"aggs":
{
"machinetype_names":
{
"terms": { "field": "machinetype", "size": 99999, "order": { "sum_running_machines": "desc" } },
"aggs": { "sum_running_machines": { "sum": { "field": "running_machines" } },
"sum_running_hs06" : { "sum": { "field": "running_hs06" } },
"shutdown":
{
"top_hits": { "sort": { "shutdown_time": { "order": "desc" } },
"size": 1,
"docvalue_fields" : ["shutdown_time", "shutdown_message", "factory", "fqan"] }
}
}
},
"machinetype_histogram":
{
"date_histogram":
{
"field" : "time_received",
"interval" : "%ds",
"format" : "epoch_second",
"min_doc_count" : 1,
"offset" : "+%lds"
},
"aggs":
{
"machinetype":
{
"terms": { "field": "machinetype", "size" : 99999 },
"aggs": { "running_processors": { "sum_bucket": { "buckets_path": "factory>running_processors" } },
"running_machines": { "sum_bucket": { "buckets_path": "factory>running_machines" } },
"running_hs06": { "sum_bucket": { "buckets_path": "factory>running_hs06" } },
"factory": {
"terms": { "field": "factory", "size" : 99999 },
"aggs": { "running_processors": { "avg": { "field": "running_processors" } },
"running_machines": { "avg": { "field": "running_machines" } },
"running_hs06": { "avg": { "field": "running_hs06" } }
}
}
}
}
}
}
}
}""" % (timeEnd - timeSpan, timeEnd, siteName, spaceName,
timeSpan / timeBuckets,
(timeEnd - timeSpan) - ((timeEnd - timeSpan) / (timeSpan / timeBuckets)) * (timeSpan / timeBuckets) )
ms = es.search(
index = 'machinetypes',
filter_path = [ 'aggregations.machinetype_histogram.buckets.key',
'aggregations.machinetype_histogram.buckets.running*',
'aggregations.machinetype_histogram.buckets.machinetype.buckets.key',
'aggregations.machinetype_histogram.buckets.machinetype.buckets.running*',
'aggregations.vo_histogram.buckets.key',
'aggregations.vo_histogram.buckets.running*',
'aggregations.vo_histogram.buckets.vo.buckets.key',
'aggregations.vo_histogram.buckets.vo.buckets.running*',
'took',
'aggregations.machinetype_names.**',
'aggregations.vo_names.**'
],
size = 0,
body = machinetypesSearch)
print '<!-- ms took %d -->' % ms['took']
if esDebug:
print '<pre>'
pprint.pprint(json.loads(machinetypesSearch))
print
pprint.pprint(ms)
print '</pre>'
machinetypeRunningProcLists = {}
machinetypeRunningMachinesLists = {}
machinetypeRunningHS06Lists = {}
for j in ms['aggregations']['machinetype_names']['buckets']:
machinetypeRunningProcLists[j['key']] = [0.0] * timeBuckets
machinetypeRunningMachinesLists[j['key']] = [0.0] * timeBuckets
machinetypeRunningHS06Lists[j['key']] = [0.0] * timeBuckets
try:
for bucket in ms['aggregations']['machinetype_histogram']['buckets']:
i = int( ((bucket['key'] / 1000) - (timeEnd - timeSpan)) / (timeSpan / timeBuckets) )
if i >= 0 and i < timeBuckets:
for j in bucket['machinetype']['buckets']:
machinetypeRunningProcLists[j['key']][i] = getBucketValue(j['running_processors'])
machinetypeRunningMachinesLists[j['key']][i] = getBucketValue(j['running_machines'])
machinetypeRunningHS06Lists[j['key']][i] = getBucketValue(j['running_hs06'])
except:
pass
# Turn results into charts
print '<div style="text-align: center; width: 100%">'
# CPU load by factory
chart = VacMonStackedLine(imageSize, timeSpan, timeEnd, timeBuckets, legend_at_bottom_columns=4)
chart.title = 'CPU load by factory'
for j in fs['aggregations']['factory_names']['buckets']:
chart.add( { 'title': j['key'].split('.')[0], 'xlink': {'href': '/%s/%s/%s/%s/' % (sizeTimeRangeVO, siteName, spaceName, j['key']) } },
factoryLoadAvgLists[j['key']],
fill=True,
show_dots=False)
chart.htmlPrint()
# Running processors by factory
chart = VacMonStackedLine(imageSize, timeSpan, timeEnd, timeBuckets, legend_at_bottom_columns=4)
chart.title = 'Running processors by factory'
for j in fs['aggregations']['factory_names']['buckets']:
chart.add( { 'title': j['key'].split('.')[0], 'xlink': {'href': '/%s/%s/%s/%s/' % (sizeTimeRangeVO, siteName, spaceName, j['key']) } },
factoryRunningProcLists[j['key']],
fill=True,
show_dots=False )
chart.add('Max processors', maxProcValues, fill=False, show_dots=False)
chart.htmlPrint()
# Running machines by factory
chart = VacMonStackedLine(imageSize, timeSpan, timeEnd, timeBuckets, legend_at_bottom_columns=4)
chart.title = 'Running machines by factory'
for j in fs['aggregations']['factory_names']['buckets']:
chart.add( { 'title': j['key'].split('.')[0], 'xlink': {'href': '/%s/%s/%s/%s/' % (sizeTimeRangeVO, siteName, spaceName, j['key']) } },
factoryRunningMachinesLists[j['key']],
fill=True,
show_dots=False )
chart.htmlPrint()
# Running processors by machinetype
chart = VacMonStackedLine(imageSize, timeSpan, timeEnd, timeBuckets, legend_at_bottom_columns=4)
chart.title = 'Running processors by machinetype'
for j in ms['aggregations']['machinetype_names']['buckets']:
if j['sum_running_machines']['value'] > 0.0:
chart.add( j['key'],
machinetypeRunningProcLists[j['key']],
fill=True,
show_dots=False )
chart.add('Max processors', maxProcValues, fill=False, show_dots=False)
chart.htmlPrint()
# Running machines by machinetype
chart = VacMonStackedLine(imageSize, timeSpan, timeEnd, timeBuckets, legend_at_bottom_columns=4)
chart.title = 'Running machines by machinetype'
for j in ms['aggregations']['machinetype_names']['buckets']:
if j['sum_running_machines']['value'] > 0.0:
chart.add( j['key'],
machinetypeRunningMachinesLists[j['key']],
fill=True,
show_dots=False )
chart.htmlPrint()
print '<h2>From factories publishing HS06</h2>'
# Running HS06 by factory
chart = VacMonStackedLine(imageSize, timeSpan, timeEnd, timeBuckets, legend_at_bottom_columns=4)
chart.title = 'Running HS06 by factory'
for j in fs['aggregations']['factory_names']['buckets']:
if j['sum_running_hs06']['value'] > 0.0:
chart.add( { 'title': j['key'].split('.')[0], 'xlink': {'href': '/%s/%s/%s/%s/' % (sizeTimeRangeVO, siteName, spaceName, j['key']) } },
factoryRunningHS06Lists[j['key']],
fill=True,
show_dots=False )
chart.htmlPrint()
# Running HS06 by machinetype
chart = VacMonStackedLine(imageSize, timeSpan, timeEnd, timeBuckets, legend_at_bottom_columns=4)
chart.title = 'Running HS06 by machinetype'
for j in ms['aggregations']['machinetype_names']['buckets']:
if j['sum_running_hs06']['value'] > 0.0:
chart.add( j['key'],
machinetypeRunningHS06Lists[j['key']],
fill=True,
show_dots=False )
chart.htmlPrint()
print '</div>'
# Table of most recent results for factories in this space
print '<h2>Most recent update from factories in %s</h2>' % spaceName
print '<table class="vacmon"><tr>'
print '<th class="vacmon">Factory</th>'
print '<th class="vacmon">Load</th>'
print '<th class="vacmon">Procs</th>'
print '<th class="vacmon">Machines</th>'
print '<th class="vacmon">Last message</th>'
print '<th class="vacmon">Daemon version</th>'
print '<th class="vacmon">Boot time</th>'
print '<th class="vacmon">OS version</th>'
print '</tr>'
for j in fs['aggregations']['factory_names']['buckets']:
print '<tr><td class="vacmon"><a href="/%s/%s/%s/%s/">%s</a>' % (sizeTimeRangeVO, siteName, spaceName, j['key'], j['key'].split('.')[0])
for i in ('load_average', 'running_processors', 'running_machines',
'time_received', 'daemon_version', 'boot_time', 'os_issue'):
print '</td>'
try:
s = j['factory_status']['hits']['hits'][0]['fields'][i][0]
except:
print '<td class="vacmon"> - '
else:
if 'time' in i:
# datetime.strptime("2016-08-06T06:07:36.349Z","%Y-%m-%dT%H:%M:%S.%fZ")